id	sid	tid	token	lemma	pos
bracis-28350	1	1	community	community	NOUN
bracis-28350	1	2	detection	detection	NOUN
bracis-28350	1	3	for	for	ADP
bracis-28350	1	4	 	 	SPACE
bracis-28350	1	5	multi	multi	ADJ
bracis-28350	1	6	-	-	ADJ
bracis-28350	1	7	label	label	ADJ
bracis-28350	1	8	classification	classification	NOUN
bracis-28350	1	9	|	|	NOUN
bracis-28350	1	10	springer	springer	NOUN
bracis-28350	1	11	nature	nature	PROPN
bracis-28350	1	12	link	link	PROPN
bracis-28350	1	13	(	(	PUNCT
bracis-28350	1	14	formerly	formerly	ADV
bracis-28350	1	15	springerlink	springerlink	NOUN
bracis-28350	1	16	)	)	PUNCT
bracis-28350	1	17	skip	skip	VERB
bracis-28350	1	18	to	to	ADP
bracis-28350	1	19	main	main	ADJ
bracis-28350	1	20	content	content	NOUN
bracis-28350	1	21	advertisement	advertisement	NOUN
bracis-28350	1	22	log	log	NOUN
bracis-28350	1	23	in	in	ADP
bracis-28350	1	24	menu	menu	NOUN
bracis-28350	1	25	find	find	VERB
bracis-28350	1	26	a	a	DET
bracis-28350	1	27	journal	journal	NOUN
bracis-28350	1	28	publish	publish	VERB
bracis-28350	1	29	with	with	ADP
bracis-28350	1	30	us	we	PRON
bracis-28350	1	31	track	track	VERB
bracis-28350	1	32	your	your	PRON
bracis-28350	1	33	research	research	NOUN
bracis-28350	1	34	search	search	NOUN
bracis-28350	1	35	cart	cart	NOUN
bracis-28350	1	36	home	home	NOUN
bracis-28350	1	37	intelligent	intelligent	ADJ
bracis-28350	1	38	systems	system	NOUN
bracis-28350	1	39	conference	conference	NOUN
bracis-28350	1	40	paper	paper	NOUN
bracis-28350	1	41	community	community	NOUN
bracis-28350	1	42	detection	detection	NOUN
bracis-28350	1	43	for	for	ADP
bracis-28350	1	44	 	 	SPACE
bracis-28350	1	45	multi	multi	ADJ
bracis-28350	1	46	-	-	ADJ
bracis-28350	1	47	label	label	ADJ
bracis-28350	1	48	classification	classification	NOUN
bracis-28350	1	49	conference	conference	NOUN
bracis-28350	1	50	paper	paper	NOUN
bracis-28350	1	51	first	first	ADV
bracis-28350	1	52	online	online	ADV
bracis-28350	1	53	:	:	PUNCT
bracis-28350	1	54	12	12	NUM
bracis-28350	1	55	october	october	NOUN
bracis-28350	1	56	2023	2023	NUM
bracis-28350	2	1	pp	pp	SYM
bracis-28350	3	1	78–93	78–93	NUM
bracis-28350	3	2	cite	cite	VERB
bracis-28350	3	3	this	this	DET
bracis-28350	3	4	conference	conference	NOUN
bracis-28350	3	5	paper	paper	NOUN
bracis-28350	3	6	access	access	NOUN
bracis-28350	3	7	provided	provide	VERB
bracis-28350	3	8	by	by	ADP
bracis-28350	3	9	university	university	PROPN
bracis-28350	3	10	of	of	ADP
bracis-28350	3	11	notre	notre	PROPN
bracis-28350	3	12	dame	dame	PROPN
bracis-28350	3	13	hesburgh	hesburgh	PROPN
bracis-28350	3	14	library	library	PROPN
bracis-28350	3	15	download	download	PROPN
bracis-28350	3	16	book	book	NOUN
bracis-28350	3	17	pdf	pdf	PROPN
bracis-28350	3	18	download	download	NOUN
bracis-28350	3	19	book	book	NOUN
bracis-28350	3	20	epub	epub	PROPN
bracis-28350	3	21	intelligent	intelligent	ADJ
bracis-28350	3	22	systems	system	NOUN
bracis-28350	3	23	(	(	PUNCT
bracis-28350	3	24	bracis	bracis	NOUN
bracis-28350	3	25	2023	2023	NUM
bracis-28350	3	26	)	)	PUNCT
bracis-28350	3	27	community	community	NOUN
bracis-28350	3	28	detection	detection	NOUN
bracis-28350	3	29	for	for	ADP
bracis-28350	3	30	 	 	SPACE
bracis-28350	3	31	multi	multi	ADJ
bracis-28350	3	32	-	-	ADJ
bracis-28350	3	33	label	label	ADJ
bracis-28350	3	34	classification	classification	NOUN
bracis-28350	3	35	download	download	NOUN
bracis-28350	3	36	book	book	NOUN
bracis-28350	3	37	pdf	pdf	PROPN
bracis-28350	3	38	download	download	NOUN
bracis-28350	3	39	book	book	PROPN
bracis-28350	3	40	epub	epub	PROPN
bracis-28350	3	41	elaine	elaine	PROPN
bracis-28350	3	42	cecília	cecília	PROPN
bracis-28350	3	43	gatto	gatto	PROPN
bracis-28350	3	44	  	  	SPACE
bracis-28350	3	45	orcid	orcid	NOUN
bracis-28350	3	46	:	:	PUNCT
bracis-28350	3	47	orcid.org/0000-0002-3322-64079	orcid.org/0000-0002-3322-64079	PROPN
bracis-28350	3	48	,	,	PUNCT
bracis-28350	3	49	alan	alan	PROPN
bracis-28350	3	50	demétrius	demétrius	PROPN
bracis-28350	3	51	baria	baria	PROPN
bracis-28350	3	52	valejo	valejo	ADJ
bracis-28350	3	53	  	  	SPACE
bracis-28350	3	54	orcid	orcid	NOUN
bracis-28350	3	55	:	:	PUNCT
bracis-28350	3	56	orcid.org/0000-0002-9046-94999	orcid.org/0000-0002-9046-94999	NOUN
bracis-28350	3	57	,	,	PUNCT
bracis-28350	3	58	mauri	mauri	PROPN
bracis-28350	3	59	ferrandin	ferrandin	NOUN
bracis-28350	3	60	  	  	SPACE
bracis-28350	3	61	orcid	orcid	NOUN
bracis-28350	3	62	:	:	PUNCT
bracis-28350	3	63	orcid.org/0000-0002-4248-120710	orcid.org/0000-0002-4248-120710	PROPN
bracis-28350	3	64	&	&	CCONJ
bracis-28350	3	65	…	…	PUNCT
bracis-28350	3	66	ricardo	ricardo	PROPN
bracis-28350	3	67	cerri	cerri	PROPN
bracis-28350	3	68	  	  	SPACE
bracis-28350	3	69	orcid	orcid	NOUN
bracis-28350	3	70	:	:	PUNCT
bracis-28350	3	71	orcid.org/0000-0002-2582-16959	orcid.org/0000-0002-2582-16959	NOUN
bracis-28350	3	72	  	  	SPACE
bracis-28350	3	73	show	show	VERB
bracis-28350	3	74	authors	author	NOUN
bracis-28350	3	75	part	part	NOUN
bracis-28350	3	76	of	of	ADP
bracis-28350	3	77	the	the	DET
bracis-28350	3	78	book	book	NOUN
bracis-28350	3	79	series	series	NOUN
bracis-28350	3	80	:	:	PUNCT
bracis-28350	3	81	lecture	lecture	NOUN
bracis-28350	3	82	notes	note	NOUN
bracis-28350	3	83	in	in	ADP
bracis-28350	3	84	computer	computer	NOUN
bracis-28350	3	85	science	science	NOUN
bracis-28350	3	86	(	(	PUNCT
bracis-28350	3	87	(	(	PUNCT
bracis-28350	3	88	lnai	lnai	ADJ
bracis-28350	3	89	,	,	PUNCT
bracis-28350	3	90	volume	volume	NOUN
bracis-28350	3	91	14195	14195	NUM
bracis-28350	3	92	)	)	PUNCT
bracis-28350	3	93	)	)	PUNCT
bracis-28350	3	94	included	include	VERB
bracis-28350	3	95	in	in	ADP
bracis-28350	3	96	the	the	DET
bracis-28350	3	97	following	follow	VERB
bracis-28350	3	98	conference	conference	NOUN
bracis-28350	3	99	series	series	NOUN
bracis-28350	3	100	:	:	PUNCT
bracis-28350	3	101	brazilian	brazilian	ADJ
bracis-28350	3	102	conference	conference	NOUN
bracis-28350	3	103	on	on	ADP
bracis-28350	3	104	intelligent	intelligent	ADJ
bracis-28350	3	105	systems	system	NOUN
bracis-28350	3	106	565	565	NUM
bracis-28350	3	107	accesses	access	NOUN
bracis-28350	3	108	1	1	NUM
bracis-28350	3	109	citation	citation	NOUN
bracis-28350	3	110	1	1	NUM
bracis-28350	3	111	altmetric	altmetric	ADJ
bracis-28350	3	112	abstract	abstract	NOUN
bracis-28350	3	113	exploring	explore	VERB
bracis-28350	3	114	label	label	NOUN
bracis-28350	3	115	correlations	correlation	NOUN
bracis-28350	3	116	is	be	AUX
bracis-28350	3	117	one	one	NUM
bracis-28350	3	118	of	of	ADP
bracis-28350	3	119	the	the	DET
bracis-28350	3	120	main	main	ADJ
bracis-28350	3	121	challenges	challenge	NOUN
bracis-28350	3	122	in	in	ADP
bracis-28350	3	123	multi	multi	ADJ
bracis-28350	3	124	-	-	ADJ
bracis-28350	3	125	label	label	ADJ
bracis-28350	3	126	classification	classification	NOUN
bracis-28350	3	127	.	.	PUNCT
bracis-28350	4	1	the	the	DET
bracis-28350	4	2	literature	literature	NOUN
bracis-28350	4	3	shows	show	VERB
bracis-28350	4	4	that	that	SCONJ
bracis-28350	4	5	prediction	prediction	NOUN
bracis-28350	4	6	performances	performance	NOUN
bracis-28350	4	7	can	can	AUX
bracis-28350	4	8	be	be	AUX
bracis-28350	4	9	improved	improve	VERB
bracis-28350	4	10	when	when	SCONJ
bracis-28350	4	11	classifiers	classifier	NOUN
bracis-28350	4	12	learn	learn	VERB
bracis-28350	4	13	these	these	DET
bracis-28350	4	14	correlations	correlation	NOUN
bracis-28350	4	15	.	.	PUNCT
bracis-28350	5	1	on	on	ADP
bracis-28350	5	2	the	the	DET
bracis-28350	5	3	other	other	ADJ
bracis-28350	5	4	hand	hand	NOUN
bracis-28350	5	5	,	,	PUNCT
bracis-28350	5	6	some	some	DET
bracis-28350	5	7	works	work	NOUN
bracis-28350	5	8	also	also	ADV
bracis-28350	5	9	argue	argue	VERB
bracis-28350	5	10	that	that	SCONJ
bracis-28350	5	11	the	the	DET
bracis-28350	5	12	multi	multi	ADJ
bracis-28350	5	13	-	-	ADJ
bracis-28350	5	14	label	label	ADJ
bracis-28350	5	15	classification	classification	NOUN
bracis-28350	5	16	methods	method	NOUN
bracis-28350	5	17	can	can	AUX
bracis-28350	5	18	not	not	PART
bracis-28350	5	19	explore	explore	VERB
bracis-28350	5	20	label	label	NOUN
bracis-28350	5	21	correlations	correlation	NOUN
bracis-28350	5	22	.	.	PUNCT
bracis-28350	6	1	the	the	DET
bracis-28350	6	2	traditional	traditional	ADJ
bracis-28350	6	3	multi	multi	ADJ
bracis-28350	6	4	-	-	ADJ
bracis-28350	6	5	label	label	ADJ
bracis-28350	6	6	local	local	ADJ
bracis-28350	6	7	approach	approach	NOUN
bracis-28350	6	8	uses	use	VERB
bracis-28350	6	9	only	only	ADJ
bracis-28350	6	10	information	information	NOUN
bracis-28350	6	11	from	from	ADP
bracis-28350	6	12	individual	individual	ADJ
bracis-28350	6	13	labels	label	NOUN
bracis-28350	6	14	,	,	PUNCT
bracis-28350	6	15	which	which	PRON
bracis-28350	6	16	makes	make	VERB
bracis-28350	6	17	it	it	PRON
bracis-28350	6	18	impractical	impractical	ADJ
bracis-28350	6	19	to	to	PART
bracis-28350	6	20	find	find	VERB
bracis-28350	6	21	relationships	relationship	NOUN
bracis-28350	6	22	between	between	ADP
bracis-28350	6	23	them	they	PRON
bracis-28350	6	24	.	.	PUNCT
bracis-28350	7	1	in	in	ADP
bracis-28350	7	2	contrast	contrast	NOUN
bracis-28350	7	3	,	,	PUNCT
bracis-28350	7	4	the	the	DET
bracis-28350	7	5	multi	multi	ADJ
bracis-28350	7	6	-	-	ADJ
bracis-28350	7	7	label	label	ADJ
bracis-28350	7	8	global	global	ADJ
bracis-28350	7	9	approach	approach	NOUN
bracis-28350	7	10	uses	use	VERB
bracis-28350	7	11	information	information	NOUN
bracis-28350	7	12	from	from	ADP
bracis-28350	7	13	all	all	DET
bracis-28350	7	14	labels	label	NOUN
bracis-28350	7	15	simultaneously	simultaneously	ADV
bracis-28350	7	16	and	and	CCONJ
bracis-28350	7	17	may	may	AUX
bracis-28350	7	18	miss	miss	VERB
bracis-28350	7	19	more	more	ADV
bracis-28350	7	20	specific	specific	ADJ
bracis-28350	7	21	relationships	relationship	NOUN
bracis-28350	7	22	that	that	PRON
bracis-28350	7	23	are	be	AUX
bracis-28350	7	24	relevant	relevant	ADJ
bracis-28350	7	25	.	.	PUNCT
bracis-28350	8	1	to	to	PART
bracis-28350	8	2	overcome	overcome	VERB
bracis-28350	8	3	these	these	DET
bracis-28350	8	4	limitations	limitation	NOUN
bracis-28350	8	5	and	and	CCONJ
bracis-28350	8	6	verify	verify	VERB
bracis-28350	8	7	if	if	SCONJ
bracis-28350	8	8	improving	improve	VERB
bracis-28350	8	9	the	the	DET
bracis-28350	8	10	prediction	prediction	NOUN
bracis-28350	8	11	performances	performance	NOUN
bracis-28350	8	12	of	of	ADP
bracis-28350	8	13	multi	multi	ADJ
bracis-28350	8	14	-	-	ADJ
bracis-28350	8	15	label	label	ADJ
bracis-28350	8	16	classifiers	classifier	NOUN
bracis-28350	8	17	is	be	AUX
bracis-28350	8	18	possible	possible	ADJ
bracis-28350	8	19	,	,	PUNCT
bracis-28350	8	20	we	we	PRON
bracis-28350	8	21	propose	propose	VERB
bracis-28350	8	22	using	use	VERB
bracis-28350	8	23	community	community	NOUN
bracis-28350	8	24	detection	detection	NOUN
bracis-28350	8	25	methods	method	NOUN
bracis-28350	8	26	to	to	PART
bracis-28350	8	27	model	model	VERB
bracis-28350	8	28	label	label	NOUN
bracis-28350	8	29	correlations	correlation	NOUN
bracis-28350	8	30	and	and	CCONJ
bracis-28350	8	31	partition	partition	VERB
bracis-28350	8	32	the	the	DET
bracis-28350	8	33	label	label	NOUN
bracis-28350	8	34	space	space	NOUN
bracis-28350	8	35	into	into	ADP
bracis-28350	8	36	partitions	partition	NOUN
bracis-28350	8	37	between	between	ADP
bracis-28350	8	38	the	the	DET
bracis-28350	8	39	local	local	ADJ
bracis-28350	8	40	and	and	CCONJ
bracis-28350	8	41	global	global	ADJ
bracis-28350	8	42	ones	one	NOUN
bracis-28350	8	43	.	.	PUNCT
bracis-28350	9	1	these	these	DET
bracis-28350	9	2	partitions	partition	NOUN
bracis-28350	9	3	,	,	PUNCT
bracis-28350	9	4	here	here	ADV
bracis-28350	9	5	named	name	VERB
bracis-28350	9	6	hybrid	hybrid	ADJ
bracis-28350	9	7	partitions	partition	NOUN
bracis-28350	9	8	,	,	PUNCT
bracis-28350	9	9	are	be	AUX
bracis-28350	9	10	formed	form	VERB
bracis-28350	9	11	of	of	ADP
bracis-28350	9	12	disjoint	disjoint	NOUN
bracis-28350	9	13	clusters	cluster	NOUN
bracis-28350	9	14	of	of	ADP
bracis-28350	9	15	correlated	correlate	VERB
bracis-28350	9	16	labels	label	NOUN
bracis-28350	9	17	,	,	PUNCT
bracis-28350	9	18	which	which	PRON
bracis-28350	9	19	are	be	AUX
bracis-28350	9	20	then	then	ADV
bracis-28350	9	21	used	use	VERB
bracis-28350	9	22	to	to	PART
bracis-28350	9	23	build	build	VERB
bracis-28350	9	24	multi	multi	ADJ
bracis-28350	9	25	-	-	ADJ
bracis-28350	9	26	label	label	ADJ
bracis-28350	9	27	datasets	dataset	NOUN
bracis-28350	9	28	and	and	CCONJ
bracis-28350	9	29	train	train	VERB
bracis-28350	9	30	multi	multi	ADJ
bracis-28350	9	31	-	-	ADJ
bracis-28350	9	32	label	label	ADJ
bracis-28350	9	33	classifiers	classifier	NOUN
bracis-28350	9	34	.	.	PUNCT
bracis-28350	10	1	since	since	SCONJ
bracis-28350	10	2	our	our	PRON
bracis-28350	10	3	proposal	proposal	NOUN
bracis-28350	10	4	can	can	AUX
bracis-28350	10	5	generate	generate	VERB
bracis-28350	10	6	several	several	ADJ
bracis-28350	10	7	hybrid	hybrid	ADJ
bracis-28350	10	8	partitions	partition	NOUN
bracis-28350	10	9	,	,	PUNCT
bracis-28350	10	10	we	we	PRON
bracis-28350	10	11	validate	validate	VERB
bracis-28350	10	12	all	all	PRON
bracis-28350	10	13	of	of	ADP
bracis-28350	10	14	them	they	PRON
bracis-28350	10	15	and	and	CCONJ
bracis-28350	10	16	choose	choose	VERB
bracis-28350	10	17	the	the	DET
bracis-28350	10	18	one	one	NOUN
bracis-28350	10	19	that	that	PRON
bracis-28350	10	20	is	be	AUX
bracis-28350	10	21	considered	consider	VERB
bracis-28350	10	22	the	the	DET
bracis-28350	10	23	best	good	ADJ
bracis-28350	10	24	.	.	PUNCT
bracis-28350	11	1	we	we	PRON
bracis-28350	11	2	compared	compare	VERB
bracis-28350	11	3	our	our	PRON
bracis-28350	11	4	hybrid	hybrid	ADJ
bracis-28350	11	5	partitions	partition	NOUN
bracis-28350	11	6	with	with	ADP
bracis-28350	11	7	the	the	DET
bracis-28350	11	8	local	local	ADJ
bracis-28350	11	9	and	and	CCONJ
bracis-28350	11	10	global	global	ADJ
bracis-28350	11	11	approaches	approach	NOUN
bracis-28350	11	12	and	and	CCONJ
bracis-28350	11	13	an	an	DET
bracis-28350	11	14	approach	approach	NOUN
bracis-28350	11	15	that	that	PRON
bracis-28350	11	16	generates	generate	VERB
bracis-28350	11	17	random	random	ADJ
bracis-28350	11	18	partitions	partition	NOUN
bracis-28350	11	19	.	.	PUNCT
bracis-28350	12	1	although	although	SCONJ
bracis-28350	12	2	our	our	PRON
bracis-28350	12	3	proposal	proposal	NOUN
bracis-28350	12	4	improved	improve	VERB
bracis-28350	12	5	the	the	DET
bracis-28350	12	6	predictive	predictive	ADJ
bracis-28350	12	7	performance	performance	NOUN
bracis-28350	12	8	of	of	ADP
bracis-28350	12	9	the	the	DET
bracis-28350	12	10	used	use	VERB
bracis-28350	12	11	classifier	classifier	NOUN
bracis-28350	12	12	in	in	ADP
bracis-28350	12	13	some	some	DET
bracis-28350	12	14	datasets	dataset	NOUN
bracis-28350	12	15	compared	compare	VERB
bracis-28350	12	16	with	with	ADP
bracis-28350	12	17	other	other	ADJ
bracis-28350	12	18	partitions	partition	NOUN
bracis-28350	12	19	,	,	PUNCT
bracis-28350	12	20	it	it	PRON
bracis-28350	12	21	also	also	ADV
bracis-28350	12	22	showed	show	VERB
bracis-28350	12	23	that	that	SCONJ
bracis-28350	12	24	,	,	PUNCT
bracis-28350	12	25	in	in	ADP
bracis-28350	12	26	general	general	ADJ
bracis-28350	12	27	,	,	PUNCT
bracis-28350	12	28	independent	independent	ADJ
bracis-28350	12	29	of	of	ADP
bracis-28350	12	30	the	the	DET
bracis-28350	12	31	approach	approach	NOUN
bracis-28350	12	32	used	use	VERB
bracis-28350	12	33	,	,	PUNCT
bracis-28350	12	34	the	the	DET
bracis-28350	12	35	classifier	classifier	NOUN
bracis-28350	12	36	still	still	ADV
bracis-28350	12	37	has	have	VERB
bracis-28350	12	38	difficulties	difficulty	NOUN
bracis-28350	12	39	learning	learn	VERB
bracis-28350	12	40	several	several	ADJ
bracis-28350	12	41	labels	label	NOUN
bracis-28350	12	42	and	and	CCONJ
bracis-28350	12	43	predicting	predict	VERB
bracis-28350	12	44	them	they	PRON
bracis-28350	12	45	correctly	correctly	ADV
bracis-28350	12	46	.	.	PUNCT
bracis-28350	13	1	access	access	NOUN
bracis-28350	13	2	provided	provide	VERB
bracis-28350	13	3	by	by	ADP
bracis-28350	13	4	university	university	PROPN
bracis-28350	13	5	of	of	ADP
bracis-28350	13	6	notre	notre	PROPN
bracis-28350	13	7	dame	dame	PROPN
bracis-28350	13	8	hesburgh	hesburgh	PROPN
bracis-28350	13	9	library	library	PROPN
bracis-28350	13	10	.	.	PUNCT
bracis-28350	14	1	download	download	PROPN
bracis-28350	14	2	conference	conference	NOUN
bracis-28350	14	3	paper	paper	NOUN
bracis-28350	14	4	pdf	pdf	NOUN
bracis-28350	14	5	similar	similar	ADJ
bracis-28350	14	6	content	content	NOUN
bracis-28350	14	7	being	be	AUX
bracis-28350	14	8	viewed	view	VERB
bracis-28350	14	9	by	by	ADP
bracis-28350	14	10	others	other	NOUN
bracis-28350	14	11	multi	multi	ADJ
bracis-28350	14	12	-	-	ADJ
bracis-28350	14	13	label	label	ADJ
bracis-28350	14	14	classification	classification	NOUN
bracis-28350	14	15	with	with	ADP
bracis-28350	14	16	label	label	NOUN
bracis-28350	14	17	clusters	cluster	NOUN
bracis-28350	14	18	article	article	NOUN
bracis-28350	14	19	04	04	NUM
bracis-28350	14	20	november	november	PROPN
bracis-28350	14	21	2024	2024	NUM
bracis-28350	14	22	partial	partial	ADJ
bracis-28350	14	23	multi	multi	ADJ
bracis-28350	14	24	-	-	ADJ
bracis-28350	14	25	label	label	ADJ
bracis-28350	14	26	learning	learning	NOUN
bracis-28350	14	27	with	with	ADP
bracis-28350	14	28	instance	instance	NOUN
bracis-28350	14	29	correlations	correlation	NOUN
bracis-28350	14	30	chapter	chapter	NOUN
bracis-28350	14	31	©	©	ADP
bracis-28350	14	32	2024	2024	NUM
bracis-28350	14	33	extracting	extract	VERB
bracis-28350	14	34	label	label	NOUN
bracis-28350	14	35	importance	importance	NOUN
bracis-28350	14	36	information	information	NOUN
bracis-28350	14	37	for	for	ADP
bracis-28350	14	38	multi	multi	ADJ
bracis-28350	14	39	-	-	ADJ
bracis-28350	14	40	label	label	ADJ
bracis-28350	14	41	classification	classification	NOUN
bracis-28350	14	42	chapter	chapter	NOUN
bracis-28350	14	43	©	©	PROPN
bracis-28350	14	44	2018	2018	NUM
bracis-28350	14	45	explore	explore	VERB
bracis-28350	14	46	related	relate	VERB
bracis-28350	14	47	subjects	subject	NOUN
bracis-28350	14	48	discover	discover	VERB
bracis-28350	14	49	the	the	DET
bracis-28350	14	50	latest	late	ADJ
bracis-28350	14	51	articles	article	NOUN
bracis-28350	14	52	,	,	PUNCT
bracis-28350	14	53	books	book	NOUN
bracis-28350	14	54	and	and	CCONJ
bracis-28350	14	55	news	news	NOUN
bracis-28350	14	56	in	in	ADP
bracis-28350	14	57	related	related	ADJ
bracis-28350	14	58	subjects	subject	NOUN
bracis-28350	14	59	,	,	PUNCT
bracis-28350	14	60	suggested	suggest	VERB
bracis-28350	14	61	using	use	VERB
bracis-28350	14	62	machine	machine	NOUN
bracis-28350	14	63	learning	learning	NOUN
bracis-28350	14	64	.	.	PUNCT
bracis-28350	15	1	categorization	categorization	NOUN
bracis-28350	15	2	data	datum	NOUN
bracis-28350	15	3	mining	mining	NOUN
bracis-28350	15	4	functional	functional	ADJ
bracis-28350	15	5	clustering	clustering	ADJ
bracis-28350	15	6	machine	machine	NOUN
bracis-28350	15	7	learning	learn	VERB
bracis-28350	15	8	mixed	mixed	ADJ
bracis-28350	15	9	methods	method	NOUN
bracis-28350	15	10	multivariate	multivariate	VERB
bracis-28350	15	11	analysis	analysis	NOUN
bracis-28350	15	12	1	1	NUM
bracis-28350	15	13	introduction	introduction	NOUN
bracis-28350	15	14	multi	multi	ADJ
bracis-28350	15	15	-	-	ADJ
bracis-28350	15	16	label	label	ADJ
bracis-28350	15	17	classification	classification	NOUN
bracis-28350	15	18	is	be	AUX
bracis-28350	15	19	the	the	DET
bracis-28350	15	20	task	task	NOUN
bracis-28350	15	21	of	of	ADP
bracis-28350	15	22	simultaneously	simultaneously	ADV
bracis-28350	15	23	assigning	assign	VERB
bracis-28350	15	24	multiple	multiple	ADJ
bracis-28350	15	25	labels	label	NOUN
bracis-28350	15	26	to	to	ADP
bracis-28350	15	27	an	an	DET
bracis-28350	15	28	instance	instance	NOUN
bracis-28350	15	29	.	.	PUNCT
bracis-28350	16	1	thus	thus	ADV
bracis-28350	16	2	,	,	PUNCT
bracis-28350	16	3	a	a	DET
bracis-28350	16	4	classifier	classifier	NOUN
bracis-28350	16	5	must	must	AUX
bracis-28350	16	6	be	be	AUX
bracis-28350	16	7	induced	induce	VERB
bracis-28350	16	8	to	to	PART
bracis-28350	16	9	predict	predict	VERB
bracis-28350	16	10	a	a	DET
bracis-28350	16	11	set	set	NOUN
bracis-28350	16	12	of	of	ADP
bracis-28350	16	13	labels	label	NOUN
bracis-28350	16	14	for	for	ADP
bracis-28350	16	15	new	new	ADJ
bracis-28350	16	16	instances	instance	NOUN
bracis-28350	16	17	.	.	PUNCT
bracis-28350	17	1	as	as	ADP
bracis-28350	17	2	real	real	ADJ
bracis-28350	17	3	-	-	PUNCT
bracis-28350	17	4	world	world	NOUN
bracis-28350	17	5	applications	application	NOUN
bracis-28350	17	6	,	,	PUNCT
bracis-28350	17	7	we	we	PRON
bracis-28350	17	8	can	can	AUX
bracis-28350	17	9	mention	mention	VERB
bracis-28350	17	10	recognition	recognition	NOUN
bracis-28350	17	11	of	of	ADP
bracis-28350	17	12	sensor	sensor	NOUN
bracis-28350	17	13	activities	activity	NOUN
bracis-28350	17	14	 	 	SPACE
bracis-28350	18	1	[	[	X
bracis-28350	18	2	13	13	NUM
bracis-28350	18	3	]	]	PUNCT
bracis-28350	18	4	,	,	PUNCT
bracis-28350	18	5	protein	protein	NOUN
bracis-28350	18	6	function	function	NOUN
bracis-28350	18	7	prediction	prediction	NOUN
bracis-28350	18	8	 	 	SPACE
bracis-28350	19	1	[	[	X
bracis-28350	19	2	39	39	NUM
bracis-28350	19	3	]	]	PUNCT
bracis-28350	19	4	,	,	PUNCT
bracis-28350	19	5	and	and	CCONJ
bracis-28350	19	6	drug	drug	NOUN
bracis-28350	19	7	-	-	PUNCT
bracis-28350	19	8	target	target	NOUN
bracis-28350	19	9	interactions	interaction	NOUN
bracis-28350	19	10	 	 	SPACE
bracis-28350	20	1	[	[	X
bracis-28350	20	2	20	20	NUM
bracis-28350	20	3	]	]	PUNCT
bracis-28350	20	4	.	.	PUNCT
bracis-28350	21	1	a	a	DET
bracis-28350	21	2	multi	multi	ADJ
bracis-28350	21	3	-	-	ADJ
bracis-28350	21	4	label	label	ADJ
bracis-28350	21	5	problem	problem	NOUN
bracis-28350	21	6	can	can	AUX
bracis-28350	21	7	be	be	AUX
bracis-28350	21	8	solved	solve	VERB
bracis-28350	21	9	mainly	mainly	ADV
bracis-28350	21	10	through	through	ADP
bracis-28350	21	11	local	local	ADJ
bracis-28350	21	12	and	and	CCONJ
bracis-28350	21	13	global	global	ADJ
bracis-28350	21	14	approaches	approach	NOUN
bracis-28350	21	15	.	.	PUNCT
bracis-28350	22	1	the	the	DET
bracis-28350	22	2	local	local	ADJ
bracis-28350	22	3	approach	approach	NOUN
bracis-28350	22	4	divides	divide	VERB
bracis-28350	22	5	the	the	DET
bracis-28350	22	6	original	original	ADJ
bracis-28350	22	7	multi	multi	ADJ
bracis-28350	22	8	-	-	ADJ
bracis-28350	22	9	label	label	ADJ
bracis-28350	22	10	dataset	dataset	NOUN
bracis-28350	22	11	into	into	ADP
bracis-28350	22	12	many	many	ADJ
bracis-28350	22	13	binary	binary	ADJ
bracis-28350	22	14	ones	one	NOUN
bracis-28350	22	15	,	,	PUNCT
bracis-28350	22	16	so	so	SCONJ
bracis-28350	22	17	labels	label	NOUN
bracis-28350	22	18	are	be	AUX
bracis-28350	22	19	learned	learn	VERB
bracis-28350	22	20	individually	individually	ADV
bracis-28350	22	21	.	.	PUNCT
bracis-28350	23	1	one	one	NUM
bracis-28350	23	2	classifier	classifier	NOUN
bracis-28350	23	3	per	per	ADP
bracis-28350	23	4	label	label	NOUN
bracis-28350	23	5	is	be	AUX
bracis-28350	23	6	trained	train	VERB
bracis-28350	23	7	,	,	PUNCT
bracis-28350	23	8	and	and	CCONJ
bracis-28350	23	9	the	the	DET
bracis-28350	23	10	individual	individual	ADJ
bracis-28350	23	11	predictions	prediction	NOUN
bracis-28350	23	12	are	be	AUX
bracis-28350	23	13	gathered	gather	VERB
bracis-28350	23	14	for	for	ADP
bracis-28350	23	15	the	the	DET
bracis-28350	23	16	final	final	ADJ
bracis-28350	23	17	evaluation	evaluation	NOUN
bracis-28350	23	18	.	.	PUNCT
bracis-28350	24	1	any	any	DET
bracis-28350	24	2	classification	classification	NOUN
bracis-28350	24	3	algorithm	algorithm	NOUN
bracis-28350	24	4	can	can	AUX
bracis-28350	24	5	be	be	AUX
bracis-28350	24	6	used	use	VERB
bracis-28350	24	7	,	,	PUNCT
bracis-28350	24	8	and	and	CCONJ
bracis-28350	24	9	traditional	traditional	ADJ
bracis-28350	24	10	methods	method	NOUN
bracis-28350	24	11	are	be	AUX
bracis-28350	24	12	binary	binary	ADJ
bracis-28350	24	13	relevance	relevance	NOUN
bracis-28350	24	14	 	 	SPACE
bracis-28350	25	1	[	[	X
bracis-28350	25	2	25	25	NUM
bracis-28350	25	3	,	,	PUNCT
bracis-28350	25	4	36	36	NUM
bracis-28350	25	5	]	]	PUNCT
bracis-28350	25	6	and	and	CCONJ
bracis-28350	25	7	classifier	classifier	NOUN
bracis-28350	25	8	chains	chain	NOUN
bracis-28350	25	9	 	 	SPACE
bracis-28350	26	1	[	[	X
bracis-28350	26	2	23	23	NUM
bracis-28350	26	3	]	]	PUNCT
bracis-28350	26	4	.	.	PUNCT
bracis-28350	27	1	the	the	DET
bracis-28350	27	2	global	global	ADJ
bracis-28350	27	3	approach	approach	NOUN
bracis-28350	27	4	creates	create	VERB
bracis-28350	27	5	new	new	ADJ
bracis-28350	27	6	methods	method	NOUN
bracis-28350	27	7	or	or	CCONJ
bracis-28350	27	8	modifies	modify	VERB
bracis-28350	27	9	existing	exist	VERB
bracis-28350	27	10	ones	one	NOUN
bracis-28350	27	11	to	to	PART
bracis-28350	27	12	deal	deal	VERB
bracis-28350	27	13	with	with	ADP
bracis-28350	27	14	all	all	DET
bracis-28350	27	15	classes	class	NOUN
bracis-28350	27	16	of	of	ADP
bracis-28350	27	17	the	the	DET
bracis-28350	27	18	problem	problem	NOUN
bracis-28350	27	19	at	at	ADP
bracis-28350	27	20	the	the	DET
bracis-28350	27	21	same	same	ADJ
bracis-28350	27	22	time	time	NOUN
bracis-28350	27	23	.	.	PUNCT
bracis-28350	28	1	therefore	therefore	ADV
bracis-28350	28	2	,	,	PUNCT
bracis-28350	28	3	only	only	ADV
bracis-28350	28	4	one	one	NUM
bracis-28350	28	5	multi	multi	ADJ
bracis-28350	28	6	-	-	ADJ
bracis-28350	28	7	label	label	ADJ
bracis-28350	28	8	classifier	classifier	NOUN
bracis-28350	28	9	is	be	AUX
bracis-28350	28	10	trained	train	VERB
bracis-28350	28	11	and	and	CCONJ
bracis-28350	28	12	is	be	AUX
bracis-28350	28	13	responsible	responsible	ADJ
bracis-28350	28	14	for	for	ADP
bracis-28350	28	15	predicting	predict	VERB
bracis-28350	28	16	all	all	DET
bracis-28350	28	17	labels	label	NOUN
bracis-28350	28	18	of	of	ADP
bracis-28350	28	19	an	an	DET
bracis-28350	28	20	instance	instance	NOUN
bracis-28350	28	21	.	.	PUNCT
bracis-28350	29	1	traditional	traditional	ADJ
bracis-28350	29	2	methods	method	NOUN
bracis-28350	29	3	in	in	ADP
bracis-28350	29	4	this	this	DET
bracis-28350	29	5	approach	approach	NOUN
bracis-28350	29	6	include	include	VERB
bracis-28350	29	7	back	back	ADJ
bracis-28350	29	8	propagation	propagation	NOUN
bracis-28350	29	9	multi	multi	ADJ
bracis-28350	29	10	-	-	ADJ
bracis-28350	29	11	label	label	ADJ
bracis-28350	29	12	learning	learning	NOUN
bracis-28350	29	13	(	(	PUNCT
bracis-28350	29	14	bpmll	bpmll	NOUN
bracis-28350	29	15	)	)	PUNCT
bracis-28350	29	16	 	 	SPACE
bracis-28350	30	1	[	[	X
bracis-28350	30	2	37	37	NUM
bracis-28350	30	3	]	]	PUNCT
bracis-28350	30	4	and	and	CCONJ
bracis-28350	30	5	multi	multi	ADJ
bracis-28350	30	6	-	-	ADJ
bracis-28350	30	7	label	label	ADJ
bracis-28350	30	8	k	k	NOUN
bracis-28350	30	9	-	-	PUNCT
bracis-28350	30	10	nearest	near	ADJ
bracis-28350	30	11	neighbors	neighbor	NOUN
bracis-28350	30	12	(	(	PUNCT
bracis-28350	30	13	mlknn	mlknn	ADJ
bracis-28350	30	14	)	)	PUNCT
bracis-28350	30	15	 	 	SPACE
bracis-28350	31	1	[	[	X
bracis-28350	31	2	38	38	NUM
bracis-28350	31	3	]	]	PUNCT
bracis-28350	31	4	.	.	PUNCT
bracis-28350	32	1	among	among	ADP
bracis-28350	32	2	the	the	DET
bracis-28350	32	3	challenges	challenge	NOUN
bracis-28350	32	4	of	of	ADP
bracis-28350	32	5	multi	multi	ADJ
bracis-28350	32	6	-	-	ADJ
bracis-28350	32	7	label	label	ADJ
bracis-28350	32	8	classification	classification	NOUN
bracis-28350	32	9	,	,	PUNCT
bracis-28350	32	10	we	we	PRON
bracis-28350	32	11	can	can	AUX
bracis-28350	32	12	highlight	highlight	VERB
bracis-28350	32	13	class	class	NOUN
bracis-28350	32	14	imbalance	imbalance	NOUN
bracis-28350	32	15	 	 	SPACE
bracis-28350	33	1	[	[	X
bracis-28350	33	2	33	33	NUM
bracis-28350	33	3	]	]	PUNCT
bracis-28350	33	4	,	,	PUNCT
bracis-28350	33	5	high	high	ADJ
bracis-28350	33	6	dimensionality	dimensionality	NOUN
bracis-28350	33	7	 	 	SPACE
bracis-28350	34	1	[	[	X
bracis-28350	34	2	3	3	NUM
bracis-28350	34	3	]	]	PUNCT
bracis-28350	34	4	,	,	PUNCT
bracis-28350	34	5	and	and	CCONJ
bracis-28350	34	6	label	label	NOUN
bracis-28350	34	7	correlations	correlation	NOUN
bracis-28350	34	8	 	 	SPACE
bracis-28350	35	1	[	[	X
bracis-28350	35	2	4	4	NUM
bracis-28350	35	3	]	]	PUNCT
bracis-28350	35	4	.	.	PUNCT
bracis-28350	36	1	learning	learn	VERB
bracis-28350	36	2	label	label	NOUN
bracis-28350	36	3	correlations	correlation	NOUN
bracis-28350	36	4	can	can	AUX
bracis-28350	36	5	help	help	VERB
bracis-28350	36	6	to	to	PART
bracis-28350	36	7	predict	predict	VERB
bracis-28350	36	8	labels	label	NOUN
bracis-28350	36	9	that	that	PRON
bracis-28350	36	10	would	would	AUX
bracis-28350	36	11	probably	probably	ADV
bracis-28350	36	12	not	not	PART
bracis-28350	36	13	be	be	AUX
bracis-28350	36	14	predicted	predict	VERB
bracis-28350	36	15	using	use	VERB
bracis-28350	36	16	traditional	traditional	ADJ
bracis-28350	36	17	methods	method	NOUN
bracis-28350	36	18	.	.	PUNCT
bracis-28350	37	1	works	work	NOUN
bracis-28350	37	2	in	in	ADP
bracis-28350	37	3	the	the	DET
bracis-28350	37	4	literature	literature	NOUN
bracis-28350	37	5	have	have	AUX
bracis-28350	37	6	shown	show	VERB
bracis-28350	37	7	that	that	SCONJ
bracis-28350	37	8	modeling	model	VERB
bracis-28350	37	9	label	label	NOUN
bracis-28350	37	10	correlations	correlation	NOUN
bracis-28350	37	11	is	be	AUX
bracis-28350	37	12	an	an	DET
bracis-28350	37	13	important	important	ADJ
bracis-28350	37	14	aspect	aspect	NOUN
bracis-28350	37	15	of	of	ADP
bracis-28350	37	16	multi	multi	ADJ
bracis-28350	37	17	-	-	ADJ
bracis-28350	37	18	label	label	ADJ
bracis-28350	37	19	classification	classification	NOUN
bracis-28350	37	20	and	and	CCONJ
bracis-28350	37	21	can	can	AUX
bracis-28350	37	22	help	help	VERB
bracis-28350	37	23	to	to	PART
bracis-28350	37	24	build	build	VERB
bracis-28350	37	25	better	well	ADJ
bracis-28350	37	26	classification	classification	NOUN
bracis-28350	37	27	models	model	NOUN
bracis-28350	37	28	 	 	SPACE
bracis-28350	38	1	[	[	X
bracis-28350	38	2	12	12	NUM
bracis-28350	38	3	,	,	PUNCT
bracis-28350	38	4	19	19	NUM
bracis-28350	38	5	]	]	PUNCT
bracis-28350	38	6	.	.	PUNCT
bracis-28350	39	1	the	the	DET
bracis-28350	39	2	literature	literature	NOUN
bracis-28350	39	3	presents	present	VERB
bracis-28350	39	4	different	different	ADJ
bracis-28350	39	5	strategies	strategy	NOUN
bracis-28350	39	6	to	to	PART
bracis-28350	39	7	model	model	VERB
bracis-28350	39	8	label	label	NOUN
bracis-28350	39	9	correlations	correlation	NOUN
bracis-28350	39	10	,	,	PUNCT
bracis-28350	39	11	and	and	CCONJ
bracis-28350	39	12	community	community	NOUN
bracis-28350	39	13	detection	detection	NOUN
bracis-28350	39	14	methods	method	NOUN
bracis-28350	39	15	are	be	AUX
bracis-28350	39	16	one	one	NUM
bracis-28350	39	17	of	of	ADP
bracis-28350	39	18	them	they	PRON
bracis-28350	39	19	 	 	SPACE
bracis-28350	40	1	[	[	X
bracis-28350	40	2	7	7	X
bracis-28350	40	3	]	]	X
bracis-28350	40	4	[	[	X
bracis-28350	40	5	32	32	NUM
bracis-28350	40	6	]	]	PUNCT
bracis-28350	40	7	.	.	PUNCT
bracis-28350	41	1	the	the	DET
bracis-28350	41	2	motivation	motivation	NOUN
bracis-28350	41	3	to	to	PART
bracis-28350	41	4	use	use	VERB
bracis-28350	41	5	them	they	PRON
bracis-28350	41	6	is	be	AUX
bracis-28350	41	7	that	that	SCONJ
bracis-28350	41	8	the	the	DET
bracis-28350	41	9	network	network	NOUN
bracis-28350	41	10	topology	topology	NOUN
bracis-28350	41	11	can	can	AUX
bracis-28350	41	12	encode	encode	VERB
bracis-28350	41	13	interactions	interaction	NOUN
bracis-28350	41	14	of	of	ADP
bracis-28350	41	15	the	the	DET
bracis-28350	41	16	data	datum	NOUN
bracis-28350	41	17	systematically	systematically	ADV
bracis-28350	41	18	and	and	CCONJ
bracis-28350	41	19	find	find	VERB
bracis-28350	41	20	relationships	relationship	NOUN
bracis-28350	41	21	between	between	ADP
bracis-28350	41	22	them	they	PRON
bracis-28350	41	23	 	 	SPACE
bracis-28350	42	1	[	[	X
bracis-28350	42	2	17	17	NUM
bracis-28350	42	3	,	,	PUNCT
bracis-28350	42	4	31	31	NUM
bracis-28350	42	5	]	]	PUNCT
bracis-28350	42	6	.	.	PUNCT
bracis-28350	43	1	community	community	NOUN
bracis-28350	43	2	detection	detection	NOUN
bracis-28350	43	3	methods	method	NOUN
bracis-28350	43	4	are	be	AUX
bracis-28350	43	5	also	also	ADV
bracis-28350	43	6	graph	graph	VERB
bracis-28350	43	7	partitioning	partitioning	ADJ
bracis-28350	43	8	algorithms	algorithm	NOUN
bracis-28350	43	9	:	:	PUNCT
bracis-28350	43	10	they	they	PRON
bracis-28350	43	11	divide	divide	VERB
bracis-28350	43	12	vertices	vertex	NOUN
bracis-28350	43	13	into	into	ADP
bracis-28350	43	14	clusters	cluster	NOUN
bracis-28350	43	15	to	to	PART
bracis-28350	43	16	minimize	minimize	VERB
bracis-28350	43	17	the	the	DET
bracis-28350	43	18	number	number	NOUN
bracis-28350	43	19	of	of	ADP
bracis-28350	43	20	edges	edge	NOUN
bracis-28350	43	21	between	between	ADP
bracis-28350	43	22	them	they	PRON
bracis-28350	43	23	.	.	PUNCT
bracis-28350	44	1	roughly	roughly	ADV
bracis-28350	44	2	speaking	speak	VERB
bracis-28350	44	3	,	,	PUNCT
bracis-28350	44	4	a	a	DET
bracis-28350	44	5	community	community	NOUN
bracis-28350	44	6	(	(	PUNCT
bracis-28350	44	7	cluster	cluster	NOUN
bracis-28350	44	8	)	)	PUNCT
bracis-28350	44	9	is	be	AUX
bracis-28350	44	10	a	a	DET
bracis-28350	44	11	set	set	NOUN
bracis-28350	44	12	of	of	ADP
bracis-28350	44	13	vertices	vertex	NOUN
bracis-28350	44	14	with	with	ADP
bracis-28350	44	15	many	many	ADJ
bracis-28350	44	16	edges	edge	NOUN
bracis-28350	44	17	inside	inside	ADV
bracis-28350	44	18	and	and	CCONJ
bracis-28350	44	19	a	a	DET
bracis-28350	44	20	few	few	ADJ
bracis-28350	44	21	edges	edge	NOUN
bracis-28350	44	22	outside	outside	ADP
bracis-28350	44	23	the	the	DET
bracis-28350	44	24	community	community	NOUN
bracis-28350	44	25	,	,	PUNCT
bracis-28350	44	26	a	a	DET
bracis-28350	44	27	desired	desire	VERB
bracis-28350	44	28	characteristic	characteristic	NOUN
bracis-28350	44	29	for	for	ADP
bracis-28350	44	30	this	this	DET
bracis-28350	44	31	study	study	NOUN
bracis-28350	44	32	 	 	SPACE
bracis-28350	45	1	[	[	X
bracis-28350	45	2	31	31	NUM
bracis-28350	45	3	]	]	PUNCT
bracis-28350	45	4	.	.	PUNCT
bracis-28350	46	1	in	in	ADP
bracis-28350	46	2	multi	multi	ADJ
bracis-28350	46	3	-	-	ADJ
bracis-28350	46	4	label	label	ADJ
bracis-28350	46	5	problems	problem	NOUN
bracis-28350	46	6	,	,	PUNCT
bracis-28350	46	7	labels	label	NOUN
bracis-28350	46	8	can	can	AUX
bracis-28350	46	9	be	be	AUX
bracis-28350	46	10	considered	consider	VERB
bracis-28350	46	11	vertices	vertex	NOUN
bracis-28350	46	12	and	and	CCONJ
bracis-28350	46	13	the	the	DET
bracis-28350	46	14	correlations	correlation	NOUN
bracis-28350	46	15	between	between	ADP
bracis-28350	46	16	them	they	PRON
bracis-28350	46	17	,	,	PUNCT
bracis-28350	46	18	the	the	DET
bracis-28350	46	19	edges	edge	NOUN
bracis-28350	46	20	.	.	PUNCT
bracis-28350	47	1	hence	hence	ADV
bracis-28350	47	2	,	,	PUNCT
bracis-28350	47	3	we	we	PRON
bracis-28350	47	4	can	can	AUX
bracis-28350	47	5	build	build	VERB
bracis-28350	47	6	a	a	DET
bracis-28350	47	7	graph	graph	NOUN
bracis-28350	47	8	of	of	ADP
bracis-28350	47	9	correlated	correlate	VERB
bracis-28350	47	10	labels	label	NOUN
bracis-28350	47	11	,	,	PUNCT
bracis-28350	47	12	which	which	PRON
bracis-28350	47	13	can	can	AUX
bracis-28350	47	14	then	then	ADV
bracis-28350	47	15	be	be	AUX
bracis-28350	47	16	partitioned	partition	VERB
bracis-28350	47	17	to	to	PART
bracis-28350	47	18	find	find	VERB
bracis-28350	47	19	label	label	NOUN
bracis-28350	47	20	communities	community	NOUN
bracis-28350	47	21	.	.	PUNCT
bracis-28350	48	1	in	in	ADP
bracis-28350	48	2	this	this	DET
bracis-28350	48	3	paper	paper	NOUN
bracis-28350	48	4	,	,	PUNCT
bracis-28350	48	5	we	we	PRON
bracis-28350	48	6	verify	verify	VERB
bracis-28350	48	7	if	if	SCONJ
bracis-28350	48	8	the	the	DET
bracis-28350	48	9	performance	performance	NOUN
bracis-28350	48	10	of	of	ADP
bracis-28350	48	11	a	a	DET
bracis-28350	48	12	classifier	classifier	NOUN
bracis-28350	48	13	can	can	AUX
bracis-28350	48	14	be	be	AUX
bracis-28350	48	15	improved	improve	VERB
bracis-28350	48	16	,	,	PUNCT
bracis-28350	48	17	and	and	CCONJ
bracis-28350	48	18	if	if	SCONJ
bracis-28350	48	19	it	it	PRON
bracis-28350	48	20	can	can	AUX
bracis-28350	48	21	better	well	ADV
bracis-28350	48	22	learn	learn	VERB
