id	sid	tid	token	lemma	pos
0v838052d15	1	1	the	the	DET
0v838052d15	1	2	increasing	increase	VERB
0v838052d15	1	3	prevalence	prevalence	NOUN
0v838052d15	1	4	of	of	ADP
0v838052d15	1	5	network	network	NOUN
0v838052d15	1	6	data	datum	NOUN
0v838052d15	1	7	in	in	ADP
0v838052d15	1	8	a	a	DET
0v838052d15	1	9	vast	vast	ADJ
0v838052d15	1	10	variety	variety	NOUN
0v838052d15	1	11	of	of	ADP
0v838052d15	1	12	fields	field	NOUN
0v838052d15	1	13	and	and	CCONJ
0v838052d15	1	14	the	the	DET
0v838052d15	1	15	need	need	NOUN
0v838052d15	1	16	to	to	PART
0v838052d15	1	17	extract	extract	VERB
0v838052d15	1	18	useful	useful	ADJ
0v838052d15	1	19	information	information	NOUN
0v838052d15	1	20	out	out	ADP
0v838052d15	1	21	of	of	ADP
0v838052d15	1	22	them	they	PRON
0v838052d15	1	23	have	have	AUX
0v838052d15	1	24	spurred	spur	VERB
0v838052d15	1	25	fast	fast	ADJ
0v838052d15	1	26	developments	development	NOUN
0v838052d15	1	27	in	in	ADP
0v838052d15	1	28	models	model	NOUN
0v838052d15	1	29	and	and	CCONJ
0v838052d15	1	30	algorithms	algorithm	NOUN
0v838052d15	1	31	for	for	ADP
0v838052d15	1	32	the	the	DET
0v838052d15	1	33	inference	inference	NOUN
0v838052d15	1	34	of	of	ADP
0v838052d15	1	35	networks	network	NOUN
0v838052d15	1	36	.	.	PUNCT
0v838052d15	2	1	among	among	ADP
0v838052d15	2	2	various	various	ADJ
0v838052d15	2	3	learning	learning	NOUN
0v838052d15	2	4	tasks	task	NOUN
0v838052d15	2	5	with	with	ADP
0v838052d15	2	6	network	network	NOUN
0v838052d15	2	7	data	datum	NOUN
0v838052d15	2	8	,	,	PUNCT
0v838052d15	2	9	community	community	NOUN
0v838052d15	2	10	detection	detection	NOUN
0v838052d15	2	11	,	,	PUNCT
0v838052d15	2	12	which	which	PRON
0v838052d15	2	13	divides	divide	VERB
0v838052d15	2	14	nodes	node	NOUN
0v838052d15	2	15	into	into	ADP
0v838052d15	2	16	clusters	cluster	NOUN
0v838052d15	2	17	or	or	CCONJ
0v838052d15	2	18	`	`	PUNCT
0v838052d15	2	19	communities	community	NOUN
0v838052d15	2	20	'	'	PUNCT
0v838052d15	2	21	,	,	PUNCT
0v838052d15	2	22	and	and	CCONJ
0v838052d15	2	23	change	change	NOUN
0v838052d15	2	24	-	-	PUNCT
0v838052d15	2	25	point	point	NOUN
0v838052d15	2	26	detection	detection	NOUN
0v838052d15	2	27	,	,	PUNCT
0v838052d15	2	28	which	which	PRON
0v838052d15	2	29	detects	detect	VERB
0v838052d15	2	30	possible	possible	ADJ
0v838052d15	2	31	change	change	NOUN
0v838052d15	2	32	points	point	NOUN
0v838052d15	2	33	among	among	ADP
0v838052d15	2	34	multiple	multiple	ADJ
0v838052d15	2	35	networks	network	NOUN
0v838052d15	2	36	,	,	PUNCT
0v838052d15	2	37	have	have	AUX
0v838052d15	2	38	arguably	arguably	ADV
0v838052d15	2	39	received	receive	VERB
0v838052d15	2	40	the	the	DET
0v838052d15	2	41	most	most	ADJ
0v838052d15	2	42	attention	attention	NOUN
0v838052d15	2	43	in	in	ADP
0v838052d15	2	44	the	the	DET
0v838052d15	2	45	scientific	scientific	ADJ
0v838052d15	2	46	community.in	community.in	ADP
