id	sid	tid	token	lemma	pos
bracis-33607	1	1	semi	semi	ADJ
bracis-33607	1	2	-	-	ADJ
bracis-33607	1	3	supervised	supervised	ADJ
bracis-33607	1	4	predictive	predictive	ADJ
bracis-33607	1	5	clustering	clustering	NOUN
bracis-33607	1	6	trees	tree	NOUN
bracis-33607	1	7	for	for	ADP
bracis-33607	1	8	 	 	SPACE
bracis-33607	1	9	multi	multi	ADJ
bracis-33607	1	10	-	-	ADJ
bracis-33607	1	11	label	label	ADJ
bracis-33607	1	12	protein	protein	NOUN
bracis-33607	1	13	subcellular	subcellular	ADJ
bracis-33607	1	14	localization	localization	NOUN
bracis-33607	1	15	|	|	NOUN
bracis-33607	1	16	springer	springer	NOUN
bracis-33607	1	17	nature	nature	PROPN
bracis-33607	1	18	link	link	PROPN
bracis-33607	1	19	(	(	PUNCT
bracis-33607	1	20	formerly	formerly	ADV
bracis-33607	1	21	springerlink	springerlink	NOUN
bracis-33607	1	22	)	)	PUNCT
bracis-33607	1	23	skip	skip	VERB
bracis-33607	1	24	to	to	ADP
bracis-33607	1	25	main	main	ADJ
bracis-33607	1	26	content	content	NOUN
bracis-33607	1	27	advertisement	advertisement	NOUN
bracis-33607	1	28	log	log	NOUN
bracis-33607	1	29	in	in	ADP
bracis-33607	1	30	menu	menu	NOUN
bracis-33607	1	31	find	find	VERB
bracis-33607	1	32	a	a	DET
bracis-33607	1	33	journal	journal	NOUN
bracis-33607	1	34	publish	publish	VERB
bracis-33607	1	35	with	with	ADP
bracis-33607	1	36	us	we	PRON
bracis-33607	1	37	track	track	VERB
bracis-33607	1	38	your	your	PRON
bracis-33607	1	39	research	research	NOUN
bracis-33607	1	40	search	search	NOUN
bracis-33607	1	41	cart	cart	NOUN
bracis-33607	1	42	home	home	NOUN
bracis-33607	1	43	intelligent	intelligent	ADJ
bracis-33607	1	44	systems	system	NOUN
bracis-33607	1	45	conference	conference	NOUN
bracis-33607	1	46	paper	paper	NOUN
bracis-33607	1	47	semi	semi	ADJ
bracis-33607	1	48	-	-	ADJ
bracis-33607	1	49	supervised	supervised	ADJ
bracis-33607	1	50	predictive	predictive	ADJ
bracis-33607	1	51	clustering	clustering	NOUN
bracis-33607	1	52	trees	tree	NOUN
bracis-33607	1	53	for	for	ADP
bracis-33607	1	54	 	 	SPACE
bracis-33607	1	55	multi	multi	ADJ
bracis-33607	1	56	-	-	ADJ
bracis-33607	1	57	label	label	ADJ
bracis-33607	1	58	protein	protein	NOUN
bracis-33607	1	59	subcellular	subcellular	ADJ
bracis-33607	1	60	localization	localization	NOUN
bracis-33607	1	61	conference	conference	NOUN
bracis-33607	1	62	paper	paper	NOUN
bracis-33607	1	63	first	first	ADV
bracis-33607	1	64	online	online	ADV
bracis-33607	1	65	:	:	PUNCT
bracis-33607	1	66	30	30	NUM
bracis-33607	1	67	january	january	NOUN
bracis-33607	1	68	2025	2025	NUM
bracis-33607	1	69	pp	pp	CCONJ
bracis-33607	1	70	384–399	384–399	NUM
bracis-33607	1	71	cite	cite	VERB
bracis-33607	1	72	this	this	DET
bracis-33607	1	73	conference	conference	NOUN
bracis-33607	1	74	paper	paper	NOUN
bracis-33607	1	75	access	access	NOUN
bracis-33607	1	76	provided	provide	VERB
bracis-33607	1	77	by	by	ADP
bracis-33607	1	78	university	university	PROPN
bracis-33607	1	79	of	of	ADP
bracis-33607	1	80	notre	notre	PROPN
bracis-33607	1	81	dame	dame	PROPN
bracis-33607	1	82	hesburgh	hesburgh	PROPN
bracis-33607	1	83	library	library	PROPN
bracis-33607	1	84	download	download	PROPN
bracis-33607	1	85	book	book	NOUN
bracis-33607	1	86	pdf	pdf	PROPN
bracis-33607	1	87	download	download	NOUN
bracis-33607	1	88	book	book	NOUN
bracis-33607	1	89	epub	epub	PROPN
bracis-33607	1	90	intelligent	intelligent	ADJ
bracis-33607	1	91	systems	system	NOUN
bracis-33607	1	92	(	(	PUNCT
bracis-33607	1	93	bracis	bracis	NOUN
bracis-33607	1	94	2024	2024	NUM
bracis-33607	1	95	)	)	PUNCT
bracis-33607	1	96	semi	semi	ADJ
bracis-33607	1	97	-	-	ADJ
bracis-33607	1	98	supervised	supervised	ADJ
bracis-33607	1	99	predictive	predictive	ADJ
bracis-33607	1	100	clustering	clustering	NOUN
bracis-33607	1	101	trees	tree	NOUN
bracis-33607	1	102	for	for	ADP
bracis-33607	1	103	 	 	SPACE
bracis-33607	1	104	multi	multi	ADJ
bracis-33607	1	105	-	-	ADJ
bracis-33607	1	106	label	label	ADJ
bracis-33607	1	107	protein	protein	NOUN
bracis-33607	1	108	subcellular	subcellular	ADJ
bracis-33607	1	109	localization	localization	NOUN
bracis-33607	1	110	download	download	NOUN
bracis-33607	1	111	book	book	NOUN
bracis-33607	1	112	pdf	pdf	PROPN
bracis-33607	1	113	download	download	NOUN
bracis-33607	1	114	book	book	PROPN
bracis-33607	1	115	epub	epub	PROPN
bracis-33607	1	116	leonardo	leonardo	PROPN
bracis-33607	1	117	u.	u.	PROPN
bracis-33607	1	118	alcantara9	alcantara9	PROPN
bracis-33607	1	119	,	,	PUNCT
bracis-33607	1	120	isaac	isaac	PROPN
bracis-33607	1	121	triguero	triguero	PROPN
bracis-33607	1	122	  	  	SPACE
bracis-33607	1	123	orcid	orcid	NOUN
bracis-33607	1	124	:	:	PUNCT
bracis-33607	1	125	orcid.org/0000-0002-0150-065110	orcid.org/0000-0002-0150-065110	PROPN
bracis-33607	1	126	&	&	CCONJ
bracis-33607	1	127	ricardo	ricardo	PROPN
bracis-33607	1	128	cerri	cerri	PROPN
bracis-33607	1	129	  	  	SPACE
bracis-33607	1	130	orcid	orcid	NOUN
bracis-33607	1	131	:	:	PUNCT
bracis-33607	1	132	orcid.org/0000-0002-2582-169511	orcid.org/0000-0002-2582-169511	NOUN
bracis-33607	1	133	  	  	SPACE
bracis-33607	1	134	part	part	NOUN
bracis-33607	1	135	of	of	ADP
bracis-33607	1	136	the	the	DET
bracis-33607	1	137	book	book	NOUN
bracis-33607	1	138	series	series	NOUN
bracis-33607	1	139	:	:	PUNCT
bracis-33607	1	140	lecture	lecture	NOUN
bracis-33607	1	141	notes	note	NOUN
bracis-33607	1	142	in	in	ADP
bracis-33607	1	143	computer	computer	NOUN
bracis-33607	1	144	science	science	NOUN
bracis-33607	1	145	(	(	PUNCT
bracis-33607	1	146	(	(	PUNCT
bracis-33607	1	147	lnai	lnai	ADJ
bracis-33607	1	148	,	,	PUNCT
bracis-33607	1	149	volume	volume	NOUN
bracis-33607	1	150	15413	15413	NUM
bracis-33607	1	151	)	)	PUNCT
bracis-33607	1	152	)	)	PUNCT
bracis-33607	1	153	included	include	VERB
bracis-33607	1	154	in	in	ADP
bracis-33607	1	155	the	the	DET
bracis-33607	1	156	following	follow	VERB
bracis-33607	1	157	conference	conference	NOUN
bracis-33607	1	158	series	series	NOUN
bracis-33607	1	159	:	:	PUNCT
bracis-33607	1	160	brazilian	brazilian	ADJ
bracis-33607	1	161	conference	conference	NOUN
bracis-33607	1	162	on	on	ADP
bracis-33607	1	163	intelligent	intelligent	ADJ
bracis-33607	1	164	systems	system	NOUN
bracis-33607	1	165	417	417	NUM
bracis-33607	1	166	accesses	access	NOUN
bracis-33607	1	167	1	1	NUM
bracis-33607	1	168	citation	citation	NOUN
bracis-33607	1	169	abstract	abstract	ADJ
bracis-33607	1	170	protein	protein	NOUN
bracis-33607	1	171	subcellular	subcellular	ADJ
bracis-33607	1	172	localization	localization	NOUN
bracis-33607	1	173	is	be	AUX
bracis-33607	1	174	an	an	DET
bracis-33607	1	175	important	important	ADJ
bracis-33607	1	176	classification	classification	NOUN
bracis-33607	1	177	task	task	NOUN
bracis-33607	1	178	because	because	SCONJ
bracis-33607	1	179	the	the	DET
bracis-33607	1	180	location	location	NOUN
bracis-33607	1	181	of	of	ADP
bracis-33607	1	182	proteins	protein	NOUN
bracis-33607	1	183	in	in	ADP
bracis-33607	1	184	a	a	DET
bracis-33607	1	185	cell	cell	NOUN
bracis-33607	1	186	is	be	AUX
bracis-33607	1	187	directly	directly	ADV
bracis-33607	1	188	linked	link	VERB
bracis-33607	1	189	to	to	ADP
bracis-33607	1	190	their	their	PRON
bracis-33607	1	191	functions	function	NOUN
bracis-33607	1	192	.	.	PUNCT
bracis-33607	2	1	since	since	SCONJ
bracis-33607	2	2	a	a	DET
bracis-33607	2	3	protein	protein	NOUN
bracis-33607	2	4	can	can	AUX
bracis-33607	2	5	act	act	VERB
bracis-33607	2	6	at	at	ADP
bracis-33607	2	7	two	two	NUM
bracis-33607	2	8	or	or	CCONJ
bracis-33607	2	9	more	more	ADJ
bracis-33607	2	10	locations	location	NOUN
bracis-33607	2	11	simultaneously	simultaneously	ADV
bracis-33607	2	12	,	,	PUNCT
bracis-33607	2	13	multi	multi	ADJ
bracis-33607	2	14	-	-	ADJ
bracis-33607	2	15	label	label	ADJ
bracis-33607	2	16	classification	classification	NOUN
bracis-33607	2	17	algorithms	algorithm	NOUN
bracis-33607	2	18	are	be	AUX
bracis-33607	2	19	necessary	necessary	ADJ
bracis-33607	2	20	.	.	PUNCT
bracis-33607	3	1	the	the	DET
bracis-33607	3	2	currently	currently	ADV
bracis-33607	3	3	used	use	VERB
bracis-33607	3	4	algorithms	algorithm	NOUN
bracis-33607	3	5	are	be	AUX
bracis-33607	3	6	usually	usually	ADV
bracis-33607	3	7	based	base	VERB
bracis-33607	3	8	on	on	ADP
bracis-33607	3	9	supervised	supervised	ADJ
bracis-33607	3	10	learning	learning	NOUN
bracis-33607	3	11	,	,	PUNCT
bracis-33607	3	12	which	which	PRON
bracis-33607	3	13	presents	present	VERB
bracis-33607	3	14	some	some	DET
bracis-33607	3	15	disadvantages	disadvantage	NOUN
bracis-33607	3	16	such	such	ADJ
bracis-33607	3	17	as	as	ADP
bracis-33607	3	18	(	(	PUNCT
bracis-33607	3	19	i	i	NOUN
bracis-33607	3	20	)	)	PUNCT
bracis-33607	3	21	a	a	DET
bracis-33607	3	22	need	need	NOUN
bracis-33607	3	23	for	for	ADP
bracis-33607	3	24	a	a	DET
bracis-33607	3	25	large	large	ADJ
bracis-33607	3	26	amount	amount	NOUN
bracis-33607	3	27	of	of	ADP
bracis-33607	3	28	labeled	label	VERB
bracis-33607	3	29	instances	instance	NOUN
bracis-33607	3	30	for	for	ADP
bracis-33607	3	31	training	training	NOUN
bracis-33607	3	32	;	;	PUNCT
bracis-33607	3	33	(	(	PUNCT
bracis-33607	3	34	ii	ii	NOUN
bracis-33607	3	35	)	)	PUNCT
bracis-33607	3	36	a	a	DET
bracis-33607	3	37	waste	waste	NOUN
bracis-33607	3	38	of	of	ADP
bracis-33607	3	39	valuable	valuable	ADJ
bracis-33607	3	40	information	information	NOUN
bracis-33607	3	41	that	that	PRON
bracis-33607	3	42	labeled	label	VERB
bracis-33607	3	43	instances	instance	NOUN
bracis-33607	3	44	can	can	AUX
bracis-33607	3	45	provide	provide	VERB
bracis-33607	3	46	;	;	PUNCT
bracis-33607	3	47	and	and	CCONJ
bracis-33607	3	48	(	(	PUNCT
bracis-33607	3	49	iii	iii	X
bracis-33607	3	50	)	)	PUNCT
bracis-33607	3	51	a	a	DET
bracis-33607	3	52	high	high	ADJ
bracis-33607	3	53	cost	cost	NOUN
bracis-33607	3	54	involved	involve	VERB
bracis-33607	3	55	in	in	ADP
bracis-33607	3	56	obtaining	obtain	VERB
bracis-33607	3	57	labeled	label	VERB
bracis-33607	3	58	instances	instance	NOUN
bracis-33607	3	59	for	for	ADP
bracis-33607	3	60	training	training	NOUN
bracis-33607	3	61	.	.	PUNCT
bracis-33607	4	1	to	to	PART
bracis-33607	4	2	overcome	overcome	VERB
bracis-33607	4	3	these	these	DET
bracis-33607	4	4	disadvantages	disadvantage	NOUN
bracis-33607	4	5	,	,	PUNCT
bracis-33607	4	6	semi	semi	ADJ
bracis-33607	4	7	-	-	ADJ
bracis-33607	4	8	supervised	supervised	ADJ
bracis-33607	4	9	learning	learning	NOUN
bracis-33607	4	10	can	can	AUX
bracis-33607	4	11	be	be	AUX
bracis-33607	4	12	applied	apply	VERB
bracis-33607	4	13	,	,	PUNCT
bracis-33607	4	14	where	where	SCONJ
bracis-33607	4	15	classifiers	classifier	NOUN
bracis-33607	4	16	exploit	exploit	VERB
bracis-33607	4	17	both	both	PRON
bracis-33607	4	18	labeled	label	VERB
bracis-33607	4	19	and	and	CCONJ
bracis-33607	4	20	unlabeled	unlabeled	ADJ
bracis-33607	4	21	data	datum	NOUN
bracis-33607	4	22	.	.	PUNCT
bracis-33607	5	1	thus	thus	ADV
bracis-33607	5	2	,	,	PUNCT
bracis-33607	5	3	in	in	ADP
bracis-33607	5	4	this	this	DET
bracis-33607	5	5	paper	paper	NOUN
bracis-33607	5	6	,	,	PUNCT
bracis-33607	5	7	we	we	PRON
bracis-33607	5	8	propose	propose	VERB
bracis-33607	5	9	a	a	DET
bracis-33607	5	10	new	new	ADJ
bracis-33607	5	11	semi	semi	ADJ
bracis-33607	5	12	-	-	ADJ
bracis-33607	5	13	supervised	supervised	ADJ
bracis-33607	5	14	algorithm	algorithm	NOUN
bracis-33607	5	15	for	for	ADP
bracis-33607	5	16	multi	multi	ADJ
bracis-33607	5	17	-	-	ADJ
bracis-33607	5	18	label	label	ADJ
bracis-33607	5	19	protein	protein	NOUN
bracis-33607	5	20	subcellular	subcellular	ADJ
bracis-33607	5	21	localization	localization	NOUN
bracis-33607	5	22	.	.	PUNCT
bracis-33607	6	1	our	our	PRON
bracis-33607	6	2	proposal	proposal	NOUN
bracis-33607	6	3	is	be	AUX
bracis-33607	6	4	based	base	VERB
bracis-33607	6	5	on	on	ADP
bracis-33607	6	6	decision	decision	NOUN
bracis-33607	6	7	tree	tree	NOUN
bracis-33607	6	8	classifiers	classifier	NOUN
bracis-33607	6	9	induced	induce	VERB
bracis-33607	6	10	using	use	VERB
bracis-33607	6	11	predictive	predictive	ADJ
bracis-33607	6	12	clustering	clustering	ADJ
bracis-33607	6	13	trees	tree	NOUN
bracis-33607	6	14	.	.	PUNCT
bracis-33607	7	1	we	we	PRON
bracis-33607	7	2	investigate	investigate	VERB
bracis-33607	7	3	many	many	ADJ
bracis-33607	7	4	semi	semi	ADJ
bracis-33607	7	5	-	-	ADJ
bracis-33607	7	6	supervised	supervised	ADJ
bracis-33607	7	7	protein	protein	NOUN
bracis-33607	7	8	subcellular	subcellular	ADJ
bracis-33607	7	9	localization	localization	NOUN
bracis-33607	7	10	scenarios	scenario	NOUN
bracis-33607	7	11	to	to	PART
bracis-33607	7	12	test	test	VERB
bracis-33607	7	13	whether	whether	SCONJ
bracis-33607	7	14	unlabeled	unlabele	VERB
bracis-33607	7	15	instances	instance	NOUN
bracis-33607	7	16	can	can	AUX
bracis-33607	7	17	improve	improve	VERB
bracis-33607	7	18	the	the	DET
bracis-33607	7	19	multi	multi	ADJ
bracis-33607	7	20	-	-	ADJ
bracis-33607	7	21	label	label	ADJ
bracis-33607	7	22	classification	classification	NOUN
bracis-33607	7	23	process	process	NOUN
bracis-33607	7	24	.	.	PUNCT
bracis-33607	8	1	our	our	PRON
bracis-33607	8	2	results	result	NOUN
bracis-33607	8	3	show	show	VERB
bracis-33607	8	4	that	that	SCONJ
bracis-33607	8	5	the	the	DET
bracis-33607	8	6	proposal	proposal	NOUN
bracis-33607	8	7	can	can	AUX
bracis-33607	8	8	achieve	achieve	VERB
bracis-33607	8	9	competitive	competitive	ADJ
bracis-33607	8	10	or	or	CCONJ
bracis-33607	8	11	better	well	ADJ
bracis-33607	8	12	results	result	NOUN
bracis-33607	8	13	when	when	SCONJ
bracis-33607	8	14	compared	compare	VERB
bracis-33607	8	15	to	to	ADP
bracis-33607	8	16	the	the	DET
bracis-33607	8	17	pure	pure	ADJ
bracis-33607	8	18	supervised	supervised	ADJ
bracis-33607	8	19	version	version	NOUN
bracis-33607	8	20	of	of	ADP
bracis-33607	8	21	the	the	DET
bracis-33607	8	22	predictive	predictive	ADJ
bracis-33607	8	23	clustering	cluster	VERB
bracis-33607	8	24	trees	tree	NOUN
bracis-33607	8	25	.	.	PUNCT
bracis-33607	9	1	access	access	NOUN
bracis-33607	9	2	provided	provide	VERB
bracis-33607	9	3	by	by	ADP
bracis-33607	9	4	university	university	PROPN
bracis-33607	9	5	of	of	ADP
bracis-33607	9	6	notre	notre	PROPN
bracis-33607	9	7	dame	dame	PROPN
bracis-33607	9	8	hesburgh	hesburgh	PROPN
bracis-33607	9	9	library	library	PROPN
bracis-33607	9	10	.	.	PUNCT
bracis-33607	10	1	download	download	PROPN
bracis-33607	10	2	conference	conference	NOUN
bracis-33607	10	3	paper	paper	NOUN
bracis-33607	10	4	pdf	pdf	NOUN
bracis-33607	10	5	similar	similar	ADJ
bracis-33607	10	6	content	content	NOUN
bracis-33607	10	7	being	be	AUX
bracis-33607	10	8	viewed	view	VERB
bracis-33607	10	9	by	by	ADP
bracis-33607	10	10	others	other	NOUN
bracis-33607	10	11	human	human	ADJ
bracis-33607	10	12	protein	protein	NOUN
bracis-33607	10	13	subcellular	subcellular	ADJ
bracis-33607	10	14	localization	localization	NOUN
bracis-33607	10	15	with	with	ADP
bracis-33607	10	16	integrated	integrate	VERB
bracis-33607	10	17	source	source	NOUN
bracis-33607	10	18	and	and	CCONJ
bracis-33607	10	19	multi	multi	ADJ
bracis-33607	10	20	-	-	ADJ
bracis-33607	10	21	label	label	ADJ
bracis-33607	10	22	ensemble	ensemble	ADJ
bracis-33607	10	23	classifier	classifier	NOUN
bracis-33607	10	24	article	article	NOUN
bracis-33607	10	25	open	open	ADJ
bracis-33607	10	26	access	access	NOUN
bracis-33607	10	27	21	21	NUM
bracis-33607	10	28	june	june	PROPN
bracis-33607	10	29	2016	2016	NUM
bracis-33607	10	30	multiple	multiple	ADJ
bracis-33607	10	31	protein	protein	NOUN
bracis-33607	10	32	subcellular	subcellular	ADJ
bracis-33607	10	33	locations	location	NOUN
bracis-33607	10	34	prediction	prediction	NOUN
bracis-33607	10	35	based	base	VERB
bracis-33607	10	36	on	on	ADP
bracis-33607	10	37	deep	deep	ADJ
bracis-33607	10	38	convolutional	convolutional	ADJ
bracis-33607	10	39	neural	neural	ADJ
bracis-33607	10	40	networks	network	NOUN
bracis-33607	10	41	with	with	ADP
bracis-33607	10	42	self	self	NOUN
bracis-33607	10	43	-	-	PUNCT
bracis-33607	10	44	attention	attention	NOUN
bracis-33607	10	45	mechanism	mechanism	NOUN
bracis-33607	10	46	article	article	NOUN
bracis-33607	10	47	23	23	NUM
bracis-33607	10	48	january	january	PROPN
bracis-33607	10	49	2022	2022	NUM
bracis-33607	10	50	predicting	predict	VERB
bracis-33607	10	51	the	the	DET
bracis-33607	10	52	subcellular	subcellular	ADJ
bracis-33607	10	53	localization	localization	NOUN
bracis-33607	10	54	of	of	ADP
bracis-33607	10	55	multi	multi	ADJ
bracis-33607	10	56	-	-	ADJ
bracis-33607	10	57	site	site	ADJ
bracis-33607	10	58	protein	protein	NOUN
bracis-33607	10	59	based	base	VERB
bracis-33607	10	60	on	on	ADP
bracis-33607	10	61	fusion	fusion	NOUN
bracis-33607	10	62	feature	feature	NOUN
bracis-33607	10	63	and	and	CCONJ
bracis-33607	10	64	multi	multi	ADJ
bracis-33607	10	65	-	-	ADJ
bracis-33607	10	66	label	label	ADJ
bracis-33607	10	67	deep	deep	ADJ
bracis-33607	10	68	forest	forest	NOUN
bracis-33607	10	69	model	model	NOUN
bracis-33607	10	70	chapter	chapter	NOUN
bracis-33607	10	71	©	©	PROPN
bracis-33607	10	72	2022	2022	NUM
bracis-33607	10	73	1	1	NUM
bracis-33607	10	74	introduction	introduction	NOUN
bracis-33607	10	75	determining	determine	VERB
bracis-33607	10	76	the	the	DET
bracis-33607	10	77	protein	protein	NOUN
bracis-33607	10	78	subcellular	subcellular	ADJ
bracis-33607	10	79	localization	localization	NOUN
bracis-33607	10	80	(	(	PUNCT
bracis-33607	10	81	psl	psl	PROPN
bracis-33607	10	82	)	)	PUNCT
bracis-33607	10	83	is	be	AUX
bracis-33607	10	84	a	a	DET
bracis-33607	10	85	crucial	crucial	ADJ
bracis-33607	10	86	process	process	NOUN
bracis-33607	10	87	for	for	ADP
bracis-33607	10	88	deducing	deduce	VERB
bracis-33607	10	89	and	and	CCONJ
bracis-33607	10	90	understanding	understand	VERB
bracis-33607	10	91	protein	protein	NOUN
bracis-33607	10	92	functions	function	NOUN
bracis-33607	10	93	and	and	CCONJ
bracis-33607	10	94	for	for	ADP
bracis-33607	10	95	genome	genome	NOUN
bracis-33607	10	96	annotation	annotation	NOUN
bracis-33607	10	97	 	 	SPACE
bracis-33607	11	1	[	[	X
bracis-33607	11	2	26	26	NUM
bracis-33607	11	3	]	]	PUNCT
bracis-33607	11	4	.	.	PUNCT
bracis-33607	12	1	psl	psl	PROPN
bracis-33607	12	2	is	be	AUX
bracis-33607	12	3	especially	especially	ADV
bracis-33607	12	4	important	important	ADJ
bracis-33607	12	5	in	in	ADP
bracis-33607	12	6	the	the	DET
bracis-33607	12	7	medical	medical	ADJ
bracis-33607	12	8	field	field	NOUN
bracis-33607	12	9	because	because	SCONJ
bracis-33607	12	10	it	it	PRON
bracis-33607	12	11	is	be	AUX
bracis-33607	12	12	fundamental	fundamental	ADJ
bracis-33607	12	13	for	for	ADP
bracis-33607	12	14	discovering	discover	VERB
bracis-33607	12	15	and	and	CCONJ
bracis-33607	12	16	analyzing	analyze	VERB
bracis-33607	12	17	new	new	ADJ
bracis-33607	12	18	kinds	kind	NOUN
bracis-33607	12	19	of	of	ADP
bracis-33607	12	20	medicines	medicine	NOUN
bracis-33607	12	21	 	 	SPACE
bracis-33607	13	1	[	[	X
bracis-33607	13	2	21	21	NUM
bracis-33607	13	3	]	]	PUNCT
bracis-33607	13	4	.	.	PUNCT
bracis-33607	14	1	it	it	PRON
bracis-33607	14	2	can	can	AUX
bracis-33607	14	3	also	also	ADV
bracis-33607	14	4	help	help	VERB
bracis-33607	14	5	to	to	PART
bracis-33607	14	6	identify	identify	VERB
bracis-33607	14	7	some	some	DET
bracis-33607	14	8	diseases	disease	NOUN
bracis-33607	14	9	,	,	PUNCT
bracis-33607	14	10	such	such	ADJ
bracis-33607	14	11	as	as	ADP
bracis-33607	14	12	cancer	cancer	NOUN
bracis-33607	14	13	or	or	CCONJ
bracis-33607	14	14	alzheimer	alzheimer	NOUN
bracis-33607	14	15	,	,	PUNCT
bracis-33607	14	16	due	due	ADP
bracis-33607	14	17	to	to	ADP
bracis-33607	14	18	abnormal	abnormal	ADJ
bracis-33607	14	19	psl	psl	NOUN
bracis-33607	14	20	being	be	AUX
bracis-33607	14	21	correlated	correlate	VERB
bracis-33607	14	22	to	to	ADP
bracis-33607	14	23	these	these	DET
bracis-33607	14	24	diseases	disease	NOUN
bracis-33607	14	25	 	 	SPACE
bracis-33607	15	1	[	[	X
bracis-33607	15	2	9	9	NUM
bracis-33607	15	3	]	]	PUNCT
bracis-33607	15	4	.	.	PUNCT
bracis-33607	16	1	although	although	SCONJ
bracis-33607	16	2	experimental	experimental	ADJ
bracis-33607	16	3	approaches	approach	NOUN
bracis-33607	16	4	are	be	AUX
bracis-33607	16	5	the	the	DET
bracis-33607	16	6	most	most	ADV
bracis-33607	16	7	reliable	reliable	ADJ
bracis-33607	16	8	methods	method	NOUN
bracis-33607	16	9	to	to	PART
bracis-33607	16	10	determine	determine	VERB
bracis-33607	16	11	psl	psl	PROPN
bracis-33607	16	12	,	,	PUNCT
bracis-33607	16	13	they	they	PRON
bracis-33607	16	14	are	be	AUX
bracis-33607	16	15	very	very	ADV
bracis-33607	16	16	costly	costly	ADJ
bracis-33607	16	17	and	and	CCONJ
bracis-33607	16	18	labor	labor	NOUN
bracis-33607	16	19	-	-	PUNCT
bracis-33607	16	20	intensive	intensive	ADJ
bracis-33607	16	21	.	.	PUNCT
bracis-33607	17	1	in	in	ADP
bracis-33607	17	2	recent	recent	ADJ
bracis-33607	17	3	years	year	NOUN
bracis-33607	17	4	,	,	PUNCT
bracis-33607	17	5	with	with	ADP
bracis-33607	17	6	the	the	DET
bracis-33607	17	7	completion	completion	NOUN
bracis-33607	17	8	of	of	ADP
bracis-33607	17	9	many	many	ADJ
bracis-33607	17	10	large	large	ADJ
bracis-33607	17	11	-	-	PUNCT
bracis-33607	17	12	scale	scale	NOUN
bracis-33607	17	13	genomics	genomic	NOUN
bracis-33607	17	14	and	and	CCONJ
bracis-33607	17	15	proteomics	proteomic	NOUN
bracis-33607	17	16	sequencing	sequence	VERB
bracis-33607	17	17	projects	project	NOUN
bracis-33607	17	18	,	,	PUNCT
bracis-33607	17	19	a	a	DET
bracis-33607	17	20	vast	vast	ADJ
bracis-33607	17	21	number	number	NOUN
bracis-33607	17	22	of	of	ADP
bracis-33607	17	23	protein	protein	NOUN
bracis-33607	17	24	sequences	sequence	NOUN
bracis-33607	17	25	have	have	AUX
bracis-33607	17	26	been	be	AUX
bracis-33607	17	27	discovered	discover	VERB
bracis-33607	17	28	,	,	PUNCT
bracis-33607	17	29	making	make	VERB
bracis-33607	17	30	experimental	experimental	ADJ
bracis-33607	17	31	approaches	approach	NOUN
bracis-33607	17	32	even	even	ADV
bracis-33607	17	33	more	more	ADV
bracis-33607	17	34	unfeasible	unfeasible	ADJ
bracis-33607	17	35	.	.	PUNCT
bracis-33607	18	1	thus	thus	ADV
bracis-33607	18	2	,	,	PUNCT
bracis-33607	18	3	machine	machine	NOUN
bracis-33607	18	4	learning	learning	NOUN
bracis-33607	18	5	(	(	PUNCT
bracis-33607	18	6	ml	ml	ADJ
bracis-33607	18	7	)	)	PUNCT
bracis-33607	18	8	computational	computational	ADJ
bracis-33607	18	9	predictors	predictor	NOUN
bracis-33607	18	10	have	have	AUX
bracis-33607	18	11	been	be	AUX
bracis-33607	18	12	used	use	VERB
bracis-33607	18	13	,	,	PUNCT
bracis-33607	18	14	since	since	SCONJ
bracis-33607	18	15	they	they	PRON
bracis-33607	18	16	can	can	AUX
bracis-33607	18	17	handle	handle	VERB
bracis-33607	18	18	this	this	DET
bracis-33607	18	19	problem	problem	NOUN
bracis-33607	18	20	quickly	quickly	ADV
bracis-33607	18	21	and	and	CCONJ
bracis-33607	18	22	accurately	accurately	ADV
bracis-33607	18	23	 	 	SPACE
bracis-33607	19	1	[	[	X
bracis-33607	19	2	1	1	NUM
bracis-33607	19	3	,	,	PUNCT
bracis-33607	19	4	27	27	NUM
bracis-33607	19	5	]	]	PUNCT
bracis-33607	19	6	.	.	PUNCT
bracis-33607	20	1	in	in	ADP
bracis-33607	20	2	addition	addition	NOUN
bracis-33607	20	3	,	,	PUNCT
bracis-33607	20	4	proteins	protein	NOUN
bracis-33607	20	5	can	can	AUX
bracis-33607	20	6	move	move	VERB
bracis-33607	20	7	between	between	ADP
bracis-33607	20	8	two	two	NUM
bracis-33607	20	9	or	or	CCONJ
bracis-33607	20	10	more	more	ADJ
bracis-33607	20	11	locations	location	NOUN
bracis-33607	20	12	within	within	ADP
bracis-33607	20	13	a	a	DET
bracis-33607	20	14	cell	cell	NOUN
bracis-33607	20	15	or	or	CCONJ
bracis-33607	20	16	reside	reside	VERB
bracis-33607	20	17	at	at	ADP
bracis-33607	20	18	more	more	ADJ
bracis-33607	20	19	than	than	ADP
bracis-33607	20	20	one	one	NUM
bracis-33607	20	21	location	location	NOUN
bracis-33607	20	22	simultaneously	simultaneously	ADV
bracis-33607	20	23	.	.	PUNCT
bracis-33607	21	1	thus	thus	ADV
bracis-33607	21	2	,	,	PUNCT
bracis-33607	21	3	multi	multi	ADJ
bracis-33607	21	4	-	-	ADJ
bracis-33607	21	5	label	label	ADJ
bracis-33607	21	6	classification	classification	NOUN
bracis-33607	21	7	methods	method	NOUN
bracis-33607	21	8	have	have	AUX
bracis-33607	21	9	also	also	ADV
bracis-33607	21	10	been	be	AUX
bracis-33607	21	11	developed	develop	VERB
bracis-33607	21	12	to	to	PART
bracis-33607	21	13	deal	deal	VERB
bracis-33607	21	14	with	with	ADP
bracis-33607	21	15	psl	psl	PROPN
bracis-33607	21	16	problems	problem	NOUN
bracis-33607	21	17	 	 	SPACE
bracis-33607	22	1	[	[	X
bracis-33607	22	2	12	12	NUM
bracis-33607	22	3	,	,	PUNCT
bracis-33607	22	4	29	29	NUM
bracis-33607	22	5	,	,	PUNCT
bracis-33607	22	6	33	33	NUM
bracis-33607	22	7	,	,	PUNCT
bracis-33607	22	8	36	36	NUM
bracis-33607	22	9	]	]	PUNCT
bracis-33607	22	10	.	.	PUNCT
bracis-33607	23	1	all	all	DET
bracis-33607	23	2	these	these	DET
bracis-33607	23	3	methods	method	NOUN
bracis-33607	23	4	use	use	VERB
bracis-33607	23	5	training	training	NOUN
bracis-33607	23	6	and	and	CCONJ
bracis-33607	23	7	test	test	NOUN
bracis-33607	23	8	datasets	dataset	NOUN
bracis-33607	23	9	normally	normally	ADV
bracis-33607	23	10	acquired	acquire	VERB
bracis-33607	23	11	only	only	ADV
bracis-33607	23	12	from	from	ADP
bracis-33607	23	13	proteins	protein	NOUN
bracis-33607	23	14	whose	whose	DET
bracis-33607	23	15	localizations	localization	NOUN
bracis-33607	23	16	were	be	AUX
bracis-33607	23	17	experimentally	experimentally	ADV
bracis-33607	23	18	defined	define	VERB
bracis-33607	23	19	,	,	PUNCT
bracis-33607	23	20	referred	refer	VERB
bracis-33607	23	21	to	to	ADP
bracis-33607	23	22	as	as	ADP
bracis-33607	23	23	labeled	label	VERB
bracis-33607	23	24	proteins	protein	NOUN
bracis-33607	23	25	(	(	PUNCT
bracis-33607	23	26	lps	lps	PROPN
bracis-33607	23	27	)	)	PUNCT
bracis-33607	23	28	 	 	SPACE
bracis-33607	24	1	[	[	X
bracis-33607	24	2	6	6	NUM
bracis-33607	24	3	]	]	PUNCT
bracis-33607	24	4	.	.	PUNCT
bracis-33607	25	1	although	although	SCONJ
bracis-33607	25	2	using	use	VERB
bracis-33607	25	3	only	only	ADV
bracis-33607	25	4	lps	lps	PROPN
bracis-33607	25	5	is	be	AUX
bracis-33607	25	6	a	a	DET
bracis-33607	25	7	well	well	ADV
bracis-33607	25	8	-	-	PUNCT
bracis-33607	25	9	established	establish	VERB
bracis-33607	25	10	method	method	NOUN
bracis-33607	25	11	in	in	ADP
bracis-33607	25	12	the	the	DET
bracis-33607	25	13	literature	literature	NOUN
bracis-33607	25	14	,	,	PUNCT
bracis-33607	25	15	it	it	PRON
bracis-33607	25	16	presents	present	VERB
bracis-33607	25	17	some	some	DET
bracis-33607	25	18	disadvantages	disadvantage	NOUN
bracis-33607	25	19	:	:	PUNCT
bracis-33607	25	20	(	(	PUNCT
bracis-33607	25	21	i	i	NOUN
bracis-33607	25	22	)	)	PUNCT
bracis-33607	25	23	lps	lps	PROPN
bracis-33607	25	24	are	be	AUX
bracis-33607	25	25	hard	hard	ADJ
bracis-33607	25	26	to	to	PART
bracis-33607	25	27	obtain	obtain	VERB
bracis-33607	25	28	because	because	SCONJ
bracis-33607	25	29	they	they	PRON
bracis-33607	25	30	need	need	VERB
bracis-33607	25	31	to	to	PART
bracis-33607	25	32	be	be	AUX
bracis-33607	25	33	annotated	annotate	VERB
bracis-33607	25	34	with	with	ADP
bracis-33607	25	35	experimental	experimental	ADJ
bracis-33607	25	36	approaches	approach	NOUN
bracis-33607	25	37	,	,	PUNCT
bracis-33607	25	38	which	which	PRON
bracis-33607	25	39	,	,	PUNCT
bracis-33607	25	40	are	be	AUX
bracis-33607	25	41	labor	labor	NOUN
bracis-33607	25	42	-	-	PUNCT
bracis-33607	25	43	intensive	intensive	ADJ
bracis-33607	25	44	and	and	CCONJ
bracis-33607	25	45	time	time	NOUN
bracis-33607	25	46	-	-	PUNCT
bracis-33607	25	47	consuming	consume	VERB
bracis-33607	25	48	;	;	PUNCT
bracis-33607	25	49	(	(	PUNCT
bracis-33607	25	50	ii	ii	X
bracis-33607	25	51	)	)	PUNCT
bracis-33607	25	52	these	these	DET
bracis-33607	25	53	experimental	experimental	ADJ
bracis-33607	25	54	protein	protein	NOUN
bracis-33607	25	55	sequences	sequence	NOUN
bracis-33607	25	56	are	be	AUX
bracis-33607	25	57	just	just	ADV
bracis-33607	25	58	a	a	DET
bracis-33607	25	59	small	small	ADJ
bracis-33607	25	60	part	part	NOUN
bracis-33607	25	61	of	of	ADP
bracis-33607	25	62	the	the	DET
bracis-33607	25	63	overall	overall	ADJ
bracis-33607	25	64	sequences	sequence	NOUN
bracis-33607	25	65	in	in	ADP
bracis-33607	25	66	the	the	DET
bracis-33607	25	67	knowledge	knowledge	NOUN
bracis-33607	25	68	bases	basis	NOUN
bracis-33607	25	69	 	 	SPACE
bracis-33607	26	1	[	[	X
bracis-33607	26	2	6	6	NUM
bracis-33607	26	3	,	,	PUNCT
bracis-33607	26	4	35	35	NUM
bracis-33607	26	5	]	]	PUNCT
bracis-33607	26	6	.	.	PUNCT
bracis-33607	27	1	about	about	ADP
bracis-33607	27	2	only	only	ADV
bracis-33607	27	3	5.5	5.5	NUM
bracis-33607	27	4	%	%	NOUN
bracis-33607	27	5	of	of	ADP
bracis-33607	27	6	all	all	DET
bracis-33607	27	7	instances	instance	NOUN
bracis-33607	27	8	in	in	ADP
bracis-33607	27	9	uniprotkb	uniprotkb	NOUN
bracis-33607	27	10	/	/	SYM
bracis-33607	27	11	swiss	swiss	ADJ
bracis-33607	27	12	-	-	PUNCT
bracis-33607	27	13	prot	prot	NOUN
bracis-33607	27	14	are	be	AUX
bracis-33607	27	15	lps	lps	PROPN
bracis-33607	27	16	;	;	PUNCT
bracis-33607	27	17	and	and	CCONJ
bracis-33607	27	18	(	(	PUNCT
bracis-33607	27	19	iii	iii	NOUN
bracis-33607	27	20	)	)	PUNCT
bracis-33607	27	21	normally	normally	ADV
bracis-33607	27	22	not	not	PART
bracis-33607	27	23	all	all	DET
bracis-33607	27	24	lps	lps	PROPN
bracis-33607	27	25	retrieved	retrieve	VERB
bracis-33607	27	26	from	from	ADP
bracis-33607	27	27	the	the	DET
bracis-33607	27	28	knowledge	knowledge	NOUN
bracis-33607	27	29	bases	basis	NOUN
bracis-33607	27	30	are	be	AUX
bracis-33607	27	31	used	use	VERB
bracis-33607	27	32	because	because	SCONJ
bracis-33607	27	33	some	some	PRON
bracis-33607	27	34	of	of	ADP
bracis-33607	27	35	them	they	PRON
bracis-33607	27	36	are	be	AUX
bracis-33607	27	37	homologous	homologous	ADJ
bracis-33607	27	38	or	or	CCONJ
bracis-33607	27	39	similar	similar	ADJ
bracis-33607	27	40	proteins	protein	NOUN
bracis-33607	27	41	to	to	ADP
bracis-33607	27	42	each	each	DET
bracis-33607	27	43	other	other	ADJ
bracis-33607	27	44	.	.	PUNCT
bracis-33607	28	1	this	this	PRON
bracis-33607	28	2	may	may	AUX
bracis-33607	28	3	cause	cause	VERB
bracis-33607	28	4	overfitting	overfitting	NOUN
bracis-33607	28	5	,	,	PUNCT
bracis-33607	28	6	by	by	ADP
bracis-33607	28	7	the	the	DET
bracis-33607	28	8	use	use	NOUN
bracis-33607	28	9	of	of	ADP
bracis-33607	28	10	models	model	NOUN
bracis-33607	28	11	or	or	CCONJ
bracis-33607	28	12	procedures	procedure	NOUN
bracis-33607	28	13	that	that	PRON
bracis-33607	28	14	include	include	VERB
bracis-33607	28	15	more	more	ADJ
bracis-33607	28	16	terms	term	NOUN
bracis-33607	28	17	than	than	SCONJ
bracis-33607	28	18	are	be	AUX
bracis-33607	28	19	necessary	necessary	ADJ
bracis-33607	28	20	or	or	CCONJ
bracis-33607	28	21	use	use	VERB
bracis-33607	28	22	more	more	ADV
bracis-33607	28	23	complicated	complicated	ADJ
bracis-33607	28	24	approaches	approach	NOUN
bracis-33607	28	25	than	than	SCONJ
bracis-33607	28	26	are	be	AUX
bracis-33607	28	27	necessary	necessary	ADJ
bracis-33607	28	28	 	 	SPACE
bracis-33607	29	1	[	[	X
bracis-33607	29	2	14	14	NUM
bracis-33607	29	3	]	]	PUNCT
bracis-33607	29	4	.	.	PUNCT
bracis-33607	30	1	this	this	DET
bracis-33607	30	2	problem	problem	NOUN
bracis-33607	30	3	is	be	AUX
bracis-33607	30	4	undesirable	undesirable	ADJ
bracis-33607	30	5	because	because	SCONJ
bracis-33607	30	6	it	it	PRON
bracis-33607	30	7	leads	lead	VERB
bracis-33607	30	8	to	to	ADP
bracis-33607	30	9	models	model	NOUN
bracis-33607	30	10	that	that	PRON
bracis-33607	30	11	adjust	adjust	VERB
bracis-33607	30	12	themselves	themselves	PRON
bracis-33607	30	13	really	really	ADV
bracis-33607	30	14	well	well	ADV
bracis-33607	30	15	to	to	ADP
bracis-33607	30	16	a	a	DET
bracis-33607	30	17	particular	particular	ADJ
bracis-33607	30	18	set	set	NOUN
bracis-33607	30	19	of	of	ADP
bracis-33607	30	20	data	datum	NOUN
bracis-33607	30	21	but	but	CCONJ
bracis-33607	30	22	fail	fail	VERB
bracis-33607	30	23	to	to	PART
bracis-33607	30	24	fit	fit	VERB
bracis-33607	30	25	additional	additional	ADJ
bracis-33607	30	26	data	datum	NOUN
bracis-33607	30	27	or	or	CCONJ
bracis-33607	30	28	predict	predict	VERB
bracis-33607	30	29	future	future	ADJ
bracis-33607	30	30	observations	observation	NOUN
bracis-33607	30	31	reliably	reliably	ADV
bracis-33607	30	32	,	,	PUNCT
bracis-33607	30	33	therefore	therefore	ADV
bracis-33607	30	34	creating	create	VERB
bracis-33607	30	35	weaker	weak	ADJ
bracis-33607	30	36	classifiers	classifier	NOUN
bracis-33607	30	37	 	 	SPACE
bracis-33607	31	1	[	[	X
bracis-33607	31	2	6	6	NUM
bracis-33607	31	3	,	,	PUNCT
bracis-33607	31	4	35	35	NUM
bracis-33607	31	5	]	]	PUNCT
bracis-33607	31	6	.	.	PUNCT
bracis-33607	32	1	usually	usually	ADV
bracis-33607	32	2	,	,	PUNCT
bracis-33607	32	3	most	most	ADJ
bracis-33607	32	4	works	work	VERB
bracis-33607	32	5	in	in	ADP
bracis-33607	32	6	the	the	DET
bracis-33607	32	7	literature	literature	NOUN
bracis-33607	32	8	use	use	NOUN
bracis-33607	32	9	supervised	supervise	VERB
bracis-33607	32	10	ml	ml	NOUN
bracis-33607	32	11	to	to	PART
bracis-33607	32	12	deal	deal	VERB
bracis-33607	32	13	with	with	ADP
bracis-33607	32	14	psl	psl	PROPN
bracis-33607	32	15	.	.	PUNCT
bracis-33607	33	1	therefore	therefore	ADV
bracis-33607	33	2	,	,	PUNCT
bracis-33607	33	3	these	these	PRON
bracis-33607	33	4	works	work	VERB
bracis-33607	33	5	disregard	disregard	ADJ
bracis-33607	33	6	proteins	protein	NOUN
bracis-33607	33	7	whose	whose	DET
bracis-33607	33	8	localizations	localization	NOUN
bracis-33607	33	9	are	be	AUX
bracis-33607	33	10	missing	miss	VERB
bracis-33607	33	11	,	,	PUNCT
bracis-33607	33	12	referred	refer	VERB
bracis-33607	33	13	to	to	ADP
bracis-33607	33	14	as	as	ADP
bracis-33607	33	15	not	not	PART
bracis-33607	33	16	labeled	label	VERB
bracis-33607	33	17	proteins	protein	NOUN
bracis-33607	33	18	(	(	PUNCT
bracis-33607	33	19	nlps	nlp	NOUN
bracis-33607	33	20	)	)	PUNCT
bracis-33607	33	21	.	.	PUNCT
bracis-33607	34	1	however	however	ADV
bracis-33607	34	2	,	,	PUNCT
bracis-33607	34	3	the	the	DET
bracis-33607	34	4	small	small	ADJ
bracis-33607	34	5	number	number	NOUN
bracis-33607	34	6	of	of	ADP
bracis-33607	34	7	available	available	ADJ
bracis-33607	34	8	labeled	label	VERB
bracis-33607	34	9	proteins	protein	NOUN
bracis-33607	34	10	can	can	AUX
bracis-33607	34	11	lead	lead	VERB
bracis-33607	34	12	to	to	ADP
bracis-33607	34	13	datasets	dataset	NOUN
bracis-33607	34	14	with	with	ADP
bracis-33607	34	15	an	an	DET
bracis-33607	34	16	insufficient	insufficient	ADJ
bracis-33607	34	17	number	number	NOUN
bracis-33607	34	18	of	of	ADP
bracis-33607	34	19	instances	instance	NOUN
bracis-33607	34	20	.	.	PUNCT
bracis-33607	35	1	as	as	ADP
bracis-33607	35	2	an	an	DET
bracis-33607	35	3	example	example	NOUN
bracis-33607	35	4	,	,	PUNCT
bracis-33607	35	5	this	this	PRON
bracis-33607	35	6	is	be	AUX
bracis-33607	35	7	the	the	DET
bracis-33607	35	8	case	case	NOUN
bracis-33607	35	9	of	of	ADP
bracis-33607	35	10	the	the	DET
bracis-33607	35	11	virus	virus	NOUN
bracis-33607	35	12	benchmark	benchmark	NOUN
bracis-33607	35	13	dataset	dataset	NOUN
bracis-33607	35	14	used	use	VERB
bracis-33607	35	15	in	in	ADP
bracis-33607	35	16	the	the	DET
bracis-33607	35	17	works	work	NOUN
bracis-33607	35	18	of	of	ADP
bracis-33607	35	19	wan	wan	PROPN
bracis-33607	35	20	et	et	PROPN
bracis-33607	35	21	al	al	PROPN
bracis-33607	35	22	.	.	PUNCT
bracis-33607	36	1	[	[	X
bracis-33607	36	2	33	33	NUM
bracis-33607	36	3	]	]	PUNCT
bracis-33607	36	4	and	and	CCONJ
bracis-33607	36	5	shen	shen	NOUN
bracis-33607	36	6	and	and	CCONJ
bracis-33607	36	7	chou	chou	PROPN
bracis-33607	37	1	[	[	X
bracis-33607	37	2	23	23	NUM
bracis-33607	37	3	]	]	PUNCT
bracis-33607	37	4	,	,	PUNCT
bracis-33607	37	5	which	which	PRON
bracis-33607	37	6	has	have	VERB
bracis-33607	37	7	only	only	ADV
bracis-33607	37	8	207	207	NUM
bracis-33607	37	9	proteins	protein	NOUN
bracis-33607	37	10	,	,	PUNCT
bracis-33607	37	11	only	only	ADV
bracis-33607	37	12	8	8	NUM
bracis-33607	37	13	of	of	ADP
bracis-33607	37	14	them	they	PRON
bracis-33607	37	15	located	locate	VERB
bracis-33607	37	16	in	in	ADP
