id	sid	tid	token	lemma	pos
5m60qr49s9w	1	1	the	the	DET
5m60qr49s9w	1	2	last	last	ADJ
5m60qr49s9w	1	3	couple	couple	NOUN
5m60qr49s9w	1	4	of	of	ADP
5m60qr49s9w	1	5	decades	decade	NOUN
5m60qr49s9w	1	6	have	have	AUX
5m60qr49s9w	1	7	witnessed	witness	VERB
5m60qr49s9w	1	8	an	an	DET
5m60qr49s9w	1	9	explosive	explosive	ADJ
5m60qr49s9w	1	10	development	development	NOUN
5m60qr49s9w	1	11	in	in	ADP
5m60qr49s9w	1	12	models	model	NOUN
5m60qr49s9w	1	13	,	,	PUNCT
5m60qr49s9w	1	14	theory	theory	NOUN
5m60qr49s9w	1	15	and	and	CCONJ
5m60qr49s9w	1	16	algorithms	algorithm	NOUN
5m60qr49s9w	1	17	for	for	ADP
5m60qr49s9w	1	18	inferences	inference	NOUN
5m60qr49s9w	1	19	of	of	ADP
5m60qr49s9w	1	20	network	network	NOUN
5m60qr49s9w	1	21	data	datum	NOUN
5m60qr49s9w	1	22	.	.	PUNCT
5m60qr49s9w	2	1	among	among	ADP
5m60qr49s9w	2	2	the	the	DET
5m60qr49s9w	2	3	many	many	ADJ
5m60qr49s9w	2	4	tasks	task	NOUN
5m60qr49s9w	2	5	in	in	ADP
5m60qr49s9w	2	6	statistical	statistical	ADJ
5m60qr49s9w	2	7	network	network	NOUN
5m60qr49s9w	2	8	analysis	analysis	NOUN
5m60qr49s9w	2	9	,	,	PUNCT
5m60qr49s9w	2	10	community	community	NOUN
5m60qr49s9w	2	11	detection	detection	NOUN
5m60qr49s9w	2	12	has	have	AUX
5m60qr49s9w	2	13	arguably	arguably	ADV
5m60qr49s9w	2	14	received	receive	VERB
5m60qr49s9w	2	15	the	the	DET
5m60qr49s9w	2	16	most	most	ADJ
5m60qr49s9w	2	17	attention	attention	NOUN
5m60qr49s9w	2	18	in	in	ADP
5m60qr49s9w	2	19	the	the	DET
5m60qr49s9w	2	20	literature	literature	NOUN
5m60qr49s9w	2	21	.	.	PUNCT
5m60qr49s9w	3	1	however	however	ADV
5m60qr49s9w	3	2	,	,	PUNCT
5m60qr49s9w	3	3	there	there	PRON
5m60qr49s9w	3	4	are	be	VERB
5m60qr49s9w	3	5	still	still	ADV
5m60qr49s9w	3	6	some	some	DET
5m60qr49s9w	3	7	gaps	gap	NOUN
5m60qr49s9w	3	8	in	in	ADP
5m60qr49s9w	3	9	the	the	DET
5m60qr49s9w	3	10	existing	exist	VERB
5m60qr49s9w	3	11	research	research	NOUN
5m60qr49s9w	3	12	.	.	PUNCT
5m60qr49s9w	4	1	for	for	ADP
5m60qr49s9w	4	2	example	example	NOUN
5m60qr49s9w	4	3	,	,	PUNCT
5m60qr49s9w	4	4	most	most	ADJ
5m60qr49s9w	4	5	of	of	ADP
5m60qr49s9w	4	6	the	the	DET
5m60qr49s9w	4	7	literature	literature	NOUN
5m60qr49s9w	4	8	focuses	focus	VERB
5m60qr49s9w	4	9	on	on	ADP
5m60qr49s9w	4	10	the	the	DET
5m60qr49s9w	4	11	frequentist	frequentist	ADJ
5m60qr49s9w	4	12	inference	inference	NOUN
5m60qr49s9w	4	13	which	which	PRON
5m60qr49s9w	4	14	does	do	AUX
5m60qr49s9w	4	15	not	not	PART
