id	sid	tid	token	lemma	pos
ajst-15583	1	1	academic	academic	ADJ
ajst-15583	1	2	journal	journal	NOUN
ajst-15583	1	3	of	of	ADP
ajst-15583	1	4	science	science	NOUN
ajst-15583	1	5	and	and	CCONJ
ajst-15583	1	6	technology	technology	NOUN
ajst-15583	1	7	issn	issn	NOUN
ajst-15583	1	8	:	:	PUNCT
ajst-15583	1	9	2771	2771	NUM
ajst-15583	1	10	-	-	SYM
ajst-15583	1	11	3032	3032	NUM
ajst-15583	1	12	|	|	NOUN
ajst-15583	1	13	vol	vol	NOUN
ajst-15583	1	14	.	.	PROPN
ajst-15583	1	15	8	8	NUM
ajst-15583	1	16	,	,	PUNCT
ajst-15583	1	17	no	no	INTJ
ajst-15583	1	18	.	.	NOUN
ajst-15583	1	19	3	3	NUM
ajst-15583	1	20	,	,	PUNCT
ajst-15583	1	21	2023	2023	NUM
ajst-15583	1	22	132	132	NUM
ajst-15583	1	23	the	the	DET
ajst-15583	1	24	application	application	NOUN
ajst-15583	1	25	of	of	ADP
ajst-15583	1	26	artificial	artificial	ADJ
ajst-15583	1	27	intelligence	intelligence	NOUN
ajst-15583	1	28	to	to	ADP
ajst-15583	1	29	the	the	DET
ajst-15583	1	30	bayesian	bayesian	NOUN
ajst-15583	1	31	model	model	NOUN
ajst-15583	1	32	algorithm	algorithm	NOUN
ajst-15583	1	33	for	for	ADP
ajst-15583	1	34	combining	combine	VERB
ajst-15583	1	35	genome	genome	NOUN
ajst-15583	1	36	data	datum	NOUN
ajst-15583	1	37	zepeng	zepeng	NOUN
ajst-15583	1	38	shen1	shen1	NOUN
ajst-15583	1	39	,	,	PUNCT
ajst-15583	1	40	*	*	PROPN
ajst-15583	1	41	,	,	PUNCT
ajst-15583	1	42	kuo	kuo	PROPN
ajst-15583	1	43	wei2	wei2	PROPN
ajst-15583	1	44	,	,	PUNCT
ajst-15583	1	45	hengyi	hengyi	PROPN
ajst-15583	1	46	zang3	zang3	PROPN
ajst-15583	1	47	,	,	PUNCT
ajst-15583	1	48	linxiao	linxiao	PROPN
ajst-15583	1	49	li4	li4	PROPN
ajst-15583	1	50	,	,	PUNCT
ajst-15583	1	51	guanghui	guanghui	PROPN
ajst-15583	1	52	wang5	wang5	PROPN
ajst-15583	1	53	1	1	NUM
ajst-15583	1	54	network	network	NOUN
ajst-15583	1	55	engineering	engineering	NOUN
ajst-15583	1	56	,	,	PUNCT
ajst-15583	1	57	shaanxi	shaanxi	PROPN
ajst-15583	1	58	university	university	PROPN
ajst-15583	1	59	of	of	ADP
ajst-15583	1	60	technology	technology	PROPN
ajst-15583	1	61	,	,	PUNCT
ajst-15583	1	62	shaanxi	shaanxi	PROPN
ajst-15583	1	63	723001	723001	NUM
ajst-15583	1	64	,	,	PUNCT
ajst-15583	1	65	china	china	PROPN
ajst-15583	1	66	2	2	NUM
ajst-15583	1	67	computer	computer	NOUN
ajst-15583	1	68	science	science	NOUN
ajst-15583	1	69	,	,	PUNCT
ajst-15583	1	70	individual	individual	ADJ
ajst-15583	1	71	contributor	contributor	NOUN
ajst-15583	1	72	,	,	PUNCT
ajst-15583	1	73	shenzhen	shenzhen	PROPN
ajst-15583	1	74	,	,	PUNCT
ajst-15583	1	75	china	china	PROPN
ajst-15583	1	76	3	3	NUM
ajst-15583	1	77	big	big	ADJ
ajst-15583	1	78	data	datum	NOUN
ajst-15583	1	79	and	and	CCONJ
ajst-15583	1	80	business	business	NOUN
ajst-15583	1	81	intelligence	intelligence	NOUN
ajst-15583	1	82	,	,	PUNCT
ajst-15583	1	83	international	international	ADJ
ajst-15583	1	84	university	university	NOUN
ajst-15583	1	85	,	,	PUNCT
ajst-15583	1	86	isabella	isabella	PROPN
ajst-15583	2	1	i	i	PROPN
ajst-15583	2	2	of	of	ADP
ajst-15583	2	3	castile	castile	PROPN
ajst-15583	2	4	,	,	PUNCT
ajst-15583	2	5	burgos	burgos	PROPN
ajst-15583	2	6	,	,	PUNCT
ajst-15583	2	7	castile	castile	NOUN
ajst-15583	2	8	and	and	CCONJ
ajst-15583	2	9	león	león	PROPN
ajst-15583	2	10	,	,	PUNCT
ajst-15583	2	11	spain	spain	PROPN
ajst-15583	2	12	4	4	NUM
ajst-15583	2	13	communication	communication	NOUN
ajst-15583	2	14	engineering	engineering	NOUN
ajst-15583	2	15	,	,	PUNCT
ajst-15583	2	16	peking	peking	NOUN
ajst-15583	2	17	university	university	PROPN
ajst-15583	2	18	,	,	PUNCT
ajst-15583	2	19	beijing	beijing	PROPN
ajst-15583	2	20	,	,	PUNCT
ajst-15583	2	21	china	china	PROPN
ajst-15583	2	22	5	5	NUM
ajst-15583	2	23	computer	computer	NOUN
ajst-15583	2	24	science	science	NOUN
ajst-15583	2	25	,	,	PUNCT
ajst-15583	2	26	east	east	PROPN
ajst-15583	2	27	china	china	PROPN
ajst-15583	2	28	university	university	PROPN
ajst-15583	2	29	of	of	ADP
ajst-15583	2	30	science	science	NOUN
ajst-15583	2	31	and	and	CCONJ
ajst-15583	2	32	technology	technology	NOUN
ajst-15583	2	33	,	,	PUNCT
ajst-15583	2	34	shanghai	shanghai	PROPN
ajst-15583	2	35	,	,	PUNCT
ajst-15583	2	36	china	china	PROPN
ajst-15583	2	37	*	*	PUNCT
ajst-15583	2	38	corresponding	correspond	VERB
ajst-15583	2	39	author	author	NOUN
ajst-15583	2	40	:	:	PUNCT
ajst-15583	2	41	farid	farid	PROPN
ajst-15583	2	42	uddin	uddin	PROPN
ajst-15583	2	43	ahmed	ahmed	PROPN
ajst-15583	2	44	(	(	PUNCT
ajst-15583	2	45	email	email	NOUN
ajst-15583	2	46	:	:	PUNCT
ajst-15583	2	47	lubyliu45@gmail.com	lubyliu45@gmail.com	X
ajst-15583	2	48	)	)	PUNCT
ajst-15583	2	49	abstract	abstract	NOUN
ajst-15583	2	50	:	:	PUNCT
ajst-15583	2	51	the	the	DET
ajst-15583	2	52	combination	combination	NOUN
ajst-15583	2	53	of	of	ADP
ajst-15583	2	54	bioinformatics	bioinformatics	NOUN
ajst-15583	2	55	and	and	CCONJ
ajst-15583	2	56	artificial	artificial	ADJ
ajst-15583	2	57	intelligence	intelligence	NOUN
ajst-15583	2	58	(	(	PUNCT
ajst-15583	2	59	ai	ai	NOUN
ajst-15583	2	60	)	)	PUNCT
ajst-15583	2	61	has	have	AUX
ajst-15583	2	62	made	make	VERB
ajst-15583	2	63	significant	significant	ADJ
ajst-15583	2	64	progress	progress	NOUN
ajst-15583	2	65	in	in	ADP
ajst-15583	2	66	the	the	DET
ajst-15583	2	67	current	current	ADJ
ajst-15583	2	68	phase	phase	NOUN
ajst-15583	2	69	.	.	PUNCT
ajst-15583	3	1	ai	ai	AUX
ajst-15583	3	2	technology	technology	NOUN
ajst-15583	3	3	,	,	PUNCT
ajst-15583	3	4	especially	especially	ADV
ajst-15583	3	5	deep	deep	ADJ
ajst-15583	3	6	learning	learning	NOUN
ajst-15583	3	7	,	,	PUNCT
ajst-15583	3	8	has	have	AUX
ajst-15583	3	9	been	be	AUX
ajst-15583	3	10	widely	widely	ADV
ajst-15583	3	11	used	use	VERB
ajst-15583	3	12	in	in	ADP
ajst-15583	3	13	biology	biology	NOUN
ajst-15583	3	14	,	,	PUNCT
ajst-15583	3	15	resulting	result	VERB
ajst-15583	3	16	in	in	ADP
ajst-15583	3	17	many	many	ADJ
ajst-15583	3	18	innovations	innovation	NOUN
ajst-15583	3	19	.	.	PUNCT
ajst-15583	4	1	currently	currently	ADV
ajst-15583	4	2	,	,	PUNCT
ajst-15583	4	3	ai	ai	VERB
ajst-15583	4	4	plays	play	VERB
ajst-15583	4	5	a	a	DET
ajst-15583	4	6	key	key	ADJ
ajst-15583	4	7	role	role	NOUN
ajst-15583	4	8	in	in	ADP
ajst-15583	4	9	genomics	genomic	NOUN
ajst-15583	4	10	,	,	PUNCT
ajst-15583	4	11	proteomics	proteomic	NOUN
ajst-15583	4	12	,	,	PUNCT
ajst-15583	4	13	and	and	CCONJ
ajst-15583	4	14	drug	drug	NOUN
ajst-15583	4	15	discovery	discovery	NOUN
ajst-15583	4	16	.	.	PUNCT
ajst-15583	5	1	deep	deep	ADJ
ajst-15583	5	2	learning	learning	NOUN
ajst-15583	5	3	models	model	NOUN
ajst-15583	5	4	are	be	AUX
ajst-15583	5	5	used	use	VERB
ajst-15583	5	6	to	to	PART
ajst-15583	5	7	predict	predict	VERB
ajst-15583	5	8	protein	protein	NOUN
ajst-15583	5	9	structures	structure	NOUN
ajst-15583	5	10	,	,	PUNCT
ajst-15583	5	11	discover	discover	VERB
ajst-15583	5	12	potential	potential	ADJ
ajst-15583	5	13	drug	drug	NOUN
ajst-15583	5	14	compounds	compound	NOUN
ajst-15583	5	15	,	,	PUNCT
ajst-15583	5	16	interpret	interpret	VERB
ajst-15583	5	17	genomic	genomic	ADJ
ajst-15583	5	18	sequences	sequence	NOUN
ajst-15583	5	19	,	,	PUNCT
ajst-15583	5	20	analyze	analyze	VERB
ajst-15583	5	21	medical	medical	ADJ
ajst-15583	5	22	images	image	NOUN
ajst-15583	5	23	,	,	PUNCT
ajst-15583	5	24	and	and	CCONJ
ajst-15583	5	25	make	make	VERB
ajst-15583	5	26	personalized	personalized	ADJ
ajst-15583	5	27	medical	medical	ADJ
ajst-15583	5	28	recommendations	recommendation	NOUN
ajst-15583	5	29	.	.	PUNCT
ajst-15583	6	1	in	in	ADP
ajst-15583	6	2	addition	addition	NOUN
ajst-15583	6	3	,	,	PUNCT
ajst-15583	6	4	ai	ai	VERB
ajst-15583	6	5	can	can	AUX
ajst-15583	6	6	also	also	ADV
ajst-15583	6	7	help	help	VERB
ajst-15583	6	8	accelerate	accelerate	VERB
ajst-15583	6	9	the	the	DET
ajst-15583	6	10	processing	processing	NOUN
ajst-15583	6	11	and	and	CCONJ
ajst-15583	6	12	interpretation	interpretation	NOUN
ajst-15583	6	13	of	of	ADP
ajst-15583	6	14	biological	biological	ADJ
ajst-15583	6	15	big	big	ADJ
ajst-15583	6	16	data	datum	NOUN
ajst-15583	6	17	,	,	PUNCT
ajst-15583	6	18	helping	help	VERB
ajst-15583	6	19	biologists	biologist	NOUN
ajst-15583	6	20	to	to	PART
ajst-15583	6	21	understand	understand	VERB
ajst-15583	6	22	complex	complex	ADJ
ajst-15583	6	23	problems	problem	NOUN
ajst-15583	6	24	in	in	ADP
ajst-15583	6	25	the	the	DET
ajst-15583	6	26	life	life	NOUN
ajst-15583	6	27	sciences	science	NOUN
ajst-15583	6	28	more	more	ADV
ajst-15583	6	29	deeply	deeply	ADV
ajst-15583	6	30	.	.	PUNCT
ajst-15583	7	1	compared	compare	VERB
ajst-15583	7	2	to	to	ADP
ajst-15583	7	3	traditional	traditional	ADJ
ajst-15583	7	4	genetic	genetic	ADJ
ajst-15583	7	5	data	datum	NOUN
ajst-15583	7	6	analysis	analysis	NOUN
ajst-15583	7	7	methods	method	NOUN
ajst-15583	7	8	,	,	PUNCT
ajst-15583	7	9	ai	ai	AUX
ajst-15583	7	10	combined	combine	VERB
ajst-15583	7	11	with	with	ADP
ajst-15583	7	12	bioinformatics	bioinformatics	NOUN
ajst-15583	7	13	methods	method	NOUN
ajst-15583	7	14	are	be	AUX
ajst-15583	7	15	often	often	ADV
ajst-15583	7	16	faster	fast	ADJ
ajst-15583	7	17	and	and	CCONJ
ajst-15583	7	18	more	more	ADV
ajst-15583	7	19	accurate	accurate	ADJ
ajst-15583	7	20	,	,	PUNCT
ajst-15583	7	21	and	and	CCONJ
ajst-15583	7	22	are	be	AUX
ajst-15583	7	23	capable	capable	ADJ
ajst-15583	7	24	of	of	ADP
ajst-15583	7	25	processing	process	VERB
ajst-15583	7	26	large	large	ADJ
ajst-15583	7	27	-	-	PUNCT
ajst-15583	7	28	scale	scale	NOUN
ajst-15583	7	29	,	,	PUNCT
ajst-15583	7	30	high	high	ADJ
ajst-15583	7	31	-	-	PUNCT
ajst-15583	7	32	dimensional	dimensional	ADJ
ajst-15583	7	33	biological	biological	ADJ
ajst-15583	7	34	data	datum	NOUN
ajst-15583	7	35	,	,	PUNCT
ajst-15583	7	36	opening	open	VERB
ajst-15583	7	37	up	up	ADP
ajst-15583	7	38	unprecedented	unprecedented	ADJ
ajst-15583	7	39	opportunities	opportunity	NOUN
ajst-15583	7	40	for	for	ADP
ajst-15583	7	41	life	life	NOUN
ajst-15583	7	42	science	science	NOUN
ajst-15583	7	43	research	research	NOUN
ajst-15583	7	44	.	.	PUNCT
ajst-15583	8	1	in	in	ADP
ajst-15583	8	2	this	this	DET
ajst-15583	8	3	paper	paper	NOUN
ajst-15583	8	4	,	,	PUNCT
ajst-15583	8	5	the	the	DET
ajst-15583	8	6	whole	whole	ADJ
ajst-15583	8	7	genome	genome	NOUN
ajst-15583	8	8	data	datum	NOUN
ajst-15583	8	9	and	and	CCONJ
ajst-15583	8	10	biomedical	biomedical	ADJ
ajst-15583	8	11	imaging	imaging	NOUN
ajst-15583	8	12	data	datum	NOUN
ajst-15583	8	13	are	be	AUX
ajst-15583	8	14	used	use	VERB
ajst-15583	8	15	from	from	ADP
ajst-15583	8	16	the	the	DET
ajst-15583	8	17	perspective	perspective	NOUN
ajst-15583	8	18	of	of	ADP
ajst-15583	8	19	bayesian	bayesian	NOUN
ajst-15583	8	20	hypothesis	hypothesis	NOUN
ajst-15583	8	21	testing	testing	NOUN
ajst-15583	8	22	.	.	PUNCT
ajst-15583	9	1	genome	genome	NOUN
ajst-15583	9	2	-	-	PUNCT
ajst-15583	9	3	wide	wide	ADJ
ajst-15583	9	4	association	association	NOUN
ajst-15583	9	5	analysis	analysis	NOUN
ajst-15583	9	6	,	,	PUNCT
ajst-15583	9	7	led	lead	VERB
ajst-15583	9	8	by	by	ADP
ajst-15583	9	9	large	large	ADJ
ajst-15583	9	10	-	-	PUNCT
ajst-15583	9	11	scale	scale	NOUN
ajst-15583	9	12	multiple	multiple	ADJ
ajst-15583	9	13	tests	test	NOUN
ajst-15583	9	14	,	,	PUNCT
ajst-15583	9	15	is	be	AUX
ajst-15583	9	16	a	a	DET
ajst-15583	9	17	very	very	ADV
ajst-15583	9	18	popular	popular	ADJ
ajst-15583	9	19	tool	tool	NOUN
ajst-15583	9	20	for	for	ADP
ajst-15583	9	21	identifying	identify	VERB
ajst-15583	9	22	genetic	genetic	ADJ
ajst-15583	9	23	variation	variation	NOUN
ajst-15583	9	24	points	point	NOUN
ajst-15583	9	25	in	in	ADP
ajst-15583	9	26	new	new	ADJ
ajst-15583	9	27	complex	complex	ADJ
ajst-15583	9	28	diseases	disease	NOUN
ajst-15583	9	29	.	.	PUNCT
ajst-15583	10	1	in	in	ADP
ajst-15583	10	2	genome	genome	NOUN
ajst-15583	10	3	-	-	PUNCT
ajst-15583	10	4	wide	wide	ADJ
ajst-15583	10	5	association	association	NOUN
ajst-15583	10	6	analysis	analysis	NOUN
ajst-15583	10	7	,	,	PUNCT
ajst-15583	10	8	tens	ten	NOUN
ajst-15583	10	9	of	of	ADP
ajst-15583	10	10	thousands	thousand	NOUN
ajst-15583	10	11	of	of	ADP
ajst-15583	10	12	snps	snps	PROPN
ajst-15583	10	13	need	need	VERB
ajst-15583	10	14	to	to	PART
ajst-15583	10	15	be	be	AUX
ajst-15583	10	16	tested	test	VERB
ajst-15583	10	17	simultaneously	simultaneously	ADV
ajst-15583	10	18	to	to	PART
ajst-15583	10	19	find	find	VERB
ajst-15583	10	20	out	out	ADP
ajst-15583	10	21	some	some	DET
ajst-15583	10	22	snps	snps	PROPN
ajst-15583	10	23	related	relate	VERB
ajst-15583	10	24	to	to	ADP
ajst-15583	10	25	traits	trait	NOUN
ajst-15583	10	26	.	.	PUNCT
ajst-15583	11	1	these	these	DET
ajst-15583	11	2	tests	test	NOUN
ajst-15583	11	3	are	be	AUX
ajst-15583	11	4	related	relate	VERB
ajst-15583	11	5	due	due	ADJ
ajst-15583	11	6	to	to	ADP
ajst-15583	11	7	factors	factor	NOUN
ajst-15583	11	8	such	such	ADJ
ajst-15583	11	9	as	as	ADP
ajst-15583	11	10	linkage	linkage	NOUN
ajst-15583	11	11	imbalances	imbalance	NOUN
ajst-15583	11	12	in	in	ADP
ajst-15583	11	13	the	the	DET
ajst-15583	11	14	genetic	genetic	ADJ
ajst-15583	11	15	process	process	NOUN
ajst-15583	11	16	,	,	PUNCT
ajst-15583	11	17	and	and	CCONJ
ajst-15583	11	18	the	the	DET
ajst-15583	11	19	test	test	NOUN
ajst-15583	11	20	questions	question	NOUN
ajst-15583	11	21	are	be	AUX
ajst-15583	11	22	set	set	VERB
ajst-15583	11	23	against	against	ADP
ajst-15583	11	24	the	the	DET
ajst-15583	11	25	background	background	NOUN
ajst-15583	11	26	of	of	ADP
ajst-15583	11	27	high	high	ADJ
ajst-15583	11	28	-	-	PUNCT
ajst-15583	11	29	dimensional	dimensional	ADJ
ajst-15583	11	30	data	datum	NOUN
ajst-15583	11	31	(	(	PUNCT
ajst-15583	11	32	p	p	X
ajst-15583	11	33	>	>	X
ajst-15583	11	34	=	=	NOUN
ajst-15583	11	35	n	n	CCONJ
ajst-15583	11	36	)	)	PUNCT
ajst-15583	11	37	.	.	PUNCT
ajst-15583	12	1	keywords	keyword	NOUN
ajst-15583	12	2	:	:	PUNCT
ajst-15583	12	3	bayesian	bayesian	NOUN
ajst-15583	12	4	hypothesis	hypothesis	NOUN
ajst-15583	12	5	;	;	PUNCT
ajst-15583	12	6	large	large	ADJ
ajst-15583	12	7	-	-	PUNCT