bracis-33607	37	17	the	the	DET
bracis-33607	37	18	“	"	PUNCT
bracis-33607	37	19	viral	viral	ADJ
bracis-33607	37	20	 	 	SPACE
bracis-33607	37	21	capsid	capsid	NOUN
bracis-33607	37	22	”	"	PUNCT
bracis-33607	37	23	.	.	PUNCT
bracis-33607	38	1	supervised	supervised	ADJ
bracis-33607	38	2	methods	method	NOUN
bracis-33607	38	3	ignore	ignore	VERB
bracis-33607	38	4	the	the	DET
bracis-33607	38	5	fact	fact	NOUN
bracis-33607	38	6	that	that	SCONJ
bracis-33607	38	7	nlps	nlp	VERB
bracis-33607	38	8	can	can	AUX
bracis-33607	38	9	provide	provide	VERB
bracis-33607	38	10	valuable	valuable	ADJ
bracis-33607	38	11	information	information	NOUN
bracis-33607	38	12	for	for	ADP
bracis-33607	38	13	the	the	DET
bracis-33607	38	14	classification	classification	NOUN
bracis-33607	38	15	.	.	PUNCT
bracis-33607	39	1	for	for	ADP
bracis-33607	39	2	example	example	NOUN
bracis-33607	39	3	,	,	PUNCT
bracis-33607	39	4	they	they	PRON
bracis-33607	39	5	contain	contain	VERB
bracis-33607	39	6	information	information	NOUN
bracis-33607	39	7	about	about	ADP
bracis-33607	39	8	the	the	DET
bracis-33607	39	9	joint	joint	ADJ
bracis-33607	39	10	probability	probability	NOUN
bracis-33607	39	11	distribution	distribution	NOUN
bracis-33607	39	12	over	over	ADP
bracis-33607	39	13	sequence	sequence	NOUN
bracis-33607	39	14	elements	element	NOUN
bracis-33607	39	15	 	 	SPACE
bracis-33607	40	1	[	[	X
bracis-33607	40	2	7	7	NUM
bracis-33607	40	3	,	,	PUNCT
bracis-33607	40	4	35	35	NUM
bracis-33607	40	5	]	]	PUNCT
bracis-33607	40	6	.	.	PUNCT
bracis-33607	41	1	in	in	ADP
bracis-33607	41	2	situations	situation	NOUN
bracis-33607	41	3	where	where	SCONJ
bracis-33607	41	4	there	there	PRON
bracis-33607	41	5	is	be	VERB
bracis-33607	41	6	a	a	DET
bracis-33607	41	7	large	large	ADJ
bracis-33607	41	8	amount	amount	NOUN
bracis-33607	41	9	of	of	ADP
bracis-33607	41	10	unlabeled	unlabeled	ADJ
bracis-33607	41	11	data	datum	NOUN
bracis-33607	41	12	,	,	PUNCT
bracis-33607	41	13	and	and	CCONJ
bracis-33607	41	14	the	the	DET
bracis-33607	41	15	economical	economical	ADJ
bracis-33607	41	16	commitment	commitment	NOUN
bracis-33607	41	17	necessary	necessary	ADJ
bracis-33607	41	18	to	to	PART
bracis-33607	41	19	label	label	VERB
bracis-33607	41	20	them	they	PRON
bracis-33607	41	21	all	all	PRON
bracis-33607	41	22	is	be	AUX
bracis-33607	41	23	not	not	PART
bracis-33607	41	24	affordable	affordable	ADJ
bracis-33607	41	25	,	,	PUNCT
bracis-33607	41	26	semi	semi	ADJ
bracis-33607	41	27	-	-	ADJ
bracis-33607	41	28	supervised	supervised	ADJ
bracis-33607	41	29	learning	learning	NOUN
bracis-33607	41	30	(	(	PUNCT
bracis-33607	41	31	ssl	ssl	ADJ
bracis-33607	41	32	)	)	PUNCT
bracis-33607	42	1	[	[	X
bracis-33607	42	2	30	30	NUM
bracis-33607	42	3	]	]	PUNCT
bracis-33607	42	4	provides	provide	VERB
bracis-33607	42	5	strategies	strategy	NOUN
bracis-33607	42	6	to	to	PART
bracis-33607	42	7	overcome	overcome	VERB
bracis-33607	42	8	these	these	DET
bracis-33607	42	9	limitations	limitation	NOUN
bracis-33607	42	10	.	.	PUNCT
bracis-33607	43	1	ssl	ssl	PROPN
bracis-33607	43	2	is	be	AUX
bracis-33607	43	3	a	a	DET
bracis-33607	43	4	learning	learning	NOUN
bracis-33607	43	5	paradigm	paradigm	NOUN
bracis-33607	43	6	focused	focus	VERB
bracis-33607	43	7	on	on	ADP
bracis-33607	43	8	learning	learn	VERB
bracis-33607	43	9	from	from	ADP
bracis-33607	43	10	both	both	DET
bracis-33607	43	11	labeled	label	VERB
bracis-33607	43	12	and	and	CCONJ
bracis-33607	43	13	unlabeled	unlabeled	ADJ
bracis-33607	43	14	data	datum	NOUN
bracis-33607	43	15	,	,	PUNCT
bracis-33607	43	16	mainly	mainly	ADV
bracis-33607	43	17	centered	center	VERB
bracis-33607	43	18	on	on	ADP
bracis-33607	43	19	addressing	address	VERB
bracis-33607	43	20	problems	problem	NOUN
bracis-33607	43	21	where	where	SCONJ
bracis-33607	43	22	labeled	label	VERB
bracis-33607	43	23	data	datum	NOUN
bracis-33607	43	24	is	be	AUX
bracis-33607	43	25	hard	hard	ADJ
bracis-33607	43	26	to	to	PART
bracis-33607	43	27	obtain	obtain	VERB
bracis-33607	43	28	,	,	PUNCT
bracis-33607	43	29	and	and	CCONJ
bracis-33607	43	30	unlabeled	unlabele	VERB
bracis-33607	43	31	data	datum	NOUN
bracis-33607	43	32	is	be	AUX
bracis-33607	43	33	abundant	abundant	ADJ
bracis-33607	43	34	.	.	PUNCT
bracis-33607	44	1	the	the	DET
bracis-33607	44	2	main	main	ADJ
bracis-33607	44	3	advantage	advantage	NOUN
bracis-33607	44	4	of	of	ADP
bracis-33607	44	5	using	use	VERB
bracis-33607	44	6	learning	learn	VERB
bracis-33607	44	7	strategies	strategy	NOUN
bracis-33607	44	8	that	that	PRON
bracis-33607	44	9	take	take	VERB
bracis-33607	44	10	advantage	advantage	NOUN
bracis-33607	44	11	of	of	ADP
bracis-33607	44	12	unlabeled	unlabeled	ADJ
bracis-33607	44	13	data	datum	NOUN
bracis-33607	44	14	for	for	ADP
bracis-33607	44	15	psl	psl	PROPN
bracis-33607	44	16	prediction	prediction	NOUN
bracis-33607	44	17	is	be	AUX
bracis-33607	44	18	that	that	SCONJ
bracis-33607	44	19	we	we	PRON
bracis-33607	44	20	can	can	AUX
bracis-33607	44	21	construct	construct	VERB
bracis-33607	44	22	reliable	reliable	ADJ
bracis-33607	44	23	classifiers	classifier	NOUN
bracis-33607	44	24	to	to	PART
bracis-33607	44	25	predict	predict	VERB
bracis-33607	44	26	the	the	DET
bracis-33607	44	27	psl	psl	PROPN
bracis-33607	44	28	of	of	ADP
bracis-33607	44	29	organisms	organism	NOUN
bracis-33607	44	30	or	or	CCONJ
bracis-33607	44	31	groups	group	NOUN
bracis-33607	44	32	of	of	ADP
bracis-33607	44	33	organisms	organism	NOUN
bracis-33607	44	34	with	with	ADP
bracis-33607	44	35	very	very	ADV
bracis-33607	44	36	few	few	ADJ
bracis-33607	44	37	labeled	label	VERB
bracis-33607	44	38	instances	instance	NOUN
bracis-33607	44	39	.	.	PUNCT
bracis-33607	45	1	this	this	PRON
bracis-33607	45	2	is	be	AUX
bracis-33607	45	3	the	the	DET
bracis-33607	45	4	case	case	NOUN
bracis-33607	45	5	,	,	PUNCT
bracis-33607	45	6	for	for	ADP
bracis-33607	45	7	example	example	NOUN
bracis-33607	45	8	,	,	PUNCT
bracis-33607	45	9	of	of	ADP
bracis-33607	45	10	domains	domain	NOUN
bracis-33607	45	11	such	such	ADJ
bracis-33607	45	12	as	as	ADP
bracis-33607	45	13	archaea	archaea	ADJ
bracis-33607	45	14	and	and	CCONJ
bracis-33607	45	15	bacteria	bacteria	NOUN
bracis-33607	45	16	,	,	PUNCT
bracis-33607	45	17	groups	group	NOUN
bracis-33607	45	18	of	of	ADP
bracis-33607	45	19	organisms	organism	NOUN
bracis-33607	45	20	such	such	ADJ
bracis-33607	45	21	as	as	ADP
bracis-33607	45	22	alveolata	alveolata	NOUN
bracis-33607	45	23	and	and	CCONJ
bracis-33607	45	24	amoebozoa	amoebozoa	NOUN
bracis-33607	45	25	and	and	CCONJ
bracis-33607	45	26	viruses	virus	NOUN
bracis-33607	45	27	.	.	PUNCT
bracis-33607	46	1	as	as	ADP
bracis-33607	46	2	an	an	DET
bracis-33607	46	3	example	example	NOUN
bracis-33607	46	4	,	,	PUNCT
bracis-33607	46	5	table	table	NOUN
bracis-33607	46	6	 	 	SPACE
bracis-33607	46	7	1	1	NUM
bracis-33607	46	8	presents	present	VERB
bracis-33607	46	9	the	the	DET
bracis-33607	46	10	number	number	NOUN
bracis-33607	46	11	of	of	ADP
bracis-33607	46	12	lp	lp	ADJ
bracis-33607	46	13	and	and	CCONJ
bracis-33607	46	14	nlp	nlp	ADJ
bracis-33607	46	15	proteins	protein	NOUN
bracis-33607	46	16	of	of	ADP
bracis-33607	46	17	some	some	DET
bracis-33607	46	18	domains	domain	NOUN
bracis-33607	46	19	and	and	CCONJ
bracis-33607	46	20	groups	group	NOUN
bracis-33607	46	21	of	of	ADP
bracis-33607	46	22	organisms	organism	NOUN
bracis-33607	46	23	in	in	ADP
bracis-33607	46	24	the	the	DET
bracis-33607	46	25	uniprotkb	uniprotkb	NOUN
bracis-33607	46	26	/	/	SYM
bracis-33607	46	27	swiss	swiss	ADJ
bracis-33607	46	28	-	-	PUNCT
bracis-33607	46	29	prot	prot	NOUN
bracis-33607	46	30	in	in	ADP
bracis-33607	46	31	the	the	DET
bracis-33607	46	32	2021_03	2021_03	NUM
bracis-33607	46	33	releasefootnote	releasefootnote	NOUN
bracis-33607	46	34	1	1	NUM
bracis-33607	46	35	.	.	PUNCT
bracis-33607	46	36	table	table	NOUN
bracis-33607	46	37	1	1	NUM
bracis-33607	46	38	.	.	PUNCT
bracis-33607	46	39	comparison	comparison	NOUN
bracis-33607	46	40	between	between	ADP
bracis-33607	46	41	lps	lps	PROPN
bracis-33607	46	42	and	and	CCONJ
bracis-33607	46	43	nlps	nlp	VERB
bracis-33607	46	44	in	in	ADP
bracis-33607	46	45	uniprotkb	uniprotkb	NOUN
bracis-33607	46	46	/	/	SYM
bracis-33607	46	47	swiss	swiss	ADJ
bracis-33607	46	48	-	-	PUNCT
bracis-33607	46	49	protfull	protfull	ADJ
bracis-33607	46	50	size	size	NOUN
bracis-33607	46	51	table	table	NOUN
bracis-33607	46	52	in	in	ADP
bracis-33607	46	53	this	this	DET
bracis-33607	46	54	paper	paper	NOUN
bracis-33607	46	55	,	,	PUNCT
bracis-33607	46	56	we	we	PRON
bracis-33607	46	57	propose	propose	VERB
bracis-33607	46	58	a	a	DET
bracis-33607	46	59	semi	semi	ADJ
bracis-33607	46	60	-	-	ADJ
bracis-33607	46	61	supervised	supervised	ADJ
bracis-33607	46	62	multi	multi	ADJ
bracis-33607	46	63	-	-	ADJ
bracis-33607	46	64	label	label	ADJ
bracis-33607	46	65	method	method	NOUN
bracis-33607	46	66	based	base	VERB
bracis-33607	46	67	on	on	ADP
bracis-33607	46	68	the	the	DET
bracis-33607	46	69	concept	concept	NOUN
bracis-33607	46	70	of	of	ADP
bracis-33607	46	71	predictive	predictive	ADJ
bracis-33607	46	72	clustering	clustering	NOUN
bracis-33607	46	73	trees	tree	NOUN
bracis-33607	46	74	(	(	PUNCT
bracis-33607	46	75	pct	pct	NOUN
bracis-33607	46	76	)	)	PUNCT
bracis-33607	46	77	,	,	PUNCT
bracis-33607	46	78	a	a	DET
bracis-33607	46	79	decision	decision	NOUN
bracis-33607	46	80	tree	tree	NOUN
bracis-33607	46	81	induction	induction	NOUN
bracis-33607	46	82	algorithm	algorithm	NOUN
bracis-33607	46	83	well	well	ADV
bracis-33607	46	84	-	-	PUNCT
bracis-33607	46	85	established	establish	VERB
bracis-33607	46	86	in	in	ADP
bracis-33607	46	87	the	the	DET
bracis-33607	46	88	multi	multi	ADJ
bracis-33607	46	89	-	-	ADJ
bracis-33607	46	90	label	label	ADJ
bracis-33607	46	91	classification	classification	NOUN
bracis-33607	46	92	literature	literature	NOUN
bracis-33607	46	93	 	 	SPACE
bracis-33607	47	1	[	[	X
bracis-33607	47	2	32	32	NUM
bracis-33607	47	3	]	]	PUNCT
bracis-33607	47	4	.	.	PUNCT
bracis-33607	48	1	we	we	PRON
bracis-33607	48	2	investigate	investigate	VERB
bracis-33607	48	3	many	many	ADJ
bracis-33607	48	4	semi	semi	ADJ
bracis-33607	48	5	-	-	ADJ
bracis-33607	48	6	supervised	supervised	ADJ
bracis-33607	48	7	protein	protein	NOUN
bracis-33607	48	8	subcellular	subcellular	ADJ
bracis-33607	48	9	localization	localization	NOUN
bracis-33607	48	10	scenarios	scenario	NOUN
bracis-33607	48	11	in	in	ADP
bracis-33607	48	12	datasets	dataset	NOUN
bracis-33607	48	13	related	relate	VERB
bracis-33607	48	14	to	to	ADP
bracis-33607	48	15	fungus	fungus	NOUN
bracis-33607	48	16	,	,	PUNCT
bracis-33607	48	17	viruses	virus	NOUN
bracis-33607	48	18	,	,	PUNCT
bracis-33607	48	19	and	and	CCONJ
bracis-33607	48	20	plants	plant	NOUN
bracis-33607	48	21	in	in	ADP
bracis-33607	48	22	order	order	NOUN
bracis-33607	48	23	to	to	PART
bracis-33607	48	24	test	test	VERB
bracis-33607	48	25	whether	whether	SCONJ
bracis-33607	48	26	unlabeled	unlabele	VERB
bracis-33607	48	27	instances	instance	NOUN
bracis-33607	48	28	can	can	AUX
bracis-33607	48	29	improve	improve	VERB
bracis-33607	48	30	the	the	DET
bracis-33607	48	31	multi	multi	ADJ
bracis-33607	48	32	-	-	ADJ
bracis-33607	48	33	label	label	ADJ
bracis-33607	48	34	prediction	prediction	NOUN
bracis-33607	48	35	of	of	ADP
bracis-33607	48	36	protein	protein	NOUN
bracis-33607	48	37	subcellular	subcellular	ADJ
bracis-33607	48	38	localization	localization	NOUN
bracis-33607	48	39	.	.	PUNCT
bracis-33607	49	1	our	our	PRON
bracis-33607	49	2	results	result	NOUN
bracis-33607	49	3	show	show	VERB
bracis-33607	49	4	that	that	SCONJ
bracis-33607	49	5	the	the	DET
bracis-33607	49	6	proposal	proposal	NOUN
bracis-33607	49	7	can	can	AUX
bracis-33607	49	8	achieve	achieve	VERB
bracis-33607	49	9	competitive	competitive	ADJ
bracis-33607	49	10	or	or	CCONJ
bracis-33607	49	11	better	well	ADJ
bracis-33607	49	12	results	result	NOUN
bracis-33607	49	13	when	when	SCONJ
bracis-33607	49	14	compared	compare	VERB
bracis-33607	49	15	to	to	ADP
bracis-33607	49	16	the	the	DET
bracis-33607	49	17	original	original	ADJ
bracis-33607	49	18	pure	pure	ADJ
bracis-33607	49	19	supervised	supervised	ADJ
bracis-33607	49	20	version	version	NOUN
bracis-33607	49	21	of	of	ADP
bracis-33607	49	22	the	the	DET
bracis-33607	49	23	predictive	predictive	ADJ
bracis-33607	49	24	clustering	cluster	VERB
bracis-33607	49	25	trees	tree	NOUN
bracis-33607	49	26	algorithm	algorithm	NOUN
bracis-33607	49	27	.	.	PUNCT
bracis-33607	50	1	the	the	DET
bracis-33607	50	2	remainder	remainder	NOUN
bracis-33607	50	3	of	of	ADP
bracis-33607	50	4	this	this	DET
bracis-33607	50	5	paper	paper	NOUN
bracis-33607	50	6	is	be	AUX
bracis-33607	50	7	organized	organize	VERB
bracis-33607	50	8	as	as	SCONJ
bracis-33607	50	9	follows	follow	VERB
bracis-33607	50	10	.	.	PUNCT
bracis-33607	51	1	section	section	NOUN
bracis-33607	51	2	 	 	SPACE
bracis-33607	51	3	2	2	NUM
bracis-33607	51	4	presents	present	VERB
bracis-33607	51	5	the	the	DET
bracis-33607	51	6	main	main	ADJ
bracis-33607	51	7	theoretical	theoretical	ADJ
bracis-33607	51	8	concepts	concept	NOUN
bracis-33607	51	9	needed	need	VERB
bracis-33607	51	10	for	for	ADP
bracis-33607	51	11	the	the	DET
bracis-33607	51	12	development	development	NOUN
bracis-33607	51	13	of	of	ADP
bracis-33607	51	14	our	our	PRON
bracis-33607	51	15	proposal	proposal	NOUN
bracis-33607	51	16	.	.	PUNCT
bracis-33607	52	1	section	section	NOUN
bracis-33607	52	2	 	 	SPACE
bracis-33607	52	3	3	3	NUM
bracis-33607	52	4	presents	present	VERB
bracis-33607	52	5	our	our	PRON
bracis-33607	52	6	proposed	propose	VERB
bracis-33607	52	7	semi	semi	ADJ
bracis-33607	52	8	-	-	ADJ
bracis-33607	52	9	supervised	supervised	ADJ
bracis-33607	52	10	pct	pct	NOUN
bracis-33607	52	11	.	.	PUNCT
bracis-33607	53	1	our	our	PRON
bracis-33607	53	2	methodology	methodology	NOUN
bracis-33607	53	3	is	be	AUX
bracis-33607	53	4	presented	present	VERB
bracis-33607	53	5	in	in	ADP
bracis-33607	53	6	sect	sect	NOUN
bracis-33607	53	7	.	.	PUNCT
bracis-33607	53	8	 	 	SPACE
bracis-33607	54	1	4	4	NUM
bracis-33607	54	2	,	,	PUNCT
bracis-33607	54	3	while	while	SCONJ
bracis-33607	54	4	our	our	PRON
bracis-33607	54	5	experiments	experiment	NOUN
bracis-33607	54	6	are	be	AUX
bracis-33607	54	7	presented	present	VERB
bracis-33607	54	8	and	and	CCONJ
bracis-33607	54	9	discussed	discuss	VERB
bracis-33607	54	10	in	in	ADP
bracis-33607	54	11	sect	sect	NOUN
bracis-33607	54	12	.	.	PUNCT
bracis-33607	54	13	 	 	SPACE
bracis-33607	55	1	5	5	NUM
bracis-33607	55	2	.	.	PUNCT
bracis-33607	56	1	finally	finally	ADV
bracis-33607	56	2	,	,	PUNCT
bracis-33607	56	3	sect	sect	NOUN
bracis-33607	56	4	.	.	PUNCT
bracis-33607	56	5	 	 	SPACE
bracis-33607	57	1	6	6	NUM
bracis-33607	57	2	presents	present	VERB
bracis-33607	57	3	our	our	PRON
bracis-33607	57	4	conclusions	conclusion	NOUN
bracis-33607	57	5	and	and	CCONJ
bracis-33607	57	6	future	future	ADJ
bracis-33607	57	7	work	work	NOUN
bracis-33607	57	8	.	.	PUNCT
bracis-33607	58	1	2	2	NUM
bracis-33607	58	2	theoretical	theoretical	ADJ
bracis-33607	58	3	foundation	foundation	NOUN
bracis-33607	58	4	this	this	DET
bracis-33607	58	5	section	section	NOUN
bracis-33607	58	6	presents	present	VERB
bracis-33607	58	7	the	the	DET
bracis-33607	58	8	main	main	ADJ
bracis-33607	58	9	concepts	concept	NOUN
bracis-33607	58	10	necessary	necessary	ADJ
bracis-33607	58	11	to	to	PART
bracis-33607	58	12	develop	develop	VERB
bracis-33607	58	13	our	our	PRON
bracis-33607	58	14	proposal	proposal	NOUN
bracis-33607	58	15	.	.	PUNCT
bracis-33607	59	1	2.1	2.1	NUM
bracis-33607	59	2	multi	multi	ADJ
bracis-33607	59	3	-	-	ADJ
bracis-33607	59	4	label	label	ADJ
bracis-33607	59	5	classification	classification	NOUN
bracis-33607	59	6	traditional	traditional	ADJ
bracis-33607	59	7	classification	classification	NOUN
bracis-33607	59	8	algorithms	algorithm	NOUN
bracis-33607	59	9	associate	associate	VERB
bracis-33607	59	10	a	a	DET
bracis-33607	59	11	single	single	ADJ
bracis-33607	59	12	label	label	NOUN
bracis-33607	59	13	/	/	SYM
bracis-33607	59	14	class	class	NOUN
bracis-33607	59	15	with	with	ADP
bracis-33607	59	16	each	each	DET
bracis-33607	59	17	instance	instance	NOUN
bracis-33607	59	18	in	in	ADP
bracis-33607	59	19	a	a	DET
bracis-33607	59	20	dataset	dataset	NOUN
bracis-33607	59	21	.	.	PUNCT
bracis-33607	60	1	however	however	ADV
bracis-33607	60	2	,	,	PUNCT
bracis-33607	60	3	there	there	PRON
bracis-33607	60	4	are	be	VERB
bracis-33607	60	5	many	many	ADJ
bracis-33607	60	6	problems	problem	NOUN
bracis-33607	60	7	where	where	SCONJ
bracis-33607	60	8	we	we	PRON
bracis-33607	60	9	need	need	VERB
bracis-33607	60	10	to	to	PART
bracis-33607	60	11	associate	associate	VERB
bracis-33607	60	12	an	an	DET
bracis-33607	60	13	instance	instance	NOUN
bracis-33607	60	14	with	with	ADP
bracis-33607	60	15	two	two	NUM
bracis-33607	60	16	or	or	CCONJ
bracis-33607	60	17	more	more	ADJ
bracis-33607	60	18	labels	label	NOUN
bracis-33607	60	19	simultaneously	simultaneously	ADV
bracis-33607	60	20	.	.	PUNCT
bracis-33607	61	1	in	in	ADP
bracis-33607	61	2	multi	multi	ADJ
bracis-33607	61	3	-	-	ADJ
bracis-33607	61	4	label	label	ADJ
bracis-33607	61	5	classification	classification	NOUN
bracis-33607	61	6	,	,	PUNCT
bracis-33607	61	7	an	an	DET
bracis-33607	61	8	instance	instance	NOUN
bracis-33607	61	9	can	can	AUX
bracis-33607	61	10	be	be	AUX
bracis-33607	61	11	classified	classify	VERB
bracis-33607	61	12	into	into	ADP
bracis-33607	61	13	two	two	NUM
bracis-33607	61	14	or	or	CCONJ
bracis-33607	61	15	more	more	ADJ
bracis-33607	61	16	labels	label	NOUN
bracis-33607	61	17	simultaneously	simultaneously	ADV
bracis-33607	61	18	.	.	PUNCT
bracis-33607	62	1	documents	document	NOUN
bracis-33607	62	2	,	,	PUNCT
bracis-33607	62	3	images	image	NOUN
bracis-33607	62	4	,	,	PUNCT
bracis-33607	62	5	videos	video	NOUN
bracis-33607	62	6	,	,	PUNCT
bracis-33607	62	7	music	music	NOUN
bracis-33607	62	8	,	,	PUNCT
bracis-33607	62	9	emotions	emotion	NOUN
bracis-33607	62	10	,	,	PUNCT
bracis-33607	62	11	and	and	CCONJ
bracis-33607	62	12	proteins	protein	NOUN
bracis-33607	62	13	are	be	AUX
bracis-33607	62	14	examples	example	NOUN
bracis-33607	62	15	of	of	ADP
bracis-33607	62	16	multi	multi	ADJ
bracis-33607	62	17	-	-	ADJ
bracis-33607	62	18	label	label	ADJ
bracis-33607	62	19	 	 	SPACE
bracis-33607	62	20	data	datum	NOUN
bracis-33607	62	21	given	give	VERB
bracis-33607	62	22	\(l	\(l	NOUN
bracis-33607	62	23	=	=	SYM
bracis-33607	62	24	\{l_j	\{l_j	VERB
bracis-33607	62	25	:	:	PUNCT
bracis-33607	62	26	j	j	PROPN
bracis-33607	62	27	=	=	SYM
bracis-33607	62	28	1	1	NUM
bracis-33607	62	29	,	,	PUNCT
bracis-33607	62	30	...	...	PUNCT
bracis-33607	62	31	,	,	PUNCT
bracis-33607	62	32	q\}\	q\}\	NOUN
bracis-33607	62	33	)	)	PUNCT
bracis-33607	62	34	a	a	DET
bracis-33607	62	35	finite	finite	ADJ
bracis-33607	62	36	label	label	NOUN
bracis-33607	62	37	set	set	NOUN
bracis-33607	62	38	,	,	PUNCT
bracis-33607	62	39	multi	multi	ADJ
bracis-33607	62	40	-	-	ADJ
bracis-33607	62	41	label	label	ADJ
bracis-33607	62	42	algorithms	algorithm	NOUN
bracis-33607	62	43	associate	associate	NOUN
bracis-33607	62	44	to	to	ADP
bracis-33607	62	45	each	each	DET
bracis-33607	62	46	instance	instance	NOUN
bracis-33607	62	47	\(x_i\	\(x_i\	PROPN
bracis-33607	62	48	)	)	PUNCT
bracis-33607	62	49	of	of	ADP
bracis-33607	62	50	a	a	DET
bracis-33607	62	51	dataset	dataset	NOUN
bracis-33607	62	52	,	,	PUNCT
bracis-33607	62	53	a	a	DET
bracis-33607	62	54	set	set	NOUN
bracis-33607	62	55	of	of	ADP
bracis-33607	62	56	labels	label	NOUN
bracis-33607	62	57	\(y_i\	\(y_i\	NOUN
bracis-33607	62	58	)	)	PUNCT
bracis-33607	63	1	such	such	ADJ
bracis-33607	63	2	that	that	SCONJ
bracis-33607	63	3	\(y_i	\(y_i	NOUN
bracis-33607	63	4	\subseteq	\subseteq	PROPN
bracis-33607	63	5	l\	l\	NOUN
bracis-33607	63	6	)	)	PUNCT
bracis-33607	63	7	 	 	SPACE
bracis-33607	63	8	[	[	X
bracis-33607	63	9	31	31	NUM
bracis-33607	63	10	]	]	PUNCT
bracis-33607	63	11	.	.	PUNCT
bracis-33607	64	1	multi	multi	ADJ
bracis-33607	64	2	-	-	ADJ
bracis-33607	64	3	label	label	ADJ
bracis-33607	64	4	classification	classification	NOUN
bracis-33607	64	5	methods	method	NOUN
bracis-33607	64	6	can	can	AUX
bracis-33607	64	7	be	be	AUX
bracis-33607	64	8	characterized	characterize	VERB
bracis-33607	64	9	into	into	ADP
bracis-33607	64	10	three	three	NUM
bracis-33607	64	11	approaches	approach	NOUN
bracis-33607	64	12	 	 	SPACE
bracis-33607	65	1	[	[	X
bracis-33607	65	2	18	18	NUM
bracis-33607	65	3	]	]	PUNCT
bracis-33607	65	4	:	:	PUNCT
bracis-33607	65	5	i	i	NOUN
bracis-33607	65	6	)	)	PUNCT
bracis-33607	65	7	problem	problem	NOUN
bracis-33607	65	8	transformation	transformation	NOUN
bracis-33607	65	9	,	,	PUNCT
bracis-33607	65	10	which	which	PRON
bracis-33607	65	11	transforms	transform	VERB
bracis-33607	65	12	multi	multi	ADJ
bracis-33607	65	13	-	-	ADJ
bracis-33607	65	14	label	label	ADJ
bracis-33607	65	15	problems	problem	NOUN
bracis-33607	65	16	into	into	ADP
bracis-33607	65	17	single	single	ADJ
bracis-33607	65	18	-	-	PUNCT
bracis-33607	65	19	label	label	NOUN
bracis-33607	65	20	problems	problem	NOUN
bracis-33607	65	21	and	and	CCONJ
bracis-33607	65	22	then	then	ADV
bracis-33607	65	23	employs	employ	VERB
bracis-33607	65	24	traditional	traditional	ADJ
bracis-33607	65	25	classification	classification	NOUN
bracis-33607	65	26	algorithms	algorithm	NOUN
bracis-33607	65	27	;	;	PUNCT
bracis-33607	65	28	ii	ii	X
bracis-33607	65	29	)	)	PUNCT
bracis-33607	65	30	algorithm	algorithm	NOUN
bracis-33607	65	31	adaptation	adaptation	NOUN
bracis-33607	65	32	,	,	PUNCT
bracis-33607	65	33	which	which	PRON
bracis-33607	65	34	creates	create	VERB
bracis-33607	65	35	algorithms	algorithm	NOUN
bracis-33607	65	36	to	to	PART
bracis-33607	65	37	handle	handle	VERB
bracis-33607	65	38	multiple	multiple	ADJ
bracis-33607	65	39	labels	label	NOUN
bracis-33607	65	40	simultaneously	simultaneously	ADV
bracis-33607	65	41	;	;	PUNCT
bracis-33607	65	42	and	and	CCONJ
bracis-33607	65	43	iii	iii	X
bracis-33607	65	44	)	)	PUNCT
bracis-33607	65	45	ensemble	ensemble	ADJ
bracis-33607	65	46	,	,	PUNCT
bracis-33607	65	47	which	which	PRON
bracis-33607	65	48	combines	combine	VERB
bracis-33607	65	49	a	a	DET
bracis-33607	65	50	set	set	NOUN
bracis-33607	65	51	of	of	ADP
bracis-33607	65	52	multi	multi	ADJ
bracis-33607	65	53	-	-	ADJ
bracis-33607	65	54	label	label	ADJ
bracis-33607	65	55	classifiers	classifier	NOUN
bracis-33607	65	56	to	to	PART
bracis-33607	65	57	solve	solve	VERB
bracis-33607	65	58	the	the	DET
bracis-33607	65	59	problem	problem	NOUN
bracis-33607	65	60	.	.	PUNCT
bracis-33607	66	1	in	in	ADP
bracis-33607	66	2	this	this	DET
bracis-33607	66	3	work	work	NOUN
bracis-33607	66	4	,	,	PUNCT
bracis-33607	66	5	our	our	PRON
bracis-33607	66	6	proposed	propose	VERB
bracis-33607	66	7	semi	semi	ADJ
bracis-33607	66	8	-	-	ADJ
bracis-33607	66	9	supervised	supervised	ADJ
bracis-33607	66	10	predictive	predictive	ADJ
bracis-33607	66	11	clustering	clustering	NOUN
bracis-33607	66	12	tree	tree	NOUN
bracis-33607	66	13	is	be	AUX
bracis-33607	66	14	based	base	VERB
bracis-33607	66	15	on	on	ADP
bracis-33607	66	16	the	the	DET
bracis-33607	66	17	algorithm	algorithm	NOUN
bracis-33607	66	18	adaptation	adaptation	NOUN
bracis-33607	66	19	approach	approach	NOUN
bracis-33607	66	20	since	since	SCONJ
bracis-33607	66	21	the	the	DET
bracis-33607	66	22	literature	literature	NOUN
bracis-33607	66	23	has	have	AUX
bracis-33607	66	24	already	already	ADV
bracis-33607	66	25	shown	show	VERB
bracis-33607	66	26	the	the	DET
bracis-33607	66	27	advantages	advantage	NOUN
bracis-33607	66	28	of	of	ADP
bracis-33607	66	29	algorithm	algorithm	NOUN
bracis-33607	66	30	adaptation	adaptation	NOUN
bracis-33607	66	31	over	over	ADP
bracis-33607	66	32	problem	problem	NOUN
bracis-33607	66	33	transformation	transformation	NOUN
bracis-33607	66	34	,	,	PUNCT
bracis-33607	66	35	such	such	ADJ
bracis-33607	66	36	as	as	ADP
bracis-33607	66	37	considering	consider	VERB
bracis-33607	66	38	label	label	NOUN
bracis-33607	66	39	correlations	correlation	NOUN
bracis-33607	66	40	 	 	SPACE
bracis-33607	67	1	[	[	X
bracis-33607	67	2	4	4	NUM
bracis-33607	67	3	,	,	PUNCT
bracis-33607	67	4	32	32	NUM
bracis-33607	67	5	]	]	PUNCT
bracis-33607	67	6	.	.	PUNCT
bracis-33607	68	1	2.2	2.2	NUM
bracis-33607	68	2	semi	semi	ADV
bracis-33607	68	3	-	-	ADJ
bracis-33607	68	4	supervised	supervised	ADJ
bracis-33607	68	5	classification	classification	NOUN
bracis-33607	68	6	the	the	DET
bracis-33607	68	7	main	main	ADJ
bracis-33607	68	8	goal	goal	NOUN
bracis-33607	68	9	of	of	ADP
bracis-33607	68	10	semi	semi	ADJ
bracis-33607	68	11	-	-	ADJ
bracis-33607	68	12	supervised	supervised	ADJ
bracis-33607	68	13	classification	classification	NOUN
bracis-33607	68	14	(	(	PUNCT
bracis-33607	68	15	ssc	ssc	NOUN
bracis-33607	68	16	)	)	PUNCT
bracis-33607	68	17	is	be	AUX
bracis-33607	68	18	to	to	PART
bracis-33607	68	19	construct	construct	VERB
bracis-33607	68	20	a	a	DET
bracis-33607	68	21	model	model	NOUN
bracis-33607	68	22	that	that	PRON
bracis-33607	68	23	uses	uses	AUX
bracis-33607	68	24	labeled	label	VERB
bracis-33607	68	25	and	and	CCONJ
bracis-33607	68	26	unlabeled	unlabeled	ADJ
bracis-33607	68	27	data	datum	NOUN
bracis-33607	68	28	,	,	PUNCT
bracis-33607	68	29	obtaining	obtain	VERB
bracis-33607	68	30	a	a	DET
bracis-33607	68	31	better	well	ADJ
bracis-33607	68	32	prediction	prediction	NOUN
bracis-33607	68	33	performance	performance	NOUN
bracis-33607	68	34	than	than	ADP
bracis-33607	68	35	the	the	DET
bracis-33607	68	36	one	one	NOUN
bracis-33607	68	37	trained	train	VERB
bracis-33607	68	38	only	only	ADV
bracis-33607	68	39	with	with	ADP
bracis-33607	68	40	labeled	label	VERB
bracis-33607	68	41	data	datum	NOUN
bracis-33607	68	42	.	.	PUNCT
bracis-33607	69	1	thus	thus	ADV
bracis-33607	69	2	,	,	PUNCT
bracis-33607	69	3	ssc	ssc	NOUN
bracis-33607	69	4	learning	learning	NOUN
bracis-33607	69	5	can	can	AUX
bracis-33607	69	6	be	be	AUX
bracis-33607	69	7	seen	see	VERB
bracis-33607	69	8	as	as	ADP
bracis-33607	69	9	a	a	DET
bracis-33607	69	10	midway	midway	NOUN
bracis-33607	69	11	between	between	ADP
bracis-33607	69	12	supervised	supervised	ADJ
bracis-33607	69	13	learning	learning	NOUN
bracis-33607	69	14	,	,	PUNCT
bracis-33607	69	15	in	in	ADP
bracis-33607	69	16	which	which	PRON
bracis-33607	69	17	we	we	PRON
bracis-33607	69	18	only	only	ADV
bracis-33607	69	19	learn	learn	VERB
bracis-33607	69	20	from	from	ADP
bracis-33607	69	21	labeled	label	VERB
bracis-33607	69	22	instances	instance	NOUN
bracis-33607	69	23	,	,	PUNCT
bracis-33607	69	24	and	and	CCONJ
bracis-33607	69	25	unsupervised	unsupervised	ADJ
bracis-33607	69	26	learning	learning	NOUN
bracis-33607	69	27	,	,	PUNCT
bracis-33607	69	28	in	in	ADP
bracis-33607	69	29	which	which	PRON
bracis-33607	69	30	we	we	PRON
bracis-33607	69	31	only	only	ADV
bracis-33607	69	32	learn	learn	VERB
bracis-33607	69	33	from	from	ADP
bracis-33607	69	34	unlabeled	unlabele	VERB
bracis-33607	69	35	instances	instance	NOUN
bracis-33607	69	36	 	 	SPACE
bracis-33607	69	37	[	[	X
bracis-33607	69	38	22	22	NUM
bracis-33607	69	39	]	]	PUNCT
bracis-33607	69	40	.	.	PUNCT
bracis-33607	70	1	ssc	ssc	PROPN
bracis-33607	70	2	can	can	AUX
bracis-33607	70	3	be	be	AUX
bracis-33607	70	4	helpful	helpful	ADJ
bracis-33607	70	5	in	in	ADP
bracis-33607	70	6	situations	situation	NOUN
bracis-33607	70	7	where	where	SCONJ
bracis-33607	70	8	(	(	PUNCT
bracis-33607	70	9	i	i	NOUN
bracis-33607	70	10	)	)	PUNCT
bracis-33607	70	11	the	the	DET
bracis-33607	70	12	labels	label	NOUN
bracis-33607	70	13	of	of	ADP
bracis-33607	70	14	the	the	DET
bracis-33607	70	15	instances	instance	NOUN
bracis-33607	70	16	are	be	AUX
bracis-33607	70	17	hard	hard	ADJ
bracis-33607	70	18	to	to	PART
bracis-33607	70	19	obtain	obtain	VERB
bracis-33607	70	20	,	,	PUNCT
bracis-33607	70	21	requiring	require	VERB
bracis-33607	70	22	human	human	ADJ
bracis-33607	70	23	specialists	specialist	NOUN
bracis-33607	70	24	,	,	PUNCT
bracis-33607	70	25	special	special	ADJ
bracis-33607	70	26	devices	device	NOUN
bracis-33607	70	27	,	,	PUNCT
bracis-33607	70	28	slow	slow	ADJ
bracis-33607	70	29	experiments	experiment	NOUN
bracis-33607	70	30	,	,	PUNCT
bracis-33607	70	31	etc	etc	X
bracis-33607	70	32	.	.	X
bracis-33607	70	33	,	,	PUNCT
bracis-33607	70	34	and	and	CCONJ
bracis-33607	70	35	(	(	PUNCT
bracis-33607	70	36	ii	ii	NOUN
bracis-33607	70	37	)	)	PUNCT
bracis-33607	70	38	there	there	PRON
bracis-33607	70	39	is	be	VERB
bracis-33607	70	40	a	a	DET
bracis-33607	70	41	large	large	ADJ
bracis-33607	70	42	amount	amount	NOUN
bracis-33607	70	43	of	of	ADP
bracis-33607	70	44	unlabeled	unlabeled	ADJ
bracis-33607	70	45	data	datum	NOUN
bracis-33607	70	46	available	available	ADJ
bracis-33607	70	47	.	.	PUNCT
bracis-33607	71	1	in	in	ADP
bracis-33607	71	2	these	these	DET
bracis-33607	71	3	cases	case	NOUN
bracis-33607	71	4	,	,	PUNCT
bracis-33607	71	5	ssl	ssl	PROPN
bracis-33607	71	6	requires	require	VERB
bracis-33607	71	7	less	less	ADJ
bracis-33607	71	8	human	human	ADJ
bracis-33607	71	9	effort	effort	NOUN
bracis-33607	71	10	and	and	CCONJ
bracis-33607	71	11	can	can	AUX
bracis-33607	71	12	potentially	potentially	ADV
bracis-33607	71	13	improve	improve	VERB
bracis-33607	71	14	the	the	DET
bracis-33607	71	15	accuracy	accuracy	NOUN
bracis-33607	71	16	of	of	ADP
bracis-33607	71	17	the	the	DET
bracis-33607	71	18	classifiers	classifier	NOUN
bracis-33607	71	19	.	.	PUNCT
bracis-33607	72	1	many	many	ADJ
bracis-33607	72	2	domains	domain	NOUN
bracis-33607	72	3	struggle	struggle	VERB
bracis-33607	72	4	with	with	ADP
bracis-33607	72	5	the	the	DET
bracis-33607	72	6	abovementioned	abovementione	VERB
bracis-33607	72	7	problems	problem	NOUN
bracis-33607	72	8	,	,	PUNCT
bracis-33607	72	9	such	such	ADJ
bracis-33607	72	10	as	as	ADP
bracis-33607	72	11	speech	speech	NOUN
bracis-33607	72	12	recognition	recognition	NOUN
bracis-33607	72	13	,	,	PUNCT
bracis-33607	72	14	bioinformatics	bioinformatics	NOUN
bracis-33607	72	15	,	,	PUNCT
bracis-33607	72	16	text	text	NOUN
bracis-33607	72	17	processing	processing	NOUN
bracis-33607	72	18	,	,	PUNCT
bracis-33607	72	19	and	and	CCONJ
bracis-33607	72	20	image	image	NOUN
bracis-33607	72	21	categorization	categorization	NOUN
bracis-33607	72	22	 	 	SPACE
bracis-33607	73	1	[	[	X
bracis-33607	73	2	19	19	NUM
bracis-33607	73	3	,	,	PUNCT
bracis-33607	73	4	22	22	NUM
bracis-33607	73	5	]	]	PUNCT
bracis-33607	73	6	.	.	PUNCT
bracis-33607	74	1	ssc	ssc	PROPN
bracis-33607	74	2	can	can	AUX
bracis-33607	74	3	be	be	AUX
bracis-33607	74	4	divided	divide	VERB
bracis-33607	74	5	into	into	ADP
bracis-33607	74	6	two	two	NUM
bracis-33607	74	7	categories	category	NOUN
bracis-33607	74	8	:	:	PUNCT
bracis-33607	74	9	transductive	transductive	ADJ
bracis-33607	74	10	learning	learning	NOUN
bracis-33607	74	11	and	and	CCONJ
bracis-33607	74	12	inductive	inductive	ADJ
bracis-33607	74	13	learning	learning	NOUN
bracis-33607	74	14	.	.	PUNCT
bracis-33607	75	1	while	while	SCONJ
bracis-33607	75	2	inductive	inductive	ADJ
bracis-33607	75	3	learning	learning	NOUN
bracis-33607	75	4	focuses	focus	VERB
bracis-33607	75	5	on	on	ADP
bracis-33607	75	6	building	build	VERB
bracis-33607	75	7	a	a	DET
bracis-33607	75	8	good	good	ADJ
bracis-33607	75	9	classifier	classifier	NOUN
bracis-33607	75	10	capable	capable	ADJ
bracis-33607	75	11	of	of	ADP
bracis-33607	75	12	predicting	predict	VERB
bracis-33607	75	13	unseen	unseen	ADJ
bracis-33607	75	14	data	datum	NOUN
bracis-33607	75	15	accurately	accurately	ADV
bracis-33607	75	16	,	,	PUNCT
bracis-33607	75	17	transductive	transductive	ADJ
bracis-33607	75	18	learning	learning	NOUN
bracis-33607	75	19	aims	aim	VERB
bracis-33607	75	20	to	to	PART
bracis-33607	75	21	predict	predict	VERB
bracis-33607	75	22	the	the	DET
bracis-33607	75	23	labels	label	NOUN
bracis-33607	75	24	from	from	ADP
bracis-33607	75	25	the	the	DET
bracis-33607	75	26	unlabeled	unlabeled	ADJ
bracis-33607	75	27	instances	instance	NOUN
bracis-33607	75	28	given	give	VERB
bracis-33607	75	29	in	in	ADP
bracis-33607	75	30	the	the	DET
bracis-33607	75	31	training	training	NOUN
bracis-33607	75	32	set	set	NOUN
bracis-33607	75	33	 	 	SPACE
bracis-33607	76	1	[	[	X
bracis-33607	76	2	30	30	NUM
bracis-33607	76	3	]	]	PUNCT
bracis-33607	76	4	.	.	PUNCT
bracis-33607	77	1	in	in	ADP
bracis-33607	77	2	this	this	DET
bracis-33607	77	3	work	work	NOUN
bracis-33607	77	4	,	,	PUNCT
bracis-33607	77	5	our	our	PRON
bracis-33607	77	6	proposed	propose	VERB
bracis-33607	77	7	semi	semi	ADJ
bracis-33607	77	8	-	-	ADJ
bracis-33607	77	9	supervised	supervised	ADJ
bracis-33607	77	10	predictive	predictive	ADJ
bracis-33607	77	11	clustering	clustering	NOUN
bracis-33607	77	12	tree	tree	NOUN
bracis-33607	77	13	is	be	AUX
bracis-33607	77	14	based	base	VERB
bracis-33607	77	15	on	on	ADP
bracis-33607	77	16	inductive	inductive	ADJ
bracis-33607	77	17	learning	learning	NOUN
bracis-33607	77	18	.	.	PUNCT
bracis-33607	78	1	2.3	2.3	NUM
bracis-33607	78	2	predictive	predictive	ADJ
bracis-33607	78	3	clustering	cluster	VERB
bracis-33607	78	4	trees	tree	NOUN
bracis-33607	78	5	predictive	predictive	ADJ
bracis-33607	78	6	clustering	clustering	ADJ
bracis-33607	78	7	trees	tree	NOUN
bracis-33607	78	8	(	(	PUNCT
bracis-33607	78	9	pcts	pct	NOUN
bracis-33607	78	10	)	)	PUNCT
bracis-33607	78	11	 	 	SPACE
bracis-33607	79	1	[	[	X
bracis-33607	79	2	3	3	X
bracis-33607	79	3	]	]	PUNCT
bracis-33607	79	4	are	be	AUX
bracis-33607	79	5	a	a	DET
bracis-33607	79	6	generalization	generalization	NOUN
bracis-33607	79	7	of	of	ADP
bracis-33607	79	8	decision	decision	NOUN
bracis-33607	79	9	trees	tree	NOUN
bracis-33607	79	10	that	that	PRON
bracis-33607	79	11	can	can	AUX
bracis-33607	79	12	be	be	AUX
bracis-33607	79	13	used	use	VERB
bracis-33607	79	14	for	for	ADP
bracis-33607	79	15	clustering	clustering	NOUN
bracis-33607	79	16	and	and	CCONJ
bracis-33607	79	17	classification	classification	NOUN
bracis-33607	79	18	.	.	PUNCT
bracis-33607	80	1	in	in	ADP
bracis-33607	80	2	regular	regular	ADJ
bracis-33607	80	3	decision	decision	NOUN
bracis-33607	80	4	trees	tree	NOUN
bracis-33607	80	5	,	,	PUNCT
bracis-33607	80	6	the	the	DET
bracis-33607	80	7	leaves	leave	NOUN
bracis-33607	80	8	contain	contain	VERB
bracis-33607	80	9	the	the	DET
bracis-33607	80	10	classes	class	NOUN
bracis-33607	80	11	,	,	PUNCT
bracis-33607	80	12	and	and	CCONJ
bracis-33607	80	13	the	the	DET
bracis-33607	80	14	branches	branch	NOUN
bracis-33607	80	15	from	from	ADP
bracis-33607	80	16	the	the	DET
bracis-33607	80	17	root	root	NOUN
bracis-33607	80	18	to	to	ADP
bracis-33607	80	19	the	the	DET
bracis-33607	80	20	leaves	leave	NOUN
bracis-33607	80	21	contain	contain	VERB
bracis-33607	80	22	conditions	condition	NOUN
bracis-33607	80	23	for	for	ADP
bracis-33607	80	24	the	the	DET
bracis-33607	80	25	classification	classification	NOUN
bracis-33607	80	26	.	.	PUNCT
bracis-33607	81	1	pcts	pct	NOUN
bracis-33607	81	2	view	view	VERB
bracis-33607	81	3	a	a	DET
bracis-33607	81	4	decision	decision	NOUN
bracis-33607	81	5	tree	tree	NOUN
bracis-33607	81	6	as	as	ADP
bracis-33607	81	7	a	a	DET
bracis-33607	81	8	hierarchy	hierarchy	NOUN
bracis-33607	81	9	of	of	ADP
bracis-33607	81	10	clusters	cluster	NOUN
bracis-33607	81	11	in	in	ADP
bracis-33607	81	12	which	which	PRON
bracis-33607	81	13	the	the	DET
bracis-33607	81	14	root	root	NOUN
bracis-33607	81	15	of	of	ADP
bracis-33607	81	16	a	a	DET
bracis-33607	81	17	pct	pct	NOUN
bracis-33607	81	18	represents	represent	VERB
bracis-33607	81	19	a	a	DET
bracis-33607	81	20	cluster	cluster	NOUN
bracis-33607	81	21	containing	contain	VERB
bracis-33607	81	22	all	all	DET
bracis-33607	81	23	the	the	DET
bracis-33607	81	24	data	datum	NOUN
bracis-33607	81	25	and	and	CCONJ
bracis-33607	81	26	is	be	AUX
bracis-33607	81	27	recursively	recursively	ADV
bracis-33607	81	28	partitioned	partition	VERB
bracis-33607	81	29	into	into	ADP
bracis-33607	81	30	smaller	small	ADJ