5m60qr49s9w	4	16	provide	provide	VERB
5m60qr49s9w	4	17	an	an	DET
5m60qr49s9w	4	18	easy	easy	ADJ
5m60qr49s9w	4	19	path	path	NOUN
5m60qr49s9w	4	20	for	for	ADP
5m60qr49s9w	4	21	uncertainty	uncertainty	NOUN
5m60qr49s9w	4	22	quantification	quantification	NOUN
5m60qr49s9w	4	23	.	.	PUNCT
5m60qr49s9w	5	1	in	in	ADP
5m60qr49s9w	5	2	addition	addition	NOUN
5m60qr49s9w	5	3	,	,	PUNCT
5m60qr49s9w	5	4	a	a	DET
5m60qr49s9w	5	5	majority	majority	NOUN
5m60qr49s9w	5	6	of	of	ADP
5m60qr49s9w	5	7	existing	exist	VERB
5m60qr49s9w	5	8	work	work	NOUN
5m60qr49s9w	5	9	assumes	assume	VERB
5m60qr49s9w	5	10	that	that	SCONJ
5m60qr49s9w	5	11	the	the	DET
5m60qr49s9w	5	12	number	number	NOUN
5m60qr49s9w	5	13	of	of	ADP
5m60qr49s9w	5	14	communities	community	NOUN
5m60qr49s9w	5	15	in	in	ADP
5m60qr49s9w	5	16	a	a	DET
5m60qr49s9w	5	17	network	network	NOUN
5m60qr49s9w	5	18	is	be	AUX
5m60qr49s9w	5	19	known	know	VERB
5m60qr49s9w	5	20	which	which	PRON
5m60qr49s9w	5	21	can	can	AUX
5m60qr49s9w	5	22	be	be	AUX
5m60qr49s9w	5	23	restrictive	restrictive	ADJ
5m60qr49s9w	5	24	.	.	PUNCT
5m60qr49s9w	6	1	to	to	PART
5m60qr49s9w	6	2	address	address	VERB
5m60qr49s9w	6	3	these	these	DET
5m60qr49s9w	6	4	problems	problem	NOUN
5m60qr49s9w	6	5	,	,	PUNCT
5m60qr49s9w	6	6	we	we	PRON
5m60qr49s9w	6	7	propose	propose	VERB
5m60qr49s9w	6	8	some	some	DET
5m60qr49s9w	6	9	bayesian	bayesian	ADJ
5m60qr49s9w	6	10	models	model	NOUN
5m60qr49s9w	6	11	for	for	ADP
5m60qr49s9w	6	12	community	community	NOUN
5m60qr49s9w	6	13	detection	detection	NOUN
5m60qr49s9w	6	14	in	in	ADP
5m60qr49s9w	6	15	networks	network	NOUN
5m60qr49s9w	6	16	by	by	ADP
5m60qr49s9w	6	17	employing	employ	VERB
5m60qr49s9w	6	18	novel	novel	ADJ
5m60qr49s9w	6	19	random	random	ADJ
5m60qr49s9w	6	20	partition	partition	NOUN
5m60qr49s9w	6	21	priors	priors	ADV
5m60qr49s9w	6	22	.	.	PUNCT
5m60qr49s9w	7	1	such	such	ADJ
5m60qr49s9w	7	2	models	model	NOUN
5m60qr49s9w	7	3	allow	allow	VERB
5m60qr49s9w	7	4	uncertainty	uncertainty	NOUN
5m60qr49s9w	7	5	quantification	quantification	NOUN
5m60qr49s9w	7	6	as	as	ADV
5m60qr49s9w	7	7	well	well	ADV
5m60qr49s9w	7	8	as	as	ADP
5m60qr49s9w	7	9	learning	learn	VERB
5m60qr49s9w	7	10	the	the	DET
5m60qr49s9w	7	11	community	community	NOUN
5m60qr49s9w	7	12	structure	structure	NOUN
5m60qr49s9w	7	13	via	via	ADP
5m60qr49s9w	7	14	posterior	posterior	ADJ
5m60qr49s9w	7	15	inference	inference	NOUN
5m60qr49s9w	7	16	without	without	ADP