0v838052d15	2	47	many	many	ADJ
0v838052d15	2	48	real	real	ADJ
0v838052d15	2	49	-	-	PUNCT
0v838052d15	2	50	world	world	NOUN
0v838052d15	2	51	networks	network	NOUN
0v838052d15	2	52	,	,	PUNCT
0v838052d15	2	53	the	the	DET
0v838052d15	2	54	network	network	NOUN
0v838052d15	2	55	data	datum	NOUN
0v838052d15	2	56	often	often	ADV
0v838052d15	2	57	comes	come	VERB
0v838052d15	2	58	with	with	ADP
0v838052d15	2	59	additional	additional	ADJ
0v838052d15	2	60	covariates	covariate	NOUN
0v838052d15	2	61	information	information	NOUN
0v838052d15	2	62	,	,	PUNCT
0v838052d15	2	63	which	which	PRON
0v838052d15	2	64	should	should	AUX
0v838052d15	2	65	ideally	ideally	ADV
0v838052d15	2	66	be	be	AUX
0v838052d15	2	67	leveraged	leverage	VERB
0v838052d15	2	68	for	for	ADP
0v838052d15	2	69	inference	inference	NOUN
0v838052d15	2	70	such	such	ADJ
0v838052d15	2	71	as	as	ADP
0v838052d15	2	72	for	for	ADP
0v838052d15	2	73	performing	perform	VERB
0v838052d15	2	74	community	community	NOUN
0v838052d15	2	75	detection	detection	NOUN
0v838052d15	2	76	.	.	PUNCT
0v838052d15	3	1	we	we	PRON
0v838052d15	3	2	add	add	VERB
0v838052d15	3	3	to	to	ADP
0v838052d15	3	4	a	a	DET
0v838052d15	3	5	limited	limited	ADJ
0v838052d15	3	6	literature	literature	NOUN
0v838052d15	3	7	on	on	ADP
0v838052d15	3	8	community	community	NOUN
0v838052d15	3	9	detection	detection	NOUN
0v838052d15	3	10	for	for	ADP
0v838052d15	3	11	networks	network	NOUN
0v838052d15	3	12	with	with	ADP
0v838052d15	3	13	covariates	covariate	NOUN
0v838052d15	3	14	by	by	ADP
0v838052d15	3	15	proposing	propose	VERB
0v838052d15	3	16	a	a	DET
0v838052d15	3	17	bayesian	bayesian	ADJ
0v838052d15	3	18	model	model	NOUN
0v838052d15	3	19	in	in	ADP
0v838052d15	3	20	which	which	PRON
0v838052d15	3	21	the	the	DET
0v838052d15	3	22	effects	effect	NOUN
0v838052d15	3	23	of	of	ADP
0v838052d15	3	24	the	the	DET
0v838052d15	3	25	covariates	covariate	NOUN
0v838052d15	3	26	are	be	AUX
0v838052d15	3	27	incorporated	incorporate	VERB
0v838052d15	3	28	via	via	ADP
0v838052d15	3	29	a	a	DET
0v838052d15	3	30	covariates	covariate	NOUN
0v838052d15	3	31	-	-	PUNCT
0v838052d15	3	32	dependent	dependent	ADJ
0v838052d15	3	33	random	random	ADJ
0v838052d15	3	34	partition	partition	NOUN
0v838052d15	3	35	prior	prior	ADV
0v838052d15	3	36	,	,	PUNCT
0v838052d15	3	37	under	under	ADP
0v838052d15	3	38	which	which	PRON
0v838052d15	3	39	a	a	DET
0v838052d15	3	40	block	block	NOUN
0v838052d15	3	41	model	model	NOUN
0v838052d15	3	42	is	be	AUX
0v838052d15	3	43	assumed	assume	VERB
0v838052d15	3	44	.	.	PUNCT
0v838052d15	4	1	under	under	ADP
0v838052d15	4	2	our	our	PRON
0v838052d15	4	3	prior	prior	ADJ
0v838052d15	4	4	,	,	PUNCT
0v838052d15	4	5	the	the	DET
0v838052d15	4	6	covariates	covariate	NOUN
0v838052d15	4	7	information	information	NOUN
0v838052d15	4	8	is	be	AUX