bracis-33607	81	31	clusters	cluster	NOUN
bracis-33607	81	32	using	use	VERB
bracis-33607	81	33	a	a	DET
bracis-33607	81	34	criterion	criterion	NOUN
bracis-33607	81	35	to	to	PART
bracis-33607	81	36	select	select	VERB
bracis-33607	81	37	the	the	DET
bracis-33607	81	38	best	good	ADJ
bracis-33607	81	39	split	split	NOUN
bracis-33607	81	40	.	.	PUNCT
bracis-33607	82	1	the	the	DET
bracis-33607	82	2	leaves	leave	NOUN
bracis-33607	82	3	of	of	ADP
bracis-33607	82	4	a	a	DET
bracis-33607	82	5	pct	pct	NOUN
bracis-33607	82	6	correspond	correspond	NOUN
bracis-33607	82	7	to	to	ADP
bracis-33607	82	8	the	the	DET
bracis-33607	82	9	lowest	low	ADJ
bracis-33607	82	10	level	level	NOUN
bracis-33607	82	11	of	of	ADP
bracis-33607	82	12	the	the	DET
bracis-33607	82	13	cluster	cluster	NOUN
bracis-33607	82	14	hierarchy	hierarchy	NOUN
bracis-33607	82	15	,	,	PUNCT
bracis-33607	82	16	and	and	CCONJ
bracis-33607	82	17	each	each	DET
bracis-33607	82	18	leaf	leaf	NOUN
bracis-33607	82	19	is	be	AUX
bracis-33607	82	20	labeled	label	VERB
bracis-33607	82	21	with	with	ADP
bracis-33607	82	22	a	a	DET
bracis-33607	82	23	cluster	cluster	NOUN
bracis-33607	82	24	prototype	prototype	NOUN
bracis-33607	82	25	(	(	PUNCT
bracis-33607	82	26	multi	multi	ADJ
bracis-33607	82	27	-	-	ADJ
bracis-33607	82	28	label	label	ADJ
bracis-33607	82	29	prediction	prediction	NOUN
bracis-33607	82	30	)	)	PUNCT
bracis-33607	82	31	 	 	SPACE
bracis-33607	83	1	[	[	X
bracis-33607	83	2	16	16	NUM
bracis-33607	83	3	]	]	PUNCT
bracis-33607	83	4	.	.	PUNCT
bracis-33607	84	1	pcts	pct	NOUN
bracis-33607	84	2	can	can	AUX
bracis-33607	84	3	be	be	AUX
bracis-33607	84	4	constructed	construct	VERB
bracis-33607	84	5	using	use	VERB
bracis-33607	84	6	a	a	DET
bracis-33607	84	7	conventional	conventional	ADJ
bracis-33607	84	8	top	top	ADJ
bracis-33607	84	9	-	-	PUNCT
bracis-33607	84	10	down	down	ADP
bracis-33607	84	11	induction	induction	NOUN
bracis-33607	84	12	of	of	ADP
bracis-33607	84	13	decision	decision	NOUN
bracis-33607	84	14	trees	tree	NOUN
bracis-33607	84	15	heuristic	heuristic	ADJ
bracis-33607	84	16	(	(	PUNCT
bracis-33607	84	17	tdidt	tdidt	ADJ
bracis-33607	84	18	)	)	PUNCT
bracis-33607	84	19	 	 	SPACE
bracis-33607	85	1	[	[	X
bracis-33607	85	2	5	5	NUM
bracis-33607	85	3	]	]	PUNCT
bracis-33607	85	4	.	.	PUNCT
bracis-33607	86	1	the	the	DET
bracis-33607	86	2	algorithm	algorithm	NOUN
bracis-33607	86	3	receives	receive	VERB
bracis-33607	86	4	a	a	DET
bracis-33607	86	5	set	set	NOUN
bracis-33607	86	6	of	of	ADP
bracis-33607	86	7	examples	example	NOUN
bracis-33607	86	8	(	(	PUNCT
bracis-33607	86	9	e	e	NOUN
bracis-33607	86	10	)	)	PUNCT
bracis-33607	86	11	as	as	ADP
bracis-33607	86	12	input	input	NOUN
bracis-33607	86	13	and	and	CCONJ
bracis-33607	86	14	outputs	output	VERB
bracis-33607	86	15	the	the	DET
bracis-33607	86	16	final	final	ADJ
bracis-33607	86	17	pct	pct	NOUN
bracis-33607	86	18	.	.	PUNCT
bracis-33607	87	1	to	to	PART
bracis-33607	87	2	do	do	VERB
bracis-33607	87	3	this	this	PRON
bracis-33607	87	4	,	,	PUNCT
bracis-33607	87	5	it	it	PRON
bracis-33607	87	6	uses	use	VERB
bracis-33607	87	7	a	a	DET
bracis-33607	87	8	heuristic	heuristic	ADJ
bracis-33607	87	9	(	(	PUNCT
bracis-33607	87	10	h	h	NOUN
bracis-33607	87	11	)	)	PUNCT
bracis-33607	87	12	to	to	PART
bracis-33607	87	13	select	select	VERB
bracis-33607	87	14	the	the	DET
bracis-33607	87	15	best	good	ADJ
bracis-33607	87	16	test	test	NOUN
bracis-33607	87	17	(	(	PUNCT
bracis-33607	87	18	\(t^*\	\(t^*\	NOUN
bracis-33607	87	19	)	)	PUNCT
bracis-33607	87	20	)	)	PUNCT
bracis-33607	87	21	between	between	ADP
bracis-33607	87	22	the	the	DET
bracis-33607	87	23	tests	test	NOUN
bracis-33607	87	24	(	(	PUNCT
bracis-33607	87	25	t	t	NOUN
bracis-33607	87	26	)	)	PUNCT
bracis-33607	87	27	,	,	PUNCT
bracis-33607	87	28	also	also	ADV
bracis-33607	87	29	called	call	VERB
bracis-33607	87	30	possible	possible	ADJ
bracis-33607	87	31	splits	split	NOUN
bracis-33607	87	32	.	.	PUNCT
bracis-33607	88	1	the	the	DET
bracis-33607	88	2	heuristic	heuristic	NOUN
bracis-33607	88	3	used	use	VERB
bracis-33607	88	4	in	in	ADP
bracis-33607	88	5	pct	pct	NOUN
bracis-33607	88	6	is	be	AUX
bracis-33607	88	7	the	the	DET
bracis-33607	88	8	variance	variance	NOUN
bracis-33607	88	9	reduction	reduction	NOUN
bracis-33607	88	10	caused	cause	VERB
bracis-33607	88	11	by	by	ADP
bracis-33607	88	12	partitioning	partition	VERB
bracis-33607	88	13	the	the	DET
bracis-33607	88	14	instances	instance	NOUN
bracis-33607	88	15	from	from	ADP
bracis-33607	88	16	a	a	DET
bracis-33607	88	17	node	node	NOUN
bracis-33607	88	18	into	into	ADP
bracis-33607	88	19	many	many	ADJ
bracis-33607	88	20	data	datum	NOUN
bracis-33607	88	21	partitions	partition	NOUN
bracis-33607	88	22	(	(	PUNCT
bracis-33607	88	23	child	child	NOUN
bracis-33607	88	24	nodes	node	NOUN
bracis-33607	88	25	)	)	PUNCT
bracis-33607	88	26	according	accord	VERB
bracis-33607	88	27	to	to	ADP
bracis-33607	88	28	the	the	DET
bracis-33607	88	29	best	good	ADJ
bracis-33607	88	30	test	test	NOUN
bracis-33607	88	31	 	 	SPACE
bracis-33607	88	32	(	(	PUNCT
bracis-33607	88	33	\(t^*\	\(t^*\	NOUN
bracis-33607	88	34	)	)	PUNCT
bracis-33607	88	35	)	)	PUNCT
bracis-33607	88	36	.	.	PUNCT
bracis-33607	89	1	to	to	PART
bracis-33607	89	2	find	find	VERB
bracis-33607	89	3	the	the	DET
bracis-33607	89	4	best	good	ADJ
bracis-33607	89	5	test	test	NOUN
bracis-33607	89	6	at	at	ADP
bracis-33607	89	7	each	each	DET
bracis-33607	89	8	node	node	NOUN
bracis-33607	89	9	,	,	PUNCT
bracis-33607	89	10	the	the	DET
bracis-33607	89	11	besttest	bestt	ADJ
bracis-33607	89	12	procedure	procedure	NOUN
bracis-33607	89	13	searches	search	NOUN
bracis-33607	89	14	for	for	ADP
bracis-33607	89	15	the	the	DET
bracis-33607	89	16	best	good	ADJ
bracis-33607	89	17	acceptable	acceptable	ADJ
bracis-33607	89	18	test	test	NOUN
bracis-33607	89	19	by	by	ADP
bracis-33607	89	20	calculating	calculate	VERB
bracis-33607	89	21	the	the	DET
bracis-33607	89	22	variance	variance	NOUN
bracis-33607	89	23	reduction	reduction	NOUN
bracis-33607	89	24	for	for	ADP
bracis-33607	89	25	each	each	DET
bracis-33607	89	26	possible	possible	ADJ
bracis-33607	89	27	test	test	NOUN
bracis-33607	89	28	.	.	PUNCT
bracis-33607	90	1	the	the	DET
bracis-33607	90	2	procedure	procedure	NOUN
bracis-33607	90	3	returns	return	VERB
bracis-33607	90	4	the	the	DET
bracis-33607	90	5	best	good	ADJ
bracis-33607	90	6	test	test	NOUN
bracis-33607	90	7	found	find	VERB
bracis-33607	90	8	,	,	PUNCT
bracis-33607	90	9	the	the	DET
bracis-33607	90	10	heuristic	heuristic	ADJ
bracis-33607	90	11	value	value	NOUN
bracis-33607	90	12	,	,	PUNCT
bracis-33607	90	13	and	and	CCONJ
bracis-33607	90	14	the	the	DET
bracis-33607	90	15	new	new	ADJ
bracis-33607	90	16	partitions	partition	NOUN
bracis-33607	90	17	of	of	ADP
bracis-33607	90	18	the	the	DET
bracis-33607	90	19	node	node	ADJ
bracis-33607	90	20	data	datum	NOUN
bracis-33607	90	21	that	that	PRON
bracis-33607	90	22	will	will	AUX
bracis-33607	90	23	be	be	AUX
bracis-33607	90	24	used	use	VERB
bracis-33607	90	25	as	as	ADP
bracis-33607	90	26	child	child	NOUN
bracis-33607	90	27	nodes	node	NOUN
bracis-33607	90	28	.	.	PUNCT
bracis-33607	91	1	this	this	DET
bracis-33607	91	2	process	process	NOUN
bracis-33607	91	3	is	be	AUX
bracis-33607	91	4	repeated	repeat	VERB
bracis-33607	91	5	for	for	ADP
bracis-33607	91	6	every	every	DET
bracis-33607	91	7	child	child	NOUN
bracis-33607	91	8	node	node	NOUN
bracis-33607	91	9	until	until	SCONJ
bracis-33607	91	10	no	no	DET
bracis-33607	91	11	acceptable	acceptable	ADJ
bracis-33607	91	12	test	test	NOUN
bracis-33607	91	13	can	can	AUX
bracis-33607	91	14	be	be	AUX
bracis-33607	91	15	found	find	VERB
bracis-33607	91	16	,	,	PUNCT
bracis-33607	91	17	which	which	PRON
bracis-33607	91	18	means	mean	VERB
bracis-33607	91	19	that	that	SCONJ
bracis-33607	91	20	no	no	DET
bracis-33607	91	21	test	test	NOUN
bracis-33607	91	22	significantly	significantly	ADV
bracis-33607	91	23	reduces	reduce	VERB
bracis-33607	91	24	the	the	DET
bracis-33607	91	25	variance	variance	NOUN
bracis-33607	91	26	of	of	ADP
bracis-33607	91	27	the	the	DET
bracis-33607	91	28	node	node	NOUN
bracis-33607	91	29	.	.	PUNCT
bracis-33607	92	1	then	then	ADV
bracis-33607	92	2	,	,	PUNCT
bracis-33607	92	3	the	the	DET
bracis-33607	92	4	algorithm	algorithm	NOUN
bracis-33607	92	5	creates	create	VERB
bracis-33607	92	6	a	a	DET
bracis-33607	92	7	leaf	leaf	NOUN
bracis-33607	92	8	and	and	CCONJ
bracis-33607	92	9	computes	compute	VERB
bracis-33607	92	10	the	the	DET
bracis-33607	92	11	prototype	prototype	NOUN
bracis-33607	92	12	of	of	ADP
bracis-33607	92	13	the	the	DET
bracis-33607	92	14	instances	instance	NOUN
bracis-33607	92	15	belonging	belong	VERB
bracis-33607	92	16	to	to	ADP
bracis-33607	92	17	that	that	DET
bracis-33607	92	18	leaf	leaf	NOUN
bracis-33607	92	19	to	to	PART
bracis-33607	92	20	create	create	VERB
bracis-33607	92	21	the	the	DET
bracis-33607	92	22	predicted	predict	VERB
bracis-33607	92	23	labels	label	NOUN
bracis-33607	92	24	.	.	PUNCT
bracis-33607	93	1	this	this	DET
bracis-33607	93	2	whole	whole	ADJ
bracis-33607	93	3	pct	pct	NOUN
bracis-33607	93	4	induction	induction	NOUN
bracis-33607	93	5	process	process	NOUN
bracis-33607	93	6	is	be	AUX
bracis-33607	93	7	shown	show	VERB
bracis-33607	93	8	in	in	ADP
bracis-33607	93	9	 	 	SPACE
bracis-33607	93	10	algorithm	algorithm	NOUN
bracis-33607	93	11	 	 	SPACE
bracis-33607	93	12	1	1	NUM
bracis-33607	93	13	.	.	PUNCT
bracis-33607	93	14	maximizing	maximize	VERB
bracis-33607	93	15	the	the	DET
bracis-33607	93	16	variance	variance	NOUN
bracis-33607	93	17	reduction	reduction	NOUN
bracis-33607	93	18	when	when	SCONJ
bracis-33607	93	19	splitting	split	VERB
bracis-33607	93	20	each	each	DET
bracis-33607	93	21	node	node	NOUN
bracis-33607	93	22	ensures	ensure	VERB
bracis-33607	93	23	that	that	SCONJ
bracis-33607	93	24	the	the	DET
bracis-33607	93	25	corresponding	correspond	VERB
bracis-33607	93	26	clusters	cluster	NOUN
bracis-33607	93	27	’	’	PART
bracis-33607	93	28	homogeneity	homogeneity	NOUN
bracis-33607	93	29	increases	increase	VERB
bracis-33607	93	30	with	with	ADP
bracis-33607	93	31	the	the	DET
bracis-33607	93	32	depth	depth	NOUN
bracis-33607	93	33	of	of	ADP
bracis-33607	93	34	the	the	DET
bracis-33607	93	35	tree	tree	NOUN
bracis-33607	93	36	,	,	PUNCT
bracis-33607	93	37	improving	improve	VERB
bracis-33607	93	38	the	the	DET
bracis-33607	93	39	prediction	prediction	NOUN
bracis-33607	93	40	performance	performance	NOUN
bracis-33607	93	41	in	in	ADP
bracis-33607	93	42	general	general	ADJ
bracis-33607	93	43	 	 	SPACE
bracis-33607	94	1	[	[	X
bracis-33607	94	2	3	3	NUM
bracis-33607	94	3	]	]	PUNCT
bracis-33607	94	4	.	.	PUNCT
bracis-33607	95	1	the	the	DET
bracis-33607	95	2	main	main	ADJ
bracis-33607	95	3	difference	difference	NOUN
bracis-33607	95	4	between	between	ADP
bracis-33607	95	5	pcts	pct	NOUN
bracis-33607	95	6	and	and	CCONJ
bracis-33607	95	7	regular	regular	ADJ
bracis-33607	95	8	decision	decision	NOUN
bracis-33607	95	9	trees	tree	NOUN
bracis-33607	95	10	is	be	AUX
bracis-33607	95	11	that	that	SCONJ
bracis-33607	95	12	pcts	pct	NOUN
bracis-33607	95	13	treat	treat	VERB
bracis-33607	95	14	the	the	DET
bracis-33607	95	15	variance	variance	NOUN
bracis-33607	95	16	and	and	CCONJ
bracis-33607	95	17	prototype	prototype	NOUN
bracis-33607	95	18	functions	function	NOUN
bracis-33607	95	19	as	as	ADP
bracis-33607	95	20	hyperparameters	hyperparameter	NOUN
bracis-33607	95	21	that	that	PRON
bracis-33607	95	22	are	be	AUX
bracis-33607	95	23	instantiated	instantiate	VERB
bracis-33607	95	24	based	base	VERB
bracis-33607	95	25	on	on	ADP
bracis-33607	95	26	the	the	DET
bracis-33607	95	27	learning	learning	NOUN
bracis-33607	95	28	task	task	NOUN
bracis-33607	95	29	.	.	PUNCT
bracis-33607	96	1	thus	thus	ADV
bracis-33607	96	2	,	,	PUNCT
bracis-33607	96	3	pcts	pct	NOUN
bracis-33607	96	4	can	can	AUX
bracis-33607	96	5	be	be	AUX
bracis-33607	96	6	used	use	VERB
bracis-33607	96	7	in	in	ADP
bracis-33607	96	8	many	many	ADJ
bracis-33607	96	9	tasks	task	NOUN
bracis-33607	96	10	,	,	PUNCT
bracis-33607	96	11	such	such	ADJ
bracis-33607	96	12	as	as	ADP
bracis-33607	96	13	clustering	cluster	VERB
bracis-33607	96	14	 	 	SPACE
bracis-33607	97	1	[	[	X
bracis-33607	97	2	3	3	NUM
bracis-33607	97	3	,	,	PUNCT
bracis-33607	97	4	25	25	NUM
bracis-33607	97	5	]	]	PUNCT
bracis-33607	97	6	,	,	PUNCT
bracis-33607	97	7	multi	multi	ADJ
bracis-33607	97	8	-	-	ADJ
bracis-33607	97	9	output	output	ADJ
bracis-33607	97	10	classification	classification	NOUN
bracis-33607	97	11	and	and	CCONJ
bracis-33607	97	12	regression	regression	NOUN
bracis-33607	97	13	 	 	SPACE
bracis-33607	98	1	[	[	X
bracis-33607	98	2	2	2	NUM
bracis-33607	98	3	,	,	PUNCT
bracis-33607	98	4	24	24	NUM
bracis-33607	98	5	]	]	PUNCT
bracis-33607	98	6	,	,	PUNCT
bracis-33607	98	7	time	time	NOUN
bracis-33607	98	8	series	series	PROPN
bracis-33607	98	9	data	data	VERB
bracis-33607	98	10	analysis	analysis	NOUN
bracis-33607	98	11	 	 	SPACE
bracis-33607	99	1	[	[	X
bracis-33607	99	2	10	10	NUM
bracis-33607	99	3	]	]	PUNCT
bracis-33607	99	4	,	,	PUNCT
bracis-33607	99	5	interaction	interaction	NOUN
bracis-33607	99	6	prediction	prediction	NOUN
bracis-33607	99	7	 	 	SPACE
bracis-33607	100	1	[	[	X
bracis-33607	100	2	20	20	NUM
bracis-33607	100	3	]	]	PUNCT
bracis-33607	100	4	,	,	PUNCT
bracis-33607	100	5	and	and	CCONJ
bracis-33607	100	6	hierarchical	hierarchical	ADJ
bracis-33607	100	7	multi	multi	ADJ
bracis-33607	100	8	-	-	ADJ
bracis-33607	100	9	label	label	ADJ
bracis-33607	100	10	classification	classification	NOUN
bracis-33607	100	11	 	 	SPACE
bracis-33607	101	1	[	[	X
bracis-33607	101	2	32	32	NUM
bracis-33607	101	3	]	]	PUNCT
bracis-33607	101	4	.	.	PUNCT
bracis-33607	102	1	in	in	ADP
bracis-33607	102	2	our	our	PRON
bracis-33607	102	3	experiments	experiment	NOUN
bracis-33607	102	4	,	,	PUNCT
bracis-33607	102	5	we	we	PRON
bracis-33607	102	6	used	use	VERB
bracis-33607	102	7	the	the	DET
bracis-33607	102	8	clus	clus	ADJ
bracis-33607	102	9	implementation	implementation	NOUN
bracis-33607	102	10	of	of	ADP
bracis-33607	102	11	the	the	DET
bracis-33607	102	12	pcts	pct	NOUN
bracis-33607	102	13	 	 	SPACE
bracis-33607	103	1	[	[	X
bracis-33607	103	2	16	16	NUM
bracis-33607	103	3	,	,	PUNCT
bracis-33607	103	4	32	32	NUM
bracis-33607	103	5	]	]	PUNCT
bracis-33607	103	6	.	.	PUNCT
bracis-33607	104	1	3	3	NUM
bracis-33607	104	2	semi	semi	ADV
bracis-33607	104	3	-	-	ADJ
bracis-33607	104	4	supervised	supervised	ADJ
bracis-33607	104	5	predictive	predictive	ADJ
bracis-33607	104	6	clustering	clustering	NOUN
bracis-33607	104	7	trees	tree	NOUN
bracis-33607	104	8	our	our	PRON
bracis-33607	104	9	proposal	proposal	NOUN
bracis-33607	104	10	consists	consist	VERB
bracis-33607	104	11	of	of	ADP
bracis-33607	104	12	adapting	adapt	VERB
bracis-33607	104	13	the	the	DET
bracis-33607	104	14	clus	clus	ADJ
bracis-33607	104	15	induction	induction	NOUN
bracis-33607	104	16	procedure	procedure	NOUN
bracis-33607	104	17	to	to	PART
bracis-33607	104	18	create	create	VERB
bracis-33607	104	19	a	a	DET
bracis-33607	104	20	semi	semi	ADJ
bracis-33607	104	21	-	-	ADJ
bracis-33607	104	22	supervised	supervised	ADJ
bracis-33607	104	23	predictive	predictive	ADJ
bracis-33607	104	24	clustering	clustering	NOUN
bracis-33607	104	25	tree	tree	NOUN
bracis-33607	104	26	(	(	PUNCT
bracis-33607	104	27	ssl	ssl	ADJ
bracis-33607	104	28	-	-	NOUN
bracis-33607	104	29	pct	pct	NOUN
bracis-33607	104	30	)	)	PUNCT
bracis-33607	104	31	able	able	ADJ
bracis-33607	104	32	to	to	PART
bracis-33607	104	33	induce	induce	VERB
bracis-33607	104	34	a	a	DET
bracis-33607	104	35	clustering	clustering	ADJ
bracis-33607	104	36	decision	decision	NOUN
bracis-33607	104	37	tree	tree	NOUN
bracis-33607	104	38	using	use	VERB
bracis-33607	104	39	labeled	label	VERB
bracis-33607	104	40	and	and	CCONJ
bracis-33607	104	41	unlabeled	unlabele	VERB
bracis-33607	104	42	data	datum	NOUN
bracis-33607	104	43	simultaneously	simultaneously	ADV
bracis-33607	104	44	.	.	PUNCT
bracis-33607	105	1	our	our	PRON
bracis-33607	105	2	method	method	NOUN
bracis-33607	105	3	preserves	preserve	VERB
bracis-33607	105	4	the	the	DET
bracis-33607	105	5	appealing	appealing	ADJ
bracis-33607	105	6	characteristics	characteristic	NOUN
bracis-33607	105	7	of	of	ADP
bracis-33607	105	8	using	use	VERB
bracis-33607	105	9	a	a	DET
bracis-33607	105	10	decision	decision	NOUN
bracis-33607	105	11	tree	tree	NOUN
bracis-33607	105	12	,	,	PUNCT
bracis-33607	105	13	such	such	ADJ
bracis-33607	105	14	as	as	ADP
bracis-33607	105	15	being	be	AUX
bracis-33607	105	16	fast	fast	ADJ
bracis-33607	105	17	to	to	PART
bracis-33607	105	18	learn	learn	VERB
bracis-33607	105	19	and	and	CCONJ
bracis-33607	105	20	being	be	AUX
bracis-33607	105	21	readily	readily	ADV
bracis-33607	105	22	interpretable	interpretable	ADJ
bracis-33607	105	23	(	(	PUNCT
bracis-33607	105	24	unlike	unlike	ADP
bracis-33607	105	25	the	the	DET
bracis-33607	105	26	models	model	NOUN
bracis-33607	105	27	learned	learn	VERB
bracis-33607	105	28	by	by	ADP
bracis-33607	105	29	most	most	ADJ
bracis-33607	105	30	semi	semi	ADJ
bracis-33607	105	31	-	-	ADJ
bracis-33607	105	32	supervised	supervised	ADJ
bracis-33607	105	33	algorithms	algorithm	NOUN
bracis-33607	105	34	)	)	PUNCT
bracis-33607	105	35	,	,	PUNCT
bracis-33607	105	36	while	while	SCONJ
bracis-33607	105	37	making	make	VERB
bracis-33607	105	38	use	use	NOUN
bracis-33607	105	39	of	of	ADP
bracis-33607	105	40	unlabeled	unlabeled	ADJ
bracis-33607	105	41	data	datum	NOUN
bracis-33607	105	42	.	.	PUNCT
bracis-33607	106	1	some	some	DET
bracis-33607	106	2	essential	essential	ADJ
bracis-33607	106	3	modifications	modification	NOUN
bracis-33607	106	4	are	be	AUX
bracis-33607	106	5	needed	need	VERB
bracis-33607	106	6	to	to	PART
bracis-33607	106	7	adapt	adapt	VERB
bracis-33607	106	8	the	the	DET
bracis-33607	106	9	clus	clus	ADJ
bracis-33607	106	10	algorithm	algorithm	NOUN
bracis-33607	106	11	to	to	PART
bracis-33607	106	12	make	make	VERB
bracis-33607	106	13	it	it	PRON
bracis-33607	106	14	semi	semi	ADJ
bracis-33607	106	15	-	-	ADJ
bracis-33607	106	16	supervised	supervised	ADJ
bracis-33607	106	17	.	.	PUNCT
bracis-33607	107	1	the	the	DET
bracis-33607	107	2	first	first	ADJ
bracis-33607	107	3	one	one	NOUN
bracis-33607	107	4	is	be	AUX
bracis-33607	107	5	related	relate	VERB
bracis-33607	107	6	to	to	ADP
bracis-33607	107	7	the	the	DET
bracis-33607	107	8	initial	initial	ADJ
bracis-33607	107	9	set	set	NOUN
bracis-33607	107	10	of	of	ADP
bracis-33607	107	11	instances	instance	NOUN
bracis-33607	107	12	(	(	PUNCT
bracis-33607	107	13	e	e	NOUN
bracis-33607	107	14	)	)	PUNCT
bracis-33607	107	15	since	since	SCONJ
bracis-33607	107	16	now	now	ADV
bracis-33607	107	17	we	we	PRON
bracis-33607	107	18	have	have	VERB
bracis-33607	107	19	to	to	PART
bracis-33607	107	20	modify	modify	VERB
bracis-33607	107	21	clus	clus	ADV
bracis-33607	107	22	to	to	PART
bracis-33607	107	23	accept	accept	VERB
bracis-33607	107	24	labeled	label	VERB
bracis-33607	107	25	and	and	CCONJ
bracis-33607	107	26	unlabeled	unlabeled	ADJ
bracis-33607	107	27	instances	instance	NOUN
bracis-33607	107	28	as	as	ADP
bracis-33607	107	29	input	input	NOUN
bracis-33607	107	30	.	.	PUNCT
bracis-33607	108	1	our	our	PRON
bracis-33607	108	2	dataset	dataset	NOUN
bracis-33607	108	3	is	be	AUX
bracis-33607	108	4	now	now	ADV
bracis-33607	108	5	represented	represent	VERB
bracis-33607	108	6	as	as	ADP
bracis-33607	108	7	\(e	\(e	NOUN
bracis-33607	108	8	=	=	PUNCT
bracis-33607	108	9	e_l	e_l	PART
bracis-33607	108	10	\cup	\cup	X
bracis-33607	108	11	e_u	e_u	PUNCT
bracis-33607	108	12	\	\	PROPN
bracis-33607	108	13	)	)	PUNCT
bracis-33607	108	14	,	,	PUNCT
bracis-33607	108	15	where	where	SCONJ
bracis-33607	108	16	\(e_l\	\(e_l\	NOUN
bracis-33607	108	17	)	)	PUNCT
bracis-33607	108	18	is	be	AUX
bracis-33607	108	19	the	the	DET
bracis-33607	108	20	labeled	label	VERB
bracis-33607	108	21	part	part	NOUN
bracis-33607	108	22	of	of	ADP
bracis-33607	108	23	the	the	DET
bracis-33607	108	24	training	training	NOUN
bracis-33607	108	25	set	set	NOUN
bracis-33607	108	26	and	and	CCONJ
bracis-33607	108	27	\(e_u\	\(e_u\	NOUN
bracis-33607	108	28	)	)	PUNCT
bracis-33607	108	29	is	be	AUX
bracis-33607	108	30	the	the	DET
bracis-33607	108	31	unlabeled	unlabeled	ADJ
bracis-33607	108	32	part	part	NOUN
bracis-33607	108	33	.	.	PUNCT
bracis-33607	109	1	the	the	DET
bracis-33607	109	2	second	second	ADJ
bracis-33607	109	3	modification	modification	NOUN
bracis-33607	109	4	is	be	AUX
bracis-33607	109	5	related	relate	VERB
bracis-33607	109	6	to	to	ADP
bracis-33607	109	7	the	the	DET
bracis-33607	109	8	impurity	impurity	NOUN
bracis-33607	109	9	calculation	calculation	NOUN
bracis-33607	109	10	in	in	ADP
bracis-33607	109	11	the	the	DET
bracis-33607	109	12	besttest	bestt	ADJ
bracis-33607	109	13	procedure	procedure	NOUN
bracis-33607	109	14	.	.	PUNCT
bracis-33607	110	1	we	we	PRON
bracis-33607	110	2	must	must	AUX
bracis-33607	110	3	create	create	VERB
bracis-33607	110	4	a	a	DET
bracis-33607	110	5	new	new	ADJ
bracis-33607	110	6	heuristic	heuristic	NOUN
bracis-33607	110	7	that	that	PRON
bracis-33607	110	8	considers	consider	VERB
bracis-33607	110	9	labeled	label	VERB
bracis-33607	110	10	and	and	CCONJ
bracis-33607	110	11	unlabeled	unlabeled	ADJ
bracis-33607	110	12	data	datum	NOUN
bracis-33607	110	13	in	in	ADP
bracis-33607	110	14	a	a	DET
bracis-33607	110	15	node	node	NOUN
bracis-33607	110	16	.	.	PUNCT
bracis-33607	111	1	our	our	PRON
bracis-33607	111	2	proposed	propose	VERB
bracis-33607	111	3	impurity	impurity	NOUN
bracis-33607	111	4	comprises	comprise	VERB
bracis-33607	111	5	two	two	NUM
bracis-33607	111	6	parts	part	NOUN
bracis-33607	111	7	,	,	PUNCT
bracis-33607	111	8	a	a	DET
bracis-33607	111	9	supervised	supervised	ADJ
bracis-33607	111	10	and	and	CCONJ
bracis-33607	111	11	an	an	DET
bracis-33607	111	12	unsupervised	unsupervised	ADJ
bracis-33607	111	13	.	.	PUNCT
bracis-33607	112	1	a	a	DET
bracis-33607	112	2	\(\omega	\(\omega	X
bracis-33607	112	3	\	\	NOUN
bracis-33607	112	4	)	)	PUNCT
bracis-33607	112	5	hyperparameter	hyperparameter	NOUN
bracis-33607	112	6	controls	control	VERB
bracis-33607	112	7	the	the	DET
bracis-33607	112	8	influence	influence	NOUN
bracis-33607	112	9	of	of	ADP
bracis-33607	112	10	each	each	DET
bracis-33607	112	11	part	part	NOUN
bracis-33607	112	12	.	.	PUNCT
bracis-33607	113	1	the	the	DET
bracis-33607	113	2	proposed	propose	VERB
bracis-33607	113	3	impurity	impurity	NOUN
bracis-33607	113	4	is	be	AUX
bracis-33607	113	5	presented	present	VERB
bracis-33607	113	6	in	in	ADP
bracis-33607	113	7	eq	eq	ADP
bracis-33607	113	8	.	.	PUNCT
bracis-33607	113	9	 	 	SPACE
bracis-33607	114	1	1	1	NUM
bracis-33607	114	2	.	.	PUNCT
bracis-33607	114	3	$	$	SYM
bracis-33607	114	4	$	$	SYM
bracis-33607	114	5	\begin{aligned	\begin{aligne	VERB
bracis-33607	114	6	}	}	PUNCT
bracis-33607	114	7	\text	\text	ADP
bracis-33607	114	8	{	{	PUNCT
bracis-33607	114	9	impurity}_{\text	impurity}_{\text	INTJ
bracis-33607	114	10	{	{	PUNCT
bracis-33607	114	11	ssl}}({e	ssl}}({e	NOUN
bracis-33607	114	12	}	}	PUNCT
bracis-33607	114	13	)	)	PUNCT
bracis-33607	115	1	=	=	PUNCT
bracis-33607	115	2	\underbrace	\underbrace	NOUN
bracis-33607	115	3	{	{	PUNCT
bracis-33607	115	4	\frac{\omega	\frac{\omega	NOUN
bracis-33607	115	5	}	}	PUNCT
bracis-33607	115	6	{	{	PUNCT
bracis-33607	115	7	t	t	NOUN
bracis-33607	115	8	}	}	PUNCT
bracis-33607	115	9	.	.	PUNCT
bracis-33607	116	1	\sum	\sum	NOUN
bracis-33607	116	2	_	_	PRON
bracis-33607	116	3	{	{	PUNCT
bracis-33607	116	4	i=1}^	i=1}^	PROPN
bracis-33607	116	5	{	{	X
bracis-33607	116	6	t	t	PROPN
bracis-33607	116	7	}	}	PUNCT
bracis-33607	116	8	\text	\text	NOUN
bracis-33607	116	9	{	{	PUNCT
bracis-33607	116	10	impurity}(e_l	impurity}(e_l	PROPN
bracis-33607	116	11	,	,	PUNCT
bracis-33607	116	12	y_i)}_{\text	y_i)}_{\text	PROPN
bracis-33607	116	13	{	{	PUNCT
bracis-33607	116	14	supervised	supervise	VERB
bracis-33607	116	15	part	part	NOUN
bracis-33607	116	16	}	}	PUNCT
bracis-33607	116	17	}	}	PUNCT
bracis-33607	117	1	+	+	CCONJ
bracis-33607	117	2	\underbrace	\underbrace	NOUN
bracis-33607	117	3	{	{	PUNCT
bracis-33607	117	4	\frac{1-\omega	\frac{1-\omega	X
bracis-33607	117	5	}	}	PUNCT
bracis-33607	117	6	{	{	PUNCT
bracis-33607	117	7	d	d	NOUN
bracis-33607	117	8	}	}	PUNCT
bracis-33607	117	9	.	.	PUNCT
bracis-33607	118	1	\sum	\sum	NOUN
bracis-33607	118	2	_	_	PRON
bracis-33607	118	3	{	{	PUNCT
bracis-33607	118	4	i=1}^	i=1}^	PROPN
bracis-33607	118	5	{	{	PUNCT
bracis-33607	118	6	d	d	NOUN
bracis-33607	118	7	}	}	PUNCT
bracis-33607	118	8	\text	\text	ADV
bracis-33607	118	9	{	{	PUNCT
bracis-33607	118	10	impurity(}e	impurity(}e	PROPN
bracis-33607	118	11	,	,	PUNCT
bracis-33607	118	12	x_i)}_{\text	x_i)}_{\text	PUNCT
bracis-33607	118	13	{	{	PUNCT
bracis-33607	118	14	unsupervised	unsupervised	ADJ
bracis-33607	118	15	part	part	NOUN
bracis-33607	118	16	}	}	PUNCT
bracis-33607	118	17	}	}	PUNCT
bracis-33607	118	18	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	118	19	(	(	PUNCT
bracis-33607	118	20	1	1	NUM
bracis-33607	118	21	)	)	PUNCT
bracis-33607	118	22	in	in	ADP
bracis-33607	118	23	eq	eq	ADP
bracis-33607	118	24	.	.	PUNCT
bracis-33607	118	25	 	 	SPACE
bracis-33607	118	26	1	1	NUM
bracis-33607	118	27	,	,	PUNCT
bracis-33607	118	28	e	e	X
bracis-33607	118	29	is	be	AUX
bracis-33607	118	30	the	the	DET
bracis-33607	118	31	set	set	NOUN
bracis-33607	118	32	of	of	ADP
bracis-33607	118	33	instances	instance	NOUN
bracis-33607	118	34	,	,	PUNCT
bracis-33607	118	35	\(y_i\	\(y_i\	NOUN
bracis-33607	118	36	)	)	PUNCT
bracis-33607	118	37	represents	represent	VERB
bracis-33607	118	38	each	each	PRON
bracis-33607	118	39	of	of	ADP
bracis-33607	118	40	the	the	DET
bracis-33607	118	41	t	t	PROPN
bracis-33607	118	42	target	target	NOUN
bracis-33607	118	43	features	feature	NOUN
bracis-33607	118	44	(	(	PUNCT
bracis-33607	118	45	labels	label	NOUN
bracis-33607	118	46	)	)	PUNCT
bracis-33607	118	47	,	,	PUNCT
bracis-33607	118	48	\(x_i\	\(x_i\	NOUN
bracis-33607	118	49	)	)	PUNCT
bracis-33607	118	50	represents	represent	VERB
bracis-33607	118	51	each	each	PRON
bracis-33607	118	52	of	of	ADP
bracis-33607	118	53	the	the	DET
bracis-33607	118	54	d	d	PROPN
bracis-33607	118	55	descriptive	descriptive	ADJ
bracis-33607	118	56	features	feature	NOUN
bracis-33607	118	57	,	,	PUNCT
bracis-33607	118	58	and	and	CCONJ
bracis-33607	118	59	\(\omega	\(\omega	NOUN
bracis-33607	118	60	\	\	NOUN
bracis-33607	118	61	)	)	PUNCT
bracis-33607	118	62	is	be	AUX
bracis-33607	118	63	a	a	DET
bracis-33607	118	64	value	value	NOUN
bracis-33607	118	65	between	between	ADP
bracis-33607	118	66	0	0	NUM
bracis-33607	118	67	and	and	CCONJ
bracis-33607	118	68	1	1	NUM
bracis-33607	118	69	that	that	PRON
bracis-33607	118	70	weights	weight	VERB
bracis-33607	118	71	the	the	DET
bracis-33607	118	72	supervision	supervision	NOUN
bracis-33607	118	73	and	and	CCONJ
bracis-33607	118	74	unsupervision	unsupervision	NOUN
bracis-33607	118	75	used	use	VERB
bracis-33607	118	76	in	in	ADP
bracis-33607	118	77	the	the	DET
bracis-33607	118	78	method	method	NOUN
bracis-33607	118	79	.	.	PUNCT
bracis-33607	119	1	if	if	SCONJ
bracis-33607	119	2	\(\omega	\(\omega	PRON
bracis-33607	119	3	=	=	SYM
bracis-33607	119	4	1\	1\	NUM
bracis-33607	119	5	)	)	PUNCT
bracis-33607	119	6	,	,	PUNCT
bracis-33607	119	7	the	the	DET
bracis-33607	119	8	method	method	NOUN
bracis-33607	119	9	works	work	VERB
bracis-33607	119	10	using	use	VERB
bracis-33607	119	11	only	only	ADV
bracis-33607	119	12	the	the	DET
bracis-33607	119	13	labeled	label	VERB
bracis-33607	119	14	part	part	NOUN
bracis-33607	119	15	of	of	ADP
bracis-33607	119	16	the	the	DET
bracis-33607	119	17	dataset	dataset	NOUN
bracis-33607	119	18	,	,	PUNCT
bracis-33607	119	19	behaving	behave	VERB
bracis-33607	119	20	as	as	ADP
bracis-33607	119	21	a	a	DET
bracis-33607	119	22	supervised	supervised	ADJ
bracis-33607	119	23	learning	learning	NOUN
bracis-33607	119	24	algorithm	algorithm	NOUN
bracis-33607	119	25	.	.	PUNCT
bracis-33607	120	1	on	on	ADP
bracis-33607	120	2	the	the	DET
bracis-33607	120	3	other	other	ADJ
bracis-33607	120	4	hand	hand	NOUN
bracis-33607	120	5	,	,	PUNCT
bracis-33607	120	6	if	if	SCONJ
bracis-33607	120	7	\(\omega	\(\omega	PRON
bracis-33607	120	8	=	=	SYM
bracis-33607	120	9	0\	0\	PROPN
bracis-33607	120	10	)	)	PUNCT
bracis-33607	120	11	,	,	PUNCT
bracis-33607	120	12	the	the	DET
bracis-33607	120	13	algorithm	algorithm	NOUN
bracis-33607	120	14	behaves	behave	VERB
bracis-33607	120	15	as	as	ADP
bracis-33607	120	16	an	an	DET
bracis-33607	120	17	unsupervised	unsupervised	ADJ
bracis-33607	120	18	learning	learning	NOUN
bracis-33607	120	19	algorithm	algorithm	NOUN
bracis-33607	120	20	,	,	PUNCT
bracis-33607	120	21	not	not	PART
bracis-33607	120	22	using	use	VERB
bracis-33607	120	23	the	the	DET
bracis-33607	120	24	labels	label	NOUN
bracis-33607	120	25	to	to	PART
bracis-33607	120	26	define	define	VERB
bracis-33607	120	27	the	the	DET
bracis-33607	120	28	splits	split	NOUN
bracis-33607	120	29	.	.	PUNCT
bracis-33607	121	1	any	any	DET
bracis-33607	121	2	value	value	NOUN
bracis-33607	121	3	between	between	ADP
bracis-33607	121	4	0	0	NUM
bracis-33607	121	5	and	and	CCONJ
bracis-33607	121	6	1	1	NUM
bracis-33607	121	7	means	mean	VERB
bracis-33607	121	8	the	the	DET
bracis-33607	121	9	algorithm	algorithm	NOUN
bracis-33607	121	10	uses	use	VERB
bracis-33607	121	11	labeled	label	VERB
bracis-33607	121	12	and	and	CCONJ
bracis-33607	121	13	unlabeled	unlabeled	ADJ
bracis-33607	121	14	data	datum	NOUN
bracis-33607	121	15	.	.	PUNCT
bracis-33607	122	1	recall	recall	VERB
bracis-33607	122	2	that	that	PRON
bracis-33607	122	3	in	in	ADP
bracis-33607	122	4	eq	eq	ADP
bracis-33607	122	5	.	.	PUNCT
bracis-33607	122	6	 	 	SPACE
bracis-33607	122	7	1	1	NUM
bracis-33607	122	8	,	,	PUNCT
bracis-33607	122	9	the	the	DET
bracis-33607	122	10	whole	whole	ADJ
bracis-33607	122	11	dataset	dataset	NOUN
bracis-33607	122	12	e	e	NOUN
bracis-33607	122	13	is	be	AUX
bracis-33607	122	14	considered	consider	VERB
bracis-33607	122	15	an	an	DET
bracis-33607	122	16	unsupervised	unsupervised	ADJ
bracis-33607	122	17	dataset	dataset	NOUN
bracis-33607	122	18	since	since	SCONJ
bracis-33607	122	19	,	,	PUNCT
bracis-33607	122	20	regardless	regardless	ADV
bracis-33607	122	21	of	of	ADP
bracis-33607	122	22	the	the	DET
bracis-33607	122	23	instances	instance	NOUN
bracis-33607	122	24	being	be	AUX
bracis-33607	122	25	labeled	label	VERB
bracis-33607	122	26	or	or	CCONJ
bracis-33607	122	27	not	not	PART
bracis-33607	122	28	,	,	PUNCT
bracis-33607	122	29	the	the	DET
bracis-33607	122	30	unsupervised	unsupervised	ADJ
bracis-33607	122	31	part	part	NOUN
bracis-33607	122	32	of	of	ADP
bracis-33607	122	33	the	the	DET
bracis-33607	122	34	equation	equation	NOUN
bracis-33607	122	35	uses	use	VERB
bracis-33607	122	36	only	only	ADV
bracis-33607	122	37	descriptive	descriptive	ADJ
bracis-33607	122	38	features	feature	NOUN
bracis-33607	122	39	to	to	PART
bracis-33607	122	40	search	search	VERB
bracis-33607	122	41	for	for	ADP
bracis-33607	122	42	the	the	DET
bracis-33607	122	43	best	good	ADJ
bracis-33607	122	44	split	split	NOUN
bracis-33607	122	45	.	.	PUNCT
bracis-33607	123	1	what	what	PRON
bracis-33607	123	2	changes	change	NOUN
bracis-33607	123	3	is	be	AUX
bracis-33607	123	4	the	the	DET
bracis-33607	123	5	weight	weight	NOUN
bracis-33607	123	6	of	of	ADP
bracis-33607	123	7	the	the	DET
bracis-33607	123	8	supervision	supervision	NOUN
bracis-33607	123	9	employed	employ	VERB
bracis-33607	123	10	during	during	ADP
bracis-33607	123	11	 	 	SPACE
bracis-33607	123	12	induction	induction	NOUN
bracis-33607	123	13	.	.	PUNCT
bracis-33607	124	1	one	one	NUM
bracis-33607	124	2	of	of	ADP
bracis-33607	124	3	our	our	PRON
bracis-33607	124	4	method	method	NOUN
bracis-33607	124	5	’s	’s	PART
bracis-33607	124	6	main	main	ADJ
bracis-33607	124	7	advantages	advantage	NOUN
bracis-33607	124	8	is	be	AUX
bracis-33607	124	9	the	the	DET
bracis-33607	124	10	controlled	control	VERB
bracis-33607	124	11	level	level	NOUN
bracis-33607	124	12	of	of	ADP
bracis-33607	124	13	supervision	supervision	NOUN
bracis-33607	124	14	.	.	PUNCT
bracis-33607	125	1	when	when	SCONJ
bracis-33607	125	2	performing	perform	VERB
bracis-33607	125	3	semi	semi	ADJ
bracis-33607	125	4	-	-	ADJ
bracis-33607	125	5	supervised	supervised	ADJ
bracis-33607	125	6	learning	learning	NOUN
bracis-33607	125	7	,	,	PUNCT
bracis-33607	125	8	the	the	DET
bracis-33607	125	9	unlabeled	unlabeled	ADJ
bracis-33607	125	10	data	datum	NOUN
bracis-33607	125	11	can	can	AUX
bracis-33607	125	12	always	always	ADV
bracis-33607	125	13	negatively	negatively	ADV
bracis-33607	125	14	affect	affect	VERB
bracis-33607	125	15	prediction	prediction	NOUN
bracis-33607	125	16	performance	performance	NOUN
bracis-33607	125	17	.	.	PUNCT
bracis-33607	126	1	by	by	ADP
bracis-33607	126	2	adapting	adapt	VERB
bracis-33607	126	3	the	the	DET
bracis-33607	126	4	level	level	NOUN
bracis-33607	126	5	of	of	ADP
bracis-33607	126	6	supervision	supervision	NOUN
bracis-33607	126	7	,	,	PUNCT
bracis-33607	126	8	we	we	PRON
bracis-33607	126	9	can	can	AUX
bracis-33607	126	10	guarantee	guarantee	VERB
bracis-33607	126	11	that	that	SCONJ
bracis-33607	126	12	our	our	PRON
bracis-33607	126	13	ssl	ssl	ADJ
bracis-33607	126	14	-	-	ADJ
bracis-33607	126	15	pct	pct	NOUN
bracis-33607	126	16	achieves	achieve	VERB
bracis-33607	126	17	better	well	ADV
bracis-33607	126	18	or	or	CCONJ
bracis-33607	126	19	equal	equal	ADJ
bracis-33607	126	20	prediction	prediction	NOUN
bracis-33607	126	21	performance	performance	NOUN
bracis-33607	126	22	compared	compare	VERB
bracis-33607	126	23	to	to	ADP
bracis-33607	126	24	its	its	PRON
bracis-33607	126	25	supervised	supervised	ADJ
bracis-33607	126	26	counterpart	counterpart	NOUN
bracis-33607	126	27	.	.	PUNCT
bracis-33607	127	1	the	the	DET
bracis-33607	127	2	main	main	ADJ
bracis-33607	127	3	impurity	impurity	NOUN
bracis-33607	127	4	measure	measure	NOUN
bracis-33607	127	5	used	use	VERB
bracis-33607	127	6	in	in	ADP
bracis-33607	127	7	the	the	DET
bracis-33607	127	8	original	original	ADJ
bracis-33607	127	9	pct	pct	NOUN
bracis-33607	127	10	algorithm	algorithm	NOUN
bracis-33607	127	11	is	be	AUX
bracis-33607	127	12	the	the	DET
bracis-33607	127	13	gini	gini	PROPN
bracis-33607	127	14	impurity	impurity	NOUN
bracis-33607	127	15	(	(	PUNCT
bracis-33607	127	16	gi	gi	NOUN
bracis-33607	127	17	)	)	PUNCT
bracis-33607	127	18	.	.	PUNCT
bracis-33607	128	1	gi	gi	PROPN
bracis-33607	128	2	is	be	AUX
bracis-33607	128	3	a	a	DET
bracis-33607	128	4	measure	measure	NOUN
bracis-33607	128	5	used	use	VERB
bracis-33607	128	6	in	in	ADP
bracis-33607	128	7	decision	decision	NOUN
bracis-33607	128	8	trees	tree	NOUN
bracis-33607	128	9	to	to	PART
bracis-33607	128	10	calculate	calculate	VERB
bracis-33607	128	11	how	how	SCONJ
bracis-33607	128	12	much	much	ADJ
bracis-33607	128	13	a	a	DET
bracis-33607	128	14	set	set	NOUN
bracis-33607	128	15	of	of	ADP
bracis-33607	128	16	instances	instance	NOUN
bracis-33607	128	17	in	in	ADP
bracis-33607	128	18	a	a	DET
bracis-33607	128	19	node	node	NOUN
bracis-33607	128	20	is	be	AUX
bracis-33607	128	21	pure	pure	ADJ
bracis-33607	128	22	to	to	PART
bracis-33607	128	23	find	find	VERB
bracis-33607	128	24	the	the	DET
bracis-33607	128	25	best	good	ADJ
bracis-33607	128	26	split	split	NOUN
bracis-33607	128	27	.	.	PUNCT
bracis-33607	129	1	gi	gi	NOUN
bracis-33607	129	2	can	can	AUX
bracis-33607	129	3	be	be	AUX
bracis-33607	129	4	calculated	calculate	VERB
bracis-33607	129	5	for	for	ADP
bracis-33607	129	6	a	a	DET
bracis-33607	129	7	set	set	NOUN
bracis-33607	129	8	of	of	ADP
bracis-33607	129	9	data	datum	NOUN
bracis-33607	129	10	e	e	NOUN
bracis-33607	129	11	and	and	CCONJ
bracis-33607	129	12	a	a	DET
bracis-33607	129	13	specific	specific	ADJ