ajst-15583	12	8	scale	scale	NOUN
ajst-15583	12	9	genomes	genome	NOUN
ajst-15583	12	10	;	;	PUNCT
ajst-15583	12	11	artificial	artificial	ADJ
ajst-15583	12	12	intelligence	intelligence	NOUN
ajst-15583	12	13	algorithm	algorithm	NOUN
ajst-15583	12	14	.	.	PUNCT
ajst-15583	13	1	1	1	X
ajst-15583	13	2	.	.	X
ajst-15583	13	3	introduction	introduction	NOUN
ajst-15583	13	4	bayesian	bayesian	NOUN
ajst-15583	13	5	network	network	NOUN
ajst-15583	13	6	is	be	AUX
ajst-15583	13	7	a	a	DET
ajst-15583	13	8	probabilistic	probabilistic	ADJ
ajst-15583	13	9	graph	graph	NOUN
ajst-15583	13	10	model	model	NOUN
ajst-15583	13	11	.	.	PUNCT
ajst-15583	14	1	on	on	ADP
ajst-15583	14	2	the	the	DET
ajst-15583	14	3	one	one	NUM
ajst-15583	14	4	hand	hand	NOUN
ajst-15583	14	5	,	,	PUNCT
ajst-15583	14	6	it	it	PRON
ajst-15583	14	7	uses	use	VERB
ajst-15583	14	8	the	the	DET
ajst-15583	14	9	structure	structure	NOUN
ajst-15583	14	10	of	of	ADP
ajst-15583	14	11	directed	direct	VERB
ajst-15583	14	12	acyclic	acyclic	ADJ
ajst-15583	14	13	graph	graph	NOUN
ajst-15583	14	14	to	to	PART
ajst-15583	14	15	describe	describe	VERB
ajst-15583	14	16	the	the	DET
ajst-15583	14	17	intrinsic	intrinsic	ADJ
ajst-15583	14	18	relation	relation	NOUN
ajst-15583	14	19	between	between	ADP
ajst-15583	14	20	random	random	ADJ
ajst-15583	14	21	variables	variable	NOUN
ajst-15583	14	22	from	from	ADP
ajst-15583	14	23	a	a	DET
ajst-15583	14	24	qualitative	qualitative	ADJ
ajst-15583	14	25	point	point	NOUN
ajst-15583	14	26	of	of	ADP
ajst-15583	14	27	view	view	NOUN
ajst-15583	14	28	.	.	PUNCT
ajst-15583	15	1	on	on	ADP
ajst-15583	15	2	the	the	DET
ajst-15583	15	3	other	other	ADJ
ajst-15583	15	4	hand	hand	NOUN
ajst-15583	15	5	,	,	PUNCT
ajst-15583	15	6	on	on	ADP
ajst-15583	15	7	the	the	DET
ajst-15583	15	8	basis	basis	NOUN
ajst-15583	15	9	of	of	ADP
ajst-15583	15	10	directed	direct	VERB
ajst-15583	15	11	acyclic	acyclic	ADJ
ajst-15583	15	12	graph	graph	NOUN
ajst-15583	15	13	structure	structure	NOUN
ajst-15583	15	14	,	,	PUNCT
ajst-15583	15	15	the	the	DET
ajst-15583	15	16	problem	problem	NOUN
ajst-15583	15	17	is	be	AUX
ajst-15583	15	18	decomposed	decompose	VERB
ajst-15583	15	19	by	by	ADP
ajst-15583	15	20	using	use	VERB
ajst-15583	15	21	the	the	DET
ajst-15583	15	22	knowledge	knowledge	NOUN
ajst-15583	15	23	of	of	ADP
ajst-15583	15	24	probability	probability	NOUN
ajst-15583	15	25	theory	theory	NOUN
ajst-15583	15	26	,	,	PUNCT
ajst-15583	15	27	and	and	CCONJ
ajst-15583	15	28	the	the	DET
ajst-15583	15	29	conditional	conditional	ADJ
ajst-15583	15	30	probability	probability	NOUN
ajst-15583	15	31	parameters	parameter	NOUN
ajst-15583	15	32	of	of	ADP
ajst-15583	15	33	each	each	DET
ajst-15583	15	34	parent	parent	NOUN
ajst-15583	15	35	and	and	CCONJ
ajst-15583	15	36	child	child	NOUN
ajst-15583	15	37	node	node	NOUN
ajst-15583	15	38	are	be	AUX
ajst-15583	15	39	used	use	VERB
ajst-15583	15	40	to	to	PART
ajst-15583	15	41	quantitatively	quantitatively	ADV
ajst-15583	15	42	describe	describe	VERB
ajst-15583	15	43	the	the	DET
ajst-15583	15	44	degree	degree	NOUN
ajst-15583	15	45	of	of	ADP
ajst-15583	15	46	influence	influence	NOUN
ajst-15583	15	47	between	between	ADP
ajst-15583	15	48	each	each	DET
ajst-15583	15	49	variable	variable	NOUN
ajst-15583	15	50	,	,	PUNCT
ajst-15583	15	51	and	and	CCONJ
ajst-15583	15	52	the	the	DET
ajst-15583	15	53	complex	complex	ADJ
ajst-15583	15	54	joint	joint	ADJ
ajst-15583	15	55	distribution	distribution	NOUN
ajst-15583	15	56	is	be	AUX
ajst-15583	15	57	simplified	simplify	VERB
ajst-15583	15	58	into	into	ADP
ajst-15583	15	59	a	a	DET
ajst-15583	15	60	series	series	NOUN
ajst-15583	15	61	of	of	ADP
ajst-15583	15	62	simple	simple	ADJ
ajst-15583	15	63	local	local	ADJ
ajst-15583	15	64	distribution	distribution	NOUN
ajst-15583	15	65	!	!	PUNCT
ajst-15583	15	66	.	.	PUNCT
ajst-15583	16	1	bayesian	bayesian	NOUN
ajst-15583	16	2	networks	network	NOUN
ajst-15583	16	3	can	can	AUX
ajst-15583	16	4	not	not	PART
ajst-15583	16	5	only	only	ADV
ajst-15583	16	6	well	well	ADV
ajst-15583	16	7	mine	mine	VERB
ajst-15583	16	8	the	the	DET
ajst-15583	16	9	complex	complex	ADJ
ajst-15583	16	10	dependence	dependence	NOUN
ajst-15583	16	11	relationship	relationship	NOUN
ajst-15583	16	12	between	between	ADP
ajst-15583	16	13	variables	variable	NOUN
ajst-15583	16	14	,	,	PUNCT
ajst-15583	16	15	but	but	CCONJ
ajst-15583	16	16	also	also	ADV
ajst-15583	16	17	have	have	VERB
ajst-15583	16	18	powerful	powerful	ADJ
ajst-15583	16	19	reasoning	reasoning	NOUN
ajst-15583	16	20	ability	ability	NOUN
ajst-15583	16	21	,	,	PUNCT
ajst-15583	16	22	and	and	CCONJ
ajst-15583	16	23	the	the	DET
ajst-15583	16	24	whole	whole	ADJ
ajst-15583	16	25	theory	theory	NOUN
ajst-15583	16	26	is	be	AUX
ajst-15583	16	27	easy	easy	ADJ
ajst-15583	16	28	to	to	PART
ajst-15583	16	29	understand	understand	VERB
ajst-15583	16	30	and	and	CCONJ
ajst-15583	16	31	learn	learn	VERB
ajst-15583	16	32	,	,	PUNCT
ajst-15583	16	33	and	and	CCONJ
ajst-15583	16	34	has	have	AUX
ajst-15583	16	35	become	become	VERB
ajst-15583	16	36	a	a	DET
ajst-15583	16	37	very	very	ADV
ajst-15583	16	38	beneficial	beneficial	ADJ
ajst-15583	16	39	tool	tool	NOUN
ajst-15583	16	40	to	to	PART
ajst-15583	16	41	understand	understand	VERB
ajst-15583	16	42	the	the	DET
ajst-15583	16	43	uncertainty	uncertainty	NOUN
ajst-15583	16	44	problem	problem	NOUN
ajst-15583	16	45	.	.	PUNCT
ajst-15583	17	1	in	in	ADP
ajst-15583	17	2	recent	recent	ADJ
ajst-15583	17	3	years	year	NOUN
ajst-15583	17	4	,	,	PUNCT
ajst-15583	17	5	researches	research	VERB
ajst-15583	17	6	on	on	ADP
ajst-15583	17	7	bayesian	bayesian	NOUN
ajst-15583	17	8	networks	network	NOUN
ajst-15583	17	9	have	have	AUX
ajst-15583	17	10	emerged	emerge	VERB
ajst-15583	17	11	in	in	ADP
ajst-15583	17	12	an	an	DET
ajst-15583	17	13	endless	endless	ADJ
ajst-15583	17	14	stream	stream	NOUN
ajst-15583	17	15	,	,	PUNCT
ajst-15583	17	16	and	and	CCONJ
ajst-15583	17	17	bayesian	bayesian	NOUN
ajst-15583	17	18	network	network	NOUN
ajst-15583	17	19	models	model	NOUN
ajst-15583	17	20	have	have	AUX
ajst-15583	17	21	been	be	AUX
ajst-15583	17	22	applied	apply	VERB
ajst-15583	17	23	to	to	ADP
ajst-15583	17	24	various	various	ADJ
ajst-15583	17	25	fields	field	NOUN
ajst-15583	17	26	,	,	PUNCT
ajst-15583	17	27	such	such	ADJ
ajst-15583	17	28	as	as	ADP
ajst-15583	17	29	medicine	medicine	NOUN
ajst-15583	17	30	and	and	CCONJ
ajst-15583	17	31	health	health	NOUN
ajst-15583	17	32	technology	technology	NOUN
ajst-15583	18	1	[	[	X
ajst-15583	18	2	1	1	NUM
ajst-15583	18	3	]	]	PUNCT
ajst-15583	18	4	,	,	PUNCT
ajst-15583	18	5	engineering	engineer	VERB
ajst-15583	18	6	[	[	X
ajst-15583	18	7	2	2	NUM
ajst-15583	18	8	]	]	PUNCT
ajst-15583	18	9	,	,	PUNCT
ajst-15583	18	10	and	and	CCONJ
ajst-15583	18	11	environmental	environmental	ADJ
ajst-15583	18	12	science	science	NOUN
ajst-15583	18	13	[	[	X
ajst-15583	18	14	3	3	NUM
ajst-15583	18	15	]	]	PUNCT
ajst-15583	18	16	.	.	PUNCT
ajst-15583	19	1	the	the	DET
ajst-15583	19	2	bayesian	bayesian	NOUN
ajst-15583	19	3	network	network	NOUN
ajst-15583	19	4	model	model	NOUN
ajst-15583	19	5	of	of	ADP
ajst-15583	19	6	large	large	ADJ
ajst-15583	19	7	-	-	PUNCT
ajst-15583	19	8	scale	scale	NOUN
ajst-15583	19	9	genomic	genomic	NOUN
ajst-15583	19	10	data	datum	NOUN
ajst-15583	19	11	based	base	VERB
ajst-15583	19	12	on	on	ADP
ajst-15583	19	13	ai	ai	PRON
ajst-15583	19	14	technology	technology	NOUN
ajst-15583	19	15	to	to	PART
ajst-15583	19	16	solve	solve	VERB
ajst-15583	19	17	practical	practical	ADJ
ajst-15583	19	18	problems	problem	NOUN
ajst-15583	19	19	often	often	ADV
ajst-15583	19	20	includes	include	VERB
ajst-15583	19	21	three	three	NUM
ajst-15583	19	22	steps	step	NOUN
ajst-15583	19	23	,	,	PUNCT
ajst-15583	19	24	namely	namely	ADV
ajst-15583	19	25	structure	structure	NOUN
ajst-15583	19	26	learning	learning	NOUN
ajst-15583	19	27	,	,	PUNCT
ajst-15583	19	28	parameter	parameter	NOUN
ajst-15583	19	29	learning	learning	NOUN
ajst-15583	19	30	and	and	CCONJ
ajst-15583	19	31	knowledge	knowledge	NOUN
ajst-15583	19	32	reasoning	reasoning	NOUN
ajst-15583	19	33	.	.	PUNCT
ajst-15583	20	1	the	the	DET
ajst-15583	20	2	process	process	NOUN
ajst-15583	20	3	of	of	ADP
ajst-15583	20	4	structure	structure	NOUN
ajst-15583	20	5	learning	learning	NOUN
ajst-15583	20	6	is	be	AUX
ajst-15583	20	7	the	the	DET
ajst-15583	20	8	process	process	NOUN
ajst-15583	20	9	of	of	ADP
ajst-15583	20	10	training	train	VERB
ajst-15583	20	11	a	a	DET
ajst-15583	20	12	directed	direct	VERB
ajst-15583	20	13	acyclic	acyclic	ADJ
ajst-15583	20	14	graph	graph	NOUN
ajst-15583	20	15	that	that	PRON
ajst-15583	20	16	can	can	AUX
ajst-15583	20	17	fit	fit	VERB
ajst-15583	20	18	the	the	DET
ajst-15583	20	19	relationship	relationship	NOUN
ajst-15583	20	20	between	between	ADP
ajst-15583	20	21	variables	variable	NOUN
ajst-15583	20	22	to	to	ADP
ajst-15583	20	23	the	the	DET
ajst-15583	20	24	greatest	great	ADJ
ajst-15583	20	25	extent	extent	NOUN
ajst-15583	20	26	through	through	ADP
ajst-15583	20	27	some	some	DET
ajst-15583	20	28	structure	structure	NOUN
ajst-15583	20	29	learning	learn	VERB
ajst-15583	20	30	algorithm	algorithm	NOUN
ajst-15583	20	31	.	.	PUNCT
ajst-15583	21	1	parameter	parameter	NOUN
ajst-15583	21	2	learning	learning	NOUN
ajst-15583	21	3	is	be	AUX
ajst-15583	21	4	also	also	ADV
ajst-15583	21	5	called	call	VERB
ajst-15583	21	6	parameter	parameter	NOUN
ajst-15583	21	7	estimation[4	estimation[4	ADP
ajst-15583	21	8	]	]	PUNCT
ajst-15583	21	9	.	.	PUNCT
ajst-15583	22	1	after	after	ADP
ajst-15583	22	2	completing	complete	VERB
ajst-15583	22	3	structure	structure	NOUN
ajst-15583	22	4	learning	learning	NOUN
ajst-15583	22	5	,	,	PUNCT
ajst-15583	22	6	conditional	conditional	ADJ
ajst-15583	22	7	probability	probability	NOUN
ajst-15583	22	8	parameters	parameter	NOUN
ajst-15583	22	9	in	in	ADP
ajst-15583	22	10	the	the	DET
ajst-15583	22	11	conditional	conditional	ADJ
ajst-15583	22	12	probability	probability	NOUN
ajst-15583	22	13	distribution	distribution	NOUN
ajst-15583	22	14	table	table	NOUN
ajst-15583	22	15	of	of	ADP
ajst-15583	22	16	each	each	DET
ajst-15583	22	17	node	node	NOUN
ajst-15583	22	18	need	need	VERB
ajst-15583	22	19	to	to	PART
ajst-15583	22	20	be	be	AUX
ajst-15583	22	21	learned	learn	VERB
ajst-15583	22	22	to	to	PART
ajst-15583	22	23	describe	describe	VERB
ajst-15583	22	24	the	the	DET
ajst-15583	22	25	correlation	correlation	NOUN
ajst-15583	22	26	strength	strength	NOUN
ajst-15583	22	27	between	between	ADP
ajst-15583	22	28	variables	variable	NOUN
ajst-15583	22	29	from	from	ADP
ajst-15583	22	30	a	a	DET
ajst-15583	22	31	quantitative	quantitative	ADJ
ajst-15583	22	32	perspective	perspective	NOUN
ajst-15583	22	33	.	.	PUNCT
ajst-15583	23	1	thus	thus	ADV
ajst-15583	23	2	,	,	PUNCT
ajst-15583	23	3	bayesian	bayesian	NOUN
ajst-15583	23	4	network	network	NOUN
ajst-15583	23	5	learning	learning	NOUN
ajst-15583	23	6	is	be	AUX
ajst-15583	23	7	completed	complete	VERB
ajst-15583	23	8	.	.	PUNCT
ajst-15583	24	1	figure	figure	NOUN
ajst-15583	24	2	1	1	NUM
ajst-15583	24	3	.	.	PUNCT
ajst-15583	24	4	construct	construct	VERB
ajst-15583	24	5	genome	genome	NOUN
ajst-15583	24	6	-	-	PUNCT
ajst-15583	24	7	wide	wide	ADJ
ajst-15583	24	8	interaction	interaction	NOUN
ajst-15583	24	9	network	network	NOUN
ajst-15583	24	10	and	and	CCONJ
ajst-15583	24	11	gene	gene	NOUN
ajst-15583	24	12	expression	expression	NOUN
ajst-15583	24	13	regulation	regulation	NOUN
ajst-15583	24	14	network	network	NOUN
ajst-15583	24	15	;	;	PUNCT
ajst-15583	24	16	construct	construct	VERB
ajst-15583	24	17	a	a	DET
ajst-15583	24	18	3d	3d	NUM
ajst-15583	24	19	structure	structure	NOUN
ajst-15583	24	20	map	map	NOUN
ajst-15583	24	21	of	of	ADP
ajst-15583	24	22	chromatin	chromatin	NOUN
ajst-15583	24	23	therefore	therefore	ADV
ajst-15583	24	24	,	,	PUNCT
ajst-15583	24	25	based	base	VERB
ajst-15583	24	26	on	on	ADP
ajst-15583	24	27	the	the	DET
ajst-15583	24	28	expression	expression	NOUN
ajst-15583	24	29	profile	profile	NOUN
ajst-15583	24	30	data	datum	NOUN
ajst-15583	24	31	,	,	PUNCT
ajst-15583	24	32	a	a	DET
ajst-15583	24	33	network	network	NOUN
ajst-15583	24	34	model	model	NOUN
ajst-15583	24	35	of	of	ADP
ajst-15583	24	36	gene	gene	NOUN
ajst-15583	24	37	interaction	interaction	NOUN
ajst-15583	24	38	can	can	AUX
ajst-15583	24	39	be	be	AUX
ajst-15583	24	40	established	establish	VERB
ajst-15583	24	41	,	,	PUNCT
ajst-15583	24	42	which	which	PRON
ajst-15583	24	43	can	can	AUX
ajst-15583	24	44	be	be	AUX
ajst-15583	24	45	called	call	VERB
ajst-15583	24	46	reverse	reverse	ADJ
ajst-15583	24	47	engineer	engineer	NOUN
ajst-15583	24	48	ing[5	ing[5	NOUN
ajst-15583	24	49	]	]	PUNCT
ajst-15583	24	50	.	.	PUNCT
ajst-15583	25	1	common	common	ADJ
ajst-15583	25	2	gene	gene	NOUN
ajst-15583	25	3	regulatory	regulatory	ADJ
ajst-15583	25	4	network	network	NOUN
ajst-15583	25	5	models	model	NOUN
ajst-15583	25	6	include	include	VERB
ajst-15583	25	7	boolean	boolean	ADJ
ajst-15583	25	8	network	network	NOUN
ajst-15583	25	9	model	model	NOUN
ajst-15583	25	10	,	,	PUNCT
ajst-15583	25	11	linear	linear	ADJ
ajst-15583	25	12	combination	combination	NOUN
ajst-15583	25	13	model	model	NOUN
ajst-15583	25	14	,	,	PUNCT
ajst-15583	25	15	markov	markov	NOUN
ajst-15583	25	16	model	model	NOUN
ajst-15583	25	17	,	,	PUNCT
ajst-15583	25	18	weighted	weighted	ADJ
ajst-15583	25	19	matrix	matrix	NOUN
ajst-15583	25	20	model	model	NOUN
ajst-15583	25	21	,	,	PUNCT
ajst-15583	25	22	mutual	mutual	ADJ
ajst-15583	25	23	information	information	NOUN
ajst-15583	25	24	association	association	NOUN
ajst-15583	25	25	model	model	NOUN
ajst-15583	25	26	and	and	CCONJ
ajst-15583	25	27	bayesian	bayesian	NOUN
ajst-15583	25	28	network	network	NOUN
ajst-15583	25	29	model	model	NOUN
ajst-15583	25	30	.	.	PUNCT
ajst-15583	26	1	133	133	NUM
