id	sid	tid	token	lemma	pos
hintze-artificial-2020	1	1	Artificial	Artificial	NNP
hintze-artificial-2020	1	2	Intelligence	Intelligence	NNP
hintze-artificial-2020	1	3	in	in	IN
hintze-artificial-2020	1	4	the	the	DT
hintze-artificial-2020	1	5	Humanities	Humanities	NNPS
hintze-artificial-2020	1	6	:	:	:
hintze-artificial-2020	1	7	Wolf	Wolf	NNP
hintze-artificial-2020	1	8	in	in	IN
hintze-artificial-2020	1	9	Disguise	Disguise	NNP
hintze-artificial-2020	1	10	,	,	,
hintze-artificial-2020	1	11	or	or	CC
hintze-artificial-2020	1	12	Digital	Digital	NNP
hintze-artificial-2020	1	13	Revolution	Revolution	NNP
hintze-artificial-2020	1	14	?	?	.
hintze-artificial-2020	2	1	Introduction	Introduction	NNP
hintze-artificial-2020	2	2	Artificial	Artificial	NNP
hintze-artificial-2020	2	3	Intelligence	Intelligence	NNP
hintze-artificial-2020	2	4	,	,	,
hintze-artificial-2020	2	5	with	with	IN
hintze-artificial-2020	2	6	its	-PRON-	PRP$
hintze-artificial-2020	2	7	ability	ability	NN
hintze-artificial-2020	2	8	to	to	TO
hintze-artificial-2020	2	9	machine	machine	NN
hintze-artificial-2020	2	10	learn	learn	VB
hintze-artificial-2020	2	11	coupled	couple	VBN
hintze-artificial-2020	2	12	to	to	IN
hintze-artificial-2020	2	13	an	an	DT
hintze-artificial-2020	2	14	almost	almost	RB
hintze-artificial-2020	2	15	humanlike	humanlike	JJ
hintze-artificial-2020	2	16	understanding	understanding	NN
hintze-artificial-2020	2	17	,	,	,
hintze-artificial-2020	2	18	sounds	sound	VBZ
hintze-artificial-2020	2	19	like	like	IN
hintze-artificial-2020	2	20	the	the	DT
hintze-artificial-2020	2	21	ideal	ideal	JJ
hintze-artificial-2020	2	22	tool	tool	NN
hintze-artificial-2020	2	23	to	to	IN
hintze-artificial-2020	2	24	the	the	DT
hintze-artificial-2020	2	25	humanities	humanity	NNS
hintze-artificial-2020	2	26	.	.	.
hintze-artificial-2020	3	1	Instead	instead	RB
hintze-artificial-2020	3	2	of	of	IN
hintze-artificial-2020	3	3	using	use	VBG
hintze-artificial-2020	3	4	primitive	primitive	JJ
hintze-artificial-2020	3	5	quantitative	quantitative	JJ
hintze-artificial-2020	3	6	methods	method	NNS
hintze-artificial-2020	3	7	to	to	TO
hintze-artificial-2020	3	8	count	count	VB
hintze-artificial-2020	3	9	words	word	NNS
hintze-artificial-2020	3	10	or	or	CC
hintze-artificial-2020	3	11	catalogue	catalogue	NN
hintze-artificial-2020	3	12	books	book	NNS
hintze-artificial-2020	3	13	,	,	,
hintze-artificial-2020	3	14	current	current	JJ
hintze-artificial-2020	3	15	advancements	advancement	NNS
hintze-artificial-2020	3	16	promise	promise	VBP
hintze-artificial-2020	3	17	to	to	TO
hintze-artificial-2020	3	18	reveal	reveal	VB
hintze-artificial-2020	3	19	insights	insight	NNS
hintze-artificial-2020	3	20	that	that	WDT
hintze-artificial-2020	3	21	otherwise	otherwise	RB
hintze-artificial-2020	3	22	could	could	MD
hintze-artificial-2020	3	23	only	only	RB
hintze-artificial-2020	3	24	be	be	VB
hintze-artificial-2020	3	25	obtained	obtain	VBN
hintze-artificial-2020	3	26	by	by	IN
hintze-artificial-2020	3	27	years	year	NNS
hintze-artificial-2020	3	28	of	of	IN
hintze-artificial-2020	3	29	dedicated	dedicated	JJ
hintze-artificial-2020	3	30	scholarship	scholarship	NN
hintze-artificial-2020	3	31	.	.	.
hintze-artificial-2020	4	1	But	but	CC
hintze-artificial-2020	4	2	are	be	VBP
hintze-artificial-2020	4	3	these	these	DT
hintze-artificial-2020	4	4	technologies	technology	NNS
hintze-artificial-2020	4	5	imbued	imbue	VBN
hintze-artificial-2020	4	6	with	with	IN
hintze-artificial-2020	4	7	intuition	intuition	NN
hintze-artificial-2020	4	8	or	or	CC
hintze-artificial-2020	4	9	understanding	understanding	NN
hintze-artificial-2020	4	10	,	,	,
hintze-artificial-2020	4	11	and	and	CC
hintze-artificial-2020	4	12	do	do	VBP
hintze-artificial-2020	4	13	they	-PRON-	PRP
hintze-artificial-2020	4	14	learn	learn	VB
hintze-artificial-2020	4	15	like	like	IN
hintze-artificial-2020	4	16	humans	human	NNS
hintze-artificial-2020	4	17	?	?	.
hintze-artificial-2020	5	1	Are	be	VBP
hintze-artificial-2020	5	2	they	-PRON-	PRP
hintze-artificial-2020	5	3	capable	capable	JJ
hintze-artificial-2020	5	4	of	of	IN
hintze-artificial-2020	5	5	developing	develop	VBG
hintze-artificial-2020	5	6	their	-PRON-	PRP$
hintze-artificial-2020	5	7	own	own	JJ
hintze-artificial-2020	5	8	perspective	perspective	NN
hintze-artificial-2020	5	9	,	,	,
hintze-artificial-2020	5	10	and	and	CC
hintze-artificial-2020	5	11	can	can	MD
hintze-artificial-2020	5	12	they	-PRON-	PRP
hintze-artificial-2020	5	13	aid	aid	VB
hintze-artificial-2020	5	14	in	in	IN
hintze-artificial-2020	5	15	qualitative	qualitative	JJ
hintze-artificial-2020	5	16	research	research	NN
hintze-artificial-2020	5	17	?	?	.
hintze-artificial-2020	6	1	In	in	IN
hintze-artificial-2020	6	2	the	the	DT
hintze-artificial-2020	6	3	80s	80	NNS
hintze-artificial-2020	6	4	and	and	CC
hintze-artificial-2020	6	5	90s	90	NNS
hintze-artificial-2020	6	6	,	,	,
hintze-artificial-2020	6	7	as	as	IN
hintze-artificial-2020	6	8	home	home	NN
hintze-artificial-2020	6	9	computers	computer	NNS
hintze-artificial-2020	6	10	were	be	VBD
hintze-artificial-2020	6	11	becoming	become	VBG
hintze-artificial-2020	6	12	more	more	RBR
hintze-artificial-2020	6	13	common	common	JJ
hintze-artificial-2020	6	14	,	,	,
hintze-artificial-2020	6	15	Hollywood	Hollywood	NNP
hintze-artificial-2020	6	16	was	be	VBD
hintze-artificial-2020	6	17	sensationalizing	sensationalize	VBG
hintze-artificial-2020	6	18	the	the	DT
hintze-artificial-2020	6	19	idea	idea	NN
hintze-artificial-2020	6	20	of	of	IN
hintze-artificial-2020	6	21	smart	smart	JJ
hintze-artificial-2020	6	22	or	or	CC
hintze-artificial-2020	6	23	human	human	JJ
hintze-artificial-2020	6	24	-	-	HYPH
hintze-artificial-2020	6	25	like	like	JJ
hintze-artificial-2020	6	26	Artificial	Artificial	NNP
hintze-artificial-2020	6	27	Intelligent	Intelligent	NNP
hintze-artificial-2020	6	28	machines	machine	NNS
hintze-artificial-2020	6	29	(	(	-LRB-
hintze-artificial-2020	6	30	AI	AI	NNP
hintze-artificial-2020	6	31	)	)	-RRB-
hintze-artificial-2020	6	32	through	through	IN
hintze-artificial-2020	6	33	movies	movie	NNS
hintze-artificial-2020	6	34	such	such	JJ
hintze-artificial-2020	6	35	as	as	IN
hintze-artificial-2020	6	36	Terminator	Terminator	NNP
hintze-artificial-2020	6	37	,	,	,
hintze-artificial-2020	6	38	Blade	Blade	NNP
hintze-artificial-2020	6	39	Runner	Runner	NNP
hintze-artificial-2020	6	40	,	,	,
hintze-artificial-2020	6	41	Short	Short	NNP
hintze-artificial-2020	6	42	Circuit	Circuit	NNP
hintze-artificial-2020	6	43	,	,	,
hintze-artificial-2020	6	44	and	and	CC
hintze-artificial-2020	6	45	Bicentennial	Bicentennial	NNP
hintze-artificial-2020	6	46	Man	Man	NNP
hintze-artificial-2020	6	47	.	.	.
hintze-artificial-2020	7	1	At	at	IN
hintze-artificial-2020	7	2	the	the	DT
hintze-artificial-2020	7	3	same	same	JJ
hintze-artificial-2020	7	4	time	time	NN
hintze-artificial-2020	7	5	,	,	,
hintze-artificial-2020	7	6	the	the	DT
hintze-artificial-2020	7	7	home	home	NN
hintze-artificial-2020	7	8	experience	experience	NN
hintze-artificial-2020	7	9	of	of	IN
hintze-artificial-2020	7	10	personal	personal	JJ
hintze-artificial-2020	7	11	computing	computing	NN
hintze-artificial-2020	7	12	highlighted	highlight	VBD
hintze-artificial-2020	7	13	the	the	DT
hintze-artificial-2020	7	14	difference	difference	NN
hintze-artificial-2020	7	15	between	between	IN
hintze-artificial-2020	7	16	Hollywood	Hollywood	NNP
hintze-artificial-2020	7	17	intelligent	intelligent	JJ
hintze-artificial-2020	7	18	machines	machine	NNS
hintze-artificial-2020	7	19	and	and	CC
hintze-artificial-2020	7	20	the	the	DT
hintze-artificial-2020	7	21	reality	reality	NN
hintze-artificial-2020	7	22	of	of	IN
hintze-artificial-2020	7	23	how	how	WRB
hintze-artificial-2020	7	24	“	"	``
hintze-artificial-2020	7	25	dumb	dumb	JJ
hintze-artificial-2020	7	26	”	"	''
hintze-artificial-2020	7	27	machines	machine	NNS
hintze-artificial-2020	7	28	really	really	RB
hintze-artificial-2020	7	29	were	be	VBD
hintze-artificial-2020	7	30	.	.	.
hintze-artificial-2020	8	1	Home	home	NN
hintze-artificial-2020	8	2	,	,	,
hintze-artificial-2020	8	3	or	or	CC
hintze-artificial-2020	8	4	even	even	RB
hintze-artificial-2020	8	5	industry	industry	NN
hintze-artificial-2020	8	6	machines	machine	NNS
hintze-artificial-2020	8	7	,	,	,
hintze-artificial-2020	8	8	could	could	MD
hintze-artificial-2020	8	9	not	not	RB
hintze-artificial-2020	8	10	answer	answer	VB
hintze-artificial-2020	8	11	simple	simple	JJ
hintze-artificial-2020	8	12	natural	natural	JJ
hintze-artificial-2020	8	13	language	language	NN
hintze-artificial-2020	8	14	questions	question	NNS
hintze-artificial-2020	8	15	of	of	IN
hintze-artificial-2020	8	16	anything	anything	NN
hintze-artificial-2020	8	17	but	but	IN
hintze-artificial-2020	8	18	the	the	DT
hintze-artificial-2020	8	19	simplest	simple	JJS
hintze-artificial-2020	8	20	of	of	IN
hintze-artificial-2020	8	21	complexity	complexity	NN
hintze-artificial-2020	8	22	.	.	.
hintze-artificial-2020	9	1	Instead	instead	RB
hintze-artificial-2020	9	2	,	,	,
hintze-artificial-2020	9	3	users	user	NNS
hintze-artificial-2020	9	4	or	or	CC
hintze-artificial-2020	9	5	programmers	programmer	NNS
hintze-artificial-2020	9	6	needed	need	VBN
hintze-artificial-2020	9	7	to	to	TO
hintze-artificial-2020	9	8	painstakingly	painstakingly	RB
hintze-artificial-2020	9	9	implement	implement	VB
hintze-artificial-2020	9	10	an	an	DT
hintze-artificial-2020	9	11	algorithm	algorithm	NN
hintze-artificial-2020	9	12	to	to	TO
hintze-artificial-2020	9	13	address	address	VB
hintze-artificial-2020	9	14	their	-PRON-	PRP$
hintze-artificial-2020	9	15	question	question	NN
hintze-artificial-2020	9	16	.	.	.
hintze-artificial-2020	10	1	Then	then	RB
hintze-artificial-2020	10	2	,	,	,
hintze-artificial-2020	10	3	the	the	DT
hintze-artificial-2020	10	4	user	user	NN
hintze-artificial-2020	10	5	was	be	VBD
hintze-artificial-2020	10	6	required	require	VBN
hintze-artificial-2020	10	7	to	to	TO
hintze-artificial-2020	10	8	wait	wait	VB
hintze-artificial-2020	10	9	for	for	IN
hintze-artificial-2020	10	10	the	the	DT
hintze-artificial-2020	10	11	machine	machine	NN
hintze-artificial-2020	10	12	to	to	TO
hintze-artificial-2020	10	13	slavishly	slavishly	RB
hintze-artificial-2020	10	14	follow	follow	VB
hintze-artificial-2020	10	15	each	each	DT
hintze-artificial-2020	10	16	instruction	instruction	NN
hintze-artificial-2020	10	17	that	that	WDT
hintze-artificial-2020	10	18	was	be	VBD
hintze-artificial-2020	10	19	programmed	program	VBN
hintze-artificial-2020	10	20	while	while	IN
hintze-artificial-2020	10	21	hoping	hope	VBG
hintze-artificial-2020	10	22	that	that	IN
hintze-artificial-2020	10	23	whoever	whoever	WP
hintze-artificial-2020	10	24	entered	enter	VBD
hintze-artificial-2020	10	25	the	the	DT
hintze-artificial-2020	10	26	instructions	instruction	NNS
hintze-artificial-2020	10	27	did	do	VBD
hintze-artificial-2020	10	28	not	not	RB
hintze-artificial-2020	10	29	make	make	VB
hintze-artificial-2020	10	30	a	a	DT
hintze-artificial-2020	10	31	mistake	mistake	NN
hintze-artificial-2020	10	32	.	.	.
hintze-artificial-2020	11	1	Despite	despite	IN
hintze-artificial-2020	11	2	the	the	DT
hintze-artificial-2020	11	3	Hollywood	Hollywood	NNP
hintze-artificial-2020	11	4	intelligent	intelligent	JJ
hintze-artificial-2020	11	5	machines	machine	NNS
hintze-artificial-2020	11	6	sensation	sensation	NN
hintze-artificial-2020	11	7	,	,	,
hintze-artificial-2020	11	8	people	people	NNS
hintze-artificial-2020	11	9	understood	understand	VBD
hintze-artificial-2020	11	10	that	that	IN
hintze-artificial-2020	11	11	computers	computer	NNS
hintze-artificial-2020	11	12	did	do	VBD
hintze-artificial-2020	11	13	not	not	RB
hintze-artificial-2020	11	14	and	and	CC
hintze-artificial-2020	11	15	could	could	MD
hintze-artificial-2020	11	16	not	not	RB
hintze-artificial-2020	11	17	think	think	VB
hintze-artificial-2020	11	18	like	like	IN
hintze-artificial-2020	11	19	humans	human	NNS
hintze-artificial-2020	11	20	,	,	,
hintze-artificial-2020	11	21	but	but	CC
hintze-artificial-2020	11	22	that	that	IN
hintze-artificial-2020	11	23	they	-PRON-	PRP
hintze-artificial-2020	11	24	do	do	VBP
hintze-artificial-2020	11	25	excel	excel	VB
hintze-artificial-2020	11	26	at	at	IN
hintze-artificial-2020	11	27	performing	perform	VBG
hintze-artificial-2020	11	28	repetitive	repetitive	JJ
hintze-artificial-2020	11	29	tasks	task	NNS
hintze-artificial-2020	11	30	with	with	IN
hintze-artificial-2020	11	31	extreme	extreme	JJ
hintze-artificial-2020	11	32	speed	speed	NN
hintze-artificial-2020	11	33	and	and	CC
hintze-artificial-2020	11	34	fidelity	fidelity	NN
hintze-artificial-2020	11	35	.	.	.
hintze-artificial-2020	12	1	This	this	DT
hintze-artificial-2020	12	2	shaped	shape	VBD
hintze-artificial-2020	12	3	the	the	DT
hintze-artificial-2020	12	4	expectations	expectation	NNS
hintze-artificial-2020	12	5	for	for	IN
hintze-artificial-2020	12	6	interacting	interact	VBG
hintze-artificial-2020	12	7	with	with	IN
hintze-artificial-2020	12	8	computers	computer	NNS
hintze-artificial-2020	12	9	.	.	.
hintze-artificial-2020	13	1	Computers	computer	NNS
hintze-artificial-2020	13	2	became	become	VBD
hintze-artificial-2020	13	3	efficient	efficient	JJ
hintze-artificial-2020	13	4	tools	tool	NNS
hintze-artificial-2020	13	5	that	that	WDT
hintze-artificial-2020	13	6	required	require	VBD
hintze-artificial-2020	13	7	specific	specific	JJ
hintze-artificial-2020	13	8	instruction	instruction	NN
hintze-artificial-2020	13	9	in	in	IN
hintze-artificial-2020	13	10	order	order	NN
hintze-artificial-2020	13	11	to	to	TO
hintze-artificial-2020	13	12	achieve	achieve	VB
hintze-artificial-2020	13	13	a	a	DT
hintze-artificial-2020	13	14	desired	desire	VBN
hintze-artificial-2020	13	15	outcome	outcome	NN
hintze-artificial-2020	13	16	.	.	.
hintze-artificial-2020	14	1	Comment	comment	NN
hintze-artificial-2020	14	2	by	by	IN
hintze-artificial-2020	14	3	Daniel	Daniel	NNP
hintze-artificial-2020	14	4	Johnson	Johnson	NNP
hintze-artificial-2020	14	5	:	:	:
hintze-artificial-2020	14	6	Good	good	JJ
hintze-artificial-2020	14	7	!	!	.
hintze-artificial-2020	15	1	This	this	DT
hintze-artificial-2020	15	2	is	be	VBZ
hintze-artificial-2020	15	3	nicely	nicely	RB
hintze-artificial-2020	15	4	set	set	VBN
hintze-artificial-2020	15	5	up	up	RP
hintze-artificial-2020	15	6	by	by	IN
hintze-artificial-2020	15	7	the	the	DT
hintze-artificial-2020	15	8	new	new	NNP
hintze-artificial-2020	15	9	intro	intro	NNP
hintze-artificial-2020	15	10	paragraph	paragraph	NN
hintze-artificial-2020	15	11	.	.	.
hintze-artificial-2020	16	1	Computational	computational	JJ
hintze-artificial-2020	16	2	technology	technology	NN
hintze-artificial-2020	16	3	and	and	CC
hintze-artificial-2020	16	4	user	user	NN
hintze-artificial-2020	16	5	experience	experience	NN
hintze-artificial-2020	16	6	drastically	drastically	RB
hintze-artificial-2020	16	7	changed	change	VBD
hintze-artificial-2020	16	8	over	over	IN
hintze-artificial-2020	16	9	the	the	DT
hintze-artificial-2020	16	10	next	next	JJ
hintze-artificial-2020	16	11	20	20	CD
hintze-artificial-2020	16	12	years	year	NNS
hintze-artificial-2020	16	13	.	.	.
hintze-artificial-2020	17	1	Technology	technology	NN
hintze-artificial-2020	17	2	became	become	VBD
hintze-artificial-2020	17	3	much	much	RB
hintze-artificial-2020	17	4	more	more	RBR
hintze-artificial-2020	17	5	intuitive	intuitive	JJ
hintze-artificial-2020	17	6	to	to	TO
hintze-artificial-2020	17	7	use	use	VB
hintze-artificial-2020	17	8	while	while	IN
hintze-artificial-2020	17	9	it	-PRON-	PRP
hintze-artificial-2020	17	10	also	also	RB
hintze-artificial-2020	17	11	became	become	VBD
hintze-artificial-2020	17	12	much	much	RB
hintze-artificial-2020	17	13	more	more	RBR
hintze-artificial-2020	17	14	powerful	powerful	JJ
hintze-artificial-2020	17	15	at	at	IN
hintze-artificial-2020	17	16	handling	handle	VBG
hintze-artificial-2020	17	17	large	large	JJ
hintze-artificial-2020	17	18	data	data	NN
hintze-artificial-2020	17	19	sets	set	NNS
hintze-artificial-2020	17	20	.	.	.
hintze-artificial-2020	18	1	For	for	IN
hintze-artificial-2020	18	2	instance	instance	NN
hintze-artificial-2020	18	3	,	,	,
hintze-artificial-2020	18	4	Google	Google	NNP
hintze-artificial-2020	18	5	can	can	MD
hintze-artificial-2020	18	6	return	return	VB
hintze-artificial-2020	18	7	search	search	NN
hintze-artificial-2020	18	8	results	result	NNS
hintze-artificial-2020	18	9	for	for	IN
hintze-artificial-2020	18	10	websites	website	NNS
hintze-artificial-2020	18	11	as	as	IN
hintze-artificial-2020	18	12	a	a	DT
hintze-artificial-2020	18	13	response	response	NN
hintze-artificial-2020	18	14	to	to	TO
hintze-artificial-2020	18	15	even	even	RB
hintze-artificial-2020	18	16	the	the	DT
hintze-artificial-2020	18	17	silliest	silly	JJS
hintze-artificial-2020	18	18	or	or	CC
hintze-artificial-2020	18	19	sparsest	sparse	JJS
hintze-artificial-2020	18	20	request	request	NN
hintze-artificial-2020	18	21	,	,	,
hintze-artificial-2020	18	22	with	with	IN
hintze-artificial-2020	18	23	a	a	DT
hintze-artificial-2020	18	24	decent	decent	JJ
hintze-artificial-2020	18	25	chance	chance	NN
hintze-artificial-2020	18	26	that	that	IN
hintze-artificial-2020	18	27	the	the	DT
hintze-artificial-2020	18	28	results	result	NNS
hintze-artificial-2020	18	29	are	be	VBP
hintze-artificial-2020	18	30	relevant	relevant	JJ
hintze-artificial-2020	18	31	to	to	IN
hintze-artificial-2020	18	32	the	the	DT
hintze-artificial-2020	18	33	question	question	NN
hintze-artificial-2020	18	34	asked	ask	VBD
hintze-artificial-2020	18	35	.	.	.
hintze-artificial-2020	19	1	Did	do	VBD
hintze-artificial-2020	19	2	you	-PRON-	PRP
hintze-artificial-2020	19	3	read	read	VB
hintze-artificial-2020	19	4	a	a	DT
hintze-artificial-2020	19	5	manual	manual	NN
hintze-artificial-2020	19	6	before	before	IN
hintze-artificial-2020	19	7	you	-PRON-	PRP
hintze-artificial-2020	19	8	used	use	VBD
hintze-artificial-2020	19	9	your	-PRON-	PRP$
hintze-artificial-2020	19	10	smartphone	smartphone	NN
hintze-artificial-2020	19	11	,	,	,
hintze-artificial-2020	19	12	or	or	CC
hintze-artificial-2020	19	13	did	do	VBD
hintze-artificial-2020	19	14	you	-PRON-	PRP
hintze-artificial-2020	19	15	like	like	VB
hintze-artificial-2020	19	16	everyone	everyone	NN
hintze-artificial-2020	19	17	else	else	RB
hintze-artificial-2020	19	18	just	just	RB
hintze-artificial-2020	19	19	“	"	``
hintze-artificial-2020	19	20	figure	figure	VB
hintze-artificial-2020	19	21	it	-PRON-	PRP
hintze-artificial-2020	19	22	out	out	RP
hintze-artificial-2020	19	23	”	"	''
hintze-artificial-2020	19	24	?	?	.
hintze-artificial-2020	20	1	Or	or	CC
hintze-artificial-2020	20	2	,	,	,
hintze-artificial-2020	20	3	as	as	IN
hintze-artificial-2020	20	4	a	a	DT
hintze-artificial-2020	20	5	consequence	consequence	NN
hintze-artificial-2020	20	6	of	of	IN
hintze-artificial-2020	20	7	modern	modern	JJ
hintze-artificial-2020	20	8	-	-	HYPH
hintze-artificial-2020	20	9	day	day	NN
hintze-artificial-2020	20	10	media	medium	NNS
hintze-artificial-2020	20	11	and	and	CC
hintze-artificial-2020	20	12	its	-PRON-	PRP$
hintze-artificial-2020	20	13	on	on	IN
hintze-artificial-2020	20	14	-	-	HYPH
hintze-artificial-2020	20	15	demand	demand	NN
hintze-artificial-2020	20	16	services	service	NNS
hintze-artificial-2020	20	17	,	,	,
hintze-artificial-2020	20	18	children	child	NNS
hintze-artificial-2020	20	19	ask	ask	VBP
hintze-artificial-2020	20	20	to	to	TO
hintze-artificial-2020	20	21	skip	skip	VB
hintze-artificial-2020	20	22	a	a	DT
hintze-artificial-2020	20	23	song	song	NN
hintze-artificial-2020	20	24	playing	play	VBG
hintze-artificial-2020	20	25	through	through	IN
hintze-artificial-2020	20	26	radio	radio	NN
hintze-artificial-2020	20	27	broadcast	broadcast	NN
hintze-artificial-2020	20	28	.	.	.
hintze-artificial-2020	21	1	The	the	DT
hintze-artificial-2020	21	2	older	old	JJR
hintze-artificial-2020	21	3	technologies	technology	NNS
hintze-artificial-2020	21	4	quickly	quickly	RB
hintze-artificial-2020	21	5	feel	feel	VBP
hintze-artificial-2020	21	6	archaic	archaic	NN
hintze-artificial-2020	21	7	.	.	.
hintze-artificial-2020	22	1	Comment	comment	NN
hintze-artificial-2020	22	2	by	by	IN
hintze-artificial-2020	22	3	Daniel	Daniel	NNP
hintze-artificial-2020	22	4	Johnson	Johnson	NNP
hintze-artificial-2020	22	5	:	:	:
hintze-artificial-2020	22	6	Did	do	VBD
hintze-artificial-2020	22	7	just	just	RB
hintze-artificial-2020	22	8	a	a	DT
hintze-artificial-2020	22	9	little	little	JJ
hintze-artificial-2020	22	10	language	language	NN
hintze-artificial-2020	22	11	tightening	tightening	NN
hintze-artificial-2020	22	12	here	here	RB
hintze-artificial-2020	22	13	.	.	.
hintze-artificial-2020	23	1	These	these	DT
hintze-artificial-2020	23	2	technological	technological	JJ
hintze-artificial-2020	23	3	advancements	advancement	NNS
hintze-artificial-2020	23	4	go	go	VBP
hintze-artificial-2020	23	5	hand	hand	NN
hintze-artificial-2020	23	6	in	in	IN
hintze-artificial-2020	23	7	hand	hand	NN
hintze-artificial-2020	23	8	with	with	IN
hintze-artificial-2020	23	9	the	the	DT
hintze-artificial-2020	23	10	developments	development	NNS
hintze-artificial-2020	23	11	in	in	IN
hintze-artificial-2020	23	12	the	the	DT
hintze-artificial-2020	23	13	field	field	NN
hintze-artificial-2020	23	14	of	of	IN
hintze-artificial-2020	23	15	machine	machine	NN
hintze-artificial-2020	23	16	learning	learning	NN
hintze-artificial-2020	23	17	and	and	CC
hintze-artificial-2020	23	18	artificial	artificial	JJ
hintze-artificial-2020	23	19	intelligence	intelligence	NN
hintze-artificial-2020	23	20	.	.	.
hintze-artificial-2020	24	1	The	the	DT
hintze-artificial-2020	24	2	automotive	automotive	JJ
hintze-artificial-2020	24	3	industry	industry	NN
hintze-artificial-2020	24	4	is	be	VBZ
hintze-artificial-2020	24	5	on	on	IN
hintze-artificial-2020	24	6	the	the	DT
hintze-artificial-2020	24	7	cusp	cusp	NN
hintze-artificial-2020	24	8	of	of	IN
hintze-artificial-2020	24	9	fully	fully	RB
hintze-artificial-2020	24	10	self	self	NN
hintze-artificial-2020	24	11	-	-	HYPH
hintze-artificial-2020	24	12	driving	drive	VBG
hintze-artificial-2020	24	13	cars	car	NNS
hintze-artificial-2020	24	14	.	.	.
hintze-artificial-2020	25	1	Electronic	electronic	JJ
hintze-artificial-2020	25	2	assistants	assistant	NNS
hintze-artificial-2020	25	3	are	be	VBP
hintze-artificial-2020	25	4	not	not	RB
hintze-artificial-2020	25	5	only	only	RB
hintze-artificial-2020	25	6	keeping	keep	VBG
hintze-artificial-2020	25	7	track	track	NN
hintze-artificial-2020	25	8	of	of	IN
hintze-artificial-2020	25	9	our	-PRON-	PRP$
hintze-artificial-2020	25	10	dates	date	NNS
hintze-artificial-2020	25	11	and	and	CC
hintze-artificial-2020	25	12	responding	respond	VBG
hintze-artificial-2020	25	13	to	to	IN
hintze-artificial-2020	25	14	spoken	spoken	JJ
hintze-artificial-2020	25	15	language	language	NN
hintze-artificial-2020	25	16	,	,	,
hintze-artificial-2020	25	17	they	-PRON-	PRP
hintze-artificial-2020	25	18	will	will	MD
hintze-artificial-2020	25	19	also	also	RB
hintze-artificial-2020	25	20	soon	soon	RB
hintze-artificial-2020	25	21	start	start	VB
hintze-artificial-2020	25	22	making	make	VBG
hintze-artificial-2020	25	23	our	-PRON-	PRP$
hintze-artificial-2020	25	24	appointments	appointment	NNS
hintze-artificial-2020	25	25	by	by	IN
hintze-artificial-2020	25	26	speaking	speak	VBG
hintze-artificial-2020	25	27	to	to	IN
hintze-artificial-2020	25	28	other	other	JJ
hintze-artificial-2020	25	29	humans	human	NNS
hintze-artificial-2020	25	30	on	on	IN
hintze-artificial-2020	25	31	our	-PRON-	PRP$
hintze-artificial-2020	25	32	behalf	behalf	NN
hintze-artificial-2020	25	33	.	.	.
hintze-artificial-2020	26	1	Databases	database	NNS
hintze-artificial-2020	26	2	are	be	VBP
hintze-artificial-2020	26	3	getting	get	VBG
hintze-artificial-2020	26	4	new	new	JJ
hintze-artificial-2020	26	5	voice	voice	NN
hintze-artificial-2020	26	6	-	-	HYPH
hintze-artificial-2020	26	7	controlled	control	VBN
hintze-artificial-2020	26	8	intuitive	intuitive	JJ
hintze-artificial-2020	26	9	interfaces	interface	NNS
hintze-artificial-2020	26	10	,	,	,
hintze-artificial-2020	26	11	changing	change	VBG
hintze-artificial-2020	26	12	a	a	DT
hintze-artificial-2020	26	13	typical	typical	JJ
hintze-artificial-2020	26	14	incomprehensible	incomprehensible	JJ
hintze-artificial-2020	26	15	“	"	``
hintze-artificial-2020	26	16	SELECT	SELECT	NNP
hintze-artificial-2020	26	17	AVG(salary	avg(salary	NN
hintze-artificial-2020	26	18	)	)	-RRB-
hintze-artificial-2020	26	19	FROM	from	IN
hintze-artificial-2020	26	20	employeeList	employeelist	NN
hintze-artificial-2020	26	21	WHERE	where	WRB
hintze-artificial-2020	26	22	yearHired	yearhire	VBN
hintze-artificial-2020	26	23	>	>	XX
hintze-artificial-2020	26	24	2012	2012	CD
hintze-artificial-2020	26	25	;	;	:
hintze-artificial-2020	26	26	”	"	``
hintze-artificial-2020	26	27	to	to	IN
hintze-artificial-2020	26	28	a	a	DT
hintze-artificial-2020	26	29	spoken	spoken	JJ
hintze-artificial-2020	26	30	“	"	``
hintze-artificial-2020	26	31	Average	average	JJ
hintze-artificial-2020	26	32	salary	salary	NN
hintze-artificial-2020	26	33	of	of	IN
hintze-artificial-2020	26	34	our	-PRON-	PRP$
hintze-artificial-2020	26	35	employees	employee	NNS
hintze-artificial-2020	26	36	hired	hire	VBN
hintze-artificial-2020	26	37	after	after	IN
hintze-artificial-2020	26	38	2012	2012	CD
hintze-artificial-2020	26	39	?	?	.
hintze-artificial-2020	26	40	”	"	''
hintze-artificial-2020	26	41	Another	another	DT
hintze-artificial-2020	26	42	phenomenon	phenomenon	NN
hintze-artificial-2020	26	43	is	be	VBZ
hintze-artificial-2020	26	44	the	the	DT
hintze-artificial-2020	26	45	trend	trend	NN
hintze-artificial-2020	26	46	in	in	IN
hintze-artificial-2020	26	47	many	many	JJ
hintze-artificial-2020	26	48	disciplines	discipline	NNS
hintze-artificial-2020	26	49	to	to	TO
hintze-artificial-2020	26	50	go	go	VB
hintze-artificial-2020	26	51	from	from	IN
hintze-artificial-2020	26	52	“	"	``
hintze-artificial-2020	26	53	qualitative	qualitative	JJ
hintze-artificial-2020	26	54	”	"	''
hintze-artificial-2020	26	55	to	to	IN
hintze-artificial-2020	26	56	“	"	``
hintze-artificial-2020	26	57	quantitative	quantitative	JJ
hintze-artificial-2020	26	58	”	"	''
hintze-artificial-2020	26	59	research	research	NN
hintze-artificial-2020	26	60	,	,	,
hintze-artificial-2020	26	61	or	or	CC
hintze-artificial-2020	26	62	to	to	TO
hintze-artificial-2020	26	63	think	think	VB
hintze-artificial-2020	26	64	about	about	IN
hintze-artificial-2020	26	65	the	the	DT
hintze-artificial-2020	26	66	“	"	``
hintze-artificial-2020	26	67	system	system	NN
hintze-artificial-2020	26	68	”	"	''
hintze-artificial-2020	26	69	rather	rather	RB
hintze-artificial-2020	26	70	than	than	IN
hintze-artificial-2020	26	71	the	the	DT
hintze-artificial-2020	26	72	“	"	``
hintze-artificial-2020	26	73	components	component	NNS
hintze-artificial-2020	26	74	.	.	.
hintze-artificial-2020	26	75	”	"	''
hintze-artificial-2020	26	76	The	the	DT
hintze-artificial-2020	26	77	field	field	NN
hintze-artificial-2020	26	78	that	that	WDT
hintze-artificial-2020	26	79	probably	probably	RB
hintze-artificial-2020	26	80	experienced	experience	VBD
hintze-artificial-2020	26	81	this	this	DT
hintze-artificial-2020	26	82	trend	trend	NN
hintze-artificial-2020	26	83	first	first	RB
hintze-artificial-2020	26	84	was	be	VBD
hintze-artificial-2020	26	85	biology	biology	NN
hintze-artificial-2020	26	86	.	.	.
hintze-artificial-2020	27	1	While	while	IN
hintze-artificial-2020	27	2	obviously	obviously	RB
hintze-artificial-2020	27	3	descriptive	descriptive	JJ
hintze-artificial-2020	27	4	about	about	IN
hintze-artificial-2020	27	5	species	specie	NNS
hintze-artificial-2020	27	6	of	of	IN
hintze-artificial-2020	27	7	organisms	organism	NNS
hintze-artificial-2020	27	8	,	,	,
hintze-artificial-2020	27	9	biologists	biologist	NNS
hintze-artificial-2020	27	10	also	also	RB
hintze-artificial-2020	27	11	always	always	RB
hintze-artificial-2020	27	12	wanted	want	VBD
hintze-artificial-2020	27	13	to	to	TO
hintze-artificial-2020	27	14	understand	understand	VB
hintze-artificial-2020	27	15	the	the	DT
hintze-artificial-2020	27	16	mechanisms	mechanism	NNS
hintze-artificial-2020	27	17	that	that	WDT
hintze-artificial-2020	27	18	drive	drive	VBP
hintze-artificial-2020	27	19	life	life	NN
hintze-artificial-2020	27	20	on	on	IN
hintze-artificial-2020	27	21	earth	earth	NN
hintze-artificial-2020	27	22	spanning	span	VBG
hintze-artificial-2020	27	23	micro	micro	NNP
hintze-artificial-2020	27	24	to	to	IN
hintze-artificial-2020	27	25	macro	macro	JJ
hintze-artificial-2020	27	26	scales	scale	NNS
hintze-artificial-2020	27	27	.	.	.
hintze-artificial-2020	28	1	Consequently	consequently	RB
hintze-artificial-2020	28	2	,	,	,
hintze-artificial-2020	28	3	a	a	DT
hintze-artificial-2020	28	4	lot	lot	NN
hintze-artificial-2020	28	5	is	be	VBZ
hintze-artificial-2020	28	6	known	know	VBN
hintze-artificial-2020	28	7	about	about	IN
hintze-artificial-2020	28	8	the	the	DT
hintze-artificial-2020	28	9	individual	individual	JJ
hintze-artificial-2020	28	10	chemical	chemical	NN
hintze-artificial-2020	28	11	components	component	NNS
hintze-artificial-2020	28	12	that	that	WDT
hintze-artificial-2020	28	13	constitute	constitute	VBP
hintze-artificial-2020	28	14	our	-PRON-	PRP$
hintze-artificial-2020	28	15	metabolism	metabolism	NN
hintze-artificial-2020	28	16	,	,	,
hintze-artificial-2020	28	17	the	the	DT
hintze-artificial-2020	28	18	components	component	NNS
hintze-artificial-2020	28	19	that	that	WDT
hintze-artificial-2020	28	20	drive	drive	VBP
hintze-artificial-2020	28	21	cell	cell	NN
hintze-artificial-2020	28	22	division	division	NN
hintze-artificial-2020	28	23	and	and	CC
hintze-artificial-2020	28	24	DNA	dna	NN
hintze-artificial-2020	28	25	replication	replication	NN
hintze-artificial-2020	28	26	,	,	,
hintze-artificial-2020	28	27	and	and	CC
hintze-artificial-2020	28	28	which	which	WDT
hintze-artificial-2020	28	29	genes	gene	NNS
hintze-artificial-2020	28	30	are	be	VBP
hintze-artificial-2020	28	31	involved	involve	VBN
hintze-artificial-2020	28	32	in	in	IN
hintze-artificial-2020	28	33	,	,	,
hintze-artificial-2020	28	34	for	for	IN
hintze-artificial-2020	28	35	example	example	NN
hintze-artificial-2020	28	36	,	,	,
hintze-artificial-2020	28	37	developmental	developmental	JJ
hintze-artificial-2020	28	38	processes	process	NNS
hintze-artificial-2020	28	39	.	.	.
hintze-artificial-2020	29	1	However	however	RB
hintze-artificial-2020	29	2	,	,	,
hintze-artificial-2020	29	3	in	in	IN
hintze-artificial-2020	29	4	many	many	JJ
hintze-artificial-2020	29	5	cases	case	NNS
hintze-artificial-2020	29	6	,	,	,
hintze-artificial-2020	29	7	our	-PRON-	PRP$
hintze-artificial-2020	29	8	scientific	scientific	JJ
hintze-artificial-2020	29	9	knowledge	knowledge	NN
hintze-artificial-2020	29	10	only	only	RB
hintze-artificial-2020	29	11	covers	cover	VBZ
hintze-artificial-2020	29	12	single	single	JJ
hintze-artificial-2020	29	13	functions	function	NNS
hintze-artificial-2020	29	14	of	of	IN
hintze-artificial-2020	29	15	single	single	JJ
hintze-artificial-2020	29	16	components	component	NNS
hintze-artificial-2020	29	17	.	.	.
hintze-artificial-2020	30	1	In	in	IN
hintze-artificial-2020	30	2	the	the	DT
hintze-artificial-2020	30	3	context	context	NN
hintze-artificial-2020	30	4	of	of	IN
hintze-artificial-2020	30	5	the	the	DT
hintze-artificial-2020	30	6	cell	cell	NN
hintze-artificial-2020	30	7	,	,	,
hintze-artificial-2020	30	8	the	the	DT
hintze-artificial-2020	30	9	state	state	NN
hintze-artificial-2020	30	10	of	of	IN
hintze-artificial-2020	30	11	the	the	DT
hintze-artificial-2020	30	12	organism	organism	NN
hintze-artificial-2020	30	13	and	and	CC
hintze-artificial-2020	30	14	how	how	WRB
hintze-artificial-2020	30	15	other	other	JJ
hintze-artificial-2020	30	16	components	component	NNS
hintze-artificial-2020	30	17	interact	interact	VBP
hintze-artificial-2020	30	18	matters	matter	VBZ
hintze-artificial-2020	30	19	a	a	DT
hintze-artificial-2020	30	20	lot	lot	NN
hintze-artificial-2020	30	21	.	.	.
hintze-artificial-2020	31	1	Cancer	cancer	NN
hintze-artificial-2020	31	2	,	,	,
hintze-artificial-2020	31	3	for	for	IN
hintze-artificial-2020	31	4	example	example	NN
hintze-artificial-2020	31	5	,	,	,
hintze-artificial-2020	31	6	can	can	MD
hintze-artificial-2020	31	7	not	not	RB
hintze-artificial-2020	31	8	be	be	VB
hintze-artificial-2020	31	9	explained	explain	VBN
hintze-artificial-2020	31	10	by	by	IN
hintze-artificial-2020	31	11	a	a	DT
hintze-artificial-2020	31	12	single	single	JJ
hintze-artificial-2020	31	13	mutation	mutation	NN
hintze-artificial-2020	31	14	on	on	IN
hintze-artificial-2020	31	15	a	a	DT
hintze-artificial-2020	31	16	single	single	JJ
hintze-artificial-2020	31	17	gene	gene	NN
hintze-artificial-2020	31	18	but	but	CC
hintze-artificial-2020	31	19	involves	involve	VBZ
hintze-artificial-2020	31	20	many	many	JJ
hintze-artificial-2020	31	21	complex	complex	JJ
hintze-artificial-2020	31	22	interactions	interaction	NNS
hintze-artificial-2020	31	23	(	(	-LRB-
hintze-artificial-2020	31	24	Hanahan	Hanahan	NNP
hintze-artificial-2020	31	25	and	and	CC
hintze-artificial-2020	31	26	Weinberg	Weinberg	NNP
hintze-artificial-2020	31	27	2011	2011	CD
hintze-artificial-2020	31	28	)	)	-RRB-
hintze-artificial-2020	31	29	.	.	.