bracis-33607	129	14	label	label	NOUN
bracis-33607	129	15	y	y	NOUN
bracis-33607	129	16	according	accord	VERB
bracis-33607	129	17	to	to	ADP
bracis-33607	129	18	eq	eq	PROPN
bracis-33607	129	19	.	.	PUNCT
bracis-33607	129	20	 	 	SPACE
bracis-33607	130	1	2	2	NUM
bracis-33607	130	2	.	.	X
bracis-33607	130	3	$	$	SYM
bracis-33607	130	4	$	$	SYM
bracis-33607	130	5	\begin{aligned	\begin{aligne	VERB
bracis-33607	130	6	}	}	PUNCT
bracis-33607	130	7	\text	\text	ADP
bracis-33607	130	8	{	{	PUNCT
bracis-33607	130	9	gini(}e	gini(}e	NOUN
bracis-33607	130	10	,	,	PUNCT
bracis-33607	130	11	y	y	PROPN
bracis-33607	130	12	)	)	PUNCT
bracis-33607	130	13	=	=	SYM
bracis-33607	130	14	1	1	NUM
bracis-33607	130	15	\sum	\sum	NOUN
bracis-33607	130	16	_	_	PUNCT
bracis-33607	130	17	{	{	PUNCT
bracis-33607	130	18	i=1}^	i=1}^	PROPN
bracis-33607	130	19	{	{	PUNCT
bracis-33607	130	20	c	c	NOUN
bracis-33607	130	21	}	}	PUNCT
bracis-33607	130	22	p_{i}^{2	p_{i}^{2	X
bracis-33607	130	23	}	}	PUNCT
bracis-33607	130	24	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	130	25	(	(	PUNCT
bracis-33607	130	26	2	2	NUM
bracis-33607	130	27	)	)	PUNCT
bracis-33607	130	28	in	in	ADP
bracis-33607	130	29	eq	eq	ADP
bracis-33607	130	30	.	.	PUNCT
bracis-33607	130	31	 	 	SPACE
bracis-33607	130	32	2	2	NUM
bracis-33607	130	33	,	,	PUNCT
bracis-33607	130	34	c	c	PROPN
bracis-33607	130	35	is	be	AUX
bracis-33607	130	36	the	the	DET
bracis-33607	130	37	number	number	NOUN
bracis-33607	130	38	of	of	ADP
bracis-33607	130	39	possible	possible	ADJ
bracis-33607	130	40	values	value	NOUN
bracis-33607	130	41	for	for	ADP
bracis-33607	130	42	the	the	DET
bracis-33607	130	43	label	label	NOUN
bracis-33607	130	44	y.	y.	NOUN
bracis-33607	130	45	as	as	ADP
bracis-33607	130	46	an	an	DET
bracis-33607	130	47	example	example	NOUN
bracis-33607	130	48	,	,	PUNCT
bracis-33607	130	49	in	in	ADP
bracis-33607	130	50	a	a	DET
bracis-33607	130	51	binary	binary	ADJ
bracis-33607	130	52	classification	classification	NOUN
bracis-33607	130	53	,	,	PUNCT
bracis-33607	130	54	\(c	\(c	NOUN
bracis-33607	130	55	=	=	SYM
bracis-33607	130	56	2\	2\	NUM
bracis-33607	130	57	)	)	PUNCT
bracis-33607	130	58	.	.	PUNCT
bracis-33607	131	1	also	also	ADV
bracis-33607	131	2	,	,	PUNCT
bracis-33607	131	3	\(p_i\	\(p_i\	NOUN
bracis-33607	131	4	)	)	PUNCT
bracis-33607	131	5	is	be	AUX
bracis-33607	131	6	the	the	DET
bracis-33607	131	7	a	a	DET
bracis-33607	131	8	priori	priori	ADJ
bracis-33607	131	9	probability	probability	NOUN
bracis-33607	131	10	of	of	ADP
bracis-33607	131	11	 	 	SPACE
bracis-33607	131	12	class	class	NOUN
bracis-33607	131	13	 	 	SPACE
bracis-33607	131	14	\(c_i\	\(c_i\	NOUN
bracis-33607	131	15	)	)	PUNCT
bracis-33607	131	16	.	.	PUNCT
bracis-33607	132	1	since	since	SCONJ
bracis-33607	132	2	we	we	PRON
bracis-33607	132	3	now	now	ADV
bracis-33607	132	4	have	have	AUX
bracis-33607	132	5	labeled	label	VERB
bracis-33607	132	6	and	and	CCONJ
bracis-33607	132	7	unlabeled	unlabele	VERB
bracis-33607	132	8	instances	instance	NOUN
bracis-33607	132	9	,	,	PUNCT
bracis-33607	132	10	we	we	PRON
bracis-33607	132	11	need	need	VERB
bracis-33607	132	12	to	to	PART
bracis-33607	132	13	define	define	VERB
bracis-33607	132	14	the	the	DET
bracis-33607	132	15	impurity	impurity	NOUN
bracis-33607	132	16	calculation	calculation	NOUN
bracis-33607	132	17	in	in	ADP
bracis-33607	132	18	each	each	DET
bracis-33607	132	19	case	case	NOUN
bracis-33607	132	20	.	.	PUNCT
bracis-33607	133	1	the	the	DET
bracis-33607	133	2	impurity	impurity	NOUN
bracis-33607	133	3	over	over	ADP
bracis-33607	133	4	the	the	DET
bracis-33607	133	5	target	target	NOUN
bracis-33607	133	6	features	feature	NOUN
bracis-33607	133	7	(	(	PUNCT
bracis-33607	133	8	labels	label	NOUN
bracis-33607	133	9	)	)	PUNCT
bracis-33607	133	10	is	be	AUX
bracis-33607	133	11	calculated	calculate	VERB
bracis-33607	133	12	using	use	VERB
bracis-33607	133	13	only	only	ADV
bracis-33607	133	14	the	the	DET
bracis-33607	133	15	labeled	label	VERB
bracis-33607	133	16	instances	instance	NOUN
bracis-33607	133	17	(	(	PUNCT
bracis-33607	133	18	\(e_l\	\(e_l\	NOUN
bracis-33607	133	19	)	)	PUNCT
bracis-33607	133	20	)	)	PUNCT
bracis-33607	133	21	.	.	PUNCT
bracis-33607	134	1	it	it	PRON
bracis-33607	134	2	is	be	AUX
bracis-33607	134	3	referred	refer	VERB
bracis-33607	134	4	to	to	ADP
bracis-33607	134	5	as	as	ADP
bracis-33607	134	6	a	a	DET
bracis-33607	134	7	labeled	label	VERB
bracis-33607	134	8	impurity	impurity	NOUN
bracis-33607	134	9	.	.	PUNCT
bracis-33607	135	1	in	in	ADP
bracis-33607	135	2	contrast	contrast	NOUN
bracis-33607	135	3	,	,	PUNCT
bracis-33607	135	4	the	the	DET
bracis-33607	135	5	impurity	impurity	NOUN
bracis-33607	135	6	over	over	ADP
bracis-33607	135	7	the	the	DET
bracis-33607	135	8	descriptive	descriptive	ADJ
bracis-33607	135	9	features	feature	NOUN
bracis-33607	135	10	is	be	AUX
bracis-33607	135	11	calculated	calculate	VERB
bracis-33607	135	12	using	use	VERB
bracis-33607	135	13	all	all	DET
bracis-33607	135	14	the	the	DET
bracis-33607	135	15	labeled	label	VERB
bracis-33607	135	16	and	and	CCONJ
bracis-33607	135	17	unlabeled	unlabeled	ADJ
bracis-33607	135	18	instances	instance	NOUN
bracis-33607	135	19	(	(	PUNCT
bracis-33607	135	20	e	e	NOUN
bracis-33607	135	21	)	)	PUNCT
bracis-33607	135	22	and	and	CCONJ
bracis-33607	135	23	is	be	AUX
bracis-33607	135	24	referred	refer	VERB
bracis-33607	135	25	to	to	ADP
bracis-33607	135	26	as	as	ADP
bracis-33607	135	27	an	an	DET
bracis-33607	135	28	unlabeled	unlabeled	ADJ
bracis-33607	135	29	impurity	impurity	NOUN
bracis-33607	135	30	.	.	PUNCT
bracis-33607	136	1	equation	equation	NOUN
bracis-33607	136	2	 	 	SPACE
bracis-33607	136	3	3	3	NUM
bracis-33607	136	4	presents	present	VERB
bracis-33607	136	5	the	the	DET
bracis-33607	136	6	labeled	label	VERB
bracis-33607	136	7	impurity	impurity	NOUN
bracis-33607	136	8	calculation	calculation	NOUN
bracis-33607	136	9	for	for	ADP
bracis-33607	136	10	a	a	DET
bracis-33607	136	11	node	node	NOUN
bracis-33607	136	12	of	of	ADP
bracis-33607	136	13	our	our	PRON
bracis-33607	136	14	ssl	ssl	ADJ
bracis-33607	136	15	-	-	NOUN
bracis-33607	136	16	pct	pct	NOUN
bracis-33607	136	17	.	.	PUNCT
bracis-33607	137	1	in	in	ADP
bracis-33607	137	2	the	the	DET
bracis-33607	137	3	equation	equation	NOUN
bracis-33607	137	4	,	,	PUNCT
bracis-33607	137	5	\(y_i\	\(y_i\	PROPN
bracis-33607	137	6	)	)	PUNCT
bracis-33607	137	7	is	be	AUX
bracis-33607	137	8	a	a	DET
bracis-33607	137	9	label	label	NOUN
bracis-33607	137	10	,	,	PUNCT
bracis-33607	137	11	\(e_{l}^{train}\	\(e_{l}^{train}\	PROPN
bracis-33607	137	12	)	)	PUNCT
bracis-33607	137	13	represents	represent	VERB
bracis-33607	137	14	the	the	DET
bracis-33607	137	15	whole	whole	ADJ
bracis-33607	137	16	labeled	label	VERB
bracis-33607	137	17	set	set	NOUN
bracis-33607	137	18	of	of	ADP
bracis-33607	137	19	instances	instance	NOUN
bracis-33607	137	20	before	before	ADP
bracis-33607	137	21	the	the	DET
bracis-33607	137	22	root	root	NOUN
bracis-33607	137	23	node	node	NOUN
bracis-33607	137	24	split	split	NOUN
bracis-33607	137	25	,	,	PUNCT
bracis-33607	137	26	and	and	CCONJ
bracis-33607	137	27	\(e_l\	\(e_l\	NOUN
bracis-33607	137	28	)	)	PUNCT
bracis-33607	137	29	is	be	AUX
bracis-33607	137	30	a	a	DET
bracis-33607	137	31	subset	subset	NOUN
bracis-33607	137	32	of	of	ADP
bracis-33607	137	33	instances	instance	NOUN
bracis-33607	137	34	resulting	result	VERB
bracis-33607	137	35	after	after	ADP
bracis-33607	137	36	the	the	DET
bracis-33607	137	37	root	root	NOUN
bracis-33607	137	38	node	node	NOUN
bracis-33607	137	39	split	split	NOUN
bracis-33607	137	40	.	.	PUNCT
bracis-33607	138	1	$	$	SYM
bracis-33607	138	2	$	$	SYM
bracis-33607	138	3	\begin{aligned	\begin{aligne	VERB
bracis-33607	138	4	}	}	PUNCT
bracis-33607	138	5	\text	\text	ADP
bracis-33607	138	6	{	{	PUNCT
bracis-33607	138	7	impurity(}e_l	impurity(}e_l	PROPN
bracis-33607	138	8	,	,	PUNCT
bracis-33607	138	9	y_i\text	y_i\text	PROPN
bracis-33607	138	10	{	{	PUNCT
bracis-33607	138	11	)	)	PUNCT
bracis-33607	138	12	}	}	PUNCT
bracis-33607	138	13	=	=	SYM
bracis-33607	138	14	\frac{\text	\frac{\text	X
bracis-33607	138	15	{	{	PUNCT
bracis-33607	138	16	gini}(e_l	gini}(e_l	PROPN
bracis-33607	138	17	,	,	PUNCT
bracis-33607	138	18	y_i)}{\text	y_i)}{\text	INTJ
bracis-33607	138	19	{	{	PUNCT
bracis-33607	138	20	gini}(e_l^{train	gini}(e_l^{train	NOUN
bracis-33607	138	21	}	}	PUNCT
bracis-33607	138	22	,	,	PUNCT
bracis-33607	138	23	y_i	y_i	PROPN
bracis-33607	138	24	)	)	PUNCT
bracis-33607	138	25	}	}	PUNCT
bracis-33607	138	26	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	138	27	(	(	PUNCT
bracis-33607	138	28	3	3	X
bracis-33607	138	29	)	)	PUNCT
bracis-33607	138	30	the	the	DET
bracis-33607	138	31	unlabeled	unlabeled	ADJ
bracis-33607	138	32	impurity	impurity	NOUN
bracis-33607	138	33	is	be	AUX
bracis-33607	138	34	calculated	calculate	VERB
bracis-33607	138	35	over	over	ADP
bracis-33607	138	36	the	the	DET
bracis-33607	138	37	descriptive	descriptive	ADJ
bracis-33607	138	38	features	feature	NOUN
bracis-33607	138	39	,	,	PUNCT
bracis-33607	138	40	which	which	PRON
bracis-33607	138	41	,	,	PUNCT
bracis-33607	138	42	differently	differently	ADV
bracis-33607	138	43	from	from	ADP
bracis-33607	138	44	the	the	DET
bracis-33607	138	45	labels	label	NOUN
bracis-33607	138	46	,	,	PUNCT
bracis-33607	138	47	can	can	AUX
bracis-33607	138	48	assume	assume	VERB
bracis-33607	138	49	numeric	numeric	ADJ
bracis-33607	138	50	or	or	CCONJ
bracis-33607	138	51	categorical	categorical	ADJ
bracis-33607	138	52	values	value	NOUN
bracis-33607	138	53	.	.	PUNCT
bracis-33607	139	1	thus	thus	ADV
bracis-33607	139	2	,	,	PUNCT
bracis-33607	139	3	we	we	PRON
bracis-33607	139	4	need	need	VERB
bracis-33607	139	5	to	to	PART
bracis-33607	139	6	define	define	VERB
bracis-33607	139	7	an	an	DET
bracis-33607	139	8	impurity	impurity	NOUN
bracis-33607	139	9	for	for	ADP
bracis-33607	139	10	each	each	DET
bracis-33607	139	11	case	case	NOUN
bracis-33607	139	12	.	.	PUNCT
bracis-33607	140	1	the	the	DET
bracis-33607	140	2	unlabeled	unlabele	VERB
bracis-33607	140	3	impurities	impurity	NOUN
bracis-33607	140	4	for	for	ADP
bracis-33607	140	5	a	a	DET
bracis-33607	140	6	dataset	dataset	NOUN
bracis-33607	140	7	e	e	NOUN
bracis-33607	140	8	over	over	ADP
bracis-33607	140	9	categorical	categorical	ADJ
bracis-33607	140	10	and	and	CCONJ
bracis-33607	140	11	numeric	numeric	ADJ
bracis-33607	140	12	descriptive	descriptive	ADJ
bracis-33607	140	13	feature	feature	NOUN
bracis-33607	140	14	\(x_i\	\(x_i\	NOUN
bracis-33607	140	15	)	)	PUNCT
bracis-33607	140	16	are	be	AUX
bracis-33607	140	17	calculated	calculate	VERB
bracis-33607	140	18	according	accord	VERB
bracis-33607	140	19	to	to	ADP
bracis-33607	140	20	eqs	eqs	PROPN
bracis-33607	140	21	.	.	PUNCT
bracis-33607	140	22	 	 	SPACE
bracis-33607	140	23	4	4	NUM
bracis-33607	140	24	 	 	SPACE
bracis-33607	140	25	and	and	CCONJ
bracis-33607	140	26	 	 	SPACE
bracis-33607	140	27	5	5	NUM
bracis-33607	140	28	.	.	PUNCT
bracis-33607	140	29	$	$	SYM
bracis-33607	140	30	$	$	SYM
bracis-33607	140	31	\begin{aligned	\begin{aligne	VERB
bracis-33607	140	32	}	}	PUNCT
bracis-33607	140	33	\underbrace{\text	\underbrace{\text	X
bracis-33607	140	34	{	{	PUNCT
bracis-33607	140	35	impurity(}e	impurity(}e	PROPN
bracis-33607	140	36	,	,	PUNCT
bracis-33607	140	37	x_i\text	x_i\text	PROPN
bracis-33607	140	38	{	{	PUNCT
bracis-33607	140	39	)	)	PUNCT
bracis-33607	140	40	}	}	PUNCT
bracis-33607	140	41	=	=	PUNCT
bracis-33607	140	42	\frac{\text	\frac{\text	X
bracis-33607	140	43	{	{	PUNCT
bracis-33607	140	44	gini}(e	gini}(e	PROPN
bracis-33607	140	45	,	,	PUNCT
bracis-33607	140	46	x_i)}{\text	x_i)}{\text	PROPN
bracis-33607	140	47	{	{	PUNCT
bracis-33607	140	48	gini}(e^{train	gini}(e^{train	NOUN
bracis-33607	140	49	}	}	PUNCT
bracis-33607	140	50	,	,	PUNCT
bracis-33607	140	51	x_i)}}_{\text	x_i)}}_{\text	PROPN
bracis-33607	140	52	{	{	PUNCT
bracis-33607	140	53	for	for	ADP
bracis-33607	140	54	categorical	categorical	ADJ
bracis-33607	140	55	features	feature	NOUN
bracis-33607	140	56	}	}	PUNCT
bracis-33607	140	57	}	}	PUNCT
bracis-33607	140	58	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	140	59	(	(	PUNCT
bracis-33607	140	60	4	4	NUM
bracis-33607	140	61	)	)	PUNCT
bracis-33607	140	62	$	$	SYM
bracis-33607	140	63	$	$	SYM
bracis-33607	140	64	\begin{aligned	\begin{aligne	VERB
bracis-33607	140	65	}	}	PUNCT
bracis-33607	140	66	\underbrace{\text	\underbrace{\text	X
bracis-33607	140	67	{	{	PUNCT
bracis-33607	140	68	impurity(}e	impurity(}e	PROPN
bracis-33607	140	69	,	,	PUNCT
bracis-33607	140	70	x_i\text	x_i\text	PROPN
bracis-33607	140	71	{	{	PUNCT
bracis-33607	140	72	)	)	PUNCT
bracis-33607	140	73	}	}	PUNCT
bracis-33607	140	74	=	=	PUNCT
bracis-33607	140	75	\frac{\text	\frac{\text	X
bracis-33607	140	76	{	{	PUNCT
bracis-33607	140	77	var}(e	var}(e	PROPN
bracis-33607	140	78	,	,	PUNCT
bracis-33607	140	79	x_i)}{\text	x_i)}{\text	PROPN
bracis-33607	140	80	{	{	PUNCT
bracis-33607	140	81	var}(e^{train	var}(e^{train	PROPN
bracis-33607	140	82	}	}	PUNCT
bracis-33607	140	83	,	,	PUNCT
bracis-33607	140	84	x_i)}}_{\text	x_i)}}_{\text	PROPN
bracis-33607	140	85	{	{	PUNCT
bracis-33607	140	86	for	for	ADP
bracis-33607	140	87	numeric	numeric	ADJ
bracis-33607	140	88	features	feature	NOUN
bracis-33607	140	89	}	}	PUNCT
bracis-33607	140	90	}	}	PUNCT
bracis-33607	140	91	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	140	92	(	(	PUNCT
bracis-33607	140	93	5	5	NUM
bracis-33607	140	94	)	)	PUNCT
bracis-33607	140	95	the	the	DET
bracis-33607	140	96	variance	variance	NOUN
bracis-33607	140	97	of	of	ADP
bracis-33607	140	98	the	the	DET
bracis-33607	140	99	\(i^{th}\	\(i^{th}\	NOUN
bracis-33607	140	100	)	)	PUNCT
bracis-33607	140	101	feature	feature	NOUN
bracis-33607	140	102	in	in	ADP
bracis-33607	140	103	the	the	DET
bracis-33607	140	104	set	set	NOUN
bracis-33607	140	105	e	e	NOUN
bracis-33607	140	106	over	over	ADP
bracis-33607	140	107	the	the	DET
bracis-33607	140	108	descriptive	descriptive	ADJ
bracis-33607	140	109	feature	feature	NOUN
bracis-33607	140	110	\(x_i\	\(x_i\	NOUN
bracis-33607	140	111	)	)	PUNCT
bracis-33607	140	112	is	be	AUX
bracis-33607	140	113	calculated	calculate	VERB
bracis-33607	140	114	according	accord	VERB
bracis-33607	140	115	to	to	ADP
bracis-33607	140	116	eq	eq	PROPN
bracis-33607	140	117	.	.	PUNCT
bracis-33607	140	118	 	 	SPACE
bracis-33607	140	119	6	6	NUM
bracis-33607	140	120	.	.	PUNCT
bracis-33607	140	121	$	$	SYM
bracis-33607	140	122	$	$	SYM
bracis-33607	140	123	\begin{aligned	\begin{aligne	VERB
bracis-33607	140	124	}	}	PUNCT
bracis-33607	140	125	\text	\text	ADV
bracis-33607	140	126	{	{	PUNCT
bracis-33607	140	127	var}(e	var}(e	INTJ
bracis-33607	140	128	,	,	PUNCT
bracis-33607	140	129	x_i	x_i	PUNCT
bracis-33607	140	130	)	)	PUNCT
bracis-33607	141	1	=	=	VERB
bracis-33607	141	2	\frac{\sum	\frac{\sum	VERB
bracis-33607	141	3	_	_	PRON
bracis-33607	141	4	{	{	PUNCT
bracis-33607	141	5	j=1}^	j=1}^	PROPN
bracis-33607	141	6	{	{	PUNCT
bracis-33607	141	7	n}(x_{i}^{j})^{2	n}(x_{i}^{j})^{2	PROPN
bracis-33607	141	8	}	}	PUNCT
bracis-33607	141	9	\frac{1}{n	\frac{1}{n	NOUN
bracis-33607	141	10	}	}	PUNCT
bracis-33607	141	11	.	.	PUNCT
bracis-33607	142	1	(	(	PUNCT
bracis-33607	142	2	\sum	\sum	NOUN
bracis-33607	142	3	_	_	PUNCT
bracis-33607	142	4	{	{	PUNCT
bracis-33607	142	5	j=1}^	j=1}^	PROPN
bracis-33607	142	6	{	{	PUNCT
bracis-33607	142	7	n	n	CCONJ
bracis-33607	142	8	}	}	PUNCT
bracis-33607	142	9	x_{i}^{j})^{2}}{n	x_{i}^{j})^{2}}{n	PROPN
bracis-33607	142	10	}	}	PUNCT
bracis-33607	142	11	\end{aligned}$$	\end{aligned}$$	X
bracis-33607	142	12	(	(	PUNCT
bracis-33607	142	13	6	6	NUM
bracis-33607	142	14	)	)	PUNCT
bracis-33607	142	15	after	after	ADP
bracis-33607	142	16	modifying	modify	VERB
bracis-33607	142	17	the	the	DET
bracis-33607	142	18	impurity	impurity	NOUN
bracis-33607	142	19	calculations	calculation	NOUN
bracis-33607	142	20	,	,	PUNCT
bracis-33607	142	21	our	our	PRON
bracis-33607	142	22	proposed	propose	VERB
bracis-33607	142	23	ssl	ssl	ADJ
bracis-33607	142	24	-	-	NOUN
bracis-33607	142	25	pct	pct	NOUN
bracis-33607	142	26	can	can	AUX
bracis-33607	142	27	now	now	ADV
bracis-33607	142	28	handle	handle	VERB
bracis-33607	142	29	datasets	dataset	NOUN
bracis-33607	142	30	containing	contain	VERB
bracis-33607	142	31	labeled	label	VERB
bracis-33607	142	32	and	and	CCONJ
bracis-33607	142	33	unlabeled	unlabeled	ADJ
bracis-33607	142	34	instances	instance	NOUN
bracis-33607	142	35	,	,	PUNCT
bracis-33607	142	36	exploiting	exploit	VERB
bracis-33607	142	37	them	they	PRON
bracis-33607	142	38	according	accord	VERB
bracis-33607	142	39	to	to	ADP
bracis-33607	142	40	the	the	DET
bracis-33607	142	41	\(\omega	\(\omega	X
bracis-33607	142	42	\	\	NOUN
bracis-33607	142	43	)	)	PUNCT
bracis-33607	142	44	weight	weight	NOUN
bracis-33607	142	45	hyperparameter	hyperparameter	NOUN
bracis-33607	142	46	.	.	PUNCT
bracis-33607	143	1	4	4	NUM
bracis-33607	143	2	methodology	methodology	NOUN
bracis-33607	143	3	this	this	DET
bracis-33607	143	4	section	section	NOUN
bracis-33607	143	5	presents	present	VERB
bracis-33607	143	6	experiments	experiment	NOUN
bracis-33607	143	7	,	,	PUNCT
bracis-33607	143	8	software	software	NOUN
bracis-33607	143	9	,	,	PUNCT
bracis-33607	143	10	datasets	dataset	NOUN
bracis-33607	143	11	,	,	PUNCT
bracis-33607	143	12	and	and	CCONJ
bracis-33607	143	13	evaluation	evaluation	NOUN
bracis-33607	143	14	measures	measure	NOUN
bracis-33607	143	15	.	.	PUNCT
bracis-33607	144	1	table	table	NOUN
bracis-33607	144	2	2	2	NUM
bracis-33607	144	3	.	.	PUNCT
bracis-33607	145	1	characteristics	characteristic	NOUN
bracis-33607	145	2	of	of	ADP
bracis-33607	145	3	the	the	DET
bracis-33607	145	4	datasets	dataset	NOUN
bracis-33607	145	5	used	use	VERB
bracis-33607	145	6	in	in	ADP
bracis-33607	145	7	the	the	DET
bracis-33607	145	8	experimentsfull	experimentsfull	ADJ
bracis-33607	145	9	size	size	NOUN
bracis-33607	145	10	table	table	NOUN
bracis-33607	145	11	4.1	4.1	NUM
bracis-33607	145	12	clus	clus	NOUN
bracis-33607	145	13	clus	clus	NOUN
bracis-33607	145	14	is	be	AUX
bracis-33607	145	15	an	an	DET
bracis-33607	145	16	open	open	ADJ
bracis-33607	145	17	-	-	PUNCT
bracis-33607	145	18	source	source	NOUN
bracis-33607	145	19	decision	decision	NOUN
bracis-33607	145	20	tree	tree	NOUN
bracis-33607	145	21	and	and	CCONJ
bracis-33607	145	22	rules	rule	VERB
bracis-33607	145	23	learning	learn	VERB
bracis-33607	145	24	system	system	NOUN
bracis-33607	145	25	that	that	PRON
bracis-33607	145	26	implements	implement	VERB
bracis-33607	145	27	the	the	DET
bracis-33607	145	28	predictive	predictive	ADJ
bracis-33607	145	29	clustering	clustering	ADJ
bracis-33607	145	30	framework	framework	NOUN
bracis-33607	145	31	 	 	SPACE
bracis-33607	146	1	[	[	X
bracis-33607	146	2	3	3	NUM
bracis-33607	146	3	]	]	PUNCT
bracis-33607	146	4	.	.	PUNCT
bracis-33607	147	1	it	it	PRON
bracis-33607	147	2	generalizes	generalize	VERB
bracis-33607	147	3	the	the	DET
bracis-33607	147	4	decision	decision	NOUN
bracis-33607	147	5	tree	tree	NOUN
bracis-33607	147	6	concept	concept	NOUN
bracis-33607	147	7	by	by	ADP
bracis-33607	147	8	learning	learn	VERB
bracis-33607	147	9	trees	tree	NOUN
bracis-33607	147	10	interpreted	interpret	VERB
bracis-33607	147	11	as	as	ADP
bracis-33607	147	12	cluster	cluster	NOUN
bracis-33607	147	13	hierarchies	hierarchy	NOUN
bracis-33607	147	14	,	,	PUNCT
bracis-33607	147	15	called	call	VERB
bracis-33607	147	16	pcts	pct	NOUN
bracis-33607	147	17	.	.	PUNCT
bracis-33607	148	1	to	to	PART
bracis-33607	148	2	create	create	VERB
bracis-33607	148	3	a	a	DET
bracis-33607	148	4	cluster	cluster	NOUN
bracis-33607	148	5	during	during	ADP
bracis-33607	148	6	induction	induction	NOUN
bracis-33607	148	7	,	,	PUNCT
bracis-33607	148	8	clus	clus	NOUN
bracis-33607	148	9	can	can	AUX
bracis-33607	148	10	be	be	AUX
bracis-33607	148	11	optimized	optimize	VERB
bracis-33607	148	12	using	use	VERB
bracis-33607	148	13	different	different	ADJ
bracis-33607	148	14	heuristics	heuristic	NOUN
bracis-33607	148	15	to	to	PART
bracis-33607	148	16	choose	choose	VERB
bracis-33607	148	17	the	the	DET
bracis-33607	148	18	best	good	ADJ
bracis-33607	148	19	split	split	NOUN
bracis-33607	148	20	in	in	ADP
bracis-33607	148	21	each	each	DET
bracis-33607	148	22	internal	internal	ADJ
bracis-33607	148	23	node	node	NOUN
bracis-33607	148	24	,	,	PUNCT
bracis-33607	148	25	improving	improve	VERB
bracis-33607	148	26	prediction	prediction	NOUN
bracis-33607	148	27	performance	performance	NOUN
bracis-33607	148	28	.	.	PUNCT
bracis-33607	149	1	in	in	ADP
bracis-33607	149	2	this	this	DET
bracis-33607	149	3	work	work	NOUN
bracis-33607	149	4	,	,	PUNCT
bracis-33607	149	5	we	we	PRON
bracis-33607	149	6	used	use	VERB
bracis-33607	149	7	the	the	DET
bracis-33607	149	8	implementation	implementation	NOUN
bracis-33607	149	9	provided	provide	VERB
bracis-33607	149	10	by	by	ADP
bracis-33607	149	11	vens	vens	PROPN
bracis-33607	149	12	et	et	PROPN
bracis-33607	149	13	al	al	PROPN
bracis-33607	149	14	.	.	PUNCT
bracis-33607	149	15	 	 	SPACE
bracis-33607	150	1	[	[	X
bracis-33607	150	2	32	32	NUM
bracis-33607	150	3	]	]	PUNCT
bracis-33607	150	4	,	,	PUNCT
bracis-33607	150	5	modifying	modify	VERB
bracis-33607	150	6	it	it	PRON
bracis-33607	150	7	to	to	PART
bracis-33607	150	8	use	use	VERB
bracis-33607	150	9	our	our	PRON
bracis-33607	150	10	proposed	propose	VERB
bracis-33607	150	11	semi	semi	ADJ
bracis-33607	150	12	-	-	ADJ
bracis-33607	150	13	supervised	supervised	ADJ
bracis-33607	150	14	impurity	impurity	NOUN
bracis-33607	150	15	function	function	NOUN
bracis-33607	150	16	.	.	PUNCT
bracis-33607	151	1	all	all	DET
bracis-33607	151	2	implementations	implementation	NOUN
bracis-33607	151	3	and	and	CCONJ
bracis-33607	151	4	experiments	experiment	NOUN
bracis-33607	151	5	were	be	AUX
bracis-33607	151	6	performed	perform	VERB
bracis-33607	151	7	using	use	VERB
bracis-33607	151	8	the	the	DET
bracis-33607	151	9	java	java	PROPN
bracis-33607	151	10	program	program	NOUN
bracis-33607	151	11	language	language	NOUN
bracis-33607	151	12	.	.	PUNCT
bracis-33607	152	1	4.2	4.2	NUM
bracis-33607	152	2	datasets	dataset	NOUN
bracis-33607	152	3	uniprot	uniprot	ADJ
bracis-33607	152	4	knowledge	knowledge	NOUN
bracis-33607	152	5	base	base	NOUN
bracis-33607	152	6	(	(	PUNCT
bracis-33607	152	7	uniprotkb	uniprotkb	NOUN
bracis-33607	152	8	)	)	PUNCT
bracis-33607	152	9	 	 	SPACE
bracis-33607	153	1	[	[	X
bracis-33607	153	2	28	28	NUM
bracis-33607	153	3	]	]	X
bracis-33607	153	4	is	be	AUX
bracis-33607	153	5	an	an	DET
bracis-33607	153	6	expertly	expertly	ADV
bracis-33607	153	7	curated	curate	VERB
bracis-33607	153	8	database	database	NOUN
bracis-33607	153	9	,	,	PUNCT
bracis-33607	153	10	acting	act	VERB
bracis-33607	153	11	as	as	ADP
bracis-33607	153	12	a	a	DET
bracis-33607	153	13	central	central	ADJ
bracis-33607	153	14	access	access	NOUN
bracis-33607	153	15	point	point	NOUN
bracis-33607	153	16	for	for	ADP
bracis-33607	153	17	integrated	integrate	VERB
bracis-33607	153	18	protein	protein	NOUN
bracis-33607	153	19	information	information	NOUN
bracis-33607	153	20	with	with	ADP
bracis-33607	153	21	cross	cros	NOUN
bracis-33607	153	22	-	-	NOUN
bracis-33607	153	23	references	reference	NOUN
bracis-33607	153	24	to	to	ADP
bracis-33607	153	25	multiple	multiple	ADJ
bracis-33607	153	26	sources	source	NOUN
bracis-33607	153	27	.	.	PUNCT
bracis-33607	154	1	the	the	DET
bracis-33607	154	2	knowledge	knowledge	NOUN
bracis-33607	154	3	base	base	NOUN
bracis-33607	154	4	consists	consist	VERB
bracis-33607	154	5	of	of	ADP
bracis-33607	154	6	uniprotkb	uniprotkb	NOUN
bracis-33607	154	7	/	/	SYM
bracis-33607	154	8	swissprot	swissprot	NOUN
bracis-33607	154	9	and	and	CCONJ
bracis-33607	154	10	uniprotkb	uniprotkb	NOUN
bracis-33607	154	11	/	/	SYM
bracis-33607	154	12	trembl	trembl	NOUN
bracis-33607	154	13	.	.	PUNCT
bracis-33607	155	1	the	the	DET
bracis-33607	155	2	former	former	ADJ
bracis-33607	155	3	contains	contain	VERB
bracis-33607	155	4	manual	manual	ADJ
bracis-33607	155	5	and	and	CCONJ
bracis-33607	155	6	high	high	ADJ
bracis-33607	155	7	-	-	PUNCT
bracis-33607	155	8	quality	quality	NOUN
bracis-33607	155	9	annotations	annotation	NOUN
bracis-33607	155	10	with	with	ADP
bracis-33607	155	11	information	information	NOUN
bracis-33607	155	12	extracted	extract	VERB
bracis-33607	155	13	from	from	ADP
bracis-33607	155	14	literature	literature	NOUN
bracis-33607	155	15	and	and	CCONJ
bracis-33607	155	16	curator	curator	NOUN
bracis-33607	155	17	-	-	PUNCT
bracis-33607	155	18	evaluated	evaluate	VERB
bracis-33607	155	19	computational	computational	ADJ
bracis-33607	155	20	analysis	analysis	NOUN
bracis-33607	155	21	.	.	PUNCT
bracis-33607	156	1	the	the	DET
bracis-33607	156	2	latter	latter	ADJ
bracis-33607	156	3	contains	contain	VERB
bracis-33607	156	4	computationally	computationally	ADV
bracis-33607	156	5	analyzed	analyze	VERB
bracis-33607	156	6	records	record	NOUN
bracis-33607	156	7	enriched	enrich	VERB
bracis-33607	156	8	with	with	ADP
bracis-33607	156	9	automatic	automatic	ADJ
bracis-33607	156	10	annotation	annotation	NOUN
bracis-33607	156	11	and	and	CCONJ
bracis-33607	156	12	classification	classification	NOUN
bracis-33607	156	13	.	.	PUNCT
bracis-33607	157	1	we	we	PRON
bracis-33607	157	2	extracted	extract	VERB
bracis-33607	157	3	three	three	NUM
bracis-33607	157	4	uniprotkb	uniprotkb	ADJ
bracis-33607	157	5	datasets	dataset	NOUN
bracis-33607	157	6	:	:	PUNCT
bracis-33607	157	7	viruses	virus	NOUN
bracis-33607	157	8	,	,	PUNCT
bracis-33607	157	9	plants	plant	NOUN
bracis-33607	157	10	,	,	PUNCT
bracis-33607	157	11	and	and	CCONJ
bracis-33607	157	12	fungi	fungus	NOUN
bracis-33607	157	13	.	.	PUNCT
bracis-33607	158	1	we	we	PRON
bracis-33607	158	2	used	use	VERB
bracis-33607	158	3	data	datum	NOUN
bracis-33607	158	4	extracted	extract	VERB
bracis-33607	158	5	from	from	ADP
bracis-33607	158	6	the	the	DET
bracis-33607	158	7	uniprotkb	uniprotkb	NOUN
bracis-33607	158	8	/	/	SYM
bracis-33607	158	9	swiss	swiss	ADJ
bracis-33607	158	10	-	-	PUNCT
bracis-33607	158	11	prot	prot	NOUN
bracis-33607	158	12	2021_03	2021_03	NUM
bracis-33607	158	13	version	version	NOUN
bracis-33607	158	14	.	.	PUNCT
bracis-33607	159	1	we	we	PRON
bracis-33607	159	2	used	use	VERB
bracis-33607	159	3	gene	gene	NOUN
bracis-33607	159	4	ontology	ontology	NOUN
bracis-33607	159	5	(	(	PUNCT
bracis-33607	159	6	go	go	VERB
bracis-33607	159	7	)	)	PUNCT
bracis-33607	159	8	 	 	SPACE
bracis-33607	160	1	[	[	X
bracis-33607	160	2	13	13	NUM
bracis-33607	160	3	]	]	PUNCT
bracis-33607	160	4	terms	term	NOUN
bracis-33607	160	5	as	as	ADP
bracis-33607	160	6	features	feature	NOUN
bracis-33607	160	7	for	for	ADP
bracis-33607	160	8	each	each	DET
bracis-33607	160	9	protein	protein	NOUN
bracis-33607	160	10	.	.	PUNCT
bracis-33607	161	1	we	we	PRON
bracis-33607	161	2	extracted	extract	VERB
bracis-33607	161	3	go	go	NOUN
bracis-33607	161	4	terms	term	NOUN
bracis-33607	161	5	associated	associate	VERB
bracis-33607	161	6	with	with	ADP
bracis-33607	161	7	each	each	DET
bracis-33607	161	8	protein	protein	NOUN
bracis-33607	161	9	from	from	ADP
bracis-33607	161	10	the	the	DET
bracis-33607	161	11	uniprot	uniprot	ADJ
bracis-33607	161	12	-	-	PUNCT
bracis-33607	161	13	goa	goa	NOUN
bracis-33607	161	14	 	 	SPACE
bracis-33607	162	1	[	[	X
bracis-33607	162	2	15	15	NUM
bracis-33607	162	3	]	]	NOUN
bracis-33607	162	4	 	 	SPACE
bracis-33607	162	5	database	database	NOUN
bracis-33607	162	6	.	.	PUNCT
bracis-33607	163	1	the	the	DET
bracis-33607	163	2	go	go	NOUN
bracis-33607	163	3	is	be	AUX
bracis-33607	163	4	a	a	DET
bracis-33607	163	5	set	set	NOUN
bracis-33607	163	6	of	of	ADP
bracis-33607	163	7	defined	define	VERB
bracis-33607	163	8	vocabularies	vocabulary	NOUN
bracis-33607	163	9	and	and	CCONJ
bracis-33607	163	10	terms	term	NOUN
bracis-33607	163	11	representing	represent	VERB
bracis-33607	163	12	gene	gene	NOUN
bracis-33607	163	13	functions	function	NOUN
bracis-33607	163	14	and	and	CCONJ
bracis-33607	163	15	products	product	NOUN
bracis-33607	163	16	across	across	ADP
bracis-33607	163	17	different	different	ADJ
bracis-33607	163	18	species	specie	NOUN
bracis-33607	163	19	.	.	PUNCT
bracis-33607	164	1	two	two	NUM
bracis-33607	164	2	strategies	strategy	NOUN
bracis-33607	164	3	were	be	AUX
bracis-33607	164	4	used	use	VERB
bracis-33607	164	5	to	to	PART
bracis-33607	164	6	construct	construct	VERB
bracis-33607	164	7	feature	feature	NOUN
bracis-33607	164	8	vectors	vector	NOUN
bracis-33607	164	9	:	:	PUNCT
bracis-33607	164	10	1	1	NUM
bracis-33607	164	11	and	and	CCONJ
bracis-33607	164	12	0	0	NUM
bracis-33607	164	13	values	value	NOUN
bracis-33607	164	14	to	to	PART
bracis-33607	164	15	indicate	indicate	VERB
bracis-33607	164	16	the	the	DET
bracis-33607	164	17	presence	presence	NOUN
bracis-33607	164	18	or	or	CCONJ
bracis-33607	164	19	absence	absence	NOUN
bracis-33607	164	20	of	of	ADP
bracis-33607	164	21	go	go	VERB
bracis-33607	164	22	terms	term	NOUN
bracis-33607	164	23	and	and	CCONJ
bracis-33607	164	24	the	the	DET
bracis-33607	164	25	frequency	frequency	NOUN
bracis-33607	164	26	(	(	PUNCT
bracis-33607	164	27	tf	tf	NOUN
bracis-33607	164	28	)	)	PUNCT
bracis-33607	164	29	of	of	ADP
bracis-33607	164	30	each	each	DET
bracis-33607	164	31	go	go	VERB
bracis-33607	164	32	term	term	NOUN
bracis-33607	164	33	for	for	ADP
bracis-33607	164	34	each	each	DET
bracis-33607	164	35	protein	protein	NOUN
bracis-33607	164	36	.	.	PUNCT
bracis-33607	165	1	therefore	therefore	ADV
bracis-33607	165	2	,	,	PUNCT
bracis-33607	165	3	we	we	PRON
bracis-33607	165	4	constructed	construct	VERB
bracis-33607	165	5	six	six	NUM
bracis-33607	165	6	protein	protein	NOUN
bracis-33607	165	7	datasets	dataset	NOUN
bracis-33607	165	8	,	,	PUNCT
bracis-33607	165	9	three	three	NUM
bracis-33607	165	10	with	with	ADP
bracis-33607	165	11	categorical	categorical	ADJ
bracis-33607	165	12	descriptive	descriptive	ADJ
bracis-33607	165	13	features	feature	NOUN
bracis-33607	165	14	(	(	PUNCT
bracis-33607	165	15	1/0	1/0	NUM
bracis-33607	165	16	)	)	PUNCT
bracis-33607	165	17	and	and	CCONJ
bracis-33607	165	18	three	three	NUM
bracis-33607	165	19	with	with	ADP
bracis-33607	165	20	numeric	numeric	ADJ
bracis-33607	165	21	descriptive	descriptive	ADJ
bracis-33607	165	22	features	feature	NOUN
bracis-33607	165	23	(	(	PUNCT
bracis-33607	165	24	tf	tf	NOUN
bracis-33607	165	25	)	)	PUNCT
bracis-33607	165	26	.	.	PUNCT
bracis-33607	166	1	table	table	NOUN
bracis-33607	166	2	 	 	SPACE
bracis-33607	166	3	2	2	NUM
bracis-33607	166	4	describes	describe	VERB
bracis-33607	166	5	the	the	DET
bracis-33607	166	6	characteristics	characteristic	NOUN
bracis-33607	166	7	of	of	ADP
bracis-33607	166	8	the	the	DET
bracis-33607	166	9	datasets	dataset	NOUN
bracis-33607	166	10	used	use	VERB
bracis-33607	166	11	in	in	ADP
bracis-33607	166	12	our	our	PRON
bracis-33607	166	13	experiments	experiment	NOUN
bracis-33607	166	14	.	.	PUNCT
bracis-33607	167	1	card	card	NOUN
bracis-33607	167	2	refers	refer	VERB
bracis-33607	167	3	to	to	ADP
bracis-33607	167	4	cardinality	cardinality	NOUN
bracis-33607	167	5	,	,	PUNCT
bracis-33607	167	6	the	the	DET
bracis-33607	167	7	average	average	ADJ
bracis-33607	167	8	number	number	NOUN
bracis-33607	167	9	of	of	ADP
bracis-33607	167	10	labels	label	NOUN
bracis-33607	167	11	per	per	ADP
bracis-33607	167	12	instance	instance	NOUN
bracis-33607	167	13	in	in	ADP
bracis-33607	167	14	a	a	DET
bracis-33607	167	15	multi	multi	ADJ
bracis-33607	167	16	-	-	ADJ
bracis-33607	167	17	label	label	ADJ
bracis-33607	167	18	dataset	dataset	NOUN
bracis-33607	167	19	.	.	PUNCT
bracis-33607	168	1	dens	dens	ADP
bracis-33607	168	2	refers	refer	NOUN
bracis-33607	168	3	to	to	ADP
bracis-33607	168	4	density	density	NOUN
bracis-33607	168	5	,	,	PUNCT
bracis-33607	168	6	which	which	PRON
bracis-33607	168	7	is	be	AUX
bracis-33607	168	8	a	a	DET
bracis-33607	168	9	dimensionless	dimensionless	ADJ
bracis-33607	168	10	level	level	NOUN
bracis-33607	168	11	of	of	ADP
bracis-33607	168	12	the	the	DET
bracis-33607	168	13	cardinality	cardinality	NOUN
bracis-33607	168	14	.	.	PUNCT
bracis-33607	169	1	equations	equation	NOUN
bracis-33607	169	2	 	 	SPACE
bracis-33607	169	3	7	7	NUM
bracis-33607	169	4	and	and	CCONJ
bracis-33607	169	5	8	8	NUM
bracis-33607	169	6	show	show	VERB
bracis-33607	169	7	how	how	SCONJ
bracis-33607	169	8	these	these	DET
bracis-33607	169	9	two	two	NUM
bracis-33607	169	10	measures	measure	NOUN
bracis-33607	169	11	are	be	AUX
bracis-33607	169	12	calculated	calculate	VERB
bracis-33607	169	13	.	.	PUNCT
bracis-33607	170	1	in	in	ADP
bracis-33607	170	2	the	the	DET
bracis-33607	170	3	equations	equation	NOUN
bracis-33607	170	4	,	,	PUNCT
bracis-33607	170	5	\(y_i\	\(y_i\	NOUN
bracis-33607	170	6	)	)	PUNCT
bracis-33607	170	7	represents	represent	VERB
bracis-33607	170	8	a	a	DET
bracis-33607	170	9	label	label	NOUN
bracis-33607	170	10	of	of	ADP
bracis-33607	170	11	the	the	DET
bracis-33607	170	12	dataset	dataset	ADJ
bracis-33607	170	13	d.	d.	PROPN
bracis-33607	170	14	in	in	ADP
bracis-33607	170	15	table	table	NOUN
bracis-33607	170	16	 	 	SPACE
bracis-33607	170	17	2	2	NUM
bracis-33607	170	18	,	,	PUNCT
bracis-33607	170	19	meanir	meanir	PROPN
bracis-33607	170	20	refers	refer	VERB
bracis-33607	170	21	to	to	ADP
bracis-33607	170	22	the	the	DET
bracis-33607	170	23	mean	mean	ADJ
bracis-33607	170	24	imbalance	imbalance	NOUN
bracis-33607	170	25	ratio	ratio	NOUN
bracis-33607	170	26	of	of	ADP
bracis-33607	170	27	the	the	DET
bracis-33607	170	28	datasets	dataset	NOUN
bracis-33607	170	29	,	,	PUNCT
bracis-33607	170	30	which	which	PRON
bracis-33607	170	31	is	be	AUX
bracis-33607	170	32	a	a	DET
bracis-33607	170	33	value	value	NOUN
bracis-33607	170	34	that	that	PRON
bracis-33607	170	35	represents	represent	VERB
bracis-33607	170	36	the	the	DET
bracis-33607	170	37	average	average	ADJ
bracis-33607	170	38	level	level	NOUN
bracis-33607	170	39	of	of	ADP
bracis-33607	170	40	imbalance	imbalance	NOUN
bracis-33607	170	41	in	in	ADP
bracis-33607	170	42	a	a	DET
bracis-33607	170	43	multi	multi	ADJ
bracis-33607	170	44	-	-	ADJ
bracis-33607	170	45	label	label	ADJ
bracis-33607	170	46	dataset	dataset	NOUN
bracis-33607	170	47	 	 	SPACE
bracis-33607	170	48	[	[	X
bracis-33607	170	49	8	8	NUM
bracis-33607	170	50	]	]	PUNCT
bracis-33607	170	51	.	.	PUNCT
bracis-33607	171	1	this	this	DET
bracis-33607	171	2	measure	measure	NOUN
bracis-33607	171	3	is	be	AUX
bracis-33607	171	4	essential	essential	ADJ
bracis-33607	171	5	because	because	SCONJ
bracis-33607	171	6	most	most	ADJ
bracis-33607	171	7	of	of	ADP
bracis-33607	171	8	the	the	DET
bracis-33607	171	9	multi	multi	ADJ
bracis-33607	171	10	-	-	ADJ
bracis-33607	171	11	label	label	ADJ
bracis-33607	171	12	datasets	dataset	NOUN
bracis-33607	171	13	suffer	suffer	VERB
bracis-33607	171	14	from	from	ADP
bracis-33607	171	15	a	a	DET
bracis-33607	171	16	high	high	ADJ
bracis-33607	171	17	level	level	NOUN
bracis-33607	171	18	of	of	ADP
bracis-33607	171	19	imbalance	imbalance	NOUN
bracis-33607	171	20	,	,	PUNCT
bracis-33607	171	21	making	make	VERB
bracis-33607	171	22	the	the	DET
bracis-33607	171	23	learning	learning	NOUN
bracis-33607	171	24	task	task	NOUN
bracis-33607	171	25	more	more	ADV
bracis-33607	171	26	complicated	complicated	ADJ
bracis-33607	171	27	.	.	PUNCT
bracis-33607	172	1	4.3	4.3	NUM
bracis-33607	172	2	evaluation	evaluation	NOUN
bracis-33607	172	3	measures	measure	NOUN
bracis-33607	172	4	to	to	PART
bracis-33607	172	5	evaluate	evaluate	VERB
bracis-33607	172	6	the	the	DET
bracis-33607	172	7	performance	performance	NOUN
bracis-33607	172	8	of	of	ADP
bracis-33607	172	9	our	our	PRON
bracis-33607	172	10	proposed	propose	VERB
bracis-33607	172	11	ssl	ssl	ADJ
bracis-33607	172	12	-	-	NOUN
bracis-33607	172	13	pct	pct	NOUN
bracis-33607	172	14	,	,	PUNCT
