id	sid	tid	token	lemma	pos
ajst-12715	1	1	academic	academic	ADJ
ajst-12715	1	2	journal	journal	NOUN
ajst-12715	1	3	of	of	ADP
ajst-12715	1	4	science	science	NOUN
ajst-12715	1	5	and	and	CCONJ
ajst-12715	1	6	technology	technology	NOUN
ajst-12715	1	7	issn	issn	NOUN
ajst-12715	1	8	:	:	PUNCT
ajst-12715	1	9	2771	2771	NUM
ajst-12715	1	10	-	-	SYM
ajst-12715	1	11	3032	3032	NUM
ajst-12715	1	12	|	|	NOUN
ajst-12715	1	13	vol	vol	NOUN
ajst-12715	1	14	.	.	PROPN
ajst-12715	2	1	7	7	NUM
ajst-12715	2	2	,	,	PUNCT
ajst-12715	2	3	no	no	INTJ
ajst-12715	2	4	.	.	NOUN
ajst-12715	2	5	3	3	NUM
ajst-12715	2	6	,	,	PUNCT
ajst-12715	2	7	2023	2023	NUM
ajst-12715	2	8	40	40	NUM
ajst-12715	2	9	mff‐cner	mff‐cner	NUM
ajst-12715	2	10	:	:	PUNCT
ajst-12715	2	11	a	a	DET
ajst-12715	2	12	multi‐feature	multi‐feature	NOUN
ajst-12715	2	13	fusion	fusion	NOUN
ajst-12715	2	14	model	model	NOUN
ajst-12715	2	15	for	for	ADP
ajst-12715	2	16	chinese	chinese	PROPN
ajst-12715	2	17	named	name	VERB
ajst-12715	2	18	entity	entity	NOUN
ajst-12715	2	19	recognition	recognition	NOUN
ajst-12715	2	20	in	in	ADP
ajst-12715	2	21	finance	finance	NOUN
ajst-12715	2	22	securities	security	NOUN
ajst-12715	2	23	yueping	yuepe	VERB
ajst-12715	2	24	zhi1	zhi1	PROPN
ajst-12715	2	25	,	,	PUNCT
ajst-12715	2	26	xiangxing	xiangxe	VERB
ajst-12715	2	27	tao1	tao1	PROPN
ajst-12715	2	28	,	,	PUNCT
ajst-12715	2	29	yanting	yante	VERB
ajst-12715	2	30	ji1	ji1	NUM
ajst-12715	2	31	,	,	PUNCT
ajst-12715	2	32	*	*	SYM
ajst-12715	2	33	1	1	NUM
ajst-12715	2	34	department	department	NOUN
ajst-12715	2	35	of	of	ADP
ajst-12715	2	36	mathematics	mathematics	PROPN
ajst-12715	2	37	,	,	PUNCT
ajst-12715	2	38	zhejiang	zhejiang	PROPN
ajst-12715	2	39	university	university	PROPN
ajst-12715	2	40	of	of	ADP
ajst-12715	2	41	science	science	NOUN
ajst-12715	2	42	and	and	CCONJ
ajst-12715	2	43	technology	technology	NOUN
ajst-12715	2	44	,	,	PUNCT
ajst-12715	2	45	hangzhou	hangzhou	PROPN
ajst-12715	2	46	310023	310023	NUM
ajst-12715	2	47	,	,	PUNCT
ajst-12715	2	48	china	china	PROPN
ajst-12715	2	49	*	*	PUNCT
ajst-12715	2	50	corresponding	correspond	VERB
ajst-12715	2	51	author	author	NOUN
ajst-12715	2	52	:	:	PUNCT
ajst-12715	2	53	yanting	yante	VERB
ajst-12715	2	54	ji	ji	PROPN
ajst-12715	2	55	(	(	PUNCT
ajst-12715	2	56	email	email	NOUN
ajst-12715	2	57	:	:	PUNCT
ajst-12715	2	58	yypingzhi@gmail.com	yypingzhi@gmail.com	NOUN
ajst-12715	2	59	)	)	PUNCT
ajst-12715	2	60	abstract	abstract	NOUN
ajst-12715	2	61	:	:	PUNCT
ajst-12715	2	62	the	the	DET
ajst-12715	2	63	objective	objective	NOUN
ajst-12715	2	64	of	of	ADP
ajst-12715	2	65	chinese	chinese	ADJ
ajst-12715	2	66	financial	financial	ADJ
ajst-12715	2	67	securities	security	NOUN
ajst-12715	2	68	named	name	VERB
ajst-12715	2	69	entity	entity	NOUN
ajst-12715	2	70	recognition	recognition	NOUN
ajst-12715	2	71	is	be	AUX
ajst-12715	2	72	to	to	PART
ajst-12715	2	73	extract	extract	VERB
ajst-12715	2	74	relevant	relevant	ADJ
ajst-12715	2	75	entities	entity	NOUN
ajst-12715	2	76	from	from	ADP
ajst-12715	2	77	unstructured	unstructured	ADJ
ajst-12715	2	78	chinese	chinese	ADJ
ajst-12715	2	79	text	text	NOUN
ajst-12715	2	80	,	,	PUNCT
ajst-12715	2	81	such	such	ADJ
ajst-12715	2	82	as	as	ADP
ajst-12715	2	83	news	news	NOUN
ajst-12715	2	84	,	,	PUNCT
ajst-12715	2	85	announcements	announcement	NOUN
ajst-12715	2	86	,	,	PUNCT
ajst-12715	2	87	and	and	CCONJ
ajst-12715	2	88	research	research	NOUN
ajst-12715	2	89	reports	report	NOUN
ajst-12715	2	90	,	,	PUNCT
ajst-12715	2	91	that	that	PRON
ajst-12715	2	92	impact	impact	VERB
ajst-12715	2	93	security	security	NOUN
ajst-12715	2	94	prices	price	NOUN
ajst-12715	2	95	.	.	PUNCT
ajst-12715	3	1	recognizing	recognize	VERB
ajst-12715	3	2	entities	entity	NOUN
ajst-12715	3	3	in	in	ADP
ajst-12715	3	4	this	this	DET
ajst-12715	3	5	field	field	NOUN
ajst-12715	3	6	is	be	AUX
ajst-12715	3	7	challenging	challenge	VERB
ajst-12715	3	8	due	due	ADJ
ajst-12715	3	9	to	to	ADP
ajst-12715	3	10	the	the	DET
ajst-12715	3	11	abundance	abundance	NOUN
ajst-12715	3	12	of	of	ADP
ajst-12715	3	13	specialized	specialized	ADJ
ajst-12715	3	14	terms	term	NOUN
ajst-12715	3	15	,	,	PUNCT
ajst-12715	3	16	diverse	diverse	ADJ
ajst-12715	3	17	expressions	expression	NOUN
ajst-12715	3	18	,	,	PUNCT
ajst-12715	3	19	and	and	CCONJ
ajst-12715	3	20	the	the	DET
ajst-12715	3	21	limited	limited	ADJ
ajst-12715	3	22	feature	feature	NOUN
ajst-12715	3	23	extraction	extraction	NOUN
ajst-12715	3	24	capabilities	capability	NOUN
ajst-12715	3	25	of	of	ADP
ajst-12715	3	26	traditional	traditional	ADJ
ajst-12715	3	27	models	model	NOUN
ajst-12715	3	28	.	.	PUNCT
ajst-12715	4	1	to	to	PART
ajst-12715	4	2	address	address	VERB
ajst-12715	4	3	this	this	PRON
ajst-12715	4	4	,	,	PUNCT
ajst-12715	4	5	we	we	PRON
ajst-12715	4	6	propose	propose	VERB
ajst-12715	4	7	mff	mff	NOUN
ajst-12715	4	8	-	-	PUNCT
ajst-12715	4	9	cner	cner	NOUN
ajst-12715	4	10	,	,	PUNCT
ajst-12715	4	11	a	a	DET
ajst-12715	4	12	multi	multi	ADJ
ajst-12715	4	13	-	-	ADJ
ajst-12715	4	14	feature	feature	ADJ
ajst-12715	4	15	fusion	fusion	NOUN
ajst-12715	4	16	model	model	NOUN
ajst-12715	4	17	,	,	PUNCT
ajst-12715	4	18	to	to	PART
ajst-12715	4	19	improve	improve	VERB
ajst-12715	4	20	the	the	DET
ajst-12715	4	21	effectiveness	effectiveness	NOUN
ajst-12715	4	22	of	of	ADP
ajst-12715	4	23	chinese	chinese	ADJ
ajst-12715	4	24	financial	financial	ADJ
ajst-12715	4	25	securities	security	NOUN
ajst-12715	4	26	named	name	VERB
ajst-12715	4	27	entity	entity	NOUN
ajst-12715	4	28	recognition	recognition	NOUN
ajst-12715	4	29	.	.	PUNCT
ajst-12715	5	1	mff	mff	NOUN
ajst-12715	5	2	-	-	PUNCT
ajst-12715	5	3	cner	cner	NOUN
ajst-12715	5	4	encompasses	encompass	VERB
ajst-12715	5	5	several	several	ADJ
ajst-12715	5	6	key	key	ADJ
ajst-12715	5	7	steps	step	NOUN
ajst-12715	5	8	.	.	PUNCT
ajst-12715	6	1	firstly	firstly	ADV
ajst-12715	6	2	,	,	PUNCT
ajst-12715	6	3	it	it	PRON
ajst-12715	6	4	leverages	leverage	VERB
ajst-12715	6	5	a	a	DET
ajst-12715	6	6	bert	bert	ADJ
ajst-12715	6	7	pre	pre	ADJ
ajst-12715	6	8	-	-	ADJ
ajst-12715	6	9	training	training	ADJ
ajst-12715	6	10	model	model	NOUN
ajst-12715	6	11	to	to	PART
ajst-12715	6	12	capture	capture	VERB
ajst-12715	6	13	semantic	semantic	ADJ
ajst-12715	6	14	features	feature	NOUN
ajst-12715	6	15	at	at	ADP
ajst-12715	6	16	the	the	DET
ajst-12715	6	17	character	character	NOUN
ajst-12715	6	18	level	level	NOUN
ajst-12715	6	19	.	.	PUNCT
ajst-12715	7	1	secondly	secondly	ADV
ajst-12715	7	2	,	,	PUNCT
ajst-12715	7	3	a	a	DET
ajst-12715	7	4	bilstm	bilstm	NOUN
ajst-12715	7	5	network	network	NOUN
ajst-12715	7	6	is	be	AUX
ajst-12715	7	7	utilized	utilize	VERB
ajst-12715	7	8	to	to	PART
ajst-12715	7	9	capture	capture	VERB
ajst-12715	7	10	contextual	contextual	ADJ
ajst-12715	7	11	features	feature	NOUN
ajst-12715	7	12	specific	specific	ADJ
ajst-12715	7	13	to	to	ADP
ajst-12715	7	14	financial	financial	ADJ
ajst-12715	7	15	securities	security	NOUN
ajst-12715	7	16	text	text	NOUN
ajst-12715	7	17	.	.	PUNCT
ajst-12715	8	1	additionally	additionally	ADV
ajst-12715	8	2	,	,	PUNCT
ajst-12715	8	3	we	we	PRON
ajst-12715	8	4	introduce	introduce	VERB
ajst-12715	8	5	an	an	DET
ajst-12715	8	6	iterated	iterated	ADJ
ajst-12715	8	7	dilated	dilated	ADJ
ajst-12715	8	8	convolutional	convolutional	ADJ
ajst-12715	8	9	neural	neural	ADJ
ajst-12715	8	10	network	network	NOUN
ajst-12715	8	11	(	(	PUNCT
ajst-12715	8	12	idcnn	idcnn	ADJ
ajst-12715	8	13	)	)	PUNCT
ajst-12715	8	14	to	to	PART
ajst-12715	8	15	blend	blend	VERB
ajst-12715	8	16	,	,	PUNCT
ajst-12715	8	17	and	and	CCONJ
ajst-12715	8	18	extract	extract	VERB
ajst-12715	8	19	local	local	ADJ
ajst-12715	8	20	features	feature	NOUN
ajst-12715	8	21	,	,	PUNCT
ajst-12715	8	22	incorporating	incorporate	VERB
ajst-12715	8	23	an	an	DET
ajst-12715	8	24	attention	attention	NOUN
ajst-12715	8	25	mechanism	mechanism	NOUN
ajst-12715	8	26	for	for	ADP
ajst-12715	8	27	weighted	weight	VERB
ajst-12715	8	28	feature	feature	NOUN
ajst-12715	8	29	integration	integration	NOUN
ajst-12715	8	30	.	.	PUNCT
ajst-12715	9	1	finally	finally	ADV
ajst-12715	9	2	,	,	PUNCT
ajst-12715	9	3	the	the	DET
ajst-12715	9	4	predicted	predict	VERB
ajst-12715	9	5	sequences	sequence	NOUN
ajst-12715	9	6	are	be	AUX
ajst-12715	9	7	optimized	optimize	VERB
ajst-12715	9	8	,	,	PUNCT
ajst-12715	9	9	and	and	CCONJ
ajst-12715	9	10	decoded	decode	VERB
ajst-12715	9	11	using	use	VERB
ajst-12715	9	12	the	the	DET
ajst-12715	9	13	conditional	conditional	ADJ
ajst-12715	9	14	random	random	ADJ
ajst-12715	9	15	field	field	NOUN
ajst-12715	9	16	(	(	PUNCT
ajst-12715	9	17	crf	crf	NOUN
ajst-12715	9	18	)	)	PUNCT
ajst-12715	9	19	.	.	PUNCT
ajst-12715	10	1	to	to	PART
ajst-12715	10	2	validate	validate	VERB
ajst-12715	10	3	the	the	DET
ajst-12715	10	4	state	state	NOUN
ajst-12715	10	5	-	-	PUNCT
ajst-12715	10	6	of	of	ADP
ajst-12715	10	7	-	-	PUNCT
ajst-12715	10	8	the	the	DET
ajst-12715	10	9	-	-	PUNCT
ajst-12715	10	10	art	art	NOUN
ajst-12715	10	11	performance	performance	NOUN
ajst-12715	10	12	of	of	ADP
ajst-12715	10	13	mff	mff	NOUN
ajst-12715	10	14	-	-	PUNCT
ajst-12715	10	15	cner	cner	NOUN
ajst-12715	10	16	in	in	ADP
ajst-12715	10	17	this	this	DET
ajst-12715	10	18	domain	domain	NOUN
ajst-12715	10	19	,	,	PUNCT
ajst-12715	10	20	we	we	PRON
ajst-12715	10	21	compare	compare	VERB
ajst-12715	10	22	it	it	PRON
ajst-12715	10	23	with	with	ADP
ajst-12715	10	24	five	five	NUM
ajst-12715	10	25	popular	popular	ADJ
ajst-12715	10	26	methods	method	NOUN
ajst-12715	10	27	on	on	ADP
ajst-12715	10	28	a	a	DET
ajst-12715	10	29	chinese	chinese	ADJ
ajst-12715	10	30	financial	financial	ADJ
ajst-12715	10	31	securities	security	NOUN
ajst-12715	10	32	dataset	dataset	NOUN
ajst-12715	10	33	annotated	annotate	VERB
ajst-12715	10	34	with	with	ADP
ajst-12715	10	35	the	the	DET
ajst-12715	10	36	bio	bio	PROPN
ajst-12715	10	37	labeling	labeling	NOUN
ajst-12715	10	38	scheme	scheme	NOUN
ajst-12715	10	39	.	.	PUNCT
ajst-12715	11	1	notably	notably	ADV
ajst-12715	11	2	,	,	PUNCT
ajst-12715	11	3	mff	mff	NOUN
ajst-12715	11	4	-	-	PUNCT
ajst-12715	11	5	cner	cner	NOUN
ajst-12715	11	6	demonstrates	demonstrate	VERB
ajst-12715	11	7	superior	superior	ADJ
ajst-12715	11	8	performance	performance	NOUN
ajst-12715	11	9	while	while	SCONJ
ajst-12715	11	10	maintaining	maintain	VERB
ajst-12715	11	11	compatibility	compatibility	NOUN
ajst-12715	11	12	among	among	ADP
ajst-12715	11	13	its	its	PRON
ajst-12715	11	14	components	component	NOUN
ajst-12715	11	15	.	.	PUNCT
ajst-12715	12	1	furthermore	furthermore	ADV
ajst-12715	12	2	,	,	PUNCT
ajst-12715	12	3	we	we	PRON
ajst-12715	12	4	evaluate	evaluate	VERB
ajst-12715	12	5	the	the	DET
ajst-12715	12	6	applicability	applicability	NOUN
ajst-12715	12	7	of	of	ADP
ajst-12715	12	8	mff	mff	NOUN
ajst-12715	12	9	-	-	PUNCT
ajst-12715	12	10	cner	cner	NOUN
ajst-12715	12	11	in	in	ADP
ajst-12715	12	12	the	the	DET
ajst-12715	12	13	chinese	chinese	ADJ
ajst-12715	12	14	financial	financial	ADJ
ajst-12715	12	15	securities	security	NOUN
ajst-12715	12	16	domain	domain	NOUN
ajst-12715	12	17	by	by	ADP
ajst-12715	12	18	utilizing	utilize	VERB
ajst-12715	12	19	public	public	ADJ
ajst-12715	12	20	datasets	dataset	NOUN
ajst-12715	12	21	from	from	ADP
ajst-12715	12	22	diverse	diverse	ADJ
ajst-12715	12	23	domains	domain	NOUN
ajst-12715	12	24	,	,	PUNCT
ajst-12715	12	25	including	include	VERB
ajst-12715	12	26	social	social	ADJ
ajst-12715	12	27	media	medium	NOUN
ajst-12715	12	28	(	(	PUNCT
ajst-12715	12	29	weibo	weibo	PROPN
ajst-12715	12	30	)	)	PUNCT
ajst-12715	12	31	,	,	PUNCT
ajst-12715	12	32	and	and	CCONJ
ajst-12715	12	33	news	news	NOUN
ajst-12715	12	34	(	(	PUNCT
ajst-12715	12	35	msra	msra	PROPN
ajst-12715	12	36	)	)	PUNCT
ajst-12715	12	37	.	.	PUNCT
ajst-12715	13	1	this	this	DET
ajst-12715	13	2	research	research	NOUN
ajst-12715	13	3	holds	hold	VERB
ajst-12715	13	4	practical	practical	ADJ
ajst-12715	13	5	significance	significance	NOUN
ajst-12715	13	6	for	for	ADP
ajst-12715	13	7	downstream	downstream	ADJ
ajst-12715	13	8	applications	application	NOUN
ajst-12715	13	9	,	,	PUNCT
ajst-12715	13	10	such	such	ADJ
ajst-12715	13	11	as	as	ADP
ajst-12715	13	12	constructing	construct	VERB
ajst-12715	13	13	financial	financial	ADJ
ajst-12715	13	14	securities	security	NOUN
ajst-12715	13	15	knowledge	knowledge	NOUN
ajst-12715	13	16	graphs	graph	NOUN
ajst-12715	13	17	,	,	PUNCT
ajst-12715	13	18	and	and	CCONJ
ajst-12715	13	19	analyzing	analyze	VERB
ajst-12715	13	20	factors	factor	NOUN
ajst-12715	13	21	that	that	PRON
ajst-12715	13	22	influence	influence	VERB
ajst-12715	13	23	security	security	NOUN
ajst-12715	13	24	prices	price	NOUN
ajst-12715	13	25	.	.	PUNCT
ajst-12715	14	1	keywords	keyword	NOUN
ajst-12715	14	2	:	:	PUNCT
ajst-12715	14	3	chinese	chinese	PROPN
ajst-12715	14	4	named	name	VERB
ajst-12715	14	5	entity	entity	NOUN
ajst-12715	14	6	recognition	recognition	NOUN
ajst-12715	14	7	,	,	PUNCT
ajst-12715	14	8	financial	financial	ADJ
ajst-12715	14	9	securities	security	NOUN
ajst-12715	14	10	,	,	PUNCT
ajst-12715	14	11	multi	multi	ADJ
ajst-12715	14	12	-	-	ADJ
ajst-12715	14	13	feature	feature	ADJ
ajst-12715	14	14	fusion	fusion	NOUN
ajst-12715	14	15	,	,	PUNCT
ajst-12715	14	16	bert	bert	NOUN
ajst-12715	14	17	.	.	PUNCT
ajst-12715	15	1	1	1	X
ajst-12715	15	2	.	.	X
ajst-12715	15	3	introduction	introduction	NOUN
ajst-12715	15	4	identifying	identify	VERB
ajst-12715	15	5	entities	entity	NOUN
ajst-12715	15	6	with	with	ADP
ajst-12715	15	7	specific	specific	ADJ
ajst-12715	15	8	meanings	meaning	NOUN
ajst-12715	15	9	from	from	ADP
ajst-12715	15	10	unstructured	unstructured	ADJ
ajst-12715	15	11	natural	natural	ADJ
ajst-12715	15	12	language	language	NOUN
ajst-12715	15	13	text	text	NOUN
ajst-12715	15	14	,	,	PUNCT
ajst-12715	15	15	and	and	CCONJ
ajst-12715	15	16	classifying	classify	VERB
ajst-12715	15	17	them	they	PRON
ajst-12715	15	18	into	into	ADP
ajst-12715	15	19	predefined	predefined	ADJ
ajst-12715	15	20	categories	category	NOUN
ajst-12715	15	21	is	be	AUX
ajst-12715	15	22	a	a	DET
ajst-12715	15	23	critical	critical	ADJ
ajst-12715	15	24	task	task	NOUN
ajst-12715	15	25	in	in	ADP
ajst-12715	15	26	natural	natural	ADJ
ajst-12715	15	27	language	language	NOUN
ajst-12715	15	28	processing	processing	NOUN
ajst-12715	15	29	,	,	PUNCT
ajst-12715	15	30	commonly	commonly	ADV
ajst-12715	15	31	called	call	VERB
ajst-12715	15	32	named	name	VERB
ajst-12715	15	33	entity	entity	NOUN
ajst-12715	15	34	recognition	recognition	NOUN
ajst-12715	15	35	(	(	PUNCT
ajst-12715	15	36	ner	ner	NOUN
ajst-12715	15	37	)	)	PUNCT
ajst-12715	16	1	[	[	X
ajst-12715	16	2	1	1	NUM
ajst-12715	16	3	]	]	PUNCT
ajst-12715	16	4	.	.	PUNCT
ajst-12715	17	1	the	the	DET
ajst-12715	17	2	performance	performance	NOUN
ajst-12715	17	3	of	of	ADP
ajst-12715	17	4	ner	ner	NOUN
ajst-12715	17	5	models	model	NOUN
ajst-12715	17	6	has	have	VERB
ajst-12715	17	7	a	a	DET
ajst-12715	17	8	significant	significant	ADJ
ajst-12715	17	9	impact	impact	NOUN
ajst-12715	17	10	on	on	ADP
ajst-12715	17	11	various	various	ADJ
ajst-12715	17	12	downstream	downstream	ADJ
ajst-12715	17	13	tasks	task	NOUN
ajst-12715	17	14	,	,	PUNCT
ajst-12715	17	15	including	include	VERB
ajst-12715	17	16	q&a	q&a	PROPN
ajst-12715	17	17	systems	system	NOUN
ajst-12715	17	18	[	[	X
ajst-12715	17	19	2	2	NUM
ajst-12715	17	20	,	,	PUNCT
ajst-12715	17	21	3	3	NUM
ajst-12715	17	22	]	]	PUNCT
ajst-12715	17	23	,	,	PUNCT
ajst-12715	17	24	machine	machine	NOUN
ajst-12715	17	25	translation	translation	NOUN
ajst-12715	17	26	[	[	X
ajst-12715	17	27	4	4	NUM
ajst-12715	17	28	,	,	PUNCT
ajst-12715	17	29	5	5	NUM
ajst-12715	17	30	]	]	PUNCT
ajst-12715	17	31	,	,	PUNCT
ajst-12715	17	32	and	and	CCONJ
ajst-12715	17	33	knowledge	knowledge	NOUN
ajst-12715	17	34	graph	graph	NOUN
ajst-12715	17	35	construction	construction	NOUN
ajst-12715	17	36	[	[	X
ajst-12715	17	37	6	6	NUM
ajst-12715	17	38	,	,	PUNCT
ajst-12715	17	39	7	7	NUM
ajst-12715	17	40	]	]	PUNCT
ajst-12715	17	41	.	.	PUNCT
ajst-12715	18	1	however	however	ADV
ajst-12715	18	2	,	,	PUNCT
ajst-12715	18	3	most	most	ADJ
ajst-12715	18	4	current	current	ADJ
ajst-12715	18	5	ner	ner	NOUN
ajst-12715	18	6	research	research	NOUN
ajst-12715	18	7	focuses	focus	VERB
ajst-12715	18	8	on	on	ADP
ajst-12715	18	9	general	general	ADJ
ajst-12715	18	10	domains	domain	NOUN
ajst-12715	18	11	[	[	X
ajst-12715	18	12	8	8	NUM
ajst-12715	18	13	,	,	PUNCT
ajst-12715	18	14	9	9	NUM
ajst-12715	18	15	]	]	PUNCT
ajst-12715	18	16	,	,	PUNCT
ajst-12715	18	17	biomedical	biomedical	ADJ
ajst-12715	18	18	applications	application	NOUN
ajst-12715	18	19	[	[	X
ajst-12715	18	20	10	10	NUM
ajst-12715	18	21	]	]	PUNCT
ajst-12715	18	22	,	,	PUNCT
ajst-12715	18	23	clinical	clinical	ADJ
ajst-12715	18	24	records	record	NOUN
ajst-12715	19	1	[	[	X
ajst-12715	19	2	11	11	NUM
ajst-12715	19	3	]	]	PUNCT
ajst-12715	19	4	,	,	PUNCT
ajst-12715	19	5	material	material	NOUN
ajst-12715	19	6	science[12	science[12	NOUN
ajst-12715	19	7	]	]	PUNCT
ajst-12715	19	8	,	,	PUNCT
ajst-12715	19	9	,	,	PUNCT
ajst-12715	19	10	and	and	CCONJ
ajst-12715	19	11	other	other	ADJ
ajst-12715	19	12	fields	field	NOUN
ajst-12715	19	13	,	,	PUNCT
ajst-12715	19	14	while	while	SCONJ
ajst-12715	19	15	paying	pay	VERB
ajst-12715	19	16	little	little	ADJ
ajst-12715	19	17	attention	attention	NOUN
ajst-12715	19	18	to	to	ADP
ajst-12715	19	19	ner	ner	NOUN
ajst-12715	19	20	in	in	ADP
ajst-12715	19	21	the	the	DET
ajst-12715	19	22	context	context	NOUN
ajst-12715	19	23	of	of	ADP
ajst-12715	19	24	chinese	chinese	ADJ
ajst-12715	19	25	financial	financial	ADJ
ajst-12715	19	26	securities	security	NOUN
ajst-12715	19	27	.	.	PUNCT
ajst-12715	20	1	the	the	DET
ajst-12715	20	2	financial	financial	ADJ
ajst-12715	20	3	securities	security	NOUN
ajst-12715	20	4	domain	domain	NOUN
ajst-12715	20	5	is	be	AUX
ajst-12715	20	6	a	a	DET
ajst-12715	20	7	highly	highly	ADV
ajst-12715	20	8	specialized	specialized	ADJ
ajst-12715	20	9	field	field	NOUN
ajst-12715	20	10	where	where	SCONJ
ajst-12715	20	11	many	many	ADJ
ajst-12715	20	12	vocabulary	vocabulary	ADJ
ajst-12715	20	13	terms	term	NOUN
ajst-12715	20	14	can	can	AUX
ajst-12715	20	15	not	not	PART
ajst-12715	20	16	be	be	AUX
ajst-12715	20	17	understood	understand	VERB
ajst-12715	20	18	solely	solely	ADV
ajst-12715	20	19	based	base	VERB
ajst-12715	20	20	on	on	ADP
ajst-12715	20	21	their	their	PRON
ajst-12715	20	22	literal	literal	ADJ
ajst-12715	20	23	meaning	meaning	NOUN
ajst-12715	20	24	.	.	PUNCT
ajst-12715	21	1	instead	instead	ADV
ajst-12715	21	2	,	,	PUNCT
ajst-12715	21	3	they	they	PRON
ajst-12715	21	4	require	require	VERB
ajst-12715	21	5	a	a	DET
ajst-12715	21	6	deep	deep	ADJ
ajst-12715	21	7	understanding	understanding	NOUN
ajst-12715	21	8	of	of	ADP
ajst-12715	21	9	the	the	DET
ajst-12715	21	10	financial	financial	ADJ
ajst-12715	21	11	background	background	NOUN
ajst-12715	21	12	,	,	PUNCT
ajst-12715	21	13	and	and	CCONJ
ajst-12715	21	14	context	context	VERB
ajst-12715	21	15	to	to	PART
ajst-12715	21	16	comprehend	comprehend	VERB
ajst-12715	21	17	their	their	PRON
ajst-12715	21	18	specific	specific	ADJ
ajst-12715	21	19	meanings	meaning	NOUN
ajst-12715	21	20	[	[	X
ajst-12715	21	21	13	13	NUM
ajst-12715	21	22	]	]	PUNCT
ajst-12715	21	23	.	.	PUNCT
ajst-12715	22	1	ner	ner	NOUN
ajst-12715	22	2	in	in	ADP
ajst-12715	22	3	this	this	DET
ajst-12715	22	4	domain	domain	NOUN
ajst-12715	22	5	possesses	possess	VERB
ajst-12715	22	6	distinct	distinct	ADJ
ajst-12715	22	7	characteristics	characteristic	NOUN
ajst-12715	22	8	compared	compare	VERB
ajst-12715	22	9	to	to	ADP
ajst-12715	22	10	general	general	ADJ
ajst-12715	22	11	fields	field	NOUN
ajst-12715	22	12	.	.	PUNCT
ajst-12715	23	1	it	it	PRON
ajst-12715	23	2	involves	involve	VERB
ajst-12715	23	3	identifying	identify	VERB
ajst-12715	23	4	financial	financial	ADJ
ajst-12715	23	5	entities	entity	NOUN
ajst-12715	23	6	like	like	ADP
ajst-12715	23	7	company	company	NOUN
ajst-12715	23	8	names	name	NOUN
ajst-12715	23	9	,	,	PUNCT
ajst-12715	23	10	stock	stock	NOUN
ajst-12715	23	11	names	name	NOUN
ajst-12715	23	12	,	,	PUNCT
ajst-12715	23	13	financial	financial	ADJ
ajst-12715	23	14	terminologies	terminology	NOUN
ajst-12715	23	15	,	,	PUNCT
ajst-12715	23	16	financial	financial	ADJ
ajst-12715	23	17	product	product	NOUN
ajst-12715	23	18	names	name	NOUN
ajst-12715	23	19	,	,	PUNCT
ajst-12715	23	20	various	various	ADJ
ajst-12715	23	21	abbreviations	abbreviation	NOUN
ajst-12715	23	22	,	,	PUNCT
ajst-12715	23	23	as	as	ADV
ajst-12715	23	24	well	well	ADV
ajst-12715	23	25	as	as	ADP
ajst-12715	23	26	general	general	ADJ
ajst-12715	23	27	entities	entity	NOUN
ajst-12715	23	28	such	such	ADJ
ajst-12715	23	29	as	as	ADP
ajst-12715	23	30	person	person	NOUN
ajst-12715	23	31	names	name	NOUN
ajst-12715	23	32	,	,	PUNCT
ajst-12715	23	33	place	place	NOUN
ajst-12715	23	34	names	name	NOUN
ajst-12715	23	35	,	,	PUNCT
ajst-12715	23	36	organizations	organization	NOUN
ajst-12715	23	37	,	,	PUNCT
ajst-12715	23	38	and	and	CCONJ
ajst-12715	23	39	time	time	NOUN
ajst-12715	23	40	.	.	PUNCT
ajst-12715	24	1	the	the	DET
ajst-12715	24	2	challenges	challenge	NOUN
ajst-12715	24	3	encountered	encounter	VERB
ajst-12715	24	4	in	in	ADP
ajst-12715	24	5	chinese	chinese	ADJ
ajst-12715	24	6	ner	ner	NOUN
ajst-12715	24	7	within	within	ADP
ajst-12715	24	8	the	the	DET
ajst-12715	24	9	financial	financial	ADJ
ajst-12715	24	10	securities	security	NOUN
ajst-12715	24	11	domain	domain	NOUN
ajst-12715	24	12	can	can	AUX
ajst-12715	24	13	be	be	AUX
ajst-12715	24	14	summarized	summarize	VERB
ajst-12715	24	15	as	as	SCONJ
ajst-12715	24	16	follows	follow	VERB
ajst-12715	24	17	:	:	PUNCT
ajst-12715	24	18	non	non	ADJ
ajst-12715	24	19	-	-	ADJ
ajst-12715	24	20	uniform	uniform	ADJ
ajst-12715	24	21	expression	expression	NOUN
ajst-12715	24	22	of	of	ADP
ajst-12715	24	23	financial	financial	ADJ
ajst-12715	24	24	entities	entity	NOUN
ajst-12715	24	25	:	:	PUNCT
ajst-12715	24	26	financial	financial	ADJ
ajst-12715	24	27	organizations	organization	NOUN
ajst-12715	24	28	often	often	ADV
ajst-12715	24	29	have	have	VERB
ajst-12715	24	30	multiple	multiple	ADJ
ajst-12715	24	31	expressions	expression	NOUN
ajst-12715	24	32	for	for	ADP
ajst-12715	24	33	their	their	PRON
ajst-12715	24	34	names	name	NOUN
ajst-12715	24	35	.	.	PUNCT
ajst-12715	25	1	for	for	ADP
ajst-12715	25	2	instance	instance	NOUN
ajst-12715	25	3	,	,	PUNCT
ajst-12715	25	4	“	"	PUNCT
ajst-12715	25	5	网易	网易	PROPN
ajst-12715	25	6	”	"	PUNCT
ajst-12715	25	7	(	(	PUNCT
ajst-12715	25	8	netease	netease	NOUN
ajst-12715	25	9	)	)	PUNCT
ajst-12715	25	10	is	be	AUX
ajst-12715	25	11	an	an	DET
ajst-12715	25	12	abbreviation	abbreviation	NOUN
ajst-12715	25	13	of	of	ADP
ajst-12715	25	14	“	"	PUNCT
ajst-12715	25	15	网易	网易	PROPN
ajst-12715	25	16	(	(	PUNCT
ajst-12715	25	17	杭州	杭州	NOUN
ajst-12715	25	18	)	)	PUNCT
ajst-12715	25	19	网络有限公司	网络有限公司	NOUN
ajst-12715	25	20	”	"	PUNCT
ajst-12715	25	21	(	(	PUNCT
ajst-12715	25	22	netease	netease	PROPN
ajst-12715	25	23	(	(	PUNCT
ajst-12715	25	24	hangzhou	hangzhou	PROPN
ajst-12715	25	25	)	)	PUNCT
ajst-12715	25	26	company	company	NOUN
ajst-12715	25	27	limited	limit	VERB
ajst-12715	25	28	)	)	PUNCT
ajst-12715	25	29	but	but	CCONJ
ajst-12715	25	30	is	be	AUX
ajst-12715	25	31	also	also	ADV
ajst-12715	25	32	known	know	VERB
ajst-12715	25	33	as	as	ADP
ajst-12715	25	34	“	"	PUNCT
ajst-12715	25	35	ntes	nte	NOUN
ajst-12715	25	36	”	"	PUNCT
ajst-12715	25	37	or	or	CCONJ
ajst-12715	25	38	even	even	ADV
ajst-12715	25	39	referred	refer	VERB
ajst-12715	25	40	to	to	ADP
ajst-12715	25	41	as	as	ADP
ajst-12715	25	42	“	"	PUNCT
ajst-12715	25	43	猪厂	猪厂	INTJ
ajst-12715	25	44	”	"	PUNCT
ajst-12715	25	45	(	(	PUNCT
ajst-12715	25	46	pig	pig	NOUN
ajst-12715	25	47	factory	factory	NOUN
ajst-12715	25	48	)	)	PUNCT
ajst-12715	25	49	on	on	ADP
ajst-12715	25	50	the	the	DET
ajst-12715	25	51	internet	internet	NOUN
ajst-12715	25	52	.	.	PUNCT
ajst-12715	26	1	difficulty	difficulty	NOUN
ajst-12715	26	2	in	in	ADP
ajst-12715	26	3	recognizing	recognize	VERB
ajst-12715	26	4	financial	financial	ADJ
ajst-12715	26	5	terminologies	terminology	NOUN
ajst-12715	26	6	:	:	PUNCT
ajst-12715	26	7	financial	financial	ADJ
ajst-12715	26	8	texts	text	NOUN
ajst-12715	26	9	frequently	frequently	ADV
ajst-12715	26	10	contain	contain	VERB
ajst-12715	26	11	entity	entity	NOUN
ajst-12715	26	12	names	name	NOUN
ajst-12715	26	13	comprising	comprise	VERB
ajst-12715	26	14	a	a	DET
ajst-12715	26	15	mixture	mixture	NOUN
ajst-12715	26	16	of	of	ADP
ajst-12715	26	17	chinese	chinese	PROPN
ajst-12715	26	18	,	,	PUNCT
ajst-12715	26	19	english	english	ADJ
ajst-12715	26	20	,	,	PUNCT
ajst-12715	26	21	and	and	CCONJ
ajst-12715	26	22	numbers	number	NOUN
ajst-12715	26	23	.	.	PUNCT
ajst-12715	27	1	for	for	ADP
ajst-12715	27	2	example	example	NOUN
ajst-12715	27	3	,	,	PUNCT
ajst-12715	27	4	the	the	DET
ajst-12715	27	5	fund	fund	NOUN
ajst-12715	27	6	name	name	NOUN
ajst-12715	27	7	“	"	PUNCT
ajst-12715	27	8	易方达中概互联	易方达中概互联	PROPN
ajst-12715	27	9	50etf	50etf	NOUN
ajst-12715	27	10	”	"	PUNCT
ajst-12715	27	11	combines	combine	VERB
ajst-12715	27	12	different	different	ADJ
ajst-12715	27	13	languages	language	NOUN
ajst-12715	27	14	,	,	PUNCT
ajst-12715	27	15	and	and	CCONJ
ajst-12715	27	16	alphanumeric	alphanumeric	ADJ
ajst-12715	27	17	characters	character	NOUN
ajst-12715	27	18	.	.	PUNCT
ajst-12715	28	1	inadequate	inadequate	ADJ
ajst-12715	28	2	availability	availability	NOUN
ajst-12715	28	3	of	of	ADP
ajst-12715	28	4	well	well	ADV
ajst-12715	28	5	-	-	PUNCT
ajst-12715	28	6	annotated	annotate	VERB
ajst-12715	28	7	datasets	dataset	NOUN
ajst-12715	28	8	:	:	PUNCT
ajst-12715	28	9	the	the	DET
ajst-12715	28	10	scarcity	scarcity	NOUN
ajst-12715	28	11	of	of	ADP
ajst-12715	28	12	properly	properly	ADV
ajst-12715	28	13	annotated	annotate	VERB
ajst-12715	28	14	datasets	dataset	NOUN
ajst-12715	28	15	in	in	ADP
ajst-12715	28	16	the	the	DET
ajst-12715	28	17	financial	financial	ADJ
ajst-12715	28	18	securities	security	NOUN
ajst-12715	28	19	domain	domain	NOUN
ajst-12715	28	20	poses	pose	VERB
ajst-12715	28	21	challenges	challenge	NOUN
ajst-12715	28	22	,	,	PUNCT
ajst-12715	28	23	leading	lead	VERB
ajst-12715	28	24	to	to	ADP
ajst-12715	28	25	insufficient	insufficient	ADJ
ajst-12715	28	26	data	datum	NOUN
ajst-12715	28	27	support	support	NOUN
ajst-12715	28	28	for	for	ADP
ajst-12715	28	29	developing	develop	VERB
ajst-12715	28	30	fundamental	fundamental	ADJ
ajst-12715	28	31	text	text	NOUN
ajst-12715	28	32	processing	processing	NOUN
ajst-12715	28	33	technologies	technology	NOUN
ajst-12715	28	34	.	.	PUNCT
ajst-12715	29	1	with	with	ADP
ajst-12715	29	2	the	the	DET
ajst-12715	29	3	advancements	advancement	NOUN
ajst-12715	29	4	in	in	ADP
ajst-12715	29	5	deep	deep	ADJ
ajst-12715	29	6	learning	learning	NOUN
ajst-12715	29	7	technology	technology	NOUN
ajst-12715	29	8	,	,	PUNCT
ajst-12715	29	9	traditional	traditional	ADJ
ajst-12715	29	10	rule	rule	NOUN
ajst-12715	29	11	-	-	PUNCT
ajst-12715	29	12	based	base	VERB
ajst-12715	29	13	,	,	PUNCT
ajst-12715	29	14	and	and	CCONJ
ajst-12715	29	15	statistical	statistical	ADJ
ajst-12715	29	16	learning	learning	NOUN
ajst-12715	29	17	-	-	PUNCT
ajst-12715	29	18	based	base	VERB
ajst-12715	29	19	ner	ner	NOUN
ajst-12715	29	20	models	model	NOUN
ajst-12715	29	21	are	be	AUX
ajst-12715	29	22	being	be	AUX
ajst-12715	29	23	gradually	gradually	ADV
ajst-12715	29	24	replaced	replace	VERB
ajst-12715	29	25	by	by	ADP
ajst-12715	29	26	deep	deep	ADJ
ajst-12715	29	27	learning	learning	NOUN
ajst-12715	29	28	models	model	NOUN
ajst-12715	29	29	.	.	PUNCT
ajst-12715	30	1	the	the	DET
ajst-12715	30	2	current	current	ADJ
ajst-12715	30	3	mainstream	mainstream	ADJ
ajst-12715	30	4	neural	neural	ADJ
ajst-12715	30	5	networks	network	NOUN
ajst-12715	30	6	,	,	PUNCT
ajst-12715	30	7	and	and	CCONJ
ajst-12715	30	8	pre	pre	ADJ
ajst-12715	30	9	-	-	ADJ
ajst-12715	30	10	trained	train	VERB
ajst-12715	30	11	language	language	NOUN
ajst-12715	30	12	models	model	NOUN
ajst-12715	30	13	have	have	AUX
ajst-12715	30	14	demonstrated	demonstrate	VERB
ajst-12715	30	15	impressive	impressive	ADJ
ajst-12715	30	16	results	result	NOUN
ajst-12715	30	17	in	in	ADP
ajst-12715	30	18	ner	ner	NOUN
ajst-12715	30	19	research	research	NOUN
ajst-12715	30	20	across	across	ADP
ajst-12715	30	21	various	various	ADJ
ajst-12715	30	22	domains	domain	NOUN
ajst-12715	30	23	,	,	PUNCT
ajst-12715	30	24	including	include	VERB
ajst-12715	30	25	some	some	DET
ajst-12715	30	26	progress	progress	NOUN
ajst-12715	30	27	in	in	ADP
ajst-12715	30	28	ner	ner	NOUN
ajst-12715	30	29	tasks	task	NOUN
ajst-12715	30	30	within	within	ADP
ajst-12715	30	31	the	the	DET
ajst-12715	30	32	financial	financial	ADJ
ajst-12715	30	33	domain	domain	NOUN
ajst-12715	30	34	[	[	X
ajst-12715	30	35	14	14	NUM
ajst-12715	30	36	,	,	PUNCT
ajst-12715	30	37	15	15	NUM
ajst-12715	30	38	]	]	PUNCT
ajst-12715	30	39	.	.	PUNCT
ajst-12715	31	1	however	however	ADV
ajst-12715	31	2	,	,	PUNCT
ajst-12715	31	3	the	the	DET
ajst-12715	31	4	financial	financial	ADJ
ajst-12715	31	5	securities	security	NOUN
ajst-12715	31	6	domain	domain	NOUN
ajst-12715	31	7	presents	present	VERB
ajst-12715	31	8	specific	specific	ADJ
ajst-12715	31	9	challenges	challenge	NOUN
ajst-12715	31	10	,	,	PUNCT
ajst-12715	31	11	such	such	ADJ
ajst-12715	31	12	as	as	ADP
ajst-12715	31	13	dispersed	disperse	VERB
ajst-12715	31	14	content	content	NOUN
ajst-12715	31	15	,	,	PUNCT
ajst-12715	31	16	sparse	sparse	ADJ
ajst-12715	31	17	data	datum	NOUN
ajst-12715	31	18	,	,	PUNCT
ajst-12715	31	19	and	and	CCONJ
ajst-12715	31	20	the	the	DET
ajst-12715	31	21	lack	lack	NOUN
ajst-12715	31	22	of	of	ADP
ajst-12715	31	23	structured	structured	ADJ
ajst-12715	31	24	entities	entity	NOUN
ajst-12715	31	25	.	.	PUNCT
ajst-12715	32	1	these	these	DET
ajst-12715	32	2	challenges	challenge	NOUN
ajst-12715	32	3	make	make	VERB
ajst-12715	32	4	it	it	PRON
ajst-12715	32	5	difficult	difficult	ADJ
ajst-12715	32	6	to	to	PART
ajst-12715	32	7	directly	directly	ADV
ajst-12715	32	8	apply	apply	VERB
ajst-12715	32	9	existing	exist	VERB
ajst-12715	32	10	ner	ner	NOUN
ajst-12715	32	11	models	model	NOUN
ajst-12715	32	12	to	to	ADP
ajst-12715	32	13	chinese	chinese	ADJ
ajst-12715	32	14	ner	ner	NOUN
ajst-12715	32	15	in	in	ADP
ajst-12715	32	16	the	the	DET
ajst-12715	32	17	financial	financial	ADJ
ajst-12715	32	18	securities	security	NOUN
ajst-12715	32	19	domain	domain	NOUN
ajst-12715	32	20	.	.	PUNCT
ajst-12715	33	1	hence	hence	ADV
ajst-12715	33	2	,	,	PUNCT
ajst-12715	33	3	it	it	PRON
ajst-12715	33	4	becomes	become	VERB
ajst-12715	33	5	necessary	necessary	ADJ
ajst-12715	33	6	to	to	PART
ajst-12715	33	7	explore	explore	VERB
ajst-12715	33	8	novel	novel	ADJ
ajst-12715	33	9	approaches	approach	NOUN
ajst-12715	33	10	based	base	VERB
ajst-12715	33	11	on	on	ADP
ajst-12715	33	12	text	text	NOUN
ajst-12715	33	13	features	feature	NOUN
ajst-12715	33	14	.	.	PUNCT
ajst-12715	34	1	this	this	DET