ajst-15583	26	2	2	2	NUM
ajst-15583	26	3	.	.	PUNCT
ajst-15583	26	4	related	relate	VERB
ajst-15583	26	5	work	work	NOUN
ajst-15583	26	6	2.1	2.1	NUM
ajst-15583	26	7	.	.	PUNCT
ajst-15583	27	1	bayesian	bayesian	NOUN
ajst-15583	27	2	method	method	VERB
ajst-15583	27	3	the	the	DET
ajst-15583	27	4	bayesian	bayesian	NOUN
ajst-15583	27	5	network	network	NOUN
ajst-15583	27	6	parameter	parameter	NOUN
ajst-15583	27	7	is	be	AUX
ajst-15583	27	8	to	to	PART
ajst-15583	27	9	calculate	calculate	VERB
ajst-15583	27	10	the	the	DET
ajst-15583	27	11	posterior	posterior	ADJ
ajst-15583	27	12	probability	probability	NOUN
ajst-15583	27	13	p(θ|s	p(θ|s	NOUN
ajst-15583	27	14	)	)	PUNCT
ajst-15583	27	15	and	and	CCONJ
ajst-15583	27	16	use	use	VERB
ajst-15583	27	17	it	it	PRON
ajst-15583	27	18	as	as	ADP
ajst-15583	27	19	the	the	DET
ajst-15583	27	20	premise	premise	NOUN
ajst-15583	27	21	for	for	ADP
ajst-15583	27	22	estimating	estimate	VERB
ajst-15583	27	23	the	the	DET
ajst-15583	27	24	parameter	parameter	NOUN
ajst-15583	27	25	.	.	PUNCT
ajst-15583	28	1	the	the	DET
ajst-15583	28	2	basic	basic	ADJ
ajst-15583	28	3	idea	idea	NOUN
ajst-15583	28	4	of	of	ADP
ajst-15583	28	5	bayes	bayes	PROPN
ajst-15583	28	6	is	be	AUX
ajst-15583	28	7	a	a	DET
ajst-15583	28	8	relatively	relatively	ADV
ajst-15583	28	9	complete	complete	ADJ
ajst-15583	28	10	set	set	NOUN
ajst-15583	28	11	of	of	ADP
ajst-15583	28	12	instance	instance	NOUN
ajst-15583	28	13	data	datum	NOUN
ajst-15583	28	14	d	d	PROPN
ajst-15583	28	15	and	and	CCONJ
ajst-15583	28	16	a	a	DET
ajst-15583	28	17	topological	topological	ADJ
ajst-15583	28	18	structure	structure	NOUN
ajst-15583	28	19	s	s	PART
ajst-15583	28	20	and	and	CCONJ
ajst-15583	28	21	a	a	DET
ajst-15583	28	22	distribution	distribution	NOUN
ajst-15583	28	23	with	with	ADP
ajst-15583	28	24	unknown	unknown	ADJ
ajst-15583	28	25	parameters	parameter	NOUN
ajst-15583	28	26	,	,	PUNCT
ajst-15583	28	27	θ	θ	PROPN
ajst-15583	28	28	represents	represent	VERB
ajst-15583	28	29	a	a	DET
ajst-15583	28	30	random	random	ADJ
ajst-15583	28	31	variable	variable	NOUN
ajst-15583	28	32	,	,	PUNCT
ajst-15583	28	33	its	its	PRON
ajst-15583	28	34	prior	prior	ADJ
ajst-15583	28	35	distribution	distribution	NOUN
ajst-15583	28	36	is	be	AUX
ajst-15583	28	37	denoted	denote	VERB
ajst-15583	28	38	p(θ	p(θ	PROPN
ajst-15583	28	39	)	)	PUNCT
ajst-15583	28	40	,	,	PUNCT
ajst-15583	28	41	and	and	CCONJ
ajst-15583	28	42	p(θ	p(θ	PROPN
ajst-15583	28	43	)	)	PUNCT
ajst-15583	28	44	follows	follow	VERB
ajst-15583	28	45	uniform	uniform	ADJ
ajst-15583	28	46	distribution	distribution	NOUN
ajst-15583	28	47	,	,	PUNCT
ajst-15583	28	48	p(θ|s	p(θ|s	NUM
ajst-15583	28	49	)	)	PUNCT
ajst-15583	28	50	is	be	AUX
ajst-15583	28	51	called	call	VERB
ajst-15583	28	52	the	the	DET
ajst-15583	28	53	posterior	posterior	ADJ
ajst-15583	28	54	probability	probability	NOUN
ajst-15583	28	55	of	of	ADP
ajst-15583	28	56	the	the	DET
ajst-15583	28	57	parameter	parameter	NOUN
ajst-15583	28	58	θ	θ	PROPN
ajst-15583	28	59	.	.	PUNCT
ajst-15583	29	1	if	if	SCONJ
ajst-15583	29	2	the	the	DET
ajst-15583	29	3	dirichlet	dirichlet	NOUN
ajst-15583	29	4	distribution	distribution	NOUN
ajst-15583	29	5	is	be	AUX
ajst-15583	29	6	used	use	VERB
ajst-15583	29	7	as	as	ADP
ajst-15583	29	8	the	the	DET
ajst-15583	29	9	prior	prior	ADJ
ajst-15583	29	10	distribution	distribution	NOUN
ajst-15583	29	11	,	,	PUNCT
ajst-15583	29	12	then	then	ADV
ajst-15583	29	13	:	:	PUNCT
ajst-15583	29	14	(	(	PUNCT
ajst-15583	29	15	1	1	X
ajst-15583	29	16	)	)	PUNCT
ajst-15583	29	17	if	if	SCONJ
ajst-15583	29	18	the	the	DET
ajst-15583	29	19	above	above	ADJ
ajst-15583	29	20	formula	formula	NOUN
ajst-15583	29	21	is	be	AUX
ajst-15583	29	22	used	use	VERB
ajst-15583	29	23	in	in	ADP
ajst-15583	29	24	the	the	DET
ajst-15583	29	25	case	case	NOUN
ajst-15583	29	26	of	of	ADP
ajst-15583	29	27	incomplete	incomplete	ADJ
ajst-15583	29	28	genomic	genomic	ADJ
ajst-15583	29	29	data	datum	NOUN
ajst-15583	29	30	,	,	PUNCT
ajst-15583	29	31	θ	θ	PROPN
ajst-15583	29	32	as	as	ADP
ajst-15583	29	33	a	a	DET
ajst-15583	29	34	parameter	parameter	NOUN
ajst-15583	29	35	transforms	transform	VERB
ajst-15583	29	36	into	into	ADP
ajst-15583	29	37	the	the	DET
ajst-15583	29	38	following	follow	VERB
ajst-15583	29	39	algorithm	algorithm	NOUN
ajst-15583	29	40	:	:	PUNCT
ajst-15583	29	41	(	(	PUNCT
ajst-15583	29	42	2	2	X
ajst-15583	29	43	)	)	PUNCT
ajst-15583	29	44	where	where	SCONJ
ajst-15583	29	45	nijk	nijk	PRON
ajst-15583	29	46	meets	meet	VERB
ajst-15583	29	47	the	the	DET
ajst-15583	29	48	condition	condition	NOUN
ajst-15583	29	49	in	in	ADP
ajst-15583	29	50	sample	sample	NOUN
ajst-15583	29	51	set	set	VERB
ajst-15583	30	1	d	d	X
ajst-15583	30	2	:	:	PUNCT
ajst-15583	30	3	xi	xi	PROPN
ajst-15583	30	4	=	=	SYM
ajst-15583	30	5	xik	xik	PROPN
ajst-15583	30	6	,	,	PUNCT
ajst-15583	30	7	and	and	CCONJ
ajst-15583	30	8	the	the	DET
ajst-15583	30	9	verified	verify	VERB
ajst-15583	30	10	bayesian	bayesian	NOUN
ajst-15583	30	11	grid	grid	NOUN
ajst-15583	30	12	result	result	NOUN
ajst-15583	30	13	is	be	AUX
ajst-15583	30	14	:	:	PUNCT
ajst-15583	30	15	(	(	PUNCT
ajst-15583	30	16	3	3	X
ajst-15583	30	17	)	)	PUNCT
ajst-15583	30	18	for	for	ADP
ajst-15583	30	19	the	the	DET
ajst-15583	30	20	probability	probability	NOUN
ajst-15583	30	21	parameters	parameter	NOUN
ajst-15583	30	22	of	of	ADP
ajst-15583	30	23	incomplete	incomplete	ADJ
ajst-15583	30	24	genetic	genetic	ADJ
ajst-15583	30	25	data	datum	NOUN
ajst-15583	30	26	,	,	PUNCT
ajst-15583	30	27	their	their	PRON
ajst-15583	30	28	main	main	ADJ
ajst-15583	30	29	idea	idea	NOUN
ajst-15583	30	30	is	be	AUX
ajst-15583	30	31	the	the	DET
ajst-15583	30	32	same	same	ADJ
ajst-15583	30	33	,	,	PUNCT
ajst-15583	30	34	both	both	PRON
ajst-15583	30	35	are	be	AUX
ajst-15583	30	36	to	to	PART
ajst-15583	30	37	use	use	VERB
ajst-15583	30	38	the	the	DET
ajst-15583	30	39	existing	exist	VERB
ajst-15583	30	40	data	datum	NOUN
ajst-15583	30	41	to	to	PART
ajst-15583	30	42	infer	infer	VERB
ajst-15583	30	43	the	the	DET
ajst-15583	30	44	missing	miss	VERB
ajst-15583	30	45	data	datum	NOUN
ajst-15583	30	46	,	,	PUNCT
ajst-15583	30	47	and	and	CCONJ
ajst-15583	30	48	then	then	ADV
ajst-15583	30	49	continuously	continuously	ADV
ajst-15583	30	50	repair	repair	VERB
ajst-15583	30	51	the	the	DET
ajst-15583	30	52	missing	miss	VERB
ajst-15583	30	53	data	datum	NOUN
ajst-15583	30	54	to	to	PART
ajst-15583	30	55	improve	improve	VERB
ajst-15583	30	56	the	the	DET
ajst-15583	30	57	database	database	NOUN
ajst-15583	30	58	,	,	PUNCT
ajst-15583	30	59	so	so	SCONJ
ajst-15583	30	60	as	as	SCONJ
ajst-15583	30	61	to	to	PART
ajst-15583	30	62	achieve	achieve	VERB
ajst-15583	30	63	cyclic	cyclic	ADJ
ajst-15583	30	64	iteration	iteration	NOUN
ajst-15583	30	65	to	to	ADP
ajst-15583	30	66	gradual	gradual	ADJ
ajst-15583	30	67	refinement	refinement	NOUN
ajst-15583	30	68	.	.	PUNCT
ajst-15583	31	1	2.2	2.2	NUM
ajst-15583	31	2	.	.	PUNCT
ajst-15583	31	3	esl	esl	PROPN
ajst-15583	31	4	-	-	PUNCT
ajst-15583	31	5	ga	ga	PROPN
ajst-15583	31	6	algorithm	algorithm	PROPN
ajst-15583	31	7	esl	esl	PROPN
ajst-15583	31	8	-	-	PUNCT
ajst-15583	31	9	ga	ga	PROPN
ajst-15583	31	10	algorithm	algorithm	PROPN
ajst-15583	31	11	uses	use	VERB
ajst-15583	31	12	an	an	DET
ajst-15583	31	13	elite	elite	NOUN
ajst-15583	31	14	-	-	PUNCT
ajst-15583	31	15	guided	guide	VERB
ajst-15583	31	16	adaptive	adaptive	ADJ
ajst-15583	31	17	genetic	genetic	ADJ
ajst-15583	31	18	algorithm	algorithm	NOUN
ajst-15583	31	19	to	to	PART
ajst-15583	31	20	train	train	VERB
ajst-15583	31	21	the	the	DET
ajst-15583	31	22	optimal	optimal	ADJ
ajst-15583	31	23	bayesian	bayesian	NOUN
ajst-15583	31	24	network	network	NOUN
ajst-15583	31	25	structure	structure	NOUN
ajst-15583	31	26	,	,	PUNCT
ajst-15583	31	27	which	which	PRON
ajst-15583	31	28	reduces	reduce	VERB
ajst-15583	31	29	the	the	DET
ajst-15583	31	30	time	time	NOUN
ajst-15583	31	31	complexity	complexity	NOUN
ajst-15583	31	32	of	of	ADP
ajst-15583	31	33	the	the	DET
ajst-15583	31	34	algorithm	algorithm	NOUN
ajst-15583	31	35	to	to	ADP
ajst-15583	31	36	a	a	DET
ajst-15583	31	37	certain	certain	ADJ
ajst-15583	31	38	extent	extent	NOUN
ajst-15583	31	39	,	,	PUNCT
ajst-15583	31	40	and	and	CCONJ
ajst-15583	31	41	also	also	ADV
ajst-15583	31	42	provides	provide	VERB
ajst-15583	31	43	a	a	DET
ajst-15583	31	44	practical	practical	ADJ
ajst-15583	31	45	method	method	NOUN
ajst-15583	31	46	for	for	ADP
ajst-15583	31	47	better	well	ADV
ajst-15583	31	48	learning	learn	VERB
ajst-15583	31	49	bayesian	bayesian	NOUN
ajst-15583	31	50	networks	network	NOUN
ajst-15583	31	51	of	of	ADP
ajst-15583	31	52	different	different	ADJ
ajst-15583	31	53	sizes	size	NOUN
ajst-15583	31	54	under	under	ADP
ajst-15583	31	55	small	small	ADJ
ajst-15583	31	56	training	training	NOUN
ajst-15583	31	57	data	datum	NOUN
ajst-15583	31	58	,	,	PUNCT
ajst-15583	31	59	which	which	PRON
ajst-15583	31	60	makes	make	VERB
ajst-15583	31	61	me	i	PRON
ajst-15583	31	62	see	see	VERB
ajst-15583	31	63	a	a	DET
ajst-15583	31	64	breakthrough	breakthrough	NOUN
ajst-15583	31	65	to	to	PART
ajst-15583	31	66	solve	solve	VERB
ajst-15583	31	67	the	the	DET
ajst-15583	31	68	above	above	ADJ
ajst-15583	31	69	pain	pain	NOUN
ajst-15583	31	70	points[6	points[6	NOUN
ajst-15583	31	71	-	-	SYM
ajst-15583	31	72	8	8	NUM
ajst-15583	31	73	]	]	PUNCT
ajst-15583	31	74	.	.	PUNCT
ajst-15583	32	1	therefore	therefore	ADV
ajst-15583	32	2	,	,	PUNCT
ajst-15583	32	3	this	this	DET
ajst-15583	32	4	paper	paper	NOUN
ajst-15583	32	5	introduces	introduce	VERB
ajst-15583	32	6	the	the	DET
ajst-15583	32	7	idea	idea	NOUN
ajst-15583	32	8	of	of	ADP
ajst-15583	32	9	ensemble	ensemble	ADJ
ajst-15583	32	10	learning	learning	NOUN
ajst-15583	32	11	,	,	PUNCT
ajst-15583	32	12	takes	take	VERB
ajst-15583	32	13	esl	esl	PROPN
ajst-15583	32	14	-	-	PUNCT
ajst-15583	32	15	ga	ga	NOUN
ajst-15583	32	16	algorithm	algorithm	NOUN
ajst-15583	32	17	as	as	ADP
ajst-15583	32	18	the	the	DET
ajst-15583	32	19	base	base	NOUN
ajst-15583	32	20	learner	learner	NOUN
ajst-15583	32	21	and	and	CCONJ
ajst-15583	32	22	uses	use	VERB
ajst-15583	32	23	the	the	DET
ajst-15583	32	24	fusion	fusion	NOUN
ajst-15583	32	25	strategy	strategy	NOUN
ajst-15583	32	26	of	of	ADP
ajst-15583	32	27	weighted	weight	VERB
ajst-15583	32	28	average	average	ADJ
ajst-15583	32	29	method	method	NOUN
ajst-15583	32	30	to	to	PART
ajst-15583	32	31	construct	construct	VERB
ajst-15583	32	32	the	the	DET
ajst-15583	32	33	bayesian	bayesian	NOUN
ajst-15583	32	34	network	network	NOUN
ajst-15583	32	35	hybrid	hybrid	NOUN
ajst-15583	32	36	structure	structure	NOUN
ajst-15583	32	37	learning	learn	VERB
ajst-15583	32	38	algorithm	algorithm	PROPN
ajst-15583	32	39	en	en	PROPN
ajst-15583	32	40	-	-	PUNCT
ajst-15583	32	41	esl	esl	PROPN
ajst-15583	32	42	-	-	PUNCT
ajst-15583	32	43	ga	ga	NOUN
ajst-15583	32	44	.	.	PUNCT
ajst-15583	33	1	in	in	ADP
ajst-15583	33	2	order	order	NOUN
ajst-15583	33	3	to	to	PART
ajst-15583	33	4	further	far	ADV
ajst-15583	33	5	improve	improve	VERB
ajst-15583	33	6	the	the	DET
ajst-15583	33	7	accuracy	accuracy	NOUN
ajst-15583	33	8	and	and	CCONJ
ajst-15583	33	9	reliability	reliability	NOUN
ajst-15583	33	10	of	of	ADP
ajst-15583	33	11	esl	esl	PROPN
ajst-15583	33	12	-	-	PUNCT
ajst-15583	33	13	ga	ga	PROPN
ajst-15583	33	14	algorithm	algorithm	NOUN
ajst-15583	33	15	in	in	ADP
ajst-15583	33	16	learning	learn	VERB
ajst-15583	33	17	the	the	DET
ajst-15583	33	18	final	final	ADJ
ajst-15583	33	19	structure	structure	NOUN
ajst-15583	33	20	of	of	ADP
ajst-15583	33	21	bayesian	bayesian	NOUN
ajst-15583	33	22	networks	network	NOUN
ajst-15583	33	23	,	,	PUNCT
ajst-15583	33	24	and	and	CCONJ
ajst-15583	33	25	make	make	VERB
ajst-15583	33	26	the	the	DET
ajst-15583	33	27	esl	esl	PROPN
ajst-15583	33	28	-	-	PUNCT
ajst-15583	33	29	ga	ga	PROPN
ajst-15583	33	30	algorithm	algorithm	NOUN
ajst-15583	33	31	better	well	ADV
ajst-15583	33	32	applied	apply	VERB
ajst-15583	33	33	to	to	ADP
ajst-15583	33	34	practical	practical	ADJ
ajst-15583	33	35	problems	problem	NOUN
ajst-15583	33	36	,	,	PUNCT
ajst-15583	33	37	a	a	DET
ajst-15583	33	38	new	new	ADJ
ajst-15583	33	39	bayesian	bayesian	NOUN
ajst-15583	33	40	network	network	NOUN
ajst-15583	33	41	structure	structure	NOUN
ajst-15583	33	42	learning	learn	VERB
ajst-15583	33	43	algorithm	algorithm	PROPN
ajst-15583	33	44	en	en	PROPN
ajst-15583	33	45	-	-	PROPN
ajst-15583	33	46	esl	esl	PROPN
ajst-15583	33	47	-	-	PUNCT
ajst-15583	33	48	ga	ga	PROPN
ajst-15583	33	49	is	be	AUX
ajst-15583	33	50	proposed	propose	VERB
ajst-15583	33	51	by	by	ADP
ajst-15583	33	52	introducing	introduce	VERB
ajst-15583	33	53	parallel	parallel	ADJ
ajst-15583	33	54	integration	integration	NOUN
ajst-15583	33	55	idea	idea	NOUN
ajst-15583	33	56	into	into	ADP
ajst-15583	33	57	esl	esl	PROPN
ajst-15583	33	58	-	-	PUNCT
ajst-15583	33	59	ga	ga	PROPN
ajst-15583	33	60	algorithm	algorithm	NOUN
ajst-15583	33	61	.	.	PUNCT
ajst-15583	34	1	(	(	PUNCT
ajst-15583	34	2	4	4	X
ajst-15583	34	3	)	)	PUNCT
ajst-15583	34	4	the	the	DET
ajst-15583	34	5	en	en	PROPN
ajst-15583	34	6	-	-	PUNCT
ajst-15583	34	7	esl	esl	ADJ
ajst-15583	34	8	-	-	PUNCT
ajst-15583	34	9	ga	ga	NOUN
ajst-15583	34	10	algorithm	algorithm	NOUN
ajst-15583	34	11	performs	perform	VERB
ajst-15583	34	12	one	one	NUM
ajst-15583	34	13	ensemble	ensemble	ADJ
ajst-15583	34	14	learning	learning	NOUN
ajst-15583	34	15	on	on	ADP
ajst-15583	34	16	the	the	DET
ajst-15583	34	17	bayesian	bayesian	NOUN
ajst-15583	34	18	network	network	NOUN
ajst-15583	34	19	structure	structure	NOUN
ajst-15583	34	20	learned	learn	VERB
ajst-15583	34	21	multiple	multiple	ADJ
ajst-15583	34	22	times	time	NOUN
ajst-15583	34	23	based	base	VERB
ajst-15583	34	24	on	on	ADP
ajst-15583	34	25	the	the	DET
ajst-15583	34	26	esl	esl	PROPN