bracis-33607	172	15	we	we	PRON
bracis-33607	172	16	used	use	VERB
bracis-33607	172	17	the	the	DET
bracis-33607	172	18	multi	multi	ADJ
bracis-33607	172	19	-	-	ADJ
bracis-33607	172	20	label	label	ADJ
bracis-33607	172	21	evaluation	evaluation	NOUN
bracis-33607	172	22	measures	measure	NOUN
bracis-33607	172	23	defined	define	VERB
bracis-33607	172	24	in	in	ADP
bracis-33607	172	25	the	the	DET
bracis-33607	172	26	work	work	NOUN
bracis-33607	172	27	of	of	ADP
bracis-33607	172	28	godbole	godbole	NOUN
bracis-33607	172	29	 	 	SPACE
bracis-33607	172	30	and	and	CCONJ
bracis-33607	172	31	sarawagi	sarawagi	NOUN
bracis-33607	172	32	 	 	SPACE
bracis-33607	173	1	[	[	X
bracis-33607	173	2	11	11	NUM
bracis-33607	173	3	]	]	PUNCT
bracis-33607	173	4	.	.	PUNCT
bracis-33607	174	1	they	they	PRON
bracis-33607	174	2	are	be	AUX
bracis-33607	174	3	presented	present	VERB
bracis-33607	174	4	in	in	ADP
bracis-33607	174	5	eqs	eqs	PROPN
bracis-33607	174	6	.	.	PUNCT
bracis-33607	174	7	 	 	SPACE
bracis-33607	174	8	9	9	NUM
bracis-33607	174	9	,	,	PUNCT
bracis-33607	174	10	10	10	NUM
bracis-33607	174	11	,	,	PUNCT
bracis-33607	174	12	11	11	NUM
bracis-33607	174	13	and	and	CCONJ
bracis-33607	174	14	12	12	NUM
bracis-33607	174	15	.	.	PUNCT
bracis-33607	175	1	consider	consider	VERB
bracis-33607	175	2	that	that	SCONJ
bracis-33607	175	3	each	each	DET
bracis-33607	175	4	multi	multi	ADJ
bracis-33607	175	5	-	-	ADJ
bracis-33607	175	6	label	label	ADJ
bracis-33607	175	7	instance	instance	NOUN
bracis-33607	175	8	is	be	AUX
bracis-33607	175	9	represented	represent	VERB
bracis-33607	175	10	by	by	ADP
bracis-33607	175	11	\((\textbf{x}_i	\((\textbf{x}_i	NOUN
bracis-33607	175	12	,	,	PUNCT
bracis-33607	175	13	y_i)\	y_i)\	NUM
bracis-33607	175	14	)	)	PUNCT
bracis-33607	175	15	in	in	ADP
bracis-33607	175	16	which	which	PRON
bracis-33607	175	17	\(i	\(i	NOUN
bracis-33607	175	18	=	=	SYM
bracis-33607	175	19	1	1	NUM
bracis-33607	175	20	\dots	\dot	NOUN
bracis-33607	175	21	m\	m\	NOUN
bracis-33607	175	22	)	)	PUNCT
bracis-33607	175	23	(	(	PUNCT
bracis-33607	175	24	with	with	ADP
bracis-33607	175	25	m	m	PRON
bracis-33607	175	26	the	the	DET
bracis-33607	175	27	total	total	ADJ
bracis-33607	175	28	number	number	NOUN
bracis-33607	175	29	of	of	ADP
bracis-33607	175	30	instances	instance	NOUN
bracis-33607	175	31	)	)	PUNCT
bracis-33607	175	32	.	.	PUNCT
bracis-33607	176	1	in	in	ADP
bracis-33607	176	2	the	the	DET
bracis-33607	176	3	equations	equation	NOUN
bracis-33607	176	4	,	,	PUNCT
bracis-33607	176	5	\(y_i	\(y_i	NOUN
bracis-33607	176	6	\subseteq	\subseteq	PROPN
bracis-33607	176	7	l\	l\	PROPN
bracis-33607	176	8	)	)	PUNCT
bracis-33607	176	9	is	be	AUX
bracis-33607	176	10	the	the	DET
bracis-33607	176	11	set	set	NOUN
bracis-33607	176	12	of	of	ADP
bracis-33607	176	13	true	true	ADJ
bracis-33607	176	14	labels	label	NOUN
bracis-33607	176	15	of	of	ADP
bracis-33607	176	16	instance	instance	NOUN
bracis-33607	176	17	\(\textbf{x}_i\	\(\textbf{x}_i\	PROPN
bracis-33607	176	18	)	)	PUNCT
bracis-33607	176	19	,	,	PUNCT
bracis-33607	176	20	and	and	CCONJ
bracis-33607	176	21	\(l	\(l	NOUN
bracis-33607	176	22	=	=	NOUN
bracis-33607	176	23	\{\lambda	\{\lambda	NOUN
bracis-33607	176	24	_	_	PUNCT
bracis-33607	176	25	j	j	NOUN
bracis-33607	176	26	:	:	PUNCT
bracis-33607	177	1	j	j	X
bracis-33607	177	2	=	=	SYM
bracis-33607	177	3	1	1	NUM
bracis-33607	177	4	\dots	\dot	NOUN
bracis-33607	177	5	q\}\	q\}\	NOUN
bracis-33607	177	6	)	)	PUNCT
bracis-33607	177	7	is	be	AUX
bracis-33607	177	8	the	the	DET
bracis-33607	177	9	set	set	NOUN
bracis-33607	177	10	of	of	ADP
bracis-33607	177	11	all	all	DET
bracis-33607	177	12	labels	label	NOUN
bracis-33607	177	13	in	in	ADP
bracis-33607	177	14	the	the	DET
bracis-33607	177	15	problem	problem	NOUN
bracis-33607	177	16	.	.	PUNCT
bracis-33607	178	1	given	give	VERB
bracis-33607	178	2	a	a	DET
bracis-33607	178	3	specific	specific	ADJ
bracis-33607	178	4	instance	instance	NOUN
bracis-33607	178	5	\(\textbf{x}_i\	\(\textbf{x}_i\	PROPN
bracis-33607	178	6	)	)	PUNCT
bracis-33607	178	7	,	,	PUNCT
bracis-33607	178	8	the	the	DET
bracis-33607	178	9	set	set	NOUN
bracis-33607	178	10	of	of	ADP
bracis-33607	178	11	labels	label	NOUN
bracis-33607	178	12	predicted	predict	VERB
bracis-33607	178	13	by	by	ADP
bracis-33607	178	14	a	a	DET
bracis-33607	178	15	classifier	classifier	NOUN
bracis-33607	178	16	is	be	AUX
bracis-33607	178	17	represented	represent	VERB
bracis-33607	178	18	by	by	ADP
bracis-33607	178	19	\(z_i\	\(z_i\	NOUN
bracis-33607	178	20	)	)	PUNCT
bracis-33607	178	21	.	.	PUNCT
bracis-33607	179	1	the	the	DET
bracis-33607	179	2	f1	f1	PROPN
bracis-33607	179	3	measure	measure	NOUN
bracis-33607	179	4	in	in	ADP
bracis-33607	179	5	eq	eq	PROPN
bracis-33607	179	6	.	.	PUNCT
bracis-33607	179	7	 	 	SPACE
bracis-33607	179	8	12	12	NUM
bracis-33607	179	9	is	be	AUX
bracis-33607	179	10	the	the	DET
bracis-33607	179	11	harmonic	harmonic	ADJ
bracis-33607	179	12	mean	mean	NOUN
bracis-33607	179	13	of	of	ADP
bracis-33607	179	14	precision	precision	NOUN
bracis-33607	179	15	and	and	CCONJ
bracis-33607	179	16	 	 	SPACE
bracis-33607	179	17	recall	recall	NOUN
bracis-33607	179	18	.	.	PUNCT
bracis-33607	180	1	5	5	NUM
bracis-33607	180	2	experiments	experiment	NOUN
bracis-33607	180	3	and	and	CCONJ
bracis-33607	180	4	 	 	SPACE
bracis-33607	180	5	discussion	discussion	NOUN
bracis-33607	180	6	we	we	PRON
bracis-33607	180	7	executed	execute	VERB
bracis-33607	180	8	our	our	PRON
bracis-33607	180	9	experiments	experiment	NOUN
bracis-33607	180	10	using	use	VERB
bracis-33607	180	11	a	a	DET
bracis-33607	180	12	5	5	NUM
bracis-33607	180	13	-	-	ADJ
bracis-33607	180	14	fold	fold	ADJ
bracis-33607	180	15	cross	cross	ADJ
bracis-33607	180	16	-	-	ADJ
bracis-33607	180	17	validation	validation	ADJ
bracis-33607	180	18	procedure	procedure	NOUN
bracis-33607	180	19	,	,	PUNCT
bracis-33607	180	20	splitting	split	VERB
bracis-33607	180	21	the	the	DET
bracis-33607	180	22	data	datum	NOUN
bracis-33607	180	23	into	into	ADP
bracis-33607	180	24	five	five	NUM
bracis-33607	180	25	partitions	partition	NOUN
bracis-33607	180	26	containing	contain	VERB
bracis-33607	180	27	20	20	NUM
bracis-33607	180	28	%	%	NOUN
bracis-33607	180	29	of	of	ADP
bracis-33607	180	30	the	the	DET
bracis-33607	180	31	original	original	ADJ
bracis-33607	180	32	data	datum	NOUN
bracis-33607	180	33	.	.	PUNCT
bracis-33607	181	1	for	for	ADP
bracis-33607	181	2	each	each	DET
bracis-33607	181	3	fold	fold	NOUN
bracis-33607	181	4	,	,	PUNCT
bracis-33607	181	5	the	the	DET
bracis-33607	181	6	algorithm	algorithm	NOUN
bracis-33607	181	7	is	be	AUX
bracis-33607	181	8	trained	train	VERB
bracis-33607	181	9	using	use	VERB
bracis-33607	181	10	the	the	DET
bracis-33607	181	11	remaining	remain	VERB
bracis-33607	181	12	four	four	NUM
bracis-33607	181	13	folds	fold	NOUN
bracis-33607	181	14	,	,	PUNCT
bracis-33607	181	15	referred	refer	VERB
bracis-33607	181	16	to	to	ADP
bracis-33607	181	17	as	as	ADP
bracis-33607	181	18	a	a	DET
bracis-33607	181	19	training	training	NOUN
bracis-33607	181	20	set	set	NOUN
bracis-33607	181	21	,	,	PUNCT
bracis-33607	181	22	and	and	CCONJ
bracis-33607	181	23	then	then	ADV
bracis-33607	181	24	used	use	VERB
bracis-33607	181	25	to	to	PART
bracis-33607	181	26	label	label	VERB
bracis-33607	181	27	the	the	DET
bracis-33607	181	28	instances	instance	NOUN
bracis-33607	181	29	in	in	ADP
bracis-33607	181	30	the	the	DET
bracis-33607	181	31	fold	fold	NOUN
bracis-33607	181	32	,	,	PUNCT
bracis-33607	181	33	referred	refer	VERB
bracis-33607	181	34	to	to	ADP
bracis-33607	181	35	as	as	ADP
bracis-33607	181	36	the	the	DET
bracis-33607	181	37	test	test	NOUN
bracis-33607	181	38	set	set	NOUN
bracis-33607	181	39	.	.	PUNCT
bracis-33607	182	1	the	the	DET
bracis-33607	182	2	test	test	NOUN
bracis-33607	182	3	set	set	NOUN
bracis-33607	182	4	is	be	AUX
bracis-33607	182	5	kept	keep	VERB
bracis-33607	182	6	aside	aside	ADV
bracis-33607	182	7	from	from	ADP
bracis-33607	182	8	the	the	DET
bracis-33607	182	9	training	training	NOUN
bracis-33607	182	10	data	datum	NOUN
bracis-33607	182	11	to	to	PART
bracis-33607	182	12	evaluate	evaluate	VERB
bracis-33607	182	13	the	the	DET
bracis-33607	182	14	inductive	inductive	ADJ
bracis-33607	182	15	performance	performance	NOUN
bracis-33607	182	16	of	of	ADP
bracis-33607	182	17	our	our	PRON
bracis-33607	182	18	method	method	NOUN
bracis-33607	182	19	.	.	PUNCT
bracis-33607	183	1	the	the	DET
bracis-33607	183	2	transductive	transductive	ADJ
bracis-33607	183	3	performance	performance	NOUN
bracis-33607	183	4	is	be	AUX
bracis-33607	183	5	also	also	ADV
bracis-33607	183	6	evaluated	evaluate	VERB
bracis-33607	183	7	,	,	PUNCT
bracis-33607	183	8	labeling	label	VERB
bracis-33607	183	9	the	the	DET
bracis-33607	183	10	instances	instance	NOUN
bracis-33607	183	11	of	of	ADP
bracis-33607	183	12	the	the	DET
bracis-33607	183	13	four	four	NUM
bracis-33607	183	14	folds	fold	NOUN
bracis-33607	183	15	used	use	VERB
bracis-33607	183	16	as	as	ADP
bracis-33607	183	17	the	the	DET
bracis-33607	183	18	training	training	NOUN
bracis-33607	183	19	set	set	NOUN
bracis-33607	183	20	.	.	PUNCT
bracis-33607	184	1	the	the	DET
bracis-33607	184	2	final	final	ADJ
bracis-33607	184	3	result	result	NOUN
bracis-33607	184	4	is	be	AUX
bracis-33607	184	5	the	the	DET
bracis-33607	184	6	average	average	NOUN
bracis-33607	184	7	of	of	ADP
bracis-33607	184	8	the	the	DET
bracis-33607	184	9	evaluation	evaluation	NOUN
bracis-33607	184	10	measures	measure	NOUN
bracis-33607	184	11	calculated	calculate	VERB
bracis-33607	184	12	for	for	ADP
bracis-33607	184	13	each	each	DET
bracis-33607	184	14	fold	fold	NOUN
bracis-33607	184	15	.	.	PUNCT
bracis-33607	185	1	each	each	DET
bracis-33607	185	2	training	training	NOUN
bracis-33607	185	3	set	set	NOUN
bracis-33607	185	4	is	be	AUX
bracis-33607	185	5	then	then	ADV
bracis-33607	185	6	divided	divide	VERB
bracis-33607	185	7	into	into	ADP
bracis-33607	185	8	labeled	label	VERB
bracis-33607	185	9	and	and	CCONJ
bracis-33607	185	10	unlabeled	unlabeled	ADJ
bracis-33607	185	11	portions	portion	NOUN
bracis-33607	185	12	of	of	ADP
bracis-33607	185	13	instances	instance	NOUN
bracis-33607	185	14	.	.	PUNCT
bracis-33607	186	1	following	follow	VERB
bracis-33607	186	2	the	the	DET
bracis-33607	186	3	recommendation	recommendation	NOUN
bracis-33607	186	4	of	of	ADP
bracis-33607	186	5	wang	wang	PROPN
bracis-33607	186	6	et	et	PROPN
bracis-33607	186	7	al	al	PROPN
bracis-33607	186	8	.	.	PUNCT
bracis-33607	186	9	 	 	SPACE
bracis-33607	187	1	[	[	X
bracis-33607	187	2	34	34	NUM
bracis-33607	187	3	]	]	PUNCT
bracis-33607	187	4	,	,	PUNCT
bracis-33607	187	5	we	we	PRON
bracis-33607	187	6	do	do	AUX
bracis-33607	187	7	not	not	PART
bracis-33607	187	8	keep	keep	VERB
bracis-33607	187	9	class	class	NOUN
bracis-33607	187	10	proportion	proportion	NOUN
bracis-33607	187	11	in	in	ADP
bracis-33607	187	12	both	both	DET
bracis-33607	187	13	labeled	label	VERB
bracis-33607	187	14	and	and	CCONJ
bracis-33607	187	15	unlabeled	unlabeled	ADJ
bracis-33607	187	16	sets	set	NOUN
bracis-33607	187	17	since	since	SCONJ
bracis-33607	187	18	the	the	DET
bracis-33607	187	19	objective	objective	NOUN
bracis-33607	187	20	of	of	ADP
bracis-33607	187	21	semi	semi	ADJ
bracis-33607	187	22	-	-	ADJ
bracis-33607	187	23	supervised	supervised	ADJ
bracis-33607	187	24	learning	learning	NOUN
bracis-33607	187	25	is	be	AUX
bracis-33607	187	26	to	to	PART
bracis-33607	187	27	exploit	exploit	VERB
bracis-33607	187	28	the	the	DET
bracis-33607	187	29	use	use	NOUN
bracis-33607	187	30	of	of	ADP
bracis-33607	187	31	unlabeled	unlabeled	ADJ
bracis-33607	187	32	data	datum	NOUN
bracis-33607	187	33	to	to	PART
bracis-33607	187	34	improve	improve	VERB
bracis-33607	187	35	prediction	prediction	NOUN
bracis-33607	187	36	performance	performance	NOUN
bracis-33607	187	37	.	.	PUNCT
bracis-33607	188	1	the	the	DET
bracis-33607	188	2	selection	selection	NOUN
bracis-33607	188	3	of	of	ADP
bracis-33607	188	4	instances	instance	NOUN
bracis-33607	188	5	to	to	PART
bracis-33607	188	6	be	be	AUX
bracis-33607	188	7	labeled	label	VERB
bracis-33607	188	8	is	be	AUX
bracis-33607	188	9	performed	perform	VERB
bracis-33607	188	10	randomly	randomly	ADV
bracis-33607	188	11	until	until	SCONJ
bracis-33607	188	12	a	a	DET
bracis-33607	188	13	specific	specific	ADJ
bracis-33607	188	14	criterion	criterion	NOUN
bracis-33607	188	15	is	be	AUX
bracis-33607	188	16	met	meet	VERB
bracis-33607	188	17	,	,	PUNCT
bracis-33607	188	18	and	and	CCONJ
bracis-33607	188	19	the	the	DET
bracis-33607	188	20	remaining	remain	VERB
bracis-33607	188	21	instances	instance	NOUN
bracis-33607	188	22	are	be	AUX
bracis-33607	188	23	used	use	VERB
bracis-33607	188	24	as	as	ADP
bracis-33607	188	25	unlabeled	unlabele	VERB
bracis-33607	188	26	.	.	PUNCT
bracis-33607	189	1	in	in	ADP
bracis-33607	189	2	this	this	DET
bracis-33607	189	3	case	case	NOUN
bracis-33607	189	4	,	,	PUNCT
bracis-33607	189	5	the	the	DET
bracis-33607	189	6	labels	label	NOUN
bracis-33607	189	7	of	of	ADP
bracis-33607	189	8	the	the	DET
bracis-33607	189	9	instances	instance	NOUN
bracis-33607	189	10	are	be	AUX
bracis-33607	189	11	removed	remove	VERB
bracis-33607	189	12	and	and	CCONJ
bracis-33607	189	13	replaced	replace	VERB
bracis-33607	189	14	with	with	ADP
bracis-33607	189	15	the	the	DET
bracis-33607	189	16	symbol	symbol	NOUN
bracis-33607	189	17	“	"	PUNCT
bracis-33607	189	18	?	?	PUNCT
bracis-33607	189	19	”	"	PUNCT
bracis-33607	190	1	so	so	SCONJ
bracis-33607	190	2	that	that	SCONJ
bracis-33607	190	3	our	our	PRON
bracis-33607	190	4	algorithm	algorithm	NOUN
bracis-33607	190	5	recognizes	recognize	VERB
bracis-33607	190	6	these	these	DET
bracis-33607	190	7	instances	instance	NOUN
bracis-33607	190	8	as	as	SCONJ
bracis-33607	190	9	unlabeled	unlabele	VERB
bracis-33607	190	10	.	.	PUNCT
bracis-33607	191	1	we	we	PRON
bracis-33607	191	2	ensure	ensure	VERB
bracis-33607	191	3	that	that	SCONJ
bracis-33607	191	4	every	every	DET
bracis-33607	191	5	labeled	label	VERB
bracis-33607	191	6	portion	portion	NOUN
bracis-33607	191	7	of	of	ADP
bracis-33607	191	8	the	the	DET
bracis-33607	191	9	training	training	NOUN
bracis-33607	191	10	set	set	NOUN
bracis-33607	191	11	has	have	VERB
bracis-33607	191	12	at	at	ADV
bracis-33607	191	13	least	least	ADV
bracis-33607	191	14	one	one	NUM
bracis-33607	191	15	representative	representative	ADJ
bracis-33607	191	16	instance	instance	NOUN
bracis-33607	191	17	for	for	ADP
bracis-33607	191	18	each	each	DET
bracis-33607	191	19	class	class	NOUN
bracis-33607	191	20	.	.	PUNCT
bracis-33607	192	1	we	we	PRON
bracis-33607	192	2	used	use	VERB
bracis-33607	192	3	different	different	ADJ
bracis-33607	192	4	ratios	ratio	NOUN
bracis-33607	192	5	when	when	SCONJ
bracis-33607	192	6	dividing	divide	VERB
bracis-33607	192	7	the	the	DET
bracis-33607	192	8	training	training	NOUN
bracis-33607	192	9	set	set	VERB
bracis-33607	192	10	to	to	PART
bracis-33607	192	11	test	test	VERB
bracis-33607	192	12	many	many	ADJ
bracis-33607	192	13	semi	semi	ADJ
bracis-33607	192	14	-	-	ADJ
bracis-33607	192	15	supervised	supervised	ADJ
bracis-33607	192	16	learning	learning	NOUN
bracis-33607	192	17	scenarios	scenario	NOUN
bracis-33607	192	18	for	for	ADP
bracis-33607	192	19	each	each	DET
bracis-33607	192	20	dataset	dataset	NOUN
bracis-33607	192	21	.	.	PUNCT
bracis-33607	193	1	we	we	PRON
bracis-33607	193	2	performed	perform	VERB
bracis-33607	193	3	as	as	ADP
bracis-33607	193	4	follows	follow	VERB
bracis-33607	193	5	.	.	PUNCT
bracis-33607	194	1	consider	consider	VERB
bracis-33607	194	2	c	c	NOUN
bracis-33607	194	3	as	as	ADP
bracis-33607	194	4	the	the	DET
bracis-33607	194	5	number	number	NOUN
bracis-33607	194	6	of	of	ADP
bracis-33607	194	7	classes	class	NOUN
bracis-33607	194	8	in	in	ADP
bracis-33607	194	9	a	a	DET
bracis-33607	194	10	dataset	dataset	NOUN
bracis-33607	194	11	e.	e.	NOUN
bracis-33607	194	12	for	for	ADP
bracis-33607	194	13	every	every	DET
bracis-33607	194	14	dataset	dataset	NOUN
bracis-33607	194	15	,	,	PUNCT
bracis-33607	194	16	the	the	DET
bracis-33607	194	17	labeled	label	VERB
bracis-33607	194	18	portion	portion	NOUN
bracis-33607	194	19	of	of	ADP
bracis-33607	194	20	the	the	DET
bracis-33607	194	21	training	training	NOUN
bracis-33607	194	22	set	set	NOUN
bracis-33607	194	23	was	be	AUX
bracis-33607	194	24	constructed	construct	VERB
bracis-33607	194	25	with	with	ADP
bracis-33607	194	26	\(c	\(c	NOUN
bracis-33607	194	27	\times	\time	NOUN
bracis-33607	194	28	\alpha	\alpha	ADP
bracis-33607	194	29	\	\	NOUN
bracis-33607	194	30	)	)	PUNCT
bracis-33607	194	31	instances	instance	NOUN
bracis-33607	194	32	.	.	PUNCT
bracis-33607	195	1	the	the	DET
bracis-33607	195	2	\(\alpha	\(\alpha	NOUN
bracis-33607	195	3	\	\	NOUN
bracis-33607	195	4	)	)	PUNCT
bracis-33607	195	5	hyperparameter	hyperparameter	NOUN
bracis-33607	195	6	is	be	AUX
bracis-33607	195	7	a	a	DET
bracis-33607	195	8	value	value	NOUN
bracis-33607	195	9	that	that	PRON
bracis-33607	195	10	controls	control	VERB
bracis-33607	195	11	the	the	DET
bracis-33607	195	12	number	number	NOUN
bracis-33607	195	13	of	of	ADP
bracis-33607	195	14	instances	instance	NOUN
bracis-33607	195	15	in	in	ADP
bracis-33607	195	16	the	the	DET
bracis-33607	195	17	labeled	label	VERB
bracis-33607	195	18	portion	portion	NOUN
bracis-33607	195	19	.	.	PUNCT
bracis-33607	196	1	we	we	PRON
bracis-33607	196	2	used	use	VERB
bracis-33607	196	3	three	three	NUM
bracis-33607	196	4	values	value	NOUN
bracis-33607	196	5	for	for	ADP
bracis-33607	196	6	\(\alpha	\(\alpha	NOUN
bracis-33607	196	7	\	\	NOUN
bracis-33607	196	8	):	):	PUNCT
bracis-33607	196	9	5	5	NUM
bracis-33607	196	10	,	,	PUNCT
bracis-33607	196	11	10	10	NUM
bracis-33607	196	12	and	and	CCONJ
bracis-33607	196	13	20	20	NUM
bracis-33607	196	14	.	.	PUNCT
bracis-33607	197	1	this	this	DET
bracis-33607	197	2	strategy	strategy	NOUN
bracis-33607	197	3	was	be	AUX
bracis-33607	197	4	performed	perform	VERB
bracis-33607	197	5	for	for	ADP
bracis-33607	197	6	every	every	DET
bracis-33607	197	7	dataset	dataset	NOUN
bracis-33607	197	8	in	in	ADP
bracis-33607	197	9	table	table	NOUN
bracis-33607	197	10	 	 	SPACE
bracis-33607	197	11	2	2	NUM
bracis-33607	197	12	.	.	PUNCT
bracis-33607	197	13	considering	consider	VERB
bracis-33607	197	14	the	the	DET
bracis-33607	197	15	\(\omega	\(\omega	PUNCT
bracis-33607	197	16	\	\	ADJ
bracis-33607	197	17	)	)	PUNCT
bracis-33607	197	18	hyperparameter	hyperparameter	NOUN
bracis-33607	197	19	,	,	PUNCT
bracis-33607	197	20	which	which	PRON
bracis-33607	197	21	defines	define	VERB
bracis-33607	197	22	the	the	DET
bracis-33607	197	23	contribution	contribution	NOUN
bracis-33607	197	24	of	of	ADP
bracis-33607	197	25	supervised	supervised	ADJ
bracis-33607	197	26	and	and	CCONJ
bracis-33607	197	27	unsupervised	unsupervised	ADJ
bracis-33607	197	28	parts	part	NOUN
bracis-33607	197	29	in	in	ADP
bracis-33607	197	30	the	the	DET
bracis-33607	197	31	calculation	calculation	NOUN
bracis-33607	197	32	of	of	ADP
bracis-33607	197	33	the	the	DET
bracis-33607	197	34	impurity	impurity	NOUN
bracis-33607	197	35	value	value	NOUN
bracis-33607	197	36	(	(	PUNCT
bracis-33607	197	37	eq	eq	NOUN
bracis-33607	197	38	.	.	PUNCT
bracis-33607	197	39	 	 	SPACE
bracis-33607	197	40	1	1	NUM
bracis-33607	197	41	)	)	PUNCT
bracis-33607	197	42	,	,	PUNCT
bracis-33607	197	43	we	we	PRON
bracis-33607	197	44	tested	test	VERB
bracis-33607	197	45	six	six	NUM
bracis-33607	197	46	different	different	ADJ
bracis-33607	197	47	values	value	NOUN
bracis-33607	197	48	:	:	PUNCT
bracis-33607	197	49	0.0	0.0	NUM
bracis-33607	197	50	,	,	PUNCT
bracis-33607	197	51	0.2	0.2	NUM
bracis-33607	197	52	,	,	PUNCT
bracis-33607	197	53	0.4	0.4	NUM
bracis-33607	197	54	,	,	PUNCT
bracis-33607	197	55	0.6	0.6	NUM
bracis-33607	197	56	,	,	PUNCT
bracis-33607	197	57	0.8	0.8	NUM
bracis-33607	197	58	and	and	CCONJ
bracis-33607	197	59	1.0	1.0	NUM
bracis-33607	197	60	.	.	PUNCT
bracis-33607	198	1	thus	thus	ADV
bracis-33607	198	2	,	,	PUNCT
bracis-33607	198	3	we	we	PRON
bracis-33607	198	4	can	can	AUX
bracis-33607	198	5	evaluate	evaluate	VERB
bracis-33607	198	6	if	if	SCONJ
bracis-33607	198	7	the	the	DET
bracis-33607	198	8	unlabeled	unlabele	VERB
bracis-33607	198	9	instances	instance	NOUN
bracis-33607	198	10	improved	improve	VERB
bracis-33607	198	11	the	the	DET
bracis-33607	198	12	prediction	prediction	NOUN
bracis-33607	198	13	performance	performance	NOUN
bracis-33607	198	14	.	.	PUNCT
bracis-33607	199	1	it	it	PRON
bracis-33607	199	2	is	be	AUX
bracis-33607	199	3	worth	worth	ADJ
bracis-33607	199	4	noting	note	VERB
bracis-33607	199	5	that	that	SCONJ
bracis-33607	199	6	our	our	PRON
bracis-33607	199	7	proposed	propose	VERB
bracis-33607	199	8	ssl	ssl	ADJ
bracis-33607	199	9	-	-	ADJ
bracis-33607	199	10	pct	pct	NOUN
bracis-33607	199	11	can	can	AUX
bracis-33607	199	12	present	present	VERB
bracis-33607	199	13	different	different	ADJ
bracis-33607	199	14	performance	performance	NOUN
bracis-33607	199	15	on	on	ADP
bracis-33607	199	16	different	different	ADJ
bracis-33607	199	17	datasets	dataset	NOUN
bracis-33607	199	18	.	.	PUNCT
bracis-33607	200	1	this	this	PRON
bracis-33607	200	2	happens	happen	VERB
bracis-33607	200	3	because	because	SCONJ
bracis-33607	200	4	semi	semi	ADJ
bracis-33607	200	5	-	-	ADJ
bracis-33607	200	6	supervised	supervised	ADJ
bracis-33607	200	7	methods	method	NOUN
bracis-33607	200	8	are	be	AUX
bracis-33607	200	9	known	know	VERB
bracis-33607	200	10	to	to	PART
bracis-33607	200	11	be	be	AUX
bracis-33607	200	12	domain	domain	NOUN
bracis-33607	200	13	dependent	dependent	ADJ
bracis-33607	200	14	 	 	SPACE
bracis-33607	201	1	[	[	X
bracis-33607	201	2	17	17	NUM
bracis-33607	201	3	]	]	PUNCT
bracis-33607	201	4	.	.	PUNCT
bracis-33607	202	1	table	table	NOUN
bracis-33607	202	2	 	 	SPACE
bracis-33607	202	3	3	3	NUM
bracis-33607	202	4	shows	show	VERB
bracis-33607	202	5	the	the	DET
bracis-33607	202	6	accuracy	accuracy	NOUN
bracis-33607	202	7	and	and	CCONJ
bracis-33607	202	8	f1	f1	NOUN
bracis-33607	202	9	values	value	NOUN
bracis-33607	202	10	for	for	ADP
bracis-33607	202	11	all	all	DET
bracis-33607	202	12	the	the	DET
bracis-33607	202	13	experiments	experiment	NOUN
bracis-33607	202	14	.	.	PUNCT
bracis-33607	203	1	acc	acc	PROPN
bracis-33607	203	2	i	i	PROPN
bracis-33607	203	3	and	and	CCONJ
bracis-33607	203	4	f1	f1	PROPN
bracis-33607	203	5	i	i	PRON
bracis-33607	203	6	stand	stand	VERB
bracis-33607	203	7	for	for	ADP
bracis-33607	203	8	accuracy	accuracy	NOUN
bracis-33607	203	9	and	and	CCONJ
bracis-33607	203	10	f1	f1	NOUN
bracis-33607	203	11	inductive	inductive	ADJ
bracis-33607	203	12	performances	performance	NOUN
bracis-33607	203	13	,	,	PUNCT
bracis-33607	203	14	while	while	SCONJ
bracis-33607	203	15	acc	acc	PROPN
bracis-33607	203	16	t	t	PROPN
bracis-33607	203	17	and	and	CCONJ
bracis-33607	203	18	f1	f1	PROPN
bracis-33607	203	19	t	t	PROPN
bracis-33607	203	20	stand	stand	VERB
bracis-33607	203	21	for	for	ADP
bracis-33607	203	22	accuracy	accuracy	NOUN
bracis-33607	203	23	and	and	CCONJ
bracis-33607	203	24	f1	f1	NOUN
bracis-33607	203	25	transductive	transductive	ADJ
bracis-33607	203	26	performances	performance	NOUN
bracis-33607	203	27	.	.	PUNCT
bracis-33607	204	1	the	the	DET
bracis-33607	204	2	best	good	ADJ
bracis-33607	204	3	results	result	NOUN
bracis-33607	204	4	for	for	ADP
bracis-33607	204	5	each	each	DET
bracis-33607	204	6	dataset	dataset	NOUN
bracis-33607	204	7	are	be	AUX
bracis-33607	204	8	highlighted	highlight	VERB
bracis-33607	204	9	in	in	ADP
bracis-33607	204	10	boldface	boldface	NOUN
bracis-33607	204	11	to	to	PART
bracis-33607	204	12	see	see	VERB
bracis-33607	204	13	the	the	DET
bracis-33607	204	14	best	good	ADJ
bracis-33607	204	15	performance	performance	NOUN
bracis-33607	204	16	among	among	ADP
bracis-33607	204	17	the	the	DET
bracis-33607	204	18	variations	variation	NOUN
bracis-33607	204	19	of	of	ADP
bracis-33607	204	20	the	the	DET
bracis-33607	204	21	\(\omega	\(\omega	X
bracis-33607	204	22	\	\	NOUN
bracis-33607	204	23	)	)	PUNCT
bracis-33607	204	24	hyperparameter	hyperparameter	NOUN
bracis-33607	204	25	.	.	PUNCT
bracis-33607	205	1	each	each	DET
bracis-33607	205	2	value	value	NOUN
bracis-33607	205	3	is	be	AUX
bracis-33607	205	4	the	the	DET
bracis-33607	205	5	accuracy	accuracy	NOUN
bracis-33607	205	6	and	and	CCONJ
bracis-33607	205	7	f1	f1	NOUN
bracis-33607	205	8	average	average	ADJ
bracis-33607	205	9	values	value	NOUN
bracis-33607	205	10	across	across	ADP
bracis-33607	205	11	5	5	NUM
bracis-33607	205	12	-	-	ADJ
bracis-33607	205	13	fold	fold	ADJ
bracis-33607	205	14	cross	cross	NOUN
bracis-33607	205	15	-	-	NOUN
bracis-33607	205	16	validation	validation	NOUN
bracis-33607	205	17	.	.	PUNCT
bracis-33607	206	1	the	the	DET
bracis-33607	206	2	rows	row	NOUN
bracis-33607	206	3	containing	contain	VERB
bracis-33607	206	4	the	the	DET
bracis-33607	206	5	symbol	symbol	NOUN
bracis-33607	206	6	“	"	PUNCT
bracis-33607	206	7	-	-	INTJ
bracis-33607	206	8	”	"	PUNCT
bracis-33607	206	9	represent	represent	VERB
bracis-33607	206	10	cases	case	NOUN
bracis-33607	206	11	in	in	ADP
bracis-33607	206	12	which	which	PRON
bracis-33607	206	13	our	our	PRON
bracis-33607	206	14	heuristic	heuristic	NOUN
bracis-33607	206	15	could	could	AUX
bracis-33607	206	16	not	not	PART
bracis-33607	206	17	find	find	VERB
bracis-33607	206	18	any	any	DET
bracis-33607	206	19	acceptable	acceptable	ADJ
bracis-33607	206	20	test	test	NOUN
bracis-33607	206	21	to	to	PART
bracis-33607	206	22	put	put	VERB
bracis-33607	206	23	in	in	ADP
bracis-33607	206	24	the	the	DET
bracis-33607	206	25	nodes	node	NOUN
bracis-33607	206	26	of	of	ADP
bracis-33607	206	27	the	the	DET
bracis-33607	206	28	decision	decision	NOUN
bracis-33607	206	29	trees	tree	NOUN
bracis-33607	206	30	.	.	PUNCT
bracis-33607	207	1	thus	thus	ADV
bracis-33607	207	2	,	,	PUNCT
bracis-33607	207	3	no	no	DET
bracis-33607	207	4	tree	tree	NOUN
bracis-33607	207	5	was	be	AUX
bracis-33607	207	6	created	create	VERB
bracis-33607	207	7	in	in	ADP
bracis-33607	207	8	these	these	DET
bracis-33607	207	9	cases	case	NOUN
bracis-33607	207	10	.	.	PUNCT
bracis-33607	208	1	this	this	PRON
bracis-33607	208	2	only	only	ADV
bracis-33607	208	3	happened	happen	VERB
bracis-33607	208	4	for	for	ADP
bracis-33607	208	5	some	some	DET
bracis-33607	208	6	experiments	experiment	NOUN
bracis-33607	208	7	with	with	ADP
bracis-33607	208	8	the	the	DET
bracis-33607	208	9	numeric	numeric	ADJ
bracis-33607	208	10	versions	version	NOUN
bracis-33607	208	11	of	of	ADP
bracis-33607	208	12	the	the	DET
bracis-33607	208	13	datasets	dataset	NOUN
bracis-33607	208	14	when	when	SCONJ
bracis-33607	208	15	the	the	DET
bracis-33607	208	16	\(\omega	\(\omega	NOUN
bracis-33607	208	17	\	\	NOUN
bracis-33607	208	18	)	)	PUNCT
bracis-33607	208	19	hyperparameter	hyperparameter	NOUN
bracis-33607	208	20	was	be	AUX
bracis-33607	208	21	set	set	VERB
bracis-33607	208	22	to	to	ADP
bracis-33607	208	23	0.0	0.0	NUM
bracis-33607	208	24	,	,	PUNCT
bracis-33607	208	25	i.e.	i.e.	X
bracis-33607	208	26	,	,	PUNCT
bracis-33607	208	27	when	when	SCONJ
bracis-33607	208	28	only	only	ADV
bracis-33607	208	29	unlabeled	unlabele	VERB
bracis-33607	208	30	instances	instance	NOUN
bracis-33607	208	31	were	be	AUX
bracis-33607	208	32	used	use	VERB
bracis-33607	208	33	to	to	PART
bracis-33607	208	34	calculate	calculate	VERB
bracis-33607	208	35	the	the	DET
bracis-33607	208	36	impurity	impurity	NOUN
bracis-33607	208	37	.	.	PUNCT
bracis-33607	209	1	table	table	NOUN
bracis-33607	209	2	3	3	NUM
bracis-33607	209	3	.	.	X
bracis-33607	209	4	results	result	NOUN
bracis-33607	209	5	in	in	ADP
bracis-33607	209	6	the	the	DET
bracis-33607	209	7	virus	virus	NOUN
bracis-33607	209	8	,	,	PUNCT
bracis-33607	209	9	plant	plant	NOUN
bracis-33607	209	10	and	and	CCONJ
bracis-33607	209	11	fungus	fungus	NOUN
bracis-33607	209	12	datasets.full	datasets.full	NUM
bracis-33607	209	13	size	size	NOUN
bracis-33607	209	14	table	table	NOUN
bracis-33607	209	15	table	table	NOUN
bracis-33607	209	16	4	4	NUM
bracis-33607	209	17	.	.	PUNCT
bracis-33607	209	18	results	result	NOUN
bracis-33607	209	19	in	in	ADP
bracis-33607	209	20	the	the	DET
bracis-33607	209	21	virus	virus	NOUN
bracis-33607	209	22	,	,	PUNCT
bracis-33607	209	23	plant	plant	NOUN
bracis-33607	209	24	and	and	CCONJ
bracis-33607	209	25	fungus	fungus	NOUN
bracis-33607	209	26	datasets	dataset	NOUN
bracis-33607	209	27	without	without	ADP
bracis-33607	209	28	located_in	located_in	X
bracis-33607	209	29	termsfull	termsfull	ADJ
bracis-33607	209	30	size	size	NOUN
bracis-33607	209	31	table	table	NOUN
bracis-33607	209	32	as	as	SCONJ
bracis-33607	209	33	can	can	AUX
bracis-33607	209	34	be	be	AUX
bracis-33607	209	35	seen	see	VERB
bracis-33607	209	36	from	from	ADP
bracis-33607	209	37	our	our	PRON
bracis-33607	209	38	results	result	NOUN
bracis-33607	209	39	,	,	PUNCT
bracis-33607	209	40	in	in	ADP
bracis-33607	209	41	most	most	ADJ
bracis-33607	209	42	cases	case	NOUN
bracis-33607	209	43	,	,	PUNCT
bracis-33607	209	44	the	the	DET
bracis-33607	209	45	best	good	ADJ
bracis-33607	209	46	results	result	NOUN
bracis-33607	209	47	were	be	AUX
bracis-33607	209	48	obtained	obtain	VERB
bracis-33607	209	49	when	when	SCONJ
bracis-33607	209	50	the	the	DET
bracis-33607	209	51	maximum	maximum	ADJ
bracis-33607	209	52	supervision	supervision	NOUN
bracis-33607	209	53	level	level	NOUN
bracis-33607	209	54	was	be	AUX
bracis-33607	209	55	used	use	VERB
bracis-33607	209	56	(	(	PUNCT
bracis-33607	209	57	\(\omega	\(\omega	NOUN
bracis-33607	209	58	=	=	SYM
bracis-33607	209	59	1\	1\	NUM
bracis-33607	209	60	)	)	PUNCT
bracis-33607	209	61	)	)	PUNCT
bracis-33607	209	62	,	,	PUNCT
bracis-33607	209	63	indicating	indicate	VERB
bracis-33607	209	64	that	that	SCONJ
bracis-33607	209	65	the	the	DET
bracis-33607	209	66	algorithm	algorithm	NOUN
bracis-33607	209	67	could	could	AUX
bracis-33607	209	68	not	not	PART
bracis-33607	209	69	improve	improve	VERB
bracis-33607	209	70	the	the	DET
bracis-33607	209	71	classification	classification	NOUN
bracis-33607	209	72	with	with	ADP
bracis-33607	209	73	the	the	DET
bracis-33607	209	74	unlabeled	unlabeled	ADJ
bracis-33607	209	75	data	datum	NOUN
bracis-33607	209	76	.	.	PUNCT
bracis-33607	210	1	it	it	PRON
bracis-33607	210	2	is	be	AUX
bracis-33607	210	3	possible	possible	ADJ
bracis-33607	210	4	to	to	PART
bracis-33607	210	5	see	see	VERB
bracis-33607	210	6	that	that	PRON
bracis-33607	210	7	for	for	ADP
bracis-33607	210	8	numeric	numeric	ADJ
bracis-33607	210	9	datasets	dataset	NOUN
bracis-33607	210	10	,	,	PUNCT
bracis-33607	210	11	semi	semi	ADJ
bracis-33607	210	12	-	-	ADJ
bracis-33607	210	13	supervision	supervision	NOUN
bracis-33607	210	14	slightly	slightly	ADV
bracis-33607	210	15	improved	improve	VERB
bracis-33607	210	16	the	the	DET
bracis-33607	210	17	result	result	NOUN
bracis-33607	210	18	for	for	ADP
bracis-33607	210	19	some	some	DET
bracis-33607	210	20	cases	case	NOUN
bracis-33607	210	21	compared	compare	VERB
bracis-33607	210	22	to	to	ADP
bracis-33607	210	23	the	the	DET
bracis-33607	210	24	purely	purely	ADV
bracis-33607	210	25	supervised	supervised	ADJ
bracis-33607	210	26	version	version	NOUN
bracis-33607	210	27	.	.	PUNCT
bracis-33607	211	1	even	even	ADV
bracis-33607	211	2	in	in	ADP
bracis-33607	211	3	these	these	DET
bracis-33607	211	4	cases	case	NOUN
bracis-33607	211	5	,	,	PUNCT
bracis-33607	211	6	the	the	DET
bracis-33607	211	7	increase	increase	NOUN
bracis-33607	211	8	was	be	AUX
bracis-33607	211	9	not	not	PART
bracis-33607	211	10	very	very	ADV
bracis-33607	211	11	significant	significant	ADJ
bracis-33607	211	12	.	.	PUNCT
bracis-33607	212	1	in	in	ADP
bracis-33607	212	2	some	some	DET
bracis-33607	212	3	configurations	configuration	NOUN
bracis-33607	212	4	where	where	SCONJ
bracis-33607	212	5	\(\omega	\(\omega	X
bracis-33607	212	6	=	=	SYM
bracis-33607	212	7	0.8\	0.8\	ADJ
bracis-33607	212	8	)	)	PUNCT
bracis-33607	212	9	,	,	PUNCT
bracis-33607	212	10	a	a	DET
bracis-33607	212	11	semi	semi	ADJ
bracis-33607	212	12	-	-	ADJ
bracis-33607	212	13	supervised	supervised	ADJ
bracis-33607	212	14	strategy	strategy	NOUN
bracis-33607	212	15	could	could	AUX
bracis-33607	212	16	increase	increase	VERB
bracis-33607	212	17	the	the	DET
bracis-33607	212	18	performance	performance	NOUN
bracis-33607	212	19	by	by	ADP
bracis-33607	212	20	more	more	ADJ
bracis-33607	212	21	than	than	ADP
bracis-33607	212	22	1	1	NUM
bracis-33607	212	23	%	%	NOUN
bracis-33607	212	24	.	.	PUNCT
bracis-33607	213	1	an	an	DET
bracis-33607	213	2	unusual	unusual	ADJ
bracis-33607	213	3	point	point	NOUN
bracis-33607	213	4	of	of	ADP
bracis-33607	213	5	these	these	DET
bracis-33607	213	6	results	result	NOUN
bracis-33607	213	7	is	be	AUX
bracis-33607	213	8	that	that	SCONJ
bracis-33607	213	9	the	the	DET
bracis-33607	213	10	evaluation	evaluation	NOUN
bracis-33607	213	11	metrics	metric	NOUN
bracis-33607	213	12	returned	return	VERB
bracis-33607	213	13	very	very	ADV
bracis-33607	213	14	high	high	ADJ
bracis-33607	213	15	values	value	NOUN
bracis-33607	213	16	even	even	ADV
bracis-33607	213	17	with	with	ADP
bracis-33607	213	18	very	very	ADV
bracis-33607	213	19	few	few	ADJ
bracis-33607	213	20	labeled	label	VERB
bracis-33607	213	21	instances	instance	NOUN
bracis-33607	213	22	.	.	PUNCT
bracis-33607	214	1	this	this	PRON
bracis-33607	214	2	is	be	AUX
bracis-33607	214	3	even	even	ADV
bracis-33607	214	4	more	more	ADV
bracis-33607	214	5	unusual	unusual	ADJ
bracis-33607	214	6	when	when	SCONJ
bracis-33607	214	7	we	we	PRON
bracis-33607	214	8	see	see	VERB
bracis-33607	214	9	that	that	SCONJ
bracis-33607	214	10	in	in	ADP
bracis-33607	214	11	the	the	DET
bracis-33607	214	12	experiments	experiment	NOUN
bracis-33607	214	13	with	with	ADP
bracis-33607	214	14	\(\alpha	\(\alpha	NOUN
bracis-33607	214	15	=	=	SYM
bracis-33607	214	16	5\	5\	PROPN
bracis-33607	214	17	)	)	PUNCT
bracis-33607	214	18	,	,	PUNCT
bracis-33607	214	19	we	we	PRON
bracis-33607	214	20	have	have	VERB
bracis-33607	214	21	approximately	approximately	ADV
bracis-33607	214	22	30	30	NUM
bracis-33607	214	23	virus	virus	NOUN
bracis-33607	214	24	labeled	label	VERB
bracis-33607	214	25	instances	instance	NOUN
bracis-33607	214	26	(	(	PUNCT
bracis-33607	214	27	4.65	4.65	NUM
bracis-33607	214	28	%	%	NOUN
bracis-33607	214	29	of	of	ADP
bracis-33607	214	30	the	the	DET
bracis-33607	214	31	total	total	NOUN
bracis-33607	214	32	)	)	PUNCT
bracis-33607	214	33	,	,	PUNCT
bracis-33607	214	34	60	60	NUM
bracis-33607	214	35	plant	plant	NOUN
bracis-33607	214	36	labeled	label	VERB
bracis-33607	214	37	instances	instance	NOUN
bracis-33607	214	38	(	(	PUNCT
bracis-33607	214	39	1.14	1.14	NUM
bracis-33607	214	40	%	%	NOUN
bracis-33607	214	41	of	of	ADP
bracis-33607	214	42	the	the	DET
bracis-33607	214	43	total	total	NOUN
bracis-33607	214	44	)	)	PUNCT
bracis-33607	214	45	,	,	PUNCT
bracis-33607	214	46	and	and	CCONJ
bracis-33607	214	47	50	50	NUM
bracis-33607	214	48	fungus	fungus	NOUN
bracis-33607	214	49	labeled	label	VERB
bracis-33607	214	50	instances	instance	NOUN
bracis-33607	214	51	(	(	PUNCT
bracis-33607	214	52	0.91	0.91	NUM
bracis-33607	214	53	%	%	NOUN
bracis-33607	214	54	of	of	ADP
bracis-33607	214	55	the	the	DET
bracis-33607	214	56	total	total	NOUN
bracis-33607	214	57	)	)	PUNCT
bracis-33607	214	58	.	.	PUNCT
bracis-33607	215	1	a	a	DET
bracis-33607	215	2	hypothesis	hypothesis	NOUN
bracis-33607	215	3	raised	raise	VERB
bracis-33607	215	4	to	to	PART
bracis-33607	215	5	explain	explain	VERB
bracis-33607	215	6	this	this	DET
bracis-33607	215	7	point	point	NOUN
bracis-33607	215	8	is	be	AUX
bracis-33607	215	9	that	that	SCONJ
bracis-33607	215	10	we	we	PRON
bracis-33607	215	11	have	have	VERB
bracis-33607	215	12	several	several	ADJ
bracis-33607	215	13	types	type	NOUN
bracis-33607	215	14	of	of	ADP
bracis-33607	215	15	go	go	NOUN
bracis-33607	215	16	terms	term	NOUN