ajst-12715	34	2	study	study	NOUN
ajst-12715	34	3	aims	aim	VERB
ajst-12715	34	4	to	to	PART
ajst-12715	34	5	tackle	tackle	VERB
ajst-12715	34	6	the	the	DET
ajst-12715	34	7	challenges	challenge	NOUN
ajst-12715	34	8	associated	associate	VERB
ajst-12715	34	9	with	with	ADP
ajst-12715	34	10	ner	ner	NOUN
ajst-12715	34	11	in	in	ADP
ajst-12715	34	12	the	the	DET
ajst-12715	34	13	chinese	chinese	ADJ
ajst-12715	34	14	financial	financial	ADJ
ajst-12715	34	15	securities	security	NOUN
ajst-12715	34	16	domain	domain	NOUN
ajst-12715	34	17	,	,	PUNCT
ajst-12715	34	18	catering	cater	VERB
ajst-12715	34	19	to	to	ADP
ajst-12715	34	20	the	the	DET
ajst-12715	34	21	requirements	requirement	NOUN
ajst-12715	34	22	of	of	ADP
ajst-12715	34	23	diverse	diverse	ADJ
ajst-12715	34	24	downstream	downstream	ADJ
ajst-12715	34	25	applications	application	NOUN
ajst-12715	34	26	.	.	PUNCT
ajst-12715	35	1	in	in	ADP
ajst-12715	35	2	light	light	NOUN
ajst-12715	35	3	of	of	ADP
ajst-12715	35	4	this	this	PRON
ajst-12715	35	5	,	,	PUNCT
ajst-12715	35	6	we	we	PRON
ajst-12715	35	7	introduce	introduce	VERB
ajst-12715	35	8	a	a	DET
ajst-12715	35	9	multi	multi	ADJ
ajst-12715	35	10	-	-	ADJ
ajst-12715	35	11	feature	feature	ADJ
ajst-12715	35	12	fusion	fusion	NOUN
ajst-12715	35	13	model	model	NOUN
ajst-12715	35	14	,	,	PUNCT
ajst-12715	35	15	mffcner	mffcner	NOUN
ajst-12715	35	16	,	,	PUNCT
ajst-12715	35	17	which	which	PRON
ajst-12715	35	18	effectively	effectively	ADV
ajst-12715	35	19	considers	consider	VERB
ajst-12715	35	20	the	the	DET
ajst-12715	35	21	specific	specific	ADJ
ajst-12715	35	22	characteristics	characteristic	NOUN
ajst-12715	35	23	of	of	ADP
ajst-12715	35	24	the	the	DET
ajst-12715	35	25	domain	domain	NOUN
ajst-12715	35	26	-	-	PUNCT
ajst-12715	35	27	specific	specific	ADJ
ajst-12715	35	28	text	text	NOUN
ajst-12715	35	29	.	.	PUNCT
ajst-12715	36	1	empirical	empirical	ADJ
ajst-12715	36	2	findings	finding	NOUN
ajst-12715	36	3	unequivocally	unequivocally	ADV
ajst-12715	36	4	demonstrate	demonstrate	VERB
ajst-12715	36	5	the	the	DET
ajst-12715	36	6	exceptional	exceptional	ADJ
ajst-12715	36	7	performance	performance	NOUN
ajst-12715	36	8	of	of	ADP
ajst-12715	36	9	this	this	DET
ajst-12715	36	10	hybrid	hybrid	ADJ
ajst-12715	36	11	feature	feature	NOUN
ajst-12715	36	12	model	model	NOUN
ajst-12715	36	13	,	,	PUNCT
ajst-12715	36	14	capable	capable	ADJ
ajst-12715	36	15	of	of	ADP
ajst-12715	36	16	extracting	extract	VERB
ajst-12715	36	17	information	information	NOUN
ajst-12715	36	18	at	at	ADP
ajst-12715	36	19	varying	vary	VERB
ajst-12715	36	20	levels	level	NOUN
ajst-12715	36	21	of	of	ADP
ajst-12715	36	22	granularity	granularity	NOUN
ajst-12715	36	23	,	,	PUNCT
ajst-12715	36	24	thereby	thereby	ADV
ajst-12715	36	25	establishing	establish	VERB
ajst-12715	36	26	its	its	PRON
ajst-12715	36	27	superiority	superiority	NOUN
ajst-12715	36	28	in	in	ADP
ajst-12715	36	29	the	the	DET
ajst-12715	36	30	field	field	NOUN
ajst-12715	36	31	.	.	PUNCT
ajst-12715	37	1	41	41	NUM
ajst-12715	37	2	this	this	DET
ajst-12715	37	3	paper	paper	NOUN
ajst-12715	37	4	makes	make	VERB
ajst-12715	37	5	the	the	DET
ajst-12715	37	6	following	follow	VERB
ajst-12715	37	7	contributions	contribution	NOUN
ajst-12715	37	8	:	:	PUNCT
ajst-12715	37	9	we	we	PRON
ajst-12715	37	10	propose	propose	VERB
ajst-12715	37	11	a	a	DET
ajst-12715	37	12	multi	multi	ADJ
ajst-12715	37	13	-	-	ADJ
ajst-12715	37	14	feature	feature	ADJ
ajst-12715	37	15	fusion	fusion	NOUN
ajst-12715	37	16	model	model	NOUN
ajst-12715	37	17	called	call	VERB
ajst-12715	37	18	mffcner	mffcner	NOUN
ajst-12715	37	19	based	base	VERB
ajst-12715	37	20	on	on	ADP
ajst-12715	37	21	the	the	DET
ajst-12715	37	22	traditional	traditional	ADJ
ajst-12715	37	23	bilstm	bilstm	NOUN
ajst-12715	37	24	-	-	PUNCT
ajst-12715	37	25	crf	crf	NOUN
ajst-12715	38	1	[	[	X
ajst-12715	38	2	16	16	NUM
ajst-12715	38	3	]	]	PUNCT
ajst-12715	38	4	model	model	NOUN
ajst-12715	38	5	,	,	PUNCT
ajst-12715	38	6	leveraging	leverage	VERB
ajst-12715	38	7	pre	pre	ADJ
ajst-12715	38	8	-	-	ADJ
ajst-12715	38	9	trained	train	VERB
ajst-12715	38	10	language	language	NOUN
ajst-12715	38	11	models	model	NOUN
ajst-12715	38	12	.	.	PUNCT
ajst-12715	39	1	the	the	DET
ajst-12715	39	2	mff	mff	NOUN
ajst-12715	39	3	-	-	PUNCT
ajst-12715	39	4	cner	cner	NOUN
ajst-12715	39	5	model	model	NOUN
ajst-12715	39	6	considers	consider	VERB
ajst-12715	39	7	the	the	DET
ajst-12715	39	8	text	text	NOUN
ajst-12715	39	9	features	feature	VERB
ajst-12715	39	10	,	,	PUNCT
ajst-12715	39	11	and	and	CCONJ
ajst-12715	39	12	entity	entity	NOUN
ajst-12715	39	13	recognition	recognition	NOUN
ajst-12715	39	14	challenges	challenge	VERB
ajst-12715	39	15	specific	specific	ADJ
ajst-12715	39	16	to	to	ADP
ajst-12715	39	17	the	the	DET
ajst-12715	39	18	financial	financial	ADJ
ajst-12715	39	19	securities	security	NOUN
ajst-12715	39	20	domain	domain	NOUN
ajst-12715	39	21	,	,	PUNCT
ajst-12715	39	22	enabling	enable	VERB
ajst-12715	39	23	the	the	DET
ajst-12715	39	24	extraction	extraction	NOUN
ajst-12715	39	25	of	of	ADP
ajst-12715	39	26	text	text	NOUN
ajst-12715	39	27	features	feature	NOUN
ajst-12715	39	28	at	at	ADP
ajst-12715	39	29	different	different	ADJ
ajst-12715	39	30	granularity	granularity	NOUN
ajst-12715	39	31	levels	level	NOUN
ajst-12715	39	32	,	,	PUNCT
ajst-12715	39	33	and	and	CCONJ
ajst-12715	39	34	improving	improve	VERB
ajst-12715	39	35	entity	entity	NOUN
ajst-12715	39	36	recognition	recognition	NOUN
ajst-12715	39	37	accuracy	accuracy	NOUN
ajst-12715	39	38	.	.	PUNCT
ajst-12715	40	1	moreover	moreover	ADV
ajst-12715	40	2	,	,	PUNCT
ajst-12715	40	3	the	the	DET
ajst-12715	40	4	components	component	NOUN
ajst-12715	40	5	of	of	ADP
ajst-12715	40	6	the	the	DET
ajst-12715	40	7	model	model	NOUN
ajst-12715	40	8	do	do	AUX
ajst-12715	40	9	not	not	PART
ajst-12715	40	10	conflict	conflict	VERB
ajst-12715	40	11	with	with	ADP
ajst-12715	40	12	each	each	DET
ajst-12715	40	13	other	other	ADJ
ajst-12715	40	14	.	.	PUNCT
ajst-12715	41	1	considering	consider	VERB
ajst-12715	41	2	the	the	DET
ajst-12715	41	3	lack	lack	NOUN
ajst-12715	41	4	of	of	ADP
ajst-12715	41	5	available	available	ADJ
ajst-12715	41	6	datasets	dataset	NOUN
ajst-12715	41	7	for	for	ADP
ajst-12715	41	8	the	the	DET
ajst-12715	41	9	financial	financial	ADJ
ajst-12715	41	10	securities	security	NOUN
ajst-12715	41	11	domain	domain	NOUN
ajst-12715	41	12	,	,	PUNCT
ajst-12715	41	13	we	we	PRON
ajst-12715	41	14	collected	collect	VERB
ajst-12715	41	15	financial	financial	ADJ
ajst-12715	41	16	securities	security	NOUN
ajst-12715	41	17	text	text	NOUN
ajst-12715	41	18	information	information	NOUN
ajst-12715	41	19	from	from	ADP
ajst-12715	41	20	multiple	multiple	ADJ
ajst-12715	41	21	sources	source	NOUN
ajst-12715	41	22	,	,	PUNCT
ajst-12715	41	23	and	and	CCONJ
ajst-12715	41	24	built	build	VERB
ajst-12715	41	25	a	a	DET
ajst-12715	41	26	domainspecific	domainspecific	ADJ
ajst-12715	41	27	dataset	dataset	NOUN
ajst-12715	41	28	using	use	VERB
ajst-12715	41	29	domain	domain	NOUN
ajst-12715	41	30	expertise	expertise	NOUN
ajst-12715	41	31	.	.	PUNCT
ajst-12715	42	1	we	we	PRON
ajst-12715	42	2	evaluated	evaluate	VERB
ajst-12715	42	3	the	the	DET
ajst-12715	42	4	performance	performance	NOUN
ajst-12715	42	5	of	of	ADP
ajst-12715	42	6	different	different	ADJ
ajst-12715	42	7	ner	ner	NOUN
ajst-12715	42	8	models	model	NOUN
ajst-12715	42	9	on	on	ADP
ajst-12715	42	10	this	this	DET
ajst-12715	42	11	dataset	dataset	NOUN
ajst-12715	42	12	.	.	PUNCT
ajst-12715	43	1	experimental	experimental	ADJ
ajst-12715	43	2	results	result	NOUN
ajst-12715	43	3	demonstrate	demonstrate	VERB
ajst-12715	43	4	that	that	SCONJ
ajst-12715	43	5	our	our	PRON
ajst-12715	43	6	model	model	NOUN
ajst-12715	43	7	achieves	achieve	VERB
ajst-12715	43	8	the	the	DET
ajst-12715	43	9	best	good	ADJ
ajst-12715	43	10	precision	precision	NOUN
ajst-12715	43	11	,	,	PUNCT
ajst-12715	43	12	recall	recall	NOUN
ajst-12715	43	13	,	,	PUNCT
ajst-12715	43	14	and	and	CCONJ
ajst-12715	43	15	f1	f1	NOUN
ajst-12715	43	16	score	score	NOUN
ajst-12715	43	17	on	on	ADP
ajst-12715	43	18	the	the	DET
ajst-12715	43	19	constructed	construct	VERB
ajst-12715	43	20	dataset	dataset	NOUN
ajst-12715	43	21	,	,	PUNCT
ajst-12715	43	22	with	with	ADP
ajst-12715	43	23	values	value	NOUN
ajst-12715	43	24	of	of	ADP
ajst-12715	43	25	88.35	88.35	NUM
ajst-12715	43	26	%	%	NOUN
ajst-12715	43	27	,	,	PUNCT
ajst-12715	43	28	89.88	89.88	NUM
ajst-12715	43	29	%	%	NOUN
ajst-12715	43	30	,	,	PUNCT
ajst-12715	43	31	and	and	CCONJ
ajst-12715	43	32	89.10	89.10	NUM
ajst-12715	43	33	%	%	NOUN
ajst-12715	43	34	,	,	PUNCT
ajst-12715	43	35	respectively	respectively	ADV
ajst-12715	43	36	.	.	PUNCT
ajst-12715	44	1	we	we	PRON
ajst-12715	44	2	validated	validate	VERB
ajst-12715	44	3	its	its	PRON
ajst-12715	44	4	applicability	applicability	NOUN
ajst-12715	44	5	in	in	ADP
ajst-12715	44	6	the	the	DET
ajst-12715	44	7	chinese	chinese	ADJ
ajst-12715	44	8	financial	financial	ADJ
ajst-12715	44	9	securities	security	NOUN
ajst-12715	44	10	domain	domain	NOUN
ajst-12715	44	11	by	by	ADP
ajst-12715	44	12	applying	apply	VERB
ajst-12715	44	13	the	the	DET
ajst-12715	44	14	mff	mff	NOUN
ajst-12715	44	15	-	-	PUNCT
ajst-12715	44	16	cner	cner	NOUN
ajst-12715	44	17	model	model	NOUN
ajst-12715	44	18	to	to	ADP
ajst-12715	44	19	publicly	publicly	ADV
ajst-12715	44	20	available	available	ADJ
ajst-12715	44	21	datasets	dataset	NOUN
ajst-12715	44	22	from	from	ADP
ajst-12715	44	23	different	different	ADJ
ajst-12715	44	24	domains	domain	NOUN
ajst-12715	44	25	.	.	PUNCT
ajst-12715	45	1	2	2	X
ajst-12715	45	2	.	.	NUM
ajst-12715	45	3	related	relate	VERB
ajst-12715	45	4	work	work	NOUN
ajst-12715	45	5	chinese	chinese	ADJ
ajst-12715	45	6	ner	ner	NOUN
ajst-12715	45	7	has	have	VERB
ajst-12715	45	8	broad	broad	ADJ
ajst-12715	45	9	application	application	NOUN
ajst-12715	45	10	prospects	prospect	NOUN
ajst-12715	45	11	,	,	PUNCT
ajst-12715	45	12	and	and	CCONJ
ajst-12715	45	13	many	many	ADJ
ajst-12715	45	14	scholars	scholar	NOUN
ajst-12715	45	15	have	have	AUX
ajst-12715	45	16	conducted	conduct	VERB
ajst-12715	45	17	related	related	ADJ
ajst-12715	45	18	research	research	NOUN
ajst-12715	45	19	.	.	PUNCT
ajst-12715	46	1	research	research	NOUN
ajst-12715	46	2	methods	method	NOUN
ajst-12715	46	3	mainly	mainly	ADV
ajst-12715	46	4	fall	fall	VERB
ajst-12715	46	5	into	into	ADP
ajst-12715	46	6	three	three	NUM
ajst-12715	46	7	categories	category	NOUN
ajst-12715	46	8	:	:	PUNCT
ajst-12715	46	9	rule	rule	NOUN
ajst-12715	46	10	-	-	PUNCT
ajst-12715	46	11	based	base	VERB
ajst-12715	46	12	methods	method	NOUN
ajst-12715	46	13	using	use	VERB
ajst-12715	46	14	dictionaries	dictionary	NOUN
ajst-12715	46	15	,	,	PUNCT
ajst-12715	46	16	and	and	CCONJ
ajst-12715	46	17	rules	rule	NOUN
ajst-12715	46	18	,	,	PUNCT
ajst-12715	46	19	statistical	statistical	ADJ
ajst-12715	46	20	machine	machine	NOUN
ajst-12715	46	21	learning	learning	NOUN
ajst-12715	46	22	,	,	PUNCT
ajst-12715	46	23	and	and	CCONJ
ajst-12715	46	24	deep	deep	ADJ
ajst-12715	46	25	learning	learning	NOUN
ajst-12715	46	26	methods	method	NOUN
ajst-12715	46	27	.	.	PUNCT
ajst-12715	47	1	at	at	ADP
ajst-12715	47	2	the	the	DET
ajst-12715	47	3	outset	outset	NOUN
ajst-12715	47	4	,	,	PUNCT
ajst-12715	47	5	ner	ner	NOUN
ajst-12715	47	6	assignments	assignment	NOUN
ajst-12715	47	7	were	be	AUX
ajst-12715	47	8	largely	largely	ADV
ajst-12715	47	9	dependent	dependent	ADJ
ajst-12715	47	10	on	on	ADP
ajst-12715	47	11	dictionaries	dictionary	NOUN
ajst-12715	47	12	that	that	PRON
ajst-12715	47	13	were	be	AUX
ajst-12715	47	14	created	create	VERB
ajst-12715	47	15	manually	manually	ADV
ajst-12715	47	16	,	,	PUNCT
ajst-12715	47	17	and	and	CCONJ
ajst-12715	47	18	customized	customize	VERB
ajst-12715	47	19	rulebased	rulebase	VERB
ajst-12715	47	20	techniques	technique	NOUN
ajst-12715	47	21	that	that	PRON
ajst-12715	47	22	had	have	VERB
ajst-12715	47	23	the	the	DET
ajst-12715	47	24	capability	capability	NOUN
ajst-12715	47	25	of	of	ADP
ajst-12715	47	26	assigning	assign	VERB
ajst-12715	47	27	pertinent	pertinent	ADJ
ajst-12715	47	28	knowledge	knowledge	NOUN
ajst-12715	47	29	bases	basis	NOUN
ajst-12715	47	30	to	to	ADP
ajst-12715	47	31	general	general	ADJ
ajst-12715	47	32	or	or	CCONJ
ajst-12715	47	33	specific	specific	ADJ
ajst-12715	47	34	domains	domain	NOUN
ajst-12715	47	35	,	,	PUNCT
ajst-12715	47	36	formulating	formulate	VERB
ajst-12715	47	37	rules	rule	NOUN
ajst-12715	47	38	on	on	ADP
ajst-12715	47	39	syntax	syntax	NOUN
ajst-12715	47	40	-	-	PUNCT
ajst-12715	47	41	lexical	lexical	ADJ
ajst-12715	47	42	templates	template	NOUN
ajst-12715	47	43	,	,	PUNCT
ajst-12715	47	44	and	and	CCONJ
ajst-12715	47	45	then	then	ADV
ajst-12715	47	46	scrutinizing	scrutinize	VERB
ajst-12715	47	47	texts	text	NOUN
ajst-12715	47	48	for	for	ADP
ajst-12715	47	49	strings	string	NOUN
ajst-12715	47	50	that	that	PRON
ajst-12715	47	51	satisfy	satisfy	VERB
ajst-12715	47	52	those	those	DET
ajst-12715	47	53	dictionaries	dictionary	NOUN
ajst-12715	47	54	,	,	PUNCT
ajst-12715	47	55	and	and	CCONJ
ajst-12715	47	56	rules	rule	VERB
ajst-12715	47	57	[	[	X
ajst-12715	47	58	13	13	NUM
ajst-12715	47	59	]	]	PUNCT
ajst-12715	47	60	.	.	PUNCT
ajst-12715	48	1	this	this	DET
ajst-12715	48	2	method	method	NOUN
ajst-12715	48	3	has	have	VERB
ajst-12715	48	4	high	high	ADJ
ajst-12715	48	5	accuracy	accuracy	NOUN
ajst-12715	48	6	but	but	CCONJ
ajst-12715	48	7	low	low	ADJ
ajst-12715	48	8	recall	recall	NOUN
ajst-12715	48	9	.	.	PUNCT
ajst-12715	49	1	it	it	PRON
ajst-12715	49	2	mainly	mainly	ADV
ajst-12715	49	3	depends	depend	VERB
ajst-12715	49	4	on	on	ADP
ajst-12715	49	5	domain	domain	NOUN
ajst-12715	49	6	experts	expert	NOUN
ajst-12715	49	7	constructing	construct	VERB
ajst-12715	49	8	rule	rule	NOUN
ajst-12715	49	9	templates	template	NOUN
ajst-12715	49	10	,	,	PUNCT
ajst-12715	49	11	which	which	PRON
ajst-12715	49	12	incurs	incur	VERB
ajst-12715	49	13	high	high	ADJ
ajst-12715	49	14	maintenance	maintenance	NOUN
ajst-12715	49	15	costs	cost	NOUN
ajst-12715	49	16	,	,	PUNCT
ajst-12715	49	17	and	and	CCONJ
ajst-12715	49	18	is	be	AUX
ajst-12715	49	19	unsuitable	unsuitable	ADJ
ajst-12715	49	20	for	for	ADP
ajst-12715	49	21	the	the	DET
ajst-12715	49	22	financial	financial	ADJ
ajst-12715	49	23	securities	security	NOUN
ajst-12715	49	24	domain	domain	NOUN
ajst-12715	49	25	's	's	PART
ajst-12715	49	26	large	large	ADJ
ajst-12715	49	27	amounts	amount	NOUN
ajst-12715	49	28	of	of	ADP
ajst-12715	49	29	data	datum	NOUN
ajst-12715	49	30	,	,	PUNCT
ajst-12715	49	31	and	and	CCONJ
ajst-12715	49	32	fast	fast	ADV
ajst-12715	49	33	updating	update	VERB
ajst-12715	49	34	speed	speed	NOUN
ajst-12715	49	35	.	.	PUNCT
ajst-12715	50	1	in	in	ADP
ajst-12715	50	2	general	general	ADJ
ajst-12715	50	3	domains	domain	NOUN
ajst-12715	50	4	,	,	PUNCT
ajst-12715	50	5	statistical	statistical	ADJ
ajst-12715	50	6	-	-	PUNCT
ajst-12715	50	7	based	base	VERB
ajst-12715	50	8	methods	method	NOUN
ajst-12715	50	9	have	have	AUX
ajst-12715	50	10	achieved	achieve	VERB
ajst-12715	50	11	remarkable	remarkable	ADJ
ajst-12715	50	12	results	result	NOUN
ajst-12715	50	13	in	in	ADP
ajst-12715	50	14	ner	ner	NOUN
ajst-12715	50	15	tasks	task	NOUN
ajst-12715	50	16	.	.	PUNCT
ajst-12715	51	1	therefore	therefore	ADV
ajst-12715	51	2	some	some	DET
ajst-12715	51	3	scholars	scholar	NOUN
ajst-12715	51	4	have	have	AUX
ajst-12715	51	5	applied	apply	VERB
ajst-12715	51	6	this	this	DET
ajst-12715	51	7	approach	approach	NOUN
ajst-12715	51	8	to	to	ADP
ajst-12715	51	9	ner	ner	NOUN
ajst-12715	51	10	tasks	task	NOUN
ajst-12715	51	11	in	in	ADP
ajst-12715	51	12	other	other	ADJ
ajst-12715	51	13	financial	financial	ADJ
ajst-12715	51	14	domains	domain	NOUN
ajst-12715	51	15	outside	outside	ADP
ajst-12715	51	16	the	the	DET
ajst-12715	51	17	securities	security	NOUN
ajst-12715	51	18	industry	industry	NOUN
ajst-12715	51	19	[	[	X
ajst-12715	51	20	17	17	NUM
ajst-12715	51	21	,	,	PUNCT
ajst-12715	51	22	18	18	NUM
ajst-12715	51	23	]	]	PUNCT
ajst-12715	51	24	.	.	PUNCT
ajst-12715	52	1	this	this	DET
ajst-12715	52	2	method	method	NOUN
ajst-12715	52	3	requires	require	VERB
ajst-12715	52	4	the	the	DET
ajst-12715	52	5	manual	manual	ADJ
ajst-12715	52	6	selection	selection	NOUN
ajst-12715	52	7	of	of	ADP
ajst-12715	52	8	text	text	NOUN
ajst-12715	52	9	features	feature	NOUN
ajst-12715	52	10	,	,	PUNCT
ajst-12715	52	11	which	which	PRON
ajst-12715	52	12	are	be	AUX
ajst-12715	52	13	then	then	ADV
ajst-12715	52	14	inputted	inputte	VERB
ajst-12715	52	15	into	into	ADP
ajst-12715	52	16	a	a	DET
ajst-12715	52	17	machine	machine	NOUN
ajst-12715	52	18	learning	learn	VERB
ajst-12715	52	19	algorithm	algorithm	NOUN
ajst-12715	52	20	.	.	PUNCT
ajst-12715	53	1	finally	finally	ADV
ajst-12715	53	2	,	,	PUNCT
ajst-12715	53	3	each	each	DET
ajst-12715	53	4	character	character	NOUN
ajst-12715	53	5	in	in	ADP
ajst-12715	53	6	the	the	DET
ajst-12715	53	7	sequence	sequence	NOUN
ajst-12715	53	8	is	be	AUX
ajst-12715	53	9	classified	classify	VERB
ajst-12715	53	10	according	accord	VERB
ajst-12715	53	11	to	to	ADP
ajst-12715	53	12	its	its	PRON
ajst-12715	53	13	corresponding	corresponding	ADJ
ajst-12715	53	14	label	label	NOUN
ajst-12715	53	15	.	.	PUNCT
ajst-12715	54	1	although	although	SCONJ
ajst-12715	54	2	it	it	PRON
ajst-12715	54	3	has	have	AUX
ajst-12715	54	4	improved	improve	VERB
ajst-12715	54	5	its	its	PRON
ajst-12715	54	6	effectiveness	effectiveness	NOUN
ajst-12715	54	7	compared	compare	VERB
ajst-12715	54	8	to	to	ADP
ajst-12715	54	9	previous	previous	ADJ
ajst-12715	54	10	methods	method	NOUN
ajst-12715	54	11	,	,	PUNCT
ajst-12715	54	12	it	it	PRON
ajst-12715	54	13	still	still	ADV
ajst-12715	54	14	requires	require	VERB
ajst-12715	54	15	significant	significant	ADJ
ajst-12715	54	16	feature	feature	NOUN
ajst-12715	54	17	engineering	engineering	NOUN
ajst-12715	54	18	,	,	PUNCT
ajst-12715	54	19	and	and	CCONJ
ajst-12715	54	20	involves	involve	VERB
ajst-12715	54	21	high	high	ADJ
ajst-12715	54	22	time	time	NOUN
ajst-12715	54	23	,	,	PUNCT
ajst-12715	54	24	and	and	CCONJ
ajst-12715	54	25	labor	labor	NOUN
ajst-12715	54	26	costs	cost	NOUN
ajst-12715	54	27	.	.	PUNCT
ajst-12715	55	1	currently	currently	ADV
ajst-12715	55	2	,	,	PUNCT
ajst-12715	55	3	in	in	ADP
ajst-12715	55	4	statistical	statistical	ADJ
ajst-12715	55	5	machine	machine	NOUN
ajst-12715	55	6	learning	learning	NOUN
ajst-12715	55	7	,	,	PUNCT
ajst-12715	55	8	only	only	ADV
ajst-12715	55	9	conditional	conditional	ADJ
ajst-12715	55	10	random	random	ADJ
ajst-12715	55	11	fields	field	NOUN
ajst-12715	55	12	(	(	PUNCT
ajst-12715	55	13	crf	crf	NOUN
ajst-12715	55	14	)	)	PUNCT
ajst-12715	55	15	are	be	AUX
ajst-12715	55	16	widely	widely	ADV
ajst-12715	55	17	used	use	VERB
ajst-12715	55	18	as	as	ADP
ajst-12715	55	19	decoders	decoder	NOUN
ajst-12715	55	20	in	in	ADP
ajst-12715	55	21	new	new	ADJ
ajst-12715	55	22	models	model	NOUN
ajst-12715	55	23	.	.	PUNCT
ajst-12715	56	1	deep	deep	ADJ
ajst-12715	56	2	learning	learning	NOUN
ajst-12715	56	3	techniques	technique	NOUN
ajst-12715	56	4	based	base	VERB
ajst-12715	56	5	on	on	ADP
ajst-12715	56	6	neural	neural	ADJ
ajst-12715	56	7	networks	network	NOUN
ajst-12715	56	8	have	have	AUX
ajst-12715	56	9	become	become	VERB
ajst-12715	56	10	the	the	DET
ajst-12715	56	11	dominant	dominant	ADJ
ajst-12715	56	12	approach	approach	NOUN
ajst-12715	56	13	for	for	ADP
ajst-12715	56	14	ner	ner	NOUN
ajst-12715	56	15	tasks	task	NOUN
ajst-12715	56	16	in	in	ADP
ajst-12715	56	17	modern	modern	ADJ
ajst-12715	56	18	times	time	NOUN
ajst-12715	56	19	,	,	PUNCT
ajst-12715	56	20	thanks	thank	NOUN
ajst-12715	56	21	to	to	ADP
ajst-12715	56	22	their	their	PRON
ajst-12715	56	23	strong	strong	ADJ
ajst-12715	56	24	feature	feature	NOUN
ajst-12715	56	25	extraction	extraction	NOUN
ajst-12715	56	26	capabilities	capability	NOUN
ajst-12715	56	27	.	.	PUNCT
ajst-12715	57	1	many	many	ADJ
ajst-12715	57	2	scholars	scholar	NOUN
ajst-12715	57	3	have	have	AUX
ajst-12715	57	4	studied	study	VERB
ajst-12715	57	5	its	its	PRON
ajst-12715	57	6	application	application	NOUN
ajst-12715	57	7	in	in	ADP
ajst-12715	57	8	the	the	DET
ajst-12715	57	9	financial	financial	ADJ
ajst-12715	57	10	domain	domain	NOUN
ajst-12715	57	11	.	.	PUNCT
ajst-12715	58	1	huang	huang	PROPN
ajst-12715	58	2	et	et	PROPN
ajst-12715	58	3	al	al	PROPN
ajst-12715	58	4	.	.	PUNCT
ajst-12715	59	1	[	[	X
ajst-12715	59	2	16	16	NUM
ajst-12715	59	3	]	]	PUNCT
ajst-12715	59	4	pioneered	pioneer	VERB
ajst-12715	59	5	in	in	ADP
ajst-12715	59	6	integrating	integrate	VERB
ajst-12715	59	7	bilstm	bilstm	NOUN
ajst-12715	59	8	,	,	PUNCT
ajst-12715	59	9	and	and	CCONJ
ajst-12715	59	10	crf	crf	NOUN
ajst-12715	59	11	models	model	NOUN
ajst-12715	59	12	for	for	ADP
ajst-12715	59	13	sequence	sequence	NOUN
ajst-12715	59	14	labeling	labeling	NOUN
ajst-12715	59	15	tasks	task	NOUN
ajst-12715	59	16	.	.	PUNCT
ajst-12715	60	1	bilstm	bilstm	NOUN
ajst-12715	60	2	can	can	AUX
ajst-12715	60	3	effectively	effectively	ADV
ajst-12715	60	4	capture	capture	VERB
ajst-12715	60	5	global	global	ADJ
ajst-12715	60	6	contextual	contextual	ADJ
ajst-12715	60	7	features	feature	NOUN
ajst-12715	60	8	,	,	PUNCT
ajst-12715	60	9	and	and	CCONJ
ajst-12715	60	10	crf	crf	PROPN
ajst-12715	60	11	can	can	AUX
ajst-12715	60	12	use	use	VERB
ajst-12715	60	13	sentence	sentence	NOUN
ajst-12715	60	14	-	-	PUNCT
ajst-12715	60	15	level	level	NOUN
ajst-12715	60	16	label	label	NOUN
ajst-12715	60	17	information	information	NOUN
ajst-12715	60	18	.	.	PUNCT
ajst-12715	61	1	it	it	PRON
ajst-12715	61	2	has	have	AUX
ajst-12715	61	3	been	be	AUX
ajst-12715	61	4	experimentally	experimentally	ADV
ajst-12715	61	5	verified	verify	VERB
ajst-12715	61	6	that	that	SCONJ
ajst-12715	61	7	this	this	DET
ajst-12715	61	8	model	model	NOUN
ajst-12715	61	9	achieved	achieve	VERB
ajst-12715	61	10	outstanding	outstanding	ADJ
ajst-12715	61	11	results	result	NOUN
ajst-12715	61	12	in	in	ADP
ajst-12715	61	13	ner	ner	NOUN
ajst-12715	61	14	tasks	task	NOUN
ajst-12715	61	15	,	,	PUNCT
ajst-12715	61	16	and	and	CCONJ
ajst-12715	61	17	has	have	AUX
ajst-12715	61	18	gradually	gradually	ADV
ajst-12715	61	19	become	become	VERB
ajst-12715	61	20	the	the	DET
ajst-12715	61	21	mainstream	mainstream	NOUN
ajst-12715	61	22	model	model	NOUN
ajst-12715	61	23	for	for	ADP
ajst-12715	61	24	such	such	ADJ
ajst-12715	61	25	tasks	task	NOUN
ajst-12715	61	26	.	.	PUNCT
ajst-12715	62	1	in	in	ADP
ajst-12715	62	2	order	order	NOUN
ajst-12715	62	3	to	to	PART
ajst-12715	62	4	address	address	VERB
ajst-12715	62	5	the	the	DET
ajst-12715	62	6	issue	issue	NOUN
ajst-12715	62	7	of	of	ADP
ajst-12715	62	8	inadequate	inadequate	ADJ
ajst-12715	62	9	labeled	label	VERB
ajst-12715	62	10	data	datum	NOUN
ajst-12715	62	11	in	in	ADP
ajst-12715	62	12	the	the	DET
ajst-12715	62	13	financial	financial	ADJ
ajst-12715	62	14	domain	domain	NOUN
ajst-12715	62	15	,	,	PUNCT
ajst-12715	62	16	liu	liu	PROPN
ajst-12715	62	17	et	et	PROPN
ajst-12715	62	18	al	al	PROPN
ajst-12715	62	19	.	.	PUNCT
ajst-12715	63	1	[	[	X
ajst-12715	63	2	14	14	NUM
ajst-12715	63	3	]	]	PUNCT
ajst-12715	63	4	put	put	VERB
ajst-12715	63	5	forward	forward	ADV
ajst-12715	63	6	a	a	DET
ajst-12715	63	7	semi	semi	ADJ
ajst-12715	63	8	-	-	ADJ
ajst-12715	63	9	supervised	supervised	ADJ
ajst-12715	63	10	model	model	NOUN
ajst-12715	63	11	that	that	PRON
ajst-12715	63	12	leverages	leverage	VERB
ajst-12715	63	13	bert	bert	NOUN
ajst-12715	63	14	,	,	PUNCT
ajst-12715	63	15	and	and	CCONJ
ajst-12715	63	16	bootstrapping	bootstrappe	VERB
ajst-12715	63	17	techniques	technique	NOUN
ajst-12715	63	18	.	.	PUNCT
ajst-12715	64	1	they	they	PRON
ajst-12715	64	2	utilized	utilize	VERB
ajst-12715	64	3	the	the	DET
ajst-12715	64	4	pretrained	pretraine	VERB
ajst-12715	64	5	bert	bert	PROPN
ajst-12715	64	6	model	model	NOUN
ajst-12715	64	7	to	to	PART
ajst-12715	64	8	generate	generate	VERB
ajst-12715	64	9	word	word	NOUN
ajst-12715	64	10	vectors	vector	NOUN
ajst-12715	64	11	that	that	PRON
ajst-12715	64	12	could	could	AUX
ajst-12715	64	13	capture	capture	VERB
ajst-12715	64	14	the	the	DET
ajst-12715	64	15	semantic	semantic	ADJ
ajst-12715	64	16	relationships	relationship	NOUN
ajst-12715	64	17	between	between	ADP
ajst-12715	64	18	words	word	NOUN
ajst-12715	64	19	,	,	PUNCT
ajst-12715	64	20	and	and	CCONJ
ajst-12715	64	21	employed	employ	VERB
ajst-12715	64	22	bilstm	bilstm	NOUN
ajst-12715	64	23	-	-	PUNCT
ajst-12715	64	24	crf	crf	NOUN
ajst-12715	64	25	as	as	ADP
ajst-12715	64	26	the	the	DET
ajst-12715	64	27	model	model	NOUN
ajst-12715	64	28	architecture	architecture	NOUN
ajst-12715	64	29	for	for	ADP
ajst-12715	64	30	training	train	VERB
ajst-12715	64	31	the	the	DET
ajst-12715	64	32	ner	ner	NOUN
ajst-12715	64	33	task	task	NOUN
ajst-12715	64	34	.	.	PUNCT
ajst-12715	65	1	the	the	DET
ajst-12715	65	2	addition	addition	NOUN
ajst-12715	65	3	of	of	ADP
ajst-12715	65	4	the	the	DET
ajst-12715	65	5	bootstrapping	bootstrappe	VERB
ajst-12715	65	6	method	method	NOUN
ajst-12715	65	7	further	far	ADV
ajst-12715	65	8	enhanced	enhance	VERB
ajst-12715	65	9	the	the	DET
ajst-12715	65	10	performance	performance	NOUN
ajst-12715	65	11	of	of	ADP
ajst-12715	65	12	the	the	DET
ajst-12715	65	13	model	model	NOUN
ajst-12715	65	14	,	,	PUNCT
ajst-12715	65	15	and	and	CCONJ
ajst-12715	65	16	the	the	DET
ajst-12715	65	17	experimental	experimental	ADJ
ajst-12715	65	18	results	result	NOUN
ajst-12715	65	19	indicated	indicate	VERB
ajst-12715	65	20	that	that	SCONJ
ajst-12715	65	21	the	the	DET
ajst-12715	65	22	bootstrapping	bootstrappe	VERB
ajst-12715	65	23	method	method	NOUN
ajst-12715	65	24	effectively	effectively	ADV
ajst-12715	65	25	identified	identify	VERB
ajst-12715	65	26	more	more	ADV
ajst-12715	65	27	hidden	hide	VERB
ajst-12715	65	28	entities	entity	NOUN
ajst-12715	65	29	in	in	ADP
ajst-12715	65	30	the	the	DET
ajst-12715	65	31	dataset	dataset	NOUN
ajst-12715	65	32	with	with	ADP
ajst-12715	65	33	inadequate	inadequate	ADJ
ajst-12715	65	34	labels	label	NOUN
ajst-12715	65	35	.	.	PUNCT
ajst-12715	66	1	moreover	moreover	ADV
ajst-12715	66	2	,	,	PUNCT
ajst-12715	66	3	the	the	DET
ajst-12715	66	4	f1	f1	ADJ
ajst-12715	66	5	score	score	NOUN
ajst-12715	66	6	of	of	ADP
ajst-12715	66	7	the	the	DET
ajst-12715	66	8	model	model	NOUN
ajst-12715	66	9	with	with	ADP
ajst-12715	66	10	bootstrapping	bootstrappe	VERB
ajst-12715	66	11	increased	increase	VERB
ajst-12715	66	12	by	by	ADP
ajst-12715	66	13	approximately	approximately	ADV
ajst-12715	66	14	0.03	0.03	NUM
ajst-12715	66	15	compared	compare	VERB
ajst-12715	66	16	to	to	ADP
ajst-12715	66	17	the	the	DET
ajst-12715	66	18	one	one	NOUN
ajst-12715	66	19	without	without	ADP
ajst-12715	66	20	it	it	PRON
ajst-12715	66	21	.	.	PUNCT
ajst-12715	67	1	liu	liu	PROPN
ajst-12715	67	2	et	et	PROPN
ajst-12715	67	3	al	al	PROPN
ajst-12715	67	4	.	.	PUNCT
ajst-12715	68	1	[	[	X
ajst-12715	68	2	15	15	NUM
ajst-12715	68	3	]	]	PUNCT
ajst-12715	68	4	proposed	propose	VERB
ajst-12715	68	5	an	an	DET
ajst-12715	68	6	entity	entity	NOUN
ajst-12715	68	7	recognition	recognition	NOUN
ajst-12715	68	8	method	method	NOUN
ajst-12715	68	9	in	in	ADP
ajst-12715	68	10	which	which	PRON
ajst-12715	68	11	the	the	DET
ajst-12715	68	12	input	input	NOUN
ajst-12715	68	13	consists	consist	VERB
ajst-12715	68	14	of	of	ADP
ajst-12715	68	15	combined	combined	ADJ
ajst-12715	68	16	character	character	NOUN
ajst-12715	68	17	vectors	vector	NOUN
ajst-12715	68	18	,	,	PUNCT
ajst-12715	68	19	and	and	CCONJ
ajst-12715	68	20	chinese	chinese	ADJ
ajst-12715	68	21	character	character	NOUN
ajst-12715	68	22	wubi	wubi	PROPN
ajst-12715	68	23	shape	shape	NOUN
ajst-12715	68	24	embeddings	embedding	NOUN
ajst-12715	68	25	.	.	PUNCT
ajst-12715	69	1	the	the	DET
ajst-12715	69	2	model	model	NOUN
ajst-12715	69	3	architecture	architecture	NOUN
ajst-12715	69	4	was	be	AUX
ajst-12715	69	5	bilstmcrf	bilstmcrf	NOUN
ajst-12715	69	6	,	,	PUNCT
ajst-12715	69	7	and	and	CCONJ
ajst-12715	69	8	the	the	DET
ajst-12715	69	9	authors	author	NOUN
ajst-12715	69	10	utilized	utilize	VERB
ajst-12715	69	11	an	an	DET
ajst-12715	69	12	iterative	iterative	NOUN
ajst-12715	69	13	learning	learning	NOUN
ajst-12715	69	14	strategy	strategy	NOUN
ajst-12715	69	15	by	by	ADP
ajst-12715	69	16	embedding	embed	VERB
ajst-12715	69	17	the	the	DET
ajst-12715	69	18	label	label	NOUN
ajst-12715	69	19	encoding	encoding	NOUN
ajst-12715	69	20	of	of	ADP
ajst-12715	69	21	the	the	DET
ajst-12715	69	22	sequence	sequence	NOUN
ajst-12715	69	23	trained	train	VERB
ajst-12715	69	24	in	in	ADP
ajst-12715	69	25	the	the	DET
ajst-12715	69	26	previous	previous	ADJ
ajst-12715	69	27	round	round	NOUN
ajst-12715	69	28	into	into	ADP
ajst-12715	69	29	the	the	DET
ajst-12715	69	30	input	input	NOUN
ajst-12715	69	31	of	of	ADP
ajst-12715	69	32	the	the	DET
ajst-12715	69	33	current	current	ADJ
ajst-12715	69	34	round	round	NOUN
ajst-12715	69	35	to	to	PART
ajst-12715	69	36	improve	improve	VERB
ajst-12715	69	37	the	the	DET
ajst-12715	69	38	model	model	NOUN
ajst-12715	69	39	's	's	PART
ajst-12715	69	40	prediction	prediction	NOUN
ajst-12715	69	41	results	result	VERB
ajst-12715	69	42	continually	continually	ADV
ajst-12715	69	43	.	.	PUNCT
ajst-12715	70	1	the	the	DET
ajst-12715	70	2	experiment	experiment	NOUN
ajst-12715	70	3	showed	show	VERB
ajst-12715	70	4	that	that	SCONJ
ajst-12715	70	5	this	this	DET
ajst-12715	70	6	approach	approach	NOUN
ajst-12715	70	7	improved	improve	VERB
ajst-12715	70	8	the	the	DET
ajst-12715	70	9	overall	overall	ADJ
ajst-12715	70	10	performance	performance	NOUN
ajst-12715	70	11	of	of	ADP
ajst-12715	70	12	the	the	DET
ajst-12715	70	13	model	model	NOUN
ajst-12715	70	14	.	.	PUNCT
ajst-12715	71	1	therefore	therefore	ADV
ajst-12715	71	2	,	,	PUNCT
ajst-12715	71	3	in	in	ADP
ajst-12715	71	4	chinese	chinese	ADJ
ajst-12715	71	5	ner	ner	NOUN
ajst-12715	71	6	in	in	ADP
ajst-12715	71	7	the	the	DET
ajst-12715	71	8	financial	financial	ADJ
ajst-12715	71	9	domain	domain	NOUN
ajst-12715	71	10	,	,	PUNCT
ajst-12715	71	11	bilstm	bilstm	NOUN
ajst-12715	71	12	-	-	PUNCT
ajst-12715	71	13	crf	crf	PROPN
ajst-12715	71	14	is	be	AUX
ajst-12715	71	15	still	still	ADV
ajst-12715	71	16	an	an	DET
ajst-12715	71	17	effective	effective	ADJ
ajst-12715	71	18	model	model	NOUN
ajst-12715	71	19	architecture	architecture	NOUN
ajst-12715	71	20	[	[	X
ajst-12715	71	21	13	13	NUM
ajst-12715	71	22	]	]	PUNCT
ajst-12715	71	23	.	.	PUNCT
ajst-12715	72	1	t.	t.	PROPN
ajst-12715	72	2	yang	yang	PROPN
ajst-12715	72	3	et	et	PROPN
ajst-12715	72	4	al	al	PROPN
ajst-12715	72	5	.	.	PUNCT
ajst-12715	73	1	[	[	X
ajst-12715	73	2	19	19	NUM
ajst-12715	73	3	]	]	PUNCT
ajst-12715	73	4	proposed	propose	VERB
ajst-12715	73	5	the	the	DET
ajst-12715	73	6	idcnn	idcnn	NOUN
ajst-12715	73	7	-	-	PUNCT
ajst-12715	73	8	bilstm	bilstm	NOUN
ajst-12715	73	9	-	-	PUNCT
ajst-12715	73	10	crf	crf	NOUN
ajst-12715	73	11	model	model	NOUN