ajst-15583	34	27	-	-	PUNCT
ajst-15583	34	28	ga	ga	NOUN
ajst-15583	34	29	algorithm	algorithm	NOUN
ajst-15583	34	30	,	,	PUNCT
ajst-15583	34	31	and	and	CCONJ
ajst-15583	34	32	the	the	DET
ajst-15583	34	33	training	training	NOUN
ajst-15583	34	34	number	number	NOUN
ajst-15583	34	35	of	of	ADP
ajst-15583	34	36	the	the	DET
ajst-15583	34	37	base	base	NOUN
ajst-15583	34	38	learner	learner	NOUN
ajst-15583	34	39	is	be	AUX
ajst-15583	34	40	usually	usually	ADV
ajst-15583	34	41	set	set	VERB
ajst-15583	34	42	to	to	ADP
ajst-15583	34	43	20	20	NUM
ajst-15583	34	44	.	.	PUNCT
ajst-15583	35	1	firstly	firstly	ADV
ajst-15583	35	2	,	,	PUNCT
ajst-15583	35	3	20	20	NUM
ajst-15583	35	4	sample	sample	NOUN
ajst-15583	35	5	datasets	dataset	NOUN
ajst-15583	35	6	are	be	AUX
ajst-15583	35	7	randomly	randomly	ADV
ajst-15583	35	8	sampled	sample	VERB
ajst-15583	35	9	from	from	ADP
ajst-15583	35	10	the	the	DET
ajst-15583	35	11	original	original	ADJ
ajst-15583	35	12	datasets	dataset	NOUN
ajst-15583	35	13	.	.	PUNCT
ajst-15583	36	1	esl	esl	PROPN
ajst-15583	36	2	-	-	PUNCT
ajst-15583	36	3	ga	ga	PROPN
ajst-15583	36	4	algorithm	algorithm	NOUN
ajst-15583	36	5	is	be	AUX
ajst-15583	36	6	used	use	VERB
ajst-15583	36	7	to	to	PART
ajst-15583	36	8	learn	learn	VERB
ajst-15583	36	9	the	the	DET
ajst-15583	36	10	structure	structure	NOUN
ajst-15583	36	11	of	of	ADP
ajst-15583	36	12	bayesian	bayesian	NOUN
ajst-15583	36	13	networks	network	NOUN
ajst-15583	36	14	on	on	ADP
ajst-15583	36	15	each	each	DET
ajst-15583	36	16	sample	sample	NOUN
ajst-15583	36	17	dataset	dataset	NOUN
ajst-15583	36	18	,	,	PUNCT
ajst-15583	36	19	and	and	CCONJ
ajst-15583	36	20	the	the	DET
ajst-15583	36	21	adjacency	adjacency	NOUN
ajst-15583	36	22	matrix	matrix	NOUN
ajst-15583	36	23	and	and	CCONJ
ajst-15583	36	24	bdeu	bdeu	NOUN
ajst-15583	36	25	score	score	NOUN
ajst-15583	36	26	of	of	ADP
ajst-15583	36	27	each	each	DET
ajst-15583	36	28	learned	learn	VERB
ajst-15583	36	29	bayesian	bayesian	NOUN
ajst-15583	36	30	network	network	NOUN
ajst-15583	36	31	are	be	AUX
ajst-15583	36	32	recorded	record	VERB
ajst-15583	36	33	.	.	PUNCT
ajst-15583	37	1	then	then	ADV
ajst-15583	37	2	,	,	PUNCT
ajst-15583	37	3	the	the	DET
ajst-15583	37	4	maximum	maximum	ADJ
ajst-15583	37	5	and	and	CCONJ
ajst-15583	37	6	minimum	minimum	ADJ
ajst-15583	37	7	bdeu	bdeu	NOUN
ajst-15583	37	8	scores	score	NOUN
ajst-15583	37	9	of	of	ADP
ajst-15583	37	10	each	each	DET
ajst-15583	37	11	network	network	NOUN
ajst-15583	37	12	are	be	AUX
ajst-15583	37	13	normalized	normalize	VERB
ajst-15583	37	14	as	as	ADP
ajst-15583	37	15	the	the	DET
ajst-15583	37	16	weights	weight	NOUN
ajst-15583	37	17	of	of	ADP
ajst-15583	37	18	the	the	DET
ajst-15583	37	19	corresponding	corresponding	ADJ
ajst-15583	37	20	adjacency	adjacency	NOUN
ajst-15583	37	21	matrix	matrix	NOUN
ajst-15583	37	22	,	,	PUNCT
ajst-15583	37	23	and	and	CCONJ
ajst-15583	37	24	the	the	DET
ajst-15583	37	25	weighted	weighted	ADJ
ajst-15583	37	26	average	average	NOUN
ajst-15583	37	27	of	of	ADP
ajst-15583	37	28	all	all	DET
ajst-15583	37	29	adjacency	adjacency	NOUN
ajst-15583	37	30	matrices	matrix	NOUN
ajst-15583	37	31	is	be	AUX
ajst-15583	37	32	performed	perform	VERB
ajst-15583	37	33	to	to	PART
ajst-15583	37	34	obtain	obtain	VERB
ajst-15583	37	35	a	a	DET
ajst-15583	37	36	transition	transition	NOUN
ajst-15583	37	37	matrix	matrix	NOUN
ajst-15583	37	38	representing	represent	VERB
ajst-15583	37	39	the	the	DET
ajst-15583	37	40	strength	strength	NOUN
ajst-15583	37	41	of	of	ADP
ajst-15583	37	42	causality	causality	NOUN
ajst-15583	37	43	between	between	ADP
ajst-15583	37	44	variables[9	variables[9	NOUN
ajst-15583	37	45	]	]	PUNCT
ajst-15583	37	46	.	.	PUNCT
ajst-15583	38	1	the	the	DET
ajst-15583	38	2	edge	edge	NOUN
ajst-15583	38	3	with	with	ADP
ajst-15583	38	4	weak	weak	ADJ
ajst-15583	38	5	causality	causality	NOUN
ajst-15583	38	6	in	in	ADP
ajst-15583	38	7	the	the	DET
ajst-15583	38	8	transition	transition	NOUN
ajst-15583	38	9	matrix	matrix	NOUN
ajst-15583	38	10	is	be	AUX
ajst-15583	38	11	filtered	filter	VERB
ajst-15583	38	12	out	out	ADP
ajst-15583	38	13	according	accord	VERB
ajst-15583	38	14	to	to	ADP
ajst-15583	38	15	the	the	DET
ajst-15583	38	16	pre	pre	ADJ
ajst-15583	38	17	-	-	ADJ
ajst-15583	38	18	set	set	ADJ
ajst-15583	38	19	rush	rush	NOUN
ajst-15583	38	20	value	value	NOUN
ajst-15583	38	21	,	,	PUNCT
ajst-15583	38	22	so	so	SCONJ
ajst-15583	38	23	as	as	SCONJ
ajst-15583	38	24	to	to	PART
ajst-15583	38	25	obtain	obtain	VERB
ajst-15583	38	26	a	a	DET
ajst-15583	38	27	fusion	fusion	NOUN
ajst-15583	38	28	matrix	matrix	NOUN
ajst-15583	38	29	.	.	PUNCT
ajst-15583	39	1	finally	finally	ADV
ajst-15583	39	2	,	,	PUNCT
ajst-15583	39	3	the	the	DET
ajst-15583	39	4	fusion	fusion	NOUN
ajst-15583	39	5	matrix	matrix	NOUN
ajst-15583	39	6	is	be	AUX
ajst-15583	39	7	delooped	deloope	VERB
ajst-15583	39	8	and	and	CCONJ
ajst-15583	39	9	the	the	DET
ajst-15583	39	10	maximum	maximum	ADJ
ajst-15583	39	11	number	number	NOUN
ajst-15583	39	12	of	of	ADP
ajst-15583	39	13	parent	parent	NOUN
ajst-15583	39	14	nodes	node	NOUN
ajst-15583	39	15	is	be	AUX
ajst-15583	39	16	restricted	restrict	VERB
ajst-15583	39	17	to	to	PART
ajst-15583	39	18	obtain	obtain	VERB
ajst-15583	39	19	the	the	DET
ajst-15583	39	20	integrated	integrate	VERB
ajst-15583	39	21	bayesian	bayesian	NOUN
ajst-15583	39	22	network	network	NOUN
ajst-15583	39	23	structure	structure	NOUN
ajst-15583	39	24	.	.	PUNCT
ajst-15583	40	1	3	3	X
ajst-15583	40	2	.	.	X
ajst-15583	40	3	methodology	methodology	NOUN
ajst-15583	40	4	3.1	3.1	NUM
ajst-15583	40	5	.	.	PUNCT
ajst-15583	40	6	evaluation	evaluation	NOUN
ajst-15583	40	7	index	index	NOUN
ajst-15583	40	8	to	to	PART
ajst-15583	40	9	evaluate	evaluate	VERB
ajst-15583	40	10	the	the	DET
ajst-15583	40	11	performance	performance	NOUN
ajst-15583	40	12	of	of	ADP
ajst-15583	40	13	a	a	DET
ajst-15583	40	14	bayesian	bayesian	NOUN
ajst-15583	40	15	network	network	NOUN
ajst-15583	40	16	structure	structure	NOUN
ajst-15583	40	17	learning	learning	NOUN
ajst-15583	40	18	algorithm	algorithm	NOUN
ajst-15583	40	19	,	,	PUNCT
ajst-15583	40	20	fi	fi	NOUN
ajst-15583	40	21	,	,	PUNCT
ajst-15583	40	22	sensitivity	sensitivity	NOUN
ajst-15583	40	23	and	and	CCONJ
ajst-15583	40	24	specificity	specificity	NOUN
ajst-15583	40	25	were	be	AUX
ajst-15583	40	26	used	use	VERB
ajst-15583	40	27	to	to	PART
ajst-15583	40	28	evaluate	evaluate	VERB
ajst-15583	40	29	the	the	DET
ajst-15583	40	30	learned	learn	VERB
ajst-15583	40	31	bayesian	bayesian	NOUN
ajst-15583	40	32	network	network	NOUN
ajst-15583	40	33	structure	structure	NOUN
ajst-15583	40	34	.	.	PUNCT
ajst-15583	41	1	the	the	DET
ajst-15583	41	2	relevant	relevant	ADJ
ajst-15583	41	3	formulas	formula	NOUN
ajst-15583	41	4	are	be	AUX
ajst-15583	41	5	shown	show	VERB
ajst-15583	41	6	in	in	ADP
ajst-15583	41	7	formulas	formula	NOUN
ajst-15583	41	8	(	(	PUNCT
ajst-15583	41	9	5～7	5～7	PROPN
ajst-15583	41	10	)	)	PUNCT
ajst-15583	41	11	.	.	PUNCT
ajst-15583	42	1	where	where	SCONJ
ajst-15583	42	2	,	,	PUNCT
ajst-15583	42	3	f	f	PROPN
ajst-15583	42	4	balances	balance	VERB
ajst-15583	42	5	precision	precision	NOUN
ajst-15583	42	6	and	and	CCONJ
ajst-15583	42	7	recall	recall	NOUN
ajst-15583	42	8	;	;	PUNCT
ajst-15583	42	9	sensitivity	sensitivity	NOUN
ajst-15583	42	10	(	(	PUNCT
ajst-15583	42	11	recall	recall	NOUN
ajst-15583	42	12	rate	rate	NOUN
ajst-15583	42	13	)	)	PUNCT
ajst-15583	42	14	,	,	PUNCT
ajst-15583	42	15	that	that	ADV
ajst-15583	42	16	is	is	ADV
ajst-15583	42	17	,	,	PUNCT
ajst-15583	42	18	the	the	DET
ajst-15583	42	19	true	true	ADJ
ajst-15583	42	20	positive	positive	ADJ
ajst-15583	42	21	rate	rate	NOUN
ajst-15583	42	22	,	,	PUNCT
ajst-15583	42	23	represents	represent	VERB
ajst-15583	42	24	the	the	DET
ajst-15583	42	25	ratio	ratio	NOUN
ajst-15583	42	26	of	of	ADP
ajst-15583	42	27	the	the	DET
ajst-15583	42	28	number	number	NOUN
ajst-15583	42	29	of	of	ADP
ajst-15583	42	30	correct	correct	ADJ
ajst-15583	42	31	edges	edge	NOUN
ajst-15583	42	32	learned	learn	VERB
ajst-15583	42	33	in	in	ADP
ajst-15583	42	34	the	the	DET
ajst-15583	42	35	current	current	ADJ
ajst-15583	42	36	network	network	NOUN
ajst-15583	42	37	to	to	ADP
ajst-15583	42	38	the	the	DET
ajst-15583	42	39	number	number	NOUN
ajst-15583	42	40	of	of	ADP
ajst-15583	42	41	edges	edge	NOUN
ajst-15583	42	42	present	present	ADJ
ajst-15583	42	43	in	in	ADP
ajst-15583	42	44	the	the	DET
ajst-15583	42	45	general	general	ADJ
ajst-15583	42	46	network[10	network[10	NOUN
ajst-15583	42	47	-	-	SYM
ajst-15583	42	48	11	11	NUM
ajst-15583	42	49	]	]	PUNCT
ajst-15583	42	50	;	;	PUNCT
ajst-15583	42	51	specificity	specificity	NOUN
ajst-15583	42	52	represents	represent	VERB
ajst-15583	42	53	the	the	DET
ajst-15583	42	54	ratio	ratio	NOUN
ajst-15583	42	55	of	of	ADP
ajst-15583	42	56	the	the	DET
ajst-15583	42	57	number	number	NOUN
ajst-15583	42	58	of	of	ADP
ajst-15583	42	59	edges	edge	NOUN
ajst-15583	42	60	that	that	PRON
ajst-15583	42	61	do	do	AUX
ajst-15583	42	62	not	not	PART
ajst-15583	42	63	exist	exist	VERB
ajst-15583	42	64	in	in	ADP
ajst-15583	42	65	both	both	CCONJ
ajst-15583	42	66	the	the	DET
ajst-15583	42	67	current	current	ADJ
ajst-15583	42	68	network	network	NOUN
ajst-15583	42	69	and	and	CCONJ
ajst-15583	42	70	the	the	DET
ajst-15583	42	71	end	end	NOUN
ajst-15583	42	72	of	of	ADP
ajst-15583	42	73	the	the	DET
ajst-15583	42	74	universal	universal	ADJ
ajst-15583	42	75	network	network	NOUN
ajst-15583	42	76	to	to	ADP
ajst-15583	42	77	the	the	DET
ajst-15583	42	78	number	number	NOUN
ajst-15583	42	79	of	of	ADP
ajst-15583	42	80	edges	edge	NOUN
ajst-15583	42	81	that	that	PRON
ajst-15583	42	82	do	do	AUX
ajst-15583	42	83	not	not	PART
ajst-15583	42	84	exist	exist	VERB
ajst-15583	42	85	in	in	ADP
ajst-15583	42	86	the	the	DET
ajst-15583	42	87	general	general	ADJ
ajst-15583	42	88	network	network	NOUN
ajst-15583	42	89	,	,	PUNCT
ajst-15583	42	90	that	that	ADV
ajst-15583	42	91	is	is	ADV
ajst-15583	42	92	,	,	PUNCT
ajst-15583	42	93	the	the	DET
ajst-15583	42	94	true	true	ADJ
ajst-15583	42	95	negative	negative	ADJ
ajst-15583	42	96	rate	rate	NOUN
ajst-15583	42	97	.	.	PUNCT
ajst-15583	43	1	the	the	PRON
ajst-15583	43	2	closer	close	ADJ
ajst-15583	43	3	these	these	DET
ajst-15583	43	4	three	three	NUM
ajst-15583	43	5	indicators	indicator	NOUN
ajst-15583	43	6	are	be	AUX
ajst-15583	43	7	to	to	ADP
ajst-15583	43	8	1	1	NUM
ajst-15583	43	9	at	at	ADP
ajst-15583	43	10	the	the	DET
ajst-15583	43	11	same	same	ADJ
ajst-15583	43	12	time	time	NOUN
ajst-15583	43	13	,	,	PUNCT
ajst-15583	43	14	the	the	DET
ajst-15583	43	15	more	more	ADV
ajst-15583	43	16	accurate	accurate	ADJ
ajst-15583	43	17	the	the	DET
ajst-15583	43	18	final	final	ADJ
ajst-15583	43	19	structure	structure	NOUN
ajst-15583	43	20	of	of	ADP
ajst-15583	43	21	the	the	DET
ajst-15583	43	22	bayesian	bayesian	NOUN
ajst-15583	43	23	network	network	NOUN
ajst-15583	43	24	we	we	PRON
ajst-15583	43	25	learn	learn	VERB
ajst-15583	43	26	.	.	PUNCT
ajst-15583	44	1	(	(	PUNCT
ajst-15583	44	2	5	5	NUM
ajst-15583	44	3	)	)	PUNCT
ajst-15583	44	4	(	(	PUNCT
ajst-15583	44	5	6	6	NUM
ajst-15583	44	6	)	)	PUNCT
ajst-15583	44	7	(	(	PUNCT
ajst-15583	44	8	7	7	NUM
ajst-15583	44	9	)	)	PUNCT
ajst-15583	44	10	(	(	PUNCT
ajst-15583	44	11	8)	8)	NUM
ajst-15583	44	12	3.2	3.2	NUM
ajst-15583	44	13	.	.	PUNCT
ajst-15583	45	1	experiment	experiment	NOUN
ajst-15583	45	2	and	and	CCONJ
ajst-15583	45	3	result	result	VERB
ajst-15583	45	4	in	in	ADP
ajst-15583	45	5	order	order	NOUN
ajst-15583	45	6	to	to	PART
ajst-15583	45	7	explore	explore	VERB
ajst-15583	45	8	the	the	DET
ajst-15583	45	9	bayesian	bayesian	NOUN
ajst-15583	45	10	network	network	NOUN
ajst-15583	45	11	structure	structure	NOUN
ajst-15583	45	12	learning	learn	VERB
ajst-15583	45	13	performance	performance	NOUN
ajst-15583	45	14	of	of	ADP
ajst-15583	45	15	en	en	NOUN
ajst-15583	45	16	-	-	PUNCT
ajst-15583	45	17	esl	esl	ADJ
ajst-15583	45	18	-	-	PUNCT
ajst-15583	45	19	ga	ga	NOUN
ajst-15583	45	20	algorithm	algorithm	NOUN
ajst-15583	45	21	,	,	PUNCT
ajst-15583	45	22	k2	k2	PROPN
ajst-15583	45	23	and	and	CCONJ
ajst-15583	45	24	max	max	PROPN
ajst-15583	45	25	are	be	AUX
ajst-15583	45	26	used	use	VERB
ajst-15583	45	27	134	134	NUM
ajst-15583	45	28	the	the	DET
ajst-15583	45	29	hybrid	hybrid	ADJ
ajst-15583	45	30	structure	structure	NOUN
ajst-15583	45	31	learner	learner	NOUN
ajst-15583	45	32	using	use	VERB
ajst-15583	45	33	genetic	genetic	ADJ
ajst-15583	45	34	algorithms	algorithm	NOUN
ajst-15583	45	35	,	,	PUNCT
ajst-15583	45	36	maximum	maximum	ADJ
ajst-15583	45	37	weight	weight	NOUN
ajst-15583	45	38	spanning	span	VERB
ajst-15583	45	39	tree	tree	NOUN
ajst-15583	45	40	(	(	PUNCT
ajst-15583	45	41	mwst	mwst	NOUN
ajst-15583	45	42	)	)	PUNCT
ajst-15583	45	43	,	,	PUNCT
ajst-15583	45	44	the	the	DET
ajst-15583	45	45	hybrid	hybrid	ADJ
ajst-15583	45	46	structure	structure	NOUN
ajst-15583	45	47	learner	learner	NOUN
ajst-15583	45	48	using	use	VERB
ajst-15583	45	49	genetic	genetic	ADJ
ajst-15583	45	50	algorithms	algorithm	NOUN
ajst-15583	45	51	,	,	PUNCT
ajst-15583	45	52	the	the	DET
ajst-15583	45	53	diversityguided	diversityguide	VERB
ajst-15583	45	54	site	site	NOUN
ajst-15583	45	55	-	-	PUNCT
ajst-15583	45	56	specific	specific	ADJ
ajst-15583	45	57	rate	rate	NOUN
ajst-15583	45	58	genetic	genetic	ADJ
ajst-15583	45	59	algorithm	algorithm	NOUN
ajst-15583	45	60	,	,	PUNCT
ajst-15583	45	61	hsl	hsl	PROPN
ajst-15583	45	62	-	-	PUNCT
ajst-15583	45	63	ga	ga	PROPN
ajst-15583	45	64	,	,	PUNCT
ajst-15583	45	65	the	the	DET
ajst-15583	45	66	diversity	diversity	NOUN
ajst-15583	45	67	-	-	PUNCT
ajst-15583	45	68	guided	guide	VERB
ajst-15583	45	69	site	site	NOUN
ajst-15583	45	70	-	-	PUNCT
ajst-15583	45	71	specific	specific	ADJ
ajst-15583	45	72	rate	rate	NOUN