bracis-33607	215	17	,	,	PUNCT
bracis-33607	215	18	each	each	DET
bracis-33607	215	19	one	one	NOUN
bracis-33607	215	20	representing	represent	VERB
bracis-33607	215	21	a	a	DET
bracis-33607	215	22	conceptfootnote	conceptfootnote	NOUN
bracis-33607	215	23	2	2	NUM
bracis-33607	215	24	.	.	PUNCT
bracis-33607	216	1	as	as	ADP
bracis-33607	216	2	an	an	DET
bracis-33607	216	3	example	example	NOUN
bracis-33607	216	4	,	,	PUNCT
bracis-33607	216	5	we	we	PRON
bracis-33607	216	6	have	have	VERB
bracis-33607	216	7	the	the	DET
bracis-33607	216	8	type	type	NOUN
bracis-33607	216	9	involved_in	involved_in	PROPN
bracis-33607	216	10	,	,	PUNCT
bracis-33607	216	11	which	which	PRON
bracis-33607	216	12	tells	tell	VERB
bracis-33607	216	13	if	if	SCONJ
bracis-33607	216	14	a	a	DET
bracis-33607	216	15	protein	protein	NOUN
bracis-33607	216	16	is	be	AUX
bracis-33607	216	17	involved	involve	VERB
bracis-33607	216	18	in	in	ADP
bracis-33607	216	19	some	some	DET
bracis-33607	216	20	biological	biological	ADJ
bracis-33607	216	21	process	process	NOUN
bracis-33607	216	22	,	,	PUNCT
bracis-33607	216	23	or	or	CCONJ
bracis-33607	216	24	the	the	DET
bracis-33607	216	25	type	type	NOUN
bracis-33607	216	26	enables	enable	NOUN
bracis-33607	216	27	,	,	PUNCT
bracis-33607	216	28	which	which	PRON
bracis-33607	216	29	tells	tell	VERB
bracis-33607	216	30	whether	whether	SCONJ
bracis-33607	216	31	a	a	DET
bracis-33607	216	32	protein	protein	NOUN
bracis-33607	216	33	allows	allow	VERB
bracis-33607	216	34	for	for	SCONJ
bracis-33607	216	35	some	some	DET
bracis-33607	216	36	biological	biological	ADJ
bracis-33607	216	37	process	process	NOUN
bracis-33607	216	38	to	to	PART
bracis-33607	216	39	occur	occur	VERB
bracis-33607	216	40	.	.	PUNCT
bracis-33607	217	1	a	a	DET
bracis-33607	217	2	possible	possible	ADJ
bracis-33607	217	3	problem	problem	NOUN
bracis-33607	217	4	may	may	AUX
bracis-33607	217	5	be	be	AUX
bracis-33607	217	6	related	relate	VERB
bracis-33607	217	7	to	to	ADP
bracis-33607	217	8	our	our	PRON
bracis-33607	217	9	features	feature	NOUN
bracis-33607	217	10	since	since	SCONJ
bracis-33607	217	11	in	in	ADP
bracis-33607	217	12	the	the	DET
bracis-33607	217	13	cellular	cellular	ADJ
bracis-33607	217	14	components	component	NOUN
bracis-33607	217	15	’	'	PUNCT
bracis-33607	217	16	ontology	ontology	NOUN
bracis-33607	217	17	,	,	PUNCT
bracis-33607	217	18	we	we	PRON
bracis-33607	217	19	have	have	VERB
bracis-33607	217	20	annotations	annotation	NOUN
bracis-33607	217	21	with	with	ADP
bracis-33607	217	22	the	the	DET
bracis-33607	217	23	term	term	NOUN
bracis-33607	217	24	located_in	located_in	NOUN
bracis-33607	217	25	.	.	PUNCT
bracis-33607	218	1	this	this	DET
bracis-33607	218	2	term	term	NOUN
bracis-33607	218	3	appears	appear	VERB
bracis-33607	218	4	in	in	ADP
bracis-33607	218	5	a	a	DET
bracis-33607	218	6	protein	protein	NOUN
bracis-33607	218	7	when	when	SCONJ
bracis-33607	218	8	we	we	PRON
bracis-33607	218	9	have	have	VERB
bracis-33607	218	10	evidence	evidence	NOUN
bracis-33607	218	11	that	that	SCONJ
bracis-33607	218	12	it	it	PRON
bracis-33607	218	13	is	be	AUX
bracis-33607	218	14	present	present	ADJ
bracis-33607	218	15	in	in	ADP
bracis-33607	218	16	any	any	DET
bracis-33607	218	17	cellular	cellular	ADJ
bracis-33607	218	18	component	component	NOUN
bracis-33607	218	19	,	,	PUNCT
bracis-33607	218	20	i.e.	i.e.	X
bracis-33607	218	21	,	,	PUNCT
bracis-33607	218	22	in	in	ADP
bracis-33607	218	23	this	this	DET
bracis-33607	218	24	case	case	NOUN
bracis-33607	218	25	,	,	PUNCT
bracis-33607	218	26	we	we	PRON
bracis-33607	218	27	have	have	VERB
bracis-33607	218	28	a	a	DET
bracis-33607	218	29	descriptive	descriptive	ADJ
bracis-33607	218	30	feature	feature	NOUN
bracis-33607	218	31	representing	represent	VERB
bracis-33607	218	32	almost	almost	ADV
bracis-33607	218	33	the	the	DET
bracis-33607	218	34	same	same	ADJ
bracis-33607	218	35	concept	concept	NOUN
bracis-33607	218	36	of	of	ADP
bracis-33607	218	37	the	the	DET
bracis-33607	218	38	target	target	NOUN
bracis-33607	218	39	feature	feature	NOUN
bracis-33607	218	40	:	:	PUNCT
bracis-33607	218	41	subcellular	subcellular	ADJ
bracis-33607	218	42	localization	localization	NOUN
bracis-33607	218	43	.	.	PUNCT
bracis-33607	219	1	this	this	PRON
bracis-33607	219	2	can	can	AUX
bracis-33607	219	3	explain	explain	VERB
bracis-33607	219	4	why	why	SCONJ
bracis-33607	219	5	the	the	DET
bracis-33607	219	6	evaluation	evaluation	NOUN
bracis-33607	219	7	measures	measure	NOUN
bracis-33607	219	8	achieved	achieve	VERB
bracis-33607	219	9	high	high	ADJ
bracis-33607	219	10	results	result	NOUN
bracis-33607	219	11	,	,	PUNCT
bracis-33607	219	12	even	even	ADV
bracis-33607	219	13	with	with	ADP
bracis-33607	219	14	very	very	ADV
bracis-33607	219	15	few	few	ADJ
bracis-33607	219	16	proteins	protein	NOUN
bracis-33607	219	17	,	,	PUNCT
bracis-33607	219	18	given	give	VERB
bracis-33607	219	19	that	that	SCONJ
bracis-33607	219	20	these	these	DET
bracis-33607	219	21	located_in	located_in	NOUN
bracis-33607	219	22	features	feature	NOUN
bracis-33607	219	23	will	will	AUX
bracis-33607	219	24	always	always	ADV
bracis-33607	219	25	be	be	AUX
bracis-33607	219	26	great	great	ADJ
bracis-33607	219	27	candidates	candidate	NOUN
bracis-33607	219	28	to	to	PART
bracis-33607	219	29	be	be	AUX
bracis-33607	219	30	the	the	DET
bracis-33607	219	31	best	good	ADJ
bracis-33607	219	32	features	feature	NOUN
bracis-33607	219	33	to	to	PART
bracis-33607	219	34	partition	partition	VERB
bracis-33607	219	35	the	the	DET
bracis-33607	219	36	dataset	dataset	NOUN
bracis-33607	219	37	.	.	PUNCT
bracis-33607	220	1	new	new	ADJ
bracis-33607	220	2	experiments	experiment	NOUN
bracis-33607	220	3	were	be	AUX
bracis-33607	220	4	executed	execute	VERB
bracis-33607	220	5	to	to	PART
bracis-33607	220	6	confirm	confirm	VERB
bracis-33607	220	7	this	this	DET
bracis-33607	220	8	hypothesis	hypothesis	NOUN
bracis-33607	220	9	,	,	PUNCT
bracis-33607	220	10	removing	remove	VERB
bracis-33607	220	11	all	all	DET
bracis-33607	220	12	go	go	VERB
bracis-33607	220	13	terms	term	NOUN
bracis-33607	220	14	of	of	ADP
bracis-33607	220	15	the	the	DET
bracis-33607	220	16	type	type	NOUN
bracis-33607	220	17	located_in	located_in	NOUN
bracis-33607	220	18	.	.	PUNCT
bracis-33607	221	1	table	table	NOUN
bracis-33607	221	2	 	 	SPACE
bracis-33607	221	3	4	4	NUM
bracis-33607	221	4	shows	show	VERB
bracis-33607	221	5	the	the	DET
bracis-33607	221	6	results	result	NOUN
bracis-33607	221	7	of	of	ADP
bracis-33607	221	8	these	these	DET
bracis-33607	221	9	new	new	ADJ
bracis-33607	221	10	experiments	experiment	NOUN
bracis-33607	221	11	.	.	PUNCT
bracis-33607	222	1	again	again	ADV
bracis-33607	222	2	,	,	PUNCT
bracis-33607	222	3	the	the	DET
bracis-33607	222	4	best	good	ADJ
bracis-33607	222	5	results	result	NOUN
bracis-33607	222	6	are	be	AUX
bracis-33607	222	7	highlighted	highlight	VERB
bracis-33607	222	8	in	in	ADP
bracis-33607	222	9	boldface	boldface	NOUN
bracis-33607	222	10	:	:	PUNCT
bracis-33607	222	11	acc	acc	PROPN
bracis-33607	222	12	i	i	PROPN
bracis-33607	222	13	and	and	CCONJ
bracis-33607	222	14	f1	f1	PROPN
bracis-33607	222	15	i	i	PRON
bracis-33607	222	16	stand	stand	VERB
bracis-33607	222	17	for	for	ADP
bracis-33607	222	18	accuracy	accuracy	NOUN
bracis-33607	222	19	and	and	CCONJ
bracis-33607	222	20	f1	f1	NOUN
bracis-33607	222	21	inductive	inductive	ADJ
bracis-33607	222	22	performances	performance	NOUN
bracis-33607	222	23	,	,	PUNCT
bracis-33607	222	24	and	and	CCONJ
bracis-33607	222	25	acc	acc	PROPN
bracis-33607	222	26	t	t	PROPN
bracis-33607	222	27	and	and	CCONJ
bracis-33607	222	28	f1	f1	PROPN
bracis-33607	222	29	t	t	PROPN
bracis-33607	222	30	stand	stand	VERB
bracis-33607	222	31	for	for	ADP
bracis-33607	222	32	accuracy	accuracy	NOUN
bracis-33607	222	33	and	and	CCONJ
bracis-33607	222	34	f1	f1	NOUN
bracis-33607	222	35	transductive	transductive	ADJ
bracis-33607	222	36	performances	performance	NOUN
bracis-33607	222	37	.	.	PUNCT
bracis-33607	223	1	from	from	ADP
bracis-33607	223	2	these	these	DET
bracis-33607	223	3	new	new	ADJ
bracis-33607	223	4	results	result	NOUN
bracis-33607	223	5	,	,	PUNCT
bracis-33607	223	6	we	we	PRON
bracis-33607	223	7	can	can	AUX
bracis-33607	223	8	see	see	VERB
bracis-33607	223	9	that	that	SCONJ
bracis-33607	223	10	our	our	PRON
bracis-33607	223	11	hypothesis	hypothesis	NOUN
bracis-33607	223	12	seems	seem	VERB
bracis-33607	223	13	to	to	PART
bracis-33607	223	14	be	be	AUX
bracis-33607	223	15	correct	correct	ADJ
bracis-33607	223	16	since	since	SCONJ
bracis-33607	223	17	the	the	DET
bracis-33607	223	18	decision	decision	NOUN
bracis-33607	223	19	trees	tree	NOUN
bracis-33607	223	20	trained	train	VERB
bracis-33607	223	21	in	in	ADP
bracis-33607	223	22	the	the	DET
bracis-33607	223	23	datasets	dataset	NOUN
bracis-33607	223	24	without	without	ADP
bracis-33607	223	25	the	the	DET
bracis-33607	223	26	located_in	located_in	ADJ
bracis-33607	223	27	terms	term	NOUN
bracis-33607	223	28	obtained	obtain	VERB
bracis-33607	223	29	much	much	ADV
bracis-33607	223	30	lower	low	ADJ
bracis-33607	223	31	values	value	NOUN
bracis-33607	223	32	for	for	ADP
bracis-33607	223	33	the	the	DET
bracis-33607	223	34	evaluation	evaluation	NOUN
bracis-33607	223	35	measures	measure	NOUN
bracis-33607	223	36	.	.	PUNCT
bracis-33607	224	1	however	however	ADV
bracis-33607	224	2	,	,	PUNCT
bracis-33607	224	3	these	these	DET
bracis-33607	224	4	values	value	NOUN
bracis-33607	224	5	better	well	ADV
bracis-33607	224	6	represent	represent	VERB
bracis-33607	224	7	the	the	DET
bracis-33607	224	8	reality	reality	NOUN
bracis-33607	224	9	of	of	ADP
bracis-33607	224	10	the	the	DET
bracis-33607	224	11	taxonomies	taxonomy	NOUN
bracis-33607	224	12	with	with	ADP
bracis-33607	224	13	few	few	ADJ
bracis-33607	224	14	proteins	protein	NOUN
bracis-33607	224	15	with	with	ADP
bracis-33607	224	16	annotated	annotate	VERB
bracis-33607	224	17	subcellular	subcellular	ADJ
bracis-33607	224	18	localizations	localization	NOUN
bracis-33607	224	19	.	.	PUNCT
bracis-33607	225	1	6	6	NUM
bracis-33607	225	2	conclusions	conclusion	NOUN
bracis-33607	225	3	and	and	CCONJ
bracis-33607	225	4	 	 	SPACE
bracis-33607	225	5	future	future	ADJ
bracis-33607	225	6	work	work	NOUN
bracis-33607	225	7	in	in	ADP
bracis-33607	225	8	this	this	DET
bracis-33607	225	9	paper	paper	NOUN
bracis-33607	225	10	,	,	PUNCT
bracis-33607	225	11	we	we	PRON
bracis-33607	225	12	proposed	propose	VERB
bracis-33607	225	13	a	a	DET
bracis-33607	225	14	semi	semi	ADJ
bracis-33607	225	15	-	-	ADJ
bracis-33607	225	16	supervised	supervised	ADJ
bracis-33607	225	17	predictive	predictive	ADJ
bracis-33607	225	18	clustering	clustering	NOUN
bracis-33607	225	19	tree	tree	NOUN
bracis-33607	225	20	(	(	PUNCT
bracis-33607	225	21	ssl	ssl	ADJ
bracis-33607	225	22	-	-	ADJ
bracis-33607	225	23	pct	pct	NOUN
bracis-33607	225	24	)	)	PUNCT
bracis-33607	225	25	algorithm	algorithm	NOUN
bracis-33607	225	26	capable	capable	ADJ
bracis-33607	225	27	of	of	ADP
bracis-33607	225	28	classifying	classify	VERB
bracis-33607	225	29	multi	multi	ADJ
bracis-33607	225	30	-	-	ADJ
bracis-33607	225	31	label	label	ADJ
bracis-33607	225	32	instances	instance	NOUN
bracis-33607	225	33	exploiting	exploit	VERB
bracis-33607	225	34	labeled	label	VERB
bracis-33607	225	35	and	and	CCONJ
bracis-33607	225	36	unlabeled	unlabeled	ADJ
bracis-33607	225	37	data	datum	NOUN
bracis-33607	225	38	.	.	PUNCT
bracis-33607	226	1	our	our	PRON
bracis-33607	226	2	proposal	proposal	NOUN
bracis-33607	226	3	modifies	modify	VERB
bracis-33607	226	4	the	the	DET
bracis-33607	226	5	clus	clus	ADJ
bracis-33607	226	6	algorithm	algorithm	NOUN
bracis-33607	226	7	 	 	SPACE
bracis-33607	227	1	[	[	X
bracis-33607	227	2	32	32	NUM
bracis-33607	227	3	]	]	PUNCT
bracis-33607	227	4	,	,	PUNCT
bracis-33607	227	5	introducing	introduce	VERB
bracis-33607	227	6	a	a	DET
bracis-33607	227	7	new	new	ADJ
bracis-33607	227	8	impurity	impurity	NOUN
bracis-33607	227	9	measure	measure	NOUN
bracis-33607	227	10	for	for	ADP
bracis-33607	227	11	the	the	DET
bracis-33607	227	12	decision	decision	NOUN
bracis-33607	227	13	tree	tree	NOUN
bracis-33607	227	14	heuristic	heuristic	NOUN
bracis-33607	227	15	.	.	PUNCT
bracis-33607	228	1	our	our	PRON
bracis-33607	228	2	new	new	ADJ
bracis-33607	228	3	impurity	impurity	NOUN
bracis-33607	228	4	uses	use	VERB
bracis-33607	228	5	labeled	label	VERB
bracis-33607	228	6	and	and	CCONJ
bracis-33607	228	7	unlabeled	unlabele	VERB
bracis-33607	228	8	instances	instance	NOUN
bracis-33607	228	9	to	to	PART
bracis-33607	228	10	find	find	VERB
bracis-33607	228	11	the	the	DET
bracis-33607	228	12	best	good	ADJ
bracis-33607	228	13	split	split	NOUN
bracis-33607	228	14	in	in	ADP
bracis-33607	228	15	a	a	DET
bracis-33607	228	16	decision	decision	NOUN
bracis-33607	228	17	tree	tree	NOUN
bracis-33607	228	18	node	node	NOUN
bracis-33607	228	19	.	.	PUNCT
bracis-33607	229	1	our	our	PRON
bracis-33607	229	2	proposed	propose	VERB
bracis-33607	229	3	algorithm	algorithm	NOUN
bracis-33607	229	4	is	be	AUX
bracis-33607	229	5	also	also	ADV
bracis-33607	229	6	flexible	flexible	ADJ
bracis-33607	229	7	,	,	PUNCT
bracis-33607	229	8	as	as	SCONJ
bracis-33607	229	9	we	we	PRON
bracis-33607	229	10	have	have	VERB
bracis-33607	229	11	an	an	DET
bracis-33607	229	12	\(\omega	\(\omega	X
bracis-33607	229	13	\	\	NOUN
bracis-33607	229	14	)	)	PUNCT
bracis-33607	229	15	hyperparameter	hyperparameter	NOUN
bracis-33607	229	16	that	that	PRON
bracis-33607	229	17	controls	control	VERB
bracis-33607	229	18	the	the	DET
bracis-33607	229	19	tree	tree	NOUN
bracis-33607	229	20	’s	’s	PART
bracis-33607	229	21	supervision	supervision	NOUN
bracis-33607	229	22	level	level	NOUN
bracis-33607	229	23	.	.	PUNCT
bracis-33607	230	1	if	if	SCONJ
bracis-33607	230	2	\(\omega	\(\omega	PRON
bracis-33607	230	3	=	=	SYM
bracis-33607	230	4	1\	1\	NUM
bracis-33607	230	5	)	)	PUNCT
bracis-33607	230	6	,	,	PUNCT
bracis-33607	230	7	the	the	DET
bracis-33607	230	8	tree	tree	NOUN
bracis-33607	230	9	acts	act	VERB
bracis-33607	230	10	precisely	precisely	ADV
bracis-33607	230	11	like	like	ADP
bracis-33607	230	12	a	a	DET
bracis-33607	230	13	supervised	supervised	ADJ
bracis-33607	230	14	pct	pct	NOUN
bracis-33607	230	15	.	.	PUNCT
bracis-33607	231	1	if	if	SCONJ
bracis-33607	231	2	\(\omega	\(\omega	PRON
bracis-33607	231	3	=	=	SYM
bracis-33607	231	4	0\	0\	PROPN
bracis-33607	231	5	)	)	PUNCT
bracis-33607	231	6	,	,	PUNCT
bracis-33607	231	7	the	the	DET
bracis-33607	231	8	algorithm	algorithm	NOUN
bracis-33607	231	9	only	only	ADV
bracis-33607	231	10	uses	use	VERB
bracis-33607	231	11	the	the	DET
bracis-33607	231	12	descriptive	descriptive	ADJ
bracis-33607	231	13	features	feature	NOUN
bracis-33607	231	14	from	from	ADP
bracis-33607	231	15	the	the	DET
bracis-33607	231	16	labeled	label	VERB
bracis-33607	231	17	and	and	CCONJ
bracis-33607	231	18	unlabeled	unlabeled	ADJ
bracis-33607	231	19	instances	instance	NOUN
bracis-33607	231	20	to	to	PART
bracis-33607	231	21	construct	construct	VERB
bracis-33607	231	22	the	the	DET
bracis-33607	231	23	tree	tree	NOUN
bracis-33607	231	24	,	,	PUNCT
bracis-33607	231	25	without	without	ADP
bracis-33607	231	26	the	the	DET
bracis-33607	231	27	information	information	NOUN
bracis-33607	231	28	about	about	ADP
bracis-33607	231	29	the	the	DET
bracis-33607	231	30	labels	label	NOUN
bracis-33607	231	31	.	.	PUNCT
bracis-33607	232	1	we	we	PRON
bracis-33607	232	2	applied	apply	VERB
bracis-33607	232	3	our	our	PRON
bracis-33607	232	4	method	method	NOUN
bracis-33607	232	5	to	to	ADP
bracis-33607	232	6	different	different	ADJ
bracis-33607	232	7	protein	protein	NOUN
bracis-33607	232	8	subcellular	subcellular	ADJ
bracis-33607	232	9	localization	localization	NOUN
bracis-33607	232	10	datasets	dataset	NOUN
bracis-33607	232	11	.	.	PUNCT
bracis-33607	233	1	we	we	PRON
bracis-33607	233	2	also	also	ADV
bracis-33607	233	3	compared	compare	VERB
bracis-33607	233	4	many	many	ADJ
bracis-33607	233	5	values	value	NOUN
bracis-33607	233	6	of	of	ADP
bracis-33607	233	7	the	the	DET
bracis-33607	233	8	\(\omega	\(\omega	X
bracis-33607	233	9	\	\	NOUN
bracis-33607	233	10	)	)	PUNCT
bracis-33607	233	11	hyperparameter	hyperparameter	NOUN
bracis-33607	233	12	,	,	PUNCT
bracis-33607	233	13	varying	vary	VERB
bracis-33607	233	14	its	its	PRON
bracis-33607	233	15	value	value	NOUN
bracis-33607	233	16	from	from	ADP
bracis-33607	233	17	0.0	0.0	NUM
bracis-33607	233	18	to	to	ADP
bracis-33607	233	19	1.0	1.0	NUM
bracis-33607	233	20	in	in	ADP
bracis-33607	233	21	steps	step	NOUN
bracis-33607	233	22	of	of	ADP
bracis-33607	233	23	0.2	0.2	NUM
bracis-33607	233	24	.	.	PUNCT
bracis-33607	234	1	we	we	PRON
bracis-33607	234	2	also	also	ADV
bracis-33607	234	3	investigated	investigate	VERB
bracis-33607	234	4	the	the	DET
bracis-33607	234	5	performance	performance	NOUN
bracis-33607	234	6	of	of	ADP
bracis-33607	234	7	ssl	ssl	ADJ
bracis-33607	234	8	-	-	NOUN
bracis-33607	234	9	pct	pct	NOUN
bracis-33607	234	10	when	when	SCONJ
bracis-33607	234	11	used	use	VERB
bracis-33607	234	12	with	with	ADP
bracis-33607	234	13	different	different	ADJ
bracis-33607	234	14	amounts	amount	NOUN
bracis-33607	234	15	of	of	ADP
bracis-33607	234	16	labeled	label	VERB
bracis-33607	234	17	instances	instance	NOUN
bracis-33607	234	18	.	.	PUNCT
bracis-33607	235	1	the	the	DET
bracis-33607	235	2	results	result	NOUN
bracis-33607	235	3	show	show	VERB
bracis-33607	235	4	that	that	SCONJ
bracis-33607	235	5	our	our	PRON
bracis-33607	235	6	new	new	ADJ
bracis-33607	235	7	method	method	NOUN
bracis-33607	235	8	can	can	AUX
bracis-33607	235	9	exploit	exploit	VERB
bracis-33607	235	10	unlabeled	unlabeled	ADJ
bracis-33607	235	11	data	datum	NOUN
bracis-33607	235	12	to	to	PART
bracis-33607	235	13	help	help	VERB
bracis-33607	235	14	the	the	DET
bracis-33607	235	15	classification	classification	NOUN
bracis-33607	235	16	in	in	ADP
bracis-33607	235	17	many	many	ADJ
bracis-33607	235	18	scenarios	scenario	NOUN
bracis-33607	235	19	.	.	PUNCT
bracis-33607	236	1	our	our	PRON
bracis-33607	236	2	experiments	experiment	NOUN
bracis-33607	236	3	showed	show	VERB
bracis-33607	236	4	that	that	SCONJ
bracis-33607	236	5	the	the	DET
bracis-33607	236	6	best	good	ADJ
bracis-33607	236	7	results	result	NOUN
bracis-33607	236	8	typically	typically	ADV
bracis-33607	236	9	relied	rely	VERB
bracis-33607	236	10	only	only	ADV
bracis-33607	236	11	on	on	ADP
bracis-33607	236	12	the	the	DET
bracis-33607	236	13	labeled	label	VERB
bracis-33607	236	14	data	datum	NOUN
bracis-33607	236	15	.	.	PUNCT
bracis-33607	237	1	however	however	ADV
bracis-33607	237	2	,	,	PUNCT
bracis-33607	237	3	the	the	DET
bracis-33607	237	4	experiments	experiment	NOUN
bracis-33607	237	5	also	also	ADV
bracis-33607	237	6	showed	show	VERB
bracis-33607	237	7	that	that	SCONJ
bracis-33607	237	8	the	the	DET
bracis-33607	237	9	unsupervised	unsupervised	ADJ
bracis-33607	237	10	part	part	NOUN
bracis-33607	237	11	of	of	ADP
bracis-33607	237	12	the	the	DET
bracis-33607	237	13	algorithm	algorithm	NOUN
bracis-33607	237	14	can	can	AUX
bracis-33607	237	15	help	help	VERB
bracis-33607	237	16	improve	improve	VERB
bracis-33607	237	17	the	the	DET
bracis-33607	237	18	classification	classification	NOUN
bracis-33607	237	19	results	result	NOUN
bracis-33607	237	20	.	.	PUNCT
bracis-33607	238	1	in	in	ADP
bracis-33607	238	2	future	future	ADJ
bracis-33607	238	3	work	work	NOUN
bracis-33607	238	4	,	,	PUNCT
bracis-33607	238	5	we	we	PRON
bracis-33607	238	6	plan	plan	VERB
bracis-33607	238	7	to	to	PART
bracis-33607	238	8	expand	expand	VERB
bracis-33607	238	9	the	the	DET
bracis-33607	238	10	experiments	experiment	NOUN
bracis-33607	238	11	in	in	ADP
bracis-33607	238	12	various	various	ADJ
bracis-33607	238	13	ways	way	NOUN
bracis-33607	238	14	,	,	PUNCT
bracis-33607	238	15	such	such	ADJ
bracis-33607	238	16	as	as	ADP
bracis-33607	238	17	investigating	investigate	VERB
bracis-33607	238	18	more	more	ADV
bracis-33607	238	19	well	well	ADV
bracis-33607	238	20	-	-	PUNCT
bracis-33607	238	21	known	know	VERB
bracis-33607	238	22	multi	multi	ADJ
bracis-33607	238	23	-	-	ADJ
bracis-33607	238	24	label	label	ADJ
bracis-33607	238	25	datasets	dataset	NOUN
bracis-33607	238	26	,	,	PUNCT
bracis-33607	238	27	better	well	ADV
bracis-33607	238	28	investigating	investigate	VERB
bracis-33607	238	29	the	the	DET
bracis-33607	238	30	variation	variation	NOUN
bracis-33607	238	31	in	in	ADP
bracis-33607	238	32	the	the	DET
bracis-33607	238	33	\(\omega	\(\omega	X
bracis-33607	238	34	\	\	NOUN
bracis-33607	238	35	)	)	PUNCT
bracis-33607	238	36	hyperparameter	hyperparameter	NOUN
bracis-33607	238	37	to	to	PART
bracis-33607	238	38	analyze	analyze	VERB
bracis-33607	238	39	the	the	DET
bracis-33607	238	40	influence	influence	NOUN
bracis-33607	238	41	of	of	ADP
bracis-33607	238	42	the	the	DET
bracis-33607	238	43	level	level	NOUN
bracis-33607	238	44	of	of	ADP
bracis-33607	238	45	supervision	supervision	NOUN
bracis-33607	238	46	in	in	ADP
bracis-33607	238	47	the	the	DET
bracis-33607	238	48	datasets	dataset	NOUN
bracis-33607	238	49	,	,	PUNCT
bracis-33607	238	50	evaluating	evaluate	VERB
bracis-33607	238	51	the	the	DET
bracis-33607	238	52	prediction	prediction	NOUN
bracis-33607	238	53	performance	performance	NOUN
bracis-33607	238	54	with	with	ADP
bracis-33607	238	55	more	more	ADJ
bracis-33607	238	56	multi	multi	ADJ
bracis-33607	238	57	-	-	ADJ
bracis-33607	238	58	label	label	ADJ
bracis-33607	238	59	evaluation	evaluation	NOUN
bracis-33607	238	60	measures	measure	NOUN
bracis-33607	238	61	,	,	PUNCT
bracis-33607	238	62	and	and	CCONJ
bracis-33607	238	63	perform	perform	VERB
bracis-33607	238	64	experiments	experiment	NOUN
bracis-33607	238	65	with	with	ADP
bracis-33607	238	66	more	more	ADJ
bracis-33607	238	67	variations	variation	NOUN
bracis-33607	238	68	in	in	ADP
bracis-33607	238	69	the	the	DET
bracis-33607	238	70	proportions	proportion	NOUN
bracis-33607	238	71	of	of	ADP
bracis-33607	238	72	labeled	label	VERB
bracis-33607	238	73	and	and	CCONJ
bracis-33607	238	74	unlabeled	unlabeled	ADJ
bracis-33607	238	75	data	datum	NOUN
bracis-33607	238	76	in	in	ADP
bracis-33607	238	77	our	our	PRON
bracis-33607	238	78	datasets	dataset	NOUN
bracis-33607	238	79	.	.	PUNCT
bracis-33607	239	1	we	we	PRON
bracis-33607	239	2	will	will	AUX
bracis-33607	239	3	also	also	ADV
bracis-33607	239	4	study	study	VERB
bracis-33607	239	5	the	the	DET
bracis-33607	239	6	possibility	possibility	NOUN
bracis-33607	239	7	of	of	ADP
bracis-33607	239	8	creating	create	VERB
bracis-33607	239	9	semi	semi	ADJ
bracis-33607	239	10	-	-	ADJ
bracis-33607	239	11	supervised	supervised	ADJ
bracis-33607	239	12	learning	learn	VERB
bracis-33607	239	13	random	random	ADJ
bracis-33607	239	14	forests	forest	NOUN
bracis-33607	239	15	within	within	ADP
bracis-33607	239	16	our	our	PRON
bracis-33607	239	17	ssl	ssl	ADJ
bracis-33607	239	18	-	-	NOUN
bracis-33607	239	19	pct	pct	NOUN
bracis-33607	239	20	.	.	PUNCT
bracis-33607	240	1	random	random	ADJ
bracis-33607	240	2	forests	forest	NOUN
bracis-33607	240	3	are	be	AUX
bracis-33607	240	4	one	one	NUM
bracis-33607	240	5	of	of	ADP
bracis-33607	240	6	the	the	DET
bracis-33607	240	7	best	good	ADJ
bracis-33607	240	8	classification	classification	NOUN
bracis-33607	240	9	algorithms	algorithm	NOUN
bracis-33607	240	10	,	,	PUNCT
bracis-33607	240	11	and	and	CCONJ
bracis-33607	240	12	their	their	PRON
bracis-33607	240	13	ability	ability	NOUN
bracis-33607	240	14	to	to	PART
bracis-33607	240	15	generate	generate	VERB
bracis-33607	240	16	a	a	DET
bracis-33607	240	17	feature	feature	NOUN
bracis-33607	240	18	ranking	ranking	NOUN
bracis-33607	240	19	can	can	AUX
bracis-33607	240	20	help	help	VERB
bracis-33607	240	21	define	define	VERB
bracis-33607	240	22	the	the	DET
bracis-33607	240	23	best	good	ADJ
bracis-33607	240	24	features	feature	NOUN
bracis-33607	240	25	in	in	ADP
bracis-33607	240	26	multi	multi	ADJ
bracis-33607	240	27	-	-	ADJ
bracis-33607	240	28	label	label	ADJ
bracis-33607	240	29	datasets	dataset	NOUN
bracis-33607	240	30	.	.	PUNCT
bracis-33607	241	1	we	we	PRON
bracis-33607	241	2	also	also	ADV
bracis-33607	241	3	plan	plan	VERB
bracis-33607	241	4	to	to	PART
bracis-33607	241	5	apply	apply	VERB
bracis-33607	241	6	some	some	DET
bracis-33607	241	7	pre	pre	ADJ
bracis-33607	241	8	-	-	NOUN
bracis-33607	241	9	processing	processing	NOUN
bracis-33607	241	10	to	to	ADP
bracis-33607	241	11	the	the	DET
bracis-33607	241	12	protein	protein	NOUN
bracis-33607	241	13	datasets	dataset	NOUN
bracis-33607	241	14	to	to	PART
bracis-33607	241	15	improve	improve	VERB
bracis-33607	241	16	the	the	DET
bracis-33607	241	17	results	result	NOUN
bracis-33607	241	18	using	use	VERB
bracis-33607	241	19	unlabeled	unlabeled	ADJ
bracis-33607	241	20	data	datum	NOUN
bracis-33607	241	21	.	.	PUNCT
bracis-33607	242	1	since	since	SCONJ
bracis-33607	242	2	,	,	PUNCT
bracis-33607	242	3	in	in	ADP
bracis-33607	242	4	general	general	ADJ
bracis-33607	242	5	,	,	PUNCT
bracis-33607	242	6	only	only	ADV
bracis-33607	242	7	a	a	DET
bracis-33607	242	8	few	few	ADJ
bracis-33607	242	9	features	feature	NOUN
bracis-33607	242	10	are	be	AUX
bracis-33607	242	11	used	use	VERB
bracis-33607	242	12	to	to	PART
bracis-33607	242	13	construct	construct	VERB
bracis-33607	242	14	the	the	DET
bracis-33607	242	15	trees	tree	NOUN
bracis-33607	242	16	,	,	PUNCT
bracis-33607	242	17	there	there	PRON
bracis-33607	242	18	is	be	VERB
bracis-33607	242	19	an	an	DET
bracis-33607	242	20	indication	indication	NOUN
bracis-33607	242	21	that	that	SCONJ
bracis-33607	242	22	we	we	PRON
bracis-33607	242	23	may	may	AUX
bracis-33607	242	24	remove	remove	VERB
bracis-33607	242	25	some	some	DET
bracis-33607	242	26	less	less	ADV
bracis-33607	242	27	important	important	ADJ
bracis-33607	242	28	features	feature	NOUN
bracis-33607	242	29	in	in	ADP
bracis-33607	242	30	the	the	DET
bracis-33607	242	31	used	used	ADJ
bracis-33607	242	32	protein	protein	NOUN
bracis-33607	242	33	datasets	dataset	NOUN
bracis-33607	242	34	.	.	PUNCT
bracis-33607	243	1	notes	note	VERB
bracis-33607	243	2	1.http://ftp.uniprot.org/pub/databases/uniprot/previous_releases/release-2021_03/.	1.http://ftp.uniprot.org/pub/databases/uniprot/previous_releases/release-2021_03/.	PROPN
bracis-33607	243	3	2.http://geneontology.org/docs/go-annotation-file-gaf-format-2.2/.	2.http://geneontology.org/docs/go-annotation-file-gaf-format-2.2/.	PROPN
bracis-33607	243	4	references	reference	NOUN
bracis-33607	243	5	almagro	almagro	PROPN
bracis-33607	243	6	armenteros	armenteros	PROPN
bracis-33607	243	7	,	,	PUNCT
bracis-33607	243	8	j.j	j.j	PROPN
bracis-33607	243	9	.	.	PROPN
bracis-33607	243	10	,	,	PUNCT
bracis-33607	243	11	sønderby	sønderby	PROPN
bracis-33607	243	12	,	,	PUNCT
bracis-33607	243	13	c.k	c.k	PROPN
bracis-33607	243	14	.	.	PROPN
bracis-33607	243	15	,	,	PUNCT
bracis-33607	243	16	sønderby	sønderby	PROPN
bracis-33607	243	17	,	,	PUNCT
bracis-33607	243	18	s.k	s.k	PROPN
bracis-33607	243	19	.	.	PROPN
bracis-33607	243	20	,	,	PUNCT
bracis-33607	243	21	nielsen	nielsen	PROPN
bracis-33607	243	22	,	,	PUNCT
bracis-33607	243	23	h.	h.	PROPN
bracis-33607	243	24	,	,	PUNCT
bracis-33607	243	25	winther	winther	PROPN
bracis-33607	243	26	,	,	PUNCT
bracis-33607	243	27	o.	o.	PROPN
bracis-33607	243	28	:	:	PUNCT
bracis-33607	243	29	deeploc	deeploc	NOUN
bracis-33607	243	30	:	:	PUNCT
bracis-33607	243	31	prediction	prediction	NOUN
bracis-33607	243	32	of	of	ADP
bracis-33607	243	33	protein	protein	NOUN
bracis-33607	243	34	subcellular	subcellular	ADJ
bracis-33607	243	35	localization	localization	NOUN
bracis-33607	243	36	using	use	VERB
bracis-33607	243	37	deep	deep	ADJ
bracis-33607	243	38	learning	learning	NOUN
bracis-33607	243	39	.	.	PUNCT
bracis-33607	244	1	bioinformatics	bioinformatics	NOUN
bracis-33607	244	2	33(21	33(21	NUM
bracis-33607	244	3	)	)	PUNCT
bracis-33607	244	4	,	,	PUNCT
bracis-33607	244	5	3387–3395	3387–3395	PROPN
bracis-33607	244	6	(	(	PUNCT
bracis-33607	244	7	2017	2017	NUM
bracis-33607	244	8	)	)	PUNCT
bracis-33607	244	9	article	article	NOUN
bracis-33607	244	10	  	  	SPACE
bracis-33607	244	11	math	math	NOUN
bracis-33607	244	12	  	  	SPACE
bracis-33607	244	13	google	google	PROPN
bracis-33607	244	14	scholar	scholar	NOUN
bracis-33607	244	15	  	  	SPACE
bracis-33607	244	16	basgalupp	basgalupp	PROPN
bracis-33607	244	17	,	,	PUNCT
bracis-33607	244	18	m.	m.	NOUN
bracis-33607	244	19	,	,	PUNCT
bracis-33607	244	20	cerri	cerri	PROPN
bracis-33607	244	21	,	,	PUNCT
bracis-33607	244	22	r.	r.	PROPN
bracis-33607	244	23	,	,	PUNCT
bracis-33607	244	24	schietgat	schietgat	PROPN
bracis-33607	244	25	,	,	PUNCT
bracis-33607	244	26	l.	l.	PROPN
bracis-33607	244	27	,	,	PUNCT
bracis-33607	244	28	triguero	triguero	PROPN
bracis-33607	244	29	,	,	PUNCT
bracis-33607	244	30	i.	i.	PROPN
bracis-33607	244	31	,	,	PUNCT
bracis-33607	244	32	vens	vens	PROPN
bracis-33607	244	33	,	,	PUNCT
bracis-33607	244	34	c.	c.	NOUN
bracis-33607	244	35	:	:	PUNCT
bracis-33607	244	36	beyond	beyond	ADP
bracis-33607	244	37	global	global	ADJ
bracis-33607	244	38	and	and	CCONJ
bracis-33607	244	39	local	local	ADJ
bracis-33607	244	40	multi	multi	ADJ
bracis-33607	244	41	-	-	ADJ
bracis-33607	244	42	target	target	ADJ
bracis-33607	244	43	learning	learning	NOUN
bracis-33607	244	44	.	.	PUNCT
bracis-33607	245	1	inf	inf	PROPN
bracis-33607	245	2	.	.	PUNCT
bracis-33607	246	1	sci	sci	PROPN
bracis-33607	246	2	.	.	PROPN
bracis-33607	247	1	579	579	NUM
bracis-33607	247	2	,	,	PUNCT
bracis-33607	247	3	508–524	508–524	NUM
bracis-33607	247	4	(	(	PUNCT
bracis-33607	247	5	2021	2021	NUM
bracis-33607	247	6	)	)	PUNCT
bracis-33607	247	7	article	article	NOUN
bracis-33607	247	8	  	  	SPACE
bracis-33607	247	9	mathscinet	mathscinet	NOUN
bracis-33607	247	10	  	  	SPACE
bracis-33607	247	11	math	math	NOUN
bracis-33607	247	12	  	  	SPACE
bracis-33607	247	13	google	google	PROPN
bracis-33607	247	14	scholar	scholar	NOUN
bracis-33607	247	15	  	  	SPACE
bracis-33607	247	16	blockeel	blockeel	NOUN
bracis-33607	247	17	,	,	PUNCT
bracis-33607	247	18	h.	h.	PROPN
bracis-33607	247	19	,	,	PUNCT
bracis-33607	247	20	raedt	raedt	NOUN
bracis-33607	247	21	,	,	PUNCT
bracis-33607	247	22	l.d	l.d	PROPN
bracis-33607	247	23	.	.	PROPN
bracis-33607	247	24	,	,	PUNCT
bracis-33607	247	25	ramon	ramon	PROPN
bracis-33607	247	26	,	,	PUNCT
bracis-33607	247	27	j.	j.	PROPN
bracis-33607	247	28	:	:	PUNCT
bracis-33607	247	29	top	top	ADJ
bracis-33607	247	30	-	-	PUNCT
bracis-33607	247	31	down	down	ADP
bracis-33607	247	32	induction	induction	NOUN
bracis-33607	247	33	of	of	ADP
bracis-33607	247	34	clustering	cluster	VERB
bracis-33607	247	35	trees	tree	NOUN
bracis-33607	247	36	.	.	PUNCT
bracis-33607	248	1	in	in	ADP
bracis-33607	248	2	:	:	PUNCT
bracis-33607	248	3	proceedings	proceeding	NOUN
bracis-33607	248	4	of	of	ADP
bracis-33607	248	5	the	the	DET
bracis-33607	248	6	fifteenth	fifteenth	ADJ
bracis-33607	248	7	international	international	ADJ
bracis-33607	248	8	conference	conference	NOUN
bracis-33607	248	9	on	on	ADP
bracis-33607	248	10	machine	machine	NOUN
bracis-33607	248	11	learning	learning	NOUN
bracis-33607	248	12	,	,	PUNCT
bracis-33607	248	13	icml	icml	VERB
bracis-33607	248	14	1998	1998	NUM
bracis-33607	248	15	,	,	PUNCT
bracis-33607	248	16	pp	pp	ADP
bracis-33607	248	17	.	.	PUNCT
bracis-33607	249	1	55–63	55–63	NUM
bracis-33607	249	2	.	.	PUNCT
bracis-33607	250	1	morgan	morgan	PROPN
bracis-33607	250	2	kaufmann	kaufmann	PROPN
bracis-33607	250	3	publishers	publishers	PROPN
bracis-33607	250	4	inc	inc	PROPN
bracis-33607	251	1	.	.	PROPN
bracis-33607	251	2	(	(	PUNCT
bracis-33607	251	3	1998	1998	NUM
bracis-33607	251	4	)	)	PUNCT
bracis-33607	251	5	google	google	PROPN
bracis-33607	251	6	scholar	scholar	NOUN
bracis-33607	251	7	  	  	SPACE
bracis-33607	251	8	bogatinovski	bogatinovski	NOUN
bracis-33607	251	9	,	,	PUNCT
bracis-33607	251	10	j.	j.	PROPN
bracis-33607	251	11	,	,	PUNCT
bracis-33607	251	12	todorovski	todorovski	PROPN
bracis-33607	251	13	,	,	PUNCT
bracis-33607	251	14	l.	l.	PROPN
bracis-33607	251	15	,	,	PUNCT
bracis-33607	251	16	džeroski	džeroski	PROPN
bracis-33607	251	17	,	,	PUNCT
bracis-33607	251	18	s.	s.	PROPN
bracis-33607	251	19	,	,	PUNCT
bracis-33607	251	20	kocev	kocev	PROPN
bracis-33607	251	21	,	,	PUNCT
bracis-33607	251	22	d.	d.	PROPN
bracis-33607	251	23	:	:	PUNCT
bracis-33607	251	24	comprehensive	comprehensive	ADJ
bracis-33607	251	25	comparative	comparative	ADJ
bracis-33607	251	26	study	study	NOUN
bracis-33607	251	27	of	of	ADP
bracis-33607	251	28	multi	multi	ADJ
bracis-33607	251	29	-	-	ADJ
bracis-33607	251	30	label	label	ADJ
bracis-33607	251	31	classification	classification	NOUN
bracis-33607	251	32	methods	method	NOUN
bracis-33607	251	33	.	.	PUNCT
bracis-33607	252	1	expert	expert	NOUN
bracis-33607	252	2	syst	syst	PROPN
bracis-33607	252	3	.	.	PUNCT
bracis-33607	253	1	appl	appl	PROPN
bracis-33607	253	2	.	.	PROPN
bracis-33607	253	3	203	203	NUM
bracis-33607	253	4	,	,	PUNCT
bracis-33607	253	5	117215	117215	NUM
bracis-33607	253	6	(	(	PUNCT
bracis-33607	253	7	2022	2022	NUM
bracis-33607	253	8	)	)	PUNCT
bracis-33607	253	9	article	article	NOUN
bracis-33607	253	10	  	  	SPACE
bracis-33607	253	11	math	math	NOUN
bracis-33607	253	12	  	  	SPACE
bracis-33607	253	13	google	google	PROPN
bracis-33607	253	14	scholar	scholar	NOUN
bracis-33607	253	15	  	  	SPACE
bracis-33607	253	16	breiman	breiman	NOUN
bracis-33607	253	17	,	,	PUNCT
bracis-33607	253	18	l.	l.	PROPN
bracis-33607	253	19	,	,	PUNCT
bracis-33607	253	20	friedman	friedman	PROPN
bracis-33607	253	21	,	,	PUNCT
bracis-33607	253	22	j.	j.	PROPN
bracis-33607	253	23	,	,	PUNCT
bracis-33607	253	24	olshen	olshen	PROPN
bracis-33607	253	25	,	,	PUNCT
bracis-33607	253	26	r.	r.	PROPN
bracis-33607	253	27	,	,	PUNCT
bracis-33607	253	28	stone	stone	NOUN
bracis-33607	253	29	,	,	PUNCT
bracis-33607	253	30	c.	c.	NOUN
bracis-33607	253	31	:	:	PUNCT
bracis-33607	253	32	classification	classification	NOUN
bracis-33607	253	33	and	and	CCONJ
bracis-33607	253	34	regression	regression	NOUN
bracis-33607	253	35	trees	tree	NOUN
bracis-33607	253	36	.	.	PUNCT
bracis-33607	254	1	wadsworth	wadsworth	NOUN
bracis-33607	254	2	and	and	CCONJ
bracis-33607	254	3	brooks	brooks	PROPN
bracis-33607	254	4	,	,	PUNCT
bracis-33607	254	5	monterey	monterey	NOUN
bracis-33607	254	6	(	(	PUNCT
bracis-33607	254	7	1984	1984	NUM
bracis-33607	254	8	)	)	PUNCT
bracis-33607	254	9	math	math	NOUN
bracis-33607	254	10	  	  	SPACE
bracis-33607	254	11	google	google	PROPN
bracis-33607	254	12	scholar	scholar	NOUN
bracis-33607	254	13	  	  	SPACE
bracis-33607	254	14	cao	cao	PROPN
bracis-33607	254	15	,	,	PUNCT
bracis-33607	254	16	j.	j.	PROPN
bracis-33607	254	17	,	,	PUNCT
bracis-33607	254	18	liu	liu	PROPN
bracis-33607	254	19	,	,	PUNCT
bracis-33607	254	20	w.	w.	PROPN
bracis-33607	254	21	,	,	PUNCT
bracis-33607	254	22	he	he	PRON
bracis-33607	254	23	,	,	PUNCT
bracis-33607	254	24	j.	j.	PROPN
bracis-33607	254	25	,	,	PUNCT
bracis-33607	254	26	gu	gu	PROPN
bracis-33607	254	27	,	,	PUNCT
bracis-33607	254	28	h.	h.	NOUN
bracis-33607	254	29	:	:	PUNCT
bracis-33607	254	30	mining	mining	NOUN
bracis-33607	254	31	proteins	protein	NOUN
bracis-33607	254	32	with	with	ADP
bracis-33607	254	33	non	non	ADJ
bracis-33607	254	34	-	-	ADJ
bracis-33607	254	35	experimental	experimental	ADJ
bracis-33607	254	36	annotations	annotation	NOUN
bracis-33607	254	37	based	base	VERB
bracis-33607	254	38	on	on	ADP
bracis-33607	254	39	an	an	DET
bracis-33607	254	40	active	active	ADJ
bracis-33607	254	41	sample	sample	NOUN
bracis-33607	254	42	selection	selection	NOUN
bracis-33607	254	43	strategy	strategy	NOUN
bracis-33607	254	44	for	for	ADP
bracis-33607	254	45	predicting	predict	VERB
bracis-33607	254	46	protein	protein	NOUN
bracis-33607	254	47	subcellular	subcellular	ADJ
bracis-33607	254	48	localization	localization	NOUN