ajst-12715	73	12	that	that	PRON
ajst-12715	73	13	combines	combine	VERB
ajst-12715	73	14	features	feature	NOUN
ajst-12715	73	15	from	from	ADP
ajst-12715	73	16	news	news	NOUN
ajst-12715	73	17	,	,	PUNCT
ajst-12715	73	18	and	and	CCONJ
ajst-12715	73	19	specialized	specialized	ADJ
ajst-12715	73	20	medical	medical	ADJ
ajst-12715	73	21	texts	text	NOUN
ajst-12715	73	22	to	to	PART
ajst-12715	73	23	capture	capture	VERB
ajst-12715	73	24	more	more	ADJ
ajst-12715	73	25	granular	granular	ADJ
ajst-12715	73	26	feature	feature	NOUN
ajst-12715	73	27	information	information	NOUN
ajst-12715	73	28	,	,	PUNCT
ajst-12715	73	29	achieving	achieve	VERB
ajst-12715	73	30	good	good	ADJ
ajst-12715	73	31	results	result	NOUN
ajst-12715	73	32	on	on	ADP
ajst-12715	73	33	a	a	DET
ajst-12715	73	34	specialized	specialized	ADJ
ajst-12715	73	35	dataset	dataset	NOUN
ajst-12715	73	36	.	.	PUNCT
ajst-12715	74	1	compared	compare	VERB
ajst-12715	74	2	to	to	ADP
ajst-12715	74	3	general	general	ADJ
ajst-12715	74	4	models	model	NOUN
ajst-12715	74	5	,	,	PUNCT
ajst-12715	74	6	idcnn	idcnn	ADP
ajst-12715	74	7	[	[	X
ajst-12715	74	8	20	20	NUM
ajst-12715	74	9	]	]	PUNCT
ajst-12715	74	10	has	have	VERB
ajst-12715	74	11	a	a	DET
ajst-12715	74	12	stronger	strong	ADJ
ajst-12715	74	13	local	local	ADJ
ajst-12715	74	14	feature	feature	NOUN
ajst-12715	74	15	extraction	extraction	NOUN
ajst-12715	74	16	ability	ability	NOUN
ajst-12715	74	17	without	without	ADP
ajst-12715	74	18	losing	lose	VERB
ajst-12715	74	19	information	information	NOUN
ajst-12715	74	20	through	through	ADP
ajst-12715	74	21	pooling	pool	VERB
ajst-12715	74	22	.	.	PUNCT
ajst-12715	75	1	recently	recently	ADV
ajst-12715	75	2	,	,	PUNCT
ajst-12715	75	3	the	the	DET
ajst-12715	75	4	bert	bert	NOUN
ajst-12715	75	5	-	-	PUNCT
ajst-12715	75	6	idcnn	idcnn	NOUN
ajst-12715	75	7	-	-	PUNCT
ajst-12715	75	8	bilstm	bilstm	NOUN
ajst-12715	75	9	-	-	PUNCT
ajst-12715	75	10	crf	crf	NOUN
ajst-12715	75	11	[	[	X
ajst-12715	75	12	21	21	NUM
ajst-12715	75	13	-	-	SYM
ajst-12715	75	14	23	23	NUM
ajst-12715	75	15	]	]	PUNCT
ajst-12715	75	16	multifeature	multifeature	NOUN
ajst-12715	75	17	extraction	extraction	NOUN
ajst-12715	75	18	method	method	NOUN
ajst-12715	75	19	has	have	AUX
ajst-12715	75	20	been	be	AUX
ajst-12715	75	21	applied	apply	VERB
ajst-12715	75	22	to	to	ADP
ajst-12715	75	23	multiple	multiple	ADJ
ajst-12715	75	24	domains	domain	NOUN
ajst-12715	75	25	,	,	PUNCT
ajst-12715	75	26	and	and	CCONJ
ajst-12715	75	27	has	have	AUX
ajst-12715	75	28	achieved	achieve	VERB
ajst-12715	75	29	excellent	excellent	ADJ
ajst-12715	75	30	results	result	NOUN
ajst-12715	75	31	.	.	PUNCT
ajst-12715	76	1	this	this	DET
ajst-12715	76	2	method	method	NOUN
ajst-12715	76	3	adds	add	VERB
ajst-12715	76	4	a	a	DET
ajst-12715	76	5	bert	bert	ADJ
ajst-12715	76	6	pre	pre	ADJ
ajst-12715	76	7	-	-	ADJ
ajst-12715	76	8	trained	train	VERB
ajst-12715	76	9	model	model	NOUN
ajst-12715	76	10	to	to	ADP
ajst-12715	76	11	the	the	DET
ajst-12715	76	12	idcnn	idcnn	NOUN
ajst-12715	76	13	-	-	PUNCT
ajst-12715	76	14	bilstm	bilstm	NOUN
ajst-12715	76	15	-	-	PUNCT
ajst-12715	76	16	crf	crf	NOUN
ajst-12715	76	17	model	model	NOUN
ajst-12715	76	18	to	to	PART
ajst-12715	76	19	obtain	obtain	VERB
ajst-12715	76	20	dynamic	dynamic	ADJ
ajst-12715	76	21	word	word	NOUN
ajst-12715	76	22	vectors	vector	NOUN
ajst-12715	76	23	,	,	PUNCT
ajst-12715	76	24	and	and	CCONJ
ajst-12715	76	25	capture	capture	VERB
ajst-12715	76	26	semantic	semantic	ADJ
ajst-12715	76	27	features	feature	NOUN
ajst-12715	76	28	.	.	PUNCT
ajst-12715	77	1	these	these	DET
ajst-12715	77	2	domain	domain	NOUN
ajst-12715	77	3	texts	text	NOUN
ajst-12715	77	4	have	have	VERB
ajst-12715	77	5	many	many	ADJ
ajst-12715	77	6	similar	similar	ADJ
ajst-12715	77	7	features	feature	NOUN
ajst-12715	77	8	to	to	ADP
ajst-12715	77	9	financial	financial	ADJ
ajst-12715	77	10	securities	security	NOUN
ajst-12715	77	11	texts	text	NOUN
ajst-12715	77	12	,	,	PUNCT
ajst-12715	77	13	providing	provide	VERB
ajst-12715	77	14	guiding	guiding	NOUN
ajst-12715	77	15	significance	significance	NOUN
ajst-12715	77	16	for	for	ADP
ajst-12715	77	17	entity	entity	NOUN
ajst-12715	77	18	extraction	extraction	NOUN
ajst-12715	77	19	in	in	ADP
ajst-12715	77	20	the	the	DET
ajst-12715	77	21	financial	financial	ADJ
ajst-12715	77	22	securities	security	NOUN
ajst-12715	77	23	domain	domain	NOUN
ajst-12715	77	24	.	.	PUNCT
ajst-12715	78	1	to	to	ADP
ajst-12715	78	2	our	our	PRON
ajst-12715	78	3	knowledge	knowledge	NOUN
ajst-12715	78	4	,	,	PUNCT
ajst-12715	78	5	research	research	NOUN
ajst-12715	78	6	on	on	ADP
ajst-12715	78	7	ner	ner	NOUN
ajst-12715	78	8	in	in	ADP
ajst-12715	78	9	chinese	chinese	ADJ
ajst-12715	78	10	financial	financial	ADJ
ajst-12715	78	11	securities	security	NOUN
ajst-12715	78	12	texts	text	NOUN
ajst-12715	78	13	is	be	AUX
ajst-12715	78	14	still	still	ADV
ajst-12715	78	15	lacking	lack	VERB
ajst-12715	78	16	.	.	PUNCT
ajst-12715	79	1	therefore	therefore	ADV
ajst-12715	79	2	,	,	PUNCT
ajst-12715	79	3	considering	consider	VERB
ajst-12715	79	4	the	the	DET
ajst-12715	79	5	features	feature	NOUN
ajst-12715	79	6	,	,	PUNCT
ajst-12715	79	7	and	and	CCONJ
ajst-12715	79	8	challenges	challenge	NOUN
ajst-12715	79	9	of	of	ADP
ajst-12715	79	10	chinese	chinese	ADJ
ajst-12715	79	11	financial	financial	ADJ
ajst-12715	79	12	securities	security	NOUN
ajst-12715	79	13	texts	text	NOUN
ajst-12715	79	14	,	,	PUNCT
ajst-12715	79	15	this	this	DET
ajst-12715	79	16	paper	paper	NOUN
ajst-12715	79	17	also	also	ADV
ajst-12715	79	18	attempts	attempt	VERB
ajst-12715	79	19	to	to	PART
ajst-12715	79	20	apply	apply	VERB
ajst-12715	79	21	this	this	DET
ajst-12715	79	22	multi	multi	ADJ
ajst-12715	79	23	-	-	ADJ
ajst-12715	79	24	granularity	granularity	NOUN
ajst-12715	79	25	feature	feature	NOUN
ajst-12715	79	26	extraction	extraction	NOUN
ajst-12715	79	27	method	method	NOUN
ajst-12715	79	28	to	to	ADP
ajst-12715	79	29	this	this	DET
ajst-12715	79	30	field	field	NOUN
ajst-12715	79	31	.	.	PUNCT
ajst-12715	80	1	3	3	X
ajst-12715	80	2	.	.	X
ajst-12715	80	3	method	method	NOUN
ajst-12715	80	4	this	this	DET
ajst-12715	80	5	section	section	NOUN
ajst-12715	80	6	describes	describe	VERB
ajst-12715	80	7	the	the	DET
ajst-12715	80	8	basic	basic	ADJ
ajst-12715	80	9	architecture	architecture	NOUN
ajst-12715	80	10	of	of	ADP
ajst-12715	80	11	our	our	PRON
ajst-12715	80	12	proposed	propose	VERB
ajst-12715	80	13	chinese	chinese	ADJ
ajst-12715	80	14	financial	financial	ADJ
ajst-12715	80	15	securities	securities	PROPN
ajst-12715	80	16	ner	ner	PROPN
ajst-12715	80	17	model	model	PROPN
ajst-12715	80	18	,	,	PUNCT
ajst-12715	80	19	mffcner	mffcner	NOUN
ajst-12715	80	20	.	.	PUNCT
ajst-12715	81	1	the	the	DET
ajst-12715	81	2	model	model	NOUN
ajst-12715	81	3	consists	consist	VERB
ajst-12715	81	4	of	of	ADP
ajst-12715	81	5	four	four	NUM
ajst-12715	81	6	layers	layer	NOUN
ajst-12715	81	7	:	:	PUNCT
ajst-12715	81	8	the	the	DET
ajst-12715	81	9	first	first	ADJ
ajst-12715	81	10	layer	layer	NOUN
ajst-12715	81	11	is	be	AUX
ajst-12715	81	12	the	the	DET
ajst-12715	81	13	bert	bert	ADJ
ajst-12715	81	14	pre	pre	ADJ
ajst-12715	81	15	-	-	ADJ
ajst-12715	81	16	training	training	ADJ
ajst-12715	81	17	layer	layer	NOUN
ajst-12715	81	18	,	,	PUNCT
ajst-12715	81	19	which	which	PRON
ajst-12715	81	20	trains	train	VERB
ajst-12715	81	21	the	the	DET
ajst-12715	81	22	model	model	NOUN
ajst-12715	81	23	in	in	ADP
ajst-12715	81	24	an	an	DET
ajst-12715	81	25	unsupervised	unsupervised	ADJ
ajst-12715	81	26	manner	manner	NOUN
ajst-12715	81	27	on	on	ADP
ajst-12715	81	28	a	a	DET
ajst-12715	81	29	large	large	ADJ
ajst-12715	81	30	-	-	PUNCT
ajst-12715	81	31	scale	scale	NOUN
ajst-12715	81	32	unlabeled	unlabele	VERB
ajst-12715	81	33	dataset	dataset	NOUN
ajst-12715	81	34	to	to	PART
ajst-12715	81	35	extract	extract	VERB
ajst-12715	81	36	rich	rich	ADJ
ajst-12715	81	37	syntactic	syntactic	NOUN
ajst-12715	81	38	,	,	PUNCT
ajst-12715	81	39	and	and	CCONJ
ajst-12715	81	40	semantic	semantic	ADJ
ajst-12715	81	41	features	feature	NOUN
ajst-12715	81	42	.	.	PUNCT
ajst-12715	82	1	this	this	DET
ajst-12715	82	2	layer	layer	NOUN
ajst-12715	82	3	produces	produce	VERB
ajst-12715	82	4	dynamic	dynamic	ADJ
ajst-12715	82	5	word	word	NOUN
ajst-12715	82	6	embeddings	embedding	NOUN
ajst-12715	82	7	with	with	ADP
ajst-12715	82	8	abundant	abundant	ADJ
ajst-12715	82	9	language	language	NOUN
ajst-12715	82	10	knowledge	knowledge	NOUN
ajst-12715	82	11	.	.	PUNCT
ajst-12715	83	1	the	the	DET
ajst-12715	83	2	second	second	ADJ
ajst-12715	83	3	layer	layer	NOUN
ajst-12715	83	4	is	be	AUX
ajst-12715	83	5	the	the	DET
ajst-12715	83	6	feature	feature	NOUN
ajst-12715	83	7	extraction	extraction	NOUN
ajst-12715	83	8	fusion	fusion	NOUN
ajst-12715	83	9	layer	layer	NOUN
ajst-12715	83	10	,	,	PUNCT
ajst-12715	83	11	which	which	PRON
ajst-12715	83	12	is	be	AUX
ajst-12715	83	13	responsible	responsible	ADJ
ajst-12715	83	14	for	for	ADP
ajst-12715	83	15	lower	low	ADJ
ajst-12715	83	16	-	-	PUNCT
ajst-12715	83	17	level	level	NOUN
ajst-12715	83	18	feature	feature	NOUN
ajst-12715	83	19	extraction	extraction	NOUN
ajst-12715	83	20	.	.	PUNCT
ajst-12715	84	1	it	it	PRON
ajst-12715	84	2	utilizes	utilize	VERB
ajst-12715	84	3	bilstm	bilstm	NOUN
ajst-12715	84	4	to	to	PART
ajst-12715	84	5	extract	extract	VERB
ajst-12715	84	6	sentence	sentence	NOUN
ajst-12715	84	7	-	-	PUNCT
ajst-12715	84	8	level	level	NOUN
ajst-12715	84	9	contextual	contextual	ADJ
ajst-12715	84	10	features	feature	NOUN
ajst-12715	84	11	,	,	PUNCT
ajst-12715	84	12	and	and	CCONJ
ajst-12715	84	13	then	then	ADV
ajst-12715	84	14	feeds	feed	VERB
ajst-12715	84	15	the	the	DET
ajst-12715	84	16	output	output	NOUN
ajst-12715	84	17	of	of	ADP
ajst-12715	84	18	bilstm	bilstm	NOUN
ajst-12715	84	19	into	into	ADP
ajst-12715	84	20	idcnn	idcnn	PROPN
ajst-12715	84	21	to	to	PART
ajst-12715	84	22	further	far	ADV
ajst-12715	84	23	extract	extract	VERB
ajst-12715	84	24	local	local	ADJ
ajst-12715	84	25	features	feature	NOUN
ajst-12715	84	26	.	.	PUNCT
ajst-12715	85	1	this	this	PRON
ajst-12715	85	2	facilitates	facilitate	VERB
ajst-12715	85	3	the	the	DET
ajst-12715	85	4	fusion	fusion	NOUN
ajst-12715	85	5	,	,	PUNCT
ajst-12715	85	6	and	and	CCONJ
ajst-12715	85	7	extraction	extraction	NOUN
ajst-12715	85	8	of	of	ADP
ajst-12715	85	9	features	feature	NOUN
ajst-12715	85	10	.	.	PUNCT
ajst-12715	86	1	the	the	DET
ajst-12715	86	2	third	third	ADJ
ajst-12715	86	3	layer	layer	NOUN
ajst-12715	86	4	is	be	AUX
ajst-12715	86	5	the	the	DET
ajst-12715	86	6	attention	attention	NOUN
ajst-12715	86	7	mechanism	mechanism	NOUN
ajst-12715	86	8	layer	layer	NOUN
ajst-12715	86	9	,	,	PUNCT
ajst-12715	86	10	where	where	SCONJ
ajst-12715	86	11	multi	multi	ADJ
ajst-12715	86	12	-	-	ADJ
ajst-12715	86	13	head	head	ADJ
ajst-12715	86	14	attention	attention	NOUN
ajst-12715	86	15	is	be	AUX
ajst-12715	86	16	employed	employ	VERB
ajst-12715	86	17	to	to	PART
ajst-12715	86	18	calculate	calculate	VERB
ajst-12715	86	19	the	the	DET
ajst-12715	86	20	weights	weight	NOUN
ajst-12715	86	21	of	of	ADP
ajst-12715	86	22	features	feature	NOUN
ajst-12715	86	23	,	,	PUNCT
ajst-12715	86	24	focusing	focus	VERB
ajst-12715	86	25	on	on	ADP
ajst-12715	86	26	the	the	DET
ajst-12715	86	27	ones	one	NOUN
ajst-12715	86	28	that	that	PRON
ajst-12715	86	29	play	play	VERB
ajst-12715	86	30	a	a	DET
ajst-12715	86	31	crucial	crucial	ADJ
ajst-12715	86	32	role	role	NOUN
ajst-12715	86	33	in	in	ADP
ajst-12715	86	34	classification	classification	NOUN
ajst-12715	86	35	.	.	PUNCT
ajst-12715	87	1	the	the	DET
ajst-12715	87	2	fourth	fourth	ADJ
ajst-12715	87	3	layer	layer	NOUN
ajst-12715	87	4	is	be	AUX
ajst-12715	87	5	the	the	DET
ajst-12715	87	6	feature	feature	NOUN
ajst-12715	87	7	decoding	decode	VERB
ajst-12715	87	8	layer	layer	NOUN
ajst-12715	87	9	,	,	PUNCT
ajst-12715	87	10	which	which	PRON
ajst-12715	87	11	utilizes	utilize	VERB
ajst-12715	87	12	a	a	DET
ajst-12715	87	13	crf	crf	NOUN
ajst-12715	87	14	model	model	NOUN
ajst-12715	87	15	to	to	PART
ajst-12715	87	16	decode	decode	VERB
ajst-12715	87	17	the	the	DET
ajst-12715	87	18	output	output	NOUN
ajst-12715	87	19	of	of	ADP
ajst-12715	87	20	attention	attention	NOUN
ajst-12715	87	21	,	,	PUNCT
ajst-12715	87	22	resulting	result	VERB
ajst-12715	87	23	in	in	ADP
ajst-12715	87	24	an	an	DET
ajst-12715	87	25	optimal	optimal	ADJ
ajst-12715	87	26	label	label	NOUN
ajst-12715	87	27	sequence	sequence	NOUN
ajst-12715	87	28	that	that	PRON
ajst-12715	87	29	captures	capture	VERB
ajst-12715	87	30	the	the	DET
ajst-12715	87	31	entities	entity	NOUN
ajst-12715	87	32	.	.	PUNCT
ajst-12715	88	1	the	the	DET
ajst-12715	88	2	chinese	chinese	ADJ
ajst-12715	88	3	financial	financial	ADJ
ajst-12715	88	4	securities	securities	PROPN
ajst-12715	88	5	ner	ner	NOUN
ajst-12715	88	6	model	model	NOUN
ajst-12715	88	7	is	be	AUX
ajst-12715	88	8	illustrated	illustrate	VERB
ajst-12715	88	9	in	in	ADP
ajst-12715	88	10	figure	figure	NOUN
ajst-12715	88	11	1	1	NUM
ajst-12715	88	12	.	.	X
ajst-12715	88	13	42	42	NUM
ajst-12715	88	14	figure	figure	NOUN
ajst-12715	88	15	1	1	NUM
ajst-12715	88	16	.	.	PUNCT
ajst-12715	88	17	framework	framework	NOUN
ajst-12715	88	18	of	of	ADP
ajst-12715	88	19	mff	mff	NOUN
ajst-12715	88	20	-	-	PUNCT
ajst-12715	88	21	cner	cner	NOUN
ajst-12715	88	22	.	.	PUNCT
ajst-12715	89	1	3.1	3.1	NUM
ajst-12715	89	2	.	.	PUNCT
ajst-12715	90	1	pre	pre	ADJ
ajst-12715	90	2	-	-	ADJ
ajst-12715	90	3	training	training	ADJ
ajst-12715	90	4	layer	layer	NOUN
ajst-12715	90	5	bert	bert	NOUN
ajst-12715	90	6	is	be	AUX
ajst-12715	90	7	a	a	DET
ajst-12715	90	8	deep	deep	ADJ
ajst-12715	90	9	,	,	PUNCT
ajst-12715	90	10	and	and	CCONJ
ajst-12715	90	11	bidirectional	bidirectional	ADJ
ajst-12715	90	12	language	language	NOUN
ajst-12715	90	13	representation	representation	NOUN
ajst-12715	90	14	model	model	NOUN
ajst-12715	90	15	that	that	PRON
ajst-12715	90	16	is	be	AUX
ajst-12715	90	17	unsupervised	unsupervised	ADJ
ajst-12715	90	18	,	,	PUNCT
ajst-12715	90	19	and	and	CCONJ
ajst-12715	90	20	utilized	utilize	VERB
ajst-12715	90	21	for	for	ADP
ajst-12715	90	22	pre	pre	ADJ
ajst-12715	90	23	-	-	NOUN
ajst-12715	90	24	training	training	ADJ
ajst-12715	90	25	[	[	X
ajst-12715	90	26	24	24	NUM
ajst-12715	90	27	]	]	PUNCT
ajst-12715	90	28	.	.	PUNCT
ajst-12715	91	1	conventional	conventional	ADJ
ajst-12715	91	2	approaches	approach	NOUN
ajst-12715	91	3	to	to	ADP
ajst-12715	91	4	word	word	NOUN
ajst-12715	91	5	embedding	embed	VERB
ajst-12715	91	6	,	,	PUNCT
ajst-12715	91	7	like	like	ADP
ajst-12715	91	8	word2vec	word2vec	X
ajst-12715	91	9	[	[	X
ajst-12715	91	10	25	25	NUM
ajst-12715	91	11	]	]	PUNCT
ajst-12715	91	12	,	,	PUNCT
ajst-12715	91	13	and	and	CCONJ
ajst-12715	91	14	glove	glove	NOUN
ajst-12715	92	1	[	[	X
ajst-12715	92	2	26	26	NUM
ajst-12715	92	3	]	]	PUNCT
ajst-12715	92	4	,	,	PUNCT
ajst-12715	92	5	have	have	VERB
ajst-12715	92	6	a	a	DET
ajst-12715	92	7	disadvantage	disadvantage	NOUN
ajst-12715	92	8	in	in	ADP
ajst-12715	92	9	that	that	DET
ajst-12715	92	10	identical	identical	ADJ
ajst-12715	92	11	words	word	NOUN
ajst-12715	92	12	in	in	ADP
ajst-12715	92	13	distinct	distinct	ADJ
ajst-12715	92	14	sentences	sentence	NOUN
ajst-12715	92	15	have	have	VERB
ajst-12715	92	16	identical	identical	ADJ
ajst-12715	92	17	embeddings	embedding	NOUN
ajst-12715	92	18	.	.	PUNCT
ajst-12715	93	1	however	however	ADV
ajst-12715	93	2	,	,	PUNCT
ajst-12715	93	3	bert	bert	PROPN
ajst-12715	93	4	can	can	AUX
ajst-12715	93	5	tackle	tackle	VERB
ajst-12715	93	6	this	this	DET
ajst-12715	93	7	problem	problem	NOUN
ajst-12715	93	8	.	.	PUNCT
ajst-12715	94	1	when	when	SCONJ
ajst-12715	94	2	compared	compare	VERB
ajst-12715	94	3	with	with	ADP
ajst-12715	94	4	other	other	ADJ
ajst-12715	94	5	pre	pre	ADJ
ajst-12715	94	6	-	-	ADJ
ajst-12715	94	7	training	training	ADJ
ajst-12715	94	8	language	language	NOUN
ajst-12715	94	9	models	model	NOUN
ajst-12715	94	10	like	like	ADP
ajst-12715	94	11	elmo	elmo	PROPN
ajst-12715	94	12	[	[	X
ajst-12715	94	13	27	27	NUM
ajst-12715	94	14	]	]	PUNCT
ajst-12715	94	15	,	,	PUNCT
ajst-12715	94	16	and	and	CCONJ
ajst-12715	94	17	gpt	gpt	X
ajst-12715	95	1	[	[	X
ajst-12715	95	2	28	28	NUM
ajst-12715	95	3	]	]	PUNCT
ajst-12715	95	4	,	,	PUNCT
ajst-12715	95	5	bert	bert	PROPN
ajst-12715	95	6	has	have	AUX
ajst-12715	95	7	attained	attain	VERB
ajst-12715	95	8	superior	superior	ADJ
ajst-12715	95	9	performance	performance	NOUN
ajst-12715	95	10	on	on	ADP
ajst-12715	95	11	nlp	nlp	ADJ
ajst-12715	95	12	tasks	task	NOUN
ajst-12715	95	13	[	[	X
ajst-12715	95	14	22	22	NUM
ajst-12715	95	15	]	]	PUNCT
ajst-12715	95	16	.	.	PUNCT
ajst-12715	96	1	the	the	DET
ajst-12715	96	2	structure	structure	NOUN
ajst-12715	96	3	of	of	ADP
ajst-12715	96	4	bert	bert	PROPN
ajst-12715	96	5	is	be	AUX
ajst-12715	96	6	shown	show	VERB
ajst-12715	96	7	in	in	ADP
ajst-12715	96	8	figure	figure	NOUN
ajst-12715	96	9	2	2	NUM
ajst-12715	96	10	,	,	PUNCT
ajst-12715	96	11	where	where	SCONJ
ajst-12715	96	12	e	e	NOUN
ajst-12715	96	13	、	、	NOUN
ajst-12715	96	14	e	e	NOUN
ajst-12715	96	15	、	、	NOUN
ajst-12715	96	16	…	…	SYM
ajst-12715	96	17	、	、	NOUN
ajst-12715	96	18	e	e	NOUN
ajst-12715	96	19	are	be	AUX
ajst-12715	96	20	the	the	DET
ajst-12715	96	21	encoding	encoding	NOUN
ajst-12715	96	22	representations	representation	NOUN
ajst-12715	96	23	of	of	ADP
ajst-12715	96	24	words	word	NOUN
ajst-12715	96	25	,	,	PUNCT
ajst-12715	96	26	and	and	CCONJ
ajst-12715	96	27	they	they	PRON
ajst-12715	96	28	are	be	AUX
ajst-12715	96	29	obtained	obtain	VERB
ajst-12715	96	30	by	by	ADP
ajst-12715	96	31	training	training	NOUN
ajst-12715	96	32	on	on	ADP
ajst-12715	96	33	a	a	DET
ajst-12715	96	34	vast	vast	ADJ
ajst-12715	96	35	quantity	quantity	NOUN
ajst-12715	96	36	of	of	ADP
ajst-12715	96	37	untagged	untagged	ADJ
ajst-12715	96	38	data	datum	NOUN
ajst-12715	96	39	to	to	PART
ajst-12715	96	40	derive	derive	VERB
ajst-12715	96	41	word	word	NOUN
ajst-12715	96	42	vector	vector	NOUN
ajst-12715	96	43	representations	representation	NOUN
ajst-12715	96	44	t	t	NOUN
ajst-12715	96	45	、	、	NOUN
ajst-12715	96	46	t	t	PROPN
ajst-12715	96	47	、	、	NOUN
ajst-12715	96	48	…	…	PUNCT
ajst-12715	96	49	、	、	NOUN
ajst-12715	96	50	t	t	NOUN
ajst-12715	96	51	.	.	PUNCT
ajst-12715	97	1	here	here	ADV
ajst-12715	97	2	,	,	PUNCT
ajst-12715	97	3	trm	trm	PROPN
ajst-12715	97	4	refers	refer	VERB
ajst-12715	97	5	to	to	ADP
ajst-12715	97	6	the	the	DET
ajst-12715	97	7	transformer	transformer	NOUN
ajst-12715	97	8	[	[	X
ajst-12715	97	9	29	29	NUM
ajst-12715	97	10	]	]	PUNCT
ajst-12715	97	11	structure	structure	NOUN
ajst-12715	97	12	.	.	PUNCT
ajst-12715	98	1	figure	figure	NOUN
ajst-12715	98	2	2	2	NUM
ajst-12715	98	3	.	.	PUNCT
ajst-12715	99	1	structure	structure	NOUN
ajst-12715	99	2	of	of	ADP
ajst-12715	99	3	the	the	DET
ajst-12715	99	4	bert	bert	PROPN
ajst-12715	99	5	model	model	NOUN
ajst-12715	99	6	.	.	PUNCT
ajst-12715	100	1	the	the	DET
ajst-12715	100	2	bert	bert	PROPN
ajst-12715	100	3	pre	pre	ADJ
ajst-12715	100	4	-	-	ADJ
ajst-12715	100	5	trained	train	VERB
ajst-12715	100	6	model	model	NOUN
ajst-12715	100	7	primarily	primarily	ADV
ajst-12715	100	8	consists	consist	VERB
ajst-12715	100	9	of	of	ADP
ajst-12715	100	10	a	a	DET
ajst-12715	100	11	bidirectional	bidirectional	ADJ
ajst-12715	100	12	transformer	transformer	NOUN
ajst-12715	100	13	architecture	architecture	NOUN
ajst-12715	100	14	.	.	PUNCT
ajst-12715	101	1	transformers	transformer	NOUN
ajst-12715	101	2	utilize	utilize	VERB
ajst-12715	101	3	multi	multi	ADJ
ajst-12715	101	4	-	-	ADJ
ajst-12715	101	5	head	head	ADJ
ajst-12715	101	6	attention	attention	NOUN
ajst-12715	101	7	mechanisms	mechanism	NOUN
ajst-12715	101	8	,	,	PUNCT
ajst-12715	101	9	which	which	PRON
ajst-12715	101	10	can	can	AUX
ajst-12715	101	11	capture	capture	VERB
ajst-12715	101	12	information	information	NOUN
ajst-12715	101	13	from	from	ADP
ajst-12715	101	14	multiple	multiple	ADJ
ajst-12715	101	15	dimensions	dimension	NOUN
ajst-12715	101	16	to	to	PART
ajst-12715	101	17	improve	improve	VERB
ajst-12715	101	18	the	the	DET
ajst-12715	101	19	representation	representation	NOUN
ajst-12715	101	20	ability	ability	NOUN
ajst-12715	101	21	of	of	ADP
ajst-12715	101	22	word	word	NOUN
ajst-12715	101	23	embeddings	embedding	NOUN
ajst-12715	101	24	.	.	PUNCT
ajst-12715	102	1	consequently	consequently	ADV
ajst-12715	102	2	,	,	PUNCT
ajst-12715	102	3	the	the	DET
ajst-12715	102	4	word	word	NOUN
ajst-12715	102	5	vectors	vector	NOUN
ajst-12715	102	6	generated	generate	VERB
ajst-12715	102	7	through	through	ADP
ajst-12715	102	8	bert	bert	NOUN
ajst-12715	102	9	training	training	NOUN
ajst-12715	102	10	are	be	AUX
ajst-12715	102	11	dynamic	dynamic	ADJ
ajst-12715	102	12	embeddings	embedding	NOUN
ajst-12715	102	13	that	that	PRON
ajst-12715	102	14	can	can	AUX
ajst-12715	102	15	capture	capture	VERB
ajst-12715	102	16	long	long	ADJ
ajst-12715	102	17	-	-	PUNCT
ajst-12715	102	18	range	range	NOUN
ajst-12715	102	19	sequential	sequential	ADJ
ajst-12715	102	20	features	feature	NOUN
ajst-12715	102	21	.	.	PUNCT
ajst-12715	103	1	as	as	SCONJ
ajst-12715	103	2	the	the	DET
ajst-12715	103	3	attention	attention	NOUN
ajst-12715	103	4	mechanism	mechanism	NOUN
ajst-12715	103	5	fails	fail	VERB
ajst-12715	103	6	to	to	PART
ajst-12715	103	7	capture	capture	VERB
ajst-12715	103	8	the	the	DET
ajst-12715	103	9	positional	positional	ADJ
ajst-12715	103	10	information	information	NOUN
ajst-12715	103	11	of	of	ADP
ajst-12715	103	12	words	word	NOUN
ajst-12715	103	13	,	,	PUNCT
ajst-12715	103	14	the	the	DET
ajst-12715	103	15	bert	bert	NOUN
ajst-12715	103	16	architecture	architecture	NOUN
ajst-12715	103	17	incorporates	incorporate	VERB
ajst-12715	103	18	token	token	ADJ
ajst-12715	103	19	embeddings	embedding	NOUN
ajst-12715	103	20	,	,	PUNCT
ajst-12715	103	21	segment	segment	NOUN
ajst-12715	103	22	embeddings	embedding	NOUN
ajst-12715	103	23	,	,	PUNCT
ajst-12715	103	24	and	and	CCONJ
ajst-12715	103	25	position	position	NOUN
ajst-12715	103	26	embeddings	embedding	NOUN
ajst-12715	103	27	in	in	ADP
ajst-12715	103	28	its	its	PRON
ajst-12715	103	29	input	input	NOUN
ajst-12715	103	30	.	.	PUNCT
ajst-12715	104	1	the	the	DET
ajst-12715	104	2	bert	bert	PROPN
ajst-12715	104	3	model	model	NOUN
ajst-12715	104	4	is	be	AUX
ajst-12715	104	5	trained	train	VERB
ajst-12715	104	6	through	through	ADP
ajst-12715	104	7	two	two	NUM
ajst-12715	104	8	tasks	task	NOUN
ajst-12715	104	9	in	in	ADP
ajst-12715	104	10	parallel	parallel	NOUN
ajst-12715	104	11	:	:	PUNCT
ajst-12715	104	12	masked	masked	ADJ
ajst-12715	104	13	language	language	NOUN
ajst-12715	104	14	model	model	NOUN
ajst-12715	104	15	(	(	PUNCT
ajst-12715	104	16	mlm	mlm	PROPN
ajst-12715	104	17	)	)	PUNCT
ajst-12715	104	18	,	,	PUNCT
ajst-12715	104	19	and	and	CCONJ
ajst-12715	104	20	next	next	ADJ
ajst-12715	104	21	sentence	sentence	NOUN
ajst-12715	104	22	prediction	prediction	NOUN
ajst-12715	104	23	(	(	PUNCT
ajst-12715	104	24	nsp	nsp	PROPN
ajst-12715	104	25	)	)	PUNCT
ajst-12715	104	26	.	.	PUNCT
ajst-12715	105	1	the	the	DET
ajst-12715	105	2	word	word	NOUN
ajst-12715	105	3	embeddings	embedding	NOUN
ajst-12715	105	4	can	can	AUX
ajst-12715	105	5	represent	represent	VERB
ajst-12715	105	6	various	various	ADJ
ajst-12715	105	7	character	character	NOUN
ajst-12715	105	8	-	-	PUNCT
ajst-12715	105	9	level	level	NOUN
ajst-12715	105	10	,	,	PUNCT
ajst-12715	105	11	word	word	NOUN
ajst-12715	105	12	-	-	PUNCT
ajst-12715	105	13	level	level	NOUN
ajst-12715	105	14	,	,	PUNCT
ajst-12715	105	15	sentence	sentence	NOUN
ajst-12715	105	16	-	-	PUNCT
ajst-12715	105	17	level	level	NOUN
ajst-12715	105	18	,	,	PUNCT
ajst-12715	105	19	and	and	CCONJ
ajst-12715	105	20	inter	inter	ADJ
ajst-12715	105	21	-	-	NOUN
ajst-12715	105	22	sentence	sentence	NOUN
ajst-12715	105	23	relations	relation	NOUN
ajst-12715	105	24	through	through	ADP
ajst-12715	105	25	this	this	DET
ajst-12715	105	26	learning	learning	NOUN
ajst-12715	105	27	paradigm	paradigm	NOUN
ajst-12715	105	28	.	.	PUNCT
ajst-12715	106	1	pre	pre	ADJ
ajst-12715	106	2	-	-	ADJ
ajst-12715	106	3	training	training	ADJ
ajst-12715	106	4	financial	financial	ADJ
ajst-12715	106	5	securities	security	NOUN
ajst-12715	106	6	text	text	NOUN
ajst-12715	106	7	using	use	VERB
ajst-12715	106	8	bert	bert	NOUN
ajst-12715	106	9	model	model	NOUN
ajst-12715	106	10	can	can	AUX
ajst-12715	106	11	provide	provide	VERB
ajst-12715	106	12	more	more	ADJ
ajst-12715	106	13	contextual	contextual	ADJ
ajst-12715	106	14	semantic	semantic	ADJ
ajst-12715	106	15	knowledge	knowledge	NOUN
ajst-12715	106	16	to	to	ADP
ajst-12715	106	17	word	word	NOUN
ajst-12715	106	18	embeddings	embedding	NOUN
ajst-12715	106	19	,	,	PUNCT
ajst-12715	106	20	which	which	PRON
ajst-12715	106	21	can	can	AUX
ajst-12715	106	22	be	be	AUX
ajst-12715	106	23	fed	feed	VERB
ajst-12715	106	24	into	into	ADP
ajst-12715	106	25	the	the	DET
ajst-12715	106	26	feature	feature	NOUN
ajst-12715	106	27	extraction	extraction	NOUN
ajst-12715	106	28	,	,	PUNCT
ajst-12715	106	29	and	and	CCONJ
ajst-12715	106	30	fusion	fusion	NOUN
ajst-12715	106	31	layer	layer	NOUN
ajst-12715	106	32	to	to	PART
ajst-12715	106	33	improve	improve	VERB
ajst-12715	106	34	the	the	DET
ajst-12715	106	35	feature	feature	NOUN
ajst-12715	106	36	extraction	extraction	NOUN
ajst-12715	106	37	performance	performance	NOUN
ajst-12715	106	38	by	by	ADP
ajst-12715	106	39	bilstm	bilstm	NOUN
ajst-12715	106	40	,	,	PUNCT
ajst-12715	106	41	and	and	CCONJ
ajst-12715	106	42	idcnn	idcnn	ADJ
ajst-12715	106	43	.	.	PROPN
ajst-12715	107	1	3.2	3.2	NUM
ajst-12715	107	2	.	.	PUNCT
ajst-12715	108	1	feature	feature	NOUN
ajst-12715	108	2	extraction	extraction	NOUN
ajst-12715	108	3	and	and	CCONJ
ajst-12715	108	4	fusion	fusion	NOUN
ajst-12715	108	5	layer	layer	NOUN
ajst-12715	108	6	3.2.1	3.2.1	NUM
ajst-12715	108	7	.	.	PUNCT
ajst-12715	109	1	bilstm	bilstm	NOUN
ajst-12715	109	2	layer	layer	NOUN
ajst-12715	109	3	the	the	DET
ajst-12715	109	4	bilstm	bilstm	NOUN
ajst-12715	109	5	consists	consist	VERB
ajst-12715	109	6	of	of	ADP
ajst-12715	109	7	two	two	NUM
ajst-12715	109	8	layers	layer	NOUN
ajst-12715	109	9	of	of	ADP
ajst-12715	109	10	lstm	lstm	NOUN
ajst-12715	109	11	in	in	ADP
ajst-12715	109	12	opposite	opposite	ADJ
ajst-12715	109	13	directions	direction	NOUN
ajst-12715	109	14	,	,	PUNCT
ajst-12715	109	15	,	,	PUNCT
ajst-12715	109	16	and	and	CCONJ
ajst-12715	109	17	its	its	PRON
ajst-12715	109	18	advantage	advantage	NOUN
ajst-12715	109	19	lies	lie	VERB
ajst-12715	109	20	in	in	ADP
ajst-12715	109	21	its	its	PRON
ajst-12715	109	22	ability	ability	NOUN
ajst-12715	109	23	to	to	PART
ajst-12715	109	24	capture	capture	VERB
ajst-12715	109	25	both	both	DET
ajst-12715	109	26	future	future	ADJ
ajst-12715	109	27	,	,	PUNCT
ajst-12715	109	28	and	and	CCONJ
ajst-12715	109	29	past	past	ADP
ajst-12715	109	30	information	information	NOUN
ajst-12715	109	31	.	.	PUNCT
ajst-12715	110	1	figure	figure	VERB
ajst-12715	110	2	3	3	NUM
ajst-12715	110	3	displays	display	VERB
ajst-12715	110	4	its	its	PRON
ajst-12715	110	5	configuration	configuration	NOUN
ajst-12715	110	6	.	.	PUNCT
ajst-12715	111	1	figure	figure	NOUN
ajst-12715	111	2	3	3	NUM
ajst-12715	111	3	.	.	PUNCT
ajst-12715	111	4	structure	structure	NOUN
ajst-12715	111	5	of	of	ADP
ajst-12715	111	6	bilstm	bilstm	NOUN
ajst-12715	111	7	model	model	NOUN
ajst-12715	111	8	.	.	PUNCT
ajst-12715	112	1	the	the	DET
ajst-12715	112	2	input	input	NOUN
ajst-12715	112	3	sequence	sequence	NOUN
ajst-12715	112	4	is	be	AUX
ajst-12715	112	5	denoted	denote	VERB
ajst-12715	112	6	as	as	ADP
ajst-12715	112	7	1	1	NUM
ajst-12715	112	8	2	2	NUM
ajst-12715	112	9	t	t	NOUN
ajst-12715	112	10	[	[	PUNCT
ajst-12715	112	11	,	,	PUNCT
ajst-12715	112	12	,	,	PUNCT
ajst-12715	112	13	...	...	PUNCT
ajst-12715	112	14	,	,	PUNCT
ajst-12715	112	15	]	]	PUNCT
ajst-12715	112	16	nt	not	PART
ajst-12715	112	17	t	t	VERB
ajst-12715	112	18	t	t	PROPN
ajst-12715	112	19	,	,	PUNCT
ajst-12715	112	20	which	which	PRON
ajst-12715	112	21	represents	represent	VERB
ajst-12715	112	22	the	the	DET
ajst-12715	112	23	output	output	NOUN
ajst-12715	112	24	of	of	ADP
ajst-12715	112	25	a	a	DET
ajst-12715	112	26	bert	bert	ADJ
ajst-12715	112	27	pre	pre	ADJ
ajst-12715	112	28	-	-	ADJ
ajst-12715	112	29	trained	train	VERB
ajst-12715	112	30	model	model	NOUN
ajst-12715	112	31	.	.	PUNCT
ajst-12715	113	1			ADJ
ajst-12715	113	2	1	1	NOUN
ajst-12715	113	3	2	2	NUM
ajst-12715	113	4	,	,	PUNCT
ajst-12715	113	5	,	,	PUNCT
ajst-12715	113	6	,	,	PUNCT
ajst-12715	113	7	nh	nh	PROPN
ajst-12715	113	8	h	h	PROPN
ajst-12715	113	9	h	h	PROPN
ajst-12715	113	10	h	h	PROPN
ajst-12715	113	11	�	�	PROPN
ajst-12715	113	12	represents	represent	VERB
ajst-12715	113	13	the	the	DET
ajst-12715	113	14	output	output	NOUN
ajst-12715	113	15	sequence	sequence	NOUN
ajst-12715	113	16	after	after	ADP
ajst-12715	113	17	passing	pass	VERB
ajst-12715	113	18	through	through	ADP
ajst-12715	113	19	a	a	DET
ajst-12715	113	20	bilstm	bilstm	NOUN
ajst-12715	113	21	model	model	NOUN
ajst-12715	113	22	,	,	PUNCT
ajst-12715	113	23	where	where	SCONJ
ajst-12715	113	24	n	n	PRON
ajst-12715	113	25	denotes	denote	VERB
ajst-12715	113	26	the	the	DET
ajst-12715	113	27	sequence	sequence	NOUN
ajst-12715	113	28	length	length	NOUN
ajst-12715	113	29	.	.	PUNCT
ajst-12715	114	1	in	in	ADP
ajst-12715	114	2	the	the	DET
ajst-12715	114	3	figure	figure	NOUN
ajst-12715	114	4	,	,	PUNCT
ajst-12715	114	5	tx	tx	PROPN
ajst-12715	114	6	represents	represent	VERB
ajst-12715	114	7	the	the	DET
ajst-12715	114	8	input	input	NOUN
ajst-12715	114	9	at	at	ADP
ajst-12715	114	10	time	time	NOUN
ajst-12715	114	11	step	step	PROPN
ajst-12715	114	12	t	t	PROPN
ajst-12715	114	13	,	,	PUNCT
ajst-12715	114	14	th	th	X
ajst-12715	114	15	represents	represent	VERB
ajst-12715	114	16	the	the	DET
ajst-12715	114	17	output	output	NOUN
ajst-12715	114	18	at	at	ADP
ajst-12715	114	19	time	time	NOUN
ajst-12715	114	20	step	step	PROPN
ajst-12715	114	21	t	t	NOUN
ajst-12715	114	22	,	,	PUNCT
ajst-12715	114	23	,	,	PUNCT
ajst-12715	114	24	and	and	CCONJ
ajst-12715	114	25	f	f	PROPN
ajst-12715	114	26	th	th	INTJ
ajst-12715	114	27	,	,	PUNCT
ajst-12715	114	28	b	b	X
ajst-12715	114	29	th	th	X
ajst-12715	114	30	denote	denote	VERB
ajst-12715	114	31	the	the	DET
ajst-12715	114	32	forward	forward	NOUN
ajst-12715	114	33	,	,	PUNCT
ajst-12715	114	34	and	and	CCONJ
ajst-12715	114	35	backward	backward	ADJ
ajst-12715	114	36	output	output	NOUN
ajst-12715	114	37	vectors	vector	NOUN
ajst-12715	114	38	of	of	ADP
ajst-12715	114	39	the	the	DET
ajst-12715	114	40	lstm	lstm	NOUN
ajst-12715	114	41	,	,	PUNCT
ajst-12715	114	42	respectively	respectively	ADV
ajst-12715	114	43	.	.	PUNCT
ajst-12715	115	1	furthermore	furthermore	ADV
ajst-12715	115	2	,	,	PUNCT
ajst-12715	115	3	equation	equation	NOUN
ajst-12715	115	4	(	(	PUNCT
ajst-12715	115	5	1	1	X
ajst-12715	115	6	)	)	PUNCT
ajst-12715	115	7	is	be	AUX