bracis-28350	48	23	label	label	NOUN
bracis-28350	48	24	correlations	correlation	NOUN
bracis-28350	48	25	,	,	PUNCT
bracis-28350	48	26	using	use	VERB
bracis-28350	48	27	a	a	DET
bracis-28350	48	28	different	different	ADJ
bracis-28350	48	29	approach	approach	NOUN
bracis-28350	48	30	from	from	ADP
bracis-28350	48	31	the	the	DET
bracis-28350	48	32	conventional	conventional	ADJ
bracis-28350	48	33	global	global	ADJ
bracis-28350	48	34	and	and	CCONJ
bracis-28350	48	35	local	local	ADJ
bracis-28350	48	36	ones	one	NOUN
bracis-28350	48	37	.	.	PUNCT
bracis-28350	49	1	we	we	PRON
bracis-28350	49	2	propose	propose	VERB
bracis-28350	49	3	an	an	DET
bracis-28350	49	4	approach	approach	NOUN
bracis-28350	49	5	that	that	PRON
bracis-28350	49	6	generates	generate	VERB
bracis-28350	49	7	and	and	CCONJ
bracis-28350	49	8	validates	validate	VERB
bracis-28350	49	9	several	several	ADJ
bracis-28350	49	10	partitions	partition	NOUN
bracis-28350	49	11	from	from	ADP
bracis-28350	49	12	the	the	DET
bracis-28350	49	13	label	label	NOUN
bracis-28350	49	14	space	space	NOUN
bracis-28350	49	15	which	which	PRON
bracis-28350	49	16	explores	explore	VERB
bracis-28350	49	17	the	the	DET
bracis-28350	49	18	label	label	NOUN
bracis-28350	49	19	correlations	correlation	NOUN
bracis-28350	49	20	and	and	CCONJ
bracis-28350	49	21	chooses	choose	VERB
bracis-28350	49	22	the	the	DET
bracis-28350	49	23	best	good	ADJ
bracis-28350	49	24	one	one	NUM
bracis-28350	49	25	.	.	PUNCT
bracis-28350	50	1	such	such	ADJ
bracis-28350	50	2	partitions	partition	NOUN
bracis-28350	50	3	are	be	AUX
bracis-28350	50	4	composed	compose	VERB
bracis-28350	50	5	of	of	ADP
bracis-28350	50	6	disjoint	disjoint	NOUN
bracis-28350	50	7	correlated	correlate	VERB
bracis-28350	50	8	label	label	NOUN
bracis-28350	50	9	clusters	cluster	NOUN
bracis-28350	50	10	and	and	CCONJ
bracis-28350	50	11	are	be	AUX
bracis-28350	50	12	called	call	VERB
bracis-28350	50	13	hybrid	hybrid	ADJ
bracis-28350	50	14	partitions	partition	NOUN
bracis-28350	50	15	.	.	PUNCT
bracis-28350	51	1	figure	figure	VERB
bracis-28350	51	2	 	 	SPACE
bracis-28350	51	3	1	1	NUM
bracis-28350	51	4	presents	present	VERB
bracis-28350	51	5	our	our	PRON
bracis-28350	51	6	idea	idea	NOUN
bracis-28350	51	7	of	of	ADP
bracis-28350	51	8	multi	multi	ADJ
bracis-28350	51	9	-	-	ADJ
bracis-28350	51	10	label	label	ADJ
bracis-28350	51	11	partitions	partition	NOUN
bracis-28350	51	12	,	,	PUNCT
bracis-28350	51	13	where	where	SCONJ
bracis-28350	51	14	squares	square	NOUN
bracis-28350	51	15	are	be	AUX
bracis-28350	51	16	the	the	DET
bracis-28350	51	17	partitions	partition	NOUN
bracis-28350	51	18	,	,	PUNCT
bracis-28350	51	19	circles	circle	NOUN
bracis-28350	51	20	are	be	AUX
bracis-28350	51	21	label	label	NOUN
bracis-28350	51	22	clusters	cluster	NOUN
bracis-28350	51	23	,	,	PUNCT
bracis-28350	51	24	and	and	CCONJ
bracis-28350	51	25	diamonds	diamond	NOUN
bracis-28350	51	26	are	be	AUX
bracis-28350	51	27	labels	label	NOUN
bracis-28350	51	28	.	.	PUNCT
bracis-28350	52	1	figure	figure	NOUN
bracis-28350	52	2	 	 	SPACE
bracis-28350	52	3	1a	1a	PROPN
bracis-28350	52	4	shows	show	VERB
bracis-28350	52	5	a	a	DET
bracis-28350	52	6	global	global	ADJ
bracis-28350	52	7	partition	partition	NOUN
bracis-28350	52	8	(	(	PUNCT
bracis-28350	52	9	global	global	ADJ
bracis-28350	52	10	approach	approach	NOUN
bracis-28350	52	11	)	)	PUNCT
bracis-28350	52	12	composed	compose	VERB
bracis-28350	52	13	of	of	ADP
bracis-28350	52	14	only	only	ADV
bracis-28350	52	15	one	one	NUM
bracis-28350	52	16	cluster	cluster	NOUN
bracis-28350	52	17	with	with	ADP
bracis-28350	52	18	all	all	DET
bracis-28350	52	19	labels	label	NOUN
bracis-28350	52	20	.	.	PUNCT
bracis-28350	53	1	we	we	PRON
bracis-28350	53	2	induce	induce	VERB
bracis-28350	53	3	one	one	NUM
bracis-28350	53	4	global	global	ADJ
bracis-28350	53	5	classifier	classifier	NOUN
bracis-28350	53	6	for	for	ADP
bracis-28350	53	7	global	global	ADJ
bracis-28350	53	8	partitions	partition	NOUN
bracis-28350	53	9	,	,	PUNCT
bracis-28350	53	10	and	and	CCONJ
bracis-28350	53	11	this	this	DET
bracis-28350	53	12	classifier	classifier	NOUN
bracis-28350	53	13	simultaneously	simultaneously	ADV
bracis-28350	53	14	learns	learn	VERB
bracis-28350	53	15	and	and	CCONJ
bracis-28350	53	16	outputs	output	NOUN
bracis-28350	53	17	predictions	prediction	NOUN
bracis-28350	53	18	for	for	ADP
bracis-28350	53	19	all	all	DET
bracis-28350	53	20	labels	label	NOUN
bracis-28350	53	21	.	.	PUNCT
bracis-28350	54	1	figure	figure	NOUN
bracis-28350	54	2	 	 	SPACE
bracis-28350	54	3	1b	1b	PROPN
bracis-28350	54	4	shows	show	VERB
bracis-28350	54	5	a	a	DET
bracis-28350	54	6	local	local	ADJ
bracis-28350	54	7	partition	partition	NOUN
bracis-28350	54	8	(	(	PUNCT
bracis-28350	54	9	local	local	ADJ
bracis-28350	54	10	approach	approach	NOUN
bracis-28350	54	11	)	)	PUNCT
bracis-28350	54	12	composed	compose	VERB
bracis-28350	54	13	of	of	ADP
bracis-28350	54	14	one	one	NUM
bracis-28350	54	15	cluster	cluster	NOUN
bracis-28350	54	16	for	for	ADP
bracis-28350	54	17	each	each	DET
bracis-28350	54	18	label	label	NOUN
bracis-28350	54	19	.	.	PUNCT
bracis-28350	55	1	one	one	NUM
bracis-28350	55	2	local	local	ADJ
bracis-28350	55	3	classifier	classifier	NOUN
bracis-28350	55	4	per	per	ADP
bracis-28350	55	5	cluster	cluster	NOUN
bracis-28350	55	6	is	be	AUX
bracis-28350	55	7	induced	induce	VERB
bracis-28350	55	8	in	in	ADP
bracis-28350	55	9	local	local	ADJ
bracis-28350	55	10	partitions	partition	NOUN
bracis-28350	55	11	,	,	PUNCT
bracis-28350	55	12	also	also	ADV
bracis-28350	55	13	with	with	ADP
bracis-28350	55	14	train	train	NOUN
bracis-28350	55	15	and	and	CCONJ
bracis-28350	55	16	test	test	NOUN
bracis-28350	55	17	sets	set	NOUN
bracis-28350	55	18	,	,	PUNCT
bracis-28350	55	19	and	and	CCONJ
bracis-28350	55	20	then	then	ADV
bracis-28350	55	21	we	we	PRON
bracis-28350	55	22	gather	gather	VERB
bracis-28350	55	23	those	those	DET
bracis-28350	55	24	predictions	prediction	NOUN
bracis-28350	55	25	to	to	PART
bracis-28350	55	26	make	make	VERB
bracis-28350	55	27	the	the	DET
bracis-28350	55	28	final	final	ADJ
bracis-28350	55	29	evaluation	evaluation	NOUN
bracis-28350	55	30	for	for	ADP
bracis-28350	55	31	the	the	DET
bracis-28350	55	32	dataset	dataset	NOUN
bracis-28350	55	33	.	.	PUNCT
bracis-28350	56	1	finally	finally	ADV
bracis-28350	56	2	,	,	PUNCT
bracis-28350	56	3	fig	fig	NOUN
bracis-28350	56	4	.	.	PUNCT
bracis-28350	56	5	 	 	SPACE
bracis-28350	57	1	1c	1c	NOUN
bracis-28350	57	2	shows	show	VERB
bracis-28350	57	3	an	an	DET
bracis-28350	57	4	example	example	NOUN
bracis-28350	57	5	of	of	ADP
bracis-28350	57	6	a	a	DET
bracis-28350	57	7	hybrid	hybrid	ADJ
bracis-28350	57	8	partition	partition	NOUN
bracis-28350	57	9	,	,	PUNCT
bracis-28350	57	10	where	where	SCONJ
bracis-28350	57	11	correlated	correlate	VERB
bracis-28350	57	12	labels	label	NOUN
bracis-28350	57	13	are	be	AUX
bracis-28350	57	14	clustered	cluster	VERB
bracis-28350	57	15	.	.	PUNCT
bracis-28350	58	1	we	we	PRON
bracis-28350	58	2	need	need	VERB
bracis-28350	58	3	to	to	PART
bracis-28350	58	4	induce	induce	VERB
bracis-28350	58	5	a	a	DET
bracis-28350	58	6	global	global	ADV
bracis-28350	58	7	-	-	PUNCT
bracis-28350	58	8	based	base	VERB
bracis-28350	58	9	classifier	classifier	NOUN
bracis-28350	58	10	for	for	ADP
bracis-28350	58	11	clusters	cluster	NOUN
bracis-28350	58	12	with	with	ADP
bracis-28350	58	13	more	more	ADJ
bracis-28350	58	14	than	than	ADP
bracis-28350	58	15	one	one	NUM
bracis-28350	58	16	label	label	NOUN
bracis-28350	58	17	,	,	PUNCT
bracis-28350	58	18	in	in	ADP
bracis-28350	58	19	order	order	NOUN
bracis-28350	58	20	to	to	PART
bracis-28350	58	21	learn	learn	VERB
bracis-28350	58	22	correlations	correlation	NOUN
bracis-28350	58	23	between	between	ADP
bracis-28350	58	24	those	those	DET
bracis-28350	58	25	labels	label	NOUN
bracis-28350	58	26	.	.	PUNCT
bracis-28350	59	1	in	in	ADP
bracis-28350	59	2	contrast	contrast	NOUN
bracis-28350	59	3	,	,	PUNCT
bracis-28350	59	4	we	we	PRON
bracis-28350	59	5	induce	induce	VERB
bracis-28350	59	6	a	a	DET
bracis-28350	59	7	local	local	ADJ
bracis-28350	59	8	-	-	PUNCT
bracis-28350	59	9	based	base	VERB
bracis-28350	59	10	classifier	classifier	NOUN
bracis-28350	59	11	for	for	ADP
bracis-28350	59	12	clusters	cluster	NOUN
bracis-28350	59	13	with	with	ADP
bracis-28350	59	14	a	a	DET
bracis-28350	59	15	single	single	ADJ
bracis-28350	59	16	label	label	NOUN
bracis-28350	59	17	.	.	PUNCT
bracis-28350	60	1	the	the	DET
bracis-28350	60	2	final	final	ADJ
bracis-28350	60	3	prediction	prediction	NOUN
bracis-28350	60	4	is	be	AUX
bracis-28350	60	5	then	then	ADV
bracis-28350	60	6	obtained	obtain	VERB
bracis-28350	60	7	combining	combine	VERB
bracis-28350	60	8	the	the	DET
bracis-28350	60	9	predictions	prediction	NOUN
bracis-28350	60	10	performed	perform	VERB
bracis-28350	60	11	by	by	ADP
bracis-28350	60	12	all	all	DET
bracis-28350	60	13	global	global	ADJ
bracis-28350	60	14	and	and	CCONJ
bracis-28350	60	15	local	local	ADJ
bracis-28350	60	16	-	-	PUNCT
bracis-28350	60	17	based	base	VERB
bracis-28350	60	18	classifiers	classifier	NOUN
bracis-28350	60	19	.	.	PUNCT
bracis-28350	61	1	fig	fig	NOUN
bracis-28350	61	2	.	.	PUNCT
bracis-28350	62	1	1	1	X
bracis-28350	62	2	.	.	X
bracis-28350	62	3	illustration	illustration	NOUN
bracis-28350	62	4	of	of	ADP
bracis-28350	62	5	the	the	DET
bracis-28350	62	6	global	global	ADJ
bracis-28350	62	7	,	,	PUNCT
bracis-28350	62	8	local	local	ADJ
bracis-28350	62	9	and	and	CCONJ
bracis-28350	62	10	hybrid	hybrid	ADJ
bracis-28350	62	11	partitions	partition	NOUN
bracis-28350	62	12	.	.	PUNCT
bracis-28350	63	1	full	full	ADJ
bracis-28350	63	2	size	size	NOUN
bracis-28350	63	3	image	image	NOUN
bracis-28350	63	4	to	to	PART
bracis-28350	63	5	get	get	VERB
bracis-28350	63	6	consistent	consistent	ADJ
bracis-28350	63	7	and	and	CCONJ
bracis-28350	63	8	coherent	coherent	ADJ
bracis-28350	63	9	results	result	NOUN
bracis-28350	63	10	,	,	PUNCT
bracis-28350	63	11	we	we	PRON
bracis-28350	63	12	must	must	AUX
bracis-28350	63	13	use	use	VERB
bracis-28350	63	14	the	the	DET
bracis-28350	63	15	same	same	ADJ
bracis-28350	63	16	classifier	classifier	NOUN
bracis-28350	63	17	in	in	ADP
bracis-28350	63	18	all	all	DET
bracis-28350	63	19	clusters	cluster	NOUN
bracis-28350	63	20	;	;	PUNCT
bracis-28350	63	21	otherwise	otherwise	ADV
bracis-28350	63	22	,	,	PUNCT
bracis-28350	63	23	we	we	PRON
bracis-28350	63	24	can	can	AUX
bracis-28350	63	25	not	not	PART
bracis-28350	63	26	observe	observe	VERB
bracis-28350	63	27	how	how	SCONJ
bracis-28350	63	28	much	much	ADJ
bracis-28350	63	29	the	the	DET
bracis-28350	63	30	classifier	classifier	NOUN
bracis-28350	63	31	learned	learn	VERB
bracis-28350	63	32	.	.	PUNCT
bracis-28350	64	1	therefore	therefore	ADV
bracis-28350	64	2	,	,	PUNCT
bracis-28350	64	3	we	we	PRON
bracis-28350	64	4	emphasize	emphasize	VERB
bracis-28350	64	5	that	that	SCONJ
bracis-28350	64	6	using	use	VERB
bracis-28350	64	7	a	a	DET
bracis-28350	64	8	multi	multi	ADJ
bracis-28350	64	9	-	-	ADJ
bracis-28350	64	10	label	label	ADJ
bracis-28350	64	11	classifier	classifier	NOUN
bracis-28350	64	12	with	with	ADP
bracis-28350	64	13	local	local	ADJ
bracis-28350	64	14	and	and	CCONJ
bracis-28350	64	15	global	global	ADJ
bracis-28350	64	16	versions	version	NOUN
bracis-28350	64	17	is	be	AUX
bracis-28350	64	18	necessary	necessary	ADJ
bracis-28350	64	19	for	for	ADP
bracis-28350	64	20	our	our	PRON
bracis-28350	64	21	strategy	strategy	NOUN
bracis-28350	64	22	since	since	SCONJ
bracis-28350	64	23	we	we	PRON
bracis-28350	64	24	want	want	VERB
bracis-28350	64	25	to	to	PART
bracis-28350	64	26	compare	compare	VERB
bracis-28350	64	27	the	the	DET
bracis-28350	64	28	improvements	improvement	NOUN
bracis-28350	64	29	from	from	ADP
bracis-28350	64	30	hybrid	hybrid	ADJ
bracis-28350	64	31	partitions	partition	NOUN
bracis-28350	64	32	in	in	ADP
bracis-28350	64	33	relation	relation	NOUN
bracis-28350	64	34	to	to	ADP
bracis-28350	64	35	local	local	ADJ
bracis-28350	64	36	,	,	PUNCT
bracis-28350	64	37	global	global	ADJ
bracis-28350	64	38	,	,	PUNCT
bracis-28350	64	39	and	and	CCONJ
bracis-28350	64	40	even	even	ADV
bracis-28350	64	41	random	random	ADJ
bracis-28350	64	42	generated	generate	VERB
bracis-28350	64	43	partitions	partition	NOUN
bracis-28350	64	44	.	.	PUNCT
bracis-28350	65	1	therefore	therefore	ADV
bracis-28350	65	2	,	,	PUNCT
bracis-28350	65	3	the	the	DET
bracis-28350	65	4	same	same	ADJ
bracis-28350	65	5	classifier	classifier	NOUN
bracis-28350	65	6	must	must	AUX
bracis-28350	65	7	be	be	AUX
bracis-28350	65	8	used	use	VERB
bracis-28350	65	9	in	in	ADP
bracis-28350	65	10	all	all	DET
bracis-28350	65	11	partitions	partition	NOUN
bracis-28350	65	12	.	.	PUNCT
bracis-28350	66	1	as	as	ADP
bracis-28350	66	2	an	an	DET
bracis-28350	66	3	example	example	NOUN
bracis-28350	66	4	,	,	PUNCT
bracis-28350	66	5	it	it	PRON
bracis-28350	66	6	does	do	AUX
bracis-28350	66	7	not	not	PART
bracis-28350	66	8	make	make	VERB
bracis-28350	66	9	sense	sense	NOUN
bracis-28350	66	10	to	to	PART
bracis-28350	66	11	use	use	VERB
bracis-28350	66	12	a	a	DET
bracis-28350	66	13	global	global	ADV
bracis-28350	66	14	-	-	PUNCT
bracis-28350	66	15	based	base	VERB
bracis-28350	66	16	classifier	classifier	NOUN
bracis-28350	66	17	such	such	ADJ
bracis-28350	66	18	as	as	ADP
bracis-28350	66	19	ml	ml	NOUN
bracis-28350	66	20	-	-	PUNCT
bracis-28350	66	21	c4.5	c4.5	NOUN
bracis-28350	66	22	 	 	SPACE
bracis-28350	66	23	[	[	X
bracis-28350	66	24	8	8	NUM
bracis-28350	66	25	]	]	PUNCT
bracis-28350	66	26	since	since	SCONJ
bracis-28350	66	27	it	it	PRON
bracis-28350	66	28	can	can	AUX
bracis-28350	66	29	not	not	PART
bracis-28350	66	30	handle	handle	VERB
bracis-28350	66	31	clusters	cluster	NOUN
bracis-28350	66	32	containing	contain	VERB
bracis-28350	66	33	a	a	DET
bracis-28350	66	34	single	single	ADJ
bracis-28350	66	35	label	label	NOUN
bracis-28350	66	36	.	.	PUNCT
bracis-28350	67	1	in	in	ADP
bracis-28350	67	2	our	our	PRON
bracis-28350	67	3	strategy	strategy	NOUN
bracis-28350	67	4	,	,	PUNCT
bracis-28350	67	5	using	use	VERB
bracis-28350	67	6	binary	binary	ADJ
bracis-28350	67	7	relevance	relevance	NOUN
bracis-28350	67	8	in	in	ADP
bracis-28350	67	9	clusters	cluster	NOUN
bracis-28350	67	10	with	with	ADP
bracis-28350	67	11	more	more	ADJ
bracis-28350	67	12	than	than	ADP
bracis-28350	67	13	one	one	NUM
bracis-28350	67	14	label	label	NOUN
bracis-28350	67	15	is	be	AUX
bracis-28350	67	16	not	not	PART
bracis-28350	67	17	possible	possible	ADJ
bracis-28350	67	18	,	,	PUNCT
bracis-28350	67	19	as	as	SCONJ
bracis-28350	67	20	we	we	PRON
bracis-28350	67	21	would	would	AUX
bracis-28350	67	22	be	be	AUX
bracis-28350	67	23	re	re	VERB
bracis-28350	67	24	-	-	VERB
bracis-28350	67	25	dividing	divide	VERB
bracis-28350	67	26	the	the	DET
bracis-28350	67	27	problem	problem	NOUN
bracis-28350	67	28	and	and	CCONJ
bracis-28350	67	29	learning	learn	VERB
bracis-28350	67	30	separate	separate	ADJ
bracis-28350	67	31	labels	label	NOUN
bracis-28350	67	32	when	when	SCONJ
bracis-28350	67	33	we	we	PRON
bracis-28350	67	34	want	want	VERB
bracis-28350	67	35	to	to	PART
bracis-28350	67	36	learn	learn	VERB
bracis-28350	67	37	the	the	DET
bracis-28350	67	38	clustered	clustered	ADJ
bracis-28350	67	39	labels	label	NOUN
bracis-28350	67	40	.	.	PUNCT
bracis-28350	68	1	accordingly	accordingly	ADV
bracis-28350	68	2	,	,	PUNCT
bracis-28350	68	3	the	the	DET
bracis-28350	68	4	classifier	classifier	NOUN
bracis-28350	68	5	used	use	VERB
bracis-28350	68	6	in	in	ADP
bracis-28350	68	7	our	our	PRON
bracis-28350	68	8	strategy	strategy	NOUN
bracis-28350	68	9	has	have	VERB
bracis-28350	68	10	to	to	PART
bracis-28350	68	11	deal	deal	VERB
bracis-28350	68	12	with	with	ADP
bracis-28350	68	13	all	all	DET
bracis-28350	68	14	types	type	NOUN
bracis-28350	68	15	of	of	ADP
bracis-28350	68	16	partitions	partition	NOUN
bracis-28350	68	17	.	.	PUNCT
bracis-28350	69	1	for	for	ADP
bracis-28350	69	2	this	this	DET
bracis-28350	69	3	reason	reason	NOUN
bracis-28350	69	4	,	,	PUNCT
bracis-28350	69	5	here	here	ADV
bracis-28350	69	6	we	we	PRON
bracis-28350	69	7	used	use	VERB
bracis-28350	69	8	the	the	DET
bracis-28350	69	9	clus	clus	ADJ
bracis-28350	69	10	framework	framework	NOUN
bracis-28350	69	11	 	 	SPACE
bracis-28350	70	1	[	[	X
bracis-28350	70	2	34	34	NUM
bracis-28350	70	3	]	]	PUNCT
bracis-28350	70	4	,	,	PUNCT
bracis-28350	70	5	which	which	PRON
bracis-28350	70	6	induces	induce	VERB
bracis-28350	70	7	binary	binary	ADJ
bracis-28350	70	8	and	and	CCONJ
bracis-28350	70	9	multi	multi	ADJ
bracis-28350	70	10	-	-	ADJ
bracis-28350	70	11	label	label	ADJ
bracis-28350	70	12	decision	decision	NOUN
bracis-28350	70	13	trees	tree	NOUN
bracis-28350	70	14	based	base	VERB
bracis-28350	70	15	on	on	ADP
bracis-28350	70	16	predictive	predictive	ADJ
bracis-28350	70	17	clustering	cluster	VERB
bracis-28350	70	18	trees	tree	NOUN
bracis-28350	70	19	(	(	PUNCT
bracis-28350	70	20	pct	pct	NOUN
bracis-28350	70	21	)	)	PUNCT
bracis-28350	70	22	,	,	PUNCT
bracis-28350	70	23	and	and	CCONJ
bracis-28350	70	24	is	be	AUX
bracis-28350	70	25	considered	consider	VERB
bracis-28350	70	26	to	to	PART
bracis-28350	70	27	be	be	AUX
bracis-28350	70	28	one	one	NUM
bracis-28350	70	29	of	of	ADP
bracis-28350	70	30	the	the	DET
bracis-28350	70	31	state	state	NOUN
bracis-28350	70	32	-	-	PUNCT
bracis-28350	70	33	of	of	ADP
bracis-28350	70	34	-	-	PUNCT
bracis-28350	70	35	the	the	DET
bracis-28350	70	36	-	-	PUNCT
bracis-28350	70	37	art	art	NOUN
bracis-28350	70	38	methods	method	NOUN
bracis-28350	70	39	in	in	ADP
bracis-28350	70	40	the	the	DET
bracis-28350	70	41	literature	literature	NOUN
bracis-28350	70	42	.	.	PUNCT
bracis-28350	71	1	we	we	PRON
bracis-28350	71	2	train	train	VERB
bracis-28350	71	3	a	a	DET
bracis-28350	71	4	binary	binary	ADJ
bracis-28350	71	5	pct	pct	NOUN
bracis-28350	71	6	for	for	ADP
bracis-28350	71	7	each	each	DET
bracis-28350	71	8	label	label	NOUN
bracis-28350	71	9	and	and	CCONJ
bracis-28350	71	10	combine	combine	VERB
bracis-28350	71	11	their	their	PRON
bracis-28350	71	12	outputs	output	NOUN
bracis-28350	71	13	to	to	PART
bracis-28350	71	14	form	form	VERB
bracis-28350	71	15	the	the	DET
bracis-28350	71	16	final	final	ADJ
bracis-28350	71	17	multi	multi	ADJ
bracis-28350	71	18	-	-	ADJ
bracis-28350	71	19	label	label	ADJ
bracis-28350	71	20	prediction	prediction	NOUN
bracis-28350	71	21	for	for	ADP
bracis-28350	71	22	the	the	DET
bracis-28350	71	23	local	local	ADJ
bracis-28350	71	24	partition	partition	NOUN
bracis-28350	71	25	.	.	PUNCT
bracis-28350	72	1	for	for	ADP
bracis-28350	72	2	the	the	DET
bracis-28350	72	3	global	global	ADJ
bracis-28350	72	4	partition	partition	NOUN
bracis-28350	72	5	,	,	PUNCT
bracis-28350	72	6	only	only	ADV
bracis-28350	72	7	one	one	NUM
bracis-28350	72	8	multi	multi	ADJ
bracis-28350	72	9	-	-	ADJ
bracis-28350	72	10	label	label	ADJ
bracis-28350	72	11	pct	pct	NOUN
bracis-28350	72	12	is	be	AUX
bracis-28350	72	13	necessary	necessary	ADJ
bracis-28350	72	14	.	.	PUNCT
bracis-28350	73	1	to	to	PART
bracis-28350	73	2	test	test	VERB
bracis-28350	73	3	our	our	PRON
bracis-28350	73	4	hybrid	hybrid	NOUN
bracis-28350	73	5	partitions	partition	NOUN
bracis-28350	73	6	,	,	PUNCT
bracis-28350	73	7	a	a	DET
bracis-28350	73	8	set	set	NOUN
bracis-28350	73	9	of	of	ADP
bracis-28350	73	10	multi	multi	ADJ
bracis-28350	73	11	-	-	ADJ
bracis-28350	73	12	label	label	ADJ
bracis-28350	73	13	pcts	pct	NOUN
bracis-28350	73	14	,	,	PUNCT
bracis-28350	73	15	or	or	CCONJ
bracis-28350	73	16	a	a	DET
bracis-28350	73	17	combination	combination	NOUN
bracis-28350	73	18	of	of	ADP
bracis-28350	73	19	binary	binary	ADJ
bracis-28350	73	20	and	and	CCONJ
bracis-28350	73	21	multi	multi	ADJ
bracis-28350	73	22	-	-	ADJ
bracis-28350	73	23	label	label	ADJ
bracis-28350	73	24	pcts	pct	NOUN
bracis-28350	73	25	,	,	PUNCT
bracis-28350	73	26	can	can	AUX
bracis-28350	73	27	be	be	AUX
bracis-28350	73	28	applied	apply	VERB
bracis-28350	73	29	,	,	PUNCT
bracis-28350	73	30	depending	depend	VERB
bracis-28350	73	31	on	on	ADP
bracis-28350	73	32	how	how	SCONJ
bracis-28350	73	33	many	many	ADJ
bracis-28350	73	34	labels	label	NOUN
bracis-28350	73	35	are	be	AUX
bracis-28350	73	36	in	in	ADP
bracis-28350	73	37	the	the	DET
bracis-28350	73	38	partition	partition	NOUN
bracis-28350	73	39	clusters	cluster	NOUN
bracis-28350	73	40	.	.	PUNCT
bracis-28350	74	1	the	the	DET
bracis-28350	74	2	individual	individual	ADJ
bracis-28350	74	3	outputs	output	NOUN
bracis-28350	74	4	are	be	AUX
bracis-28350	74	5	then	then	ADV
bracis-28350	74	6	combined	combine	VERB
bracis-28350	74	7	to	to	PART
bracis-28350	74	8	form	form	VERB
bracis-28350	74	9	the	the	DET
bracis-28350	74	10	final	final	ADJ
bracis-28350	74	11	multi	multi	ADJ
bracis-28350	74	12	-	-	ADJ
bracis-28350	74	13	label	label	ADJ
bracis-28350	74	14	prediction	prediction	NOUN
bracis-28350	74	15	.	.	PUNCT
bracis-28350	75	1	as	as	SCONJ
bracis-28350	75	2	already	already	ADV
bracis-28350	75	3	pointed	point	VERB
bracis-28350	75	4	out	out	ADP
bracis-28350	75	5	by	by	ADP
bracis-28350	75	6	basgalupp	basgalupp	PROPN
bracis-28350	75	7	et	et	PROPN
bracis-28350	75	8	al	al	PROPN
bracis-28350	75	9	.	.	PUNCT
bracis-28350	75	10	 	 	SPACE
bracis-28350	76	1	[	[	X
bracis-28350	76	2	1	1	NUM
bracis-28350	76	3	]	]	PUNCT
bracis-28350	76	4	,	,	PUNCT
bracis-28350	76	5	finding	find	VERB
bracis-28350	76	6	a	a	DET
bracis-28350	76	7	suitable	suitable	ADJ
bracis-28350	76	8	partition	partition	NOUN
bracis-28350	76	9	in	in	ADP
bracis-28350	76	10	a	a	DET
bracis-28350	76	11	set	set	NOUN
bracis-28350	76	12	with	with	ADP
bracis-28350	76	13	n	n	ADP
bracis-28350	76	14	labels	label	NOUN
bracis-28350	76	15	is	be	AUX
bracis-28350	76	16	a	a	DET
bracis-28350	76	17	hard	hard	ADJ
bracis-28350	76	18	task	task	NOUN
bracis-28350	76	19	,	,	PUNCT
bracis-28350	76	20	whose	whose	DET
bracis-28350	76	21	difficulty	difficulty	NOUN
bracis-28350	76	22	increases	increase	VERB
bracis-28350	76	23	with	with	ADP
bracis-28350	76	24	the	the	DET
bracis-28350	76	25	number	number	NOUN
bracis-28350	76	26	of	of	ADP
bracis-28350	76	27	labels	label	NOUN
bracis-28350	76	28	.	.	PUNCT
bracis-28350	77	1	considering	consider	VERB
bracis-28350	77	2	a	a	DET
bracis-28350	77	3	set	set	NOUN
bracis-28350	77	4	with	with	ADP
bracis-28350	77	5	n	n	DET
bracis-28350	77	6	labels	label	NOUN
bracis-28350	77	7	,	,	PUNCT
bracis-28350	77	8	the	the	DET
bracis-28350	77	9	number	number	NOUN
bracis-28350	77	10	of	of	ADP
bracis-28350	77	11	possible	possible	ADJ
bracis-28350	77	12	partitions	partition	NOUN
bracis-28350	77	13	consisting	consist	VERB
bracis-28350	77	14	of	of	ADP
bracis-28350	77	15	k	k	X
bracis-28350	77	16	separate	separate	ADJ
bracis-28350	77	17	and	and	CCONJ
bracis-28350	77	18	non	non	ADJ
bracis-28350	77	19	-	-	ADJ
bracis-28350	77	20	empty	empty	ADJ
bracis-28350	77	21	subsets	subset	NOUN
bracis-28350	77	22	is	be	AUX
bracis-28350	77	23	given	give	VERB
bracis-28350	77	24	by	by	ADP
bracis-28350	77	25	\(\sum	\(\sum	NOUN
bracis-28350	78	1	_	_	PRON
bracis-28350	78	2	{	{	PUNCT
bracis-28350	78	3	k=0}^{n	k=0}^{n	ADJ
bracis-28350	78	4	}	}	PUNCT
bracis-28350	78	5	\left\	\left\	PROPN
bracis-28350	78	6	{	{	PUNCT
bracis-28350	78	7	n	n	CCONJ
bracis-28350	78	8	\atop	\atop	ADP
bracis-28350	78	9	k\right\	k\right\	PROPN
bracis-28350	78	10	}	}	PUNCT
bracis-28350	78	11	\	\	NOUN
bracis-28350	78	12	)	)	PUNCT
bracis-28350	79	1	[	[	X
bracis-28350	79	2	16	16	NUM
bracis-28350	79	3	]	]	PUNCT
bracis-28350	79	4	.	.	PUNCT
bracis-28350	80	1	thus	thus	ADV
bracis-28350	80	2	,	,	PUNCT
bracis-28350	80	3	the	the	DET
bracis-28350	80	4	number	number	NOUN
bracis-28350	80	5	of	of	ADP
bracis-28350	80	6	possible	possible	ADJ
bracis-28350	80	7	partitions	partition	NOUN
bracis-28350	80	8	drastically	drastically	ADV
bracis-28350	80	9	increases	increase	VERB
bracis-28350	80	10	with	with	ADP
bracis-28350	80	11	the	the	DET
bracis-28350	80	12	number	number	NOUN
bracis-28350	80	13	of	of	ADP
bracis-28350	80	14	labels	label	NOUN
bracis-28350	80	15	.	.	PUNCT
bracis-28350	81	1	as	as	ADP
bracis-28350	81	2	an	an	DET
bracis-28350	81	3	example	example	NOUN
bracis-28350	81	4	,	,	PUNCT
bracis-28350	81	5	with	with	ADP
bracis-28350	81	6	\(n=12\	\(n=12\	NOUN
bracis-28350	81	7	)	)	PUNCT
bracis-28350	81	8	labels	label	NOUN
bracis-28350	81	9	,	,	PUNCT
bracis-28350	81	10	44.213.597	44.213.597	NUM
bracis-28350	81	11	partitions	partition	NOUN
bracis-28350	81	12	can	can	AUX
bracis-28350	81	13	be	be	AUX
bracis-28350	81	14	generated	generate	VERB
bracis-28350	81	15	.	.	PUNCT
bracis-28350	82	1	our	our	PRON
bracis-28350	82	2	experiments	experiment	NOUN
bracis-28350	82	3	were	be	AUX
bracis-28350	82	4	conducted	conduct	VERB
bracis-28350	82	5	using	use	VERB
bracis-28350	82	6	20	20	NUM
bracis-28350	82	7	benchmark	benchmark	ADJ
bracis-28350	82	8	multi	multi	ADJ
bracis-28350	82	9	-	-	ADJ
bracis-28350	82	10	label	label	ADJ
bracis-28350	82	11	datasets	dataset	NOUN
bracis-28350	82	12	from	from	ADP
bracis-28350	82	13	five	five	NUM
bracis-28350	82	14	application	application	NOUN
bracis-28350	82	15	domains	domain	NOUN
bracis-28350	82	16	with	with	ADP
bracis-28350	82	17	different	different	ADJ
bracis-28350	82	18	characteristics	characteristic	NOUN
bracis-28350	82	19	.	.	PUNCT
bracis-28350	83	1	first	first	ADV
bracis-28350	83	2	,	,	PUNCT
bracis-28350	83	3	we	we	PRON
bracis-28350	83	4	used	use	VERB
bracis-28350	83	5	jaccard	jaccard	ADJ
bracis-28350	83	6	index	index	NOUN
bracis-28350	83	7	and	and	CCONJ
bracis-28350	83	8	rogers	rogers	PROPN
bracis-28350	83	9	-	-	PUNCT
bracis-28350	83	10	tanimoto	tanimoto	NOUN
bracis-28350	83	11	similarity	similarity	NOUN
bracis-28350	83	12	measures	measure	NOUN
bracis-28350	83	13	to	to	PART
bracis-28350	83	14	model	model	VERB
bracis-28350	83	15	the	the	DET
bracis-28350	83	16	label	label	NOUN
bracis-28350	83	17	correlations	correlation	NOUN
bracis-28350	83	18	,	,	PUNCT
bracis-28350	83	19	which	which	PRON
bracis-28350	83	20	are	be	AUX
bracis-28350	83	21	used	use	VERB
bracis-28350	83	22	to	to	PART
bracis-28350	83	23	build	build	VERB
bracis-28350	83	24	the	the	DET
bracis-28350	83	25	label	label	NOUN
bracis-28350	83	26	co	co	ADJ
bracis-28350	83	27	-	-	NOUN
bracis-28350	83	28	occurrence	occurrence	ADJ
bracis-28350	83	29	graphs	graph	NOUN
bracis-28350	83	30	.	.	PUNCT
bracis-28350	84	1	then	then	ADV
bracis-28350	84	2	,	,	PUNCT
bracis-28350	84	3	we	we	PRON
bracis-28350	84	4	applied	apply	VERB
bracis-28350	84	5	7	7	NUM
bracis-28350	84	6	community	community	NOUN
bracis-28350	84	7	detection	detection	NOUN
bracis-28350	84	8	methods	method	NOUN
bracis-28350	84	9	that	that	PRON
bracis-28350	84	10	partition	partition	VERB
bracis-28350	84	11	the	the	DET
bracis-28350	84	12	graphs	graph	NOUN
bracis-28350	84	13	and	and	CCONJ
bracis-28350	84	14	generate	generate	VERB
bracis-28350	84	15	several	several	ADJ
bracis-28350	84	16	hybrid	hybrid	ADJ
bracis-28350	84	17	partitions	partition	NOUN
bracis-28350	84	18	.	.	PUNCT
bracis-28350	85	1	next	next	ADV
bracis-28350	85	2	,	,	PUNCT
bracis-28350	85	3	those	those	DET
bracis-28350	85	4	hybrid	hybrid	ADJ
bracis-28350	85	5	partitions	partition	NOUN
bracis-28350	85	6	were	be	AUX
bracis-28350	85	7	validated	validate	VERB
bracis-28350	85	8	,	,	PUNCT
bracis-28350	85	9	and	and	CCONJ
bracis-28350	85	10	the	the	DET
bracis-28350	85	11	best	good	ADJ
bracis-28350	85	12	one	one	NUM
bracis-28350	85	13	tested	test	VERB
bracis-28350	85	14	.	.	PUNCT
bracis-28350	86	1	finally	finally	ADV
bracis-28350	86	2	,	,	PUNCT
bracis-28350	86	3	the	the	DET
bracis-28350	86	4	performance	performance	NOUN
bracis-28350	86	5	results	result	NOUN
bracis-28350	86	6	were	be	AUX
bracis-28350	86	7	compared	compare	VERB
bracis-28350	86	8	with	with	ADP
bracis-28350	86	9	the	the	DET
bracis-28350	86	10	global	global	ADJ
bracis-28350	86	11	,	,	PUNCT
bracis-28350	86	12	local	local	ADJ
bracis-28350	86	13	,	,	PUNCT
bracis-28350	86	14	and	and	CCONJ
bracis-28350	86	15	random	random	ADJ
bracis-28350	86	16	generated	generate	VERB
bracis-28350	86	17	partitions	partition	NOUN
bracis-28350	86	18	using	use	VERB
bracis-28350	86	19	the	the	DET
bracis-28350	86	20	same	same	ADJ
bracis-28350	86	21	base	base	NOUN
bracis-28350	86	22	classifier	classifier	NOUN
bracis-28350	86	23	.	.	PUNCT
bracis-28350	87	1	our	our	PRON
bracis-28350	87	2	results	result	NOUN
bracis-28350	87	3	showed	show	VERB
bracis-28350	87	4	that	that	SCONJ
bracis-28350	87	5	our	our	PRON
bracis-28350	87	6	approach	approach	NOUN
bracis-28350	87	7	could	could	AUX
bracis-28350	87	8	improve	improve	VERB
bracis-28350	87	9	the	the	DET
bracis-28350	87	10	classifier	classifier	NOUN
bracis-28350	87	11	’s	’s	PART
bracis-28350	87	12	prediction	prediction	NOUN
bracis-28350	87	13	,	,	PUNCT
bracis-28350	87	14	be	be	AUX
bracis-28350	87	15	competitive	competitive	ADJ
bracis-28350	87	16	with	with	ADP
bracis-28350	87	17	the	the	DET
bracis-28350	87	18	local	local	ADJ
bracis-28350	87	19	and	and	CCONJ
bracis-28350	87	20	random	random	ADJ
bracis-28350	87	21	generated	generate	VERB
bracis-28350	87	22	partitions	partition	NOUN
bracis-28350	87	23	,	,	PUNCT
bracis-28350	87	24	and	and	CCONJ
bracis-28350	87	25	outperform	outperform	VERB
bracis-28350	87	26	the	the	DET
bracis-28350	87	27	global	global	ADJ
bracis-28350	87	28	approach	approach	NOUN
bracis-28350	87	29	.	.	PUNCT
bracis-28350	88	1	however	however	ADV
bracis-28350	88	2	,	,	PUNCT
bracis-28350	88	3	the	the	DET
bracis-28350	88	4	results	result	NOUN
bracis-28350	88	5	also	also	ADV
bracis-28350	88	6	showed	show	VERB
bracis-28350	88	7	that	that	SCONJ
bracis-28350	88	8	independent	independent	NOUN
bracis-28350	88	9	of	of	ADP
bracis-28350	88	10	the	the	DET
bracis-28350	88	11	partitioning	partitioning	NOUN
bracis-28350	88	12	used	use	VERB
bracis-28350	88	13	,	,	PUNCT
bracis-28350	88	14	the	the	DET
bracis-28350	88	15	overall	overall	ADJ
bracis-28350	88	16	performance	performance	NOUN
bracis-28350	88	17	did	do	AUX
bracis-28350	88	18	not	not	PART
bracis-28350	88	19	improve	improve	VERB
bracis-28350	88	20	much	much	ADV
bracis-28350	88	21	,	,	PUNCT
bracis-28350	88	22	i.e.	i.e.	X
bracis-28350	88	23	,	,	PUNCT
bracis-28350	88	24	we	we	PRON
bracis-28350	88	25	noticed	notice	VERB
bracis-28350	88	26	that	that	SCONJ
bracis-28350	88	27	the	the	DET
bracis-28350	88	28	average	average	ADJ
bracis-28350	88	29	performance	performance	NOUN
bracis-28350	88	30	remained	remain	VERB
bracis-28350	88	31	competitive	competitive	ADJ
bracis-28350	88	32	for	for	ADP
bracis-28350	88	33	most	most	ADJ
bracis-28350	88	34	methods	method	NOUN
bracis-28350	88	35	and	and	CCONJ
bracis-28350	88	36	datasets	dataset	NOUN
bracis-28350	88	37	.	.	PUNCT
bracis-28350	89	1	thus	thus	ADV
bracis-28350	89	2	,	,	PUNCT
bracis-28350	89	3	the	the	DET
bracis-28350	89	4	valuable	valuable	ADJ
bracis-28350	89	5	insight	insight	NOUN
bracis-28350	89	6	we	we	PRON
bracis-28350	89	7	had	have	VERB
bracis-28350	89	8	with	with	ADP
bracis-28350	89	9	our	our	PRON
bracis-28350	89	10	results	result	NOUN
bracis-28350	89	11	is	be	AUX
bracis-28350	89	12	that	that	SCONJ
bracis-28350	89	13	the	the	DET
bracis-28350	89	14	multi	multi	ADJ
bracis-28350	89	15	-	-	ADJ
bracis-28350	89	16	label	label	ADJ
bracis-28350	89	17	classification	classification	NOUN
bracis-28350	89	18	methods	method	NOUN
bracis-28350	89	19	need	need	VERB
bracis-28350	89	20	to	to	PART
bracis-28350	89	21	improve	improve	VERB
bracis-28350	89	22	because	because	SCONJ
bracis-28350	89	23	regardless	regardless	ADV
bracis-28350	89	24	of	of	ADP
bracis-28350	89	25	the	the	DET
bracis-28350	89	26	partitioning	partitioning	NOUN
bracis-28350	89	27	used	use	VERB
bracis-28350	89	28	or	or	CCONJ
bracis-28350	89	29	if	if	SCONJ
bracis-28350	89	30	the	the	DET
bracis-28350	89	31	correlations	correlation	NOUN
bracis-28350	89	32	were	be	AUX
bracis-28350	89	33	(	(	PUNCT
bracis-28350	89	34	or	or	CCONJ
bracis-28350	89	35	not	not	PART
bracis-28350	89	36	)	)	PUNCT
bracis-28350	89	37	explored	explore	VERB
bracis-28350	89	38	,	,	PUNCT
bracis-28350	89	39	we	we	PRON
bracis-28350	89	40	can	can	AUX
bracis-28350	89	41	not	not	PART
bracis-28350	89	42	state	state	VERB
bracis-28350	89	43	with	with	ADP
bracis-28350	89	44	absolute	absolute	ADJ
bracis-28350	89	45	certainty	certainty	NOUN
bracis-28350	89	46	that	that	SCONJ
bracis-28350	89	47	they	they	PRON
bracis-28350	89	48	are	be	AUX
bracis-28350	89	49	correctly	correctly	ADV
bracis-28350	89	50	learning	learn	VERB
bracis-28350	89	51	the	the	DET
bracis-28350	89	52	labels	label	NOUN
bracis-28350	89	53	.	.	PUNCT
bracis-28350	90	1	the	the	DET
bracis-28350	90	2	remainder	remainder	NOUN
bracis-28350	90	3	of	of	ADP
bracis-28350	90	4	this	this	DET
bracis-28350	90	5	paper	paper	NOUN
bracis-28350	90	6	is	be	AUX
bracis-28350	90	7	organized	organize	VERB
bracis-28350	90	8	as	as	SCONJ
bracis-28350	90	9	follows	follow	VERB
bracis-28350	90	10	:	:	PUNCT
bracis-28350	90	11	sect	sect	NOUN
bracis-28350	90	12	.	.	PUNCT
bracis-28350	90	13	 	 	SPACE
bracis-28350	91	1	2	2	NUM
bracis-28350	91	2	presents	present	VERB
bracis-28350	91	3	some	some	DET
bracis-28350	91	4	related	related	ADJ
bracis-28350	91	5	studies	study	NOUN
bracis-28350	91	6	;	;	PUNCT
bracis-28350	91	7	sect	sect	NOUN
bracis-28350	91	8	.	.	PUNCT
bracis-28350	91	9	 	 	SPACE
bracis-28350	92	1	3	3	NUM
bracis-28350	92	2	presents	present	VERB
bracis-28350	92	3	our	our	PRON
bracis-28350	92	4	proposed	propose	VERB
bracis-28350	92	5	approach	approach	NOUN
bracis-28350	92	6	;	;	PUNCT
bracis-28350	92	7	sect	sect	NOUN
bracis-28350	92	8	.	.	PUNCT
bracis-28350	92	9	 	 	SPACE
bracis-28350	92	10	4	4	NUM
bracis-28350	92	11	explains	explain	VERB
bracis-28350	92	12	how	how	SCONJ
bracis-28350	92	13	we	we	PRON
bracis-28350	92	14	conducted	conduct	VERB
bracis-28350	92	15	our	our	PRON
bracis-28350	92	16	experiments	experiment	NOUN
bracis-28350	92	17	;	;	PUNCT
bracis-28350	92	18	sect	sect	NOUN
bracis-28350	92	19	.	.	PUNCT
bracis-28350	92	20	 	 	SPACE
bracis-28350	93	1	5	5	NUM
bracis-28350	93	2	presents	present	VERB
bracis-28350	93	3	and	and	CCONJ
bracis-28350	93	4	discusses	discuss	VERB
bracis-28350	93	5	our	our	PRON
bracis-28350	93	6	results	result	NOUN
bracis-28350	93	7	;	;	PUNCT
bracis-28350	93	8	and	and	CCONJ
bracis-28350	93	9	finally	finally	ADV
bracis-28350	93	10	,	,	PUNCT
bracis-28350	93	11	sect	sect	NOUN
bracis-28350	93	12	.	.	PUNCT
bracis-28350	93	13	 	 	SPACE
bracis-28350	94	1	6	6	NUM
bracis-28350	94	2	presents	present	VERB
bracis-28350	94	3	our	our	PRON
bracis-28350	94	4	conclusions	conclusion	NOUN
bracis-28350	94	5	and	and	CCONJ
bracis-28350	94	6	future	future	ADJ
bracis-28350	94	7	works	work	NOUN
bracis-28350	94	8	.	.	PUNCT
bracis-28350	95	1	2	2	NUM
bracis-28350	95	2	related	related	ADJ
bracis-28350	95	3	work	work	NOUN
bracis-28350	95	4	a	a	DET
bracis-28350	95	5	related	related	ADJ
bracis-28350	95	6	and	and	CCONJ
bracis-28350	95	7	similar	similar	ADJ
bracis-28350	95	8	study	study	NOUN
bracis-28350	95	9	was	be	AUX
bracis-28350	95	10	presented	present	VERB
bracis-28350	95	11	by	by	ADP
bracis-28350	95	12	melo	melo	PROPN
bracis-28350	95	13	and	and	CCONJ
bracis-28350	95	14	paulheim	paulheim	PROPN
bracis-28350	95	15	 	 	SPACE
bracis-28350	95	16	[	[	X
bracis-28350	95	17	15	15	NUM
bracis-28350	95	18	]	]	PUNCT
bracis-28350	95	19	.	.	PUNCT
bracis-28350	96	1	the	the	DET
bracis-28350	96	2	authors	author	NOUN
bracis-28350	96	3	used	use	VERB
bracis-28350	96	4	local	local	ADJ
bracis-28350	96	5	and	and	CCONJ
bracis-28350	96	6	global	global	ADJ
bracis-28350	96	7	feature	feature	NOUN
bracis-28350	96	8	selection	selection	NOUN
bracis-28350	96	9	approaches	approach	NOUN
bracis-28350	96	10	with	with	ADP
bracis-28350	96	11	binary	binary	ADJ
bracis-28350	96	12	relevance	relevance	NOUN
bracis-28350	96	13	to	to	PART
bracis-28350	96	14	compare	compare	VERB
bracis-28350	96	15	flat	flat	ADJ
bracis-28350	96	16	and	and	CCONJ
bracis-28350	96	17	hierarchical	hierarchical	ADJ
bracis-28350	96	18	problems	problem	NOUN
bracis-28350	96	19	.	.	PUNCT
bracis-28350	97	1	they	they	PRON
bracis-28350	97	2	showed	show	VERB
bracis-28350	97	3	that	that	SCONJ