ajst-15583	45	73	genetic	genetic	ADJ
ajst-15583	45	74	algorithm	algorithm	NOUN
ajst-15583	45	75	,	,	PUNCT
ajst-15583	45	76	digsir	digsir	PROPN
ajst-15583	45	77	-	-	PUNCT
ajst-15583	45	78	ga	ga	NOUN
ajst-15583	45	79	)	)	PUNCT
ajst-15583	46	1	[	[	X
ajst-15583	46	2	12	12	NUM
ajst-15583	46	3	]	]	X
ajst-15583	46	4	digsir	digsir	PROPN
ajst-15583	46	5	-	-	PUNCT
ajst-15583	46	6	ga	ga	PROPN
ajst-15583	46	7	(	(	PUNCT
ajst-15583	46	8	the	the	DET
ajst-15583	46	9	digsir	digsir	PROPN
ajst-15583	46	10	-	-	PUNCT
ajst-15583	46	11	ga	ga	PROPN
ajst-15583	46	12	using	use	VERB
ajst-15583	46	13	the	the	DET
ajst-15583	46	14	parent	parent	NOUN
ajst-15583	46	15	set	set	VERB
ajst-15583	46	16	crossover	crossover	NOUN
ajst-15583	46	17	operator	operator	NOUN
ajst-15583	46	18	,	,	PUNCT
ajst-15583	46	19	digsir	digsir	PROPN
ajst-15583	46	20	-	-	PUNCT
ajst-15583	46	21	ga	ga	PROPN
ajst-15583	46	22	-	-	PUNCT
ajst-15583	46	23	psx	psx	NOUN
ajst-15583	46	24	)	)	PUNCT
ajst-15583	46	25	and	and	CCONJ
ajst-15583	46	26	eslga[13	eslga[13	NUM
ajst-15583	46	27	]	]	PUNCT
ajst-15583	46	28	are	be	AUX
ajst-15583	46	29	used	use	VERB
ajst-15583	46	30	as	as	ADP
ajst-15583	46	31	comparison	comparison	NOUN
ajst-15583	46	32	algorithms	algorithm	NOUN
ajst-15583	46	33	.	.	PUNCT
ajst-15583	47	1	taking	take	VERB
ajst-15583	47	2	into	into	ADP
ajst-15583	47	3	account	account	NOUN
ajst-15583	47	4	the	the	DET
ajst-15583	47	5	randomness	randomness	NOUN
ajst-15583	47	6	of	of	ADP
ajst-15583	47	7	the	the	DET
ajst-15583	47	8	data	datum	NOUN
ajst-15583	47	9	set	set	VERB
ajst-15583	47	10	as	as	ADV
ajst-15583	47	11	well	well	ADV
ajst-15583	47	12	as	as	ADP
ajst-15583	47	13	the	the	DET
ajst-15583	47	14	algorithms	algorithm	NOUN
ajst-15583	47	15	themselves	themselves	PRON
ajst-15583	47	16	,	,	PUNCT
ajst-15583	47	17	all	all	DET
ajst-15583	47	18	algorithms	algorithm	NOUN
ajst-15583	47	19	were	be	AUX
ajst-15583	47	20	run	run	VERB
ajst-15583	47	21	on	on	ADP
ajst-15583	47	22	20	20	NUM
ajst-15583	47	23	different	different	ADJ
ajst-15583	47	24	random	random	ADJ
ajst-15583	47	25	samples	sample	NOUN
ajst-15583	47	26	of	of	ADP
ajst-15583	47	27	the	the	DET
ajst-15583	47	28	same	same	ADJ
ajst-15583	47	29	size	size	NOUN
ajst-15583	47	30	,	,	PUNCT
ajst-15583	47	31	recording	record	VERB
ajst-15583	47	32	the	the	DET
ajst-15583	47	33	average	average	ADJ
ajst-15583	47	34	performance	performance	NOUN
ajst-15583	47	35	metrics	metric	NOUN
ajst-15583	47	36	of	of	ADP
ajst-15583	47	37	each	each	DET
ajst-15583	47	38	algorithm	algorithm	NOUN
ajst-15583	47	39	.	.	PUNCT
ajst-15583	48	1	in	in	ADP
ajst-15583	48	2	addition	addition	NOUN
ajst-15583	48	3	,	,	PUNCT
ajst-15583	48	4	since	since	SCONJ
ajst-15583	48	5	both	both	PRON
ajst-15583	48	6	k2	k2	ADJ
ajst-15583	48	7	algorithm	algorithm	NOUN
ajst-15583	48	8	and	and	CCONJ
ajst-15583	48	9	mwst	mwst	ADJ
ajst-15583	48	10	algorithm	algorithm	NOUN
ajst-15583	48	11	are	be	AUX
ajst-15583	48	12	deterministic	deterministic	ADJ
ajst-15583	48	13	algorithms	algorithm	NOUN
ajst-15583	48	14	,	,	PUNCT
ajst-15583	48	15	in	in	ADP
ajst-15583	48	16	order	order	NOUN
ajst-15583	48	17	to	to	PART
ajst-15583	48	18	ensure	ensure	VERB
ajst-15583	48	19	fairness	fairness	NOUN
ajst-15583	48	20	,	,	PUNCT
ajst-15583	48	21	the	the	DET
ajst-15583	48	22	node	node	ADJ
ajst-15583	48	23	order	order	NOUN
ajst-15583	48	24	is	be	AUX
ajst-15583	48	25	randomly	randomly	ADV
ajst-15583	48	26	determined	determined	ADJ
ajst-15583	48	27	as	as	ADP
ajst-15583	48	28	the	the	DET
ajst-15583	48	29	input	input	NOUN
ajst-15583	48	30	of	of	ADP
ajst-15583	48	31	k2	k2	ADJ
ajst-15583	48	32	algorithm	algorithm	NOUN
ajst-15583	48	33	in	in	ADP
ajst-15583	48	34	each	each	DET
ajst-15583	48	35	experiment	experiment	NOUN
ajst-15583	48	36	without	without	ADP
ajst-15583	48	37	prior	prior	ADJ
ajst-15583	48	38	knowledge	knowledge	NOUN
ajst-15583	48	39	.	.	PUNCT
ajst-15583	49	1	similarly	similarly	ADV
ajst-15583	49	2	,	,	PUNCT
ajst-15583	49	3	because	because	SCONJ
ajst-15583	49	4	the	the	DET
ajst-15583	49	5	mwst	mwst	NOUN
ajst-15583	49	6	algorithm	algorithm	NOUN
ajst-15583	49	7	needs	need	VERB
ajst-15583	49	8	to	to	PART
ajst-15583	49	9	give	give	VERB
ajst-15583	49	10	the	the	DET
ajst-15583	49	11	root	root	NOUN
ajst-15583	49	12	node	node	NOUN
ajst-15583	49	13	in	in	ADP
ajst-15583	49	14	advance	advance	NOUN
ajst-15583	49	15	,	,	PUNCT
ajst-15583	49	16	it	it	PRON
ajst-15583	49	17	uses	use	VERB
ajst-15583	49	18	the	the	DET
ajst-15583	49	19	randomly	randomly	ADV
ajst-15583	49	20	generated	generate	VERB
ajst-15583	49	21	root	root	NOUN
ajst-15583	49	22	node	node	NOUN
ajst-15583	49	23	to	to	PART
ajst-15583	49	24	learn	learn	VERB
ajst-15583	49	25	the	the	DET
ajst-15583	49	26	structure	structure	NOUN
ajst-15583	49	27	20	20	NUM
ajst-15583	49	28	times	time	NOUN
ajst-15583	49	29	.	.	PUNCT
ajst-15583	50	1	the	the	DET
ajst-15583	50	2	method	method	NOUN
ajst-15583	50	3	parameter	parameter	NOUN
ajst-15583	50	4	settings	setting	NOUN
ajst-15583	50	5	of	of	ADP
ajst-15583	50	6	other	other	ADJ
ajst-15583	50	7	genetic	genetic	ADJ
ajst-15583	50	8	algorithms	algorithm	NOUN
ajst-15583	50	9	on	on	ADP
ajst-15583	50	10	genetic	genetic	ADJ
ajst-15583	50	11	databases	database	NOUN
ajst-15583	50	12	are	be	AUX
ajst-15583	50	13	consistent	consistent	ADJ
ajst-15583	50	14	.	.	PUNCT
ajst-15583	51	1	figure	figure	NOUN
ajst-15583	51	2	2	2	NUM
ajst-15583	51	3	.	.	PUNCT
ajst-15583	51	4	variation	variation	NOUN
ajst-15583	51	5	curve	curve	NOUN
ajst-15583	51	6	of	of	ADP
ajst-15583	51	7	average	average	ADJ
ajst-15583	51	8	bdeu	bdeu	NOUN
ajst-15583	51	9	score	score	NOUN
ajst-15583	51	10	of	of	ADP
ajst-15583	51	11	bayesian	bayesian	NOUN
ajst-15583	51	12	network	network	NOUN
ajst-15583	51	13	structures	structure	NOUN
ajst-15583	51	14	under	under	ADP
ajst-15583	51	15	different	different	ADJ
ajst-15583	51	16	data	data	NOUN
ajst-15583	51	17	sets	set	NOUN
ajst-15583	51	18	although	although	SCONJ
ajst-15583	51	19	en	en	NOUN
ajst-15583	51	20	-	-	PUNCT
ajst-15583	51	21	esl	esl	ADJ
ajst-15583	51	22	-	-	PUNCT
ajst-15583	51	23	ga	ga	NOUN
ajst-15583	51	24	algorithm	algorithm	NOUN
ajst-15583	51	25	solves	solve	VERB
ajst-15583	51	26	the	the	DET
ajst-15583	51	27	problem	problem	NOUN
ajst-15583	51	28	of	of	ADP
ajst-15583	51	29	low	low	ADJ
ajst-15583	51	30	accuracy	accuracy	NOUN
ajst-15583	51	31	and	and	CCONJ
ajst-15583	51	32	reliability	reliability	NOUN
ajst-15583	51	33	in	in	ADP
ajst-15583	51	34	learning	learn	VERB
ajst-15583	51	35	bayesian	bayesian	NOUN
ajst-15583	51	36	network	network	NOUN
ajst-15583	51	37	structure	structure	NOUN
ajst-15583	51	38	with	with	ADP
ajst-15583	51	39	small	small	ADJ
ajst-15583	51	40	training	training	NOUN
ajst-15583	51	41	data	datum	NOUN
ajst-15583	51	42	set	set	VERB
ajst-15583	51	43	,	,	PUNCT
ajst-15583	51	44	its	its	PRON
ajst-15583	51	45	time	time	NOUN
ajst-15583	51	46	complexity	complexity	NOUN
ajst-15583	51	47	also	also	ADV
ajst-15583	51	48	increases	increase	VERB
ajst-15583	51	49	greatly	greatly	ADV
ajst-15583	51	50	with	with	ADP
ajst-15583	51	51	the	the	DET
ajst-15583	51	52	increase	increase	NOUN
ajst-15583	51	53	of	of	ADP
ajst-15583	51	54	network	network	NOUN
ajst-15583	51	55	scale	scale	NOUN
ajst-15583	51	56	,	,	PUNCT
ajst-15583	51	57	which	which	PRON
ajst-15583	51	58	is	be	AUX
ajst-15583	51	59	mainly	mainly	ADV
ajst-15583	51	60	spent	spend	VERB
ajst-15583	51	61	on	on	ADP
ajst-15583	51	62	calculating	calculate	VERB
ajst-15583	51	63	multiple	multiple	ADJ
ajst-15583	51	64	bdeu	bdeu	NOUN
ajst-15583	51	65	scores[14	scores[14	PROPN
ajst-15583	51	66	]	]	PUNCT
ajst-15583	51	67	.	.	PUNCT
ajst-15583	52	1	therefore	therefore	ADV
ajst-15583	52	2	,	,	PUNCT
ajst-15583	52	3	this	this	DET
ajst-15583	52	4	algorithm	algorithm	NOUN
ajst-15583	52	5	is	be	AUX
ajst-15583	52	6	only	only	ADV
ajst-15583	52	7	suitable	suitable	ADJ
ajst-15583	52	8	for	for	ADP
ajst-15583	52	9	learning	learn	VERB
ajst-15583	52	10	bayesian	bayesian	NOUN
ajst-15583	52	11	network	network	NOUN
ajst-15583	52	12	structure	structure	NOUN
ajst-15583	52	13	in	in	ADP
ajst-15583	52	14	small	small	ADJ
ajst-15583	52	15	and	and	CCONJ
ajst-15583	52	16	medium	medium	ADJ
ajst-15583	52	17	-	-	PUNCT
ajst-15583	52	18	sized	sized	ADJ
ajst-15583	52	19	networks	network	NOUN
ajst-15583	52	20	with	with	ADP
ajst-15583	52	21	limited	limited	ADJ
ajst-15583	52	22	hardware	hardware	NOUN
ajst-15583	52	23	conditions	condition	NOUN
ajst-15583	52	24	.	.	PUNCT
ajst-15583	53	1	figure	figure	VERB
ajst-15583	53	2	3	3	NUM
ajst-15583	53	3	.	.	PUNCT
ajst-15583	53	4	genome	genome	NOUN
ajst-15583	53	5	data	datum	NOUN
ajst-15583	53	6	en	en	PROPN
ajst-15583	53	7	-	-	PUNCT
ajst-15583	53	8	esl	esl	ADJ
ajst-15583	53	9	-	-	PUNCT
ajst-15583	53	10	ga	ga	NOUN
ajst-15583	53	11	algorithm	algorithm	NOUN
ajst-15583	53	12	and	and	CCONJ
ajst-15583	53	13	maen	maen	PROPN
ajst-15583	53	14	-	-	PUNCT
ajst-15583	53	15	esl	esl	PROPN
ajst-15583	53	16	-	-	PUNCT
ajst-15583	53	17	ga	ga	PROPN
ajst-15583	53	18	algorithm	algorithm	NOUN
ajst-15583	53	19	performance	performance	NOUN
ajst-15583	53	20	variation	variation	NOUN
ajst-15583	53	21	diagram	diagram	NOUN
ajst-15583	53	22	as	as	SCONJ
ajst-15583	53	23	can	can	AUX
ajst-15583	53	24	be	be	AUX
ajst-15583	53	25	seen	see	VERB
ajst-15583	53	26	from	from	ADP
ajst-15583	53	27	the	the	DET
ajst-15583	53	28	experimental	experimental	ADJ
ajst-15583	53	29	results	result	NOUN
ajst-15583	53	30	,	,	PUNCT
ajst-15583	53	31	there	there	PRON
ajst-15583	53	32	are	be	VERB
ajst-15583	53	33	many	many	ADJ
ajst-15583	53	34	different	different	ADJ
ajst-15583	53	35	forms	form	NOUN
ajst-15583	53	36	of	of	ADP
ajst-15583	53	37	genomic	genomic	ADJ
ajst-15583	53	38	data	datum	NOUN
ajst-15583	53	39	algorithm	algorithm	NOUN
ajst-15583	53	40	analysis	analysis	NOUN
ajst-15583	53	41	model	model	NOUN
ajst-15583	53	42	under	under	ADP
ajst-15583	53	43	ai	ai	PRON
ajst-15583	53	44	technology	technology	NOUN
ajst-15583	53	45	,	,	PUNCT
ajst-15583	53	46	among	among	ADP
ajst-15583	53	47	which	which	PRON
ajst-15583	53	48	en	en	PROPN
ajst-15583	53	49	-	-	PUNCT
ajst-15583	53	50	esl	esl	ADJ
ajst-15583	53	51	-	-	PUNCT
ajst-15583	53	52	ga	ga	NOUN
ajst-15583	53	53	algorithm	algorithm	NOUN
ajst-15583	53	54	and	and	CCONJ
ajst-15583	53	55	traditional	traditional	ADJ
ajst-15583	53	56	bayesian	bayesian	NOUN
ajst-15583	53	57	algorithm	algorithm	NOUN
ajst-15583	53	58	are	be	AUX
ajst-15583	53	59	more	more	ADV
ajst-15583	53	60	popular	popular	ADJ
ajst-15583	53	61	.	.	PUNCT
ajst-15583	54	1	combined	combine	VERB
ajst-15583	54	2	with	with	ADP
ajst-15583	54	3	bayesian	bayesian	NOUN
ajst-15583	54	4	network	network	NOUN
ajst-15583	54	5	,	,	PUNCT
ajst-15583	54	6	it	it	PRON
ajst-15583	54	7	is	be	AUX
ajst-15583	54	8	a	a	DET
ajst-15583	54	9	probability	probability	NOUN
ajst-15583	54	10	graph	graph	NOUN
ajst-15583	54	11	model	model	NOUN
ajst-15583	54	12	,	,	PUNCT
ajst-15583	54	13	which	which	PRON
ajst-15583	54	14	uses	use	VERB
ajst-15583	54	15	bayesian	bayesian	NOUN
ajst-15583	54	16	probability	probability	NOUN
ajst-15583	54	17	to	to	PART
ajst-15583	54	18	represent	represent	VERB
ajst-15583	54	19	the	the	DET
ajst-15583	54	20	dependency	dependency	NOUN
ajst-15583	54	21	relationship	relationship	NOUN
ajst-15583	54	22	between	between	ADP
ajst-15583	54	23	variables	variable	NOUN
ajst-15583	54	24	.	.	PUNCT
ajst-15583	55	1	bayesian	bayesian	NOUN
ajst-15583	55	2	parameter	parameter	NOUN
ajst-15583	55	3	learning	learning	NOUN
ajst-15583	55	4	is	be	AUX
ajst-15583	55	5	usually	usually	ADV
ajst-15583	55	6	used	use	VERB
ajst-15583	55	7	to	to	PART
ajst-15583	55	8	estimate	estimate	VERB
ajst-15583	55	9	the	the	DET
ajst-15583	55	10	parameters	parameter	NOUN
ajst-15583	55	11	of	of	ADP
ajst-15583	55	12	the	the	DET
ajst-15583	55	13	network[15	network[15	NOUN
ajst-15583	55	14	]	]	PUNCT
ajst-15583	55	15	.	.	PUNCT
ajst-15583	56	1	esl	esl	PROPN
ajst-15583	56	2	-	-	PUNCT
ajst-15583	56	3	ga	ga	PROPN
ajst-15583	56	4	is	be	AUX
ajst-15583	56	5	more	more	ADV
ajst-15583	56	6	focused	focused	ADJ
ajst-15583	56	7	on	on	ADP
ajst-15583	56	8	finding	find	VERB
ajst-15583	56	9	the	the	DET
ajst-15583	56	10	best	good	ADJ
ajst-15583	56	11	network	network	NOUN
ajst-15583	56	12	structure	structure	NOUN
ajst-15583	56	13	through	through	ADP
ajst-15583	56	14	search	search	NOUN
ajst-15583	56	15	algorithms	algorithm	NOUN
ajst-15583	56	16	.	.	PUNCT
ajst-15583	57	1	and	and	CCONJ
ajst-15583	57	2	bayesian	bayesian	NOUN
ajst-15583	57	3	networks	network	NOUN
ajst-15583	57	4	usually	usually	ADV
ajst-15583	57	5	require	require	VERB
ajst-15583	57	6	prior	prior	ADJ
ajst-15583	57	7	information	information	NOUN
ajst-15583	57	8	that	that	PRON
ajst-15583	57	9	explicitly	explicitly	ADV
ajst-15583	57	10	specifies	specify	VERB
ajst-15583	57	11	the	the	DET
ajst-15583	57	12	probability	probability	NOUN
ajst-15583	57	13	distribution	distribution	NOUN
ajst-15583	57	14	,	,	PUNCT
ajst-15583	57	15	which	which	PRON
ajst-15583	57	16	may	may	AUX
ajst-15583	57	17	require	require	VERB
ajst-15583	57	18	input	input	NOUN
ajst-15583	57	19	of	of	ADP
ajst-15583	57	20	domain	domain	NOUN
ajst-15583	57	21	knowledge	knowledge	NOUN
ajst-15583	57	22	.	.	PUNCT
ajst-15583	58	1	esl	esl	PROPN
ajst-15583	58	2	-	-	PUNCT
ajst-15583	58	3	ga	ga	PROPN
ajst-15583	58	4	does	do	AUX
ajst-15583	58	5	not	not	PART
ajst-15583	58	6	necessarily	necessarily	ADV
ajst-15583	58	7	need	need	VERB
ajst-15583	58	8	this	this	DET
ajst-15583	58	9	prior	prior	ADJ
ajst-15583	58	10	information	information	NOUN
ajst-15583	58	11	,	,	PUNCT
ajst-15583	58	12	it	it	PRON
ajst-15583	58	13	can	can	AUX
ajst-15583	58	14	search	search	VERB
ajst-15583	58	15	to	to	PART
ajst-15583	58	16	find	find	VERB