ajst-12715	115	8	defined	define	VERB
ajst-12715	115	9	as	as	ADP
ajst-12715	115	10	the	the	DET
ajst-12715	115	11	concatenation	concatenation	NOUN
ajst-12715	115	12	of	of	ADP
ajst-12715	115	13	the	the	DET
ajst-12715	115	14	two	two	NUM
ajst-12715	115	15	vectors	vector	NOUN
ajst-12715	115	16	along	along	ADP
ajst-12715	115	17	the	the	DET
ajst-12715	115	18	feature	feature	NOUN
ajst-12715	115	19	dimension	dimension	NOUN
ajst-12715	115	20	,	,	PUNCT
ajst-12715	115	21	where	where	SCONJ
ajst-12715	115	22			PROPN
ajst-12715	115	23	represents	represent	VERB
ajst-12715	115	24	this	this	DET
ajst-12715	115	25	operation	operation	NOUN
ajst-12715	115	26	.	.	PUNCT
ajst-12715	116	1	f	f	PROPN
ajst-12715	116	2	b	b	PROPN
ajst-12715	116	3	t	t	PROPN
ajst-12715	116	4	t	t	PROPN
ajst-12715	116	5	th	th	X
ajst-12715	116	6	h	h	NOUN
ajst-12715	116	7	h	h	NOUN
ajst-12715	116	8			ADJ
ajst-12715	116	9	.	.	PUNCT
ajst-12715	117	1	(	(	PUNCT
ajst-12715	117	2	1	1	X
ajst-12715	117	3	)	)	PUNCT
ajst-12715	117	4	the	the	DET
ajst-12715	117	5	basic	basic	ADJ
ajst-12715	117	6	building	building	NOUN
ajst-12715	117	7	block	block	NOUN
ajst-12715	117	8	of	of	ADP
ajst-12715	117	9	bilstm	bilstm	NOUN
ajst-12715	117	10	is	be	AUX
ajst-12715	117	11	lstm	lstm	ADJ
ajst-12715	117	12	,	,	PUNCT
ajst-12715	117	13	a	a	DET
ajst-12715	117	14	particular	particular	ADJ
ajst-12715	117	15	rnn	rnn	NOUN
ajst-12715	117	16	model	model	NOUN
ajst-12715	117	17	type	type	NOUN
ajst-12715	117	18	.	.	PUNCT
ajst-12715	118	1	the	the	DET
ajst-12715	118	2	model	model	NOUN
ajst-12715	118	3	employs	employ	VERB
ajst-12715	118	4	three	three	NUM
ajst-12715	118	5	gate	gate	NOUN
ajst-12715	118	6	controlling	control	VERB
ajst-12715	118	7	units	unit	NOUN
ajst-12715	118	8	,	,	PUNCT
ajst-12715	118	9	namely	namely	ADV
ajst-12715	118	10	the	the	DET
ajst-12715	118	11	input	input	NOUN
ajst-12715	118	12	gate	gate	NOUN
ajst-12715	118	13	,	,	PUNCT
ajst-12715	118	14	forget	forget	VERB
ajst-12715	118	15	gate	gate	NOUN
ajst-12715	118	16	,	,	PUNCT
ajst-12715	118	17	and	and	CCONJ
ajst-12715	118	18	output	output	NOUN
ajst-12715	118	19	gate	gate	NOUN
ajst-12715	118	20	,	,	PUNCT
ajst-12715	118	21	to	to	PART
ajst-12715	118	22	control	control	VERB
ajst-12715	118	23	the	the	DET
ajst-12715	118	24	information	information	NOUN
ajst-12715	118	25	that	that	PRON
ajst-12715	118	26	needs	need	VERB
ajst-12715	118	27	to	to	PART
ajst-12715	118	28	be	be	AUX
ajst-12715	118	29	remembered	remember	VERB
ajst-12715	118	30	,	,	PUNCT
ajst-12715	118	31	and	and	CCONJ
ajst-12715	118	32	forgotten	forget	VERB
ajst-12715	118	33	at	at	ADP
ajst-12715	118	34	each	each	DET
ajst-12715	118	35	time	time	NOUN
ajst-12715	118	36	step	step	NOUN
ajst-12715	118	37	.	.	PUNCT
ajst-12715	119	1	because	because	SCONJ
ajst-12715	119	2	of	of	ADP
ajst-12715	119	3	the	the	DET
ajst-12715	119	4	control	control	NOUN
ajst-12715	119	5	provided	provide	VERB
ajst-12715	119	6	by	by	ADP
ajst-12715	119	7	these	these	DET
ajst-12715	119	8	three	three	NUM
ajst-12715	119	9	gates	gate	NOUN
ajst-12715	119	10	,	,	PUNCT
ajst-12715	119	11	lstm	lstm	NOUN
ajst-12715	119	12	can	can	AUX
ajst-12715	119	13	remember	remember	VERB
ajst-12715	119	14	more	more	ADV
ajst-12715	119	15	extended	extended	ADJ
ajst-12715	119	16	sequence	sequence	NOUN
ajst-12715	119	17	features	feature	NOUN
ajst-12715	119	18	,	,	PUNCT
ajst-12715	119	19	and	and	CCONJ
ajst-12715	119	20	solve	solve	VERB
ajst-12715	119	21	the	the	DET
ajst-12715	119	22	problems	problem	NOUN
ajst-12715	119	23	of	of	ADP
ajst-12715	119	24	vanishing	vanish	VERB
ajst-12715	119	25	,	,	PUNCT
ajst-12715	119	26	and	and	CCONJ
ajst-12715	119	27	exploding	explode	VERB
ajst-12715	119	28	gradients	gradient	NOUN
ajst-12715	119	29	that	that	PRON
ajst-12715	119	30	often	often	ADV
ajst-12715	119	31	occur	occur	VERB
ajst-12715	119	32	during	during	ADP
ajst-12715	119	33	the	the	DET
ajst-12715	119	34	training	training	NOUN
ajst-12715	119	35	process	process	NOUN
ajst-12715	119	36	of	of	ADP
ajst-12715	119	37	traditional	traditional	ADJ
ajst-12715	119	38	rnn	rnn	NOUN
ajst-12715	119	39	models	model	NOUN
ajst-12715	119	40	.	.	PUNCT
ajst-12715	120	1	figure	figure	VERB
ajst-12715	120	2	4	4	NUM
ajst-12715	120	3	displays	display	VERB
ajst-12715	120	4	the	the	DET
ajst-12715	120	5	structure	structure	NOUN
ajst-12715	120	6	of	of	ADP
ajst-12715	120	7	the	the	DET
ajst-12715	120	8	model	model	NOUN
ajst-12715	120	9	.	.	PUNCT
ajst-12715	121	1	figure	figure	VERB
ajst-12715	121	2	4	4	NUM
ajst-12715	121	3	.	.	PUNCT
ajst-12715	122	1	structure	structure	NOUN
ajst-12715	122	2	of	of	ADP
ajst-12715	122	3	lstm	lstm	PROPN
ajst-12715	122	4	model	model	NOUN
ajst-12715	122	5	.	.	PUNCT
ajst-12715	123	1	the	the	DET
ajst-12715	123	2	update	update	NOUN
ajst-12715	123	3	of	of	ADP
ajst-12715	123	4	the	the	DET
ajst-12715	123	5	three	three	NUM
ajst-12715	123	6	gate	gate	NOUN
ajst-12715	123	7	states	state	NOUN
ajst-12715	123	8	is	be	AUX
ajst-12715	123	9	shown	show	VERB
ajst-12715	123	10	in	in	ADP
ajst-12715	123	11	equations	equation	NOUN
ajst-12715	123	12	(	(	PUNCT
ajst-12715	123	13	2	2	NUM
ajst-12715	123	14	)	)	PUNCT
ajst-12715	123	15	to	to	ADP
ajst-12715	123	16	(	(	PUNCT
ajst-12715	123	17	7	7	NUM
ajst-12715	123	18	):	):	PUNCT
ajst-12715	123	19			NOUN
ajst-12715	123	20	1	1	VERB
ajst-12715	123	21	1	1	NUM
ajst-12715	123	22	t	t	NOUN
ajst-12715	123	23	fx	fx	NOUN
ajst-12715	123	24	t	t	PROPN
ajst-12715	123	25	fh	fh	PROPN
ajst-12715	123	26	t	t	PROPN
ajst-12715	123	27	fc	fc	PROPN
ajst-12715	123	28	t	t	PROPN
ajst-12715	123	29	ff	ff	PROPN
ajst-12715	123	30	w	w	PROPN
ajst-12715	123	31	x	x	PROPN
ajst-12715	123	32	w	w	PROPN
ajst-12715	123	33	h	h	PROPN
ajst-12715	123	34	w	w	PROPN
ajst-12715	123	35	c	c	PROPN
ajst-12715	123	36	b	b	PROPN
ajst-12715	123	37			PROPN
ajst-12715	123	38			PROPN
ajst-12715	123	39			PUNCT
ajst-12715	123	40			PROPN
ajst-12715	123	41			ADJ
ajst-12715	123	42	.	.	PUNCT
ajst-12715	124	1	(	(	PUNCT
ajst-12715	124	2	2	2	X
ajst-12715	124	3	)	)	PUNCT
ajst-12715	124	4			NOUN
ajst-12715	124	5	1	1	VERB
ajst-12715	124	6	1	1	NUM
ajst-12715	124	7	t	t	NOUN
ajst-12715	124	8	ix	ix	ADP
ajst-12715	124	9	t	t	PROPN
ajst-12715	124	10	ih	ih	PROPN
ajst-12715	124	11	t	t	PROPN
ajst-12715	125	1	ic	ic	PROPN
ajst-12715	125	2	t	t	PROPN
ajst-12715	125	3	ii	ii	PROPN
ajst-12715	125	4	w	w	PROPN
ajst-12715	125	5	x	x	PROPN
ajst-12715	125	6	w	w	PROPN
ajst-12715	125	7	h	h	PROPN
ajst-12715	125	8	w	w	PROPN
ajst-12715	125	9	c	c	PROPN
ajst-12715	125	10	b	b	PROPN
ajst-12715	125	11			PROPN
ajst-12715	125	12			PROPN
ajst-12715	125	13			PUNCT
ajst-12715	125	14			PROPN
ajst-12715	125	15			ADJ
ajst-12715	125	16	.	.	PUNCT
ajst-12715	126	1	(	(	PUNCT
ajst-12715	126	2	3	3	X
ajst-12715	126	3	)	)	SYM
ajst-12715	126	4	43	43	NUM
ajst-12715	126	5			PROPN
ajst-12715	126	6	1	1	PROPN
ajst-12715	126	7	t	t	PROPN
ajst-12715	126	8	ox	ox	NOUN
ajst-12715	126	9	t	t	PROPN
ajst-12715	127	1	oh	oh	INTJ
ajst-12715	127	2	t	t	PROPN
ajst-12715	127	3	oc	oc	NOUN
ajst-12715	127	4	t	t	PROPN
ajst-12715	127	5	oo	oo	INTJ
ajst-12715	127	6	w	w	PROPN
ajst-12715	127	7	x	x	PROPN
ajst-12715	127	8	w	w	PROPN
ajst-12715	127	9	h	h	NOUN
ajst-12715	127	10	w	w	PROPN
ajst-12715	127	11	c	c	PROPN
ajst-12715	127	12	b	b	PROPN
ajst-12715	127	13			PROPN
ajst-12715	127	14			PUNCT
ajst-12715	127	15			PROPN
ajst-12715	127	16			ADJ
ajst-12715	127	17	.	.	PUNCT
ajst-12715	128	1	(	(	PUNCT
ajst-12715	128	2	4	4	X
ajst-12715	128	3	)	)	PUNCT
ajst-12715	128	4	�	�	PROPN
ajst-12715	128	5			PROPN
ajst-12715	128	6	1tanht	1tanht	NOUN
ajst-12715	129	1	cx	cx	PROPN
ajst-12715	129	2	t	t	PROPN
ajst-12715	129	3	ch	ch	PROPN
ajst-12715	129	4	t	t	PROPN
ajst-12715	129	5	cc	cc	PROPN
ajst-12715	129	6	w	w	PROPN
ajst-12715	129	7	x	x	PROPN
ajst-12715	129	8	w	w	PROPN
ajst-12715	129	9	h	h	PROPN
ajst-12715	129	10	b	b	PROPN
ajst-12715	129	11			ADV
ajst-12715	129	12			ADJ
ajst-12715	129	13	.	.	PUNCT
ajst-12715	130	1	(	(	PUNCT
ajst-12715	130	2	5	5	X
ajst-12715	130	3	)	)	PUNCT
ajst-12715	130	4	�	�	PROPN
ajst-12715	130	5	1	1	NUM
ajst-12715	130	6	t	t	NOUN
ajst-12715	130	7	t	t	PROPN
ajst-12715	130	8	t	t	PROPN
ajst-12715	130	9	t	t	PROPN
ajst-12715	130	10	tc	tc	INTJ
ajst-12715	131	1	f	f	PROPN
ajst-12715	131	2	c	c	VERB
ajst-12715	132	1	i	i	PRON
ajst-12715	132	2	c	c	PROPN
ajst-12715	132	3			ADJ
ajst-12715	132	4	.	.	PUNCT
ajst-12715	133	1	(	(	PUNCT
ajst-12715	133	2	6	6	NUM
ajst-12715	133	3	)	)	PUNCT
ajst-12715	133	4			NOUN
ajst-12715	134	1	tanht	tanht	PUNCT
ajst-12715	135	1	t	t	PROPN
ajst-12715	135	2	th	th	X
ajst-12715	135	3	o	o	NOUN
ajst-12715	135	4	c	c	NOUN
ajst-12715	135	5	.	.	PUNCT
ajst-12715	136	1	(	(	PUNCT
ajst-12715	136	2	7	7	X
ajst-12715	136	3	)	)	PUNCT
ajst-12715	136	4	tf	tf	NOUN
ajst-12715	136	5	,	,	PUNCT
ajst-12715	136	6	ti	ti	NOUN
ajst-12715	136	7	,	,	PUNCT
ajst-12715	136	8	and	and	CCONJ
ajst-12715	136	9	to	to	PART
ajst-12715	136	10	respectively	respectively	ADV
ajst-12715	136	11	represent	represent	VERB
ajst-12715	136	12	the	the	DET
ajst-12715	136	13	states	state	NOUN
ajst-12715	136	14	of	of	ADP
ajst-12715	136	15	the	the	DET
ajst-12715	136	16	forget	forget	NOUN
ajst-12715	136	17	gate	gate	NOUN
ajst-12715	136	18	,	,	PUNCT
ajst-12715	136	19	input	input	NOUN
ajst-12715	136	20	gate	gate	NOUN
ajst-12715	136	21	,	,	PUNCT
ajst-12715	136	22	,	,	PUNCT
ajst-12715	136	23	and	and	CCONJ
ajst-12715	136	24	output	output	NOUN
ajst-12715	136	25	gate	gate	NOUN
ajst-12715	136	26	at	at	ADP
ajst-12715	136	27	time	time	NOUN
ajst-12715	136	28	t	t	PROPN
ajst-12715	136	29	.	.	PUNCT
ajst-12715	137	1	w	w	PROPN
ajst-12715	137	2	is	be	AUX
ajst-12715	137	3	the	the	DET
ajst-12715	137	4	weight	weight	NOUN
ajst-12715	137	5	matrix	matrix	NOUN
ajst-12715	137	6	,	,	PUNCT
ajst-12715	137	7	which	which	PRON
ajst-12715	137	8	is	be	AUX
ajst-12715	137	9	learned	learn	VERB
ajst-12715	137	10	through	through	ADP
ajst-12715	137	11	training	training	NOUN
ajst-12715	137	12	.	.	PUNCT
ajst-12715	138	1			PROPN
ajst-12715	138	2	is	be	AUX
ajst-12715	138	3	the	the	DET
ajst-12715	138	4	sigmoid	sigmoid	NOUN
ajst-12715	138	5	activation	activation	NOUN
ajst-12715	138	6	function	function	NOUN
ajst-12715	138	7	.	.	PUNCT
ajst-12715	139	1	b	b	NOUN
ajst-12715	139	2	is	be	AUX
ajst-12715	139	3	the	the	DET
ajst-12715	139	4	bias	bias	NOUN
ajst-12715	139	5	term	term	NOUN
ajst-12715	139	6	,	,	PUNCT
ajst-12715	139	7	which	which	PRON
ajst-12715	139	8	is	be	AUX
ajst-12715	139	9	randomly	randomly	ADV
ajst-12715	139	10	initialized	initialize	VERB
ajst-12715	139	11	,	,	PUNCT
ajst-12715	139	12	and	and	CCONJ
ajst-12715	139	13	not	not	PART
ajst-12715	139	14	trained	train	VERB
ajst-12715	139	15	.	.	PUNCT
ajst-12715	140	1	tc	tc	PROPN
ajst-12715	140	2	is	be	AUX
ajst-12715	140	3	the	the	DET
ajst-12715	140	4	cell	cell	NOUN
ajst-12715	140	5	state	state	NOUN
ajst-12715	140	6	at	at	ADP
ajst-12715	140	7	time	time	NOUN
ajst-12715	140	8	t	t	PROPN
ajst-12715	140	9	,	,	PUNCT
ajst-12715	140	10	representing	represent	VERB
ajst-12715	140	11	the	the	DET
ajst-12715	140	12	lstm	lstm	PROPN
ajst-12715	140	13	neuron	neuron	PROPN
ajst-12715	140	14	's	's	PART
ajst-12715	140	15	memory	memory	NOUN
ajst-12715	140	16	information	information	NOUN
ajst-12715	140	17	.	.	PUNCT
ajst-12715	141	1	th	th	X
ajst-12715	141	2	is	be	AUX
ajst-12715	141	3	the	the	DET
ajst-12715	141	4	hidden	hidden	ADJ
ajst-12715	141	5	state	state	NOUN
ajst-12715	141	6	information	information	NOUN
ajst-12715	141	7	at	at	ADP
ajst-12715	141	8	time	time	NOUN
ajst-12715	141	9	t	t	PROPN
ajst-12715	141	10	.	.	PUNCT
ajst-12715	142	1	in	in	ADP
ajst-12715	142	2	financial	financial	ADJ
ajst-12715	142	3	securities	security	NOUN
ajst-12715	142	4	text	text	NOUN
ajst-12715	142	5	,	,	PUNCT
ajst-12715	142	6	many	many	ADJ
ajst-12715	142	7	long	long	ADJ
ajst-12715	142	8	texts	text	NOUN
ajst-12715	142	9	have	have	VERB
ajst-12715	142	10	a	a	DET
ajst-12715	142	11	high	high	ADJ
ajst-12715	142	12	density	density	NOUN
ajst-12715	142	13	of	of	ADP
ajst-12715	142	14	domain	domain	NOUN
ajst-12715	142	15	-	-	PUNCT
ajst-12715	142	16	specific	specific	ADJ
ajst-12715	142	17	terminology	terminology	NOUN
ajst-12715	142	18	.	.	PUNCT
ajst-12715	143	1	by	by	ADP
ajst-12715	143	2	leveraging	leverage	VERB
ajst-12715	143	3	bilstm	bilstm	NOUN
ajst-12715	143	4	models	model	NOUN
ajst-12715	143	5	,	,	PUNCT
ajst-12715	143	6	dependency	dependency	NOUN
ajst-12715	143	7	relationships	relationship	NOUN
ajst-12715	143	8	among	among	ADP
ajst-12715	143	9	words	word	NOUN
ajst-12715	143	10	in	in	ADP
ajst-12715	143	11	lengthy	lengthy	ADJ
ajst-12715	143	12	texts	text	NOUN
ajst-12715	143	13	can	can	AUX
ajst-12715	143	14	be	be	AUX
ajst-12715	143	15	captured	capture	VERB
ajst-12715	143	16	,	,	PUNCT
ajst-12715	143	17	and	and	CCONJ
ajst-12715	143	18	features	feature	NOUN
ajst-12715	143	19	of	of	ADP
ajst-12715	143	20	the	the	DET
ajst-12715	143	21	relationships	relationship	NOUN
ajst-12715	143	22	between	between	ADP
ajst-12715	143	23	words	word	NOUN
ajst-12715	143	24	can	can	AUX
ajst-12715	143	25	be	be	AUX
ajst-12715	143	26	extracted	extract	VERB
ajst-12715	143	27	,	,	PUNCT
ajst-12715	143	28	thereby	thereby	ADV
ajst-12715	143	29	enhancing	enhance	VERB
ajst-12715	143	30	the	the	DET
ajst-12715	143	31	accuracy	accuracy	NOUN
ajst-12715	143	32	of	of	ADP
ajst-12715	143	33	entity	entity	NOUN
ajst-12715	143	34	extraction	extraction	NOUN
ajst-12715	143	35	.	.	PUNCT
ajst-12715	144	1	3.2.2	3.2.2	NUM
ajst-12715	144	2	.	.	PUNCT
ajst-12715	145	1	idcnn	idcnn	ADJ
ajst-12715	145	2	layer	layer	NOUN
ajst-12715	145	3	idcnn	idcnn	PROPN
ajst-12715	145	4	contains	contain	VERB
ajst-12715	145	5	several	several	ADJ
ajst-12715	145	6	dcnn	dcnn	ADJ
ajst-12715	145	7	layers	layer	NOUN
ajst-12715	145	8	,	,	PUNCT
ajst-12715	145	9	whereas	whereas	SCONJ
ajst-12715	145	10	conventional	conventional	ADJ
ajst-12715	145	11	cnn	cnn	PROPN
ajst-12715	145	12	's	's	PART
ajst-12715	145	13	final	final	ADJ
ajst-12715	145	14	neurons	neuron	NOUN
ajst-12715	145	15	can	can	AUX
ajst-12715	145	16	only	only	ADV
ajst-12715	145	17	acquire	acquire	VERB
ajst-12715	145	18	a	a	DET
ajst-12715	145	19	limited	limited	ADJ
ajst-12715	145	20	fraction	fraction	NOUN
ajst-12715	145	21	of	of	ADP
ajst-12715	145	22	knowledge	knowledge	NOUN
ajst-12715	145	23	from	from	ADP
ajst-12715	145	24	the	the	DET
ajst-12715	145	25	input	input	NOUN
ajst-12715	145	26	text	text	NOUN
ajst-12715	145	27	.	.	PUNCT
ajst-12715	146	1	more	more	ADJ
ajst-12715	146	2	convolutional	convolutional	ADJ
ajst-12715	146	3	layers	layer	NOUN
ajst-12715	146	4	must	must	AUX
ajst-12715	146	5	be	be	AUX
ajst-12715	146	6	added	add	VERB
ajst-12715	146	7	to	to	PART
ajst-12715	146	8	acquire	acquire	VERB
ajst-12715	146	9	contextual	contextual	ADJ
ajst-12715	146	10	information	information	NOUN
ajst-12715	146	11	,	,	PUNCT
ajst-12715	146	12	leading	lead	VERB
ajst-12715	146	13	to	to	ADP
ajst-12715	146	14	deeper	deep	ADJ
ajst-12715	146	15	networks	network	NOUN
ajst-12715	146	16	with	with	ADP
ajst-12715	146	17	more	more	ADJ
ajst-12715	146	18	parameters	parameter	NOUN
ajst-12715	146	19	,	,	PUNCT
ajst-12715	146	20	and	and	CCONJ
ajst-12715	146	21	a	a	DET
ajst-12715	146	22	higher	high	ADJ
ajst-12715	146	23	risk	risk	NOUN
ajst-12715	146	24	of	of	ADP
ajst-12715	146	25	overfitting	overfitte	VERB
ajst-12715	146	26	.	.	PUNCT
ajst-12715	147	1	dcnn	dcnn	PROPN
ajst-12715	147	2	can	can	AUX
ajst-12715	147	3	address	address	VERB
ajst-12715	147	4	this	this	DET
ajst-12715	147	5	issue	issue	NOUN
ajst-12715	147	6	effectively	effectively	ADV
ajst-12715	147	7	by	by	ADP
ajst-12715	147	8	introducing	introduce	VERB
ajst-12715	147	9	a	a	DET
ajst-12715	147	10	hyperparameter	hyperparameter	NOUN
ajst-12715	147	11	called	call	VERB
ajst-12715	147	12	dilation	dilation	NOUN
ajst-12715	147	13	rate	rate	NOUN
ajst-12715	147	14	,	,	PUNCT
ajst-12715	147	15	which	which	PRON
ajst-12715	147	16	expands	expand	VERB
ajst-12715	147	17	the	the	DET
ajst-12715	147	18	convolutional	convolutional	ADJ
ajst-12715	147	19	kernel	kernel	NOUN
ajst-12715	147	20	,	,	PUNCT
ajst-12715	147	21	and	and	CCONJ
ajst-12715	147	22	increases	increase	VERB
ajst-12715	147	23	its	its	PRON
ajst-12715	147	24	receptive	receptive	ADJ
ajst-12715	147	25	field	field	NOUN
ajst-12715	147	26	.	.	PUNCT
ajst-12715	148	1	figure	figure	NOUN
ajst-12715	148	2	5	5	NUM
ajst-12715	148	3	illustrates	illustrate	VERB
ajst-12715	148	4	this	this	DET
ajst-12715	148	5	concept	concept	NOUN
ajst-12715	148	6	.	.	PUNCT
ajst-12715	149	1	figure	figure	NOUN
ajst-12715	149	2	5	5	NUM
ajst-12715	149	3	.	.	PUNCT
ajst-12715	149	4	dilated	dilate	VERB
ajst-12715	149	5	convolution	convolution	NOUN
ajst-12715	149	6	idcnn	idcnn	PROPN
ajst-12715	149	7	model	model	NOUN
ajst-12715	149	8	.	.	PUNCT
ajst-12715	150	1	figure	figure	NOUN
ajst-12715	150	2	5	5	NUM
ajst-12715	150	3	illustrates	illustrate	VERB
ajst-12715	150	4	the	the	DET
ajst-12715	150	5	difference	difference	NOUN
ajst-12715	150	6	between	between	ADP
ajst-12715	150	7	regular	regular	ADJ
ajst-12715	150	8	,	,	PUNCT
ajst-12715	150	9	and	and	CCONJ
ajst-12715	150	10	dilated	dilated	ADJ
ajst-12715	150	11	convolution	convolution	NOUN
ajst-12715	150	12	,	,	PUNCT
ajst-12715	150	13	using	use	VERB
ajst-12715	150	14	a	a	DET
ajst-12715	150	15	3×3	3×3	NUM
ajst-12715	150	16	kernel	kernel	NOUN
ajst-12715	150	17	as	as	ADP
ajst-12715	150	18	an	an	DET
ajst-12715	150	19	example	example	NOUN
ajst-12715	150	20	.	.	PUNCT
ajst-12715	151	1	(	(	PUNCT
ajst-12715	151	2	a	a	X
ajst-12715	151	3	)	)	PUNCT
ajst-12715	151	4	the	the	DET
ajst-12715	151	5	standard	standard	ADJ
ajst-12715	151	6	convolution	convolution	NOUN
ajst-12715	151	7	is	be	AUX
ajst-12715	151	8	illustrated	illustrate	VERB
ajst-12715	151	9	using	use	VERB
ajst-12715	151	10	a	a	DET
ajst-12715	151	11	dilation	dilation	NOUN
ajst-12715	151	12	rate	rate	NOUN
ajst-12715	151	13	,	,	PUNCT
ajst-12715	151	14	yielding	yield	VERB
ajst-12715	151	15	a	a	DET
ajst-12715	151	16	3×3	3×3	NUM
ajst-12715	151	17	receptive	receptive	ADJ
ajst-12715	151	18	field	field	NOUN
ajst-12715	151	19	.	.	PUNCT
ajst-12715	152	1	(	(	PUNCT
ajst-12715	152	2	b	b	X
ajst-12715	152	3	)	)	PUNCT
ajst-12715	152	4	employing	employ	VERB
ajst-12715	152	5	2	2	NUM
ajst-12715	152	6	dilation	dilation	NOUN
ajst-12715	152	7	rate	rate	NOUN
ajst-12715	152	8	increases	increase	VERB
ajst-12715	152	9	the	the	DET
ajst-12715	152	10	receptive	receptive	ADJ
ajst-12715	152	11	field	field	NOUN
ajst-12715	152	12	to	to	ADP
ajst-12715	152	13	5×5	5×5	NUM
ajst-12715	152	14	.	.	PUNCT
ajst-12715	153	1	(	(	PUNCT
ajst-12715	153	2	c	c	X
ajst-12715	153	3	)	)	PUNCT
ajst-12715	153	4	doubling	double	VERB
ajst-12715	153	5	the	the	DET
ajst-12715	153	6	dilation	dilation	NOUN
ajst-12715	153	7	rate	rate	NOUN
ajst-12715	153	8	to	to	ADP
ajst-12715	153	9	4	4	NUM
ajst-12715	153	10	expands	expand	VERB
ajst-12715	153	11	the	the	DET
ajst-12715	153	12	receptive	receptive	ADJ
ajst-12715	153	13	field	field	NOUN
ajst-12715	153	14	to	to	ADP
ajst-12715	153	15	15×15	15×15	NUM
ajst-12715	153	16	.	.	PUNCT
ajst-12715	154	1	the	the	DET
ajst-12715	154	2	internal	internal	ADJ
ajst-12715	154	3	structure	structure	NOUN
ajst-12715	154	4	of	of	ADP
ajst-12715	154	5	dcnn	dcnn	PROPN
ajst-12715	154	6	is	be	AUX
ajst-12715	154	7	shown	show	VERB
ajst-12715	154	8	in	in	ADP
ajst-12715	154	9	equations	equation	NOUN
ajst-12715	154	10	(	(	PUNCT
ajst-12715	154	11	8)	8)	NUM
ajst-12715	154	12	to	to	PART
ajst-12715	154	13	(	(	PUNCT
ajst-12715	154	14	10	10	NUM
ajst-12715	154	15	):	):	PUNCT
ajst-12715	154	16			NOUN
ajst-12715	154	17			SYM
ajst-12715	154	18			NOUN
ajst-12715	155	1	1	1	ADJ
ajst-12715	155	2	0	0	NUM
ajst-12715	156	1	1	1	NUM
ajst-12715	156	2	t	t	NOUN
ajst-12715	156	3	tc	tc	NUM
ajst-12715	156	4	d	d	NOUN
ajst-12715	156	5	h	h	NOUN
ajst-12715	156	6	.	.	PUNCT
ajst-12715	157	1	(	(	PUNCT
ajst-12715	157	2	8)	8)	NUM
ajst-12715	157	3			NOUN
ajst-12715	157	4			SYM
ajst-12715	157	5			NOUN
ajst-12715	157	6			PUNCT
ajst-12715	157	7			NOUN
ajst-12715	158	1			NOUN
ajst-12715	158	2	1	1	VERB
ajst-12715	158	3	1	1	NUM
ajst-12715	158	4	2	2	NUM
ajst-12715	158	5	t	t	NOUN
ajst-12715	158	6	j	j	PROPN
ajst-12715	159	1	j	j	PROPN
ajst-12715	159	2	j	j	PROPN
ajst-12715	159	3	t	t	PROPN
ajst-12715	159	4	tc	tc	NOUN
ajst-12715	159	5	r	r	NOUN
ajst-12715	159	6	d	d	NOUN
ajst-12715	159	7	c	c	NOUN
ajst-12715	159	8			PROPN
ajst-12715	159	9	.	.	PUNCT
ajst-12715	160	1	(	(	PUNCT
ajst-12715	160	2	9	9	X
ajst-12715	160	3	)	)	PUNCT
ajst-12715	160	4			NOUN
ajst-12715	160	5			SYM
ajst-12715	160	6			NOUN
ajst-12715	160	7			SYM
ajst-12715	160	8			NOUN
ajst-12715	160	9	1	1	NOUN
ajst-12715	160	10	1	1	NUM
ajst-12715	160	11	(	(	PUNCT
ajst-12715	160	12	)	)	PUNCT
ajst-12715	160	13	n	n	CCONJ
ajst-12715	160	14	n	n	ADP
ajst-12715	160	15	n	n	NOUN
ajst-12715	160	16	t	t	NOUN
ajst-12715	160	17	tc	tc	NOUN
ajst-12715	160	18	r	r	NOUN
ajst-12715	161	1	d	d	X
ajst-12715	161	2	c	c	NOUN
ajst-12715	161	3			NOUN
ajst-12715	161	4	.	.	PUNCT
ajst-12715	162	1	(	(	PUNCT
ajst-12715	162	2	10	10	NUM
ajst-12715	162	3	)	)	PUNCT
ajst-12715	162	4	in	in	ADP
ajst-12715	162	5	this	this	DET
ajst-12715	162	6	equation	equation	NOUN
ajst-12715	162	7	,	,	PUNCT
ajst-12715	162	8			ADJ
ajst-12715	162	9	1	1	NOUN
ajst-12715	162	10	2	2	NUM
ajst-12715	162	11	,	,	PUNCT
ajst-12715	162	12	,	,	PUNCT
ajst-12715	162	13	,	,	PUNCT
ajst-12715	162	14	nh	nh	PROPN
ajst-12715	162	15	h	h	PROPN
ajst-12715	162	16	h	h	PROPN
ajst-12715	162	17	h	h	PROPN
ajst-12715	162	18	�	�	PROPN
ajst-12715	162	19	represents	represent	VERB
ajst-12715	162	20	the	the	DET
ajst-12715	162	21	output	output	NOUN
ajst-12715	162	22	of	of	ADP
ajst-12715	162	23	bilstm	bilstm	NOUN
ajst-12715	162	24	,	,	PUNCT
ajst-12715	162	25			PROPN
ajst-12715	162	26	jd	jd	NOUN
ajst-12715	162	27	is	be	AUX
ajst-12715	162	28	the	the	DET
ajst-12715	162	29	dilation	dilation	NOUN
ajst-12715	162	30	convolution	convolution	NOUN
ajst-12715	162	31	at	at	ADP
ajst-12715	162	32	dilation	dilation	NOUN
ajst-12715	162	33	distance	distance	NOUN
ajst-12715	162	34			NOUN
ajst-12715	162	35	in	in	ADP
ajst-12715	162	36	layer	layer	NOUN
ajst-12715	162	37	j	j	PROPN
ajst-12715	162	38	,	,	PUNCT
ajst-12715	162	39			PROPN
ajst-12715	162	40	0	0	NOUN
ajst-12715	163	1	1d	1d	NUM
ajst-12715	163	2	is	be	AUX
ajst-12715	163	3	the	the	DET
ajst-12715	163	4	dilation	dilation	NOUN
ajst-12715	163	5	convolution	convolution	NOUN
ajst-12715	163	6	at	at	ADP
ajst-12715	163	7	dilation	dilation	NOUN
ajst-12715	163	8	distance	distance	NOUN
ajst-12715	163	9	1	1	NUM
ajst-12715	163	10	in	in	ADP
ajst-12715	163	11	the	the	DET
ajst-12715	163	12	first	first	ADJ
ajst-12715	163	13	layer	layer	NOUN
ajst-12715	163	14	.	.	PUNCT
ajst-12715	164	1			NOUN
ajst-12715	165	1	j	j	PUNCT
ajst-12715	165	2	tc	tc	PROPN
ajst-12715	165	3	represents	represent	VERB
ajst-12715	165	4	the	the	DET
ajst-12715	165	5	feature	feature	NOUN
ajst-12715	165	6	obtained	obtain	VERB
ajst-12715	165	7	by	by	ADP
ajst-12715	165	8	the	the	DET
ajst-12715	165	9	j	j	PROPN
ajst-12715	165	10	-th	-th	NOUN
ajst-12715	165	11	layer	layer	NOUN
ajst-12715	165	12	of	of	ADP
ajst-12715	165	13	dilation	dilation	NOUN
ajst-12715	165	14	convolution	convolution	NOUN
ajst-12715	165	15			NOUN
ajst-12715	165	16	1j	1j	PUNCT
ajst-12715	166	1			INTJ
ajst-12715	166	2	;	;	PUNCT
ajst-12715	166	3	(	(	PUNCT
ajst-12715	166	4	)	)	PUNCT
ajst-12715	166	5	r	r	NOUN
ajst-12715	166	6	denotes	denote	VERB
ajst-12715	166	7	the	the	DET
ajst-12715	166	8	relu	relu	NOUN
ajst-12715	166	9	activation	activation	NOUN
ajst-12715	166	10	function	function	NOUN
ajst-12715	166	11	.	.	PUNCT
ajst-12715	167	1	through	through	ADP
ajst-12715	167	2	experiments	experiment	NOUN
ajst-12715	167	3	,	,	PUNCT
ajst-12715	167	4	we	we	PRON
ajst-12715	167	5	selected	select	VERB
ajst-12715	167	6	the	the	DET
ajst-12715	167	7	bilstm	bilstm	NOUN
ajst-12715	167	8	-	-	PUNCT
ajst-12715	167	9	idcnn	idcnn	ADJ
ajst-12715	167	10	model	model	NOUN
ajst-12715	167	11	for	for	ADP
ajst-12715	167	12	feature	feature	NOUN
ajst-12715	167	13	extraction	extraction	NOUN
ajst-12715	167	14	,	,	PUNCT
ajst-12715	167	15	which	which	PRON
ajst-12715	167	16	outperformed	outperform	VERB
ajst-12715	167	17	other	other	ADJ
ajst-12715	167	18	models	model	NOUN
ajst-12715	167	19	,	,	PUNCT
ajst-12715	167	20	such	such	ADJ
ajst-12715	167	21	as	as	ADP
ajst-12715	167	22	standalone	standalone	ADJ
ajst-12715	167	23	bilstm	bilstm	NOUN
ajst-12715	167	24	or	or	CCONJ
ajst-12715	167	25	combinations	combination	NOUN
ajst-12715	167	26	of	of	ADP
ajst-12715	167	27	idcnn	idcnn	ADJ
ajst-12715	167	28	with	with	ADP
ajst-12715	167	29	other	other	ADJ
ajst-12715	167	30	models	model	NOUN
ajst-12715	167	31	,	,	PUNCT
ajst-12715	167	32	and	and	CCONJ
ajst-12715	167	33	can	can	AUX
ajst-12715	167	34	better	well	ADV
ajst-12715	167	35	capture	capture	VERB
ajst-12715	167	36	long	long	ADJ
ajst-12715	167	37	-	-	PUNCT
ajst-12715	167	38	term	term	NOUN
ajst-12715	167	39	dependencies	dependency	NOUN
ajst-12715	167	40	in	in	ADP
ajst-12715	167	41	financial	financial	ADJ
ajst-12715	167	42	securities	security	NOUN
ajst-12715	167	43	text	text	NOUN
ajst-12715	167	44	by	by	ADP
ajst-12715	167	45	increasing	increase	VERB
ajst-12715	167	46	the	the	DET
ajst-12715	167	47	model	model	NOUN
ajst-12715	167	48	's	's	PART
ajst-12715	167	49	receptive	receptive	ADJ
ajst-12715	167	50	field	field	NOUN
ajst-12715	167	51	.	.	PUNCT
ajst-12715	168	1	for	for	ADP
ajst-12715	168	2	input	input	NOUN
ajst-12715	168	3	text	text	NOUN
ajst-12715	168	4	,	,	PUNCT
ajst-12715	168	5	idcnn	idcnn	PROPN
ajst-12715	168	6	outputs	output	VERB
ajst-12715	168	7	the	the	DET
ajst-12715	168	8	probabilities	probability	NOUN
ajst-12715	168	9	of	of	ADP
ajst-12715	168	10	each	each	DET
ajst-12715	168	11	word	word	NOUN
ajst-12715	168	12	corresponding	correspond	VERB
ajst-12715	168	13	to	to	ADP
ajst-12715	168	14	its	its	PRON
ajst-12715	168	15	respective	respective	ADJ
ajst-12715	168	16	labels	label	NOUN
ajst-12715	168	17	.	.	PUNCT
ajst-12715	169	1	3.3	3.3	NUM
ajst-12715	169	2	.	.	PUNCT
ajst-12715	170	1	multi	multi	ADJ
ajst-12715	170	2	-	-	ADJ
ajst-12715	170	3	head	head	ADJ
ajst-12715	170	4	attention	attention	NOUN
ajst-12715	170	5	layer	layer	NOUN
ajst-12715	170	6	the	the	DET
ajst-12715	170	7	multi	multi	ADJ
ajst-12715	170	8	-	-	ADJ
ajst-12715	170	9	head	head	ADJ
ajst-12715	170	10	attention	attention	NOUN
ajst-12715	170	11	is	be	AUX
ajst-12715	170	12	crucial	crucial	ADJ
ajst-12715	170	13	in	in	ADP
ajst-12715	170	14	enhancing	enhance	VERB
ajst-12715	170	15	entity	entity	NOUN
ajst-12715	170	16	recognition	recognition	NOUN
ajst-12715	170	17	accuracy	accuracy	NOUN
ajst-12715	170	18	by	by	ADP
ajst-12715	170	19	assigning	assign	VERB
ajst-12715	170	20	weights	weight	NOUN
ajst-12715	170	21	to	to	ADP
ajst-12715	170	22	features	feature	NOUN
ajst-12715	170	23	extracted	extract	VERB
ajst-12715	170	24	from	from	ADP
ajst-12715	170	25	bilstm	bilstm	NOUN
ajst-12715	170	26	-	-	PUNCT
ajst-12715	170	27	idcnn	idcnn	ADJ
ajst-12715	170	28	feature	feature	NOUN
ajst-12715	170	29	vectors	vector	NOUN
ajst-12715	170	30	,	,	PUNCT
ajst-12715	170	31	accentuating	accentuate	VERB
ajst-12715	170	32	essential	essential	ADJ
ajst-12715	170	33	features	feature	NOUN
ajst-12715	170	34	for	for	ADP
ajst-12715	170	35	classification	classification	NOUN
ajst-12715	170	36	,	,	PUNCT
ajst-12715	170	37	and	and	CCONJ
ajst-12715	170	38	attenuating	attenuate	VERB
ajst-12715	170	39	less	less	ADV
ajst-12715	170	40	relevant	relevant	ADJ
ajst-12715	170	41	features	feature	NOUN
ajst-12715	170	42	.	.	PUNCT
ajst-12715	171	1	experimental	experimental	ADJ
ajst-12715	171	2	results	result	NOUN
ajst-12715	171	3	have	have	AUX
ajst-12715	171	4	demonstrated	demonstrate	VERB
ajst-12715	171	5	that	that	SCONJ
ajst-12715	171	6	incorporating	incorporate	VERB
ajst-12715	171	7	attention	attention	NOUN
ajst-12715	171	8	mechanism	mechanism	NOUN
ajst-12715	171	9	can	can	AUX
ajst-12715	171	10	substantially	substantially	ADV
ajst-12715	171	11	enhance	enhance	VERB
ajst-12715	171	12	recognition	recognition	NOUN
ajst-12715	171	13	performance	performance	NOUN
ajst-12715	171	14	.	.	PUNCT
ajst-12715	172	1	the	the	DET
ajst-12715	172	2	output	output	NOUN
ajst-12715	172	3	of	of	ADP
ajst-12715	172	4	the	the	DET
ajst-12715	172	5	multi	multi	ADJ
ajst-12715	172	6	-	-	ADJ
ajst-12715	172	7	head	head	ADJ
ajst-12715	172	8	attention	attention	NOUN
ajst-12715	172	9	layer	layer	NOUN
ajst-12715	172	10	is	be	AUX
ajst-12715	172	11	obtained	obtain	VERB
ajst-12715	172	12	by	by	ADP
ajst-12715	172	13	concatenating	concatenate	VERB
ajst-12715	172	14	the	the	DET
ajst-12715	172	15	outputs	output	NOUN
ajst-12715	172	16	of	of	ADP
ajst-12715	172	17	multiple	multiple	ADJ
ajst-12715	172	18	self	self	NOUN
ajst-12715	172	19	-	-	PUNCT
ajst-12715	172	20	attention	attention	NOUN
ajst-12715	172	21	mechanisms	mechanism	NOUN
ajst-12715	172	22	,	,	PUNCT
ajst-12715	172	23	and	and	CCONJ
ajst-12715	172	24	applying	apply	VERB
ajst-12715	172	25	a	a	DET
ajst-12715	172	26	linear	linear	ADJ
ajst-12715	172	27	transformation	transformation	NOUN
ajst-12715	172	28	.	.	PUNCT
ajst-12715	173	1	the	the	DET
ajst-12715	173	2	formula	formula	NOUN
ajst-12715	173	3	is	be	AUX
ajst-12715	173	4	as	as	SCONJ
ajst-12715	173	5	follows	follow	VERB
ajst-12715	173	6	:	:	PUNCT
ajst-12715	173	7			NOUN
ajst-12715	173	8	attention	attention	NOUN
ajst-12715	173	9	q	q	X
ajst-12715	173	10	,	,	PUNCT
ajst-12715	173	11	k	k	NOUN
ajst-12715	173	12	,	,	PUNCT
ajst-12715	173	13	v	v	NOUN
ajst-12715	173	14	=	=	SYM
ajst-12715	174	1	softmax	softmax	PROPN
ajst-12715	174	2	t	t	PROPN
ajst-12715	174	3	k	k	PROPN
ajst-12715	174	4	qk	qk	PROPN
ajst-12715	174	5	v	v	PROPN
ajst-12715	174	6	d	d	PROPN
ajst-12715	174	7			NOUN
ajst-12715	174	8			PROPN
ajst-12715	174	9			PROPN
ajst-12715	174	10			NOUN
ajst-12715	175	1			PROPN
ajst-12715	175	2			ADJ
ajst-12715	175	3			NOUN
ajst-12715	175	4	.	.	PUNCT
ajst-12715	176	1	(	(	PUNCT
ajst-12715	176	2	11	11	NUM
ajst-12715	176	3	)	)	PUNCT
ajst-12715	176	4			NOUN
ajst-12715	176	5			SYM
ajst-12715	176	6			NOUN
ajst-12715	176	7	1	1	ADJ
ajst-12715	176	8	2	2	NUM
ajst-12715	176	9	,	,	PUNCT
ajst-12715	176	10	,	,	PUNCT
ajst-12715	176	11	concat	concat	NOUN
ajst-12715	176	12	,	,	PUNCT
ajst-12715	176	13	,	,	PUNCT
ajst-12715	176	14	nmultihead	nmultihead	VERB
ajst-12715	176	15	q	q	PROPN
ajst-12715	176	16	k	k	PROPN
ajst-12715	176	17	v	v	NUM
ajst-12715	176	18	head	head	NOUN
ajst-12715	176	19	head	head	NOUN
ajst-12715	176	20	head	head	NOUN
ajst-12715	176	21	w	w	VERB
ajst-12715	176	22	�	�	PROPN
ajst-12715	176	23	.	.	PUNCT
ajst-12715	177	1	(	(	PUNCT
ajst-12715	177	2	12	12	NUM
ajst-12715	177	3	)	)	PUNCT
ajst-12715	177	4			NOUN
ajst-12715	177	5	attention	attention	NOUN
ajst-12715	177	6	,	,	PUNCT
ajst-12715	177	7	,	,	PUNCT