5m60qr49s9w	7	17	having	have	VERB
5m60qr49s9w	7	18	to	to	PART
5m60qr49s9w	7	19	specify	specify	VERB
5m60qr49s9w	7	20	a	a	DET
5m60qr49s9w	7	21	known	know	VERB
5m60qr49s9w	7	22	number	number	NOUN
5m60qr49s9w	7	23	of	of	ADP
5m60qr49s9w	7	24	communities	community	NOUN
5m60qr49s9w	7	25	a	a	DET
5m60qr49s9w	7	26	priori	priori	X
5m60qr49s9w	7	27	.	.	PUNCT
5m60qr49s9w	8	1	in	in	ADP
5m60qr49s9w	8	2	chapter	chapter	NOUN
5m60qr49s9w	8	3	two	two	NUM
5m60qr49s9w	8	4	of	of	ADP
5m60qr49s9w	8	5	the	the	DET
5m60qr49s9w	8	6	thesis	thesis	NOUN
5m60qr49s9w	8	7	,	,	PUNCT
5m60qr49s9w	8	8	we	we	PRON
5m60qr49s9w	8	9	first	first	ADV
5m60qr49s9w	8	10	propose	propose	VERB
5m60qr49s9w	8	11	a	a	DET
5m60qr49s9w	8	12	bayesian	bayesian	ADJ
5m60qr49s9w	8	13	model	model	NOUN
5m60qr49s9w	8	14	for	for	ADP
5m60qr49s9w	8	15	weighted	weighted	ADJ
5m60qr49s9w	8	16	networks	network	NOUN
5m60qr49s9w	8	17	by	by	ADP
5m60qr49s9w	8	18	employing	employ	VERB
5m60qr49s9w	8	19	the	the	DET
5m60qr49s9w	8	20	chinese	chinese	ADJ
5m60qr49s9w	8	21	restaurant	restaurant	NOUN
5m60qr49s9w	8	22	process	process	NOUN
5m60qr49s9w	8	23	(	(	PUNCT
5m60qr49s9w	8	24	crp	crp	NOUN
5m60qr49s9w	8	25	)	)	PUNCT
5m60qr49s9w	8	26	as	as	ADP
5m60qr49s9w	8	27	a	a	DET
5m60qr49s9w	8	28	random	random	ADJ
5m60qr49s9w	8	29	partition	partition	NOUN
5m60qr49s9w	8	30	prior	prior	ADV
5m60qr49s9w	8	31	for	for	ADP
5m60qr49s9w	8	32	the	the	DET
5m60qr49s9w	8	33	community	community	NOUN
5m60qr49s9w	8	34	structure	structure	NOUN
5m60qr49s9w	8	35	,	,	PUNCT
5m60qr49s9w	8	36	under	under	ADP
5m60qr49s9w	8	37	which	which	PRON
5m60qr49s9w	8	38	a	a	DET
5m60qr49s9w	8	39	weighted	weighted	ADJ
5m60qr49s9w	8	40	stochastic	stochastic	ADJ
5m60qr49s9w	8	41	block	block	NOUN
5m60qr49s9w	8	42	model	model	NOUN
5m60qr49s9w	8	43	is	be	AUX
5m60qr49s9w	8	44	assumed	assume	VERB
5m60qr49s9w	8	45	.	.	PUNCT
5m60qr49s9w	9	1	in	in	ADP
5m60qr49s9w	9	2	chapter	chapter	NOUN
5m60qr49s9w	9	3	three	three	NUM
5m60qr49s9w	9	4	of	of	ADP
5m60qr49s9w	9	5	the	the	DET
5m60qr49s9w	9	6	thesis	thesis	NOUN
5m60qr49s9w	9	7	,	,	PUNCT
5m60qr49s9w	9	8	we	we	PRON
5m60qr49s9w	9	9	then	then	ADV
5m60qr49s9w	9	10	propose	propose	VERB
5m60qr49s9w	9	11	a	a	DET
5m60qr49s9w	9	12	bayesian	bayesian	ADJ
5m60qr49s9w	9	13	model	model	NOUN
5m60qr49s9w	9	14	for	for	ADP
5m60qr49s9w	9	15	community	community	NOUN
5m60qr49s9w	9	16	detection	detection	NOUN
5m60qr49s9w	9	17	in	in	ADP