bracis-28350	97	4	when	when	SCONJ
bracis-28350	97	5	using	use	VERB
bracis-28350	97	6	multi	multi	ADJ
bracis-28350	97	7	-	-	ADJ
bracis-28350	97	8	label	label	ADJ
bracis-28350	97	9	transformation	transformation	NOUN
bracis-28350	97	10	methods	method	NOUN
bracis-28350	97	11	,	,	PUNCT
bracis-28350	97	12	the	the	DET
bracis-28350	97	13	overall	overall	ADJ
bracis-28350	97	14	predictive	predictive	ADJ
bracis-28350	97	15	performance	performance	NOUN
bracis-28350	97	16	of	of	ADP
bracis-28350	97	17	the	the	DET
bracis-28350	97	18	local	local	ADJ
bracis-28350	97	19	feature	feature	NOUN
bracis-28350	97	20	selection	selection	NOUN
bracis-28350	97	21	approach	approach	NOUN
bracis-28350	97	22	was	be	AUX
bracis-28350	97	23	better	well	ADJ
bracis-28350	97	24	and	and	CCONJ
bracis-28350	97	25	superior	superior	ADJ
bracis-28350	97	26	to	to	ADP
bracis-28350	97	27	the	the	DET
bracis-28350	97	28	global	global	NOUN
bracis-28350	97	29	.	.	PUNCT
bracis-28350	98	1	however	however	ADV
bracis-28350	98	2	,	,	PUNCT
bracis-28350	98	3	the	the	DET
bracis-28350	98	4	authors	author	NOUN
bracis-28350	98	5	also	also	ADV
bracis-28350	98	6	elucidated	elucidate	VERB
bracis-28350	98	7	that	that	SCONJ
bracis-28350	98	8	,	,	PUNCT
bracis-28350	98	9	in	in	ADP
bracis-28350	98	10	some	some	DET
bracis-28350	98	11	cases	case	NOUN
bracis-28350	98	12	,	,	PUNCT
bracis-28350	98	13	the	the	DET
bracis-28350	98	14	results	result	NOUN
bracis-28350	98	15	of	of	ADP
bracis-28350	98	16	the	the	DET
bracis-28350	98	17	best	good	ADJ
bracis-28350	98	18	general	general	ADJ
bracis-28350	98	19	performance	performance	NOUN
bracis-28350	98	20	between	between	ADP
bracis-28350	98	21	adaptation	adaptation	NOUN
bracis-28350	98	22	or	or	CCONJ
bracis-28350	98	23	transformation	transformation	NOUN
bracis-28350	98	24	methods	method	NOUN
bracis-28350	98	25	are	be	AUX
bracis-28350	98	26	inconclusive	inconclusive	ADJ
bracis-28350	98	27	.	.	PUNCT
bracis-28350	99	1	although	although	SCONJ
bracis-28350	99	2	the	the	DET
bracis-28350	99	3	authors	author	NOUN
bracis-28350	99	4	used	use	VERB
bracis-28350	99	5	the	the	DET
bracis-28350	99	6	instance	instance	NOUN
bracis-28350	99	7	space	space	NOUN
bracis-28350	99	8	and	and	CCONJ
bracis-28350	99	9	feature	feature	NOUN
bracis-28350	99	10	selection	selection	NOUN
bracis-28350	99	11	,	,	PUNCT
bracis-28350	99	12	the	the	DET
bracis-28350	99	13	results	result	NOUN
bracis-28350	99	14	presented	present	VERB
bracis-28350	99	15	go	go	VERB
bracis-28350	99	16	in	in	ADP
bracis-28350	99	17	the	the	DET
bracis-28350	99	18	same	same	ADJ
bracis-28350	99	19	direction	direction	NOUN
bracis-28350	99	20	as	as	ADP
bracis-28350	99	21	our	our	PRON
bracis-28350	99	22	work	work	NOUN
bracis-28350	99	23	.	.	PUNCT
bracis-28350	100	1	rivolli	rivolli	NOUN
bracis-28350	100	2	et	et	PROPN
bracis-28350	100	3	al	al	PROPN
bracis-28350	100	4	.	.	PUNCT
bracis-28350	100	5	 	 	SPACE
bracis-28350	101	1	[	[	X
bracis-28350	101	2	25	25	NUM
bracis-28350	101	3	]	]	PUNCT
bracis-28350	101	4	presented	present	VERB
bracis-28350	101	5	a	a	DET
bracis-28350	101	6	hypothesis	hypothesis	NOUN
bracis-28350	101	7	that	that	PRON
bracis-28350	101	8	base	base	NOUN
bracis-28350	101	9	algorithms	algorithm	NOUN
bracis-28350	101	10	can	can	AUX
bracis-28350	101	11	have	have	VERB
bracis-28350	101	12	a	a	DET
bracis-28350	101	13	more	more	ADV
bracis-28350	101	14	substantial	substantial	ADJ
bracis-28350	101	15	influence	influence	NOUN
bracis-28350	101	16	than	than	ADP
bracis-28350	101	17	the	the	DET
bracis-28350	101	18	binary	binary	ADJ
bracis-28350	101	19	transformation	transformation	NOUN
bracis-28350	101	20	strategies	strategy	NOUN
bracis-28350	101	21	on	on	ADP
bracis-28350	101	22	the	the	DET
bracis-28350	101	23	predictive	predictive	ADJ
bracis-28350	101	24	performance	performance	NOUN
bracis-28350	101	25	of	of	ADP
bracis-28350	101	26	multi	multi	ADJ
bracis-28350	101	27	-	-	ADJ
bracis-28350	101	28	label	label	ADJ
bracis-28350	101	29	models	model	NOUN
bracis-28350	101	30	.	.	PUNCT
bracis-28350	102	1	the	the	DET
bracis-28350	102	2	authors	author	NOUN
bracis-28350	102	3	demonstrated	demonstrate	VERB
bracis-28350	102	4	that	that	SCONJ
bracis-28350	102	5	despite	despite	SCONJ
bracis-28350	102	6	the	the	DET
bracis-28350	102	7	performance	performance	NOUN
bracis-28350	102	8	improvements	improvement	NOUN
bracis-28350	102	9	,	,	PUNCT
bracis-28350	102	10	all	all	DET
bracis-28350	102	11	investigated	investigate	VERB
bracis-28350	102	12	strategies	strategy	NOUN
bracis-28350	102	13	and	and	CCONJ
bracis-28350	102	14	base	base	NOUN
bracis-28350	102	15	algorithms	algorithm	NOUN
bracis-28350	102	16	could	could	AUX
bracis-28350	102	17	not	not	PART
bracis-28350	102	18	predict	predict	VERB
bracis-28350	102	19	some	some	DET
bracis-28350	102	20	labels	label	NOUN
bracis-28350	102	21	or	or	CCONJ
bracis-28350	102	22	mispredict	mispredict	ADJ
bracis-28350	102	23	labels	label	NOUN
bracis-28350	102	24	for	for	ADP
bracis-28350	102	25	many	many	ADJ
bracis-28350	102	26	datasets	dataset	NOUN
bracis-28350	102	27	.	.	PUNCT
bracis-28350	103	1	therefore	therefore	ADV
bracis-28350	103	2	,	,	PUNCT
bracis-28350	103	3	the	the	DET
bracis-28350	103	4	conclusions	conclusion	NOUN
bracis-28350	103	5	are	be	AUX
bracis-28350	103	6	aligned	align	VERB
bracis-28350	103	7	with	with	ADP
bracis-28350	103	8	our	our	PRON
bracis-28350	103	9	study	study	NOUN
bracis-28350	103	10	.	.	PUNCT
bracis-28350	104	1	on	on	ADP
bracis-28350	104	2	the	the	DET
bracis-28350	104	3	problem	problem	NOUN
bracis-28350	104	4	of	of	ADP
bracis-28350	104	5	learning	learn	VERB
bracis-28350	104	6	label	label	NOUN
bracis-28350	104	7	correlations	correlation	NOUN
bracis-28350	104	8	,	,	PUNCT
bracis-28350	104	9	luaces	luace	NOUN
bracis-28350	104	10	et	et	NOUN
bracis-28350	104	11	al	al	PROPN
bracis-28350	104	12	.	.	PUNCT
bracis-28350	104	13	 	 	SPACE
bracis-28350	105	1	[	[	X
bracis-28350	105	2	14	14	NUM
bracis-28350	105	3	]	]	PUNCT
bracis-28350	105	4	demonstrated	demonstrate	VERB
bracis-28350	105	5	that	that	SCONJ
bracis-28350	105	6	the	the	DET
bracis-28350	105	7	level	level	NOUN
bracis-28350	105	8	of	of	ADP
bracis-28350	105	9	dependency	dependency	NOUN
bracis-28350	105	10	between	between	ADP
bracis-28350	105	11	labels	label	NOUN
bracis-28350	105	12	in	in	ADP
bracis-28350	105	13	benchmark	benchmark	ADJ
bracis-28350	105	14	datasets	dataset	NOUN
bracis-28350	105	15	is	be	AUX
bracis-28350	105	16	deficient	deficient	ADJ
bracis-28350	105	17	,	,	PUNCT
bracis-28350	105	18	so	so	SCONJ
bracis-28350	105	19	the	the	DET
bracis-28350	105	20	methods	method	NOUN
bracis-28350	105	21	can	can	AUX
bracis-28350	105	22	not	not	PART
bracis-28350	105	23	explore	explore	VERB
bracis-28350	105	24	the	the	DET
bracis-28350	105	25	correlations	correlation	NOUN
bracis-28350	105	26	.	.	PUNCT
bracis-28350	106	1	that	that	PRON
bracis-28350	106	2	was	be	AUX
bracis-28350	106	3	one	one	NUM
bracis-28350	106	4	of	of	ADP
bracis-28350	106	5	the	the	DET
bracis-28350	106	6	reasons	reason	NOUN
bracis-28350	106	7	that	that	PRON
bracis-28350	106	8	led	lead	VERB
bracis-28350	106	9	them	they	PRON
bracis-28350	106	10	to	to	PART
bracis-28350	106	11	build	build	VERB
bracis-28350	106	12	a	a	DET
bracis-28350	106	13	synthetic	synthetic	ADJ
bracis-28350	106	14	dataset	dataset	NOUN
bracis-28350	106	15	generator	generator	NOUN
bracis-28350	106	16	,	,	PUNCT
bracis-28350	106	17	combining	combine	VERB
bracis-28350	106	18	synthetic	synthetic	ADJ
bracis-28350	106	19	data	datum	NOUN
bracis-28350	106	20	with	with	ADP
bracis-28350	106	21	benchmark	benchmark	ADJ
bracis-28350	106	22	datasets	dataset	NOUN
bracis-28350	106	23	to	to	PART
bracis-28350	106	24	better	well	ADV
bracis-28350	106	25	analyze	analyze	VERB
bracis-28350	106	26	the	the	DET
bracis-28350	106	27	behavior	behavior	NOUN
bracis-28350	106	28	of	of	ADP
bracis-28350	106	29	multi	multi	ADJ
bracis-28350	106	30	-	-	ADJ
bracis-28350	106	31	label	label	ADJ
bracis-28350	106	32	classification	classification	NOUN
bracis-28350	106	33	methods	method	NOUN
bracis-28350	106	34	.	.	PUNCT
bracis-28350	107	1	they	they	PRON
bracis-28350	107	2	pointed	point	VERB
bracis-28350	107	3	out	out	ADP
bracis-28350	107	4	the	the	DET
bracis-28350	107	5	difficulty	difficulty	NOUN
bracis-28350	107	6	of	of	ADP
bracis-28350	107	7	extracting	extract	VERB
bracis-28350	107	8	useful	useful	ADJ
bracis-28350	107	9	conclusions	conclusion	NOUN
bracis-28350	107	10	using	use	VERB
bracis-28350	107	11	only	only	ADV
bracis-28350	107	12	benchmark	benchmark	ADJ
bracis-28350	107	13	datasets	dataset	NOUN
bracis-28350	107	14	.	.	PUNCT
bracis-28350	108	1	in	in	ADP
bracis-28350	108	2	gatto	gatto	PROPN
bracis-28350	108	3	et	et	PROPN
bracis-28350	108	4	al	al	PROPN
bracis-28350	108	5	.	.	PUNCT
bracis-28350	108	6	 	 	SPACE
bracis-28350	109	1	[	[	X
bracis-28350	109	2	12	12	NUM
bracis-28350	109	3	]	]	PUNCT
bracis-28350	109	4	,	,	PUNCT
bracis-28350	109	5	the	the	DET
bracis-28350	109	6	authors	author	NOUN
bracis-28350	109	7	modeled	model	VERB
bracis-28350	109	8	label	label	NOUN
bracis-28350	109	9	correlations	correlation	NOUN
bracis-28350	109	10	using	use	VERB
bracis-28350	109	11	the	the	DET
bracis-28350	109	12	jaccard	jaccard	ADJ
bracis-28350	109	13	index	index	NOUN
bracis-28350	109	14	and	and	CCONJ
bracis-28350	109	15	partitioned	partition	VERB
bracis-28350	109	16	the	the	DET
bracis-28350	109	17	label	label	NOUN
bracis-28350	109	18	space	space	NOUN
bracis-28350	109	19	using	use	VERB
bracis-28350	109	20	agglomerative	agglomerative	ADJ
bracis-28350	109	21	hierarchical	hierarchical	ADJ
bracis-28350	109	22	clustering	clustering	NOUN
bracis-28350	109	23	,	,	PUNCT
bracis-28350	109	24	which	which	PRON
bracis-28350	109	25	was	be	AUX
bracis-28350	109	26	able	able	ADJ
bracis-28350	109	27	to	to	PART
bracis-28350	109	28	find	find	VERB
bracis-28350	109	29	hybrid	hybrid	ADJ
bracis-28350	109	30	partitions	partition	NOUN
bracis-28350	109	31	.	.	PUNCT
bracis-28350	110	1	they	they	PRON
bracis-28350	110	2	used	use	VERB
bracis-28350	110	3	average	average	ADJ
bracis-28350	110	4	,	,	PUNCT
bracis-28350	110	5	complete	complete	ADJ
bracis-28350	110	6	,	,	PUNCT
bracis-28350	110	7	and	and	CCONJ
bracis-28350	110	8	single	single	ADJ
bracis-28350	110	9	linkage	linkage	NOUN
bracis-28350	110	10	as	as	ADP
bracis-28350	110	11	an	an	DET
bracis-28350	110	12	agglomerative	agglomerative	ADJ
bracis-28350	110	13	method	method	NOUN
bracis-28350	110	14	to	to	PART
bracis-28350	110	15	build	build	VERB
bracis-28350	110	16	dendrograms	dendrogram	NOUN
bracis-28350	110	17	and	and	CCONJ
bracis-28350	110	18	cut	cut	VERB
bracis-28350	110	19	them	they	PRON
bracis-28350	110	20	into	into	ADP
bracis-28350	110	21	levels	level	NOUN
bracis-28350	110	22	.	.	PUNCT
bracis-28350	111	1	different	different	ADJ
bracis-28350	111	2	hybrid	hybrid	ADJ
bracis-28350	111	3	partitions	partition	NOUN
bracis-28350	111	4	were	be	AUX
bracis-28350	111	5	generated	generate	VERB
bracis-28350	111	6	and	and	CCONJ
bracis-28350	111	7	validated	validate	VERB
bracis-28350	111	8	using	use	VERB
bracis-28350	111	9	the	the	DET
bracis-28350	111	10	clus	clus	ADJ
bracis-28350	111	11	framework	framework	NOUN
bracis-28350	111	12	,	,	PUNCT
bracis-28350	111	13	which	which	PRON
bracis-28350	111	14	can	can	AUX
bracis-28350	111	15	deal	deal	VERB
bracis-28350	111	16	with	with	ADP
bracis-28350	111	17	local	local	ADJ
bracis-28350	111	18	and	and	CCONJ
bracis-28350	111	19	global	global	ADJ
bracis-28350	111	20	partitions	partition	NOUN
bracis-28350	111	21	.	.	PUNCT
bracis-28350	112	1	the	the	DET
bracis-28350	112	2	highest	high	ADJ
bracis-28350	112	3	macro	macro	ADJ
bracis-28350	112	4	-	-	ADJ
bracis-28350	112	5	f1	f1	ADJ
bracis-28350	112	6	performance	performance	NOUN
bracis-28350	112	7	was	be	AUX
bracis-28350	112	8	used	use	VERB
bracis-28350	112	9	to	to	PART
bracis-28350	112	10	choose	choose	VERB
bracis-28350	112	11	the	the	DET
bracis-28350	112	12	more	more	ADV
bracis-28350	112	13	suitable	suitable	ADJ
bracis-28350	112	14	hybrid	hybrid	ADJ
bracis-28350	112	15	partition	partition	NOUN
bracis-28350	112	16	,	,	PUNCT
bracis-28350	112	17	compared	compare	VERB
bracis-28350	112	18	with	with	ADP
bracis-28350	112	19	local	local	ADJ
bracis-28350	112	20	,	,	PUNCT
bracis-28350	112	21	global	global	ADJ
bracis-28350	112	22	,	,	PUNCT
bracis-28350	112	23	and	and	CCONJ
bracis-28350	112	24	random	random	ADJ
bracis-28350	112	25	generated	generate	VERB
bracis-28350	112	26	partitions	partition	NOUN
bracis-28350	112	27	.	.	PUNCT
bracis-28350	113	1	the	the	DET
bracis-28350	113	2	authors	author	NOUN
bracis-28350	113	3	concluded	conclude	VERB
bracis-28350	113	4	that	that	SCONJ
bracis-28350	113	5	the	the	DET
bracis-28350	113	6	results	result	NOUN
bracis-28350	113	7	from	from	ADP
bracis-28350	113	8	hybrid	hybrid	ADJ
bracis-28350	113	9	partitions	partition	NOUN
bracis-28350	113	10	were	be	AUX
bracis-28350	113	11	competitive	competitive	ADJ
bracis-28350	113	12	,	,	PUNCT
bracis-28350	113	13	or	or	CCONJ
bracis-28350	113	14	better	well	ADJ
bracis-28350	113	15	in	in	ADP
bracis-28350	113	16	some	some	DET
bracis-28350	113	17	cases	case	NOUN
bracis-28350	113	18	,	,	PUNCT
bracis-28350	113	19	compared	compare	VERB
bracis-28350	113	20	to	to	ADP
bracis-28350	113	21	the	the	DET
bracis-28350	113	22	local	local	ADJ
bracis-28350	113	23	and	and	CCONJ
bracis-28350	113	24	global	global	ADJ
bracis-28350	113	25	approaches	approach	NOUN
bracis-28350	113	26	.	.	PUNCT
bracis-28350	114	1	similar	similar	ADJ
bracis-28350	114	2	to	to	ADP
bracis-28350	114	3	our	our	PRON
bracis-28350	114	4	work	work	NOUN
bracis-28350	114	5	,	,	PUNCT
bracis-28350	114	6	the	the	DET
bracis-28350	114	7	authors	author	NOUN
bracis-28350	114	8	,	,	PUNCT
bracis-28350	114	9	in	in	ADP
bracis-28350	114	10	the	the	DET
bracis-28350	114	11	same	same	ADJ
bracis-28350	114	12	direction	direction	NOUN
bracis-28350	114	13	as	as	ADP
bracis-28350	114	14	melo	melo	PROPN
bracis-28350	114	15	and	and	CCONJ
bracis-28350	114	16	paulheim	paulheim	PROPN
bracis-28350	114	17	 	 	SPACE
bracis-28350	115	1	[	[	X
bracis-28350	115	2	15	15	NUM
bracis-28350	115	3	]	]	PUNCT
bracis-28350	115	4	,	,	PUNCT
bracis-28350	115	5	observed	observe	VERB
bracis-28350	115	6	that	that	SCONJ
bracis-28350	115	7	the	the	DET
bracis-28350	115	8	local	local	ADJ
bracis-28350	115	9	approach	approach	NOUN
bracis-28350	115	10	was	be	AUX
bracis-28350	115	11	superior	superior	ADJ
bracis-28350	115	12	to	to	ADP
bracis-28350	115	13	the	the	DET
bracis-28350	115	14	global	global	ADJ
bracis-28350	115	15	one	one	NUM
bracis-28350	115	16	in	in	ADP
bracis-28350	115	17	most	most	ADJ
bracis-28350	115	18	cases	case	NOUN
bracis-28350	115	19	.	.	PUNCT
bracis-28350	116	1	also	also	ADV
bracis-28350	116	2	trying	try	VERB
bracis-28350	116	3	to	to	PART
bracis-28350	116	4	find	find	VERB
bracis-28350	116	5	partitions	partition	NOUN
bracis-28350	116	6	in	in	ADP
bracis-28350	116	7	-	-	PUNCT
bracis-28350	116	8	between	between	ADP
bracis-28350	116	9	the	the	DET
bracis-28350	116	10	global	global	ADJ
bracis-28350	116	11	and	and	CCONJ
bracis-28350	116	12	local	local	ADJ
bracis-28350	116	13	ones	one	NOUN
bracis-28350	116	14	,	,	PUNCT
bracis-28350	116	15	the	the	DET
bracis-28350	116	16	study	study	NOUN
bracis-28350	116	17	presented	present	VERB
bracis-28350	116	18	by	by	ADP
bracis-28350	116	19	basgalupp	basgalupp	PROPN
bracis-28350	116	20	et	et	PROPN
bracis-28350	116	21	al	al	PROPN
bracis-28350	116	22	.	.	PUNCT
bracis-28350	116	23	 	 	SPACE
bracis-28350	117	1	[	[	X
bracis-28350	117	2	1	1	X
bracis-28350	117	3	]	]	PUNCT
bracis-28350	117	4	investigated	investigate	VERB
bracis-28350	117	5	whether	whether	SCONJ
bracis-28350	117	6	it	it	PRON
bracis-28350	117	7	was	be	AUX
bracis-28350	117	8	possible	possible	ADJ
bracis-28350	117	9	to	to	PART
bracis-28350	117	10	obtain	obtain	VERB
bracis-28350	117	11	better	well	ADJ
bracis-28350	117	12	results	result	NOUN
bracis-28350	117	13	by	by	ADP
bracis-28350	117	14	learning	learn	VERB
bracis-28350	117	15	multi	multi	ADJ
bracis-28350	117	16	-	-	ADJ
bracis-28350	117	17	target	target	NOUN
bracis-28350	117	18	models	model	NOUN
bracis-28350	117	19	on	on	ADP
bracis-28350	117	20	several	several	ADJ
bracis-28350	117	21	partitions	partition	NOUN
bracis-28350	117	22	of	of	ADP
bracis-28350	117	23	the	the	DET
bracis-28350	117	24	targets	target	NOUN
bracis-28350	117	25	.	.	PUNCT
bracis-28350	118	1	they	they	PRON
bracis-28350	118	2	used	use	VERB
bracis-28350	118	3	a	a	DET
bracis-28350	118	4	genetic	genetic	ADJ
bracis-28350	118	5	algorithm	algorithm	NOUN
bracis-28350	118	6	(	(	PUNCT
bracis-28350	118	7	ga	ga	NOUN
bracis-28350	118	8	)	)	PUNCT
bracis-28350	118	9	and	and	CCONJ
bracis-28350	118	10	an	an	DET
bracis-28350	118	11	exhaustive	exhaustive	ADJ
bracis-28350	118	12	search	search	NOUN
bracis-28350	118	13	to	to	PART
bracis-28350	118	14	find	find	VERB
bracis-28350	118	15	alternate	alternate	ADJ
bracis-28350	118	16	partitions	partition	NOUN
bracis-28350	118	17	between	between	ADP
bracis-28350	118	18	the	the	DET
bracis-28350	118	19	global	global	ADJ
bracis-28350	118	20	and	and	CCONJ
bracis-28350	118	21	local	local	ADJ
bracis-28350	118	22	ones	one	NOUN
bracis-28350	118	23	.	.	PUNCT
bracis-28350	119	1	they	they	PRON
bracis-28350	119	2	tested	test	VERB
bracis-28350	119	3	those	those	DET
bracis-28350	119	4	partitions	partition	NOUN
bracis-28350	119	5	with	with	ADP
bracis-28350	119	6	random	random	ADJ
bracis-28350	119	7	forests	forest	NOUN
bracis-28350	119	8	and	and	CCONJ
bracis-28350	119	9	decision	decision	NOUN
bracis-28350	119	10	trees	tree	NOUN
bracis-28350	119	11	in	in	ADP
bracis-28350	119	12	multi	multi	ADJ
bracis-28350	119	13	-	-	ADJ
bracis-28350	119	14	target	target	ADJ
bracis-28350	119	15	regression	regression	NOUN
bracis-28350	119	16	and	and	CCONJ
bracis-28350	119	17	multi	multi	ADJ
bracis-28350	119	18	-	-	ADJ
bracis-28350	119	19	label	label	ADJ
bracis-28350	119	20	problems	problem	NOUN
bracis-28350	119	21	and	and	CCONJ
bracis-28350	119	22	then	then	ADV
bracis-28350	119	23	compared	compare	VERB
bracis-28350	119	24	them	they	PRON
bracis-28350	119	25	with	with	ADP
bracis-28350	119	26	the	the	DET
bracis-28350	119	27	local	local	ADJ
bracis-28350	119	28	and	and	CCONJ
bracis-28350	119	29	global	global	ADJ
bracis-28350	119	30	ones	one	NOUN
bracis-28350	119	31	.	.	PUNCT
bracis-28350	120	1	an	an	DET
bracis-28350	120	2	oracle	oracle	NOUN
bracis-28350	120	3	experiment	experiment	NOUN
bracis-28350	120	4	was	be	AUX
bracis-28350	120	5	also	also	ADV
bracis-28350	120	6	conducted	conduct	VERB
bracis-28350	120	7	,	,	PUNCT
bracis-28350	120	8	proving	prove	VERB
bracis-28350	120	9	that	that	SCONJ
bracis-28350	120	10	it	it	PRON
bracis-28350	120	11	is	be	AUX
bracis-28350	120	12	possible	possible	ADJ
bracis-28350	120	13	to	to	PART
bracis-28350	120	14	find	find	VERB
bracis-28350	120	15	partitions	partition	NOUN
bracis-28350	120	16	beyond	beyond	ADP
bracis-28350	120	17	traditional	traditional	ADJ
bracis-28350	120	18	ones	one	NOUN
bracis-28350	120	19	and	and	CCONJ
bracis-28350	120	20	obtain	obtain	VERB
bracis-28350	120	21	superior	superior	ADJ
bracis-28350	120	22	performances	performance	NOUN
bracis-28350	120	23	.	.	PUNCT
bracis-28350	121	1	although	although	SCONJ
bracis-28350	121	2	the	the	DET
bracis-28350	121	3	global	global	ADJ
bracis-28350	121	4	approach	approach	NOUN
bracis-28350	121	5	led	lead	VERB
bracis-28350	121	6	to	to	ADP
bracis-28350	121	7	better	well	ADJ
bracis-28350	121	8	results	result	NOUN
bracis-28350	121	9	for	for	ADP
bracis-28350	121	10	the	the	DET
bracis-28350	121	11	multi	multi	ADJ
bracis-28350	121	12	-	-	ADJ
bracis-28350	121	13	label	label	ADJ
bracis-28350	121	14	case	case	NOUN
bracis-28350	121	15	with	with	ADP
bracis-28350	121	16	decision	decision	NOUN
bracis-28350	121	17	trees	tree	NOUN
bracis-28350	121	18	,	,	PUNCT
bracis-28350	121	19	the	the	DET
bracis-28350	121	20	results	result	NOUN
bracis-28350	121	21	showed	show	VERB
bracis-28350	121	22	no	no	DET
bracis-28350	121	23	statistically	statistically	ADV
bracis-28350	121	24	significant	significant	ADJ
bracis-28350	121	25	differences	difference	NOUN
bracis-28350	121	26	among	among	ADP
bracis-28350	121	27	local	local	ADJ
bracis-28350	121	28	,	,	PUNCT
bracis-28350	121	29	global	global	ADJ
bracis-28350	121	30	,	,	PUNCT
bracis-28350	121	31	and	and	CCONJ
bracis-28350	121	32	alternate	alternate	ADJ
bracis-28350	121	33	partitions	partition	NOUN
bracis-28350	121	34	,	,	PUNCT
bracis-28350	121	35	which	which	PRON
bracis-28350	121	36	matches	match	VERB
bracis-28350	121	37	our	our	PRON
bracis-28350	121	38	conclusions	conclusion	NOUN
bracis-28350	121	39	.	.	PUNCT
bracis-28350	122	1	in	in	ADP
bracis-28350	122	2	our	our	PRON
bracis-28350	122	3	work	work	NOUN
bracis-28350	122	4	,	,	PUNCT
bracis-28350	122	5	we	we	PRON
bracis-28350	122	6	also	also	ADV
bracis-28350	122	7	found	find	VERB
bracis-28350	122	8	hybrid	hybrid	ADJ
bracis-28350	122	9	partitions	partition	NOUN
bracis-28350	122	10	that	that	PRON
bracis-28350	122	11	led	lead	VERB
bracis-28350	122	12	to	to	ADP
bracis-28350	122	13	better	well	ADJ
bracis-28350	122	14	results	result	NOUN
bracis-28350	122	15	than	than	ADP
bracis-28350	122	16	the	the	DET
bracis-28350	122	17	local	local	ADJ
bracis-28350	122	18	and	and	CCONJ
bracis-28350	122	19	global	global	ADJ
bracis-28350	122	20	ones	one	NOUN
bracis-28350	122	21	for	for	ADP
bracis-28350	122	22	some	some	DET
bracis-28350	122	23	datasets	dataset	NOUN
bracis-28350	122	24	,	,	PUNCT
bracis-28350	122	25	and	and	CCONJ
bracis-28350	122	26	the	the	DET
bracis-28350	122	27	conclusions	conclusion	NOUN
bracis-28350	122	28	from	from	ADP
bracis-28350	122	29	this	this	DET
bracis-28350	122	30	study	study	NOUN
bracis-28350	122	31	are	be	AUX
bracis-28350	122	32	similar	similar	ADJ
bracis-28350	122	33	to	to	ADP
bracis-28350	122	34	the	the	DET
bracis-28350	122	35	ones	one	NOUN
bracis-28350	122	36	from	from	ADP
bracis-28350	122	37	melo	melo	PROPN
bracis-28350	122	38	and	and	CCONJ
bracis-28350	122	39	paulheim	paulheim	PROPN
bracis-28350	122	40	 	 	SPACE
bracis-28350	123	1	[	[	X
bracis-28350	123	2	15	15	NUM
bracis-28350	123	3	]	]	PUNCT
bracis-28350	123	4	.	.	PUNCT
bracis-28350	124	1	from	from	ADP
bracis-28350	124	2	the	the	DET
bracis-28350	124	3	revised	revise	VERB
bracis-28350	124	4	works	work	NOUN
bracis-28350	124	5	we	we	PRON
bracis-28350	124	6	can	can	AUX
bracis-28350	124	7	find	find	VERB
bracis-28350	124	8	many	many	ADJ
bracis-28350	124	9	open	open	ADJ
bracis-28350	124	10	research	research	NOUN
bracis-28350	124	11	questions	question	NOUN
bracis-28350	124	12	in	in	ADP
bracis-28350	124	13	multi	multi	ADJ
bracis-28350	124	14	-	-	ADJ
bracis-28350	124	15	label	label	ADJ
bracis-28350	124	16	classification	classification	NOUN
bracis-28350	124	17	.	.	PUNCT
bracis-28350	125	1	our	our	PRON
bracis-28350	125	2	objective	objective	NOUN
bracis-28350	125	3	here	here	ADV
bracis-28350	125	4	is	be	AUX
bracis-28350	125	5	not	not	PART
bracis-28350	125	6	to	to	PART
bracis-28350	125	7	answer	answer	VERB
bracis-28350	125	8	or	or	CCONJ
bracis-28350	125	9	find	find	VERB
bracis-28350	125	10	solutions	solution	NOUN
bracis-28350	125	11	for	for	ADP
bracis-28350	125	12	all	all	PRON
bracis-28350	125	13	of	of	ADP
bracis-28350	125	14	them	they	PRON
bracis-28350	125	15	.	.	PUNCT
bracis-28350	126	1	instead	instead	ADV
bracis-28350	126	2	,	,	PUNCT
bracis-28350	126	3	we	we	PRON
bracis-28350	126	4	focused	focus	VERB
bracis-28350	126	5	on	on	ADP
bracis-28350	126	6	finding	find	VERB
bracis-28350	126	7	partitions	partition	NOUN
bracis-28350	126	8	between	between	ADP
bracis-28350	126	9	global	global	ADJ
bracis-28350	126	10	and	and	CCONJ
bracis-28350	126	11	local	local	ADJ
bracis-28350	126	12	ones	one	NOUN
bracis-28350	126	13	and	and	CCONJ
bracis-28350	126	14	verifying	verify	VERB
bracis-28350	126	15	whether	whether	SCONJ
bracis-28350	126	16	they	they	PRON
bracis-28350	126	17	could	could	AUX
bracis-28350	126	18	improve	improve	VERB
bracis-28350	126	19	the	the	DET
bracis-28350	126	20	classifier	classifier	NOUN
bracis-28350	126	21	’s	’s	PART
bracis-28350	126	22	predictions	prediction	NOUN
bracis-28350	126	23	.	.	PUNCT
bracis-28350	127	1	3	3	NUM
bracis-28350	127	2	proposed	propose	VERB
bracis-28350	127	3	approach	approach	NOUN
bracis-28350	127	4	our	our	PRON
bracis-28350	127	5	approach	approach	NOUN
bracis-28350	127	6	consists	consist	VERB
bracis-28350	127	7	of	of	ADP
bracis-28350	127	8	the	the	DET
bracis-28350	127	9	following	follow	VERB
bracis-28350	127	10	steps	step	NOUN
bracis-28350	127	11	:	:	PUNCT
bracis-28350	127	12	1	1	NUM
bracis-28350	127	13	)	)	PUNCT
bracis-28350	127	14	data	datum	NOUN
bracis-28350	127	15	preprocessing	preprocessing	NOUN
bracis-28350	127	16	,	,	PUNCT
bracis-28350	127	17	which	which	PRON
bracis-28350	127	18	divides	divide	VERB
bracis-28350	127	19	the	the	DET
bracis-28350	127	20	dataset	dataset	NOUN
bracis-28350	127	21	into	into	ADP
bracis-28350	127	22	train	train	NOUN
bracis-28350	127	23	,	,	PUNCT
bracis-28350	127	24	validation	validation	NOUN
bracis-28350	127	25	,	,	PUNCT
bracis-28350	127	26	and	and	CCONJ
bracis-28350	127	27	test	test	NOUN
bracis-28350	127	28	sets	set	NOUN
bracis-28350	127	29	;	;	PUNCT
bracis-28350	127	30	2	2	X
bracis-28350	127	31	)	)	PUNCT
bracis-28350	127	32	modeling	model	VERB
bracis-28350	127	33	label	label	NOUN
bracis-28350	127	34	correlations	correlation	NOUN
bracis-28350	127	35	,	,	PUNCT
bracis-28350	127	36	where	where	SCONJ
bracis-28350	127	37	we	we	PRON
bracis-28350	127	38	build	build	VERB
bracis-28350	127	39	graphs	graph	NOUN
bracis-28350	127	40	computing	compute	VERB
bracis-28350	127	41	jaccard	jaccard	ADJ
bracis-28350	127	42	index	index	NOUN
bracis-28350	127	43	and	and	CCONJ
bracis-28350	127	44	rogers	rogers	PROPN
bracis-28350	127	45	-	-	PUNCT
bracis-28350	127	46	tanimoto	tanimoto	NOUN
bracis-28350	127	47	similarity	similarity	NOUN
bracis-28350	127	48	measures	measure	NOUN
bracis-28350	127	49	on	on	ADP
bracis-28350	127	50	the	the	DET
bracis-28350	127	51	label	label	NOUN
bracis-28350	127	52	space	space	NOUN
bracis-28350	127	53	of	of	ADP
bracis-28350	127	54	the	the	DET
bracis-28350	127	55	train	train	NOUN
bracis-28350	127	56	set	set	NOUN
bracis-28350	127	57	;	;	PUNCT
bracis-28350	127	58	3	3	X
bracis-28350	127	59	)	)	PUNCT
bracis-28350	127	60	applying	apply	VERB
bracis-28350	127	61	community	community	NOUN
bracis-28350	127	62	detection	detection	NOUN
bracis-28350	127	63	methods	method	NOUN
bracis-28350	127	64	to	to	PART
bracis-28350	127	65	find	find	VERB
bracis-28350	127	66	hybrid	hybrid	ADJ
bracis-28350	127	67	partitions	partition	NOUN
bracis-28350	127	68	;	;	PUNCT
bracis-28350	127	69	4	4	X
bracis-28350	127	70	)	)	PUNCT
bracis-28350	127	71	building	build	VERB
bracis-28350	127	72	the	the	DET
bracis-28350	127	73	hybrid	hybrid	ADJ
bracis-28350	127	74	partitions	partition	NOUN
bracis-28350	127	75	and	and	CCONJ
bracis-28350	127	76	the	the	DET
bracis-28350	127	77	corresponding	corresponding	ADJ
bracis-28350	127	78	datasets	dataset	NOUN
bracis-28350	127	79	for	for	ADP
bracis-28350	127	80	each	each	DET
bracis-28350	127	81	partition	partition	NOUN
bracis-28350	127	82	;	;	PUNCT
bracis-28350	127	83	5	5	X
bracis-28350	127	84	)	)	PUNCT
bracis-28350	127	85	validate	validate	VERB
bracis-28350	127	86	the	the	DET
bracis-28350	127	87	hybrid	hybrid	ADJ
bracis-28350	127	88	partitions	partition	NOUN
bracis-28350	127	89	and	and	CCONJ
bracis-28350	127	90	choose	choose	VERB
bracis-28350	127	91	the	the	DET
bracis-28350	127	92	best	good	ADJ
bracis-28350	127	93	one	one	NOUN
bracis-28350	127	94	using	use	VERB
bracis-28350	127	95	the	the	DET
bracis-28350	127	96	silhouette	silhouette	NOUN
bracis-28350	127	97	coefficient	coefficient	NOUN
bracis-28350	127	98	;	;	PUNCT
bracis-28350	127	99	and	and	CCONJ
bracis-28350	127	100	6	6	X
bracis-28350	127	101	)	)	PUNCT
bracis-28350	127	102	test	test	NOUN
bracis-28350	127	103	the	the	DET
bracis-28350	127	104	best	good	ADJ
bracis-28350	127	105	hybrid	hybrid	ADJ
bracis-28350	127	106	partition	partition	NOUN
bracis-28350	127	107	with	with	ADP
bracis-28350	127	108	the	the	DET
bracis-28350	127	109	test	test	NOUN
bracis-28350	127	110	set	set	VERB
bracis-28350	127	111	.	.	PUNCT
bracis-28350	128	1	figure	figure	NOUN
bracis-28350	128	2	 	 	SPACE
bracis-28350	128	3	2	2	NUM
bracis-28350	128	4	shows	show	VERB
bracis-28350	128	5	an	an	DET
bracis-28350	128	6	overview	overview	NOUN
bracis-28350	128	7	of	of	ADP
bracis-28350	128	8	our	our	PRON
bracis-28350	128	9	approach	approach	NOUN
bracis-28350	128	10	.	.	PUNCT
bracis-28350	129	1	the	the	DET
bracis-28350	129	2	complete	complete	ADJ
bracis-28350	129	3	process	process	NOUN
bracis-28350	129	4	is	be	AUX
bracis-28350	129	5	presented	present	VERB
bracis-28350	129	6	in	in	ADP
bracis-28350	129	7	the	the	DET
bracis-28350	129	8	following	follow	VERB
bracis-28350	129	9	subsections	subsection	NOUN
bracis-28350	129	10	.	.	PUNCT
bracis-28350	130	1	fig	fig	NOUN
bracis-28350	130	2	.	.	PUNCT
bracis-28350	131	1	2	2	X
bracis-28350	131	2	.	.	X
bracis-28350	131	3	overview	overview	NOUN
bracis-28350	131	4	of	of	ADP
bracis-28350	131	5	the	the	DET
bracis-28350	131	6	proposed	propose	VERB
bracis-28350	131	7	approach	approach	NOUN
bracis-28350	131	8	.	.	PUNCT
bracis-28350	132	1	full	full	ADJ
bracis-28350	132	2	size	size	NOUN
bracis-28350	132	3	image	image	NOUN
bracis-28350	132	4	3.1	3.1	NUM
bracis-28350	132	5	steps	step	NOUN
bracis-28350	132	6	1	1	NUM
bracis-28350	132	7	and	and	CCONJ
bracis-28350	132	8	 	 	SPACE
bracis-28350	132	9	2	2	NUM
bracis-28350	132	10	:	:	PUNCT
bracis-28350	132	11	preprocess	preprocess	NOUN
bracis-28350	132	12	and	and	CCONJ
bracis-28350	132	13	 	 	SPACE
bracis-28350	132	14	model	model	NOUN
bracis-28350	132	15	label	label	NOUN
bracis-28350	132	16	correlations	correlation	NOUN
bracis-28350	132	17	step	step	NOUN
bracis-28350	132	18	1	1	NUM
bracis-28350	132	19	divides	divide	VERB
bracis-28350	132	20	the	the	DET
bracis-28350	132	21	dataset	dataset	NOUN
bracis-28350	132	22	into	into	ADP
bracis-28350	132	23	the	the	DET
bracis-28350	132	24	train	train	NOUN
bracis-28350	132	25	,	,	PUNCT
bracis-28350	132	26	validation	validation	NOUN
bracis-28350	132	27	,	,	PUNCT
bracis-28350	132	28	and	and	CCONJ
bracis-28350	132	29	test	test	NOUN
bracis-28350	132	30	sets	set	NOUN
bracis-28350	132	31	and	and	CCONJ
bracis-28350	132	32	also	also	ADV
bracis-28350	132	33	splits	split	VERB
bracis-28350	132	34	the	the	DET
bracis-28350	132	35	label	label	NOUN
bracis-28350	132	36	space	space	NOUN
bracis-28350	132	37	from	from	ADP
bracis-28350	132	38	the	the	DET
bracis-28350	132	39	train	train	NOUN
bracis-28350	132	40	set	set	NOUN
bracis-28350	132	41	,	,	PUNCT
bracis-28350	132	42	while	while	SCONJ
bracis-28350	132	43	step	step	NOUN
bracis-28350	132	44	2	2	NUM
bracis-28350	132	45	models	model	NOUN
bracis-28350	132	46	label	label	NOUN
bracis-28350	132	47	correlations	correlation	NOUN
bracis-28350	132	48	.	.	PUNCT
bracis-28350	133	1	according	accord	VERB
bracis-28350	133	2	to	to	ADP
bracis-28350	133	3	silva	silva	PROPN
bracis-28350	133	4	and	and	CCONJ
bracis-28350	133	5	zhao	zhao	PROPN
bracis-28350	133	6	 	 	SPACE
bracis-28350	133	7	[	[	X
bracis-28350	133	8	31	31	NUM
bracis-28350	133	9	]	]	PUNCT
bracis-28350	133	10	,	,	PUNCT
bracis-28350	133	11	we	we	PRON
bracis-28350	133	12	need	need	VERB
bracis-28350	133	13	a	a	DET
bracis-28350	133	14	similarity	similarity	NOUN
bracis-28350	133	15	or	or	CCONJ
bracis-28350	133	16	dissimilarity	dissimilarity	NOUN
bracis-28350	133	17	matrix	matrix	NOUN
bracis-28350	133	18	to	to	PART
bracis-28350	133	19	build	build	VERB
bracis-28350	133	20	a	a	DET
bracis-28350	133	21	network	network	NOUN
bracis-28350	133	22	from	from	ADP
bracis-28350	133	23	vector	vector	NOUN
bracis-28350	133	24	-	-	PUNCT
bracis-28350	133	25	based	base	VERB
bracis-28350	133	26	data	datum	NOUN
bracis-28350	133	27	,	,	PUNCT
bracis-28350	133	28	which	which	PRON
bracis-28350	133	29	makes	make	VERB
bracis-28350	133	30	it	it	PRON
bracis-28350	133	31	possible	possible	ADJ
bracis-28350	133	32	to	to	PART
bracis-28350	133	33	establish	establish	VERB
bracis-28350	133	34	links	link	NOUN
bracis-28350	133	35	between	between	ADP
bracis-28350	133	36	pairs	pair	NOUN
bracis-28350	133	37	of	of	ADP
bracis-28350	133	38	labels	label	NOUN
bracis-28350	133	39	with	with	ADP
bracis-28350	133	40	weights	weight	NOUN
bracis-28350	133	41	according	accord	VERB
bracis-28350	133	42	to	to	ADP
bracis-28350	133	43	that	that	DET
bracis-28350	133	44	matrix	matrix	NOUN
bracis-28350	133	45	.	.	PUNCT
bracis-28350	134	1	however	however	ADV
bracis-28350	134	2	,	,	PUNCT
bracis-28350	134	3	links	link	NOUN
bracis-28350	134	4	with	with	ADP
bracis-28350	134	5	small	small	ADJ
bracis-28350	134	6	weights	weight	NOUN
bracis-28350	134	7	can	can	AUX
bracis-28350	134	8	lead	lead	VERB
bracis-28350	134	9	to	to	ADP
bracis-28350	134	10	poor	poor	ADJ
bracis-28350	134	11	results	result	NOUN
bracis-28350	134	12	and	and	CCONJ
bracis-28350	134	13	be	be	AUX
bracis-28350	134	14	considered	consider	VERB
bracis-28350	134	15	noises	noise	NOUN
bracis-28350	134	16	that	that	PRON
bracis-28350	134	17	could	could	AUX
bracis-28350	134	18	provide	provide	VERB
bracis-28350	134	19	wrong	wrong	ADJ
bracis-28350	134	20	information	information	NOUN
bracis-28350	134	21	to	to	ADP
bracis-28350	134	22	the	the	DET
bracis-28350	134	23	machine	machine	NOUN
bracis-28350	134	24	learning	learning	NOUN
bracis-28350	134	25	algorithm	algorithm	NOUN
bracis-28350	134	26	.	.	PUNCT
bracis-28350	135	1	to	to	PART
bracis-28350	135	2	avoid	avoid	VERB
bracis-28350	135	3	that	that	PRON
bracis-28350	135	4	,	,	PUNCT
bracis-28350	135	5	sparsification	sparsification	NOUN
bracis-28350	135	6	must	must	AUX
bracis-28350	135	7	be	be	AUX
bracis-28350	135	8	applied	apply	VERB
bracis-28350	135	9	,	,	PUNCT
bracis-28350	135	10	a	a	DET
bracis-28350	135	11	preprocess	preprocess	NOUN
bracis-28350	135	12	that	that	PRON
bracis-28350	135	13	cuts	cut	VERB
bracis-28350	135	14	those	those	DET
bracis-28350	135	15	edges	edge	NOUN
bracis-28350	135	16	and	and	CCONJ
bracis-28350	135	17	can	can	AUX
bracis-28350	135	18	improve	improve	VERB
bracis-28350	135	19	the	the	DET
bracis-28350	135	20	learning	learning	NOUN
bracis-28350	135	21	stage	stage	NOUN
bracis-28350	135	22	.	.	PUNCT
bracis-28350	136	1	one	one	NUM
bracis-28350	136	2	traditional	traditional	ADJ
bracis-28350	136	3	sparsification	sparsification	NOUN
bracis-28350	136	4	is	be	AUX
bracis-28350	136	5	based	base	VERB
bracis-28350	136	6	on	on	ADP
bracis-28350	136	7	the	the	DET
bracis-28350	136	8	concept	concept	NOUN
bracis-28350	136	9	of	of	ADP
bracis-28350	136	10	k	k	PROPN
bracis-28350	136	11	nearest	near	ADJ
bracis-28350	136	12	neighbors	neighbor	NOUN
bracis-28350	136	13	,	,	PUNCT
bracis-28350	136	14	where	where	SCONJ
bracis-28350	136	15	the	the	DET
bracis-28350	136	16	cuts	cut	NOUN
bracis-28350	136	17	occur	occur	VERB
bracis-28350	136	18	in	in	ADP
bracis-28350	136	19	the	the	DET
bracis-28350	136	20	links	link	NOUN
bracis-28350	136	21	that	that	PRON
bracis-28350	136	22	are	be	AUX
bracis-28350	136	23	not	not	PART
bracis-28350	136	24	part	part	NOUN
bracis-28350	136	25	of	of	ADP
bracis-28350	136	26	the	the	DET
bracis-28350	136	27	neighborhood	neighborhood	NOUN
bracis-28350	136	28	.	.	PUNCT
bracis-28350	137	1	another	another	DET
bracis-28350	137	2	type	type	NOUN
bracis-28350	137	3	allows	allow	VERB
bracis-28350	137	4	a	a	DET
bracis-28350	137	5	threshold	threshold	NOUN
bracis-28350	137	6	that	that	PRON
bracis-28350	137	7	cuts	cut	VERB
bracis-28350	137	8	some	some	DET
bracis-28350	137	9	percentage	percentage	NOUN
bracis-28350	137	10	of	of	ADP
bracis-28350	137	11	the	the	DET
bracis-28350	137	12	links	link	NOUN
bracis-28350	137	13	 	 	SPACE
bracis-28350	138	1	[	[	X
bracis-28350	138	2	31	31	NUM
bracis-28350	138	3	]	]	PUNCT
bracis-28350	138	4	.	.	PUNCT
bracis-28350	139	1	we	we	PRON
bracis-28350	139	2	use	use	VERB