0v838052d15	4	9	explicitly	explicitly	ADV
0v838052d15	4	10	expressed	express	VERB
0v838052d15	4	11	in	in	ADP
0v838052d15	4	12	specifying	specify	VERB
0v838052d15	4	13	the	the	DET
0v838052d15	4	14	prior	prior	ADJ
0v838052d15	4	15	distribution	distribution	NOUN
0v838052d15	4	16	on	on	ADP
0v838052d15	4	17	the	the	DET
0v838052d15	4	18	cluster	cluster	NOUN
0v838052d15	4	19	membership	membership	NOUN
0v838052d15	4	20	.	.	PUNCT
0v838052d15	5	1	our	our	PRON
0v838052d15	5	2	model	model	NOUN
0v838052d15	5	3	has	have	VERB
0v838052d15	5	4	the	the	DET
0v838052d15	5	5	flexibility	flexibility	NOUN
0v838052d15	5	6	of	of	ADP
0v838052d15	5	7	modeling	model	VERB
0v838052d15	5	8	uncertainties	uncertainty	NOUN
0v838052d15	5	9	of	of	ADP
0v838052d15	5	10	all	all	DET
0v838052d15	5	11	parameter	parameter	NOUN
0v838052d15	5	12	estimates	estimate	NOUN
0v838052d15	5	13	,	,	PUNCT
0v838052d15	5	14	including	include	VERB
0v838052d15	5	15	the	the	DET
0v838052d15	5	16	community	community	NOUN
0v838052d15	5	17	membership	membership	NOUN
0v838052d15	5	18	.	.	PUNCT
0v838052d15	6	1	another	another	DET
0v838052d15	6	2	key	key	ADJ
0v838052d15	6	3	feature	feature	NOUN
0v838052d15	6	4	of	of	ADP
0v838052d15	6	5	our	our	PRON
0v838052d15	6	6	models	model	NOUN
0v838052d15	6	7	compared	compare	VERB
0v838052d15	6	8	with	with	ADP
0v838052d15	6	9	the	the	DET
0v838052d15	6	10	existing	exist	VERB
0v838052d15	6	11	work	work	NOUN
0v838052d15	6	12	is	be	AUX
0v838052d15	6	13	that	that	SCONJ
0v838052d15	6	14	it	it	PRON
0v838052d15	6	15	has	have	VERB
0v838052d15	6	16	the	the	DET
0v838052d15	6	17	ability	ability	NOUN
0v838052d15	6	18	to	to	PART
0v838052d15	6	19	learn	learn	VERB
0v838052d15	6	20	the	the	DET
0v838052d15	6	21	number	number	NOUN
0v838052d15	6	22	of	of	ADP
0v838052d15	6	23	the	the	DET
0v838052d15	6	24	community	community	NOUN
0v838052d15	6	25	via	via	ADP
0v838052d15	6	26	posterior	posterior	ADJ
0v838052d15	6	27	inference	inference	NOUN
0v838052d15	6	28	without	without	ADP
0v838052d15	6	29	having	have	VERB
0v838052d15	6	30	to	to	PART
0v838052d15	6	31	assume	assume	VERB
0v838052d15	6	32	it	it	PRON
0v838052d15	6	33	to	to	PART
0v838052d15	6	34	be	be	AUX
0v838052d15	6	35	known	know	VERB
0v838052d15	6	36	.	.	PUNCT
0v838052d15	7	1	our	our	PRON
0v838052d15	7	2	model	model	NOUN
0v838052d15	7	3	can	can	AUX
0v838052d15	7	4	be	be	AUX
0v838052d15	7	5	applied	apply	VERB
0v838052d15	7	6	to	to	ADP
0v838052d15	7	7	community	community	NOUN
0v838052d15	7	8	detection	detection	NOUN
0v838052d15	7	9	in	in	ADP
0v838052d15	7	10	both	both	CCONJ
0v838052d15	7	11	dense	dense	ADJ
0v838052d15	7	12	and	and	CCONJ
0v838052d15	7	13	sparse	sparse	ADJ
0v838052d15	7	14	networks	network	NOUN
0v838052d15	7	15	.	.	PUNCT
0v838052d15	8	1	we	we	PRON
0v838052d15	8	2	carried	carry	VERB
0v838052d15	8	3	out	out	ADP