bracis-33607	254	49	.	.	PUNCT
bracis-33607	255	1	plos	plos	PROPN
bracis-33607	255	2	one	one	NUM
bracis-33607	255	3	8	8	NUM
bracis-33607	255	4	,	,	PUNCT
bracis-33607	255	5	e67343	e67343	PROPN
bracis-33607	255	6	(	(	PUNCT
bracis-33607	255	7	2013	2013	NUM
bracis-33607	255	8	)	)	PUNCT
bracis-33607	255	9	google	google	PROPN
bracis-33607	255	10	scholar	scholar	NOUN
bracis-33607	255	11	  	  	SPACE
bracis-33607	255	12	caragea	caragea	PROPN
bracis-33607	255	13	,	,	PUNCT
bracis-33607	255	14	c.	c.	NOUN
bracis-33607	255	15	,	,	PUNCT
bracis-33607	255	16	caragea	caragea	PROPN
bracis-33607	255	17	,	,	PUNCT
bracis-33607	255	18	d.	d.	PROPN
bracis-33607	255	19	,	,	PUNCT
bracis-33607	255	20	silvescu	silvescu	PROPN
bracis-33607	255	21	,	,	PUNCT
bracis-33607	255	22	a.	a.	NOUN
bracis-33607	255	23	,	,	PUNCT
bracis-33607	255	24	honavar	honavar	NOUN
bracis-33607	255	25	,	,	PUNCT
bracis-33607	255	26	v.	v.	NOUN
bracis-33607	255	27	:	:	PUNCT
bracis-33607	255	28	semi	semi	ADJ
bracis-33607	255	29	-	-	ADJ
bracis-33607	255	30	supervised	supervised	ADJ
bracis-33607	255	31	prediction	prediction	NOUN
bracis-33607	255	32	of	of	ADP
bracis-33607	255	33	protein	protein	NOUN
bracis-33607	255	34	subcellular	subcellular	ADJ
bracis-33607	255	35	localization	localization	NOUN
bracis-33607	255	36	using	use	VERB
bracis-33607	255	37	abstraction	abstraction	NOUN
bracis-33607	255	38	augmented	augment	VERB
bracis-33607	255	39	markov	markov	NOUN
bracis-33607	255	40	models	model	NOUN
bracis-33607	255	41	.	.	PUNCT
bracis-33607	256	1	bmc	bmc	ADJ
bracis-33607	256	2	bioinform	bioinform	NOUN
bracis-33607	256	3	.	.	PUNCT
bracis-33607	257	1	11(suppl	11(suppl	NUM
bracis-33607	257	2	8)	8)	NUM
bracis-33607	257	3	,	,	PUNCT
bracis-33607	257	4	s6	s6	PROPN
bracis-33607	257	5	(	(	PUNCT
bracis-33607	257	6	2010	2010	NUM
bracis-33607	257	7	)	)	PUNCT
bracis-33607	257	8	article	article	NOUN
bracis-33607	257	9	  	  	SPACE
bracis-33607	257	10	math	math	NOUN
bracis-33607	257	11	  	  	SPACE
bracis-33607	257	12	google	google	PROPN
bracis-33607	257	13	scholar	scholar	NOUN
bracis-33607	257	14	  	  	SPACE
bracis-33607	257	15	charte	charte	NOUN
bracis-33607	257	16	,	,	PUNCT
bracis-33607	257	17	f.	f.	PROPN
bracis-33607	257	18	,	,	PUNCT
bracis-33607	257	19	rivera	rivera	PROPN
bracis-33607	257	20	,	,	PUNCT
bracis-33607	257	21	a.j	a.j	PROPN
bracis-33607	257	22	.	.	PROPN
bracis-33607	257	23	,	,	PUNCT
bracis-33607	257	24	del	del	PROPN
bracis-33607	257	25	jesus	jesus	PROPN
bracis-33607	257	26	,	,	PUNCT
bracis-33607	257	27	m.j	m.j	PROPN
bracis-33607	257	28	.	.	PROPN
bracis-33607	257	29	,	,	PUNCT
bracis-33607	257	30	herrera	herrera	PROPN
bracis-33607	257	31	,	,	PUNCT
bracis-33607	257	32	f.	f.	PROPN
bracis-33607	257	33	:	:	PUNCT
bracis-33607	257	34	addressing	address	VERB
bracis-33607	257	35	imbalance	imbalance	NOUN
bracis-33607	257	36	in	in	ADP
bracis-33607	257	37	multilabel	multilabel	NOUN
bracis-33607	257	38	classification	classification	NOUN
bracis-33607	257	39	:	:	PUNCT
bracis-33607	257	40	measures	measure	NOUN
bracis-33607	257	41	and	and	CCONJ
bracis-33607	257	42	random	random	ADJ
bracis-33607	257	43	resampling	resample	VERB
bracis-33607	257	44	algorithms	algorithm	NOUN
bracis-33607	257	45	.	.	PUNCT
bracis-33607	258	1	neurocomputing	neurocompute	VERB
bracis-33607	258	2	163	163	NUM
bracis-33607	258	3	,	,	PUNCT
bracis-33607	258	4	3–16	3–16	PROPN
bracis-33607	258	5	(	(	PUNCT
bracis-33607	258	6	2015	2015	NUM
bracis-33607	258	7	)	)	PUNCT
bracis-33607	258	8	article	article	NOUN
bracis-33607	258	9	  	  	SPACE
bracis-33607	258	10	google	google	PROPN
bracis-33607	258	11	scholar	scholar	NOUN
bracis-33607	258	12	  	  	SPACE
bracis-33607	258	13	cui	cui	PROPN
bracis-33607	258	14	,	,	PUNCT
bracis-33607	258	15	q.	q.	PROPN
bracis-33607	258	16	,	,	PUNCT
bracis-33607	258	17	jiangemail	jiangemail	NOUN
bracis-33607	258	18	,	,	PUNCT
bracis-33607	258	19	t.	t.	PROPN
bracis-33607	258	20	,	,	PUNCT
bracis-33607	258	21	liu	liu	PROPN
bracis-33607	258	22	,	,	PUNCT
bracis-33607	258	23	b.	b.	PROPN
bracis-33607	258	24	,	,	PUNCT
bracis-33607	258	25	ma	ma	PROPN
bracis-33607	258	26	,	,	PUNCT
bracis-33607	258	27	s.	s.	PROPN
bracis-33607	258	28	:	:	PUNCT
bracis-33607	259	1	esub8	esub8	NOUN
bracis-33607	259	2	:	:	PUNCT
bracis-33607	259	3	a	a	DET
bracis-33607	259	4	novel	novel	ADJ
bracis-33607	259	5	tool	tool	NOUN
bracis-33607	259	6	to	to	PART
bracis-33607	259	7	predict	predict	VERB
bracis-33607	259	8	protein	protein	NOUN
bracis-33607	259	9	subcellular	subcellular	ADJ
bracis-33607	259	10	localizations	localization	NOUN
bracis-33607	259	11	in	in	ADP
bracis-33607	259	12	eukaryotic	eukaryotic	ADJ
bracis-33607	259	13	organisms	organism	NOUN
bracis-33607	259	14	.	.	PUNCT
bracis-33607	260	1	bmc	bmc	ADJ
bracis-33607	260	2	bioinform	bioinform	NOUN
bracis-33607	260	3	.	.	PUNCT
bracis-33607	261	1	5	5	NUM
bracis-33607	261	2	,	,	PUNCT
bracis-33607	261	3	66	66	NUM
bracis-33607	261	4	(	(	PUNCT
bracis-33607	261	5	2004	2004	NUM
bracis-33607	261	6	)	)	PUNCT
bracis-33607	261	7	article	article	NOUN
bracis-33607	261	8	  	  	SPACE
bracis-33607	261	9	google	google	PROPN
bracis-33607	261	10	scholar	scholar	NOUN
bracis-33607	261	11	  	  	SPACE
bracis-33607	261	12	džeroski	džeroski	NOUN
bracis-33607	261	13	,	,	PUNCT
bracis-33607	261	14	s.	s.	PROPN
bracis-33607	261	15	,	,	PUNCT
bracis-33607	261	16	gjorgjioski	gjorgjioski	PROPN
bracis-33607	261	17	,	,	PUNCT
bracis-33607	261	18	v.	v.	PROPN
bracis-33607	261	19	,	,	PUNCT
bracis-33607	261	20	slavkov	slavkov	PROPN
bracis-33607	261	21	,	,	PUNCT
bracis-33607	261	22	i.	i.	PROPN
bracis-33607	261	23	,	,	PUNCT
bracis-33607	261	24	struyf	struyf	PROPN
bracis-33607	261	25	,	,	PUNCT
bracis-33607	261	26	j.	j.	PROPN
bracis-33607	261	27	:	:	PUNCT
bracis-33607	261	28	analysis	analysis	NOUN
bracis-33607	261	29	of	of	ADP
bracis-33607	261	30	time	time	NOUN
bracis-33607	261	31	series	series	PROPN
bracis-33607	261	32	data	datum	NOUN
bracis-33607	261	33	with	with	ADP
bracis-33607	261	34	predictive	predictive	ADJ
bracis-33607	261	35	clustering	clustering	ADJ
bracis-33607	261	36	trees	tree	NOUN
bracis-33607	261	37	.	.	PUNCT
bracis-33607	262	1	in	in	ADP
bracis-33607	262	2	:	:	PUNCT
bracis-33607	262	3	džeroski	džeroski	PROPN
bracis-33607	262	4	,	,	PUNCT
bracis-33607	262	5	s.	s.	PROPN
bracis-33607	262	6	,	,	PUNCT
bracis-33607	262	7	struyf	struyf	PROPN
bracis-33607	262	8	,	,	PUNCT
bracis-33607	262	9	j.	j.	PROPN
bracis-33607	262	10	(	(	PUNCT
bracis-33607	262	11	eds	eds	PROPN
bracis-33607	262	12	.	.	PUNCT
bracis-33607	262	13	)	)	PUNCT
bracis-33607	263	1	kdid	kdid	PROPN
bracis-33607	263	2	2006	2006	NUM
bracis-33607	263	3	.	.	PUNCT
bracis-33607	264	1	lncs	lncs	PROPN
bracis-33607	264	2	,	,	PUNCT
bracis-33607	264	3	vol	vol	NOUN
bracis-33607	264	4	.	.	PROPN
bracis-33607	264	5	4747	4747	NUM
bracis-33607	264	6	,	,	PUNCT
bracis-33607	264	7	pp	pp	ADJ
bracis-33607	264	8	.	.	PUNCT
bracis-33607	265	1	63–80	63–80	NUM
bracis-33607	265	2	.	.	PUNCT
bracis-33607	266	1	springer	springer	PROPN
bracis-33607	266	2	,	,	PUNCT
bracis-33607	266	3	heidelberg	heidelberg	PROPN
bracis-33607	266	4	(	(	PUNCT
bracis-33607	266	5	2007	2007	NUM
bracis-33607	266	6	)	)	PUNCT
bracis-33607	266	7	.	.	PUNCT
bracis-33607	267	1	https://doi.org/10.1007/978-3-540-75549-4_5	https://doi.org/10.1007/978-3-540-75549-4_5	PROPN
bracis-33607	267	2	chapter	chapter	NOUN
bracis-33607	267	3	  	  	SPACE
bracis-33607	267	4	math	math	NOUN
bracis-33607	267	5	  	  	SPACE
bracis-33607	267	6	google	google	PROPN
bracis-33607	267	7	scholar	scholar	NOUN
bracis-33607	267	8	  	  	SPACE
bracis-33607	267	9	godbole	godbole	NOUN
bracis-33607	267	10	,	,	PUNCT
bracis-33607	267	11	s.	s.	PROPN
bracis-33607	267	12	,	,	PUNCT
bracis-33607	267	13	sarawagi	sarawagi	PROPN
bracis-33607	267	14	,	,	PUNCT
bracis-33607	267	15	s.	s.	PROPN
bracis-33607	267	16	:	:	PUNCT
bracis-33607	267	17	discriminative	discriminative	NOUN
bracis-33607	267	18	methods	method	NOUN
bracis-33607	267	19	for	for	ADP
bracis-33607	267	20	multi	multi	ADJ
bracis-33607	267	21	-	-	ADJ
bracis-33607	267	22	labeled	label	VERB
bracis-33607	267	23	classification	classification	NOUN
bracis-33607	267	24	.	.	PUNCT
bracis-33607	268	1	in	in	ADP
bracis-33607	268	2	:	:	PUNCT
bracis-33607	268	3	dai	dai	PROPN
bracis-33607	268	4	,	,	PUNCT
bracis-33607	268	5	h.	h.	PROPN
bracis-33607	268	6	,	,	PUNCT
bracis-33607	268	7	srikant	srikant	PROPN
bracis-33607	268	8	,	,	PUNCT
bracis-33607	268	9	r.	r.	PROPN
bracis-33607	268	10	,	,	PUNCT
bracis-33607	268	11	zhang	zhang	PROPN
bracis-33607	268	12	,	,	PUNCT
bracis-33607	268	13	c.	c.	PROPN
bracis-33607	268	14	(	(	PUNCT
bracis-33607	268	15	eds	eds	PROPN
bracis-33607	268	16	.	.	PUNCT
bracis-33607	268	17	)	)	PUNCT
bracis-33607	268	18	pakdd	pakdd	VERB
bracis-33607	268	19	2004	2004	NUM
bracis-33607	268	20	.	.	PUNCT
bracis-33607	269	1	lncs	lncs	PROPN
bracis-33607	269	2	(	(	PUNCT
bracis-33607	269	3	lnai	lnai	ADJ
bracis-33607	269	4	)	)	PUNCT
bracis-33607	269	5	,	,	PUNCT
bracis-33607	269	6	vol	vol	NOUN
bracis-33607	269	7	.	.	PROPN
bracis-33607	269	8	3056	3056	NUM
bracis-33607	269	9	,	,	PUNCT
bracis-33607	269	10	pp	pp	ADJ
bracis-33607	269	11	.	.	PUNCT
bracis-33607	270	1	22–30	22–30	NUM
bracis-33607	270	2	.	.	PUNCT
bracis-33607	271	1	springer	springer	PROPN
bracis-33607	271	2	,	,	PUNCT
bracis-33607	271	3	heidelberg	heidelberg	PROPN
bracis-33607	271	4	(	(	PUNCT
bracis-33607	271	5	2004	2004	NUM
bracis-33607	271	6	)	)	PUNCT
bracis-33607	271	7	.	.	PUNCT
bracis-33607	272	1	https://doi.org/10.1007/978-3-540-24775-3_5	https://doi.org/10.1007/978-3-540-24775-3_5	PROPN
bracis-33607	272	2	chapter	chapter	NOUN
bracis-33607	272	3	  	  	SPACE
bracis-33607	272	4	math	math	NOUN
bracis-33607	272	5	  	  	SPACE
bracis-33607	272	6	google	google	PROPN
bracis-33607	272	7	scholar	scholar	NOUN
bracis-33607	272	8	  	  	SPACE
bracis-33607	272	9	guo	guo	PROPN
bracis-33607	272	10	,	,	PUNCT
bracis-33607	272	11	x.	x.	PROPN
bracis-33607	272	12	,	,	PUNCT
bracis-33607	272	13	liu	liu	PROPN
bracis-33607	272	14	,	,	PUNCT
bracis-33607	272	15	f.	f.	PROPN
bracis-33607	272	16	,	,	PUNCT
bracis-33607	272	17	ju	ju	PROPN
bracis-33607	272	18	,	,	PUNCT
bracis-33607	272	19	y.	y.	PROPN
bracis-33607	272	20	,	,	PUNCT
bracis-33607	272	21	wang	wang	PROPN
bracis-33607	272	22	,	,	PUNCT
bracis-33607	272	23	z.	z.	PROPN
bracis-33607	272	24	,	,	PUNCT
bracis-33607	272	25	wang	wang	PROPN
bracis-33607	272	26	,	,	PUNCT
bracis-33607	272	27	c.	c.	PROPN
bracis-33607	272	28	:	:	PUNCT
bracis-33607	272	29	human	human	ADJ
bracis-33607	272	30	protein	protein	NOUN
bracis-33607	272	31	subcellular	subcellular	ADJ
bracis-33607	272	32	localization	localization	NOUN
bracis-33607	272	33	with	with	ADP
bracis-33607	272	34	integrated	integrate	VERB
bracis-33607	272	35	source	source	NOUN
bracis-33607	272	36	and	and	CCONJ
bracis-33607	272	37	multi	multi	ADJ
bracis-33607	272	38	-	-	ADJ
bracis-33607	272	39	label	label	ADJ
bracis-33607	272	40	ensemble	ensemble	ADJ
bracis-33607	272	41	classifier	classifier	NOUN
bracis-33607	272	42	.	.	PUNCT
bracis-33607	273	1	sci	sci	PROPN
bracis-33607	273	2	.	.	PROPN
bracis-33607	273	3	rep	rep	PROPN
bracis-33607	273	4	.	.	PROPN
bracis-33607	273	5	6	6	NUM
bracis-33607	273	6	,	,	PUNCT
bracis-33607	273	7	28087	28087	NUM
bracis-33607	273	8	(	(	PUNCT
bracis-33607	273	9	2016	2016	NUM
bracis-33607	273	10	)	)	PUNCT
bracis-33607	273	11	google	google	PROPN
bracis-33607	273	12	scholar	scholar	NOUN
bracis-33607	273	13	  	  	SPACE
bracis-33607	273	14	harris	harris	PROPN
bracis-33607	273	15	,	,	PUNCT
bracis-33607	273	16	m.a	m.a	PROPN
bracis-33607	273	17	.	.	PROPN
bracis-33607	273	18	,	,	PUNCT
bracis-33607	273	19	clark	clark	PROPN
bracis-33607	273	20	,	,	PUNCT
bracis-33607	273	21	j.	j.	PROPN
bracis-33607	273	22	,	,	PUNCT
bracis-33607	273	23	ireland	ireland	PROPN
bracis-33607	273	24	,	,	PUNCT
bracis-33607	273	25	a.	a.	NOUN
bracis-33607	273	26	:	:	PUNCT
bracis-33607	273	27	the	the	DET
bracis-33607	273	28	gene	gene	NOUN
bracis-33607	273	29	ontology	ontology	NOUN
bracis-33607	273	30	(	(	PUNCT
bracis-33607	273	31	go	go	VERB
bracis-33607	273	32	)	)	PUNCT
bracis-33607	273	33	database	database	NOUN
bracis-33607	273	34	and	and	CCONJ
bracis-33607	273	35	informatics	informatics	PROPN
bracis-33607	273	36	resource	resource	NOUN
bracis-33607	273	37	.	.	PUNCT
bracis-33607	274	1	nucl	nucl	PROPN
bracis-33607	274	2	.	.	PUNCT
bracis-33607	275	1	acids	acid	NOUN
bracis-33607	275	2	res	re	NOUN
bracis-33607	275	3	32	32	NUM
bracis-33607	275	4	,	,	PUNCT
bracis-33607	275	5	d258	d258	PROPN
bracis-33607	275	6	-	-	SYM
bracis-33607	275	7	61	61	NUM
bracis-33607	275	8	(	(	PUNCT
bracis-33607	275	9	2004	2004	NUM
bracis-33607	275	10	)	)	PUNCT
bracis-33607	275	11	google	google	PROPN
bracis-33607	275	12	scholar	scholar	NOUN
bracis-33607	275	13	  	  	SPACE
bracis-33607	275	14	hawkins	hawkin	NOUN
bracis-33607	275	15	,	,	PUNCT
bracis-33607	275	16	d.m	d.m	PROPN
bracis-33607	275	17	.	.	PUNCT
bracis-33607	275	18	:	:	PUNCT
bracis-33607	276	1	the	the	DET
bracis-33607	276	2	problem	problem	NOUN
bracis-33607	276	3	of	of	ADP
bracis-33607	276	4	overfitting	overfitte	VERB
bracis-33607	276	5	.	.	PUNCT
bracis-33607	277	1	j.	j.	PROPN
bracis-33607	277	2	chem	chem	PROPN
bracis-33607	277	3	.	.	PUNCT
bracis-33607	278	1	inf	inf	PROPN
bracis-33607	278	2	.	.	PUNCT
bracis-33607	278	3	comput	comput	PROPN
bracis-33607	278	4	.	.	PUNCT
bracis-33607	279	1	sci	sci	PROPN
bracis-33607	279	2	.	.	PROPN
bracis-33607	279	3	44	44	NUM
bracis-33607	279	4	,	,	PUNCT
bracis-33607	279	5	1–12	1–12	PROPN
bracis-33607	279	6	(	(	PUNCT
bracis-33607	279	7	2004	2004	NUM
bracis-33607	279	8	)	)	PUNCT
bracis-33607	279	9	article	article	NOUN
bracis-33607	279	10	  	  	SPACE
bracis-33607	279	11	math	math	NOUN
bracis-33607	279	12	  	  	SPACE
bracis-33607	279	13	google	google	PROPN
bracis-33607	279	14	scholar	scholar	NOUN
bracis-33607	279	15	  	  	SPACE
bracis-33607	279	16	huntley	huntley	PROPN
bracis-33607	279	17	,	,	PUNCT
bracis-33607	279	18	r.p	r.p	PROPN
bracis-33607	279	19	.	.	PROPN
bracis-33607	279	20	,	,	PUNCT
bracis-33607	279	21	et	et	PROPN
bracis-33607	279	22	al	al	PROPN
bracis-33607	279	23	.	.	PROPN
bracis-33607	279	24	:	:	PUNCT
bracis-33607	280	1	the	the	DET
bracis-33607	280	2	goa	goa	PROPN
bracis-33607	280	3	database	database	NOUN
bracis-33607	280	4	:	:	PUNCT
bracis-33607	280	5	gene	gene	NOUN
bracis-33607	280	6	ontology	ontology	NOUN
bracis-33607	280	7	annotation	annotation	NOUN
bracis-33607	280	8	updates	update	VERB
bracis-33607	280	9	for	for	ADP
bracis-33607	280	10	2015	2015	NUM
bracis-33607	280	11	.	.	PUNCT
bracis-33607	281	1	nucl	nucl	PROPN
bracis-33607	281	2	.	.	PUNCT
bracis-33607	282	1	acids	acid	NOUN
bracis-33607	282	2	res	re	NOUN
bracis-33607	282	3	.	.	PROPN
bracis-33607	283	1	43	43	NUM
bracis-33607	283	2	,	,	PUNCT
bracis-33607	283	3	d1057	d1057	NOUN
bracis-33607	283	4	–	–	PUNCT
bracis-33607	283	5	d1063	d1063	NOUN
bracis-33607	283	6	(	(	PUNCT
bracis-33607	283	7	2015	2015	NUM
bracis-33607	283	8	)	)	PUNCT
bracis-33607	283	9	article	article	NOUN
bracis-33607	283	10	  	  	SPACE
bracis-33607	283	11	math	math	NOUN
bracis-33607	283	12	  	  	SPACE
bracis-33607	283	13	google	google	PROPN
bracis-33607	283	14	scholar	scholar	NOUN
bracis-33607	283	15	  	  	SPACE
bracis-33607	283	16	kocev	kocev	PROPN
bracis-33607	283	17	,	,	PUNCT
bracis-33607	283	18	d.	d.	PROPN
bracis-33607	283	19	,	,	PUNCT
bracis-33607	283	20	slavkov	slavkov	PROPN
bracis-33607	283	21	,	,	PUNCT
bracis-33607	283	22	i.	i.	NOUN
bracis-33607	283	23	,	,	PUNCT
bracis-33607	283	24	dzeroski	dzeroski	PROPN
bracis-33607	283	25	,	,	PUNCT
bracis-33607	283	26	s.	s.	PROPN
bracis-33607	283	27	:	:	PUNCT
bracis-33607	283	28	feature	feature	NOUN
bracis-33607	283	29	ranking	rank	VERB
bracis-33607	283	30	for	for	ADP
bracis-33607	283	31	multi	multi	ADJ
bracis-33607	283	32	-	-	ADJ
bracis-33607	283	33	label	label	ADJ
bracis-33607	283	34	classification	classification	NOUN
bracis-33607	283	35	using	use	VERB
bracis-33607	283	36	predictive	predictive	ADJ
bracis-33607	283	37	clustering	clustering	ADJ
bracis-33607	283	38	trees	tree	NOUN
bracis-33607	283	39	.	.	PUNCT
bracis-33607	284	1	in	in	ADP
bracis-33607	284	2	:	:	PUNCT
bracis-33607	284	3	proceedings	proceeding	NOUN
bracis-33607	284	4	of	of	ADP
bracis-33607	284	5	companion	companion	NOUN
bracis-33607	284	6	publication	publication	NOUN
bracis-33607	284	7	of	of	ADP
bracis-33607	284	8	the	the	DET
bracis-33607	284	9	european	european	PROPN
bracis-33607	284	10	conference	conference	PROPN
bracis-33607	284	11	on	on	ADP
bracis-33607	284	12	machine	machine	NOUN
bracis-33607	284	13	learning	learning	NOUN
bracis-33607	284	14	and	and	CCONJ
bracis-33607	284	15	knowledge	knowledge	NOUN
bracis-33607	284	16	discovery	discovery	NOUN
bracis-33607	284	17	in	in	ADP
bracis-33607	284	18	databases	database	NOUN
bracis-33607	284	19	(	(	PUNCT
bracis-33607	284	20	2013	2013	NUM
bracis-33607	284	21	)	)	PUNCT
bracis-33607	284	22	google	google	PROPN
bracis-33607	284	23	scholar	scholar	NOUN
bracis-33607	284	24	  	  	SPACE
bracis-33607	284	25	levatić	levatić	NOUN
bracis-33607	284	26	,	,	PUNCT
bracis-33607	284	27	j.	j.	PROPN
bracis-33607	284	28	,	,	PUNCT
bracis-33607	284	29	ceci	ceci	PROPN
bracis-33607	284	30	,	,	PUNCT
bracis-33607	284	31	m.	m.	NOUN
bracis-33607	284	32	,	,	PUNCT
bracis-33607	284	33	kocev	kocev	PROPN
bracis-33607	284	34	,	,	PUNCT
bracis-33607	284	35	d.	d.	PROPN
bracis-33607	284	36	,	,	PUNCT
bracis-33607	284	37	dźeroski	dźeroski	PROPN
bracis-33607	284	38	,	,	PUNCT
bracis-33607	284	39	s.	s.	PROPN
bracis-33607	284	40	:	:	PUNCT
bracis-33607	284	41	semi	semi	ADJ
bracis-33607	284	42	-	-	ADJ
bracis-33607	284	43	supervised	supervised	ADJ
bracis-33607	284	44	classification	classification	NOUN
bracis-33607	284	45	trees	tree	NOUN
bracis-33607	284	46	.	.	PUNCT
bracis-33607	285	1	j.	j.	PROPN
bracis-33607	285	2	intell	intell	PROPN
bracis-33607	285	3	.	.	PUNCT
bracis-33607	286	1	inf	inf	PROPN
bracis-33607	286	2	.	.	PUNCT
bracis-33607	286	3	syst	syst	PROPN
bracis-33607	286	4	.	.	PUNCT
bracis-33607	287	1	49(3	49(3	NUM
bracis-33607	287	2	)	)	PUNCT
bracis-33607	287	3	,	,	PUNCT
bracis-33607	287	4	461–486	461–486	NUM
bracis-33607	287	5	(	(	PUNCT
bracis-33607	287	6	2017	2017	NUM
bracis-33607	287	7	)	)	PUNCT
bracis-33607	287	8	article	article	NOUN
bracis-33607	287	9	  	  	SPACE
bracis-33607	287	10	math	math	NOUN
bracis-33607	287	11	  	  	SPACE
bracis-33607	287	12	google	google	PROPN
bracis-33607	287	13	scholar	scholar	NOUN
bracis-33607	287	14	  	  	SPACE
bracis-33607	287	15	madjarov	madjarov	NOUN
bracis-33607	287	16	,	,	PUNCT
bracis-33607	287	17	g.	g.	PROPN
bracis-33607	287	18	,	,	PUNCT
bracis-33607	287	19	kocev	kocev	PROPN
bracis-33607	287	20	,	,	PUNCT
bracis-33607	287	21	d.	d.	PROPN
bracis-33607	287	22	,	,	PUNCT
bracis-33607	287	23	gjorgjevikj	gjorgjevikj	PROPN
bracis-33607	287	24	,	,	PUNCT
bracis-33607	287	25	d.	d.	PROPN
bracis-33607	287	26	,	,	PUNCT
bracis-33607	287	27	džeroski	džeroski	PROPN
bracis-33607	287	28	,	,	PUNCT
bracis-33607	287	29	s.	s.	PROPN
bracis-33607	287	30	:	:	PUNCT
bracis-33607	287	31	an	an	DET
bracis-33607	287	32	extensive	extensive	ADJ
bracis-33607	287	33	experimental	experimental	ADJ
bracis-33607	287	34	comparison	comparison	NOUN
bracis-33607	287	35	of	of	ADP
bracis-33607	287	36	methods	method	NOUN
bracis-33607	287	37	for	for	ADP
bracis-33607	287	38	multi	multi	ADJ
bracis-33607	287	39	-	-	ADJ
bracis-33607	287	40	label	label	ADJ
bracis-33607	287	41	learning	learning	NOUN
bracis-33607	287	42	.	.	PUNCT
bracis-33607	288	1	pattern	pattern	NOUN
bracis-33607	288	2	recogn	recogn	PROPN
bracis-33607	288	3	.	.	PUNCT
bracis-33607	289	1	45(9	45(9	NUM
bracis-33607	289	2	)	)	PUNCT
bracis-33607	289	3	,	,	PUNCT
bracis-33607	289	4	3084–3104	3084–3104	X
bracis-33607	289	5	(	(	PUNCT
bracis-33607	289	6	2012	2012	NUM
bracis-33607	289	7	)	)	PUNCT
bracis-33607	289	8	article	article	NOUN
bracis-33607	289	9	  	  	SPACE
bracis-33607	289	10	math	math	NOUN
bracis-33607	289	11	  	  	SPACE
bracis-33607	289	12	google	google	PROPN
bracis-33607	289	13	scholar	scholar	NOUN
bracis-33607	289	14	  	  	SPACE
bracis-33607	289	15	pise	pise	NOUN
bracis-33607	289	16	,	,	PUNCT
bracis-33607	289	17	n.n	n.n	PROPN
bracis-33607	289	18	.	.	PROPN
bracis-33607	289	19	,	,	PUNCT
bracis-33607	289	20	kulkarni	kulkarni	PROPN
bracis-33607	289	21	,	,	PUNCT
bracis-33607	289	22	p.	p.	NOUN
bracis-33607	289	23	:	:	PUNCT
bracis-33607	289	24	a	a	DET
bracis-33607	289	25	survey	survey	NOUN
bracis-33607	289	26	of	of	ADP
bracis-33607	289	27	semi	semi	ADJ
bracis-33607	289	28	-	-	ADJ
bracis-33607	289	29	supervised	supervised	ADJ
bracis-33607	289	30	learning	learning	NOUN
bracis-33607	289	31	methods	method	NOUN
bracis-33607	289	32	.	.	PUNCT
bracis-33607	290	1	in	in	ADP
bracis-33607	290	2	:	:	PUNCT
bracis-33607	290	3	2008	2008	NUM
bracis-33607	290	4	international	international	ADJ
bracis-33607	290	5	conference	conference	NOUN
bracis-33607	290	6	on	on	ADP
bracis-33607	290	7	computational	computational	ADJ
bracis-33607	290	8	intelligence	intelligence	NOUN
bracis-33607	290	9	and	and	CCONJ
bracis-33607	290	10	security	security	NOUN
bracis-33607	290	11	,	,	PUNCT
bracis-33607	290	12	vol	vol	NOUN
bracis-33607	290	13	.	.	PUNCT
bracis-33607	290	14	 	 	SPACE
bracis-33607	290	15	2	2	NUM
bracis-33607	290	16	,	,	PUNCT
bracis-33607	290	17	pp	pp	ADJ
bracis-33607	290	18	.	.	PUNCT
bracis-33607	291	1	30–34	30–34	NUM
bracis-33607	291	2	(	(	PUNCT
bracis-33607	291	3	2008	2008	NUM
bracis-33607	291	4	)	)	PUNCT
bracis-33607	291	5	google	google	PROPN
bracis-33607	291	6	scholar	scholar	NOUN
bracis-33607	291	7	  	  	SPACE
bracis-33607	291	8	pliakos	pliakos	NOUN
bracis-33607	291	9	,	,	PUNCT
bracis-33607	291	10	k.	k.	PROPN
bracis-33607	291	11	,	,	PUNCT
bracis-33607	291	12	vens	vens	PROPN
bracis-33607	291	13	,	,	PUNCT
bracis-33607	291	14	c.	c.	NOUN
bracis-33607	291	15	:	:	PUNCT
bracis-33607	291	16	drug	drug	NOUN
bracis-33607	291	17	-	-	PUNCT
bracis-33607	291	18	target	target	NOUN
bracis-33607	291	19	interaction	interaction	NOUN
bracis-33607	291	20	prediction	prediction	NOUN
bracis-33607	291	21	with	with	ADP
bracis-33607	291	22	tree	tree	NOUN
bracis-33607	291	23	-	-	PUNCT
bracis-33607	291	24	ensemble	ensemble	ADJ
bracis-33607	291	25	learning	learning	NOUN
bracis-33607	291	26	and	and	CCONJ
bracis-33607	291	27	output	output	NOUN
bracis-33607	291	28	space	space	NOUN
bracis-33607	291	29	reconstruction	reconstruction	NOUN
bracis-33607	291	30	.	.	PUNCT
bracis-33607	292	1	bmc	bmc	ADJ
bracis-33607	292	2	bioinform	bioinform	NOUN
bracis-33607	292	3	.	.	PUNCT
bracis-33607	293	1	21	21	NUM
bracis-33607	293	2	(	(	PUNCT
bracis-33607	293	3	2020	2020	NUM
bracis-33607	293	4	)	)	PUNCT
bracis-33607	293	5	google	google	PROPN
bracis-33607	293	6	scholar	scholar	NOUN
bracis-33607	293	7	  	  	SPACE
bracis-33607	293	8	rey	rey	PROPN
bracis-33607	293	9	,	,	PUNCT
bracis-33607	293	10	s.	s.	PROPN
bracis-33607	293	11	,	,	PUNCT
bracis-33607	293	12	gardy	gardy	PROPN
bracis-33607	293	13	,	,	PUNCT
bracis-33607	293	14	j.l	j.l	PROPN
bracis-33607	293	15	.	.	PROPN
bracis-33607	293	16	,	,	PUNCT
bracis-33607	293	17	brinkman	brinkman	PROPN
bracis-33607	293	18	,	,	PUNCT
bracis-33607	293	19	f.s	f.s	PROPN
bracis-33607	293	20	.	.	PROPN
bracis-33607	293	21	:	:	PUNCT
bracis-33607	293	22	assessing	assess	VERB
bracis-33607	293	23	the	the	DET
bracis-33607	293	24	precision	precision	NOUN
bracis-33607	293	25	of	of	ADP
bracis-33607	293	26	high	high	ADJ
bracis-33607	293	27	-	-	PUNCT
bracis-33607	293	28	throughput	throughput	NOUN
bracis-33607	293	29	computational	computational	ADJ
bracis-33607	293	30	and	and	CCONJ
bracis-33607	293	31	laboratory	laboratory	NOUN
bracis-33607	293	32	approaches	approach	NOUN
bracis-33607	293	33	for	for	ADP
bracis-33607	293	34	the	the	DET
bracis-33607	293	35	genome	genome	NOUN
bracis-33607	293	36	-	-	PUNCT
bracis-33607	293	37	wide	wide	ADJ
bracis-33607	293	38	identification	identification	NOUN
bracis-33607	293	39	of	of	ADP
bracis-33607	293	40	protein	protein	NOUN
bracis-33607	293	41	subcellular	subcellular	ADJ
bracis-33607	293	42	localization	localization	NOUN
bracis-33607	293	43	in	in	ADP
bracis-33607	293	44	bacteria	bacteria	NOUN
bracis-33607	293	45	.	.	PUNCT
bracis-33607	294	1	bmc	bmc	PROPN
bracis-33607	294	2	genom	genom	PROPN
bracis-33607	294	3	.	.	PUNCT
bracis-33607	295	1	6	6	NUM
bracis-33607	295	2	,	,	PUNCT
bracis-33607	295	3	162	162	NUM
bracis-33607	295	4	(	(	PUNCT
bracis-33607	295	5	2005	2005	NUM
bracis-33607	295	6	)	)	PUNCT
bracis-33607	295	7	article	article	NOUN
bracis-33607	295	8	  	  	SPACE
bracis-33607	295	9	math	math	NOUN
bracis-33607	295	10	  	  	SPACE
bracis-33607	295	11	google	google	PROPN
bracis-33607	295	12	scholar	scholar	NOUN
bracis-33607	295	13	  	  	SPACE
bracis-33607	295	14	sadarangani	sadarangani	NOUN
bracis-33607	295	15	,	,	PUNCT
bracis-33607	295	16	a.	a.	NOUN
bracis-33607	295	17	,	,	PUNCT
bracis-33607	295	18	jivani	jivani	PROPN
bracis-33607	295	19	,	,	PUNCT
bracis-33607	295	20	a.	a.	NOUN
bracis-33607	295	21	:	:	PUNCT
bracis-33607	295	22	a	a	DET
bracis-33607	295	23	survey	survey	NOUN
bracis-33607	295	24	of	of	ADP
bracis-33607	295	25	semi	semi	ADJ
bracis-33607	295	26	-	-	ADJ
bracis-33607	295	27	supervised	supervised	ADJ
bracis-33607	295	28	learning	learning	NOUN
bracis-33607	295	29	.	.	PUNCT
bracis-33607	296	1	int	int	NOUN
bracis-33607	296	2	.	.	PUNCT
bracis-33607	297	1	j.	j.	PROPN
bracis-33607	297	2	eng	eng	PROPN
bracis-33607	297	3	.	.	PUNCT
bracis-33607	298	1	sci	sci	PROPN
bracis-33607	298	2	.	.	PUNCT
bracis-33607	299	1	res	res	PROPN
bracis-33607	299	2	.	.	PUNCT
bracis-33607	300	1	technol	technol	PROPN
bracis-33607	300	2	.	.	PUNCT
bracis-33607	301	1	5(10	5(10	NUM
bracis-33607	301	2	)	)	PUNCT
bracis-33607	301	3	,	,	PUNCT
bracis-33607	301	4	138–143	138–143	NUM
bracis-33607	301	5	(	(	PUNCT
bracis-33607	301	6	2016	2016	NUM
bracis-33607	301	7	)	)	PUNCT
bracis-33607	301	8	math	math	NOUN
bracis-33607	301	9	  	  	SPACE
bracis-33607	301	10	google	google	PROPN
bracis-33607	301	11	scholar	scholar	NOUN
bracis-33607	301	12	  	  	SPACE
bracis-33607	301	13	shen	shen	NOUN
bracis-33607	301	14	,	,	PUNCT
bracis-33607	301	15	h.	h.	PROPN
bracis-33607	301	16	,	,	PUNCT
bracis-33607	301	17	chou	chou	PROPN
bracis-33607	301	18	,	,	PUNCT
bracis-33607	301	19	k.	k.	PROPN
bracis-33607	301	20	:	:	PUNCT
bracis-33607	301	21	virus	virus	NOUN
bracis-33607	301	22	-	-	PUNCT
bracis-33607	301	23	mploc	mploc	NOUN
bracis-33607	301	24	:	:	PUNCT
bracis-33607	301	25	a	a	DET
bracis-33607	301	26	fusion	fusion	NOUN
bracis-33607	301	27	classifier	classifier	NOUN
bracis-33607	301	28	for	for	ADP
bracis-33607	301	29	viral	viral	ADJ
bracis-33607	301	30	protein	protein	NOUN
bracis-33607	301	31	subcellular	subcellular	ADJ
bracis-33607	301	32	location	location	NOUN
bracis-33607	301	33	prediction	prediction	NOUN
bracis-33607	301	34	by	by	ADP
bracis-33607	301	35	incorporating	incorporate	VERB
bracis-33607	301	36	multiple	multiple	ADJ
bracis-33607	301	37	sites	site	NOUN
bracis-33607	301	38	.	.	PUNCT
bracis-33607	302	1	j.	j.	PROPN
bracis-33607	302	2	biomol	biomol	PROPN
bracis-33607	302	3	.	.	PUNCT
bracis-33607	302	4	struct	struct	NOUN
bracis-33607	302	5	.	.	PUNCT
bracis-33607	303	1	dyn	dyn	NOUN
bracis-33607	303	2	.	.	PUNCT
bracis-33607	304	1	28(2	28(2	NUM
bracis-33607	304	2	)	)	PUNCT
bracis-33607	304	3	,	,	PUNCT
bracis-33607	304	4	175–186	175–186	NUM
bracis-33607	304	5	(	(	PUNCT
bracis-33607	304	6	2010	2010	NUM
bracis-33607	304	7	)	)	PUNCT
bracis-33607	304	8	article	article	NOUN
bracis-33607	304	9	  	  	SPACE
bracis-33607	304	10	math	math	NOUN
bracis-33607	304	11	  	  	SPACE
bracis-33607	304	12	google	google	PROPN
bracis-33607	304	13	scholar	scholar	NOUN
bracis-33607	304	14	  	  	SPACE
bracis-33607	304	15	struyf	struyf	NOUN
bracis-33607	304	16	,	,	PUNCT
bracis-33607	304	17	j.	j.	PROPN
bracis-33607	304	18	,	,	PUNCT
bracis-33607	304	19	džeroski	džeroski	PROPN
bracis-33607	304	20	,	,	PUNCT
bracis-33607	304	21	s.	s.	PROPN
bracis-33607	304	22	:	:	PUNCT
bracis-33607	304	23	constraint	constraint	NOUN
bracis-33607	304	24	based	base	VERB
bracis-33607	304	25	induction	induction	NOUN
bracis-33607	304	26	of	of	ADP
bracis-33607	304	27	multi	multi	ADJ
bracis-33607	304	28	-	-	ADJ
bracis-33607	304	29	objective	objective	ADJ
bracis-33607	304	30	regression	regression	NOUN
bracis-33607	304	31	trees	tree	NOUN
bracis-33607	304	32	.	.	PUNCT
bracis-33607	305	1	in	in	ADP
bracis-33607	305	2	:	:	PUNCT
bracis-33607	305	3	bonchi	bonchi	PROPN
bracis-33607	305	4	,	,	PUNCT
bracis-33607	305	5	f.	f.	PROPN
bracis-33607	305	6	,	,	PUNCT
bracis-33607	305	7	boulicaut	boulicaut	NOUN
bracis-33607	305	8	,	,	PUNCT
bracis-33607	305	9	j.-f	j.-f	PROPN
bracis-33607	305	10	.	.	PUNCT
bracis-33607	306	1	(	(	PUNCT
bracis-33607	306	2	eds	ed	NOUN
bracis-33607	306	3	.	.	PUNCT
bracis-33607	306	4	)	)	PUNCT
bracis-33607	307	1	kdid	kdid	VERB
bracis-33607	307	2	2005	2005	NUM
bracis-33607	307	3	.	.	PUNCT
bracis-33607	308	1	lncs	lncs	PROPN
bracis-33607	308	2	,	,	PUNCT
bracis-33607	308	3	vol	vol	NOUN
bracis-33607	308	4	.	.	PROPN
bracis-33607	308	5	3933	3933	NUM
bracis-33607	308	6	,	,	PUNCT
bracis-33607	308	7	pp	pp	ADJ
bracis-33607	308	8	.	.	PUNCT
bracis-33607	309	1	222–233	222–233	NUM
bracis-33607	309	2	.	.	PUNCT
bracis-33607	309	3	springer	springer	NOUN
bracis-33607	309	4	,	,	PUNCT
bracis-33607	309	5	heidelberg	heidelberg	PROPN
bracis-33607	309	6	(	(	PUNCT
bracis-33607	309	7	2006	2006	NUM
bracis-33607	309	8	)	)	PUNCT
bracis-33607	309	9	.	.	PUNCT
bracis-33607	310	1	https://doi.org/10.1007/11733492_13	https://doi.org/10.1007/11733492_13	NUM
bracis-33607	310	2	chapter	chapter	NOUN
bracis-33607	310	3	  	  	SPACE
bracis-33607	310	4	math	math	NOUN
bracis-33607	310	5	  	  	SPACE
bracis-33607	310	6	google	google	PROPN
bracis-33607	310	7	scholar	scholar	NOUN
bracis-33607	310	8	  	  	SPACE
bracis-33607	310	9	struyf	struyf	NOUN
bracis-33607	310	10	,	,	PUNCT
bracis-33607	310	11	j.	j.	PROPN
bracis-33607	310	12	,	,	PUNCT
bracis-33607	310	13	džeroski	džeroski	PROPN
bracis-33607	310	14	,	,	PUNCT
bracis-33607	310	15	s.	s.	PROPN
bracis-33607	310	16	:	:	PUNCT
bracis-33607	310	17	clustering	cluster	VERB
bracis-33607	310	18	trees	tree	NOUN
bracis-33607	310	19	with	with	ADP
bracis-33607	310	20	instance	instance	NOUN
bracis-33607	310	21	level	level	NOUN
bracis-33607	310	22	constraints	constraint	NOUN
bracis-33607	310	23	.	.	PUNCT
bracis-33607	311	1	in	in	ADP
bracis-33607	311	2	:	:	PUNCT
bracis-33607	311	3	kok	kok	PROPN
bracis-33607	311	4	,	,	PUNCT
bracis-33607	311	5	j.n	j.n	PROPN
bracis-33607	311	6	.	.	PROPN
bracis-33607	311	7	,	,	PUNCT
bracis-33607	311	8	koronacki	koronacki	PROPN
bracis-33607	311	9	,	,	PUNCT
bracis-33607	311	10	j.	j.	PROPN
bracis-33607	311	11	,	,	PUNCT
bracis-33607	311	12	mantaras	mantaras	PROPN
bracis-33607	311	13	,	,	PUNCT
bracis-33607	311	14	r.l	r.l	PROPN
bracis-33607	311	15	.	.	PROPN
bracis-33607	311	16	,	,	PUNCT
bracis-33607	311	17	matwin	matwin	PROPN
bracis-33607	311	18	,	,	PUNCT
bracis-33607	311	19	s.	s.	PROPN
bracis-33607	311	20	,	,	PUNCT
bracis-33607	311	21	mladenič	mladenič	PROPN
bracis-33607	311	22	,	,	PUNCT
bracis-33607	311	23	d.	d.	PROPN
bracis-33607	311	24	,	,	PUNCT
bracis-33607	311	25	skowron	skowron	PROPN
bracis-33607	311	26	,	,	PUNCT
bracis-33607	311	27	a.	a.	NOUN
bracis-33607	311	28	(	(	PUNCT
bracis-33607	311	29	eds	eds	PROPN
bracis-33607	311	30	.	.	PUNCT
bracis-33607	311	31	)	)	PUNCT
bracis-33607	311	32	ecml	ecml	PROPN
bracis-33607	311	33	2007	2007	NUM
bracis-33607	311	34	.	.	PUNCT
bracis-33607	312	1	lncs	lncs	PROPN
bracis-33607	312	2	(	(	PUNCT
bracis-33607	312	3	lnai	lnai	ADJ
bracis-33607	312	4	)	)	PUNCT
bracis-33607	312	5	,	,	PUNCT
bracis-33607	312	6	vol	vol	NOUN
bracis-33607	312	7	.	.	PROPN
bracis-33607	312	8	4701	4701	NUM
bracis-33607	312	9	,	,	PUNCT
bracis-33607	312	10	pp	pp	ADJ
bracis-33607	312	11	.	.	PUNCT
bracis-33607	313	1	359–370	359–370	NUM
bracis-33607	313	2	.	.	PUNCT
bracis-33607	313	3	springer	springer	NOUN
bracis-33607	313	4	,	,	PUNCT
bracis-33607	313	5	heidelberg	heidelberg	PROPN
bracis-33607	313	6	(	(	PUNCT
bracis-33607	313	7	2007	2007	NUM
bracis-33607	313	8	)	)	PUNCT
bracis-33607	313	9	.	.	PUNCT
bracis-33607	314	1	https://doi.org/10.1007/978-3-540-74958-5_34	https://doi.org/10.1007/978-3-540-74958-5_34	PROPN
bracis-33607	314	2	chapter	chapter	NOUN
bracis-33607	314	3	  	  	SPACE
bracis-33607	314	4	math	math	NOUN
bracis-33607	314	5	  	  	SPACE
bracis-33607	314	6	google	google	PROPN
bracis-33607	314	7	scholar	scholar	NOUN
bracis-33607	314	8	  	  	SPACE
bracis-33607	314	9	su	su	PROPN
bracis-33607	314	10	,	,	PUNCT
bracis-33607	314	11	e.	e.	PROPN
bracis-33607	314	12	,	,	PUNCT
bracis-33607	314	13	chiu	chiu	PROPN
bracis-33607	314	14	,	,	PUNCT
bracis-33607	314	15	h.	h.	PROPN
bracis-33607	314	16	,	,	PUNCT
bracis-33607	314	17	lo	lo	PROPN
bracis-33607	314	18	,	,	PUNCT
bracis-33607	314	19	a.	a.	PROPN
bracis-33607	314	20	,	,	PUNCT
bracis-33607	314	21	hwang	hwang	PROPN
bracis-33607	314	22	,	,	PUNCT
bracis-33607	314	23	j.	j.	PROPN
bracis-33607	314	24	,	,	PUNCT
bracis-33607	314	25	sung	sung	PROPN
bracis-33607	314	26	,	,	PUNCT
bracis-33607	314	27	t.	t.	PROPN
bracis-33607	314	28	,	,	PUNCT
bracis-33607	314	29	hsu	hsu	PROPN
bracis-33607	314	30	,	,	PUNCT
bracis-33607	314	31	w.	w.	NOUN
bracis-33607	314	32	:	:	PUNCT
bracis-33607	314	33	protein	protein	NOUN
bracis-33607	314	34	subcellular	subcellular	ADJ
bracis-33607	314	35	localization	localization	NOUN
bracis-33607	314	36	prediction	prediction	NOUN
bracis-33607	314	37	based	base	VERB
bracis-33607	314	38	on	on	ADP
bracis-33607	314	39	compartment	compartment	NOUN
bracis-33607	314	40	-	-	PUNCT
bracis-33607	314	41	specific	specific	ADJ
bracis-33607	314	42	features	feature	NOUN
bracis-33607	314	43	and	and	CCONJ
bracis-33607	314	44	structure	structure	NOUN
bracis-33607	314	45	conservation	conservation	NOUN
bracis-33607	314	46	.	.	PUNCT
bracis-33607	315	1	bmc	bmc	ADJ
bracis-33607	315	2	bioinform	bioinform	NOUN
bracis-33607	315	3	.	.	PUNCT
bracis-33607	316	1	8	8	NUM
bracis-33607	316	2	,	,	PUNCT
bracis-33607	316	3	330	330	NUM
bracis-33607	316	4	(	(	PUNCT
bracis-33607	316	5	2007	2007	NUM
bracis-33607	316	6	)	)	PUNCT
bracis-33607	316	7	article	article	NOUN
bracis-33607	316	8	  	  	SPACE
bracis-33607	316	9	math	math	NOUN
bracis-33607	316	10	  	  	SPACE
bracis-33607	316	11	google	google	PROPN
bracis-33607	316	12	scholar	scholar	NOUN
bracis-33607	316	13	  	  	SPACE
bracis-33607	316	14	su	su	PROPN
bracis-33607	316	15	,	,	PUNCT
bracis-33607	316	16	r.	r.	PROPN
bracis-33607	316	17	,	,	PUNCT
bracis-33607	316	18	he	he	PRON
bracis-33607	316	19	,	,	PUNCT
bracis-33607	316	20	l.	l.	PROPN
bracis-33607	316	21	,	,	PUNCT
bracis-33607	316	22	liu	liu	PROPN
bracis-33607	316	23	,	,	PUNCT
bracis-33607	316	24	t.	t.	PROPN
bracis-33607	316	25	,	,	PUNCT
bracis-33607	316	26	liu	liu	PROPN
bracis-33607	316	27	,	,	PUNCT
bracis-33607	316	28	x.	x.	PROPN
bracis-33607	316	29	,	,	PUNCT
bracis-33607	316	30	wei	wei	PROPN
bracis-33607	316	31	,	,	PUNCT
bracis-33607	316	32	l.	l.	PROPN
bracis-33607	316	33	:	:	PUNCT
bracis-33607	316	34	protein	protein	NOUN
bracis-33607	316	35	subcellular	subcellular	ADJ
bracis-33607	316	36	localization	localization	NOUN
bracis-33607	316	37	based	base	VERB
bracis-33607	316	38	on	on	ADP
bracis-33607	316	39	deep	deep	ADJ
bracis-33607	316	40	image	image	NOUN
bracis-33607	316	41	features	feature	NOUN
bracis-33607	316	42	and	and	CCONJ
bracis-33607	316	43	criterion	criterion	NOUN
bracis-33607	316	44	learning	learning	NOUN
bracis-33607	316	45	strategy	strategy	NOUN