hintze-artificial-2020	32	1	Ecosystems	ecosystem	NNS
hintze-artificial-2020	32	2	do	do	VBP
hintze-artificial-2020	32	3	n’t	not	RB
hintze-artificial-2020	32	4	collapse	collapse	VB
hintze-artificial-2020	32	5	because	because	IN
hintze-artificial-2020	32	6	a	a	DT
hintze-artificial-2020	32	7	single	single	JJ
hintze-artificial-2020	32	8	insect	insect	NN
hintze-artificial-2020	32	9	dies	die	VBZ
hintze-artificial-2020	32	10	,	,	,
hintze-artificial-2020	32	11	but	but	CC
hintze-artificial-2020	32	12	because	because	IN
hintze-artificial-2020	32	13	indirect	indirect	JJ
hintze-artificial-2020	32	14	changes	change	NNS
hintze-artificial-2020	32	15	in	in	IN
hintze-artificial-2020	32	16	the	the	DT
hintze-artificial-2020	32	17	food	food	NN
hintze-artificial-2020	32	18	chain	chain	NN
hintze-artificial-2020	32	19	interact	interact	VB
hintze-artificial-2020	32	20	in	in	IN
hintze-artificial-2020	32	21	complex	complex	JJ
hintze-artificial-2020	32	22	ways	way	NNS
hintze-artificial-2020	32	23	(	(	-LRB-
hintze-artificial-2020	32	24	for	for	IN
hintze-artificial-2020	32	25	a	a	DT
hintze-artificial-2020	32	26	review	review	NN
hintze-artificial-2020	32	27	of	of	IN
hintze-artificial-2020	32	28	the	the	DT
hintze-artificial-2020	32	29	different	different	JJ
hintze-artificial-2020	32	30	theories	theory	NNS
hintze-artificial-2020	32	31	,	,	,
hintze-artificial-2020	32	32	see	see	VB
hintze-artificial-2020	32	33	Tilman	Tilman	NNP
hintze-artificial-2020	32	34	1996	1996	CD
hintze-artificial-2020	32	35	)	)	-RRB-
hintze-artificial-2020	32	36	.	.	.
hintze-artificial-2020	33	1	As	as	IN
hintze-artificial-2020	33	2	a	a	DT
hintze-artificial-2020	33	3	result	result	NN
hintze-artificial-2020	33	4	,	,	,
hintze-artificial-2020	33	5	systems	system	NNS
hintze-artificial-2020	33	6	biology	biology	NN
hintze-artificial-2020	33	7	emerged	emerge	VBD
hintze-artificial-2020	33	8	.	.	.
hintze-artificial-2020	34	1	Systems	system	NNS
hintze-artificial-2020	34	2	biologists	biologist	NNS
hintze-artificial-2020	34	3	use	use	VBP
hintze-artificial-2020	34	4	large	large	JJ
hintze-artificial-2020	34	5	data	data	NN
hintze-artificial-2020	34	6	sets	set	NNS
hintze-artificial-2020	34	7	and	and	CC
hintze-artificial-2020	34	8	are	be	VBP
hintze-artificial-2020	34	9	often	often	RB
hintze-artificial-2020	34	10	dependent	dependent	JJ
hintze-artificial-2020	34	11	on	on	IN
hintze-artificial-2020	34	12	computer	computer	NN
hintze-artificial-2020	34	13	models	model	NNS
hintze-artificial-2020	34	14	to	to	TO
hintze-artificial-2020	34	15	understand	understand	VB
hintze-artificial-2020	34	16	phenomena	phenomenon	NNS
hintze-artificial-2020	34	17	on	on	IN
hintze-artificial-2020	34	18	the	the	DT
hintze-artificial-2020	34	19	systems	system	NNS
hintze-artificial-2020	34	20	level	level	NN
hintze-artificial-2020	34	21	.	.	.
hintze-artificial-2020	35	1	The	the	DT
hintze-artificial-2020	35	2	field	field	NN
hintze-artificial-2020	35	3	of	of	IN
hintze-artificial-2020	35	4	Bioinformatics	Bioinformatics	NNP
hintze-artificial-2020	35	5	is	be	VBZ
hintze-artificial-2020	35	6	one	one	CD
hintze-artificial-2020	35	7	such	such	JJ
hintze-artificial-2020	35	8	example	example	NN
hintze-artificial-2020	35	9	of	of	IN
hintze-artificial-2020	35	10	an	an	DT
hintze-artificial-2020	35	11	entire	entire	JJ
hintze-artificial-2020	35	12	field	field	NN
hintze-artificial-2020	35	13	that	that	WDT
hintze-artificial-2020	35	14	emerged	emerge	VBD
hintze-artificial-2020	35	15	as	as	IN
hintze-artificial-2020	35	16	a	a	DT
hintze-artificial-2020	35	17	result	result	NN
hintze-artificial-2020	35	18	of	of	IN
hintze-artificial-2020	35	19	using	use	VBG
hintze-artificial-2020	35	20	computers	computer	NNS
hintze-artificial-2020	35	21	to	to	TO
hintze-artificial-2020	35	22	study	study	VB
hintze-artificial-2020	35	23	entire	entire	JJ
hintze-artificial-2020	35	24	systems	system	NNS
hintze-artificial-2020	35	25	that	that	WDT
hintze-artificial-2020	35	26	were	be	VBD
hintze-artificial-2020	35	27	otherwise	otherwise	RB
hintze-artificial-2020	35	28	humanly	humanly	RB
hintze-artificial-2020	35	29	intractable	intractable	JJ
hintze-artificial-2020	35	30	.	.	.
hintze-artificial-2020	36	1	The	the	DT
hintze-artificial-2020	36	2	human	human	JJ
hintze-artificial-2020	36	3	genome	genome	JJ
hintze-artificial-2020	36	4	project	project	NN
hintze-artificial-2020	36	5	to	to	TO
hintze-artificial-2020	36	6	sequence	sequence	VB
hintze-artificial-2020	36	7	the	the	DT
hintze-artificial-2020	36	8	complete	complete	JJ
hintze-artificial-2020	36	9	human	human	NN
hintze-artificial-2020	36	10	genome	genome	NN
hintze-artificial-2020	36	11	finished	finish	VBN
hintze-artificial-2020	36	12	in	in	IN
hintze-artificial-2020	36	13	2003	2003	CD
hintze-artificial-2020	36	14	,	,	,
hintze-artificial-2020	36	15	a	a	DT
hintze-artificial-2020	36	16	time	time	NN
hintze-artificial-2020	36	17	when	when	WRB
hintze-artificial-2020	36	18	our	-PRON-	PRP$
hintze-artificial-2020	36	19	consumer	consumer	NN
hintze-artificial-2020	36	20	data	datum	NNS
hintze-artificial-2020	36	21	storage	storage	NN
hintze-artificial-2020	36	22	was	be	VBD
hintze-artificial-2020	36	23	limited	limit	VBN
hintze-artificial-2020	36	24	by	by	IN
hintze-artificial-2020	36	25	the	the	DT
hintze-artificial-2020	36	26	amount	amount	NN
hintze-artificial-2020	36	27	of	of	IN
hintze-artificial-2020	36	28	data	datum	NNS
hintze-artificial-2020	36	29	that	that	WDT
hintze-artificial-2020	36	30	fit	fit	VBP
hintze-artificial-2020	36	31	on	on	IN
hintze-artificial-2020	36	32	a	a	DT
hintze-artificial-2020	36	33	DVD	dvd	NN
hintze-artificial-2020	36	34	(	(	-LRB-
hintze-artificial-2020	36	35	4.9	4.9	CD
hintze-artificial-2020	36	36	GB	GB	NNP
hintze-artificial-2020	36	37	)	)	-RRB-
hintze-artificial-2020	36	38	.	.	.
hintze-artificial-2020	37	1	While	while	IN
hintze-artificial-2020	37	2	the	the	DT
hintze-artificial-2020	37	3	human	human	JJ
hintze-artificial-2020	37	4	genome	genome	NN
hintze-artificial-2020	37	5	fits	fit	VBZ
hintze-artificial-2020	37	6	on	on	IN
hintze-artificial-2020	37	7	a	a	DT
hintze-artificial-2020	37	8	DVD	dvd	NN
hintze-artificial-2020	37	9	,	,	,
hintze-artificial-2020	37	10	the	the	DT
hintze-artificial-2020	37	11	data	datum	NNS
hintze-artificial-2020	37	12	that	that	WDT
hintze-artificial-2020	37	13	came	come	VBD
hintze-artificial-2020	37	14	from	from	IN
hintze-artificial-2020	37	15	the	the	DT
hintze-artificial-2020	37	16	sequencing	sequencing	NN
hintze-artificial-2020	37	17	machines	machine	NNS
hintze-artificial-2020	37	18	was	be	VBD
hintze-artificial-2020	37	19	much	much	RB
hintze-artificial-2020	37	20	larger	large	JJR
hintze-artificial-2020	37	21	.	.	.
hintze-artificial-2020	38	1	Short	short	JJ
hintze-artificial-2020	38	2	repetitive	repetitive	JJ
hintze-artificial-2020	38	3	sequences	sequence	NNS
hintze-artificial-2020	38	4	first	first	RB
hintze-artificial-2020	38	5	needed	need	VBD
hintze-artificial-2020	38	6	assembly	assembly	NN
hintze-artificial-2020	38	7	,	,	,
hintze-artificial-2020	38	8	which	which	WDT
hintze-artificial-2020	38	9	at	at	IN
hintze-artificial-2020	38	10	that	that	DT
hintze-artificial-2020	38	11	time	time	NN
hintze-artificial-2020	38	12	was	be	VBD
hintze-artificial-2020	38	13	a	a	DT
hintze-artificial-2020	38	14	high	high	JJ
hintze-artificial-2020	38	15	-	-	HYPH
hintze-artificial-2020	38	16	performance	performance	NN
hintze-artificial-2020	38	17	computing	computing	NN
hintze-artificial-2020	38	18	task	task	NN
hintze-artificial-2020	38	19	.	.	.
hintze-artificial-2020	39	1	Other	other	JJ
hintze-artificial-2020	39	2	fields	field	NNS
hintze-artificial-2020	39	3	have	have	VBP
hintze-artificial-2020	39	4	since	since	IN
hintze-artificial-2020	39	5	undergone	undergo	VBN
hintze-artificial-2020	39	6	their	-PRON-	PRP$
hintze-artificial-2020	39	7	own	own	JJ
hintze-artificial-2020	39	8	computational	computational	JJ
hintze-artificial-2020	39	9	revolutions	revolution	NNS
hintze-artificial-2020	39	10	,	,	,
hintze-artificial-2020	39	11	and	and	CC
hintze-artificial-2020	39	12	now	now	RB
hintze-artificial-2020	39	13	the	the	DT
hintze-artificial-2020	39	14	humanities	humanity	NNS
hintze-artificial-2020	39	15	begin	begin	VBP
hintze-artificial-2020	39	16	their	-PRON-	PRP$
hintze-artificial-2020	39	17	computational	computational	JJ
hintze-artificial-2020	39	18	revolution	revolution	NN
hintze-artificial-2020	39	19	.	.	.
hintze-artificial-2020	40	1	Computers	computer	NNS
hintze-artificial-2020	40	2	have	have	VBP
hintze-artificial-2020	40	3	been	be	VBN
hintze-artificial-2020	40	4	a	a	DT
hintze-artificial-2020	40	5	part	part	NN
hintze-artificial-2020	40	6	of	of	IN
hintze-artificial-2020	40	7	core	core	JJ
hintze-artificial-2020	40	8	library	library	NN
hintze-artificial-2020	40	9	infrastructure	infrastructure	NN
hintze-artificial-2020	40	10	and	and	CC
hintze-artificial-2020	40	11	experience	experience	NN
hintze-artificial-2020	40	12	for	for	IN
hintze-artificial-2020	40	13	some	some	DT
hintze-artificial-2020	40	14	time	time	NN
hintze-artificial-2020	40	15	now	now	RB
hintze-artificial-2020	40	16	,	,	,
hintze-artificial-2020	40	17	by	by	IN
hintze-artificial-2020	40	18	cataloging	catalog	VBG
hintze-artificial-2020	40	19	entries	entry	NNS
hintze-artificial-2020	40	20	in	in	IN
hintze-artificial-2020	40	21	a	a	DT
hintze-artificial-2020	40	22	database	database	NN
hintze-artificial-2020	40	23	and	and	CC
hintze-artificial-2020	40	24	allowing	allow	VBG
hintze-artificial-2020	40	25	intuitive	intuitive	JJ
hintze-artificial-2020	40	26	user	user	NN
hintze-artificial-2020	40	27	exploration	exploration	NN
hintze-artificial-2020	40	28	of	of	IN
hintze-artificial-2020	40	29	that	that	DT
hintze-artificial-2020	40	30	database	database	NN
hintze-artificial-2020	40	31	.	.	.
hintze-artificial-2020	41	1	However	however	RB
hintze-artificial-2020	41	2	,	,	,
hintze-artificial-2020	41	3	the	the	DT
hintze-artificial-2020	41	4	digital	digital	JJ
hintze-artificial-2020	41	5	humanities	humanity	NNS
hintze-artificial-2020	41	6	go	go	VBP
hintze-artificial-2020	41	7	beyond	beyond	IN
hintze-artificial-2020	41	8	this	this	DT
hintze-artificial-2020	41	9	(	(	-LRB-
hintze-artificial-2020	41	10	Fitzpatrick	Fitzpatrick	NNP
hintze-artificial-2020	41	11	2012	2012	CD
hintze-artificial-2020	41	12	)	)	-RRB-
hintze-artificial-2020	41	13	.	.	.
hintze-artificial-2020	42	1	The	the	DT
hintze-artificial-2020	42	2	ability	ability	NN
hintze-artificial-2020	42	3	to	to	TO
hintze-artificial-2020	42	4	analyze	analyze	VB
hintze-artificial-2020	42	5	(	(	-LRB-
hintze-artificial-2020	42	6	crawl	crawl	NN
hintze-artificial-2020	42	7	)	)	-RRB-
hintze-artificial-2020	42	8	extremely	extremely	RB
hintze-artificial-2020	42	9	large	large	JJ
hintze-artificial-2020	42	10	corpora	corpora	NN
hintze-artificial-2020	42	11	of	of	IN
hintze-artificial-2020	42	12	different	different	JJ
hintze-artificial-2020	42	13	sources	source	NNS
hintze-artificial-2020	42	14	,	,	,
hintze-artificial-2020	42	15	monitor	monitor	VBP
hintze-artificial-2020	42	16	the	the	DT
hintze-artificial-2020	42	17	internet	internet	NN
hintze-artificial-2020	42	18	using	use	VBG
hintze-artificial-2020	42	19	the	the	DT
hintze-artificial-2020	42	20	Internet	internet	NN
hintze-artificial-2020	42	21	of	of	IN
hintze-artificial-2020	42	22	Things	thing	NNS
hintze-artificial-2020	42	23	as	as	IN
hintze-artificial-2020	42	24	large	large	JJ
hintze-artificial-2020	42	25	sensor	sensor	NN
hintze-artificial-2020	42	26	arrays	array	NNS
hintze-artificial-2020	42	27	,	,	,
hintze-artificial-2020	42	28	and	and	CC
hintze-artificial-2020	42	29	detect	detect	VB
hintze-artificial-2020	42	30	patterns	pattern	NNS
hintze-artificial-2020	42	31	by	by	IN
hintze-artificial-2020	42	32	using	use	VBG
hintze-artificial-2020	42	33	sophisticated	sophisticated	JJ
hintze-artificial-2020	42	34	algorithms	algorithm	NNS
hintze-artificial-2020	42	35	can	can	MD
hintze-artificial-2020	42	36	each	each	DT
hintze-artificial-2020	42	37	produce	produce	VB
hintze-artificial-2020	42	38	a	a	DT
hintze-artificial-2020	42	39	treasure	treasure	NN
hintze-artificial-2020	42	40	trove	trove	NN
hintze-artificial-2020	42	41	of	of	IN
hintze-artificial-2020	42	42	quantitative	quantitative	JJ
hintze-artificial-2020	42	43	data	datum	NNS
hintze-artificial-2020	42	44	.	.	.
hintze-artificial-2020	43	1	Until	until	IN
hintze-artificial-2020	43	2	this	this	DT
hintze-artificial-2020	43	3	point	point	NN
hintze-artificial-2020	43	4	these	these	DT
hintze-artificial-2020	43	5	tasks	task	NNS
hintze-artificial-2020	43	6	could	could	MD
hintze-artificial-2020	43	7	only	only	RB
hintze-artificial-2020	43	8	be	be	VB
hintze-artificial-2020	43	9	described	describe	VBN
hintze-artificial-2020	43	10	or	or	CC
hintze-artificial-2020	43	11	analyzed	analyze	VBN
hintze-artificial-2020	43	12	qualitatively	qualitatively	RB
hintze-artificial-2020	43	13	.	.	.
hintze-artificial-2020	44	1	Additionally	additionally	RB
hintze-artificial-2020	44	2	,	,	,
hintze-artificial-2020	44	3	artificial	artificial	JJ
hintze-artificial-2020	44	4	intelligence	intelligence	NN
hintze-artificial-2020	44	5	promises	promise	NNS
hintze-artificial-2020	44	6	models	model	NNS
hintze-artificial-2020	44	7	of	of	IN
hintze-artificial-2020	44	8	the	the	DT
hintze-artificial-2020	44	9	human	human	JJ
hintze-artificial-2020	44	10	mind	mind	NN
hintze-artificial-2020	44	11	(	(	-LRB-
hintze-artificial-2020	44	12	Yampolskiy	Yampolskiy	NNP
hintze-artificial-2020	44	13	and	and	CC
hintze-artificial-2020	44	14	Fox	Fox	NNP
hintze-artificial-2020	44	15	2012	2012	CD
hintze-artificial-2020	44	16	)	)	-RRB-
hintze-artificial-2020	44	17	.	.	.
hintze-artificial-2020	45	1	Machine	machine	NN
hintze-artificial-2020	45	2	learning	learning	NN
hintze-artificial-2020	45	3	allows	allow	VBZ
hintze-artificial-2020	45	4	us	-PRON-	PRP
hintze-artificial-2020	45	5	to	to	TO
hintze-artificial-2020	45	6	learn	learn	VB
hintze-artificial-2020	45	7	from	from	IN
hintze-artificial-2020	45	8	these	these	DT
hintze-artificial-2020	45	9	data	datum	NNS
hintze-artificial-2020	45	10	sets	set	NNS
hintze-artificial-2020	45	11	in	in	IN
hintze-artificial-2020	45	12	ways	way	NNS
hintze-artificial-2020	45	13	that	that	WDT
hintze-artificial-2020	45	14	exceed	exceed	VBP
hintze-artificial-2020	45	15	human	human	JJ
hintze-artificial-2020	45	16	capabilities	capability	NNS
hintze-artificial-2020	45	17	,	,	,
hintze-artificial-2020	45	18	while	while	IN
hintze-artificial-2020	45	19	an	an	DT
hintze-artificial-2020	45	20	artificial	artificial	JJ
hintze-artificial-2020	45	21	brain	brain	NN
hintze-artificial-2020	45	22	will	will	MD
hintze-artificial-2020	45	23	eventually	eventually	RB
hintze-artificial-2020	45	24	allow	allow	VB
hintze-artificial-2020	45	25	us	-PRON-	PRP
hintze-artificial-2020	45	26	to	to	TO
hintze-artificial-2020	45	27	objectively	objectively	RB
hintze-artificial-2020	45	28	describe	describe	VB
hintze-artificial-2020	45	29	a	a	DT
hintze-artificial-2020	45	30	subjective	subjective	JJ
hintze-artificial-2020	45	31	experience	experience	NN
hintze-artificial-2020	45	32	(	(	-LRB-
hintze-artificial-2020	45	33	through	through	IN
hintze-artificial-2020	45	34	quantifying	quantify	VBG
hintze-artificial-2020	45	35	neural	neural	JJ
hintze-artificial-2020	45	36	activations	activation	NNS
hintze-artificial-2020	45	37	or	or	CC
hintze-artificial-2020	45	38	positively	positively	RB
hintze-artificial-2020	45	39	and	and	CC
hintze-artificial-2020	45	40	negatively	negatively	RB
hintze-artificial-2020	45	41	associated	associate	VBN
hintze-artificial-2020	45	42	memories	memory	NNS
hintze-artificial-2020	45	43	)	)	-RRB-
hintze-artificial-2020	45	44	.	.	.
hintze-artificial-2020	46	1	This	this	DT
hintze-artificial-2020	46	2	would	would	MD
hintze-artificial-2020	46	3	ultimately	ultimately	RB
hintze-artificial-2020	46	4	close	close	VB
hintze-artificial-2020	46	5	the	the	DT
hintze-artificial-2020	46	6	gap	gap	NN
hintze-artificial-2020	46	7	between	between	IN
hintze-artificial-2020	46	8	quantitative	quantitative	JJ
hintze-artificial-2020	46	9	and	and	CC
hintze-artificial-2020	46	10	qualitative	qualitative	JJ
hintze-artificial-2020	46	11	approaches	approach	NNS
hintze-artificial-2020	46	12	by	by	IN
hintze-artificial-2020	46	13	allowing	allow	VBG
hintze-artificial-2020	46	14	an	an	DT
hintze-artificial-2020	46	15	inspection	inspection	NN
hintze-artificial-2020	46	16	of	of	IN
hintze-artificial-2020	46	17	experience	experience	NN
hintze-artificial-2020	46	18	.	.	.
hintze-artificial-2020	47	1	However	however	RB
hintze-artificial-2020	47	2	,	,	,
hintze-artificial-2020	47	3	this	this	DT
hintze-artificial-2020	47	4	bridging	bridging	NN
hintze-artificial-2020	47	5	between	between	IN
hintze-artificial-2020	47	6	quantitative	quantitative	JJ
hintze-artificial-2020	47	7	and	and	CC
hintze-artificial-2020	47	8	qualitative	qualitative	JJ
hintze-artificial-2020	47	9	methods	method	NNS
hintze-artificial-2020	47	10	causes	cause	VBZ
hintze-artificial-2020	47	11	a	a	DT
hintze-artificial-2020	47	12	possible	possible	JJ
hintze-artificial-2020	47	13	tension	tension	NN
hintze-artificial-2020	47	14	for	for	IN
hintze-artificial-2020	47	15	the	the	DT
hintze-artificial-2020	47	16	humanities	humanity	NNS
hintze-artificial-2020	47	17	,	,	,
hintze-artificial-2020	47	18	which	which	WDT
hintze-artificial-2020	47	19	historically	historically	RB
hintze-artificial-2020	47	20	defines	define	VBZ
hintze-artificial-2020	47	21	itself	-PRON-	PRP
hintze-artificial-2020	47	22	by	by	IN
hintze-artificial-2020	47	23	qualitative	qualitative	JJ
hintze-artificial-2020	47	24	methodologies	methodology	NNS
hintze-artificial-2020	47	25	.	.	.
hintze-artificial-2020	48	1	When	when	WRB
hintze-artificial-2020	48	2	qualitative	qualitative	JJ
hintze-artificial-2020	48	3	experiences	experience	NNS
hintze-artificial-2020	48	4	or	or	CC
hintze-artificial-2020	48	5	responses	response	NNS
hintze-artificial-2020	48	6	can	can	MD
hintze-artificial-2020	48	7	be	be	VB
hintze-artificial-2020	48	8	finely	finely	RB
hintze-artificial-2020	48	9	quantified	quantify	VBN
hintze-artificial-2020	48	10	,	,	,
hintze-artificial-2020	48	11	such	such	JJ
hintze-artificial-2020	48	12	as	as	IN
hintze-artificial-2020	48	13	sadness	sadness	NN
hintze-artificial-2020	48	14	caused	cause	VBN
hintze-artificial-2020	48	15	by	by	IN
hintze-artificial-2020	48	16	reading	read	VBG
hintze-artificial-2020	48	17	a	a	DT
hintze-artificial-2020	48	18	particular	particular	JJ
hintze-artificial-2020	48	19	passage	passage	NN
hintze-artificial-2020	48	20	,	,	,
hintze-artificial-2020	48	21	or	or	CC
hintze-artificial-2020	48	22	the	the	DT
hintze-artificial-2020	48	23	curiosity	curiosity	NN
hintze-artificial-2020	48	24	caused	cause	VBN
hintze-artificial-2020	48	25	by	by	IN
hintze-artificial-2020	48	26	viewing	view	VBG
hintze-artificial-2020	48	27	certain	certain	JJ
hintze-artificial-2020	48	28	works	work	NNS
hintze-artificial-2020	48	29	of	of	IN
hintze-artificial-2020	48	30	art	art	NN
hintze-artificial-2020	48	31	,	,	,
hintze-artificial-2020	48	32	then	then	RB
hintze-artificial-2020	48	33	the	the	DT
hintze-artificial-2020	48	34	field	field	NN
hintze-artificial-2020	48	35	will	will	MD
hintze-artificial-2020	48	36	undergo	undergo	VB
hintze-artificial-2020	48	37	a	a	DT
hintze-artificial-2020	48	38	revolution	revolution	NN
hintze-artificial-2020	48	39	.	.	.
hintze-artificial-2020	49	1	When	when	WRB
hintze-artificial-2020	49	2	this	this	DT
hintze-artificial-2020	49	3	happens	happen	VBZ
hintze-artificial-2020	49	4	,	,	,
hintze-artificial-2020	49	5	we	-PRON-	PRP
hintze-artificial-2020	49	6	will	will	MD
hintze-artificial-2020	49	7	be	be	VB
hintze-artificial-2020	49	8	able	able	JJ
hintze-artificial-2020	49	9	to	to	TO
hintze-artificial-2020	49	10	quantify	quantify	VB
hintze-artificial-2020	49	11	and	and	CC
hintze-artificial-2020	49	12	discuss	discuss	VB
hintze-artificial-2020	49	13	how	how	WRB
hintze-artificial-2020	49	14	sadness	sadness	NN
hintze-artificial-2020	49	15	was	be	VBD
hintze-artificial-2020	49	16	learned	learn	VBN
hintze-artificial-2020	49	17	by	by	IN
hintze-artificial-2020	49	18	reading	read	VBG
hintze-artificial-2020	49	19	,	,	,
hintze-artificial-2020	49	20	or	or	CC
hintze-artificial-2020	49	21	how	how	WRB
hintze-artificial-2020	49	22	much	much	JJ
hintze-artificial-2020	49	23	surprise	surprise	NN
hintze-artificial-2020	49	24	was	be	VBD
hintze-artificial-2020	49	25	generated	generate	VBN
hintze-artificial-2020	49	26	by	by	IN
hintze-artificial-2020	49	27	viewing	view	VBG
hintze-artificial-2020	49	28	an	an	DT
hintze-artificial-2020	49	29	artwork	artwork	NN
hintze-artificial-2020	49	30	.	.	.
hintze-artificial-2020	50	1	This	this	DT
hintze-artificial-2020	50	2	is	be	VBZ
hintze-artificial-2020	50	3	exactly	exactly	RB
hintze-artificial-2020	50	4	the	the	DT
hintze-artificial-2020	50	5	point	point	NN
hintze-artificial-2020	50	6	where	where	WRB
hintze-artificial-2020	50	7	the	the	DT
hintze-artificial-2020	50	8	metaphors	metaphor	NNS
hintze-artificial-2020	50	9	break	break	VBP
hintze-artificial-2020	50	10	down	down	RP
hintze-artificial-2020	50	11	.	.	.
hintze-artificial-2020	51	1	Current	current	JJ
hintze-artificial-2020	51	2	computational	computational	JJ
hintze-artificial-2020	51	3	models	model	NNS
hintze-artificial-2020	51	4	of	of	IN
hintze-artificial-2020	51	5	the	the	DT
hintze-artificial-2020	51	6	mind	mind	NN
hintze-artificial-2020	51	7	are	be	VBP
hintze-artificial-2020	51	8	not	not	RB
hintze-artificial-2020	51	9	sophisticated	sophisticated	JJ
hintze-artificial-2020	51	10	enough	enough	RB
hintze-artificial-2020	51	11	to	to	TO
hintze-artificial-2020	51	12	allow	allow	VB
hintze-artificial-2020	51	13	these	these	DT
hintze-artificial-2020	51	14	kinds	kind	NNS
hintze-artificial-2020	51	15	of	of	IN
hintze-artificial-2020	51	16	inferences	inference	NNS
hintze-artificial-2020	51	17	.	.	.
hintze-artificial-2020	52	1	Machine	machine	NN
hintze-artificial-2020	52	2	learning	learning	NN
hintze-artificial-2020	52	3	algorithms	algorithm	NNS
hintze-artificial-2020	52	4	work	work	VBP
hintze-artificial-2020	52	5	well	well	RB
hintze-artificial-2020	52	6	for	for	IN
hintze-artificial-2020	52	7	what	what	WP
hintze-artificial-2020	52	8	they	-PRON-	PRP
hintze-artificial-2020	52	9	do	do	VBP
hintze-artificial-2020	52	10	but	but	CC
hintze-artificial-2020	52	11	have	have	VB
hintze-artificial-2020	52	12	nothing	nothing	NN
hintze-artificial-2020	52	13	to	to	TO
hintze-artificial-2020	52	14	do	do	VB
hintze-artificial-2020	52	15	with	with	IN
hintze-artificial-2020	52	16	what	what	WP
hintze-artificial-2020	52	17	a	a	DT
hintze-artificial-2020	52	18	person	person	NN
hintze-artificial-2020	52	19	would	would	MD
hintze-artificial-2020	52	20	call	call	VB
hintze-artificial-2020	52	21	learning	learn	VBG
hintze-artificial-2020	52	22	.	.	.
hintze-artificial-2020	53	1	Artificial	artificial	JJ
hintze-artificial-2020	53	2	intelligence	intelligence	NN
hintze-artificial-2020	53	3	is	be	VBZ
hintze-artificial-2020	53	4	a	a	DT
hintze-artificial-2020	53	5	broad	broad	JJ
hintze-artificial-2020	53	6	encompassing	encompassing	JJ
hintze-artificial-2020	53	7	field	field	NN
hintze-artificial-2020	53	8	.	.	.
hintze-artificial-2020	54	1	It	-PRON-	PRP
hintze-artificial-2020	54	2	includes	include	VBZ
hintze-artificial-2020	54	3	methods	method	NNS
hintze-artificial-2020	54	4	that	that	WDT
hintze-artificial-2020	54	5	might	may	MD
hintze-artificial-2020	54	6	have	have	VB
hintze-artificial-2020	54	7	appeared	appear	VBN
hintze-artificial-2020	54	8	to	to	TO
hintze-artificial-2020	54	9	be	be	VB
hintze-artificial-2020	54	10	magic	magic	JJ
hintze-artificial-2020	54	11	only	only	RB
hintze-artificial-2020	54	12	a	a	DT
hintze-artificial-2020	54	13	couple	couple	NN
hintze-artificial-2020	54	14	of	of	IN
hintze-artificial-2020	54	15	years	year	NNS
hintze-artificial-2020	54	16	ago	ago	RB
hintze-artificial-2020	54	17	(	(	-LRB-
hintze-artificial-2020	54	18	such	such	JJ
hintze-artificial-2020	54	19	as	as	IN
hintze-artificial-2020	54	20	generative	generative	JJ
hintze-artificial-2020	54	21	adversarial	adversarial	JJ
hintze-artificial-2020	54	22	networks	network	NNS
hintze-artificial-2020	54	23	)	)	-RRB-
hintze-artificial-2020	54	24	.	.	.
hintze-artificial-2020	55	1	Algorithmic	algorithmic	JJ
hintze-artificial-2020	55	2	finesse	finesse	NN
hintze-artificial-2020	55	3	resulting	result	VBG
hintze-artificial-2020	55	4	from	from	IN
hintze-artificial-2020	55	5	these	these	DT
hintze-artificial-2020	55	6	advances	advance	NNS
hintze-artificial-2020	55	7	is	be	VBZ
hintze-artificial-2020	55	8	capable	capable	JJ
hintze-artificial-2020	55	9	of	of	IN
hintze-artificial-2020	55	10	beating	beat	VBG
hintze-artificial-2020	55	11	humans	human	NNS
hintze-artificial-2020	55	12	in	in	IN
hintze-artificial-2020	55	13	chess	chess	NN
hintze-artificial-2020	55	14	(	(	-LRB-
hintze-artificial-2020	55	15	Campbell	Campbell	NNP
hintze-artificial-2020	55	16	,	,	,
hintze-artificial-2020	55	17	Hoane	Hoane	NNP
hintze-artificial-2020	55	18	Jr	Jr	NNP
hintze-artificial-2020	55	19	,	,	,
hintze-artificial-2020	55	20	and	and	CC
hintze-artificial-2020	55	21	Hsu	Hsu	NNP
hintze-artificial-2020	55	22	2002	2002	CD
hintze-artificial-2020	55	23	)	)	-RRB-
hintze-artificial-2020	55	24	,	,	,
hintze-artificial-2020	55	25	but	but	CC
hintze-artificial-2020	55	26	it	-PRON-	PRP
hintze-artificial-2020	55	27	is	be	VBZ
hintze-artificial-2020	55	28	only	only	RB
hintze-artificial-2020	55	29	a	a	DT
hintze-artificial-2020	55	30	very	very	RB
hintze-artificial-2020	55	31	specialized	specialized	JJ
hintze-artificial-2020	55	32	algorithm	algorithm	NN
hintze-artificial-2020	55	33	that	that	WDT
hintze-artificial-2020	55	34	has	have	VBZ
hintze-artificial-2020	55	35	nothing	nothing	NN
hintze-artificial-2020	55	36	to	to	TO
hintze-artificial-2020	55	37	do	do	VB
hintze-artificial-2020	55	38	with	with	IN
hintze-artificial-2020	55	39	the	the	DT
hintze-artificial-2020	55	40	way	way	NN
hintze-artificial-2020	55	41	humans	human	NNS
hintze-artificial-2020	55	42	play	play	VBP
hintze-artificial-2020	55	43	or	or	CC
hintze-artificial-2020	55	44	learn	learn	VBP
hintze-artificial-2020	55	45	chess	chess	NN
hintze-artificial-2020	55	46	.	.	.
hintze-artificial-2020	56	1	This	this	DT
hintze-artificial-2020	56	2	means	mean	VBZ
hintze-artificial-2020	56	3	we	-PRON-	PRP
hintze-artificial-2020	56	4	are	be	VBP
hintze-artificial-2020	56	5	back	back	RB
hintze-artificial-2020	56	6	to	to	IN
hintze-artificial-2020	56	7	the	the	DT
hintze-artificial-2020	56	8	problem	problem	NN
hintze-artificial-2020	56	9	we	-PRON-	PRP
hintze-artificial-2020	56	10	had	have	VBD
hintze-artificial-2020	56	11	in	in	IN
hintze-artificial-2020	56	12	the	the	DT
hintze-artificial-2020	56	13	80s	80	NNS
hintze-artificial-2020	56	14	.	.	.
hintze-artificial-2020	57	1	Instead	instead	RB
hintze-artificial-2020	57	2	of	of	IN
hintze-artificial-2020	57	3	being	be	VBG
hintze-artificial-2020	57	4	disappointed	disappoint	VBN
hintze-artificial-2020	57	5	by	by	IN
hintze-artificial-2020	57	6	the	the	DT
hintze-artificial-2020	57	7	difference	difference	NN
hintze-artificial-2020	57	8	between	between	IN
hintze-artificial-2020	57	9	modern	modern	JJ
hintze-artificial-2020	57	10	technology	technology	NN
hintze-artificial-2020	57	11	and	and	CC
hintze-artificial-2020	57	12	Hollywood	Hollywood	NNP
hintze-artificial-2020	57	13	technology	technology	NN
hintze-artificial-2020	57	14	,	,	,
hintze-artificial-2020	57	15	we	-PRON-	PRP
hintze-artificial-2020	57	16	are	be	VBP
hintze-artificial-2020	57	17	disappointed	disappointed	JJ
hintze-artificial-2020	57	18	by	by	IN
hintze-artificial-2020	57	19	the	the	DT
hintze-artificial-2020	57	20	difference	difference	NN
hintze-artificial-2020	57	21	between	between	IN
hintze-artificial-2020	57	22	modern	modern	JJ
hintze-artificial-2020	57	23	technology	technology	NN
hintze-artificial-2020	57	24	and	and	CC
hintze-artificial-2020	57	25	the	the	DT
hintze-artificial-2020	57	26	experience	experience	NN
hintze-artificial-2020	57	27	implied	imply	VBN
hintze-artificial-2020	57	28	by	by	IN
hintze-artificial-2020	57	29	the	the	DT
hintze-artificial-2020	57	30	labels	label	NNS
hintze-artificial-2020	57	31	given	give	VBN
hintze-artificial-2020	57	32	to	to	IN
hintze-artificial-2020	57	33	those	those	DT
hintze-artificial-2020	57	34	technologies	technology	NNS
hintze-artificial-2020	57	35	.	.	.
hintze-artificial-2020	58	1	Applying	apply	VBG
hintze-artificial-2020	58	2	misnomer	misnomer	NN
hintze-artificial-2020	58	3	terminology	terminology	NN
hintze-artificial-2020	58	4	,	,	,
hintze-artificial-2020	58	5	such	such	JJ
hintze-artificial-2020	58	6	as	as	IN
hintze-artificial-2020	58	7	“	"	``
hintze-artificial-2020	58	8	smart	smart	JJ
hintze-artificial-2020	58	9	,	,	,
hintze-artificial-2020	58	10	”	"	''
hintze-artificial-2020	58	11	“	"	``
hintze-artificial-2020	58	12	intelligent	intelligent	JJ
hintze-artificial-2020	58	13	,	,	,
hintze-artificial-2020	58	14	”	"	''
hintze-artificial-2020	58	15	“	"	``
hintze-artificial-2020	58	16	search	search	NN
hintze-artificial-2020	58	17	,	,	,
hintze-artificial-2020	58	18	”	"	''
hintze-artificial-2020	58	19	and	and	CC
hintze-artificial-2020	58	20	“	"	``
hintze-artificial-2020	58	21	learning	learn	VBG
hintze-artificial-2020	58	22	”	"	''
hintze-artificial-2020	58	23	to	to	IN
hintze-artificial-2020	58	24	modern	modern	JJ
hintze-artificial-2020	58	25	technologies	technology	NNS
hintze-artificial-2020	58	26	that	that	WDT
hintze-artificial-2020	58	27	have	have	VBP
hintze-artificial-2020	58	28	little	little	JJ
hintze-artificial-2020	58	29	to	to	TO
hintze-artificial-2020	58	30	do	do	VB
hintze-artificial-2020	58	31	with	with	IN
hintze-artificial-2020	58	32	those	those	DT
hintze-artificial-2020	58	33	terms	term	NNS
hintze-artificial-2020	58	34	is	be	VBZ
hintze-artificial-2020	58	35	misleading	mislead	VBG
hintze-artificial-2020	58	36	.	.	.
hintze-artificial-2020	59	1	It	-PRON-	PRP
hintze-artificial-2020	59	2	is	be	VBZ
hintze-artificial-2020	59	3	possible	possible	JJ
hintze-artificial-2020	59	4	that	that	IN
hintze-artificial-2020	59	5	such	such	JJ
hintze-artificial-2020	59	6	technology	technology	NN
hintze-artificial-2020	59	7	was	be	VBD
hintze-artificial-2020	59	8	deliberately	deliberately	RB
hintze-artificial-2020	59	9	branded	brand	VBN
hintze-artificial-2020	59	10	with	with	IN
hintze-artificial-2020	59	11	these	these	DT
hintze-artificial-2020	59	12	terms	term	NNS
hintze-artificial-2020	59	13	for	for	IN
hintze-artificial-2020	59	14	the	the	DT
hintze-artificial-2020	59	15	improved	improve	VBN
hintze-artificial-2020	59	16	marketing	marketing	NN
hintze-artificial-2020	59	17	and	and	CC
hintze-artificial-2020	59	18	sales	sale	NNS
hintze-artificial-2020	59	19	,	,	,
hintze-artificial-2020	59	20	effectively	effectively	RB
hintze-artificial-2020	59	21	redefining	redefine	VBG
hintze-artificial-2020	59	22	them	-PRON-	PRP
hintze-artificial-2020	59	23	and	and	CC
hintze-artificial-2020	59	24	obscuring	obscure	VBG
hintze-artificial-2020	59	25	their	-PRON-	PRP$
hintze-artificial-2020	59	26	original	original	JJ
hintze-artificial-2020	59	27	meaning	meaning	NN
hintze-artificial-2020	59	28	.	.	.
hintze-artificial-2020	60	1	Consequently	consequently	RB
hintze-artificial-2020	60	2	,	,	,
hintze-artificial-2020	60	3	we	-PRON-	PRP
hintze-artificial-2020	60	4	again	again	RB
hintze-artificial-2020	60	5	are	be	VBP
hintze-artificial-2020	60	6	disappointed	disappoint	VBN
hintze-artificial-2020	60	7	by	by	IN
hintze-artificial-2020	60	8	the	the	DT
hintze-artificial-2020	60	9	mismatch	mismatch	NN
hintze-artificial-2020	60	10	of	of	IN
hintze-artificial-2020	60	11	the	the	DT
hintze-artificial-2020	60	12	expectations	expectation	NNS
hintze-artificial-2020	60	13	of	of	IN
hintze-artificial-2020	60	14	our	-PRON-	PRP$
hintze-artificial-2020	60	15	computing	compute	VBG
hintze-artificial-2020	60	16	infrastructure	infrastructure	NN
hintze-artificial-2020	60	17	and	and	CC
hintze-artificial-2020	60	18	the	the	DT
hintze-artificial-2020	60	19	reality	reality	NN
hintze-artificial-2020	60	20	of	of	IN
hintze-artificial-2020	60	21	our	-PRON-	PRP$
hintze-artificial-2020	60	22	experiences	experience	NNS
hintze-artificial-2020	60	23	.	.	.
hintze-artificial-2020	61	1	The	the	DT
hintze-artificial-2020	61	2	following	follow	VBG
hintze-artificial-2020	61	3	paragraphs	paragraph	NNS
hintze-artificial-2020	61	4	will	will	MD
hintze-artificial-2020	61	5	explore	explore	VB
hintze-artificial-2020	61	6	current	current	JJ
hintze-artificial-2020	61	7	Machine	Machine	NNP
hintze-artificial-2020	61	8	Learning	Learning	NNP
hintze-artificial-2020	61	9	and	and	CC
hintze-artificial-2020	61	10	Artificial	Artificial	NNP
hintze-artificial-2020	61	11	Intelligence	Intelligence	NNP
hintze-artificial-2020	61	12	technologies	technology	NNS
hintze-artificial-2020	61	13	,	,	,
hintze-artificial-2020	61	14	explain	explain	VB
hintze-artificial-2020	61	15	how	how	WRB
hintze-artificial-2020	61	16	quantitative	quantitative	JJ
hintze-artificial-2020	61	17	or	or	CC
hintze-artificial-2020	61	18	qualitative	qualitative	JJ
hintze-artificial-2020	61	19	they	-PRON-	PRP
hintze-artificial-2020	61	20	really	really	RB
hintze-artificial-2020	61	21	are	be	VBP
hintze-artificial-2020	61	22	,	,	,
hintze-artificial-2020	61	23	and	and	CC
hintze-artificial-2020	61	24	explore	explore	VB
hintze-artificial-2020	61	25	what	what	WP
hintze-artificial-2020	61	26	the	the	DT
hintze-artificial-2020	61	27	possible	possible	JJ
hintze-artificial-2020	61	28	implications	implication	NNS
hintze-artificial-2020	61	29	for	for	IN
hintze-artificial-2020	61	30	future	future	JJ
hintze-artificial-2020	61	31	Digital	Digital	NNP
hintze-artificial-2020	61	32	Humanities	Humanities	NNPS
hintze-artificial-2020	61	33	could	could	MD
hintze-artificial-2020	61	34	be	be	VB
hintze-artificial-2020	61	35	.	.	.