ajst-12715	177	8	q	q	PROPN
ajst-12715	178	1	k	k	NOUN
ajst-12715	178	2	v	v	INTJ
ajst-12715	179	1	i	i	PRON
ajst-12715	179	2	i	i	PRON
ajst-12715	180	1	i	i	PRON
ajst-12715	180	2	ihead	ihead	VERB
ajst-12715	180	3	qw	qw	INTJ
ajst-12715	180	4	kw	kw	PRON
ajst-12715	180	5	vw	vw	NOUN
ajst-12715	180	6	.	.	PUNCT
ajst-12715	181	1	(	(	PUNCT
ajst-12715	181	2	13	13	NUM
ajst-12715	181	3	)	)	PUNCT
ajst-12715	181	4	in	in	ADP
ajst-12715	181	5	the	the	DET
ajst-12715	181	6	equation	equation	NOUN
ajst-12715	181	7	,	,	PUNCT
ajst-12715	181	8	q	q	X
ajst-12715	181	9	,	,	PUNCT
ajst-12715	181	10	k	k	NOUN
ajst-12715	181	11	,	,	PUNCT
ajst-12715	181	12	,	,	PUNCT
ajst-12715	181	13	and	and	CCONJ
ajst-12715	181	14	v	v	AUX
ajst-12715	181	15	represent	represent	VERB
ajst-12715	181	16	the	the	DET
ajst-12715	181	17	query	query	NOUN
ajst-12715	181	18	,	,	PUNCT
ajst-12715	181	19	key	key	ADJ
ajst-12715	181	20	,	,	PUNCT
ajst-12715	181	21	,	,	PUNCT
ajst-12715	181	22	and	and	CCONJ
ajst-12715	181	23	value	value	NOUN
ajst-12715	181	24	vectors	vector	NOUN
ajst-12715	181	25	.	.	PUNCT
ajst-12715	182	1	kd	kd	PROPN
ajst-12715	182	2	is	be	AUX
ajst-12715	182	3	the	the	DET
ajst-12715	182	4	dimension	dimension	NOUN
ajst-12715	182	5	of	of	ADP
ajst-12715	182	6	the	the	DET
ajst-12715	182	7	input	input	NOUN
ajst-12715	182	8	vector	vector	NOUN
ajst-12715	182	9	.	.	PUNCT
ajst-12715	183	1	ihead	ihead	PROPN
ajst-12715	183	2	is	be	AUX
ajst-12715	183	3	the	the	DET
ajst-12715	183	4	output	output	NOUN
ajst-12715	183	5	of	of	ADP
ajst-12715	183	6	each	each	DET
ajst-12715	183	7	self	self	NOUN
ajst-12715	183	8	-	-	PUNCT
ajst-12715	183	9	attention	attention	NOUN
ajst-12715	183	10	mechanism	mechanism	NOUN
ajst-12715	183	11	.	.	PUNCT
ajst-12715	184	1	3.4	3.4	NUM
ajst-12715	184	2	.	.	PUNCT
ajst-12715	184	3	feature	feature	NOUN
ajst-12715	184	4	decoder	decoder	NOUN
ajst-12715	184	5	layer	layer	NOUN
ajst-12715	184	6	crf	crf	PROPN
ajst-12715	184	7	is	be	AUX
ajst-12715	184	8	a	a	DET
ajst-12715	184	9	commonly	commonly	ADV
ajst-12715	184	10	used	use	VERB
ajst-12715	184	11	model	model	NOUN
ajst-12715	184	12	in	in	ADP
ajst-12715	184	13	the	the	DET
ajst-12715	184	14	classic	classic	ADJ
ajst-12715	184	15	sequence	sequence	NOUN
ajst-12715	184	16	labeling	labeling	NOUN
ajst-12715	184	17	task	task	NOUN
ajst-12715	184	18	,	,	PUNCT
ajst-12715	184	19	which	which	PRON
ajst-12715	184	20	considers	consider	VERB
ajst-12715	184	21	the	the	DET
ajst-12715	184	22	dependency	dependency	NOUN
ajst-12715	184	23	between	between	ADP
ajst-12715	184	24	adjacent	adjacent	ADJ
ajst-12715	184	25	labels	label	NOUN
ajst-12715	184	26	,	,	PUNCT
ajst-12715	184	27	and	and	CCONJ
ajst-12715	184	28	optimizes	optimize	VERB
ajst-12715	184	29	the	the	DET
ajst-12715	184	30	label	label	NOUN
ajst-12715	184	31	sequence	sequence	NOUN
ajst-12715	184	32	from	from	ADP
ajst-12715	184	33	a	a	DET
ajst-12715	184	34	global	global	ADJ
ajst-12715	184	35	perspective	perspective	NOUN
ajst-12715	184	36	,	,	PUNCT
ajst-12715	184	37	allowing	allow	VERB
ajst-12715	184	38	it	it	PRON
ajst-12715	184	39	to	to	PART
ajst-12715	184	40	consider	consider	VERB
ajst-12715	184	41	all	all	DET
ajst-12715	184	42	possible	possible	ADJ
ajst-12715	184	43	results	result	NOUN
ajst-12715	184	44	when	when	SCONJ
ajst-12715	184	45	making	make	VERB
ajst-12715	184	46	predictions	prediction	NOUN
ajst-12715	184	47	,	,	PUNCT
ajst-12715	184	48	and	and	CCONJ
ajst-12715	184	49	choose	choose	VERB
ajst-12715	184	50	the	the	DET
ajst-12715	184	51	outcome	outcome	NOUN
ajst-12715	184	52	with	with	ADP
ajst-12715	184	53	the	the	DET
ajst-12715	184	54	highest	high	ADJ
ajst-12715	184	55	likelihood	likelihood	NOUN
ajst-12715	184	56	.	.	PUNCT
ajst-12715	185	1	the	the	DET
ajst-12715	185	2	fundamental	fundamental	ADJ
ajst-12715	185	3	operational	operational	ADJ
ajst-12715	185	4	mechanism	mechanism	NOUN
ajst-12715	185	5	of	of	ADP
ajst-12715	185	6	crf	crf	PROPN
ajst-12715	185	7	involves	involve	VERB
ajst-12715	185	8	computing	compute	VERB
ajst-12715	185	9	the	the	DET
ajst-12715	185	10	score	score	NOUN
ajst-12715	185	11	function	function	NOUN
ajst-12715	185	12	for	for	ADP
ajst-12715	185	13	the	the	DET
ajst-12715	185	14	anticipated	anticipate	VERB
ajst-12715	185	15	sequence	sequence	NOUN
ajst-12715	185	16	given	give	VERB
ajst-12715	185	17	an	an	DET
ajst-12715	185	18	input	input	NOUN
ajst-12715	185	19	sequence	sequence	NOUN
ajst-12715	185	20			NOUN
ajst-12715	185	21	1	1	NOUN
ajst-12715	185	22	2	2	NUM
ajst-12715	185	23	,	,	PUNCT
ajst-12715	185	24	,	,	PUNCT
ajst-12715	185	25	,	,	PUNCT
ajst-12715	185	26	nx	nx	X
ajst-12715	185	27	x	x	SYM
ajst-12715	185	28	x	x	PROPN
ajst-12715	185	29	x	x	PROPN
ajst-12715	185	30	�	�	PROPN
ajst-12715	185	31	,	,	PUNCT
ajst-12715	185	32	,	,	PUNCT
ajst-12715	185	33	and	and	CCONJ
ajst-12715	185	34	then	then	ADV
ajst-12715	185	35	determining	determine	VERB
ajst-12715	185	36	the	the	DET
ajst-12715	185	37	probability	probability	NOUN
ajst-12715	185	38	of	of	ADP
ajst-12715	185	39			ADJ
ajst-12715	185	40	1	1	NOUN
ajst-12715	185	41	2	2	NUM
ajst-12715	185	42	,	,	PUNCT
ajst-12715	185	43	,	,	PUNCT
ajst-12715	185	44	,	,	PUNCT
ajst-12715	185	45	ny	ny	PROPN
ajst-12715	185	46	y	y	PROPN
ajst-12715	185	47	y	y	PROPN
ajst-12715	185	48	y	y	PROPN
ajst-12715	185	49	�	�	PROPN
ajst-12715	185	50	.	.	PUNCT
ajst-12715	186	1	subsequently	subsequently	ADV
ajst-12715	186	2	,	,	PUNCT
ajst-12715	186	3	using	use	VERB
ajst-12715	186	4	the	the	DET
ajst-12715	186	5	likelihood	likelihood	NOUN
ajst-12715	186	6	maximization	maximization	NOUN
ajst-12715	186	7	principle	principle	NOUN
ajst-12715	186	8	,	,	PUNCT
ajst-12715	186	9	the	the	DET
ajst-12715	186	10	labeling	labeling	NOUN
ajst-12715	186	11	sequence	sequence	NOUN
ajst-12715	186	12	with	with	ADP
ajst-12715	186	13	the	the	DET
ajst-12715	186	14	highest	high	ADJ
ajst-12715	186	15	probability	probability	NOUN
ajst-12715	186	16	of	of	ADP
ajst-12715	186	17	the	the	DET
ajst-12715	186	18	predicted	predict	VERB
ajst-12715	186	19	sequence	sequence	NOUN
ajst-12715	186	20	is	be	AUX
ajst-12715	186	21	selected	select	VERB
ajst-12715	186	22	as	as	ADP
ajst-12715	186	23	the	the	DET
ajst-12715	186	24	output	output	NOUN
ajst-12715	186	25	,	,	PUNCT
ajst-12715	186	26	given	give	VERB
ajst-12715	186	27	the	the	DET
ajst-12715	186	28	output	output	NOUN
ajst-12715	186	29	sequence	sequence	NOUN
ajst-12715	186	30	corresponding	correspond	VERB
ajst-12715	186	31	to	to	ADP
ajst-12715	186	32	the	the	DET
ajst-12715	186	33	input	input	NOUN
ajst-12715	186	34	sequence	sequence	NOUN
ajst-12715	186	35			PROPN
ajst-12715	186	36	1	1	NOUN
ajst-12715	186	37	2	2	NUM
ajst-12715	186	38	,	,	PUNCT
ajst-12715	186	39	,	,	PUNCT
ajst-12715	186	40	,	,	PUNCT
ajst-12715	186	41	nx	nx	X
ajst-12715	186	42	x	x	SYM
ajst-12715	186	43	x	x	PROPN
ajst-12715	186	44	x	x	PROPN
ajst-12715	186	45	�	�	PROPN
ajst-12715	186	46	.	.	PUNCT
ajst-12715	187	1	equation	equation	NOUN
ajst-12715	187	2	(	(	PUNCT
ajst-12715	187	3	14	14	NUM
ajst-12715	187	4	)	)	PUNCT
ajst-12715	187	5	reveals	reveal	VERB
ajst-12715	187	6	the	the	DET
ajst-12715	187	7	score	score	NOUN
ajst-12715	187	8	function	function	NOUN
ajst-12715	187	9	for	for	ADP
ajst-12715	187	10	the	the	DET
ajst-12715	187	11	forecasted	forecast	VERB
ajst-12715	187	12	sequence	sequence	NOUN
ajst-12715	187	13	y	y	PROPN
ajst-12715	187	14	.	.	PUNCT
ajst-12715	188	1	44	44	NUM
ajst-12715	188	2			NOUN
ajst-12715	188	3			PROPN
ajst-12715	188	4	1	1	NUM
ajst-12715	188	5	,	,	PUNCT
ajst-12715	188	6	,	,	PUNCT
ajst-12715	188	7	0	0	NUM
ajst-12715	188	8	1	1	NUM
ajst-12715	188	9	,	,	PUNCT
ajst-12715	188	10	i	i	PRON
ajst-12715	188	11	i	i	VERB
ajst-12715	188	12	i	i	VERB
ajst-12715	188	13	n	n	VERB
ajst-12715	188	14	n	n	CCONJ
ajst-12715	188	15	y	y	PROPN
ajst-12715	188	16	y	y	PROPN
ajst-12715	189	1	i	i	INTJ
ajst-12715	189	2	y	y	VERB
ajst-12715	190	1	i	i	PRON
ajst-12715	190	2	i	i	PRON
ajst-12715	190	3	s	s	VERB
ajst-12715	190	4	x	x	X
ajst-12715	190	5	y	y	PROPN
ajst-12715	190	6	a	a	DET
ajst-12715	190	7	p	p	X
ajst-12715	190	8			ADJ
ajst-12715	190	9			PROPN
ajst-12715	190	10			PROPN
ajst-12715	190	11			PROPN
ajst-12715	190	12			NOUN
ajst-12715	190	13			X
ajst-12715	190	14	.	.	PUNCT
ajst-12715	191	1	(	(	PUNCT
ajst-12715	191	2	14	14	NUM
ajst-12715	191	3	)	)	PUNCT
ajst-12715	191	4	matrix	matrix	NOUN
ajst-12715	191	5	a	a	DET
ajst-12715	191	6	denotes	denote	NOUN
ajst-12715	191	7	the	the	DET
ajst-12715	191	8	transition	transition	NOUN
ajst-12715	191	9	probability	probability	NOUN
ajst-12715	191	10	,	,	PUNCT
ajst-12715	191	11	where	where	SCONJ
ajst-12715	191	12	,	,	PUNCT
ajst-12715	191	13	i	i	PRON
ajst-12715	191	14	ja	ja	PROPN
ajst-12715	191	15	specifies	specify	VERB
ajst-12715	191	16	the	the	DET
ajst-12715	191	17	likelihood	likelihood	NOUN
ajst-12715	191	18	of	of	ADP
ajst-12715	191	19	the	the	DET
ajst-12715	191	20	transition	transition	NOUN
ajst-12715	191	21	from	from	ADP
ajst-12715	191	22	label	label	NOUN
ajst-12715	191	23	i	i	PRON
ajst-12715	191	24	to	to	PART
ajst-12715	191	25	label	label	VERB
ajst-12715	191	26	j	j	PROPN
ajst-12715	191	27	.	.	PUNCT
ajst-12715	192	1	probability	probability	NOUN
ajst-12715	192	2	matrix	matrix	NOUN
ajst-12715	192	3	p	p	NOUN
ajst-12715	192	4	is	be	AUX
ajst-12715	192	5	output	output	NOUN
ajst-12715	192	6	from	from	ADP
ajst-12715	192	7	the	the	DET
ajst-12715	192	8	preceding	precede	VERB
ajst-12715	192	9	layer	layer	NOUN
ajst-12715	192	10	,	,	PUNCT
ajst-12715	192	11	where	where	SCONJ
ajst-12715	192	12	,	,	PUNCT
ajst-12715	192	13	i	i	PRON
ajst-12715	192	14	jp	jp	VERB
ajst-12715	192	15	indicates	indicate	VERB
ajst-12715	192	16	the	the	DET
ajst-12715	192	17	probability	probability	NOUN
ajst-12715	192	18	that	that	SCONJ
ajst-12715	192	19	the	the	DET
ajst-12715	192	20	i	i	PRON
ajst-12715	192	21	-th	-th	ADJ
ajst-12715	192	22	term	term	NOUN
ajst-12715	192	23	is	be	AUX
ajst-12715	192	24	tagged	tag	VERB
ajst-12715	192	25	with	with	ADP
ajst-12715	192	26	the	the	DET
ajst-12715	192	27	j	j	PROPN
ajst-12715	192	28	-th	-th	NOUN
ajst-12715	192	29	label	label	NOUN
ajst-12715	192	30	.	.	PUNCT
ajst-12715	193	1	the	the	DET
ajst-12715	193	2	likelihood	likelihood	NOUN
ajst-12715	193	3	of	of	ADP
ajst-12715	193	4	the	the	DET
ajst-12715	193	5	anticipated	anticipate	VERB
ajst-12715	193	6	sequence	sequence	NOUN
ajst-12715	193	7	y	y	PROPN
ajst-12715	193	8	is	be	AUX
ajst-12715	193	9	computed	compute	VERB
ajst-12715	193	10	by	by	ADP
ajst-12715	193	11	means	mean	NOUN
ajst-12715	193	12	of	of	ADP
ajst-12715	193	13	equation	equation	NOUN
ajst-12715	193	14	(	(	PUNCT
ajst-12715	193	15	15	15	NUM
ajst-12715	193	16	)	)	PUNCT
ajst-12715	193	17	.	.	PUNCT
ajst-12715	194	1			NOUN
ajst-12715	195	1			PUNCT
ajst-12715	195	2			PROPN
ajst-12715	196	1			X
ajst-12715	197	1			PROPN
ajst-12715	198	1	�	�	NOUN
ajst-12715	199	1			PROPN
ajst-12715	199	2			PROPN
ajst-12715	199	3	�	�	PROPN
ajst-12715	199	4	exp	exp	NOUN
ajst-12715	199	5	,	,	PUNCT
ajst-12715	199	6	|	|	ADV
ajst-12715	199	7	,	,	PUNCT
ajst-12715	199	8	xy	xy	PROPN
ajst-12715	200	1	y	y	PROPN
ajst-12715	200	2	s	s	PROPN
ajst-12715	200	3	x	x	X
ajst-12715	200	4	y	y	PROPN
ajst-12715	200	5	p	p	X
ajst-12715	200	6	y	y	PROPN
ajst-12715	200	7	x	x	X
ajst-12715	200	8	s	s	PROPN
ajst-12715	200	9	x	x	SYM
ajst-12715	200	10	y	y	PROPN
ajst-12715	200	11			NOUN
ajst-12715	200	12			ADV
ajst-12715	200	13			X
ajst-12715	200	14	.	.	PUNCT
ajst-12715	201	1	(	(	PUNCT
ajst-12715	201	2	15	15	X
ajst-12715	201	3	)	)	PUNCT
ajst-12715	201	4	xy	xy	PROPN
ajst-12715	201	5	denotes	denote	VERB
ajst-12715	201	6	the	the	DET
ajst-12715	201	7	set	set	NOUN
ajst-12715	201	8	of	of	ADP
ajst-12715	201	9	all	all	DET
ajst-12715	201	10	conceivable	conceivable	ADJ
ajst-12715	201	11	label	label	NOUN
ajst-12715	201	12	sequences	sequence	NOUN
ajst-12715	201	13	,	,	PUNCT
ajst-12715	201	14	while	while	SCONJ
ajst-12715	201	15	�	�	PROPN
ajst-12715	201	16	y	y	PROPN
ajst-12715	201	17	indicates	indicate	VERB
ajst-12715	201	18	the	the	DET
ajst-12715	201	19	actual	actual	ADJ
ajst-12715	201	20	label	label	NOUN
ajst-12715	201	21	sequence	sequence	NOUN
ajst-12715	201	22	.	.	PUNCT
ajst-12715	202	1	by	by	ADP
ajst-12715	202	2	applying	apply	VERB
ajst-12715	202	3	a	a	DET
ajst-12715	202	4	logarithmic	logarithmic	ADJ
ajst-12715	202	5	function	function	NOUN
ajst-12715	202	6	to	to	ADP
ajst-12715	202	7	both	both	DET
ajst-12715	202	8	sides	side	NOUN
ajst-12715	202	9	of	of	ADP
ajst-12715	202	10	equation	equation	NOUN
ajst-12715	202	11	(	(	PUNCT
ajst-12715	202	12	15	15	NUM
ajst-12715	202	13	)	)	PUNCT
ajst-12715	202	14	,	,	PUNCT
ajst-12715	202	15	equation	equation	NOUN
ajst-12715	202	16	(	(	PUNCT
ajst-12715	202	17	16	16	NUM
ajst-12715	202	18	)	)	PUNCT
ajst-12715	202	19	presents	present	VERB
ajst-12715	202	20	the	the	DET
ajst-12715	202	21	probability	probability	NOUN
ajst-12715	202	22	function	function	NOUN
ajst-12715	202	23	for	for	ADP
ajst-12715	202	24	the	the	DET
ajst-12715	202	25	anticipated	anticipated	ADJ
ajst-12715	202	26	sequence	sequence	NOUN
ajst-12715	202	27	.	.	PUNCT
ajst-12715	203	1			NOUN
ajst-12715	203	2			NOUN
ajst-12715	204	1			PROPN
ajst-12715	204	2			NOUN
ajst-12715	204	3			PROPN
ajst-12715	204	4	�	�	NOUN
ajst-12715	204	5			NOUN
ajst-12715	204	6			PROPN
ajst-12715	204	7	�	�	PROPN
ajst-12715	204	8	in	in	ADP
ajst-12715	204	9	|	|	ADV
ajst-12715	204	10	,	,	PUNCT
ajst-12715	204	11	in	in	ADV
ajst-12715	204	12	,	,	PUNCT
ajst-12715	204	13	xy	xy	PROPN
ajst-12715	205	1	y	y	PROPN
ajst-12715	206	1	p	p	X
ajst-12715	206	2	y	y	PROPN
ajst-12715	206	3	x	x	X
ajst-12715	206	4	s	s	NOUN
ajst-12715	206	5	x	x	X
ajst-12715	206	6	y	y	PROPN
ajst-12715	206	7	s	s	PROPN
ajst-12715	206	8	x	x	SYM
ajst-12715	206	9	y	y	PROPN
ajst-12715	206	10			PROPN
ajst-12715	206	11			NOUN
ajst-12715	206	12			PROPN
ajst-12715	206	13			PROPN
ajst-12715	206	14			PROPN
ajst-12715	206	15			PROPN
ajst-12715	206	16			NOUN
ajst-12715	206	17			PROPN
ajst-12715	207	1			PROPN
ajst-12715	207	2			NOUN
ajst-12715	207	3			X
ajst-12715	207	4	.	.	PUNCT
ajst-12715	208	1	(	(	PUNCT
ajst-12715	208	2	16	16	NUM
ajst-12715	208	3	)	)	PUNCT
ajst-12715	208	4	4	4	NUM
ajst-12715	208	5	.	.	PUNCT
ajst-12715	208	6	experimental	experimental	ADJ
ajst-12715	208	7	results	result	NOUN
ajst-12715	208	8	and	and	CCONJ
ajst-12715	208	9	analysis	analysis	NOUN
ajst-12715	208	10	4.1	4.1	NUM
ajst-12715	208	11	.	.	PUNCT
ajst-12715	209	1	the	the	DET
ajst-12715	209	2	dataset	dataset	NOUN
ajst-12715	209	3	4.1.1	4.1.1	PROPN
ajst-12715	209	4	.	.	PUNCT
ajst-12715	209	5	dataset	dataset	ADJ
ajst-12715	209	6	gathering	gathering	NOUN
ajst-12715	209	7	and	and	CCONJ
ajst-12715	209	8	preparation	preparation	NOUN
ajst-12715	209	9	the	the	DET
ajst-12715	209	10	text	text	NOUN
ajst-12715	209	11	in	in	ADP
ajst-12715	209	12	this	this	DET
ajst-12715	209	13	dataset	dataset	NOUN
ajst-12715	209	14	is	be	AUX
ajst-12715	209	15	sourced	source	VERB
ajst-12715	209	16	from	from	ADP
ajst-12715	209	17	the	the	DET
ajst-12715	209	18	announcements	announcement	NOUN
ajst-12715	209	19	of	of	ADP
ajst-12715	209	20	chinese	chinese	ADJ
ajst-12715	209	21	a	a	DET
ajst-12715	209	22	-	-	PUNCT
ajst-12715	209	23	share	share	NOUN
ajst-12715	209	24	listed	list	VERB
ajst-12715	209	25	companies	company	NOUN
ajst-12715	209	26	,	,	PUNCT
ajst-12715	209	27	industry	industry	NOUN
ajst-12715	209	28	research	research	NOUN
ajst-12715	209	29	reports	report	NOUN
ajst-12715	209	30	,	,	PUNCT
ajst-12715	209	31	and	and	CCONJ
ajst-12715	209	32	financial	financial	ADJ
ajst-12715	209	33	news	news	NOUN
ajst-12715	209	34	between	between	ADP
ajst-12715	209	35	2021	2021	NUM
ajst-12715	209	36	,	,	PUNCT
ajst-12715	209	37	and	and	CCONJ
ajst-12715	209	38	2022	2022	NUM
ajst-12715	209	39	.	.	PUNCT
ajst-12715	210	1	the	the	DET
ajst-12715	210	2	financial	financial	ADJ
ajst-12715	210	3	news	news	NOUN
ajst-12715	210	4	text	text	NOUN
ajst-12715	210	5	is	be	AUX
ajst-12715	210	6	obtained	obtain	VERB
ajst-12715	210	7	from	from	ADP
ajst-12715	210	8	sina	sina	PROPN
ajst-12715	210	9	finance	finance	PROPN
ajst-12715	210	10	(	(	PUNCT
ajst-12715	210	11	https://finance.sina.com.cn/	https://finance.sina.com.cn/	NOUN
ajst-12715	210	12	)	)	PUNCT
ajst-12715	210	13	,	,	PUNCT
ajst-12715	210	14	containing	contain	VERB
ajst-12715	210	15	a	a	DET
ajst-12715	210	16	wealth	wealth	NOUN
ajst-12715	210	17	of	of	ADP
ajst-12715	210	18	information	information	NOUN
ajst-12715	210	19	on	on	ADP
ajst-12715	210	20	intercompany	intercompany	NOUN
ajst-12715	210	21	relationships	relationship	NOUN
ajst-12715	210	22	in	in	ADP
ajst-12715	210	23	a	a	DET
ajst-12715	210	24	-	-	PUNCT
ajst-12715	210	25	share	share	NOUN
ajst-12715	210	26	listed	list	VERB
ajst-12715	210	27	companies	company	NOUN
ajst-12715	210	28	,	,	PUNCT
ajst-12715	210	29	such	such	ADJ
ajst-12715	210	30	as	as	ADP
ajst-12715	210	31	related	relate	VERB
ajst-12715	210	32	party	party	NOUN
ajst-12715	210	33	transactions	transaction	NOUN
ajst-12715	210	34	,	,	PUNCT
ajst-12715	210	35	and	and	CCONJ
ajst-12715	210	36	shareholding	shareholding	NOUN
ajst-12715	210	37	control	control	NOUN
ajst-12715	210	38	.	.	PUNCT
ajst-12715	211	1	the	the	DET
ajst-12715	211	2	announcements	announcement	NOUN
ajst-12715	211	3	,	,	PUNCT
ajst-12715	211	4	and	and	CCONJ
ajst-12715	211	5	research	research	NOUN
ajst-12715	211	6	reports	report	NOUN
ajst-12715	211	7	of	of	ADP
ajst-12715	211	8	listed	list	VERB
ajst-12715	211	9	companies	company	NOUN
ajst-12715	211	10	are	be	AUX
ajst-12715	211	11	sourced	source	VERB
ajst-12715	211	12	from	from	ADP
ajst-12715	211	13	the	the	DET
ajst-12715	211	14	financial	financial	ADJ
ajst-12715	211	15	data	datum	NOUN
ajst-12715	211	16	platform	platform	NOUN
ajst-12715	211	17	tushare	tushare	NOUN
ajst-12715	211	18	(	(	PUNCT
ajst-12715	211	19	https://tushare.pro	https://tushare.pro	PROPN
ajst-12715	211	20	)	)	PUNCT
ajst-12715	211	21	.	.	PUNCT
ajst-12715	212	1	these	these	DET
ajst-12715	212	2	texts	text	NOUN
ajst-12715	212	3	serve	serve	VERB
ajst-12715	212	4	as	as	ADP
ajst-12715	212	5	crucial	crucial	ADJ
ajst-12715	212	6	references	reference	NOUN
ajst-12715	212	7	for	for	ADP
ajst-12715	212	8	investor	investor	NOUN
ajst-12715	212	9	decision	decision	NOUN
ajst-12715	212	10	-	-	PUNCT
ajst-12715	212	11	making	making	NOUN
ajst-12715	212	12	,	,	PUNCT
ajst-12715	212	13	and	and	CCONJ
ajst-12715	212	14	include	include	VERB
ajst-12715	212	15	substantial	substantial	ADJ
ajst-12715	212	16	information	information	NOUN
ajst-12715	212	17	about	about	ADP
ajst-12715	212	18	entities	entity	NOUN
ajst-12715	212	19	such	such	ADJ
ajst-12715	212	20	as	as	ADP
ajst-12715	212	21	institutions	institution	NOUN
ajst-12715	212	22	,	,	PUNCT
ajst-12715	212	23	organizations	organization	NOUN
ajst-12715	212	24	,	,	PUNCT
ajst-12715	212	25	and	and	CCONJ
ajst-12715	212	26	individuals	individual	NOUN
ajst-12715	212	27	.	.	PUNCT
ajst-12715	213	1	through	through	ADP
ajst-12715	213	2	text	text	NOUN
ajst-12715	213	3	clustering	clustering	NOUN
ajst-12715	213	4	,	,	PUNCT
ajst-12715	213	5	and	and	CCONJ
ajst-12715	213	6	manual	manual	ADJ
ajst-12715	213	7	screening	screen	VERB
ajst-12715	213	8	using	use	VERB
ajst-12715	213	9	domain	domain	NOUN
ajst-12715	213	10	expertise	expertise	NOUN
ajst-12715	213	11	,	,	PUNCT
ajst-12715	213	12	the	the	DET
ajst-12715	213	13	financial	financial	ADJ
ajst-12715	213	14	news	news	NOUN
ajst-12715	213	15	articles	article	NOUN
ajst-12715	213	16	were	be	AUX
ajst-12715	213	17	curated	curate	VERB
ajst-12715	213	18	to	to	PART
ajst-12715	213	19	retain	retain	VERB
ajst-12715	213	20	only	only	ADV
ajst-12715	213	21	those	those	PRON
ajst-12715	213	22	relevant	relevant	ADJ
ajst-12715	213	23	to	to	ADP
ajst-12715	213	24	changes	change	NOUN
ajst-12715	213	25	in	in	ADP
ajst-12715	213	26	company	company	NOUN
ajst-12715	213	27	ownership	ownership	NOUN
ajst-12715	213	28	,	,	PUNCT
ajst-12715	213	29	executive	executive	ADJ
ajst-12715	213	30	management	management	NOUN
ajst-12715	213	31	,	,	PUNCT
ajst-12715	213	32	and	and	CCONJ
ajst-12715	213	33	stock	stock	NOUN
ajst-12715	213	34	market	market	NOUN
ajst-12715	213	35	developments	development	NOUN
ajst-12715	213	36	related	relate	VERB
ajst-12715	213	37	to	to	ADP
ajst-12715	213	38	a	a	DET
ajst-12715	213	39	-	-	PUNCT
ajst-12715	213	40	share	share	NOUN
ajst-12715	213	41	listed	list	VERB
ajst-12715	213	42	companies	company	NOUN
ajst-12715	213	43	.	.	PUNCT
ajst-12715	214	1	similarly	similarly	ADV
ajst-12715	214	2	,	,	PUNCT
ajst-12715	214	3	the	the	DET
ajst-12715	214	4	announcements	announcement	NOUN
ajst-12715	214	5	,	,	PUNCT
ajst-12715	214	6	and	and	CCONJ
ajst-12715	214	7	research	research	NOUN
ajst-12715	214	8	reports	report	NOUN
ajst-12715	214	9	were	be	AUX
ajst-12715	214	10	filtered	filter	VERB
ajst-12715	214	11	to	to	PART
ajst-12715	214	12	preserve	preserve	VERB
ajst-12715	214	13	texts	text	NOUN
ajst-12715	214	14	relevant	relevant	ADJ
ajst-12715	214	15	to	to	ADP
ajst-12715	214	16	specific	specific	ADJ
ajst-12715	214	17	industries	industry	NOUN
ajst-12715	214	18	,	,	PUNCT
ajst-12715	214	19	and	and	CCONJ
ajst-12715	214	20	individual	individual	ADJ
ajst-12715	214	21	stocks	stock	NOUN
ajst-12715	214	22	.	.	PUNCT
ajst-12715	215	1	as	as	ADP
ajst-12715	215	2	a	a	DET
ajst-12715	215	3	result	result	NOUN
ajst-12715	215	4	,	,	PUNCT
ajst-12715	215	5	a	a	DET
ajst-12715	215	6	dataset	dataset	NOUN
ajst-12715	215	7	consisting	consist	VERB
ajst-12715	215	8	of	of	ADP
ajst-12715	215	9	8,535	8,535	NUM
ajst-12715	215	10	news	news	NOUN
ajst-12715	215	11	texts	text	NOUN
ajst-12715	215	12	,	,	PUNCT
ajst-12715	215	13	and	and	CCONJ
ajst-12715	215	14	4,474	4,474	NUM
ajst-12715	215	15	announcements	announcement	NOUN
ajst-12715	215	16	,	,	PUNCT
ajst-12715	215	17	and	and	CCONJ
ajst-12715	215	18	research	research	NOUN
ajst-12715	215	19	reports	report	NOUN
ajst-12715	215	20	was	be	AUX
ajst-12715	215	21	obtained	obtain	VERB
ajst-12715	215	22	.	.	PUNCT
ajst-12715	216	1	to	to	PART
ajst-12715	216	2	improve	improve	VERB
ajst-12715	216	3	the	the	DET
ajst-12715	216	4	experimental	experimental	ADJ
ajst-12715	216	5	effectiveness	effectiveness	NOUN
ajst-12715	216	6	,	,	PUNCT
ajst-12715	216	7	preprocessing	preprocessing	NOUN
ajst-12715	216	8	was	be	AUX
ajst-12715	216	9	performed	perform	VERB
ajst-12715	216	10	on	on	ADP
ajst-12715	216	11	the	the	DET
ajst-12715	216	12	text	text	NOUN
ajst-12715	216	13	data	datum	NOUN
ajst-12715	216	14	,	,	PUNCT
ajst-12715	216	15	encompassing	encompass	VERB
ajst-12715	216	16	two	two	NUM
ajst-12715	216	17	steps	step	NOUN
ajst-12715	216	18	.	.	PUNCT
ajst-12715	217	1	firstly	firstly	ADV
ajst-12715	217	2	,	,	PUNCT
ajst-12715	217	3	special	special	ADJ
ajst-12715	217	4	characters	character	NOUN
ajst-12715	217	5	in	in	ADP
ajst-12715	217	6	the	the	DET
ajst-12715	217	7	text	text	NOUN
ajst-12715	217	8	that	that	PRON
ajst-12715	217	9	lack	lack	VERB
ajst-12715	217	10	actual	actual	ADJ
ajst-12715	217	11	semantic	semantic	ADJ
ajst-12715	217	12	meaning	meaning	NOUN
ajst-12715	217	13	,	,	PUNCT
ajst-12715	217	14	such	such	ADJ
ajst-12715	217	15	as	as	ADP
ajst-12715	217	16	“	"	PUNCT
ajst-12715	217	17	®	®	NOUN
ajst-12715	217	18	”	"	PUNCT
ajst-12715	217	19	,	,	PUNCT
ajst-12715	217	20	“	"	PUNCT
ajst-12715	217	21	■	■	NOUN
ajst-12715	217	22	”	"	PUNCT
ajst-12715	217	23	,	,	PUNCT
ajst-12715	217	24	and	and	CCONJ
ajst-12715	217	25	spaces	space	NOUN
ajst-12715	217	26	,	,	PUNCT
ajst-12715	217	27	were	be	AUX
ajst-12715	217	28	removed	remove	VERB
ajst-12715	217	29	.	.	PUNCT
ajst-12715	218	1	secondly	secondly	ADV
ajst-12715	218	2	,	,	PUNCT
ajst-12715	218	3	any	any	DET
ajst-12715	218	4	occurrences	occurrence	NOUN
ajst-12715	218	5	of	of	ADP
ajst-12715	218	6	traditional	traditional	ADJ
ajst-12715	218	7	chinese	chinese	ADJ
ajst-12715	218	8	characters	character	NOUN
ajst-12715	218	9	in	in	ADP
ajst-12715	218	10	the	the	DET
ajst-12715	218	11	text	text	NOUN
ajst-12715	218	12	were	be	AUX
ajst-12715	218	13	converted	convert	VERB
ajst-12715	218	14	to	to	ADP
ajst-12715	218	15	simplified	simplified	ADJ
ajst-12715	218	16	chinese	chinese	ADJ
ajst-12715	218	17	characters	character	NOUN
ajst-12715	218	18	.	.	PUNCT
ajst-12715	219	1	the	the	DET
ajst-12715	219	2	chinese	chinese	ADJ
ajst-12715	219	3	financial	financial	ADJ
ajst-12715	219	4	securities	security	NOUN
ajst-12715	219	5	dataset	dataset	NOUN
ajst-12715	219	6	encompasses	encompass	VERB
ajst-12715	219	7	six	six	NUM
ajst-12715	219	8	categories	category	NOUN
ajst-12715	219	9	of	of	ADP
ajst-12715	219	10	entities	entity	NOUN
ajst-12715	219	11	that	that	PRON
ajst-12715	219	12	influence	influence	VERB
ajst-12715	219	13	security	security	NOUN
ajst-12715	219	14	prices	price	NOUN
ajst-12715	219	15	.	.	PUNCT
ajst-12715	220	1	the	the	DET
ajst-12715	220	2	data	datum	NOUN
ajst-12715	220	3	was	be	AUX
ajst-12715	220	4	annotated	annotate	VERB
ajst-12715	220	5	in	in	ADP
ajst-12715	220	6	this	this	DET
ajst-12715	220	7	experiment	experiment	NOUN
ajst-12715	220	8	using	use	VERB
ajst-12715	220	9	the	the	DET
ajst-12715	220	10	bio	bio	NOUN
ajst-12715	221	1	[	[	X
ajst-12715	221	2	30	30	NUM
ajst-12715	221	3	]	]	X
ajst-12715	221	4	labeling	labeling	NOUN
ajst-12715	221	5	method	method	NOUN
ajst-12715	221	6	,	,	PUNCT
ajst-12715	221	7	with	with	ADP
ajst-12715	221	8	the	the	DET
ajst-12715	221	9	label	label	NOUN
ajst-12715	221	10	-	-	PUNCT
ajst-12715	221	11	studio(https://labelstud.io/	studio(https://labelstud.io/	NOUN
ajst-12715	221	12	)	)	PUNCT
ajst-12715	221	13	platform	platform	NOUN
ajst-12715	221	14	as	as	ADP
ajst-12715	221	15	the	the	DET
ajst-12715	221	16	annotation	annotation	NOUN
ajst-12715	221	17	tool	tool	NOUN
ajst-12715	221	18	.	.	PUNCT
ajst-12715	222	1	illustrations	illustration	NOUN
ajst-12715	222	2	of	of	ADP
ajst-12715	222	3	the	the	DET
ajst-12715	222	4	annotations	annotation	NOUN
ajst-12715	222	5	can	can	AUX
ajst-12715	222	6	be	be	AUX
ajst-12715	222	7	found	find	VERB
ajst-12715	222	8	in	in	ADP
ajst-12715	222	9	figure	figure	NOUN
ajst-12715	222	10	6	6	NUM
ajst-12715	222	11	,	,	PUNCT
ajst-12715	222	12	and	and	CCONJ
ajst-12715	222	13	figure	figure	VERB
ajst-12715	222	14	7	7	NUM
ajst-12715	222	15	.	.	PUNCT
ajst-12715	223	1	the	the	DET
ajst-12715	223	2	dataset	dataset	NOUN
ajst-12715	223	3	was	be	AUX
ajst-12715	223	4	divided	divide	VERB
ajst-12715	223	5	into	into	ADP
ajst-12715	223	6	training	training	NOUN
ajst-12715	223	7	,	,	PUNCT
ajst-12715	223	8	validation	validation	NOUN
ajst-12715	223	9	,	,	PUNCT
ajst-12715	223	10	and	and	CCONJ
ajst-12715	223	11	test	test	NOUN
ajst-12715	223	12	sets	set	NOUN
ajst-12715	223	13	for	for	ADP
ajst-12715	223	14	this	this	DET
ajst-12715	223	15	experiment	experiment	NOUN
ajst-12715	223	16	,	,	PUNCT
ajst-12715	223	17	with	with	ADP
ajst-12715	223	18	an	an	DET
ajst-12715	223	19	allocation	allocation	NOUN
ajst-12715	223	20	ratio	ratio	NOUN
ajst-12715	223	21	of	of	ADP
ajst-12715	223	22	8:1:1	8:1:1	PROPN
ajst-12715	223	23	.	.	PUNCT
ajst-12715	224	1	figure	figure	VERB
ajst-12715	224	2	6	6	NUM
ajst-12715	224	3	.	.	PUNCT
ajst-12715	225	1	labeling	labeling	NOUN
ajst-12715	225	2	example	example	NOUN
ajst-12715	225	3	of	of	ADP
ajst-12715	225	4	label	label	NOUN
ajst-12715	225	5	-	-	PUNCT
ajst-12715	225	6	studio	studio	NOUN
ajst-12715	225	7	.	.	PUNCT
ajst-12715	226	1	figure	figure	NOUN
ajst-12715	226	2	7	7	NUM
ajst-12715	226	3	.	.	NOUN
ajst-12715	226	4	example	example	NOUN
ajst-12715	226	5	of	of	ADP
ajst-12715	226	6	bio	bio	PROPN
ajst-12715	226	7	labeling	labeling	NOUN
ajst-12715	226	8	.	.	PUNCT
ajst-12715	227	1	the	the	DET
ajst-12715	227	2	specific	specific	ADJ
ajst-12715	227	3	details	detail	NOUN
ajst-12715	227	4	of	of	ADP
ajst-12715	227	5	entity	entity	NOUN
ajst-12715	227	6	categories	category	NOUN
ajst-12715	227	7	in	in	ADP
ajst-12715	227	8	the	the	DET
ajst-12715	227	9	chinese	chinese	ADJ
ajst-12715	227	10	financial	financial	ADJ
ajst-12715	227	11	securities	security	NOUN
ajst-12715	227	12	dataset	dataset	VERB
ajst-12715	227	13	are	be	AUX
ajst-12715	227	14	presented	present	VERB
ajst-12715	227	15	in	in	ADP
ajst-12715	227	16	table	table	NOUN
ajst-12715	227	17	1	1	NUM
ajst-12715	227	18	.	.	PUNCT
ajst-12715	227	19	table	table	NOUN
ajst-12715	227	20	1	1	NUM
ajst-12715	227	21	.	.	PUNCT
ajst-12715	228	1	statistics	statistic	NOUN
ajst-12715	228	2	of	of	ADP
ajst-12715	228	3	chinese	chinese	ADJ
ajst-12715	228	4	financial	financial	ADJ
ajst-12715	228	5	securities	security	NOUN
ajst-12715	228	6	entities	entity	NOUN
ajst-12715	228	7	.	.	PUNCT
ajst-12715	229	1	label	label	VERB
ajst-12715	229	2	num	num	ADJ
ajst-12715	229	3	category	category	NOUN
ajst-12715	229	4	entity	entity	NOUN
ajst-12715	229	5	samples	sample	NOUN
ajst-12715	229	6	per	per	ADP
ajst-12715	229	7	1564	1564	NUM
ajst-12715	229	8	name	name	NOUN
ajst-12715	229	9	of	of	ADP
ajst-12715	229	10	person	person	NOUN
ajst-12715	229	11	zhang	zhang	PROPN
ajst-12715	229	12	yifan	yifan	PROPN
ajst-12715	229	13	com	com	PROPN
ajst-12715	229	14	2239	2239	NUM
ajst-12715	229	15	name	name	NOUN
ajst-12715	229	16	of	of	ADP
ajst-12715	229	17	china	china	PROPN
ajst-12715	229	18	a	a	DET
ajst-12715	229	19	-	-	PUNCT
ajst-12715	229	20	share	share	NOUN
ajst-12715	229	21	listed	list	VERB
ajst-12715	229	22	companies	company	NOUN
ajst-12715	229	23	catl	catl	VERB
ajst-12715	229	24	new	new	ADJ
ajst-12715	229	25	energy	energy	PROPN
ajst-12715	229	26	technology	technology	PROPN
ajst-12715	229	27	co.	co.	PROPN
ajst-12715	229	28	,	,	PUNCT
ajst-12715	229	29	ltd	ltd	PROPN
ajst-12715	229	30	.	.	PROPN
ajst-12715	229	31	org	org	ADJ
ajst-12715	229	32	3286	3286	NUM
ajst-12715	229	33	name	name	NOUN
ajst-12715	229	34	of	of	ADP
ajst-12715	229	35	other	other	ADJ
ajst-12715	229	36	social	social	ADJ
ajst-12715	229	37	organizations	organization	NOUN
ajst-12715	229	38	zhejiang	zhejiang	PROPN
ajst-12715	229	39	provincial	provincial	ADJ
ajst-12715	229	40	government	government	NOUN
ajst-12715	229	41	pos	pos	NOUN
ajst-12715	229	42	1244	1244	NUM
ajst-12715	230	1	the	the	DET
ajst-12715	230	2	position	position	NOUN
ajst-12715	230	3	of	of	ADP
ajst-12715	230	4	the	the	DET
ajst-12715	230	5	person	person	NOUN
ajst-12715	230	6	in	in	ADP
ajst-12715	230	7	the	the	DET
ajst-12715	230	8	organization	organization	NOUN
ajst-12715	230	9	chairman	chairman	NOUN
ajst-12715	230	10	risk	risk	NOUN
ajst-12715	230	11	251	251	NUM
ajst-12715	230	12	risks	risk	NOUN
ajst-12715	230	13	to	to	ADP
ajst-12715	230	14	the	the	DET
ajst-12715	230	15	company	company	NOUN
ajst-12715	230	16	transaction	transaction	NOUN
ajst-12715	230	17	risk	risk	NOUN
ajst-12715	230	18	not	not	PART
ajst-12715	230	19	1201	1201	NUM
ajst-12715	230	20	announcement	announcement	NOUN
ajst-12715	230	21	issued	issue	VERB
ajst-12715	230	22	by	by	ADP