5m60qr49s9w	9	18	a	a	DET
5m60qr49s9w	9	19	sparse	sparse	ADJ
5m60qr49s9w	9	20	weighted	weighted	ADJ
5m60qr49s9w	9	21	network	network	NOUN
5m60qr49s9w	9	22	by	by	ADP
5m60qr49s9w	9	23	combining	combine	VERB
5m60qr49s9w	9	24	a	a	DET
5m60qr49s9w	9	25	random	random	ADJ
5m60qr49s9w	9	26	partition	partition	NOUN
5m60qr49s9w	9	27	prior	prior	ADV
5m60qr49s9w	9	28	with	with	ADP
5m60qr49s9w	9	29	a	a	DET
5m60qr49s9w	9	30	spike	spike	ADJ
5m60qr49s9w	9	31	and	and	CCONJ
5m60qr49s9w	9	32	slab	slab	NOUN
5m60qr49s9w	9	33	type	type	NOUN
5m60qr49s9w	9	34	model	model	NOUN
5m60qr49s9w	9	35	.	.	PUNCT
5m60qr49s9w	10	1	more	more	ADV
5m60qr49s9w	10	2	specifically	specifically	ADV
5m60qr49s9w	10	3	,	,	PUNCT
5m60qr49s9w	10	4	the	the	DET
5m60qr49s9w	10	5	sparsity	sparsity	NOUN
5m60qr49s9w	10	6	of	of	ADP
5m60qr49s9w	10	7	a	a	DET
5m60qr49s9w	10	8	weighted	weighted	ADJ
5m60qr49s9w	10	9	network	network	NOUN
5m60qr49s9w	10	10	(	(	PUNCT
5m60qr49s9w	10	11	expressed	express	VERB
5m60qr49s9w	10	12	through	through	ADP
5m60qr49s9w	10	13	the	the	DET
5m60qr49s9w	10	14	probability	probability	NOUN
5m60qr49s9w	10	15	of	of	ADP
5m60qr49s9w	10	16	forming	form	VERB
5m60qr49s9w	10	17	a	a	DET
5m60qr49s9w	10	18	zero	zero	NUM
5m60qr49s9w	10	19	edge	edge	NOUN
5m60qr49s9w	10	20	between	between	ADP
5m60qr49s9w	10	21	two	two	NUM
5m60qr49s9w	10	22	nodes	node	NOUN
5m60qr49s9w	10	23	)	)	PUNCT
5m60qr49s9w	10	24	is	be	AUX
5m60qr49s9w	10	25	explicitly	explicitly	ADV
5m60qr49s9w	10	26	modeled	model	VERB
5m60qr49s9w	10	27	as	as	ADP
5m60qr49s9w	10	28	the	the	DET
5m60qr49s9w	10	29	spike	spike	ADJ
5m60qr49s9w	10	30	part	part	NOUN
5m60qr49s9w	10	31	of	of	ADP
5m60qr49s9w	10	32	the	the	DET
5m60qr49s9w	10	33	spike	spike	ADJ
5m60qr49s9w	10	34	and	and	CCONJ
5m60qr49s9w	10	35	slab	slab	NOUN
5m60qr49s9w	10	36	distribution	distribution	NOUN
5m60qr49s9w	10	37	.	.	PUNCT
5m60qr49s9w	11	1	the	the	DET
5m60qr49s9w	11	2	weighted	weighted	ADJ
5m60qr49s9w	11	3	network	network	NOUN
5m60qr49s9w	11	4	is	be	AUX
5m60qr49s9w	11	5	assumed	assume	VERB
5m60qr49s9w	11	6	to	to	PART
5m60qr49s9w	11	7	follow	follow	VERB
5m60qr49s9w	11	8	a	a	DET
5m60qr49s9w	11	9	mixture	mixture	NOUN
5m60qr49s9w	11	10	of	of	ADP
5m60qr49s9w	11	11	the	the	DET
5m60qr49s9w	11	12	stochastic	stochastic	ADJ
5m60qr49s9w	11	13	block	block	NOUN
5m60qr49s9w	11	14	model	model	NOUN
5m60qr49s9w	11	15	in	in	ADP
5m60qr49s9w	11	16	which	which	PRON