hintze-artificial-2020	62	1	Learning	learn	VBG
hintze-artificial-2020	62	2	:	:	:
hintze-artificial-2020	62	3	Phenomenon	phenomenon	NN
hintze-artificial-2020	62	4	versus	versus	IN
hintze-artificial-2020	62	5	Mechanism	Mechanism	NNP
hintze-artificial-2020	62	6	Learning	Learning	NNP
hintze-artificial-2020	62	7	is	be	VBZ
hintze-artificial-2020	62	8	an	an	DT
hintze-artificial-2020	62	9	electrochemical	electrochemical	JJ
hintze-artificial-2020	62	10	process	process	NN
hintze-artificial-2020	62	11	that	that	WDT
hintze-artificial-2020	62	12	involves	involve	VBZ
hintze-artificial-2020	62	13	cells	cell	NNS
hintze-artificial-2020	62	14	,	,	,
hintze-artificial-2020	62	15	their	-PRON-	PRP$
hintze-artificial-2020	62	16	genetic	genetic	JJ
hintze-artificial-2020	62	17	makeup	makeup	NN
hintze-artificial-2020	62	18	,	,	,
hintze-artificial-2020	62	19	and	and	CC
hintze-artificial-2020	62	20	how	how	WRB
hintze-artificial-2020	62	21	they	-PRON-	PRP
hintze-artificial-2020	62	22	are	be	VBP
hintze-artificial-2020	62	23	interconnected	interconnect	VBN
hintze-artificial-2020	62	24	.	.	.
hintze-artificial-2020	63	1	Some	some	DT
hintze-artificial-2020	63	2	interplay	interplay	NN
hintze-artificial-2020	63	3	between	between	IN
hintze-artificial-2020	63	4	external	external	JJ
hintze-artificial-2020	63	5	stimuli	stimulus	NNS
hintze-artificial-2020	63	6	and	and	CC
hintze-artificial-2020	63	7	receptor	receptor	NN
hintze-artificial-2020	63	8	proteins	protein	NNS
hintze-artificial-2020	63	9	in	in	IN
hintze-artificial-2020	63	10	specialized	specialized	JJ
hintze-artificial-2020	63	11	sensor	sensor	NN
hintze-artificial-2020	63	12	neurons	neuron	NNS
hintze-artificial-2020	63	13	leads	lead	VBZ
hintze-artificial-2020	63	14	to	to	IN
hintze-artificial-2020	63	15	electrochemical	electrochemical	JJ
hintze-artificial-2020	63	16	signals	signal	NNS
hintze-artificial-2020	63	17	propagating	propagate	VBG
hintze-artificial-2020	63	18	over	over	IN
hintze-artificial-2020	63	19	a	a	DT
hintze-artificial-2020	63	20	network	network	NN
hintze-artificial-2020	63	21	of	of	IN
hintze-artificial-2020	63	22	interconnected	interconnected	JJ
hintze-artificial-2020	63	23	cells	cell	NNS
hintze-artificial-2020	63	24	,	,	,
hintze-artificial-2020	63	25	which	which	WDT
hintze-artificial-2020	63	26	themselves	-PRON-	PRP
hintze-artificial-2020	63	27	respond	respond	VBP
hintze-artificial-2020	63	28	with	with	IN
hintze-artificial-2020	63	29	physical	physical	JJ
hintze-artificial-2020	63	30	and	and	CC
hintze-artificial-2020	63	31	genetic	genetic	JJ
hintze-artificial-2020	63	32	changes	change	NNS
hintze-artificial-2020	63	33	to	to	IN
hintze-artificial-2020	63	34	said	say	VBD
hintze-artificial-2020	63	35	stimuli	stimulus	NNS
hintze-artificial-2020	63	36	,	,	,
hintze-artificial-2020	63	37	probably	probably	RB
hintze-artificial-2020	63	38	also	also	RB
hintze-artificial-2020	63	39	dependent	dependent	JJ
hintze-artificial-2020	63	40	on	on	IN
hintze-artificial-2020	63	41	previous	previous	JJ
hintze-artificial-2020	63	42	stimuli	stimulus	NNS
hintze-artificial-2020	63	43	(	(	-LRB-
hintze-artificial-2020	63	44	Kandel	Kandel	NNP
hintze-artificial-2020	63	45	,	,	,
hintze-artificial-2020	63	46	Schwartz	Schwartz	NNP
hintze-artificial-2020	63	47	,	,	,
hintze-artificial-2020	63	48	Jessel	Jessel	NNP
hintze-artificial-2020	63	49	2000	2000	CD
hintze-artificial-2020	63	50	)	)	-RRB-
hintze-artificial-2020	63	51	.	.	.
hintze-artificial-2020	64	1	This	this	DT
hintze-artificial-2020	64	2	concoction	concoction	NN
hintze-artificial-2020	64	3	of	of	IN
hintze-artificial-2020	64	4	elaborate	elaborate	JJ
hintze-artificial-2020	64	5	terms	term	NNS
hintze-artificial-2020	64	6	might	may	MD
hintze-artificial-2020	64	7	suggest	suggest	VB
hintze-artificial-2020	64	8	that	that	IN
hintze-artificial-2020	64	9	we	-PRON-	PRP
hintze-artificial-2020	64	10	know	know	VBP
hintze-artificial-2020	64	11	in	in	IN
hintze-artificial-2020	64	12	principle	principle	NN
hintze-artificial-2020	64	13	which	which	WDT
hintze-artificial-2020	64	14	parts	part	NNS
hintze-artificial-2020	64	15	are	be	VBP
hintze-artificial-2020	64	16	involved	involve	VBN
hintze-artificial-2020	64	17	and	and	CC
hintze-artificial-2020	64	18	where	where	WRB
hintze-artificial-2020	64	19	they	-PRON-	PRP
hintze-artificial-2020	64	20	are	be	VBP
hintze-artificial-2020	64	21	,	,	,
hintze-artificial-2020	64	22	but	but	CC
hintze-artificial-2020	64	23	we	-PRON-	PRP
hintze-artificial-2020	64	24	are	be	VBP
hintze-artificial-2020	64	25	far	far	RB
hintze-artificial-2020	64	26	from	from	IN
hintze-artificial-2020	64	27	an	an	DT
hintze-artificial-2020	64	28	understanding	understanding	NN
hintze-artificial-2020	64	29	of	of	IN
hintze-artificial-2020	64	30	the	the	DT
hintze-artificial-2020	64	31	learning	learning	NN
hintze-artificial-2020	64	32	mechanism	mechanism	NN
hintze-artificial-2020	64	33	.	.	.
hintze-artificial-2020	65	1	The	the	DT
hintze-artificial-2020	65	2	description	description	NN
hintze-artificial-2020	65	3	above	above	RB
hintze-artificial-2020	65	4	is	be	VBZ
hintze-artificial-2020	65	5	as	as	RB
hintze-artificial-2020	65	6	generic	generic	JJ
hintze-artificial-2020	65	7	as	as	IN
hintze-artificial-2020	65	8	saying	say	VBG
hintze-artificial-2020	65	9	that	that	IN
hintze-artificial-2020	65	10	a	a	DT
hintze-artificial-2020	65	11	city	city	NN
hintze-artificial-2020	65	12	functions	function	NNS
hintze-artificial-2020	65	13	because	because	IN
hintze-artificial-2020	65	14	cars	car	NNS
hintze-artificial-2020	65	15	drive	drive	VBP
hintze-artificial-2020	65	16	on	on	IN
hintze-artificial-2020	65	17	streets	street	NNS
hintze-artificial-2020	65	18	.	.	.
hintze-artificial-2020	66	1	Even	even	RB
hintze-artificial-2020	66	2	though	though	IN
hintze-artificial-2020	66	3	we	-PRON-	PRP
hintze-artificial-2020	66	4	might	may	MD
hintze-artificial-2020	66	5	know	know	VB
hintze-artificial-2020	66	6	a	a	DT
hintze-artificial-2020	66	7	lot	lot	NN
hintze-artificial-2020	66	8	about	about	IN
hintze-artificial-2020	66	9	long	long	JJ
hintze-artificial-2020	66	10	-	-	HYPH
hintze-artificial-2020	66	11	term	term	NN
hintze-artificial-2020	66	12	potentiation	potentiation	NN
hintze-artificial-2020	66	13	or	or	CC
hintze-artificial-2020	66	14	the	the	DT
hintze-artificial-2020	66	15	mechanism	mechanism	NN
hintze-artificial-2020	66	16	of	of	IN
hintze-artificial-2020	66	17	neurons	neuron	NNS
hintze-artificial-2020	66	18	which	which	WDT
hintze-artificial-2020	66	19	fire	fire	VBP
hintze-artificial-2020	66	20	together	together	RB
hintze-artificial-2020	66	21	wiring	wire	VBG
hintze-artificial-2020	66	22	together	together	RB
hintze-artificial-2020	66	23	(	(	-LRB-
hintze-artificial-2020	66	24	aka	aka	DT
hintze-artificial-2020	66	25	Hebbian	hebbian	JJ
hintze-artificial-2020	66	26	learning	learning	NN
hintze-artificial-2020	66	27	)	)	-RRB-
hintze-artificial-2020	66	28	,	,	,
hintze-artificial-2020	66	29	neither	neither	DT
hintze-artificial-2020	66	30	of	of	IN
hintze-artificial-2020	66	31	these	these	DT
hintze-artificial-2020	66	32	processes	process	NNS
hintze-artificial-2020	66	33	actually	actually	RB
hintze-artificial-2020	66	34	mechanistically	mechanistically	RB
hintze-artificial-2020	66	35	explains	explain	VBZ
hintze-artificial-2020	66	36	how	how	WRB
hintze-artificial-2020	66	37	learning	learning	NN
hintze-artificial-2020	66	38	works	work	NNS
hintze-artificial-2020	66	39	.	.	.
hintze-artificial-2020	67	1	Neuroscience	neuroscience	RB
hintze-artificial-2020	67	2	,	,	,
hintze-artificial-2020	67	3	neurophysiology	neurophysiology	NN
hintze-artificial-2020	67	4	,	,	,
hintze-artificial-2020	67	5	and	and	CC
hintze-artificial-2020	67	6	cognitive	cognitive	JJ
hintze-artificial-2020	67	7	science	science	NN
hintze-artificial-2020	67	8	have	have	VBP
hintze-artificial-2020	67	9	not	not	RB
hintze-artificial-2020	67	10	been	be	VBN
hintze-artificial-2020	67	11	able	able	JJ
hintze-artificial-2020	67	12	to	to	TO
hintze-artificial-2020	67	13	discover	discover	VB
hintze-artificial-2020	67	14	this	this	DT
hintze-artificial-2020	67	15	complete	complete	JJ
hintze-artificial-2020	67	16	process	process	NN
hintze-artificial-2020	67	17	in	in	IN
hintze-artificial-2020	67	18	such	such	PDT
hintze-artificial-2020	67	19	a	a	DT
hintze-artificial-2020	67	20	way	way	NN
hintze-artificial-2020	67	21	that	that	WDT
hintze-artificial-2020	67	22	we	-PRON-	PRP
hintze-artificial-2020	67	23	can	can	MD
hintze-artificial-2020	67	24	replicate	replicate	VB
hintze-artificial-2020	67	25	it	-PRON-	PRP
hintze-artificial-2020	67	26	,	,	,
hintze-artificial-2020	67	27	though	though	IN
hintze-artificial-2020	67	28	some	some	DT
hintze-artificial-2020	67	29	inroads	inroad	NNS
hintze-artificial-2020	67	30	are	be	VBP
hintze-artificial-2020	67	31	being	be	VBG
hintze-artificial-2020	67	32	made	make	VBN
hintze-artificial-2020	67	33	(	(	-LRB-
hintze-artificial-2020	67	34	El	El	NNP
hintze-artificial-2020	67	35	-	-	HYPH
hintze-artificial-2020	67	36	Boustani	Boustani	NNP
hintze-artificial-2020	67	37	et	et	NNP
hintze-artificial-2020	67	38	al	al	NNP
hintze-artificial-2020	67	39	.	.	.
hintze-artificial-2020	68	1	2018	2018	CD
hintze-artificial-2020	68	2	)	)	-RRB-
hintze-artificial-2020	68	3	.	.	.
hintze-artificial-2020	69	1	Similarly	similarly	RB
hintze-artificial-2020	69	2	,	,	,
hintze-artificial-2020	69	3	we	-PRON-	PRP
hintze-artificial-2020	69	4	find	find	VBP
hintze-artificial-2020	69	5	promising	promise	VBG
hintze-artificial-2020	69	6	new	new	JJ
hintze-artificial-2020	69	7	interdisciplinary	interdisciplinary	JJ
hintze-artificial-2020	69	8	efforts	effort	NNS
hintze-artificial-2020	69	9	like	like	IN
hintze-artificial-2020	69	10	“	"	``
hintze-artificial-2020	69	11	Cognitive	cognitive	JJ
hintze-artificial-2020	69	12	computational	computational	JJ
hintze-artificial-2020	69	13	neuroscience	neuroscience	NN
hintze-artificial-2020	69	14	”	"	''
hintze-artificial-2020	69	15	that	that	WDT
hintze-artificial-2020	69	16	try	try	VBP
hintze-artificial-2020	69	17	to	to	TO
hintze-artificial-2020	69	18	bridge	bridge	VB
hintze-artificial-2020	69	19	the	the	DT
hintze-artificial-2020	69	20	gap	gap	NN
hintze-artificial-2020	69	21	between	between	IN
hintze-artificial-2020	69	22	neuro-	neuro-	NN
hintze-artificial-2020	69	23	and	and	CC
hintze-artificial-2020	69	24	cognitive	cognitive	JJ
hintze-artificial-2020	69	25	science	science	NN
hintze-artificial-2020	69	26	and	and	CC
hintze-artificial-2020	69	27	computation	computation	NN
hintze-artificial-2020	69	28	(	(	-LRB-
hintze-artificial-2020	69	29	Kriegeskorte	Kriegeskorte	NNP
hintze-artificial-2020	69	30	and	and	CC
hintze-artificial-2020	69	31	Douglas	Douglas	NNP
hintze-artificial-2020	69	32	2018	2018	CD
hintze-artificial-2020	69	33	)	)	-RRB-
hintze-artificial-2020	69	34	.	.	.
hintze-artificial-2020	70	1	So	so	RB
hintze-artificial-2020	70	2	,	,	,
hintze-artificial-2020	70	3	unfortunately	unfortunately	RB
hintze-artificial-2020	70	4	,	,	,
hintze-artificial-2020	70	5	while	while	IN
hintze-artificial-2020	70	6	the	the	DT
hintze-artificial-2020	70	7	components	component	NNS
hintze-artificial-2020	70	8	involved	involve	VBN
hintze-artificial-2020	70	9	can	can	MD
hintze-artificial-2020	70	10	be	be	VB
hintze-artificial-2020	70	11	identified	identify	VBN
hintze-artificial-2020	70	12	,	,	,
hintze-artificial-2020	70	13	the	the	DT
hintze-artificial-2020	70	14	question	question	NN
hintze-artificial-2020	70	15	about	about	IN
hintze-artificial-2020	70	16	“	"	``
hintze-artificial-2020	70	17	how	how	WRB
hintze-artificial-2020	70	18	learning	learning	JJ
hintze-artificial-2020	70	19	works	work	NNS
hintze-artificial-2020	70	20	”	"	''
hintze-artificial-2020	70	21	can	can	MD
hintze-artificial-2020	70	22	not	not	RB
hintze-artificial-2020	70	23	be	be	VB
hintze-artificial-2020	70	24	answered	answer	VBN
hintze-artificial-2020	70	25	mechanistically	mechanistically	RB
hintze-artificial-2020	70	26	.	.	.
hintze-artificial-2020	71	1	However	however	RB
hintze-artificial-2020	71	2	,	,	,
hintze-artificial-2020	71	3	a	a	DT
hintze-artificial-2020	71	4	lot	lot	NN
hintze-artificial-2020	71	5	is	be	VBZ
hintze-artificial-2020	71	6	known	know	VBN
hintze-artificial-2020	71	7	about	about	IN
hintze-artificial-2020	71	8	the	the	DT
hintze-artificial-2020	71	9	phenomenon	phenomenon	NN
hintze-artificial-2020	71	10	of	of	IN
hintze-artificial-2020	71	11	learning	learning	NN
hintze-artificial-2020	71	12	.	.	.
hintze-artificial-2020	72	1	It	-PRON-	PRP
hintze-artificial-2020	72	2	happens	happen	VBZ
hintze-artificial-2020	72	3	during	during	IN
hintze-artificial-2020	72	4	the	the	DT
hintze-artificial-2020	72	5	lifetime	lifetime	NN
hintze-artificial-2020	72	6	of	of	IN
hintze-artificial-2020	72	7	an	an	DT
hintze-artificial-2020	72	8	organism	organism	NN
hintze-artificial-2020	72	9	.	.	.
hintze-artificial-2020	73	1	What	what	WP
hintze-artificial-2020	73	2	happens	happen	VBZ
hintze-artificial-2020	73	3	between	between	IN
hintze-artificial-2020	73	4	the	the	DT
hintze-artificial-2020	73	5	lifetimes	lifetime	NNS
hintze-artificial-2020	73	6	of	of	IN
hintze-artificial-2020	73	7	related	related	JJ
hintze-artificial-2020	73	8	organisms	organism	NNS
hintze-artificial-2020	73	9	is	be	VBZ
hintze-artificial-2020	73	10	an	an	DT
hintze-artificial-2020	73	11	adaptive	adaptive	JJ
hintze-artificial-2020	73	12	process	process	NN
hintze-artificial-2020	73	13	called	call	VBN
hintze-artificial-2020	73	14	evolution	evolution	NN
hintze-artificial-2020	73	15	:	:	:
hintze-artificial-2020	73	16	inheritance	inheritance	NN
hintze-artificial-2020	73	17	,	,	,
hintze-artificial-2020	73	18	variation	variation	NN
hintze-artificial-2020	73	19	,	,	,
hintze-artificial-2020	73	20	and	and	CC
hintze-artificial-2020	73	21	natural	natural	JJ
hintze-artificial-2020	73	22	selection	selection	NN
hintze-artificial-2020	73	23	over	over	IN
hintze-artificial-2020	73	24	many	many	JJ
hintze-artificial-2020	73	25	generations	generation	NNS
hintze-artificial-2020	73	26	up	up	IN
hintze-artificial-2020	73	27	to	to	IN
hintze-artificial-2020	73	28	3.5	3.5	CD
hintze-artificial-2020	73	29	billion	billion	CD
hintze-artificial-2020	73	30	years	year	NNS
hintze-artificial-2020	73	31	here	here	RB
hintze-artificial-2020	73	32	on	on	IN
hintze-artificial-2020	73	33	Earth	Earth	NNP
hintze-artificial-2020	73	34	enabled	enable	VBD
hintze-artificial-2020	73	35	populations	population	NNS
hintze-artificial-2020	73	36	of	of	IN
hintze-artificial-2020	73	37	organisms	organism	NNS
hintze-artificial-2020	73	38	to	to	TO
hintze-artificial-2020	73	39	succeed	succeed	VB
hintze-artificial-2020	73	40	in	in	IN
hintze-artificial-2020	73	41	their	-PRON-	PRP$
hintze-artificial-2020	73	42	environments	environment	NNS
hintze-artificial-2020	73	43	in	in	IN
hintze-artificial-2020	73	44	any	any	DT
hintze-artificial-2020	73	45	way	way	NN
hintze-artificial-2020	73	46	they	-PRON-	PRP
hintze-artificial-2020	73	47	could	could	MD
hintze-artificial-2020	73	48	.	.	.
hintze-artificial-2020	74	1	Evolutionary	evolutionary	JJ
hintze-artificial-2020	74	2	forces	force	NNS
hintze-artificial-2020	74	3	found	find	VBD
hintze-artificial-2020	74	4	ways	way	NNS
hintze-artificial-2020	74	5	for	for	IN
hintze-artificial-2020	74	6	organisms	organism	NNS
hintze-artificial-2020	74	7	to	to	TO
hintze-artificial-2020	74	8	adapt	adapt	VB
hintze-artificial-2020	74	9	to	to	IN
hintze-artificial-2020	74	10	their	-PRON-	PRP$
hintze-artificial-2020	74	11	environment	environment	NN
hintze-artificial-2020	74	12	during	during	IN
hintze-artificial-2020	74	13	their	-PRON-	PRP$
hintze-artificial-2020	74	14	own	own	JJ
hintze-artificial-2020	74	15	lifetimes	lifetime	NNS
hintze-artificial-2020	74	16	.	.	.
hintze-artificial-2020	75	1	While	while	IN
hintze-artificial-2020	75	2	this	this	DT
hintze-artificial-2020	75	3	can	can	MD
hintze-artificial-2020	75	4	take	take	VB
hintze-artificial-2020	75	5	many	many	JJ
hintze-artificial-2020	75	6	forms	form	NNS
hintze-artificial-2020	75	7	,	,	,
hintze-artificial-2020	75	8	such	such	JJ
hintze-artificial-2020	75	9	as	as	IN
hintze-artificial-2020	75	10	storing	store	VBG
hintze-artificial-2020	75	11	energy	energy	NN
hintze-artificial-2020	75	12	,	,	,
hintze-artificial-2020	75	13	seeking	seek	VBG
hintze-artificial-2020	75	14	shelter	shelter	NN
hintze-artificial-2020	75	15	,	,	,
hintze-artificial-2020	75	16	having	have	VBG
hintze-artificial-2020	75	17	a	a	DT
hintze-artificial-2020	75	18	fight	fight	NN
hintze-artificial-2020	75	19	or	or	CC
hintze-artificial-2020	75	20	flight	flight	NN
hintze-artificial-2020	75	21	response	response	NN
hintze-artificial-2020	75	22	,	,	,
hintze-artificial-2020	75	23	it	-PRON-	PRP
hintze-artificial-2020	75	24	has	have	VBZ
hintze-artificial-2020	75	25	led	lead	VBN
hintze-artificial-2020	75	26	to	to	IN
hintze-artificial-2020	75	27	the	the	DT
hintze-artificial-2020	75	28	phenomenon	phenomenon	NN
hintze-artificial-2020	75	29	we	-PRON-	PRP
hintze-artificial-2020	75	30	now	now	RB
hintze-artificial-2020	75	31	call	call	VBP
hintze-artificial-2020	75	32	learning	learn	VBG
hintze-artificial-2020	75	33	.	.	.
hintze-artificial-2020	76	1	Instead	instead	RB
hintze-artificial-2020	76	2	of	of	IN
hintze-artificial-2020	76	3	discussing	discuss	VBG
hintze-artificial-2020	76	4	the	the	DT
hintze-artificial-2020	76	5	diversity	diversity	NN
hintze-artificial-2020	76	6	of	of	IN
hintze-artificial-2020	76	7	learning	learn	VBG
hintze-artificial-2020	76	8	in	in	IN
hintze-artificial-2020	76	9	the	the	DT
hintze-artificial-2020	76	10	animal	animal	NN
hintze-artificial-2020	76	11	kingdom	kingdom	NN
hintze-artificial-2020	76	12	,	,	,
hintze-artificial-2020	76	13	we	-PRON-	PRP
hintze-artificial-2020	76	14	will	will	MD
hintze-artificial-2020	76	15	discuss	discuss	VB
hintze-artificial-2020	76	16	the	the	DT
hintze-artificial-2020	76	17	richest	rich	JJS
hintze-artificial-2020	76	18	example	example	NN
hintze-artificial-2020	76	19	:	:	:
hintze-artificial-2020	76	20	human	human	JJ
hintze-artificial-2020	76	21	learning	learning	NN
hintze-artificial-2020	76	22	.	.	.
hintze-artificial-2020	77	1	Here	here	RB
hintze-artificial-2020	77	2	,	,	,
hintze-artificial-2020	77	3	learning	learning	NN
hintze-artificial-2020	77	4	is	be	VBZ
hintze-artificial-2020	77	5	defined	define	VBN
hintze-artificial-2020	77	6	as	as	IN
hintze-artificial-2020	77	7	the	the	DT
hintze-artificial-2020	77	8	cognitive	cognitive	JJ
hintze-artificial-2020	77	9	adaptation	adaptation	NN
hintze-artificial-2020	77	10	to	to	IN
hintze-artificial-2020	77	11	external	external	JJ
hintze-artificial-2020	77	12	stimulus	stimulus	NN
hintze-artificial-2020	77	13	.	.	.
hintze-artificial-2020	78	1	The	the	DT
hintze-artificial-2020	78	2	phenomenon	phenomenon	NN
hintze-artificial-2020	78	3	of	of	IN
hintze-artificial-2020	78	4	learning	learning	NN
hintze-artificial-2020	78	5	can	can	MD
hintze-artificial-2020	78	6	be	be	VB
hintze-artificial-2020	78	7	observed	observe	VBN
hintze-artificial-2020	78	8	as	as	IN
hintze-artificial-2020	78	9	an	an	DT
hintze-artificial-2020	78	10	increase	increase	NN
hintze-artificial-2020	78	11	in	in	IN
hintze-artificial-2020	78	12	performance	performance	NN
hintze-artificial-2020	78	13	over	over	IN
hintze-artificial-2020	78	14	time	time	NN
hintze-artificial-2020	78	15	.	.	.
hintze-artificial-2020	79	1	Learning	learning	NN
hintze-artificial-2020	79	2	makes	make	VBZ
hintze-artificial-2020	79	3	the	the	DT
hintze-artificial-2020	79	4	organism	organism	NN
hintze-artificial-2020	79	5	better	well	RBR
hintze-artificial-2020	79	6	at	at	IN
hintze-artificial-2020	79	7	doing	do	VBG
hintze-artificial-2020	79	8	something	something	NN
hintze-artificial-2020	79	9	.	.	.
hintze-artificial-2020	80	1	In	in	IN
hintze-artificial-2020	80	2	humans	human	NNS
hintze-artificial-2020	80	3	,	,	,
hintze-artificial-2020	80	4	because	because	IN
hintze-artificial-2020	80	5	we	-PRON-	PRP
hintze-artificial-2020	80	6	have	have	VBP
hintze-artificial-2020	80	7	language	language	NN
hintze-artificial-2020	80	8	and	and	CC
hintze-artificial-2020	80	9	a	a	DT
hintze-artificial-2020	80	10	much	much	RB
hintze-artificial-2020	80	11	higher	high	JJR
hintze-artificial-2020	80	12	degree	degree	NN
hintze-artificial-2020	80	13	of	of	IN
hintze-artificial-2020	80	14	abstract	abstract	JJ
hintze-artificial-2020	80	15	thinking	thinking	NN
hintze-artificial-2020	80	16	,	,	,
hintze-artificial-2020	80	17	an	an	DT
hintze-artificial-2020	80	18	improvement	improvement	NN
hintze-artificial-2020	80	19	in	in	IN
hintze-artificial-2020	80	20	performance	performance	NN
hintze-artificial-2020	80	21	can	can	MD
hintze-artificial-2020	80	22	be	be	VB
hintze-artificial-2020	80	23	facilitated	facilitate	VBN
hintze-artificial-2020	80	24	very	very	RB
hintze-artificial-2020	80	25	quickly	quickly	RB
hintze-artificial-2020	80	26	.	.	.
hintze-artificial-2020	81	1	While	while	IN
hintze-artificial-2020	81	2	it	-PRON-	PRP
hintze-artificial-2020	81	3	takes	take	VBZ
hintze-artificial-2020	81	4	time	time	NN
hintze-artificial-2020	81	5	to	to	TO
hintze-artificial-2020	81	6	learn	learn	VB
hintze-artificial-2020	81	7	how	how	WRB
hintze-artificial-2020	81	8	to	to	TO
hintze-artificial-2020	81	9	juggle	juggle	NNP
hintze-artificial-2020	81	10	,	,	,
hintze-artificial-2020	81	11	the	the	DT
hintze-artificial-2020	81	12	ability	ability	NN
hintze-artificial-2020	81	13	to	to	TO
hintze-artificial-2020	81	14	find	find	VB
hintze-artificial-2020	81	15	the	the	DT
hintze-artificial-2020	81	16	mean	mean	NN
hintze-artificial-2020	81	17	of	of	IN
hintze-artificial-2020	81	18	a	a	DT
hintze-artificial-2020	81	19	series	series	NN
hintze-artificial-2020	81	20	of	of	IN
hintze-artificial-2020	81	21	samples	sample	NNS
hintze-artificial-2020	81	22	can	can	MD
hintze-artificial-2020	81	23	be	be	VB
hintze-artificial-2020	81	24	quickly	quickly	RB
hintze-artificial-2020	81	25	communicated	communicate	VBN
hintze-artificial-2020	81	26	by	by	IN
hintze-artificial-2020	81	27	reading	read	VBG
hintze-artificial-2020	81	28	Wikipedia	Wikipedia	NNP
hintze-artificial-2020	81	29	.	.	.
hintze-artificial-2020	82	1	Both	both	DT
hintze-artificial-2020	82	2	types	type	NNS
hintze-artificial-2020	82	3	of	of	IN
hintze-artificial-2020	82	4	lifetime	lifetime	NN
hintze-artificial-2020	82	5	adaptations	adaptation	NNS
hintze-artificial-2020	82	6	are	be	VBP
hintze-artificial-2020	82	7	called	call	VBN
hintze-artificial-2020	82	8	learning	learn	VBG
hintze-artificial-2020	82	9	.	.	.
hintze-artificial-2020	83	1	However	however	RB
hintze-artificial-2020	83	2	,	,	,
hintze-artificial-2020	83	3	these	these	DT
hintze-artificial-2020	83	4	lifetime	lifetime	NN
hintze-artificial-2020	83	5	adaptations	adaptation	NNS
hintze-artificial-2020	83	6	are	be	VBP
hintze-artificial-2020	83	7	facilitated	facilitate	VBN
hintze-artificial-2020	83	8	by	by	IN
hintze-artificial-2020	83	9	two	two	CD
hintze-artificial-2020	83	10	different	different	JJ
hintze-artificial-2020	83	11	cognitive	cognitive	JJ
hintze-artificial-2020	83	12	processes	process	NNS
hintze-artificial-2020	83	13	:	:	:
hintze-artificial-2020	83	14	explicit	explicit	JJ
hintze-artificial-2020	83	15	or	or	CC
hintze-artificial-2020	83	16	implicit	implicit	JJ
hintze-artificial-2020	83	17	learning	learning	NN
hintze-artificial-2020	83	18	.	.	.
hintze-artificial-2020	84	1	[	[	-LRB-
hintze-artificial-2020	84	2	footnoteRef:0	footnoteref:0	NN
hintze-artificial-2020	84	3	]	]	-RRB-
hintze-artificial-2020	84	4	Explicit	Explicit	NNP
hintze-artificial-2020	84	5	learning	learning	NN
hintze-artificial-2020	84	6	—	—	:
hintze-artificial-2020	84	7	or	or	CC
hintze-artificial-2020	84	8	episodic	episodic	JJ
hintze-artificial-2020	84	9	memory	memory	NN
hintze-artificial-2020	84	10	—	—	:
hintze-artificial-2020	84	11	is	be	VBZ
hintze-artificial-2020	84	12	fact	fact	NN
hintze-artificial-2020	84	13	-	-	HYPH
hintze-artificial-2020	84	14	based	base	VBN
hintze-artificial-2020	84	15	memory	memory	NN
hintze-artificial-2020	84	16	.	.	.
hintze-artificial-2020	85	1	What	what	WP
hintze-artificial-2020	85	2	you	-PRON-	PRP
hintze-artificial-2020	85	3	did	do	VBD
hintze-artificial-2020	85	4	yesterday	yesterday	NN
hintze-artificial-2020	85	5	,	,	,
hintze-artificial-2020	85	6	what	what	WP
hintze-artificial-2020	85	7	happened	happen	VBD
hintze-artificial-2020	85	8	in	in	IN
hintze-artificial-2020	85	9	your	-PRON-	PRP$
hintze-artificial-2020	85	10	childhood	childhood	NN
hintze-artificial-2020	85	11	,	,	,
hintze-artificial-2020	85	12	or	or	CC
hintze-artificial-2020	85	13	the	the	DT
hintze-artificial-2020	85	14	list	list	NN
hintze-artificial-2020	85	15	of	of	IN
hintze-artificial-2020	85	16	things	thing	NNS
hintze-artificial-2020	85	17	you	-PRON-	PRP
hintze-artificial-2020	85	18	should	should	MD
hintze-artificial-2020	85	19	buy	buy	VB
hintze-artificial-2020	85	20	when	when	WRB
hintze-artificial-2020	85	21	you	-PRON-	PRP
hintze-artificial-2020	85	22	go	go	VBP
hintze-artificial-2020	85	23	shopping	shopping	NN
hintze-artificial-2020	85	24	,	,	,
hintze-artificial-2020	85	25	are	be	VBP
hintze-artificial-2020	85	26	all	all	DT
hintze-artificial-2020	85	27	memories	memory	NNS
hintze-artificial-2020	85	28	.	.	.
hintze-artificial-2020	86	1	Currently	currently	RB
hintze-artificial-2020	86	2	,	,	,
hintze-artificial-2020	86	3	the	the	DT
hintze-artificial-2020	86	4	engram	engram	NNP
hintze-artificial-2020	86	5	theory	theory	NN
hintze-artificial-2020	86	6	best	good	JJS
hintze-artificial-2020	86	7	explains	explain	VBZ
hintze-artificial-2020	86	8	this	this	DT
hintze-artificial-2020	86	9	mechanism	mechanism	NN
hintze-artificial-2020	86	10	(	(	-LRB-
hintze-artificial-2020	86	11	Poo	Poo	NNP
hintze-artificial-2020	86	12	et	et	NNP
hintze-artificial-2020	86	13	al	al	NNP
hintze-artificial-2020	86	14	.	.	.
hintze-artificial-2020	87	1	2016	2016	CD
hintze-artificial-2020	87	2	elaborates	elaborate	NNS
hintze-artificial-2020	87	3	on	on	IN
hintze-artificial-2020	87	4	the	the	DT
hintze-artificial-2020	87	5	origins	origin	NNS
hintze-artificial-2020	87	6	of	of	IN
hintze-artificial-2020	87	7	the	the	DT
hintze-artificial-2020	87	8	term	term	NN
hintze-artificial-2020	87	9	)	)	-RRB-
hintze-artificial-2020	87	10	.	.	.
hintze-artificial-2020	88	1	Explicit	explicit	JJ
hintze-artificial-2020	88	2	memory	memory	NN
hintze-artificial-2020	88	3	can	can	MD
hintze-artificial-2020	88	4	be	be	VB
hintze-artificial-2020	88	5	retrieved	retrieve	VBN
hintze-artificial-2020	88	6	relatively	relatively	RB
hintze-artificial-2020	88	7	easily	easily	RB
hintze-artificial-2020	88	8	and	and	CC
hintze-artificial-2020	88	9	then	then	RB
hintze-artificial-2020	88	10	used	use	VBN
hintze-artificial-2020	88	11	to	to	TO
hintze-artificial-2020	88	12	inform	inform	VB
hintze-artificial-2020	88	13	future	future	JJ
hintze-artificial-2020	88	14	decisions	decision	NNS
hintze-artificial-2020	88	15	:	:	:
hintze-artificial-2020	88	16	“	"	``
hintze-artificial-2020	88	17	Press	press	VB
hintze-artificial-2020	88	18	the	the	DT
hintze-artificial-2020	88	19	green	green	JJ
hintze-artificial-2020	88	20	button	button	NN
hintze-artificial-2020	88	21	if	if	IN
hintze-artificial-2020	88	22	the	the	DT
hintze-artificial-2020	88	23	capital	capital	NN
hintze-artificial-2020	88	24	of	of	IN
hintze-artificial-2020	88	25	Italy	Italy	NNP
hintze-artificial-2020	88	26	is	be	VBZ
hintze-artificial-2020	88	27	Paris	Paris	NNP
hintze-artificial-2020	88	28	,	,	,
hintze-artificial-2020	88	29	otherwise	otherwise	RB
hintze-artificial-2020	88	30	press	press	VB
hintze-artificial-2020	88	31	the	the	DT
hintze-artificial-2020	88	32	red	red	NN
hintze-artificial-2020	88	33	.	.	.
hintze-artificial-2020	88	34	”	"	''
hintze-artificial-2020	88	35	The	the	DT
hintze-artificial-2020	88	36	rate	rate	NN
hintze-artificial-2020	88	37	of	of	IN
hintze-artificial-2020	88	38	learning	learn	VBG
hintze-artificial-2020	88	39	for	for	IN
hintze-artificial-2020	88	40	explicit	explicit	JJ
hintze-artificial-2020	88	41	memory	memory	NN
hintze-artificial-2020	88	42	can	can	MD
hintze-artificial-2020	88	43	be	be	VB
hintze-artificial-2020	88	44	much	much	RB
hintze-artificial-2020	88	45	higher	high	JJR
hintze-artificial-2020	88	46	than	than	IN
hintze-artificial-2020	88	47	for	for	IN
hintze-artificial-2020	88	48	implicit	implicit	JJ
hintze-artificial-2020	88	49	memory	memory	NN
hintze-artificial-2020	88	50	,	,	,
hintze-artificial-2020	88	51	and	and	CC
hintze-artificial-2020	88	52	it	-PRON-	PRP
hintze-artificial-2020	88	53	can	can	MD
hintze-artificial-2020	88	54	also	also	RB
hintze-artificial-2020	88	55	be	be	VB
hintze-artificial-2020	88	56	communicated	communicate	VBN
hintze-artificial-2020	88	57	more	more	RBR
hintze-artificial-2020	88	58	quickly	quickly	RB
hintze-artificial-2020	88	59	.	.	.
hintze-artificial-2020	89	1	Abstract	abstract	JJ
hintze-artificial-2020	89	2	communication	communication	NN
hintze-artificial-2020	89	3	,	,	,
hintze-artificial-2020	89	4	such	such	JJ
hintze-artificial-2020	89	5	as	as	IN
hintze-artificial-2020	89	6	“	"	``
hintze-artificial-2020	89	7	I	-PRON-	PRP
hintze-artificial-2020	89	8	saw	see	VBD
hintze-artificial-2020	89	9	a	a	DT
hintze-artificial-2020	89	10	wolf	wolf	NN
hintze-artificial-2020	89	11	”	"	''
hintze-artificial-2020	89	12	allows	allow	VBZ
hintze-artificial-2020	89	13	us	-PRON-	PRP
hintze-artificial-2020	89	14	to	to	TO
hintze-artificial-2020	89	15	transfer	transfer	VB
hintze-artificial-2020	89	16	the	the	DT
hintze-artificial-2020	89	17	experience	experience	NN
hintze-artificial-2020	89	18	of	of	IN
hintze-artificial-2020	89	19	seeing	see	VBG
hintze-artificial-2020	89	20	a	a	DT
hintze-artificial-2020	89	21	wolf	wolf	NN
hintze-artificial-2020	89	22	quickly	quickly	RB
hintze-artificial-2020	89	23	to	to	IN
hintze-artificial-2020	89	24	other	other	JJ
hintze-artificial-2020	89	25	individuals	individual	NNS
hintze-artificial-2020	89	26	,	,	,
hintze-artificial-2020	89	27	even	even	RB
hintze-artificial-2020	89	28	though	though	IN
hintze-artificial-2020	89	29	their	-PRON-	PRP$
hintze-artificial-2020	89	30	evoked	evoked	JJ
hintze-artificial-2020	89	31	explicit	explicit	JJ
hintze-artificial-2020	89	32	memory	memory	NN
hintze-artificial-2020	89	33	might	may	MD
hintze-artificial-2020	89	34	not	not	RB
hintze-artificial-2020	89	35	be	be	VB
hintze-artificial-2020	89	36	identical	identical	JJ
hintze-artificial-2020	89	37	to	to	IN
hintze-artificial-2020	89	38	ours	-PRON-	PRP
hintze-artificial-2020	89	39	.	.	.
hintze-artificial-2020	90	1	[	[	-LRB-
hintze-artificial-2020	90	2	0	0	CD
hintze-artificial-2020	90	3	:	:	:
hintze-artificial-2020	90	4	There	there	EX
hintze-artificial-2020	90	5	are	be	VBP
hintze-artificial-2020	90	6	more	more	JJR
hintze-artificial-2020	90	7	than	than	IN
hintze-artificial-2020	90	8	these	these	DT
hintze-artificial-2020	90	9	two	two	CD
hintze-artificial-2020	90	10	mechanisms	mechanism	NNS
hintze-artificial-2020	90	11	,	,	,
hintze-artificial-2020	90	12	but	but	CC
hintze-artificial-2020	90	13	these	these	DT
hintze-artificial-2020	90	14	are	be	VBP
hintze-artificial-2020	90	15	the	the	DT
hintze-artificial-2020	90	16	two	two	CD
hintze-artificial-2020	90	17	major	major	JJ
hintze-artificial-2020	90	18	ones	one	NNS
hintze-artificial-2020	90	19	.	.	.
hintze-artificial-2020	90	20	]	]	-RRB-
hintze-artificial-2020	91	1	Learning	learn	VBG
hintze-artificial-2020	91	2	by	by	IN
hintze-artificial-2020	91	3	using	use	VBG
hintze-artificial-2020	91	4	implicit	implicit	JJ
hintze-artificial-2020	91	5	memory	memory	NN
hintze-artificial-2020	91	6	—	—	:
hintze-artificial-2020	91	7	sometimes	sometimes	RB
hintze-artificial-2020	91	8	called	call	VBN
hintze-artificial-2020	91	9	procedural	procedural	JJ
hintze-artificial-2020	91	10	memory	memory	NN
hintze-artificial-2020	91	11	—	—	:
hintze-artificial-2020	91	12	is	be	VBZ
hintze-artificial-2020	91	13	facilitated	facilitate	VBN
hintze-artificial-2020	91	14	by	by	IN
hintze-artificial-2020	91	15	much	much	RB
hintze-artificial-2020	91	16	slower	slow	JJR
hintze-artificial-2020	91	17	processes	process	NNS
hintze-artificial-2020	91	18	(	(	-LRB-
hintze-artificial-2020	91	19	Schacter	Schacter	NNP
hintze-artificial-2020	91	20	,	,	,
hintze-artificial-2020	91	21	Chiu	Chiu	NNP
hintze-artificial-2020	91	22	,	,	,
hintze-artificial-2020	91	23	and	and	CC
hintze-artificial-2020	91	24	Ochsner	Ochsner	NNP
hintze-artificial-2020	91	25	1993	1993	CD
hintze-artificial-2020	91	26	)	)	-RRB-
hintze-artificial-2020	91	27	.	.	.