0v838052d15	8	4	a	a	DET
0v838052d15	8	5	comprehensive	comprehensive	ADJ
0v838052d15	8	6	simulation	simulation	NOUN
0v838052d15	8	7	study	study	NOUN
0v838052d15	8	8	and	and	CCONJ
0v838052d15	8	9	apply	apply	VERB
0v838052d15	8	10	our	our	PRON
0v838052d15	8	11	model	model	NOUN
0v838052d15	8	12	to	to	ADP
0v838052d15	8	13	two	two	NUM
0v838052d15	8	14	real	real	ADJ
0v838052d15	8	15	data	datum	NOUN
0v838052d15	8	16	sets	set	NOUN
0v838052d15	8	17	which	which	PRON
0v838052d15	8	18	demonstrated	demonstrate	VERB
0v838052d15	8	19	superior	superior	ADJ
0v838052d15	8	20	performance	performance	NOUN
0v838052d15	8	21	of	of	ADP
0v838052d15	8	22	our	our	PRON
0v838052d15	8	23	model	model	NOUN
0v838052d15	8	24	over	over	ADP
0v838052d15	8	25	existing	exist	VERB
0v838052d15	8	26	methods.for	methods.for	ADP
0v838052d15	8	27	community	community	NOUN
0v838052d15	8	28	detection	detection	NOUN
0v838052d15	8	29	in	in	ADP
0v838052d15	8	30	sparse	sparse	ADJ
0v838052d15	8	31	weighted	weighted	ADJ
0v838052d15	8	32	network	network	NOUN
0v838052d15	8	33	,	,	PUNCT
0v838052d15	8	34	we	we	PRON
0v838052d15	8	35	propose	propose	VERB
0v838052d15	8	36	a	a	DET
0v838052d15	8	37	novel	novel	ADJ
0v838052d15	8	38	bayesian	bayesian	ADJ
0v838052d15	8	39	model	model	NOUN
0v838052d15	8	40	,	,	PUNCT
0v838052d15	8	41	which	which	PRON
0v838052d15	8	42	we	we	PRON
0v838052d15	8	43	call	call	VERB
0v838052d15	8	44	the	the	DET
0v838052d15	8	45	spike	spike	NOUN
0v838052d15	8	46	and	and	CCONJ
0v838052d15	8	47	slab	slab	NOUN
0v838052d15	8	48	stochastic	stochastic	ADJ
0v838052d15	8	49	block	block	NOUN
0v838052d15	8	50	model	model	NOUN
0v838052d15	8	51	(	(	PUNCT
0v838052d15	8	52	sssbm	sssbm	NOUN
0v838052d15	8	53	)	)	PUNCT
0v838052d15	8	54	.	.	PUNCT
0v838052d15	9	1	a	a	DET
0v838052d15	9	2	random	random	ADJ
0v838052d15	9	3	partition	partition	NOUN
0v838052d15	9	4	model	model	NOUN
0v838052d15	9	5	such	such	ADJ
0v838052d15	9	6	as	as	ADP
0v838052d15	9	7	the	the	DET
0v838052d15	9	8	chinese	chinese	ADJ
0v838052d15	9	9	restaurant	restaurant	NOUN
0v838052d15	9	10	process	process	NOUN
0v838052d15	9	11	is	be	AUX
0v838052d15	9	12	combined	combine	VERB
0v838052d15	9	13	with	with	ADP
0v838052d15	9	14	the	the	DET
0v838052d15	9	15	spike	spike	NOUN
0v838052d15	9	16	and	and	CCONJ
0v838052d15	9	17	slab	slab	NOUN
0v838052d15	9	18	prior	prior	ADV
0v838052d15	9	19	for	for	ADP
0v838052d15	9	20	modeling	model	VERB
0v838052d15	9	21	the	the	DET
0v838052d15	9	22	community	community	NOUN
0v838052d15	9	23	structure	structure	NOUN
0v838052d15	9	24	as	as	ADV
0v838052d15	9	25	well	well	ADV
0v838052d15	9	26	as	as	ADP
0v838052d15	9	27	the	the	DET
0v838052d15	9	28	sparsity	sparsity	NOUN
0v838052d15	9	29	of	of	ADP
0v838052d15	9	30	the	the	DET
0v838052d15	9	31	networks	network	NOUN
0v838052d15	9	32	.	.	PUNCT