bracis-28350	139	3	both	both	DET
bracis-28350	139	4	types	type	NOUN
bracis-28350	139	5	in	in	ADP
bracis-28350	139	6	our	our	PRON
bracis-28350	139	7	study	study	NOUN
bracis-28350	139	8	.	.	PUNCT
bracis-28350	140	1	we	we	PRON
bracis-28350	140	2	choose	choose	VERB
bracis-28350	140	3	jaccard	jaccard	ADJ
bracis-28350	140	4	index	index	NOUN
bracis-28350	140	5	(	(	PUNCT
bracis-28350	140	6	eq	eq	NOUN
bracis-28350	140	7	.	.	PUNCT
bracis-28350	140	8	 	 	SPACE
bracis-28350	140	9	1	1	NUM
bracis-28350	140	10	)	)	PUNCT
bracis-28350	140	11	and	and	CCONJ
bracis-28350	140	12	rogers	rogers	PROPN
bracis-28350	140	13	-	-	PUNCT
bracis-28350	140	14	tanimoto	tanimoto	PROPN
bracis-28350	140	15	(	(	PUNCT
bracis-28350	140	16	eq	eq	NOUN
bracis-28350	140	17	.	.	PUNCT
bracis-28350	140	18	 	 	SPACE
bracis-28350	140	19	2	2	NUM
bracis-28350	140	20	)	)	PUNCT
bracis-28350	140	21	as	as	ADP
bracis-28350	140	22	similarities	similarity	NOUN
bracis-28350	140	23	measures	measure	NOUN
bracis-28350	140	24	to	to	PART
bracis-28350	140	25	build	build	VERB
bracis-28350	140	26	label	label	NOUN
bracis-28350	140	27	co	co	ADJ
bracis-28350	140	28	-	-	NOUN
bracis-28350	140	29	occurrence	occurrence	ADJ
bracis-28350	140	30	graphs	graph	NOUN
bracis-28350	140	31	,	,	PUNCT
bracis-28350	140	32	as	as	SCONJ
bracis-28350	140	33	they	they	PRON
bracis-28350	140	34	are	be	AUX
bracis-28350	140	35	well	well	ADV
bracis-28350	140	36	-	-	PUNCT
bracis-28350	140	37	known	know	VERB
bracis-28350	140	38	and	and	CCONJ
bracis-28350	140	39	popular	popular	ADJ
bracis-28350	140	40	measures	measure	NOUN
bracis-28350	140	41	 	 	SPACE
bracis-28350	140	42	[	[	PUNCT
bracis-28350	140	43	6	6	NUM
bracis-28350	140	44	,	,	PUNCT
bracis-28350	140	45	11	11	NUM
bracis-28350	140	46	,	,	PUNCT
bracis-28350	140	47	35	35	NUM
bracis-28350	140	48	]	]	PUNCT
bracis-28350	140	49	.	.	PUNCT
bracis-28350	141	1	in	in	ADP
bracis-28350	141	2	eqs	eqs	PROPN
bracis-28350	141	3	.	.	PUNCT
bracis-28350	141	4	 	 	SPACE
bracis-28350	141	5	1	1	NUM
bracis-28350	141	6	and	and	CCONJ
bracis-28350	141	7	 	 	SPACE
bracis-28350	141	8	2	2	NUM
bracis-28350	141	9	,	,	PUNCT
bracis-28350	141	10	a	a	DET
bracis-28350	141	11	stands	stand	NOUN
bracis-28350	141	12	for	for	ADP
bracis-28350	141	13	the	the	DET
bracis-28350	141	14	number	number	NOUN
bracis-28350	141	15	of	of	ADP
bracis-28350	141	16	times	times	PROPN
bracis-28350	141	17	labels	label	NOUN
bracis-28350	141	18	\(l_{p}\	\(l_{p}\	ADV
bracis-28350	141	19	)	)	PUNCT
bracis-28350	141	20	and	and	CCONJ
bracis-28350	141	21	\(l_{q}\	\(l_{q}\	NUM
bracis-28350	141	22	)	)	PUNCT
bracis-28350	141	23	occur	occur	VERB
bracis-28350	141	24	together	together	ADV
bracis-28350	141	25	,	,	PUNCT
bracis-28350	141	26	while	while	SCONJ
bracis-28350	141	27	d	d	NOUN
bracis-28350	141	28	stands	stand	VERB
bracis-28350	141	29	for	for	ADP
bracis-28350	141	30	the	the	DET
bracis-28350	141	31	number	number	NOUN
bracis-28350	141	32	of	of	ADP
bracis-28350	141	33	times	time	NOUN
bracis-28350	141	34	those	those	DET
bracis-28350	141	35	two	two	NUM
bracis-28350	141	36	labels	label	NOUN
bracis-28350	141	37	never	never	ADV
bracis-28350	141	38	occur	occur	VERB
bracis-28350	141	39	together	together	ADV
bracis-28350	141	40	.	.	PUNCT
bracis-28350	142	1	variables	variable	NOUN
bracis-28350	142	2	b	b	PROPN
bracis-28350	142	3	and	and	CCONJ
bracis-28350	142	4	c	c	PROPN
bracis-28350	142	5	indicate	indicate	VERB
bracis-28350	142	6	the	the	DET
bracis-28350	142	7	number	number	NOUN
bracis-28350	142	8	of	of	ADP
bracis-28350	142	9	times	time	NOUN
bracis-28350	142	10	labels	label	NOUN
bracis-28350	142	11	\(l_{p}\	\(l_{p}\	ADV
bracis-28350	142	12	)	)	PUNCT
bracis-28350	142	13	and	and	CCONJ
bracis-28350	142	14	\(l_{q}\	\(l_{q}\	NUM
bracis-28350	142	15	)	)	PUNCT
bracis-28350	142	16	occur	occur	VERB
bracis-28350	142	17	alone	alone	ADV
bracis-28350	142	18	.	.	PUNCT
bracis-28350	143	1	each	each	DET
bracis-28350	143	2	measure	measure	NOUN
bracis-28350	143	3	is	be	AUX
bracis-28350	143	4	applied	apply	VERB
bracis-28350	143	5	in	in	ADP
bracis-28350	143	6	the	the	DET
bracis-28350	143	7	label	label	NOUN
bracis-28350	143	8	space	space	NOUN
bracis-28350	143	9	of	of	ADP
bracis-28350	143	10	the	the	DET
bracis-28350	143	11	train	train	NOUN
bracis-28350	143	12	set	set	NOUN
bracis-28350	143	13	,	,	PUNCT
bracis-28350	143	14	resulting	result	VERB
bracis-28350	143	15	in	in	ADP
bracis-28350	143	16	similarity	similarity	NOUN
bracis-28350	143	17	matrices	matrix	NOUN
bracis-28350	143	18	.	.	PUNCT
bracis-28350	144	1	each	each	DET
bracis-28350	144	2	matrix	matrix	NOUN
bracis-28350	144	3	represents	represent	VERB
bracis-28350	144	4	a	a	DET
bracis-28350	144	5	complete	complete	ADJ
bracis-28350	144	6	graph	graph	NOUN
bracis-28350	144	7	modeled	model	VERB
bracis-28350	144	8	with	with	ADP
bracis-28350	144	9	the	the	DET
bracis-28350	144	10	label	label	NOUN
bracis-28350	144	11	correlations	correlation	NOUN
bracis-28350	144	12	,	,	PUNCT
bracis-28350	144	13	where	where	SCONJ
bracis-28350	144	14	an	an	DET
bracis-28350	144	15	edge	edge	NOUN
bracis-28350	144	16	(	(	PUNCT
bracis-28350	144	17	similarity	similarity	NOUN
bracis-28350	144	18	value	value	NOUN
bracis-28350	144	19	)	)	PUNCT
bracis-28350	144	20	connects	connect	VERB
bracis-28350	144	21	every	every	DET
bracis-28350	144	22	pair	pair	NOUN
bracis-28350	144	23	of	of	ADP
bracis-28350	144	24	distinct	distinct	ADJ
bracis-28350	144	25	vertices	vertex	NOUN
bracis-28350	144	26	(	(	PUNCT
bracis-28350	144	27	labels	label	NOUN
bracis-28350	144	28	)	)	PUNCT
bracis-28350	144	29	.	.	PUNCT
bracis-28350	145	1	3.2	3.2	NUM
bracis-28350	145	2	step	step	NOUN
bracis-28350	145	3	3	3	NUM
bracis-28350	145	4	:	:	PUNCT
bracis-28350	145	5	apply	apply	VERB
bracis-28350	145	6	community	community	NOUN
bracis-28350	145	7	detection	detection	NOUN
bracis-28350	145	8	methods	method	NOUN
bracis-28350	145	9	in	in	ADP
bracis-28350	145	10	this	this	DET
bracis-28350	145	11	step	step	NOUN
bracis-28350	145	12	,	,	PUNCT
bracis-28350	145	13	we	we	PRON
bracis-28350	145	14	applied	apply	VERB
bracis-28350	145	15	seven	seven	NUM
bracis-28350	145	16	community	community	NOUN
bracis-28350	145	17	detection	detection	NOUN
bracis-28350	145	18	methods	method	NOUN
bracis-28350	145	19	to	to	ADP
bracis-28350	145	20	each	each	DET
bracis-28350	145	21	graph	graph	NOUN
bracis-28350	145	22	.	.	PUNCT
bracis-28350	146	1	the	the	DET
bracis-28350	146	2	methods	method	NOUN
bracis-28350	146	3	are	be	AUX
bracis-28350	146	4	divided	divide	VERB
bracis-28350	146	5	into	into	ADP
bracis-28350	146	6	two	two	NUM
bracis-28350	146	7	categories	category	NOUN
bracis-28350	146	8	:	:	PUNCT
bracis-28350	146	9	a	a	X
bracis-28350	146	10	)	)	PUNCT
bracis-28350	146	11	hierarchical	hierarchical	ADJ
bracis-28350	146	12	:	:	PUNCT
bracis-28350	146	13	waktrap	waktrap	NOUN
bracis-28350	146	14	 	 	SPACE
bracis-28350	147	1	[	[	X
bracis-28350	147	2	21	21	NUM
bracis-28350	147	3	]	]	PUNCT
bracis-28350	147	4	,	,	PUNCT
bracis-28350	147	5	fast	fast	ADJ
bracis-28350	147	6	greedy	greedy	ADJ
bracis-28350	147	7	 	 	SPACE
bracis-28350	148	1	[	[	X
bracis-28350	148	2	9	9	NUM
bracis-28350	148	3	]	]	PUNCT
bracis-28350	148	4	and	and	CCONJ
bracis-28350	148	5	edge	edge	VERB
bracis-28350	148	6	betweenness	betweenness	NOUN
bracis-28350	148	7	 	 	SPACE
bracis-28350	149	1	[	[	X
bracis-28350	149	2	18	18	NUM
bracis-28350	149	3	]	]	X
bracis-28350	149	4	;	;	PUNCT
bracis-28350	149	5	and	and	CCONJ
bracis-28350	149	6	b	b	X
bracis-28350	149	7	)	)	PUNCT
bracis-28350	149	8	non	non	ADJ
bracis-28350	149	9	-	-	ADJ
bracis-28350	149	10	hierarchical	hierarchical	ADJ
bracis-28350	149	11	:	:	PUNCT
bracis-28350	149	12	louvain	louvain	NOUN
bracis-28350	149	13	 	 	SPACE
bracis-28350	150	1	[	[	X
bracis-28350	150	2	2	2	NUM
bracis-28350	150	3	]	]	PUNCT
bracis-28350	150	4	,	,	PUNCT
bracis-28350	150	5	infomap	infomap	ADJ
bracis-28350	150	6	 	 	SPACE
bracis-28350	151	1	[	[	X
bracis-28350	151	2	27	27	NUM
bracis-28350	151	3	]	]	PUNCT
bracis-28350	151	4	,	,	PUNCT
bracis-28350	151	5	spinglass	spinglass	NOUN
bracis-28350	151	6	 	 	SPACE
bracis-28350	151	7	[	[	X
bracis-28350	151	8	24	24	NUM
bracis-28350	151	9	]	]	PUNCT
bracis-28350	151	10	and	and	CCONJ
bracis-28350	151	11	label	label	NOUN
bracis-28350	151	12	propagation	propagation	NOUN
bracis-28350	151	13	 	 	SPACE
bracis-28350	152	1	[	[	X
bracis-28350	152	2	22	22	NUM
bracis-28350	152	3	]	]	PUNCT
bracis-28350	152	4	.	.	PUNCT
bracis-28350	153	1	hierarchical	hierarchical	ADJ
bracis-28350	153	2	methods	method	NOUN
bracis-28350	153	3	provide	provide	VERB
bracis-28350	153	4	dendrograms	dendrogram	NOUN
bracis-28350	153	5	that	that	PRON
bracis-28350	153	6	can	can	AUX
bracis-28350	153	7	be	be	AUX
bracis-28350	153	8	used	use	VERB
bracis-28350	153	9	to	to	PART
bracis-28350	153	10	construct	construct	VERB
bracis-28350	153	11	several	several	ADJ
bracis-28350	153	12	hybrid	hybrid	ADJ
bracis-28350	153	13	partitions	partition	NOUN
bracis-28350	153	14	.	.	PUNCT
bracis-28350	154	1	the	the	DET
bracis-28350	154	2	procedure	procedure	NOUN
bracis-28350	154	3	is	be	AUX
bracis-28350	154	4	similar	similar	ADJ
bracis-28350	154	5	to	to	ADP
bracis-28350	154	6	hierarchical	hierarchical	ADJ
bracis-28350	154	7	clustering	clustering	NOUN
bracis-28350	154	8	but	but	CCONJ
bracis-28350	154	9	uses	use	VERB
bracis-28350	154	10	different	different	ADJ
bracis-28350	154	11	techniques	technique	NOUN
bracis-28350	154	12	to	to	PART
bracis-28350	154	13	agglomerate	agglomerate	NOUN
bracis-28350	154	14	vertices	vertex	NOUN
bracis-28350	154	15	:	:	PUNCT
bracis-28350	154	16	walktrap	walktrap	NOUN
bracis-28350	154	17	,	,	PUNCT
bracis-28350	154	18	which	which	PRON
bracis-28350	154	19	is	be	AUX
bracis-28350	154	20	based	base	VERB
bracis-28350	154	21	on	on	ADP
bracis-28350	154	22	random	random	ADJ
bracis-28350	154	23	walks	walk	NOUN
bracis-28350	154	24	;	;	PUNCT
bracis-28350	154	25	fast	fast	ADJ
bracis-28350	154	26	greedy	greedy	ADJ
bracis-28350	154	27	based	base	VERB
bracis-28350	154	28	on	on	ADP
bracis-28350	154	29	modularity	modularity	NOUN
bracis-28350	154	30	gain	gain	NOUN
bracis-28350	154	31	,	,	PUNCT
bracis-28350	154	32	and	and	CCONJ
bracis-28350	154	33	edge	edge	NOUN
bracis-28350	154	34	betweenness	betweenness	NOUN
bracis-28350	154	35	based	base	VERB
bracis-28350	154	36	on	on	ADP
bracis-28350	154	37	the	the	DET
bracis-28350	154	38	number	number	NOUN
bracis-28350	154	39	of	of	ADP
bracis-28350	154	40	shortest	short	ADJ
bracis-28350	154	41	paths	path	NOUN
bracis-28350	154	42	through	through	ADP
bracis-28350	154	43	the	the	DET
bracis-28350	154	44	edge	edge	NOUN
bracis-28350	154	45	.	.	PUNCT
bracis-28350	155	1	unlike	unlike	ADP
bracis-28350	155	2	hierarchical	hierarchical	ADJ
bracis-28350	155	3	methods	method	NOUN
bracis-28350	155	4	,	,	PUNCT
bracis-28350	155	5	non	non	ADJ
bracis-28350	155	6	-	-	ADJ
bracis-28350	155	7	hierarchical	hierarchical	ADJ
bracis-28350	155	8	ones	one	NOUN
bracis-28350	155	9	provide	provide	VERB
bracis-28350	155	10	only	only	ADV
bracis-28350	155	11	one	one	NUM
bracis-28350	155	12	hybrid	hybrid	ADJ
bracis-28350	155	13	partition	partition	NOUN
bracis-28350	155	14	,	,	PUNCT
bracis-28350	155	15	constructed	construct	VERB
bracis-28350	155	16	using	use	VERB
bracis-28350	155	17	different	different	ADJ
bracis-28350	155	18	concepts	concept	NOUN
bracis-28350	155	19	.	.	PUNCT
bracis-28350	156	1	louvain	louvain	NOUN
bracis-28350	156	2	and	and	CCONJ
bracis-28350	156	3	infomap	infomap	ADJ
bracis-28350	156	4	are	be	AUX
bracis-28350	156	5	multilevel	multilevel	ADJ
bracis-28350	156	6	methods	method	NOUN
bracis-28350	156	7	and	and	CCONJ
bracis-28350	156	8	differ	differ	VERB
bracis-28350	156	9	in	in	ADP
bracis-28350	156	10	the	the	DET
bracis-28350	156	11	optimization	optimization	NOUN
bracis-28350	156	12	function	function	NOUN
bracis-28350	156	13	used	use	VERB
bracis-28350	156	14	:	:	PUNCT
bracis-28350	156	15	the	the	DET
bracis-28350	156	16	former	former	ADJ
bracis-28350	156	17	is	be	AUX
bracis-28350	156	18	based	base	VERB
bracis-28350	156	19	on	on	ADP
bracis-28350	156	20	fastgreedy	fastgreedy	NOUN
bracis-28350	156	21	and	and	CCONJ
bracis-28350	156	22	the	the	DET
bracis-28350	156	23	latter	latter	ADJ
bracis-28350	156	24	on	on	ADP
bracis-28350	156	25	map	map	NOUN
bracis-28350	156	26	equation	equation	NOUN
bracis-28350	156	27	.	.	PUNCT
bracis-28350	157	1	spinglass	spinglass	PROPN
bracis-28350	157	2	is	be	AUX
bracis-28350	157	3	based	base	VERB
bracis-28350	157	4	on	on	ADP
bracis-28350	157	5	potts	potts	PROPN
bracis-28350	157	6	spin	spin	NOUN
bracis-28350	157	7	glass	glass	NOUN
bracis-28350	157	8	,	,	PUNCT
bracis-28350	157	9	which	which	PRON
bracis-28350	157	10	uses	use	VERB
bracis-28350	157	11	rotation	rotation	NOUN
bracis-28350	157	12	models	model	NOUN
bracis-28350	157	13	to	to	PART
bracis-28350	157	14	perform	perform	VERB
bracis-28350	157	15	clustering	cluster	VERB
bracis-28350	157	16	,	,	PUNCT
bracis-28350	157	17	while	while	SCONJ
bracis-28350	157	18	in	in	ADP
bracis-28350	157	19	label	label	NOUN
bracis-28350	157	20	propagation	propagation	NOUN
bracis-28350	157	21	,	,	PUNCT
bracis-28350	157	22	each	each	DET
bracis-28350	157	23	vertex	vertex	NOUN
bracis-28350	157	24	is	be	AUX
bracis-28350	157	25	assigned	assign	VERB
bracis-28350	157	26	to	to	ADP
bracis-28350	157	27	the	the	DET
bracis-28350	157	28	most	most	ADV
bracis-28350	157	29	frequent	frequent	ADJ
bracis-28350	157	30	label	label	NOUN
bracis-28350	157	31	among	among	ADP
bracis-28350	157	32	its	its	PRON
bracis-28350	157	33	neighbors	neighbor	NOUN
bracis-28350	157	34	.	.	PUNCT
bracis-28350	158	1	3.3	3.3	NUM
bracis-28350	158	2	step	step	NOUN
bracis-28350	158	3	4	4	NUM
bracis-28350	158	4	:	:	PUNCT
bracis-28350	158	5	build	build	VERB
bracis-28350	158	6	hybrid	hybrid	ADJ
bracis-28350	158	7	partitions	partition	NOUN
bracis-28350	158	8	after	after	ADP
bracis-28350	158	9	applying	apply	VERB
bracis-28350	158	10	community	community	NOUN
bracis-28350	158	11	detection	detection	NOUN
bracis-28350	158	12	methods	method	NOUN
bracis-28350	158	13	,	,	PUNCT
bracis-28350	158	14	only	only	ADV
bracis-28350	158	15	one	one	NUM
bracis-28350	158	16	is	be	AUX
bracis-28350	158	17	chosen	choose	VERB
bracis-28350	158	18	to	to	PART
bracis-28350	158	19	generate	generate	VERB
bracis-28350	158	20	hybrid	hybrid	ADJ
bracis-28350	158	21	partitions	partition	NOUN
bracis-28350	158	22	.	.	PUNCT
bracis-28350	159	1	this	this	DET
bracis-28350	159	2	choice	choice	NOUN
bracis-28350	159	3	is	be	AUX
bracis-28350	159	4	performed	perform	VERB
bracis-28350	159	5	using	use	VERB
bracis-28350	159	6	a	a	DET
bracis-28350	159	7	modularity	modularity	NOUN
bracis-28350	159	8	criterion	criterion	NOUN
bracis-28350	159	9	that	that	PRON
bracis-28350	159	10	measures	measure	VERB
bracis-28350	159	11	the	the	DET
bracis-28350	159	12	separation	separation	NOUN
bracis-28350	159	13	among	among	ADP
bracis-28350	159	14	vertices	vertex	NOUN
bracis-28350	159	15	,	,	PUNCT
bracis-28350	159	16	quantifying	quantify	VERB
bracis-28350	159	17	the	the	DET
bracis-28350	159	18	density	density	NOUN
bracis-28350	159	19	of	of	ADP
bracis-28350	159	20	links	link	NOUN
bracis-28350	159	21	within	within	ADP
bracis-28350	159	22	communities	community	NOUN
bracis-28350	159	23	compared	compare	VERB
bracis-28350	159	24	to	to	ADP
bracis-28350	159	25	links	link	NOUN
bracis-28350	159	26	between	between	ADP
bracis-28350	159	27	communities	community	NOUN
bracis-28350	159	28	 	 	SPACE
bracis-28350	160	1	[	[	X
bracis-28350	160	2	18	18	NUM
bracis-28350	160	3	,	,	PUNCT
bracis-28350	160	4	31	31	NUM
bracis-28350	160	5	]	]	PUNCT
bracis-28350	160	6	.	.	PUNCT
bracis-28350	161	1	finally	finally	ADV
bracis-28350	161	2	,	,	PUNCT
bracis-28350	161	3	the	the	DET
bracis-28350	161	4	method	method	NOUN
bracis-28350	161	5	with	with	ADP
bracis-28350	161	6	the	the	DET
bracis-28350	161	7	highest	high	ADJ
bracis-28350	161	8	modularity	modularity	NOUN
bracis-28350	161	9	value	value	NOUN
bracis-28350	161	10	is	be	AUX
bracis-28350	161	11	chosen	choose	VERB
bracis-28350	161	12	.	.	PUNCT
bracis-28350	162	1	as	as	ADP
bracis-28350	162	2	an	an	DET
bracis-28350	162	3	example	example	NOUN
bracis-28350	162	4	,	,	PUNCT
bracis-28350	162	5	consider	consider	VERB
bracis-28350	162	6	that	that	PRON
bracis-28350	162	7	between	between	ADP
bracis-28350	162	8	non	non	ADJ
bracis-28350	162	9	-	-	ADJ
bracis-28350	162	10	hierarchical	hierarchical	ADJ
bracis-28350	162	11	methods	method	NOUN
bracis-28350	162	12	,	,	PUNCT
bracis-28350	162	13	louvain	louvain	NOUN
bracis-28350	162	14	obtained	obtain	VERB
bracis-28350	162	15	the	the	DET
bracis-28350	162	16	highest	high	ADJ
bracis-28350	162	17	modularity	modularity	NOUN
bracis-28350	162	18	value	value	NOUN
bracis-28350	162	19	.	.	PUNCT
bracis-28350	163	1	hence	hence	ADV
bracis-28350	163	2	,	,	PUNCT
bracis-28350	163	3	each	each	DET
bracis-28350	163	4	identified	identify	VERB
bracis-28350	163	5	community	community	NOUN
bracis-28350	163	6	can	can	AUX
bracis-28350	163	7	be	be	AUX
bracis-28350	163	8	considered	consider	VERB
bracis-28350	163	9	a	a	DET
bracis-28350	163	10	cluster	cluster	NOUN
bracis-28350	163	11	of	of	ADP
bracis-28350	163	12	correlated	correlate	VERB
bracis-28350	163	13	labels	label	NOUN
bracis-28350	163	14	.	.	PUNCT
bracis-28350	164	1	then	then	ADV
bracis-28350	164	2	,	,	PUNCT
bracis-28350	164	3	we	we	PRON
bracis-28350	164	4	build	build	VERB
bracis-28350	164	5	a	a	DET
bracis-28350	164	6	corresponding	corresponding	ADJ
bracis-28350	164	7	dataset	dataset	NOUN
bracis-28350	164	8	for	for	ADP
bracis-28350	164	9	each	each	DET
bracis-28350	164	10	cluster	cluster	NOUN
bracis-28350	164	11	using	use	VERB
bracis-28350	164	12	the	the	DET
bracis-28350	164	13	train	train	NOUN
bracis-28350	164	14	instances	instance	NOUN
bracis-28350	164	15	assigned	assign	VERB
bracis-28350	164	16	to	to	ADP
bracis-28350	164	17	the	the	DET
bracis-28350	164	18	labels	label	NOUN
bracis-28350	164	19	of	of	ADP
bracis-28350	164	20	the	the	DET
bracis-28350	164	21	cluster	cluster	NOUN
bracis-28350	164	22	,	,	PUNCT
bracis-28350	164	23	induce	induce	VERB
bracis-28350	164	24	a	a	DET
bracis-28350	164	25	classifier	classifier	NOUN
bracis-28350	164	26	,	,	PUNCT
bracis-28350	164	27	and	and	CCONJ
bracis-28350	164	28	test	test	VERB
bracis-28350	164	29	it	it	PRON
bracis-28350	164	30	in	in	ADP
bracis-28350	164	31	the	the	DET
bracis-28350	164	32	test	test	NOUN
bracis-28350	164	33	set	set	NOUN
bracis-28350	164	34	.	.	PUNCT
bracis-28350	165	1	the	the	DET
bracis-28350	165	2	same	same	ADJ
bracis-28350	165	3	occurs	occur	VERB
bracis-28350	165	4	with	with	ADP
bracis-28350	165	5	hierarchical	hierarchical	ADJ
bracis-28350	165	6	methods	method	NOUN
bracis-28350	165	7	,	,	PUNCT
bracis-28350	165	8	but	but	CCONJ
bracis-28350	165	9	as	as	SCONJ
bracis-28350	165	10	they	they	PRON
bracis-28350	165	11	generate	generate	VERB
bracis-28350	165	12	more	more	ADJ
bracis-28350	165	13	than	than	ADP
bracis-28350	165	14	one	one	NUM
bracis-28350	165	15	hybrid	hybrid	ADJ
bracis-28350	165	16	partition	partition	NOUN
bracis-28350	165	17	,	,	PUNCT
bracis-28350	165	18	we	we	PRON
bracis-28350	165	19	must	must	AUX
bracis-28350	165	20	validate	validate	VERB
bracis-28350	165	21	all	all	DET
bracis-28350	165	22	generated	generate	VERB
bracis-28350	165	23	partitions	partition	NOUN
bracis-28350	165	24	from	from	ADP
bracis-28350	165	25	the	the	DET
bracis-28350	165	26	chosen	choose	VERB
bracis-28350	165	27	community	community	NOUN
bracis-28350	165	28	detection	detection	NOUN
bracis-28350	165	29	method	method	NOUN
bracis-28350	165	30	and	and	CCONJ
bracis-28350	165	31	then	then	ADV
bracis-28350	165	32	choose	choose	VERB
bracis-28350	165	33	only	only	ADV
bracis-28350	165	34	one	one	NUM
bracis-28350	165	35	hybrid	hybrid	ADJ
bracis-28350	165	36	partition	partition	NOUN
bracis-28350	165	37	to	to	PART
bracis-28350	165	38	test	test	VERB
bracis-28350	165	39	.	.	PUNCT
bracis-28350	166	1	3.4	3.4	NUM
bracis-28350	166	2	step	step	NOUN
bracis-28350	166	3	5	5	NUM
bracis-28350	166	4	:	:	PUNCT
bracis-28350	166	5	validate	validate	VERB
bracis-28350	166	6	hybrid	hybrid	ADJ
bracis-28350	166	7	partitions	partition	NOUN
bracis-28350	166	8	this	this	DET
bracis-28350	166	9	step	step	NOUN
bracis-28350	166	10	is	be	AUX
bracis-28350	166	11	executed	execute	VERB
bracis-28350	166	12	only	only	ADV
bracis-28350	166	13	in	in	ADP
bracis-28350	166	14	the	the	DET
bracis-28350	166	15	partitions	partition	NOUN
bracis-28350	166	16	generated	generate	VERB
bracis-28350	166	17	by	by	ADP
bracis-28350	166	18	hierarchical	hierarchical	ADJ
bracis-28350	166	19	community	community	NOUN
bracis-28350	166	20	detection	detection	NOUN
bracis-28350	166	21	methods	method	NOUN
bracis-28350	166	22	since	since	SCONJ
bracis-28350	166	23	these	these	PRON
bracis-28350	166	24	generate	generate	VERB
bracis-28350	166	25	several	several	ADJ
bracis-28350	166	26	hybrid	hybrid	ADJ
bracis-28350	166	27	partitions	partition	NOUN
bracis-28350	166	28	.	.	PUNCT
bracis-28350	167	1	each	each	DET
bracis-28350	167	2	hybrid	hybrid	ADJ
bracis-28350	167	3	partition	partition	NOUN
bracis-28350	167	4	created	create	VERB
bracis-28350	167	5	using	use	VERB
bracis-28350	167	6	hierarchical	hierarchical	ADJ
bracis-28350	167	7	methods	method	NOUN
bracis-28350	167	8	in	in	ADP
bracis-28350	167	9	step	step	NOUN
bracis-28350	167	10	4	4	NUM
bracis-28350	167	11	is	be	AUX
bracis-28350	167	12	now	now	ADV
bracis-28350	167	13	evaluated	evaluate	VERB
bracis-28350	167	14	in	in	ADP
bracis-28350	167	15	a	a	DET
bracis-28350	167	16	validation	validation	NOUN
bracis-28350	167	17	dataset	dataset	NOUN
bracis-28350	167	18	.	.	PUNCT
bracis-28350	168	1	here	here	ADV
bracis-28350	168	2	we	we	PRON
bracis-28350	168	3	used	use	VERB
bracis-28350	168	4	the	the	DET
bracis-28350	168	5	silhouette	silhouette	NOUN
bracis-28350	168	6	coefficient	coefficient	NOUN
bracis-28350	168	7	[	[	X
bracis-28350	168	8	28	28	NUM
bracis-28350	168	9	,	,	PUNCT
bracis-28350	168	10	30	30	NUM
bracis-28350	168	11	]	]	PUNCT
bracis-28350	168	12	cluster	cluster	NOUN
bracis-28350	168	13	validation	validation	NOUN
bracis-28350	168	14	measure	measure	NOUN
bracis-28350	168	15	.	.	PUNCT
bracis-28350	169	1	it	it	PRON
bracis-28350	169	2	measures	measure	VERB
bracis-28350	169	3	the	the	DET
bracis-28350	169	4	quality	quality	NOUN
bracis-28350	169	5	of	of	ADP
bracis-28350	169	6	partitions	partition	NOUN
bracis-28350	169	7	based	base	VERB
bracis-28350	169	8	on	on	ADP
bracis-28350	169	9	the	the	DET
bracis-28350	169	10	proximity	proximity	NOUN
bracis-28350	169	11	between	between	ADP
bracis-28350	169	12	,	,	PUNCT
bracis-28350	169	13	in	in	ADP
bracis-28350	169	14	this	this	DET
bracis-28350	169	15	case	case	NOUN
bracis-28350	169	16	,	,	PUNCT
bracis-28350	169	17	the	the	DET
bracis-28350	169	18	labels	label	NOUN
bracis-28350	169	19	of	of	ADP
bracis-28350	169	20	a	a	DET
bracis-28350	169	21	particular	particular	ADJ
bracis-28350	169	22	cluster	cluster	NOUN
bracis-28350	169	23	and	and	CCONJ
bracis-28350	169	24	the	the	DET
bracis-28350	169	25	distance	distance	NOUN
bracis-28350	169	26	between	between	ADP
bracis-28350	169	27	them	they	PRON
bracis-28350	169	28	and	and	CCONJ
bracis-28350	169	29	the	the	DET
bracis-28350	169	30	closest	close	ADJ
bracis-28350	169	31	cluster	cluster	NOUN
bracis-28350	169	32	.	.	PUNCT
bracis-28350	170	1	the	the	DET
bracis-28350	170	2	partition	partition	NOUN
bracis-28350	170	3	with	with	ADP
bracis-28350	170	4	the	the	DET
bracis-28350	170	5	highest	high	ADJ
bracis-28350	170	6	silhouette	silhouette	NOUN
bracis-28350	170	7	coefficient	coefficient	NOUN
bracis-28350	170	8	is	be	AUX
bracis-28350	170	9	then	then	ADV
bracis-28350	170	10	evaluated	evaluate	VERB
bracis-28350	170	11	in	in	ADP
bracis-28350	170	12	a	a	DET
bracis-28350	170	13	test	test	NOUN
bracis-28350	170	14	dataset	dataset	NOUN
bracis-28350	170	15	.	.	PUNCT
bracis-28350	171	1	3.5	3.5	NUM
bracis-28350	171	2	step	step	NOUN
bracis-28350	171	3	6	6	NUM
bracis-28350	171	4	:	:	PUNCT
bracis-28350	171	5	testing	test	VERB
bracis-28350	171	6	hybrid	hybrid	ADJ
bracis-28350	171	7	partitions	partition	NOUN
bracis-28350	171	8	finally	finally	ADV
bracis-28350	171	9	,	,	PUNCT
bracis-28350	171	10	the	the	DET
bracis-28350	171	11	last	last	ADJ
bracis-28350	171	12	step	step	NOUN
bracis-28350	171	13	is	be	AUX
bracis-28350	171	14	to	to	PART
bracis-28350	171	15	test	test	VERB
bracis-28350	171	16	the	the	DET
bracis-28350	171	17	best	well	ADV
bracis-28350	171	18	-	-	PUNCT
bracis-28350	171	19	validated	validate	VERB
bracis-28350	171	20	hybrid	hybrid	ADJ
bracis-28350	171	21	partition	partition	NOUN
bracis-28350	171	22	.	.	PUNCT
bracis-28350	172	1	as	as	SCONJ
bracis-28350	172	2	already	already	ADV
bracis-28350	172	3	explained	explain	VERB
bracis-28350	172	4	,	,	PUNCT
bracis-28350	172	5	the	the	DET
bracis-28350	172	6	clus	clus	ADJ
bracis-28350	172	7	framework	framework	NOUN
bracis-28350	172	8	was	be	AUX
bracis-28350	172	9	used	use	VERB
bracis-28350	172	10	in	in	ADP
bracis-28350	172	11	our	our	PRON
bracis-28350	172	12	experiments	experiment	NOUN
bracis-28350	172	13	,	,	PUNCT
bracis-28350	172	14	configured	configure	VERB
bracis-28350	172	15	with	with	ADP
bracis-28350	172	16	the	the	DET
bracis-28350	172	17	hyper	hyper	NOUN
bracis-28350	172	18	-	-	NOUN
bracis-28350	172	19	parameters	parameter	NOUN
bracis-28350	172	20	listed	list	VERB
bracis-28350	172	21	below	below	ADV
bracis-28350	172	22	.	.	PUNCT
bracis-28350	173	1	for	for	ADP
bracis-28350	173	2	a	a	DET
bracis-28350	173	3	detailed	detailed	ADJ
bracis-28350	173	4	explanation	explanation	NOUN
bracis-28350	173	5	of	of	ADP
bracis-28350	173	6	clus	clus	NOUN
bracis-28350	173	7	and	and	CCONJ
bracis-28350	173	8	its	its	PRON
bracis-28350	173	9	hyper	hyper	NOUN
bracis-28350	173	10	-	-	NOUN
bracis-28350	173	11	parameters	parameter	NOUN
bracis-28350	173	12	,	,	PUNCT
bracis-28350	173	13	the	the	DET
bracis-28350	173	14	reader	reader	NOUN
bracis-28350	173	15	can	can	AUX
bracis-28350	173	16	consult	consult	VERB
bracis-28350	173	17	the	the	DET
bracis-28350	173	18	clus	clus	ADJ
bracis-28350	173	19	webpagefootnote	webpagefootnote	NOUN
bracis-28350	173	20	1	1	NUM
bracis-28350	173	21	.	.	PUNCT
bracis-28350	173	22	general	general	ADJ
bracis-28350	173	23	:	:	PUNCT
bracis-28350	173	24	compatibility	compatibility	NOUN
bracis-28350	173	25	=	=	SYM
bracis-28350	173	26	mlj08	mlj08	PROPN
bracis-28350	173	27	attributes	attribute	VERB
bracis-28350	173	28	:	:	PUNCT
bracis-28350	173	29	reducememorynominalattrs	reducememorynominalattrs	NOUN
bracis-28350	173	30	=	=	PUNCT
bracis-28350	174	1	yes	yes	INTJ
bracis-28350	174	2	and	and	CCONJ
bracis-28350	174	3	weights	weight	NOUN
bracis-28350	174	4	=	=	SYM
bracis-28350	174	5	1	1	NUM
bracis-28350	174	6	tree	tree	NOUN
bracis-28350	174	7	:	:	PUNCT
bracis-28350	174	8	heuristic	heuristic	ADJ
bracis-28350	174	9	=	=	SYM
bracis-28350	174	10	variancereduction	variancereduction	NOUN
bracis-28350	174	11	and	and	CCONJ
bracis-28350	174	12	ftest	ft	ADJ
bracis-28350	174	13	=	=	PUNCT
bracis-28350	175	1	[	[	X
bracis-28350	175	2	0.001,0.005,0.01,0.05,0.1,0.125	0.001,0.005,0.01,0.05,0.1,0.125	X
bracis-28350	175	3	]	]	X
bracis-28350	175	4	model	model	NOUN
bracis-28350	175	5	:	:	PUNCT
bracis-28350	175	6	minimalweight	minimalweight	ADJ
bracis-28350	175	7	=	=	SYM
bracis-28350	175	8	5.0	5.0	NUM
bracis-28350	175	9	output	output	NOUN
bracis-28350	175	10	:	:	PUNCT
bracis-28350	175	11	writepredictions	writeprediction	NOUN
bracis-28350	175	12	=	=	PRON
bracis-28350	175	13	test	test	NOUN
bracis-28350	175	14	4	4	NUM
bracis-28350	175	15	experimental	experimental	ADJ
bracis-28350	175	16	setup	setup	NOUN
bracis-28350	175	17	we	we	PRON
bracis-28350	175	18	evaluated	evaluate	VERB
bracis-28350	175	19	our	our	PRON
bracis-28350	175	20	approach	approach	NOUN
bracis-28350	175	21	using	use	VERB
bracis-28350	175	22	20	20	NUM
bracis-28350	175	23	multi	multi	ADJ
bracis-28350	175	24	-	-	ADJ
bracis-28350	175	25	label	label	ADJ
bracis-28350	175	26	datasets	dataset	NOUN
bracis-28350	175	27	from	from	ADP
bracis-28350	175	28	five	five	NUM
bracis-28350	175	29	different	different	ADJ
bracis-28350	175	30	application	application	NOUN
bracis-28350	175	31	domains	domain	NOUN
bracis-28350	175	32	,	,	PUNCT
bracis-28350	175	33	which	which	PRON
bracis-28350	175	34	were	be	AUX
bracis-28350	175	35	chosen	choose	VERB
bracis-28350	175	36	to	to	PART
bracis-28350	175	37	diversify	diversify	VERB
bracis-28350	175	38	the	the	DET
bracis-28350	175	39	domain	domain	NOUN
bracis-28350	175	40	and	and	CCONJ
bracis-28350	175	41	number	number	NOUN
bracis-28350	175	42	of	of	ADP
bracis-28350	175	43	labels	label	NOUN
bracis-28350	175	44	.	.	PUNCT
bracis-28350	176	1	their	their	PRON
bracis-28350	176	2	characteristics	characteristic	NOUN
bracis-28350	176	3	are	be	AUX
bracis-28350	176	4	summarized	summarize	VERB
bracis-28350	176	5	in	in	ADP
bracis-28350	176	6	table	table	NOUN
bracis-28350	176	7	 	 	SPACE
bracis-28350	176	8	1	1	NUM
bracis-28350	176	9	with	with	ADP
bracis-28350	176	10	the	the	DET
bracis-28350	176	11	name	name	NOUN
bracis-28350	176	12	of	of	ADP
bracis-28350	176	13	each	each	DET
bracis-28350	176	14	dataset	dataset	NOUN
bracis-28350	176	15	,	,	PUNCT
bracis-28350	176	16	domain	domain	NOUN
bracis-28350	176	17	,	,	PUNCT
bracis-28350	176	18	the	the	DET
bracis-28350	176	19	total	total	ADJ
bracis-28350	176	20	number	number	NOUN
bracis-28350	176	21	of	of	ADP
bracis-28350	176	22	instances	instance	NOUN
bracis-28350	176	23	,	,	PUNCT
bracis-28350	176	24	attributes	attribute	VERB
bracis-28350	176	25	,	,	PUNCT
bracis-28350	176	26	and	and	CCONJ
bracis-28350	176	27	labels	label	NOUN
bracis-28350	176	28	.	.	PUNCT
bracis-28350	177	1	cardinality	cardinality	NOUN
bracis-28350	177	2	is	be	AUX
bracis-28350	177	3	the	the	DET
bracis-28350	177	4	average	average	NOUN
bracis-28350	177	5	of	of	ADP
bracis-28350	177	6	labels	label	NOUN
bracis-28350	177	7	per	per	ADP
bracis-28350	177	8	instance	instance	NOUN
bracis-28350	177	9	;	;	PUNCT
bracis-28350	177	10	density	density	NOUN
bracis-28350	177	11	is	be	AUX
bracis-28350	177	12	the	the	DET
bracis-28350	177	13	average	average	ADJ
bracis-28350	177	14	frequency	frequency	NOUN
bracis-28350	177	15	of	of	ADP
bracis-28350	177	16	labels	label	NOUN
bracis-28350	177	17	,	,	PUNCT
bracis-28350	177	18	and	and	CCONJ
bracis-28350	177	19	tcs	tcs	NOUN
bracis-28350	177	20	(	(	PUNCT
bracis-28350	177	21	theoretical	theoretical	ADJ
bracis-28350	177	22	complexity	complexity	NOUN
bracis-28350	177	23	score	score	NOUN
bracis-28350	177	24	)	)	PUNCT
bracis-28350	177	25	 	 	SPACE
bracis-28350	178	1	[	[	X
bracis-28350	178	2	5	5	NUM
bracis-28350	178	3	]	]	PUNCT
bracis-28350	178	4	is	be	AUX
bracis-28350	178	5	a	a	DET
bracis-28350	178	6	measure	measure	NOUN
bracis-28350	178	7	that	that	PRON
bracis-28350	178	8	computes	compute	VERB
bracis-28350	178	9	how	how	SCONJ
bracis-28350	178	10	difficult	difficult	ADJ
bracis-28350	178	11	it	it	PRON
bracis-28350	178	12	is	be	AUX
bracis-28350	178	13	to	to	PART
bracis-28350	178	14	learn	learn	VERB
bracis-28350	178	15	a	a	DET
bracis-28350	178	16	predictive	predictive	ADJ
bracis-28350	178	17	model	model	NOUN
bracis-28350	178	18	from	from	ADP
bracis-28350	178	19	the	the	DET
bracis-28350	178	20	dataset	dataset	NOUN
bracis-28350	178	21	.	.	PUNCT
bracis-28350	179	1	table	table	NOUN
bracis-28350	179	2	1	1	NUM
bracis-28350	179	3	.	.	PUNCT
bracis-28350	180	1	characteristics	characteristic	NOUN
bracis-28350	180	2	of	of	ADP
bracis-28350	180	3	the	the	DET
bracis-28350	180	4	datasets.full	datasets.full	NUM
bracis-28350	180	5	size	size	NOUN
bracis-28350	180	6	table	table	NOUN
bracis-28350	180	7	our	our	PRON
bracis-28350	180	8	source	source	NOUN
bracis-28350	180	9	code	code	NOUN
bracis-28350	180	10	and	and	CCONJ
bracis-28350	180	11	all	all	DET
bracis-28350	180	12	necessary	necessary	ADJ
bracis-28350	180	13	materials	material	NOUN
bracis-28350	180	14	to	to	PART
bracis-28350	180	15	replicate	replicate	VERB
bracis-28350	180	16	the	the	DET
bracis-28350	180	17	experiments	experiment	NOUN
bracis-28350	180	18	are	be	AUX
bracis-28350	180	19	freely	freely	ADV
bracis-28350	180	20	availablefootnote	availablefootnote	ADJ
bracis-28350	180	21	2	2	NUM
bracis-28350	180	22	.	.	PUNCT
bracis-28350	181	1	we	we	PRON
bracis-28350	181	2	executed	execute	VERB
bracis-28350	181	3	our	our	PRON
bracis-28350	181	4	experiments	experiment	NOUN
bracis-28350	181	5	within	within	ADP
bracis-28350	181	6	the	the	DET
bracis-28350	181	7	10	10	NUM
bracis-28350	181	8	-	-	ADJ
bracis-28350	181	9	fold	fold	ADJ
bracis-28350	181	10	cross	cross	ADJ
bracis-28350	181	11	-	-	ADJ
bracis-28350	181	12	validation	validation	ADJ
bracis-28350	181	13	strategy	strategy	NOUN
bracis-28350	181	14	,	,	PUNCT
bracis-28350	181	15	using	use	VERB
bracis-28350	181	16	an	an	DET
bracis-28350	181	17	iterative	iterative	NOUN
bracis-28350	181	18	stratification	stratification	NOUN
bracis-28350	181	19	algorithm	algorithm	NOUN
bracis-28350	181	20	proposed	propose	VERB
bracis-28350	181	21	for	for	ADP
bracis-28350	181	22	multi	multi	ADJ
bracis-28350	181	23	-	-	ADJ
bracis-28350	181	24	label	label	ADJ
bracis-28350	181	25	data	datum	NOUN
bracis-28350	181	26	 	 	SPACE
bracis-28350	181	27	[	[	X
bracis-28350	181	28	29	29	NUM
bracis-28350	181	29	]	]	PUNCT
bracis-28350	181	30	.	.	PUNCT
bracis-28350	182	1	our	our	PRON
bracis-28350	182	2	proposal	proposal	NOUN
bracis-28350	182	3	was	be	AUX
bracis-28350	182	4	compared	compare	VERB
bracis-28350	182	5	with	with	ADP
bracis-28350	182	6	three	three	NUM
bracis-28350	182	7	approaches	approach	NOUN
bracis-28350	182	8	to	to	PART
bracis-28350	182	9	generate	generate	VERB
bracis-28350	182	10	partitions	partition	NOUN
bracis-28350	182	11	:	:	PUNCT
bracis-28350	182	12	local	local	ADJ
bracis-28350	182	13	,	,	PUNCT
bracis-28350	182	14	global	global	ADJ
bracis-28350	182	15	,	,	PUNCT
bracis-28350	182	16	and	and	CCONJ
bracis-28350	182	17	random	random	ADJ
bracis-28350	182	18	.	.	PUNCT
bracis-28350	183	1	global	global	ADJ
bracis-28350	183	2	and	and	CCONJ
bracis-28350	183	3	local	local	ADJ
bracis-28350	183	4	partitions	partition	NOUN
bracis-28350	183	5	were	be	AUX
bracis-28350	183	6	already	already	ADV
bracis-28350	183	7	explained	explain	VERB
bracis-28350	183	8	in	in	ADP
bracis-28350	183	9	sect	sect	NOUN
bracis-28350	183	10	.	.	PUNCT
bracis-28350	183	11	 	 	SPACE
bracis-28350	184	1	1	1	X
bracis-28350	184	2	.	.	X
bracis-28350	184	3	random	random	ADJ
bracis-28350	184	4	partitions	partition	NOUN
bracis-28350	184	5	were	be	AUX
bracis-28350	184	6	generated	generate	VERB
bracis-28350	184	7	similarly	similarly	ADV
bracis-28350	184	8	to	to	ADP
bracis-28350	184	9	hybrid	hybrid	ADJ
bracis-28350	184	10	partitions	partition	NOUN
bracis-28350	184	11	.	.	PUNCT
bracis-28350	185	1	the	the	DET
bracis-28350	185	2	main	main	ADJ
bracis-28350	185	3	difference	difference	NOUN
bracis-28350	185	4	is	be	AUX
bracis-28350	185	5	in	in	ADP
bracis-28350	185	6	step-2	step-2	PROPN
bracis-28350	185	7	:	:	PUNCT
bracis-28350	185	8	given	give	VERB
bracis-28350	185	9	an	an	DET
bracis-28350	185	10	adjacency	adjacency	NOUN
bracis-28350	185	11	matrixfootnote	matrixfootnote	NOUN
bracis-28350	185	12	3	3	NUM
bracis-28350	185	13	obtained	obtain	VERB
bracis-28350	185	14	from	from	ADP
bracis-28350	185	15	the	the	DET
bracis-28350	185	16	label	label	NOUN
bracis-28350	185	17	space	space	NOUN
bracis-28350	185	18	,	,	PUNCT
bracis-28350	185	19	k	k	PROPN
bracis-28350	185	20	-	-	PUNCT
bracis-28350	185	21	nn	nn	PROPN
bracis-28350	185	22	sparsification	sparsification	NOUN
bracis-28350	185	23	is	be	AUX
bracis-28350	185	24	executed	execute	VERB
bracis-28350	185	25	with	with	ADP
bracis-28350	185	26	a	a	DET
bracis-28350	185	27	random	random	ADJ
bracis-28350	185	28	chosen	choose	VERB
bracis-28350	185	29	 	 	SPACE
bracis-28350	185	30	k	k	NOUN
bracis-28350	185	31	 	 	SPACE
bracis-28350	185	32	value	value	NOUN
bracis-28350	185	33	.	.	PUNCT