hintze-artificial-2020	92	1	It	-PRON-	PRP
hintze-artificial-2020	92	2	is	be	VBZ
hintze-artificial-2020	92	3	generally	generally	RB
hintze-artificial-2020	92	4	based	base	VBN
hintze-artificial-2020	92	5	on	on	IN
hintze-artificial-2020	92	6	the	the	DT
hintze-artificial-2020	92	7	idea	idea	NN
hintze-artificial-2020	92	8	that	that	IN
hintze-artificial-2020	92	9	learning	learn	VBG
hintze-artificial-2020	92	10	is	be	VBZ
hintze-artificial-2020	92	11	a	a	DT
hintze-artificial-2020	92	12	combination	combination	NN
hintze-artificial-2020	92	13	of	of	IN
hintze-artificial-2020	92	14	expectation	expectation	NN
hintze-artificial-2020	92	15	,	,	,
hintze-artificial-2020	92	16	observation	observation	NN
hintze-artificial-2020	92	17	or	or	CC
hintze-artificial-2020	92	18	action	action	NN
hintze-artificial-2020	92	19	,	,	,
hintze-artificial-2020	92	20	and	and	CC
hintze-artificial-2020	92	21	internal	internal	JJ
hintze-artificial-2020	92	22	model	model	NN
hintze-artificial-2020	92	23	changes	change	NNS
hintze-artificial-2020	92	24	.	.	.
hintze-artificial-2020	93	1	For	for	IN
hintze-artificial-2020	93	2	example	example	NN
hintze-artificial-2020	93	3	,	,	,
hintze-artificial-2020	93	4	a	a	DT
hintze-artificial-2020	93	5	recovering	recover	VBG
hintze-artificial-2020	93	6	hospital	hospital	NN
hintze-artificial-2020	93	7	patient	patient	NN
hintze-artificial-2020	93	8	who	who	WP
hintze-artificial-2020	93	9	has	have	VBZ
hintze-artificial-2020	93	10	suffered	suffer	VBN
hintze-artificial-2020	93	11	a	a	DT
hintze-artificial-2020	93	12	stroke	stroke	NN
hintze-artificial-2020	93	13	is	be	VBZ
hintze-artificial-2020	93	14	handed	hand	VBN
hintze-artificial-2020	93	15	an	an	DT
hintze-artificial-2020	93	16	apple	apple	NN
hintze-artificial-2020	93	17	.	.	.
hintze-artificial-2020	94	1	In	in	IN
hintze-artificial-2020	94	2	this	this	DT
hintze-artificial-2020	94	3	exchange	exchange	NN
hintze-artificial-2020	94	4	,	,	,
hintze-artificial-2020	94	5	the	the	DT
hintze-artificial-2020	94	6	patient	patient	NN
hintze-artificial-2020	94	7	forms	form	VBZ
hintze-artificial-2020	94	8	an	an	DT
hintze-artificial-2020	94	9	expectation	expectation	NN
hintze-artificial-2020	94	10	of	of	IN
hintze-artificial-2020	94	11	where	where	WRB
hintze-artificial-2020	94	12	his	-PRON-	PRP$
hintze-artificial-2020	94	13	hand	hand	NN
hintze-artificial-2020	94	14	will	will	MD
hintze-artificial-2020	94	15	be	be	VB
hintze-artificial-2020	94	16	to	to	TO
hintze-artificial-2020	94	17	accept	accept	VB
hintze-artificial-2020	94	18	the	the	DT
hintze-artificial-2020	94	19	apple	apple	NN
hintze-artificial-2020	94	20	.	.	.
hintze-artificial-2020	95	1	He	-PRON-	PRP
hintze-artificial-2020	95	2	engages	engage	VBZ
hintze-artificial-2020	95	3	his	-PRON-	PRP$
hintze-artificial-2020	95	4	muscles	muscle	NNS
hintze-artificial-2020	95	5	to	to	TO
hintze-artificial-2020	95	6	move	move	VB
hintze-artificial-2020	95	7	his	-PRON-	PRP$
hintze-artificial-2020	95	8	forearm	forearm	NN
hintze-artificial-2020	95	9	and	and	CC
hintze-artificial-2020	95	10	hand	hand	NN
hintze-artificial-2020	95	11	to	to	TO
hintze-artificial-2020	95	12	accept	accept	VB
hintze-artificial-2020	95	13	the	the	DT
hintze-artificial-2020	95	14	apple	apple	NN
hintze-artificial-2020	95	15	,	,	,
hintze-artificial-2020	95	16	which	which	WDT
hintze-artificial-2020	95	17	is	be	VBZ
hintze-artificial-2020	95	18	his	-PRON-	PRP$
hintze-artificial-2020	95	19	action	action	NN
hintze-artificial-2020	95	20	.	.	.
hintze-artificial-2020	96	1	Then	then	RB
hintze-artificial-2020	96	2	the	the	DT
hintze-artificial-2020	96	3	patient	patient	NN
hintze-artificial-2020	96	4	observes	observe	VBZ
hintze-artificial-2020	96	5	that	that	IN
hintze-artificial-2020	96	6	his	-PRON-	PRP$
hintze-artificial-2020	96	7	arm	arm	NN
hintze-artificial-2020	96	8	did	do	VBD
hintze-artificial-2020	96	9	not	not	RB
hintze-artificial-2020	96	10	arrive	arrive	VB
hintze-artificial-2020	96	11	at	at	IN
hintze-artificial-2020	96	12	the	the	DT
hintze-artificial-2020	96	13	correct	correct	JJ
hintze-artificial-2020	96	14	position	position	NN
hintze-artificial-2020	96	15	(	(	-LRB-
hintze-artificial-2020	96	16	due	due	JJ
hintze-artificial-2020	96	17	to	to	IN
hintze-artificial-2020	96	18	neurological	neurological	JJ
hintze-artificial-2020	96	19	damage	damage	NN
hintze-artificial-2020	96	20	)	)	-RRB-
hintze-artificial-2020	96	21	.	.	.
hintze-artificial-2020	97	1	This	this	DT
hintze-artificial-2020	97	2	discrepancy	discrepancy	NN
hintze-artificial-2020	97	3	between	between	IN
hintze-artificial-2020	97	4	expectation	expectation	NN
hintze-artificial-2020	97	5	and	and	CC
hintze-artificial-2020	97	6	action	action	NN
hintze-artificial-2020	97	7	-	-	HYPH
hintze-artificial-2020	97	8	outcome	outcome	NN
hintze-artificial-2020	97	9	drives	drive	VBZ
hintze-artificial-2020	97	10	internal	internal	JJ
hintze-artificial-2020	97	11	changes	change	NNS
hintze-artificial-2020	97	12	so	so	IN
hintze-artificial-2020	97	13	that	that	IN
hintze-artificial-2020	97	14	the	the	DT
hintze-artificial-2020	97	15	patient	patient	NN
hintze-artificial-2020	97	16	’s	’s	POS
hintze-artificial-2020	97	17	brain	brain	NN
hintze-artificial-2020	97	18	learns	learn	VBZ
hintze-artificial-2020	97	19	how	how	WRB
hintze-artificial-2020	97	20	to	to	TO
hintze-artificial-2020	97	21	adequately	adequately	RB
hintze-artificial-2020	97	22	control	control	VB
hintze-artificial-2020	97	23	their	-PRON-	PRP$
hintze-artificial-2020	97	24	arm	arm	NN
hintze-artificial-2020	97	25	.	.	.
hintze-artificial-2020	98	1	Presumably	presumably	RB
hintze-artificial-2020	98	2	,	,	,
hintze-artificial-2020	98	3	everything	everything	NN
hintze-artificial-2020	98	4	considered	consider	VBD
hintze-artificial-2020	98	5	a	a	DT
hintze-artificial-2020	98	6	skill	skill	NN
hintze-artificial-2020	98	7	is	be	VBZ
hintze-artificial-2020	98	8	based	base	VBN
hintze-artificial-2020	98	9	on	on	IN
hintze-artificial-2020	98	10	this	this	DT
hintze-artificial-2020	98	11	process	process	NN
hintze-artificial-2020	98	12	.	.	.
hintze-artificial-2020	99	1	While	while	IN
hintze-artificial-2020	99	2	very	very	RB
hintze-artificial-2020	99	3	flexible	flexible	JJ
hintze-artificial-2020	99	4	,	,	,
hintze-artificial-2020	99	5	this	this	DT
hintze-artificial-2020	99	6	form	form	NN
hintze-artificial-2020	99	7	of	of	IN
hintze-artificial-2020	99	8	memory	memory	NN
hintze-artificial-2020	99	9	is	be	VBZ
hintze-artificial-2020	99	10	not	not	RB
hintze-artificial-2020	99	11	easily	easily	RB
hintze-artificial-2020	99	12	communicated	communicate	VBN
hintze-artificial-2020	99	13	nor	nor	CC
hintze-artificial-2020	99	14	fast	fast	RB
hintze-artificial-2020	99	15	to	to	TO
hintze-artificial-2020	99	16	acquire	acquire	VB
hintze-artificial-2020	99	17	.	.	.
hintze-artificial-2020	100	1	For	for	IN
hintze-artificial-2020	100	2	instance	instance	NN
hintze-artificial-2020	100	3	,	,	,
hintze-artificial-2020	100	4	while	while	IN
hintze-artificial-2020	100	5	juggling	juggling	NN
hintze-artificial-2020	100	6	can	can	MD
hintze-artificial-2020	100	7	be	be	VB
hintze-artificial-2020	100	8	described	describe	VBN
hintze-artificial-2020	100	9	it	-PRON-	PRP
hintze-artificial-2020	100	10	can	can	MD
hintze-artificial-2020	100	11	not	not	RB
hintze-artificial-2020	100	12	be	be	VB
hintze-artificial-2020	100	13	communicated	communicate	VBN
hintze-artificial-2020	100	14	in	in	IN
hintze-artificial-2020	100	15	such	such	PDT
hintze-artificial-2020	100	16	a	a	DT
hintze-artificial-2020	100	17	way	way	NN
hintze-artificial-2020	100	18	that	that	WDT
hintze-artificial-2020	100	19	it	-PRON-	PRP
hintze-artificial-2020	100	20	enables	enable	VBZ
hintze-artificial-2020	100	21	the	the	DT
hintze-artificial-2020	100	22	recipient	recipient	NN
hintze-artificial-2020	100	23	to	to	TO
hintze-artificial-2020	100	24	juggle	juggle	NNP
hintze-artificial-2020	100	25	without	without	IN
hintze-artificial-2020	100	26	additional	additional	JJ
hintze-artificial-2020	100	27	training	training	NN
hintze-artificial-2020	100	28	.	.	.
hintze-artificial-2020	101	1	Comment	comment	NN
hintze-artificial-2020	101	2	by	by	IN
hintze-artificial-2020	101	3	Daniel	Daniel	NNP
hintze-artificial-2020	101	4	Johnson	Johnson	NNP
hintze-artificial-2020	101	5	:	:	:
hintze-artificial-2020	101	6	In	in	IN
hintze-artificial-2020	101	7	the	the	DT
hintze-artificial-2020	101	8	early	early	JJ
hintze-artificial-2020	101	9	draft	draft	NN
hintze-artificial-2020	101	10	,	,	,
hintze-artificial-2020	101	11	I	-PRON-	PRP
hintze-artificial-2020	101	12	suggest	suggest	VBP
hintze-artificial-2020	101	13	that	that	IN
hintze-artificial-2020	101	14	John	John	NNP
hintze-artificial-2020	101	15	's	's	POS
hintze-artificial-2020	101	16	edit	edit	NN
hintze-artificial-2020	101	17	of	of	IN
hintze-artificial-2020	101	18	"	"	``
hintze-artificial-2020	101	19	his	-PRON-	PRP$
hintze-artificial-2020	101	20	/	/	SYM
hintze-artificial-2020	101	21	her	-PRON-	PRP$
hintze-artificial-2020	101	22	"	"	''
hintze-artificial-2020	101	23	was	be	VBD
hintze-artificial-2020	101	24	distracting	distract	VBG
hintze-artificial-2020	101	25	,	,	,
hintze-artificial-2020	101	26	and	and	CC
hintze-artificial-2020	101	27	I	-PRON-	PRP
hintze-artificial-2020	101	28	still	still	RB
hintze-artificial-2020	101	29	thing	thing	NN
hintze-artificial-2020	101	30	that	that	DT
hintze-artificial-2020	101	31	's	be	VBZ
hintze-artificial-2020	101	32	the	the	DT
hintze-artificial-2020	101	33	case	case	NN
hintze-artificial-2020	101	34	.	.	.
hintze-artificial-2020	102	1	Hence	hence	RB
hintze-artificial-2020	102	2	,	,	,
hintze-artificial-2020	102	3	I	-PRON-	PRP
hintze-artificial-2020	102	4	have	have	VBP
hintze-artificial-2020	102	5	edited	edit	VBN
hintze-artificial-2020	102	6	to	to	IN
hintze-artificial-2020	102	7	a	a	DT
hintze-artificial-2020	102	8	hypothetical	hypothetical	JJ
hintze-artificial-2020	102	9	male	male	JJ
hintze-artificial-2020	102	10	patient	patient	NN
hintze-artificial-2020	102	11	.	.	.
hintze-artificial-2020	103	1	If	if	IN
hintze-artificial-2020	103	2	you	-PRON-	PRP
hintze-artificial-2020	103	3	wish	wish	VBP
hintze-artificial-2020	103	4	to	to	TO
hintze-artificial-2020	103	5	use	use	VB
hintze-artificial-2020	103	6	a	a	DT
hintze-artificial-2020	103	7	female	female	NN
hintze-artificial-2020	103	8	instead	instead	RB
hintze-artificial-2020	103	9	,	,	,
hintze-artificial-2020	103	10	that	that	DT
hintze-artificial-2020	103	11	's	be	VBZ
hintze-artificial-2020	103	12	perfectly	perfectly	RB
hintze-artificial-2020	103	13	fine	fine	JJ
hintze-artificial-2020	103	14	with	with	IN
hintze-artificial-2020	103	15	me	-PRON-	PRP
hintze-artificial-2020	103	16	.	.	.
hintze-artificial-2020	104	1	This	this	DT
hintze-artificial-2020	104	2	description	description	NN
hintze-artificial-2020	104	3	of	of	IN
hintze-artificial-2020	104	4	explicit	explicit	JJ
hintze-artificial-2020	104	5	and	and	CC
hintze-artificial-2020	104	6	implicit	implicit	JJ
hintze-artificial-2020	104	7	learning	learning	NN
hintze-artificial-2020	104	8	is	be	VBZ
hintze-artificial-2020	104	9	an	an	DT
hintze-artificial-2020	104	10	amalgamation	amalgamation	NN
hintze-artificial-2020	104	11	of	of	IN
hintze-artificial-2020	104	12	many	many	JJ
hintze-artificial-2020	104	13	different	different	JJ
hintze-artificial-2020	104	14	hypotheses	hypothesis	NNS
hintze-artificial-2020	104	15	and	and	CC
hintze-artificial-2020	104	16	observations	observation	NNS
hintze-artificial-2020	104	17	.	.	.
hintze-artificial-2020	105	1	Also	also	RB
hintze-artificial-2020	105	2	,	,	,
hintze-artificial-2020	105	3	these	these	DT
hintze-artificial-2020	105	4	processes	process	NNS
hintze-artificial-2020	105	5	are	be	VBP
hintze-artificial-2020	105	6	not	not	RB
hintze-artificial-2020	105	7	as	as	RB
hintze-artificial-2020	105	8	well	well	RB
hintze-artificial-2020	105	9	segregated	segregate	VBN
hintze-artificial-2020	105	10	in	in	IN
hintze-artificial-2020	105	11	practice	practice	NN
hintze-artificial-2020	105	12	as	as	IN
hintze-artificial-2020	105	13	outlined	outline	VBN
hintze-artificial-2020	105	14	here	here	RB
hintze-artificial-2020	105	15	.	.	.
hintze-artificial-2020	106	1	What	what	WP
hintze-artificial-2020	106	2	is	be	VBZ
hintze-artificial-2020	106	3	important	important	JJ
hintze-artificial-2020	106	4	is	be	VBZ
hintze-artificial-2020	106	5	what	what	WP
hintze-artificial-2020	106	6	these	these	DT
hintze-artificial-2020	106	7	two	two	CD
hintze-artificial-2020	106	8	learning	learning	NN
hintze-artificial-2020	106	9	mechanisms	mechanism	NNS
hintze-artificial-2020	106	10	are	be	VBP
hintze-artificial-2020	106	11	based	base	VBN
hintze-artificial-2020	106	12	on	on	IN
hintze-artificial-2020	106	13	:	:	:
hintze-artificial-2020	106	14	observations	observation	NNS
hintze-artificial-2020	106	15	lead	lead	NN
hintze-artificial-2020	106	16	to	to	IN
hintze-artificial-2020	106	17	memory	memory	NN
hintze-artificial-2020	106	18	,	,	,
hintze-artificial-2020	106	19	and	and	CC
hintze-artificial-2020	106	20	internal	internal	JJ
hintze-artificial-2020	106	21	predictions	prediction	NNS
hintze-artificial-2020	106	22	together	together	RB
hintze-artificial-2020	106	23	with	with	IN
hintze-artificial-2020	106	24	exploration	exploration	NN
hintze-artificial-2020	106	25	lead	lead	NN
hintze-artificial-2020	106	26	to	to	IN
hintze-artificial-2020	106	27	improved	improve	VBN
hintze-artificial-2020	106	28	models	model	NNS
hintze-artificial-2020	106	29	about	about	IN
hintze-artificial-2020	106	30	the	the	DT
hintze-artificial-2020	106	31	world	world	NN
hintze-artificial-2020	106	32	.	.	.
hintze-artificial-2020	107	1	Lastly	lastly	RB
hintze-artificial-2020	107	2	,	,	,
hintze-artificial-2020	107	3	these	these	DT
hintze-artificial-2020	107	4	learning	learning	NN
hintze-artificial-2020	107	5	processes	process	NNS
hintze-artificial-2020	107	6	only	only	RB
hintze-artificial-2020	107	7	exist	exist	VBP
hintze-artificial-2020	107	8	in	in	IN
hintze-artificial-2020	107	9	organisms	organism	NNS
hintze-artificial-2020	107	10	because	because	IN
hintze-artificial-2020	107	11	they	-PRON-	PRP
hintze-artificial-2020	107	12	previously	previously	RB
hintze-artificial-2020	107	13	conferred	confer	VBD
hintze-artificial-2020	107	14	an	an	DT
hintze-artificial-2020	107	15	evolutionary	evolutionary	JJ
hintze-artificial-2020	107	16	advantage	advantage	NN
hintze-artificial-2020	107	17	:	:	:
hintze-artificial-2020	107	18	Organisms	organism	NNS
hintze-artificial-2020	107	19	that	that	WDT
hintze-artificial-2020	107	20	could	could	MD
hintze-artificial-2020	107	21	memorize	memorize	VB
hintze-artificial-2020	107	22	and	and	CC
hintze-artificial-2020	107	23	then	then	RB
hintze-artificial-2020	107	24	act	act	VB
hintze-artificial-2020	107	25	on	on	IN
hintze-artificial-2020	107	26	those	those	DT
hintze-artificial-2020	107	27	memories	memory	NNS
hintze-artificial-2020	107	28	had	have	VBD
hintze-artificial-2020	107	29	more	more	JJR
hintze-artificial-2020	107	30	offspring	offspring	NN
hintze-artificial-2020	107	31	than	than	IN
hintze-artificial-2020	107	32	those	those	DT
hintze-artificial-2020	107	33	that	that	WDT
hintze-artificial-2020	107	34	did	do	VBD
hintze-artificial-2020	107	35	not	not	RB
hintze-artificial-2020	107	36	.	.	.
hintze-artificial-2020	108	1	This	this	DT
hintze-artificial-2020	108	2	interaction	interaction	NN
hintze-artificial-2020	108	3	of	of	IN
hintze-artificial-2020	108	4	learning	learning	NN
hintze-artificial-2020	108	5	and	and	CC
hintze-artificial-2020	108	6	evolution	evolution	NN
hintze-artificial-2020	108	7	is	be	VBZ
hintze-artificial-2020	108	8	called	call	VBN
hintze-artificial-2020	108	9	the	the	DT
hintze-artificial-2020	108	10	Baldwin	Baldwin	NNP
hintze-artificial-2020	108	11	effect	effect	NN
hintze-artificial-2020	108	12	(	(	-LRB-
hintze-artificial-2020	108	13	Weber	Weber	NNP
hintze-artificial-2020	108	14	and	and	CC
hintze-artificial-2020	108	15	Depew	Depew	NNP
hintze-artificial-2020	108	16	2003	2003	CD
hintze-artificial-2020	108	17	)	)	-RRB-
hintze-artificial-2020	108	18	.	.	.
hintze-artificial-2020	109	1	Organisms	organism	NNS
hintze-artificial-2020	109	2	that	that	WDT
hintze-artificial-2020	109	3	could	could	MD
hintze-artificial-2020	109	4	explore	explore	VB
hintze-artificial-2020	109	5	the	the	DT
hintze-artificial-2020	109	6	environment	environment	NN
hintze-artificial-2020	109	7	,	,	,
hintze-artificial-2020	109	8	make	make	VB
hintze-artificial-2020	109	9	predictions	prediction	NNS
hintze-artificial-2020	109	10	about	about	IN
hintze-artificial-2020	109	11	it	-PRON-	PRP
hintze-artificial-2020	109	12	,	,	,
hintze-artificial-2020	109	13	and	and	CC
hintze-artificial-2020	109	14	use	use	VB
hintze-artificial-2020	109	15	observations	observation	NNS
hintze-artificial-2020	109	16	to	to	TO
hintze-artificial-2020	109	17	optimize	optimize	VB
hintze-artificial-2020	109	18	their	-PRON-	PRP$
hintze-artificial-2020	109	19	internal	internal	JJ
hintze-artificial-2020	109	20	models	model	NNS
hintze-artificial-2020	109	21	were	be	VBD
hintze-artificial-2020	109	22	similarly	similarly	RB
hintze-artificial-2020	109	23	more	more	RBR
hintze-artificial-2020	109	24	capable	capable	JJ
hintze-artificial-2020	109	25	than	than	IN
hintze-artificial-2020	109	26	organisms	organism	NNS
hintze-artificial-2020	109	27	that	that	WDT
hintze-artificial-2020	109	28	could	could	MD
hintze-artificial-2020	109	29	not	not	RB
hintze-artificial-2020	109	30	.	.	.
hintze-artificial-2020	110	1	Machines	machine	NNS
hintze-artificial-2020	110	2	do	do	VBP
hintze-artificial-2020	110	3	not	not	RB
hintze-artificial-2020	110	4	Learn	learn	VB
hintze-artificial-2020	110	5	;	;	:
hintze-artificial-2020	110	6	They	-PRON-	PRP
hintze-artificial-2020	110	7	are	be	VBP
hintze-artificial-2020	110	8	Trained	train	VBN
hintze-artificial-2020	110	9	Now	now	RB
hintze-artificial-2020	110	10	prepared	prepared	JJ
hintze-artificial-2020	110	11	with	with	IN
hintze-artificial-2020	110	12	a	a	DT
hintze-artificial-2020	110	13	proper	proper	JJ
hintze-artificial-2020	110	14	intuition	intuition	NN
hintze-artificial-2020	110	15	about	about	IN
hintze-artificial-2020	110	16	learning	learning	NN
hintze-artificial-2020	110	17	,	,	,
hintze-artificial-2020	110	18	we	-PRON-	PRP
hintze-artificial-2020	110	19	can	can	MD
hintze-artificial-2020	110	20	turn	turn	VB
hintze-artificial-2020	110	21	our	-PRON-	PRP$
hintze-artificial-2020	110	22	attention	attention	NN
hintze-artificial-2020	110	23	to	to	IN
hintze-artificial-2020	110	24	machine	machine	NN
hintze-artificial-2020	110	25	learning	learning	NN
hintze-artificial-2020	110	26	.	.	.
hintze-artificial-2020	111	1	After	after	RB
hintze-artificial-2020	111	2	all	all	RB
hintze-artificial-2020	111	3	,	,	,
hintze-artificial-2020	111	4	our	-PRON-	PRP$
hintze-artificial-2020	111	5	intuitions	intuition	NNS
hintze-artificial-2020	111	6	should	should	MD
hintze-artificial-2020	111	7	be	be	VB
hintze-artificial-2020	111	8	meaningful	meaningful	JJ
hintze-artificial-2020	111	9	in	in	IN
hintze-artificial-2020	111	10	the	the	DT
hintze-artificial-2020	111	11	computational	computational	JJ
hintze-artificial-2020	111	12	domain	domain	NN
hintze-artificial-2020	111	13	as	as	RB
hintze-artificial-2020	111	14	well	well	RB
hintze-artificial-2020	111	15	,	,	,
hintze-artificial-2020	111	16	because	because	IN
hintze-artificial-2020	111	17	learning	learning	NN
hintze-artificial-2020	111	18	always	always	RB
hintze-artificial-2020	111	19	follows	follow	VBZ
hintze-artificial-2020	111	20	the	the	DT
hintze-artificial-2020	111	21	same	same	JJ
hintze-artificial-2020	111	22	pattern	pattern	NN
hintze-artificial-2020	111	23	.	.	.
hintze-artificial-2020	112	1	One	one	PRP
hintze-artificial-2020	112	2	might	may	MD
hintze-artificial-2020	112	3	be	be	VB
hintze-artificial-2020	112	4	disappointed	disappoint	VBN
hintze-artificial-2020	112	5	when	when	WRB
hintze-artificial-2020	112	6	looking	look	VBG
hintze-artificial-2020	112	7	over	over	IN
hintze-artificial-2020	112	8	the	the	DT
hintze-artificial-2020	112	9	table	table	NN
hintze-artificial-2020	112	10	of	of	IN
hintze-artificial-2020	112	11	contents	content	NNS
hintze-artificial-2020	112	12	of	of	IN
hintze-artificial-2020	112	13	a	a	DT
hintze-artificial-2020	112	14	machine	machine	NN
hintze-artificial-2020	112	15	learning	learn	VBG
hintze-artificial-2020	112	16	book	book	NN
hintze-artificial-2020	112	17	and	and	CC
hintze-artificial-2020	112	18	find	find	VBP
hintze-artificial-2020	112	19	only	only	JJ
hintze-artificial-2020	112	20	methods	method	NNS
hintze-artificial-2020	112	21	for	for	IN
hintze-artificial-2020	112	22	creating	create	VBG
hintze-artificial-2020	112	23	static	static	JJ
hintze-artificial-2020	112	24	transformation	transformation	NN
hintze-artificial-2020	112	25	functions	function	NNS
hintze-artificial-2020	112	26	(	(	-LRB-
hintze-artificial-2020	112	27	see	see	VB
hintze-artificial-2020	112	28	Russell	Russell	NNP
hintze-artificial-2020	112	29	and	and	CC
hintze-artificial-2020	112	30	Norvig	Norvig	NNP
hintze-artificial-2020	112	31	2016	2016	CD
hintze-artificial-2020	112	32	,	,	,
hintze-artificial-2020	112	33	one	one	CD
hintze-artificial-2020	112	34	of	of	IN
hintze-artificial-2020	112	35	the	the	DT
hintze-artificial-2020	112	36	putative	putative	JJ
hintze-artificial-2020	112	37	foundations	foundation	NNS
hintze-artificial-2020	112	38	of	of	IN
hintze-artificial-2020	112	39	machine	machine	NN
hintze-artificial-2020	112	40	learning	learning	NN
hintze-artificial-2020	112	41	and	and	CC
hintze-artificial-2020	112	42	AI	AI	NNP
hintze-artificial-2020	112	43	)	)	-RRB-
hintze-artificial-2020	112	44	.	.	.
hintze-artificial-2020	113	1	There	there	EX
hintze-artificial-2020	113	2	will	will	MD
hintze-artificial-2020	113	3	typically	typically	RB
hintze-artificial-2020	113	4	be	be	VB
hintze-artificial-2020	113	5	a	a	DT
hintze-artificial-2020	113	6	distinction	distinction	NN
hintze-artificial-2020	113	7	between	between	IN
hintze-artificial-2020	113	8	supervised	supervised	JJ
hintze-artificial-2020	113	9	and	and	CC
hintze-artificial-2020	113	10	unsupervised	unsupervise	VBN
hintze-artificial-2020	113	11	learning	learning	NN
hintze-artificial-2020	113	12	,	,	,
hintze-artificial-2020	113	13	between	between	IN
hintze-artificial-2020	113	14	categorical	categorical	JJ
hintze-artificial-2020	113	15	and	and	CC
hintze-artificial-2020	113	16	continuous	continuous	JJ
hintze-artificial-2020	113	17	data	datum	NNS
hintze-artificial-2020	113	18	,	,	,
hintze-artificial-2020	113	19	and	and	CC
hintze-artificial-2020	113	20	maybe	maybe	RB
hintze-artificial-2020	113	21	a	a	DT
hintze-artificial-2020	113	22	section	section	NN
hintze-artificial-2020	113	23	about	about	IN
hintze-artificial-2020	113	24	other	other	JJ
hintze-artificial-2020	113	25	“	"	``
hintze-artificial-2020	113	26	smart	smart	JJ
hintze-artificial-2020	113	27	”	"	''
hintze-artificial-2020	113	28	algorithms	algorithm	NNS
hintze-artificial-2020	113	29	.	.	.
hintze-artificial-2020	114	1	You	-PRON-	PRP
hintze-artificial-2020	114	2	will	will	MD
hintze-artificial-2020	114	3	not	not	RB
hintze-artificial-2020	114	4	find	find	VB
hintze-artificial-2020	114	5	a	a	DT
hintze-artificial-2020	114	6	discussion	discussion	NN
hintze-artificial-2020	114	7	about	about	IN
hintze-artificial-2020	114	8	implicit	implicit	JJ
hintze-artificial-2020	114	9	and	and	CC
hintze-artificial-2020	114	10	explicit	explicit	JJ
hintze-artificial-2020	114	11	memory	memory	NN
hintze-artificial-2020	114	12	,	,	,
hintze-artificial-2020	114	13	let	let	VB
hintze-artificial-2020	114	14	alone	alone	JJ
hintze-artificial-2020	114	15	methods	method	NNS
hintze-artificial-2020	114	16	for	for	IN
hintze-artificial-2020	114	17	implementing	implement	VBG
hintze-artificial-2020	114	18	these	these	DT
hintze-artificial-2020	114	19	concepts	concept	NNS
hintze-artificial-2020	114	20	.	.	.
hintze-artificial-2020	115	1	So	so	CC
hintze-artificial-2020	115	2	,	,	,
hintze-artificial-2020	115	3	if	if	IN
hintze-artificial-2020	115	4	these	these	DT
hintze-artificial-2020	115	5	important	important	JJ
hintze-artificial-2020	115	6	sections	section	NNS
hintze-artificial-2020	115	7	in	in	IN
hintze-artificial-2020	115	8	our	-PRON-	PRP$
hintze-artificial-2020	115	9	imaginary	imaginary	JJ
hintze-artificial-2020	115	10	machine	machine	NN
hintze-artificial-2020	115	11	learning	learning	NN
hintze-artificial-2020	115	12	book	book	NN
hintze-artificial-2020	115	13	do	do	VBP
hintze-artificial-2020	115	14	not	not	RB
hintze-artificial-2020	115	15	discuss	discuss	VB
hintze-artificial-2020	115	16	the	the	DT
hintze-artificial-2020	115	17	mechanisms	mechanism	NNS
hintze-artificial-2020	115	18	of	of	IN
hintze-artificial-2020	115	19	learning	learning	NN
hintze-artificial-2020	115	20	,	,	,
hintze-artificial-2020	115	21	then	then	RB
hintze-artificial-2020	115	22	what	what	WP
hintze-artificial-2020	115	23	are	be	VBP
hintze-artificial-2020	115	24	they	-PRON-	PRP
hintze-artificial-2020	115	25	discussing	discuss	VBG
hintze-artificial-2020	115	26	?	?	.
hintze-artificial-2020	116	1	Unsupervised	unsupervise	VBN
hintze-artificial-2020	116	2	learning	learning	NN
hintze-artificial-2020	116	3	describes	describe	VBZ
hintze-artificial-2020	116	4	algorithms	algorithm	NNS
hintze-artificial-2020	116	5	that	that	WDT
hintze-artificial-2020	116	6	report	report	VBP
hintze-artificial-2020	116	7	information	information	NN
hintze-artificial-2020	116	8	based	base	VBN
hintze-artificial-2020	116	9	on	on	IN
hintze-artificial-2020	116	10	associations	association	NNS
hintze-artificial-2020	116	11	within	within	IN
hintze-artificial-2020	116	12	the	the	DT
hintze-artificial-2020	116	13	data	datum	NNS
hintze-artificial-2020	116	14	.	.	.
hintze-artificial-2020	117	1	Clustering	cluster	VBG
hintze-artificial-2020	117	2	algorithms	algorithm	NNS
hintze-artificial-2020	117	3	are	be	VBP
hintze-artificial-2020	117	4	a	a	DT
hintze-artificial-2020	117	5	popular	popular	JJ
hintze-artificial-2020	117	6	example	example	NN
hintze-artificial-2020	117	7	of	of	IN
hintze-artificial-2020	117	8	unsupervised	unsupervised	JJ
hintze-artificial-2020	117	9	learning	learning	NN
hintze-artificial-2020	117	10	.	.	.
hintze-artificial-2020	118	1	These	these	DT
hintze-artificial-2020	118	2	use	use	VBP
hintze-artificial-2020	118	3	similarity	similarity	NN
hintze-artificial-2020	118	4	between	between	IN
hintze-artificial-2020	118	5	data	datum	NNS
hintze-artificial-2020	118	6	points	point	NNS
hintze-artificial-2020	118	7	to	to	TO
hintze-artificial-2020	118	8	form	form	VB
hintze-artificial-2020	118	9	and	and	CC
hintze-artificial-2020	118	10	report	report	VB
hintze-artificial-2020	118	11	on	on	IN
hintze-artificial-2020	118	12	distinct	distinct	JJ
hintze-artificial-2020	118	13	groups	group	NNS
hintze-artificial-2020	118	14	of	of	IN
hintze-artificial-2020	118	15	data	datum	NNS
hintze-artificial-2020	118	16	.	.	.
hintze-artificial-2020	119	1	Clustering	cluster	VBG
hintze-artificial-2020	119	2	is	be	VBZ
hintze-artificial-2020	119	3	a	a	DT
hintze-artificial-2020	119	4	very	very	RB
hintze-artificial-2020	119	5	important	important	JJ
hintze-artificial-2020	119	6	method	method	NN
hintze-artificial-2020	119	7	but	but	CC
hintze-artificial-2020	119	8	is	be	VBZ
hintze-artificial-2020	119	9	only	only	RB
hintze-artificial-2020	119	10	a	a	DT
hintze-artificial-2020	119	11	well	well	RB
hintze-artificial-2020	119	12	-	-	HYPH
hintze-artificial-2020	119	13	designed	design	VBN
hintze-artificial-2020	119	14	algorithm	algorithm	NN
hintze-artificial-2020	119	15	that	that	WDT
hintze-artificial-2020	119	16	is	be	VBZ
hintze-artificial-2020	119	17	not	not	RB
hintze-artificial-2020	119	18	adaptive	adaptive	JJ
hintze-artificial-2020	119	19	.	.	.
hintze-artificial-2020	120	1	Supervised	supervise	VBN
hintze-artificial-2020	120	2	learning	learning	NN
hintze-artificial-2020	120	3	describes	describe	VBZ
hintze-artificial-2020	120	4	algorithms	algorithm	NNS
hintze-artificial-2020	120	5	that	that	WDT
hintze-artificial-2020	120	6	refine	refine	VBP
hintze-artificial-2020	120	7	a	a	DT
hintze-artificial-2020	120	8	transformation	transformation	NN
hintze-artificial-2020	120	9	function	function	NN
hintze-artificial-2020	120	10	to	to	TO
hintze-artificial-2020	120	11	convert	convert	VB
hintze-artificial-2020	120	12	from	from	IN
hintze-artificial-2020	120	13	a	a	DT
hintze-artificial-2020	120	14	certain	certain	JJ
hintze-artificial-2020	120	15	input	input	NN
hintze-artificial-2020	120	16	to	to	IN
hintze-artificial-2020	120	17	a	a	DT
hintze-artificial-2020	120	18	certain	certain	JJ
hintze-artificial-2020	120	19	output	output	NN
hintze-artificial-2020	120	20	.	.	.
hintze-artificial-2020	121	1	The	the	DT
hintze-artificial-2020	121	2	idea	idea	NN
hintze-artificial-2020	121	3	is	be	VBZ
hintze-artificial-2020	121	4	to	to	TO
hintze-artificial-2020	121	5	balance	balance	VB
hintze-artificial-2020	121	6	specific	specific	JJ
hintze-artificial-2020	121	7	and	and	CC
hintze-artificial-2020	121	8	general	general	JJ
hintze-artificial-2020	121	9	refining	refining	NN
hintze-artificial-2020	121	10	such	such	JJ
hintze-artificial-2020	121	11	that	that	IN
hintze-artificial-2020	121	12	the	the	DT
hintze-artificial-2020	121	13	transformation	transformation	NN
hintze-artificial-2020	121	14	function	function	NN
hintze-artificial-2020	121	15	correctly	correctly	RB
hintze-artificial-2020	121	16	transforms	transform	VBZ
hintze-artificial-2020	121	17	all	all	DT
hintze-artificial-2020	121	18	known	know	VBN
hintze-artificial-2020	121	19	examples	example	NNS
hintze-artificial-2020	121	20	but	but	CC
hintze-artificial-2020	121	21	generalizes	generalize	VBZ
hintze-artificial-2020	121	22	enough	enough	RB
hintze-artificial-2020	121	23	to	to	TO
hintze-artificial-2020	121	24	work	work	VB
hintze-artificial-2020	121	25	well	well	RB
hintze-artificial-2020	121	26	on	on	IN
hintze-artificial-2020	121	27	new	new	JJ
hintze-artificial-2020	121	28	variations	variation	NNS
hintze-artificial-2020	121	29	.	.	.
hintze-artificial-2020	122	1	For	for	IN
hintze-artificial-2020	122	2	example	example	NN
hintze-artificial-2020	122	3	,	,	,
hintze-artificial-2020	122	4	we	-PRON-	PRP
hintze-artificial-2020	122	5	would	would	MD
hintze-artificial-2020	122	6	like	like	VB
hintze-artificial-2020	122	7	the	the	DT
hintze-artificial-2020	122	8	machine	machine	NN
hintze-artificial-2020	122	9	to	to	TO
hintze-artificial-2020	122	10	transform	transform	VB
hintze-artificial-2020	122	11	image	image	NN
hintze-artificial-2020	122	12	data	datum	NNS
hintze-artificial-2020	122	13	into	into	IN
hintze-artificial-2020	122	14	textual	textual	JJ
hintze-artificial-2020	122	15	labels	label	NNS
hintze-artificial-2020	122	16	,	,	,
hintze-artificial-2020	122	17	such	such	JJ
hintze-artificial-2020	122	18	as	as	IN
hintze-artificial-2020	122	19	“	"	``
hintze-artificial-2020	122	20	house	house	NN
hintze-artificial-2020	122	21	”	"	''
hintze-artificial-2020	122	22	or	or	CC
hintze-artificial-2020	122	23	“	"	``
hintze-artificial-2020	122	24	car	car	NN
hintze-artificial-2020	122	25	.	.	.
hintze-artificial-2020	122	26	”	"	''
hintze-artificial-2020	122	27	The	the	DT
hintze-artificial-2020	122	28	input	input	NN
hintze-artificial-2020	122	29	is	be	VBZ
hintze-artificial-2020	122	30	an	an	DT
hintze-artificial-2020	122	31	image	image	NN
hintze-artificial-2020	122	32	and	and	CC
hintze-artificial-2020	122	33	the	the	DT
hintze-artificial-2020	122	34	output	output	NN
hintze-artificial-2020	122	35	is	be	VBZ
hintze-artificial-2020	122	36	a	a	DT
hintze-artificial-2020	122	37	label	label	NN
hintze-artificial-2020	122	38	.	.	.
hintze-artificial-2020	123	1	The	the	DT
hintze-artificial-2020	123	2	input	input	NN
hintze-artificial-2020	123	3	image	image	NN
hintze-artificial-2020	123	4	data	datum	NNS
hintze-artificial-2020	123	5	are	be	VBP
hintze-artificial-2020	123	6	provided	provide	VBN
hintze-artificial-2020	123	7	to	to	IN
hintze-artificial-2020	123	8	the	the	DT
hintze-artificial-2020	123	9	machine	machine	NN
hintze-artificial-2020	123	10	,	,	,
hintze-artificial-2020	123	11	and	and	CC
hintze-artificial-2020	123	12	small	small	JJ
hintze-artificial-2020	123	13	adjustments	adjustment	NNS
hintze-artificial-2020	123	14	to	to	IN
hintze-artificial-2020	123	15	the	the	DT
hintze-artificial-2020	123	16	machine	machine	NN
hintze-artificial-2020	123	17	’s	’s	POS
hintze-artificial-2020	123	18	function	function	NN
hintze-artificial-2020	123	19	are	be	VBP
hintze-artificial-2020	123	20	made	make	VBN
hintze-artificial-2020	123	21	depending	depend	VBG
hintze-artificial-2020	123	22	on	on	IN
hintze-artificial-2020	123	23	how	how	WRB
hintze-artificial-2020	123	24	well	well	RB
hintze-artificial-2020	123	25	it	-PRON-	PRP
hintze-artificial-2020	123	26	provided	provide	VBD
hintze-artificial-2020	123	27	the	the	DT
hintze-artificial-2020	123	28	correct	correct	JJ
hintze-artificial-2020	123	29	output	output	NN
hintze-artificial-2020	123	30	.	.	.
hintze-artificial-2020	124	1	Many	many	JJ
hintze-artificial-2020	124	2	iterations	iteration	NNS
hintze-artificial-2020	124	3	later	later	RB
hintze-artificial-2020	124	4	ideally	ideally	RB
hintze-artificial-2020	124	5	will	will	MD
hintze-artificial-2020	124	6	result	result	VB
hintze-artificial-2020	124	7	in	in	IN
hintze-artificial-2020	124	8	a	a	DT
hintze-artificial-2020	124	9	machine	machine	NN
hintze-artificial-2020	124	10	that	that	WDT
hintze-artificial-2020	124	11	can	can	MD
hintze-artificial-2020	124	12	transform	transform	VB
hintze-artificial-2020	124	13	all	all	DT
hintze-artificial-2020	124	14	image	image	NN
hintze-artificial-2020	124	15	data	datum	NNS
hintze-artificial-2020	124	16	to	to	TO
hintze-artificial-2020	124	17	correct	correct	VB
hintze-artificial-2020	124	18	labels	label	NNS
hintze-artificial-2020	124	19	,	,	,
hintze-artificial-2020	124	20	and	and	CC
hintze-artificial-2020	124	21	even	even	RB
hintze-artificial-2020	124	22	operate	operate	VBP
hintze-artificial-2020	124	23	correctly	correctly	RB
hintze-artificial-2020	124	24	on	on	IN
hintze-artificial-2020	124	25	new	new	JJ
hintze-artificial-2020	124	26	variations	variation	NNS
hintze-artificial-2020	124	27	of	of	IN
hintze-artificial-2020	124	28	images	image	NNS
hintze-artificial-2020	124	29	not	not	RB
hintze-artificial-2020	124	30	provided	provide	VBN
hintze-artificial-2020	124	31	before	before	RB
hintze-artificial-2020	124	32	.	.	.
hintze-artificial-2020	125	1	Supervised	supervise	VBN
hintze-artificial-2020	125	2	learning	learning	NN
hintze-artificial-2020	125	3	is	be	VBZ
hintze-artificial-2020	125	4	extremely	extremely	RB
hintze-artificial-2020	125	5	powerful	powerful	JJ
hintze-artificial-2020	125	6	and	and	CC
hintze-artificial-2020	125	7	is	be	VBZ
hintze-artificial-2020	125	8	yet	yet	RB
hintze-artificial-2020	125	9	to	to	TO
hintze-artificial-2020	125	10	be	be	VB
hintze-artificial-2020	125	11	fully	fully	RB
hintze-artificial-2020	125	12	explored	explore	VBN
hintze-artificial-2020	125	13	.	.	.