ajst-15583	58	17	the	the	DET
ajst-15583	58	18	best	good	ADJ
ajst-15583	58	19	structure	structure	NOUN
ajst-15583	58	20	,	,	PUNCT
ajst-15583	58	21	and	and	CCONJ
ajst-15583	58	22	then	then	ADV
ajst-15583	58	23	can	can	AUX
ajst-15583	58	24	estimate	estimate	VERB
ajst-15583	58	25	the	the	DET
ajst-15583	58	26	parameters	parameter	NOUN
ajst-15583	58	27	through	through	ADP
ajst-15583	58	28	parameter	parameter	NOUN
ajst-15583	58	29	learning	learning	PROPN
ajst-15583	58	30	.	.	PUNCT
ajst-15583	59	1	combined	combine	VERB
ajst-15583	59	2	with	with	ADP
ajst-15583	59	3	the	the	DET
ajst-15583	59	4	global	global	ADJ
ajst-15583	59	5	search	search	NOUN
ajst-15583	59	6	capability	capability	NOUN
ajst-15583	59	7	of	of	ADP
ajst-15583	59	8	genetic	genetic	ADJ
ajst-15583	59	9	algorithm	algorithm	NOUN
ajst-15583	59	10	and	and	CCONJ
ajst-15583	59	11	the	the	DET
ajst-15583	59	12	probabilistic	probabilistic	ADJ
ajst-15583	59	13	modeling	modeling	NOUN
ajst-15583	59	14	capability	capability	NOUN
ajst-15583	59	15	of	of	ADP
ajst-15583	59	16	hybrid	hybrid	ADJ
ajst-15583	59	17	bayesian	bayesian	NOUN
ajst-15583	59	18	networks	network	NOUN
ajst-15583	59	19	,	,	PUNCT
ajst-15583	59	20	potential	potential	ADJ
ajst-15583	59	21	probabilistic	probabilistic	ADJ
ajst-15583	59	22	relationships	relationship	NOUN
ajst-15583	59	23	can	can	AUX
ajst-15583	59	24	be	be	AUX
ajst-15583	59	25	discovered	discover	VERB
ajst-15583	59	26	in	in	ADP
ajst-15583	59	27	large	large	ADJ
ajst-15583	59	28	-	-	PUNCT
ajst-15583	59	29	scale	scale	NOUN
ajst-15583	59	30	genomic	genomic	NOUN
ajst-15583	59	31	data	datum	NOUN
ajst-15583	59	32	.	.	PUNCT
ajst-15583	60	1	bayesian	bayesian	NOUN
ajst-15583	60	2	networks	network	NOUN
ajst-15583	60	3	can	can	AUX
ajst-15583	60	4	often	often	ADV
ajst-15583	60	5	handle	handle	VERB
ajst-15583	60	6	uncertainty	uncertainty	NOUN
ajst-15583	60	7	and	and	CCONJ
ajst-15583	60	8	noise	noise	NOUN
ajst-15583	60	9	between	between	ADP
ajst-15583	60	10	variables	variable	NOUN
ajst-15583	60	11	,	,	PUNCT
ajst-15583	60	12	making	make	VERB
ajst-15583	60	13	them	they	PRON
ajst-15583	60	14	robust	robust	ADJ
ajst-15583	60	15	in	in	ADP
ajst-15583	60	16	genomic	genomic	ADJ
ajst-15583	60	17	data	datum	NOUN
ajst-15583	60	18	analysis	analysis	NOUN
ajst-15583	60	19	.	.	PUNCT
ajst-15583	61	1	finally	finally	ADV
ajst-15583	61	2	,	,	PUNCT
ajst-15583	61	3	genetic	genetic	ADJ
ajst-15583	61	4	algorithms	algorithm	NOUN
ajst-15583	61	5	can	can	AUX
ajst-15583	61	6	optimize	optimize	VERB
ajst-15583	61	7	the	the	DET
ajst-15583	61	8	network	network	NOUN
ajst-15583	61	9	structure	structure	NOUN
ajst-15583	61	10	through	through	ADP
ajst-15583	61	11	the	the	DET
ajst-15583	61	12	evolutionary	evolutionary	ADJ
ajst-15583	61	13	process	process	NOUN
ajst-15583	61	14	and	and	CCONJ
ajst-15583	61	15	help	help	VERB
ajst-15583	61	16	find	find	VERB
ajst-15583	61	17	the	the	DET
ajst-15583	61	18	best	good	ADJ
ajst-15583	61	19	model	model	NOUN
ajst-15583	61	20	suitable	suitable	ADJ
ajst-15583	61	21	for	for	ADP
ajst-15583	61	22	the	the	DET
ajst-15583	61	23	data	datum	NOUN
ajst-15583	61	24	.	.	PUNCT
ajst-15583	62	1	4	4	X
ajst-15583	62	2	.	.	X
ajst-15583	62	3	conclusion	conclusion	VERB
ajst-15583	62	4	artificial	artificial	ADJ
ajst-15583	62	5	intelligence	intelligence	NOUN
ajst-15583	62	6	data	datum	NOUN
ajst-15583	62	7	mining	mining	NOUN
ajst-15583	62	8	technology	technology	NOUN
ajst-15583	62	9	is	be	AUX
ajst-15583	62	10	widely	widely	ADV
ajst-15583	62	11	used	use	VERB
ajst-15583	62	12	in	in	ADP
ajst-15583	62	13	today	today	NOUN
ajst-15583	62	14	's	's	PART
ajst-15583	62	15	business	business	NOUN
ajst-15583	62	16	and	and	CCONJ
ajst-15583	62	17	industry	industry	NOUN
ajst-15583	62	18	,	,	PUNCT
ajst-15583	62	19	but	but	CCONJ
ajst-15583	62	20	its	its	PRON
ajst-15583	62	21	application	application	NOUN
ajst-15583	62	22	in	in	ADP
ajst-15583	62	23	biomedicine	biomedicine	NOUN
ajst-15583	62	24	,	,	PUNCT
ajst-15583	62	25	especially	especially	ADV
ajst-15583	62	26	in	in	ADP
ajst-15583	62	27	the	the	DET
ajst-15583	62	28	field	field	NOUN
ajst-15583	62	29	of	of	ADP
ajst-15583	62	30	genomic	genomic	ADJ
ajst-15583	62	31	information	information	NOUN
ajst-15583	62	32	analysis	analysis	NOUN
ajst-15583	62	33	,	,	PUNCT
ajst-15583	62	34	is	be	AUX
ajst-15583	62	35	still	still	ADV
ajst-15583	62	36	in	in	ADP
ajst-15583	62	37	the	the	DET
ajst-15583	62	38	initial	initial	ADJ
ajst-15583	62	39	stage	stage	NOUN
ajst-15583	62	40	.	.	PUNCT
ajst-15583	63	1	in	in	ADP
ajst-15583	63	2	order	order	NOUN
ajst-15583	63	3	to	to	PART
ajst-15583	63	4	have	have	AUX
ajst-15583	63	5	greater	great	ADJ
ajst-15583	63	6	application	application	NOUN
ajst-15583	63	7	value	value	NOUN
ajst-15583	63	8	in	in	ADP
ajst-15583	63	9	medicine	medicine	NOUN
ajst-15583	63	10	,	,	PUNCT
ajst-15583	63	11	we	we	PRON
ajst-15583	63	12	need	need	VERB
ajst-15583	63	13	to	to	PART
ajst-15583	63	14	actively	actively	ADV
ajst-15583	63	15	explore	explore	VERB
ajst-15583	63	16	135	135	NUM
ajst-15583	63	17	data	datum	NOUN
ajst-15583	63	18	mining	mining	NOUN
ajst-15583	63	19	.	.	PUNCT
ajst-15583	64	1	in	in	ADP
ajst-15583	64	2	the	the	DET
ajst-15583	64	3	face	face	NOUN
ajst-15583	64	4	of	of	ADP
ajst-15583	64	5	the	the	DET
ajst-15583	64	6	complexity	complexity	NOUN
ajst-15583	64	7	and	and	CCONJ
ajst-15583	64	8	particularity	particularity	NOUN
ajst-15583	64	9	of	of	ADP
ajst-15583	64	10	medical	medical	ADJ
ajst-15583	64	11	information	information	NOUN
ajst-15583	64	12	acquisition	acquisition	NOUN
ajst-15583	64	13	,	,	PUNCT
ajst-15583	64	14	the	the	DET
ajst-15583	64	15	mining	mining	NOUN
ajst-15583	64	16	algorithm	algorithm	NOUN
ajst-15583	64	17	also	also	ADV
ajst-15583	64	18	has	have	VERB
ajst-15583	64	19	high	high	ADJ
ajst-15583	64	20	efficiency	efficiency	NOUN
ajst-15583	64	21	and	and	CCONJ
ajst-15583	64	22	robustness[16	robustness[16	NOUN
ajst-15583	64	23	-	-	PUNCT
ajst-15583	64	24	17	17	NUM
ajst-15583	64	25	]	]	PUNCT
ajst-15583	64	26	.	.	PUNCT
ajst-15583	65	1	therefore	therefore	ADV
ajst-15583	65	2	,	,	PUNCT
ajst-15583	65	3	in	in	ADP
ajst-15583	65	4	the	the	DET
ajst-15583	65	5	future	future	NOUN
ajst-15583	65	6	,	,	PUNCT
ajst-15583	65	7	genome	genome	NOUN
ajst-15583	65	8	data	datum	NOUN
ajst-15583	65	9	analysis	analysis	NOUN
ajst-15583	65	10	algorithms	algorithm	NOUN
ajst-15583	65	11	based	base	VERB
ajst-15583	65	12	on	on	ADP
ajst-15583	65	13	ai	ai	NOUN
ajst-15583	65	14	may	may	AUX
ajst-15583	65	15	continue	continue	VERB
ajst-15583	65	16	to	to	PART
ajst-15583	65	17	develop	develop	VERB
ajst-15583	65	18	,	,	PUNCT
ajst-15583	65	19	including	include	VERB
ajst-15583	65	20	the	the	DET
ajst-15583	65	21	following	following	ADJ
ajst-15583	65	22	directions	direction	NOUN
ajst-15583	65	23	:	:	PUNCT
ajst-15583	65	24	more	more	ADV
ajst-15583	65	25	complex	complex	ADJ
ajst-15583	65	26	deep	deep	ADJ
ajst-15583	65	27	learning	learning	NOUN
ajst-15583	65	28	models	model	NOUN
ajst-15583	65	29	:	:	PUNCT
ajst-15583	65	30	deep	deep	ADJ
ajst-15583	65	31	learning	learning	NOUN
ajst-15583	65	32	has	have	AUX
ajst-15583	65	33	shown	show	VERB
ajst-15583	65	34	great	great	ADJ
ajst-15583	65	35	potential	potential	NOUN
ajst-15583	65	36	in	in	ADP
ajst-15583	65	37	genomic	genomic	ADJ
ajst-15583	65	38	data	datum	NOUN
ajst-15583	65	39	analysis	analysis	NOUN
ajst-15583	65	40	,	,	PUNCT
ajst-15583	65	41	and	and	CCONJ
ajst-15583	65	42	more	more	ADV
ajst-15583	65	43	complex	complex	ADJ
ajst-15583	65	44	deep	deep	ADJ
ajst-15583	65	45	learning	learning	NOUN
ajst-15583	65	46	models	model	NOUN
ajst-15583	65	47	may	may	AUX
ajst-15583	65	48	appear	appear	VERB
ajst-15583	65	49	in	in	ADP
ajst-15583	65	50	the	the	DET
ajst-15583	65	51	future	future	NOUN
ajst-15583	65	52	,	,	PUNCT
ajst-15583	65	53	which	which	PRON
ajst-15583	65	54	can	can	AUX
ajst-15583	65	55	better	well	ADV
ajst-15583	65	56	mine	mine	VERB
ajst-15583	65	57	the	the	DET
ajst-15583	65	58	information	information	NOUN
ajst-15583	65	59	in	in	ADP
ajst-15583	65	60	genomic	genomic	ADJ
ajst-15583	65	61	data	datum	NOUN
ajst-15583	65	62	;	;	PUNCT
ajst-15583	65	63	integration	integration	NOUN
ajst-15583	65	64	methods	method	NOUN
ajst-15583	65	65	,	,	PUNCT
ajst-15583	65	66	which	which	PRON
ajst-15583	65	67	integrate	integrate	VERB
ajst-15583	65	68	different	different	ADJ
ajst-15583	65	69	algorithms	algorithm	NOUN
ajst-15583	65	70	(	(	PUNCT
ajst-15583	65	71	such	such	ADJ
ajst-15583	65	72	as	as	ADP
ajst-15583	65	73	genetic	genetic	ADJ
ajst-15583	65	74	algorithms	algorithm	NOUN
ajst-15583	65	75	,	,	PUNCT
ajst-15583	65	76	bayesian	bayesian	NOUN
ajst-15583	65	77	networks	network	NOUN
ajst-15583	65	78	,	,	PUNCT
ajst-15583	65	79	deep	deep	ADJ
ajst-15583	65	80	learning	learning	NOUN
ajst-15583	65	81	,	,	PUNCT
ajst-15583	65	82	etc	etc	X
ajst-15583	65	83	.	.	X
ajst-15583	65	84	)	)	PUNCT
ajst-15583	66	1	together	together	ADV
ajst-15583	66	2	for	for	ADP
ajst-15583	66	3	better	well	ADJ
ajst-15583	66	4	performance	performance	NOUN
ajst-15583	66	5	and	and	CCONJ
ajst-15583	66	6	robustness	robustness	NOUN
ajst-15583	66	7	;	;	PUNCT
ajst-15583	66	8	reinforcement	reinforcement	NOUN
ajst-15583	66	9	learning	learning	NOUN
ajst-15583	66	10	,	,	PUNCT
ajst-15583	66	11	which	which	PRON
ajst-15583	66	12	uses	use	VERB
ajst-15583	66	13	reinforcement	reinforcement	NOUN
ajst-15583	66	14	learning	learning	NOUN
ajst-15583	66	15	to	to	PART
ajst-15583	66	16	optimize	optimize	VERB
ajst-15583	66	17	the	the	DET
ajst-15583	66	18	decision	decision	NOUN
ajst-15583	66	19	-	-	PUNCT
ajst-15583	66	20	making	make	VERB
ajst-15583	66	21	process	process	NOUN
ajst-15583	66	22	of	of	ADP
ajst-15583	66	23	genomic	genomic	ADJ
ajst-15583	66	24	data	datum	NOUN
ajst-15583	66	25	analysis	analysis	NOUN
ajst-15583	66	26	to	to	PART
ajst-15583	66	27	achieve	achieve	VERB
ajst-15583	66	28	more	more	ADV
ajst-15583	66	29	precise	precise	ADJ
ajst-15583	66	30	results	result	NOUN
ajst-15583	66	31	;	;	PUNCT
ajst-15583	66	32	large	large	ADJ
ajst-15583	66	33	-	-	PUNCT
ajst-15583	66	34	scale	scale	NOUN
ajst-15583	66	35	data	datum	NOUN
ajst-15583	66	36	processing	processing	NOUN
ajst-15583	66	37	,	,	PUNCT
ajst-15583	66	38	with	with	ADP
ajst-15583	66	39	the	the	DET
ajst-15583	66	40	accumulation	accumulation	NOUN
ajst-15583	66	41	of	of	ADP
ajst-15583	66	42	genomic	genomic	ADJ
ajst-15583	66	43	data	datum	NOUN
ajst-15583	66	44	,	,	PUNCT
ajst-15583	66	45	the	the	DET
ajst-15583	66	46	development	development	NOUN
ajst-15583	66	47	of	of	ADP
ajst-15583	66	48	efficient	efficient	ADJ
ajst-15583	66	49	large	large	ADJ
ajst-15583	66	50	-	-	PUNCT
ajst-15583	66	51	scale	scale	NOUN
ajst-15583	66	52	data	datum	NOUN
ajst-15583	66	53	processing	processing	NOUN
ajst-15583	66	54	algorithms	algorithm	NOUN
ajst-15583	66	55	will	will	AUX
ajst-15583	66	56	become	become	VERB
ajst-15583	66	57	more	more	ADJ
ajst-15583	66	58	important[18	important[18	NOUN
ajst-15583	66	59	-	-	PUNCT
ajst-15583	66	60	20	20	NUM
ajst-15583	66	61	]	]	PUNCT
ajst-15583	66	62	.	.	PUNCT
ajst-15583	67	1	overall	overall	ADV
ajst-15583	67	2	,	,	PUNCT
ajst-15583	67	3	the	the	DET
ajst-15583	67	4	field	field	NOUN
ajst-15583	67	5	of	of	ADP
ajst-15583	67	6	genomic	genomic	ADJ
ajst-15583	67	7	data	datum	NOUN
ajst-15583	67	8	analysis	analysis	NOUN
ajst-15583	67	9	remains	remain	VERB
ajst-15583	67	10	an	an	DET
ajst-15583	67	11	area	area	NOUN
ajst-15583	67	12	full	full	ADJ
ajst-15583	67	13	of	of	ADP
ajst-15583	67	14	challenges	challenge	NOUN
ajst-15583	67	15	and	and	CCONJ
ajst-15583	67	16	opportunities	opportunity	NOUN
ajst-15583	67	17	,	,	PUNCT
ajst-15583	67	18	and	and	CCONJ
ajst-15583	67	19	future	future	ADJ
ajst-15583	67	20	developments	development	NOUN
ajst-15583	67	21	are	be	AUX
ajst-15583	67	22	likely	likely	ADJ
ajst-15583	67	23	to	to	PART
ajst-15583	67	24	combine	combine	VERB
ajst-15583	67	25	multiple	multiple	ADJ
ajst-15583	68	1	ai	ai	ADJ
ajst-15583	68	2	techniques	technique	NOUN
ajst-15583	68	3	to	to	PART
ajst-15583	68	4	better	well	ADV
ajst-15583	68	5	understand	understand	VERB
ajst-15583	68	6	the	the	DET
ajst-15583	68	7	complexity	complexity	NOUN
ajst-15583	68	8	and	and	CCONJ
ajst-15583	68	9	biological	biological	ADJ
ajst-15583	68	10	significance	significance	NOUN
ajst-15583	68	11	of	of	ADP
ajst-15583	68	12	genomic	genomic	ADJ
ajst-15583	68	13	data	datum	NOUN
ajst-15583	68	14	.	.	PUNCT
ajst-15583	69	1	references	reference	NOUN
ajst-15583	69	2	[	[	X
ajst-15583	69	3	1	1	NUM
ajst-15583	69	4	]	]	PUNCT
ajst-15583	69	5	watts	watts	PROPN
ajst-15583	69	6	djstrogatz	djstrogatz	PROPN
ajst-15583	69	7	s	s	PART
ajst-15583	69	8	h.collective	h.collective	ADJ
ajst-15583	69	9	dynamicsofsmallword	dynamicsofsmallword	ADJ
ajst-15583	69	10	networks	network	NOUN
ajst-15583	70	1	[	[	X
ajst-15583	70	2	j	j	X
ajst-15583	70	3	]	]	X
ajst-15583	70	4	.	.	PUNCT
ajst-15583	71	1	nature	nature	NOUN
ajst-15583	71	2	,	,	PUNCT
ajst-15583	71	3	1998,(393):440	1998,(393):440	PROPN
ajst-15583	71	4	-	-	SYM
ajst-15583	71	5	442.\	442.\	PROPN
ajst-15583	72	1	[	[	X
ajst-15583	72	2	2	2	X
ajst-15583	72	3	]	]	PUNCT
ajst-15583	72	4	barabasi	barabasi	NOUN
ajst-15583	72	5	a	a	DET
ajst-15583	72	6	l	l	NOUN
ajst-15583	72	7	,	,	PUNCT
ajst-15583	72	8	albert	albert	PROPN
ajst-15583	72	9	r.emergence	r.emergence	NOUN
ajst-15583	72	10	of	of	ADP
ajst-15583	72	11	scalingin	scalingin	ADJ
ajst-15583	72	12	random	random	ADJ
ajst-15583	72	13	networks	network	NOUN
ajst-15583	72	14	[	[	X
ajst-15583	72	15	j].science,1999,(286):509	j].science,1999,(286):509	NOUN
ajst-15583	72	16	-	-	ADJ
ajst-15583	72	17	512	512	NUM
ajst-15583	72	18	.	.	PUNCT
ajst-15583	73	1	[	[	X
ajst-15583	73	2	3	3	X
ajst-15583	73	3	]	]	X
ajst-15583	73	4	barabasi	barabasi	NOUN
ajst-15583	73	5	a	a	DET