ajst-12715	230	23	the	the	DET
ajst-12715	230	24	company	company	NOUN
ajst-12715	230	25	ant	ant	PROPN
ajst-12715	230	26	technology	technology	PROPN
ajst-12715	230	27	group	group	PROPN
ajst-12715	230	28	co.	co.	PROPN
ajst-12715	230	29	,	,	PUNCT
ajst-12715	230	30	ltd	ltd	PROPN
ajst-12715	230	31	.	.	PROPN
ajst-12715	230	32	undergoes	undergo	VERB
ajst-12715	230	33	industrial	industrial	ADJ
ajst-12715	230	34	,	,	PUNCT
ajst-12715	230	35	and	and	CCONJ
ajst-12715	230	36	commercial	commercial	ADJ
ajst-12715	230	37	changes	change	NOUN
ajst-12715	230	38	4.1.2	4.1.2	NUM
ajst-12715	230	39	.	.	PUNCT
ajst-12715	231	1	other	other	ADJ
ajst-12715	231	2	datasets	dataset	NOUN
ajst-12715	231	3	in	in	ADP
ajst-12715	231	4	order	order	NOUN
ajst-12715	231	5	to	to	PART
ajst-12715	231	6	validate	validate	VERB
ajst-12715	231	7	the	the	DET
ajst-12715	231	8	applicability	applicability	NOUN
ajst-12715	231	9	of	of	ADP
ajst-12715	231	10	the	the	DET
ajst-12715	231	11	mff	mff	NOUN
ajst-12715	231	12	-	-	PUNCT
ajst-12715	231	13	cner	cner	NOUN
ajst-12715	231	14	model	model	NOUN
ajst-12715	231	15	in	in	ADP
ajst-12715	231	16	the	the	DET
ajst-12715	231	17	chinese	chinese	ADJ
ajst-12715	231	18	financial	financial	ADJ
ajst-12715	231	19	securities	security	NOUN
ajst-12715	231	20	domain	domain	NOUN
ajst-12715	231	21	,	,	PUNCT
ajst-12715	231	22	we	we	PRON
ajst-12715	231	23	also	also	ADV
ajst-12715	231	24	applied	apply	VERB
ajst-12715	231	25	the	the	DET
ajst-12715	231	26	model	model	NOUN
ajst-12715	231	27	along	along	ADP
ajst-12715	231	28	with	with	ADP
ajst-12715	231	29	five	five	NUM
ajst-12715	231	30	other	other	ADJ
ajst-12715	231	31	baseline	baseline	NOUN
ajst-12715	231	32	models	model	NOUN
ajst-12715	231	33	to	to	ADP
ajst-12715	231	34	the	the	DET
ajst-12715	231	35	weibo	weibo	NOUN
ajst-12715	232	1	[	[	X
ajst-12715	232	2	31	31	NUM
ajst-12715	232	3	,	,	PUNCT
ajst-12715	232	4	32	32	NUM
ajst-12715	232	5	]	]	PUNCT
ajst-12715	232	6	dataset	dataset	NOUN
ajst-12715	232	7	,	,	PUNCT
ajst-12715	232	8	and	and	CCONJ
ajst-12715	232	9	the	the	DET
ajst-12715	232	10	msra	msra	PROPN
ajst-12715	232	11	[	[	X
ajst-12715	232	12	33	33	NUM
ajst-12715	232	13	]	]	PUNCT
ajst-12715	232	14	dataset	dataset	NOUN
ajst-12715	232	15	,	,	PUNCT
ajst-12715	232	16	representing	represent	VERB
ajst-12715	232	17	the	the	DET
ajst-12715	232	18	social	social	ADJ
ajst-12715	232	19	media	medium	NOUN
ajst-12715	232	20	,	,	PUNCT
ajst-12715	232	21	and	and	CCONJ
ajst-12715	232	22	news	news	NOUN
ajst-12715	232	23	domains	domain	NOUN
ajst-12715	232	24	,	,	PUNCT
ajst-12715	232	25	respectively	respectively	ADV
ajst-12715	232	26	.	.	PUNCT
ajst-12715	233	1	since	since	SCONJ
ajst-12715	233	2	the	the	DET
ajst-12715	233	3	msra	msra	PROPN
ajst-12715	233	4	dataset	dataset	NOUN
ajst-12715	233	5	does	do	AUX
ajst-12715	233	6	not	not	PART
ajst-12715	233	7	have	have	VERB
ajst-12715	233	8	a	a	DET
ajst-12715	233	9	validation	validation	NOUN
ajst-12715	233	10	set	set	NOUN
ajst-12715	233	11	,	,	PUNCT
ajst-12715	233	12	the	the	DET
ajst-12715	233	13	test	test	NOUN
ajst-12715	233	14	set	set	NOUN
ajst-12715	233	15	was	be	AUX
ajst-12715	233	16	divided	divide	VERB
ajst-12715	233	17	into	into	ADP
ajst-12715	233	18	a	a	DET
ajst-12715	233	19	5:5	5:5	NUM
ajst-12715	233	20	ratio	ratio	NOUN
ajst-12715	233	21	.	.	PUNCT
ajst-12715	234	1	the	the	DET
ajst-12715	234	2	basic	basic	ADJ
ajst-12715	234	3	information	information	NOUN
ajst-12715	234	4	of	of	ADP
ajst-12715	234	5	these	these	DET
ajst-12715	234	6	two	two	NUM
ajst-12715	234	7	datasets	dataset	NOUN
ajst-12715	234	8	is	be	AUX
ajst-12715	234	9	presented	present	VERB
ajst-12715	234	10	in	in	ADP
ajst-12715	234	11	table	table	NOUN
ajst-12715	234	12	2	2	NUM
ajst-12715	234	13	.	.	PUNCT
ajst-12715	234	14	table	table	NOUN
ajst-12715	234	15	2	2	NUM
ajst-12715	234	16	.	.	PUNCT
ajst-12715	235	1	statistics	statistic	NOUN
ajst-12715	235	2	of	of	ADP
ajst-12715	235	3	weibo	weibo	NOUN
ajst-12715	235	4	,	,	PUNCT
ajst-12715	235	5	and	and	CCONJ
ajst-12715	235	6	msra	msra	PROPN
ajst-12715	235	7	.	.	PROPN
ajst-12715	235	8	dataset	dataset	PROPN
ajst-12715	235	9	type	type	NOUN
ajst-12715	235	10	train	train	NOUN
ajst-12715	235	11	test	test	NOUN
ajst-12715	235	12	dev	dev	PROPN
ajst-12715	235	13	weibo	weibo	PROPN
ajst-12715	235	14	sentences	sentence	VERB
ajst-12715	235	15	1.4k	1.4k	NUM
ajst-12715	235	16	0.27k	0.27k	NUM
ajst-12715	235	17	0.27k	0.27k	NUM
ajst-12715	235	18	char	char	NOUN
ajst-12715	235	19	73.8k	73.8k	NUM
ajst-12715	235	20	14.8k	14.8k	NUM
ajst-12715	235	21	14.5k	14.5k	NUM
ajst-12715	235	22	entities	entity	NOUN
ajst-12715	235	23	1.89k	1.89k	NUM
ajst-12715	235	24	0.42k	0.42k	NUM
ajst-12715	235	25	0.39k	0.39k	NUM
ajst-12715	235	26	msra	msra	ADV
ajst-12715	235	27	sentences	sentence	VERB
ajst-12715	235	28	46.4k	46.4k	NUM
ajst-12715	235	29	4.4k	4.4k	NUM
ajst-12715	235	30	—	—	PUNCT
ajst-12715	235	31	char	char	NOUN
ajst-12715	235	32	2169.9k	2169.9k	NOUN
ajst-12715	235	33	172.6k	172.6k	NUM
ajst-12715	235	34	—	—	PUNCT
ajst-12715	235	35	entities	entity	NOUN
ajst-12715	236	1	74.8k	74.8k	NUM
ajst-12715	236	2	6.2k	6.2k	NUM
ajst-12715	236	3	—	—	PUNCT
ajst-12715	236	4	45	45	NUM
ajst-12715	236	5	4.2	4.2	NUM
ajst-12715	236	6	.	.	PUNCT
ajst-12715	237	1	experiment	experiment	NOUN
ajst-12715	237	2	settings	setting	NOUN
ajst-12715	237	3	our	our	PRON
ajst-12715	237	4	model	model	NOUN
ajst-12715	237	5	was	be	AUX
ajst-12715	237	6	implemented	implement	VERB
ajst-12715	237	7	in	in	ADP
ajst-12715	237	8	the	the	DET
ajst-12715	237	9	pytorch	pytorch	NOUN
ajst-12715	237	10	framework	framework	NOUN
ajst-12715	237	11	,	,	PUNCT
ajst-12715	237	12	,	,	PUNCT
ajst-12715	237	13	and	and	CCONJ
ajst-12715	237	14	the	the	DET
ajst-12715	237	15	adam	adam	PROPN
ajst-12715	237	16	optimizer	optimizer	NOUN
ajst-12715	237	17	was	be	AUX
ajst-12715	237	18	utilized	utilize	VERB
ajst-12715	237	19	to	to	PART
ajst-12715	237	20	tune	tune	VERB
ajst-12715	237	21	the	the	DET
ajst-12715	237	22	parameters	parameter	NOUN
ajst-12715	237	23	.	.	PUNCT
ajst-12715	238	1	the	the	DET
ajst-12715	238	2	weight	weight	NOUN
ajst-12715	238	3	decay	decay	NOUN
ajst-12715	238	4	was	be	AUX
ajst-12715	238	5	set	set	VERB
ajst-12715	238	6	to	to	ADP
ajst-12715	238	7	0.00005	0.00005	NUM
ajst-12715	238	8	,	,	PUNCT
ajst-12715	238	9	and	and	CCONJ
ajst-12715	238	10	the	the	DET
ajst-12715	238	11	gpu	gpu	NOUN
ajst-12715	238	12	employed	employ	VERB
ajst-12715	238	13	was	be	AUX
ajst-12715	238	14	the	the	DET
ajst-12715	238	15	rtx	rtx	PROPN
ajst-12715	238	16	a5000	a5000	PROPN
ajst-12715	238	17	.	.	PUNCT
ajst-12715	239	1	the	the	DET
ajst-12715	239	2	specific	specific	ADJ
ajst-12715	239	3	parameters	parameter	NOUN
ajst-12715	239	4	for	for	ADP
ajst-12715	239	5	each	each	DET
ajst-12715	239	6	model	model	NOUN
ajst-12715	239	7	are	be	AUX
ajst-12715	239	8	presented	present	VERB
ajst-12715	239	9	in	in	ADP
ajst-12715	239	10	table	table	NOUN
ajst-12715	239	11	3	3	NUM
ajst-12715	239	12	.	.	PUNCT
ajst-12715	239	13	table	table	NOUN
ajst-12715	239	14	3	3	NUM
ajst-12715	239	15	.	.	PUNCT
ajst-12715	240	1	parameter	parameter	NOUN
ajst-12715	240	2	settings	setting	NOUN
ajst-12715	240	3	of	of	ADP
ajst-12715	240	4	various	various	ADJ
ajst-12715	240	5	methods	method	NOUN
ajst-12715	240	6	.	.	PUNCT
ajst-12715	241	1	models	model	NOUN
ajst-12715	241	2	parameters	parameter	NOUN
ajst-12715	241	3	and	and	CCONJ
ajst-12715	241	4	description	description	NOUN
ajst-12715	241	5	models	model	NOUN
ajst-12715	241	6	parameters	parameter	NOUN
ajst-12715	241	7	and	and	CCONJ
ajst-12715	241	8	description	description	NOUN
ajst-12715	241	9	bilstm	bilstm	PROPN
ajst-12715	241	10	-	-	PUNCT
ajst-12715	241	11	crf	crf	PROPN
ajst-12715	241	12	max	max	PROPN
ajst-12715	241	13	sequence	sequence	NOUN
ajst-12715	241	14	length	length	NOUN
ajst-12715	241	15	:	:	PUNCT
ajst-12715	241	16	64	64	NUM
ajst-12715	241	17	uie	uie	PROPN
ajst-12715	241	18	bach	bach	NOUN
ajst-12715	241	19	size	size	NOUN
ajst-12715	241	20	:	:	PUNCT
ajst-12715	241	21	16	16	NUM
ajst-12715	241	22	model	model	NOUN
ajst-12715	241	23	:	:	PUNCT
ajst-12715	241	24	uie	uie	NOUN
ajst-12715	241	25	-	-	PUNCT
ajst-12715	241	26	base	base	NOUN
ajst-12715	241	27	rnn	rnn	NOUN
ajst-12715	241	28	layer	layer	NOUN
ajst-12715	241	29	:	:	PUNCT
ajst-12715	241	30	1	1	NUM
ajst-12715	241	31	max	max	NOUN
ajst-12715	241	32	sequence	sequence	NOUN
ajst-12715	241	33	length	length	NOUN
ajst-12715	241	34	:	:	PUNCT
ajst-12715	241	35	512	512	NUM
ajst-12715	241	36	rnn	rnn	VERB
ajst-12715	241	37	hidden	hide	VERB
ajst-12715	241	38	dimension	dimension	NOUN
ajst-12715	241	39	:	:	PUNCT
ajst-12715	241	40	128	128	NUM
ajst-12715	241	41	batch	batch	NOUN
ajst-12715	241	42	size	size	NOUN
ajst-12715	241	43	:	:	PUNCT
ajst-12715	241	44	16	16	NUM
ajst-12715	241	45	learning	learning	NOUN
ajst-12715	241	46	rate	rate	NOUN
ajst-12715	241	47	:	:	PUNCT
ajst-12715	241	48	0.0003	0.0003	NUM
ajst-12715	241	49	learning	learning	NOUN
ajst-12715	241	50	rate	rate	NOUN
ajst-12715	241	51	:	:	PUNCT
ajst-12715	241	52	0.00001	0.00001	NUM
ajst-12715	241	53	dropout	dropout	NOUN
ajst-12715	241	54	rate	rate	NOUN
ajst-12715	241	55	:	:	PUNCT
ajst-12715	241	56	0.3	0.3	NUM
ajst-12715	241	57	epochs	epoch	NOUN
ajst-12715	241	58	:	:	PUNCT
ajst-12715	241	59	20	20	NUM
ajst-12715	241	60	epochs	epoch	NOUN
ajst-12715	241	61	:	:	PUNCT
ajst-12715	241	62	64	64	NUM
ajst-12715	241	63	idcnn	idcnn	PROPN
ajst-12715	241	64	-	-	PUNCT
ajst-12715	241	65	crf	crf	NOUN
ajst-12715	241	66	globalpoint	globalpoint	NOUN
ajst-12715	241	67	encoder	encoder	NOUN
ajst-12715	241	68	:	:	PUNCT
ajst-12715	241	69	chinese	chinese	ADJ
ajst-12715	241	70	-	-	PUNCT
ajst-12715	241	71	bert	bert	PROPN
ajst-12715	241	72	-	-	PUNCT
ajst-12715	241	73	wwm	wwm	PROPN
ajst-12715	241	74	activation	activation	NOUN
ajst-12715	241	75	function	function	NOUN
ajst-12715	241	76	:	:	PUNCT
ajst-12715	241	77	gelu	gelu	PROPN
ajst-12715	241	78	max	max	PROPN
ajst-12715	241	79	sequence	sequence	NOUN
ajst-12715	241	80	length	length	NOUN
ajst-12715	241	81	:	:	PUNCT
ajst-12715	241	82	64	64	NUM
ajst-12715	241	83	max	max	PROPN
ajst-12715	241	84	sequence	sequence	NOUN
ajst-12715	241	85	length	length	NOUN
ajst-12715	241	86	:	:	PUNCT
ajst-12715	241	87	128	128	NUM
ajst-12715	241	88	bach	bach	NOUN
ajst-12715	241	89	size	size	NOUN
ajst-12715	241	90	:	:	PUNCT
ajst-12715	241	91	16	16	NUM
ajst-12715	241	92	bach	bach	NOUN
ajst-12715	241	93	size	size	NOUN
ajst-12715	241	94	:	:	PUNCT
ajst-12715	241	95	16	16	NUM
ajst-12715	241	96	convolutional	convolutional	ADJ
ajst-12715	241	97	filters	filter	NOUN
ajst-12715	241	98	:	:	PUNCT
ajst-12715	241	99	120	120	NUM
ajst-12715	241	100	learning	learning	NOUN
ajst-12715	241	101	rate	rate	NOUN
ajst-12715	241	102	:	:	PUNCT
ajst-12715	241	103	0.00002	0.00002	NUM
ajst-12715	241	104	learning	learning	NOUN
ajst-12715	241	105	rate	rate	NOUN
ajst-12715	241	106	:	:	PUNCT
ajst-12715	241	107	0.0003	0.0003	NUM
ajst-12715	241	108	dropout	dropout	NOUN
ajst-12715	241	109	rate	rate	NOUN
ajst-12715	241	110	:	:	PUNCT
ajst-12715	241	111	0.1	0.1	NUM
ajst-12715	241	112	dropout	dropout	NOUN
ajst-12715	241	113	rate	rate	NOUN
ajst-12715	241	114	:	:	PUNCT
ajst-12715	241	115	0.3	0.3	NUM
ajst-12715	241	116	epochs	epoch	NOUN
ajst-12715	241	117	:	:	PUNCT
ajst-12715	241	118	5	5	NUM
ajst-12715	241	119	epochs	epoch	NOUN
ajst-12715	241	120	:	:	PUNCT
ajst-12715	241	121	64	64	NUM
ajst-12715	241	122	attention	attention	NOUN
ajst-12715	241	123	heads	head	NOUN
ajst-12715	241	124	:	:	PUNCT
ajst-12715	241	125	12	12	NUM
ajst-12715	241	126	hidden	hidden	ADJ
ajst-12715	241	127	size	size	NOUN
ajst-12715	241	128	:	:	PUNCT
ajst-12715	241	129	768	768	NUM
ajst-12715	241	130	bert_crf	bert_crf	NUM
ajst-12715	241	131	mff	mff	NOUN
ajst-12715	241	132	-	-	PUNCT
ajst-12715	241	133	cner	cner	NOUN
ajst-12715	241	134	max	max	PROPN
ajst-12715	241	135	sequence	sequence	NOUN
ajst-12715	241	136	length	length	NOUN
ajst-12715	241	137	:	:	PUNCT
ajst-12715	241	138	128	128	NUM
ajst-12715	241	139	bach	bach	NOUN
ajst-12715	241	140	size	size	NOUN
ajst-12715	241	141	:	:	PUNCT
ajst-12715	241	142	64	64	NUM
ajst-12715	241	143	max	max	NOUN
ajst-12715	241	144	sequence	sequence	NOUN
ajst-12715	241	145	length	length	NOUN
ajst-12715	241	146	:	:	PUNCT
ajst-12715	241	147	64	64	NUM
ajst-12715	241	148	bert	bert	NOUN
ajst-12715	241	149	embedding	embed	VERB
ajst-12715	241	150	dimension	dimension	NOUN
ajst-12715	241	151	:	:	PUNCT
ajst-12715	241	152	768	768	NUM
ajst-12715	241	153	bach	bach	NOUN
ajst-12715	241	154	size	size	NOUN
ajst-12715	241	155	:	:	PUNCT
ajst-12715	241	156	16	16	NUM
ajst-12715	241	157	rnn	rnn	NOUN
ajst-12715	241	158	layer	layer	NOUN
ajst-12715	241	159	:	:	PUNCT
ajst-12715	241	160	1	1	NUM
ajst-12715	241	161	bert	bert	NOUN
ajst-12715	241	162	embedding	embed	VERB
ajst-12715	241	163	dimension	dimension	NOUN
ajst-12715	241	164	:	:	PUNCT
ajst-12715	241	165	768	768	NUM
ajst-12715	241	166	rnn	rnn	VERB
ajst-12715	241	167	hidden	hide	VERB
ajst-12715	241	168	dimension	dimension	NOUN
ajst-12715	241	169	:	:	PUNCT
ajst-12715	241	170	128	128	NUM
ajst-12715	241	171	learning	learning	NOUN
ajst-12715	241	172	rate	rate	NOUN
ajst-12715	241	173	:	:	PUNCT
ajst-12715	241	174	0.0001	0.0001	NUM
ajst-12715	241	175	attention	attention	NOUN
ajst-12715	241	176	heads	head	NOUN
ajst-12715	241	177	:	:	PUNCT
ajst-12715	241	178	12	12	NUM
ajst-12715	241	179	dropout	dropout	NOUN
ajst-12715	241	180	rate	rate	NOUN
ajst-12715	241	181	:	:	PUNCT
ajst-12715	241	182	0.8	0.8	NUM
ajst-12715	241	183	convolutional	convolutional	ADJ
ajst-12715	241	184	filters	filter	NOUN
ajst-12715	241	185	:	:	PUNCT
ajst-12715	241	186	120	120	NUM
ajst-12715	241	187	epochs	epoch	NOUN
ajst-12715	241	188	:	:	PUNCT
ajst-12715	241	189	64	64	NUM
ajst-12715	241	190	learning	learning	NOUN
ajst-12715	241	191	rate	rate	NOUN
ajst-12715	241	192	:	:	PUNCT
ajst-12715	241	193	0.00003	0.00003	NUM
ajst-12715	241	194	dropout	dropout	NOUN
ajst-12715	241	195	rate	rate	NOUN
ajst-12715	241	196	:	:	PUNCT
ajst-12715	241	197	0.3	0.3	NUM
ajst-12715	241	198	epochs	epoch	NOUN
ajst-12715	241	199	:	:	PUNCT
ajst-12715	241	200	48	48	NUM
ajst-12715	241	201	4.3	4.3	NUM
ajst-12715	241	202	.	.	PUNCT
ajst-12715	242	1	evaluation	evaluation	NOUN
ajst-12715	242	2	indicators	indicator	NOUN
ajst-12715	242	3	the	the	DET
ajst-12715	242	4	assessment	assessment	NOUN
ajst-12715	242	5	of	of	ADP
ajst-12715	242	6	ner	ner	NOUN
ajst-12715	242	7	performance	performance	NOUN
ajst-12715	242	8	in	in	ADP
ajst-12715	242	9	this	this	DET
ajst-12715	242	10	investigation	investigation	NOUN
ajst-12715	242	11	utilized	utilize	VERB
ajst-12715	242	12	precision	precision	NOUN
ajst-12715	242	13	(	(	PUNCT
ajst-12715	242	14	p	p	NOUN
ajst-12715	242	15	)	)	PUNCT
ajst-12715	242	16	,	,	PUNCT
ajst-12715	242	17	recall	recall	INTJ
ajst-12715	242	18	(	(	PUNCT
ajst-12715	242	19	r	r	NOUN
ajst-12715	242	20	)	)	PUNCT
ajst-12715	242	21	,	,	PUNCT
ajst-12715	242	22	and	and	CCONJ
ajst-12715	242	23	f1	f1	ADJ
ajst-12715	242	24	-	-	PUNCT
ajst-12715	242	25	score	score	NOUN
ajst-12715	242	26	measures	measure	NOUN
ajst-12715	242	27	,	,	PUNCT
ajst-12715	242	28	which	which	PRON
ajst-12715	242	29	are	be	AUX
ajst-12715	242	30	mathematically	mathematically	ADV
ajst-12715	242	31	expressed	express	VERB
ajst-12715	242	32	as	as	SCONJ
ajst-12715	242	33	follows	follow	VERB
ajst-12715	242	34	:	:	PUNCT
ajst-12715	242	35			PROPN
ajst-12715	242	36	precision	precision	NOUN
ajst-12715	242	37	100	100	NUM
ajst-12715	242	38	%	%	NOUN
ajst-12715	242	39	tp	tp	ADP
ajst-12715	242	40	p	p	NOUN
ajst-12715	242	41	tp	tp	ADP
ajst-12715	242	42	fp	fp	PROPN
ajst-12715	242	43			PROPN
ajst-12715	242	44			NOUN
ajst-12715	242	45			PUNCT
ajst-12715	242	46	.	.	PUNCT
ajst-12715	243	1	(	(	PUNCT
ajst-12715	243	2	17	17	NUM
ajst-12715	243	3	)	)	PUNCT
ajst-12715	243	4			NOUN
ajst-12715	243	5	recall	recall	NOUN
ajst-12715	243	6	100	100	NUM
ajst-12715	243	7	%	%	NOUN
ajst-12715	243	8	tp	tp	ADP
ajst-12715	243	9	r	r	NOUN
ajst-12715	243	10	tp	tp	NOUN
ajst-12715	243	11	fn	fn	NOUN
ajst-12715	244	1			PROPN
ajst-12715	244	2			NOUN
ajst-12715	244	3			PROPN
ajst-12715	244	4	.	.	PUNCT
ajst-12715	245	1	(	(	PUNCT
ajst-12715	245	2	18	18	NUM
ajst-12715	245	3	)	)	SYM
ajst-12715	245	4	2	2	NUM
ajst-12715	245	5	f1	f1	NOUN
ajst-12715	245	6	100	100	NUM
ajst-12715	245	7	%	%	NOUN
ajst-12715	245	8	p	p	NOUN
ajst-12715	245	9	r	r	NOUN
ajst-12715	245	10	p	p	NOUN
ajst-12715	245	11	r	r	NOUN
ajst-12715	245	12			NOUN
ajst-12715	245	13			PROPN
ajst-12715	245	14			PROPN
ajst-12715	245	15			PROPN
ajst-12715	245	16			PROPN
ajst-12715	245	17	.	.	PUNCT
ajst-12715	246	1	(	(	PUNCT
ajst-12715	246	2	19	19	NUM
ajst-12715	246	3	)	)	PUNCT
ajst-12715	246	4	tp	tp	NOUN
ajst-12715	246	5	denotes	denote	VERB
ajst-12715	246	6	the	the	DET
ajst-12715	246	7	scenarios	scenario	NOUN
ajst-12715	246	8	in	in	ADP
ajst-12715	246	9	which	which	PRON
ajst-12715	246	10	the	the	DET
ajst-12715	246	11	predicted	predict	VERB
ajst-12715	246	12	,	,	PUNCT
ajst-12715	246	13	and	and	CCONJ
ajst-12715	246	14	actual	actual	ADJ
ajst-12715	246	15	values	value	NOUN
ajst-12715	246	16	are	be	AUX
ajst-12715	246	17	both	both	ADV
ajst-12715	246	18	affirmative	affirmative	ADJ
ajst-12715	246	19	;	;	PUNCT
ajst-12715	246	20	fp	fp	NUM
ajst-12715	246	21	corresponds	correspond	VERB
ajst-12715	246	22	to	to	ADP
ajst-12715	246	23	the	the	DET
ajst-12715	246	24	scenarios	scenario	NOUN
ajst-12715	246	25	in	in	ADP
ajst-12715	246	26	which	which	PRON
ajst-12715	246	27	the	the	DET
ajst-12715	246	28	predicted	predict	VERB
ajst-12715	246	29	value	value	NOUN
ajst-12715	246	30	is	be	AUX
ajst-12715	246	31	positive	positive	ADJ
ajst-12715	246	32	while	while	SCONJ
ajst-12715	246	33	the	the	DET
ajst-12715	246	34	actual	actual	ADJ
ajst-12715	246	35	value	value	NOUN
ajst-12715	246	36	is	be	AUX
ajst-12715	246	37	negative	negative	ADJ
ajst-12715	246	38	;	;	PUNCT
ajst-12715	246	39	fn	fn	NOUN
ajst-12715	246	40	represents	represent	VERB
ajst-12715	246	41	the	the	DET
ajst-12715	246	42	scenarios	scenario	NOUN
ajst-12715	246	43	in	in	ADP
ajst-12715	246	44	which	which	PRON
ajst-12715	246	45	the	the	DET
ajst-12715	246	46	predicted	predict	VERB
ajst-12715	246	47	value	value	NOUN
ajst-12715	246	48	is	be	AUX
ajst-12715	246	49	negative	negative	ADJ
ajst-12715	246	50	while	while	SCONJ
ajst-12715	246	51	the	the	DET
ajst-12715	246	52	actual	actual	ADJ
ajst-12715	246	53	value	value	NOUN
ajst-12715	246	54	is	be	AUX
ajst-12715	246	55	positive	positive	ADJ
ajst-12715	246	56	.	.	PUNCT
ajst-12715	247	1	4.4	4.4	NUM
ajst-12715	247	2	.	.	PUNCT
ajst-12715	248	1	baseline	baseline	PROPN
ajst-12715	248	2	methods	method	NOUN
ajst-12715	248	3	bilstm	bilstm	NOUN
ajst-12715	248	4	-	-	PUNCT
ajst-12715	248	5	crf	crf	NOUN
ajst-12715	249	1	[	[	X
ajst-12715	249	2	13	13	NUM
ajst-12715	249	3	]	]	X
ajst-12715	249	4	:	:	PUNCT
ajst-12715	249	5	this	this	DET
ajst-12715	249	6	method	method	NOUN
ajst-12715	249	7	is	be	AUX
ajst-12715	249	8	a	a	DET
ajst-12715	249	9	commonly	commonly	ADV
ajst-12715	249	10	used	use	VERB
ajst-12715	249	11	model	model	NOUN
ajst-12715	249	12	architecture	architecture	NOUN
ajst-12715	249	13	for	for	ADP
ajst-12715	249	14	ner	ner	NOUN
ajst-12715	249	15	in	in	ADP
ajst-12715	249	16	the	the	DET
ajst-12715	249	17	financial	financial	ADJ
ajst-12715	249	18	domain	domain	NOUN
ajst-12715	249	19	.	.	PUNCT
ajst-12715	250	1	idcnn	idcnn	PROPN
ajst-12715	250	2	-	-	PUNCT
ajst-12715	250	3	crf	crf	NOUN
ajst-12715	251	1	[	[	X
ajst-12715	251	2	20	20	NUM
ajst-12715	251	3	]	]	PUNCT
ajst-12715	251	4	:	:	PUNCT
ajst-12715	251	5	the	the	DET
ajst-12715	251	6	idcnn	idcnn	PROPN
ajst-12715	251	7	network	network	NOUN
ajst-12715	251	8	exhibits	exhibit	VERB
ajst-12715	251	9	stronger	strong	ADJ
ajst-12715	251	10	capabilities	capability	NOUN
ajst-12715	251	11	in	in	ADP
ajst-12715	251	12	extracting	extract	VERB
ajst-12715	251	13	local	local	ADJ
ajst-12715	251	14	information	information	NOUN
ajst-12715	251	15	than	than	ADP
ajst-12715	251	16	the	the	DET
ajst-12715	251	17	bilstm	bilstm	NOUN
ajst-12715	251	18	network	network	NOUN
ajst-12715	251	19	.	.	PUNCT
ajst-12715	252	1	the	the	DET
ajst-12715	252	2	mff	mff	NOUN
ajst-12715	252	3	-	-	PUNCT
ajst-12715	252	4	cner	cner	NOUN
ajst-12715	252	5	method	method	NOUN
ajst-12715	252	6	also	also	ADV
ajst-12715	252	7	utilizes	utilize	VERB
ajst-12715	252	8	this	this	DET
ajst-12715	252	9	structure	structure	NOUN
ajst-12715	252	10	.	.	PUNCT
ajst-12715	253	1	bert	bert	PROPN
ajst-12715	253	2	-	-	PUNCT
ajst-12715	253	3	crf	crf	NOUN
ajst-12715	253	4	:	:	PUNCT
ajst-12715	253	5	this	this	DET
ajst-12715	253	6	method	method	NOUN
ajst-12715	253	7	employs	employ	VERB
ajst-12715	253	8	bert	bert	PROPN
ajst-12715	253	9	as	as	ADP
ajst-12715	253	10	a	a	DET
ajst-12715	253	11	pre	pre	ADJ
ajst-12715	253	12	-	-	ADJ
ajst-12715	253	13	training	training	ADJ
ajst-12715	253	14	model	model	NOUN
ajst-12715	253	15	,	,	PUNCT
ajst-12715	253	16	and	and	CCONJ
ajst-12715	253	17	utilizes	utilize	VERB
ajst-12715	253	18	crf	crf	PROPN
ajst-12715	253	19	for	for	ADP
ajst-12715	253	20	entity	entity	NOUN
ajst-12715	253	21	prediction	prediction	NOUN
ajst-12715	253	22	decoding	decode	VERB
ajst-12715	253	23	.	.	PUNCT
ajst-12715	254	1	it	it	PRON
ajst-12715	254	2	is	be	AUX
ajst-12715	254	3	currently	currently	ADV
ajst-12715	254	4	a	a	DET
ajst-12715	254	5	mainstream	mainstream	NOUN
ajst-12715	254	6	model	model	NOUN
ajst-12715	254	7	frequently	frequently	ADV
ajst-12715	254	8	used	use	VERB
ajst-12715	254	9	as	as	ADP
ajst-12715	254	10	a	a	DET
ajst-12715	254	11	benchmark	benchmark	NOUN
ajst-12715	254	12	for	for	ADP
ajst-12715	254	13	comparison	comparison	NOUN
ajst-12715	254	14	.	.	PUNCT
ajst-12715	255	1	globalpoint	globalpoint	NOUN
ajst-12715	256	1	[	[	X
ajst-12715	256	2	34	34	NUM
ajst-12715	256	3	]	]	X
ajst-12715	256	4	:	:	PUNCT
ajst-12715	256	5	the	the	DET
ajst-12715	256	6	model	model	NOUN
ajst-12715	256	7	proposed	propose	VERB
ajst-12715	256	8	by	by	ADP
ajst-12715	256	9	su	su	PROPN
ajst-12715	256	10	j	j	PROPN
ajst-12715	256	11	et	et	PROPN
ajst-12715	256	12	al	al	PROPN
ajst-12715	256	13	.	.	PROPN
ajst-12715	256	14	takes	take	VERB
ajst-12715	256	15	a	a	DET
ajst-12715	256	16	global	global	ADJ
ajst-12715	256	17	perspective	perspective	NOUN
ajst-12715	256	18	to	to	PART
ajst-12715	256	19	consider	consider	VERB
ajst-12715	256	20	the	the	DET
ajst-12715	256	21	starting	starting	NOUN
ajst-12715	256	22	position	position	NOUN
ajst-12715	256	23	of	of	ADP
ajst-12715	256	24	entities	entity	NOUN
ajst-12715	256	25	,	,	PUNCT
ajst-12715	256	26	enabling	enable	VERB
ajst-12715	256	27	unbiased	unbiased	ADJ
ajst-12715	256	28	recognition	recognition	NOUN
ajst-12715	256	29	of	of	ADP
ajst-12715	256	30	both	both	PRON
ajst-12715	256	31	nested	nest	VERB
ajst-12715	256	32	,	,	PUNCT
ajst-12715	256	33	and	and	CCONJ
ajst-12715	256	34	non	non	ADJ
ajst-12715	256	35	-	-	ADJ
ajst-12715	256	36	nested	nested	ADJ
ajst-12715	256	37	entities	entity	NOUN
ajst-12715	256	38	.	.	PUNCT
ajst-12715	257	1	uie	uie	PROPN
ajst-12715	258	1	[	[	X
ajst-12715	258	2	35	35	NUM
ajst-12715	258	3	]	]	X
ajst-12715	258	4	:	:	PUNCT
ajst-12715	258	5	the	the	DET
ajst-12715	258	6	model	model	NOUN
ajst-12715	258	7	lu	lu	PROPN
ajst-12715	258	8	y	y	PROPN
ajst-12715	258	9	et	et	PROPN
ajst-12715	258	10	al	al	PROPN
ajst-12715	258	11	.	.	PROPN
ajst-12715	258	12	proposed	propose	VERB
ajst-12715	258	13	is	be	AUX
ajst-12715	258	14	a	a	DET
ajst-12715	258	15	unified	unified	ADJ
ajst-12715	258	16	textto	textto	ADJ
ajst-12715	258	17	-	-	PUNCT
ajst-12715	258	18	structure	structure	NOUN
ajst-12715	258	19	generation	generation	NOUN
ajst-12715	258	20	framework	framework	NOUN
ajst-12715	258	21	specifically	specifically	ADV
ajst-12715	258	22	designed	design	VERB
ajst-12715	258	23	for	for	ADP
ajst-12715	258	24	information	information	NOUN
ajst-12715	258	25	extraction	extraction	NOUN
ajst-12715	258	26	.	.	PUNCT
ajst-12715	259	1	it	it	PRON
ajst-12715	259	2	has	have	AUX
ajst-12715	259	3	achieved	achieve	VERB
ajst-12715	259	4	state	state	NOUN
ajst-12715	259	5	-	-	PUNCT
ajst-12715	259	6	of	of	ADP
ajst-12715	259	7	-	-	PUNCT
ajst-12715	259	8	the	the	DET
ajst-12715	259	9	-	-	PUNCT
ajst-12715	259	10	art	art	NOUN
ajst-12715	259	11	entity	entity	NOUN
ajst-12715	259	12	extraction	extraction	NOUN
ajst-12715	259	13	performance	performance	NOUN
ajst-12715	259	14	across	across	ADP
ajst-12715	259	15	multiple	multiple	ADJ
ajst-12715	259	16	datasets	dataset	NOUN
ajst-12715	259	17	.	.	PUNCT
ajst-12715	260	1	4.5	4.5	NUM
ajst-12715	260	2	.	.	PUNCT
ajst-12715	261	1	analysis	analysis	NOUN
ajst-12715	261	2	of	of	ADP
ajst-12715	261	3	experimental	experimental	ADJ
ajst-12715	261	4	results	result	NOUN
ajst-12715	261	5	the	the	DET
ajst-12715	261	6	experimental	experimental	ADJ
ajst-12715	261	7	results	result	NOUN
ajst-12715	261	8	of	of	ADP
ajst-12715	261	9	these	these	DET
ajst-12715	261	10	six	six	NUM
ajst-12715	261	11	models	model	NOUN
ajst-12715	261	12	on	on	ADP
ajst-12715	261	13	different	different	ADJ
ajst-12715	261	14	datasets	dataset	NOUN
ajst-12715	261	15	are	be	AUX
ajst-12715	261	16	presented	present	VERB
ajst-12715	261	17	in	in	ADP
ajst-12715	261	18	table	table	NOUN
ajst-12715	261	19	4	4	NUM
ajst-12715	261	20	.	.	PUNCT
ajst-12715	261	21	table	table	NOUN
ajst-12715	261	22	4	4	NUM
ajst-12715	261	23	.	.	PUNCT
ajst-12715	261	24	experiment	experiment	NOUN
ajst-12715	261	25	results	result	NOUN
ajst-12715	261	26	of	of	ADP
ajst-12715	261	27	ner	ner	NOUN
ajst-12715	261	28	based	base	VERB
ajst-12715	261	29	on	on	ADP
ajst-12715	261	30	different	different	ADJ
ajst-12715	261	31	models	model	NOUN
ajst-12715	261	32	.	.	PUNCT
ajst-12715	262	1	models	model	VERB
ajst-12715	262	2	my	my	PRON
ajst-12715	262	3	dataset	dataset	ADJ
ajst-12715	262	4	weibo	weibo	NOUN
ajst-12715	262	5	msra	msra	PROPN
ajst-12715	262	6	p/%	p/%	PROPN
ajst-12715	262	7	r/%	r/%	PROPN
ajst-12715	262	8	f1/%	f1/%	PROPN
ajst-12715	262	9	p/%	p/%	PROPN
ajst-12715	262	10	r/%	r/%	PROPN
ajst-12715	262	11	f1/%	f1/%	PROPN
ajst-12715	262	12	p/%	p/%	PROPN
ajst-12715	262	13	r/%	r/%	PROPN
ajst-12715	262	14	f1/%	f1/%	PROPN
ajst-12715	262	15	bilstm	bilstm	NOUN
ajst-12715	262	16	-	-	PUNCT
ajst-12715	262	17	crf	crf	NOUN
ajst-12715	262	18	86.54	86.54	NUM
ajst-12715	262	19	81.83	81.83	NUM
ajst-12715	262	20	84.12	84.12	NUM
ajst-12715	262	21	60.80	60.80	NUM
ajst-12715	262	22	52.90	52.90	NUM
ajst-12715	262	23	56.60	56.60	NUM
ajst-12715	262	24	88.80	88.80	NUM
ajst-12715	262	25	87.16	87.16	NUM
ajst-12715	262	26	87.97	87.97	NUM
ajst-12715	262	27	idcnn	idcnn	PROPN
ajst-12715	262	28	-	-	PUNCT
ajst-12715	262	29	crf	crf	NOUN
ajst-12715	262	30	85.98	85.98	NUM
ajst-12715	262	31	82.87	82.87	NUM
ajst-12715	262	32	84.39	84.39	NUM
ajst-12715	262	33	61.04	61.04	NUM
ajst-12715	262	34	51.21	51.21	NUM
ajst-12715	262	35	55.69	55.69	NUM
ajst-12715	262	36	89.93	89.93	NUM
ajst-12715	262	37	84.74	84.74	NUM
ajst-12715	262	38	87.26	87.26	NUM
ajst-12715	262	39	bert	bert	PROPN
ajst-12715	262	40	-	-	PUNCT
ajst-12715	262	41	crf	crf	NOUN
ajst-12715	262	42	86.90	86.90	NUM
ajst-12715	262	43	85.65	85.65	NUM
ajst-12715	262	44	86.27	86.27	NUM
ajst-12715	262	45	72.30	72.30	NUM
ajst-12715	262	46	64.02	64.02	NUM
ajst-12715	262	47	67.91	67.91	NUM
ajst-12715	262	48	93.65	93.65	NUM
ajst-12715	262	49	92.78	92.78	NUM
ajst-12715	262	50	93.21	93.21	NUM
ajst-12715	262	51	globalpointer	globalpointer	NOUN
ajst-12715	262	52	—	—	PUNCT
ajst-12715	262	53	—	—	PUNCT
ajst-12715	262	54	86.29	86.29	NUM
ajst-12715	262	55	—	—	PUNCT
ajst-12715	262	56	—	—	PUNCT
ajst-12715	262	57	64.16	64.16	NUM
ajst-12715	262	58	—	—	PUNCT
ajst-12715	262	59	—	—	PUNCT
ajst-12715	262	60	96.09	96.09	NUM
ajst-12715	262	61	uie	uie	NOUN
ajst-12715	262	62	89.74	89.74	NUM
ajst-12715	262	63	86.06	86.06	NUM
ajst-12715	262	64	87.86	87.86	NUM
ajst-12715	262	65	74.05	74.05	NUM
ajst-12715	262	66	70.08	70.08	NUM
ajst-12715	262	67	72.01	72.01	NUM
ajst-12715	262	68	95.55	95.55	NUM
ajst-12715	262	69	92.71	92.71	NUM
ajst-12715	262	70	94.11	94.11	NUM
ajst-12715	262	71	mff	mff	NOUN
ajst-12715	262	72	-	-	PUNCT
ajst-12715	262	73	cner	cner	NOUN
ajst-12715	262	74	88.92	88.92	NUM
ajst-12715	262	75	89.72	89.72	NUM
ajst-12715	262	76	89.31	89.31	NUM
ajst-12715	262	77	66.12	66.12	NUM
ajst-12715	262	78	62.15	62.15	NUM
ajst-12715	262	79	64.20	64.20	NUM
ajst-12715	262	80	94.79	94.79	NUM
ajst-12715	262	81	93.93	93.93	NUM
ajst-12715	262	82	94.35	94.35	NUM
ajst-12715	262	83	46	46	NUM
ajst-12715	262	84	4.5.1	4.5.1	NUM
ajst-12715	262	85	.	.	PUNCT
ajst-12715	263	1	comparison	comparison	NOUN
ajst-12715	263	2	of	of	ADP
ajst-12715	263	3	different	different	ADJ
ajst-12715	263	4	models	model	NOUN
ajst-12715	263	5	figure	figure	VERB
ajst-12715	263	6	8	8	NUM
ajst-12715	263	7	.	.	PUNCT
ajst-12715	264	1	experiment	experiment	NOUN
ajst-12715	264	2	results	result	NOUN
ajst-12715	264	3	of	of	ADP
ajst-12715	264	4	different	different	ADJ
ajst-12715	264	5	models	model	NOUN
ajst-12715	264	6	on	on	ADP
ajst-12715	264	7	my	my	PRON
ajst-12715	264	8	dataset	dataset	NOUN
ajst-12715	264	9	.	.	PUNCT
ajst-12715	265	1	from	from	ADP
ajst-12715	265	2	figure	figure	NOUN
ajst-12715	265	3	8	8	NUM
ajst-12715	265	4	,	,	PUNCT
ajst-12715	265	5	it	it	PRON
ajst-12715	265	6	can	can	AUX
ajst-12715	265	7	be	be	AUX
ajst-12715	265	8	observed	observe	VERB
ajst-12715	265	9	that	that	SCONJ
ajst-12715	265	10	idcnn	idcnn	VERB
ajst-12715	265	11	,	,	PUNCT
ajst-12715	265	12	and	and	CCONJ
ajst-12715	265	13	bilstm	bilstm	NOUN
ajst-12715	265	14	exhibit	exhibit	VERB
ajst-12715	265	15	similar	similar	ADJ
ajst-12715	265	16	performance	performance	NOUN
ajst-12715	265	17	in	in	ADP
ajst-12715	265	18	entity	entity	NOUN
ajst-12715	265	19	recognition	recognition	NOUN
ajst-12715	265	20	.	.	PUNCT
ajst-12715	266	1	idcnn	idcnn	PROPN
ajst-12715	266	2	shows	show	VERB
ajst-12715	266	3	a	a	DET
ajst-12715	266	4	higher	high	ADJ
ajst-12715	266	5	recall	recall	NOUN
ajst-12715	266	6	rate	rate	NOUN
ajst-12715	266	7	at	at	ADP
ajst-12715	266	8	82.87	82.87	NUM
ajst-12715	266	9	%	%	NOUN
ajst-12715	266	10	,	,	PUNCT
ajst-12715	266	11	while	while	SCONJ
ajst-12715	266	12	bilstm	bilstm	NOUN
ajst-12715	266	13	achieves	achieve	VERB
ajst-12715	266	14	a	a	DET
ajst-12715	266	15	higher	high	ADJ
ajst-12715	266	16	precision	precision	NOUN
ajst-12715	266	17	rate	rate	NOUN
ajst-12715	266	18	at	at	ADP
ajst-12715	266	19	86.54	86.54	NUM
ajst-12715	266	20	%	%	NOUN
ajst-12715	266	21	.	.	PUNCT
ajst-12715	267	1	the	the	DET
ajst-12715	267	2	bert	bert	PROPN
ajst-12715	267	3	-	-	PUNCT
ajst-12715	267	4	crf	crf	PROPN
ajst-12715	267	5	model	model	NOUN
ajst-12715	267	6	outperforms	outperform	VERB
ajst-12715	267	7	bilstm	bilstm	NOUN
ajst-12715	267	8	-	-	PUNCT