hintze-artificial-2020	126	1	However	however	RB
hintze-artificial-2020	126	2	,	,	,
hintze-artificial-2020	126	3	supervised	supervise	VBN
hintze-artificial-2020	126	4	learning	learning	NN
hintze-artificial-2020	126	5	is	be	VBZ
hintze-artificial-2020	126	6	quite	quite	RB
hintze-artificial-2020	126	7	dissimilar	dissimilar	JJ
hintze-artificial-2020	126	8	to	to	IN
hintze-artificial-2020	126	9	actual	actual	JJ
hintze-artificial-2020	126	10	learning	learning	NN
hintze-artificial-2020	126	11	.	.	.
hintze-artificial-2020	127	1	A	a	DT
hintze-artificial-2020	127	2	common	common	JJ
hintze-artificial-2020	127	3	argument	argument	NN
hintze-artificial-2020	127	4	is	be	VBZ
hintze-artificial-2020	127	5	that	that	IN
hintze-artificial-2020	127	6	supervised	supervise	VBN
hintze-artificial-2020	127	7	learning	learning	NN
hintze-artificial-2020	127	8	uses	use	VBZ
hintze-artificial-2020	127	9	feedback	feedback	NN
hintze-artificial-2020	127	10	in	in	IN
hintze-artificial-2020	127	11	a	a	DT
hintze-artificial-2020	127	12	“	"	``
hintze-artificial-2020	127	13	student	student	NN
hintze-artificial-2020	127	14	-	-	HYPH
hintze-artificial-2020	127	15	teacher	teacher	NN
hintze-artificial-2020	127	16	”	"	''
hintze-artificial-2020	127	17	paradigm	paradigm	NN
hintze-artificial-2020	127	18	of	of	IN
hintze-artificial-2020	127	19	making	make	VBG
hintze-artificial-2020	127	20	changes	change	NNS
hintze-artificial-2020	127	21	with	with	IN
hintze-artificial-2020	127	22	feedback	feedback	NN
hintze-artificial-2020	127	23	until	until	IN
hintze-artificial-2020	127	24	proper	proper	JJ
hintze-artificial-2020	127	25	behavior	behavior	NN
hintze-artificial-2020	127	26	is	be	VBZ
hintze-artificial-2020	127	27	achieved	achieve	VBN
hintze-artificial-2020	127	28	,	,	,
hintze-artificial-2020	127	29	so	so	IN
hintze-artificial-2020	127	30	it	-PRON-	PRP
hintze-artificial-2020	127	31	could	could	MD
hintze-artificial-2020	127	32	be	be	VB
hintze-artificial-2020	127	33	considered	consider	VBN
hintze-artificial-2020	127	34	learning	learn	VBG
hintze-artificial-2020	127	35	.	.	.
hintze-artificial-2020	128	1	But	but	CC
hintze-artificial-2020	128	2	this	this	DT
hintze-artificial-2020	128	3	feedback	feedback	NN
hintze-artificial-2020	128	4	is	be	VBZ
hintze-artificial-2020	128	5	external	external	JJ
hintze-artificial-2020	128	6	,	,	,
hintze-artificial-2020	128	7	objective	objective	JJ
hintze-artificial-2020	128	8	,	,	,
hintze-artificial-2020	128	9	and	and	CC
hintze-artificial-2020	128	10	not	not	RB
hintze-artificial-2020	128	11	at	at	RB
hintze-artificial-2020	128	12	all	all	RB
hintze-artificial-2020	128	13	similar	similar	JJ
hintze-artificial-2020	128	14	to	to	IN
hintze-artificial-2020	128	15	our	-PRON-	PRP$
hintze-artificial-2020	128	16	prediction	prediction	NN
hintze-artificial-2020	128	17	and	and	CC
hintze-artificial-2020	128	18	comparison	comparison	NN
hintze-artificial-2020	128	19	model	model	NN
hintze-artificial-2020	128	20	that	that	WDT
hintze-artificial-2020	128	21	,	,	,
hintze-artificial-2020	128	22	for	for	IN
hintze-artificial-2020	128	23	instance	instance	NN
hintze-artificial-2020	128	24	,	,	,
hintze-artificial-2020	128	25	operates	operate	VBZ
hintze-artificial-2020	128	26	without	without	IN
hintze-artificial-2020	128	27	an	an	DT
hintze-artificial-2020	128	28	all	all	RB
hintze-artificial-2020	128	29	-	-	HYPH
hintze-artificial-2020	128	30	knowing	know	VBG
hintze-artificial-2020	128	31	oracle	oracle	NN
hintze-artificial-2020	128	32	whispering	whisper	VBG
hintze-artificial-2020	128	33	“	"	``
hintze-artificial-2020	128	34	good	good	JJ
hintze-artificial-2020	128	35	”	"	''
hintze-artificial-2020	128	36	or	or	CC
hintze-artificial-2020	128	37	“	"	``
hintze-artificial-2020	128	38	bad	bad	JJ
hintze-artificial-2020	128	39	”	"	''
hintze-artificial-2020	128	40	into	into	IN
hintze-artificial-2020	128	41	our	-PRON-	PRP$
hintze-artificial-2020	128	42	ears	ear	NNS
hintze-artificial-2020	128	43	.	.	.
hintze-artificial-2020	129	1	Humans	human	NNS
hintze-artificial-2020	129	2	and	and	CC
hintze-artificial-2020	129	3	other	other	JJ
hintze-artificial-2020	129	4	organisms	organism	NNS
hintze-artificial-2020	129	5	instead	instead	RB
hintze-artificial-2020	129	6	compare	compare	VBP
hintze-artificial-2020	129	7	predictions	prediction	NNS
hintze-artificial-2020	129	8	with	with	IN
hintze-artificial-2020	129	9	outcomes	outcome	NNS
hintze-artificial-2020	129	10	,	,	,
hintze-artificial-2020	129	11	and	and	CC
hintze-artificial-2020	129	12	the	the	DT
hintze-artificial-2020	129	13	choices	choice	NNS
hintze-artificial-2020	129	14	are	be	VBP
hintze-artificial-2020	129	15	driven	drive	VBN
hintze-artificial-2020	129	16	by	by	IN
hintze-artificial-2020	129	17	an	an	DT
hintze-artificial-2020	129	18	intersection	intersection	NN
hintze-artificial-2020	129	19	of	of	IN
hintze-artificial-2020	129	20	desire	desire	NN
hintze-artificial-2020	129	21	and	and	CC
hintze-artificial-2020	129	22	prediction	prediction	NN
hintze-artificial-2020	129	23	.	.	.
hintze-artificial-2020	130	1	What	what	WP
hintze-artificial-2020	130	2	seems	seem	VBZ
hintze-artificial-2020	130	3	astonishing	astonishing	JJ
hintze-artificial-2020	130	4	is	be	VBZ
hintze-artificial-2020	130	5	the	the	DT
hintze-artificial-2020	130	6	diverse	diverse	JJ
hintze-artificial-2020	130	7	and	and	CC
hintze-artificial-2020	130	8	specialized	specialized	JJ
hintze-artificial-2020	130	9	capabilities	capability	NNS
hintze-artificial-2020	130	10	that	that	IN
hintze-artificial-2020	130	11	these	these	DT
hintze-artificial-2020	130	12	two	two	CD
hintze-artificial-2020	130	13	rather	rather	RB
hintze-artificial-2020	130	14	simple	simple	JJ
hintze-artificial-2020	130	15	types	type	NNS
hintze-artificial-2020	130	16	of	of	IN
hintze-artificial-2020	130	17	computation	computation	NN
hintze-artificial-2020	130	18	,	,	,
hintze-artificial-2020	130	19	clustering	clustering	NN
hintze-artificial-2020	130	20	and	and	CC
hintze-artificial-2020	130	21	classification	classification	NN
hintze-artificial-2020	130	22	,	,	,
hintze-artificial-2020	130	23	can	can	MD
hintze-artificial-2020	130	24	produce	produce	VB
hintze-artificial-2020	130	25	.	.	.
hintze-artificial-2020	131	1	Their	-PRON-	PRP$
hintze-artificial-2020	131	2	economic	economic	JJ
hintze-artificial-2020	131	3	impact	impact	NN
hintze-artificial-2020	131	4	is	be	VBZ
hintze-artificial-2020	131	5	enormous	enormous	JJ
hintze-artificial-2020	131	6	,	,	,
hintze-artificial-2020	131	7	and	and	CC
hintze-artificial-2020	131	8	we	-PRON-	PRP
hintze-artificial-2020	131	9	are	be	VBP
hintze-artificial-2020	131	10	still	still	RB
hintze-artificial-2020	131	11	finding	find	VBG
hintze-artificial-2020	131	12	new	new	JJ
hintze-artificial-2020	131	13	ways	way	NNS
hintze-artificial-2020	131	14	to	to	TO
hintze-artificial-2020	131	15	combine	combine	VB
hintze-artificial-2020	131	16	neural	neural	JJ
hintze-artificial-2020	131	17	networks	network	NNS
hintze-artificial-2020	131	18	and	and	CC
hintze-artificial-2020	131	19	exploit	exploit	VB
hintze-artificial-2020	131	20	deep	deep	JJ
hintze-artificial-2020	131	21	learning	learning	NN
hintze-artificial-2020	131	22	techniques	technique	NNS
hintze-artificial-2020	131	23	to	to	TO
hintze-artificial-2020	131	24	create	create	VB
hintze-artificial-2020	131	25	amazing	amazing	JJ
hintze-artificial-2020	131	26	data	data	NN
hintze-artificial-2020	131	27	transformations	transformation	NNS
hintze-artificial-2020	131	28	,	,	,
hintze-artificial-2020	131	29	such	such	JJ
hintze-artificial-2020	131	30	as	as	IN
hintze-artificial-2020	131	31	deep	deep	JJ
hintze-artificial-2020	131	32	fake	fake	JJ
hintze-artificial-2020	131	33	videos	video	NNS
hintze-artificial-2020	131	34	.	.	.
hintze-artificial-2020	132	1	But	but	CC
hintze-artificial-2020	132	2	so	so	RB
hintze-artificial-2020	132	3	far	far	RB
hintze-artificial-2020	132	4	,	,	,
hintze-artificial-2020	132	5	each	each	DT
hintze-artificial-2020	132	6	astounding	astounding	JJ
hintze-artificial-2020	132	7	example	example	NN
hintze-artificial-2020	132	8	of	of	IN
hintze-artificial-2020	132	9	AI	AI	NNP
hintze-artificial-2020	132	10	,	,	,
hintze-artificial-2020	132	11	through	through	IN
hintze-artificial-2020	132	12	machine	machine	NN
hintze-artificial-2020	132	13	learning	learning	NN
hintze-artificial-2020	132	14	or	or	CC
hintze-artificial-2020	132	15	some	some	DT
hintze-artificial-2020	132	16	other	other	JJ
hintze-artificial-2020	132	17	method	method	NN
hintze-artificial-2020	132	18	,	,	,
hintze-artificial-2020	132	19	is	be	VBZ
hintze-artificial-2020	132	20	not	not	RB
hintze-artificial-2020	132	21	showcasing	showcase	VBG
hintze-artificial-2020	132	22	all	all	PDT
hintze-artificial-2020	132	23	these	these	DT
hintze-artificial-2020	132	24	capabilities	capability	NNS
hintze-artificial-2020	132	25	as	as	IN
hintze-artificial-2020	132	26	one	one	CD
hintze-artificial-2020	132	27	machine	machine	NN
hintze-artificial-2020	132	28	,	,	,
hintze-artificial-2020	132	29	but	but	CC
hintze-artificial-2020	132	30	instead	instead	RB
hintze-artificial-2020	132	31	each	each	DT
hintze-artificial-2020	132	32	as	as	IN
hintze-artificial-2020	132	33	an	an	DT
hintze-artificial-2020	132	34	independently	independently	RB
hintze-artificial-2020	132	35	achieved	achieve	VBN
hintze-artificial-2020	132	36	computational	computational	JJ
hintze-artificial-2020	132	37	marvel	marvel	NN
hintze-artificial-2020	132	38	.	.	.
hintze-artificial-2020	133	1	Each	each	DT
hintze-artificial-2020	133	2	of	of	IN
hintze-artificial-2020	133	3	these	these	DT
hintze-artificial-2020	133	4	examples	example	NNS
hintze-artificial-2020	133	5	does	do	VBZ
hintze-artificial-2020	133	6	only	only	RB
hintze-artificial-2020	133	7	exactly	exactly	RB
hintze-artificial-2020	133	8	what	what	WP
hintze-artificial-2020	133	9	it	-PRON-	PRP
hintze-artificial-2020	133	10	was	be	VBD
hintze-artificial-2020	133	11	trained	train	VBN
hintze-artificial-2020	133	12	to	to	TO
hintze-artificial-2020	133	13	do	do	VB
hintze-artificial-2020	133	14	in	in	IN
hintze-artificial-2020	133	15	a	a	DT
hintze-artificial-2020	133	16	narrow	narrow	JJ
hintze-artificial-2020	133	17	domain	domain	NN
hintze-artificial-2020	133	18	and	and	CC
hintze-artificial-2020	133	19	no	no	RB
hintze-artificial-2020	133	20	more	more	JJR
hintze-artificial-2020	133	21	.	.	.
hintze-artificial-2020	134	1	Siri	Siri	NNP
hintze-artificial-2020	134	2	,	,	,
hintze-artificial-2020	134	3	or	or	CC
hintze-artificial-2020	134	4	any	any	DT
hintze-artificial-2020	134	5	other	other	JJ
hintze-artificial-2020	134	6	voice	voice	NN
hintze-artificial-2020	134	7	assistant	assistant	NN
hintze-artificial-2020	134	8	for	for	IN
hintze-artificial-2020	134	9	that	that	DT
hintze-artificial-2020	134	10	matter	matter	NN
hintze-artificial-2020	134	11	,	,	,
hintze-artificial-2020	134	12	does	do	VBZ
hintze-artificial-2020	134	13	not	not	RB
hintze-artificial-2020	134	14	drive	drive	VB
hintze-artificial-2020	134	15	a	a	DT
hintze-artificial-2020	134	16	car	car	NN
hintze-artificial-2020	134	17	(	(	-LRB-
hintze-artificial-2020	134	18	López	López	NNP
hintze-artificial-2020	134	19	,	,	,
hintze-artificial-2020	134	20	Quesada	Quesada	NNP
hintze-artificial-2020	134	21	,	,	,
hintze-artificial-2020	134	22	and	and	CC
hintze-artificial-2020	134	23	Guerrero	Guerrero	NNP
hintze-artificial-2020	134	24	2017	2017	CD
hintze-artificial-2020	134	25	)	)	-RRB-
hintze-artificial-2020	134	26	,	,	,
hintze-artificial-2020	134	27	Watson	Watson	NNP
hintze-artificial-2020	134	28	does	do	VBZ
hintze-artificial-2020	134	29	not	not	RB
hintze-artificial-2020	134	30	play	play	VB
hintze-artificial-2020	134	31	chess	chess	NN
hintze-artificial-2020	134	32	(	(	-LRB-
hintze-artificial-2020	134	33	Ferrucci	Ferrucci	NNP
hintze-artificial-2020	134	34	et	et	FW
hintze-artificial-2020	134	35	al	al	NNP
hintze-artificial-2020	134	36	.	.	.
hintze-artificial-2020	135	1	2013	2013	CD
hintze-artificial-2020	135	2	)	)	-RRB-
hintze-artificial-2020	135	3	,	,	,
hintze-artificial-2020	135	4	and	and	CC
hintze-artificial-2020	135	5	Google	Google	NNP
hintze-artificial-2020	135	6	Alpha	Alpha	NNP
hintze-artificial-2020	135	7	Go	Go	NNP
hintze-artificial-2020	135	8	can	can	MD
hintze-artificial-2020	135	9	not	not	RB
hintze-artificial-2020	135	10	understand	understand	VB
hintze-artificial-2020	135	11	spoken	spoken	JJ
hintze-artificial-2020	135	12	language	language	NN
hintze-artificial-2020	135	13	(	(	-LRB-
hintze-artificial-2020	135	14	Gibney	Gibney	NNP
hintze-artificial-2020	135	15	2016	2016	CD
hintze-artificial-2020	135	16	)	)	-RRB-
hintze-artificial-2020	135	17	.	.	.
hintze-artificial-2020	136	1	Even	even	RB
hintze-artificial-2020	136	2	hybrid	hybrid	JJ
hintze-artificial-2020	136	3	approaches	approach	NNS
hintze-artificial-2020	136	4	,	,	,
hintze-artificial-2020	136	5	such	such	JJ
hintze-artificial-2020	136	6	as	as	IN
hintze-artificial-2020	136	7	combining	combine	VBG
hintze-artificial-2020	136	8	speech	speech	NN
hintze-artificial-2020	136	9	recognition	recognition	NN
hintze-artificial-2020	136	10	,	,	,
hintze-artificial-2020	136	11	chess	chess	NN
hintze-artificial-2020	136	12	playing	playing	NN
hintze-artificial-2020	136	13	,	,	,
hintze-artificial-2020	136	14	and	and	CC
hintze-artificial-2020	136	15	autonomous	autonomous	JJ
hintze-artificial-2020	136	16	driving	driving	NN
hintze-artificial-2020	136	17	,	,	,
hintze-artificial-2020	136	18	would	would	MD
hintze-artificial-2020	136	19	only	only	RB
hintze-artificial-2020	136	20	be	be	VB
hintze-artificial-2020	136	21	a	a	DT
hintze-artificial-2020	136	22	combination	combination	NN
hintze-artificial-2020	136	23	of	of	IN
hintze-artificial-2020	136	24	specialty	specialty	NN
hintze-artificial-2020	136	25	strategies	strategy	NNS
hintze-artificial-2020	136	26	,	,	,
hintze-artificial-2020	136	27	not	not	RB
hintze-artificial-2020	136	28	a	a	DT
hintze-artificial-2020	136	29	trained	train	VBN
hintze-artificial-2020	136	30	entity	entity	NN
hintze-artificial-2020	136	31	from	from	IN
hintze-artificial-2020	136	32	the	the	DT
hintze-artificial-2020	136	33	ground	ground	NN
hintze-artificial-2020	136	34	up	up	RP
hintze-artificial-2020	136	35	.	.	.
hintze-artificial-2020	137	1	Modern	modern	JJ
hintze-artificial-2020	137	2	machine	machine	NN
hintze-artificial-2020	137	3	learning	learning	NN
hintze-artificial-2020	137	4	gives	give	VBZ
hintze-artificial-2020	137	5	us	-PRON-	PRP
hintze-artificial-2020	137	6	an	an	DT
hintze-artificial-2020	137	7	amazing	amazing	JJ
hintze-artificial-2020	137	8	collection	collection	NN
hintze-artificial-2020	137	9	of	of	IN
hintze-artificial-2020	137	10	very	very	RB
hintze-artificial-2020	137	11	applicable	applicable	JJ
hintze-artificial-2020	137	12	,	,	,
hintze-artificial-2020	137	13	but	but	CC
hintze-artificial-2020	137	14	extremely	extremely	RB
hintze-artificial-2020	137	15	specialized	specialized	JJ
hintze-artificial-2020	137	16	,	,	,
hintze-artificial-2020	137	17	computational	computational	JJ
hintze-artificial-2020	137	18	tools	tool	NNS
hintze-artificial-2020	137	19	that	that	WDT
hintze-artificial-2020	137	20	may	may	MD
hintze-artificial-2020	137	21	be	be	VB
hintze-artificial-2020	137	22	customized	customize	VBN
hintze-artificial-2020	137	23	to	to	IN
hintze-artificial-2020	137	24	particular	particular	JJ
hintze-artificial-2020	137	25	data	data	NN
hintze-artificial-2020	137	26	sets	set	NNS
hintze-artificial-2020	137	27	,	,	,
hintze-artificial-2020	137	28	but	but	CC
hintze-artificial-2020	137	29	the	the	DT
hintze-artificial-2020	137	30	resulting	result	VBG
hintze-artificial-2020	137	31	machines	machine	NNS
hintze-artificial-2020	137	32	do	do	VBP
hintze-artificial-2020	137	33	not	not	RB
hintze-artificial-2020	137	34	learn	learn	VB
hintze-artificial-2020	137	35	autonomously	autonomously	RB
hintze-artificial-2020	137	36	as	as	IN
hintze-artificial-2020	137	37	you	-PRON-	PRP
hintze-artificial-2020	137	38	or	or	CC
hintze-artificial-2020	137	39	I	-PRON-	PRP
hintze-artificial-2020	137	40	do	do	VBP
hintze-artificial-2020	137	41	.	.	.
hintze-artificial-2020	138	1	There	there	EX
hintze-artificial-2020	138	2	are	be	VBP
hintze-artificial-2020	138	3	cutting	cut	VBG
hintze-artificial-2020	138	4	edge	edge	NN
hintze-artificial-2020	138	5	technologies	technology	NNS
hintze-artificial-2020	138	6	,	,	,
hintze-artificial-2020	138	7	such	such	JJ
hintze-artificial-2020	138	8	as	as	IN
hintze-artificial-2020	138	9	so	so	RB
hintze-artificial-2020	138	10	-	-	HYPH
hintze-artificial-2020	138	11	called	call	VBN
hintze-artificial-2020	138	12	neuromorphic	neuromorphic	JJ
hintze-artificial-2020	138	13	chips	chip	NNS
hintze-artificial-2020	138	14	(	(	-LRB-
hintze-artificial-2020	138	15	Nawrocki	Nawrocki	NNP
hintze-artificial-2020	138	16	,	,	,
hintze-artificial-2020	138	17	Voyles	Voyles	NNP
hintze-artificial-2020	138	18	,	,	,
hintze-artificial-2020	138	19	and	and	CC
hintze-artificial-2020	138	20	Shaheen	Shaheen	NNP
hintze-artificial-2020	138	21	2016	2016	CD
hintze-artificial-2020	138	22	)	)	-RRB-
hintze-artificial-2020	138	23	and	and	CC
hintze-artificial-2020	138	24	other	other	JJ
hintze-artificial-2020	138	25	computational	computational	JJ
hintze-artificial-2020	138	26	brain	brain	NN
hintze-artificial-2020	138	27	models	model	NNS
hintze-artificial-2020	138	28	that	that	WDT
hintze-artificial-2020	138	29	more	more	RBR
hintze-artificial-2020	138	30	closely	closely	RB
hintze-artificial-2020	138	31	mimic	mimic	JJ
hintze-artificial-2020	138	32	brain	brain	NN
hintze-artificial-2020	138	33	function	function	NN
hintze-artificial-2020	138	34	,	,	,
hintze-artificial-2020	138	35	but	but	CC
hintze-artificial-2020	138	36	they	-PRON-	PRP
hintze-artificial-2020	138	37	are	be	VBP
hintze-artificial-2020	138	38	not	not	RB
hintze-artificial-2020	138	39	what	what	WP
hintze-artificial-2020	138	40	has	have	VBZ
hintze-artificial-2020	138	41	been	be	VBN
hintze-artificial-2020	138	42	sensationalized	sensationalize	VBN
hintze-artificial-2020	138	43	in	in	IN
hintze-artificial-2020	138	44	the	the	DT
hintze-artificial-2020	138	45	media	medium	NNS
hintze-artificial-2020	138	46	as	as	IN
hintze-artificial-2020	138	47	machine	machine	NN
hintze-artificial-2020	138	48	learning	learning	NN
hintze-artificial-2020	138	49	or	or	CC
hintze-artificial-2020	138	50	AI	AI	NNP
hintze-artificial-2020	138	51	,	,	,
hintze-artificial-2020	138	52	and	and	CC
hintze-artificial-2020	138	53	they	-PRON-	PRP
hintze-artificial-2020	138	54	have	have	VBP
hintze-artificial-2020	138	55	yet	yet	RB
hintze-artificial-2020	138	56	to	to	TO
hintze-artificial-2020	138	57	showcase	showcase	VB
hintze-artificial-2020	138	58	competence	competence	NN
hintze-artificial-2020	138	59	on	on	IN
hintze-artificial-2020	138	60	difficult	difficult	JJ
hintze-artificial-2020	138	61	problems	problem	NNS
hintze-artificial-2020	138	62	competitive	competitive	JJ
hintze-artificial-2020	138	63	with	with	IN
hintze-artificial-2020	138	64	standard	standard	JJ
hintze-artificial-2020	138	65	supervised	supervise	VBN
hintze-artificial-2020	138	66	learning	learning	NN
hintze-artificial-2020	138	67	.	.	.
hintze-artificial-2020	139	1	Curiously	curiously	RB
hintze-artificial-2020	139	2	,	,	,
hintze-artificial-2020	139	3	many	many	JJ
hintze-artificial-2020	139	4	people	people	NNS
hintze-artificial-2020	139	5	in	in	IN
hintze-artificial-2020	139	6	the	the	DT
hintze-artificial-2020	139	7	machine	machine	NN
hintze-artificial-2020	139	8	learning	learning	NN
hintze-artificial-2020	139	9	community	community	NN
hintze-artificial-2020	139	10	defend	defend	VBP
hintze-artificial-2020	139	11	the	the	DT
hintze-artificial-2020	139	12	term	term	NN
hintze-artificial-2020	139	13	“	"	``
hintze-artificial-2020	139	14	learning	learning	NN
hintze-artificial-2020	139	15	,	,	,
hintze-artificial-2020	139	16	”	"	''
hintze-artificial-2020	139	17	arguing	argue	VBG
hintze-artificial-2020	139	18	there	there	EX
hintze-artificial-2020	139	19	is	be	VBZ
hintze-artificial-2020	139	20	no	no	DT
hintze-artificial-2020	139	21	difference	difference	NN
hintze-artificial-2020	139	22	between	between	IN
hintze-artificial-2020	139	23	learning	learning	NN
hintze-artificial-2020	139	24	and	and	CC
hintze-artificial-2020	139	25	training	training	NN
hintze-artificial-2020	139	26	.	.	.
hintze-artificial-2020	140	1	In	in	IN
hintze-artificial-2020	140	2	traditional	traditional	JJ
hintze-artificial-2020	140	3	machine	machine	NN
hintze-artificial-2020	140	4	learning	learning	NN
hintze-artificial-2020	140	5	,	,	,
hintze-artificial-2020	140	6	the	the	DT
hintze-artificial-2020	140	7	trained	trained	JJ
hintze-artificial-2020	140	8	algorithm	algorithm	NNP
hintze-artificial-2020	140	9	is	be	VBZ
hintze-artificial-2020	140	10	deployed	deploy	VBN
hintze-artificial-2020	140	11	as	as	IN
hintze-artificial-2020	140	12	a	a	DT
hintze-artificial-2020	140	13	service	service	NN
hintze-artificial-2020	140	14	after	after	IN
hintze-artificial-2020	140	15	which	which	WDT
hintze-artificial-2020	140	16	it	-PRON-	PRP
hintze-artificial-2020	140	17	no	no	RB
hintze-artificial-2020	140	18	longer	long	RBR
hintze-artificial-2020	140	19	improves	improve	VBZ
hintze-artificial-2020	140	20	.	.	.
hintze-artificial-2020	141	1	If	if	IN
hintze-artificial-2020	141	2	the	the	DT
hintze-artificial-2020	141	3	data	datum	NNS
hintze-artificial-2020	141	4	set	set	VBD
hintze-artificial-2020	141	5	ever	ever	RB
hintze-artificial-2020	141	6	changes	change	NNS
hintze-artificial-2020	141	7	,	,	,
hintze-artificial-2020	141	8	then	then	RB
hintze-artificial-2020	141	9	a	a	DT
hintze-artificial-2020	141	10	new	new	JJ
hintze-artificial-2020	141	11	training	training	NN
hintze-artificial-2020	141	12	set	set	NN
hintze-artificial-2020	141	13	including	include	VBG
hintze-artificial-2020	141	14	correct	correct	JJ
hintze-artificial-2020	141	15	labels	label	NNS
hintze-artificial-2020	141	16	needs	need	VBZ
hintze-artificial-2020	141	17	to	to	TO
hintze-artificial-2020	141	18	be	be	VB
hintze-artificial-2020	141	19	generated	generate	VBN
hintze-artificial-2020	141	20	and	and	CC
hintze-artificial-2020	141	21	a	a	DT
hintze-artificial-2020	141	22	new	new	JJ
hintze-artificial-2020	141	23	training	training	NN
hintze-artificial-2020	141	24	phase	phase	NN
hintze-artificial-2020	141	25	initiated	initiate	VBD
hintze-artificial-2020	141	26	.	.	.
hintze-artificial-2020	142	1	However	however	RB
hintze-artificial-2020	142	2	,	,	,
hintze-artificial-2020	142	3	if	if	IN
hintze-artificial-2020	142	4	the	the	DT
hintze-artificial-2020	142	5	teacher	teacher	NN
hintze-artificial-2020	142	6	can	can	MD
hintze-artificial-2020	142	7	be	be	VB
hintze-artificial-2020	142	8	forever	forever	RB
hintze-artificial-2020	142	9	bundled	bundle	VBN
hintze-artificial-2020	142	10	with	with	IN
hintze-artificial-2020	142	11	the	the	DT
hintze-artificial-2020	142	12	learner	learner	NN
hintze-artificial-2020	142	13	and	and	CC
hintze-artificial-2020	142	14	training	training	NN
hintze-artificial-2020	142	15	continued	continue	VBD
hintze-artificial-2020	142	16	during	during	IN
hintze-artificial-2020	142	17	the	the	DT
hintze-artificial-2020	142	18	deployment	deployment	NN
hintze-artificial-2020	142	19	phase	phase	NN
hintze-artificial-2020	142	20	,	,	,
hintze-artificial-2020	142	21	even	even	RB
hintze-artificial-2020	142	22	on	on	IN
hintze-artificial-2020	142	23	new	new	JJ
hintze-artificial-2020	142	24	never	never	RB
hintze-artificial-2020	142	25	-	-	HYPH
hintze-artificial-2020	142	26	before	before	RB
hintze-artificial-2020	142	27	-	-	HYPH
hintze-artificial-2020	142	28	seen	see	VBN
hintze-artificial-2020	142	29	data	datum	NNS
hintze-artificial-2020	142	30	,	,	,
hintze-artificial-2020	142	31	then	then	RB
hintze-artificial-2020	142	32	indeed	indeed	RB
hintze-artificial-2020	142	33	the	the	DT
hintze-artificial-2020	142	34	delineation	delineation	NN
hintze-artificial-2020	142	35	between	between	IN
hintze-artificial-2020	142	36	learning	learning	NN
hintze-artificial-2020	142	37	and	and	CC
hintze-artificial-2020	142	38	training	training	NN
hintze-artificial-2020	142	39	is	be	VBZ
hintze-artificial-2020	142	40	far	far	RB
hintze-artificial-2020	142	41	less	less	RBR
hintze-artificial-2020	142	42	clear	clear	JJ
hintze-artificial-2020	142	43	.	.	.
hintze-artificial-2020	143	1	Approaches	approach	NNS
hintze-artificial-2020	143	2	to	to	IN
hintze-artificial-2020	143	3	such	such	JJ
hintze-artificial-2020	143	4	lifelong	lifelong	JJ
hintze-artificial-2020	143	5	learning	learning	NN
hintze-artificial-2020	143	6	exist	exist	VBP
hintze-artificial-2020	143	7	,	,	,
hintze-artificial-2020	143	8	but	but	CC
hintze-artificial-2020	143	9	they	-PRON-	PRP
hintze-artificial-2020	143	10	struggle	struggle	VBP
hintze-artificial-2020	143	11	with	with	IN
hintze-artificial-2020	143	12	what	what	WP
hintze-artificial-2020	143	13	is	be	VBZ
hintze-artificial-2020	143	14	called	call	VBN
hintze-artificial-2020	143	15	catastrophic	catastrophic	JJ
hintze-artificial-2020	143	16	forgetting	forget	VBG
hintze-artificial-2020	143	17	-	-	:
hintze-artificial-2020	143	18	the	the	DT
hintze-artificial-2020	143	19	phenomenon	phenomenon	NN
hintze-artificial-2020	143	20	that	that	WDT
hintze-artificial-2020	143	21	only	only	RB
hintze-artificial-2020	143	22	the	the	DT
hintze-artificial-2020	143	23	most	most	RBS
hintze-artificial-2020	143	24	recent	recent	JJ
hintze-artificial-2020	143	25	experiences	experience	NNS
hintze-artificial-2020	143	26	are	be	VBP
hintze-artificial-2020	143	27	learned	learn	VBN
hintze-artificial-2020	143	28	at	at	IN
hintze-artificial-2020	143	29	the	the	DT
hintze-artificial-2020	143	30	expense	expense	NN
hintze-artificial-2020	143	31	of	of	IN
hintze-artificial-2020	143	32	older	old	JJR
hintze-artificial-2020	143	33	ones	one	NNS
hintze-artificial-2020	143	34	(	(	-LRB-
hintze-artificial-2020	143	35	French	French	NNP
hintze-artificial-2020	143	36	1999	1999	CD
hintze-artificial-2020	143	37	)	)	-RRB-
hintze-artificial-2020	143	38	.	.	.
hintze-artificial-2020	144	1	This	this	DT
hintze-artificial-2020	144	2	is	be	VBZ
hintze-artificial-2020	144	3	the	the	DT
hintze-artificial-2020	144	4	objective	objective	NN
hintze-artificial-2020	144	5	for	for	IN
hintze-artificial-2020	144	6	Continuous	continuous	JJ
hintze-artificial-2020	144	7	Delivery	Delivery	NNP
hintze-artificial-2020	144	8	for	for	IN
hintze-artificial-2020	144	9	machine	machine	NN
hintze-artificial-2020	144	10	learning	learning	NN
hintze-artificial-2020	144	11	.	.	.
hintze-artificial-2020	145	1	Unfortunately	unfortunately	RB
hintze-artificial-2020	145	2	,	,	,
hintze-artificial-2020	145	3	creating	create	VBG
hintze-artificial-2020	145	4	a	a	DT
hintze-artificial-2020	145	5	new	new	JJ
hintze-artificial-2020	145	6	training	training	NN
hintze-artificial-2020	145	7	set	set	NN
hintze-artificial-2020	145	8	is	be	VBZ
hintze-artificial-2020	145	9	typically	typically	RB
hintze-artificial-2020	145	10	the	the	DT
hintze-artificial-2020	145	11	most	most	RBS
hintze-artificial-2020	145	12	expensive	expensive	JJ
hintze-artificial-2020	145	13	endeavor	endeavor	NN
hintze-artificial-2020	145	14	for	for	IN
hintze-artificial-2020	145	15	standard	standard	JJ
hintze-artificial-2020	145	16	supervised	supervised	JJ
hintze-artificial-2020	145	17	machine	machine	NN
hintze-artificial-2020	145	18	learning	learning	NN
hintze-artificial-2020	145	19	development	development	NN
hintze-artificial-2020	145	20	.	.	.
hintze-artificial-2020	146	1	Adequate	adequate	JJ
hintze-artificial-2020	146	2	training	training	NN
hintze-artificial-2020	146	3	then	then	RB
hintze-artificial-2020	146	4	becomes	become	VBZ
hintze-artificial-2020	146	5	difficult	difficult	JJ
hintze-artificial-2020	146	6	or	or	CC
hintze-artificial-2020	146	7	impossible	impossible	JJ
hintze-artificial-2020	146	8	without	without	IN
hintze-artificial-2020	146	9	involving	involve	VBG
hintze-artificial-2020	146	10	thousands	thousand	NNS
hintze-artificial-2020	146	11	or	or	CC
hintze-artificial-2020	146	12	millions	million	NNS
hintze-artificial-2020	146	13	of	of	IN
hintze-artificial-2020	146	14	human	human	JJ
hintze-artificial-2020	146	15	inputs	input	NNS
hintze-artificial-2020	146	16	to	to	TO
hintze-artificial-2020	146	17	keep	keep	VB
hintze-artificial-2020	146	18	up	up	RP
hintze-artificial-2020	146	19	with	with	IN
hintze-artificial-2020	146	20	training	training	NN
hintze-artificial-2020	146	21	and	and	CC
hintze-artificial-2020	146	22	using	use	VBG
hintze-artificial-2020	146	23	the	the	DT
hintze-artificial-2020	146	24	online	online	JJ
hintze-artificial-2020	146	25	machine	machine	NN
hintze-artificial-2020	146	26	on	on	IN
hintze-artificial-2020	146	27	an	an	DT
hintze-artificial-2020	146	28	ever	ever	RB
hintze-artificial-2020	146	29	-	-	HYPH
hintze-artificial-2020	146	30	evolving	evolve	VBG
hintze-artificial-2020	146	31	data	data	NN
hintze-artificial-2020	146	32	set	set	NN
hintze-artificial-2020	146	33	.	.	.
hintze-artificial-2020	147	1	Some	some	DT
hintze-artificial-2020	147	2	have	have	VBP
hintze-artificial-2020	147	3	tried	try	VBN
hintze-artificial-2020	147	4	to	to	TO
hintze-artificial-2020	147	5	use	use	VB
hintze-artificial-2020	147	6	such	such	JJ
hintze-artificial-2020	147	7	“	"	``
hintze-artificial-2020	147	8	human	human	NN
hintze-artificial-2020	147	9	-	-	HYPH
hintze-artificial-2020	147	10	in	in	IN
hintze-artificial-2020	147	11	-	-	HYPH
hintze-artificial-2020	147	12	the	the	DT
hintze-artificial-2020	147	13	-	-	HYPH
hintze-artificial-2020	147	14	loop	loop	NN
hintze-artificial-2020	147	15	”	"	''
hintze-artificial-2020	147	16	methods	method	NNS
hintze-artificial-2020	147	17	,	,	,
hintze-artificial-2020	147	18	but	but	CC
hintze-artificial-2020	147	19	the	the	DT
hintze-artificial-2020	147	20	resulting	result	VBG
hintze-artificial-2020	147	21	machine	machine	NN
hintze-artificial-2020	147	22	then	then	RB
hintze-artificial-2020	147	23	becomes	become	VBZ
hintze-artificial-2020	147	24	only	only	RB
hintze-artificial-2020	147	25	a	a	DT
hintze-artificial-2020	147	26	slight	slight	JJ
hintze-artificial-2020	147	27	extension	extension	NN
hintze-artificial-2020	147	28	of	of	IN
hintze-artificial-2020	147	29	the	the	DT
hintze-artificial-2020	147	30	humans	human	NNS
hintze-artificial-2020	147	31	who	who	WP
hintze-artificial-2020	147	32	are	be	VBP
hintze-artificial-2020	147	33	forever	forever	RB
hintze-artificial-2020	147	34	caught	catch	VBN
hintze-artificial-2020	147	35	in	in	IN
hintze-artificial-2020	147	36	the	the	DT
hintze-artificial-2020	147	37	loop	loop	NN
hintze-artificial-2020	147	38	.	.	.
hintze-artificial-2020	148	1	Is	be	VBZ
hintze-artificial-2020	148	2	it	-PRON-	PRP
hintze-artificial-2020	148	3	an	an	DT
hintze-artificial-2020	148	4	intelligent	intelligent	JJ
hintze-artificial-2020	148	5	machine	machine	NN
hintze-artificial-2020	148	6	,	,	,
hintze-artificial-2020	148	7	or	or	CC
hintze-artificial-2020	148	8	a	a	DT
hintze-artificial-2020	148	9	human	human	JJ
hintze-artificial-2020	148	10	trapped	trap	VBN
hintze-artificial-2020	148	11	in	in	IN
hintze-artificial-2020	148	12	a	a	DT
hintze-artificial-2020	148	13	machine	machine	NN
hintze-artificial-2020	148	14	?	?	.
hintze-artificial-2020	149	1	To	to	TO
hintze-artificial-2020	149	2	combat	combat	VB
hintze-artificial-2020	149	3	this	this	DT
hintze-artificial-2020	149	4	problem	problem	NN
hintze-artificial-2020	149	5	of	of	IN
hintze-artificial-2020	149	6	generating	generate	VBG
hintze-artificial-2020	149	7	the	the	DT
hintze-artificial-2020	149	8	training	training	NN
hintze-artificial-2020	149	9	set	set	NN
hintze-artificial-2020	149	10	,	,	,
hintze-artificial-2020	149	11	researchers	researcher	NNS
hintze-artificial-2020	149	12	altered	alter	VBD
hintze-artificial-2020	149	13	the	the	DT
hintze-artificial-2020	149	14	standard	standard	JJ
hintze-artificial-2020	149	15	supervised	supervise	VBN
hintze-artificial-2020	149	16	learning	learn	VBG
hintze-artificial-2020	149	17	paradigm	paradigm	NN
hintze-artificial-2020	149	18	of	of	IN
hintze-artificial-2020	149	19	flexible	flexible	JJ
hintze-artificial-2020	149	20	learner	learner	NN
hintze-artificial-2020	149	21	and	and	CC
hintze-artificial-2020	149	22	rigid	rigid	JJ
hintze-artificial-2020	149	23	teacher	teacher	NN
hintze-artificial-2020	149	24	to	to	TO
hintze-artificial-2020	149	25	make	make	VB
hintze-artificial-2020	149	26	the	the	DT
hintze-artificial-2020	149	27	teacher	teacher	NN
hintze-artificial-2020	149	28	likewise	likewise	RB
hintze-artificial-2020	149	29	flexible	flexible	JJ
hintze-artificial-2020	149	30	to	to	TO
hintze-artificial-2020	149	31	generate	generate	VB
hintze-artificial-2020	149	32	new	new	JJ
hintze-artificial-2020	149	33	data	datum	NNS
hintze-artificial-2020	149	34	,	,	,
hintze-artificial-2020	149	35	continually	continually	RB
hintze-artificial-2020	149	36	probing	probe	VBG
hintze-artificial-2020	149	37	the	the	DT
hintze-artificial-2020	149	38	bounds	bound	NNS
hintze-artificial-2020	149	39	of	of	IN
hintze-artificial-2020	149	40	the	the	DT
hintze-artificial-2020	149	41	student	student	NN
hintze-artificial-2020	149	42	machine	machine	NN
hintze-artificial-2020	149	43	.	.	.
hintze-artificial-2020	150	1	This	this	DT
hintze-artificial-2020	150	2	is	be	VBZ
hintze-artificial-2020	150	3	the	the	DT
hintze-artificial-2020	150	4	method	method	NN
hintze-artificial-2020	150	5	of	of	IN
hintze-artificial-2020	150	6	Generative	Generative	NNP
hintze-artificial-2020	150	7	Adversarial	Adversarial	NNP
hintze-artificial-2020	150	8	Networks	Networks	NNPS
hintze-artificial-2020	150	9	,	,	,
hintze-artificial-2020	150	10	or	or	CC
hintze-artificial-2020	150	11	GANs	gan	NNS
hintze-artificial-2020	150	12	(	(	-LRB-
hintze-artificial-2020	150	13	Goodfellow	Goodfellow	NNP
hintze-artificial-2020	150	14	et	et	NNP
hintze-artificial-2020	150	15	al	al	NNP
hintze-artificial-2020	150	16	.	.	.
hintze-artificial-2020	151	1	2014	2014	CD
hintze-artificial-2020	151	2	)	)	-RRB-
hintze-artificial-2020	151	3	.	.	.