ajst-15583	73	6	l	l	NOUN
ajst-15583	73	7	,	,	PUNCT
ajst-15583	73	8	albert	albert	PROPN
ajst-15583	73	9	r	r	PROPN
ajst-15583	73	10	,	,	PUNCT
ajst-15583	73	11	jeong	jeong	PROPN
ajst-15583	73	12	h	h	PROPN
ajst-15583	73	13	,	,	PUNCT
ajst-15583	73	14	etal.power	etal.power	NOUN
ajst-15583	73	15	-	-	PUNCT
ajst-15583	73	16	law	law	NOUN
ajst-15583	73	17	distribution	distribution	NOUN
ajst-15583	73	18	of	of	ADP
ajst-15583	73	19	the	the	DET
ajst-15583	73	20	world	world	NOUN
ajst-15583	73	21	wide	wide	ADJ
ajst-15583	73	22	web	web	NOUN
ajst-15583	73	23	[	[	X
ajst-15583	73	24	j	j	X
ajst-15583	73	25	]	]	X
ajst-15583	73	26	science	science	NOUN
ajst-15583	73	27	,	,	PUNCT
ajst-15583	73	28	2000	2000	NUM
ajst-15583	73	29	,	,	PUNCT
ajst-15583	73	30	287	287	NUM
ajst-15583	73	31	(	(	PUNCT
ajst-15583	73	32	5461):2115	5461):2115	NOUN
ajst-15583	73	33	.	.	PUNCT
ajst-15583	74	1	[	[	X
ajst-15583	74	2	4	4	NUM
ajst-15583	74	3	]	]	X
ajst-15583	74	4	gasser	gasser	NOUN
ajst-15583	74	5	,	,	PUNCT
ajst-15583	74	6	thomas	thomas	PROPN
ajst-15583	74	7	,	,	PUNCT
ajst-15583	74	8	and	and	CCONJ
ajst-15583	74	9	manu	manu	PROPN
ajst-15583	74	10	sharma	sharma	PROPN
ajst-15583	74	11	,	,	PUNCT
ajst-15583	74	12	"	"	PUNCT
ajst-15583	74	13	computational	computational	ADJ
ajst-15583	74	14	approaches	approach	NOUN
ajst-15583	74	15	for	for	ADP
ajst-15583	74	16	understanding	understand	VERB
ajst-15583	74	17	the	the	DET
ajst-15583	74	18	diagnosis	diagnosis	NOUN
ajst-15583	74	19	and	and	CCONJ
ajst-15583	74	20	treatment	treatment	NOUN
ajst-15583	74	21	of	of	ADP
ajst-15583	74	22	parkinson	parkinson	NOUN
ajst-15583	74	23	's	's	PART
ajst-15583	74	24	disease	disease	NOUN
ajst-15583	74	25	"	"	PUNCT
ajst-15583	74	26	,	,	PUNCT
ajst-15583	74	27	journal	journal	NOUN
ajst-15583	74	28	of	of	ADP
ajst-15583	74	29	neurology	neurology	NOUN
ajst-15583	74	30	,	,	PUNCT
ajst-15583	74	31	2015	2015	NUM
ajst-15583	74	32	.	.	PUNCT
ajst-15583	75	1	[	[	X
ajst-15583	75	2	5	5	X
ajst-15583	75	3	]	]	X
ajst-15583	75	4	chang	chang	PROPN
ajst-15583	75	5	che	che	PROPN
ajst-15583	75	6	,	,	PUNCT
ajst-15583	75	7	bo	bo	PROPN
ajst-15583	75	8	liu	liu	PROPN
ajst-15583	75	9	,	,	PUNCT
ajst-15583	75	10	shulin	shulin	PROPN
ajst-15583	75	11	li	li	PROPN
ajst-15583	75	12	,	,	PUNCT
ajst-15583	75	13	jiaxin	jiaxin	PROPN
ajst-15583	75	14	huang	huang	PROPN
ajst-15583	75	15	,	,	PUNCT
ajst-15583	75	16	and	and	CCONJ
ajst-15583	75	17	hao	hao	PROPN
ajst-15583	75	18	hu	hu	PROPN
ajst-15583	75	19	.	.	PUNCT
ajst-15583	76	1	deep	deep	ADJ
ajst-15583	76	2	learning	learning	NOUN
ajst-15583	76	3	for	for	ADP
ajst-15583	76	4	precise	precise	ADJ
ajst-15583	76	5	robot	robot	NOUN
ajst-15583	76	6	position	position	NOUN
ajst-15583	76	7	prediction	prediction	NOUN
ajst-15583	76	8	in	in	ADP
ajst-15583	76	9	logistics	logistic	NOUN
ajst-15583	76	10	.	.	PUNCT
ajst-15583	77	1	journal	journal	PROPN
ajst-15583	77	2	of	of	ADP
ajst-15583	77	3	theory	theory	NOUN
ajst-15583	77	4	and	and	CCONJ
ajst-15583	77	5	practice	practice	NOUN
ajst-15583	77	6	of	of	ADP
ajst-15583	77	7	engineering	engineering	NOUN
ajst-15583	77	8	science	science	NOUN
ajst-15583	77	9	,	,	PUNCT
ajst-15583	77	10	3(10):36–41	3(10):36–41	NUM
ajst-15583	77	11	,	,	PUNCT
ajst-15583	77	12	2023.doi	2023.doi	NUM
ajst-15583	77	13	:	:	PUNCT
ajst-15583	77	14	10.1021	10.1021	NUM
ajst-15583	77	15	/	/	SYM
ajst-15583	77	16	acs.jctc.3c00031	acs.jctc.3c00031	NOUN
ajst-15583	77	17	.	.	PUNCT
ajst-15583	78	1	[	[	X
ajst-15583	78	2	6	6	NUM
ajst-15583	78	3	]	]	X
ajst-15583	78	4	hao	hao	PROPN
ajst-15583	78	5	hu	hu	PROPN
ajst-15583	78	6	,	,	PUNCT
ajst-15583	78	7	shulin	shulin	PROPN
ajst-15583	78	8	li	li	PROPN
ajst-15583	78	9	,	,	PUNCT
ajst-15583	78	10	jiaxin	jiaxin	PROPN
ajst-15583	78	11	huang	huang	PROPN
ajst-15583	78	12	,	,	PUNCT
ajst-15583	78	13	bo	bo	PROPN
ajst-15583	78	14	liu	liu	PROPN
ajst-15583	78	15	,	,	PUNCT
ajst-15583	78	16	and	and	CCONJ
ajst-15583	78	17	change	change	VERB
ajst-15583	78	18	che	che	PROPN
ajst-15583	78	19	.	.	PUNCT
ajst-15583	79	1	casting	cast	VERB
ajst-15583	79	2	product	product	NOUN
ajst-15583	79	3	image	image	NOUN
ajst-15583	79	4	data	datum	NOUN
ajst-15583	79	5	for	for	ADP
ajst-15583	79	6	quality	quality	NOUN
ajst-15583	79	7	inspection	inspection	NOUN
ajst-15583	79	8	with	with	ADP
ajst-15583	79	9	xception	xception	NOUN
ajst-15583	79	10	and	and	CCONJ
ajst-15583	79	11	data	datum	NOUN
ajst-15583	79	12	augmentation	augmentation	NOUN
ajst-15583	79	13	.	.	PUNCT
ajst-15583	80	1	journal	journal	PROPN
ajst-15583	80	2	of	of	ADP
ajst-15583	80	3	theory	theory	NOUN
ajst-15583	80	4	and	and	CCONJ
ajst-15583	80	5	practice	practice	NOUN
ajst-15583	80	6	of	of	ADP
ajst-15583	80	7	engineering	engineering	NOUN
ajst-15583	80	8	science	science	NOUN
ajst-15583	80	9	,	,	PUNCT
ajst-15583	80	10	3(10):42–46	3(10):42–46	NUM
ajst-15583	80	11	,	,	PUNCT
ajst-15583	80	12	2023	2023	NUM
ajst-15583	80	13	.	.	PUNCT
ajst-15583	81	1	https://doi.org/10.53469/jtpes.2023.03(10).06	https://doi.org/10.53469/jtpes.2023.03(10).06	X
ajst-15583	82	1	[	[	X
ajst-15583	82	2	7	7	X
ajst-15583	82	3	]	]	X
ajst-15583	82	4	chang	chang	PROPN
ajst-15583	82	5	che	che	PROPN
ajst-15583	82	6	,	,	PUNCT
ajst-15583	82	7	qunwei	qunwei	PROPN
ajst-15583	82	8	lin	lin	PROPN
ajst-15583	82	9	,	,	PUNCT
ajst-15583	82	10	xinyu	xinyu	PROPN
ajst-15583	82	11	zhao	zhao	PROPN
ajst-15583	82	12	,	,	PUNCT
ajst-15583	82	13	jiaxin	jiaxin	PROPN
ajst-15583	82	14	huang	huang	PROPN
ajst-15583	82	15	,	,	PUNCT
ajst-15583	82	16	and	and	CCONJ
ajst-15583	82	17	liqiang	liqiang	PROPN
ajst-15583	82	18	yu	yu	PROPN
ajst-15583	82	19	.	.	PROPN
ajst-15583	82	20	2023	2023	NUM
ajst-15583	82	21	.	.	PUNCT
ajst-15583	83	1	enhancing	enhance	VERB
ajst-15583	83	2	multimodal	multimodal	ADJ
ajst-15583	83	3	understanding	understanding	NOUN
ajst-15583	83	4	with	with	ADP
ajst-15583	83	5	clip	clip	NOUN
ajst-15583	83	6	-	-	PUNCT
ajst-15583	83	7	based	base	VERB
ajst-15583	83	8	image	image	NOUN
ajst-15583	83	9	-	-	PUNCT
ajst-15583	83	10	to	to	ADP
ajst-15583	83	11	-	-	PUNCT
ajst-15583	83	12	text	text	NOUN
ajst-15583	83	13	transformation	transformation	NOUN
ajst-15583	83	14	.	.	PUNCT
ajst-15583	84	1	in	in	ADP
ajst-15583	84	2	proceedings	proceeding	NOUN
ajst-15583	84	3	of	of	ADP
ajst-15583	84	4	the	the	DET
ajst-15583	84	5	2023	2023	NUM
ajst-15583	84	6	6th	6th	ADJ
ajst-15583	84	7	international	international	ADJ
ajst-15583	84	8	conference	conference	NOUN
ajst-15583	84	9	on	on	ADP
ajst-15583	84	10	big	big	ADJ
ajst-15583	84	11	data	datum	NOUN
ajst-15583	84	12	technologies	technology	NOUN
ajst-15583	84	13	(	(	PUNCT
ajst-15583	84	14	icbdt	icbdt	NOUN
ajst-15583	84	15	'	'	PROPN
ajst-15583	84	16	23	23	NUM
ajst-15583	84	17	)	)	PUNCT
ajst-15583	84	18	.	.	PUNCT
ajst-15583	85	1	association	association	NOUN
ajst-15583	85	2	for	for	ADP
ajst-15583	85	3	computing	compute	VERB
ajst-15583	85	4	machinery	machinery	NOUN
ajst-15583	85	5	,	,	PUNCT
ajst-15583	85	6	new	new	PROPN
ajst-15583	85	7	york	york	PROPN
ajst-15583	85	8	,	,	PUNCT
ajst-15583	85	9	ny	ny	PROPN
ajst-15583	85	10	,	,	PUNCT
ajst-15583	85	11	usa	usa	PROPN
ajst-15583	85	12	,	,	PUNCT
ajst-15583	85	13	414–418	414–418	NUM
ajst-15583	85	14	.	.	PUNCT
ajst-15583	86	1	https://doi.org/10.1145/3627377.3627442	https://doi.org/10.1145/3627377.3627442	ADJ
ajst-15583	87	1	[	[	X
ajst-15583	87	2	8	8	NUM
ajst-15583	87	3	]	]	X
ajst-15583	87	4	y.	y.	PROPN
ajst-15583	87	5	wang	wang	PROPN
ajst-15583	87	6	,	,	PUNCT
ajst-15583	87	7	k.	k.	PROPN
ajst-15583	87	8	yang	yang	PROPN
ajst-15583	87	9	,	,	PUNCT
ajst-15583	87	10	w.	w.	PROPN
ajst-15583	87	11	wan	wan	PROPN
ajst-15583	87	12	,	,	PUNCT
ajst-15583	87	13	y.	y.	PROPN
ajst-15583	87	14	zhang	zhang	PROPN
ajst-15583	87	15	and	and	CCONJ
ajst-15583	87	16	q.	q.	PROPN
ajst-15583	87	17	liu	liu	PROPN
ajst-15583	87	18	,	,	PUNCT
ajst-15583	87	19	"	"	PUNCT
ajst-15583	87	20	energyefficient	energyefficient	NOUN
ajst-15583	87	21	data	datum	NOUN
ajst-15583	87	22	and	and	CCONJ
ajst-15583	87	23	energy	energy	NOUN
ajst-15583	87	24	integrated	integrate	VERB
ajst-15583	87	25	management	management	NOUN
ajst-15583	87	26	strategy	strategy	NOUN
ajst-15583	87	27	for	for	ADP
ajst-15583	87	28	iot	iot	PROPN
ajst-15583	87	29	devices	device	NOUN
ajst-15583	87	30	based	base	VERB
ajst-15583	87	31	on	on	ADP
ajst-15583	87	32	rf	rf	NOUN
ajst-15583	87	33	energy	energy	NOUN
ajst-15583	87	34	harvesting	harvesting	NOUN
ajst-15583	87	35	,	,	PUNCT
ajst-15583	87	36	"	"	PUNCT
ajst-15583	87	37	in	in	ADP
ajst-15583	87	38	ieee	ieee	NOUN
ajst-15583	87	39	internet	internet	NOUN
ajst-15583	87	40	of	of	ADP
ajst-15583	87	41	things	thing	NOUN
ajst-15583	87	42	journal	journal	NOUN
ajst-15583	87	43	,	,	PUNCT
ajst-15583	87	44	vol	vol	NOUN
ajst-15583	87	45	.	.	PROPN
ajst-15583	87	46	8	8	NUM
ajst-15583	87	47	,	,	PUNCT
ajst-15583	87	48	no	no	INTJ
ajst-15583	87	49	.	.	NOUN
ajst-15583	87	50	17	17	NUM
ajst-15583	87	51	,	,	PUNCT
ajst-15583	87	52	pp	pp	ADJ
ajst-15583	87	53	.	.	PUNCT
ajst-15583	87	54	13640	13640	NUM
ajst-15583	87	55	-	-	SYM
ajst-15583	87	56	13651	13651	NUM
ajst-15583	87	57	,	,	PUNCT
ajst-15583	87	58	1	1	NUM
ajst-15583	87	59	sept.1	sept.1	ADJ
ajst-15583	87	60	,	,	PUNCT
ajst-15583	87	61	2021	2021	NUM
ajst-15583	87	62	,	,	PUNCT
ajst-15583	87	63	doi	doi	NOUN
ajst-15583	87	64	:	:	PUNCT
ajst-15583	87	65	10.1109	10.1109	NUM
ajst-15583	87	66	/	/	SYM
ajst-15583	87	67	jiot.2021.3068040	jiot.2021.3068040	NOUN
ajst-15583	87	68	.	.	PUNCT
ajst-15583	88	1	[	[	X
ajst-15583	88	2	9	9	NUM
ajst-15583	88	3	]	]	X
ajst-15583	88	4	y.	y.	PROPN
ajst-15583	88	5	wang	wang	PROPN
ajst-15583	88	6	,	,	PUNCT
ajst-15583	88	7	k.	k.	PROPN
ajst-15583	88	8	yang	yang	PROPN
ajst-15583	88	9	,	,	PUNCT
ajst-15583	88	10	w.	w.	PROPN
ajst-15583	88	11	wan	wan	PROPN
ajst-15583	88	12	,	,	PUNCT
ajst-15583	88	13	y.	y.	PROPN
ajst-15583	88	14	zhang	zhang	PROPN
ajst-15583	88	15	and	and	CCONJ
ajst-15583	88	16	q.	q.	PROPN
ajst-15583	88	17	liu	liu	PROPN
ajst-15583	88	18	,	,	PUNCT
ajst-15583	88	19	"	"	PUNCT
ajst-15583	88	20	energyefficient	energyefficient	NOUN
ajst-15583	88	21	data	datum	NOUN
ajst-15583	88	22	and	and	CCONJ
ajst-15583	88	23	energy	energy	NOUN
ajst-15583	88	24	integrated	integrate	VERB
ajst-15583	88	25	management	management	NOUN
ajst-15583	88	26	strategy	strategy	NOUN
ajst-15583	88	27	for	for	ADP
ajst-15583	88	28	iot	iot	PROPN
ajst-15583	88	29	devices	device	NOUN
ajst-15583	88	30	based	base	VERB
ajst-15583	88	31	on	on	ADP
ajst-15583	88	32	rf	rf	NOUN
ajst-15583	88	33	energy	energy	NOUN
ajst-15583	88	34	harvesting	harvesting	NOUN
ajst-15583	88	35	,	,	PUNCT
ajst-15583	88	36	"	"	PUNCT
ajst-15583	88	37	in	in	ADP
ajst-15583	88	38	ieee	ieee	NOUN
ajst-15583	88	39	internet	internet	NOUN
ajst-15583	88	40	of	of	ADP
ajst-15583	88	41	things	thing	NOUN
ajst-15583	88	42	journal	journal	NOUN
ajst-15583	88	43	,	,	PUNCT
ajst-15583	88	44	vol	vol	NOUN
ajst-15583	88	45	.	.	PROPN
ajst-15583	88	46	8	8	NUM
ajst-15583	88	47	,	,	PUNCT
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ajst-15583	88	50	17	17	NUM
ajst-15583	88	51	,	,	PUNCT
ajst-15583	88	52	pp	pp	ADJ
ajst-15583	88	53	.	.	PUNCT
ajst-15583	89	1	13640	13640	NUM
ajst-15583	89	2	-	-	SYM
ajst-15583	89	3	13651	13651	NUM
ajst-15583	89	4	,	,	PUNCT
ajst-15583	89	5	1	1	NUM
ajst-15583	89	6	sept.1	sept.1	ADJ
ajst-15583	89	7	,	,	PUNCT
ajst-15583	89	8	2021	2021	NUM
ajst-15583	89	9	,	,	PUNCT
ajst-15583	89	10	doi	doi	NOUN
ajst-15583	89	11	:	:	PUNCT
ajst-15583	89	12	10.1109	10.1109	NUM
ajst-15583	89	13	/	/	SYM
ajst-15583	89	14	jiot.2021.3068040	jiot.2021.3068040	NOUN
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ajst-15583	90	1	[	[	X
ajst-15583	90	2	10	10	NUM
ajst-15583	90	3	]	]	X
ajst-15583	90	4	wang	wang	PROPN
ajst-15583	90	5	,	,	PUNCT
ajst-15583	90	6	y	y	PROPN
ajst-15583	90	7	,	,	PUNCT
ajst-15583	90	8	yang	yang	PROPN
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ajst-15583	90	10	k	k	PROPN
ajst-15583	90	11	,	,	PUNCT
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ajst-15583	90	13	,	,	PUNCT
ajst-15583	90	14	w	w	PROPN
ajst-15583	90	15	,	,	PUNCT
ajst-15583	90	16	mei	mei	PROPN
ajst-15583	90	17	,	,	PUNCT
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ajst-15583	90	21	saving	save	VERB
ajst-15583	90	22	algorithms	algorithm	NOUN
ajst-15583	90	23	for	for	ADP
ajst-15583	90	24	internet	internet	NOUN
ajst-15583	90	25	of	of	ADP
ajst-15583	90	26	things	thing	NOUN
ajst-15583	90	27	devices	device	NOUN
ajst-15583	90	28	integrating	integrate	VERB
ajst-15583	90	29	end	end	NOUN
ajst-15583	90	30	and	and	CCONJ
ajst-15583	90	31	edge	edge	NOUN
ajst-15583	90	32	strategies	strategy	NOUN
ajst-15583	90	33	.	.	PUNCT
ajst-15583	91	1	trans	tran	NOUN
ajst-15583	91	2	emerging	emerge	VERB
ajst-15583	91	3	tel	tel	PROPN
ajst-15583	91	4	tech	tech	NOUN
ajst-15583	91	5	.	.	PUNCT
ajst-15583	91	6	2021	2021	NUM
ajst-15583	91	7	;	;	PUNCT
ajst-15583	91	8	32	32	NUM
ajst-15583	91	9	:	:	PUNCT
ajst-15583	91	10	e4122.doi	e4122.doi	PROPN
ajst-15583	91	11	:	:	PUNCT
ajst-15583	91	12	https://doi.org/10.1002/ett.4122	https://doi.org/10.1002/ett.4122	PROPN
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ajst-15583	92	3	]	]	SYM
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ajst-15583	92	7	,	,	PUNCT
ajst-15583	92	8	pan	pan	PROPN
ajst-15583	92	9	,	,	PUNCT
ajst-15583	92	10	l.	l.	PROPN
ajst-15583	92	11	,	,	PUNCT
ajst-15583	92	12	zeng	zeng	PROPN
ajst-15583	92	13	,	,	PUNCT
ajst-15583	92	14	q.	q.	PROPN
ajst-15583	92	15	,	,	PUNCT
ajst-15583	92	16	sun	sun	PROPN
ajst-15583	92	17	,	,	PUNCT
ajst-15583	92	18	w.	w.	PROPN
ajst-15583	92	19	,	,	PUNCT
ajst-15583	92	20	&	&	CCONJ
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ajst-15583	92	22	,	,	PUNCT
ajst-15583	92	23	w.	w.	PROPN
ajst-15583	92	24	based	base	VERB