ajst-12715	267	9	crf	crf	NOUN
ajst-12715	267	10	,	,	PUNCT
ajst-12715	267	11	and	and	CCONJ
ajst-12715	267	12	idcnn	idcnn	PROPN
ajst-12715	267	13	-	-	PUNCT
ajst-12715	267	14	crf	crf	NOUN
ajst-12715	267	15	in	in	ADP
ajst-12715	267	16	precision	precision	NOUN
ajst-12715	267	17	,	,	PUNCT
ajst-12715	267	18	recall	recall	NOUN
ajst-12715	267	19	,	,	PUNCT
ajst-12715	267	20	and	and	CCONJ
ajst-12715	267	21	f1	f1	PROPN
ajst-12715	267	22	score	score	NOUN
ajst-12715	267	23	,	,	PUNCT
ajst-12715	267	24	with	with	ADP
ajst-12715	267	25	a	a	DET
ajst-12715	267	26	notable	notable	ADJ
ajst-12715	267	27	increase	increase	NOUN
ajst-12715	267	28	of	of	ADP
ajst-12715	267	29	2.78	2.78	NUM
ajst-12715	267	30	%	%	NOUN
ajst-12715	267	31	in	in	ADP
ajst-12715	267	32	recall	recall	NOUN
ajst-12715	267	33	compared	compare	VERB
ajst-12715	267	34	to	to	ADP
ajst-12715	267	35	idcnn	idcnn	PROPN
ajst-12715	267	36	.	.	PUNCT
ajst-12715	268	1	the	the	DET
ajst-12715	268	2	reason	reason	NOUN
ajst-12715	268	3	behind	behind	ADP
ajst-12715	268	4	this	this	DET
ajst-12715	268	5	improvement	improvement	NOUN
ajst-12715	268	6	lies	lie	VERB
ajst-12715	268	7	in	in	ADP
ajst-12715	268	8	the	the	DET
ajst-12715	268	9	fact	fact	NOUN
ajst-12715	268	10	that	that	SCONJ
ajst-12715	268	11	financial	financial	ADJ
ajst-12715	268	12	securities	security	NOUN
ajst-12715	268	13	text	text	NOUN
ajst-12715	268	14	contains	contain	VERB
ajst-12715	268	15	dispersed	disperse	VERB
ajst-12715	268	16	entity	entity	NOUN
ajst-12715	268	17	information	information	NOUN
ajst-12715	268	18	,	,	PUNCT
ajst-12715	268	19	long	long	ADJ
ajst-12715	268	20	sentences	sentence	NOUN
ajst-12715	268	21	,	,	PUNCT
ajst-12715	268	22	and	and	CCONJ
ajst-12715	268	23	complex	complex	ADJ
ajst-12715	268	24	syntax	syntax	NOUN
ajst-12715	268	25	.	.	PUNCT
ajst-12715	269	1	compared	compare	VERB
ajst-12715	269	2	to	to	ADP
ajst-12715	269	3	bilstm	bilstm	NOUN
ajst-12715	269	4	,	,	PUNCT
ajst-12715	269	5	and	and	CCONJ
ajst-12715	269	6	idcnn	idcnn	ADJ
ajst-12715	269	7	,	,	PUNCT
ajst-12715	269	8	bert	bert	PROPN
ajst-12715	269	9	can	can	AUX
ajst-12715	269	10	learn	learn	VERB
ajst-12715	269	11	more	more	ADV
ajst-12715	269	12	intricate	intricate	ADJ
ajst-12715	269	13	semantic	semantic	ADJ
ajst-12715	269	14	features	feature	NOUN
ajst-12715	269	15	.	.	PUNCT
ajst-12715	270	1	globalpointer	globalpointer	NOUN
ajst-12715	270	2	performs	perform	VERB
ajst-12715	270	3	global	global	ADJ
ajst-12715	270	4	normalization	normalization	NOUN
ajst-12715	270	5	on	on	ADP
ajst-12715	270	6	financial	financial	ADJ
ajst-12715	270	7	securities	security	NOUN
ajst-12715	270	8	text	text	NOUN
ajst-12715	270	9	to	to	PART
ajst-12715	270	10	address	address	VERB
ajst-12715	270	11	nested	nested	ADJ
ajst-12715	270	12	entity	entity	NOUN
ajst-12715	270	13	problems	problem	NOUN
ajst-12715	270	14	.	.	PUNCT
ajst-12715	271	1	its	its	PRON
ajst-12715	271	2	overall	overall	ADJ
ajst-12715	271	3	performance	performance	NOUN
ajst-12715	271	4	is	be	AUX
ajst-12715	271	5	similar	similar	ADJ
ajst-12715	271	6	to	to	ADP
ajst-12715	271	7	that	that	PRON
ajst-12715	271	8	of	of	ADP
ajst-12715	271	9	the	the	DET
ajst-12715	271	10	bert	bert	PROPN
ajst-12715	271	11	-	-	PUNCT
ajst-12715	271	12	crf	crf	PROPN
ajst-12715	271	13	model	model	NOUN
ajst-12715	271	14	,	,	PUNCT
ajst-12715	271	15	with	with	ADP
ajst-12715	271	16	a	a	DET
ajst-12715	271	17	slight	slight	ADJ
ajst-12715	271	18	improvement	improvement	NOUN
ajst-12715	271	19	of	of	ADP
ajst-12715	271	20	0.76	0.76	NUM
ajst-12715	271	21	%	%	NOUN
ajst-12715	271	22	in	in	ADP
ajst-12715	271	23	precision	precision	NOUN
ajst-12715	271	24	but	but	CCONJ
ajst-12715	271	25	a	a	DET
ajst-12715	271	26	decrease	decrease	NOUN
ajst-12715	271	27	of	of	ADP
ajst-12715	271	28	0.69	0.69	NUM
ajst-12715	271	29	%	%	NOUN
ajst-12715	271	30	in	in	ADP
ajst-12715	271	31	recall	recall	NOUN
ajst-12715	271	32	.	.	PUNCT
ajst-12715	272	1	this	this	PRON
ajst-12715	272	2	indicates	indicate	VERB
ajst-12715	272	3	that	that	SCONJ
ajst-12715	272	4	financial	financial	ADJ
ajst-12715	272	5	semantic	semantic	ADJ
ajst-12715	272	6	information	information	NOUN
ajst-12715	272	7	is	be	AUX
ajst-12715	272	8	equally	equally	ADV
ajst-12715	272	9	important	important	ADJ
ajst-12715	272	10	in	in	ADP
ajst-12715	272	11	this	this	DET
ajst-12715	272	12	domain	domain	NOUN
ajst-12715	272	13	as	as	ADP
ajst-12715	272	14	nested	nest	VERB
ajst-12715	272	15	entity	entity	NOUN
ajst-12715	272	16	problems	problem	NOUN
ajst-12715	272	17	.	.	PUNCT
ajst-12715	273	1	uie	uie	NOUN
ajst-12715	273	2	,	,	PUNCT
ajst-12715	273	3	fine	fine	ADV
ajst-12715	273	4	-	-	PUNCT
ajst-12715	273	5	tuned	tune	VERB
ajst-12715	273	6	,	,	PUNCT
ajst-12715	273	7	and	and	CCONJ
ajst-12715	273	8	trained	train	VERB
ajst-12715	273	9	on	on	ADP
ajst-12715	273	10	training	training	NOUN
ajst-12715	273	11	data	datum	NOUN
ajst-12715	273	12	,	,	PUNCT
ajst-12715	273	13	surpasses	surpass	VERB
ajst-12715	273	14	the	the	DET
ajst-12715	273	15	performance	performance	NOUN
ajst-12715	273	16	of	of	ADP
ajst-12715	273	17	the	the	DET
ajst-12715	273	18	previous	previous	ADJ
ajst-12715	273	19	four	four	NUM
ajst-12715	273	20	models	model	NOUN
ajst-12715	273	21	,	,	PUNCT
ajst-12715	273	22	achieving	achieve	VERB
ajst-12715	273	23	precision	precision	NOUN
ajst-12715	273	24	,	,	PUNCT
ajst-12715	273	25	recall	recall	NOUN
ajst-12715	273	26	,	,	PUNCT
ajst-12715	273	27	and	and	CCONJ
ajst-12715	273	28	f1	f1	NOUN
ajst-12715	273	29	scores	score	NOUN
ajst-12715	273	30	of	of	ADP
ajst-12715	273	31	89.74	89.74	NUM
ajst-12715	273	32	%	%	NOUN
ajst-12715	273	33	,	,	PUNCT
ajst-12715	273	34	86.06	86.06	NUM
ajst-12715	273	35	%	%	NOUN
ajst-12715	273	36	,	,	PUNCT
ajst-12715	273	37	,	,	PUNCT
ajst-12715	273	38	and	and	CCONJ
ajst-12715	273	39	87.86	87.86	NUM
ajst-12715	273	40	%	%	NOUN
ajst-12715	273	41	,	,	PUNCT
ajst-12715	273	42	respectively	respectively	ADV
ajst-12715	273	43	.	.	PUNCT
ajst-12715	274	1	although	although	SCONJ
ajst-12715	274	2	this	this	DET
ajst-12715	274	3	model	model	NOUN
ajst-12715	274	4	achieves	achieve	VERB
ajst-12715	274	5	state	state	NOUN
ajst-12715	274	6	-	-	PUNCT
ajst-12715	274	7	of	of	ADP
ajst-12715	274	8	-	-	PUNCT
ajst-12715	274	9	the	the	DET
ajst-12715	274	10	-	-	PUNCT
ajst-12715	274	11	art	art	NOUN
ajst-12715	274	12	results	result	NOUN
ajst-12715	274	13	on	on	ADP
ajst-12715	274	14	multiple	multiple	ADJ
ajst-12715	274	15	datasets	dataset	NOUN
ajst-12715	274	16	,	,	PUNCT
ajst-12715	274	17	a	a	DET
ajst-12715	274	18	certain	certain	ADJ
ajst-12715	274	19	gap	gap	NOUN
ajst-12715	274	20	exists	exist	VERB
ajst-12715	274	21	compared	compare	VERB
ajst-12715	274	22	to	to	ADP
ajst-12715	274	23	mff	mff	NOUN
ajst-12715	274	24	-	-	PUNCT
ajst-12715	274	25	cner	cner	NOUN
ajst-12715	274	26	.	.	PUNCT
ajst-12715	275	1	mff	mff	NOUN
ajst-12715	275	2	-	-	PUNCT
ajst-12715	275	3	cner	cner	NOUN
ajst-12715	275	4	achieves	achieve	VERB
ajst-12715	275	5	the	the	DET
ajst-12715	275	6	best	good	ADJ
ajst-12715	275	7	performance	performance	NOUN
ajst-12715	275	8	,	,	PUNCT
ajst-12715	275	9	where	where	SCONJ
ajst-12715	275	10	precision	precision	NOUN
ajst-12715	275	11	,	,	PUNCT
ajst-12715	275	12	recall	recall	NOUN
ajst-12715	275	13	,	,	PUNCT
ajst-12715	275	14	and	and	CCONJ
ajst-12715	275	15	f1	f1	NOUN
ajst-12715	275	16	scores	score	NOUN
ajst-12715	275	17	reach	reach	VERB
ajst-12715	275	18	88.92	88.92	NUM
ajst-12715	275	19	%	%	NOUN
ajst-12715	275	20	,	,	PUNCT
ajst-12715	275	21	89.72	89.72	NUM
ajst-12715	275	22	%	%	NOUN
ajst-12715	275	23	,	,	PUNCT
ajst-12715	275	24	,	,	PUNCT
ajst-12715	275	25	and	and	CCONJ
ajst-12715	275	26	89.31	89.31	NUM
ajst-12715	275	27	%	%	NOUN
ajst-12715	275	28	,	,	PUNCT
ajst-12715	275	29	respectively	respectively	ADV
ajst-12715	275	30	.	.	PUNCT
ajst-12715	276	1	this	this	PRON
ajst-12715	276	2	demonstrates	demonstrate	VERB
ajst-12715	276	3	that	that	SCONJ
ajst-12715	276	4	the	the	DET
ajst-12715	276	5	model	model	NOUN
ajst-12715	276	6	can	can	AUX
ajst-12715	276	7	capture	capture	VERB
ajst-12715	276	8	richer	rich	ADJ
ajst-12715	276	9	features	feature	NOUN
ajst-12715	276	10	.	.	PUNCT
ajst-12715	277	1	in	in	ADP
ajst-12715	277	2	entity	entity	NOUN
ajst-12715	277	3	extraction	extraction	NOUN
ajst-12715	277	4	,	,	PUNCT
ajst-12715	277	5	the	the	DET
ajst-12715	277	6	mff	mff	NOUN
ajst-12715	277	7	-	-	PUNCT
ajst-12715	277	8	cner	cner	NOUN
ajst-12715	277	9	model	model	NOUN
ajst-12715	277	10	utilizes	utilize	VERB
ajst-12715	277	11	semantic	semantic	ADJ
ajst-12715	277	12	features	feature	NOUN
ajst-12715	277	13	of	of	ADP
ajst-12715	277	14	text	text	NOUN
ajst-12715	277	15	,	,	PUNCT
ajst-12715	277	16	and	and	CCONJ
ajst-12715	277	17	considers	consider	VERB
ajst-12715	277	18	character	character	NOUN
ajst-12715	277	19	-	-	PUNCT
ajst-12715	277	20	level	level	NOUN
ajst-12715	277	21	context	context	NOUN
ajst-12715	277	22	features	feature	NOUN
ajst-12715	277	23	,	,	PUNCT
ajst-12715	277	24	and	and	CCONJ
ajst-12715	277	25	local	local	ADJ
ajst-12715	277	26	text	text	NOUN
ajst-12715	277	27	features	feature	NOUN
ajst-12715	277	28	while	while	SCONJ
ajst-12715	277	29	incorporating	incorporate	VERB
ajst-12715	277	30	attention	attention	NOUN
ajst-12715	277	31	mechanisms	mechanism	NOUN
ajst-12715	277	32	to	to	PART
ajst-12715	277	33	enhance	enhance	VERB
ajst-12715	277	34	feature	feature	NOUN
ajst-12715	277	35	information	information	NOUN
ajst-12715	277	36	.	.	PUNCT
ajst-12715	278	1	this	this	DET
ajst-12715	278	2	model	model	NOUN
ajst-12715	278	3	aligns	align	VERB
ajst-12715	278	4	with	with	ADP
ajst-12715	278	5	the	the	DET
ajst-12715	278	6	textual	textual	ADJ
ajst-12715	278	7	,	,	PUNCT
ajst-12715	278	8	and	and	CCONJ
ajst-12715	278	9	entity	entity	NOUN
ajst-12715	278	10	features	feature	VERB
ajst-12715	278	11	prevalent	prevalent	ADJ
ajst-12715	278	12	in	in	ADP
ajst-12715	278	13	this	this	DET
ajst-12715	278	14	domain	domain	NOUN
ajst-12715	278	15	,	,	PUNCT
ajst-12715	278	16	ultimately	ultimately	ADV
ajst-12715	278	17	achieving	achieve	VERB
ajst-12715	278	18	excellent	excellent	ADJ
ajst-12715	278	19	performance	performance	NOUN
ajst-12715	278	20	in	in	ADP
ajst-12715	278	21	terms	term	NOUN
ajst-12715	278	22	of	of	ADP
ajst-12715	278	23	overall	overall	ADJ
ajst-12715	278	24	effectiveness	effectiveness	NOUN
ajst-12715	278	25	.	.	PUNCT
ajst-12715	279	1	4.5.2	4.5.2	NUM
ajst-12715	279	2	.	.	PUNCT
ajst-12715	279	3	performance	performance	NOUN
ajst-12715	279	4	of	of	ADP
ajst-12715	279	5	mff	mff	NOUN
ajst-12715	279	6	-	-	PUNCT
ajst-12715	279	7	cner	cner	NOUN
ajst-12715	279	8	table	table	NOUN
ajst-12715	279	9	5	5	NUM
ajst-12715	279	10	.	.	PUNCT
ajst-12715	279	11	experimental	experimental	ADJ
ajst-12715	279	12	results	result	NOUN
ajst-12715	279	13	of	of	ADP
ajst-12715	279	14	mff	mff	NOUN
ajst-12715	279	15	-	-	PUNCT
ajst-12715	279	16	cner	cner	NOUN
ajst-12715	279	17	entities	entity	NOUN
ajst-12715	279	18	.	.	PUNCT
ajst-12715	280	1	entity	entity	NOUN
ajst-12715	280	2	p/%	p/%	PROPN
ajst-12715	280	3	r/%	r/%	PROPN
ajst-12715	280	4	f1/%	f1/%	PROPN
ajst-12715	280	5	per	per	ADP
ajst-12715	280	6	96.13	96.13	NUM
ajst-12715	280	7	75.16	75.16	NUM
ajst-12715	280	8	84.36	84.36	NUM
ajst-12715	280	9	com	com	NOUN
ajst-12715	280	10	94.58	94.58	NUM
ajst-12715	280	11	91.21	91.21	NUM
ajst-12715	280	12	92.97	92.97	NUM
ajst-12715	280	13	org	org	NOUN
ajst-12715	280	14	77.51	77.51	NUM
ajst-12715	280	15	78.57	78.57	NUM
ajst-12715	280	16	78.03	78.03	NUM
ajst-12715	280	17	pos	pos	NOUN
ajst-12715	280	18	68.72	68.72	NUM
ajst-12715	280	19	70.87	70.87	NUM
ajst-12715	280	20	69.77	69.77	NUM
ajst-12715	280	21	risk	risk	NOUN
ajst-12715	280	22	56.21	56.21	NUM
ajst-12715	280	23	23.14	23.14	NUM
ajst-12715	280	24	32.78	32.78	NUM
ajst-12715	280	25	not	not	PART
ajst-12715	280	26	95.10	95.10	NUM
ajst-12715	280	27	91.21	91.21	NUM
ajst-12715	280	28	93.12	93.12	NUM
ajst-12715	280	29	table	table	NOUN
ajst-12715	280	30	5	5	NUM
ajst-12715	280	31	presents	present	VERB
ajst-12715	280	32	the	the	DET
ajst-12715	280	33	results	result	NOUN
ajst-12715	280	34	of	of	ADP
ajst-12715	280	35	our	our	PRON
ajst-12715	280	36	proposed	propose	VERB
ajst-12715	280	37	approach	approach	NOUN
ajst-12715	280	38	in	in	ADP
ajst-12715	280	39	recognizing	recognize	VERB
ajst-12715	280	40	various	various	ADJ
ajst-12715	280	41	entity	entity	NOUN
ajst-12715	280	42	categories	category	NOUN
ajst-12715	280	43	in	in	ADP
ajst-12715	280	44	the	the	DET
ajst-12715	280	45	dataset	dataset	NOUN
ajst-12715	280	46	.	.	PUNCT
ajst-12715	281	1	the	the	DET
ajst-12715	281	2	table	table	NOUN
ajst-12715	281	3	indicates	indicate	VERB
ajst-12715	281	4	that	that	SCONJ
ajst-12715	281	5	the	the	DET
ajst-12715	281	6	f1	f1	ADJ
ajst-12715	281	7	measure	measure	NOUN
ajst-12715	281	8	of	of	ADP
ajst-12715	281	9	the	the	DET
ajst-12715	281	10	risk	risk	NOUN
ajst-12715	281	11	entity	entity	NOUN
ajst-12715	281	12	(	(	PUNCT
ajst-12715	281	13	32.78	32.78	NUM
ajst-12715	281	14	%	%	NOUN
ajst-12715	281	15	)	)	PUNCT
ajst-12715	281	16	is	be	AUX
ajst-12715	281	17	the	the	DET
ajst-12715	281	18	least	least	ADJ
ajst-12715	281	19	,	,	PUNCT
ajst-12715	281	20	significantly	significantly	ADV
ajst-12715	281	21	inferior	inferior	ADJ
ajst-12715	281	22	to	to	ADP
ajst-12715	281	23	other	other	ADJ
ajst-12715	281	24	entities	entity	NOUN
ajst-12715	281	25	like	like	ADP
ajst-12715	281	26	company	company	NOUN
ajst-12715	281	27	announcement	announcement	NOUN
ajst-12715	281	28	(	(	PUNCT
ajst-12715	281	29	93.12	93.12	NUM
ajst-12715	281	30	%	%	NOUN
ajst-12715	281	31	)	)	PUNCT
ajst-12715	281	32	,	,	PUNCT
ajst-12715	281	33	company	company	NOUN
ajst-12715	281	34	name	name	NOUN
ajst-12715	281	35	(	(	PUNCT
ajst-12715	281	36	92.97	92.97	NUM
ajst-12715	281	37	%	%	NOUN
ajst-12715	281	38	)	)	PUNCT
ajst-12715	281	39	,	,	PUNCT
ajst-12715	281	40	and	and	CCONJ
ajst-12715	281	41	personal	personal	ADJ
ajst-12715	281	42	name	name	NOUN
ajst-12715	281	43	(	(	PUNCT
ajst-12715	281	44	84.36	84.36	NUM
ajst-12715	281	45	%	%	NOUN
ajst-12715	281	46	)	)	PUNCT
ajst-12715	281	47	.	.	PUNCT
ajst-12715	282	1	the	the	DET
ajst-12715	282	2	inferior	inferior	ADJ
ajst-12715	282	3	performance	performance	NOUN
ajst-12715	282	4	of	of	ADP
ajst-12715	282	5	risk	risk	NOUN
ajst-12715	282	6	entity	entity	NOUN
ajst-12715	282	7	is	be	AUX
ajst-12715	282	8	due	due	ADJ
ajst-12715	282	9	to	to	ADP
ajst-12715	282	10	its	its	PRON
ajst-12715	282	11	limited	limited	ADJ
ajst-12715	282	12	annotated	annotate	VERB
ajst-12715	282	13	samples	sample	NOUN
ajst-12715	282	14	,	,	PUNCT
ajst-12715	282	15	and	and	CCONJ
ajst-12715	282	16	the	the	DET
ajst-12715	282	17	inherent	inherent	ADJ
ajst-12715	282	18	intricacy	intricacy	NOUN
ajst-12715	282	19	in	in	ADP
ajst-12715	282	20	determining	determine	VERB
ajst-12715	282	21	its	its	PRON
ajst-12715	282	22	boundaries	boundary	NOUN
ajst-12715	282	23	,	,	PUNCT
ajst-12715	282	24	posing	pose	VERB
ajst-12715	282	25	challenges	challenge	NOUN
ajst-12715	282	26	for	for	ADP
ajst-12715	282	27	segmentation	segmentation	NOUN
ajst-12715	282	28	.	.	PUNCT
ajst-12715	283	1	for	for	ADP
ajst-12715	283	2	instance	instance	NOUN
ajst-12715	283	3	,	,	PUNCT
ajst-12715	283	4	the	the	DET
ajst-12715	283	5	text	text	NOUN
ajst-12715	283	6	"	"	PUNCT
ajst-12715	283	7	流动性紧张及债务	流动性紧张及债务	PROPN
ajst-12715	283	8	⻛	⻛	PROPN
ajst-12715	283	9	险	险	PROPN
ajst-12715	283	10	(	(	PUNCT
ajst-12715	283	11	liquidity	liquidity	NOUN
ajst-12715	283	12	stress	stress	NOUN
ajst-12715	283	13	,	,	PUNCT
ajst-12715	283	14	and	and	CCONJ
ajst-12715	283	15	debt	debt	NOUN
ajst-12715	283	16	risk	risk	NOUN
ajst-12715	283	17	)	)	PUNCT
ajst-12715	283	18	"	"	PUNCT
ajst-12715	283	19	includes	include	VERB
ajst-12715	283	20	two	two	NUM
ajst-12715	283	21	types	type	NOUN
ajst-12715	283	22	of	of	ADP
ajst-12715	283	23	risks	risk	NOUN
ajst-12715	283	24	,	,	PUNCT
ajst-12715	283	25	liquidity	liquidity	NOUN
ajst-12715	283	26	risk	risk	NOUN
ajst-12715	283	27	,	,	PUNCT
ajst-12715	283	28	and	and	CCONJ
ajst-12715	283	29	debt	debt	NOUN
ajst-12715	283	30	risk	risk	NOUN
ajst-12715	283	31	,	,	PUNCT
ajst-12715	283	32	,	,	PUNCT
ajst-12715	283	33	and	and	CCONJ
ajst-12715	283	34	the	the	DET
ajst-12715	283	35	former	former	ADJ
ajst-12715	283	36	is	be	AUX
ajst-12715	283	37	difficult	difficult	ADJ
ajst-12715	283	38	to	to	PART
ajst-12715	283	39	identify	identify	VERB
ajst-12715	283	40	due	due	ADJ
ajst-12715	283	41	to	to	ADP
ajst-12715	283	42	ambiguous	ambiguous	ADJ
ajst-12715	283	43	boundaries	boundary	NOUN
ajst-12715	283	44	,	,	PUNCT
ajst-12715	283	45	and	and	CCONJ
ajst-12715	283	46	significant	significant	ADJ
ajst-12715	283	47	noise	noise	NOUN
ajst-12715	283	48	during	during	ADP
ajst-12715	283	49	the	the	DET
ajst-12715	283	50	recognition	recognition	NOUN
ajst-12715	283	51	process	process	NOUN
ajst-12715	283	52	,	,	PUNCT
ajst-12715	283	53	resulting	result	VERB
ajst-12715	283	54	in	in	ADP
ajst-12715	283	55	difficulty	difficulty	NOUN
ajst-12715	283	56	in	in	ADP
ajst-12715	283	57	identification	identification	NOUN
ajst-12715	283	58	.	.	PUNCT
ajst-12715	284	1	the	the	DET
ajst-12715	284	2	f1	f1	PROPN
ajst-12715	284	3	score	score	NOUN
ajst-12715	284	4	of	of	ADP
ajst-12715	284	5	person	person	NOUN
ajst-12715	284	6	position	position	NOUN
ajst-12715	284	7	entity	entity	NOUN
ajst-12715	284	8	(	(	PUNCT
ajst-12715	284	9	69.77	69.77	NUM
ajst-12715	284	10	%	%	NOUN
ajst-12715	284	11	)	)	PUNCT
ajst-12715	284	12	is	be	AUX
ajst-12715	284	13	also	also	ADV
ajst-12715	284	14	relatively	relatively	ADV
ajst-12715	284	15	low	low	ADJ
ajst-12715	284	16	,	,	PUNCT
ajst-12715	284	17	with	with	ADP
ajst-12715	284	18	little	little	ADJ
ajst-12715	284	19	difference	difference	NOUN
ajst-12715	284	20	between	between	ADP
ajst-12715	284	21	precision	precision	NOUN
ajst-12715	284	22	,	,	PUNCT
ajst-12715	284	23	and	and	CCONJ
ajst-12715	284	24	recall	recall	NOUN
ajst-12715	284	25	,	,	PUNCT
ajst-12715	284	26	due	due	ADP
ajst-12715	284	27	to	to	ADP
ajst-12715	284	28	the	the	DET
ajst-12715	284	29	uneven	uneven	ADJ
ajst-12715	284	30	distribution	distribution	NOUN
ajst-12715	284	31	of	of	ADP
ajst-12715	284	32	this	this	DET
ajst-12715	284	33	entity	entity	NOUN
ajst-12715	284	34	in	in	ADP
ajst-12715	284	35	the	the	DET
ajst-12715	284	36	dataset	dataset	NOUN
ajst-12715	284	37	.	.	PUNCT
ajst-12715	285	1	the	the	DET
ajst-12715	285	2	entity	entity	NOUN
ajst-12715	285	3	"	"	PUNCT
ajst-12715	285	4	法定代表	法定代表	ADJ
ajst-12715	285	5	⼈	⼈	PROPN
ajst-12715	285	6	(	(	PUNCT
ajst-12715	285	7	legal	legal	ADJ
ajst-12715	285	8	representative	representative	NOUN
ajst-12715	285	9	)	)	PUNCT
ajst-12715	285	10	"	"	PUNCT
ajst-12715	285	11	appears	appear	VERB
ajst-12715	285	12	more	more	ADV
ajst-12715	285	13	frequently	frequently	ADV
ajst-12715	285	14	than	than	ADP
ajst-12715	285	15	others	other	NOUN
ajst-12715	285	16	,	,	PUNCT
ajst-12715	285	17	such	such	ADJ
ajst-12715	285	18	as	as	ADP
ajst-12715	285	19	"	"	PUNCT
ajst-12715	285	20	总经理	总经理	NOUN
ajst-12715	285	21	(	(	PUNCT
ajst-12715	285	22	general	general	ADJ
ajst-12715	285	23	manager	manager	NOUN
ajst-12715	285	24	)	)	PUNCT
ajst-12715	285	25	"	"	PUNCT
ajst-12715	285	26	,	,	PUNCT
ajst-12715	285	27	and	and	CCONJ
ajst-12715	285	28	"	"	PUNCT
ajst-12715	285	29	董事(director	董事(director	NOUN
ajst-12715	285	30	)	)	PUNCT
ajst-12715	285	31	"	"	PUNCT
ajst-12715	285	32	,	,	PUNCT
ajst-12715	285	33	posing	pose	VERB
ajst-12715	285	34	a	a	DET
ajst-12715	285	35	challenge	challenge	NOUN
ajst-12715	285	36	for	for	SCONJ
ajst-12715	285	37	the	the	DET
ajst-12715	285	38	model	model	NOUN
ajst-12715	285	39	to	to	PART
ajst-12715	285	40	capture	capture	VERB
ajst-12715	285	41	the	the	DET
ajst-12715	285	42	distinctive	distinctive	ADJ
ajst-12715	285	43	features	feature	NOUN
ajst-12715	285	44	of	of	ADP
ajst-12715	285	45	these	these	DET
ajst-12715	285	46	entities	entity	NOUN
ajst-12715	285	47	fully	fully	ADV
ajst-12715	285	48	.	.	PUNCT
ajst-12715	286	1	the	the	DET
ajst-12715	286	2	precision	precision	NOUN
ajst-12715	286	3	of	of	ADP
ajst-12715	286	4	person	person	NOUN
ajst-12715	286	5	name	name	NOUN
ajst-12715	286	6	entity	entity	NOUN
ajst-12715	286	7	reaches	reach	VERB
ajst-12715	286	8	96.13	96.13	NUM
ajst-12715	286	9	%	%	NOUN
ajst-12715	286	10	,	,	PUNCT
ajst-12715	286	11	while	while	SCONJ
ajst-12715	286	12	the	the	DET
ajst-12715	286	13	recall	recall	NOUN
ajst-12715	286	14	is	be	AUX
ajst-12715	286	15	only	only	ADV
ajst-12715	286	16	75.16	75.16	NUM
ajst-12715	286	17	%	%	NOUN
ajst-12715	286	18	,	,	PUNCT
ajst-12715	286	19	with	with	ADP
ajst-12715	286	20	a	a	DET
ajst-12715	286	21	precision	precision	NOUN
ajst-12715	286	22	much	much	ADV
ajst-12715	286	23	higher	high	ADJ
ajst-12715	286	24	than	than	ADP
ajst-12715	286	25	the	the	DET
ajst-12715	286	26	recall	recall	NOUN
ajst-12715	286	27	.	.	PUNCT
ajst-12715	287	1	this	this	PRON
ajst-12715	287	2	is	be	AUX
ajst-12715	287	3	because	because	SCONJ
ajst-12715	287	4	the	the	DET
ajst-12715	287	5	features	feature	NOUN
ajst-12715	287	6	of	of	ADP
ajst-12715	287	7	this	this	DET
ajst-12715	287	8	entity	entity	NOUN
ajst-12715	287	9	are	be	AUX
ajst-12715	287	10	relatively	relatively	ADV
ajst-12715	287	11	obvious	obvious	ADJ
ajst-12715	287	12	,	,	PUNCT
ajst-12715	287	13	and	and	CCONJ
ajst-12715	287	14	easy	easy	ADJ
ajst-12715	287	15	to	to	PART
ajst-12715	287	16	be	be	AUX
ajst-12715	287	17	captured	capture	VERB
ajst-12715	287	18	by	by	ADP
ajst-12715	287	19	the	the	DET
ajst-12715	287	20	model	model	NOUN
ajst-12715	287	21	.	.	PUNCT
ajst-12715	288	1	however	however	ADV
ajst-12715	288	2	,	,	PUNCT
ajst-12715	288	3	the	the	DET
ajst-12715	288	4	frequency	frequency	NOUN
ajst-12715	288	5	of	of	ADP
ajst-12715	288	6	the	the	DET
ajst-12715	288	7	same	same	ADJ
ajst-12715	288	8	entity	entity	NOUN
ajst-12715	288	9	appearing	appear	VERB
ajst-12715	288	10	in	in	ADP
ajst-12715	288	11	the	the	DET
ajst-12715	288	12	text	text	NOUN
ajst-12715	288	13	is	be	AUX
ajst-12715	288	14	relatively	relatively	ADV
ajst-12715	288	15	low	low	ADJ
ajst-12715	288	16	,	,	PUNCT
ajst-12715	288	17	which	which	PRON
ajst-12715	288	18	often	often	ADV
ajst-12715	288	19	fails	fail	VERB
ajst-12715	288	20	to	to	PART
ajst-12715	288	21	recognize	recognize	VERB
ajst-12715	288	22	these	these	DET
ajst-12715	288	23	entities	entity	NOUN
ajst-12715	288	24	when	when	SCONJ
ajst-12715	288	25	their	their	PRON
ajst-12715	288	26	features	feature	NOUN
ajst-12715	288	27	are	be	AUX
ajst-12715	288	28	not	not	PART
ajst-12715	288	29	evident	evident	ADJ
ajst-12715	288	30	.	.	PUNCT
ajst-12715	289	1	4.5.3	4.5.3	X
ajst-12715	289	2	.	.	PUNCT
ajst-12715	290	1	analysis	analysis	NOUN
ajst-12715	290	2	of	of	ADP
ajst-12715	290	3	domain	domain	NOUN
ajst-12715	290	4	applicability	applicability	NOUN
ajst-12715	290	5	figure	figure	NOUN
ajst-12715	290	6	9	9	NUM
ajst-12715	290	7	.	.	PUNCT
ajst-12715	290	8	experiment	experiment	NOUN
ajst-12715	290	9	results	result	NOUN
ajst-12715	290	10	of	of	ADP
ajst-12715	290	11	different	different	ADJ
ajst-12715	290	12	models	model	NOUN
ajst-12715	290	13	on	on	ADP
ajst-12715	290	14	weibo	weibo	NOUN
ajst-12715	290	15	.	.	PUNCT
ajst-12715	291	1	figure	figure	NOUN
ajst-12715	291	2	10	10	NUM
ajst-12715	291	3	.	.	PUNCT
ajst-12715	292	1	experiment	experiment	NOUN
ajst-12715	292	2	results	result	NOUN
ajst-12715	292	3	of	of	ADP
ajst-12715	292	4	different	different	ADJ
ajst-12715	292	5	models	model	NOUN
ajst-12715	292	6	on	on	ADP
ajst-12715	292	7	msra	msra	PROPN
ajst-12715	292	8	.	.	PUNCT
ajst-12715	293	1	60	60	NUM
ajst-12715	293	2	65	65	NUM
ajst-12715	293	3	70	70	NUM
ajst-12715	293	4	75	75	NUM
ajst-12715	293	5	80	80	NUM
ajst-12715	293	6	85	85	NUM
ajst-12715	293	7	90	90	NUM
ajst-12715	293	8	95	95	NUM
ajst-12715	293	9	p/%	p/%	PROPN
ajst-12715	293	10	r/%	r/%	PROPN
ajst-12715	293	11	f1/%	f1/%	VERB
ajst-12715	293	12	50	50	NUM
ajst-12715	293	13	55	55	NUM
ajst-12715	293	14	60	60	NUM
ajst-12715	293	15	65	65	NUM
ajst-12715	293	16	70	70	NUM
ajst-12715	293	17	75	75	NUM
ajst-12715	293	18	80	80	NUM
ajst-12715	293	19	p/%	p/%	PROPN
ajst-12715	293	20	r/%	r/%	PROPN
ajst-12715	293	21	f1/%	f1/%	VERB
ajst-12715	293	22	70	70	NUM
ajst-12715	293	23	75	75	NUM
ajst-12715	293	24	80	80	NUM
ajst-12715	293	25	85	85	NUM
ajst-12715	293	26	90	90	NUM
ajst-12715	293	27	95	95	NUM
ajst-12715	293	28	100	100	NUM
ajst-12715	293	29	p/%	p/%	PROPN
ajst-12715	293	30	r/%	r/%	PROPN
ajst-12715	293	31	f1/%	f1/%	PROPN
ajst-12715	293	32	47	47	NUM
ajst-12715	293	33	to	to	PART
ajst-12715	293	34	investigate	investigate	VERB
ajst-12715	293	35	the	the	DET
ajst-12715	293	36	applicability	applicability	NOUN
ajst-12715	293	37	of	of	ADP
ajst-12715	293	38	the	the	DET
ajst-12715	293	39	mff	mff	NOUN
ajst-12715	293	40	-	-	PUNCT
ajst-12715	293	41	cner	cner	NOUN
ajst-12715	293	42	model	model	NOUN
ajst-12715	293	43	in	in	ADP
ajst-12715	293	44	the	the	DET
ajst-12715	293	45	chinese	chinese	ADJ
ajst-12715	293	46	financial	financial	ADJ
ajst-12715	293	47	securities	security	NOUN
ajst-12715	293	48	domain	domain	NOUN
ajst-12715	293	49	,	,	PUNCT
ajst-12715	293	50	we	we	PRON
ajst-12715	293	51	compared	compare	VERB
ajst-12715	293	52	these	these	DET
ajst-12715	293	53	six	six	NUM
ajst-12715	293	54	models	model	NOUN
ajst-12715	293	55	on	on	ADP
ajst-12715	293	56	two	two	NUM
ajst-12715	293	57	different	different	ADJ
ajst-12715	293	58	domains	domain	NOUN
ajst-12715	293	59	:	:	PUNCT
ajst-12715	293	60	weibo	weibo	NOUN
ajst-12715	293	61	,	,	PUNCT
ajst-12715	293	62	which	which	PRON
ajst-12715	293	63	represents	represent	VERB
ajst-12715	293	64	the	the	DET
ajst-12715	293	65	social	social	ADJ
ajst-12715	293	66	media	medium	NOUN
ajst-12715	293	67	domain	domain	NOUN
ajst-12715	293	68	,	,	PUNCT
ajst-12715	293	69	and	and	CCONJ
ajst-12715	293	70	msra	msra	PROPN
ajst-12715	293	71	,	,	PUNCT
ajst-12715	293	72	which	which	PRON
ajst-12715	293	73	represents	represent	VERB
ajst-12715	293	74	the	the	DET
ajst-12715	293	75	news	news	NOUN
ajst-12715	293	76	domain	domain	NOUN
ajst-12715	293	77	.	.	PUNCT
ajst-12715	294	1	on	on	ADP
ajst-12715	294	2	the	the	DET
ajst-12715	294	3	weibo	weibo	PROPN
ajst-12715	294	4	dataset	dataset	NOUN
ajst-12715	294	5	,	,	PUNCT
ajst-12715	294	6	the	the	DET
ajst-12715	294	7	uie	uie	PROPN
ajst-12715	294	8	model	model	NOUN
ajst-12715	294	9	achieved	achieve	VERB
ajst-12715	294	10	the	the	DET
ajst-12715	294	11	best	good	ADJ
ajst-12715	294	12	performance	performance	NOUN
ajst-12715	294	13	with	with	ADP
ajst-12715	294	14	an	an	DET
ajst-12715	294	15	f1	f1	ADJ
ajst-12715	294	16	score	score	NOUN
ajst-12715	294	17	of	of	ADP
ajst-12715	294	18	72.01	72.01	NUM
ajst-12715	294	19	%	%	NOUN
ajst-12715	294	20	.	.	PUNCT
ajst-12715	295	1	the	the	DET
ajst-12715	295	2	globalpointer	globalpointer	NOUN
ajst-12715	295	3	model	model	NOUN
ajst-12715	295	4	ranked	rank	VERB
ajst-12715	295	5	second	second	ADV
ajst-12715	295	6	with	with	ADP
ajst-12715	295	7	an	an	DET
ajst-12715	295	8	f1	f1	ADJ
ajst-12715	295	9	score	score	NOUN
ajst-12715	295	10	of	of	ADP
ajst-12715	295	11	64.16	64.16	NUM
ajst-12715	295	12	%	%	NOUN
ajst-12715	295	13	,	,	PUNCT
ajst-12715	295	14	while	while	SCONJ
ajst-12715	295	15	the	the	DET
ajst-12715	295	16	f1	f1	ADJ
ajst-12715	295	17	score	score	NOUN
ajst-12715	295	18	of	of	ADP
ajst-12715	295	19	the	the	DET
ajst-12715	295	20	mff	mff	NOUN
ajst-12715	295	21	-	-	PUNCT
ajst-12715	295	22	cner	cner	NOUN
ajst-12715	295	23	model	model	NOUN
ajst-12715	295	24	reached	reach	VERB
ajst-12715	295	25	only	only	ADV
ajst-12715	295	26	64.20	64.20	NUM
ajst-12715	295	27	%	%	NOUN
ajst-12715	295	28	.	.	PUNCT
ajst-12715	296	1	furthermore	furthermore	ADV
ajst-12715	296	2	,	,	PUNCT
ajst-12715	296	3	both	both	CCONJ
ajst-12715	296	4	the	the	DET
ajst-12715	296	5	precision	precision	NOUN
ajst-12715	296	6	,	,	PUNCT
ajst-12715	296	7	and	and	CCONJ
ajst-12715	296	8	recall	recall	NOUN
ajst-12715	296	9	of	of	ADP
ajst-12715	296	10	the	the	DET
ajst-12715	296	11	mff	mff	NOUN
ajst-12715	296	12	-	-	PUNCT
ajst-12715	296	13	cner	cner	NOUN
ajst-12715	296	14	model	model	NOUN
ajst-12715	296	15	were	be	AUX
ajst-12715	296	16	lower	low	ADJ
ajst-12715	296	17	than	than	ADP
ajst-12715	296	18	those	those	PRON
ajst-12715	296	19	of	of	ADP
ajst-12715	296	20	uie	uie	PROPN
ajst-12715	296	21	.	.	PUNCT
ajst-12715	297	1	on	on	ADP
ajst-12715	297	2	the	the	DET
ajst-12715	297	3	msra	msra	PROPN
ajst-12715	297	4	dataset	dataset	NOUN
ajst-12715	297	5	,	,	PUNCT
ajst-12715	297	6	the	the	DET
ajst-12715	297	7	globalpointer	globalpointer	NOUN
ajst-12715	297	8	model	model	NOUN
ajst-12715	297	9	exhibited	exhibit	VERB
ajst-12715	297	10	the	the	DET
ajst-12715	297	11	best	good	ADJ
ajst-12715	297	12	performance	performance	NOUN
ajst-12715	297	13	with	with	ADP
ajst-12715	297	14	an	an	DET
ajst-12715	297	15	f1	f1	ADJ
ajst-12715	297	16	score	score	NOUN
ajst-12715	297	17	of	of	ADP
ajst-12715	297	18	96.09	96.09	NUM
ajst-12715	297	19	%	%	NOUN
ajst-12715	297	20	,	,	PUNCT
ajst-12715	297	21	while	while	SCONJ
ajst-12715	297	22	the	the	DET
ajst-12715	297	23	f1	f1	ADJ
ajst-12715	297	24	score	score	NOUN
ajst-12715	297	25	of	of	ADP
ajst-12715	297	26	the	the	DET
ajst-12715	297	27	mff	mff	NOUN
ajst-12715	297	28	-	-	PUNCT
ajst-12715	297	29	cner	cner	NOUN
ajst-12715	297	30	model	model	NOUN
ajst-12715	297	31	was	be	AUX
ajst-12715	297	32	94.35	94.35	NUM
ajst-12715	297	33	%	%	NOUN
ajst-12715	297	34	,	,	PUNCT
ajst-12715	297	35	a	a	DET
ajst-12715	297	36	mere	mere	ADJ
ajst-12715	297	37	0.24	0.24	NUM
ajst-12715	297	38	%	%	NOUN
ajst-12715	297	39	higher	high	ADJ
ajst-12715	297	40	than	than	ADP
ajst-12715	297	41	uie	uie	PROPN
ajst-12715	297	42	.	.	PUNCT
ajst-12715	298	1	these	these	DET
ajst-12715	298	2	experimental	experimental	ADJ
ajst-12715	298	3	results	result	NOUN
ajst-12715	298	4	indicate	indicate	VERB
ajst-12715	298	5	that	that	SCONJ
ajst-12715	298	6	the	the	DET
ajst-12715	298	7	mff	mff	NOUN
ajst-12715	298	8	-	-	PUNCT
ajst-12715	298	9	cner	cner	NOUN
ajst-12715	298	10	model	model	NOUN
ajst-12715	298	11	may	may	AUX
ajst-12715	298	12	not	not	PART
ajst-12715	298	13	be	be	AUX
ajst-12715	298	14	suitable	suitable	ADJ
ajst-12715	298	15	for	for	ADP
ajst-12715	298	16	other	other	ADJ
ajst-12715	298	17	domains	domain	NOUN
ajst-12715	298	18	,	,	PUNCT
ajst-12715	298	19	and	and	CCONJ
ajst-12715	298	20	validate	validate	VERB
ajst-12715	298	21	its	its	PRON
ajst-12715	298	22	applicability	applicability	NOUN
ajst-12715	298	23	in	in	ADP
ajst-12715	298	24	the	the	DET
ajst-12715	298	25	chinese	chinese	ADJ
ajst-12715	298	26	financial	financial	ADJ
ajst-12715	298	27	securities	security	NOUN
ajst-12715	298	28	domain	domain	NOUN
ajst-12715	298	29	.	.	PUNCT
ajst-12715	299	1	4.5.4	4.5.4	X
ajst-12715	299	2	.	.	PROPN
ajst-12715	299	3	ablation	ablation	NOUN
ajst-12715	299	4	study	study	NOUN