hintze-artificial-2020	152	1	The	the	DT
hintze-artificial-2020	152	2	teacher	teacher	NN
hintze-artificial-2020	152	3	generates	generate	VBZ
hintze-artificial-2020	152	4	training	training	NN
hintze-artificial-2020	152	5	examples	example	NNS
hintze-artificial-2020	152	6	and	and	CC
hintze-artificial-2020	152	7	the	the	DT
hintze-artificial-2020	152	8	student	student	NN
hintze-artificial-2020	152	9	discerns	discern	NNS
hintze-artificial-2020	152	10	between	between	IN
hintze-artificial-2020	152	11	those	those	DT
hintze-artificial-2020	152	12	generated	generate	VBN
hintze-artificial-2020	152	13	examples	example	NNS
hintze-artificial-2020	152	14	and	and	CC
hintze-artificial-2020	152	15	the	the	DT
hintze-artificial-2020	152	16	original	original	JJ
hintze-artificial-2020	152	17	labeled	labeled	JJ
hintze-artificial-2020	152	18	training	training	NN
hintze-artificial-2020	152	19	data	datum	NNS
hintze-artificial-2020	152	20	.	.	.
hintze-artificial-2020	153	1	After	after	IN
hintze-artificial-2020	153	2	many	many	JJ
hintze-artificial-2020	153	3	iterations	iteration	NNS
hintze-artificial-2020	153	4	,	,	,
hintze-artificial-2020	153	5	the	the	DT
hintze-artificial-2020	153	6	teacher	teacher	NN
hintze-artificial-2020	153	7	is	be	VBZ
hintze-artificial-2020	153	8	improved	improve	VBN
hintze-artificial-2020	153	9	to	to	TO
hintze-artificial-2020	153	10	better	well	RBR
hintze-artificial-2020	153	11	fool	fool	VB
hintze-artificial-2020	153	12	the	the	DT
hintze-artificial-2020	153	13	student	student	NN
hintze-artificial-2020	153	14	,	,	,
hintze-artificial-2020	153	15	and	and	CC
hintze-artificial-2020	153	16	the	the	DT
hintze-artificial-2020	153	17	student	student	NN
hintze-artificial-2020	153	18	is	be	VBZ
hintze-artificial-2020	153	19	improved	improve	VBN
hintze-artificial-2020	153	20	to	to	IN
hintze-artificial-2020	153	21	better	well	RBR
hintze-artificial-2020	153	22	discern	discern	NN
hintze-artificial-2020	153	23	generated	generate	VBN
hintze-artificial-2020	153	24	training	training	NN
hintze-artificial-2020	153	25	data	datum	NNS
hintze-artificial-2020	153	26	.	.	.
hintze-artificial-2020	154	1	As	as	RB
hintze-artificial-2020	154	2	amazing	amazing	JJ
hintze-artificial-2020	154	3	as	as	IN
hintze-artificial-2020	154	4	they	-PRON-	PRP
hintze-artificial-2020	154	5	are	be	VBP
hintze-artificial-2020	154	6	,	,	,
hintze-artificial-2020	154	7	GANs	gan	NNS
hintze-artificial-2020	154	8	only	only	RB
hintze-artificial-2020	154	9	partially	partially	RB
hintze-artificial-2020	154	10	mitigate	mitigate	VBP
hintze-artificial-2020	154	11	the	the	DT
hintze-artificial-2020	154	12	problematic	problematic	JJ
hintze-artificial-2020	154	13	requirement	requirement	NN
hintze-artificial-2020	154	14	for	for	IN
hintze-artificial-2020	154	15	human	human	NN
hintze-artificial-2020	154	16	-	-	HYPH
hintze-artificial-2020	154	17	labeled	label	VBN
hintze-artificial-2020	154	18	training	training	NN
hintze-artificial-2020	154	19	data	datum	NNS
hintze-artificial-2020	154	20	,	,	,
hintze-artificial-2020	154	21	because	because	IN
hintze-artificial-2020	154	22	GANs	gan	NNS
hintze-artificial-2020	154	23	can	can	MD
hintze-artificial-2020	154	24	only	only	RB
hintze-artificial-2020	154	25	mimic	mimic	VB
hintze-artificial-2020	154	26	a	a	DT
hintze-artificial-2020	154	27	known	know	VBN
hintze-artificial-2020	154	28	labeled	labeled	JJ
hintze-artificial-2020	154	29	distribution	distribution	NN
hintze-artificial-2020	154	30	.	.	.
hintze-artificial-2020	155	1	If	if	IN
hintze-artificial-2020	155	2	that	that	DT
hintze-artificial-2020	155	3	distribution	distribution	NN
hintze-artificial-2020	155	4	ever	ever	RB
hintze-artificial-2020	155	5	changes	change	VBZ
hintze-artificial-2020	155	6	,	,	,
hintze-artificial-2020	155	7	then	then	RB
hintze-artificial-2020	155	8	new	new	JJ
hintze-artificial-2020	155	9	labeled	label	VBN
hintze-artificial-2020	155	10	data	datum	NNS
hintze-artificial-2020	155	11	must	must	MD
hintze-artificial-2020	155	12	be	be	VB
hintze-artificial-2020	155	13	generated	generate	VBN
hintze-artificial-2020	155	14	,	,	,
hintze-artificial-2020	155	15	and	and	CC
hintze-artificial-2020	155	16	again	again	RB
hintze-artificial-2020	155	17	we	-PRON-	PRP
hintze-artificial-2020	155	18	have	have	VBP
hintze-artificial-2020	155	19	the	the	DT
hintze-artificial-2020	155	20	same	same	JJ
hintze-artificial-2020	155	21	problem	problem	NN
hintze-artificial-2020	155	22	as	as	IN
hintze-artificial-2020	155	23	before	before	RB
hintze-artificial-2020	155	24	.	.	.
hintze-artificial-2020	156	1	Unfortunately	unfortunately	RB
hintze-artificial-2020	156	2	,	,	,
hintze-artificial-2020	156	3	GANs	gan	NNS
hintze-artificial-2020	156	4	have	have	VBP
hintze-artificial-2020	156	5	been	be	VBN
hintze-artificial-2020	156	6	sensationalized	sensationalize	VBN
hintze-artificial-2020	156	7	as	as	IN
hintze-artificial-2020	156	8	magic	magic	NN
hintze-artificial-2020	156	9	,	,	,
hintze-artificial-2020	156	10	and	and	CC
hintze-artificial-2020	156	11	public	public	JJ
hintze-artificial-2020	156	12	and	and	CC
hintze-artificial-2020	156	13	hobbyist	hobbyist	JJ
hintze-artificial-2020	156	14	expectation	expectation	NN
hintze-artificial-2020	156	15	is	be	VBZ
hintze-artificial-2020	156	16	that	that	IN
hintze-artificial-2020	156	17	GANs	gan	NNS
hintze-artificial-2020	156	18	are	be	VBP
hintze-artificial-2020	156	19	a	a	DT
hintze-artificial-2020	156	20	way	way	NN
hintze-artificial-2020	156	21	toward	toward	IN
hintze-artificial-2020	156	22	much	much	RB
hintze-artificial-2020	156	23	better	well	JJR
hintze-artificial-2020	156	24	artificial	artificial	JJ
hintze-artificial-2020	156	25	intelligence	intelligence	NN
hintze-artificial-2020	156	26	.	.	.
hintze-artificial-2020	157	1	Disappointment	disappointment	NN
hintze-artificial-2020	157	2	is	be	VBZ
hintze-artificial-2020	157	3	inevitable	inevitable	JJ
hintze-artificial-2020	157	4	because	because	IN
hintze-artificial-2020	157	5	GANs	gan	NNS
hintze-artificial-2020	157	6	only	only	RB
hintze-artificial-2020	157	7	allow	allow	VBP
hintze-artificial-2020	157	8	us	-PRON-	PRP
hintze-artificial-2020	157	9	to	to	TO
hintze-artificial-2020	157	10	explore	explore	VB
hintze-artificial-2020	157	11	what	what	WP
hintze-artificial-2020	157	12	it	-PRON-	PRP
hintze-artificial-2020	157	13	would	would	MD
hintze-artificial-2020	157	14	be	be	VB
hintze-artificial-2020	157	15	like	like	IN
hintze-artificial-2020	157	16	to	to	TO
hintze-artificial-2020	157	17	have	have	VB
hintze-artificial-2020	157	18	more	more	JJR
hintze-artificial-2020	157	19	training	training	NN
hintze-artificial-2020	157	20	data	datum	NNS
hintze-artificial-2020	157	21	from	from	IN
hintze-artificial-2020	157	22	the	the	DT
hintze-artificial-2020	157	23	same	same	JJ
hintze-artificial-2020	157	24	data	data	NN
hintze-artificial-2020	157	25	sets	set	NNS
hintze-artificial-2020	157	26	we	-PRON-	PRP
hintze-artificial-2020	157	27	were	be	VBD
hintze-artificial-2020	157	28	using	use	VBG
hintze-artificial-2020	157	29	before	before	RB
hintze-artificial-2020	157	30	.	.	.
hintze-artificial-2020	158	1	These	these	DT
hintze-artificial-2020	158	2	expectations	expectation	NNS
hintze-artificial-2020	158	3	are	be	VBP
hintze-artificial-2020	158	4	important	important	JJ
hintze-artificial-2020	158	5	for	for	IN
hintze-artificial-2020	158	6	machine	machine	NN
hintze-artificial-2020	158	7	learning	learning	NN
hintze-artificial-2020	158	8	and	and	CC
hintze-artificial-2020	158	9	AI	AI	NNP
hintze-artificial-2020	158	10	.	.	.
hintze-artificial-2020	159	1	We	-PRON-	PRP
hintze-artificial-2020	159	2	are	be	VBP
hintze-artificial-2020	159	3	very	very	RB
hintze-artificial-2020	159	4	familiar	familiar	JJ
hintze-artificial-2020	159	5	with	with	IN
hintze-artificial-2020	159	6	learning	learning	NN
hintze-artificial-2020	159	7	,	,	,
hintze-artificial-2020	159	8	to	to	IN
hintze-artificial-2020	159	9	the	the	DT
hintze-artificial-2020	159	10	point	point	NN
hintze-artificial-2020	159	11	where	where	WRB
hintze-artificial-2020	159	12	our	-PRON-	PRP$
hintze-artificial-2020	159	13	whole	whole	JJ
hintze-artificial-2020	159	14	identity	identity	NN
hintze-artificial-2020	159	15	as	as	IN
hintze-artificial-2020	159	16	human	human	NN
hintze-artificial-2020	159	17	could	could	MD
hintze-artificial-2020	159	18	be	be	VB
hintze-artificial-2020	159	19	generously	generously	RB
hintze-artificial-2020	159	20	defined	define	VBN
hintze-artificial-2020	159	21	as	as	IN
hintze-artificial-2020	159	22	the	the	DT
hintze-artificial-2020	159	23	result	result	NN
hintze-artificial-2020	159	24	of	of	IN
hintze-artificial-2020	159	25	being	be	VBG
hintze-artificial-2020	159	26	a	a	DT
hintze-artificial-2020	159	27	monkey	monkey	NN
hintze-artificial-2020	159	28	with	with	IN
hintze-artificial-2020	159	29	an	an	DT
hintze-artificial-2020	159	30	exceptional	exceptional	JJ
hintze-artificial-2020	159	31	proclivity	proclivity	NN
hintze-artificial-2020	159	32	for	for	IN
hintze-artificial-2020	159	33	learning	learn	VBG
hintze-artificial-2020	159	34	.	.	.
hintze-artificial-2020	160	1	If	if	IN
hintze-artificial-2020	160	2	we	-PRON-	PRP
hintze-artificial-2020	160	3	now	now	RB
hintze-artificial-2020	160	4	approach	approach	VBP
hintze-artificial-2020	160	5	AI	AI	NNP
hintze-artificial-2020	160	6	and	and	CC
hintze-artificial-2020	160	7	machine	machine	NN
hintze-artificial-2020	160	8	learning	learn	VBG
hintze-artificial-2020	160	9	with	with	IN
hintze-artificial-2020	160	10	expectations	expectation	NNS
hintze-artificial-2020	160	11	that	that	IN
hintze-artificial-2020	160	12	these	these	DT
hintze-artificial-2020	160	13	technologies	technology	NNS
hintze-artificial-2020	160	14	learn	learn	VBP
hintze-artificial-2020	160	15	as	as	IN
hintze-artificial-2020	160	16	we	-PRON-	PRP
hintze-artificial-2020	160	17	do	do	VBP
hintze-artificial-2020	160	18	,	,	,
hintze-artificial-2020	160	19	or	or	CC
hintze-artificial-2020	160	20	are	be	VBP
hintze-artificial-2020	160	21	an	an	DT
hintze-artificial-2020	160	22	equally	equally	RB
hintze-artificial-2020	160	23	general	general	JJ
hintze-artificial-2020	160	24	-	-	HYPH
hintze-artificial-2020	160	25	purpose	purpose	NN
hintze-artificial-2020	160	26	intelligence	intelligence	NN
hintze-artificial-2020	160	27	,	,	,
hintze-artificial-2020	160	28	then	then	RB
hintze-artificial-2020	160	29	we	-PRON-	PRP
hintze-artificial-2020	160	30	will	will	MD
hintze-artificial-2020	160	31	be	be	VB
hintze-artificial-2020	160	32	bitterly	bitterly	RB
hintze-artificial-2020	160	33	disappointed	disappointed	JJ
hintze-artificial-2020	160	34	.	.	.
hintze-artificial-2020	161	1	The	the	DT
hintze-artificial-2020	161	2	best	good	JJS
hintze-artificial-2020	161	3	example	example	NN
hintze-artificial-2020	161	4	of	of	IN
hintze-artificial-2020	161	5	such	such	JJ
hintze-artificial-2020	161	6	discrepancy	discrepancy	NN
hintze-artificial-2020	161	7	is	be	VBZ
hintze-artificial-2020	161	8	how	how	WRB
hintze-artificial-2020	161	9	easily	easily	RB
hintze-artificial-2020	161	10	neural	neural	JJ
hintze-artificial-2020	161	11	networks	network	NNS
hintze-artificial-2020	161	12	trained	train	VBN
hintze-artificial-2020	161	13	by	by	IN
hintze-artificial-2020	161	14	deep	deep	JJ
hintze-artificial-2020	161	15	learning	learning	NN
hintze-artificial-2020	161	16	can	can	MD
hintze-artificial-2020	161	17	be	be	VB
hintze-artificial-2020	161	18	fooled	fool	VBN
hintze-artificial-2020	161	19	.	.	.
hintze-artificial-2020	162	1	Images	image	NNS
hintze-artificial-2020	162	2	that	that	WDT
hintze-artificial-2020	162	3	are	be	VBP
hintze-artificial-2020	162	4	seemingly	seemingly	RB
hintze-artificial-2020	162	5	identical	identical	JJ
hintze-artificial-2020	162	6	and	and	CC
hintze-artificial-2020	162	7	differ	differ	VBP
hintze-artificial-2020	162	8	only	only	RB
hintze-artificial-2020	162	9	by	by	IN
hintze-artificial-2020	162	10	a	a	DT
hintze-artificial-2020	162	11	few	few	JJ
hintze-artificial-2020	162	12	pixels	pixel	NNS
hintze-artificial-2020	162	13	are	be	VBP
hintze-artificial-2020	162	14	grossly	grossly	RB
hintze-artificial-2020	162	15	misclassified	misclassifie	VBN
hintze-artificial-2020	162	16	,	,	,
hintze-artificial-2020	162	17	a	a	DT
hintze-artificial-2020	162	18	mistake	mistake	NN
hintze-artificial-2020	162	19	no	no	DT
hintze-artificial-2020	162	20	human	human	NN
hintze-artificial-2020	162	21	would	would	MD
hintze-artificial-2020	162	22	make	make	VB
hintze-artificial-2020	162	23	(	(	-LRB-
hintze-artificial-2020	162	24	Nguyen	Nguyen	NNP
hintze-artificial-2020	162	25	,	,	,
hintze-artificial-2020	162	26	Yosinski	Yosinski	NNP
hintze-artificial-2020	162	27	,	,	,
hintze-artificial-2020	162	28	and	and	CC
hintze-artificial-2020	162	29	Clune	Clune	NNP
hintze-artificial-2020	162	30	2015	2015	CD
hintze-artificial-2020	162	31	)	)	-RRB-
hintze-artificial-2020	162	32	.	.	.
hintze-artificial-2020	163	1	Fortunately	fortunately	RB
hintze-artificial-2020	163	2	,	,	,
hintze-artificial-2020	163	3	we	-PRON-	PRP
hintze-artificial-2020	163	4	know	know	VBP
hintze-artificial-2020	163	5	about	about	IN
hintze-artificial-2020	163	6	these	these	DT
hintze-artificial-2020	163	7	biases	bias	NNS
hintze-artificial-2020	163	8	and	and	CC
hintze-artificial-2020	163	9	the	the	DT
hintze-artificial-2020	163	10	possible	possible	JJ
hintze-artificial-2020	163	11	shortcomings	shortcoming	NNS
hintze-artificial-2020	163	12	of	of	IN
hintze-artificial-2020	163	13	these	these	DT
hintze-artificial-2020	163	14	methods	method	NNS
hintze-artificial-2020	163	15	.	.	.
hintze-artificial-2020	164	1	As	as	RB
hintze-artificial-2020	164	2	long	long	RB
hintze-artificial-2020	164	3	as	as	IN
hintze-artificial-2020	164	4	we	-PRON-	PRP
hintze-artificial-2020	164	5	have	have	VBP
hintze-artificial-2020	164	6	the	the	DT
hintze-artificial-2020	164	7	right	right	JJ
hintze-artificial-2020	164	8	expectations	expectation	NNS
hintze-artificial-2020	164	9	,	,	,
hintze-artificial-2020	164	10	we	-PRON-	PRP
hintze-artificial-2020	164	11	can	can	MD
hintze-artificial-2020	164	12	take	take	VB
hintze-artificial-2020	164	13	their	-PRON-	PRP$
hintze-artificial-2020	164	14	flaws	flaw	NNS
hintze-artificial-2020	164	15	into	into	IN
hintze-artificial-2020	164	16	account	account	NN
hintze-artificial-2020	164	17	and	and	CC
hintze-artificial-2020	164	18	still	still	RB
hintze-artificial-2020	164	19	enjoy	enjoy	VB
hintze-artificial-2020	164	20	the	the	DT
hintze-artificial-2020	164	21	prospects	prospect	NNS
hintze-artificial-2020	164	22	they	-PRON-	PRP
hintze-artificial-2020	164	23	provide	provide	VBP
hintze-artificial-2020	164	24	.	.	.
hintze-artificial-2020	165	1	Trained	train	VBN
hintze-artificial-2020	165	2	Machines	Machines	NNPS
hintze-artificial-2020	165	3	:	:	:
hintze-artificial-2020	165	4	Tool	tool	NN
hintze-artificial-2020	165	5	or	or	CC
hintze-artificial-2020	165	6	Provocation	provocation	NN
hintze-artificial-2020	165	7	?	?	.
hintze-artificial-2020	166	1	On	on	IN
hintze-artificial-2020	166	2	one	one	CD
hintze-artificial-2020	166	3	side	side	NN
hintze-artificial-2020	166	4	we	-PRON-	PRP
hintze-artificial-2020	166	5	have	have	VBP
hintze-artificial-2020	166	6	the	the	DT
hintze-artificial-2020	166	7	natural	natural	JJ
hintze-artificial-2020	166	8	sciences	science	NNS
hintze-artificial-2020	166	9	characterized	characterize	VBN
hintze-artificial-2020	166	10	by	by	IN
hintze-artificial-2020	166	11	hypothesis	hypothesis	NN
hintze-artificial-2020	166	12	-	-	HYPH
hintze-artificial-2020	166	13	driven	drive	VBN
hintze-artificial-2020	166	14	experimentation	experimentation	NN
hintze-artificial-2020	166	15	reducing	reduce	VBG
hintze-artificial-2020	166	16	reality	reality	NN
hintze-artificial-2020	166	17	to	to	IN
hintze-artificial-2020	166	18	an	an	DT
hintze-artificial-2020	166	19	abstract	abstract	JJ
hintze-artificial-2020	166	20	model	model	NN
hintze-artificial-2020	166	21	of	of	IN
hintze-artificial-2020	166	22	causal	causal	JJ
hintze-artificial-2020	166	23	interactions	interaction	NNS
hintze-artificial-2020	166	24	.	.	.
hintze-artificial-2020	167	1	This	this	DT
hintze-artificial-2020	167	2	approach	approach	NN
hintze-artificial-2020	167	3	can	can	MD
hintze-artificial-2020	167	4	inform	inform	VB
hintze-artificial-2020	167	5	us	-PRON-	PRP
hintze-artificial-2020	167	6	about	about	IN
hintze-artificial-2020	167	7	the	the	DT
hintze-artificial-2020	167	8	consequences	consequence	NNS
hintze-artificial-2020	167	9	of	of	IN
hintze-artificial-2020	167	10	our	-PRON-	PRP$
hintze-artificial-2020	167	11	possible	possible	JJ
hintze-artificial-2020	167	12	actions	action	NNS
hintze-artificial-2020	167	13	,	,	,
hintze-artificial-2020	167	14	but	but	CC
hintze-artificial-2020	167	15	only	only	RB
hintze-artificial-2020	167	16	as	as	RB
hintze-artificial-2020	167	17	far	far	RB
hintze-artificial-2020	167	18	in	in	IN
hintze-artificial-2020	167	19	the	the	DT
hintze-artificial-2020	167	20	future	future	NN
hintze-artificial-2020	167	21	as	as	IN
hintze-artificial-2020	167	22	the	the	DT
hintze-artificial-2020	167	23	model	model	NN
hintze-artificial-2020	167	24	can	can	MD
hintze-artificial-2020	167	25	adequately	adequately	RB
hintze-artificial-2020	167	26	predict	predict	VB
hintze-artificial-2020	167	27	.	.	.
hintze-artificial-2020	168	1	With	with	IN
hintze-artificial-2020	168	2	machine	machine	NN
hintze-artificial-2020	168	3	learning	learning	NN
hintze-artificial-2020	168	4	and	and	CC
hintze-artificial-2020	168	5	AI	ai	NN
hintze-artificial-2020	168	6	,	,	,
hintze-artificial-2020	168	7	we	-PRON-	PRP
hintze-artificial-2020	168	8	can	can	MD
hintze-artificial-2020	168	9	move	move	VB
hintze-artificial-2020	168	10	this	this	DT
hintze-artificial-2020	168	11	temporal	temporal	JJ
hintze-artificial-2020	168	12	horizon	horizon	NN
hintze-artificial-2020	168	13	of	of	IN
hintze-artificial-2020	168	14	prediction	prediction	NN
hintze-artificial-2020	168	15	farther	farther	RB
hintze-artificial-2020	168	16	into	into	IN
hintze-artificial-2020	168	17	the	the	DT
hintze-artificial-2020	168	18	future	future	NN
hintze-artificial-2020	168	19	.	.	.
hintze-artificial-2020	169	1	While	while	IN
hintze-artificial-2020	169	2	weather	weather	NN
hintze-artificial-2020	169	3	models	model	NNS
hintze-artificial-2020	169	4	might	may	MD
hintze-artificial-2020	169	5	still	still	RB
hintze-artificial-2020	169	6	struggle	struggle	VB
hintze-artificial-2020	169	7	to	to	TO
hintze-artificial-2020	169	8	predict	predict	VB
hintze-artificial-2020	169	9	precipitation	precipitation	NN
hintze-artificial-2020	169	10	7	7	CD
hintze-artificial-2020	169	11	days	day	NNS
hintze-artificial-2020	169	12	in	in	IN
hintze-artificial-2020	169	13	advance	advance	NN
hintze-artificial-2020	169	14	,	,	,
hintze-artificial-2020	169	15	global	global	JJ
hintze-artificial-2020	169	16	climate	climate	NN
hintze-artificial-2020	169	17	models	model	NNS
hintze-artificial-2020	169	18	predict	predict	VBP
hintze-artificial-2020	169	19	in	in	IN
hintze-artificial-2020	169	20	detail	detail	NN
hintze-artificial-2020	169	21	the	the	DT
hintze-artificial-2020	169	22	effects	effect	NNS
hintze-artificial-2020	169	23	of	of	IN
hintze-artificial-2020	169	24	global	global	JJ
hintze-artificial-2020	169	25	warming	warming	NN
hintze-artificial-2020	169	26	in	in	IN
hintze-artificial-2020	169	27	100	100	CD
hintze-artificial-2020	169	28	years	year	NNS
hintze-artificial-2020	169	29	.	.	.
hintze-artificial-2020	170	1	But	but	CC
hintze-artificial-2020	170	2	these	these	DT
hintze-artificial-2020	170	3	models	model	NNS
hintze-artificial-2020	170	4	are	be	VBP
hintze-artificial-2020	170	5	nihilist	nihilist	JJ
hintze-artificial-2020	170	6	,	,	,
hintze-artificial-2020	170	7	void	void	JJ
hintze-artificial-2020	170	8	of	of	IN
hintze-artificial-2020	170	9	values	value	NNS
hintze-artificial-2020	170	10	,	,	,
hintze-artificial-2020	170	11	and	and	CC
hintze-artificial-2020	170	12	can	can	MD
hintze-artificial-2020	170	13	not	not	RB
hintze-artificial-2020	170	14	themselves	-PRON-	PRP
hintze-artificial-2020	170	15	answer	answer	VB
hintze-artificial-2020	170	16	the	the	DT
hintze-artificial-2020	170	17	question	question	NN
hintze-artificial-2020	170	18	if	if	IN
hintze-artificial-2020	170	19	humans	human	NNS
hintze-artificial-2020	170	20	would	would	MD
hintze-artificial-2020	170	21	prefer	prefer	VB
hintze-artificial-2020	170	22	to	to	TO
hintze-artificial-2020	170	23	live	live	VB
hintze-artificial-2020	170	24	in	in	IN
hintze-artificial-2020	170	25	one	one	CD
hintze-artificial-2020	170	26	possible	possible	JJ
hintze-artificial-2020	170	27	future	future	NN
hintze-artificial-2020	170	28	or	or	CC
hintze-artificial-2020	170	29	another	another	DT
hintze-artificial-2020	170	30	.	.	.
hintze-artificial-2020	171	1	Is	be	VBZ
hintze-artificial-2020	171	2	sunshine	sunshine	NN
hintze-artificial-2020	171	3	better	well	JJR
hintze-artificial-2020	171	4	than	than	IN
hintze-artificial-2020	171	5	rain	rain	NN
hintze-artificial-2020	171	6	?	?	.
hintze-artificial-2020	172	1	The	the	DT
hintze-artificial-2020	172	2	humanities	humanity	NNS
hintze-artificial-2020	172	3	,	,	,
hintze-artificial-2020	172	4	on	on	IN
hintze-artificial-2020	172	5	the	the	DT
hintze-artificial-2020	172	6	other	other	JJ
hintze-artificial-2020	172	7	hand	hand	NN
hintze-artificial-2020	172	8	,	,	,
hintze-artificial-2020	172	9	are	be	VBP
hintze-artificial-2020	172	10	home	home	NN
hintze-artificial-2020	172	11	to	to	IN
hintze-artificial-2020	172	12	exactly	exactly	RB
hintze-artificial-2020	172	13	these	these	DT
hintze-artificial-2020	172	14	problems	problem	NNS
hintze-artificial-2020	172	15	.	.	.
hintze-artificial-2020	173	1	What	what	WP
hintze-artificial-2020	173	2	are	be	VBP
hintze-artificial-2020	173	3	our	-PRON-	PRP$
hintze-artificial-2020	173	4	values	value	NNS
hintze-artificial-2020	173	5	?	?	.
hintze-artificial-2020	174	1	How	how	WRB
hintze-artificial-2020	174	2	do	do	VBP
hintze-artificial-2020	174	3	we	-PRON-	PRP
hintze-artificial-2020	174	4	understand	understand	VB
hintze-artificial-2020	174	5	what	what	WP
hintze-artificial-2020	174	6	is	be	VBZ
hintze-artificial-2020	174	7	essential	essential	JJ
hintze-artificial-2020	174	8	?	?	.
hintze-artificial-2020	175	1	Now	now	RB
hintze-artificial-2020	175	2	that	that	IN
hintze-artificial-2020	175	3	we	-PRON-	PRP
hintze-artificial-2020	175	4	know	know	VBP
hintze-artificial-2020	175	5	the	the	DT
hintze-artificial-2020	175	6	facts	fact	NNS
hintze-artificial-2020	175	7	,	,	,
hintze-artificial-2020	175	8	how	how	WRB
hintze-artificial-2020	175	9	should	should	MD
hintze-artificial-2020	175	10	we	-PRON-	PRP
hintze-artificial-2020	175	11	choose	choose	VB
hintze-artificial-2020	175	12	?	?	.
hintze-artificial-2020	176	1	Do	do	VBP
hintze-artificial-2020	176	2	we	-PRON-	PRP
hintze-artificial-2020	176	3	speak	speak	VB
hintze-artificial-2020	176	4	for	for	IN
hintze-artificial-2020	176	5	everyone	everyone	NN
hintze-artificial-2020	176	6	?	?	.
hintze-artificial-2020	177	1	The	the	DT
hintze-artificial-2020	177	2	questions	question	NNS
hintze-artificial-2020	177	3	seem	seem	VBP
hintze-artificial-2020	177	4	to	to	TO
hintze-artificial-2020	177	5	be	be	VB
hintze-artificial-2020	177	6	endless	endless	JJ
hintze-artificial-2020	177	7	,	,	,
hintze-artificial-2020	177	8	but	but	CC
hintze-artificial-2020	177	9	they	-PRON-	PRP
hintze-artificial-2020	177	10	are	be	VBP
hintze-artificial-2020	177	11	what	what	WP
hintze-artificial-2020	177	12	makes	make	VBZ
hintze-artificial-2020	177	13	our	-PRON-	PRP$
hintze-artificial-2020	177	14	human	human	JJ
hintze-artificial-2020	177	15	experience	experience	NN
hintze-artificial-2020	177	16	so	so	RB
hintze-artificial-2020	177	17	special	special	JJ
hintze-artificial-2020	177	18	,	,	,
hintze-artificial-2020	177	19	and	and	CC
hintze-artificial-2020	177	20	what	what	WP
hintze-artificial-2020	177	21	separates	separate	VBZ
hintze-artificial-2020	177	22	the	the	DT
hintze-artificial-2020	177	23	humanities	humanity	NNS
hintze-artificial-2020	177	24	from	from	IN
hintze-artificial-2020	177	25	the	the	DT
hintze-artificial-2020	177	26	sciences	science	NNS
hintze-artificial-2020	177	27	.	.	.
hintze-artificial-2020	178	1	Labels	label	NNS
hintze-artificial-2020	178	2	–	–	:
hintze-artificial-2020	178	3	such	such	JJ
hintze-artificial-2020	178	4	as	as	IN
hintze-artificial-2020	178	5	learning	learning	NN
hintze-artificial-2020	178	6	or	or	CC
hintze-artificial-2020	178	7	intelligence	intelligence	NN
hintze-artificial-2020	178	8	–	–	:
hintze-artificial-2020	178	9	are	be	VBP
hintze-artificial-2020	178	10	too	too	RB
hintze-artificial-2020	178	11	easily	easily	RB
hintze-artificial-2020	178	12	anthropomorphized	anthropomorphize	VBN
hintze-artificial-2020	178	13	.	.	.
hintze-artificial-2020	179	1	A	a	DT
hintze-artificial-2020	179	2	technology	technology	NN
hintze-artificial-2020	179	3	branded	brand	VBN
hintze-artificial-2020	179	4	in	in	IN
hintze-artificial-2020	179	5	this	this	DT
hintze-artificial-2020	179	6	way	way	NN
hintze-artificial-2020	179	7	suggests	suggest	VBZ
hintze-artificial-2020	179	8	human	human	JJ
hintze-artificial-2020	179	9	-	-	HYPH
hintze-artificial-2020	179	10	like	like	JJ
hintze-artificial-2020	179	11	properties	property	NNS
hintze-artificial-2020	179	12	:	:	:
hintze-artificial-2020	179	13	intelligence	intelligence	NN
hintze-artificial-2020	179	14	,	,	,
hintze-artificial-2020	179	15	common	common	JJ
hintze-artificial-2020	179	16	sense	sense	NN
hintze-artificial-2020	179	17	,	,	,
hintze-artificial-2020	179	18	or	or	CC
hintze-artificial-2020	179	19	even	even	RB
hintze-artificial-2020	179	20	subjective	subjective	JJ
hintze-artificial-2020	179	21	opinion	opinion	NN
hintze-artificial-2020	179	22	.	.	.
hintze-artificial-2020	180	1	From	from	IN
hintze-artificial-2020	180	2	a	a	DT
hintze-artificial-2020	180	3	name	name	NN
hintze-artificial-2020	180	4	like	like	IN
hintze-artificial-2020	180	5	“	"	``
hintze-artificial-2020	180	6	deep	deep	JJ
hintze-artificial-2020	180	7	learning	learning	NN
hintze-artificial-2020	180	8	”	"	''
hintze-artificial-2020	180	9	we	-PRON-	PRP
hintze-artificial-2020	180	10	expect	expect	VBP
hintze-artificial-2020	180	11	a	a	DT
hintze-artificial-2020	180	12	system	system	NN
hintze-artificial-2020	180	13	that	that	WDT
hintze-artificial-2020	180	14	develops	develop	VBZ
hintze-artificial-2020	180	15	a	a	DT
hintze-artificial-2020	180	16	deep	deep	JJ
hintze-artificial-2020	180	17	and	and	CC
hintze-artificial-2020	180	18	intuitive	intuitive	JJ
hintze-artificial-2020	180	19	understanding	understanding	NN
hintze-artificial-2020	180	20	with	with	IN
hintze-artificial-2020	180	21	insights	insight	NNS
hintze-artificial-2020	180	22	more	more	RBR
hintze-artificial-2020	180	23	profound	profound	JJ
hintze-artificial-2020	180	24	than	than	IN
hintze-artificial-2020	180	25	our	-PRON-	PRP$
hintze-artificial-2020	180	26	own	own	JJ
hintze-artificial-2020	180	27	.	.	.
hintze-artificial-2020	181	1	However	however	RB
hintze-artificial-2020	181	2	,	,	,
hintze-artificial-2020	181	3	these	these	DT
hintze-artificial-2020	181	4	systems	system	NNS
hintze-artificial-2020	181	5	do	do	VBP
hintze-artificial-2020	181	6	not	not	RB
hintze-artificial-2020	181	7	provide	provide	VB
hintze-artificial-2020	181	8	an	an	DT
hintze-artificial-2020	181	9	alternative	alternative	JJ
hintze-artificial-2020	181	10	perspective	perspective	NN
hintze-artificial-2020	181	11	,	,	,
hintze-artificial-2020	181	12	but	but	CC
hintze-artificial-2020	181	13	as	as	IN
hintze-artificial-2020	181	14	explained	explain	VBN
hintze-artificial-2020	181	15	above	above	RB
hintze-artificial-2020	181	16	,	,	,
hintze-artificial-2020	181	17	are	be	VBP
hintze-artificial-2020	181	18	only	only	RB
hintze-artificial-2020	181	19	as	as	RB
hintze-artificial-2020	181	20	good	good	JJ
hintze-artificial-2020	181	21	or	or	CC
hintze-artificial-2020	181	22	as	as	RB
hintze-artificial-2020	181	23	biased	biased	JJ
hintze-artificial-2020	181	24	as	as	IN
hintze-artificial-2020	181	25	the	the	DT
hintze-artificial-2020	181	26	scientist	scientist	NN
hintze-artificial-2020	181	27	selecting	select	VBG
hintze-artificial-2020	181	28	their	-PRON-	PRP$
hintze-artificial-2020	181	29	training	training	NN
hintze-artificial-2020	181	30	data	datum	NNS
hintze-artificial-2020	181	31	.	.	.
hintze-artificial-2020	182	1	Just	just	RB
hintze-artificial-2020	182	2	because	because	IN
hintze-artificial-2020	182	3	humans	human	NNS
hintze-artificial-2020	182	4	and	and	CC
hintze-artificial-2020	182	5	machine	machine	NN
hintze-artificial-2020	182	6	learning	learning	NN
hintze-artificial-2020	182	7	are	be	VBP
hintze-artificial-2020	182	8	both	both	DT
hintze-artificial-2020	182	9	black	black	JJ
hintze-artificial-2020	182	10	boxes	box	NNS
hintze-artificial-2020	182	11	in	in	IN
hintze-artificial-2020	182	12	the	the	DT
hintze-artificial-2020	182	13	sense	sense	NN
hintze-artificial-2020	182	14	that	that	IN
hintze-artificial-2020	182	15	their	-PRON-	PRP$
hintze-artificial-2020	182	16	inner	inner	JJ
hintze-artificial-2020	182	17	workings	working	NNS
hintze-artificial-2020	182	18	are	be	VBP
hintze-artificial-2020	182	19	opaque	opaque	JJ
hintze-artificial-2020	182	20	,	,	,
hintze-artificial-2020	182	21	does	do	VBZ
hintze-artificial-2020	182	22	not	not	RB
hintze-artificial-2020	182	23	mean	mean	VB
hintze-artificial-2020	182	24	they	-PRON-	PRP
hintze-artificial-2020	182	25	share	share	VBP
hintze-artificial-2020	182	26	other	other	JJ
hintze-artificial-2020	182	27	qualities	quality	NNS
hintze-artificial-2020	182	28	.	.	.
hintze-artificial-2020	183	1	For	for	IN
hintze-artificial-2020	183	2	instance	instance	NN
hintze-artificial-2020	183	3	,	,	,
hintze-artificial-2020	183	4	having	have	VBG
hintze-artificial-2020	183	5	labeled	label	VBN
hintze-artificial-2020	183	6	the	the	DT
hintze-artificial-2020	183	7	ML	ML	NNP
hintze-artificial-2020	183	8	training	training	NN
hintze-artificial-2020	183	9	process	process	NN
hintze-artificial-2020	183	10	as	as	IN
hintze-artificial-2020	183	11	“	"	``
hintze-artificial-2020	183	12	learning	learn	VBG
hintze-artificial-2020	183	13	”	"	''
hintze-artificial-2020	183	14	does	do	VBZ
hintze-artificial-2020	183	15	not	not	RB
hintze-artificial-2020	183	16	imply	imply	VB
hintze-artificial-2020	183	17	that	that	IN
hintze-artificial-2020	183	18	ML	ML	NNP
hintze-artificial-2020	183	19	algorithms	algorithm	NNS
hintze-artificial-2020	183	20	are	be	VBP
hintze-artificial-2020	183	21	curious	curious	JJ
hintze-artificial-2020	183	22	and	and	CC
hintze-artificial-2020	183	23	learn	learn	VB
hintze-artificial-2020	183	24	from	from	IN
hintze-artificial-2020	183	25	observations	observation	NNS
hintze-artificial-2020	183	26	.	.	.
hintze-artificial-2020	184	1	While	while	IN
hintze-artificial-2020	184	2	these	these	DT
hintze-artificial-2020	184	3	new	new	JJ
hintze-artificial-2020	184	4	computerized	computerized	JJ
hintze-artificial-2020	184	5	quantitative	quantitative	JJ
hintze-artificial-2020	184	6	measures	measure	NNS
hintze-artificial-2020	184	7	might	may	MD
hintze-artificial-2020	184	8	be	be	VB
hintze-artificial-2020	184	9	welcomed	welcome	VBN
hintze-artificial-2020	184	10	by	by	IN
hintze-artificial-2020	184	11	some	some	DT
hintze-artificial-2020	184	12	scholars	scholar	NNS
hintze-artificial-2020	184	13	,	,	,
hintze-artificial-2020	184	14	there	there	EX
hintze-artificial-2020	184	15	will	will	MD
hintze-artificial-2020	184	16	be	be	VB
hintze-artificial-2020	184	17	others	other	NNS
hintze-artificial-2020	184	18	who	who	WP
hintze-artificial-2020	184	19	view	view	VBP
hintze-artificial-2020	184	20	it	-PRON-	PRP
hintze-artificial-2020	184	21	as	as	IN
hintze-artificial-2020	184	22	an	an	DT
hintze-artificial-2020	184	23	existential	existential	JJ
hintze-artificial-2020	184	24	threat	threat	NN
hintze-artificial-2020	184	25	to	to	IN
hintze-artificial-2020	184	26	the	the	DT
hintze-artificial-2020	184	27	very	very	JJ
hintze-artificial-2020	184	28	nature	nature	NN
hintze-artificial-2020	184	29	of	of	IN
hintze-artificial-2020	184	30	the	the	DT
hintze-artificial-2020	184	31	humanities	humanity	NNS
hintze-artificial-2020	184	32	.	.	.
hintze-artificial-2020	185	1	Are	be	VBP
hintze-artificial-2020	185	2	these	these	DT
hintze-artificial-2020	185	3	quantitative	quantitative	JJ
hintze-artificial-2020	185	4	methods	method	NNS
hintze-artificial-2020	185	5	sneaking	sneak	VBG
hintze-artificial-2020	185	6	into	into	IN
hintze-artificial-2020	185	7	the	the	DT
hintze-artificial-2020	185	8	humanities	humanity	NNS
hintze-artificial-2020	185	9	disguised	disguise	VBN
hintze-artificial-2020	185	10	by	by	IN
hintze-artificial-2020	185	11	anthropomorphic	anthropomorphic	JJ
hintze-artificial-2020	185	12	terms	term	NNS
hintze-artificial-2020	185	13	like	like	IN
hintze-artificial-2020	185	14	a	a	DT
hintze-artificial-2020	185	15	wolf	wolf	NN
hintze-artificial-2020	185	16	shrouded	shroud	VBN
hintze-artificial-2020	185	17	in	in	IN
hintze-artificial-2020	185	18	a	a	DT
hintze-artificial-2020	185	19	sheep	sheep	NN
hintze-artificial-2020	185	20	’s	’s	NN
hintze-artificial-2020	185	21	fleece	fleece	NN
hintze-artificial-2020	185	22	?	?	.
hintze-artificial-2020	186	1	From	from	IN
hintze-artificial-2020	186	2	this	this	DT
hintze-artificial-2020	186	3	viewpoint	viewpoint	NN
hintze-artificial-2020	186	4	,	,	,
hintze-artificial-2020	186	5	having	have	VBG
hintze-artificial-2020	186	6	the	the	DT
hintze-artificial-2020	186	7	wrong	wrong	JJ
hintze-artificial-2020	186	8	expectations	expectation	NNS
hintze-artificial-2020	186	9	is	be	VBZ
hintze-artificial-2020	186	10	not	not	RB
hintze-artificial-2020	186	11	only	only	RB
hintze-artificial-2020	186	12	provoking	provoke	VBG
hintze-artificial-2020	186	13	a	a	DT
hintze-artificial-2020	186	14	disappointment	disappointment	NN
hintze-artificial-2020	186	15	,	,	,
hintze-artificial-2020	186	16	but	but	CC
hintze-artificial-2020	186	17	flooding	flood	VBG
hintze-artificial-2020	186	18	the	the	DT
hintze-artificial-2020	186	19	humanities	humanity	NNS
hintze-artificial-2020	186	20	with	with	IN
hintze-artificial-2020	186	21	sophisticated	sophisticated	JJ
hintze-artificial-2020	186	22	technologies	technology	NNS
hintze-artificial-2020	186	23	that	that	WDT
hintze-artificial-2020	186	24	dilute	dilute	VBP
hintze-artificial-2020	186	25	and	and	CC
hintze-artificial-2020	186	26	muddy	muddy	VB
hintze-artificial-2020	186	27	the	the	DT
hintze-artificial-2020	186	28	nature	nature	NN
hintze-artificial-2020	186	29	of	of	IN
hintze-artificial-2020	186	30	qualitative	qualitative	JJ
hintze-artificial-2020	186	31	research	research	NN
hintze-artificial-2020	186	32	that	that	WDT
hintze-artificial-2020	186	33	makes	make	VBZ
hintze-artificial-2020	186	34	the	the	DT
hintze-artificial-2020	186	35	humanities	humanity	NNS
hintze-artificial-2020	186	36	special	special	JJ
hintze-artificial-2020	186	37	.	.	.