0v838052d15	10	1	a	a	DET
0v838052d15	10	2	random	random	ADJ
0v838052d15	10	3	partition	partition	NOUN
0v838052d15	10	4	prior	prior	ADV
0v838052d15	10	5	such	such	ADJ
0v838052d15	10	6	as	as	ADP
0v838052d15	10	7	the	the	DET
0v838052d15	10	8	chinese	chinese	ADJ
0v838052d15	10	9	restaurant	restaurant	NOUN
0v838052d15	10	10	process	process	NOUN
0v838052d15	10	11	,	,	PUNCT
0v838052d15	10	12	is	be	AUX
0v838052d15	10	13	imposed	impose	VERB
0v838052d15	10	14	on	on	ADP
0v838052d15	10	15	the	the	DET
0v838052d15	10	16	community	community	NOUN
0v838052d15	10	17	structure	structure	NOUN
0v838052d15	10	18	under	under	ADP
0v838052d15	10	19	which	which	PRON
0v838052d15	10	20	the	the	DET
0v838052d15	10	21	edge	edge	NOUN
0v838052d15	10	22	weights	weight	NOUN
0v838052d15	10	23	are	be	AUX
0v838052d15	10	24	assumed	assume	VERB
0v838052d15	10	25	to	to	PART
0v838052d15	10	26	follow	follow	VERB
0v838052d15	10	27	a	a	DET
0v838052d15	10	28	cluster	cluster	NOUN
0v838052d15	10	29	-	-	PUNCT
0v838052d15	10	30	dependent	dependent	ADJ
0v838052d15	10	31	spike	spike	NOUN
0v838052d15	10	32	and	and	CCONJ
0v838052d15	10	33	slab	slab	NOUN
0v838052d15	10	34	distribution	distribution	NOUN
0v838052d15	10	35	.	.	PUNCT
0v838052d15	11	1	one	one	NUM
0v838052d15	11	2	of	of	ADP
0v838052d15	11	3	the	the	DET
0v838052d15	11	4	key	key	ADJ
0v838052d15	11	5	novelties	novelty	NOUN
0v838052d15	11	6	of	of	ADP
0v838052d15	11	7	our	our	PRON
0v838052d15	11	8	model	model	NOUN
0v838052d15	11	9	is	be	AUX
0v838052d15	11	10	that	that	SCONJ
0v838052d15	11	11	it	it	PRON
0v838052d15	11	12	can	can	AUX
0v838052d15	11	13	explicitly	explicitly	ADV
0v838052d15	11	14	model	model	VERB
0v838052d15	11	15	the	the	DET
0v838052d15	11	16	sparsity	sparsity	NOUN
0v838052d15	11	17	levels	level	NOUN
0v838052d15	11	18	of	of	ADP
0v838052d15	11	19	edge	edge	NOUN
0v838052d15	11	20	weights	weight	NOUN
0v838052d15	11	21	,	,	PUNCT
0v838052d15	11	22	and	and	CCONJ
0v838052d15	11	23	the	the	DET
0v838052d15	11	24	sparsity	sparsity	NOUN
0v838052d15	11	25	patterns	pattern	NOUN
0v838052d15	11	26	are	be	AUX
0v838052d15	11	27	allowed	allow	VERB
0v838052d15	11	28	to	to	PART
0v838052d15	11	29	vary	vary	VERB
0v838052d15	11	30	according	accord	VERB
0v838052d15	11	31	to	to	ADP
0v838052d15	11	32	the	the	DET
0v838052d15	11	33	community	community	NOUN
0v838052d15	11	34	structure	structure	NOUN
0v838052d15	11	35	.	.	PUNCT
0v838052d15	12	1	another	another	DET
0v838052d15	12	2	appealing	appealing	ADJ
0v838052d15	12	3	feature	feature	NOUN
0v838052d15	12	4	of	of	ADP
0v838052d15	12	5	our	our	PRON
0v838052d15	12	6	model	model	NOUN
0v838052d15	12	7	is	be	AUX
0v838052d15	12	8	that	that	SCONJ
0v838052d15	12	9	it	it	PRON
0v838052d15	12	10	automatically	automatically	ADV
0v838052d15	12	11	learns	learn	VERB
0v838052d15	12	12	the	the	DET