bracis-28350	186	1	to	to	PART
bracis-28350	186	2	evaluate	evaluate	VERB
bracis-28350	186	3	the	the	DET
bracis-28350	186	4	results	result	NOUN
bracis-28350	186	5	,	,	PUNCT
bracis-28350	186	6	we	we	PRON
bracis-28350	186	7	focused	focus	VERB
bracis-28350	186	8	mainly	mainly	ADV
bracis-28350	186	9	on	on	ADP
bracis-28350	186	10	two	two	NUM
bracis-28350	186	11	multi	multi	ADJ
bracis-28350	186	12	-	-	ADJ
bracis-28350	186	13	label	label	ADJ
bracis-28350	186	14	measures	measure	NOUN
bracis-28350	186	15	:	:	PUNCT
bracis-28350	186	16	a	a	X
bracis-28350	186	17	)	)	PUNCT
bracis-28350	186	18	macro	macro	NOUN
bracis-28350	186	19	-	-	NOUN
bracis-28350	186	20	f1	f1	NOUN
bracis-28350	186	21	(	(	PUNCT
bracis-28350	186	22	maf1	maf1	PROPN
bracis-28350	186	23	)	)	PUNCT
bracis-28350	186	24	,	,	PUNCT
bracis-28350	186	25	which	which	PRON
bracis-28350	186	26	is	be	AUX
bracis-28350	186	27	the	the	DET
bracis-28350	186	28	harmonic	harmonic	ADJ
bracis-28350	186	29	mean	mean	NOUN
bracis-28350	186	30	of	of	ADP
bracis-28350	186	31	the	the	DET
bracis-28350	186	32	macro	macro	NOUN
bracis-28350	186	33	-	-	NOUN
bracis-28350	186	34	precision	precision	NOUN
bracis-28350	186	35	(	(	PUNCT
bracis-28350	186	36	map	map	NOUN
bracis-28350	186	37	)	)	PUNCT
bracis-28350	186	38	and	and	CCONJ
bracis-28350	186	39	macro	macro	NOUN
bracis-28350	186	40	-	-	NOUN
bracis-28350	186	41	recall	recall	NOUN
bracis-28350	186	42	(	(	PUNCT
bracis-28350	186	43	mar	mar	PROPN
bracis-28350	186	44	)	)	PUNCT
bracis-28350	186	45	,	,	PUNCT
bracis-28350	186	46	and	and	CCONJ
bracis-28350	186	47	b	b	X
bracis-28350	186	48	)	)	PUNCT
bracis-28350	186	49	missing	miss	VERB
bracis-28350	186	50	label	label	NOUN
bracis-28350	186	51	problem	problem	NOUN
bracis-28350	186	52	(	(	PUNCT
bracis-28350	186	53	mlp	mlp	NOUN
bracis-28350	186	54	)	)	PUNCT
bracis-28350	186	55	.	.	PUNCT
bracis-28350	187	1	maf1	maf1	PROPN
bracis-28350	187	2	is	be	AUX
bracis-28350	187	3	a	a	DET
bracis-28350	187	4	good	good	ADJ
bracis-28350	187	5	measure	measure	NOUN
bracis-28350	187	6	for	for	ADP
bracis-28350	187	7	multi	multi	ADJ
bracis-28350	187	8	-	-	ADJ
bracis-28350	187	9	label	label	ADJ
bracis-28350	187	10	problems	problem	NOUN
bracis-28350	187	11	since	since	SCONJ
bracis-28350	187	12	it	it	PRON
bracis-28350	187	13	considers	consider	VERB
bracis-28350	187	14	the	the	DET
bracis-28350	187	15	individual	individual	ADJ
bracis-28350	187	16	performances	performance	NOUN
bracis-28350	187	17	in	in	ADP
bracis-28350	187	18	each	each	DET
bracis-28350	187	19	class	class	NOUN
bracis-28350	187	20	.	.	PUNCT
bracis-28350	188	1	furthermore	furthermore	ADV
bracis-28350	188	2	,	,	PUNCT
bracis-28350	188	3	its	its	PRON
bracis-28350	188	4	analysis	analysis	NOUN
bracis-28350	188	5	is	be	AUX
bracis-28350	188	6	complemented	complement	VERB
bracis-28350	188	7	by	by	ADP
bracis-28350	188	8	mlp	mlp	PROPN
bracis-28350	188	9	,	,	PUNCT
bracis-28350	188	10	which	which	PRON
bracis-28350	188	11	calculates	calculate	VERB
bracis-28350	188	12	the	the	DET
bracis-28350	188	13	proportion	proportion	NOUN
bracis-28350	188	14	of	of	ADP
bracis-28350	188	15	labels	label	NOUN
bracis-28350	188	16	that	that	PRON
bracis-28350	188	17	are	be	AUX
bracis-28350	188	18	never	never	ADV
bracis-28350	188	19	predicted	predict	VERB
bracis-28350	188	20	 	 	SPACE
bracis-28350	189	1	[	[	X
bracis-28350	189	2	26	26	NUM
bracis-28350	189	3	]	]	PUNCT
bracis-28350	189	4	.	.	PUNCT
bracis-28350	190	1	analyzing	analyze	VERB
bracis-28350	190	2	the	the	DET
bracis-28350	190	3	results	result	NOUN
bracis-28350	190	4	with	with	ADP
bracis-28350	190	5	the	the	DET
bracis-28350	190	6	mlp	mlp	NOUN
bracis-28350	190	7	measure	measure	NOUN
bracis-28350	190	8	is	be	AUX
bracis-28350	190	9	important	important	ADJ
bracis-28350	190	10	since	since	SCONJ
bracis-28350	190	11	traditional	traditional	ADJ
bracis-28350	190	12	multi	multi	ADJ
bracis-28350	190	13	-	-	ADJ
bracis-28350	190	14	label	label	ADJ
bracis-28350	190	15	measures	measure	NOUN
bracis-28350	190	16	can	can	AUX
bracis-28350	190	17	not	not	PART
bracis-28350	190	18	correctly	correctly	ADV
bracis-28350	190	19	identify	identify	VERB
bracis-28350	190	20	when	when	SCONJ
bracis-28350	190	21	some	some	DET
bracis-28350	190	22	individual	individual	ADJ
bracis-28350	190	23	labels	label	NOUN
bracis-28350	190	24	are	be	AUX
bracis-28350	190	25	not	not	PART
bracis-28350	190	26	correctly	correctly	ADV
bracis-28350	190	27	predicted	predict	VERB
bracis-28350	190	28	for	for	ADP
bracis-28350	190	29	any	any	DET
bracis-28350	190	30	given	give	VERB
bracis-28350	190	31	instance	instance	NOUN
bracis-28350	190	32	.	.	PUNCT
bracis-28350	191	1	however	however	ADV
bracis-28350	191	2	,	,	PUNCT
bracis-28350	191	3	it	it	PRON
bracis-28350	191	4	is	be	AUX
bracis-28350	191	5	possible	possible	ADJ
bracis-28350	191	6	to	to	PART
bracis-28350	191	7	identify	identify	VERB
bracis-28350	191	8	the	the	DET
bracis-28350	191	9	predictive	predictive	ADJ
bracis-28350	191	10	performance	performance	NOUN
bracis-28350	191	11	of	of	ADP
bracis-28350	191	12	each	each	DET
bracis-28350	191	13	label	label	NOUN
bracis-28350	191	14	for	for	ADP
bracis-28350	191	15	each	each	DET
bracis-28350	191	16	instance	instance	NOUN
bracis-28350	191	17	individually	individually	ADV
bracis-28350	191	18	.	.	PUNCT
bracis-28350	192	1	thus	thus	ADV
bracis-28350	192	2	,	,	PUNCT
bracis-28350	192	3	mlp	mlp	PROPN
bracis-28350	192	4	is	be	AUX
bracis-28350	192	5	an	an	DET
bracis-28350	192	6	important	important	ADJ
bracis-28350	192	7	measure	measure	NOUN
bracis-28350	192	8	to	to	PART
bracis-28350	192	9	identify	identify	VERB
bracis-28350	192	10	labels	label	NOUN
bracis-28350	192	11	the	the	DET
bracis-28350	192	12	classifiers	classifier	NOUN
bracis-28350	192	13	could	could	AUX
bracis-28350	192	14	not	not	PART
bracis-28350	192	15	learn	learn	VERB
bracis-28350	192	16	and	and	CCONJ
bracis-28350	192	17	thus	thus	ADV
bracis-28350	192	18	are	be	AUX
bracis-28350	192	19	never	never	ADV
bracis-28350	192	20	predicted	predict	VERB
bracis-28350	192	21	.	.	PUNCT
bracis-28350	193	1	equations	equation	NOUN
bracis-28350	193	2	 	 	SPACE
bracis-28350	193	3	3	3	NUM
bracis-28350	193	4	,	,	PUNCT
bracis-28350	193	5	4	4	NUM
bracis-28350	193	6	,	,	PUNCT
bracis-28350	193	7	5	5	NUM
bracis-28350	193	8	,	,	PUNCT
bracis-28350	193	9	and	and	CCONJ
bracis-28350	193	10	6	6	NUM
bracis-28350	193	11	show	show	VERB
bracis-28350	193	12	the	the	DET
bracis-28350	193	13	evaluation	evaluation	NOUN
bracis-28350	193	14	measures	measure	NOUN
bracis-28350	193	15	used	use	VERB
bracis-28350	193	16	in	in	ADP
bracis-28350	193	17	the	the	DET
bracis-28350	193	18	experiments	experiment	NOUN
bracis-28350	193	19	where	where	SCONJ
bracis-28350	193	20	:	:	PUNCT
bracis-28350	193	21	\(\mathcal	\(\mathcal	ADJ
bracis-28350	193	22	{	{	PUNCT
bracis-28350	193	23	l}\	l}\	PROPN
bracis-28350	193	24	)	)	PUNCT
bracis-28350	193	25	is	be	AUX
bracis-28350	193	26	the	the	DET
bracis-28350	193	27	set	set	NOUN
bracis-28350	193	28	of	of	ADP
bracis-28350	193	29	all	all	DET
bracis-28350	193	30	labels	label	NOUN
bracis-28350	193	31	in	in	ADP
bracis-28350	193	32	the	the	DET
bracis-28350	193	33	label	label	NOUN
bracis-28350	193	34	space	space	NOUN
bracis-28350	193	35	,	,	PUNCT
bracis-28350	193	36	and	and	CCONJ
bracis-28350	193	37	\(tp_{j}\	\(tp_{j}\	NUM
bracis-28350	193	38	)	)	PUNCT
bracis-28350	193	39	,	,	PUNCT
bracis-28350	193	40	\(fp_{j}\	\(fp_{j}\	PROPN
bracis-28350	193	41	)	)	PUNCT
bracis-28350	193	42	and	and	CCONJ
bracis-28350	193	43	\(fn_{j}\	\(fn_{j}\	NUM
bracis-28350	193	44	)	)	PUNCT
bracis-28350	193	45	are	be	AUX
bracis-28350	193	46	,	,	PUNCT
bracis-28350	193	47	respectively	respectively	ADV
bracis-28350	193	48	,	,	PUNCT
bracis-28350	193	49	the	the	DET
bracis-28350	193	50	number	number	NOUN
bracis-28350	193	51	of	of	ADP
bracis-28350	193	52	true	true	ADJ
bracis-28350	193	53	positives	positive	NOUN
bracis-28350	193	54	,	,	PUNCT
bracis-28350	193	55	false	false	ADJ
bracis-28350	193	56	positives	positive	NOUN
bracis-28350	193	57	,	,	PUNCT
bracis-28350	193	58	and	and	CCONJ
bracis-28350	193	59	true	true	ADJ
bracis-28350	193	60	negatives	negative	NOUN
bracis-28350	193	61	for	for	ADP
bracis-28350	193	62	class	class	NOUN
bracis-28350	193	63	\(y_j\	\(y_j\	NOUN
bracis-28350	193	64	)	)	PUNCT
bracis-28350	193	65	.	.	PUNCT
bracis-28350	194	1	5	5	NUM
bracis-28350	194	2	results	result	NOUN
bracis-28350	194	3	,	,	PUNCT
bracis-28350	194	4	analysis	analysis	NOUN
bracis-28350	194	5	and	and	CCONJ
bracis-28350	194	6	 	 	SPACE
bracis-28350	194	7	discussion	discussion	NOUN
bracis-28350	194	8	we	we	PRON
bracis-28350	194	9	generated	generate	VERB
bracis-28350	194	10	20	20	NUM
bracis-28350	194	11	different	different	ADJ
bracis-28350	194	12	variations	variation	NOUN
bracis-28350	194	13	of	of	ADP
bracis-28350	194	14	our	our	PRON
bracis-28350	194	15	proposal	proposal	NOUN
bracis-28350	194	16	(	(	PUNCT
bracis-28350	194	17	table	table	NOUN
bracis-28350	194	18	 	 	SPACE
bracis-28350	194	19	2	2	NUM
bracis-28350	194	20	)	)	PUNCT
bracis-28350	194	21	.	.	PUNCT
bracis-28350	195	1	considering	consider	VERB
bracis-28350	195	2	k	k	PROPN
bracis-28350	195	3	-	-	PUNCT
bracis-28350	195	4	nn	nn	PROPN
bracis-28350	195	5	sparsification	sparsification	NOUN
bracis-28350	195	6	,	,	PUNCT
bracis-28350	195	7	we	we	PRON
bracis-28350	195	8	experimented	experiment	VERB
bracis-28350	195	9	three	three	NUM
bracis-28350	195	10	values	value	NOUN
bracis-28350	195	11	for	for	ADP
bracis-28350	195	12	k	k	PROPN
bracis-28350	195	13	(	(	PUNCT
bracis-28350	195	14	k	k	NOUN
bracis-28350	195	15	=	=	SYM
bracis-28350	195	16	1	1	NUM
bracis-28350	195	17	,	,	PUNCT
bracis-28350	195	18	k	k	NOUN
bracis-28350	195	19	=	=	SYM
bracis-28350	195	20	2	2	NUM
bracis-28350	195	21	and	and	CCONJ
bracis-28350	195	22	k	k	NOUN
bracis-28350	195	23	=	=	NOUN
bracis-28350	195	24	3	3	NUM
bracis-28350	195	25	)	)	PUNCT
bracis-28350	195	26	.	.	PUNCT
bracis-28350	196	1	considering	consider	VERB
bracis-28350	196	2	threshold	threshold	NOUN
bracis-28350	196	3	sparsification	sparsification	NOUN
bracis-28350	196	4	,	,	PUNCT
bracis-28350	196	5	we	we	PRON
bracis-28350	196	6	considered	consider	VERB
bracis-28350	196	7	two	two	NUM
bracis-28350	196	8	alternatives	alternative	NOUN
bracis-28350	196	9	:	:	PUNCT
bracis-28350	196	10	t0	t0	NOUN
bracis-28350	196	11	,	,	PUNCT
bracis-28350	196	12	which	which	PRON
bracis-28350	196	13	cuts	cut	VERB
bracis-28350	196	14	only	only	ADV
bracis-28350	196	15	the	the	DET
bracis-28350	196	16	self	self	NOUN
bracis-28350	196	17	-	-	PUNCT
bracis-28350	196	18	loops	loop	NOUN
bracis-28350	196	19	from	from	ADP
bracis-28350	196	20	the	the	DET
bracis-28350	196	21	graphs	graph	NOUN
bracis-28350	196	22	,	,	PUNCT
bracis-28350	196	23	and	and	CCONJ
bracis-28350	196	24	t1	t1	NOUN
bracis-28350	196	25	,	,	PUNCT
bracis-28350	196	26	which	which	PRON
bracis-28350	196	27	cuts	cut	VERB
bracis-28350	196	28	10	10	NUM
bracis-28350	196	29	%	%	NOUN
bracis-28350	196	30	of	of	ADP
bracis-28350	196	31	edges	edge	NOUN
bracis-28350	196	32	from	from	ADP
bracis-28350	196	33	the	the	DET
bracis-28350	196	34	graphs	graph	NOUN
bracis-28350	196	35	.	.	PUNCT
bracis-28350	197	1	table	table	NOUN
bracis-28350	197	2	 	 	SPACE
bracis-28350	197	3	2	2	NUM
bracis-28350	197	4	also	also	ADV
bracis-28350	197	5	shows	show	VERB
bracis-28350	197	6	the	the	DET
bracis-28350	197	7	global	global	ADJ
bracis-28350	197	8	and	and	CCONJ
bracis-28350	197	9	local	local	ADJ
bracis-28350	197	10	methods	method	NOUN
bracis-28350	197	11	and	and	CCONJ
bracis-28350	197	12	two	two	NUM
bracis-28350	197	13	variations	variation	NOUN
bracis-28350	197	14	of	of	ADP
bracis-28350	197	15	random	random	ADJ
bracis-28350	197	16	methods	method	NOUN
bracis-28350	197	17	,	,	PUNCT
bracis-28350	197	18	one	one	NOUN
bracis-28350	197	19	using	use	VERB
bracis-28350	197	20	hierarchical	hierarchical	ADJ
bracis-28350	197	21	community	community	NOUN
bracis-28350	197	22	detection	detection	NOUN
bracis-28350	197	23	methods	method	NOUN
bracis-28350	197	24	and	and	CCONJ
bracis-28350	197	25	another	another	PRON
bracis-28350	197	26	using	use	VERB
bracis-28350	197	27	non	non	ADJ
bracis-28350	197	28	-	-	ADJ
bracis-28350	197	29	hierarchical	hierarchical	ADJ
bracis-28350	197	30	community	community	NOUN
bracis-28350	197	31	detection	detection	NOUN
bracis-28350	197	32	methods	method	NOUN
bracis-28350	197	33	.	.	PUNCT
bracis-28350	198	1	table	table	NOUN
bracis-28350	198	2	2	2	NUM
bracis-28350	198	3	.	.	PUNCT
bracis-28350	199	1	characteristics	characteristic	NOUN
bracis-28350	199	2	of	of	ADP
bracis-28350	199	3	the	the	DET
bracis-28350	199	4	compared	compare	VERB
bracis-28350	199	5	methods	method	NOUN
bracis-28350	199	6	and	and	CCONJ
bracis-28350	199	7	variations.full	variations.full	ADJ
bracis-28350	199	8	size	size	NOUN
bracis-28350	199	9	table	table	NOUN
bracis-28350	199	10	5.1	5.1	NUM
bracis-28350	199	11	community	community	NOUN
bracis-28350	199	12	detection	detection	NOUN
bracis-28350	199	13	methods	method	NOUN
bracis-28350	199	14	selected	select	VERB
bracis-28350	199	15	for	for	ADP
bracis-28350	199	16	the	the	DET
bracis-28350	199	17	rogers	rogers	PROPN
bracis-28350	199	18	-	-	PUNCT
bracis-28350	199	19	tanimoto	tanimoto	NOUN
bracis-28350	199	20	similarity	similarity	NOUN
bracis-28350	199	21	measure	measure	NOUN
bracis-28350	199	22	,	,	PUNCT
bracis-28350	199	23	the	the	DET
bracis-28350	199	24	most	most	ADV
bracis-28350	199	25	chosen	choose	VERB
bracis-28350	199	26	hierarchical	hierarchical	ADJ
bracis-28350	199	27	community	community	NOUN
bracis-28350	199	28	detection	detection	NOUN
bracis-28350	199	29	methods	method	NOUN
bracis-28350	199	30	were	be	AUX
bracis-28350	199	31	edge	edge	NOUN
bracis-28350	199	32	betweenness	betweenness	NOUN
bracis-28350	199	33	for	for	ADP
bracis-28350	199	34	threshold	threshold	NOUN
bracis-28350	199	35	sparsification	sparsification	NOUN
bracis-28350	199	36	and	and	CCONJ
bracis-28350	199	37	walktrap	walktrap	NOUN
bracis-28350	199	38	for	for	ADP
bracis-28350	199	39	\(k-\)nn	\(k-\)nn	PROPN
bracis-28350	199	40	sparsification	sparsification	NOUN
bracis-28350	199	41	.	.	PUNCT
bracis-28350	200	1	in	in	ADP
bracis-28350	200	2	contrast	contrast	NOUN
bracis-28350	200	3	,	,	PUNCT
bracis-28350	200	4	for	for	ADP
bracis-28350	200	5	jaccard	jaccard	ADJ
bracis-28350	200	6	index	index	NOUN
bracis-28350	200	7	,	,	PUNCT
bracis-28350	200	8	walktrap	walktrap	NOUN
bracis-28350	200	9	was	be	AUX
bracis-28350	200	10	the	the	DET
bracis-28350	200	11	most	most	ADV
bracis-28350	200	12	chosen	choose	VERB
bracis-28350	200	13	in	in	ADP
bracis-28350	200	14	both	both	DET
bracis-28350	200	15	sparsification	sparsification	NOUN
bracis-28350	200	16	types	type	NOUN
bracis-28350	200	17	.	.	PUNCT
bracis-28350	201	1	in	in	ADP
bracis-28350	201	2	the	the	DET
bracis-28350	201	3	case	case	NOUN
bracis-28350	201	4	of	of	ADP
bracis-28350	201	5	the	the	DET
bracis-28350	201	6	non	non	ADJ
bracis-28350	201	7	-	-	ADJ
bracis-28350	201	8	hierarchical	hierarchical	ADJ
bracis-28350	201	9	methods	method	NOUN
bracis-28350	201	10	,	,	PUNCT
bracis-28350	201	11	infomap	infomap	ADJ
bracis-28350	201	12	was	be	AUX
bracis-28350	201	13	the	the	DET
bracis-28350	201	14	most	most	ADV
bracis-28350	201	15	chosen	choose	VERB
bracis-28350	201	16	community	community	NOUN
bracis-28350	201	17	detection	detection	NOUN
bracis-28350	201	18	method	method	NOUN
bracis-28350	201	19	for	for	ADP
bracis-28350	201	20	both	both	DET
bracis-28350	201	21	similarity	similarity	NOUN
bracis-28350	201	22	measures	measure	NOUN
bracis-28350	201	23	and	and	CCONJ
bracis-28350	201	24	sparsification	sparsification	NOUN
bracis-28350	201	25	types	type	NOUN
bracis-28350	201	26	.	.	PUNCT
bracis-28350	202	1	finally	finally	ADV
bracis-28350	202	2	,	,	PUNCT
bracis-28350	202	3	for	for	ADP
bracis-28350	202	4	random	random	ADJ
bracis-28350	202	5	communities	community	NOUN
bracis-28350	202	6	,	,	PUNCT
bracis-28350	202	7	the	the	DET
bracis-28350	202	8	hierarchical	hierarchical	ADJ
bracis-28350	202	9	method	method	NOUN
bracis-28350	202	10	most	most	ADV
bracis-28350	202	11	chosen	choose	VERB
bracis-28350	202	12	was	be	AUX
bracis-28350	202	13	walktrap	walktrap	NOUN
bracis-28350	202	14	,	,	PUNCT
bracis-28350	202	15	while	while	SCONJ
bracis-28350	202	16	infomap	infomap	ADJ
bracis-28350	202	17	was	be	AUX
bracis-28350	202	18	the	the	DET
bracis-28350	202	19	most	most	ADV
bracis-28350	202	20	chosen	choose	VERB
bracis-28350	202	21	for	for	ADP
bracis-28350	202	22	non	non	ADJ
bracis-28350	202	23	-	-	ADJ
bracis-28350	202	24	hierarchical	hierarchical	ADJ
bracis-28350	202	25	methods	method	NOUN
bracis-28350	202	26	.	.	PUNCT
bracis-28350	203	1	5.2	5.2	NUM
bracis-28350	203	2	hybrid	hybrid	ADJ
bracis-28350	203	3	partitions	partition	NOUN
bracis-28350	203	4	selected	select	VERB
bracis-28350	203	5	for	for	ADP
bracis-28350	203	6	birds	bird	NOUN
bracis-28350	203	7	,	,	PUNCT
bracis-28350	203	8	emotions	emotion	NOUN
bracis-28350	203	9	,	,	PUNCT
bracis-28350	203	10	eukaryotepseaac	eukaryotepseaac	NOUN
bracis-28350	203	11	,	,	PUNCT
bracis-28350	203	12	and	and	CCONJ
bracis-28350	203	13	yeast	yeast	NOUN
bracis-28350	203	14	datasets	dataset	NOUN
bracis-28350	203	15	,	,	PUNCT
bracis-28350	203	16	the	the	DET
bracis-28350	203	17	best	good	ADJ
bracis-28350	203	18	partitions	partition	NOUN
bracis-28350	203	19	chosen	choose	VERB
bracis-28350	203	20	were	be	AUX
bracis-28350	203	21	close	close	ADJ
bracis-28350	203	22	to	to	ADP
bracis-28350	203	23	the	the	DET
bracis-28350	203	24	local	local	ADJ
bracis-28350	203	25	partition	partition	NOUN
bracis-28350	203	26	.	.	PUNCT
bracis-28350	204	1	in	in	ADP
bracis-28350	204	2	contrast	contrast	NOUN
bracis-28350	204	3	,	,	PUNCT
bracis-28350	204	4	eisen	eisen	NOUN
bracis-28350	204	5	,	,	PUNCT
bracis-28350	204	6	gnegativego	gnegativego	ADJ
bracis-28350	204	7	,	,	PUNCT
bracis-28350	204	8	gpostivigo	gpostivigo	ADJ
bracis-28350	204	9	,	,	PUNCT
bracis-28350	204	10	scene	scene	NOUN
bracis-28350	204	11	,	,	PUNCT
bracis-28350	204	12	and	and	CCONJ
bracis-28350	204	13	yelp	yelp	NOUN
bracis-28350	204	14	datasets	dataset	NOUN
bracis-28350	204	15	had	have	VERB
bracis-28350	204	16	the	the	DET
bracis-28350	204	17	best	good	ADJ
bracis-28350	204	18	partitions	partition	NOUN
bracis-28350	204	19	chosen	choose	VERB
bracis-28350	204	20	close	close	ADV
bracis-28350	204	21	to	to	ADP
bracis-28350	204	22	the	the	DET
bracis-28350	204	23	global	global	ADJ
bracis-28350	204	24	partition	partition	NOUN
bracis-28350	204	25	.	.	PUNCT
bracis-28350	205	1	considering	consider	VERB
bracis-28350	205	2	the	the	DET
bracis-28350	205	3	langlog	langlog	NOUN
bracis-28350	205	4	dataset	dataset	NOUN
bracis-28350	205	5	,	,	PUNCT
bracis-28350	205	6	the	the	DET
bracis-28350	205	7	partition	partition	NOUN
bracis-28350	205	8	most	most	ADV
bracis-28350	205	9	frequently	frequently	ADV
bracis-28350	205	10	chosen	choose	VERB
bracis-28350	205	11	was	be	AUX
bracis-28350	205	12	similar	similar	ADJ
bracis-28350	205	13	to	to	ADP
bracis-28350	205	14	the	the	DET
bracis-28350	205	15	local	local	NOUN
bracis-28350	205	16	.	.	PUNCT
bracis-28350	206	1	in	in	ADP
bracis-28350	206	2	contrast	contrast	NOUN
bracis-28350	206	3	,	,	PUNCT
bracis-28350	206	4	in	in	ADP
bracis-28350	206	5	pheno	pheno	PROPN
bracis-28350	206	6	dataset	dataset	NOUN
bracis-28350	206	7	,	,	PUNCT
bracis-28350	206	8	there	there	PRON
bracis-28350	206	9	is	be	VERB
bracis-28350	206	10	a	a	DET
bracis-28350	206	11	balance	balance	NOUN
bracis-28350	206	12	between	between	ADP
bracis-28350	206	13	partitions	partition	NOUN
bracis-28350	206	14	near	near	ADP
bracis-28350	206	15	the	the	DET
bracis-28350	206	16	global	global	ADJ
bracis-28350	206	17	or	or	CCONJ
bracis-28350	206	18	local	local	ADJ
bracis-28350	206	19	ones	one	NOUN
bracis-28350	206	20	.	.	PUNCT
bracis-28350	207	1	finally	finally	ADV
bracis-28350	207	2	,	,	PUNCT
bracis-28350	207	3	the	the	DET
bracis-28350	207	4	best	good	ADJ
bracis-28350	207	5	partitions	partition	NOUN
bracis-28350	207	6	for	for	ADP
bracis-28350	207	7	the	the	DET
bracis-28350	207	8	other	other	ADJ
bracis-28350	207	9	datasets	dataset	NOUN
bracis-28350	207	10	vary	vary	VERB
bracis-28350	207	11	,	,	PUNCT
bracis-28350	207	12	but	but	CCONJ
bracis-28350	207	13	a	a	DET
bracis-28350	207	14	partition	partition	NOUN
bracis-28350	207	15	close	close	ADV
bracis-28350	207	16	to	to	ADP
bracis-28350	207	17	the	the	DET
bracis-28350	207	18	global	global	ADJ
bracis-28350	207	19	partition	partition	NOUN
bracis-28350	207	20	configuration	configuration	NOUN
bracis-28350	207	21	was	be	AUX
bracis-28350	207	22	more	more	ADV
bracis-28350	207	23	frequently	frequently	ADV
bracis-28350	207	24	chosen	choose	VERB
bracis-28350	207	25	.	.	PUNCT
bracis-28350	208	1	our	our	PRON
bracis-28350	208	2	experiments	experiment	NOUN
bracis-28350	208	3	observed	observe	VERB
bracis-28350	208	4	that	that	SCONJ
bracis-28350	208	5	the	the	DET
bracis-28350	208	6	best	good	ADJ
bracis-28350	208	7	hybrid	hybrid	ADJ
bracis-28350	208	8	partitions	partition	NOUN
bracis-28350	208	9	generated	generate	VERB
bracis-28350	208	10	by	by	ADP
bracis-28350	208	11	the	the	DET
bracis-28350	208	12	chosen	choose	VERB
bracis-28350	208	13	community	community	NOUN
bracis-28350	208	14	detection	detection	NOUN
bracis-28350	208	15	methods	method	NOUN
bracis-28350	208	16	are	be	AUX
bracis-28350	208	17	similar	similar	ADJ
bracis-28350	208	18	to	to	ADP
bracis-28350	208	19	the	the	DET
bracis-28350	208	20	global	global	ADJ
bracis-28350	208	21	partition	partition	NOUN
bracis-28350	208	22	.	.	PUNCT
bracis-28350	209	1	this	this	PRON
bracis-28350	209	2	can	can	AUX
bracis-28350	209	3	be	be	AUX
bracis-28350	209	4	one	one	NUM
bracis-28350	209	5	reason	reason	NOUN
bracis-28350	209	6	our	our	PRON
bracis-28350	209	7	performance	performance	NOUN
bracis-28350	209	8	results	result	NOUN
bracis-28350	209	9	are	be	AUX
bracis-28350	209	10	competitive	competitive	ADJ
bracis-28350	209	11	compared	compare	VERB
bracis-28350	209	12	with	with	ADP
bracis-28350	209	13	other	other	ADJ
bracis-28350	209	14	partitions	partition	NOUN
bracis-28350	209	15	,	,	PUNCT
bracis-28350	209	16	overcome	overcome	VERB
bracis-28350	209	17	the	the	DET
bracis-28350	209	18	global	global	ADJ
bracis-28350	209	19	,	,	PUNCT
bracis-28350	209	20	and	and	CCONJ
bracis-28350	209	21	are	be	AUX
bracis-28350	209	22	not	not	PART
bracis-28350	209	23	superior	superior	ADJ
bracis-28350	209	24	to	to	ADP
bracis-28350	209	25	the	the	DET
bracis-28350	209	26	local	local	ADJ
bracis-28350	209	27	ones	one	NOUN
bracis-28350	209	28	for	for	ADP
bracis-28350	209	29	some	some	DET
bracis-28350	209	30	datasets	dataset	NOUN
bracis-28350	209	31	.	.	PUNCT
bracis-28350	210	1	5.3	5.3	NUM
bracis-28350	210	2	classifier	classifier	NOUN
bracis-28350	210	3	’s	’s	PART
bracis-28350	210	4	performance	performance	NOUN
bracis-28350	210	5	figure	figure	NOUN
bracis-28350	210	6	 	 	SPACE
bracis-28350	210	7	3	3	NUM
bracis-28350	210	8	presents	present	VERB
bracis-28350	210	9	the	the	DET
bracis-28350	210	10	number	number	NOUN
bracis-28350	210	11	of	of	ADP
bracis-28350	210	12	wins	win	NOUN
bracis-28350	210	13	,	,	PUNCT
bracis-28350	210	14	losses	loss	NOUN
bracis-28350	210	15	,	,	PUNCT
bracis-28350	210	16	and	and	CCONJ
bracis-28350	210	17	ties	tie	NOUN
bracis-28350	210	18	considering	consider	VERB
bracis-28350	210	19	the	the	DET
bracis-28350	210	20	24	24	NUM
bracis-28350	210	21	methods	method	NOUN
bracis-28350	210	22	and	and	CCONJ
bracis-28350	210	23	20	20	NUM
bracis-28350	210	24	datasets	dataset	NOUN
bracis-28350	210	25	.	.	PUNCT
bracis-28350	211	1	in	in	ADP
bracis-28350	211	2	the	the	DET
bracis-28350	211	3	figure	figure	NOUN
bracis-28350	211	4	,	,	PUNCT
bracis-28350	211	5	blue	blue	ADJ
bracis-28350	211	6	indicates	indicate	VERB
bracis-28350	211	7	wins	win	NOUN
bracis-28350	211	8	,	,	PUNCT
bracis-28350	211	9	purple	purple	NOUN
bracis-28350	211	10	indicates	indicate	VERB
bracis-28350	211	11	losses	loss	NOUN
bracis-28350	211	12	,	,	PUNCT
bracis-28350	211	13	and	and	CCONJ
bracis-28350	211	14	green	green	ADJ
bracis-28350	211	15	indicates	indicate	VERB
bracis-28350	211	16	ties	tie	NOUN
bracis-28350	211	17	.	.	PUNCT
bracis-28350	212	1	considering	consider	VERB
bracis-28350	212	2	the	the	DET
bracis-28350	212	3	performances	performance	NOUN
bracis-28350	212	4	over	over	ADP
bracis-28350	212	5	the	the	DET
bracis-28350	212	6	20	20	NUM
bracis-28350	212	7	datasets	dataset	NOUN
bracis-28350	212	8	in	in	ADP
bracis-28350	212	9	both	both	DET
bracis-28350	212	10	maf1	maf1	PROPN
bracis-28350	212	11	and	and	CCONJ
bracis-28350	212	12	mlp	mlp	NOUN
bracis-28350	212	13	measures	measure	NOUN
bracis-28350	212	14	,	,	PUNCT
bracis-28350	212	15	the	the	DET
bracis-28350	212	16	local	local	ADJ
bracis-28350	212	17	approach	approach	NOUN
bracis-28350	212	18	tends	tend	VERB
bracis-28350	212	19	to	to	PART
bracis-28350	212	20	obtain	obtain	VERB
bracis-28350	212	21	the	the	DET
bracis-28350	212	22	best	good	ADJ
bracis-28350	212	23	results	result	NOUN
bracis-28350	212	24	,	,	PUNCT
bracis-28350	212	25	followed	follow	VERB
bracis-28350	212	26	by	by	ADP
bracis-28350	212	27	the	the	DET
bracis-28350	212	28	results	result	NOUN
bracis-28350	212	29	obtained	obtain	VERB
bracis-28350	212	30	with	with	ADP
bracis-28350	212	31	the	the	DET
bracis-28350	212	32	hybrid	hybrid	ADJ
bracis-28350	212	33	partitions	partition	NOUN
bracis-28350	212	34	.	.	PUNCT
bracis-28350	213	1	on	on	ADP
bracis-28350	213	2	the	the	DET
bracis-28350	213	3	other	other	ADJ
bracis-28350	213	4	hand	hand	NOUN
bracis-28350	213	5	,	,	PUNCT
bracis-28350	213	6	the	the	DET
bracis-28350	213	7	global	global	ADJ
bracis-28350	213	8	approach	approach	NOUN
bracis-28350	213	9	obtained	obtain	VERB
bracis-28350	213	10	the	the	DET
bracis-28350	213	11	worst	bad	ADJ
bracis-28350	213	12	results	result	NOUN
bracis-28350	213	13	.	.	PUNCT
bracis-28350	214	1	furthermore	furthermore	ADV
bracis-28350	214	2	,	,	PUNCT
bracis-28350	214	3	the	the	DET
bracis-28350	214	4	theoretical	theoretical	ADJ
bracis-28350	214	5	complexity	complexity	NOUN
bracis-28350	214	6	score	score	NOUN
bracis-28350	214	7	(	(	PUNCT
bracis-28350	214	8	table	table	NOUN
bracis-28350	214	9	 	 	SPACE
bracis-28350	214	10	1	1	NUM
bracis-28350	214	11	)	)	PUNCT
bracis-28350	214	12	presents	present	VERB
bracis-28350	214	13	high	high	ADJ
bracis-28350	214	14	values	value	NOUN
bracis-28350	214	15	for	for	ADP
bracis-28350	214	16	all	all	DET
bracis-28350	214	17	datasets	dataset	NOUN
bracis-28350	214	18	except	except	SCONJ
bracis-28350	214	19	emotions	emotion	NOUN
bracis-28350	214	20	and	and	CCONJ
bracis-28350	214	21	flags	flag	NOUN
bracis-28350	214	22	.	.	PUNCT
bracis-28350	215	1	this	this	PRON
bracis-28350	215	2	indicates	indicate	VERB
bracis-28350	215	3	that	that	SCONJ
bracis-28350	215	4	it	it	PRON
bracis-28350	215	5	is	be	AUX
bracis-28350	215	6	hard	hard	ADJ
bracis-28350	215	7	to	to	PART
bracis-28350	215	8	learn	learn	VERB
bracis-28350	215	9	label	label	NOUN
bracis-28350	215	10	correlations	correlation	NOUN
bracis-28350	215	11	in	in	ADP
bracis-28350	215	12	most	most	ADJ
bracis-28350	215	13	of	of	ADP
bracis-28350	215	14	the	the	DET
bracis-28350	215	15	datasets	dataset	NOUN
bracis-28350	215	16	.	.	PUNCT
bracis-28350	216	1	fig	fig	NOUN
bracis-28350	216	2	.	.	PUNCT
bracis-28350	217	1	3	3	X
bracis-28350	217	2	.	.	X
bracis-28350	217	3	graphical	graphical	ADJ
bracis-28350	217	4	representations	representation	NOUN
bracis-28350	217	5	of	of	ADP
bracis-28350	217	6	wins	win	NOUN
bracis-28350	217	7	,	,	PUNCT
bracis-28350	217	8	losses	loss	NOUN
bracis-28350	217	9	,	,	PUNCT
bracis-28350	217	10	and	and	CCONJ
bracis-28350	217	11	ties	tie	NOUN
bracis-28350	217	12	for	for	ADP
bracis-28350	217	13	each	each	DET
bracis-28350	217	14	method	method	NOUN
bracis-28350	217	15	.	.	PUNCT
bracis-28350	218	1	full	full	ADJ
bracis-28350	218	2	size	size	NOUN
bracis-28350	218	3	image	image	NOUN
bracis-28350	218	4	the	the	DET
bracis-28350	218	5	classifier	classifier	NOUN
bracis-28350	218	6	’s	’s	PART
bracis-28350	218	7	performance	performance	NOUN
bracis-28350	218	8	resultsfootnote	resultsfootnote	VERB
bracis-28350	218	9	4	4	NUM
bracis-28350	218	10	,	,	PUNCT
bracis-28350	218	11	in	in	ADP
bracis-28350	218	12	several	several	ADJ
bracis-28350	218	13	datasets	dataset	NOUN
bracis-28350	218	14	,	,	PUNCT
bracis-28350	218	15	using	use	VERB
bracis-28350	218	16	random	random	ADJ
bracis-28350	218	17	partitions	partition	NOUN
bracis-28350	218	18	outperformed	outperform	VERB
bracis-28350	218	19	its	its	PRON
bracis-28350	218	20	performance	performance	NOUN
bracis-28350	218	21	when	when	SCONJ
bracis-28350	218	22	using	use	VERB
bracis-28350	218	23	global	global	ADJ
bracis-28350	218	24	partitions	partition	NOUN
bracis-28350	218	25	.	.	PUNCT
bracis-28350	219	1	when	when	SCONJ
bracis-28350	219	2	comparing	compare	VERB
bracis-28350	219	3	h.ra	h.ra	NOUN
bracis-28350	219	4	and	and	CCONJ
bracis-28350	219	5	nh.ra	nh.ra	NOUN
bracis-28350	219	6	with	with	ADP
bracis-28350	219	7	lo	lo	PROPN
bracis-28350	219	8	,	,	PUNCT
bracis-28350	219	9	the	the	DET
bracis-28350	219	10	random	random	ADJ
bracis-28350	219	11	partitions	partition	NOUN
bracis-28350	219	12	led	lead	VERB
bracis-28350	219	13	to	to	ADP
bracis-28350	219	14	competitive	competitive	ADJ
bracis-28350	219	15	results	result	NOUN
bracis-28350	219	16	.	.	PUNCT
bracis-28350	220	1	regarding	regard	VERB
bracis-28350	220	2	the	the	DET
bracis-28350	220	3	sparsification	sparsification	NOUN
bracis-28350	220	4	methods	method	NOUN
bracis-28350	220	5	,	,	PUNCT
bracis-28350	220	6	k	k	PROPN
bracis-28350	220	7	-	-	PUNCT
bracis-28350	220	8	nn	nn	PROPN
bracis-28350	220	9	obtained	obtain	VERB
bracis-28350	220	10	slightly	slightly	ADV
bracis-28350	220	11	better	well	ADJ
bracis-28350	220	12	performances	performance	NOUN
bracis-28350	220	13	when	when	SCONJ
bracis-28350	220	14	compared	compare	VERB
bracis-28350	220	15	to	to	ADP
bracis-28350	220	16	threshold	threshold	NOUN
bracis-28350	220	17	sparsification	sparsification	NOUN
bracis-28350	220	18	.	.	PUNCT
bracis-28350	221	1	the	the	DET
bracis-28350	221	2	clusters	cluster	NOUN
bracis-28350	221	3	of	of	ADP
bracis-28350	221	4	the	the	DET
bracis-28350	221	5	partitions	partition	NOUN
bracis-28350	221	6	found	find	VERB
bracis-28350	221	7	by	by	ADP
bracis-28350	221	8	the	the	DET
bracis-28350	221	9	community	community	NOUN
bracis-28350	221	10	detection	detection	NOUN
bracis-28350	221	11	methods	method	NOUN
bracis-28350	221	12	for	for	ADP
bracis-28350	221	13	each	each	DET
bracis-28350	221	14	dataset	dataset	NOUN
bracis-28350	221	15	were	be	AUX
bracis-28350	221	16	similar	similar	ADJ
bracis-28350	221	17	and	and	CCONJ
bracis-28350	221	18	sometimes	sometimes	ADV
bracis-28350	221	19	the	the	DET
bracis-28350	221	20	same	same	ADJ
bracis-28350	221	21	.	.	PUNCT
bracis-28350	222	1	by	by	ADP
bracis-28350	222	2	all	all	DET
bracis-28350	222	3	indications	indication	NOUN
bracis-28350	222	4	,	,	PUNCT
bracis-28350	222	5	our	our	PRON
bracis-28350	222	6	method	method	NOUN
bracis-28350	222	7	is	be	AUX
bracis-28350	222	8	not	not	PART
bracis-28350	222	9	significantly	significantly	ADV
bracis-28350	222	10	affected	affect	VERB
bracis-28350	222	11	by	by	ADP
bracis-28350	222	12	sparsification	sparsification	NOUN
bracis-28350	222	13	with	with	ADP
bracis-28350	222	14	k	k	PROPN
bracis-28350	222	15	-	-	PUNCT
bracis-28350	222	16	nn	nn	PROPN
bracis-28350	222	17	.	.	PUNCT
bracis-28350	222	18	we	we	PRON
bracis-28350	222	19	also	also	ADV
bracis-28350	222	20	notice	notice	VERB
bracis-28350	222	21	that	that	SCONJ
bracis-28350	222	22	the	the	DET
bracis-28350	222	23	results	result	NOUN
bracis-28350	222	24	from	from	ADP
bracis-28350	222	25	graphs	graph	NOUN
bracis-28350	222	26	built	build	VERB
bracis-28350	222	27	with	with	ADP
bracis-28350	222	28	the	the	DET
bracis-28350	222	29	jaccard	jaccard	ADJ
bracis-28350	222	30	index	index	NOUN
bracis-28350	222	31	and	and	CCONJ
bracis-28350	222	32	hierarchical	hierarchical	ADJ
bracis-28350	222	33	methods	method	NOUN
bracis-28350	222	34	outperformed	outperform	VERB
bracis-28350	222	35	the	the	DET
bracis-28350	222	36	ones	one	NOUN
bracis-28350	222	37	with	with	ADP
bracis-28350	222	38	the	the	DET
bracis-28350	222	39	rogers	rogers	PROPN
bracis-28350	222	40	-	-	PUNCT
bracis-28350	222	41	tanimoto	tanimoto	NOUN
bracis-28350	222	42	similarity	similarity	NOUN
bracis-28350	222	43	,	,	PUNCT
bracis-28350	222	44	while	while	SCONJ
bracis-28350	222	45	in	in	ADP
bracis-28350	222	46	non	non	ADJ
bracis-28350	222	47	-	-	ADJ
bracis-28350	222	48	hierarchical	hierarchical	ADJ
bracis-28350	222	49	methods	method	NOUN
bracis-28350	222	50	,	,	PUNCT
bracis-28350	222	51	rogers	rogers	PROPN
bracis-28350	222	52	-	-	PUNCT
bracis-28350	222	53	tanimoto	tanimoto	PROPN
bracis-28350	222	54	were	be	AUX
bracis-28350	222	55	generally	generally	ADV
bracis-28350	222	56	better	well	ADJ
bracis-28350	222	57	than	than	ADP
bracis-28350	222	58	the	the	DET
bracis-28350	222	59	jaccard	jaccard	PROPN
bracis-28350	222	60	 	 	SPACE
bracis-28350	222	61	index	index	NOUN
bracis-28350	222	62	.	.	PUNCT
bracis-28350	223	1	finally	finally	ADV
bracis-28350	223	2	,	,	PUNCT
bracis-28350	223	3	in	in	ADP
bracis-28350	223	4	a	a	DET
bracis-28350	223	5	method	method	NOUN
bracis-28350	223	6	-	-	PUNCT
bracis-28350	223	7	by	by	ADP
bracis-28350	223	8	-	-	PUNCT
bracis-28350	223	9	method	method	NOUN
bracis-28350	223	10	pairwise	pairwise	NOUN
bracis-28350	223	11	comparison	comparison	NOUN
bracis-28350	223	12	,	,	PUNCT
bracis-28350	223	13	the	the	DET
bracis-28350	223	14	local	local	ADJ
bracis-28350	223	15	partitions	partition	NOUN
bracis-28350	223	16	performed	perform	VERB
bracis-28350	223	17	better	well	ADV
bracis-28350	223	18	than	than	ADP
bracis-28350	223	19	all	all	DET
bracis-28350	223	20	other	other	ADJ
bracis-28350	223	21	partitions	partition	NOUN
bracis-28350	223	22	on	on	ADP
bracis-28350	223	23	an	an	DET
bracis-28350	223	24	average	average	NOUN
bracis-28350	223	25	of	of	ADP
bracis-28350	223	26	16	16	NUM
bracis-28350	223	27	datasets	dataset	NOUN
bracis-28350	223	28	.	.	PUNCT
bracis-28350	224	1	meanwhile	meanwhile	ADV
bracis-28350	224	2	,	,	PUNCT
bracis-28350	224	3	hybrid	hybrid	ADJ
bracis-28350	224	4	and	and	CCONJ
bracis-28350	224	5	random	random	ADJ
bracis-28350	224	6	partitions	partition	NOUN
bracis-28350	224	7	achieved	achieve	VERB
bracis-28350	224	8	the	the	DET
bracis-28350	224	9	best	good	ADJ
bracis-28350	224	10	results	result	NOUN
bracis-28350	224	11	on	on	ADP
bracis-28350	224	12	an	an	DET
bracis-28350	224	13	average	average	NOUN
bracis-28350	224	14	of	of	ADP
bracis-28350	224	15	10	10	NUM
bracis-28350	224	16	datasets	dataset	NOUN
bracis-28350	224	17	.	.	PUNCT
bracis-28350	225	1	for	for	ADP
bracis-28350	225	2	the	the	DET
bracis-28350	225	3	mlp	mlp	NOUN
bracis-28350	225	4	measure	measure	NOUN
bracis-28350	225	5	,	,	PUNCT
bracis-28350	225	6	the	the	DET
bracis-28350	225	7	resulting	result	VERB
bracis-28350	225	8	values	value	NOUN
bracis-28350	225	9	for	for	ADP
bracis-28350	225	10	many	many	ADJ
bracis-28350	225	11	datasets	dataset	NOUN
bracis-28350	225	12	are	be	AUX
bracis-28350	225	13	about	about	ADV
bracis-28350	225	14	0.9	0.9	NUM
bracis-28350	225	15	.	.	PUNCT
bracis-28350	226	1	as	as	SCONJ
bracis-28350	226	2	the	the	DET
bracis-28350	226	3	best	good	ADJ
bracis-28350	226	4	value	value	NOUN
bracis-28350	226	5	for	for	ADP
bracis-28350	226	6	this	this	DET
bracis-28350	226	7	measure	measure	NOUN
bracis-28350	226	8	is	be	AUX
bracis-28350	226	9	0.0	0.0	NUM
bracis-28350	226	10	,	,	PUNCT
bracis-28350	226	11	a	a	DET
bracis-28350	226	12	value	value	NOUN
bracis-28350	226	13	near	near	ADP
bracis-28350	226	14	1.0	1.0	NUM
bracis-28350	226	15	indicates	indicate	VERB
bracis-28350	226	16	that	that	SCONJ
bracis-28350	226	17	not	not	PART
bracis-28350	226	18	all	all	DET
bracis-28350	226	19	labels	label	NOUN
bracis-28350	226	20	were	be	AUX
bracis-28350	226	21	correctly	correctly	ADV