ajst-15583	92	25	on	on	ADP
ajst-15583	92	26	tpugraphs	tpugraph	NOUN
ajst-15583	92	27	predicting	predict	VERB
ajst-15583	92	28	model	model	NOUN
ajst-15583	92	29	runtimes	runtime	NOUN
ajst-15583	92	30	using	use	VERB
ajst-15583	92	31	graph	graph	NOUN
ajst-15583	92	32	neural	neural	ADJ
ajst-15583	92	33	networks	network	NOUN
ajst-15583	92	34	.	.	PUNCT
ajst-15583	93	1	https://api.semanticscholar.org/corpus	https://api.semanticscholar.org/corpus	X
ajst-15583	94	1	[	[	X
ajst-15583	94	2	12	12	NUM
ajst-15583	94	3	]	]	X
ajst-15583	94	4	yao	yao	PROPN
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ajst-15583	94	6	j.	j.	PROPN
ajst-15583	94	7	,	,	PUNCT
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ajst-15583	94	9	,	,	PUNCT
ajst-15583	94	10	y.	y.	PROPN
ajst-15583	94	11	,	,	PUNCT
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ajst-15583	94	14	s.	s.	PROPN
ajst-15583	94	15	,	,	PUNCT
ajst-15583	94	16	wu	wu	PROPN
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ajst-15583	94	18	h.	h.	PROPN
ajst-15583	94	19	,	,	PUNCT
ajst-15583	94	20	&	&	CCONJ
ajst-15583	94	21	yuan	yuan	PROPN
ajst-15583	94	22	,	,	PUNCT
ajst-15583	94	23	b.	b.	PROPN
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ajst-15583	94	25	in	in	ADP
ajst-15583	94	26	the	the	DET
ajst-15583	94	27	application	application	NOUN
ajst-15583	94	28	of	of	ADP
ajst-15583	94	29	artificial	artificial	ADJ
ajst-15583	94	30	intelligence	intelligence	NOUN
ajst-15583	94	31	in	in	ADP
ajst-15583	94	32	ultrasound	ultrasound	ADJ
ajst-15583	94	33	diagnosis	diagnosis	NOUN
ajst-15583	94	34	of	of	ADP
ajst-15583	94	35	breast	breast	NOUN
ajst-15583	94	36	cancer	cancer	NOUN
ajst-15583	94	37	.	.	PUNCT
ajst-15583	95	1	doi	doi	NOUN
ajst-15583	95	2	:	:	PUNCT
ajst-15583	95	3	https://api.semanticscholar.org	https://api.semanticscholar.org	NUM
ajst-15583	95	4	/	/	SYM
ajst-15583	95	5	corpus	corpus	NOUN
ajst-15583	95	6	[	[	X
ajst-15583	95	7	13	13	NUM
ajst-15583	95	8	]	]	X
ajst-15583	95	9	zhou	zhou	PROPN
ajst-15583	95	10	y	y	PROPN
ajst-15583	95	11	,	,	PUNCT
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ajst-15583	95	13	s	s	PROPN
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ajst-15583	95	16	y	y	PROPN
ajst-15583	95	17	,	,	PUNCT
ajst-15583	95	18	li	li	PROPN
ajst-15583	95	19	l	l	PROPN
ajst-15583	95	20	,	,	PUNCT
ajst-15583	95	21	lou	lou	PROPN
ajst-15583	95	22	q	q	PROPN
ajst-15583	95	23	,	,	PUNCT
ajst-15583	95	24	chen	chen	PROPN
ajst-15583	95	25	y	y	PROPN
ajst-15583	95	26	,	,	PUNCT
ajst-15583	95	27	xu	xu	PROPN
ajst-15583	95	28	s.	s.	PROPN
ajst-15583	95	29	multiclinical	multiclinical	PROPN
ajst-15583	95	30	index	index	NOUN
ajst-15583	95	31	classifier	classifier	NOUN
ajst-15583	95	32	combined	combine	VERB
ajst-15583	95	33	with	with	ADP
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ajst-15583	95	35	algorithm	algorithm	NOUN
ajst-15583	95	36	model	model	NOUN
ajst-15583	95	37	to	to	PART
ajst-15583	95	38	predict	predict	VERB
ajst-15583	95	39	the	the	DET
ajst-15583	95	40	prognosis	prognosis	NOUN
ajst-15583	95	41	of	of	ADP
ajst-15583	95	42	gallbladder	gallbladder	NOUN
ajst-15583	95	43	cancer	cancer	NOUN
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ajst-15583	96	2	oncol	oncol	ADJ
ajst-15583	96	3	.	.	PUNCT
ajst-15583	97	1	2023	2023	NUM
ajst-15583	97	2	may	may	PROPN
ajst-15583	97	3	10;13:1171837	10;13:1171837	NUM
ajst-15583	97	4	.	.	PUNCT
ajst-15583	97	5	doi	doi	NOUN
ajst-15583	97	6	:	:	PUNCT
ajst-15583	97	7	10.3389	10.3389	NUM
ajst-15583	97	8	/	/	SYM
ajst-15583	97	9	fonc.2023.1171837	fonc.2023.1171837	PROPN
ajst-15583	97	10	.	.	PUNCT
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ajst-15583	98	4	;	;	PUNCT
ajst-15583	98	5	pmcid	pmcid	ADJ
ajst-15583	98	6	:	:	PUNCT
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ajst-15583	98	8	.	.	PUNCT
ajst-15583	99	1	[	[	X
ajst-15583	99	2	14	14	NUM
ajst-15583	99	3	]	]	X
ajst-15583	99	4	li	li	PROPN
ajst-15583	99	5	l	l	PROPN
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ajst-15583	99	7	xu	xu	PROPN
ajst-15583	99	8	c	c	X
ajst-15583	99	9	,	,	PUNCT
ajst-15583	99	10	wu	wu	PROPN
ajst-15583	99	11	w	w	PROPN
ajst-15583	99	12	,	,	PUNCT
ajst-15583	99	13	et	et	PROPN
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ajst-15583	99	17	-	-	PUNCT
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ajst-15583	99	19	knowledge	knowledge	NOUN
ajst-15583	99	20	-	-	PUNCT
ajst-15583	99	21	grounded	ground	VERB
ajst-15583	99	22	dialogue	dialogue	NOUN
ajst-15583	99	23	generation[j	generation[j	NOUN
ajst-15583	99	24	]	]	PUNCT
ajst-15583	99	25	.	.	PUNCT
ajst-15583	100	1	advances	advance	NOUN
ajst-15583	100	2	in	in	ADP
ajst-15583	100	3	neural	neural	ADJ
ajst-15583	100	4	information	information	NOUN
ajst-15583	100	5	processing	processing	NOUN
ajst-15583	100	6	systems	system	NOUN
ajst-15583	100	7	,	,	PUNCT
ajst-15583	100	8	2020	2020	NUM
ajst-15583	100	9	,	,	PUNCT
ajst-15583	100	10	33	33	NUM
ajst-15583	100	11	:	:	SYM
ajst-15583	100	12	8475	8475	NUM
ajst-15583	100	13	-	-	SYM
ajst-15583	100	14	8485	8485	NUM
ajst-15583	100	15	.	.	PUNCT
ajst-15583	101	1	doi	doi	NOUN
ajst-15583	101	2	:	:	PUNCT
ajst-15583	101	3	https://doi.org/10.48550/arxiv.2008.12918	https://doi.org/10.48550/arxiv.2008.12918	PROPN
ajst-15583	101	4	[	[	X
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ajst-15583	101	6	]	]	X
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ajst-15583	101	8	,	,	PUNCT
ajst-15583	101	9	q.	q.	PROPN
ajst-15583	101	10	,	,	PUNCT
ajst-15583	101	11	che	che	PROPN
ajst-15583	101	12	,	,	PUNCT
ajst-15583	101	13	c.	c.	PROPN
ajst-15583	101	14	,	,	PUNCT
ajst-15583	101	15	hu	hu	PROPN
ajst-15583	101	16	,	,	PUNCT
ajst-15583	101	17	h.	h.	PROPN
ajst-15583	101	18	,	,	PUNCT
ajst-15583	101	19	zhao	zhao	PROPN
ajst-15583	101	20	,	,	PUNCT
ajst-15583	101	21	x.	x.	PROPN
ajst-15583	101	22	,	,	PUNCT
ajst-15583	101	23	&	&	CCONJ
ajst-15583	101	24	li	li	PROPN
ajst-15583	101	25	,	,	PUNCT
ajst-15583	101	26	s.	s.	PROPN
ajst-15583	101	27	(	(	PUNCT
ajst-15583	101	28	2023	2023	NUM
ajst-15583	101	29	)	)	PUNCT
ajst-15583	101	30	.	.	PUNCT
ajst-15583	102	1	a	a	DET
ajst-15583	102	2	comprehensive	comprehensive	ADJ
ajst-15583	102	3	study	study	NOUN
ajst-15583	102	4	on	on	ADP
ajst-15583	102	5	early	early	PROPN
ajst-15583	102	6	alzheimer	alzheimer	PROPN
ajst-15583	102	7	’s	’s	PART
ajst-15583	102	8	disease	disease	NOUN
ajst-15583	102	9	detection	detection	NOUN
ajst-15583	102	10	through	through	ADP
ajst-15583	102	11	advanced	advanced	ADJ
ajst-15583	102	12	machine	machine	NOUN
ajst-15583	102	13	learning	learn	VERB
ajst-15583	102	14	techniques	technique	NOUN
ajst-15583	102	15	on	on	ADP
ajst-15583	102	16	mri	mri	NOUN
ajst-15583	102	17	data	datum	NOUN
ajst-15583	102	18	.	.	PUNCT
ajst-15583	103	1	academic	academic	ADJ
ajst-15583	103	2	journal	journal	NOUN
ajst-15583	103	3	of	of	ADP
ajst-15583	103	4	science	science	NOUN
ajst-15583	103	5	and	and	CCONJ
ajst-15583	103	6	technology	technology	NOUN
ajst-15583	103	7	,	,	PUNCT
ajst-15583	103	8	8(1	8(1	NOUN
ajst-15583	103	9	)	)	PUNCT
ajst-15583	103	10	,	,	PUNCT
ajst-15583	103	11	281	281	NUM
ajst-15583	103	12	–	–	PUNCT
ajst-15583	103	13	285.doi	285.doi	NUM
ajst-15583	103	14	:	:	PUNCT
ajst-15583	103	15	10.1111	10.1111	NUM
ajst-15583	103	16	/	/	SYM
ajst-15583	103	17	jgs.18617	jgs.18617	PROPN
ajst-15583	104	1	[	[	X
ajst-15583	104	2	16	16	NUM
ajst-15583	104	3	]	]	X
ajst-15583	104	4	che	che	PROPN
ajst-15583	104	5	,	,	PUNCT
ajst-15583	104	6	c.	c.	PROPN
ajst-15583	104	7	,	,	PUNCT
ajst-15583	104	8	hu	hu	PROPN
ajst-15583	104	9	,	,	PUNCT
ajst-15583	104	10	h.	h.	PROPN
ajst-15583	104	11	,	,	PUNCT
ajst-15583	104	12	zhao	zhao	PROPN
ajst-15583	104	13	,	,	PUNCT
ajst-15583	104	14	x.	x.	PROPN
ajst-15583	104	15	,	,	PUNCT
ajst-15583	104	16	li	li	PROPN
ajst-15583	104	17	,	,	PUNCT
ajst-15583	104	18	s.	s.	PROPN
ajst-15583	104	19	,	,	PUNCT
ajst-15583	104	20	&	&	CCONJ
ajst-15583	104	21	lin	lin	PROPN
ajst-15583	104	22	,	,	PUNCT
ajst-15583	104	23	q.	q.	PROPN
ajst-15583	104	24	(	(	PUNCT
ajst-15583	104	25	2023	2023	NUM
ajst-15583	104	26	)	)	PUNCT
ajst-15583	104	27	.	.	PUNCT
ajst-15583	105	1	advancing	advance	VERB
ajst-15583	105	2	cancer	cancer	NOUN
ajst-15583	105	3	document	document	NOUN
ajst-15583	105	4	classification	classification	NOUN
ajst-15583	105	5	with	with	ADP
ajst-15583	105	6	r	r	NOUN
ajst-15583	105	7	andom	andom	NOUN
ajst-15583	105	8	forest	forest	NOUN
ajst-15583	105	9	.	.	PUNCT
ajst-15583	106	1	academic	academic	ADJ
ajst-15583	106	2	journal	journal	NOUN
ajst-15583	106	3	of	of	ADP
ajst-15583	106	4	science	science	NOUN
ajst-15583	106	5	and	and	CCONJ
ajst-15583	106	6	technology	technology	NOUN
ajst-15583	106	7	,	,	PUNCT
ajst-15583	106	8	8(1	8(1	NOUN
ajst-15583	106	9	)	)	PUNCT
ajst-15583	106	10	,	,	PUNCT
ajst-15583	106	11	278–280	278–280	NUM
ajst-15583	106	12	.	.	PUNCT
ajst-15583	107	1	https://doi.org/10.54097/ajst.v8i1.14333	https://doi.org/10.54097/ajst.v8i1.14333	NOUN
ajst-15583	107	2	[	[	X
ajst-15583	107	3	17	17	NUM
ajst-15583	107	4	]	]	X
ajst-15583	107	5	zheng	zheng	PROPN
ajst-15583	107	6	yang	yang	PROPN
ajst-15583	107	7	,	,	PUNCT
ajst-15583	107	8	tien	tien	PROPN
ajst-15583	107	9	tuan	tuan	PROPN
ajst-15583	107	10	anh	anh	PROPN
ajst-15583	107	11	dinh	dinh	PROPN
ajst-15583	107	12	,	,	PUNCT
ajst-15583	107	13	chao	chao	PROPN
ajst-15583	107	14	yin	yin	PROPN
ajst-15583	107	15	,	,	PUNCT
ajst-15583	107	16	yingying	yingying	NOUN
ajst-15583	107	17	yao	yao	PROPN
ajst-15583	107	18	,	,	PUNCT
ajst-15583	107	19	dianshi	dianshi	PROPN
ajst-15583	107	20	yang	yang	PROPN
ajst-15583	107	21	,	,	PUNCT
ajst-15583	107	22	xiaolin	xiaolin	PROPN
ajst-15583	107	23	chang	chang	PROPN
ajst-15583	107	24	,	,	PUNCT
ajst-15583	107	25	and	and	CCONJ
ajst-15583	107	26	jianying	jianye	VERB
ajst-15583	107	27	zhou	zhou	PROPN
ajst-15583	107	28	.	.	PUNCT
ajst-15583	108	1	"	"	PUNCT
ajst-15583	108	2	larp	larp	NOUN
ajst-15583	108	3	:	:	PUNCT
ajst-15583	108	4	a	a	DET
ajst-15583	108	5	lightweight	lightweight	ADJ
ajst-15583	108	6	auto	auto	NOUN
ajst-15583	108	7	-	-	PUNCT
ajst-15583	108	8	refreshing	refreshing	ADJ
ajst-15583	108	9	pseudonym	pseudonym	NOUN
ajst-15583	108	10	protocol	protocol	NOUN
ajst-15583	108	11	for	for	ADP
ajst-15583	108	12	v2x	v2x	NOUN
ajst-15583	108	13	.	.	PUNCT
ajst-15583	108	14	"	"	PUNCT
ajst-15583	109	1	proceedings	proceeding	NOUN
ajst-15583	109	2	of	of	ADP
ajst-15583	109	3	the	the	DET
ajst-15583	109	4	27th	27th	ADJ
ajst-15583	109	5	acm	acm	NOUN
ajst-15583	109	6	on	on	ADP
ajst-15583	109	7	symposium	symposium	NOUN
ajst-15583	109	8	on	on	ADP
ajst-15583	109	9	access	access	NOUN
ajst-15583	109	10	control	control	NOUN
ajst-15583	109	11	models	model	NOUN
ajst-15583	109	12	and	and	CCONJ
ajst-15583	109	13	technologies	technology	NOUN
ajst-15583	109	14	,	,	PUNCT
ajst-15583	109	15	2022	2022	NUM
ajst-15583	109	16	,	,	PUNCT
ajst-15583	109	17	pp	pp	ADJ
ajst-15583	109	18	.	.	PUNCT
ajst-15583	110	1	49	49	NUM
ajst-15583	110	2	-	-	SYM
ajst-15583	110	3	60	60	NUM
ajst-15583	110	4	.	.	PUNCT
ajst-15583	111	1	doi	doi	NOUN
ajst-15583	111	2	:	:	PUNCT
ajst-15583	111	3	https://doi.org/10.1145/3532105.3535027	https://doi.org/10.1145/3532105.3535027	X
ajst-15583	112	1	[	[	X
ajst-15583	112	2	18	18	NUM
ajst-15583	112	3	]	]	X
ajst-15583	112	4	kwak	kwak	PROPN
ajst-15583	112	5	j	j	PROPN
ajst-15583	112	6	g	g	PROPN
ajst-15583	112	7	，	，	PROPN
ajst-15583	112	8	lee	lee	PROPN
ajst-15583	112	9	j.	j.	PROPN
ajst-15583	112	10	thermoresponsiveinvertedcolloidal	thermoresponsiveinvertedcolloidal	PROPN
ajst-15583	112	11	crystal	crystal	PROPN
ajst-15583	112	12	hydrogel	hydrogel	NOUN
ajst-15583	112	13	scaffolds	scaffold	VERB
ajst-15583	112	14	for	for	ADP
ajst-15583	112	15	lymphoid	lymphoid	NOUN
ajst-15583	112	16	tissueengineering	tissueengineere	VERB
ajst-15583	113	1	[	[	X
ajst-15583	113	2	j	j	X
ajst-15583	113	3	]	]	X
ajst-15583	113	4	.	.	PUNCT
ajst-15583	114	1	advanced	advanced	ADJ
ajst-15583	114	2	healthcare	healthcare	NOUN
ajst-15583	114	3	materials	material	NOUN
ajst-15583	114	4	,	,	PUNCT
ajst-15583	114	5	2020.9	2020.9	NUM
ajst-15583	114	6	(	(	PUNCT
ajst-15583	114	7	6	6	NUM
ajst-15583	114	8	):	):	PUNCT
ajst-15583	114	9	1901556:1	1901556:1	NOUN
ajst-15583	114	10	-	-	SYM
ajst-15583	114	11	9	9	NUM
ajst-15583	114	12	.	.	PUNCT
ajst-15583	115	1	[	[	X
ajst-15583	115	2	19	19	NUM
ajst-15583	115	3	]	]	X
ajst-15583	115	4	albert	albert	PROPN
ajst-15583	115	5	rbarabasi	rbarabasi	PROPN
ajst-15583	115	6	lstatistical	lstatistical	ADJ
ajst-15583	115	7	mechanicsof	mechanicsof	NOUN
ajst-15583	115	8	complex	complex	ADJ
ajst-15583	115	9	networks[j].reviews	networks[j].review	NOUN
ajst-15583	115	10	of	of	ADP
ajst-15583	115	11	modern	modern	ADJ
ajst-15583	115	12	physics,2002(74):47	physics,2002(74):47	NOUN
ajst-15583	115	13	-	-	PUNCT
ajst-15583	115	14	97	97	NUM
ajst-15583	115	15	.	.	PUNCT
ajst-15583	116	1	[	[	X
ajst-15583	116	2	20	20	NUM
ajst-15583	116	3	]	]	X
ajst-15583	116	4	girvan	girvan	PROPN
ajst-15583	116	5	m	m	PROPN
ajst-15583	116	6	,	,	PUNCT
ajst-15583	116	7	newman	newman	PROPN
ajst-15583	116	8	m	m	PROPN
ajst-15583	116	9	e	e	PROPN
ajst-15583	116	10	j.community	j.community	NOUN
ajst-15583	116	11	structure	structure	NOUN
ajst-15583	116	12	in	in	ADP
ajst-15583	116	13	social	social	ADJ
ajst-15583	116	14	and	and	CCONJ
ajst-15583	116	15	biological	biological	ADJ
ajst-15583	116	16	networks[j].proc	networks[j].proc	NOUN
ajst-15583	116	17	of	of	ADP
ajst-15583	116	18	the	the	DET
ajst-15583	116	19	national	national	PROPN
ajst-15583	116	20	academy	academy	PROPN
ajst-15583	116	21	of	of	ADP
ajst-15583	116	22	science,2002,9(12):7821	science,2002,9(12):7821	PROPN
ajst-15583	116	23	-	-	PUNCT
ajst-15583	116	24	7826	7826	NUM
ajst-15583	116	25	.	.	PUNCT