id	sid	tid	token	lemma	pos
dn39x061h09	1	1	a	a	DET
dn39x061h09	1	2	significant	significant	ADJ
dn39x061h09	1	3	increase	increase	NOUN
dn39x061h09	1	4	in	in	ADP
dn39x061h09	1	5	the	the	DET
dn39x061h09	1	6	ability	ability	NOUN
dn39x061h09	1	7	to	to	PART
dn39x061h09	1	8	collect	collect	VERB
dn39x061h09	1	9	and	and	CCONJ
dn39x061h09	1	10	store	store	VERB
dn39x061h09	1	11	diverse	diverse	ADJ
dn39x061h09	1	12	information	information	NOUN
dn39x061h09	1	13	over	over	ADP
dn39x061h09	1	14	the	the	DET
dn39x061h09	1	15	past	past	ADJ
dn39x061h09	1	16	decade	decade	NOUN
dn39x061h09	1	17	has	have	AUX
dn39x061h09	1	18	led	lead	VERB
dn39x061h09	1	19	to	to	ADP
dn39x061h09	1	20	an	an	DET
dn39x061h09	1	21	outright	outright	ADJ
dn39x061h09	1	22	data	data	NOUN
dn39x061h09	1	23	explosion	explosion	NOUN
dn39x061h09	1	24	,	,	PUNCT
dn39x061h09	1	25	providing	provide	VERB
dn39x061h09	1	26	larger	large	ADJ
dn39x061h09	1	27	and	and	CCONJ
dn39x061h09	1	28	richer	rich	ADJ
dn39x061h09	1	29	datasets	dataset	NOUN
dn39x061h09	1	30	than	than	ADP
dn39x061h09	1	31	ever	ever	ADV
dn39x061h09	1	32	before	before	ADV
dn39x061h09	1	33	.	.	PUNCT
dn39x061h09	2	1	this	this	DET
dn39x061h09	2	2	proliferation	proliferation	NOUN
dn39x061h09	2	3	in	in	ADP
dn39x061h09	2	4	dataset	dataset	NOUN
dn39x061h09	2	5	sizes	size	NOUN
dn39x061h09	2	6	is	be	AUX
dn39x061h09	2	7	accompanied	accompany	VERB
dn39x061h09	2	8	by	by	ADP
dn39x061h09	2	9	the	the	DET
dn39x061h09	2	10	quandary	quandary	NOUN
dn39x061h09	2	11	of	of	ADP
dn39x061h09	2	12	successfully	successfully	ADV
dn39x061h09	2	13	mining	mine	VERB
dn39x061h09	2	14	this	this	DET
dn39x061h09	2	15	data	datum	NOUN
dn39x061h09	2	16	to	to	PART
dn39x061h09	2	17	discover	discover	VERB
dn39x061h09	2	18	patterns	pattern	NOUN
dn39x061h09	2	19	of	of	ADP
dn39x061h09	2	20	interest	interest	NOUN
dn39x061h09	2	21	.	.	PUNCT
dn39x061h09	3	1	however	however	ADV
dn39x061h09	3	2	,	,	PUNCT
dn39x061h09	3	3	extreme	extreme	ADJ
dn39x061h09	3	4	dataset	dataset	NOUN
dn39x061h09	3	5	sizes	size	NOUN
dn39x061h09	3	6	place	place	VERB
dn39x061h09	3	7	unprecedented	unprecedented	ADJ
dn39x061h09	3	8	demands	demand	NOUN
dn39x061h09	3	9	on	on	ADP
dn39x061h09	3	10	high	high	ADJ
dn39x061h09	3	11	-	-	PUNCT
dn39x061h09	3	12	performance	performance	NOUN
dn39x061h09	3	13	computing	computing	NOUN
dn39x061h09	3	14	infrastructures	infrastructure	NOUN
dn39x061h09	3	15	,	,	PUNCT
dn39x061h09	3	16	and	and	CCONJ
dn39x061h09	3	17	a	a	DET
dn39x061h09	3	18	gap	gap	NOUN
dn39x061h09	3	19	has	have	AUX
dn39x061h09	3	20	developed	develop	VERB
dn39x061h09	3	21	between	between	ADP
dn39x061h09	3	22	the	the	DET
dn39x061h09	3	23	available	available	ADJ
dn39x061h09	3	24	real	real	ADJ