bracis-28350	226	22	learned	learn	VERB
bracis-28350	226	23	nor	nor	CCONJ
bracis-28350	226	24	predicted	predict	VERB
bracis-28350	226	25	by	by	ADP
bracis-28350	226	26	the	the	DET
bracis-28350	226	27	classifier	classifier	NOUN
bracis-28350	226	28	.	.	PUNCT
bracis-28350	227	1	the	the	DET
bracis-28350	227	2	pheno	pheno	NOUN
bracis-28350	227	3	dataset	dataset	PROPN
bracis-28350	227	4	had	have	VERB
bracis-28350	227	5	the	the	DET
bracis-28350	227	6	worst	bad	ADJ
bracis-28350	227	7	result	result	NOUN
bracis-28350	227	8	when	when	SCONJ
bracis-28350	227	9	using	use	VERB
bracis-28350	227	10	the	the	DET
bracis-28350	227	11	local	local	ADJ
bracis-28350	227	12	partition	partition	NOUN
bracis-28350	227	13	,	,	PUNCT
bracis-28350	227	14	0.977	0.977	NUM
bracis-28350	227	15	,	,	PUNCT
bracis-28350	227	16	which	which	PRON
bracis-28350	227	17	means	mean	VERB
bracis-28350	227	18	that	that	SCONJ
bracis-28350	227	19	the	the	DET
bracis-28350	227	20	classifier	classifier	NOUN
bracis-28350	227	21	did	do	AUX
bracis-28350	227	22	not	not	PART
bracis-28350	227	23	correctly	correctly	ADV
bracis-28350	227	24	predict	predict	VERB
bracis-28350	227	25	97	97	NUM
bracis-28350	227	26	%	%	NOUN
bracis-28350	227	27	of	of	ADP
bracis-28350	227	28	all	all	DET
bracis-28350	227	29	labels	label	NOUN
bracis-28350	227	30	.	.	PUNCT
bracis-28350	228	1	in	in	ADP
bracis-28350	228	2	contrast	contrast	NOUN
bracis-28350	228	3	,	,	PUNCT
bracis-28350	228	4	at	at	ADV
bracis-28350	228	5	least	least	ADV
bracis-28350	228	6	40	40	NUM
bracis-28350	228	7	%	%	NOUN
bracis-28350	228	8	of	of	ADP
bracis-28350	228	9	the	the	DET
bracis-28350	228	10	labels	label	NOUN
bracis-28350	228	11	were	be	AUX
bracis-28350	228	12	predicted	predict	VERB
bracis-28350	228	13	by	by	ADP
bracis-28350	228	14	the	the	DET
bracis-28350	228	15	other	other	ADJ
bracis-28350	228	16	methods	method	NOUN
bracis-28350	228	17	,	,	PUNCT
bracis-28350	228	18	indicating	indicate	VERB
bracis-28350	228	19	that	that	SCONJ
bracis-28350	228	20	the	the	DET
bracis-28350	228	21	correlated	correlate	VERB
bracis-28350	228	22	labels	label	NOUN
bracis-28350	228	23	were	be	AUX
bracis-28350	228	24	helpful	helpful	ADJ
bracis-28350	228	25	in	in	ADP
bracis-28350	228	26	the	the	DET
bracis-28350	228	27	learning	learning	NOUN
bracis-28350	228	28	process	process	NOUN
bracis-28350	228	29	.	.	PUNCT
bracis-28350	229	1	considering	consider	VERB
bracis-28350	229	2	the	the	DET
bracis-28350	229	3	maf1	maf1	PROPN
bracis-28350	229	4	average	average	ADJ
bracis-28350	229	5	values	value	NOUN
bracis-28350	229	6	over	over	ADP
bracis-28350	229	7	the	the	DET
bracis-28350	229	8	20	20	NUM
bracis-28350	229	9	datasets	dataset	NOUN
bracis-28350	229	10	,	,	PUNCT
bracis-28350	229	11	most	most	ADJ
bracis-28350	229	12	of	of	ADP
bracis-28350	229	13	the	the	DET
bracis-28350	229	14	methods	method	NOUN
bracis-28350	229	15	obtained	obtain	VERB
bracis-28350	229	16	performance	performance	NOUN
bracis-28350	229	17	values	value	NOUN
bracis-28350	229	18	between	between	ADP
bracis-28350	229	19	0.3	0.3	NUM
bracis-28350	229	20	and	and	CCONJ
bracis-28350	229	21	0.2	0.2	NUM
bracis-28350	229	22	,	,	PUNCT
bracis-28350	229	23	which	which	PRON
bracis-28350	229	24	is	be	AUX
bracis-28350	229	25	considered	consider	VERB
bracis-28350	229	26	low	low	ADJ
bracis-28350	229	27	.	.	PUNCT
bracis-28350	230	1	the	the	DET
bracis-28350	230	2	best	good	ADJ
bracis-28350	230	3	results	result	NOUN
bracis-28350	230	4	(	(	PUNCT
bracis-28350	230	5	close	close	ADV
bracis-28350	230	6	to	to	ADP
bracis-28350	230	7	1.0	1.0	NUM
bracis-28350	230	8	)	)	PUNCT
bracis-28350	230	9	were	be	AUX
bracis-28350	230	10	obtained	obtain	VERB
bracis-28350	230	11	in	in	ADP
bracis-28350	230	12	the	the	DET
bracis-28350	230	13	datasets	dataset	NOUN
bracis-28350	230	14	gpositivego	gpositivego	VERB
bracis-28350	230	15	and	and	CCONJ
bracis-28350	230	16	gnegativego	gnegativego	NOUN
bracis-28350	230	17	,	,	PUNCT
bracis-28350	230	18	which	which	PRON
bracis-28350	230	19	have	have	VERB
bracis-28350	230	20	few	few	ADJ
bracis-28350	230	21	labels	label	NOUN
bracis-28350	230	22	.	.	PUNCT
bracis-28350	231	1	similar	similar	ADJ
bracis-28350	231	2	results	result	NOUN
bracis-28350	231	3	can	can	AUX
bracis-28350	231	4	also	also	ADV
bracis-28350	231	5	be	be	AUX
bracis-28350	231	6	found	find	VERB
bracis-28350	231	7	in	in	ADP
bracis-28350	231	8	related	related	ADJ
bracis-28350	231	9	studies	study	NOUN
bracis-28350	231	10	,	,	PUNCT
bracis-28350	231	11	where	where	SCONJ
bracis-28350	231	12	the	the	DET
bracis-28350	231	13	authors	author	NOUN
bracis-28350	231	14	showed	show	VERB
bracis-28350	231	15	that	that	SCONJ
bracis-28350	231	16	multi	multi	ADJ
bracis-28350	231	17	-	-	ADJ
bracis-28350	231	18	label	label	ADJ
bracis-28350	231	19	classifiers	classifier	NOUN
bracis-28350	231	20	could	could	AUX
bracis-28350	231	21	not	not	PART
bracis-28350	231	22	correctly	correctly	ADV
bracis-28350	231	23	learn	learn	VERB
bracis-28350	231	24	and	and	CCONJ
bracis-28350	231	25	predict	predict	VERB
bracis-28350	231	26	the	the	DET
bracis-28350	231	27	labels	label	NOUN
bracis-28350	231	28	and	and	CCONJ
bracis-28350	231	29	correlations	correlation	NOUN
bracis-28350	231	30	.	.	PUNCT
bracis-28350	232	1	finally	finally	ADV
bracis-28350	232	2	,	,	PUNCT
bracis-28350	232	3	our	our	PRON
bracis-28350	232	4	results	result	NOUN
bracis-28350	232	5	show	show	VERB
bracis-28350	232	6	that	that	SCONJ
bracis-28350	232	7	the	the	DET
bracis-28350	232	8	traditional	traditional	ADJ
bracis-28350	232	9	local	local	ADJ
bracis-28350	232	10	and	and	CCONJ
bracis-28350	232	11	global	global	ADJ
bracis-28350	232	12	approaches	approach	NOUN
bracis-28350	232	13	can	can	AUX
bracis-28350	232	14	not	not	PART
bracis-28350	232	15	correctly	correctly	ADV
bracis-28350	232	16	learn	learn	VERB
bracis-28350	232	17	label	label	NOUN
bracis-28350	232	18	correlations	correlation	NOUN
bracis-28350	232	19	since	since	SCONJ
bracis-28350	232	20	random	random	ADJ
bracis-28350	232	21	generated	generate	VERB
bracis-28350	232	22	partitions	partition	NOUN
bracis-28350	232	23	led	lead	VERB
bracis-28350	232	24	to	to	ADP
bracis-28350	232	25	very	very	ADV
bracis-28350	232	26	similar	similar	ADJ
bracis-28350	232	27	results	result	NOUN
bracis-28350	232	28	in	in	ADP
bracis-28350	232	29	many	many	ADJ
bracis-28350	232	30	cases	case	NOUN
bracis-28350	232	31	.	.	PUNCT
bracis-28350	233	1	5.4	5.4	NUM
bracis-28350	233	2	statistical	statistical	ADJ
bracis-28350	233	3	tests	test	NOUN
bracis-28350	233	4	to	to	PART
bracis-28350	233	5	verify	verify	VERB
bracis-28350	233	6	the	the	DET
bracis-28350	233	7	statistical	statistical	ADJ
bracis-28350	233	8	significance	significance	NOUN
bracis-28350	233	9	of	of	ADP
bracis-28350	233	10	our	our	PRON
bracis-28350	233	11	results	result	NOUN
bracis-28350	233	12	,	,	PUNCT
bracis-28350	233	13	we	we	PRON
bracis-28350	233	14	executed	execute	VERB
bracis-28350	233	15	the	the	DET
bracis-28350	233	16	friedman	friedman	NOUN
bracis-28350	233	17	test	test	NOUN
bracis-28350	233	18	(	(	PUNCT
bracis-28350	233	19	\(\alpha	\(\alpha	NOUN
bracis-28350	233	20	=	=	SYM
bracis-28350	233	21	0.05\	0.05\	NUM
bracis-28350	233	22	)	)	PUNCT
bracis-28350	233	23	)	)	PUNCT
bracis-28350	233	24	,	,	PUNCT
bracis-28350	233	25	followed	follow	VERB
bracis-28350	233	26	by	by	ADP
bracis-28350	233	27	the	the	DET
bracis-28350	233	28	nemenyi	nemenyi	PROPN
bracis-28350	233	29	post	post	ADJ
bracis-28350	233	30	-	-	ADJ
bracis-28350	233	31	hoc	hoc	ADJ
bracis-28350	233	32	test	test	NOUN
bracis-28350	233	33	.	.	PUNCT
bracis-28350	234	1	they	they	PRON
bracis-28350	234	2	are	be	AUX
bracis-28350	234	3	adequate	adequate	ADJ
bracis-28350	234	4	when	when	SCONJ
bracis-28350	234	5	comparing	compare	VERB
bracis-28350	234	6	many	many	ADJ
bracis-28350	234	7	classifiers	classifier	NOUN
bracis-28350	234	8	over	over	ADP
bracis-28350	234	9	multiple	multiple	ADJ
bracis-28350	234	10	datasets	dataset	NOUN
bracis-28350	234	11	 	 	SPACE
bracis-28350	235	1	[	[	X
bracis-28350	235	2	10	10	NUM
bracis-28350	235	3	]	]	PUNCT
bracis-28350	235	4	.	.	PUNCT
bracis-28350	236	1	the	the	DET
bracis-28350	236	2	respective	respective	ADJ
bracis-28350	236	3	friedman	friedman	NOUN
bracis-28350	236	4	p	p	NOUN
bracis-28350	236	5	-	-	PUNCT
bracis-28350	236	6	values	value	NOUN
bracis-28350	236	7	were	be	AUX
bracis-28350	236	8	5.75e-09	5.75e-09	NUM
bracis-28350	236	9	and	and	CCONJ
bracis-28350	236	10	9.27e-14	9.27e-14	NUM
bracis-28350	236	11	,	,	PUNCT
bracis-28350	236	12	and	and	CCONJ
bracis-28350	236	13	the	the	DET
bracis-28350	236	14	critical	critical	ADJ
bracis-28350	236	15	distances	distance	NOUN
bracis-28350	236	16	are	be	AUX
bracis-28350	236	17	shown	show	VERB
bracis-28350	236	18	in	in	ADP
bracis-28350	236	19	figs	fig	NOUN
bracis-28350	236	20	.	.	PUNCT
bracis-28350	236	21	 	 	SPACE
bracis-28350	236	22	4	4	NUM
bracis-28350	236	23	and	and	CCONJ
bracis-28350	236	24	5	5	NUM
bracis-28350	236	25	.	.	X
bracis-28350	236	26	no	no	DET
bracis-28350	236	27	statistically	statistically	ADV
bracis-28350	236	28	significant	significant	ADJ
bracis-28350	236	29	differences	difference	NOUN
bracis-28350	236	30	were	be	AUX
bracis-28350	236	31	detected	detect	VERB
bracis-28350	236	32	between	between	ADP
bracis-28350	236	33	the	the	DET
bracis-28350	236	34	results	result	NOUN
bracis-28350	236	35	obtained	obtain	VERB
bracis-28350	236	36	with	with	ADP
bracis-28350	236	37	the	the	DET
bracis-28350	236	38	local	local	ADJ
bracis-28350	236	39	approach	approach	NOUN
bracis-28350	236	40	and	and	CCONJ
bracis-28350	236	41	those	those	PRON
bracis-28350	236	42	obtained	obtain	VERB
bracis-28350	236	43	with	with	ADP
bracis-28350	236	44	the	the	DET
bracis-28350	236	45	random	random	ADJ
bracis-28350	236	46	partitions	partition	NOUN
bracis-28350	236	47	generated	generate	VERB
bracis-28350	236	48	with	with	ADP
bracis-28350	236	49	non	non	ADJ
bracis-28350	236	50	-	-	ADJ
bracis-28350	236	51	hierarchical	hierarchical	ADJ
bracis-28350	236	52	community	community	NOUN
bracis-28350	236	53	detection	detection	NOUN
bracis-28350	236	54	methods	method	NOUN
bracis-28350	236	55	.	.	PUNCT
bracis-28350	237	1	there	there	PRON
bracis-28350	237	2	were	be	VERB
bracis-28350	237	3	also	also	ADV
bracis-28350	237	4	no	no	DET
bracis-28350	237	5	significant	significant	ADJ
bracis-28350	237	6	differences	difference	NOUN
bracis-28350	237	7	when	when	SCONJ
bracis-28350	237	8	comparing	compare	VERB
bracis-28350	237	9	the	the	DET
bracis-28350	237	10	global	global	ADJ
bracis-28350	237	11	partition	partition	NOUN
bracis-28350	237	12	and	and	CCONJ
bracis-28350	237	13	the	the	DET
bracis-28350	237	14	random	random	ADJ
bracis-28350	237	15	partitions	partition	NOUN
bracis-28350	237	16	generated	generate	VERB
bracis-28350	237	17	with	with	ADP
bracis-28350	237	18	hierarchical	hierarchical	ADJ
bracis-28350	237	19	community	community	NOUN
bracis-28350	237	20	detection	detection	NOUN
bracis-28350	237	21	methods	method	NOUN
bracis-28350	237	22	.	.	PUNCT
bracis-28350	238	1	fig	fig	NOUN
bracis-28350	238	2	.	.	PUNCT
bracis-28350	239	1	4	4	X
bracis-28350	239	2	.	.	X
bracis-28350	239	3	critical	critical	ADJ
bracis-28350	239	4	diagram	diagram	NOUN
bracis-28350	239	5	for	for	ADP
bracis-28350	239	6	the	the	DET
bracis-28350	239	7	maf1	maf1	NOUN
bracis-28350	239	8	results	result	VERB
bracis-28350	239	9	.	.	PUNCT
bracis-28350	240	1	full	full	ADJ
bracis-28350	240	2	size	size	NOUN
bracis-28350	240	3	image	image	NOUN
bracis-28350	240	4	fig	fig	NOUN
bracis-28350	240	5	.	.	PUNCT
bracis-28350	241	1	5	5	NUM
bracis-28350	241	2	.	.	X
bracis-28350	241	3	critical	critical	ADJ
bracis-28350	241	4	diagram	diagram	NOUN
bracis-28350	241	5	for	for	ADP
bracis-28350	241	6	the	the	DET
bracis-28350	241	7	missing	miss	VERB
bracis-28350	241	8	label	label	NOUN
bracis-28350	241	9	problem	problem	NOUN
bracis-28350	241	10	results	result	NOUN
bracis-28350	241	11	.	.	PUNCT
bracis-28350	242	1	full	full	ADJ
bracis-28350	242	2	size	size	NOUN
bracis-28350	242	3	image	image	NOUN
bracis-28350	242	4	when	when	SCONJ
bracis-28350	242	5	comparing	compare	VERB
bracis-28350	242	6	local	local	ADJ
bracis-28350	242	7	and	and	CCONJ
bracis-28350	242	8	hybrid	hybrid	ADJ
bracis-28350	242	9	partitions	partition	NOUN
bracis-28350	242	10	from	from	ADP
bracis-28350	242	11	hierarchical	hierarchical	ADJ
bracis-28350	242	12	community	community	NOUN
bracis-28350	242	13	methods	method	NOUN
bracis-28350	242	14	,	,	PUNCT
bracis-28350	242	15	there	there	PRON
bracis-28350	242	16	were	be	VERB
bracis-28350	242	17	no	no	DET
bracis-28350	242	18	significant	significant	ADJ
bracis-28350	242	19	differences	difference	NOUN
bracis-28350	242	20	,	,	PUNCT
bracis-28350	242	21	meaning	mean	VERB
bracis-28350	242	22	that	that	SCONJ
bracis-28350	242	23	hybrid	hybrid	ADJ
bracis-28350	242	24	partitions	partition	NOUN
bracis-28350	242	25	led	lead	VERB
bracis-28350	242	26	to	to	ADP
bracis-28350	242	27	competitive	competitive	ADJ
bracis-28350	242	28	results	result	NOUN
bracis-28350	242	29	.	.	PUNCT
bracis-28350	243	1	the	the	DET
bracis-28350	243	2	same	same	ADJ
bracis-28350	243	3	occurs	occur	VERB
bracis-28350	243	4	with	with	ADP
bracis-28350	243	5	global	global	ADJ
bracis-28350	243	6	partitions	partition	NOUN
bracis-28350	243	7	and	and	CCONJ
bracis-28350	243	8	hybrid	hybrid	ADJ
bracis-28350	243	9	partitions	partition	NOUN
bracis-28350	243	10	from	from	ADP
bracis-28350	243	11	non	non	ADJ
bracis-28350	243	12	-	-	ADJ
bracis-28350	243	13	hierarchical	hierarchical	ADJ
bracis-28350	243	14	community	community	NOUN
bracis-28350	243	15	methods	method	NOUN
bracis-28350	243	16	.	.	PUNCT
bracis-28350	244	1	given	give	VERB
bracis-28350	244	2	that	that	DET
bracis-28350	244	3	random	random	ADJ
bracis-28350	244	4	generated	generate	VERB
bracis-28350	244	5	partitions	partition	NOUN
bracis-28350	244	6	led	lead	VERB
bracis-28350	244	7	to	to	PART
bracis-28350	244	8	results	result	NOUN
bracis-28350	244	9	equal	equal	ADJ
bracis-28350	244	10	or	or	CCONJ
bracis-28350	244	11	superior	superior	ADJ
bracis-28350	244	12	to	to	ADP
bracis-28350	244	13	the	the	DET
bracis-28350	244	14	local	local	ADJ
bracis-28350	244	15	and	and	CCONJ
bracis-28350	244	16	global	global	ADJ
bracis-28350	244	17	approaches	approach	NOUN
bracis-28350	244	18	,	,	PUNCT
bracis-28350	244	19	we	we	PRON
bracis-28350	244	20	can	can	AUX
bracis-28350	244	21	conclude	conclude	VERB
bracis-28350	244	22	that	that	PRON
bracis-28350	244	23	local	local	ADJ
bracis-28350	244	24	and	and	CCONJ
bracis-28350	244	25	global	global	ADJ
bracis-28350	244	26	-	-	PUNCT
bracis-28350	244	27	based	base	VERB
bracis-28350	244	28	methods	method	NOUN
bracis-28350	244	29	still	still	ADV
bracis-28350	244	30	need	need	VERB
bracis-28350	244	31	many	many	ADJ
bracis-28350	244	32	improvements	improvement	NOUN
bracis-28350	244	33	.	.	PUNCT
bracis-28350	245	1	thus	thus	ADV
bracis-28350	245	2	,	,	PUNCT
bracis-28350	245	3	our	our	PRON
bracis-28350	245	4	results	result	NOUN
bracis-28350	245	5	show	show	VERB
bracis-28350	245	6	that	that	SCONJ
bracis-28350	245	7	the	the	DET
bracis-28350	245	8	conventional	conventional	ADJ
bracis-28350	245	9	and	and	CCONJ
bracis-28350	245	10	widely	widely	ADV
bracis-28350	245	11	-	-	PUNCT
bracis-28350	245	12	used	use	VERB
bracis-28350	245	13	local	local	ADJ
bracis-28350	245	14	and	and	CCONJ
bracis-28350	245	15	global	global	ADJ
bracis-28350	245	16	approaches	approach	NOUN
bracis-28350	245	17	may	may	AUX
bracis-28350	245	18	not	not	PART
bracis-28350	245	19	correctly	correctly	ADV
bracis-28350	245	20	learn	learn	VERB
bracis-28350	245	21	label	label	NOUN
bracis-28350	245	22	correlations	correlation	NOUN
bracis-28350	245	23	.	.	PUNCT
bracis-28350	246	1	6	6	NUM
bracis-28350	246	2	conclusions	conclusion	NOUN
bracis-28350	246	3	and	and	CCONJ
bracis-28350	246	4	 	 	SPACE
bracis-28350	246	5	future	future	ADJ
bracis-28350	246	6	works	work	NOUN
bracis-28350	246	7	in	in	ADP
bracis-28350	246	8	this	this	DET
bracis-28350	246	9	paper	paper	NOUN
bracis-28350	246	10	,	,	PUNCT
bracis-28350	246	11	we	we	PRON
bracis-28350	246	12	presented	present	VERB
bracis-28350	246	13	an	an	DET
bracis-28350	246	14	approach	approach	NOUN
bracis-28350	246	15	that	that	PRON
bracis-28350	246	16	aims	aim	VERB
bracis-28350	246	17	to	to	PART
bracis-28350	246	18	improve	improve	VERB
bracis-28350	246	19	multi	multi	ADJ
bracis-28350	246	20	-	-	ADJ
bracis-28350	246	21	label	label	ADJ
bracis-28350	246	22	classifiers	classifier	NOUN
bracis-28350	246	23	’	'	PUNCT
bracis-28350	246	24	performances	performance	NOUN
bracis-28350	246	25	by	by	ADP
bracis-28350	246	26	partitioning	partition	VERB
bracis-28350	246	27	the	the	DET
bracis-28350	246	28	multi	multi	ADJ
bracis-28350	246	29	-	-	ADJ
bracis-28350	246	30	label	label	ADJ
bracis-28350	246	31	dataset	dataset	NOUN
bracis-28350	246	32	into	into	ADP
bracis-28350	246	33	in	in	ADP
bracis-28350	246	34	-	-	PUNCT
bracis-28350	246	35	between	between	ADP
bracis-28350	246	36	local	local	ADJ
bracis-28350	246	37	and	and	CCONJ
bracis-28350	246	38	global	global	ADJ
bracis-28350	246	39	partitions	partition	NOUN
bracis-28350	246	40	.	.	PUNCT
bracis-28350	247	1	these	these	DET
bracis-28350	247	2	so	so	ADV
bracis-28350	247	3	-	-	PUNCT
bracis-28350	247	4	called	call	VERB
bracis-28350	247	5	hybrid	hybrid	ADJ
bracis-28350	247	6	partitions	partition	NOUN
bracis-28350	247	7	are	be	AUX
bracis-28350	247	8	obtained	obtain	VERB
bracis-28350	247	9	with	with	ADP
bracis-28350	247	10	community	community	NOUN
bracis-28350	247	11	detection	detection	NOUN
bracis-28350	247	12	methods	method	NOUN
bracis-28350	247	13	by	by	ADP
bracis-28350	247	14	learning	learn	VERB
bracis-28350	247	15	label	label	NOUN
bracis-28350	247	16	correlations	correlation	NOUN
bracis-28350	247	17	in	in	ADP
bracis-28350	247	18	the	the	DET
bracis-28350	247	19	label	label	NOUN
bracis-28350	247	20	space	space	NOUN
bracis-28350	247	21	.	.	PUNCT
bracis-28350	248	1	first	first	ADV
bracis-28350	248	2	,	,	PUNCT
bracis-28350	248	3	we	we	PRON
bracis-28350	248	4	modeled	model	VERB
bracis-28350	248	5	label	label	NOUN
bracis-28350	248	6	correlations	correlation	NOUN
bracis-28350	248	7	with	with	ADP
bracis-28350	248	8	the	the	DET
bracis-28350	248	9	jaccard	jaccard	ADJ
bracis-28350	248	10	index	index	NOUN
bracis-28350	248	11	and	and	CCONJ
bracis-28350	248	12	the	the	DET
bracis-28350	248	13	rogers	rogers	PROPN
bracis-28350	248	14	-	-	PUNCT
bracis-28350	248	15	tanimoto	tanimoto	NOUN
bracis-28350	248	16	similarity	similarity	NOUN
bracis-28350	248	17	measures	measure	NOUN
bracis-28350	248	18	and	and	CCONJ
bracis-28350	248	19	used	use	VERB
bracis-28350	248	20	the	the	DET
bracis-28350	248	21	resulting	result	VERB
bracis-28350	248	22	similarity	similarity	NOUN
bracis-28350	248	23	matrices	matrix	NOUN
bracis-28350	248	24	to	to	ADP
bracis-28350	248	25	model	model	NOUN
bracis-28350	248	26	graphs	graph	NOUN
bracis-28350	248	27	.	.	PUNCT
bracis-28350	249	1	next	next	ADV
bracis-28350	249	2	,	,	PUNCT
bracis-28350	249	3	we	we	PRON
bracis-28350	249	4	applied	apply	VERB
bracis-28350	249	5	k	k	PROPN
bracis-28350	249	6	-	-	PUNCT
bracis-28350	249	7	nn	nn	ADJ
bracis-28350	249	8	and	and	CCONJ
bracis-28350	249	9	threshold	threshold	NOUN
bracis-28350	249	10	sparsification	sparsification	NOUN
bracis-28350	249	11	methods	method	NOUN
bracis-28350	249	12	to	to	PART
bracis-28350	249	13	prune	prune	VERB
bracis-28350	249	14	edges	edge	NOUN
bracis-28350	249	15	from	from	ADP
bracis-28350	249	16	the	the	DET
bracis-28350	249	17	graphs	graph	NOUN
bracis-28350	249	18	.	.	PUNCT
bracis-28350	250	1	we	we	PRON
bracis-28350	250	2	then	then	ADV
bracis-28350	250	3	applied	apply	VERB
bracis-28350	250	4	seven	seven	NUM
bracis-28350	250	5	community	community	NOUN
bracis-28350	250	6	detection	detection	NOUN
bracis-28350	250	7	methods	method	NOUN
bracis-28350	250	8	,	,	PUNCT
bracis-28350	250	9	three	three	NUM
bracis-28350	250	10	hierarchical	hierarchical	ADJ
bracis-28350	250	11	and	and	CCONJ
bracis-28350	250	12	four	four	NUM
bracis-28350	250	13	non	non	ADJ
bracis-28350	250	14	-	-	ADJ
bracis-28350	250	15	hierarchical	hierarchical	ADJ
bracis-28350	250	16	.	.	PUNCT
bracis-28350	251	1	for	for	ADP
bracis-28350	251	2	the	the	DET
bracis-28350	251	3	non	non	ADJ
bracis-28350	251	4	-	-	ADJ
bracis-28350	251	5	hierarchical	hierarchical	ADJ
bracis-28350	251	6	methods	method	NOUN
bracis-28350	251	7	,	,	PUNCT
bracis-28350	251	8	we	we	PRON
bracis-28350	251	9	generated	generate	VERB
bracis-28350	251	10	hybrid	hybrid	ADJ
bracis-28350	251	11	partitions	partition	NOUN
bracis-28350	251	12	directly	directly	ADV
bracis-28350	251	13	using	use	VERB
bracis-28350	251	14	a	a	DET
bracis-28350	251	15	training	training	NOUN
bracis-28350	251	16	set	set	NOUN
bracis-28350	251	17	and	and	CCONJ
bracis-28350	251	18	tested	test	VERB
bracis-28350	251	19	them	they	PRON
bracis-28350	251	20	with	with	ADP
bracis-28350	251	21	a	a	DET
bracis-28350	251	22	test	test	NOUN
bracis-28350	251	23	set	set	VERB
bracis-28350	251	24	.	.	PUNCT
bracis-28350	252	1	for	for	ADP
bracis-28350	252	2	hierarchical	hierarchical	ADJ
bracis-28350	252	3	methods	method	NOUN
bracis-28350	252	4	,	,	PUNCT
bracis-28350	252	5	we	we	PRON
bracis-28350	252	6	obtained	obtain	VERB
bracis-28350	252	7	dendrograms	dendrogram	NOUN
bracis-28350	252	8	that	that	PRON
bracis-28350	252	9	were	be	AUX
bracis-28350	252	10	cut	cut	VERB
bracis-28350	252	11	into	into	ADP
bracis-28350	252	12	levels	level	NOUN
bracis-28350	252	13	to	to	PART
bracis-28350	252	14	generate	generate	VERB
bracis-28350	252	15	several	several	ADJ
bracis-28350	252	16	hybrid	hybrid	ADJ
bracis-28350	252	17	partitions	partition	NOUN
bracis-28350	252	18	,	,	PUNCT
bracis-28350	252	19	also	also	ADV
bracis-28350	252	20	using	use	VERB
bracis-28350	252	21	a	a	DET
bracis-28350	252	22	training	training	NOUN
bracis-28350	252	23	set	set	NOUN
bracis-28350	252	24	.	.	PUNCT
bracis-28350	253	1	then	then	ADV
bracis-28350	253	2	,	,	PUNCT
bracis-28350	253	3	we	we	PRON
bracis-28350	253	4	validated	validate	VERB
bracis-28350	253	5	those	those	DET
bracis-28350	253	6	partitions	partition	NOUN
bracis-28350	253	7	with	with	ADP
bracis-28350	253	8	a	a	DET
bracis-28350	253	9	silhouette	silhouette	NOUN
bracis-28350	253	10	coefficient	coefficient	NOUN
bracis-28350	253	11	using	use	VERB
bracis-28350	253	12	a	a	DET
bracis-28350	253	13	validation	validation	NOUN
bracis-28350	253	14	set	set	NOUN
bracis-28350	253	15	.	.	PUNCT
bracis-28350	254	1	finally	finally	ADV
bracis-28350	254	2	,	,	PUNCT
bracis-28350	254	3	the	the	DET
bracis-28350	254	4	hybrid	hybrid	ADJ
bracis-28350	254	5	partition	partition	NOUN
bracis-28350	254	6	with	with	ADP
bracis-28350	254	7	the	the	DET
bracis-28350	254	8	highest	high	ADJ
bracis-28350	254	9	coefficient	coefficient	NOUN
bracis-28350	254	10	value	value	NOUN
bracis-28350	254	11	was	be	AUX
bracis-28350	254	12	tested	test	VERB
bracis-28350	254	13	.	.	PUNCT
bracis-28350	255	1	our	our	PRON
bracis-28350	255	2	results	result	NOUN
bracis-28350	255	3	showed	show	VERB
bracis-28350	255	4	that	that	SCONJ
bracis-28350	255	5	our	our	PRON
bracis-28350	255	6	proposed	propose	VERB
bracis-28350	255	7	approach	approach	NOUN
bracis-28350	255	8	could	could	AUX
bracis-28350	255	9	obtain	obtain	VERB
bracis-28350	255	10	better	well	ADJ
bracis-28350	255	11	or	or	CCONJ
bracis-28350	255	12	more	more	ADV
bracis-28350	255	13	competitive	competitive	ADJ
bracis-28350	255	14	results	result	NOUN
bracis-28350	255	15	in	in	ADP
bracis-28350	255	16	several	several	ADJ
bracis-28350	255	17	datasets	dataset	NOUN
bracis-28350	255	18	when	when	SCONJ
bracis-28350	255	19	compared	compare	VERB
bracis-28350	255	20	to	to	ADP
bracis-28350	255	21	conventional	conventional	ADJ
bracis-28350	255	22	local	local	ADJ
bracis-28350	255	23	and	and	CCONJ
bracis-28350	255	24	global	global	ADJ
bracis-28350	255	25	approaches	approach	NOUN
bracis-28350	255	26	.	.	PUNCT
bracis-28350	256	1	we	we	PRON
bracis-28350	256	2	also	also	ADV
bracis-28350	256	3	compared	compare	VERB
bracis-28350	256	4	the	the	DET
bracis-28350	256	5	results	result	NOUN
bracis-28350	256	6	obtained	obtain	VERB
bracis-28350	256	7	by	by	ADP
bracis-28350	256	8	the	the	DET
bracis-28350	256	9	global	global	ADJ
bracis-28350	256	10	and	and	CCONJ
bracis-28350	256	11	local	local	ADJ
bracis-28350	256	12	approaches	approach	NOUN
bracis-28350	256	13	with	with	ADP
bracis-28350	256	14	the	the	DET
bracis-28350	256	15	ones	one	NOUN
bracis-28350	256	16	obtained	obtain	VERB
bracis-28350	256	17	using	use	VERB
bracis-28350	256	18	random	random	ADJ
bracis-28350	256	19	generated	generate	VERB
bracis-28350	256	20	partitions	partition	NOUN
bracis-28350	256	21	.	.	PUNCT
bracis-28350	257	1	we	we	PRON
bracis-28350	257	2	could	could	AUX
bracis-28350	257	3	verify	verify	VERB
bracis-28350	257	4	if	if	SCONJ
bracis-28350	257	5	the	the	DET
bracis-28350	257	6	partitioning	partitioning	NOUN
bracis-28350	257	7	improved	improve	VERB
bracis-28350	257	8	the	the	DET
bracis-28350	257	9	prediction	prediction	NOUN
bracis-28350	257	10	power	power	NOUN
bracis-28350	257	11	of	of	ADP
bracis-28350	257	12	the	the	DET
bracis-28350	257	13	classifier	classifier	NOUN
bracis-28350	257	14	.	.	PUNCT
bracis-28350	258	1	we	we	PRON
bracis-28350	258	2	concluded	conclude	VERB
bracis-28350	258	3	that	that	SCONJ
bracis-28350	258	4	there	there	PRON
bracis-28350	258	5	is	be	VERB
bracis-28350	258	6	no	no	DET
bracis-28350	258	7	vast	vast	ADJ
bracis-28350	258	8	improvement	improvement	NOUN
bracis-28350	258	9	besides	besides	SCONJ
bracis-28350	258	10	our	our	PRON
bracis-28350	258	11	competitive	competitive	ADJ
bracis-28350	258	12	results	result	NOUN
bracis-28350	258	13	,	,	PUNCT
bracis-28350	258	14	and	and	CCONJ
bracis-28350	258	15	independently	independently	ADV
bracis-28350	258	16	of	of	ADP
bracis-28350	258	17	the	the	DET
bracis-28350	258	18	partitioning	partitioning	NOUN
bracis-28350	258	19	used	use	VERB
bracis-28350	258	20	.	.	PUNCT
bracis-28350	259	1	according	accord	VERB
bracis-28350	259	2	to	to	ADP
bracis-28350	259	3	the	the	DET
bracis-28350	259	4	results	result	NOUN
bracis-28350	259	5	obtained	obtain	VERB
bracis-28350	259	6	when	when	SCONJ
bracis-28350	259	7	using	use	VERB
bracis-28350	259	8	the	the	DET
bracis-28350	259	9	missing	miss	VERB
bracis-28350	259	10	label	label	NOUN
bracis-28350	259	11	problem	problem	NOUN
bracis-28350	259	12	measure	measure	NOUN
bracis-28350	259	13	,	,	PUNCT
bracis-28350	259	14	this	this	PRON
bracis-28350	259	15	probably	probably	ADV
bracis-28350	259	16	occurred	occur	VERB
bracis-28350	259	17	because	because	SCONJ
bracis-28350	259	18	most	most	ADJ
bracis-28350	259	19	labels	label	NOUN
bracis-28350	259	20	were	be	AUX
bracis-28350	259	21	not	not	PART
bracis-28350	259	22	learned	learn	VERB
bracis-28350	259	23	by	by	ADP
bracis-28350	259	24	the	the	DET
bracis-28350	259	25	classifier	classifier	NOUN
bracis-28350	259	26	,	,	PUNCT
bracis-28350	259	27	even	even	ADV
bracis-28350	259	28	by	by	ADP
bracis-28350	259	29	traditional	traditional	ADJ
bracis-28350	259	30	approaches	approach	NOUN
bracis-28350	259	31	.	.	PUNCT
bracis-28350	260	1	therefore	therefore	ADV
bracis-28350	260	2	,	,	PUNCT
bracis-28350	260	3	we	we	PRON
bracis-28350	260	4	can	can	AUX
bracis-28350	260	5	conclude	conclude	VERB
bracis-28350	260	6	that	that	SCONJ
bracis-28350	260	7	the	the	DET
bracis-28350	260	8	local	local	ADJ
bracis-28350	260	9	and	and	CCONJ
bracis-28350	260	10	global	global	ADJ
bracis-28350	260	11	approaches	approach	NOUN
bracis-28350	260	12	still	still	ADV
bracis-28350	260	13	need	need	VERB
bracis-28350	260	14	many	many	ADJ
bracis-28350	260	15	improvements	improvement	NOUN
bracis-28350	260	16	and	and	CCONJ
bracis-28350	260	17	may	may	AUX
bracis-28350	260	18	not	not	PART
bracis-28350	260	19	correctly	correctly	ADV
bracis-28350	260	20	learn	learn	VERB
bracis-28350	260	21	label	label	NOUN
bracis-28350	260	22	correlations	correlation	NOUN
bracis-28350	260	23	.	.	PUNCT
bracis-28350	261	1	in	in	ADP
bracis-28350	261	2	future	future	ADJ
bracis-28350	261	3	works	work	NOUN
bracis-28350	261	4	,	,	PUNCT
bracis-28350	261	5	we	we	PRON
bracis-28350	261	6	intend	intend	VERB
bracis-28350	261	7	to	to	PART
bracis-28350	261	8	explore	explore	VERB
bracis-28350	261	9	other	other	ADJ
bracis-28350	261	10	multi	multi	ADJ
bracis-28350	261	11	-	-	ADJ
bracis-28350	261	12	label	label	ADJ
bracis-28350	261	13	evaluation	evaluation	NOUN
bracis-28350	261	14	measures	measure	NOUN
bracis-28350	261	15	,	,	PUNCT
bracis-28350	261	16	such	such	ADJ
bracis-28350	261	17	as	as	ADP
bracis-28350	261	18	wrong	wrong	ADJ
bracis-28350	261	19	label	label	NOUN
bracis-28350	261	20	problem	problem	NOUN
bracis-28350	261	21	and	and	CCONJ
bracis-28350	261	22	constant	constant	ADJ
bracis-28350	261	23	label	label	NOUN
bracis-28350	261	24	problem	problem	NOUN
bracis-28350	261	25	 	 	SPACE
bracis-28350	262	1	[	[	X
bracis-28350	262	2	26	26	NUM
bracis-28350	262	3	]	]	PUNCT
bracis-28350	262	4	,	,	PUNCT
bracis-28350	262	5	and	and	CCONJ
bracis-28350	262	6	also	also	ADV
bracis-28350	262	7	use	use	VERB
bracis-28350	262	8	other	other	ADJ
bracis-28350	262	9	base	base	NOUN
bracis-28350	262	10	classifiers	classifier	NOUN
bracis-28350	262	11	to	to	PART
bracis-28350	262	12	test	test	VERB
bracis-28350	262	13	the	the	DET
bracis-28350	262	14	generated	generate	VERB
bracis-28350	262	15	partitions	partition	NOUN
bracis-28350	262	16	.	.	PUNCT
bracis-28350	263	1	with	with	ADP
bracis-28350	263	2	this	this	PRON
bracis-28350	263	3	,	,	PUNCT
bracis-28350	263	4	we	we	PRON
bracis-28350	263	5	will	will	AUX
bracis-28350	263	6	be	be	AUX
bracis-28350	263	7	able	able	ADJ
bracis-28350	263	8	to	to	PART
bracis-28350	263	9	compare	compare	VERB
bracis-28350	263	10	the	the	DET
bracis-28350	263	11	results	result	NOUN
bracis-28350	263	12	from	from	ADP
bracis-28350	263	13	different	different	ADJ
bracis-28350	263	14	classifiers	classifier	NOUN
bracis-28350	263	15	,	,	PUNCT
bracis-28350	263	16	verify	verify	VERB
bracis-28350	263	17	possible	possible	ADJ
bracis-28350	263	18	improvements	improvement	NOUN
bracis-28350	263	19	,	,	PUNCT
bracis-28350	263	20	and	and	CCONJ
bracis-28350	263	21	recommend	recommend	VERB
bracis-28350	263	22	the	the	DET
bracis-28350	263	23	best	good	ADJ
bracis-28350	263	24	classifier	classifier	NOUN
bracis-28350	263	25	and	and	CCONJ
bracis-28350	263	26	label	label	NOUN
bracis-28350	263	27	partition	partition	NOUN
bracis-28350	263	28	for	for	ADP
bracis-28350	263	29	a	a	DET
bracis-28350	263	30	given	give	VERB
bracis-28350	263	31	dataset	dataset	NOUN
bracis-28350	263	32	.	.	PUNCT
bracis-28350	264	1	notes	note	VERB
bracis-28350	264	2	1.https://dtai.cs.kuleuven.be/clus/.	1.https://dtai.cs.kuleuven.be/clus/.	PROPN
bracis-28350	264	3	2.https://github.com/cissagatto/bracis2023/.	2.https://github.com/cissagatto/bracis2023/.	NUM
bracis-28350	264	4	3.computes	3.computes	NUM
bracis-28350	264	5	the	the	DET
bracis-28350	264	6	number	number	NOUN
bracis-28350	264	7	of	of	ADP
bracis-28350	264	8	instances	instance	NOUN
bracis-28350	264	9	classified	classify	VERB
bracis-28350	264	10	in	in	ADP
bracis-28350	264	11	all	all	DET
bracis-28350	264	12	pairs	pair	NOUN
bracis-28350	264	13	of	of	ADP
bracis-28350	264	14	labels	label	NOUN
bracis-28350	264	15	.	.	PUNCT
bracis-28350	265	1	4.for	4.for	ADP
bracis-28350	265	2	the	the	DET
bracis-28350	265	3	sake	sake	NOUN
bracis-28350	265	4	of	of	ADP
bracis-28350	265	5	space	space	NOUN
bracis-28350	265	6	and	and	CCONJ
bracis-28350	265	7	better	well	ADJ
bracis-28350	265	8	presentation	presentation	NOUN
bracis-28350	265	9	,	,	PUNCT
bracis-28350	265	10	the	the	DET
bracis-28350	265	11	tables	table	NOUN
bracis-28350	265	12	with	with	ADP
bracis-28350	265	13	all	all	DET
bracis-28350	265	14	the	the	DET
bracis-28350	265	15	performance	performance	NOUN
bracis-28350	265	16	values	value	NOUN
bracis-28350	265	17	were	be	AUX
bracis-28350	265	18	not	not	PART
bracis-28350	265	19	included	include	VERB
bracis-28350	265	20	in	in	ADP
bracis-28350	265	21	this	this	DET
bracis-28350	265	22	paper	paper	NOUN
bracis-28350	265	23	but	but	CCONJ
bracis-28350	265	24	are	be	AUX
bracis-28350	265	25	available	available	ADJ
bracis-28350	265	26	in	in	ADP
bracis-28350	265	27	the	the	DET
bracis-28350	265	28	repository	repository	NOUN
bracis-28350	265	29	.	.	PUNCT
bracis-28350	266	1	references	reference	NOUN
bracis-28350	266	2	basgalupp	basgalupp	PROPN
bracis-28350	266	3	,	,	PUNCT
bracis-28350	266	4	m.	m.	NOUN
bracis-28350	266	5	,	,	PUNCT
bracis-28350	266	6	cerri	cerri	PROPN
bracis-28350	266	7	,	,	PUNCT
bracis-28350	266	8	r.	r.	PROPN
bracis-28350	266	9	,	,	PUNCT
bracis-28350	266	10	schietgat	schietgat	PROPN
bracis-28350	266	11	,	,	PUNCT
bracis-28350	266	12	l.	l.	PROPN
bracis-28350	266	13	,	,	PUNCT
bracis-28350	266	14	triguero	triguero	PROPN
bracis-28350	266	15	,	,	PUNCT
bracis-28350	266	16	i.	i.	PROPN
bracis-28350	266	17	,	,	PUNCT
bracis-28350	266	18	vens	vens	PROPN
bracis-28350	266	19	,	,	PUNCT
bracis-28350	266	20	c.	c.	NOUN
bracis-28350	266	21	:	:	PUNCT
bracis-28350	266	22	beyond	beyond	ADP
bracis-28350	266	23	global	global	ADJ
bracis-28350	266	24	and	and	CCONJ
bracis-28350	266	25	local	local	ADJ
bracis-28350	266	26	multi	multi	ADJ
bracis-28350	266	27	-	-	ADJ
bracis-28350	266	28	target	target	ADJ
bracis-28350	266	29	learning	learning	NOUN
bracis-28350	266	30	.	.	PUNCT
bracis-28350	267	1	inf	inf	PROPN
bracis-28350	267	2	.	.	PUNCT
bracis-28350	268	1	sci	sci	PROPN
bracis-28350	268	2	.	.	PROPN
bracis-28350	269	1	579	579	NUM
bracis-28350	269	2	,	,	PUNCT
bracis-28350	269	3	508–524	508–524	NUM
bracis-28350	269	4	(	(	PUNCT
bracis-28350	269	5	2021	2021	NUM
bracis-28350	269	6	)	)	PUNCT
bracis-28350	269	7	google	google	NOUN
bracis-28350	269	8	scholar	scholar	NOUN
bracis-28350	269	9	  	  	SPACE
bracis-28350	269	10	blondel	blondel	NOUN
bracis-28350	269	11	,	,	PUNCT
bracis-28350	269	12	v.d	v.d	PROPN
bracis-28350	269	13	.	.	PROPN
bracis-28350	269	14	,	,	PUNCT
bracis-28350	269	15	guillaume	guillaume	PROPN
bracis-28350	269	16	,	,	PUNCT
bracis-28350	269	17	j.l	j.l	PROPN
bracis-28350	269	18	.	.	PROPN
bracis-28350	269	19	,	,	PUNCT
bracis-28350	269	20	lambiotte	lambiotte	PROPN
bracis-28350	269	21	,	,	PUNCT
bracis-28350	269	22	r.	r.	PROPN
bracis-28350	269	23	,	,	PUNCT
bracis-28350	269	24	lefebvre	lefebvre	PROPN
bracis-28350	269	25	,	,	PUNCT
bracis-28350	269	26	e.	e.	PROPN
bracis-28350	269	27	:	:	PUNCT
bracis-28350	269	28	fast	fast	ADJ
bracis-28350	269	29	unfolding	unfolding	NOUN
bracis-28350	269	30	of	of	ADP
bracis-28350	269	31	communities	community	NOUN
bracis-28350	269	32	in	in	ADP
bracis-28350	269	33	large	large	ADJ
bracis-28350	269	34	networks	network	NOUN
bracis-28350	269	35	.	.	PUNCT
bracis-28350	270	1	j.	j.	PROPN
bracis-28350	270	2	stat	stat	PROPN
bracis-28350	270	3	.	.	PUNCT
bracis-28350	271	1	mech	mech	PROPN
bracis-28350	271	2	.	.	PUNCT
bracis-28350	272	1	theory	theory	PROPN
bracis-28350	272	2	exp	exp	PROPN
bracis-28350	272	3	.	.	PROPN
bracis-28350	272	4	2008	2008	NUM
bracis-28350	272	5	,	,	PUNCT
bracis-28350	272	6	p10008	p10008	PROPN
bracis-28350	272	7	(	(	PUNCT
bracis-28350	272	8	2008	2008	NUM
bracis-28350	272	9	)	)	PUNCT
bracis-28350	272	10	google	google	PROPN
bracis-28350	272	11	scholar	scholar	NOUN
bracis-28350	272	12	  	  	SPACE
bracis-28350	272	13	bogatinovski	bogatinovski	NOUN
bracis-28350	272	14	,	,	PUNCT
bracis-28350	272	15	j.	j.	PROPN
bracis-28350	272	16	,	,	PUNCT
bracis-28350	273	1	todorovski	todorovski	PROPN
bracis-28350	273	2	,	,	PUNCT
bracis-28350	273	3	l.	l.	PROPN
bracis-28350	273	4	,	,	PUNCT
bracis-28350	273	5	džeroski	džeroski	PROPN
bracis-28350	273	6	,	,	PUNCT
bracis-28350	273	7	s.	s.	PROPN
bracis-28350	273	8	,	,	PUNCT
bracis-28350	273	9	kocev	kocev	PROPN
bracis-28350	273	10	,	,	PUNCT
bracis-28350	273	11	d.	d.	PROPN
bracis-28350	273	12	:	:	PUNCT
bracis-28350	273	13	comprehensive	comprehensive	ADJ
bracis-28350	273	14	comparative	comparative	ADJ