0v838052d15	12	13	number	number	NOUN
0v838052d15	12	14	of	of	ADP
0v838052d15	12	15	communities	community	NOUN
0v838052d15	12	16	in	in	ADP
0v838052d15	12	17	a	a	DET
0v838052d15	12	18	network	network	NOUN
0v838052d15	12	19	without	without	ADP
0v838052d15	12	20	having	have	VERB
0v838052d15	12	21	to	to	PART
0v838052d15	12	22	assume	assume	VERB
0v838052d15	12	23	it	it	PRON
0v838052d15	12	24	is	be	AUX
0v838052d15	12	25	known	know	VERB
0v838052d15	12	26	or	or	CCONJ
0v838052d15	12	27	estimating	estimate	VERB
0v838052d15	12	28	it	it	PRON
0v838052d15	12	29	beforehand	beforehand	ADV
0v838052d15	12	30	.	.	PUNCT
0v838052d15	13	1	efficient	efficient	ADJ
0v838052d15	13	2	mcmc	mcmc	NOUN
0v838052d15	13	3	algorithms	algorithm	NOUN
0v838052d15	13	4	are	be	AUX
0v838052d15	13	5	developed	develop	VERB
0v838052d15	13	6	for	for	ADP
0v838052d15	13	7	sampling	sample	VERB
0v838052d15	13	8	the	the	DET
0v838052d15	13	9	posterior	posterior	ADJ
0v838052d15	13	10	distribution	distribution	NOUN
0v838052d15	13	11	of	of	ADP
0v838052d15	13	12	the	the	DET
0v838052d15	13	13	parameters	parameter	NOUN
0v838052d15	13	14	.	.	PUNCT
0v838052d15	14	1	extension	extension	NOUN
0v838052d15	14	2	simulation	simulation	NOUN
0v838052d15	14	3	study	study	NOUN
0v838052d15	14	4	and	and	CCONJ
0v838052d15	14	5	data	datum	NOUN
0v838052d15	14	6	analysis	analysis	NOUN
0v838052d15	14	7	have	have	AUX
0v838052d15	14	8	been	be	AUX
0v838052d15	14	9	carried	carry	VERB
0v838052d15	14	10	out	out	ADP
0v838052d15	14	11	demonstrating	demonstrate	VERB
0v838052d15	14	12	the	the	DET
0v838052d15	14	13	efficiency	efficiency	NOUN
0v838052d15	14	14	as	as	ADV
0v838052d15	14	15	well	well	ADV
0v838052d15	14	16	as	as	ADP
0v838052d15	14	17	the	the	DET
0v838052d15	14	18	utilities	utility	NOUN
0v838052d15	14	19	of	of	ADP
0v838052d15	14	20	our	our	PRON
0v838052d15	14	21	algorithms.in	algorithms.in	NUM
0v838052d15	14	22	the	the	DET
0v838052d15	14	23	change	change	NOUN
0v838052d15	14	24	-	-	PUNCT
0v838052d15	14	25	point	point	NOUN
0v838052d15	14	26	problem	problem	NOUN
0v838052d15	14	27	,	,	PUNCT
0v838052d15	14	28	one	one	NUM
0v838052d15	14	29	studies	study	NOUN
0v838052d15	14	30	a	a	DET
0v838052d15	14	31	series	series	NOUN
0v838052d15	14	32	of	of	ADP
0v838052d15	14	33	networks	network	NOUN
0v838052d15	14	34	indexed	index	VERB
0v838052d15	14	35	by	by	ADP
0v838052d15	14	36	time	time	NOUN
0v838052d15	14	37	and	and	CCONJ
0v838052d15	14	38	wants	want	VERB
0v838052d15	14	39	to	to	PART
0v838052d15	14	40	find	find	VERB
0v838052d15	14	41	out	out	ADP
0v838052d15	14	42	whether	whether	SCONJ
0v838052d15	14	43	there	there	PRON
0v838052d15	14	44	is	be	VERB
0v838052d15	14	45	a	a	DET
0v838052d15	14	46	significant	significant	ADJ
0v838052d15	14	47	change	change	NOUN
0v838052d15	14	48	in	in	ADP
0v838052d15	14	49	the	the	DET