hintze-artificial-2020	187	1	However	however	RB
hintze-artificial-2020	187	2	,	,	,
hintze-artificial-2020	187	3	this	this	DT
hintze-artificial-2020	187	4	imminent	imminent	JJ
hintze-artificial-2020	187	5	clash	clash	NN
hintze-artificial-2020	187	6	between	between	IN
hintze-artificial-2020	187	7	quantitative	quantitative	JJ
hintze-artificial-2020	187	8	and	and	CC
hintze-artificial-2020	187	9	qualitative	qualitative	JJ
hintze-artificial-2020	187	10	research	research	NN
hintze-artificial-2020	187	11	also	also	RB
hintze-artificial-2020	187	12	provides	provide	VBZ
hintze-artificial-2020	187	13	a	a	DT
hintze-artificial-2020	187	14	unique	unique	JJ
hintze-artificial-2020	187	15	opportunity	opportunity	NN
hintze-artificial-2020	187	16	.	.	.
hintze-artificial-2020	188	1	Suppose	suppose	VB
hintze-artificial-2020	188	2	there	there	EX
hintze-artificial-2020	188	3	is	be	VBZ
hintze-artificial-2020	188	4	a	a	DT
hintze-artificial-2020	188	5	question	question	NN
hintze-artificial-2020	188	6	that	that	WDT
hintze-artificial-2020	188	7	can	can	MD
hintze-artificial-2020	188	8	only	only	RB
hintze-artificial-2020	188	9	be	be	VB
hintze-artificial-2020	188	10	answered	answer	VBN
hintze-artificial-2020	188	11	subjectively	subjectively	RB
hintze-artificial-2020	188	12	and	and	CC
hintze-artificial-2020	188	13	qualitatively	qualitatively	RB
hintze-artificial-2020	188	14	.	.	.
hintze-artificial-2020	189	1	If	if	IN
hintze-artificial-2020	189	2	so	so	RB
hintze-artificial-2020	189	3	,	,	,
hintze-artificial-2020	189	4	it	-PRON-	PRP
hintze-artificial-2020	189	5	would	would	MD
hintze-artificial-2020	189	6	define	define	VB
hintze-artificial-2020	189	7	a	a	DT
hintze-artificial-2020	189	8	hard	hard	JJ
hintze-artificial-2020	189	9	boundary	boundary	NN
hintze-artificial-2020	189	10	against	against	IN
hintze-artificial-2020	189	11	the	the	DT
hintze-artificial-2020	189	12	aforementioned	aforementioned	JJ
hintze-artificial-2020	189	13	reductionism	reductionism	NN
hintze-artificial-2020	189	14	of	of	IN
hintze-artificial-2020	189	15	the	the	DT
hintze-artificial-2020	189	16	purely	purely	RB
hintze-artificial-2020	189	17	causal	causal	JJ
hintze-artificial-2020	189	18	quantitative	quantitative	JJ
hintze-artificial-2020	189	19	approach	approach	NN
hintze-artificial-2020	189	20	.	.	.
hintze-artificial-2020	190	1	At	at	IN
hintze-artificial-2020	190	2	the	the	DT
hintze-artificial-2020	190	3	same	same	JJ
hintze-artificial-2020	190	4	time	time	NN
hintze-artificial-2020	190	5	,	,	,
hintze-artificial-2020	190	6	such	such	PDT
hintze-artificial-2020	190	7	a	a	DT
hintze-artificial-2020	190	8	boundary	boundary	JJ
hintze-artificial-2020	190	9	presents	present	VBZ
hintze-artificial-2020	190	10	the	the	DT
hintze-artificial-2020	190	11	perfect	perfect	JJ
hintze-artificial-2020	190	12	target	target	NN
hintze-artificial-2020	190	13	for	for	IN
hintze-artificial-2020	190	14	an	an	DT
hintze-artificial-2020	190	15	artificially	artificially	RB
hintze-artificial-2020	190	16	intelligent	intelligent	JJ
hintze-artificial-2020	190	17	system	system	NN
hintze-artificial-2020	190	18	to	to	TO
hintze-artificial-2020	190	19	prove	prove	VB
hintze-artificial-2020	190	20	its	-PRON-	PRP$
hintze-artificial-2020	190	21	utility	utility	NN
hintze-artificial-2020	190	22	.	.	.
hintze-artificial-2020	191	1	If	if	IN
hintze-artificial-2020	191	2	a	a	DT
hintze-artificial-2020	191	3	computational	computational	JJ
hintze-artificial-2020	191	4	human	human	JJ
hintze-artificial-2020	191	5	analog	analog	NN
hintze-artificial-2020	191	6	can	can	MD
hintze-artificial-2020	191	7	be	be	VB
hintze-artificial-2020	191	8	created	create	VBN
hintze-artificial-2020	191	9	,	,	,
hintze-artificial-2020	191	10	then	then	RB
hintze-artificial-2020	191	11	it	-PRON-	PRP
hintze-artificial-2020	191	12	must	must	MD
hintze-artificial-2020	191	13	be	be	VB
hintze-artificial-2020	191	14	capable	capable	JJ
hintze-artificial-2020	191	15	of	of	IN
hintze-artificial-2020	191	16	performing	perform	VBG
hintze-artificial-2020	191	17	the	the	DT
hintze-artificial-2020	191	18	same	same	JJ
hintze-artificial-2020	191	19	tasks	task	NNS
hintze-artificial-2020	191	20	as	as	IN
hintze-artificial-2020	191	21	a	a	DT
hintze-artificial-2020	191	22	humanities	humanity	NNS
hintze-artificial-2020	191	23	researcher	researcher	NN
hintze-artificial-2020	191	24	.	.	.
hintze-artificial-2020	192	1	In	in	IN
hintze-artificial-2020	192	2	other	other	JJ
hintze-artificial-2020	192	3	words	word	NNS
hintze-artificial-2020	192	4	,	,	,
hintze-artificial-2020	192	5	it	-PRON-	PRP
hintze-artificial-2020	192	6	must	must	MD
hintze-artificial-2020	192	7	be	be	VB
hintze-artificial-2020	192	8	able	able	JJ
hintze-artificial-2020	192	9	to	to	TO
hintze-artificial-2020	192	10	answer	answer	VB
hintze-artificial-2020	192	11	subjective	subjective	JJ
hintze-artificial-2020	192	12	and	and	CC
hintze-artificial-2020	192	13	qualitative	qualitative	JJ
hintze-artificial-2020	192	14	questions	question	NNS
hintze-artificial-2020	192	15	,	,	,
hintze-artificial-2020	192	16	regardless	regardless	RB
hintze-artificial-2020	192	17	of	of	IN
hintze-artificial-2020	192	18	its	-PRON-	PRP$
hintze-artificial-2020	192	19	computational	computational	JJ
hintze-artificial-2020	192	20	and	and	CC
hintze-artificial-2020	192	21	quantitative	quantitative	JJ
hintze-artificial-2020	192	22	construction	construction	NN
hintze-artificial-2020	192	23	.	.	.
hintze-artificial-2020	193	1	Failing	fail	VBG
hintze-artificial-2020	193	2	at	at	IN
hintze-artificial-2020	193	3	such	such	PDT
hintze-artificial-2020	193	4	a	a	DT
hintze-artificial-2020	193	5	task	task	NN
hintze-artificial-2020	193	6	would	would	MD
hintze-artificial-2020	193	7	be	be	VB
hintze-artificial-2020	193	8	equivalent	equivalent	JJ
hintze-artificial-2020	193	9	to	to	IN
hintze-artificial-2020	193	10	failing	fail	VBG
hintze-artificial-2020	193	11	the	the	DT
hintze-artificial-2020	193	12	famous	famous	JJ
hintze-artificial-2020	193	13	Turing	Turing	NNP
hintze-artificial-2020	193	14	test	test	NN
hintze-artificial-2020	193	15	,	,	,
hintze-artificial-2020	193	16	thereby	thereby	RB
hintze-artificial-2020	193	17	proving	prove	VBG
hintze-artificial-2020	193	18	the	the	DT
hintze-artificial-2020	193	19	AI	AI	NNP
hintze-artificial-2020	193	20	is	be	VBZ
hintze-artificial-2020	193	21	not	not	RB
hintze-artificial-2020	193	22	yet	yet	RB
hintze-artificial-2020	193	23	human	human	JJ
hintze-artificial-2020	193	24	-	-	HYPH
hintze-artificial-2020	193	25	like	like	JJ
hintze-artificial-2020	193	26	enough	enough	NN
hintze-artificial-2020	193	27	.	.	.
hintze-artificial-2020	194	1	In	in	IN
hintze-artificial-2020	194	2	this	this	DT
hintze-artificial-2020	194	3	way	way	NN
hintze-artificial-2020	194	4	,	,	,
hintze-artificial-2020	194	5	the	the	DT
hintze-artificial-2020	194	6	qualitative	qualitative	JJ
hintze-artificial-2020	194	7	nature	nature	NN
hintze-artificial-2020	194	8	of	of	IN
hintze-artificial-2020	194	9	the	the	DT
hintze-artificial-2020	194	10	humanities	humanity	NNS
hintze-artificial-2020	194	11	poses	pose	VBZ
hintze-artificial-2020	194	12	a	a	DT
hintze-artificial-2020	194	13	challenge	challenge	NN
hintze-artificial-2020	194	14	–	–	:
hintze-artificial-2020	194	15	and	and	CC
hintze-artificial-2020	194	16	maybe	maybe	RB
hintze-artificial-2020	194	17	a	a	DT
hintze-artificial-2020	194	18	threat	threat	NN
hintze-artificial-2020	194	19	–	–	:
hintze-artificial-2020	194	20	to	to	TO
hintze-artificial-2020	194	21	artificially	artificially	RB
hintze-artificial-2020	194	22	intelligent	intelligent	JJ
hintze-artificial-2020	194	23	systems	system	NNS
hintze-artificial-2020	194	24	.	.	.
hintze-artificial-2020	195	1	While	while	IN
hintze-artificial-2020	195	2	some	some	DT
hintze-artificial-2020	195	3	might	may	MD
hintze-artificial-2020	195	4	say	say	VB
hintze-artificial-2020	195	5	the	the	DT
hintze-artificial-2020	195	6	threat	threat	NN
hintze-artificial-2020	195	7	is	be	VBZ
hintze-artificial-2020	195	8	mutual	mutual	JJ
hintze-artificial-2020	195	9	,	,	,
hintze-artificial-2020	195	10	past	past	JJ
hintze-artificial-2020	195	11	successes	success	NNS
hintze-artificial-2020	195	12	of	of	IN
hintze-artificial-2020	195	13	interdisciplinary	interdisciplinary	JJ
hintze-artificial-2020	195	14	research	research	NN
hintze-artificial-2020	195	15	suggest	suggest	VBP
hintze-artificial-2020	195	16	otherwise	otherwise	RB
hintze-artificial-2020	195	17	:	:	:
hintze-artificial-2020	195	18	The	the	DT
hintze-artificial-2020	195	19	digital	digital	JJ
hintze-artificial-2020	195	20	humanities	humanity	NNS
hintze-artificial-2020	195	21	could	could	MD
hintze-artificial-2020	195	22	become	become	VB
hintze-artificial-2020	195	23	the	the	DT
hintze-artificial-2020	195	24	forefront	forefront	NN
hintze-artificial-2020	195	25	of	of	IN
hintze-artificial-2020	195	26	AI	AI	NNP
hintze-artificial-2020	195	27	research	research	NN
hintze-artificial-2020	195	28	.	.	.
hintze-artificial-2020	196	1	Beyond	beyond	IN
hintze-artificial-2020	196	2	machine	machine	NN
hintze-artificial-2020	196	3	training	training	NN
hintze-artificial-2020	196	4	,	,	,
hintze-artificial-2020	196	5	towards	towards	IN
hintze-artificial-2020	196	6	general	general	JJ
hintze-artificial-2020	196	7	purpose	purpose	NN
hintze-artificial-2020	196	8	intelligence	intelligence	NN
hintze-artificial-2020	196	9	Currently	currently	RB
hintze-artificial-2020	196	10	,	,	,
hintze-artificial-2020	196	11	machines	machine	NNS
hintze-artificial-2020	196	12	do	do	VBP
hintze-artificial-2020	196	13	not	not	RB
hintze-artificial-2020	196	14	learn	learn	VB
hintze-artificial-2020	196	15	but	but	CC
hintze-artificial-2020	196	16	must	must	MD
hintze-artificial-2020	196	17	be	be	VB
hintze-artificial-2020	196	18	trained	train	VBN
hintze-artificial-2020	196	19	,	,	,
hintze-artificial-2020	196	20	typically	typically	RB
hintze-artificial-2020	196	21	with	with	IN
hintze-artificial-2020	196	22	human	human	NN
hintze-artificial-2020	196	23	-	-	HYPH
hintze-artificial-2020	196	24	labeled	label	VBN
hintze-artificial-2020	196	25	data	datum	NNS
hintze-artificial-2020	196	26	.	.	.
hintze-artificial-2020	197	1	ML	ML	NNP
hintze-artificial-2020	197	2	algorithms	algorithm	NNS
hintze-artificial-2020	197	3	are	be	VBP
hintze-artificial-2020	197	4	not	not	RB
hintze-artificial-2020	197	5	smart	smart	JJ
hintze-artificial-2020	197	6	as	as	IN
hintze-artificial-2020	197	7	we	-PRON-	PRP
hintze-artificial-2020	197	8	are	be	VBP
hintze-artificial-2020	197	9	,	,	,
hintze-artificial-2020	197	10	but	but	CC
hintze-artificial-2020	197	11	they	-PRON-	PRP
hintze-artificial-2020	197	12	can	can	MD
hintze-artificial-2020	197	13	solve	solve	VB
hintze-artificial-2020	197	14	specific	specific	JJ
hintze-artificial-2020	197	15	tasks	task	NNS
hintze-artificial-2020	197	16	in	in	IN
hintze-artificial-2020	197	17	sophisticated	sophisticated	JJ
hintze-artificial-2020	197	18	ways	way	NNS
hintze-artificial-2020	197	19	.	.	.
hintze-artificial-2020	198	1	Perhaps	perhaps	RB
hintze-artificial-2020	198	2	sentience	sentience	NN
hintze-artificial-2020	198	3	will	will	MD
hintze-artificial-2020	198	4	only	only	RB
hintze-artificial-2020	198	5	be	be	VB
hintze-artificial-2020	198	6	a	a	DT
hintze-artificial-2020	198	7	product	product	NN
hintze-artificial-2020	198	8	of	of	IN
hintze-artificial-2020	198	9	enough	enough	JJ
hintze-artificial-2020	198	10	time	time	NN
hintze-artificial-2020	198	11	and	and	CC
hintze-artificial-2020	198	12	training	training	NN
hintze-artificial-2020	198	13	data	datum	NNS
hintze-artificial-2020	198	14	,	,	,
hintze-artificial-2020	198	15	but	but	CC
hintze-artificial-2020	198	16	the	the	DT
hintze-artificial-2020	198	17	path	path	NN
hintze-artificial-2020	198	18	to	to	IN
hintze-artificial-2020	198	19	sentience	sentience	NN
hintze-artificial-2020	198	20	probably	probably	RB
hintze-artificial-2020	198	21	requires	require	VBZ
hintze-artificial-2020	198	22	more	more	JJR
hintze-artificial-2020	198	23	than	than	IN
hintze-artificial-2020	198	24	time	time	NN
hintze-artificial-2020	198	25	and	and	CC
hintze-artificial-2020	198	26	data	datum	NNS
hintze-artificial-2020	198	27	.	.	.
hintze-artificial-2020	199	1	The	the	DT
hintze-artificial-2020	199	2	process	process	NN
hintze-artificial-2020	199	3	that	that	WDT
hintze-artificial-2020	199	4	gave	give	VBD
hintze-artificial-2020	199	5	rise	rise	NN
hintze-artificial-2020	199	6	to	to	IN
hintze-artificial-2020	199	7	human	human	JJ
hintze-artificial-2020	199	8	intelligence	intelligence	NN
hintze-artificial-2020	199	9	was	be	VBD
hintze-artificial-2020	199	10	evolution	evolution	NN
hintze-artificial-2020	199	11	.	.	.
hintze-artificial-2020	200	1	This	this	DT
hintze-artificial-2020	200	2	opportunistic	opportunistic	JJ
hintze-artificial-2020	200	3	process	process	NN
hintze-artificial-2020	200	4	optimized	optimize	VBD
hintze-artificial-2020	200	5	brains	brain	NNS
hintze-artificial-2020	200	6	over	over	IN
hintze-artificial-2020	200	7	endless	endless	JJ
hintze-artificial-2020	200	8	generations	generation	NNS
hintze-artificial-2020	200	9	to	to	TO
hintze-artificial-2020	200	10	perform	perform	VB
hintze-artificial-2020	200	11	ever	ever	RB
hintze-artificial-2020	200	12	-	-	HYPH
hintze-artificial-2020	200	13	changing	change	VBG
hintze-artificial-2020	200	14	tasks	task	NNS
hintze-artificial-2020	200	15	,	,	,
hintze-artificial-2020	200	16	and	and	CC
hintze-artificial-2020	200	17	it	-PRON-	PRP
hintze-artificial-2020	200	18	is	be	VBZ
hintze-artificial-2020	200	19	the	the	DT
hintze-artificial-2020	200	20	only	only	JJ
hintze-artificial-2020	200	21	known	know	VBN
hintze-artificial-2020	200	22	example	example	NN
hintze-artificial-2020	200	23	of	of	IN
hintze-artificial-2020	200	24	a	a	DT
hintze-artificial-2020	200	25	process	process	NN
hintze-artificial-2020	200	26	that	that	WDT
hintze-artificial-2020	200	27	resulted	result	VBD
hintze-artificial-2020	200	28	in	in	IN
hintze-artificial-2020	200	29	such	such	JJ
hintze-artificial-2020	200	30	complex	complex	JJ
hintze-artificial-2020	200	31	intelligence	intelligence	NN
hintze-artificial-2020	200	32	.	.	.
hintze-artificial-2020	201	1	None	none	NN
hintze-artificial-2020	201	2	of	of	IN
hintze-artificial-2020	201	3	the	the	DT
hintze-artificial-2020	201	4	earlier	early	RBR
hintze-artificial-2020	201	5	described	describe	VBN
hintze-artificial-2020	201	6	computational	computational	JJ
hintze-artificial-2020	201	7	methods	method	NNS
hintze-artificial-2020	201	8	even	even	RB
hintze-artificial-2020	201	9	remotely	remotely	RB
hintze-artificial-2020	201	10	follow	follow	VBP
hintze-artificial-2020	201	11	this	this	DT
hintze-artificial-2020	201	12	paradigm	paradigm	NN
hintze-artificial-2020	201	13	:	:	:
hintze-artificial-2020	201	14	Researchers	researcher	NNS
hintze-artificial-2020	201	15	designed	design	VBD
hintze-artificial-2020	201	16	ad	ad	NN
hintze-artificial-2020	201	17	hoc	hoc	FW
hintze-artificial-2020	201	18	algorithms	algorithm	NNS
hintze-artificial-2020	201	19	that	that	WDT
hintze-artificial-2020	201	20	solved	solve	VBD
hintze-artificial-2020	201	21	well	well	RB
hintze-artificial-2020	201	22	-	-	HYPH
hintze-artificial-2020	201	23	defined	define	VBN
hintze-artificial-2020	201	24	problems	problem	NNS
hintze-artificial-2020	201	25	.	.	.
hintze-artificial-2020	202	1	The	the	DT
hintze-artificial-2020	202	2	next	next	JJ
hintze-artificial-2020	202	3	iteration	iteration	NN
hintze-artificial-2020	202	4	of	of	IN
hintze-artificial-2020	202	5	these	these	DT
hintze-artificial-2020	202	6	methods	method	NNS
hintze-artificial-2020	202	7	is	be	VBZ
hintze-artificial-2020	202	8	either	either	CC
hintze-artificial-2020	202	9	an	an	DT
hintze-artificial-2020	202	10	incremental	incremental	JJ
hintze-artificial-2020	202	11	improvement	improvement	NN
hintze-artificial-2020	202	12	of	of	IN
hintze-artificial-2020	202	13	existing	exist	VBG
hintze-artificial-2020	202	14	code	code	NN
hintze-artificial-2020	202	15	,	,	,
hintze-artificial-2020	202	16	a	a	DT
hintze-artificial-2020	202	17	new	new	JJ
hintze-artificial-2020	202	18	methodological	methodological	JJ
hintze-artificial-2020	202	19	invention	invention	NN
hintze-artificial-2020	202	20	,	,	,
hintze-artificial-2020	202	21	or	or	CC
hintze-artificial-2020	202	22	an	an	DT
hintze-artificial-2020	202	23	application	application	NN
hintze-artificial-2020	202	24	to	to	IN
hintze-artificial-2020	202	25	a	a	DT
hintze-artificial-2020	202	26	new	new	JJ
hintze-artificial-2020	202	27	data	data	NN
hintze-artificial-2020	202	28	set	set	NN
hintze-artificial-2020	202	29	.	.	.
hintze-artificial-2020	203	1	These	these	DT
hintze-artificial-2020	203	2	improvements	improvement	NNS
hintze-artificial-2020	203	3	do	do	VBP
hintze-artificial-2020	203	4	not	not	RB
hintze-artificial-2020	203	5	compound	compound	VB
hintze-artificial-2020	203	6	to	to	TO
hintze-artificial-2020	203	7	make	make	VB
hintze-artificial-2020	203	8	AI	AI	NNP
hintze-artificial-2020	203	9	tools	tool	NNS
hintze-artificial-2020	203	10	better	well	JJR
hintze-artificial-2020	203	11	generalists	generalist	NNS
hintze-artificial-2020	203	12	,	,	,
hintze-artificial-2020	203	13	but	but	CC
hintze-artificial-2020	203	14	instead	instead	RB
hintze-artificial-2020	203	15	contribute	contribute	VB
hintze-artificial-2020	203	16	to	to	IN
hintze-artificial-2020	203	17	the	the	DT
hintze-artificial-2020	203	18	diversity	diversity	NN
hintze-artificial-2020	203	19	of	of	IN
hintze-artificial-2020	203	20	the	the	DT
hintze-artificial-2020	203	21	existing	exist	VBG
hintze-artificial-2020	203	22	tools	tool	NNS
hintze-artificial-2020	203	23	.	.	.
hintze-artificial-2020	204	1	One	one	CD
hintze-artificial-2020	204	2	approach	approach	NN
hintze-artificial-2020	204	3	that	that	WDT
hintze-artificial-2020	204	4	does	do	VBZ
hintze-artificial-2020	204	5	not	not	RB
hintze-artificial-2020	204	6	suffer	suffer	VB
hintze-artificial-2020	204	7	from	from	IN
hintze-artificial-2020	204	8	these	these	DT
hintze-artificial-2020	204	9	shortcomings	shortcoming	NNS
hintze-artificial-2020	204	10	is	be	VBZ
hintze-artificial-2020	204	11	neuro	neuro	NNP
hintze-artificial-2020	204	12	-	-	HYPH
hintze-artificial-2020	204	13	evolution	evolution	NN
hintze-artificial-2020	204	14	(	(	-LRB-
hintze-artificial-2020	204	15	Floreano	Floreano	NNP
hintze-artificial-2020	204	16	,	,	,
hintze-artificial-2020	204	17	Dürr	Dürr	NNP
hintze-artificial-2020	204	18	,	,	,
hintze-artificial-2020	204	19	and	and	CC
hintze-artificial-2020	204	20	Mattiussi	Mattiussi	NNP
hintze-artificial-2020	204	21	2008	2008	CD
hintze-artificial-2020	204	22	)	)	-RRB-
hintze-artificial-2020	204	23	.	.	.
hintze-artificial-2020	205	1	Currently	currently	RB
hintze-artificial-2020	205	2	,	,	,
hintze-artificial-2020	205	3	the	the	DT
hintze-artificial-2020	205	4	field	field	NN
hintze-artificial-2020	205	5	of	of	IN
hintze-artificial-2020	205	6	Neuroevolution	Neuroevolution	NNP
hintze-artificial-2020	205	7	is	be	VBZ
hintze-artificial-2020	205	8	in	in	IN
hintze-artificial-2020	205	9	its	-PRON-	PRP$
hintze-artificial-2020	205	10	infancy	infancy	NN
hintze-artificial-2020	205	11	,	,	,
hintze-artificial-2020	205	12	but	but	CC
hintze-artificial-2020	205	13	finding	find	VBG
hintze-artificial-2020	205	14	new	new	JJ
hintze-artificial-2020	205	15	and	and	CC
hintze-artificial-2020	205	16	creative	creative	JJ
hintze-artificial-2020	205	17	solutions	solution	NNS
hintze-artificial-2020	205	18	to	to	TO
hintze-artificial-2020	205	19	otherwise	otherwise	RB
hintze-artificial-2020	205	20	unsolved	unsolved	JJ
hintze-artificial-2020	205	21	problems	problem	NNS
hintze-artificial-2020	205	22	,	,	,
hintze-artificial-2020	205	23	such	such	JJ
hintze-artificial-2020	205	24	as	as	IN
hintze-artificial-2020	205	25	controlling	control	VBG
hintze-artificial-2020	205	26	robots	robot	NNS
hintze-artificial-2020	205	27	driving	drive	VBG
hintze-artificial-2020	205	28	cars	car	NNS
hintze-artificial-2020	205	29	,	,	,
hintze-artificial-2020	205	30	is	be	VBZ
hintze-artificial-2020	205	31	a	a	DT
hintze-artificial-2020	205	32	popular	popular	JJ
hintze-artificial-2020	205	33	area	area	NN
hintze-artificial-2020	205	34	of	of	IN
hintze-artificial-2020	205	35	focus	focus	NN
hintze-artificial-2020	205	36	(	(	-LRB-
hintze-artificial-2020	205	37	Lehman	Lehman	NNP
hintze-artificial-2020	205	38	et	et	NNP
hintze-artificial-2020	205	39	al	al	NNP
hintze-artificial-2020	205	40	.	.	.
hintze-artificial-2020	206	1	2020	2020	CD
hintze-artificial-2020	206	2	)	)	-RRB-
hintze-artificial-2020	206	3	.	.	.
hintze-artificial-2020	207	1	At	at	IN
hintze-artificial-2020	207	2	the	the	DT
hintze-artificial-2020	207	3	same	same	JJ
hintze-artificial-2020	207	4	time	time	NN
hintze-artificial-2020	207	5	,	,	,
hintze-artificial-2020	207	6	memory	memory	NN
hintze-artificial-2020	207	7	formation	formation	NN
hintze-artificial-2020	207	8	(	(	-LRB-
hintze-artificial-2020	207	9	Marstaller	Marstaller	NNP
hintze-artificial-2020	207	10	,	,	,
hintze-artificial-2020	207	11	Hintze	Hintze	NNP
hintze-artificial-2020	207	12	,	,	,
hintze-artificial-2020	207	13	and	and	CC
hintze-artificial-2020	207	14	Adami	Adami	NNP
hintze-artificial-2020	207	15	2013	2013	CD
hintze-artificial-2020	207	16	)	)	-RRB-
hintze-artificial-2020	207	17	,	,	,
hintze-artificial-2020	207	18	information	information	NN
hintze-artificial-2020	207	19	integration	integration	NN
hintze-artificial-2020	207	20	in	in	IN
hintze-artificial-2020	207	21	the	the	DT
hintze-artificial-2020	207	22	brain	brain	NN
hintze-artificial-2020	207	23	(	(	-LRB-
hintze-artificial-2020	207	24	Tononi	Tononi	NNP
hintze-artificial-2020	207	25	2004	2004	CD
hintze-artificial-2020	207	26	)	)	-RRB-
hintze-artificial-2020	207	27	,	,	,
hintze-artificial-2020	207	28	and	and	CC
hintze-artificial-2020	207	29	how	how	WRB
hintze-artificial-2020	207	30	systems	system	NNS
hintze-artificial-2020	207	31	evolve	evolve	VBP
hintze-artificial-2020	207	32	the	the	DT
hintze-artificial-2020	207	33	ability	ability	NN
hintze-artificial-2020	207	34	to	to	TO
hintze-artificial-2020	207	35	learn	learn	VB
hintze-artificial-2020	207	36	(	(	-LRB-
hintze-artificial-2020	207	37	Sheneman	Sheneman	NNP
hintze-artificial-2020	207	38	,	,	,
hintze-artificial-2020	207	39	Schossau	Schossau	NNP
hintze-artificial-2020	207	40	,	,	,
hintze-artificial-2020	207	41	and	and	CC
hintze-artificial-2020	207	42	Hintze	Hintze	NNP
hintze-artificial-2020	207	43	2019	2019	CD
hintze-artificial-2020	207	44	)	)	-RRB-
hintze-artificial-2020	207	45	are	be	VBP
hintze-artificial-2020	207	46	also	also	RB
hintze-artificial-2020	207	47	being	be	VBG
hintze-artificial-2020	207	48	researched	research	VBN
hintze-artificial-2020	207	49	,	,	,
hintze-artificial-2020	207	50	as	as	IN
hintze-artificial-2020	207	51	they	-PRON-	PRP
hintze-artificial-2020	207	52	are	be	VBP
hintze-artificial-2020	207	53	building	build	VBG
hintze-artificial-2020	207	54	blocks	block	NNS
hintze-artificial-2020	207	55	of	of	IN
hintze-artificial-2020	207	56	general	general	JJ
hintze-artificial-2020	207	57	purpose	purpose	NN
hintze-artificial-2020	207	58	intelligence	intelligence	NN
hintze-artificial-2020	207	59	.	.	.
hintze-artificial-2020	208	1	While	while	IN
hintze-artificial-2020	208	2	it	-PRON-	PRP
hintze-artificial-2020	208	3	is	be	VBZ
hintze-artificial-2020	208	4	not	not	RB
hintze-artificial-2020	208	5	clear	clear	JJ
hintze-artificial-2020	208	6	how	how	WRB
hintze-artificial-2020	208	7	thinking	thinking	NN
hintze-artificial-2020	208	8	machines	machine	NNS
hintze-artificial-2020	208	9	will	will	MD
hintze-artificial-2020	208	10	ultimately	ultimately	RB
hintze-artificial-2020	208	11	emerge	emerge	VB
hintze-artificial-2020	208	12	,	,	,
hintze-artificial-2020	208	13	they	-PRON-	PRP
hintze-artificial-2020	208	14	are	be	VBP
hintze-artificial-2020	208	15	on	on	IN
hintze-artificial-2020	208	16	the	the	DT
hintze-artificial-2020	208	17	horizon	horizon	NN
hintze-artificial-2020	208	18	.	.	.
hintze-artificial-2020	209	1	The	the	DT
hintze-artificial-2020	209	2	dualism	dualism	NN
hintze-artificial-2020	209	3	of	of	IN
hintze-artificial-2020	209	4	a	a	DT
hintze-artificial-2020	209	5	quantitative	quantitative	JJ
hintze-artificial-2020	209	6	system	system	NN
hintze-artificial-2020	209	7	that	that	WDT
hintze-artificial-2020	209	8	can	can	MD
hintze-artificial-2020	209	9	be	be	VB
hintze-artificial-2020	209	10	subjective	subjective	JJ
hintze-artificial-2020	209	11	and	and	CC
hintze-artificial-2020	209	12	understand	understand	VB
hintze-artificial-2020	209	13	the	the	DT
hintze-artificial-2020	209	14	qualitative	qualitative	JJ
hintze-artificial-2020	209	15	nature	nature	NN
hintze-artificial-2020	209	16	of	of	IN
hintze-artificial-2020	209	17	existence	existence	NN
hintze-artificial-2020	209	18	makes	make	VBZ
hintze-artificial-2020	209	19	it	-PRON-	PRP
hintze-artificial-2020	209	20	a	a	DT
hintze-artificial-2020	209	21	strange	strange	JJ
hintze-artificial-2020	209	22	artifact	artifact	NN
hintze-artificial-2020	209	23	that	that	WDT
hintze-artificial-2020	209	24	can	can	MD
hintze-artificial-2020	209	25	not	not	RB
hintze-artificial-2020	209	26	be	be	VB
hintze-artificial-2020	209	27	ignored	ignore	VBN
hintze-artificial-2020	209	28	.	.	.
hintze-artificial-2020	210	1	References	References	NNPS
hintze-artificial-2020	210	2	Campbell	Campbell	NNP
hintze-artificial-2020	210	3	,	,	,
hintze-artificial-2020	210	4	Murray	Murray	NNP
hintze-artificial-2020	210	5	,	,	,
hintze-artificial-2020	210	6	A	a	DT
hintze-artificial-2020	210	7	Joseph	Joseph	NNP
hintze-artificial-2020	210	8	Hoane	Hoane	NNP
hintze-artificial-2020	210	9	Jr	Jr	NNP
hintze-artificial-2020	210	10	,	,	,
hintze-artificial-2020	210	11	and	and	CC
hintze-artificial-2020	210	12	Feng	Feng	NNP
hintze-artificial-2020	210	13	-	-	HYPH
hintze-artificial-2020	210	14	hsiung	hsiung	NNP
hintze-artificial-2020	210	15	Hsu	Hsu	NNP
hintze-artificial-2020	210	16	.	.	.
hintze-artificial-2020	211	1	2002	2002	CD
hintze-artificial-2020	211	2	.	.	.
hintze-artificial-2020	212	1	“	"	``
hintze-artificial-2020	212	2	Deep	Deep	NNP
hintze-artificial-2020	212	3	Blue	Blue	NNP
hintze-artificial-2020	212	4	.	.	.
hintze-artificial-2020	212	5	”	"	''
hintze-artificial-2020	212	6	Artificial	Artificial	NNP
hintze-artificial-2020	212	7	Intelligence	Intelligence	NNP
hintze-artificial-2020	212	8	134	134	CD
hintze-artificial-2020	212	9	(	(	-LRB-
hintze-artificial-2020	212	10	1	1	CD
hintze-artificial-2020	212	11	-	-	SYM
hintze-artificial-2020	212	12	2	2	CD
hintze-artificial-2020	212	13	)	)	-RRB-
hintze-artificial-2020	212	14	:	:	:
hintze-artificial-2020	212	15	57	57	CD
hintze-artificial-2020	212	16	-	-	SYM
hintze-artificial-2020	212	17	83	83	CD
hintze-artificial-2020	212	18	.	.	.
hintze-artificial-2020	213	1	El	El	NNP
hintze-artificial-2020	213	2	-	-	HYPH
hintze-artificial-2020	213	3	Boustani	Boustani	NNP
hintze-artificial-2020	213	4	,	,	,
hintze-artificial-2020	213	5	Sami	Sami	NNP
hintze-artificial-2020	213	6	,	,	,
hintze-artificial-2020	213	7	Jacque	Jacque	NNP
hintze-artificial-2020	213	8	P	P	NNP
hintze-artificial-2020	213	9	K	K	NNP
hintze-artificial-2020	213	10	Ip	Ip	NNP
hintze-artificial-2020	213	11	,	,	,
hintze-artificial-2020	213	12	Vincent	Vincent	NNP
hintze-artificial-2020	213	13	Breton	Breton	NNP
hintze-artificial-2020	213	14	-	-	HYPH
hintze-artificial-2020	213	15	Provencher	Provencher	NNP
hintze-artificial-2020	213	16	,	,	,
hintze-artificial-2020	213	17	Graham	Graham	NNP
hintze-artificial-2020	213	18	W	W	NNP
hintze-artificial-2020	213	19	Knott	Knott	NNP
hintze-artificial-2020	213	20	,	,	,
hintze-artificial-2020	213	21	Hiroyuki	Hiroyuki	NNP
hintze-artificial-2020	213	22	Okuno	Okuno	NNP
hintze-artificial-2020	213	23	,	,	,
hintze-artificial-2020	213	24	Haruhiko	Haruhiko	NNP
hintze-artificial-2020	213	25	Bito	Bito	NNP
hintze-artificial-2020	213	26	,	,	,
hintze-artificial-2020	213	27	and	and	CC
hintze-artificial-2020	213	28	Mriganka	Mriganka	NNP
hintze-artificial-2020	213	29	Sur	Sur	NNP
hintze-artificial-2020	213	30	.	.	.
hintze-artificial-2020	214	1	2018	2018	CD
hintze-artificial-2020	214	2	.	.	.
hintze-artificial-2020	215	1	“	"	``
hintze-artificial-2020	215	2	Locally	locally	RB
hintze-artificial-2020	215	3	Coordinated	Coordinated	NNP
hintze-artificial-2020	215	4	Synaptic	Synaptic	NNP
hintze-artificial-2020	215	5	Plasticity	Plasticity	NNP
hintze-artificial-2020	215	6	of	of	IN
hintze-artificial-2020	215	7	Visual	Visual	NNP
hintze-artificial-2020	215	8	Cortex	Cortex	NNP
hintze-artificial-2020	215	9	Neurons	Neurons	NNPS
hintze-artificial-2020	215	10	in	in	IN
hintze-artificial-2020	215	11	Vivo	Vivo	NNP
hintze-artificial-2020	215	12	.	.	.
hintze-artificial-2020	215	13	”	"	''
hintze-artificial-2020	215	14	Science	science	NN
hintze-artificial-2020	215	15	360	360	CD
hintze-artificial-2020	215	16	(	(	-LRB-
hintze-artificial-2020	215	17	6395	6395	CD
hintze-artificial-2020	215	18	)	)	-RRB-
hintze-artificial-2020	215	19	:	:	:
hintze-artificial-2020	215	20	1349	1349	CD
hintze-artificial-2020	215	21	-	-	SYM
hintze-artificial-2020	215	22	54	54	CD
hintze-artificial-2020	215	23	.	.	.
hintze-artificial-2020	216	1	Ferrucci	Ferrucci	NNP
hintze-artificial-2020	216	2	,	,	,
hintze-artificial-2020	216	3	David	David	NNP
hintze-artificial-2020	216	4	,	,	,
hintze-artificial-2020	216	5	Anthony	Anthony	NNP
hintze-artificial-2020	216	6	Levas	Levas	NNP
hintze-artificial-2020	216	7	,	,	,
hintze-artificial-2020	216	8	Sugato	Sugato	NNP
hintze-artificial-2020	216	9	Bagchi	Bagchi	NNP
hintze-artificial-2020	216	10	,	,	,
hintze-artificial-2020	216	11	David	David	NNP
hintze-artificial-2020	216	12	Gondek	Gondek	NNP
hintze-artificial-2020	216	13	,	,	,
hintze-artificial-2020	216	14	and	and	CC
hintze-artificial-2020	216	15	Erik	Erik	NNP
hintze-artificial-2020	216	16	T	T	NNP
hintze-artificial-2020	216	17	Mueller	Mueller	NNP
hintze-artificial-2020	216	18	.	.	.
hintze-artificial-2020	217	1	2013	2013	CD
hintze-artificial-2020	217	2	.	.	.
hintze-artificial-2020	218	1	“	"	``
hintze-artificial-2020	218	2	Watson	watson	NN
hintze-artificial-2020	218	3	:	:	:
hintze-artificial-2020	218	4	Beyond	beyond	IN
hintze-artificial-2020	218	5	Jeopardy	Jeopardy	NNP
hintze-artificial-2020	218	6	!	!	.
hintze-artificial-2020	218	7	”	"	''
hintze-artificial-2020	218	8	Artificial	Artificial	NNP
hintze-artificial-2020	218	9	Intelligence	Intelligence	NNP
hintze-artificial-2020	218	10	199	199	CD
hintze-artificial-2020	218	11	:	:	:
hintze-artificial-2020	218	12	93	93	CD
hintze-artificial-2020	218	13	-	-	SYM
hintze-artificial-2020	218	14	105	105	CD
hintze-artificial-2020	218	15	.	.	.
hintze-artificial-2020	219	1	Fitzpatrick	Fitzpatrick	NNP
hintze-artificial-2020	219	2	,	,	,
hintze-artificial-2020	219	3	Kathleen	Kathleen	NNP
hintze-artificial-2020	219	4	.	.	.
hintze-artificial-2020	220	1	2012	2012	CD
hintze-artificial-2020	220	2	.	.	.
hintze-artificial-2020	221	1	“	"	``
hintze-artificial-2020	221	2	The	the	DT
hintze-artificial-2020	221	3	Humanities	Humanities	NNPS
hintze-artificial-2020	221	4	,	,	,
hintze-artificial-2020	221	5	Done	do	VBN
hintze-artificial-2020	221	6	Digitally	digitally	RB
hintze-artificial-2020	221	7	.	.	.
hintze-artificial-2020	221	8	”	"	''
hintze-artificial-2020	221	9	In	in	IN
hintze-artificial-2020	221	10	Debates	debate	NNS
hintze-artificial-2020	221	11	in	in	IN
hintze-artificial-2020	221	12	the	the	DT
hintze-artificial-2020	221	13	Digital	Digital	NNP
hintze-artificial-2020	221	14	Humanities	Humanities	NNPS
hintze-artificial-2020	221	15	,	,	,
hintze-artificial-2020	221	16	edited	edit	VBN
hintze-artificial-2020	221	17	by	by	IN
hintze-artificial-2020	221	18	Matthew	Matthew	NNP
hintze-artificial-2020	221	19	K.	K.	NNP
hintze-artificial-2020	221	20	Gold	Gold	NNP
hintze-artificial-2020	221	21	,	,	,
hintze-artificial-2020	221	22	12	12	CD
hintze-artificial-2020	221	23	-	-	SYM
hintze-artificial-2020	221	24	15	15	CD
hintze-artificial-2020	221	25	.	.	.
hintze-artificial-2020	222	1	Minneapolis	Minneapolis	NNP
hintze-artificial-2020	222	2	:	:	:
hintze-artificial-2020	222	3	University	University	NNP
hintze-artificial-2020	222	4	of	of	IN
hintze-artificial-2020	222	5	Minnesota	Minnesota	NNP
hintze-artificial-2020	222	6	Press	Press	NNP
hintze-artificial-2020	222	7	.	.	.
hintze-artificial-2020	223	1	Floreano	Floreano	NNP
hintze-artificial-2020	223	2	,	,	,
hintze-artificial-2020	223	3	Dario	Dario	NNP
hintze-artificial-2020	223	4	,	,	,
hintze-artificial-2020	223	5	Peter	Peter	NNP
hintze-artificial-2020	223	6	Dürr	Dürr	NNP
hintze-artificial-2020	223	7	,	,	,
hintze-artificial-2020	223	8	and	and	CC
hintze-artificial-2020	223	9	Claudio	Claudio	NNP
hintze-artificial-2020	223	10	Mattiussi	Mattiussi	NNP
hintze-artificial-2020	223	11	.	.	.
hintze-artificial-2020	224	1	2008	2008	CD
hintze-artificial-2020	224	2	.	.	.