dn39x061h09	3	25	-	-	PUNCT
dn39x061h09	3	26	world	world	NOUN
dn39x061h09	3	27	datasets	dataset	NOUN
dn39x061h09	3	28	and	and	CCONJ
dn39x061h09	3	29	our	our	PRON
dn39x061h09	3	30	ability	ability	NOUN
dn39x061h09	3	31	to	to	PART
dn39x061h09	3	32	process	process	VERB
dn39x061h09	3	33	them	they	PRON
dn39x061h09	3	34	.	.	PUNCT
dn39x061h09	4	1	dataset	dataset	NOUN
dn39x061h09	4	2	sizes	size	NOUN
dn39x061h09	4	3	are	be	AUX
dn39x061h09	4	4	quickly	quickly	ADV
dn39x061h09	4	5	approaching	approach	VERB
dn39x061h09	4	6	tera	tera	NOUN
dn39x061h09	4	7	and	and	CCONJ
dn39x061h09	4	8	petabytes	petabyte	NOUN
dn39x061h09	4	9	.	.	PUNCT
dn39x061h09	5	1	this	this	DET
dn39x061h09	5	2	rate	rate	NOUN
dn39x061h09	5	3	of	of	ADP
dn39x061h09	5	4	increase	increase	NOUN
dn39x061h09	5	5	also	also	ADV
dn39x061h09	5	6	challenges	challenge	VERB
dn39x061h09	5	7	the	the	DET
dn39x061h09	5	8	subsampling	subsample	VERB
dn39x061h09	5	9	paradigm	paradigm	NOUN
dn39x061h09	5	10	,	,	PUNCT
dn39x061h09	5	11	as	as	SCONJ
dn39x061h09	5	12	even	even	ADV
dn39x061h09	5	13	a	a	DET
dn39x061h09	5	14	subsample	subsample	NOUN
dn39x061h09	5	15	of	of	ADP
dn39x061h09	5	16	data	datum	NOUN
dn39x061h09	5	17	runs	run	VERB
dn39x061h09	5	18	into	into	ADP
dn39x061h09	5	19	gigabytes	gigabyte	NOUN
dn39x061h09	5	20	.	.	PUNCT
dn39x061h09	6	1	it	it	PRON
dn39x061h09	6	2	is	be	AUX
dn39x061h09	6	3	our	our	PRON
dn39x061h09	6	4	goal	goal	NOUN
dn39x061h09	6	5	to	to	PART
dn39x061h09	6	6	exploit	exploit	VERB
dn39x061h09	6	7	recent	recent	ADJ
dn39x061h09	6	8	advances	advance	NOUN
dn39x061h09	6	9	in	in	ADP
dn39x061h09	6	10	multi	multi	ADJ
dn39x061h09	6	11	-	-	ADJ
dn39x061h09	6	12	threaded	threaded	ADJ
dn39x061h09	6	13	processor	processor	NOUN
dn39x061h09	6	14	technology	technology	NOUN
dn39x061h09	6	15	for	for	ADP
dn39x061h09	6	16	scalable	scalable	ADJ
dn39x061h09	6	17	data	datum	NOUN
dn39x061h09	6	18	mining	mining	NOUN
dn39x061h09	6	19	.	.	PUNCT
dn39x061h09	7	1	with	with	ADP
dn39x061h09	7	2	this	this	DET
dn39x061h09	7	3	work	work	NOUN
dn39x061h09	7	4	,	,	PUNCT
dn39x061h09	7	5	we	we	PRON
dn39x061h09	7	6	explore	explore	VERB
dn39x061h09	7	7	one	one	NUM
dn39x061h09	7	8	such	such	ADJ
dn39x061h09	7	9	architecture	architecture	NOUN
dn39x061h09	7	10	-the	-the	DET
dn39x061h09	7	11	cray	cray	PROPN
dn39x061h09	7	12	mta-2	mta-2	SPACE
dn39x061h09	7	13	.	.	PUNCT
dn39x061h09	8	1	we	we	PRON
dn39x061h09	8	2	conjecture	conjecture	VERB
dn39x061h09	8	3	that	that	SCONJ
dn39x061h09	8	4	the	the	DET
dn39x061h09	8	5	architectural	architectural	ADJ
dn39x061h09	8	6	design	design	NOUN
dn39x061h09	8	7	is	be	AUX
dn39x061h09	8	8	well	well	ADV
dn39x061h09	8	9	suited	suited	ADJ
dn39x061h09	8	10	for	for	ADP
dn39x061h09	8	11	the	the	DET