5m60qr49s9w	11	17	both	both	CCONJ
5m60qr49s9w	11	18	the	the	DET
5m60qr49s9w	11	19	sparsity	sparsity	NOUN
5m60qr49s9w	11	20	and	and	CCONJ
5m60qr49s9w	11	21	edge	edge	NOUN
5m60qr49s9w	11	22	weights	weight	NOUN
5m60qr49s9w	11	23	play	play	VERB
5m60qr49s9w	11	24	a	a	DET
5m60qr49s9w	11	25	role	role	NOUN
5m60qr49s9w	11	26	in	in	ADP
5m60qr49s9w	11	27	informing	inform	VERB
5m60qr49s9w	11	28	the	the	DET
5m60qr49s9w	11	29	community	community	NOUN
5m60qr49s9w	11	30	structure	structure	NOUN
5m60qr49s9w	11	31	of	of	ADP
5m60qr49s9w	11	32	a	a	DET
5m60qr49s9w	11	33	network	network	NOUN
5m60qr49s9w	11	34	.	.	PUNCT
5m60qr49s9w	12	1	efficient	efficient	ADJ
5m60qr49s9w	12	2	mcmc	mcmc	NOUN
5m60qr49s9w	12	3	algorithms	algorithm	NOUN
5m60qr49s9w	12	4	are	be	AUX
5m60qr49s9w	12	5	developed	develop	VERB
5m60qr49s9w	12	6	,	,	PUNCT
5m60qr49s9w	12	7	and	and	CCONJ
5m60qr49s9w	12	8	the	the	DET
5m60qr49s9w	12	9	model	model	NOUN
5m60qr49s9w	12	10	and	and	CCONJ
5m60qr49s9w	12	11	algorithms	algorithm	NOUN
5m60qr49s9w	12	12	are	be	AUX
5m60qr49s9w	12	13	applied	apply	VERB
5m60qr49s9w	12	14	to	to	ADP
5m60qr49s9w	12	15	extensive	extensive	ADJ
5m60qr49s9w	12	16	simulation	simulation	NOUN
5m60qr49s9w	12	17	studies	study	NOUN
5m60qr49s9w	12	18	and	and	CCONJ
5m60qr49s9w	12	19	real	real	ADJ
5m60qr49s9w	12	20	data	datum	NOUN
5m60qr49s9w	12	21	analysis	analysis	NOUN
5m60qr49s9w	12	22	.	.	PUNCT
5m60qr49s9w	13	1	the	the	DET
5m60qr49s9w	13	2	last	last	ADJ
5m60qr49s9w	13	3	chapter	chapter	NOUN
5m60qr49s9w	13	4	(	(	PUNCT
5m60qr49s9w	13	5	chapter	chapter	NOUN
5m60qr49s9w	13	6	four	four	NUM
5m60qr49s9w	13	7	)	)	PUNCT
5m60qr49s9w	13	8	of	of	ADP
5m60qr49s9w	13	9	the	the	DET
5m60qr49s9w	13	10	thesis	thesis	NOUN
5m60qr49s9w	13	11	is	be	AUX
5m60qr49s9w	13	12	devoted	devote	VERB
5m60qr49s9w	13	13	to	to	ADP
5m60qr49s9w	13	14	developing	develop	VERB
5m60qr49s9w	13	15	efficient	efficient	ADJ
5m60qr49s9w	13	16	algorithms	algorithm	NOUN
5m60qr49s9w	13	17	for	for	ADP
5m60qr49s9w	13	18	change	change	NOUN
5m60qr49s9w	13	19	point	point	NOUN
5m60qr49s9w	13	20	detection	detection	NOUN
5m60qr49s9w	13	21	in	in	ADP
5m60qr49s9w	13	22	sparse	sparse	ADJ
5m60qr49s9w	13	23	dynamic	dynamic	ADJ
5m60qr49s9w	13	24	networks	network	NOUN
5m60qr49s9w	13	25	.	.	PUNCT
5m60qr49s9w	14	1	more	more	ADV
5m60qr49s9w	14	2	specifically	specifically	ADV
5m60qr49s9w	14	3	,	,	PUNCT