bracis-33607	316	46	.	.	PUNCT
bracis-33607	317	1	brief	brief	ADJ
bracis-33607	317	2	.	.	PUNCT
bracis-33607	318	1	bioinform	bioinform	NOUN
bracis-33607	318	2	.	.	PUNCT
bracis-33607	319	1	22(4	22(4	NUM
bracis-33607	319	2	)	)	PUNCT
bracis-33607	319	3	,	,	PUNCT
bracis-33607	319	4	bbaa313	bbaa313	PROPN
bracis-33607	319	5	(	(	PUNCT
bracis-33607	319	6	2020	2020	NUM
bracis-33607	319	7	)	)	PUNCT
bracis-33607	319	8	google	google	PROPN
bracis-33607	319	9	scholar	scholar	NOUN
bracis-33607	319	10	  	  	SPACE
bracis-33607	319	11	the	the	DET
bracis-33607	319	12	uniprot	uniprot	ADJ
bracis-33607	319	13	consortium	consortium	NOUN
bracis-33607	319	14	:	:	PUNCT
bracis-33607	319	15	uniprot	uniprot	ADJ
bracis-33607	319	16	:	:	PUNCT
bracis-33607	319	17	the	the	DET
bracis-33607	319	18	universal	universal	ADJ
bracis-33607	319	19	protein	protein	NOUN
bracis-33607	319	20	knowledgebase	knowledgebase	PROPN
bracis-33607	319	21	.	.	PUNCT
bracis-33607	320	1	nucl	nucl	PROPN
bracis-33607	320	2	.	.	PUNCT
bracis-33607	321	1	acids	acid	NOUN
bracis-33607	321	2	res	re	NOUN
bracis-33607	321	3	.	.	PUNCT
bracis-33607	322	1	45(issue	45(issue	NUM
bracis-33607	322	2	d1	d1	NOUN
bracis-33607	322	3	)	)	PUNCT
bracis-33607	322	4	,	,	PUNCT
bracis-33607	322	5	d158	d158	PROPN
bracis-33607	322	6	–	–	PUNCT
bracis-33607	322	7	d169	d169	PROPN
bracis-33607	322	8	(	(	PUNCT
bracis-33607	322	9	2017	2017	NUM
bracis-33607	322	10	)	)	PUNCT
bracis-33607	322	11	google	google	NOUN
bracis-33607	322	12	scholar	scholar	NOUN
bracis-33607	322	13	  	  	SPACE
bracis-33607	322	14	thumuluri	thumuluri	NOUN
bracis-33607	322	15	,	,	PUNCT
bracis-33607	322	16	v.	v.	ADV
bracis-33607	322	17	,	,	PUNCT
bracis-33607	322	18	almagro	almagro	PROPN
bracis-33607	322	19	armenteros	armenteros	PROPN
bracis-33607	322	20	,	,	PUNCT
bracis-33607	322	21	j.j	j.j	PROPN
bracis-33607	322	22	.	.	PROPN
bracis-33607	322	23	,	,	PUNCT
bracis-33607	322	24	johansen	johansen	PROPN
bracis-33607	322	25	,	,	PUNCT
bracis-33607	322	26	a.	a.	PROPN
bracis-33607	322	27	,	,	PUNCT
bracis-33607	322	28	nielsen	nielsen	PROPN
bracis-33607	322	29	,	,	PUNCT
bracis-33607	322	30	h.	h.	PROPN
bracis-33607	322	31	,	,	PUNCT
bracis-33607	322	32	winther	winther	PROPN
bracis-33607	322	33	,	,	PUNCT
bracis-33607	322	34	o.	o.	PROPN
bracis-33607	322	35	:	:	PUNCT
bracis-33607	322	36	deeploc	deeploc	NOUN
bracis-33607	322	37	2.0	2.0	NUM
bracis-33607	322	38	:	:	PUNCT
bracis-33607	322	39	multi	multi	ADJ
bracis-33607	322	40	-	-	ADJ
bracis-33607	322	41	label	label	ADJ
bracis-33607	322	42	subcellular	subcellular	ADJ
bracis-33607	322	43	localization	localization	NOUN
bracis-33607	322	44	prediction	prediction	NOUN
bracis-33607	322	45	using	use	VERB
bracis-33607	322	46	protein	protein	NOUN
bracis-33607	322	47	language	language	NOUN
bracis-33607	322	48	models	model	NOUN
bracis-33607	322	49	.	.	PUNCT
bracis-33607	323	1	nucl	nucl	PROPN
bracis-33607	323	2	.	.	PUNCT
bracis-33607	324	1	acids	acid	NOUN
bracis-33607	324	2	res	re	NOUN
bracis-33607	324	3	.	.	PUNCT
bracis-33607	324	4	50(w1	50(w1	NUM
bracis-33607	324	5	)	)	PUNCT
bracis-33607	324	6	,	,	PUNCT
bracis-33607	324	7	w228	w228	PROPN
bracis-33607	324	8	–	–	PUNCT
bracis-33607	324	9	w234	w234	PROPN
bracis-33607	324	10	(	(	PUNCT
bracis-33607	324	11	2022	2022	NUM
bracis-33607	324	12	)	)	PUNCT
bracis-33607	324	13	google	google	NOUN
bracis-33607	324	14	scholar	scholar	NOUN
bracis-33607	324	15	  	  	SPACE
bracis-33607	324	16	triguero	triguero	NOUN
bracis-33607	324	17	,	,	PUNCT
bracis-33607	324	18	i.	i.	PROPN
bracis-33607	324	19	,	,	PUNCT
bracis-33607	324	20	garcia	garcia	PROPN
bracis-33607	324	21	,	,	PUNCT
bracis-33607	324	22	s.	s.	PROPN
bracis-33607	324	23	,	,	PUNCT
bracis-33607	324	24	herrera	herrera	PROPN
bracis-33607	324	25	,	,	PUNCT
bracis-33607	324	26	f.	f.	NOUN
bracis-33607	324	27	:	:	PUNCT
bracis-33607	324	28	self	self	NOUN
bracis-33607	324	29	-	-	PUNCT
bracis-33607	324	30	labeled	label	VERB
bracis-33607	324	31	techniques	technique	NOUN
bracis-33607	324	32	for	for	ADP
bracis-33607	324	33	semi	semi	ADJ
bracis-33607	324	34	-	-	ADJ
bracis-33607	324	35	supervised	supervised	ADJ
bracis-33607	324	36	learning	learning	NOUN
bracis-33607	324	37	:	:	PUNCT
bracis-33607	324	38	taxonomy	taxonomy	NOUN
bracis-33607	324	39	,	,	PUNCT
bracis-33607	324	40	software	software	NOUN
bracis-33607	324	41	and	and	CCONJ
bracis-33607	324	42	empirical	empirical	ADJ
bracis-33607	324	43	study	study	NOUN
bracis-33607	324	44	.	.	PUNCT
bracis-33607	325	1	knowl	knowl	PROPN
bracis-33607	325	2	.	.	PUNCT
bracis-33607	326	1	inf	inf	PROPN
bracis-33607	326	2	.	.	PUNCT
bracis-33607	326	3	syst	syst	PROPN
bracis-33607	326	4	.	.	PUNCT
bracis-33607	327	1	42(2	42(2	NUM
bracis-33607	327	2	)	)	PUNCT
bracis-33607	327	3	,	,	PUNCT
bracis-33607	327	4	245–284	245–284	NUM
bracis-33607	327	5	(	(	PUNCT
bracis-33607	327	6	2015	2015	NUM
bracis-33607	327	7	)	)	PUNCT
bracis-33607	327	8	article	article	NOUN
bracis-33607	327	9	  	  	SPACE
bracis-33607	327	10	math	math	NOUN
bracis-33607	327	11	  	  	SPACE
bracis-33607	327	12	google	google	PROPN
bracis-33607	327	13	scholar	scholar	NOUN
bracis-33607	327	14	  	  	SPACE
bracis-33607	327	15	tsoumakas	tsoumakas	NOUN
bracis-33607	327	16	,	,	PUNCT
bracis-33607	327	17	g.	g.	PROPN
bracis-33607	327	18	,	,	PUNCT
bracis-33607	327	19	katakis	katakis	PROPN
bracis-33607	327	20	,	,	PUNCT
bracis-33607	327	21	i.	i.	PROPN
bracis-33607	327	22	,	,	PUNCT
bracis-33607	327	23	vlahavas	vlahavas	PROPN
bracis-33607	327	24	,	,	PUNCT
bracis-33607	327	25	i.	i.	NOUN
bracis-33607	327	26	:	:	PUNCT
bracis-33607	327	27	mining	mine	VERB
bracis-33607	327	28	multi	multi	ADJ
bracis-33607	327	29	-	-	ADJ
bracis-33607	327	30	label	label	ADJ
bracis-33607	327	31	data	datum	NOUN
bracis-33607	327	32	.	.	PUNCT
bracis-33607	328	1	in	in	ADP
bracis-33607	328	2	:	:	PUNCT
bracis-33607	328	3	maimon	maimon	NOUN
bracis-33607	328	4	,	,	PUNCT
bracis-33607	328	5	o.	o.	PROPN
bracis-33607	328	6	,	,	PUNCT
bracis-33607	328	7	rokach	rokach	NOUN
bracis-33607	328	8	,	,	PUNCT
bracis-33607	328	9	l.	l.	PROPN
bracis-33607	328	10	(	(	PUNCT
bracis-33607	328	11	eds	eds	PROPN
bracis-33607	328	12	.	.	PUNCT
bracis-33607	328	13	)	)	PUNCT
bracis-33607	328	14	data	datum	NOUN
bracis-33607	328	15	mining	mining	NOUN
bracis-33607	328	16	and	and	CCONJ
bracis-33607	328	17	knowledge	knowledge	NOUN
bracis-33607	328	18	discovery	discovery	PROPN
bracis-33607	328	19	handbook	handbook	NOUN
bracis-33607	328	20	,	,	PUNCT
bracis-33607	328	21	pp	pp	X
bracis-33607	328	22	.	.	PUNCT
bracis-33607	329	1	667–685	667–685	NUM
bracis-33607	329	2	.	.	PUNCT
bracis-33607	329	3	springer	springer	NOUN
bracis-33607	329	4	,	,	PUNCT
bracis-33607	329	5	boston	boston	PROPN
bracis-33607	329	6	(	(	PUNCT
bracis-33607	329	7	2009	2009	NUM
bracis-33607	329	8	)	)	PUNCT
bracis-33607	329	9	.	.	PUNCT
bracis-33607	330	1	https://doi.org/10.1007/978-0-387-09823-4_34	https://doi.org/10.1007/978-0-387-09823-4_34	PROPN
bracis-33607	330	2	chapter	chapter	NOUN
bracis-33607	330	3	  	  	SPACE
bracis-33607	330	4	google	google	PROPN
bracis-33607	330	5	scholar	scholar	NOUN
bracis-33607	330	6	  	  	SPACE
bracis-33607	330	7	vens	vens	PROPN
bracis-33607	330	8	,	,	PUNCT
bracis-33607	330	9	c.	c.	PROPN
bracis-33607	330	10	,	,	PUNCT
bracis-33607	330	11	struyf	struyf	PROPN
bracis-33607	330	12	,	,	PUNCT
bracis-33607	330	13	j.	j.	PROPN
bracis-33607	330	14	,	,	PUNCT
bracis-33607	330	15	schietgat	schietgat	PROPN
bracis-33607	330	16	,	,	PUNCT
bracis-33607	330	17	l.	l.	PROPN
bracis-33607	330	18	,	,	PUNCT
bracis-33607	330	19	džeroski	džeroski	PROPN
bracis-33607	330	20	,	,	PUNCT
bracis-33607	330	21	s.	s.	PROPN
bracis-33607	330	22	,	,	PUNCT
bracis-33607	330	23	blockeel	blockeel	PROPN
bracis-33607	330	24	,	,	PUNCT
bracis-33607	330	25	h.	h.	NOUN
bracis-33607	330	26	:	:	PUNCT
bracis-33607	330	27	decision	decision	NOUN
bracis-33607	330	28	trees	tree	NOUN
bracis-33607	330	29	for	for	ADP
bracis-33607	330	30	hierarchical	hierarchical	ADJ
bracis-33607	330	31	multi	multi	ADJ
bracis-33607	330	32	-	-	ADJ
bracis-33607	330	33	label	label	ADJ
bracis-33607	330	34	classification	classification	NOUN
bracis-33607	330	35	.	.	PUNCT
bracis-33607	331	1	mach	mach	NOUN
bracis-33607	331	2	.	.	PUNCT
bracis-33607	332	1	learn	learn	VERB
bracis-33607	332	2	.	.	PUNCT
bracis-33607	333	1	73	73	NUM
bracis-33607	333	2	,	,	PUNCT
bracis-33607	333	3	185–214	185–214	NUM
bracis-33607	333	4	(	(	PUNCT
bracis-33607	333	5	2008	2008	NUM
bracis-33607	333	6	)	)	PUNCT
bracis-33607	333	7	article	article	NOUN
bracis-33607	333	8	  	  	SPACE
bracis-33607	333	9	math	math	NOUN
bracis-33607	333	10	  	  	SPACE
bracis-33607	333	11	google	google	PROPN
bracis-33607	333	12	scholar	scholar	NOUN
bracis-33607	333	13	  	  	SPACE
bracis-33607	333	14	wan	wan	PROPN
bracis-33607	333	15	,	,	PUNCT
bracis-33607	333	16	s.	s.	PROPN
bracis-33607	333	17	,	,	PUNCT
bracis-33607	333	18	mak	mak	PROPN
bracis-33607	333	19	,	,	PUNCT
bracis-33607	333	20	m.w	m.w	PROPN
bracis-33607	333	21	.	.	PROPN
bracis-33607	333	22	,	,	PUNCT
bracis-33607	333	23	kung	kung	PROPN
bracis-33607	333	24	,	,	PUNCT
bracis-33607	333	25	s.y	s.y	PROPN
bracis-33607	333	26	.	.	PROPN
bracis-33607	333	27	:	:	PUNCT
bracis-33607	333	28	mgoasvm	mgoasvm	NOUN
bracis-33607	333	29	:	:	PUNCT
bracis-33607	333	30	multi	multi	ADJ
bracis-33607	333	31	-	-	ADJ
bracis-33607	333	32	label	label	ADJ
bracis-33607	333	33	protein	protein	NOUN
bracis-33607	333	34	subcellular	subcellular	ADJ
bracis-33607	333	35	localization	localization	NOUN
bracis-33607	333	36	based	base	VERB
bracis-33607	333	37	on	on	ADP
bracis-33607	333	38	gene	gene	NOUN
bracis-33607	333	39	ontology	ontology	NOUN
bracis-33607	333	40	and	and	CCONJ
bracis-33607	333	41	support	support	VERB
bracis-33607	333	42	vector	vector	NOUN
bracis-33607	333	43	machines	machine	NOUN
bracis-33607	333	44	.	.	PUNCT
bracis-33607	334	1	bmc	bmc	PROPN
bracis-33607	334	2	bioinform	bioinform	NOUN
bracis-33607	334	3	.	.	PUNCT
bracis-33607	335	1	13	13	NUM
bracis-33607	335	2	,	,	PUNCT
bracis-33607	335	3	290	290	NUM
bracis-33607	335	4	(	(	PUNCT
bracis-33607	335	5	2012	2012	NUM
bracis-33607	335	6	)	)	PUNCT
bracis-33607	335	7	article	article	NOUN
bracis-33607	335	8	  	  	SPACE
bracis-33607	335	9	math	math	NOUN
bracis-33607	335	10	  	  	SPACE
bracis-33607	335	11	google	google	PROPN
bracis-33607	335	12	scholar	scholar	NOUN
bracis-33607	335	13	  	  	SPACE
bracis-33607	335	14	wang	wang	PROPN
bracis-33607	335	15	,	,	PUNCT
bracis-33607	335	16	y.	y.	PROPN
bracis-33607	335	17	,	,	PUNCT
bracis-33607	335	18	xu	xu	PROPN
bracis-33607	335	19	,	,	PUNCT
bracis-33607	335	20	x.	x.	PROPN
bracis-33607	335	21	,	,	PUNCT
bracis-33607	335	22	zhao	zhao	PROPN
bracis-33607	335	23	,	,	PUNCT
bracis-33607	335	24	h.	h.	PROPN
bracis-33607	335	25	,	,	PUNCT
bracis-33607	335	26	hua	hua	PROPN
bracis-33607	335	27	,	,	PUNCT
bracis-33607	335	28	z.	z.	PROPN
bracis-33607	335	29	:	:	PUNCT
bracis-33607	335	30	semi	semi	ADJ
bracis-33607	335	31	-	-	ADJ
bracis-33607	335	32	supervised	supervised	ADJ
bracis-33607	335	33	learning	learning	NOUN
bracis-33607	335	34	based	base	VERB
bracis-33607	335	35	on	on	ADP
bracis-33607	335	36	nearest	near	ADJ
bracis-33607	335	37	neighbor	neighbor	NOUN
bracis-33607	335	38	rule	rule	NOUN
bracis-33607	335	39	and	and	CCONJ
bracis-33607	335	40	cut	cut	VERB
bracis-33607	335	41	edges	edge	NOUN
bracis-33607	335	42	.	.	PUNCT
bracis-33607	336	1	knowl.-based	knowl.-based	PROPN
bracis-33607	336	2	syst	syst	PROPN
bracis-33607	336	3	.	.	PUNCT
bracis-33607	336	4	23(6	23(6	NUM
bracis-33607	336	5	)	)	PUNCT
bracis-33607	336	6	,	,	PUNCT
bracis-33607	336	7	547–554	547–554	NUM
bracis-33607	336	8	(	(	PUNCT
bracis-33607	336	9	2010	2010	NUM
bracis-33607	336	10	)	)	PUNCT
bracis-33607	336	11	article	article	NOUN
bracis-33607	336	12	  	  	SPACE
bracis-33607	336	13	math	math	NOUN
bracis-33607	336	14	  	  	SPACE
bracis-33607	336	15	google	google	PROPN
bracis-33607	336	16	scholar	scholar	NOUN
bracis-33607	336	17	  	  	SPACE
bracis-33607	336	18	xu	xu	PROPN
bracis-33607	336	19	,	,	PUNCT
bracis-33607	336	20	q.	q.	PROPN
bracis-33607	336	21	,	,	PUNCT
bracis-33607	336	22	hu	hu	PROPN
bracis-33607	336	23	,	,	PUNCT
bracis-33607	336	24	d.	d.	PROPN
bracis-33607	336	25	,	,	PUNCT
bracis-33607	336	26	xue	xue	PROPN
bracis-33607	336	27	,	,	PUNCT
bracis-33607	336	28	h.	h.	PROPN
bracis-33607	336	29	,	,	PUNCT
bracis-33607	336	30	yu	yu	PROPN
bracis-33607	336	31	,	,	PUNCT
bracis-33607	336	32	w.	w.	PROPN
bracis-33607	336	33	,	,	PUNCT
bracis-33607	336	34	yang	yang	PROPN
bracis-33607	336	35	,	,	PUNCT
bracis-33607	336	36	q.	q.	PROPN
bracis-33607	336	37	:	:	PUNCT
bracis-33607	336	38	semi	semi	ADJ
bracis-33607	336	39	-	-	ADJ
bracis-33607	336	40	supervised	supervised	ADJ
bracis-33607	336	41	protein	protein	NOUN
bracis-33607	336	42	subcellular	subcellular	ADJ
bracis-33607	336	43	localization	localization	NOUN
bracis-33607	336	44	.	.	PUNCT
bracis-33607	337	1	bmc	bmc	ADJ
bracis-33607	337	2	bioinform	bioinform	NOUN
bracis-33607	337	3	.	.	PUNCT
bracis-33607	338	1	10(suppl	10(suppl	NUM
bracis-33607	338	2	1	1	NUM
bracis-33607	338	3	)	)	PUNCT
bracis-33607	338	4	,	,	PUNCT
bracis-33607	338	5	s47	s47	NOUN
bracis-33607	338	6	(	(	PUNCT
bracis-33607	338	7	2009	2009	NUM
bracis-33607	338	8	)	)	PUNCT
bracis-33607	338	9	article	article	NOUN
bracis-33607	338	10	  	  	SPACE
bracis-33607	338	11	math	math	NOUN
bracis-33607	338	12	  	  	SPACE
bracis-33607	338	13	google	google	PROPN
bracis-33607	338	14	scholar	scholar	NOUN
bracis-33607	338	15	  	  	SPACE
bracis-33607	338	16	zhang	zhang	PROPN
bracis-33607	338	17	,	,	PUNCT
bracis-33607	338	18	q.	q.	PROPN
bracis-33607	338	19	,	,	PUNCT
bracis-33607	338	20	et	et	PROPN
bracis-33607	338	21	al	al	PROPN
bracis-33607	338	22	.	.	PROPN
bracis-33607	338	23	:	:	PUNCT
bracis-33607	338	24	accurate	accurate	ADJ
bracis-33607	338	25	prediction	prediction	NOUN
bracis-33607	338	26	of	of	ADP
bracis-33607	338	27	multi	multi	ADJ
bracis-33607	338	28	-	-	ADJ
bracis-33607	338	29	label	label	ADJ
bracis-33607	338	30	protein	protein	NOUN
bracis-33607	338	31	subcellular	subcellular	ADJ
bracis-33607	338	32	localization	localization	NOUN
bracis-33607	338	33	through	through	ADP
bracis-33607	338	34	multi	multi	ADJ
bracis-33607	338	35	-	-	ADJ
bracis-33607	338	36	view	view	ADJ
bracis-33607	338	37	feature	feature	NOUN
bracis-33607	338	38	learning	learn	VERB
bracis-33607	338	39	with	with	ADP
bracis-33607	338	40	rbrl	rbrl	PROPN
bracis-33607	338	41	classifier	classifier	NOUN
bracis-33607	338	42	.	.	PUNCT
bracis-33607	339	1	brief	brief	PROPN
bracis-33607	339	2	.	.	PUNCT
bracis-33607	340	1	bioinform	bioinform	NOUN
bracis-33607	340	2	.	.	PUNCT
bracis-33607	341	1	22(5	22(5	NOUN
bracis-33607	341	2	)	)	PUNCT
bracis-33607	341	3	(	(	PUNCT
bracis-33607	341	4	2021	2021	NUM
bracis-33607	341	5	)	)	PUNCT
bracis-33607	341	6	google	google	NOUN
bracis-33607	341	7	scholar	scholar	NOUN
bracis-33607	341	8	  	  	SPACE
bracis-33607	341	9	download	download	NOUN
bracis-33607	341	10	references	reference	NOUN
bracis-33607	341	11	acknowledgment	acknowledgment	NOUN
bracis-33607	341	12	this	this	DET
bracis-33607	341	13	study	study	NOUN
bracis-33607	341	14	was	be	AUX
bracis-33607	341	15	financed	finance	VERB
bracis-33607	341	16	by	by	ADP
bracis-33607	341	17	the	the	DET
bracis-33607	341	18	são	são	PROPN
bracis-33607	341	19	paulo	paulo	PROPN
bracis-33607	341	20	research	research	PROPN
bracis-33607	341	21	foundation	foundation	PROPN
bracis-33607	341	22	(	(	PUNCT
bracis-33607	341	23	fapesp	fapesp	NOUN
bracis-33607	341	24	)	)	PUNCT
bracis-33607	341	25	grants	grant	VERB
bracis-33607	341	26	#	#	SYM
bracis-33607	341	27	2016/25220	2016/25220	NUM
bracis-33607	341	28	-	-	SYM
bracis-33607	341	29	1	1	NUM
bracis-33607	341	30	,	,	PUNCT
bracis-33607	341	31	#	#	SYM
bracis-33607	341	32	2017/24807	2017/24807	NUM
bracis-33607	341	33	-	-	SYM
bracis-33607	341	34	1	1	NUM
bracis-33607	341	35	and	and	CCONJ
bracis-33607	341	36	#	#	SYM
bracis-33607	341	37	2022/02981	2022/02981	NUM
bracis-33607	341	38	-	-	SYM
bracis-33607	341	39	8	8	NUM
bracis-33607	341	40	.	.	PUNCT
bracis-33607	342	1	i.	i.	PROPN
bracis-33607	342	2	triguero	triguero	PROPN
bracis-33607	342	3	is	be	AUX
bracis-33607	342	4	funded	fund	VERB
bracis-33607	342	5	by	by	ADP
bracis-33607	342	6	a	a	DET
bracis-33607	342	7	maria	maria	PROPN
bracis-33607	342	8	zambrano	zambrano	PROPN
bracis-33607	342	9	senior	senior	ADJ
bracis-33607	342	10	fellowship	fellowship	NOUN
bracis-33607	342	11	at	at	ADP
bracis-33607	342	12	the	the	DET
bracis-33607	342	13	university	university	PROPN
bracis-33607	342	14	of	of	ADP
bracis-33607	342	15	granada	granada	PROPN
bracis-33607	342	16	.	.	PUNCT
bracis-33607	343	1	i.	i.	PROPN
bracis-33607	343	2	triguero	triguero	PROPN
bracis-33607	343	3	’s	’s	PART
bracis-33607	343	4	work	work	NOUN
bracis-33607	343	5	is	be	AUX
bracis-33607	343	6	also	also	ADV
bracis-33607	343	7	supported	support	VERB
bracis-33607	343	8	by	by	ADP
bracis-33607	343	9	pid2023	pid2023	NOUN
bracis-33607	343	10	-	-	PUNCT
bracis-33607	343	11	149128nb	149128nb	NOUN
bracis-33607	343	12	-	-	PUNCT
bracis-33607	343	13	i00	i00	NOUN
bracis-33607	343	14	.	.	PUNCT
bracis-33607	344	1	author	author	NOUN
bracis-33607	344	2	information	information	NOUN
bracis-33607	344	3	authors	author	NOUN
bracis-33607	344	4	and	and	CCONJ
bracis-33607	344	5	affiliations	affiliation	NOUN
bracis-33607	344	6	department	department	PROPN
bracis-33607	344	7	of	of	ADP
bracis-33607	344	8	computing	computing	PROPN
bracis-33607	344	9	,	,	PUNCT
bracis-33607	344	10	federal	federal	ADJ
bracis-33607	344	11	university	university	PROPN
bracis-33607	344	12	of	of	ADP
bracis-33607	344	13	são	são	PROPN
bracis-33607	344	14	carlos	carlos	PROPN
bracis-33607	344	15	,	,	PUNCT
bracis-33607	344	16	são	são	PROPN
bracis-33607	344	17	carlos	carlos	PROPN
bracis-33607	344	18	,	,	PUNCT
bracis-33607	344	19	sp	sp	PROPN
bracis-33607	344	20	,	,	PUNCT
bracis-33607	344	21	brazil	brazil	PROPN
bracis-33607	344	22	leonardo	leonardo	PROPN
bracis-33607	344	23	u.	u.	PROPN
bracis-33607	344	24	alcantara	alcantara	PROPN
bracis-33607	344	25	department	department	PROPN
bracis-33607	344	26	of	of	ADP
bracis-33607	344	27	computer	computer	NOUN
bracis-33607	344	28	science	science	NOUN
bracis-33607	344	29	and	and	CCONJ
bracis-33607	344	30	artificial	artificial	ADJ
bracis-33607	344	31	intelligence	intelligence	NOUN
bracis-33607	344	32	,	,	PUNCT
bracis-33607	344	33	university	university	NOUN
bracis-33607	344	34	of	of	ADP
bracis-33607	344	35	granada	granada	PROPN
bracis-33607	344	36	,	,	PUNCT
bracis-33607	344	37	granada	granada	PROPN
bracis-33607	344	38	,	,	PUNCT
bracis-33607	344	39	spain	spain	PROPN
bracis-33607	344	40	isaac	isaac	PROPN
bracis-33607	344	41	triguero	triguero	PROPN
bracis-33607	344	42	institute	institute	PROPN
bracis-33607	344	43	of	of	ADP
bracis-33607	344	44	mathematics	mathematics	PROPN
bracis-33607	344	45	and	and	CCONJ
bracis-33607	344	46	computer	computer	NOUN
bracis-33607	344	47	science	science	NOUN
bracis-33607	344	48	,	,	PUNCT
bracis-33607	344	49	university	university	PROPN
bracis-33607	344	50	of	of	ADP
bracis-33607	344	51	são	são	PROPN
bracis-33607	344	52	paulo	paulo	PROPN
bracis-33607	344	53	,	,	PUNCT
bracis-33607	344	54	são	são	PROPN
bracis-33607	344	55	carlos	carlos	PROPN
bracis-33607	344	56	,	,	PUNCT
bracis-33607	344	57	sp	sp	PROPN
bracis-33607	344	58	,	,	PUNCT
bracis-33607	344	59	brazil	brazil	PROPN
bracis-33607	344	60	ricardo	ricardo	PROPN
bracis-33607	344	61	cerri	cerri	PROPN
bracis-33607	344	62	authors	authors	PROPN
bracis-33607	344	63	leonardo	leonardo	PROPN
bracis-33607	344	64	u.	u.	PROPN
bracis-33607	344	65	alcantaraview	alcantaraview	PROPN
bracis-33607	344	66	author	author	NOUN
bracis-33607	344	67	publications	publication	NOUN
bracis-33607	344	68	search	search	NOUN
bracis-33607	344	69	author	author	NOUN
bracis-33607	344	70	on	on	ADP
bracis-33607	344	71	:	:	PUNCT
bracis-33607	344	72	pubmed	pubmed	PROPN
bracis-33607	344	73	 	 	SPACE
bracis-33607	344	74	google	google	PROPN
bracis-33607	344	75	scholar	scholar	PROPN
bracis-33607	344	76	isaac	isaac	PROPN
bracis-33607	344	77	trigueroview	trigueroview	VERB
bracis-33607	344	78	author	author	NOUN
bracis-33607	344	79	publications	publication	NOUN
bracis-33607	344	80	search	search	NOUN
bracis-33607	344	81	author	author	NOUN
bracis-33607	344	82	on	on	ADP
bracis-33607	344	83	:	:	PUNCT
bracis-33607	344	84	pubmed	pubmed	PROPN
bracis-33607	344	85	 	 	SPACE
bracis-33607	344	86	google	google	PROPN
bracis-33607	344	87	scholar	scholar	NOUN
bracis-33607	344	88	ricardo	ricardo	PROPN
bracis-33607	344	89	cerriview	cerriview	NOUN
bracis-33607	344	90	author	author	NOUN
bracis-33607	344	91	publications	publication	NOUN
bracis-33607	344	92	search	search	NOUN
bracis-33607	344	93	author	author	NOUN
bracis-33607	344	94	on	on	ADP
bracis-33607	344	95	:	:	PUNCT
bracis-33607	344	96	pubmed	pubmed	PROPN
bracis-33607	344	97	 	 	SPACE
bracis-33607	344	98	google	google	PROPN
bracis-33607	344	99	scholar	scholar	NOUN
bracis-33607	344	100	corresponding	correspond	VERB
bracis-33607	344	101	author	author	NOUN
bracis-33607	344	102	correspondence	correspondence	NOUN
bracis-33607	344	103	to	to	ADP
bracis-33607	344	104	ricardo	ricardo	PROPN
bracis-33607	344	105	cerri	cerri	PROPN
bracis-33607	344	106	.	.	PUNCT
bracis-33607	345	1	editor	editor	NOUN
bracis-33607	345	2	information	information	NOUN
bracis-33607	345	3	editors	editor	NOUN
bracis-33607	345	4	and	and	CCONJ
bracis-33607	345	5	affiliations	affiliation	NOUN
bracis-33607	345	6	universidade	universidade	VERB
bracis-33607	345	7	federal	federal	PROPN
bracis-33607	345	8	fluminense	fluminense	PROPN
bracis-33607	345	9	,	,	PUNCT
bracis-33607	345	10	niterói	niterói	PROPN
bracis-33607	345	11	,	,	PUNCT
bracis-33607	345	12	brazil	brazil	PROPN
bracis-33607	345	13	aline	aline	PROPN
bracis-33607	345	14	paes	paes	PROPN
bracis-33607	345	15	instituto	instituto	PROPN
bracis-33607	345	16	tecnológico	tecnológico	PROPN
bracis-33607	345	17	de	de	PROPN
bracis-33607	345	18	aeronáutica	aeronáutica	PROPN
bracis-33607	345	19	,	,	PUNCT
bracis-33607	345	20	são	são	PROPN
bracis-33607	345	21	josé	josé	PROPN
bracis-33607	345	22	dos	dos	PROPN
bracis-33607	345	23	campos	campos	PROPN
bracis-33607	345	24	,	,	PUNCT
bracis-33607	345	25	brazil	brazil	PROPN
bracis-33607	345	26	filipe	filipe	PROPN
bracis-33607	345	27	a.	a.	PROPN
bracis-33607	345	28	n.	n.	PROPN
bracis-33607	345	29	verri	verri	PROPN
bracis-33607	345	30	rights	right	NOUN
bracis-33607	345	31	and	and	CCONJ
bracis-33607	345	32	permissions	permission	NOUN
bracis-33607	345	33	reprints	reprint	NOUN
bracis-33607	345	34	and	and	CCONJ
bracis-33607	345	35	permissions	permission	VERB
bracis-33607	345	36	copyright	copyright	NOUN
bracis-33607	345	37	information	information	NOUN
bracis-33607	345	38	©	©	ADP
bracis-33607	345	39	2025	2025	NUM
bracis-33607	345	40	the	the	DET
bracis-33607	345	41	author(s	author(s	NOUN
bracis-33607	345	42	)	)	PUNCT
bracis-33607	345	43	,	,	PUNCT
bracis-33607	345	44	under	under	ADP
bracis-33607	345	45	exclusive	exclusive	ADJ
bracis-33607	345	46	license	license	NOUN
bracis-33607	345	47	to	to	ADP
bracis-33607	345	48	springer	springer	NOUN
bracis-33607	345	49	nature	nature	PROPN
bracis-33607	345	50	switzerland	switzerland	PROPN
bracis-33607	345	51	ag	ag	PROPN
bracis-33607	345	52	about	about	ADP
bracis-33607	345	53	this	this	DET
bracis-33607	345	54	paper	paper	NOUN
bracis-33607	345	55	cite	cite	VERB
bracis-33607	345	56	this	this	DET
bracis-33607	345	57	paper	paper	NOUN
bracis-33607	345	58	alcantara	alcantara	NOUN
bracis-33607	345	59	,	,	PUNCT
bracis-33607	345	60	l.u	l.u	PROPN
bracis-33607	345	61	.	.	PROPN
bracis-33607	345	62	,	,	PUNCT
bracis-33607	345	63	triguero	triguero	PROPN
bracis-33607	345	64	,	,	PUNCT
bracis-33607	345	65	i.	i.	PROPN
bracis-33607	345	66	,	,	PUNCT
bracis-33607	345	67	cerri	cerri	PROPN
bracis-33607	345	68	,	,	PUNCT
bracis-33607	345	69	r.	r.	PROPN
bracis-33607	345	70	(	(	PUNCT
bracis-33607	345	71	2025	2025	NUM
bracis-33607	345	72	)	)	PUNCT
bracis-33607	345	73	.	.	PUNCT
bracis-33607	346	1	semi	semi	ADJ
bracis-33607	346	2	-	-	ADJ
bracis-33607	346	3	supervised	supervised	ADJ
bracis-33607	346	4	predictive	predictive	ADJ
bracis-33607	346	5	clustering	clustering	NOUN
bracis-33607	346	6	trees	tree	NOUN
bracis-33607	346	7	for	for	ADP
bracis-33607	346	8	 	 	SPACE
bracis-33607	346	9	multi	multi	ADJ
bracis-33607	346	10	-	-	ADJ
bracis-33607	346	11	label	label	ADJ
bracis-33607	346	12	protein	protein	NOUN
bracis-33607	346	13	subcellular	subcellular	ADJ
bracis-33607	346	14	localization	localization	NOUN
bracis-33607	346	15	.	.	PUNCT
bracis-33607	347	1	in	in	ADP
bracis-33607	347	2	:	:	PUNCT
bracis-33607	347	3	paes	paes	PROPN
bracis-33607	347	4	,	,	PUNCT
bracis-33607	347	5	a.	a.	PROPN
bracis-33607	347	6	,	,	PUNCT
bracis-33607	347	7	verri	verri	NOUN
bracis-33607	347	8	,	,	PUNCT
bracis-33607	347	9	f.a.n	f.a.n	ADJ
bracis-33607	347	10	.	.	PUNCT
bracis-33607	347	11	(	(	PUNCT
bracis-33607	347	12	eds	ed	NOUN
bracis-33607	347	13	)	)	PUNCT
bracis-33607	347	14	intelligent	intelligent	ADJ
bracis-33607	347	15	systems	system	NOUN
bracis-33607	347	16	.	.	PUNCT
bracis-33607	347	17	bracis	bracis	PROPN
bracis-33607	347	18	2024	2024	NUM
bracis-33607	347	19	.	.	PUNCT
bracis-33607	348	1	lecture	lecture	NOUN
bracis-33607	348	2	notes	note	NOUN
bracis-33607	348	3	in	in	ADP
bracis-33607	348	4	computer	computer	NOUN
bracis-33607	348	5	science	science	NOUN
bracis-33607	348	6	(	(	PUNCT
bracis-33607	348	7	)	)	PUNCT
bracis-33607	348	8	,	,	PUNCT
bracis-33607	348	9	vol	vol	NOUN
bracis-33607	348	10	15413	15413	NUM
bracis-33607	348	11	.	.	PUNCT
bracis-33607	349	1	springer	springer	NOUN
bracis-33607	349	2	,	,	PUNCT
bracis-33607	349	3	cham	cham	PROPN
bracis-33607	349	4	.	.	PUNCT
bracis-33607	350	1	https://doi.org/10.1007/978-3-031-79032-4_27	https://doi.org/10.1007/978-3-031-79032-4_27	PROPN
bracis-33607	350	2	download	download	NOUN
bracis-33607	350	3	citation	citation	NOUN
bracis-33607	350	4	.ris	.ris	PUNCT
bracis-33607	351	1	.enw	.enw	PROPN
bracis-33607	351	2	.bib	.bib	PUNCT
bracis-33607	352	1	doi	doi	PROPN
bracis-33607	352	2	:	:	PUNCT
bracis-33607	352	3	https://doi.org/10.1007/978-3-031-79032-4_27	https://doi.org/10.1007/978-3-031-79032-4_27	PROPN
bracis-33607	352	4	published	publish	VERB
bracis-33607	352	5	:	:	PUNCT
bracis-33607	352	6	30	30	NUM
bracis-33607	352	7	january	january	PROPN
bracis-33607	352	8	2025	2025	NUM
bracis-33607	352	9	publisher	publisher	NOUN
bracis-33607	352	10	name	name	NOUN
bracis-33607	352	11	:	:	PUNCT
bracis-33607	352	12	springer	springer	NOUN
bracis-33607	352	13	,	,	PUNCT
bracis-33607	352	14	cham	cham	PROPN
bracis-33607	352	15	print	print	PROPN
bracis-33607	352	16	isbn	isbn	PROPN
bracis-33607	352	17	:	:	PUNCT
bracis-33607	352	18	978	978	NUM
bracis-33607	352	19	-	-	SYM
bracis-33607	352	20	3	3	NUM
bracis-33607	352	21	-	-	PUNCT
bracis-33607	352	22	031	031	NUM
bracis-33607	352	23	-	-	PUNCT
bracis-33607	352	24	79031	79031	NUM
bracis-33607	352	25	-	-	SYM
bracis-33607	352	26	7	7	NUM
bracis-33607	352	27	online	online	ADJ
bracis-33607	352	28	isbn	isbn	NOUN
bracis-33607	352	29	:	:	PUNCT
bracis-33607	352	30	978	978	NUM
bracis-33607	352	31	-	-	SYM
bracis-33607	352	32	3	3	NUM
bracis-33607	352	33	-	-	PUNCT
bracis-33607	352	34	031	031	NUM
bracis-33607	352	35	-	-	PUNCT
bracis-33607	352	36	79032	79032	NUM
bracis-33607	352	37	-	-	SYM
bracis-33607	352	38	4	4	NUM
bracis-33607	352	39	ebook	ebook	NOUN
bracis-33607	352	40	packages	package	NOUN
bracis-33607	352	41	:	:	PUNCT
bracis-33607	352	42	computer	computer	NOUN
bracis-33607	352	43	sciencecomputer	sciencecomputer	NOUN
bracis-33607	352	44	science	science	NOUN
bracis-33607	352	45	(	(	PUNCT
bracis-33607	352	46	r0	r0	NOUN
bracis-33607	352	47	)	)	PUNCT
bracis-33607	352	48	share	share	VERB
bracis-33607	352	49	this	this	DET
bracis-33607	352	50	paper	paper	NOUN
bracis-33607	352	51	anyone	anyone	PRON
bracis-33607	352	52	you	you	PRON
bracis-33607	352	53	share	share	VERB
bracis-33607	352	54	the	the	DET
bracis-33607	352	55	following	follow	VERB
bracis-33607	352	56	link	link	NOUN
bracis-33607	352	57	with	with	ADP
bracis-33607	352	58	will	will	AUX
bracis-33607	352	59	be	be	AUX
bracis-33607	352	60	able	able	ADJ
bracis-33607	352	61	to	to	PART
bracis-33607	352	62	read	read	VERB
bracis-33607	352	63	this	this	DET
bracis-33607	352	64	content	content	NOUN
bracis-33607	352	65	:	:	PUNCT
bracis-33607	352	66	get	get	VERB
bracis-33607	352	67	shareable	shareable	ADJ
bracis-33607	352	68	linksorry	linksorry	NOUN
bracis-33607	352	69	,	,	PUNCT
bracis-33607	352	70	a	a	DET
bracis-33607	352	71	shareable	shareable	ADJ
bracis-33607	352	72	link	link	NOUN
bracis-33607	352	73	is	be	AUX
bracis-33607	352	74	not	not	PART
bracis-33607	352	75	currently	currently	ADV
bracis-33607	352	76	available	available	ADJ
bracis-33607	352	77	for	for	ADP
bracis-33607	352	78	this	this	DET
bracis-33607	352	79	article	article	NOUN
bracis-33607	352	80	.	.	PUNCT
bracis-33607	353	1	copy	copy	VERB
bracis-33607	353	2	shareable	shareable	ADJ
bracis-33607	353	3	link	link	NOUN
bracis-33607	353	4	to	to	PART
bracis-33607	353	5	clipboard	clipboard	NOUN
bracis-33607	353	6	provided	provide	VERB
bracis-33607	353	7	by	by	ADP
bracis-33607	353	8	the	the	DET
bracis-33607	353	9	springer	springer	NOUN
bracis-33607	353	10	nature	nature	PROPN
bracis-33607	353	11	sharedit	sharedit	PROPN
bracis-33607	353	12	content	content	NOUN
bracis-33607	353	13	-	-	PUNCT
bracis-33607	353	14	sharing	share	VERB
bracis-33607	353	15	initiative	initiative	NOUN
bracis-33607	353	16	keywords	keyword	NOUN
bracis-33607	353	17	predictive	predictive	ADJ
bracis-33607	353	18	clustering	cluster	VERB
bracis-33607	353	19	trees	tree	NOUN
bracis-33607	353	20	protein	protein	NOUN
bracis-33607	353	21	subcellular	subcellular	ADJ
bracis-33607	353	22	localization	localization	NOUN
bracis-33607	353	23	multi	multi	ADJ
bracis-33607	353	24	-	-	ADJ
bracis-33607	353	25	label	label	ADJ
bracis-33607	353	26	classification	classification	NOUN
bracis-33607	353	27	semi	semi	ADJ
bracis-33607	353	28	-	-	ADJ
bracis-33607	353	29	supervised	supervised	ADJ
bracis-33607	353	30	learning	learning	NOUN
bracis-33607	353	31	publish	publish	VERB
bracis-33607	353	32	with	with	ADP
bracis-33607	353	33	us	us	PROPN
bracis-33607	353	34	policies	policy	NOUN
bracis-33607	353	35	and	and	CCONJ
bracis-33607	353	36	ethics	ethic	NOUN
bracis-33607	353	37	profiles	profile	NOUN
bracis-33607	353	38	isaac	isaac	PROPN
bracis-33607	353	39	triguero	triguero	PROPN
bracis-33607	353	40	view	view	NOUN
bracis-33607	353	41	author	author	NOUN
bracis-33607	353	42	profile	profile	PROPN
bracis-33607	353	43	ricardo	ricardo	PROPN
bracis-33607	353	44	cerri	cerri	PROPN
bracis-33607	353	45	view	view	PROPN
bracis-33607	353	46	author	author	NOUN
bracis-33607	353	47	profile	profile	NOUN
bracis-33607	353	48	search	search	NOUN
bracis-33607	353	49	search	search	NOUN
bracis-33607	353	50	by	by	ADP
bracis-33607	353	51	keyword	keyword	NOUN
bracis-33607	353	52	or	or	CCONJ
bracis-33607	353	53	author	author	NOUN
bracis-33607	353	54	search	search	NOUN
bracis-33607	353	55	navigation	navigation	NOUN
bracis-33607	353	56	find	find	VERB
bracis-33607	353	57	a	a	DET
bracis-33607	353	58	journal	journal	NOUN
bracis-33607	353	59	publish	publish	VERB
bracis-33607	353	60	with	with	ADP
bracis-33607	353	61	us	we	PRON
bracis-33607	353	62	track	track	VERB
bracis-33607	353	63	your	your	PRON
bracis-33607	353	64	research	research	NOUN
bracis-33607	353	65	discover	discover	VERB
bracis-33607	353	66	content	content	NOUN
bracis-33607	353	67	journals	journal	NOUN
bracis-33607	353	68	a	a	DET
bracis-33607	353	69	-	-	PUNCT
bracis-33607	353	70	z	z	NOUN
bracis-33607	353	71	books	book	NOUN
bracis-33607	353	72	a	a	DET
bracis-33607	353	73	-	-	PUNCT
bracis-33607	353	74	z	z	NOUN
bracis-33607	353	75	publish	publish	NOUN
bracis-33607	353	76	with	with	ADP
bracis-33607	353	77	us	us	PROPN
bracis-33607	353	78	journal	journal	PROPN
bracis-33607	353	79	finder	finder	PROPN
bracis-33607	353	80	publish	publish	VERB
bracis-33607	353	81	your	your	PRON
bracis-33607	353	82	research	research	NOUN
bracis-33607	353	83	language	language	NOUN
bracis-33607	353	84	editing	edit	VERB
bracis-33607	353	85	open	open	ADJ
bracis-33607	353	86	access	access	NOUN
bracis-33607	353	87	publishing	publishing	NOUN
bracis-33607	353	88	products	product	NOUN
bracis-33607	353	89	and	and	CCONJ
bracis-33607	353	90	services	service	NOUN
bracis-33607	353	91	our	our	PRON
bracis-33607	353	92	products	product	NOUN
bracis-33607	353	93	librarians	librarian	VERB
bracis-33607	353	94	societies	society	NOUN
bracis-33607	353	95	partners	partner	NOUN
bracis-33607	353	96	and	and	CCONJ
bracis-33607	353	97	advertisers	advertiser	NOUN
bracis-33607	353	98	our	our	PRON
bracis-33607	353	99	brands	brand	NOUN
bracis-33607	353	100	springer	springer	NOUN
bracis-33607	353	101	nature	nature	PROPN
bracis-33607	353	102	portfolio	portfolio	PROPN
bracis-33607	353	103	bmc	bmc	PROPN
bracis-33607	353	104	palgrave	palgrave	PROPN
bracis-33607	353	105	macmillan	macmillan	PROPN
bracis-33607	353	106	apress	apress	PROPN
bracis-33607	353	107	discover	discover	VERB
bracis-33607	353	108	your	your	PRON
bracis-33607	353	109	privacy	privacy	NOUN
bracis-33607	353	110	choices	choice	NOUN
bracis-33607	353	111	/	/	SYM
bracis-33607	353	112	manage	manage	NOUN
bracis-33607	353	113	cookies	cookie	NOUN
bracis-33607	353	114	your	your	PRON
bracis-33607	353	115	us	us	PROPN
bracis-33607	354	1	state	state	NOUN
bracis-33607	354	2	privacy	privacy	NOUN
bracis-33607	354	3	rights	right	NOUN
bracis-33607	354	4	accessibility	accessibility	NOUN
bracis-33607	354	5	statement	statement	NOUN
bracis-33607	354	6	terms	term	NOUN
bracis-33607	354	7	and	and	CCONJ
bracis-33607	354	8	conditions	condition	NOUN
bracis-33607	354	9	privacy	privacy	NOUN
bracis-33607	354	10	policy	policy	NOUN
bracis-33607	354	11	help	help	NOUN
bracis-33607	354	12	and	and	CCONJ
bracis-33607	354	13	support	support	VERB
bracis-33607	354	14	legal	legal	ADJ
bracis-33607	354	15	notice	notice	NOUN
bracis-33607	354	16	cancel	cancel	VERB
bracis-33607	354	17	contracts	contract	NOUN
bracis-33607	354	18	here	here	ADV
bracis-33607	354	19	129.74.145.123	129.74.145.123	NUM
bracis-33607	354	20	hesburgh	hesburgh	PROPN
bracis-33607	354	21	library	library	PROPN
bracis-33607	354	22	er	er	INTJ
bracis-33607	354	23	unit	unit	NOUN
bracis-33607	354	24	(	(	PUNCT
bracis-33607	354	25	3005732405	3005732405	NUM
bracis-33607	354	26	)	)	PUNCT
bracis-33607	354	27	northeast	northeast	ADJ
bracis-33607	354	28	research	research	NOUN
bracis-33607	354	29	libraries	library	NOUN
bracis-33607	354	30	(	(	PUNCT
bracis-33607	354	31	nerl	nerl	PROPN
bracis-33607	354	32	)	)	PUNCT
bracis-33607	354	33	(	(	PUNCT
bracis-33607	354	34	8200828607	8200828607	NUM
bracis-33607	354	35	)	)	PUNCT
bracis-33607	354	36	nerl	nerl	VERB
bracis-33607	354	37	ta	ta	X
bracis-33607	354	38	account	account	NOUN
bracis-33607	354	39	(	(	PUNCT
bracis-33607	354	40	3006206169	3006206169	NUM
bracis-33607	354	41	)	)	PUNCT
bracis-33607	354	42	university	university	NOUN
bracis-33607	354	43	of	of	ADP
bracis-33607	354	44	notre	notre	PROPN
bracis-33607	354	45	dame	dame	PROPN
bracis-33607	354	46	hesburgh	hesburgh	PROPN
bracis-33607	354	47	library	library	NOUN
bracis-33607	354	48	(	(	PUNCT
bracis-33607	354	49	3000184373	3000184373	NUM
bracis-33607	354	50	)	)	PUNCT
bracis-33607	355	1	©	©	ADP
bracis-33607	355	2	2025	2025	NUM
bracis-33607	355	3	springer	springer	NOUN
bracis-33607	355	4	nature	nature	NOUN