dn39x061h09	8	12	application	application	NOUN
dn39x061h09	8	13	of	of	ADP
dn39x061h09	8	14	machine	machine	NOUN
dn39x061h09	8	15	learning	learn	VERB
dn39x061h09	8	16	to	to	ADP
dn39x061h09	8	17	massive	massive	ADJ
dn39x061h09	8	18	datasets	dataset	NOUN
dn39x061h09	8	19	.	.	PUNCT
dn39x061h09	9	1	to	to	ADP
dn39x061h09	9	2	that	that	DET
dn39x061h09	9	3	end	end	NOUN
dn39x061h09	9	4	,	,	PUNCT
dn39x061h09	9	5	we	we	PRON
dn39x061h09	9	6	present	present	VERB
dn39x061h09	9	7	a	a	DET
dn39x061h09	9	8	thorough	thorough	ADJ
dn39x061h09	9	9	complexity	complexity	NOUN
dn39x061h09	9	10	analysis	analysis	NOUN
dn39x061h09	9	11	and	and	CCONJ
dn39x061h09	9	12	experimental	experimental	ADJ
dn39x061h09	9	13	evaluation	evaluation	NOUN
dn39x061h09	9	14	of	of	ADP
dn39x061h09	9	15	five	five	NUM
dn39x061h09	9	16	different	different	ADJ
dn39x061h09	9	17	popular	popular	ADJ
dn39x061h09	9	18	learning	learning	NOUN
dn39x061h09	9	19	algorithms	algorithm	NOUN
dn39x061h09	9	20	.	.	PUNCT
dn39x061h09	10	1	we	we	PRON
dn39x061h09	10	2	use	use	VERB
dn39x061h09	10	3	a	a	DET
dn39x061h09	10	4	diverse	diverse	ADJ
dn39x061h09	10	5	body	body	NOUN
dn39x061h09	10	6	of	of	ADP
dn39x061h09	10	7	datasets	dataset	NOUN
dn39x061h09	10	8	with	with	ADP
dn39x061h09	10	9	sizes	size	NOUN
dn39x061h09	10	10	varying	vary	VERB
dn39x061h09	10	11	in	in	ADP
dn39x061h09	10	12	both	both	PRON
dn39x061h09	10	13	the	the	DET
dn39x061h09	10	14	dimensions	dimension	NOUN
dn39x061h09	10	15	(	(	PUNCT
dn39x061h09	10	16	instances	instance	NOUN
dn39x061h09	10	17	and	and	CCONJ
dn39x061h09	10	18	attributes	attribute	NOUN
dn39x061h09	10	19	)	)	PUNCT
dn39x061h09	10	20	.	.	PUNCT
dn39x061h09	11	1	our	our	PRON
dn39x061h09	11	2	results	result	NOUN
dn39x061h09	11	3	lead	lead	VERB
dn39x061h09	11	4	to	to	ADP
dn39x061h09	11	5	an	an	DET
dn39x061h09	11	6	analysis	analysis	NOUN
dn39x061h09	11	7	of	of	ADP
dn39x061h09	11	8	whether	whether	SCONJ
dn39x061h09	11	9	the	the	DET
dn39x061h09	11	10	architectural	architectural	ADJ
dn39x061h09	11	11	design	design	NOUN
dn39x061h09	11	12	of	of	ADP
dn39x061h09	11	13	the	the	DET
dn39x061h09	11	14	cray	cray	NOUN
dn39x061h09	11	15	mta-2	mta-2	VERB
dn39x061h09	11	16	is	be	AUX
dn39x061h09	11	17	an	an	DET
dn39x061h09	11	18	appropriate	appropriate	ADJ
dn39x061h09	11	19	platform	platform	NOUN
dn39x061h09	11	20	for	for	ADP
dn39x061h09	11	21	massively	massively	ADV
dn39x061h09	11	22	parallel	parallel	ADJ
dn39x061h09	11	23	,	,	PUNCT
dn39x061h09	11	24	highly	highly	ADV
dn39x061h09	11	25	scalable	scalable	ADJ
dn39x061h09	11	26	learning	learn	VERB
dn39x061h09	11	27	algorithm	algorithm	PROPN
dn39x061h09	11	28	implementations	implementation	NOUN
dn39x061h09	11	29	.	.	PUNCT