bracis-28350	273	15	study	study	NOUN
bracis-28350	273	16	of	of	ADP
bracis-28350	273	17	multi	multi	ADJ
bracis-28350	273	18	-	-	ADJ
bracis-28350	273	19	label	label	ADJ
bracis-28350	273	20	classification	classification	NOUN
bracis-28350	273	21	methods	method	NOUN
bracis-28350	273	22	.	.	PUNCT
bracis-28350	274	1	expert	expert	NOUN
bracis-28350	274	2	syst	syst	PROPN
bracis-28350	274	3	.	.	PUNCT
bracis-28350	275	1	appl	appl	PROPN
bracis-28350	275	2	.	.	PROPN
bracis-28350	275	3	203	203	NUM
bracis-28350	275	4	,	,	PUNCT
bracis-28350	275	5	117215	117215	NUM
bracis-28350	275	6	(	(	PUNCT
bracis-28350	275	7	2022	2022	NUM
bracis-28350	275	8	)	)	PUNCT
bracis-28350	275	9	google	google	PROPN
bracis-28350	275	10	scholar	scholar	NOUN
bracis-28350	275	11	  	  	SPACE
bracis-28350	275	12	chang	chang	PROPN
bracis-28350	275	13	,	,	PUNCT
bracis-28350	275	14	w.	w.	PROPN
bracis-28350	275	15	,	,	PUNCT
bracis-28350	275	16	yu	yu	PROPN
bracis-28350	275	17	,	,	PUNCT
bracis-28350	275	18	h.	h.	PROPN
bracis-28350	275	19	,	,	PUNCT
bracis-28350	275	20	zhong	zhong	PROPN
bracis-28350	275	21	,	,	PUNCT
bracis-28350	275	22	k.	k.	PROPN
bracis-28350	275	23	,	,	PUNCT
bracis-28350	275	24	yang	yang	PROPN
bracis-28350	275	25	,	,	PUNCT
bracis-28350	275	26	y.	y.	PROPN
bracis-28350	275	27	,	,	PUNCT
bracis-28350	275	28	dhillon	dhillon	PROPN
bracis-28350	275	29	,	,	PUNCT
bracis-28350	275	30	i.s	i.s	PROPN
bracis-28350	275	31	.	.	PROPN
bracis-28350	275	32	:	:	PUNCT
bracis-28350	276	1	a	a	DET
bracis-28350	276	2	modular	modular	ADJ
bracis-28350	276	3	deep	deep	ADJ
bracis-28350	276	4	learning	learning	NOUN
bracis-28350	276	5	approach	approach	NOUN
bracis-28350	276	6	for	for	ADP
bracis-28350	276	7	extreme	extreme	ADJ
bracis-28350	276	8	multi	multi	ADJ
bracis-28350	276	9	-	-	ADJ
bracis-28350	276	10	label	label	ADJ
bracis-28350	276	11	text	text	NOUN
bracis-28350	276	12	classification	classification	NOUN
bracis-28350	276	13	.	.	PUNCT
bracis-28350	277	1	corr	corr	PROPN
bracis-28350	277	2	abs/1905.02331	abs/1905.02331	PROPN
bracis-28350	277	3	(	(	PUNCT
bracis-28350	277	4	2019	2019	NUM
bracis-28350	277	5	)	)	PUNCT
bracis-28350	277	6	google	google	PROPN
bracis-28350	277	7	scholar	scholar	NOUN
bracis-28350	277	8	  	  	SPACE
bracis-28350	277	9	charte	charte	NOUN
bracis-28350	277	10	,	,	PUNCT
bracis-28350	277	11	f.	f.	PROPN
bracis-28350	277	12	,	,	PUNCT
bracis-28350	277	13	rivera	rivera	PROPN
bracis-28350	277	14	,	,	PUNCT
bracis-28350	277	15	a.	a.	PROPN
bracis-28350	277	16	,	,	PUNCT
bracis-28350	277	17	del	del	PROPN
bracis-28350	277	18	jesus	jesus	PROPN
bracis-28350	277	19	,	,	PUNCT
bracis-28350	277	20	m.j	m.j	PROPN
bracis-28350	277	21	.	.	PROPN
bracis-28350	277	22	,	,	PUNCT
bracis-28350	277	23	herrera	herrera	PROPN
bracis-28350	277	24	,	,	PUNCT
bracis-28350	277	25	f.	f.	PROPN
bracis-28350	277	26	:	:	PUNCT
bracis-28350	277	27	on	on	ADP
bracis-28350	277	28	the	the	DET
bracis-28350	277	29	impact	impact	NOUN
bracis-28350	277	30	of	of	ADP
bracis-28350	277	31	dataset	dataset	ADJ
bracis-28350	277	32	complexity	complexity	NOUN
bracis-28350	277	33	and	and	CCONJ
bracis-28350	277	34	sampling	sample	VERB
bracis-28350	277	35	strategy	strategy	NOUN
bracis-28350	277	36	in	in	ADP
bracis-28350	277	37	multilabel	multilabel	NOUN
bracis-28350	277	38	classifiers	classifier	NOUN
bracis-28350	277	39	performance	performance	NOUN
bracis-28350	277	40	.	.	PUNCT
bracis-28350	278	1	in	in	ADP
bracis-28350	278	2	:	:	PUNCT
bracis-28350	278	3	hybrid	hybrid	ADJ
bracis-28350	278	4	artificial	artificial	ADJ
bracis-28350	278	5	intelligent	intelligent	ADJ
bracis-28350	278	6	systems	system	NOUN
bracis-28350	278	7	,	,	PUNCT
bracis-28350	278	8	pp	pp	ADJ
bracis-28350	278	9	.	.	PUNCT
bracis-28350	279	1	500–511	500–511	NUM
bracis-28350	279	2	.	.	PUNCT
bracis-28350	280	1	springer	springer	NOUN
bracis-28350	280	2	international	international	PROPN
bracis-28350	280	3	publishing	publishing	NOUN
bracis-28350	280	4	(	(	PUNCT
bracis-28350	280	5	2016	2016	NUM
bracis-28350	280	6	)	)	PUNCT
bracis-28350	280	7	google	google	PROPN
bracis-28350	280	8	scholar	scholar	NOUN
bracis-28350	280	9	  	  	SPACE
bracis-28350	280	10	choi	choi	NOUN
bracis-28350	280	11	,	,	PUNCT
bracis-28350	280	12	s.	s.	PROPN
bracis-28350	280	13	,	,	PUNCT
bracis-28350	280	14	cha	cha	PROPN
bracis-28350	280	15	,	,	PUNCT
bracis-28350	280	16	s.	s.	PROPN
bracis-28350	280	17	,	,	PUNCT
bracis-28350	280	18	tappert	tappert	PROPN
bracis-28350	280	19	,	,	PUNCT
bracis-28350	280	20	c.c	c.c	PROPN
bracis-28350	280	21	.	.	PROPN
bracis-28350	280	22	:	:	PUNCT
bracis-28350	280	23	a	a	DET
bracis-28350	280	24	survey	survey	NOUN
bracis-28350	280	25	of	of	ADP
bracis-28350	280	26	binary	binary	ADJ
bracis-28350	280	27	similarity	similarity	NOUN
bracis-28350	280	28	and	and	CCONJ
bracis-28350	280	29	distance	distance	NOUN
bracis-28350	280	30	measures	measure	NOUN
bracis-28350	280	31	.	.	PUNCT
bracis-28350	281	1	j.	j.	PROPN
bracis-28350	281	2	systemics	systemics	PROPN
bracis-28350	281	3	cybern	cybern	PROPN
bracis-28350	281	4	.	.	PUNCT
bracis-28350	282	1	inform	inform	NOUN
bracis-28350	282	2	.	.	PUNCT
bracis-28350	283	1	8	8	NUM
bracis-28350	283	2	,	,	PUNCT
bracis-28350	283	3	43–48	43–48	NUM
bracis-28350	283	4	(	(	PUNCT
bracis-28350	283	5	2010	2010	NUM
bracis-28350	283	6	)	)	PUNCT
bracis-28350	283	7	google	google	PROPN
bracis-28350	283	8	scholar	scholar	NOUN
bracis-28350	283	9	  	  	SPACE
bracis-28350	283	10	chu	chu	PROPN
bracis-28350	283	11	,	,	PUNCT
bracis-28350	283	12	y.	y.	PROPN
bracis-28350	283	13	,	,	PUNCT
bracis-28350	283	14	et	et	PROPN
bracis-28350	283	15	al	al	PROPN
bracis-28350	283	16	.	.	PROPN
bracis-28350	283	17	:	:	PUNCT
bracis-28350	284	1	dti	dti	PROPN
bracis-28350	284	2	-	-	PUNCT
bracis-28350	284	3	mlcd	mlcd	PROPN
bracis-28350	284	4	:	:	PUNCT
bracis-28350	284	5	predicting	predict	VERB
bracis-28350	284	6	drug	drug	NOUN
bracis-28350	284	7	-	-	PUNCT
bracis-28350	284	8	target	target	NOUN
bracis-28350	284	9	interactions	interaction	NOUN
bracis-28350	284	10	using	use	VERB
bracis-28350	284	11	multi	multi	ADJ
bracis-28350	284	12	-	-	ADJ
bracis-28350	284	13	label	label	ADJ
bracis-28350	284	14	learning	learning	NOUN
bracis-28350	284	15	with	with	ADP
bracis-28350	284	16	community	community	NOUN
bracis-28350	284	17	detection	detection	NOUN
bracis-28350	284	18	method	method	NOUN
bracis-28350	284	19	.	.	PUNCT
bracis-28350	285	1	briefings	briefing	NOUN
bracis-28350	285	2	in	in	ADP
bracis-28350	285	3	bioinform	bioinform	NOUN
bracis-28350	285	4	.	.	PUNCT
bracis-28350	286	1	22	22	NUM
bracis-28350	286	2	,	,	PUNCT
bracis-28350	286	3	bbaa205	bbaa205	PROPN
bracis-28350	286	4	(	(	PUNCT
bracis-28350	286	5	2020	2020	NUM
bracis-28350	286	6	)	)	PUNCT
bracis-28350	286	7	google	google	PROPN
bracis-28350	286	8	scholar	scholar	NOUN
bracis-28350	286	9	  	  	SPACE
bracis-28350	286	10	clare	clare	NOUN
bracis-28350	286	11	,	,	PUNCT
bracis-28350	286	12	a.	a.	NOUN
bracis-28350	286	13	,	,	PUNCT
bracis-28350	286	14	king	king	NOUN
bracis-28350	286	15	,	,	PUNCT
bracis-28350	286	16	r.d	r.d	PROPN
bracis-28350	286	17	.	.	PROPN
bracis-28350	286	18	:	:	PUNCT
bracis-28350	286	19	predicting	predict	VERB
bracis-28350	286	20	gene	gene	NOUN
bracis-28350	286	21	function	function	NOUN
bracis-28350	286	22	in	in	ADP
bracis-28350	286	23	saccharomyces	saccharomyce	NOUN
bracis-28350	286	24	cerevisiae	cerevisiae	NOUN
bracis-28350	286	25	.	.	PUNCT
bracis-28350	287	1	in	in	ADP
bracis-28350	287	2	:	:	PUNCT
bracis-28350	287	3	proceedings	proceeding	NOUN
bracis-28350	287	4	of	of	ADP
bracis-28350	287	5	the	the	DET
bracis-28350	287	6	european	european	PROPN
bracis-28350	287	7	conference	conference	PROPN
bracis-28350	287	8	on	on	ADP
bracis-28350	287	9	computational	computational	ADJ
bracis-28350	287	10	biology	biology	NOUN
bracis-28350	287	11	(	(	PUNCT
bracis-28350	287	12	eccb	eccb	PROPN
bracis-28350	287	13	2003	2003	NUM
bracis-28350	287	14	)	)	PUNCT
bracis-28350	287	15	,	,	PUNCT
bracis-28350	287	16	september	september	PROPN
bracis-28350	287	17	27–30	27–30	NUM
bracis-28350	287	18	,	,	PUNCT
bracis-28350	287	19	2003	2003	NUM
bracis-28350	287	20	,	,	PUNCT
bracis-28350	287	21	paris	paris	PROPN
bracis-28350	287	22	,	,	PUNCT
bracis-28350	287	23	france	france	PROPN
bracis-28350	287	24	,	,	PUNCT
bracis-28350	287	25	pp	pp	X
bracis-28350	287	26	.	.	PUNCT
bracis-28350	288	1	42–49	42–49	NUM
bracis-28350	288	2	(	(	PUNCT
bracis-28350	288	3	2003	2003	NUM
bracis-28350	288	4	)	)	PUNCT
bracis-28350	288	5	google	google	PROPN
bracis-28350	288	6	scholar	scholar	NOUN
bracis-28350	288	7	  	  	SPACE
bracis-28350	288	8	clauset	clauset	NOUN
bracis-28350	288	9	,	,	PUNCT
bracis-28350	288	10	a.	a.	PROPN
bracis-28350	288	11	,	,	PUNCT
bracis-28350	288	12	newman	newman	PROPN
bracis-28350	288	13	,	,	PUNCT
bracis-28350	288	14	m.e.j	m.e.j	PROPN
bracis-28350	288	15	.	.	PROPN
bracis-28350	288	16	,	,	PUNCT
bracis-28350	288	17	moore	moore	PROPN
bracis-28350	288	18	,	,	PUNCT
bracis-28350	288	19	c.	c.	PROPN
bracis-28350	288	20	:	:	PUNCT
bracis-28350	288	21	finding	find	VERB
bracis-28350	288	22	community	community	NOUN
bracis-28350	288	23	structure	structure	NOUN
bracis-28350	288	24	in	in	ADP
bracis-28350	288	25	very	very	ADV
bracis-28350	288	26	large	large	ADJ
bracis-28350	288	27	networks	network	NOUN
bracis-28350	288	28	.	.	PUNCT
bracis-28350	289	1	phys	phy	NOUN
bracis-28350	289	2	.	.	PUNCT
bracis-28350	290	1	rev	rev	PROPN
bracis-28350	290	2	.	.	PUNCT
bracis-28350	291	1	e	e	PROPN
bracis-28350	291	2	70	70	NUM
bracis-28350	291	3	,	,	PUNCT
bracis-28350	291	4	066111	066111	NUM
bracis-28350	291	5	(	(	PUNCT
bracis-28350	291	6	2004	2004	NUM
bracis-28350	291	7	)	)	PUNCT
bracis-28350	291	8	google	google	NOUN
bracis-28350	291	9	scholar	scholar	NOUN
bracis-28350	291	10	  	  	SPACE
bracis-28350	291	11	demšar	demšar	NOUN
bracis-28350	291	12	,	,	PUNCT
bracis-28350	291	13	j.	j.	PROPN
bracis-28350	291	14	:	:	PUNCT
bracis-28350	291	15	statistical	statistical	ADJ
bracis-28350	291	16	comparisons	comparison	NOUN
bracis-28350	291	17	of	of	ADP
bracis-28350	291	18	classifiers	classifier	NOUN
bracis-28350	291	19	over	over	ADP
bracis-28350	291	20	multiple	multiple	ADJ
bracis-28350	291	21	data	datum	NOUN
bracis-28350	291	22	sets	set	NOUN
bracis-28350	291	23	.	.	PUNCT
bracis-28350	292	1	j.	j.	PROPN
bracis-28350	292	2	mach	mach	PROPN
bracis-28350	292	3	.	.	PUNCT
bracis-28350	293	1	learn	learn	VERB
bracis-28350	293	2	.	.	PUNCT
bracis-28350	294	1	res	re	NOUN
bracis-28350	294	2	.	.	PROPN
bracis-28350	295	1	7	7	NUM
bracis-28350	295	2	,	,	PUNCT
bracis-28350	295	3	1–30	1–30	PROPN
bracis-28350	295	4	(	(	PUNCT
bracis-28350	295	5	2006	2006	NUM
bracis-28350	295	6	)	)	PUNCT
bracis-28350	295	7	google	google	PROPN
bracis-28350	295	8	scholar	scholar	NOUN
bracis-28350	295	9	  	  	SPACE
bracis-28350	295	10	garg	garg	NOUN
bracis-28350	295	11	,	,	PUNCT
bracis-28350	295	12	a.	a.	PROPN
bracis-28350	295	13	,	,	PUNCT
bracis-28350	295	14	enright	enright	PROPN
bracis-28350	295	15	,	,	PUNCT
bracis-28350	295	16	c.g	c.g	PROPN
bracis-28350	295	17	.	.	PROPN
bracis-28350	295	18	,	,	PUNCT
bracis-28350	295	19	madden	madden	PROPN
bracis-28350	295	20	,	,	PUNCT
bracis-28350	295	21	m.g	m.g	PROPN
bracis-28350	295	22	.	.	PROPN
bracis-28350	295	23	:	:	PUNCT
bracis-28350	296	1	on	on	ADP
bracis-28350	296	2	asymmetric	asymmetric	ADJ
bracis-28350	296	3	similarity	similarity	NOUN
bracis-28350	296	4	search	search	NOUN
bracis-28350	296	5	.	.	PUNCT
bracis-28350	297	1	in	in	ADP
bracis-28350	297	2	:	:	PUNCT
bracis-28350	297	3	2015	2015	NUM
bracis-28350	297	4	ieee	ieee	NOUN
bracis-28350	297	5	14th	14th	ADJ
bracis-28350	297	6	international	international	ADJ
bracis-28350	297	7	conference	conference	NOUN
bracis-28350	297	8	on	on	ADP
bracis-28350	297	9	machine	machine	NOUN
bracis-28350	297	10	learning	learning	NOUN
bracis-28350	297	11	and	and	CCONJ
bracis-28350	297	12	applications	application	NOUN
bracis-28350	297	13	(	(	PUNCT
bracis-28350	297	14	icmla	icmla	NOUN
bracis-28350	297	15	)	)	PUNCT
bracis-28350	297	16	(	(	PUNCT
bracis-28350	297	17	2015	2015	NUM
bracis-28350	297	18	)	)	PUNCT
bracis-28350	297	19	google	google	PROPN
bracis-28350	297	20	scholar	scholar	NOUN
bracis-28350	297	21	  	  	SPACE
bracis-28350	297	22	gatto	gatto	NOUN
bracis-28350	297	23	,	,	PUNCT
bracis-28350	297	24	e.c	e.c	PROPN
bracis-28350	297	25	.	.	PROPN
bracis-28350	297	26	,	,	PUNCT
bracis-28350	297	27	ferrandin	ferrandin	PROPN
bracis-28350	297	28	,	,	PUNCT
bracis-28350	297	29	m.	m.	NOUN
bracis-28350	297	30	,	,	PUNCT
bracis-28350	297	31	cerri	cerri	PROPN
bracis-28350	297	32	,	,	PUNCT
bracis-28350	297	33	r.	r.	PROPN
bracis-28350	297	34	:	:	PUNCT
bracis-28350	297	35	exploring	explore	VERB
bracis-28350	297	36	label	label	NOUN
bracis-28350	297	37	correlations	correlation	NOUN
bracis-28350	297	38	for	for	ADP
bracis-28350	297	39	partitioning	partition	VERB
bracis-28350	297	40	the	the	DET
bracis-28350	297	41	label	label	NOUN
bracis-28350	297	42	space	space	NOUN
bracis-28350	297	43	in	in	ADP
bracis-28350	297	44	multi	multi	ADJ
bracis-28350	297	45	-	-	ADJ
bracis-28350	297	46	label	label	ADJ
bracis-28350	297	47	classification	classification	NOUN
bracis-28350	297	48	.	.	PUNCT
bracis-28350	298	1	in	in	ADP
bracis-28350	298	2	:	:	PUNCT
bracis-28350	298	3	2021	2021	NUM
bracis-28350	298	4	international	international	ADJ
bracis-28350	298	5	joint	joint	ADJ
bracis-28350	298	6	conference	conference	NOUN
bracis-28350	298	7	on	on	ADP
bracis-28350	298	8	neural	neural	ADJ
bracis-28350	298	9	networks	network	NOUN
bracis-28350	298	10	(	(	PUNCT
bracis-28350	298	11	ijcnn	ijcnn	PROPN
bracis-28350	298	12	)	)	PUNCT
bracis-28350	298	13	(	(	PUNCT
bracis-28350	298	14	2021	2021	NUM
bracis-28350	298	15	)	)	PUNCT
bracis-28350	298	16	google	google	PROPN
bracis-28350	298	17	scholar	scholar	NOUN
bracis-28350	298	18	  	  	SPACE
bracis-28350	298	19	lin	lin	PROPN
bracis-28350	298	20	,	,	PUNCT
bracis-28350	298	21	s.c	s.c	PROPN
bracis-28350	298	22	.	.	PROPN
bracis-28350	298	23	,	,	PUNCT
bracis-28350	298	24	chen	chen	PROPN
bracis-28350	298	25	,	,	PUNCT
bracis-28350	298	26	c.j	c.j	PROPN
bracis-28350	298	27	.	.	PROPN
bracis-28350	298	28	,	,	PUNCT
bracis-28350	298	29	lee	lee	PROPN
bracis-28350	298	30	,	,	PUNCT
bracis-28350	298	31	t.j	t.j	PROPN
bracis-28350	298	32	.	.	PROPN
bracis-28350	298	33	:	:	PUNCT
bracis-28350	299	1	a	a	DET
bracis-28350	299	2	multi	multi	ADJ
bracis-28350	299	3	-	-	ADJ
bracis-28350	299	4	label	label	ADJ
bracis-28350	299	5	classification	classification	NOUN
bracis-28350	299	6	with	with	ADP
bracis-28350	299	7	hybrid	hybrid	ADJ
bracis-28350	299	8	label	label	NOUN
bracis-28350	299	9	-	-	PUNCT
bracis-28350	299	10	based	base	VERB
bracis-28350	299	11	meta	meta	ADJ
bracis-28350	299	12	-	-	PUNCT
bracis-28350	299	13	learning	learn	VERB
bracis-28350	299	14	method	method	NOUN
bracis-28350	299	15	in	in	ADP
bracis-28350	299	16	internet	internet	NOUN
bracis-28350	299	17	of	of	ADP
bracis-28350	299	18	things	thing	NOUN
bracis-28350	299	19	.	.	PUNCT
bracis-28350	300	1	ieee	ieee	NOUN
bracis-28350	300	2	access	access	NOUN
bracis-28350	300	3	8	8	NUM
bracis-28350	300	4	,	,	PUNCT
bracis-28350	300	5	42261–42269	42261–42269	NUM
bracis-28350	300	6	(	(	PUNCT
bracis-28350	300	7	2020	2020	NUM
bracis-28350	300	8	)	)	PUNCT
bracis-28350	300	9	google	google	PROPN
bracis-28350	300	10	scholar	scholar	NOUN
bracis-28350	300	11	  	  	SPACE
bracis-28350	300	12	luaces	luace	NOUN
bracis-28350	300	13	,	,	PUNCT
bracis-28350	300	14	o.	o.	INTJ
bracis-28350	300	15	,	,	PUNCT
bracis-28350	300	16	díez	díez	PROPN
bracis-28350	300	17	,	,	PUNCT
bracis-28350	300	18	j.	j.	PROPN
bracis-28350	300	19	,	,	PUNCT
bracis-28350	300	20	barranquero	barranquero	PROPN
bracis-28350	300	21	,	,	PUNCT
bracis-28350	300	22	et	et	PROPN
bracis-28350	300	23	al	al	PROPN
bracis-28350	300	24	.	.	PROPN
bracis-28350	300	25	,	,	PUNCT
bracis-28350	300	26	j.	j.	PROPN
bracis-28350	300	27	:	:	PUNCT
bracis-28350	300	28	binary	binary	ADJ
bracis-28350	300	29	relevance	relevance	NOUN
bracis-28350	300	30	efficacy	efficacy	NOUN
bracis-28350	300	31	for	for	ADP
bracis-28350	300	32	multilabel	multilabel	NOUN
bracis-28350	300	33	classification	classification	NOUN
bracis-28350	300	34	.	.	PUNCT
bracis-28350	301	1	progress	progress	NOUN
bracis-28350	301	2	in	in	ADP
bracis-28350	301	3	artificial	artificial	ADJ
bracis-28350	301	4	intelligence	intelligence	NOUN
bracis-28350	301	5	(	(	PUNCT
bracis-28350	301	6	2012	2012	NUM
bracis-28350	301	7	)	)	PUNCT
bracis-28350	301	8	google	google	PROPN
bracis-28350	301	9	scholar	scholar	NOUN
bracis-28350	301	10	  	  	SPACE
bracis-28350	301	11	melo	melo	PROPN
bracis-28350	301	12	,	,	PUNCT
bracis-28350	301	13	a.	a.	NOUN
bracis-28350	301	14	,	,	PUNCT
bracis-28350	301	15	paulheim	paulheim	NOUN
bracis-28350	301	16	,	,	PUNCT
bracis-28350	301	17	h.	h.	NOUN
bracis-28350	301	18	:	:	PUNCT
bracis-28350	301	19	local	local	ADJ
bracis-28350	301	20	and	and	CCONJ
bracis-28350	301	21	global	global	ADJ
bracis-28350	301	22	feature	feature	NOUN
bracis-28350	301	23	selection	selection	NOUN
bracis-28350	301	24	for	for	ADP
bracis-28350	301	25	multilabel	multilabel	NOUN
bracis-28350	301	26	classification	classification	NOUN
bracis-28350	301	27	with	with	ADP
bracis-28350	301	28	binary	binary	ADJ
bracis-28350	301	29	relevance	relevance	NOUN
bracis-28350	301	30	an	an	DET
bracis-28350	301	31	empirical	empirical	ADJ
bracis-28350	301	32	comparison	comparison	NOUN
bracis-28350	301	33	on	on	ADP
bracis-28350	301	34	flat	flat	ADJ
bracis-28350	301	35	and	and	CCONJ
bracis-28350	301	36	hierarchical	hierarchical	ADJ
bracis-28350	301	37	problems	problem	NOUN
bracis-28350	301	38	(	(	PUNCT
bracis-28350	301	39	2017	2017	NUM
bracis-28350	301	40	)	)	PUNCT
bracis-28350	301	41	google	google	PROPN
bracis-28350	301	42	scholar	scholar	NOUN
bracis-28350	301	43	  	  	SPACE
bracis-28350	301	44	mezo	mezo	PROPN
bracis-28350	301	45	,	,	PUNCT
bracis-28350	301	46	i.	i.	PROPN
bracis-28350	301	47	:	:	PUNCT
bracis-28350	301	48	the	the	DET
bracis-28350	301	49	r	r	NOUN
bracis-28350	301	50	-	-	PUNCT
bracis-28350	301	51	bell	bell	NOUN
bracis-28350	301	52	numbers	number	NOUN
bracis-28350	301	53	.	.	PUNCT
bracis-28350	302	1	j.	j.	PROPN
bracis-28350	302	2	integer	integer	PROPN
bracis-28350	302	3	sequences	sequence	NOUN
bracis-28350	302	4	14	14	NUM
bracis-28350	302	5	,	,	PUNCT
bracis-28350	302	6	a11	a11	PROPN
bracis-28350	302	7	(	(	PUNCT
bracis-28350	302	8	2011	2011	NUM
bracis-28350	302	9	)	)	PUNCT
bracis-28350	302	10	google	google	PROPN
bracis-28350	302	11	scholar	scholar	NOUN
bracis-28350	302	12	  	  	SPACE
bracis-28350	302	13	mittal	mittal	NOUN
bracis-28350	302	14	,	,	PUNCT
bracis-28350	302	15	r.	r.	PROPN
bracis-28350	302	16	,	,	PUNCT
bracis-28350	302	17	bhatia	bhatia	PROPN
bracis-28350	302	18	,	,	PUNCT
bracis-28350	302	19	m.p.s	m.p.s	PROPN
bracis-28350	302	20	.	.	PUNCT
bracis-28350	302	21	:	:	PUNCT
bracis-28350	303	1	classification	classification	NOUN
bracis-28350	303	2	and	and	CCONJ
bracis-28350	303	3	comparative	comparative	ADJ
bracis-28350	303	4	evaluation	evaluation	NOUN
bracis-28350	303	5	of	of	ADP
bracis-28350	303	6	community	community	NOUN
bracis-28350	303	7	detection	detection	NOUN
bracis-28350	303	8	algorithms	algorithm	NOUN
bracis-28350	303	9	.	.	PUNCT
bracis-28350	304	1	archives	archive	NOUN
bracis-28350	304	2	of	of	ADP
bracis-28350	304	3	computational	computational	ADJ
bracis-28350	304	4	methods	method	NOUN
bracis-28350	304	5	in	in	ADP
bracis-28350	304	6	engineering	engineering	NOUN
bracis-28350	304	7	(	(	PUNCT
bracis-28350	304	8	2020	2020	NUM
bracis-28350	304	9	)	)	PUNCT
bracis-28350	304	10	google	google	PROPN
bracis-28350	304	11	scholar	scholar	NOUN
bracis-28350	304	12	  	  	SPACE
bracis-28350	304	13	newman	newman	PROPN
bracis-28350	304	14	,	,	PUNCT
bracis-28350	304	15	m.e.j	m.e.j	PROPN
bracis-28350	304	16	.	.	PROPN
bracis-28350	304	17	,	,	PUNCT
bracis-28350	304	18	girvan	girvan	PROPN
bracis-28350	304	19	,	,	PUNCT
bracis-28350	304	20	m.	m.	NOUN
bracis-28350	304	21	:	:	PUNCT
bracis-28350	304	22	finding	find	VERB
bracis-28350	304	23	and	and	CCONJ
bracis-28350	304	24	evaluating	evaluate	VERB
bracis-28350	304	25	community	community	NOUN
bracis-28350	304	26	structure	structure	NOUN
bracis-28350	304	27	in	in	ADP
bracis-28350	304	28	networks	network	NOUN
bracis-28350	304	29	.	.	PUNCT
bracis-28350	305	1	phys	phy	NOUN
bracis-28350	305	2	.	.	PUNCT
bracis-28350	306	1	rev	rev	PROPN
bracis-28350	306	2	.	.	PUNCT
bracis-28350	307	1	e	e	PROPN
bracis-28350	307	2	69	69	NUM
bracis-28350	307	3	,	,	PUNCT
bracis-28350	307	4	026113	026113	NUM
bracis-28350	307	5	(	(	PUNCT
bracis-28350	307	6	2004	2004	NUM
bracis-28350	307	7	)	)	PUNCT
bracis-28350	307	8	google	google	PROPN
bracis-28350	307	9	scholar	scholar	NOUN
bracis-28350	307	10	  	  	SPACE
bracis-28350	307	11	nguyen	nguyen	NOUN
bracis-28350	307	12	,	,	PUNCT
bracis-28350	307	13	t.t	t.t	PROPN
bracis-28350	307	14	.	.	PROPN
bracis-28350	307	15	,	,	PUNCT
bracis-28350	307	16	nguyen	nguyen	PROPN
bracis-28350	307	17	,	,	PUNCT
bracis-28350	307	18	t.t.t	t.t.t	PROPN
bracis-28350	307	19	.	.	PUNCT
bracis-28350	307	20	,	,	PUNCT
bracis-28350	307	21	luong	luong	PROPN
bracis-28350	307	22	,	,	PUNCT
bracis-28350	307	23	a.v	a.v	PROPN
bracis-28350	307	24	.	.	PROPN
bracis-28350	307	25	,	,	PUNCT
bracis-28350	307	26	nguyen	nguyen	PROPN
bracis-28350	307	27	,	,	PUNCT
bracis-28350	307	28	q.v.h	q.v.h	PROPN
bracis-28350	307	29	.	.	PROPN
bracis-28350	307	30	,	,	PUNCT
bracis-28350	307	31	liew	liew	PROPN
bracis-28350	307	32	,	,	PUNCT
bracis-28350	307	33	a.w.c	a.w.c	VERB
bracis-28350	307	34	.	.	PROPN
bracis-28350	307	35	,	,	PUNCT
bracis-28350	307	36	stantic	stantic	ADJ
bracis-28350	307	37	,	,	PUNCT
bracis-28350	307	38	b.	b.	PROPN
bracis-28350	307	39	:	:	PUNCT
bracis-28350	307	40	multi	multi	ADJ
bracis-28350	307	41	-	-	ADJ
bracis-28350	307	42	label	label	ADJ
bracis-28350	307	43	classification	classification	NOUN
bracis-28350	307	44	via	via	ADP
bracis-28350	307	45	label	label	NOUN
bracis-28350	307	46	correlation	correlation	NOUN
bracis-28350	307	47	and	and	CCONJ
bracis-28350	307	48	first	first	ADJ
bracis-28350	307	49	order	order	NOUN
bracis-28350	307	50	feature	feature	NOUN
bracis-28350	307	51	dependance	dependance	NOUN
bracis-28350	307	52	in	in	ADP
bracis-28350	307	53	a	a	DET
bracis-28350	307	54	data	data	NOUN
bracis-28350	307	55	stream	stream	NOUN
bracis-28350	307	56	.	.	PUNCT
bracis-28350	308	1	pattern	pattern	NOUN
bracis-28350	308	2	recogn	recogn	VERB
bracis-28350	308	3	.	.	PUNCT
bracis-28350	309	1	90	90	NUM
bracis-28350	309	2	,	,	PUNCT
bracis-28350	309	3	35–51	35–51	NUM
bracis-28350	309	4	(	(	PUNCT
bracis-28350	309	5	2019	2019	NUM
bracis-28350	309	6	)	)	PUNCT
bracis-28350	309	7	google	google	NOUN
bracis-28350	309	8	scholar	scholar	NOUN
bracis-28350	309	9	  	  	SPACE
bracis-28350	309	10	pliakos	pliakos	NOUN
bracis-28350	309	11	,	,	PUNCT
bracis-28350	309	12	k.	k.	PROPN
bracis-28350	309	13	,	,	PUNCT
bracis-28350	309	14	vens	vens	PROPN
bracis-28350	309	15	,	,	PUNCT
bracis-28350	309	16	c.	c.	PROPN
bracis-28350	309	17	,	,	PUNCT
bracis-28350	309	18	tsoumakas	tsoumakas	PROPN
bracis-28350	309	19	,	,	PUNCT
bracis-28350	309	20	g.	g.	PROPN
bracis-28350	309	21	:	:	PUNCT
bracis-28350	309	22	predicting	predict	VERB
bracis-28350	309	23	drug	drug	NOUN
bracis-28350	309	24	-	-	PUNCT
bracis-28350	309	25	target	target	NOUN
bracis-28350	309	26	interactions	interaction	NOUN
bracis-28350	309	27	with	with	ADP
bracis-28350	309	28	multi	multi	ADJ
bracis-28350	309	29	-	-	ADJ
bracis-28350	309	30	label	label	ADJ
bracis-28350	309	31	classification	classification	NOUN
bracis-28350	309	32	and	and	CCONJ
bracis-28350	309	33	label	label	NOUN
bracis-28350	309	34	partitioning	partitioning	NOUN
bracis-28350	309	35	.	.	PUNCT
bracis-28350	310	1	ieee	ieee	PROPN
bracis-28350	310	2	/	/	SYM
bracis-28350	310	3	acm	acm	PROPN
bracis-28350	310	4	trans	trans	PROPN
bracis-28350	310	5	.	.	PUNCT
bracis-28350	311	1	comput	comput	NOUN
bracis-28350	311	2	.	.	PUNCT
bracis-28350	312	1	biol	biol	PROPN
bracis-28350	312	2	.	.	PUNCT
bracis-28350	313	1	bioinform	bioinform	NOUN
bracis-28350	313	2	.	.	PUNCT
bracis-28350	314	1	18	18	NUM
bracis-28350	314	2	1596–1607	1596–1607	NUM
bracis-28350	314	3	(	(	PUNCT
bracis-28350	314	4	2021	2021	NUM
bracis-28350	314	5	)	)	PUNCT
bracis-28350	314	6	google	google	NOUN
bracis-28350	314	7	scholar	scholar	NOUN
bracis-28350	314	8	  	  	SPACE
bracis-28350	314	9	pons	pon	NOUN
bracis-28350	314	10	,	,	PUNCT
bracis-28350	314	11	p.	p.	NOUN
bracis-28350	314	12	,	,	PUNCT
bracis-28350	314	13	latapy	latapy	NOUN
bracis-28350	314	14	,	,	PUNCT
bracis-28350	314	15	m.	m.	NOUN
bracis-28350	314	16	:	:	PUNCT
bracis-28350	314	17	computing	compute	VERB
bracis-28350	314	18	communities	community	NOUN
bracis-28350	314	19	in	in	ADP
bracis-28350	314	20	large	large	ADJ
bracis-28350	314	21	networks	network	NOUN
bracis-28350	314	22	using	use	VERB
bracis-28350	314	23	random	random	ADJ
bracis-28350	314	24	walks	walk	NOUN
bracis-28350	314	25	(	(	PUNCT
bracis-28350	314	26	long	long	ADJ
bracis-28350	314	27	version	version	NOUN
bracis-28350	314	28	)	)	PUNCT
bracis-28350	314	29	(	(	PUNCT
bracis-28350	314	30	2005	2005	NUM
bracis-28350	314	31	)	)	PUNCT
bracis-28350	314	32	google	google	PROPN
bracis-28350	314	33	scholar	scholar	NOUN
bracis-28350	314	34	  	  	SPACE
bracis-28350	314	35	raghavan	raghavan	PROPN
bracis-28350	314	36	,	,	PUNCT
bracis-28350	314	37	u.n	u.n	PROPN
bracis-28350	314	38	.	.	PROPN
bracis-28350	314	39	,	,	PUNCT
bracis-28350	314	40	albert	albert	PROPN
bracis-28350	314	41	,	,	PUNCT
bracis-28350	314	42	r.	r.	PROPN
bracis-28350	314	43	,	,	PUNCT
bracis-28350	314	44	kumara	kumara	PROPN
bracis-28350	314	45	,	,	PUNCT
bracis-28350	314	46	s.	s.	PROPN
bracis-28350	314	47	:	:	PUNCT
bracis-28350	314	48	near	near	ADP
bracis-28350	314	49	linear	linear	ADJ
bracis-28350	314	50	time	time	NOUN
bracis-28350	314	51	algorithm	algorithm	NOUN
bracis-28350	314	52	to	to	PART
bracis-28350	314	53	detect	detect	VERB
bracis-28350	314	54	community	community	NOUN
bracis-28350	314	55	structures	structure	NOUN
bracis-28350	314	56	in	in	ADP
bracis-28350	314	57	large	large	ADJ
bracis-28350	314	58	-	-	PUNCT
bracis-28350	314	59	scale	scale	NOUN
bracis-28350	314	60	networks	network	NOUN
bracis-28350	314	61	.	.	PUNCT
bracis-28350	315	1	phys	phy	NOUN
bracis-28350	315	2	.	.	PUNCT
bracis-28350	316	1	rev	rev	PROPN
bracis-28350	316	2	.	.	PUNCT
bracis-28350	317	1	e	e	PROPN
bracis-28350	317	2	76	76	NUM
bracis-28350	317	3	,	,	PUNCT
bracis-28350	317	4	036106	036106	NUM
bracis-28350	317	5	(	(	PUNCT
bracis-28350	317	6	2007	2007	NUM
bracis-28350	317	7	)	)	PUNCT
bracis-28350	317	8	google	google	PROPN
bracis-28350	317	9	scholar	scholar	NOUN
bracis-28350	317	10	  	  	SPACE
bracis-28350	317	11	read	read	NOUN
bracis-28350	317	12	,	,	PUNCT
bracis-28350	317	13	j.	j.	PROPN
bracis-28350	317	14	,	,	PUNCT
bracis-28350	317	15	pfahringer	pfahringer	NOUN
bracis-28350	317	16	,	,	PUNCT
bracis-28350	317	17	b.	b.	PROPN
bracis-28350	317	18	,	,	PUNCT
bracis-28350	317	19	holmes	holmes	PROPN
bracis-28350	317	20	,	,	PUNCT
bracis-28350	317	21	g.	g.	PROPN
bracis-28350	317	22	,	,	PUNCT
bracis-28350	317	23	frank	frank	PROPN
bracis-28350	317	24	,	,	PUNCT
bracis-28350	317	25	e.	e.	PROPN
bracis-28350	317	26	:	:	PUNCT
bracis-28350	317	27	classifier	classifier	NOUN
bracis-28350	317	28	chains	chain	NOUN
bracis-28350	317	29	:	:	PUNCT
bracis-28350	317	30	a	a	DET
bracis-28350	317	31	review	review	NOUN
bracis-28350	317	32	and	and	CCONJ
bracis-28350	317	33	perspectives	perspective	NOUN
bracis-28350	317	34	.	.	PUNCT
bracis-28350	318	1	j.	j.	PROPN
bracis-28350	318	2	artif	artif	PROPN
bracis-28350	318	3	.	.	PUNCT
bracis-28350	319	1	intell	intell	PROPN
bracis-28350	319	2	.	.	PUNCT
bracis-28350	320	1	res	re	NOUN
bracis-28350	320	2	.	.	PROPN
bracis-28350	321	1	70	70	NUM
bracis-28350	321	2	,	,	PUNCT
bracis-28350	321	3	683–718	683–718	NUM
bracis-28350	321	4	(	(	PUNCT
bracis-28350	321	5	2021	2021	NUM
bracis-28350	321	6	)	)	PUNCT
bracis-28350	321	7	google	google	NOUN
bracis-28350	321	8	scholar	scholar	NOUN
bracis-28350	321	9	  	  	SPACE
bracis-28350	321	10	reichardt	reichardt	NOUN
bracis-28350	321	11	,	,	PUNCT
bracis-28350	321	12	j.	j.	PROPN
bracis-28350	321	13	,	,	PUNCT
bracis-28350	321	14	bornholdt	bornholdt	PROPN
bracis-28350	321	15	,	,	PUNCT
bracis-28350	321	16	s.	s.	PROPN
bracis-28350	321	17	:	:	PUNCT
bracis-28350	321	18	statistical	statistical	ADJ
bracis-28350	321	19	mechanics	mechanic	NOUN
bracis-28350	321	20	of	of	ADP
bracis-28350	321	21	community	community	NOUN
bracis-28350	321	22	detection	detection	NOUN
bracis-28350	321	23	.	.	PUNCT
bracis-28350	322	1	phys	phy	NOUN
bracis-28350	322	2	.	.	PUNCT
bracis-28350	323	1	rev	rev	PROPN
bracis-28350	323	2	.	.	PUNCT
bracis-28350	324	1	e	e	PROPN
bracis-28350	324	2	74	74	NUM
bracis-28350	324	3	,	,	PUNCT
bracis-28350	324	4	016110	016110	NUM
bracis-28350	324	5	(	(	PUNCT
bracis-28350	324	6	2006	2006	NUM
bracis-28350	324	7	)	)	PUNCT
bracis-28350	324	8	google	google	PROPN
bracis-28350	324	9	scholar	scholar	NOUN
bracis-28350	324	10	  	  	SPACE
bracis-28350	324	11	rivolli	rivolli	NOUN
bracis-28350	324	12	,	,	PUNCT
bracis-28350	324	13	a.	a.	NOUN
bracis-28350	324	14	,	,	PUNCT
bracis-28350	324	15	read	read	VERB
bracis-28350	324	16	,	,	PUNCT
bracis-28350	324	17	j.	j.	PROPN
bracis-28350	324	18	,	,	PUNCT
bracis-28350	324	19	soares	soares	PROPN
bracis-28350	324	20	,	,	PUNCT
bracis-28350	324	21	c.	c.	NOUN
bracis-28350	324	22	,	,	PUNCT
bracis-28350	324	23	pfahringer	pfahringer	NOUN
bracis-28350	324	24	,	,	PUNCT
bracis-28350	324	25	b.	b.	PROPN
bracis-28350	324	26	,	,	PUNCT
bracis-28350	324	27	de	de	PROPN
bracis-28350	324	28	leon	leon	PROPN
bracis-28350	324	29	ferreira	ferreira	PROPN
bracis-28350	324	30	de	de	PROPN
bracis-28350	324	31	carvalho	carvalho	PROPN
bracis-28350	324	32	,	,	PUNCT
bracis-28350	324	33	a.c.p	a.c.p	PROPN
bracis-28350	324	34	.	.	PUNCT
bracis-28350	324	35	:	:	PUNCT
bracis-28350	325	1	an	an	DET
bracis-28350	325	2	empirical	empirical	ADJ
bracis-28350	325	3	analysis	analysis	NOUN
bracis-28350	325	4	of	of	ADP
bracis-28350	325	5	binary	binary	ADJ
bracis-28350	325	6	transformation	transformation	NOUN
bracis-28350	325	7	strategies	strategy	NOUN
bracis-28350	325	8	and	and	CCONJ
bracis-28350	325	9	base	base	NOUN
bracis-28350	325	10	algorithms	algorithm	NOUN
bracis-28350	325	11	for	for	ADP
bracis-28350	325	12	multi	multi	ADJ
bracis-28350	325	13	-	-	ADJ
bracis-28350	325	14	label	label	ADJ
bracis-28350	325	15	learning	learning	NOUN
bracis-28350	325	16	.	.	PUNCT
bracis-28350	326	1	machine	machine	NOUN
bracis-28350	326	2	learning	learning	NOUN
bracis-28350	326	3	(	(	PUNCT
bracis-28350	326	4	2020	2020	NUM
bracis-28350	326	5	)	)	PUNCT
bracis-28350	326	6	google	google	PROPN
bracis-28350	326	7	scholar	scholar	NOUN
bracis-28350	326	8	  	  	SPACE
bracis-28350	326	9	rivolli	rivolli	NOUN
bracis-28350	326	10	,	,	PUNCT
bracis-28350	326	11	a.	a.	PROPN
bracis-28350	326	12	,	,	PUNCT
bracis-28350	326	13	soares	soares	PROPN
bracis-28350	326	14	,	,	PUNCT
bracis-28350	326	15	c.	c.	PROPN
bracis-28350	326	16	,	,	PUNCT
bracis-28350	326	17	carvalho	carvalho	PROPN
bracis-28350	326	18	,	,	PUNCT
bracis-28350	326	19	a.c.p.d.l.f.d	a.c.p.d.l.f.d	PROPN
bracis-28350	326	20	.	.	PUNCT
bracis-28350	326	21	:	:	PUNCT
bracis-28350	327	1	enhancing	enhance	VERB
bracis-28350	327	2	multilabel	multilabel	NOUN
bracis-28350	327	3	classification	classification	NOUN
bracis-28350	327	4	for	for	ADP
bracis-28350	327	5	food	food	NOUN
bracis-28350	327	6	truck	truck	NOUN
bracis-28350	327	7	recommendation	recommendation	NOUN
bracis-28350	327	8	.	.	PUNCT
bracis-28350	328	1	expert	expert	NOUN
bracis-28350	328	2	systems	system	NOUN
bracis-28350	328	3	(	(	PUNCT
bracis-28350	328	4	2018	2018	NUM
bracis-28350	328	5	)	)	PUNCT
bracis-28350	328	6	google	google	PROPN
bracis-28350	328	7	scholar	scholar	NOUN
bracis-28350	328	8	  	  	SPACE
bracis-28350	328	9	rosvall	rosvall	NOUN
bracis-28350	328	10	,	,	PUNCT
bracis-28350	328	11	m.	m.	NOUN
bracis-28350	328	12	,	,	PUNCT
bracis-28350	328	13	bergstrom	bergstrom	PROPN
bracis-28350	328	14	,	,	PUNCT
bracis-28350	328	15	c.t	c.t	PROPN
bracis-28350	328	16	.	.	PROPN
bracis-28350	328	17	:	:	PUNCT
bracis-28350	329	1	maps	map	NOUN
bracis-28350	329	2	of	of	ADP
bracis-28350	329	3	random	random	ADJ
bracis-28350	329	4	walks	walk	NOUN
bracis-28350	329	5	on	on	ADP
bracis-28350	329	6	complex	complex	ADJ
bracis-28350	329	7	networks	network	NOUN
bracis-28350	329	8	reveal	reveal	VERB
bracis-28350	329	9	community	community	NOUN
bracis-28350	329	10	structure	structure	NOUN
bracis-28350	329	11	.	.	PUNCT
bracis-28350	330	1	proceedings	proceeding	NOUN
bracis-28350	330	2	of	of	ADP
bracis-28350	330	3	the	the	DET
bracis-28350	330	4	national	national	PROPN
bracis-28350	330	5	academy	academy	PROPN
bracis-28350	330	6	of	of	ADP
bracis-28350	330	7	sciences	sciences	PROPN
bracis-28350	330	8	105	105	NUM
bracis-28350	330	9	(	(	PUNCT
bracis-28350	330	10	2008	2008	NUM
bracis-28350	330	11	)	)	PUNCT
bracis-28350	330	12	google	google	PROPN
bracis-28350	330	13	scholar	scholar	NOUN
bracis-28350	330	14	  	  	SPACE
bracis-28350	330	15	rousseeuw	rousseeuw	NOUN
bracis-28350	330	16	,	,	PUNCT
bracis-28350	330	17	p.	p.	NOUN
bracis-28350	330	18	:	:	PUNCT
bracis-28350	330	19	silhouettes	silhouette	NOUN
bracis-28350	330	20	:	:	PUNCT
bracis-28350	330	21	a	a	DET
bracis-28350	330	22	graphical	graphical	ADJ
bracis-28350	330	23	aid	aid	NOUN
bracis-28350	330	24	to	to	ADP
bracis-28350	330	25	the	the	DET
bracis-28350	330	26	interpretation	interpretation	NOUN
bracis-28350	330	27	and	and	CCONJ
bracis-28350	330	28	validation	validation	NOUN
bracis-28350	330	29	of	of	ADP
bracis-28350	330	30	cluster	cluster	NOUN
bracis-28350	330	31	analysis	analysis	NOUN
bracis-28350	330	32	.	.	PUNCT
bracis-28350	331	1	j.	j.	PROPN
bracis-28350	331	2	comput	comput	PROPN
bracis-28350	331	3	.	.	PUNCT
bracis-28350	332	1	appl	appl	PROPN
bracis-28350	332	2	.	.	PROPN
bracis-28350	332	3	math	math	NOUN
bracis-28350	332	4	.	.	PUNCT
bracis-28350	333	1	20	20	NUM
bracis-28350	333	2	,	,	PUNCT
bracis-28350	333	3	53–65	53–65	NUM
bracis-28350	333	4	(	(	PUNCT
bracis-28350	333	5	1987	1987	NUM
bracis-28350	333	6	)	)	PUNCT
bracis-28350	333	7	google	google	NOUN
bracis-28350	333	8	scholar	scholar	NOUN
bracis-28350	333	9	  	  	SPACE
bracis-28350	333	10	sechidis	sechidi	NOUN
bracis-28350	333	11	,	,	PUNCT
bracis-28350	333	12	k.	k.	PROPN
bracis-28350	333	13	,	,	PUNCT
bracis-28350	333	14	tsoumakas	tsoumakas	PROPN
bracis-28350	333	15	,	,	PUNCT
bracis-28350	333	16	g.	g.	PROPN
bracis-28350	333	17	,	,	PUNCT
bracis-28350	333	18	vlahavas	vlahavas	PROPN
bracis-28350	333	19	,	,	PUNCT
bracis-28350	333	20	i.	i.	NOUN
bracis-28350	333	21	:	:	PUNCT
bracis-28350	333	22	on	on	ADP
bracis-28350	333	23	the	the	DET
bracis-28350	333	24	stratification	stratification	NOUN
bracis-28350	333	25	of	of	ADP
bracis-28350	333	26	multi	multi	ADJ
bracis-28350	333	27	-	-	ADJ
bracis-28350	333	28	label	label	ADJ
bracis-28350	333	29	data	datum	NOUN
bracis-28350	333	30	.	.	PUNCT
bracis-28350	334	1	in	in	ADP
bracis-28350	334	2	:	:	PUNCT
bracis-28350	334	3	gunopulos	gunopulo	NOUN
bracis-28350	334	4	,	,	PUNCT
bracis-28350	334	5	d.	d.	PROPN
bracis-28350	334	6	,	,	PUNCT
bracis-28350	334	7	hofmann	hofmann	PROPN
bracis-28350	334	8	,	,	PUNCT
bracis-28350	334	9	t.	t.	PROPN
bracis-28350	334	10	,	,	PUNCT
bracis-28350	334	11	malerba	malerba	PROPN
bracis-28350	334	12	,	,	PUNCT
bracis-28350	334	13	d.	d.	PROPN
bracis-28350	334	14	,	,	PUNCT
bracis-28350	334	15	vazirgiannis	vazirgiannis	PROPN
bracis-28350	334	16	,	,	PUNCT
bracis-28350	334	17	m.	m.	NOUN
bracis-28350	334	18	(	(	PUNCT
bracis-28350	334	19	eds	ed	NOUN
bracis-28350	334	20	.	.	PUNCT
bracis-28350	334	21	)	)	PUNCT
bracis-28350	335	1	ecml	ecml	PROPN
bracis-28350	335	2	pkdd	pkdd	NOUN
bracis-28350	335	3	2011	2011	NUM
bracis-28350	335	4	.	.	PUNCT
bracis-28350	336	1	lncs	lncs	PROPN