0v838052d15	14	50	structure	structure	NOUN
0v838052d15	14	51	of	of	ADP
0v838052d15	14	52	these	these	DET
0v838052d15	14	53	networks	network	NOUN
0v838052d15	14	54	at	at	ADP
0v838052d15	14	55	some	some	DET
0v838052d15	14	56	time	time	NOUN
0v838052d15	14	57	point	point	NOUN
0v838052d15	14	58	.	.	PUNCT
0v838052d15	15	1	in	in	ADP
0v838052d15	15	2	our	our	PRON
0v838052d15	15	3	work	work	NOUN
0v838052d15	15	4	,	,	PUNCT
0v838052d15	15	5	different	different	ADJ
0v838052d15	15	6	from	from	ADP
0v838052d15	15	7	classical	classical	ADJ
0v838052d15	15	8	network	network	NOUN
0v838052d15	15	9	inference	inference	NOUN
0v838052d15	15	10	methods	method	NOUN
0v838052d15	15	11	,	,	PUNCT
0v838052d15	15	12	which	which	PRON
0v838052d15	15	13	are	be	AUX
0v838052d15	15	14	mainly	mainly	ADV
0v838052d15	15	15	based	base	VERB
0v838052d15	15	16	on	on	ADP
0v838052d15	15	17	node	node	PROPN
0v838052d15	15	18	,	,	PUNCT
0v838052d15	15	19	edge	edge	NOUN
0v838052d15	15	20	,	,	PUNCT
0v838052d15	15	21	or	or	CCONJ
0v838052d15	15	22	correlation	correlation	NOUN
0v838052d15	15	23	,	,	PUNCT
0v838052d15	15	24	we	we	PRON
0v838052d15	15	25	also	also	ADV
0v838052d15	15	26	take	take	VERB
0v838052d15	15	27	the	the	DET
0v838052d15	15	28	underlying	underlying	ADJ
0v838052d15	15	29	topological	topological	ADJ
0v838052d15	15	30	structure	structure	NOUN
0v838052d15	15	31	into	into	ADP
0v838052d15	15	32	account	account	NOUN
0v838052d15	15	33	.	.	PUNCT
0v838052d15	16	1	we	we	PRON
0v838052d15	16	2	extracted	extract	VERB
0v838052d15	16	3	topological	topological	ADJ
0v838052d15	16	4	features	feature	NOUN
0v838052d15	16	5	from	from	ADP
0v838052d15	16	6	these	these	DET
0v838052d15	16	7	networks	network	NOUN
0v838052d15	16	8	using	use	VERB
0v838052d15	16	9	persistent	persistent	ADJ
0v838052d15	16	10	homology	homology	NOUN
0v838052d15	16	11	and	and	CCONJ
0v838052d15	16	12	then	then	ADV
0v838052d15	16	13	employed	employ	VERB
0v838052d15	16	14	tools	tool	NOUN
0v838052d15	16	15	from	from	ADP
0v838052d15	16	16	topological	topological	ADJ
0v838052d15	16	17	data	datum	NOUN
0v838052d15	16	18	analysis	analysis	NOUN
0v838052d15	16	19	to	to	PART
0v838052d15	16	20	perform	perform	VERB
0v838052d15	16	21	change	change	NOUN
0v838052d15	16	22	point	point	NOUN
0v838052d15	16	23	detection	detection	NOUN
0v838052d15	16	24	on	on	ADP
0v838052d15	16	25	networks	network	NOUN
0v838052d15	16	26	.	.	PUNCT
0v838052d15	17	1	we	we	PRON
0v838052d15	17	2	illustrate	illustrate	VERB
0v838052d15	17	3	our	our	PRON
0v838052d15	17	4	method	method	NOUN
0v838052d15	17	5	using	use	VERB
0v838052d15	17	6	both	both	CCONJ
0v838052d15	17	7	simulated	simulated	ADJ
0v838052d15	17	8	and	and	CCONJ
0v838052d15	17	9	real	real	ADJ
0v838052d15	17	10	data	datum	NOUN
0v838052d15	17	11	set	set	VERB
0v838052d15	17	12	.	.	PUNCT