5m60qr49s9w	14	4	graphon	graphon	PROPN
5m60qr49s9w	14	5	estimators	estimator	NOUN
5m60qr49s9w	14	6	are	be	AUX
5m60qr49s9w	14	7	first	first	ADV
5m60qr49s9w	14	8	obtained	obtain	VERB
5m60qr49s9w	14	9	,	,	PUNCT
5m60qr49s9w	14	10	based	base	VERB
5m60qr49s9w	14	11	on	on	ADP
5m60qr49s9w	14	12	which	which	PRON
5m60qr49s9w	14	13	a	a	DET
5m60qr49s9w	14	14	screening	screening	NOUN
5m60qr49s9w	14	15	and	and	CCONJ
5m60qr49s9w	14	16	detection	detection	NOUN
5m60qr49s9w	14	17	algorithm	algorithm	PROPN
5m60qr49s9w	14	18	for	for	ADP
5m60qr49s9w	14	19	detecting	detect	VERB
5m60qr49s9w	14	20	change	change	NOUN
5m60qr49s9w	14	21	points	point	NOUN
5m60qr49s9w	14	22	is	be	AUX
5m60qr49s9w	14	23	proposed	propose	VERB
5m60qr49s9w	14	24	.	.	PUNCT
5m60qr49s9w	15	1	our	our	PRON
5m60qr49s9w	15	2	model	model	NOUN
5m60qr49s9w	15	3	is	be	AUX
5m60qr49s9w	15	4	purely	purely	ADV
5m60qr49s9w	15	5	nonparametric	nonparametric	NOUN
5m60qr49s9w	15	6	which	which	PRON
5m60qr49s9w	15	7	does	do	AUX
5m60qr49s9w	15	8	not	not	PART
5m60qr49s9w	15	9	rely	rely	VERB
5m60qr49s9w	15	10	on	on	ADP
5m60qr49s9w	15	11	specific	specific	ADJ
5m60qr49s9w	15	12	model	model	NOUN
5m60qr49s9w	15	13	assumptions	assumption	NOUN
5m60qr49s9w	15	14	and	and	CCONJ
5m60qr49s9w	15	15	can	can	AUX
5m60qr49s9w	15	16	effectively	effectively	ADV
5m60qr49s9w	15	17	utilize	utilize	VERB
5m60qr49s9w	15	18	the	the	DET
5m60qr49s9w	15	19	network	network	NOUN
5m60qr49s9w	15	20	structure	structure	NOUN
5m60qr49s9w	15	21	for	for	ADP
5m60qr49s9w	15	22	detecting	detect	VERB
5m60qr49s9w	15	23	change	change	NOUN
5m60qr49s9w	15	24	points	point	NOUN
5m60qr49s9w	15	25	.	.	PUNCT
5m60qr49s9w	16	1	we	we	PRON
5m60qr49s9w	16	2	provide	provide	VERB
5m60qr49s9w	16	3	theoretical	theoretical	ADJ
5m60qr49s9w	16	4	guarantees	guarantee	NOUN
5m60qr49s9w	16	5	of	of	ADP
5m60qr49s9w	16	6	such	such	ADJ
5m60qr49s9w	16	7	algorithms	algorithm	NOUN
5m60qr49s9w	16	8	by	by	ADP
5m60qr49s9w	16	9	proving	prove	VERB
5m60qr49s9w	16	10	consistency	consistency	NOUN
5m60qr49s9w	16	11	of	of	ADP
5m60qr49s9w	16	12	the	the	DET
5m60qr49s9w	16	13	detection	detection	NOUN
5m60qr49s9w	16	14	algorithm	algorithm	NOUN
5m60qr49s9w	16	15	.	.	PUNCT
5m60qr49s9w	17	1	the	the	DET
5m60qr49s9w	17	2	thesis	thesis	NOUN
5m60qr49s9w	17	3	ends	end	VERB
5m60qr49s9w	17	4	with	with	ADP
5m60qr49s9w	17	5	a	a	DET
5m60qr49s9w	17	6	summary	summary	NOUN
5m60qr49s9w	17	7	.	.	PUNCT