bracis-28350	336	2	(	(	PUNCT
bracis-28350	336	3	lnai	lnai	ADJ
bracis-28350	336	4	)	)	PUNCT
bracis-28350	336	5	,	,	PUNCT
bracis-28350	336	6	vol	vol	NOUN
bracis-28350	336	7	.	.	PROPN
bracis-28350	336	8	6913	6913	NUM
bracis-28350	336	9	,	,	PUNCT
bracis-28350	336	10	pp	pp	ADV
bracis-28350	336	11	.	.	PUNCT
bracis-28350	337	1	145–158	145–158	NUM
bracis-28350	337	2	.	.	PUNCT
bracis-28350	337	3	springer	springer	NOUN
bracis-28350	337	4	,	,	PUNCT
bracis-28350	337	5	heidelberg	heidelberg	PROPN
bracis-28350	337	6	(	(	PUNCT
bracis-28350	337	7	2011	2011	NUM
bracis-28350	337	8	)	)	PUNCT
bracis-28350	337	9	.	.	PUNCT
bracis-28350	338	1	https://doi.org/10.1007/978-3-642-23808-6_10	https://doi.org/10.1007/978-3-642-23808-6_10	PROPN
bracis-28350	338	2	chapter	chapter	NOUN
bracis-28350	338	3	  	  	SPACE
bracis-28350	338	4	google	google	PROPN
bracis-28350	338	5	scholar	scholar	NOUN
bracis-28350	338	6	  	  	SPACE
bracis-28350	338	7	shahapure	shahapure	NOUN
bracis-28350	338	8	,	,	PUNCT
bracis-28350	338	9	k.r	k.r	PROPN
bracis-28350	338	10	.	.	PROPN
bracis-28350	338	11	,	,	PUNCT
bracis-28350	338	12	nicholas	nicholas	PROPN
bracis-28350	338	13	,	,	PUNCT
bracis-28350	338	14	c.	c.	NOUN
bracis-28350	338	15	:	:	PUNCT
bracis-28350	338	16	cluster	cluster	NOUN
bracis-28350	338	17	quality	quality	NOUN
bracis-28350	338	18	analysis	analysis	NOUN
bracis-28350	338	19	using	use	VERB
bracis-28350	338	20	silhouette	silhouette	NOUN
bracis-28350	338	21	score	score	NOUN
bracis-28350	338	22	.	.	PUNCT
bracis-28350	339	1	in	in	ADP
bracis-28350	339	2	:	:	PUNCT
bracis-28350	339	3	2020	2020	NUM
bracis-28350	339	4	ieee	ieee	PROPN
bracis-28350	339	5	7th	7th	ADJ
bracis-28350	339	6	international	international	ADJ
bracis-28350	339	7	conference	conference	NOUN
bracis-28350	339	8	on	on	ADP
bracis-28350	339	9	data	datum	NOUN
bracis-28350	339	10	science	science	NOUN
bracis-28350	339	11	and	and	CCONJ
bracis-28350	339	12	advanced	advanced	ADJ
bracis-28350	339	13	analytics	analytic	NOUN
bracis-28350	339	14	(	(	PUNCT
bracis-28350	339	15	dsaa	dsaa	PROPN
bracis-28350	339	16	)	)	PUNCT
bracis-28350	339	17	(	(	PUNCT
bracis-28350	339	18	2020	2020	NUM
bracis-28350	339	19	)	)	PUNCT
bracis-28350	339	20	google	google	PROPN
bracis-28350	339	21	scholar	scholar	NOUN
bracis-28350	339	22	  	  	SPACE
bracis-28350	339	23	silva	silva	NOUN
bracis-28350	339	24	,	,	PUNCT
bracis-28350	339	25	t.c	t.c	PROPN
bracis-28350	339	26	.	.	PROPN
bracis-28350	339	27	,	,	PUNCT
bracis-28350	339	28	zhao	zhao	PROPN
bracis-28350	339	29	,	,	PUNCT
bracis-28350	339	30	l.	l.	PROPN
bracis-28350	339	31	:	:	PUNCT
bracis-28350	339	32	machine	machine	NOUN
bracis-28350	339	33	learning	learning	NOUN
bracis-28350	339	34	in	in	ADP
bracis-28350	339	35	complex	complex	ADJ
bracis-28350	339	36	networks	network	NOUN
bracis-28350	339	37	.	.	PUNCT
bracis-28350	340	1	springer	springer	NOUN
bracis-28350	340	2	publishing	publishing	NOUN
bracis-28350	340	3	company	company	NOUN
bracis-28350	340	4	,	,	PUNCT
bracis-28350	340	5	incorporated	incorporate	VERB
bracis-28350	340	6	(	(	PUNCT
bracis-28350	340	7	2016	2016	NUM
bracis-28350	340	8	)	)	PUNCT
bracis-28350	340	9	book	book	NOUN
bracis-28350	340	10	  	  	SPACE
bracis-28350	340	11	math	math	NOUN
bracis-28350	340	12	  	  	SPACE
bracis-28350	340	13	google	google	PROPN
bracis-28350	340	14	scholar	scholar	NOUN
bracis-28350	340	15	  	  	SPACE
bracis-28350	340	16	szymański	szymański	NOUN
bracis-28350	340	17	,	,	PUNCT
bracis-28350	340	18	p.	p.	NOUN
bracis-28350	340	19	,	,	PUNCT
bracis-28350	340	20	kajdanowicz	kajdanowicz	NOUN
bracis-28350	340	21	,	,	PUNCT
bracis-28350	340	22	t.	t.	PROPN
bracis-28350	340	23	,	,	PUNCT
bracis-28350	340	24	kersting	kersting	NOUN
bracis-28350	340	25	,	,	PUNCT
bracis-28350	340	26	k.	k.	PROPN
bracis-28350	340	27	:	:	PUNCT
bracis-28350	340	28	how	how	SCONJ
bracis-28350	340	29	is	be	AUX
bracis-28350	340	30	a	a	DET
bracis-28350	340	31	data	data	NOUN
bracis-28350	340	32	-	-	PUNCT
bracis-28350	340	33	driven	drive	VERB
bracis-28350	340	34	approach	approach	NOUN
bracis-28350	340	35	better	well	ADV
bracis-28350	340	36	than	than	ADP
bracis-28350	340	37	random	random	ADJ
bracis-28350	340	38	choice	choice	NOUN
bracis-28350	340	39	in	in	ADP
bracis-28350	340	40	label	label	NOUN
bracis-28350	340	41	space	space	NOUN
bracis-28350	340	42	division	division	NOUN
bracis-28350	340	43	for	for	ADP
bracis-28350	340	44	multi	multi	ADJ
bracis-28350	340	45	-	-	ADJ
bracis-28350	340	46	label	label	ADJ
bracis-28350	340	47	classification	classification	NOUN
bracis-28350	340	48	?	?	PUNCT
bracis-28350	341	1	entropy	entropy	PROPN
bracis-28350	341	2	18	18	NUM
bracis-28350	341	3	(	(	PUNCT
bracis-28350	341	4	2016	2016	NUM
bracis-28350	341	5	)	)	PUNCT
bracis-28350	341	6	google	google	PROPN
bracis-28350	341	7	scholar	scholar	NOUN
bracis-28350	341	8	  	  	SPACE
bracis-28350	341	9	tahir	tahir	PROPN
bracis-28350	341	10	,	,	PUNCT
bracis-28350	341	11	m.a.u.h	m.a.u.h	PROPN
bracis-28350	341	12	.	.	PROPN
bracis-28350	341	13	,	,	PUNCT
bracis-28350	341	14	asghar	asghar	PROPN
bracis-28350	341	15	,	,	PUNCT
bracis-28350	341	16	s.	s.	PROPN
bracis-28350	341	17	,	,	PUNCT
bracis-28350	341	18	manzoor	manzoor	PROPN
bracis-28350	341	19	,	,	PUNCT
bracis-28350	341	20	a.	a.	NOUN
bracis-28350	341	21	,	,	PUNCT
bracis-28350	341	22	noor	noor	PROPN
bracis-28350	341	23	,	,	PUNCT
bracis-28350	341	24	m.a	m.a	PROPN
bracis-28350	341	25	.	.	PROPN
bracis-28350	341	26	:	:	PUNCT
bracis-28350	342	1	a	a	DET
bracis-28350	342	2	classification	classification	NOUN
bracis-28350	342	3	model	model	NOUN
bracis-28350	342	4	for	for	ADP
bracis-28350	342	5	class	class	NOUN
bracis-28350	342	6	imbalance	imbalance	NOUN
bracis-28350	342	7	dataset	dataset	NOUN
bracis-28350	342	8	using	use	VERB
bracis-28350	342	9	genetic	genetic	ADJ
bracis-28350	342	10	programming	programming	NOUN
bracis-28350	342	11	.	.	PUNCT
bracis-28350	343	1	ieee	ieee	NOUN
bracis-28350	343	2	access	access	NOUN
bracis-28350	343	3	7	7	NUM
bracis-28350	343	4	,	,	PUNCT
bracis-28350	343	5	71013–71037	71013–71037	NUM
bracis-28350	343	6	(	(	PUNCT
bracis-28350	343	7	2019	2019	NUM
bracis-28350	343	8	)	)	PUNCT
bracis-28350	343	9	google	google	PROPN
bracis-28350	343	10	scholar	scholar	NOUN
bracis-28350	343	11	  	  	SPACE
bracis-28350	343	12	vens	vens	PROPN
bracis-28350	343	13	,	,	PUNCT
bracis-28350	343	14	c.	c.	PROPN
bracis-28350	343	15	,	,	PUNCT
bracis-28350	343	16	struyf	struyf	PROPN
bracis-28350	343	17	,	,	PUNCT
bracis-28350	343	18	j.	j.	PROPN
bracis-28350	343	19	,	,	PUNCT
bracis-28350	343	20	schietgat	schietgat	PROPN
bracis-28350	343	21	,	,	PUNCT
bracis-28350	343	22	l.	l.	PROPN
bracis-28350	343	23	,	,	PUNCT
bracis-28350	343	24	džeroski	džeroski	PROPN
bracis-28350	343	25	,	,	PUNCT
bracis-28350	343	26	s.	s.	PROPN
bracis-28350	343	27	,	,	PUNCT
bracis-28350	343	28	blockeel	blockeel	PROPN
bracis-28350	343	29	,	,	PUNCT
bracis-28350	343	30	h.	h.	NOUN
bracis-28350	343	31	:	:	PUNCT
bracis-28350	343	32	decision	decision	NOUN
bracis-28350	343	33	trees	tree	NOUN
bracis-28350	343	34	for	for	ADP
bracis-28350	343	35	hierarchical	hierarchical	ADJ
bracis-28350	343	36	multi	multi	ADJ
bracis-28350	343	37	-	-	ADJ
bracis-28350	343	38	label	label	ADJ
bracis-28350	343	39	classification	classification	NOUN
bracis-28350	343	40	.	.	PUNCT
bracis-28350	344	1	mach	mach	NOUN
bracis-28350	344	2	.	.	PUNCT
bracis-28350	345	1	learn	learn	VERB
bracis-28350	345	2	.	.	PUNCT
bracis-28350	346	1	73	73	NUM
bracis-28350	346	2	,	,	PUNCT
bracis-28350	346	3	185–214	185–214	NUM
bracis-28350	346	4	(	(	PUNCT
bracis-28350	346	5	2008	2008	NUM
bracis-28350	346	6	)	)	PUNCT
bracis-28350	346	7	google	google	PROPN
bracis-28350	346	8	scholar	scholar	NOUN
bracis-28350	346	9	  	  	SPACE
bracis-28350	346	10	warrens	warren	NOUN
bracis-28350	346	11	,	,	PUNCT
bracis-28350	346	12	m.j	m.j	PROPN
bracis-28350	346	13	.	.	PUNCT
bracis-28350	346	14	:	:	PUNCT
bracis-28350	347	1	similarity	similarity	NOUN
bracis-28350	347	2	coefficients	coefficient	NOUN
bracis-28350	347	3	for	for	ADP
bracis-28350	347	4	binary	binary	ADJ
bracis-28350	347	5	data	datum	NOUN
bracis-28350	347	6	:	:	PUNCT
bracis-28350	347	7	properties	property	NOUN
bracis-28350	347	8	of	of	ADP
bracis-28350	347	9	coefficients	coefficient	NOUN
bracis-28350	347	10	,	,	PUNCT
bracis-28350	347	11	coefficient	coefficient	NOUN
bracis-28350	347	12	matrices	matrix	NOUN
bracis-28350	347	13	,	,	PUNCT
bracis-28350	347	14	multi	multi	ADJ
bracis-28350	347	15	-	-	ADJ
bracis-28350	347	16	way	way	NOUN
bracis-28350	347	17	metrics	metric	NOUN
bracis-28350	347	18	and	and	CCONJ
bracis-28350	347	19	multivariate	multivariate	NOUN
bracis-28350	347	20	coefficients	coefficient	NOUN
bracis-28350	347	21	.	.	PUNCT
bracis-28350	348	1	master	master	NOUN
bracis-28350	348	2	’s	’s	PART
bracis-28350	348	3	thesis	thesis	NOUN
bracis-28350	348	4	,	,	PUNCT
bracis-28350	348	5	leiden	leiden	PROPN
bracis-28350	348	6	university	university	PROPN
bracis-28350	348	7	(	(	PUNCT
bracis-28350	348	8	2008	2008	NUM
bracis-28350	348	9	)	)	PUNCT
bracis-28350	348	10	google	google	PROPN
bracis-28350	348	11	scholar	scholar	NOUN
bracis-28350	348	12	  	  	SPACE
bracis-28350	348	13	zhang	zhang	PROPN
bracis-28350	348	14	,	,	PUNCT
bracis-28350	348	15	m.l	m.l	PROPN
bracis-28350	348	16	.	.	PROPN
bracis-28350	348	17	,	,	PUNCT
bracis-28350	348	18	li	li	PROPN
bracis-28350	348	19	,	,	PUNCT
bracis-28350	348	20	y.k	y.k	PROPN
bracis-28350	348	21	.	.	PROPN
bracis-28350	348	22	,	,	PUNCT
bracis-28350	348	23	liu	liu	PROPN
bracis-28350	348	24	,	,	PUNCT
bracis-28350	348	25	x.y	x.y	PROPN
bracis-28350	348	26	.	.	PROPN
bracis-28350	348	27	,	,	PUNCT
bracis-28350	348	28	geng	geng	PROPN
bracis-28350	348	29	,	,	PUNCT
bracis-28350	348	30	x.	x.	NOUN
bracis-28350	348	31	:	:	PUNCT
bracis-28350	348	32	binary	binary	ADJ
bracis-28350	348	33	relevance	relevance	NOUN
bracis-28350	348	34	for	for	ADP
bracis-28350	348	35	multi	multi	ADJ
bracis-28350	348	36	-	-	ADJ
bracis-28350	348	37	label	label	ADJ
bracis-28350	348	38	learning	learning	NOUN
bracis-28350	348	39	:	:	PUNCT
bracis-28350	348	40	an	an	DET
bracis-28350	348	41	overview	overview	NOUN
bracis-28350	348	42	.	.	PUNCT
bracis-28350	349	1	front	front	ADJ
bracis-28350	349	2	.	.	PUNCT
bracis-28350	350	1	comput	comput	NOUN
bracis-28350	350	2	.	.	PUNCT
bracis-28350	351	1	sci	sci	PROPN
bracis-28350	351	2	.	.	PROPN
bracis-28350	352	1	12	12	NUM
bracis-28350	352	2	,	,	PUNCT
bracis-28350	352	3	191–202	191–202	NUM
bracis-28350	352	4	(	(	PUNCT
bracis-28350	352	5	2018	2018	NUM
bracis-28350	352	6	)	)	PUNCT
bracis-28350	352	7	google	google	PROPN
bracis-28350	352	8	scholar	scholar	NOUN
bracis-28350	352	9	  	  	SPACE
bracis-28350	352	10	zhang	zhang	PROPN
bracis-28350	352	11	,	,	PUNCT
bracis-28350	352	12	m.l	m.l	PROPN
bracis-28350	352	13	.	.	PROPN
bracis-28350	352	14	,	,	PUNCT
bracis-28350	352	15	zhou	zhou	PROPN
bracis-28350	352	16	,	,	PUNCT
bracis-28350	352	17	z.h	z.h	PROPN
bracis-28350	352	18	.	.	PROPN
bracis-28350	352	19	:	:	PUNCT
bracis-28350	353	1	multi	multi	ADJ
bracis-28350	353	2	-	-	ADJ
bracis-28350	353	3	label	label	ADJ
bracis-28350	353	4	neural	neural	ADJ
bracis-28350	353	5	networks	network	NOUN
bracis-28350	353	6	with	with	ADP
bracis-28350	353	7	applications	application	NOUN
bracis-28350	353	8	to	to	ADP
bracis-28350	353	9	functional	functional	ADJ
bracis-28350	353	10	genomics	genomic	NOUN
bracis-28350	353	11	and	and	CCONJ
bracis-28350	353	12	text	text	NOUN
bracis-28350	353	13	categorization	categorization	NOUN
bracis-28350	353	14	.	.	PUNCT
bracis-28350	354	1	ieee	ieee	PROPN
bracis-28350	354	2	trans	trans	PROPN
bracis-28350	354	3	.	.	PROPN
bracis-28350	355	1	knowl	knowl	PROPN
bracis-28350	355	2	.	.	PUNCT
bracis-28350	356	1	data	data	PROPN
bracis-28350	356	2	eng	eng	PROPN
bracis-28350	356	3	.	.	PROPN
bracis-28350	356	4	18	18	NUM
bracis-28350	356	5	,	,	PUNCT
bracis-28350	356	6	1338–1351	1338–1351	NUM
bracis-28350	356	7	(	(	PUNCT
bracis-28350	356	8	2006	2006	NUM
bracis-28350	356	9	)	)	PUNCT
bracis-28350	356	10	google	google	PROPN
bracis-28350	356	11	scholar	scholar	NOUN
bracis-28350	356	12	  	  	SPACE
bracis-28350	356	13	zhang	zhang	PROPN
bracis-28350	356	14	,	,	PUNCT
bracis-28350	356	15	m.l	m.l	PROPN
bracis-28350	356	16	.	.	PROPN
bracis-28350	356	17	,	,	PUNCT
bracis-28350	356	18	zhou	zhou	PROPN
bracis-28350	356	19	,	,	PUNCT
bracis-28350	356	20	z.h	z.h	PROPN
bracis-28350	356	21	.	.	PROPN
bracis-28350	356	22	:	:	PUNCT
bracis-28350	356	23	ml	ml	PROPN
bracis-28350	356	24	-	-	PUNCT
bracis-28350	356	25	knn	knn	VERB
bracis-28350	356	26	:	:	PUNCT
bracis-28350	356	27	a	a	DET
bracis-28350	356	28	lazy	lazy	ADJ
bracis-28350	356	29	learning	learning	NOUN
bracis-28350	356	30	approach	approach	NOUN
bracis-28350	356	31	to	to	ADP
bracis-28350	356	32	multi	multi	ADJ
bracis-28350	356	33	-	-	ADJ
bracis-28350	356	34	label	label	ADJ
bracis-28350	356	35	learning	learning	NOUN
bracis-28350	356	36	.	.	PUNCT
bracis-28350	357	1	pattern	pattern	NOUN
bracis-28350	357	2	recogn	recogn	VERB
bracis-28350	357	3	.	.	PROPN
bracis-28350	358	1	40	40	NUM
bracis-28350	358	2	,	,	PUNCT
bracis-28350	358	3	2038–2048	2038–2048	NUM
bracis-28350	358	4	(	(	PUNCT
bracis-28350	358	5	2007	2007	NUM
bracis-28350	358	6	)	)	PUNCT
bracis-28350	358	7	google	google	PROPN
bracis-28350	358	8	scholar	scholar	NOUN
bracis-28350	358	9	  	  	SPACE
bracis-28350	358	10	zhou	zhou	PROPN
bracis-28350	358	11	,	,	PUNCT
bracis-28350	358	12	j.p	j.p	PROPN
bracis-28350	358	13	.	.	PROPN
bracis-28350	358	14	,	,	PUNCT
bracis-28350	358	15	chen	chen	PROPN
bracis-28350	358	16	,	,	PUNCT
bracis-28350	358	17	l.	l.	PROPN
bracis-28350	358	18	,	,	PUNCT
bracis-28350	358	19	guo	guo	PROPN
bracis-28350	358	20	,	,	PUNCT
bracis-28350	358	21	z.h	z.h	PROPN
bracis-28350	358	22	.	.	PROPN
bracis-28350	358	23	,	,	PUNCT
bracis-28350	358	24	hancock	hancock	PROPN
bracis-28350	358	25	,	,	PUNCT
bracis-28350	358	26	j.	j.	PROPN
bracis-28350	358	27	:	:	PUNCT
bracis-28350	358	28	iatc	iatc	NOUN
bracis-28350	358	29	-	-	PUNCT
bracis-28350	358	30	nrakel	nrakel	NOUN
bracis-28350	358	31	:	:	PUNCT
bracis-28350	358	32	an	an	DET
bracis-28350	358	33	efficient	efficient	ADJ
bracis-28350	358	34	multi	multi	ADJ
bracis-28350	358	35	-	-	ADJ
bracis-28350	358	36	label	label	ADJ
bracis-28350	358	37	classifier	classifier	NOUN
bracis-28350	358	38	for	for	ADP
bracis-28350	358	39	recognizing	recognize	VERB
bracis-28350	358	40	anatomical	anatomical	ADJ
bracis-28350	358	41	therapeutic	therapeutic	ADJ
bracis-28350	358	42	chemical	chemical	NOUN
bracis-28350	358	43	classes	class	NOUN
bracis-28350	358	44	of	of	ADP
bracis-28350	358	45	drugs	drug	NOUN
bracis-28350	358	46	.	.	PUNCT
bracis-28350	359	1	bioinformatics	bioinformatics	NOUN
bracis-28350	359	2	36	36	NUM
bracis-28350	359	3	,	,	PUNCT
bracis-28350	359	4	1391–1396	1391–1396	NUM
bracis-28350	359	5	(	(	PUNCT
bracis-28350	359	6	2020	2020	NUM
bracis-28350	359	7	)	)	PUNCT
bracis-28350	359	8	google	google	PROPN
bracis-28350	359	9	scholar	scholar	NOUN
bracis-28350	359	10	  	  	SPACE
bracis-28350	359	11	download	download	NOUN
bracis-28350	359	12	references	reference	NOUN
bracis-28350	359	13	acknowledgments	acknowledgment	NOUN
bracis-28350	359	14	this	this	DET
bracis-28350	359	15	study	study	NOUN
bracis-28350	359	16	was	be	AUX
bracis-28350	359	17	financed	finance	VERB
bracis-28350	359	18	in	in	ADP
bracis-28350	359	19	part	part	NOUN
bracis-28350	359	20	by	by	ADP
bracis-28350	359	21	the	the	DET
bracis-28350	359	22	coordenação	coordenação	PROPN
bracis-28350	359	23	de	de	PROPN
bracis-28350	359	24	aperfeiçoamento	aperfeiçoamento	PROPN
bracis-28350	359	25	de	de	X
bracis-28350	359	26	pessoal	pessoal	PROPN
bracis-28350	359	27	de	de	PROPN
bracis-28350	359	28	nível	nível	PROPN
bracis-28350	359	29	superior	superior	PROPN
bracis-28350	359	30	brasil	brasil	PROPN
bracis-28350	359	31	(	(	PUNCT
bracis-28350	359	32	capes	cape	NOUN
bracis-28350	359	33	)	)	PUNCT
bracis-28350	359	34	finance	finance	NOUN
bracis-28350	359	35	code	code	NOUN
bracis-28350	359	36	001	001	NOUN
bracis-28350	359	37	.	.	PUNCT
bracis-28350	360	1	the	the	DET
bracis-28350	360	2	authors	author	NOUN
bracis-28350	360	3	also	also	ADV
bracis-28350	360	4	thank	thank	VERB
bracis-28350	360	5	the	the	DET
bracis-28350	360	6	brazilian	brazilian	ADJ
bracis-28350	360	7	research	research	NOUN
bracis-28350	360	8	agencies	agency	NOUN
bracis-28350	360	9	fapesp	fapesp	NOUN
bracis-28350	360	10	and	and	CCONJ
bracis-28350	360	11	cnpq	cnpq	NOUN
bracis-28350	360	12	for	for	ADP
bracis-28350	360	13	financial	financial	ADJ
bracis-28350	360	14	support	support	NOUN
bracis-28350	360	15	.	.	PUNCT
bracis-28350	361	1	author	author	NOUN
bracis-28350	361	2	information	information	NOUN
bracis-28350	361	3	authors	author	NOUN
bracis-28350	361	4	and	and	CCONJ
bracis-28350	361	5	affiliations	affiliation	NOUN
bracis-28350	361	6	department	department	PROPN
bracis-28350	361	7	of	of	ADP
bracis-28350	361	8	computer	computer	NOUN
bracis-28350	361	9	science	science	NOUN
bracis-28350	361	10	,	,	PUNCT
bracis-28350	361	11	federal	federal	ADJ
bracis-28350	361	12	university	university	PROPN
bracis-28350	361	13	of	of	ADP
bracis-28350	361	14	são	são	PROPN
bracis-28350	361	15	carlos	carlos	PROPN
bracis-28350	361	16	,	,	PUNCT
bracis-28350	361	17	rodovia	rodovia	ADP
bracis-28350	361	18	washington	washington	PROPN
bracis-28350	361	19	luis	luis	PROPN
bracis-28350	361	20	,	,	PUNCT
bracis-28350	361	21	km	km	PROPN
bracis-28350	361	22	235	235	NUM
bracis-28350	361	23	,	,	PUNCT
bracis-28350	361	24	são	são	PROPN
bracis-28350	361	25	carlos	carlos	PROPN
bracis-28350	361	26	,	,	PUNCT
bracis-28350	361	27	sp	sp	PROPN
bracis-28350	361	28	,	,	PUNCT
bracis-28350	361	29	brazil	brazil	PROPN
bracis-28350	361	30	elaine	elaine	PROPN
bracis-28350	361	31	cecília	cecília	PROPN
bracis-28350	361	32	gatto	gatto	PROPN
bracis-28350	361	33	,	,	PUNCT
bracis-28350	361	34	 	 	SPACE
bracis-28350	361	35	alan	alan	PROPN
bracis-28350	361	36	demétrius	demétrius	PROPN
bracis-28350	361	37	baria	baria	PROPN
bracis-28350	361	38	valejo	valejo	PROPN
bracis-28350	361	39	 	 	SPACE
bracis-28350	361	40	&	&	CCONJ
bracis-28350	361	41	 	 	SPACE
bracis-28350	361	42	ricardo	ricardo	PROPN
bracis-28350	361	43	cerri	cerri	PROPN
bracis-28350	361	44	federal	federal	PROPN
bracis-28350	361	45	university	university	PROPN
bracis-28350	361	46	of	of	ADP
bracis-28350	361	47	santa	santa	PROPN
bracis-28350	361	48	catarina	catarina	PROPN
bracis-28350	361	49	,	,	PUNCT
bracis-28350	361	50	rua	rua	PROPN
bracis-28350	361	51	joão	joão	PROPN
bracis-28350	361	52	pessoa	pessoa	PROPN
bracis-28350	361	53	,	,	PUNCT
bracis-28350	361	54	blumenau	blumenau	NOUN
bracis-28350	361	55	,	,	PUNCT
bracis-28350	361	56	2750	2750	NUM
bracis-28350	361	57	,	,	PUNCT
bracis-28350	361	58	santa	santa	PROPN
bracis-28350	361	59	catarina	catarina	PROPN
bracis-28350	361	60	,	,	PUNCT
bracis-28350	361	61	brazil	brazil	PROPN
bracis-28350	361	62	mauri	mauri	PROPN
bracis-28350	361	63	ferrandin	ferrandin	PROPN
bracis-28350	361	64	authors	author	NOUN
bracis-28350	361	65	elaine	elaine	PROPN
bracis-28350	361	66	cecília	cecília	PROPN
bracis-28350	361	67	gattoview	gattoview	VERB
bracis-28350	361	68	author	author	NOUN
bracis-28350	361	69	publications	publication	NOUN
bracis-28350	361	70	search	search	NOUN
bracis-28350	361	71	author	author	NOUN
bracis-28350	361	72	on	on	ADP
bracis-28350	361	73	:	:	PUNCT
bracis-28350	361	74	pubmed	pubmed	PROPN
bracis-28350	361	75	 	 	SPACE
bracis-28350	361	76	google	google	PROPN
bracis-28350	361	77	scholar	scholar	PROPN
bracis-28350	361	78	alan	alan	PROPN
bracis-28350	361	79	demétrius	demétrius	PROPN
bracis-28350	361	80	baria	baria	PROPN
bracis-28350	361	81	valejoview	valejoview	NOUN
bracis-28350	361	82	author	author	NOUN
bracis-28350	361	83	publications	publication	NOUN
bracis-28350	361	84	search	search	NOUN
bracis-28350	361	85	author	author	NOUN
bracis-28350	361	86	on	on	ADP
bracis-28350	361	87	:	:	PUNCT
bracis-28350	361	88	pubmed	pubmed	PROPN
bracis-28350	361	89	 	 	SPACE
bracis-28350	361	90	google	google	PROPN
bracis-28350	361	91	scholar	scholar	NOUN
bracis-28350	361	92	mauri	mauri	NOUN
bracis-28350	361	93	ferrandinview	ferrandinview	NOUN
bracis-28350	361	94	author	author	NOUN
bracis-28350	361	95	publications	publication	VERB
bracis-28350	361	96	search	search	NOUN
bracis-28350	361	97	author	author	NOUN
bracis-28350	361	98	on	on	ADP
bracis-28350	361	99	:	:	PUNCT
bracis-28350	361	100	pubmed	pubmed	PROPN
bracis-28350	361	101	 	 	SPACE
bracis-28350	361	102	google	google	PROPN
bracis-28350	361	103	scholar	scholar	NOUN
bracis-28350	361	104	ricardo	ricardo	PROPN
bracis-28350	361	105	cerriview	cerriview	NOUN
bracis-28350	361	106	author	author	NOUN
bracis-28350	361	107	publications	publication	NOUN
bracis-28350	361	108	search	search	NOUN
bracis-28350	361	109	author	author	NOUN
bracis-28350	361	110	on	on	ADP
bracis-28350	361	111	:	:	PUNCT
bracis-28350	361	112	pubmed	pubmed	PROPN
bracis-28350	361	113	 	 	SPACE
bracis-28350	361	114	google	google	PROPN
bracis-28350	361	115	scholar	scholar	NOUN
bracis-28350	361	116	corresponding	correspond	VERB
bracis-28350	361	117	author	author	NOUN
bracis-28350	361	118	correspondence	correspondence	NOUN
bracis-28350	361	119	to	to	ADP
bracis-28350	361	120	elaine	elaine	PROPN
bracis-28350	361	121	cecília	cecília	PROPN
bracis-28350	361	122	gatto	gatto	PROPN
bracis-28350	361	123	.	.	PUNCT
bracis-28350	362	1	editor	editor	NOUN
bracis-28350	362	2	information	information	NOUN
bracis-28350	362	3	editors	editor	NOUN
bracis-28350	362	4	and	and	CCONJ
bracis-28350	362	5	affiliations	affiliation	NOUN
bracis-28350	362	6	federal	federal	PROPN
bracis-28350	362	7	university	university	PROPN
bracis-28350	362	8	of	of	ADP
bracis-28350	362	9	são	são	PROPN
bracis-28350	362	10	carlos	carlos	PROPN
bracis-28350	362	11	,	,	PUNCT
bracis-28350	362	12	são	são	PROPN
bracis-28350	362	13	carlos	carlos	PROPN
bracis-28350	362	14	,	,	PUNCT
bracis-28350	362	15	brazil	brazil	PROPN
bracis-28350	362	16	murilo	murilo	PROPN
bracis-28350	362	17	c.	c.	PROPN
bracis-28350	362	18	naldi	naldi	PROPN
bracis-28350	362	19	centro	centro	PROPN
bracis-28350	362	20	universitario	universitario	PROPN
bracis-28350	362	21	da	da	PROPN
bracis-28350	362	22	fei	fei	PROPN
bracis-28350	362	23	,	,	PUNCT
bracis-28350	362	24	são	são	PROPN
bracis-28350	362	25	bernardo	bernardo	PROPN
bracis-28350	362	26	do	do	AUX
bracis-28350	362	27	campo	campo	PROPN
bracis-28350	362	28	,	,	PUNCT
bracis-28350	362	29	brazil	brazil	PROPN
bracis-28350	362	30	reinaldo	reinaldo	PROPN
bracis-28350	362	31	a.	a.	PROPN
bracis-28350	362	32	c.	c.	PROPN
bracis-28350	362	33	bianchi	bianchi	PROPN
bracis-28350	362	34	rights	right	NOUN
bracis-28350	362	35	and	and	CCONJ
bracis-28350	362	36	permissions	permission	NOUN
bracis-28350	362	37	reprints	reprint	NOUN
bracis-28350	362	38	and	and	CCONJ
bracis-28350	362	39	permissions	permission	VERB
bracis-28350	362	40	copyright	copyright	NOUN
bracis-28350	362	41	information	information	NOUN
bracis-28350	362	42	©	©	ADP
bracis-28350	362	43	2023	2023	NUM
bracis-28350	362	44	the	the	DET
bracis-28350	362	45	author(s	author(s	NOUN
bracis-28350	362	46	)	)	PUNCT
bracis-28350	362	47	,	,	PUNCT
bracis-28350	362	48	under	under	ADP
bracis-28350	362	49	exclusive	exclusive	ADJ
bracis-28350	362	50	license	license	NOUN
bracis-28350	362	51	to	to	ADP
bracis-28350	362	52	springer	springer	NOUN
bracis-28350	362	53	nature	nature	PROPN
bracis-28350	362	54	switzerland	switzerland	PROPN
bracis-28350	362	55	ag	ag	PROPN
bracis-28350	362	56	about	about	ADP
bracis-28350	362	57	this	this	DET
bracis-28350	362	58	paper	paper	NOUN
bracis-28350	362	59	cite	cite	VERB
bracis-28350	362	60	this	this	DET
bracis-28350	362	61	paper	paper	NOUN
bracis-28350	362	62	gatto	gatto	NOUN
bracis-28350	362	63	,	,	PUNCT
bracis-28350	362	64	e.c	e.c	PROPN
bracis-28350	362	65	.	.	PROPN
bracis-28350	362	66	,	,	PUNCT
bracis-28350	362	67	valejo	valejo	ADJ
bracis-28350	362	68	,	,	PUNCT
bracis-28350	362	69	a.d.b	a.d.b	NOUN
bracis-28350	362	70	.	.	NOUN
bracis-28350	362	71	,	,	PUNCT
bracis-28350	362	72	ferrandin	ferrandin	PROPN
bracis-28350	362	73	,	,	PUNCT
bracis-28350	362	74	m.	m.	NOUN
bracis-28350	362	75	,	,	PUNCT
bracis-28350	362	76	cerri	cerri	PROPN
bracis-28350	362	77	,	,	PUNCT
bracis-28350	362	78	r.	r.	PROPN
bracis-28350	362	79	(	(	PUNCT
bracis-28350	362	80	2023	2023	NUM
bracis-28350	362	81	)	)	PUNCT
bracis-28350	362	82	.	.	PUNCT
bracis-28350	363	1	community	community	NOUN
bracis-28350	363	2	detection	detection	NOUN
bracis-28350	363	3	for	for	ADP
bracis-28350	363	4	 	 	SPACE
bracis-28350	363	5	multi	multi	ADJ
bracis-28350	363	6	-	-	ADJ
bracis-28350	363	7	label	label	ADJ
bracis-28350	363	8	classification	classification	NOUN
bracis-28350	363	9	.	.	PUNCT
bracis-28350	364	1	in	in	ADP
bracis-28350	364	2	:	:	PUNCT
bracis-28350	364	3	naldi	naldi	PROPN
bracis-28350	364	4	,	,	PUNCT
bracis-28350	364	5	m.c	m.c	PROPN
bracis-28350	364	6	.	.	PROPN
bracis-28350	364	7	,	,	PUNCT
bracis-28350	364	8	bianchi	bianchi	PROPN
bracis-28350	364	9	,	,	PUNCT
bracis-28350	364	10	r.a.c	r.a.c	ADP
bracis-28350	364	11	.	.	PUNCT
bracis-28350	364	12	(	(	PUNCT
bracis-28350	364	13	eds	ed	NOUN
bracis-28350	364	14	)	)	PUNCT
bracis-28350	364	15	intelligent	intelligent	ADJ
bracis-28350	364	16	systems	system	NOUN
bracis-28350	364	17	.	.	PUNCT
bracis-28350	365	1	bracis	bracis	PROPN
bracis-28350	365	2	2023	2023	NUM
bracis-28350	365	3	.	.	PUNCT
bracis-28350	366	1	lecture	lecture	NOUN
bracis-28350	366	2	notes	note	NOUN
bracis-28350	366	3	in	in	ADP
bracis-28350	366	4	computer	computer	NOUN
bracis-28350	366	5	science	science	NOUN
bracis-28350	366	6	(	(	PUNCT
bracis-28350	366	7	)	)	PUNCT
bracis-28350	366	8	,	,	PUNCT
bracis-28350	366	9	vol	vol	NOUN
bracis-28350	366	10	14195	14195	NUM
bracis-28350	366	11	.	.	PUNCT
bracis-28350	367	1	springer	springer	NOUN
bracis-28350	367	2	,	,	PUNCT
bracis-28350	367	3	cham	cham	PROPN
bracis-28350	367	4	.	.	PUNCT
bracis-28350	368	1	https://doi.org/10.1007/978-3-031-45368-7_6	https://doi.org/10.1007/978-3-031-45368-7_6	PROPN
bracis-28350	368	2	download	download	PROPN
bracis-28350	368	3	citation	citation	PROPN
bracis-28350	368	4	.ris	.ris	PUNCT
bracis-28350	369	1	.enw	.enw	PROPN
bracis-28350	369	2	.bib	.bib	PUNCT
bracis-28350	370	1	doi	doi	PROPN
bracis-28350	370	2	:	:	PUNCT
bracis-28350	370	3	https://doi.org/10.1007/978-3-031-45368-7_6	https://doi.org/10.1007/978-3-031-45368-7_6	PRON
bracis-28350	370	4	published	publish	VERB
bracis-28350	370	5	:	:	PUNCT
bracis-28350	370	6	12	12	NUM
bracis-28350	370	7	october	october	PROPN
bracis-28350	370	8	2023	2023	NUM
bracis-28350	370	9	publisher	publisher	NOUN
bracis-28350	370	10	name	name	NOUN
bracis-28350	370	11	:	:	PUNCT
bracis-28350	370	12	springer	springer	NOUN
bracis-28350	370	13	,	,	PUNCT
bracis-28350	370	14	cham	cham	PROPN
bracis-28350	370	15	print	print	PROPN
bracis-28350	370	16	isbn	isbn	PROPN
bracis-28350	370	17	:	:	PUNCT
bracis-28350	370	18	978	978	NUM
bracis-28350	370	19	-	-	SYM
bracis-28350	370	20	3	3	NUM
bracis-28350	370	21	-	-	PUNCT
bracis-28350	370	22	031	031	NUM
bracis-28350	370	23	-	-	PUNCT
bracis-28350	370	24	45367	45367	NUM
bracis-28350	370	25	-	-	PUNCT
bracis-28350	370	26	0	0	NUM
bracis-28350	370	27	online	online	ADJ
bracis-28350	370	28	isbn	isbn	NOUN
bracis-28350	370	29	:	:	PUNCT
bracis-28350	370	30	978	978	NUM
bracis-28350	370	31	-	-	SYM
bracis-28350	370	32	3	3	NUM
bracis-28350	370	33	-	-	PUNCT
bracis-28350	370	34	031	031	NUM
bracis-28350	370	35	-	-	PUNCT
bracis-28350	370	36	45368	45368	NUM
bracis-28350	370	37	-	-	PUNCT
bracis-28350	370	38	7	7	NUM
bracis-28350	370	39	ebook	ebook	NOUN
bracis-28350	370	40	packages	package	NOUN
bracis-28350	370	41	:	:	PUNCT
bracis-28350	370	42	computer	computer	NOUN
bracis-28350	370	43	sciencecomputer	sciencecomputer	NOUN
bracis-28350	370	44	science	science	NOUN
bracis-28350	370	45	(	(	PUNCT
bracis-28350	370	46	r0	r0	NOUN
bracis-28350	370	47	)	)	PUNCT
bracis-28350	370	48	share	share	VERB
bracis-28350	370	49	this	this	DET
bracis-28350	370	50	paper	paper	NOUN
bracis-28350	370	51	anyone	anyone	PRON
bracis-28350	370	52	you	you	PRON
bracis-28350	370	53	share	share	VERB
bracis-28350	370	54	the	the	DET
bracis-28350	370	55	following	follow	VERB
bracis-28350	370	56	link	link	NOUN
bracis-28350	370	57	with	with	ADP
bracis-28350	370	58	will	will	AUX
bracis-28350	370	59	be	be	AUX
bracis-28350	370	60	able	able	ADJ
bracis-28350	370	61	to	to	PART
bracis-28350	370	62	read	read	VERB
bracis-28350	370	63	this	this	DET
bracis-28350	370	64	content	content	NOUN
bracis-28350	370	65	:	:	PUNCT
bracis-28350	370	66	get	get	VERB
bracis-28350	370	67	shareable	shareable	ADJ
bracis-28350	370	68	linksorry	linksorry	NOUN
bracis-28350	370	69	,	,	PUNCT
bracis-28350	370	70	a	a	DET
bracis-28350	370	71	shareable	shareable	ADJ
bracis-28350	370	72	link	link	NOUN
bracis-28350	370	73	is	be	AUX
bracis-28350	370	74	not	not	PART
bracis-28350	370	75	currently	currently	ADV
bracis-28350	370	76	available	available	ADJ
bracis-28350	370	77	for	for	ADP
bracis-28350	370	78	this	this	DET
bracis-28350	370	79	article	article	NOUN
bracis-28350	370	80	.	.	PUNCT
bracis-28350	371	1	copy	copy	VERB
bracis-28350	371	2	shareable	shareable	ADJ
bracis-28350	371	3	link	link	NOUN
bracis-28350	371	4	to	to	PART
bracis-28350	371	5	clipboard	clipboard	NOUN
bracis-28350	371	6	provided	provide	VERB
bracis-28350	371	7	by	by	ADP
bracis-28350	371	8	the	the	DET
bracis-28350	371	9	springer	springer	NOUN
bracis-28350	371	10	nature	nature	PROPN
bracis-28350	371	11	sharedit	sharedit	PROPN
bracis-28350	371	12	content	content	NOUN
bracis-28350	371	13	-	-	PUNCT
bracis-28350	371	14	sharing	share	VERB
bracis-28350	371	15	initiative	initiative	NOUN
bracis-28350	371	16	keywords	keyword	VERB
bracis-28350	371	17	multi	multi	ADJ
bracis-28350	371	18	-	-	ADJ
bracis-28350	371	19	label	label	ADJ
bracis-28350	371	20	partitions	partition	NOUN
bracis-28350	371	21	multi	multi	ADJ
bracis-28350	371	22	-	-	ADJ
bracis-28350	371	23	label	label	ADJ
bracis-28350	371	24	learning	learn	VERB
bracis-28350	371	25	label	label	NOUN
bracis-28350	371	26	correlations	correlation	NOUN
bracis-28350	371	27	label	label	NOUN
bracis-28350	371	28	communities	community	NOUN
bracis-28350	371	29	label	label	NOUN
bracis-28350	371	30	problems	problem	NOUN
bracis-28350	371	31	publish	publish	VERB
bracis-28350	371	32	with	with	ADP
bracis-28350	371	33	us	us	PROPN
bracis-28350	371	34	policies	policy	NOUN
bracis-28350	371	35	and	and	CCONJ
bracis-28350	371	36	ethics	ethic	NOUN
bracis-28350	371	37	profiles	profile	NOUN
bracis-28350	371	38	elaine	elaine	PROPN
bracis-28350	371	39	cecília	cecília	PROPN
bracis-28350	371	40	gatto	gatto	PROPN
bracis-28350	371	41	view	view	PROPN
bracis-28350	371	42	author	author	NOUN
bracis-28350	371	43	profile	profile	PROPN
bracis-28350	371	44	mauri	mauri	PROPN
bracis-28350	371	45	ferrandin	ferrandin	NOUN
bracis-28350	371	46	view	view	NOUN
bracis-28350	371	47	author	author	NOUN
bracis-28350	371	48	profile	profile	PROPN
bracis-28350	371	49	ricardo	ricardo	PROPN
bracis-28350	371	50	cerri	cerri	PROPN
bracis-28350	371	51	view	view	PROPN
bracis-28350	371	52	author	author	NOUN
bracis-28350	371	53	profile	profile	NOUN
bracis-28350	371	54	search	search	NOUN
bracis-28350	371	55	search	search	NOUN
bracis-28350	371	56	by	by	ADP
bracis-28350	371	57	keyword	keyword	NOUN
bracis-28350	371	58	or	or	CCONJ
bracis-28350	371	59	author	author	NOUN
bracis-28350	371	60	search	search	NOUN
bracis-28350	371	61	navigation	navigation	NOUN
bracis-28350	371	62	find	find	VERB
bracis-28350	371	63	a	a	DET
bracis-28350	371	64	journal	journal	NOUN
bracis-28350	371	65	publish	publish	VERB
bracis-28350	371	66	with	with	ADP
bracis-28350	371	67	us	we	PRON
bracis-28350	371	68	track	track	VERB
bracis-28350	371	69	your	your	PRON
bracis-28350	371	70	research	research	NOUN
bracis-28350	371	71	discover	discover	VERB
bracis-28350	371	72	content	content	NOUN
bracis-28350	371	73	journals	journal	NOUN
bracis-28350	371	74	a	a	DET
bracis-28350	371	75	-	-	PUNCT
bracis-28350	371	76	z	z	NOUN
bracis-28350	371	77	books	book	NOUN
bracis-28350	371	78	a	a	DET
bracis-28350	371	79	-	-	PUNCT
bracis-28350	371	80	z	z	NOUN
bracis-28350	371	81	publish	publish	NOUN
bracis-28350	371	82	with	with	ADP
bracis-28350	371	83	us	us	PROPN
bracis-28350	371	84	journal	journal	PROPN
bracis-28350	371	85	finder	finder	PROPN
bracis-28350	371	86	publish	publish	VERB
bracis-28350	371	87	your	your	PRON
bracis-28350	371	88	research	research	NOUN
bracis-28350	371	89	language	language	NOUN
bracis-28350	371	90	editing	edit	VERB
bracis-28350	371	91	open	open	ADJ
bracis-28350	371	92	access	access	NOUN
bracis-28350	371	93	publishing	publishing	NOUN
bracis-28350	371	94	products	product	NOUN
bracis-28350	371	95	and	and	CCONJ
bracis-28350	371	96	services	service	NOUN
bracis-28350	371	97	our	our	PRON
bracis-28350	371	98	products	product	NOUN
bracis-28350	371	99	librarians	librarian	VERB
bracis-28350	371	100	societies	society	NOUN
bracis-28350	371	101	partners	partner	NOUN
bracis-28350	371	102	and	and	CCONJ
bracis-28350	371	103	advertisers	advertiser	NOUN
bracis-28350	371	104	our	our	PRON
bracis-28350	371	105	brands	brand	NOUN
bracis-28350	371	106	springer	springer	NOUN
bracis-28350	371	107	nature	nature	PROPN
bracis-28350	371	108	portfolio	portfolio	PROPN
bracis-28350	371	109	bmc	bmc	PROPN
bracis-28350	371	110	palgrave	palgrave	PROPN
bracis-28350	371	111	macmillan	macmillan	PROPN
bracis-28350	371	112	apress	apress	PROPN
bracis-28350	371	113	discover	discover	VERB
bracis-28350	371	114	your	your	PRON
bracis-28350	371	115	privacy	privacy	NOUN
bracis-28350	371	116	choices	choice	NOUN
bracis-28350	371	117	/	/	SYM
bracis-28350	371	118	manage	manage	NOUN
bracis-28350	371	119	cookies	cookie	NOUN
bracis-28350	371	120	your	your	PRON
bracis-28350	371	121	us	us	PROPN
bracis-28350	372	1	state	state	NOUN
bracis-28350	372	2	privacy	privacy	NOUN
bracis-28350	372	3	rights	right	NOUN
bracis-28350	372	4	accessibility	accessibility	NOUN
bracis-28350	372	5	statement	statement	NOUN
bracis-28350	372	6	terms	term	NOUN
bracis-28350	372	7	and	and	CCONJ
bracis-28350	372	8	conditions	condition	NOUN
bracis-28350	372	9	privacy	privacy	NOUN
bracis-28350	372	10	policy	policy	NOUN
bracis-28350	372	11	help	help	NOUN
bracis-28350	372	12	and	and	CCONJ
bracis-28350	372	13	support	support	VERB
bracis-28350	372	14	legal	legal	ADJ
bracis-28350	372	15	notice	notice	NOUN
bracis-28350	372	16	cancel	cancel	VERB
bracis-28350	372	17	contracts	contract	NOUN
bracis-28350	372	18	here	here	ADV
bracis-28350	372	19	129.74.145.123	129.74.145.123	NUM
bracis-28350	372	20	hesburgh	hesburgh	PROPN
bracis-28350	372	21	library	library	PROPN
bracis-28350	372	22	er	er	INTJ
bracis-28350	372	23	unit	unit	NOUN
bracis-28350	372	24	(	(	PUNCT
bracis-28350	372	25	3005732405	3005732405	NUM
bracis-28350	372	26	)	)	PUNCT
bracis-28350	372	27	northeast	northeast	ADJ
bracis-28350	372	28	research	research	NOUN
bracis-28350	372	29	libraries	library	NOUN
bracis-28350	372	30	(	(	PUNCT
bracis-28350	372	31	nerl	nerl	PROPN
bracis-28350	372	32	)	)	PUNCT
bracis-28350	372	33	(	(	PUNCT
bracis-28350	372	34	8200828607	8200828607	NUM
bracis-28350	372	35	)	)	PUNCT
bracis-28350	372	36	nerl	nerl	VERB
bracis-28350	372	37	ta	ta	X
bracis-28350	372	38	account	account	NOUN
bracis-28350	372	39	(	(	PUNCT
bracis-28350	372	40	3006206169	3006206169	NUM
bracis-28350	372	41	)	)	PUNCT
bracis-28350	372	42	university	university	NOUN
bracis-28350	372	43	of	of	ADP
bracis-28350	372	44	notre	notre	PROPN
bracis-28350	372	45	dame	dame	PROPN
bracis-28350	372	46	hesburgh	hesburgh	PROPN
bracis-28350	372	47	library	library	NOUN
bracis-28350	372	48	(	(	PUNCT
bracis-28350	372	49	3000184373	3000184373	NUM
bracis-28350	372	50	)	)	PUNCT
bracis-28350	373	1	©	©	ADP
bracis-28350	373	2	2025	2025	NUM
bracis-28350	373	3	springer	springer	NOUN
bracis-28350	373	4	nature	nature	NOUN