hintze-artificial-2020	225	1	“	"	``
hintze-artificial-2020	225	2	Neuroevolution	neuroevolution	NN
hintze-artificial-2020	225	3	:	:	:
hintze-artificial-2020	225	4	From	from	IN
hintze-artificial-2020	225	5	Architectures	Architectures	NNPS
hintze-artificial-2020	225	6	to	to	IN
hintze-artificial-2020	225	7	Learning	Learning	NNP
hintze-artificial-2020	225	8	.	.	.
hintze-artificial-2020	225	9	”	"	''
hintze-artificial-2020	225	10	Evolutionary	Evolutionary	NNP
hintze-artificial-2020	225	11	Intelligence	Intelligence	NNP
hintze-artificial-2020	225	12	1	1	CD
hintze-artificial-2020	225	13	(	(	-LRB-
hintze-artificial-2020	225	14	1	1	CD
hintze-artificial-2020	225	15	)	)	-RRB-
hintze-artificial-2020	225	16	:	:	:
hintze-artificial-2020	225	17	47	47	CD
hintze-artificial-2020	225	18	-	-	SYM
hintze-artificial-2020	225	19	62	62	CD
hintze-artificial-2020	225	20	.	.	.
hintze-artificial-2020	226	1	French	French	NNP
hintze-artificial-2020	226	2	,	,	,
hintze-artificial-2020	226	3	Robert	Robert	NNP
hintze-artificial-2020	226	4	M.	M.	NNP
hintze-artificial-2020	226	5	1999	1999	CD
hintze-artificial-2020	226	6	.	.	.
hintze-artificial-2020	227	1	“	"	``
hintze-artificial-2020	227	2	Catastrophic	Catastrophic	NNP
hintze-artificial-2020	227	3	Forgetting	Forgetting	NNP
hintze-artificial-2020	227	4	in	in	IN
hintze-artificial-2020	227	5	Connectionist	Connectionist	NNP
hintze-artificial-2020	227	6	Networks	Networks	NNP
hintze-artificial-2020	227	7	.	.	.
hintze-artificial-2020	227	8	”	"	''
hintze-artificial-2020	227	9	Trends	trend	NNS
hintze-artificial-2020	227	10	in	in	IN
hintze-artificial-2020	227	11	Cognitive	Cognitive	NNP
hintze-artificial-2020	227	12	Sciences	Sciences	NNPS
hintze-artificial-2020	227	13	3	3	CD
hintze-artificial-2020	227	14	(	(	-LRB-
hintze-artificial-2020	227	15	4	4	CD
hintze-artificial-2020	227	16	)	)	-RRB-
hintze-artificial-2020	227	17	:	:	:
hintze-artificial-2020	227	18	128	128	CD
hintze-artificial-2020	227	19	-	-	SYM
hintze-artificial-2020	227	20	35	35	CD
hintze-artificial-2020	227	21	.	.	.
hintze-artificial-2020	228	1	Gibney	Gibney	NNP
hintze-artificial-2020	228	2	,	,	,
hintze-artificial-2020	228	3	Elizabeth	Elizabeth	NNP
hintze-artificial-2020	228	4	.	.	.
hintze-artificial-2020	229	1	2016	2016	CD
hintze-artificial-2020	229	2	.	.	.
hintze-artificial-2020	230	1	“	"	``
hintze-artificial-2020	230	2	Google	Google	NNP
hintze-artificial-2020	230	3	AI	AI	NNP
hintze-artificial-2020	230	4	Algorithm	Algorithm	NNP
hintze-artificial-2020	230	5	Masters	Masters	NNP
hintze-artificial-2020	230	6	Ancient	Ancient	NNP
hintze-artificial-2020	230	7	Game	Game	NNP
hintze-artificial-2020	230	8	of	of	IN
hintze-artificial-2020	230	9	Go	Go	NNP
hintze-artificial-2020	230	10	.	.	.
hintze-artificial-2020	230	11	”	"	''
hintze-artificial-2020	230	12	Nature	Nature	NNP
hintze-artificial-2020	230	13	News	News	NNP
hintze-artificial-2020	230	14	529	529	CD
hintze-artificial-2020	230	15	(	(	-LRB-
hintze-artificial-2020	230	16	7587	7587	CD
hintze-artificial-2020	230	17	)	)	-RRB-
hintze-artificial-2020	230	18	:	:	:
hintze-artificial-2020	230	19	445	445	CD
hintze-artificial-2020	230	20	.	.	.
hintze-artificial-2020	231	1	Goodfellow	Goodfellow	NNP
hintze-artificial-2020	231	2	,	,	,
hintze-artificial-2020	231	3	Ian	Ian	NNP
hintze-artificial-2020	231	4	,	,	,
hintze-artificial-2020	231	5	Jean	Jean	NNP
hintze-artificial-2020	231	6	Pouget	Pouget	NNP
hintze-artificial-2020	231	7	-	-	HYPH
hintze-artificial-2020	231	8	Abadie	Abadie	NNP
hintze-artificial-2020	231	9	,	,	,
hintze-artificial-2020	231	10	Mehdi	Mehdi	NNP
hintze-artificial-2020	231	11	Mirza	Mirza	NNP
hintze-artificial-2020	231	12	,	,	,
hintze-artificial-2020	231	13	Bing	Bing	NNP
hintze-artificial-2020	231	14	Xu	Xu	NNP
hintze-artificial-2020	231	15	,	,	,
hintze-artificial-2020	231	16	David	David	NNP
hintze-artificial-2020	231	17	Warde	Warde	NNP
hintze-artificial-2020	231	18	-	-	HYPH
hintze-artificial-2020	231	19	Farley	Farley	NNP
hintze-artificial-2020	231	20	,	,	,
hintze-artificial-2020	231	21	Sherjil	Sherjil	NNP
hintze-artificial-2020	231	22	Ozair	Ozair	NNP
hintze-artificial-2020	231	23	,	,	,
hintze-artificial-2020	231	24	Aaron	Aaron	NNP
hintze-artificial-2020	231	25	Courville	Courville	NNP
hintze-artificial-2020	231	26	,	,	,
hintze-artificial-2020	231	27	and	and	CC
hintze-artificial-2020	231	28	Yoshua	Yoshua	NNP
hintze-artificial-2020	231	29	Bengio	Bengio	NNP
hintze-artificial-2020	231	30	.	.	.
hintze-artificial-2020	232	1	2014	2014	CD
hintze-artificial-2020	232	2	.	.	.
hintze-artificial-2020	233	1	“	"	``
hintze-artificial-2020	233	2	Generative	Generative	NNP
hintze-artificial-2020	233	3	Adversarial	Adversarial	NNP
hintze-artificial-2020	233	4	Nets	Nets	NNPS
hintze-artificial-2020	233	5	.	.	.
hintze-artificial-2020	233	6	”	"	''
hintze-artificial-2020	233	7	In	in	IN
hintze-artificial-2020	233	8	Advances	advance	NNS
hintze-artificial-2020	233	9	in	in	IN
hintze-artificial-2020	233	10	Neural	Neural	NNP
hintze-artificial-2020	233	11	Information	Information	NNP
hintze-artificial-2020	233	12	Processing	Processing	NNP
hintze-artificial-2020	233	13	Systems	Systems	NNP
hintze-artificial-2020	233	14	27	27	CD
hintze-artificial-2020	233	15	(	(	-LRB-
hintze-artificial-2020	233	16	NIPS	NIPS	NNP
hintze-artificial-2020	233	17	2014	2014	CD
hintze-artificial-2020	233	18	)	)	-RRB-
hintze-artificial-2020	233	19	,	,	,
hintze-artificial-2020	233	20	edited	edit	VBN
hintze-artificial-2020	233	21	by	by	IN
hintze-artificial-2020	233	22	Z.	Z.	NNP
hintze-artificial-2020	233	23	Ghahramani	Ghahramani	NNP
hintze-artificial-2020	233	24	,	,	,
hintze-artificial-2020	233	25	M.	M.	NNP
hintze-artificial-2020	233	26	Welling	Welling	NNP
hintze-artificial-2020	233	27	,	,	,
hintze-artificial-2020	233	28	C.	C.	NNP
hintze-artificial-2020	233	29	Cortes	Cortes	NNP
hintze-artificial-2020	233	30	,	,	,
hintze-artificial-2020	233	31	N.D.	North Dakota	NNP
hintze-artificial-2020	233	32	Lawrence	Lawrence	NNP
hintze-artificial-2020	233	33	,	,	,
hintze-artificial-2020	233	34	and	and	CC
hintze-artificial-2020	233	35	K.Q.	K.Q.	NNP
hintze-artificial-2020	234	1	Weinberger	Weinberger	NNP
hintze-artificial-2020	234	2	,	,	,
hintze-artificial-2020	234	3	2672	2672	CD
hintze-artificial-2020	234	4	-	-	SYM
hintze-artificial-2020	234	5	80	80	CD
hintze-artificial-2020	234	6	.	.	.
hintze-artificial-2020	235	1	N.p	N.p	NNP
hintze-artificial-2020	235	2	.	.	.
hintze-artificial-2020	236	1	:	:	:
hintze-artificial-2020	236	2	Neural	Neural	NNP
hintze-artificial-2020	236	3	Information	Information	NNP
hintze-artificial-2020	236	4	Processing	Processing	NNP
hintze-artificial-2020	236	5	Systems	Systems	NNPS
hintze-artificial-2020	236	6	Foundation	Foundation	NNP
hintze-artificial-2020	236	7	.	.	.
hintze-artificial-2020	237	1	Hanahan	Hanahan	NNP
hintze-artificial-2020	237	2	,	,	,
hintze-artificial-2020	237	3	Douglas	Douglas	NNP
hintze-artificial-2020	237	4	,	,	,
hintze-artificial-2020	237	5	and	and	CC
hintze-artificial-2020	237	6	Robert	Robert	NNP
hintze-artificial-2020	237	7	A	A	NNP
hintze-artificial-2020	237	8	Weinberg	Weinberg	NNP
hintze-artificial-2020	237	9	.	.	.
hintze-artificial-2020	238	1	2011	2011	CD
hintze-artificial-2020	238	2	.	.	.
hintze-artificial-2020	239	1	“	"	``
hintze-artificial-2020	239	2	Hallmarks	hallmark	NNS
hintze-artificial-2020	239	3	of	of	IN
hintze-artificial-2020	239	4	Cancer	Cancer	NNP
hintze-artificial-2020	239	5	:	:	:
hintze-artificial-2020	239	6	The	the	DT
hintze-artificial-2020	239	7	Next	Next	NNP
hintze-artificial-2020	239	8	Generation	Generation	NNP
hintze-artificial-2020	239	9	.	.	.
hintze-artificial-2020	239	10	”	"	''
hintze-artificial-2020	239	11	Cell	cell	NN
hintze-artificial-2020	239	12	144	144	CD
hintze-artificial-2020	239	13	(	(	-LRB-
hintze-artificial-2020	239	14	5	5	CD
hintze-artificial-2020	239	15	)	)	-RRB-
hintze-artificial-2020	239	16	:	:	:
hintze-artificial-2020	239	17	646	646	CD
hintze-artificial-2020	239	18	-	-	SYM
hintze-artificial-2020	239	19	74	74	CD
hintze-artificial-2020	239	20	.	.	.
hintze-artificial-2020	240	1	Kandel	Kandel	NNP
hintze-artificial-2020	240	2	,	,	,
hintze-artificial-2020	240	3	Eric	Eric	NNP
hintze-artificial-2020	240	4	R	R	NNP
hintze-artificial-2020	240	5	,	,	,
hintze-artificial-2020	240	6	James	James	NNP
hintze-artificial-2020	240	7	H	H	NNP
hintze-artificial-2020	240	8	Schwartz	Schwartz	NNP
hintze-artificial-2020	240	9	,	,	,
hintze-artificial-2020	240	10	and	and	CC
hintze-artificial-2020	240	11	Thomas	Thomas	NNP
hintze-artificial-2020	240	12	M	M	NNP
hintze-artificial-2020	240	13	Jessell	Jessell	NNP
hintze-artificial-2020	240	14	.	.	.
hintze-artificial-2020	241	1	2000	2000	CD
hintze-artificial-2020	241	2	.	.	.
hintze-artificial-2020	242	1	Principles	principle	NNS
hintze-artificial-2020	242	2	of	of	IN
hintze-artificial-2020	242	3	Neural	Neural	NNP
hintze-artificial-2020	242	4	Science	Science	NNP
hintze-artificial-2020	242	5	.	.	.
hintze-artificial-2020	243	1	4th	4th	NNP
hintze-artificial-2020	243	2	ed	ed	NNP
hintze-artificial-2020	243	3	.	.	.
hintze-artificial-2020	244	1	New	New	NNP
hintze-artificial-2020	244	2	York	York	NNP
hintze-artificial-2020	244	3	:	:	:
hintze-artificial-2020	244	4	McGraw	McGraw	NNP
hintze-artificial-2020	244	5	-	-	HYPH
hintze-artificial-2020	244	6	Hill	Hill	NNP
hintze-artificial-2020	244	7	.	.	.
hintze-artificial-2020	245	1	Kriegeskorte	Kriegeskorte	NNP
hintze-artificial-2020	245	2	,	,	,
hintze-artificial-2020	245	3	Nikolaus	Nikolaus	NNP
hintze-artificial-2020	245	4	,	,	,
hintze-artificial-2020	245	5	and	and	CC
hintze-artificial-2020	245	6	Pamela	Pamela	NNP
hintze-artificial-2020	245	7	K	K	NNP
hintze-artificial-2020	245	8	Douglas	Douglas	NNP
hintze-artificial-2020	245	9	.	.	.
hintze-artificial-2020	246	1	2018	2018	CD
hintze-artificial-2020	246	2	.	.	.
hintze-artificial-2020	247	1	“	"	``
hintze-artificial-2020	247	2	Cognitive	Cognitive	NNP
hintze-artificial-2020	247	3	Computational	Computational	NNP
hintze-artificial-2020	247	4	Neuroscience	neuroscience	NN
hintze-artificial-2020	247	5	.	.	.
hintze-artificial-2020	247	6	”	"	''
hintze-artificial-2020	247	7	Nature	Nature	NNP
hintze-artificial-2020	247	8	Neuroscience	Neuroscience	NNP
hintze-artificial-2020	247	9	21	21	CD
hintze-artificial-2020	247	10	:	:	SYM
hintze-artificial-2020	247	11	1148	1148	CD
hintze-artificial-2020	247	12	-	-	SYM
hintze-artificial-2020	247	13	60	60	CD
hintze-artificial-2020	247	14	.	.	.
hintze-artificial-2020	248	1	Lehman	Lehman	NNP
hintze-artificial-2020	248	2	,	,	,
hintze-artificial-2020	248	3	Joel	Joel	NNP
hintze-artificial-2020	248	4	et	et	NNP
hintze-artificial-2020	248	5	al	al	NNP
hintze-artificial-2020	248	6	.	.	.
hintze-artificial-2020	249	1	2020	2020	CD
hintze-artificial-2020	249	2	.	.	.
hintze-artificial-2020	250	1	“	"	``
hintze-artificial-2020	250	2	The	the	DT
hintze-artificial-2020	250	3	Surprising	Surprising	NNP
hintze-artificial-2020	250	4	Creativity	Creativity	NNP
hintze-artificial-2020	250	5	of	of	IN
hintze-artificial-2020	250	6	Digital	Digital	NNP
hintze-artificial-2020	250	7	Evolution	Evolution	NNP
hintze-artificial-2020	250	8	:	:	:
hintze-artificial-2020	250	9	A	a	DT
hintze-artificial-2020	250	10	Collection	Collection	NNP
hintze-artificial-2020	250	11	of	of	IN
hintze-artificial-2020	250	12	Anecdotes	Anecdotes	NNPS
hintze-artificial-2020	250	13	from	from	IN
hintze-artificial-2020	250	14	the	the	DT
hintze-artificial-2020	250	15	Evolutionary	Evolutionary	NNP
hintze-artificial-2020	250	16	Computation	Computation	NNP
hintze-artificial-2020	250	17	and	and	CC
hintze-artificial-2020	250	18	Artificial	Artificial	NNP
hintze-artificial-2020	250	19	Life	Life	NNP
hintze-artificial-2020	250	20	Research	Research	NNP
hintze-artificial-2020	250	21	Communities	Communities	NNPS
hintze-artificial-2020	250	22	.	.	.
hintze-artificial-2020	250	23	”	"	''
hintze-artificial-2020	250	24	Artificial	Artificial	NNP
hintze-artificial-2020	250	25	Life	Life	NNP
hintze-artificial-2020	250	26	26	26	CD
hintze-artificial-2020	250	27	(	(	-LRB-
hintze-artificial-2020	250	28	2	2	CD
hintze-artificial-2020	250	29	)	)	-RRB-
hintze-artificial-2020	250	30	:	:	:
hintze-artificial-2020	250	31	274	274	CD
hintze-artificial-2020	250	32	-	-	SYM
hintze-artificial-2020	250	33	306	306	CD
hintze-artificial-2020	250	34	.	.	.
hintze-artificial-2020	251	1	López	López	NNP
hintze-artificial-2020	251	2	,	,	,
hintze-artificial-2020	251	3	Gustavo	Gustavo	NNP
hintze-artificial-2020	251	4	,	,	,
hintze-artificial-2020	251	5	Luis	Luis	NNP
hintze-artificial-2020	251	6	Quesada	Quesada	NNP
hintze-artificial-2020	251	7	,	,	,
hintze-artificial-2020	251	8	and	and	CC
hintze-artificial-2020	251	9	Luis	Luis	NNP
hintze-artificial-2020	251	10	A	A	NNP
hintze-artificial-2020	251	11	Guerrero	Guerrero	NNP
hintze-artificial-2020	251	12	.	.	.
hintze-artificial-2020	252	1	2017	2017	CD
hintze-artificial-2020	252	2	.	.	.
hintze-artificial-2020	253	1	“	"	``
hintze-artificial-2020	253	2	Alexa	Alexa	NNP
hintze-artificial-2020	253	3	vs.	vs.	FW
hintze-artificial-2020	253	4	Siri	Siri	NNP
hintze-artificial-2020	253	5	vs.	vs.	IN
hintze-artificial-2020	253	6	Cortana	Cortana	NNP
hintze-artificial-2020	253	7	vs.	vs.	IN
hintze-artificial-2020	253	8	Google	Google	NNP
hintze-artificial-2020	253	9	Assistant	Assistant	NNP
hintze-artificial-2020	253	10	:	:	:
hintze-artificial-2020	253	11	A	a	DT
hintze-artificial-2020	253	12	Comparison	Comparison	NNP
hintze-artificial-2020	253	13	of	of	IN
hintze-artificial-2020	253	14	Speech	Speech	NNP
hintze-artificial-2020	253	15	-	-	HYPH
hintze-artificial-2020	253	16	Based	base	VBN
hintze-artificial-2020	253	17	Natural	Natural	NNP
hintze-artificial-2020	253	18	User	User	NNP
hintze-artificial-2020	253	19	Interfaces	Interfaces	NNPS
hintze-artificial-2020	253	20	.	.	.
hintze-artificial-2020	253	21	”	"	''
hintze-artificial-2020	253	22	In	in	IN
hintze-artificial-2020	253	23	International	International	NNP
hintze-artificial-2020	253	24	Conference	Conference	NNP
hintze-artificial-2020	253	25	on	on	IN
hintze-artificial-2020	253	26	Applied	Applied	NNP
hintze-artificial-2020	253	27	Human	Human	NNP
hintze-artificial-2020	253	28	Factors	Factors	NNPS
hintze-artificial-2020	253	29	and	and	CC
hintze-artificial-2020	253	30	Ergonomics	Ergonomics	NNPS
hintze-artificial-2020	253	31	,	,	,
hintze-artificial-2020	253	32	edited	edit	VBN
hintze-artificial-2020	253	33	by	by	IN
hintze-artificial-2020	253	34	Isabel	Isabel	NNP
hintze-artificial-2020	253	35	L.	L.	NNP
hintze-artificial-2020	253	36	Nunes	Nunes	NNP
hintze-artificial-2020	253	37	,	,	,
hintze-artificial-2020	253	38	241	241	CD
hintze-artificial-2020	253	39	-	-	SYM
hintze-artificial-2020	253	40	50	50	CD
hintze-artificial-2020	253	41	.	.	.
hintze-artificial-2020	254	1	Cham	Cham	NNP
hintze-artificial-2020	254	2	:	:	:
hintze-artificial-2020	254	3	Springer	Springer	NNP
hintze-artificial-2020	254	4	.	.	.
hintze-artificial-2020	255	1	Marstaller	Marstaller	NNP
hintze-artificial-2020	255	2	,	,	,
hintze-artificial-2020	255	3	Lars	Lars	NNP
hintze-artificial-2020	255	4	,	,	,
hintze-artificial-2020	255	5	Arend	Arend	NNP
hintze-artificial-2020	255	6	Hintze	Hintze	NNP
hintze-artificial-2020	255	7	,	,	,
hintze-artificial-2020	255	8	and	and	CC
hintze-artificial-2020	255	9	Christoph	Christoph	NNP
hintze-artificial-2020	255	10	Adami	Adami	NNP
hintze-artificial-2020	255	11	.	.	.
hintze-artificial-2020	256	1	2013	2013	CD
hintze-artificial-2020	256	2	.	.	.
hintze-artificial-2020	257	1	“	"	``
hintze-artificial-2020	257	2	The	the	DT
hintze-artificial-2020	257	3	Evolution	Evolution	NNP
hintze-artificial-2020	257	4	of	of	IN
hintze-artificial-2020	257	5	Representation	Representation	NNP
hintze-artificial-2020	257	6	in	in	IN
hintze-artificial-2020	257	7	Simple	Simple	NNP
hintze-artificial-2020	257	8	Cognitive	Cognitive	NNP
hintze-artificial-2020	257	9	Networks	Networks	NNP
hintze-artificial-2020	257	10	.	.	.
hintze-artificial-2020	257	11	”	"	''
hintze-artificial-2020	257	12	Neural	Neural	NNP
hintze-artificial-2020	257	13	Computation	Computation	NNP
hintze-artificial-2020	257	14	25	25	CD
hintze-artificial-2020	257	15	(	(	-LRB-
hintze-artificial-2020	257	16	8)	8)	CD
hintze-artificial-2020	257	17	:	:	:
hintze-artificial-2020	257	18	2079	2079	CD
hintze-artificial-2020	257	19	-	-	SYM
hintze-artificial-2020	257	20	2107	2107	CD
hintze-artificial-2020	257	21	.	.	.
hintze-artificial-2020	258	1	Nawrocki	Nawrocki	NNP
hintze-artificial-2020	258	2	,	,	,
hintze-artificial-2020	258	3	Robert	Robert	NNP
hintze-artificial-2020	258	4	A	A	NNP
hintze-artificial-2020	258	5	,	,	,
hintze-artificial-2020	258	6	Richard	Richard	NNP
hintze-artificial-2020	258	7	M	M	NNP
hintze-artificial-2020	258	8	Voyles	Voyles	NNP
hintze-artificial-2020	258	9	,	,	,
hintze-artificial-2020	258	10	and	and	CC
hintze-artificial-2020	258	11	Sean	Sean	NNP
hintze-artificial-2020	258	12	E	E	NNP
hintze-artificial-2020	258	13	Shaheen	Shaheen	NNP
hintze-artificial-2020	258	14	.	.	.
hintze-artificial-2020	259	1	2016	2016	CD
hintze-artificial-2020	259	2	.	.	.
hintze-artificial-2020	260	1	“	"	``
hintze-artificial-2020	260	2	A	a	DT
hintze-artificial-2020	260	3	Mini	Mini	NNP
hintze-artificial-2020	260	4	Review	Review	NNP
hintze-artificial-2020	260	5	of	of	IN
hintze-artificial-2020	260	6	Neuromorphic	Neuromorphic	NNP
hintze-artificial-2020	260	7	Architectures	Architectures	NNPS
hintze-artificial-2020	260	8	and	and	CC
hintze-artificial-2020	260	9	Implementations	Implementations	NNPS
hintze-artificial-2020	260	10	.	.	.
hintze-artificial-2020	260	11	”	"	''
hintze-artificial-2020	260	12	IEEE	IEEE	NNP
hintze-artificial-2020	260	13	Transactions	transaction	NNS
hintze-artificial-2020	260	14	on	on	IN
hintze-artificial-2020	260	15	Electron	Electron	NNP
hintze-artificial-2020	260	16	Devices	Devices	NNP
hintze-artificial-2020	260	17	63	63	CD
hintze-artificial-2020	260	18	(	(	-LRB-
hintze-artificial-2020	260	19	10	10	CD
hintze-artificial-2020	260	20	)	)	-RRB-
hintze-artificial-2020	260	21	:	:	:
hintze-artificial-2020	260	22	3819	3819	CD
hintze-artificial-2020	260	23	-	-	SYM
hintze-artificial-2020	260	24	29	29	CD
hintze-artificial-2020	260	25	.	.	.
hintze-artificial-2020	261	1	Nguyen	Nguyen	NNP
hintze-artificial-2020	261	2	,	,	,
hintze-artificial-2020	261	3	Anh	Anh	NNP
hintze-artificial-2020	261	4	,	,	,
hintze-artificial-2020	261	5	Jason	Jason	NNP
hintze-artificial-2020	261	6	Yosinski	Yosinski	NNP
hintze-artificial-2020	261	7	,	,	,
hintze-artificial-2020	261	8	and	and	CC
hintze-artificial-2020	261	9	Jeff	Jeff	NNP
hintze-artificial-2020	261	10	Clune	Clune	NNP
hintze-artificial-2020	261	11	.	.	.
hintze-artificial-2020	262	1	2015	2015	CD
hintze-artificial-2020	262	2	.	.	.
hintze-artificial-2020	263	1	“	"	``
hintze-artificial-2020	263	2	Deep	deep	JJ
hintze-artificial-2020	263	3	Neural	neural	NN
hintze-artificial-2020	263	4	Networks	network	NNS
hintze-artificial-2020	263	5	Are	be	VBP
hintze-artificial-2020	263	6	Easily	easily	RB
hintze-artificial-2020	263	7	Fooled	fool	VBN
hintze-artificial-2020	263	8	:	:	:
hintze-artificial-2020	263	9	High	High	NNP
hintze-artificial-2020	263	10	Confidence	confidence	NN
hintze-artificial-2020	263	11	Predictions	prediction	NNS
hintze-artificial-2020	263	12	for	for	IN
hintze-artificial-2020	263	13	Unrecognizable	unrecognizable	JJ
hintze-artificial-2020	263	14	Images	image	NNS
hintze-artificial-2020	263	15	.	.	.
hintze-artificial-2020	263	16	”	"	''
hintze-artificial-2020	263	17	In	in	IN
hintze-artificial-2020	263	18	Proceedings	Proceedings	NNP
hintze-artificial-2020	263	19	of	of	IN
hintze-artificial-2020	263	20	the	the	DT
hintze-artificial-2020	263	21	IEEE	IEEE	NNP
hintze-artificial-2020	263	22	Conference	Conference	NNP
hintze-artificial-2020	263	23	on	on	IN
hintze-artificial-2020	263	24	Computer	Computer	NNP
hintze-artificial-2020	263	25	Vision	Vision	NNP
hintze-artificial-2020	263	26	and	and	CC
hintze-artificial-2020	263	27	Pattern	Pattern	NNP
hintze-artificial-2020	263	28	Recognition	Recognition	NNP
hintze-artificial-2020	263	29	(	(	-LRB-
hintze-artificial-2020	263	30	CVPR	CVPR	NNP
hintze-artificial-2020	263	31	)	)	-RRB-
hintze-artificial-2020	263	32	,	,	,
hintze-artificial-2020	263	33	427	427	CD
hintze-artificial-2020	263	34	-	-	SYM
hintze-artificial-2020	263	35	36	36	CD
hintze-artificial-2020	263	36	.	.	.
hintze-artificial-2020	264	1	N.p	N.p	NNP
hintze-artificial-2020	264	2	.	.	.
hintze-artificial-2020	265	1	:	:	:
hintze-artificial-2020	265	2	IEEE	IEEE	NNP
hintze-artificial-2020	265	3	.	.	.
hintze-artificial-2020	266	1	Poo	poo	VB
hintze-artificial-2020	266	2	,	,	,
hintze-artificial-2020	266	3	Mu	Mu	NNP
hintze-artificial-2020	266	4	-	-	HYPH
hintze-artificial-2020	266	5	ming	ming	NNP
hintze-artificial-2020	266	6	et	et	NNP
hintze-artificial-2020	266	7	al	al	NNP
hintze-artificial-2020	266	8	.	.	.
hintze-artificial-2020	267	1	2016	2016	CD
hintze-artificial-2020	267	2	.	.	.
hintze-artificial-2020	268	1	“	"	``
hintze-artificial-2020	268	2	What	what	WP
hintze-artificial-2020	268	3	Is	be	VBZ
hintze-artificial-2020	268	4	Memory	memory	NN
hintze-artificial-2020	268	5	?	?	.
hintze-artificial-2020	269	1	The	the	DT
hintze-artificial-2020	269	2	Present	Present	NNP
hintze-artificial-2020	269	3	State	State	NNP
hintze-artificial-2020	269	4	of	of	IN
hintze-artificial-2020	269	5	the	the	DT
hintze-artificial-2020	269	6	Engram	Engram	NNP
hintze-artificial-2020	269	7	.	.	.
hintze-artificial-2020	269	8	”	"	''
hintze-artificial-2020	269	9	BMC	BMC	NNP
hintze-artificial-2020	269	10	Biology	Biology	NNP
hintze-artificial-2020	269	11	14	14	CD
hintze-artificial-2020	269	12	:	:	SYM
hintze-artificial-2020	269	13	1	1	CD
hintze-artificial-2020	269	14	-	-	SYM
hintze-artificial-2020	269	15	18	18	CD
hintze-artificial-2020	269	16	.	.	.
hintze-artificial-2020	270	1	Russell	Russell	NNP
hintze-artificial-2020	270	2	,	,	,
hintze-artificial-2020	270	3	Stuart	Stuart	NNP
hintze-artificial-2020	270	4	J	J	NNP
hintze-artificial-2020	270	5	,	,	,
hintze-artificial-2020	270	6	and	and	CC
hintze-artificial-2020	270	7	Peter	Peter	NNP
hintze-artificial-2020	270	8	Norvig	Norvig	NNP
hintze-artificial-2020	270	9	.	.	.
hintze-artificial-2020	271	1	2016	2016	CD
hintze-artificial-2020	271	2	.	.	.
hintze-artificial-2020	272	1	Artificial	Artificial	NNP
hintze-artificial-2020	272	2	Intelligence	Intelligence	NNP
hintze-artificial-2020	272	3	:	:	:
hintze-artificial-2020	272	4	A	A	NNP
hintze-artificial-2020	272	5	Modern	Modern	NNP
hintze-artificial-2020	272	6	Approach	Approach	NNP
hintze-artificial-2020	272	7	.	.	.
hintze-artificial-2020	273	1	Malaysia	Malaysia	NNP
hintze-artificial-2020	273	2	:	:	:
hintze-artificial-2020	273	3	Pearson	Pearson	NNP
hintze-artificial-2020	273	4	Education	Education	NNP
hintze-artificial-2020	273	5	Limited	Limited	NNP
hintze-artificial-2020	273	6	.	.	.
hintze-artificial-2020	274	1	Schacter	Schacter	NNP
hintze-artificial-2020	274	2	,	,	,
hintze-artificial-2020	274	3	Daniel	Daniel	NNP
hintze-artificial-2020	274	4	L	L	NNP
hintze-artificial-2020	274	5	,	,	,
hintze-artificial-2020	274	6	C	C	NNP
hintze-artificial-2020	274	7	-	-	HYPH
hintze-artificial-2020	274	8	Y	Y	NNP
hintze-artificial-2020	274	9	Peter	Peter	NNP
hintze-artificial-2020	274	10	Chiu	Chiu	NNP
hintze-artificial-2020	274	11	,	,	,
hintze-artificial-2020	274	12	and	and	CC
hintze-artificial-2020	274	13	Kevin	Kevin	NNP
hintze-artificial-2020	274	14	N	N	NNP
hintze-artificial-2020	274	15	Ochsner	Ochsner	NNP
hintze-artificial-2020	274	16	.	.	.
hintze-artificial-2020	275	1	1993	1993	CD
hintze-artificial-2020	275	2	.	.	.
hintze-artificial-2020	276	1	“	"	``
hintze-artificial-2020	276	2	Implicit	implicit	JJ
hintze-artificial-2020	276	3	Memory	memory	NN
hintze-artificial-2020	276	4	:	:	:
hintze-artificial-2020	276	5	A	a	DT
hintze-artificial-2020	276	6	Selective	Selective	NNP
hintze-artificial-2020	276	7	Review	Review	NNP
hintze-artificial-2020	276	8	.	.	.
hintze-artificial-2020	276	9	”	"	''
hintze-artificial-2020	276	10	Annual	Annual	NNP
hintze-artificial-2020	276	11	Review	Review	NNP
hintze-artificial-2020	276	12	of	of	IN
hintze-artificial-2020	276	13	Neuroscience	Neuroscience	NNP
hintze-artificial-2020	276	14	16	16	CD
hintze-artificial-2020	276	15	(	(	-LRB-
hintze-artificial-2020	276	16	1	1	CD
hintze-artificial-2020	276	17	)	)	-RRB-
hintze-artificial-2020	276	18	:	:	:
hintze-artificial-2020	276	19	159	159	CD
hintze-artificial-2020	276	20	-	-	SYM
hintze-artificial-2020	276	21	82	82	CD
hintze-artificial-2020	276	22	.	.	.
hintze-artificial-2020	277	1	Sheneman	Sheneman	NNP
hintze-artificial-2020	277	2	,	,	,
hintze-artificial-2020	277	3	Leigh	Leigh	NNP
hintze-artificial-2020	277	4	,	,	,
hintze-artificial-2020	277	5	Jory	Jory	NNP
hintze-artificial-2020	277	6	Schossau	Schossau	NNP
hintze-artificial-2020	277	7	,	,	,
hintze-artificial-2020	277	8	and	and	CC
hintze-artificial-2020	277	9	Arend	Arend	NNP
hintze-artificial-2020	277	10	Hintze	Hintze	NNP
hintze-artificial-2020	277	11	.	.	.
hintze-artificial-2020	278	1	2019	2019	CD
hintze-artificial-2020	278	2	.	.	.
hintze-artificial-2020	279	1	“	"	``
hintze-artificial-2020	279	2	The	the	DT
hintze-artificial-2020	279	3	Evolution	Evolution	NNP
hintze-artificial-2020	279	4	of	of	IN
hintze-artificial-2020	279	5	Neuroplasticity	Neuroplasticity	NNP
hintze-artificial-2020	279	6	and	and	CC
hintze-artificial-2020	279	7	the	the	DT
hintze-artificial-2020	279	8	Effect	Effect	NNP
hintze-artificial-2020	279	9	on	on	IN
hintze-artificial-2020	279	10	Integrated	Integrated	NNP
hintze-artificial-2020	279	11	Information	Information	NNP
hintze-artificial-2020	279	12	.	.	.
hintze-artificial-2020	279	13	”	"	''
hintze-artificial-2020	279	14	Entropy	Entropy	NNP
hintze-artificial-2020	279	15	21	21	CD
hintze-artificial-2020	279	16	(	(	-LRB-
hintze-artificial-2020	279	17	5	5	CD
hintze-artificial-2020	279	18	)	)	-RRB-
hintze-artificial-2020	279	19	:	:	:
hintze-artificial-2020	279	20	1	1	CD
hintze-artificial-2020	279	21	-	-	SYM
hintze-artificial-2020	279	22	15	15	CD
hintze-artificial-2020	279	23	.	.	.
hintze-artificial-2020	280	1	Tilman	Tilman	NNP
hintze-artificial-2020	280	2	,	,	,
hintze-artificial-2020	280	3	David	David	NNP
hintze-artificial-2020	280	4	.	.	.
hintze-artificial-2020	281	1	1996	1996	CD
hintze-artificial-2020	281	2	.	.	.
hintze-artificial-2020	282	1	“	"	``
hintze-artificial-2020	282	2	Biodiversity	biodiversity	NN
hintze-artificial-2020	282	3	:	:	:
hintze-artificial-2020	282	4	Population	population	NN
hintze-artificial-2020	282	5	versus	versus	IN
hintze-artificial-2020	282	6	Ecosystem	Ecosystem	NNP
hintze-artificial-2020	282	7	Stability	Stability	NNP
hintze-artificial-2020	282	8	.	.	.
hintze-artificial-2020	282	9	”	"	''
hintze-artificial-2020	282	10	Ecology	Ecology	NNP
hintze-artificial-2020	282	11	77	77	CD
hintze-artificial-2020	282	12	(	(	-LRB-
hintze-artificial-2020	282	13	2	2	CD
hintze-artificial-2020	282	14	)	)	-RRB-
hintze-artificial-2020	282	15	:	:	:
hintze-artificial-2020	282	16	350	350	CD
hintze-artificial-2020	282	17	-	-	SYM
hintze-artificial-2020	282	18	63	63	CD
hintze-artificial-2020	282	19	.	.	.
hintze-artificial-2020	283	1	Tononi	Tononi	NNP
hintze-artificial-2020	283	2	,	,	,
hintze-artificial-2020	283	3	Giulio	Giulio	NNP
hintze-artificial-2020	283	4	.	.	.
hintze-artificial-2020	284	1	2004	2004	CD
hintze-artificial-2020	284	2	.	.	.
hintze-artificial-2020	285	1	“	"	``
hintze-artificial-2020	285	2	An	an	DT
hintze-artificial-2020	285	3	Information	Information	NNP
hintze-artificial-2020	285	4	Integration	Integration	NNP
hintze-artificial-2020	285	5	Theory	Theory	NNP
hintze-artificial-2020	285	6	of	of	IN
hintze-artificial-2020	285	7	Consciousness	Consciousness	NNP
hintze-artificial-2020	285	8	.	.	.
hintze-artificial-2020	285	9	”	"	''
hintze-artificial-2020	285	10	BMC	BMC	NNP
hintze-artificial-2020	285	11	Neuroscience	Neuroscience	NNP
hintze-artificial-2020	285	12	5	5	CD
hintze-artificial-2020	285	13	:	:	SYM
hintze-artificial-2020	285	14	1	1	CD
hintze-artificial-2020	285	15	-	-	SYM
hintze-artificial-2020	285	16	22	22	CD
hintze-artificial-2020	285	17	.	.	.
hintze-artificial-2020	286	1	Weber	Weber	NNP
hintze-artificial-2020	286	2	,	,	,
hintze-artificial-2020	286	3	Bruce	Bruce	NNP
hintze-artificial-2020	286	4	H	H	NNP
hintze-artificial-2020	286	5	,	,	,
hintze-artificial-2020	286	6	and	and	CC
hintze-artificial-2020	286	7	David	David	NNP
hintze-artificial-2020	286	8	J	J	NNP
hintze-artificial-2020	286	9	Depew	Depew	NNP
hintze-artificial-2020	286	10	.	.	.
hintze-artificial-2020	287	1	2003	2003	CD
hintze-artificial-2020	287	2	.	.	.
hintze-artificial-2020	288	1	Evolution	Evolution	NNP
hintze-artificial-2020	288	2	and	and	CC
hintze-artificial-2020	288	3	Learning	Learning	NNP
hintze-artificial-2020	288	4	:	:	:
hintze-artificial-2020	288	5	The	the	DT
hintze-artificial-2020	288	6	Baldwin	Baldwin	NNP
hintze-artificial-2020	288	7	Effect	Effect	NNP
hintze-artificial-2020	288	8	Reconsidered	reconsider	VBN
hintze-artificial-2020	288	9	.	.	.
hintze-artificial-2020	289	1	Cambridge	Cambridge	NNP
hintze-artificial-2020	289	2	,	,	,
hintze-artificial-2020	289	3	MA	MA	NNP
hintze-artificial-2020	289	4	:	:	:
hintze-artificial-2020	289	5	Mit	Mit	NNP
hintze-artificial-2020	289	6	Press	Press	NNP
hintze-artificial-2020	289	7	.	.	.
hintze-artificial-2020	290	1	Yampolskiy	Yampolskiy	NNP
hintze-artificial-2020	290	2	,	,	,
hintze-artificial-2020	290	3	Roman	Roman	NNP
hintze-artificial-2020	290	4	V	v	NN
hintze-artificial-2020	290	5	,	,	,
hintze-artificial-2020	290	6	and	and	CC
hintze-artificial-2020	290	7	Joshua	Joshua	NNP
hintze-artificial-2020	290	8	Fox	Fox	NNP
hintze-artificial-2020	290	9	.	.	.
hintze-artificial-2020	291	1	2012	2012	CD
hintze-artificial-2020	291	2	.	.	.
hintze-artificial-2020	292	1	“	"	``
hintze-artificial-2020	292	2	Artificial	Artificial	NNP
hintze-artificial-2020	292	3	General	General	NNP
hintze-artificial-2020	292	4	Intelligence	Intelligence	NNP
hintze-artificial-2020	292	5	and	and	CC
hintze-artificial-2020	292	6	the	the	DT
hintze-artificial-2020	292	7	Human	Human	NNP
hintze-artificial-2020	292	8	Mental	Mental	NNP
hintze-artificial-2020	292	9	Model	Model	NNP
hintze-artificial-2020	292	10	.	.	.
hintze-artificial-2020	292	11	”	"	''
hintze-artificial-2020	292	12	In	in	IN
hintze-artificial-2020	292	13	Singularity	singularity	NN
hintze-artificial-2020	292	14	Hypotheses	hypothesis	NNS
hintze-artificial-2020	292	15	:	:	:
hintze-artificial-2020	292	16	A	a	DT
hintze-artificial-2020	292	17	Scientific	Scientific	NNP
hintze-artificial-2020	292	18	and	and	CC
hintze-artificial-2020	292	19	Philosophical	Philosophical	NNP
hintze-artificial-2020	292	20	Assessment	Assessment	NNP
hintze-artificial-2020	292	21	,	,	,
hintze-artificial-2020	292	22	edited	edit	VBN
hintze-artificial-2020	292	23	by	by	IN
hintze-artificial-2020	292	24	Ammon	Ammon	NNP
hintze-artificial-2020	292	25	H.	H.	NNP
hintze-artificial-2020	292	26	Eden	Eden	NNP
hintze-artificial-2020	292	27	,	,	,
hintze-artificial-2020	292	28	James	James	NNP
hintze-artificial-2020	292	29	H.	H.	NNP
hintze-artificial-2020	292	30	Moor	Moor	NNP
hintze-artificial-2020	292	31	,	,	,
hintze-artificial-2020	292	32	Johnny	Johnny	NNP
hintze-artificial-2020	292	33	H.	H.	NNP
hintze-artificial-2020	292	34	Søraker	Søraker	NNP
hintze-artificial-2020	292	35	,	,	,
hintze-artificial-2020	292	36	and	and	CC
hintze-artificial-2020	292	37	Erik	Erik	NNP
hintze-artificial-2020	292	38	Steinhart	Steinhart	NNP
hintze-artificial-2020	292	39	,	,	,
hintze-artificial-2020	292	40	129	129	CD
hintze-artificial-2020	292	41	-	-	SYM
hintze-artificial-2020	292	42	45	45	CD
hintze-artificial-2020	292	43	.	.	.
hintze-artificial-2020	293	1	Heidelberg	Heidelberg	NNP
hintze-artificial-2020	293	2	:	:	:
hintze-artificial-2020	293	3	Springer	Springer	NNP
hintze-artificial-2020	293	4	.	.	.