ajst-12715	299	5	table	table	NOUN
ajst-12715	299	6	6	6	NUM
ajst-12715	299	7	.	.	PUNCT
ajst-12715	299	8	ablation	ablation	NOUN
ajst-12715	299	9	of	of	ADP
ajst-12715	299	10	mff	mff	NOUN
ajst-12715	299	11	-	-	PUNCT
ajst-12715	299	12	cner	cner	NOUN
ajst-12715	299	13	.	.	PUNCT
ajst-12715	300	1	baseline1	baseline1	PROPN
ajst-12715	300	2	is	be	AUX
ajst-12715	300	3	bilstm	bilstm	NOUN
ajst-12715	300	4	-	-	PUNCT
ajst-12715	300	5	crf	crf	PROPN
ajst-12715	300	6	.	.	PROPN
ajst-12715	300	7	baseline	baseline	PROPN
ajst-12715	300	8	bert	bert	PROPN
ajst-12715	300	9	idcnn	idcnn	PROPN
ajst-12715	300	10	attention	attention	NOUN
ajst-12715	300	11	p/%	p/%	PROPN
ajst-12715	300	12	r/%	r/%	PROPN
ajst-12715	300	13	f1/%	f1/%	PROPN
ajst-12715	300	14	model	model	NOUN
ajst-12715	300	15	1	1	NUM
ajst-12715	300	16	√	√	PROPN
ajst-12715	300	17	86.54	86.54	NUM
ajst-12715	300	18	81.83	81.83	NUM
ajst-12715	300	19	84.12	84.12	NUM
ajst-12715	300	20	model	model	NOUN
ajst-12715	300	21	2	2	NUM
ajst-12715	300	22	√	√	NUM
ajst-12715	300	23	√	√	ADP
ajst-12715	300	24	85.70	85.70	NUM
ajst-12715	300	25	86.97	86.97	NUM
ajst-12715	300	26	86.33	86.33	NUM
ajst-12715	300	27	model	model	NOUN
ajst-12715	300	28	3	3	NUM
ajst-12715	300	29	√	√	PROPN
ajst-12715	300	30	√	√	NUM
ajst-12715	300	31	√	√	ADP
ajst-12715	300	32	87.80	87.80	NUM
ajst-12715	300	33	86.04	86.04	NUM
ajst-12715	300	34	86.91	86.91	NUM
ajst-12715	300	35	model	model	NOUN
ajst-12715	300	36	4	4	NUM
ajst-12715	300	37	√	√	NOUN
ajst-12715	300	38	√	√	NUM
ajst-12715	300	39	√	√	PROPN
ajst-12715	300	40	√	√	PROPN
ajst-12715	300	41	88.92	88.92	NUM
ajst-12715	300	42	89.72	89.72	NUM
ajst-12715	300	43	89.31	89.31	NUM
ajst-12715	300	44	figure	figure	NOUN
ajst-12715	300	45	11	11	NUM
ajst-12715	300	46	.	.	PUNCT
ajst-12715	301	1	changes	change	NOUN
ajst-12715	301	2	in	in	ADP
ajst-12715	301	3	indicators	indicator	NOUN
ajst-12715	301	4	of	of	ADP
ajst-12715	301	5	ablation	ablation	NOUN
ajst-12715	301	6	experiments	experiment	NOUN
ajst-12715	301	7	.	.	PUNCT
ajst-12715	302	1	in	in	ADP
ajst-12715	302	2	order	order	NOUN
ajst-12715	302	3	to	to	PART
ajst-12715	302	4	investigate	investigate	VERB
ajst-12715	302	5	the	the	DET
ajst-12715	302	6	contributions	contribution	NOUN
ajst-12715	302	7	of	of	ADP
ajst-12715	302	8	different	different	ADJ
ajst-12715	302	9	components	component	NOUN
ajst-12715	302	10	in	in	ADP
ajst-12715	302	11	the	the	DET
ajst-12715	302	12	mff	mff	NOUN
ajst-12715	302	13	-	-	PUNCT
ajst-12715	302	14	cner	cner	NOUN
ajst-12715	302	15	model	model	NOUN
ajst-12715	302	16	,	,	PUNCT
ajst-12715	302	17	we	we	PRON
ajst-12715	302	18	conducted	conduct	VERB
ajst-12715	302	19	an	an	DET
ajst-12715	302	20	ablation	ablation	NOUN
ajst-12715	302	21	study	study	NOUN
ajst-12715	302	22	on	on	ADP
ajst-12715	302	23	the	the	DET
ajst-12715	302	24	constructed	construct	VERB
ajst-12715	302	25	financial	financial	ADJ
ajst-12715	302	26	securities	security	NOUN
ajst-12715	302	27	dataset	dataset	NOUN
ajst-12715	302	28	.	.	PUNCT
ajst-12715	303	1	the	the	DET
ajst-12715	303	2	results	result	NOUN
ajst-12715	303	3	are	be	AUX
ajst-12715	303	4	presented	present	VERB
ajst-12715	303	5	in	in	ADP
ajst-12715	303	6	table	table	NOUN
ajst-12715	303	7	6	6	NUM
ajst-12715	303	8	.	.	PUNCT
ajst-12715	304	1	our	our	PRON
ajst-12715	304	2	findings	finding	NOUN
ajst-12715	304	3	are	be	AUX
ajst-12715	304	4	as	as	SCONJ
ajst-12715	304	5	follows	follow	VERB
ajst-12715	304	6	:	:	PUNCT
ajst-12715	305	1	1	1	X
ajst-12715	305	2	.	.	X
ajst-12715	305	3	each	each	DET
ajst-12715	305	4	component	component	NOUN
ajst-12715	305	5	in	in	ADP
ajst-12715	305	6	mff	mff	NOUN
ajst-12715	305	7	-	-	PUNCT
ajst-12715	305	8	cner	cner	NOUN
ajst-12715	305	9	demonstrates	demonstrate	VERB
ajst-12715	305	10	positive	positive	ADJ
ajst-12715	305	11	effects	effect	NOUN
ajst-12715	305	12	.	.	PUNCT
ajst-12715	306	1	as	as	SCONJ
ajst-12715	306	2	shown	show	VERB
ajst-12715	306	3	in	in	ADP
ajst-12715	306	4	figure	figure	NOUN
ajst-12715	306	5	11	11	NUM
ajst-12715	306	6	,	,	PUNCT
ajst-12715	306	7	the	the	DET
ajst-12715	306	8	f1	f1	PROPN
ajst-12715	306	9	score	score	NOUN
ajst-12715	306	10	consistently	consistently	ADV
ajst-12715	306	11	increases	increase	VERB
ajst-12715	306	12	with	with	ADP
ajst-12715	306	13	the	the	DET
ajst-12715	306	14	addition	addition	NOUN
ajst-12715	306	15	of	of	ADP
ajst-12715	306	16	components	component	NOUN
ajst-12715	306	17	.	.	PUNCT
ajst-12715	307	1	however	however	ADV
ajst-12715	307	2	,	,	PUNCT
ajst-12715	307	3	on	on	ADP
ajst-12715	307	4	the	the	DET
ajst-12715	307	5	weibo	weibo	PROPN
ajst-12715	307	6	dataset	dataset	NOUN
ajst-12715	307	7	,	,	PUNCT
ajst-12715	307	8	bert	bert	PROPN
ajst-12715	307	9	-	-	PUNCT
ajst-12715	307	10	crf	crf	PROPN
ajst-12715	307	11	performs	perform	VERB
ajst-12715	307	12	better	well	ADJ
ajst-12715	307	13	than	than	ADP
ajst-12715	307	14	mff	mff	NOUN
ajst-12715	307	15	-	-	PUNCT
ajst-12715	307	16	cner	cner	NOUN
ajst-12715	307	17	(	(	PUNCT
ajst-12715	307	18	table	table	NOUN
ajst-12715	307	19	5	5	NUM
ajst-12715	307	20	)	)	PUNCT
ajst-12715	307	21	.	.	PUNCT
ajst-12715	308	1	2	2	X
ajst-12715	308	2	.	.	X
ajst-12715	308	3	attention	attention	NOUN
ajst-12715	308	4	plays	play	VERB
ajst-12715	308	5	a	a	DET
ajst-12715	308	6	crucial	crucial	ADJ
ajst-12715	308	7	role	role	NOUN
ajst-12715	308	8	.	.	PUNCT
ajst-12715	309	1	figure	figure	NOUN
ajst-12715	309	2	11	11	NUM
ajst-12715	309	3	shows	show	VERB
ajst-12715	309	4	a	a	DET
ajst-12715	309	5	2.4	2.4	NUM
ajst-12715	309	6	%	%	NOUN
ajst-12715	309	7	increase	increase	NOUN
ajst-12715	309	8	in	in	ADP
ajst-12715	309	9	f1	f1	ADJ
ajst-12715	309	10	score	score	NOUN
ajst-12715	309	11	after	after	ADP
ajst-12715	309	12	incorporating	incorporate	VERB
ajst-12715	309	13	attention	attention	NOUN
ajst-12715	309	14	.	.	PUNCT
ajst-12715	310	1	this	this	PRON
ajst-12715	310	2	indicates	indicate	VERB
ajst-12715	310	3	that	that	SCONJ
ajst-12715	310	4	weighting	weight	VERB
ajst-12715	310	5	multiple	multiple	ADJ
ajst-12715	310	6	features	feature	NOUN
ajst-12715	310	7	through	through	ADP
ajst-12715	310	8	attention	attention	NOUN
ajst-12715	310	9	is	be	AUX
ajst-12715	310	10	suitable	suitable	ADJ
ajst-12715	310	11	for	for	ADP
ajst-12715	310	12	this	this	DET
ajst-12715	310	13	domain	domain	NOUN
ajst-12715	310	14	.	.	PUNCT
ajst-12715	311	1	3	3	X
ajst-12715	311	2	.	.	X
ajst-12715	311	3	bert	bert	PROPN
ajst-12715	311	4	significantly	significantly	ADV
ajst-12715	311	5	enhances	enhance	VERB
ajst-12715	311	6	the	the	DET
ajst-12715	311	7	model	model	NOUN
ajst-12715	311	8	’s	’s	PART
ajst-12715	311	9	ability	ability	NOUN
ajst-12715	311	10	to	to	PART
ajst-12715	311	11	capture	capture	VERB
ajst-12715	311	12	more	more	ADJ
ajst-12715	311	13	entities	entity	NOUN
ajst-12715	311	14	.	.	PUNCT
ajst-12715	312	1	figure	figure	NOUN
ajst-12715	312	2	11	11	NUM
ajst-12715	312	3	demonstrates	demonstrate	VERB
ajst-12715	312	4	a	a	DET
ajst-12715	312	5	significant	significant	ADJ
ajst-12715	312	6	improvement	improvement	NOUN
ajst-12715	312	7	in	in	ADP
ajst-12715	312	8	recall	recall	NOUN
ajst-12715	312	9	after	after	ADP
ajst-12715	312	10	incorporating	incorporate	VERB
ajst-12715	312	11	bert	bert	PROPN
ajst-12715	312	12	.	.	PUNCT
ajst-12715	313	1	this	this	PRON
ajst-12715	313	2	suggests	suggest	VERB
ajst-12715	313	3	that	that	SCONJ
ajst-12715	313	4	the	the	DET
ajst-12715	313	5	model	model	NOUN
ajst-12715	313	6	has	have	AUX
ajst-12715	313	7	learned	learn	VERB
ajst-12715	313	8	more	more	ADJ
ajst-12715	313	9	semantic	semantic	ADJ
ajst-12715	313	10	features	feature	NOUN
ajst-12715	313	11	from	from	ADP
ajst-12715	313	12	the	the	DET
ajst-12715	313	13	text	text	NOUN
ajst-12715	313	14	,	,	PUNCT
ajst-12715	313	15	and	and	CCONJ
ajst-12715	313	16	become	become	VERB
ajst-12715	313	17	more	more	ADV
ajst-12715	313	18	sensitive	sensitive	ADJ
ajst-12715	313	19	to	to	ADP
ajst-12715	313	20	entities	entity	NOUN
ajst-12715	313	21	.	.	PUNCT
ajst-12715	314	1	4	4	X
ajst-12715	314	2	.	.	X
ajst-12715	314	3	idcnn	idcnn	PROPN
ajst-12715	314	4	effectively	effectively	ADV
ajst-12715	314	5	improves	improve	VERB
ajst-12715	314	6	the	the	DET
ajst-12715	314	7	precision	precision	NOUN
ajst-12715	314	8	of	of	ADP
ajst-12715	314	9	the	the	DET
ajst-12715	314	10	model	model	NOUN
ajst-12715	314	11	.	.	PUNCT
ajst-12715	315	1	a	a	DET
ajst-12715	315	2	2.1	2.1	NUM
ajst-12715	315	3	%	%	NOUN
ajst-12715	315	4	increase	increase	NOUN
ajst-12715	315	5	in	in	ADP
ajst-12715	315	6	precision	precision	NOUN
ajst-12715	315	7	demonstrates	demonstrate	VERB
ajst-12715	315	8	the	the	DET
ajst-12715	315	9	beneficial	beneficial	ADJ
ajst-12715	315	10	impact	impact	NOUN
ajst-12715	315	11	of	of	ADP
ajst-12715	315	12	capturing	capture	VERB
ajst-12715	315	13	local	local	ADJ
ajst-12715	315	14	features	feature	NOUN
ajst-12715	315	15	on	on	ADP
ajst-12715	315	16	entity	entity	NOUN
ajst-12715	315	17	recognition	recognition	NOUN
ajst-12715	315	18	.	.	PUNCT
ajst-12715	316	1	5	5	X
ajst-12715	316	2	.	.	X
ajst-12715	316	3	conclusion	conclusion	NOUN
ajst-12715	316	4	in	in	ADP
ajst-12715	316	5	this	this	DET
ajst-12715	316	6	paper	paper	NOUN
ajst-12715	316	7	,	,	PUNCT
ajst-12715	316	8	we	we	PRON
ajst-12715	316	9	propose	propose	VERB
ajst-12715	316	10	a	a	DET
ajst-12715	316	11	ner	ner	NOUN
ajst-12715	316	12	method	method	NOUN
ajst-12715	316	13	suited	suit	VERB
ajst-12715	316	14	for	for	ADP
ajst-12715	316	15	the	the	DET
ajst-12715	316	16	chinese	chinese	ADJ
ajst-12715	316	17	financial	financial	ADJ
ajst-12715	316	18	securities	security	NOUN
ajst-12715	316	19	domain	domain	NOUN
ajst-12715	316	20	.	.	PUNCT
ajst-12715	317	1	due	due	ADP
ajst-12715	317	2	to	to	ADP
ajst-12715	317	3	the	the	DET
ajst-12715	317	4	longer	long	ADJ
ajst-12715	317	5	boundaries	boundary	NOUN
ajst-12715	317	6	,	,	PUNCT
ajst-12715	317	7	and	and	CCONJ
ajst-12715	317	8	greater	great	ADJ
ajst-12715	317	9	diversity	diversity	NOUN
ajst-12715	317	10	of	of	ADP
ajst-12715	317	11	expressions	expression	NOUN
ajst-12715	317	12	of	of	ADP
ajst-12715	317	13	entities	entity	NOUN
ajst-12715	317	14	in	in	ADP
ajst-12715	317	15	chinese	chinese	ADJ
ajst-12715	317	16	financial	financial	ADJ
ajst-12715	317	17	securities	security	NOUN
ajst-12715	317	18	domain	domain	NOUN
ajst-12715	317	19	texts	text	NOUN
ajst-12715	317	20	compared	compare	VERB
ajst-12715	317	21	to	to	ADP
ajst-12715	317	22	general	general	ADJ
ajst-12715	317	23	-	-	PUNCT
ajst-12715	317	24	domain	domain	NOUN
ajst-12715	317	25	texts	text	NOUN
ajst-12715	317	26	[	[	X
ajst-12715	317	27	13	13	NUM
ajst-12715	317	28	]	]	PUNCT
ajst-12715	317	29	,	,	PUNCT
ajst-12715	317	30	many	many	ADJ
ajst-12715	317	31	distinguishing	distinguish	VERB
ajst-12715	317	32	features	feature	NOUN
ajst-12715	317	33	are	be	AUX
ajst-12715	317	34	not	not	PART
ajst-12715	317	35	easily	easily	ADV
ajst-12715	317	36	captured	capture	VERB
ajst-12715	317	37	.	.	PUNCT
ajst-12715	318	1	therefore	therefore	ADV
ajst-12715	318	2	,	,	PUNCT
ajst-12715	318	3	we	we	PRON
ajst-12715	318	4	propose	propose	VERB
ajst-12715	318	5	a	a	DET
ajst-12715	318	6	multi	multi	ADJ
ajst-12715	318	7	-	-	ADJ
ajst-12715	318	8	feature	feature	ADJ
ajst-12715	318	9	fusion	fusion	NOUN
ajst-12715	318	10	method	method	NOUN
ajst-12715	318	11	,	,	PUNCT
ajst-12715	318	12	mff	mff	NOUN
ajst-12715	318	13	-	-	PUNCT
ajst-12715	318	14	cner	cner	NOUN
ajst-12715	318	15	,	,	PUNCT
ajst-12715	318	16	to	to	PART
ajst-12715	318	17	address	address	VERB
ajst-12715	318	18	this	this	DET
ajst-12715	318	19	issue	issue	NOUN
ajst-12715	318	20	.	.	PUNCT
ajst-12715	319	1	the	the	DET
ajst-12715	319	2	advantage	advantage	NOUN
ajst-12715	319	3	of	of	ADP
ajst-12715	319	4	this	this	DET
ajst-12715	319	5	model	model	NOUN
ajst-12715	319	6	lies	lie	VERB
ajst-12715	319	7	in	in	ADP
ajst-12715	319	8	its	its	PRON
ajst-12715	319	9	ability	ability	NOUN
ajst-12715	319	10	to	to	PART
ajst-12715	319	11	extract	extract	VERB
ajst-12715	319	12	features	feature	NOUN
ajst-12715	319	13	of	of	ADP
ajst-12715	319	14	different	different	ADJ
ajst-12715	319	15	granularities	granularity	NOUN
ajst-12715	319	16	from	from	ADP
ajst-12715	319	17	the	the	DET
ajst-12715	319	18	text	text	NOUN
ajst-12715	319	19	without	without	ADP
ajst-12715	319	20	encountering	encounter	VERB
ajst-12715	319	21	conflicts	conflict	NOUN
ajst-12715	319	22	.	.	PUNCT
ajst-12715	320	1	first	first	ADV
ajst-12715	320	2	,	,	PUNCT
ajst-12715	320	3	we	we	PRON
ajst-12715	320	4	conducted	conduct	VERB
ajst-12715	320	5	comparative	comparative	ADJ
ajst-12715	320	6	experiments	experiment	NOUN
ajst-12715	320	7	between	between	ADP
ajst-12715	320	8	the	the	DET
ajst-12715	320	9	mff	mff	NOUN
ajst-12715	320	10	-	-	PUNCT
ajst-12715	320	11	cner	cner	NOUN
ajst-12715	320	12	model	model	NOUN
ajst-12715	320	13	,	,	PUNCT
ajst-12715	320	14	and	and	CCONJ
ajst-12715	320	15	five	five	NUM
ajst-12715	320	16	baseline	baseline	ADJ
ajst-12715	320	17	models	model	NOUN
ajst-12715	320	18	.	.	PUNCT
ajst-12715	321	1	the	the	DET
ajst-12715	321	2	results	result	NOUN
ajst-12715	321	3	demonstrate	demonstrate	VERB
ajst-12715	321	4	that	that	SCONJ
ajst-12715	321	5	the	the	DET
ajst-12715	321	6	mff	mff	NOUN
ajst-12715	321	7	-	-	PUNCT
ajst-12715	321	8	cner	cner	NOUN
ajst-12715	321	9	model	model	NOUN
ajst-12715	321	10	achieves	achieve	VERB
ajst-12715	321	11	state	state	NOUN
ajst-12715	321	12	-	-	PUNCT
ajst-12715	321	13	ofthe	ofthe	NOUN
ajst-12715	321	14	-	-	PUNCT
ajst-12715	321	15	art	art	NOUN
ajst-12715	321	16	performance	performance	NOUN
ajst-12715	321	17	.	.	PUNCT
ajst-12715	322	1	next	next	ADV
ajst-12715	322	2	,	,	PUNCT
ajst-12715	322	3	we	we	PRON
ajst-12715	322	4	analyzed	analyze	VERB
ajst-12715	322	5	the	the	DET
ajst-12715	322	6	recognition	recognition	NOUN
ajst-12715	322	7	performance	performance	NOUN
ajst-12715	322	8	of	of	ADP
ajst-12715	322	9	the	the	DET
ajst-12715	322	10	mff	mff	NOUN
ajst-12715	322	11	-	-	PUNCT
ajst-12715	322	12	cner	cner	NOUN
ajst-12715	322	13	model	model	NOUN
ajst-12715	322	14	on	on	ADP
ajst-12715	322	15	different	different	ADJ
ajst-12715	322	16	entity	entity	NOUN
ajst-12715	322	17	types	type	NOUN
ajst-12715	322	18	in	in	ADP
ajst-12715	322	19	the	the	DET
ajst-12715	322	20	domain	domain	NOUN
ajst-12715	322	21	.	.	PUNCT
ajst-12715	323	1	it	it	PRON
ajst-12715	323	2	was	be	AUX
ajst-12715	323	3	observed	observe	VERB
ajst-12715	323	4	that	that	SCONJ
ajst-12715	323	5	there	there	PRON
ajst-12715	323	6	are	be	VERB
ajst-12715	323	7	still	still	ADV
ajst-12715	323	8	some	some	DET
ajst-12715	323	9	challenges	challenge	NOUN
ajst-12715	323	10	in	in	ADP
ajst-12715	323	11	identifying	identify	VERB
ajst-12715	323	12	certain	certain	ADJ
ajst-12715	323	13	entities	entity	NOUN
ajst-12715	323	14	,	,	PUNCT
ajst-12715	323	15	such	such	ADJ
ajst-12715	323	16	as	as	ADP
ajst-12715	323	17	risk	risk	NOUN
ajst-12715	323	18	entities	entity	NOUN
ajst-12715	323	19	,	,	PUNCT
ajst-12715	323	20	and	and	CCONJ
ajst-12715	323	21	position	position	NOUN
ajst-12715	323	22	entities	entity	NOUN
ajst-12715	323	23	.	.	PUNCT
ajst-12715	324	1	the	the	DET
ajst-12715	324	2	limited	limited	ADJ
ajst-12715	324	3	quantity	quantity	NOUN
ajst-12715	324	4	of	of	ADP
ajst-12715	324	5	position	position	NOUN
ajst-12715	324	6	entities	entity	NOUN
ajst-12715	324	7	in	in	ADP
ajst-12715	324	8	the	the	DET
ajst-12715	324	9	dataset	dataset	NOUN
ajst-12715	324	10	construction	construction	NOUN
ajst-12715	324	11	process	process	NOUN
ajst-12715	324	12	contributes	contribute	VERB
ajst-12715	324	13	to	to	ADP
ajst-12715	324	14	this	this	DET
ajst-12715	324	15	issue	issue	NOUN
ajst-12715	324	16	.	.	PUNCT
ajst-12715	325	1	the	the	DET
ajst-12715	325	2	difficulty	difficulty	NOUN
ajst-12715	325	3	in	in	ADP
ajst-12715	325	4	delineating	delineate	VERB
ajst-12715	325	5	boundaries	boundary	NOUN
ajst-12715	325	6	,	,	PUNCT
ajst-12715	325	7	and	and	CCONJ
ajst-12715	325	8	the	the	DET
ajst-12715	325	9	presence	presence	NOUN
ajst-12715	325	10	of	of	ADP
ajst-12715	325	11	numerous	numerous	ADJ
ajst-12715	325	12	noisy	noisy	ADJ
ajst-12715	325	13	information	information	NOUN
ajst-12715	325	14	account	account	VERB
ajst-12715	325	15	for	for	ADP
ajst-12715	325	16	the	the	DET
ajst-12715	325	17	challenges	challenge	NOUN
ajst-12715	325	18	associated	associate	VERB
ajst-12715	325	19	with	with	ADP
ajst-12715	325	20	risk	risk	NOUN
ajst-12715	325	21	entities	entity	NOUN
ajst-12715	325	22	.	.	PUNCT
ajst-12715	326	1	furthermore	furthermore	ADV
ajst-12715	326	2	,	,	PUNCT
ajst-12715	326	3	we	we	PRON
ajst-12715	326	4	evaluated	evaluate	VERB
ajst-12715	326	5	the	the	DET
ajst-12715	326	6	performance	performance	NOUN
ajst-12715	326	7	of	of	ADP
ajst-12715	326	8	the	the	DET
ajst-12715	326	9	mff	mff	NOUN
ajst-12715	326	10	-	-	PUNCT
ajst-12715	326	11	cner	cner	NOUN
ajst-12715	326	12	model	model	NOUN
ajst-12715	326	13	in	in	ADP
ajst-12715	326	14	the	the	DET
ajst-12715	326	15	domain	domain	NOUN
ajst-12715	326	16	-	-	PUNCT
ajst-12715	326	17	specific	specific	ADJ
ajst-12715	326	18	datasets	dataset	NOUN
ajst-12715	326	19	of	of	ADP
ajst-12715	326	20	social	social	ADJ
ajst-12715	326	21	media	medium	NOUN
ajst-12715	326	22	,	,	PUNCT
ajst-12715	326	23	and	and	CCONJ
ajst-12715	326	24	news	news	NOUN
ajst-12715	326	25	,	,	PUNCT
ajst-12715	326	26	comparing	compare	VERB
ajst-12715	326	27	it	it	PRON
ajst-12715	326	28	with	with	ADP
ajst-12715	326	29	other	other	ADJ
ajst-12715	326	30	baseline	baseline	NOUN
ajst-12715	326	31	models	model	NOUN
ajst-12715	326	32	.	.	PUNCT
ajst-12715	327	1	the	the	DET
ajst-12715	327	2	findings	finding	NOUN
ajst-12715	327	3	indicate	indicate	VERB
ajst-12715	327	4	that	that	SCONJ
ajst-12715	327	5	the	the	DET
ajst-12715	327	6	mff	mff	NOUN
ajst-12715	327	7	-	-	PUNCT
ajst-12715	327	8	cner	cner	NOUN
ajst-12715	327	9	model	model	NOUN
ajst-12715	327	10	achieves	achieve	VERB
ajst-12715	327	11	the	the	DET
ajst-12715	327	12	best	good	ADJ
ajst-12715	327	13	results	result	NOUN
ajst-12715	327	14	only	only	ADV
ajst-12715	327	15	in	in	ADP
ajst-12715	327	16	the	the	DET
ajst-12715	327	17	chinese	chinese	ADJ
ajst-12715	327	18	financial	financial	ADJ
ajst-12715	327	19	securities	security	NOUN
ajst-12715	327	20	domain	domain	NOUN
ajst-12715	327	21	,	,	PUNCT
ajst-12715	327	22	thus	thus	ADV
ajst-12715	327	23	confirming	confirm	VERB
ajst-12715	327	24	its	its	PRON
ajst-12715	327	25	applicability	applicability	NOUN
ajst-12715	327	26	in	in	ADP
ajst-12715	327	27	this	this	DET
ajst-12715	327	28	specific	specific	ADJ
ajst-12715	327	29	domain	domain	NOUN
ajst-12715	327	30	.	.	PUNCT
ajst-12715	328	1	finally	finally	ADV
ajst-12715	328	2	,	,	PUNCT
ajst-12715	328	3	we	we	PRON
ajst-12715	328	4	conducted	conduct	VERB
ajst-12715	328	5	ablation	ablation	NOUN
ajst-12715	328	6	experiments	experiment	NOUN
ajst-12715	328	7	on	on	ADP
ajst-12715	328	8	the	the	DET
ajst-12715	328	9	mff	mff	NOUN
ajst-12715	328	10	-	-	PUNCT
ajst-12715	328	11	cner	cner	NOUN
ajst-12715	328	12	model	model	NOUN
ajst-12715	328	13	based	base	VERB
ajst-12715	328	14	on	on	ADP
ajst-12715	328	15	the	the	DET
ajst-12715	328	16	bilstm	bilstm	NOUN
ajst-12715	328	17	-	-	PUNCT
ajst-12715	328	18	crf	crf	NOUN
ajst-12715	328	19	architecture	architecture	NOUN
ajst-12715	328	20	.	.	PUNCT
ajst-12715	329	1	these	these	DET
ajst-12715	329	2	experiments	experiment	NOUN
ajst-12715	329	3	aimed	aim	VERB
ajst-12715	329	4	to	to	PART
ajst-12715	329	5	validate	validate	VERB
ajst-12715	329	6	each	each	DET
ajst-12715	329	7	component	component	NOUN
ajst-12715	329	8	's	's	PART
ajst-12715	329	9	positive	positive	ADJ
ajst-12715	329	10	contribution	contribution	NOUN
ajst-12715	329	11	,	,	PUNCT
ajst-12715	329	12	and	and	CCONJ
ajst-12715	329	13	ensure	ensure	VERB
ajst-12715	329	14	no	no	DET
ajst-12715	329	15	conflicts	conflict	NOUN
ajst-12715	329	16	among	among	ADP
ajst-12715	329	17	the	the	DET
ajst-12715	329	18	components	component	NOUN
ajst-12715	329	19	.	.	PUNCT
ajst-12715	330	1	notably	notably	ADV
ajst-12715	330	2	,	,	PUNCT
ajst-12715	330	3	the	the	DET
ajst-12715	330	4	bert	bert	NOUN
ajst-12715	330	5	,	,	PUNCT
ajst-12715	330	6	and	and	CCONJ
ajst-12715	330	7	attention	attention	NOUN
ajst-12715	330	8	modules	module	NOUN
ajst-12715	330	9	were	be	AUX
ajst-12715	330	10	found	find	VERB
ajst-12715	330	11	to	to	PART
ajst-12715	330	12	play	play	VERB
ajst-12715	330	13	a	a	DET
ajst-12715	330	14	crucial	crucial	ADJ
ajst-12715	330	15	role	role	NOUN
ajst-12715	330	16	in	in	ADP
ajst-12715	330	17	significantly	significantly	ADV
ajst-12715	330	18	improving	improve	VERB
ajst-12715	330	19	the	the	DET
ajst-12715	330	20	model	model	NOUN
ajst-12715	330	21	’s	’s	PART
ajst-12715	330	22	performance	performance	NOUN
ajst-12715	330	23	.	.	PUNCT
ajst-12715	331	1	to	to	PART
ajst-12715	331	2	further	far	ADV
ajst-12715	331	3	enhance	enhance	VERB
ajst-12715	331	4	the	the	DET
ajst-12715	331	5	accuracy	accuracy	NOUN
ajst-12715	331	6	of	of	ADP
ajst-12715	331	7	entity	entity	NOUN
ajst-12715	331	8	recognition	recognition	NOUN
ajst-12715	331	9	in	in	ADP
ajst-12715	331	10	the	the	DET
ajst-12715	331	11	chinese	chinese	ADJ
ajst-12715	331	12	financial	financial	ADJ
ajst-12715	331	13	securities	security	NOUN
ajst-12715	331	14	domain	domain	NOUN
ajst-12715	331	15	,	,	PUNCT
ajst-12715	331	16	and	and	CCONJ
ajst-12715	331	17	address	address	VERB
ajst-12715	331	18	the	the	DET
ajst-12715	331	19	potential	potential	ADJ
ajst-12715	331	20	applications	application	NOUN
ajst-12715	331	21	in	in	ADP
ajst-12715	331	22	building	build	VERB
ajst-12715	331	23	financial	financial	ADJ
ajst-12715	331	24	securities	security	NOUN
ajst-12715	331	25	knowledge	knowledge	NOUN
ajst-12715	331	26	graphs	graph	NOUN
ajst-12715	331	27	,	,	PUNCT
ajst-12715	331	28	and	and	CCONJ
ajst-12715	331	29	analyzing	analyze	VERB
ajst-12715	331	30	factors	factor	NOUN
ajst-12715	331	31	impacting	impact	VERB
ajst-12715	331	32	stock	stock	NOUN
ajst-12715	331	33	prices	price	NOUN
ajst-12715	331	34	,	,	PUNCT
ajst-12715	331	35	future	future	ADJ
ajst-12715	331	36	research	research	NOUN
ajst-12715	331	37	will	will	AUX
ajst-12715	331	38	focus	focus	VERB
ajst-12715	331	39	on	on	ADP
ajst-12715	331	40	the	the	DET
ajst-12715	331	41	following	follow	VERB
ajst-12715	331	42	aspects	aspect	NOUN
ajst-12715	331	43	:	:	PUNCT
ajst-12715	331	44	1	1	X
ajst-12715	331	45	)	)	PUNCT
ajst-12715	331	46	enriching	enrich	VERB
ajst-12715	331	47	the	the	DET
ajst-12715	331	48	construction	construction	NOUN
ajst-12715	331	49	of	of	ADP
ajst-12715	331	50	domain	domain	NOUN
ajst-12715	331	51	-	-	PUNCT
ajst-12715	331	52	specific	specific	ADJ
ajst-12715	331	53	datasets	dataset	NOUN
ajst-12715	331	54	by	by	ADP
ajst-12715	331	55	including	include	VERB
ajst-12715	331	56	more	more	ADJ
ajst-12715	331	57	refined	refined	ADJ
ajst-12715	331	58	entity	entity	NOUN
ajst-12715	331	59	types	type	NOUN
ajst-12715	331	60	;	;	PUNCT
ajst-12715	331	61	2	2	X
ajst-12715	331	62	)	)	PUNCT
ajst-12715	331	63	optimization	optimization	NOUN
ajst-12715	331	64	of	of	ADP
ajst-12715	331	65	the	the	DET
ajst-12715	331	66	mff	mff	NOUN
ajst-12715	331	67	-	-	PUNCT
ajst-12715	331	68	cner	cner	NOUN
ajst-12715	331	69	model	model	NOUN
ajst-12715	331	70	to	to	PART
ajst-12715	331	71	address	address	VERB
ajst-12715	331	72	the	the	DET
ajst-12715	331	73	problem	problem	NOUN
ajst-12715	331	74	of	of	ADP
ajst-12715	331	75	not	not	PART
ajst-12715	331	76	being	be	AUX
ajst-12715	331	77	able	able	ADJ
ajst-12715	331	78	to	to	PART
ajst-12715	331	79	delineate	delineate	VERB
ajst-12715	331	80	well	well	ADV
ajst-12715	331	81	the	the	DET
ajst-12715	331	82	boundaries	boundary	NOUN
ajst-12715	331	83	of	of	ADP
ajst-12715	331	84	certain	certain	ADJ
ajst-12715	331	85	entities	entity	NOUN
ajst-12715	331	86	(	(	PUNCT
ajst-12715	331	87	e.g.	e.g.	ADV
ajst-12715	331	88	,	,	PUNCT
ajst-12715	331	89	risks	risk	NOUN
ajst-12715	331	90	)	)	PUNCT
ajst-12715	331	91	;	;	PUNCT
ajst-12715	331	92	3	3	X
ajst-12715	331	93	)	)	PUNCT
ajst-12715	331	94	much	much	ADJ
ajst-12715	331	95	of	of	ADP
ajst-12715	331	96	the	the	DET
ajst-12715	331	97	relevant	relevant	ADJ
ajst-12715	331	98	information	information	NOUN
ajst-12715	331	99	in	in	ADP
ajst-12715	331	100	this	this	DET
ajst-12715	331	101	field	field	NOUN
ajst-12715	331	102	is	be	AUX
ajst-12715	331	103	in	in	ADP
ajst-12715	331	104	the	the	DET
ajst-12715	331	105	form	form	NOUN
ajst-12715	331	106	of	of	ADP
ajst-12715	331	107	pictures	picture	NOUN
ajst-12715	331	108	,	,	PUNCT
ajst-12715	331	109	and	and	CCONJ
ajst-12715	331	110	tables	table	NOUN
ajst-12715	331	111	,	,	PUNCT
ajst-12715	331	112	in	in	ADP
ajst-12715	331	113	order	order	NOUN
ajst-12715	331	114	to	to	PART
ajst-12715	331	115	further	far	ADV
ajst-12715	331	116	improve	improve	VERB
ajst-12715	331	117	the	the	DET
ajst-12715	331	118	performance	performance	NOUN
ajst-12715	331	119	of	of	ADP
ajst-12715	331	120	the	the	DET
ajst-12715	331	121	model	model	NOUN
ajst-12715	331	122	,	,	PUNCT
ajst-12715	331	123	more	more	ADJ
ajst-12715	331	124	multimodal	multimodal	NOUN
ajst-12715	331	125	features	feature	NOUN
ajst-12715	331	126	are	be	AUX
ajst-12715	331	127	to	to	PART
ajst-12715	331	128	be	be	AUX
ajst-12715	331	129	introduced	introduce	VERB
ajst-12715	331	130	to	to	PART
ajst-12715	331	131	help	help	VERB
ajst-12715	331	132	entity	entity	NOUN
ajst-12715	331	133	recognition	recognition	NOUN
ajst-12715	331	134	in	in	ADP
ajst-12715	331	135	the	the	DET
ajst-12715	331	136	field	field	NOUN
ajst-12715	331	137	of	of	ADP
ajst-12715	331	138	chinese	chinese	ADJ
ajst-12715	331	139	financial	financial	ADJ
ajst-12715	331	140	securities	security	NOUN
ajst-12715	331	141	.	.	PUNCT
ajst-12715	332	1	80	80	NUM
ajst-12715	332	2	82	82	NUM
ajst-12715	332	3	84	84	NUM
ajst-12715	332	4	86	86	NUM
ajst-12715	332	5	88	88	NUM
ajst-12715	332	6	90	90	NUM
ajst-12715	332	7	92	92	NUM
ajst-12715	332	8	model	model	NOUN
ajst-12715	332	9	 	 	SPACE
ajst-12715	332	10	1	1	NUM
ajst-12715	332	11	model	model	NOUN
ajst-12715	332	12	 	 	SPACE
ajst-12715	332	13	2	2	NUM
ajst-12715	332	14	model	model	NOUN
ajst-12715	332	15	 	 	SPACE
ajst-12715	332	16	3	3	NUM
ajst-12715	332	17	model	model	NOUN
ajst-12715	332	18	 	 	SPACE
ajst-12715	332	19	4	4	NUM
ajst-12715	332	20	p/%	p/%	PROPN
ajst-12715	332	21	r/%	r/%	PROPN
ajst-12715	332	22	f1/%	f1/%	VERB
ajst-12715	332	23	48	48	NUM
ajst-12715	332	24	acknowledgment	acknowledgment	NOUN
ajst-12715	332	25	we	we	PRON
ajst-12715	332	26	thank	thank	VERB
ajst-12715	332	27	yanting	yante	VERB
ajst-12715	332	28	ji	ji	PROPN
ajst-12715	332	29	.	.	PUNCT
ajst-12715	333	1	this	this	DET
ajst-12715	333	2	work	work	NOUN
ajst-12715	333	3	was	be	AUX
ajst-12715	333	4	supported	support	VERB
ajst-12715	333	5	in	in	ADP
ajst-12715	333	6	part	part	NOUN
ajst-12715	333	7	by	by	ADP
ajst-12715	333	8	a	a	DET
ajst-12715	333	9	grant	grant	NOUN
ajst-12715	333	10	from	from	ADP
ajst-12715	333	11	the	the	DET
ajst-12715	333	12	nnsf	nnsf	PROPN
ajst-12715	333	13	of	of	ADP
ajst-12715	333	14	china	china	PROPN
ajst-12715	333	15	under	under	ADP
ajst-12715	333	16	grant	grant	PROPN
ajst-12715	333	17	(	(	PUNCT
ajst-12715	333	18	no	no	INTJ
ajst-12715	333	19	.	.	NOUN
ajst-12715	333	20	12271483	12271483	NUM
ajst-12715	333	21	)	)	PUNCT
ajst-12715	333	22	.	.	PUNCT
ajst-12715	334	1	references	reference	NOUN
ajst-12715	334	2	[	[	X
ajst-12715	334	3	1	1	NUM
ajst-12715	334	4	]	]	PUNCT
ajst-12715	334	5	sharnagat	sharnagat	PROPN
ajst-12715	334	6	,	,	PUNCT
ajst-12715	334	7	r.	r.	PROPN
ajst-12715	334	8	,	,	PUNCT
ajst-12715	334	9	named	name	VERB
ajst-12715	334	10	entity	entity	NOUN
ajst-12715	334	11	recognition	recognition	NOUN
ajst-12715	334	12	:	:	PUNCT
ajst-12715	334	13	a	a	DET
ajst-12715	334	14	literature	literature	NOUN
ajst-12715	334	15	survey	survey	NOUN
ajst-12715	334	16	.	.	PUNCT
ajst-12715	335	1	center	center	NOUN
ajst-12715	335	2	for	for	ADP
ajst-12715	335	3	indian	indian	ADJ
ajst-12715	335	4	language	language	NOUN
ajst-12715	335	5	technology	technology	NOUN
ajst-12715	335	6	2014	2014	NUM
ajst-12715	335	7	,	,	PUNCT
ajst-12715	335	8	1	1	NUM
ajst-12715	335	9	-	-	SYM
ajst-12715	335	10	27.w.-k	27.w.-k	NUM
ajst-12715	335	11	.	.	PUNCT
ajst-12715	336	1	chen	chen	PROPN
ajst-12715	336	2	,	,	PUNCT
ajst-12715	336	3	linear	linear	ADJ
ajst-12715	336	4	networks	network	NOUN
ajst-12715	336	5	and	and	CCONJ
ajst-12715	336	6	systems	system	NOUN
ajst-12715	336	7	(	(	PUNCT
ajst-12715	336	8	book	book	NOUN
ajst-12715	336	9	style	style	NOUN
ajst-12715	336	10	)	)	PUNCT
ajst-12715	336	11	.	.	PUNCT
ajst-12715	337	1	belmont	belmont	PROPN
ajst-12715	337	2	,	,	PUNCT
ajst-12715	337	3	ca	can	AUX
ajst-12715	337	4	:	:	PUNCT
ajst-12715	337	5	wadsworth	wadsworth	NOUN
ajst-12715	337	6	,	,	PUNCT
ajst-12715	337	7	1993	1993	NUM
ajst-12715	337	8	,	,	PUNCT
ajst-12715	337	9	pp	pp	ADP
ajst-12715	337	10	.	.	PUNCT
ajst-12715	338	1	123–135	123–135	NUM
ajst-12715	338	2	.	.	PUNCT
ajst-12715	339	1	[	[	X
ajst-12715	339	2	2	2	NUM
ajst-12715	339	3	]	]	PUNCT
ajst-12715	339	4	jayakumar	jayakumar	NOUN
ajst-12715	339	5	,	,	PUNCT
ajst-12715	339	6	h.	h.	PROPN
ajst-12715	339	7	;	;	PUNCT
ajst-12715	339	8	krishnakumar	krishnakumar	PROPN
ajst-12715	339	9	,	,	PUNCT
ajst-12715	339	10	m.	m.	NOUN
ajst-12715	339	11	s.	s.	PROPN
ajst-12715	339	12	;	;	PUNCT
ajst-12715	339	13	peddagopu	peddagopu	ADJ
ajst-12715	339	14	,	,	PUNCT
ajst-12715	339	15	v.	v.	CCONJ
ajst-12715	340	1	v.	v.	ADP
ajst-12715	340	2	v.	v.	ADV
ajst-12715	340	3	;	;	PUNCT
ajst-12715	340	4	sridhar	sridhar	PROPN
ajst-12715	340	5	,	,	PUNCT
ajst-12715	340	6	r.	r.	PROPN
ajst-12715	340	7	,	,	PUNCT
ajst-12715	340	8	rnn	rnn	VERB
ajst-12715	340	9	based	base	VERB
ajst-12715	340	10	question	question	NOUN
ajst-12715	340	11	answer	answer	NOUN
ajst-12715	340	12	generation	generation	NOUN
ajst-12715	340	13	and	and	CCONJ
ajst-12715	340	14	ranking	rank	VERB
ajst-12715	340	15	for	for	ADP
ajst-12715	340	16	financial	financial	ADJ
ajst-12715	340	17	documents	document	NOUN
ajst-12715	340	18	using	use	VERB
ajst-12715	340	19	financial	financial	ADJ
ajst-12715	340	20	ner	ner	NOUN
ajst-12715	340	21	.	.	PUNCT
ajst-12715	341	1	sādhanā	sādhanā	PROPN
ajst-12715	341	2	2020	2020	NUM
ajst-12715	341	3	,	,	PUNCT
ajst-12715	341	4	45	45	NUM
ajst-12715	341	5	,	,	PUNCT
ajst-12715	341	6	1	1	NUM
ajst-12715	341	7	-	-	SYM
ajst-12715	341	8	10	10	NUM
ajst-12715	341	9	.	.	PUNCT
ajst-12715	342	1	[	[	X
ajst-12715	342	2	3	3	NUM
ajst-12715	342	3	]	]	X
ajst-12715	342	4	lamm	lamm	PROPN
ajst-12715	342	5	,	,	PUNCT
ajst-12715	342	6	m.	m.	NOUN
ajst-12715	342	7	;	;	PUNCT
ajst-12715	342	8	palomaki	palomaki	PROPN
ajst-12715	342	9	,	,	PUNCT
ajst-12715	342	10	j.	j.	PROPN
ajst-12715	342	11	;	;	PUNCT
ajst-12715	342	12	alberti	alberti	PROPN
ajst-12715	342	13	,	,	PUNCT
ajst-12715	342	14	c.	c.	PROPN
ajst-12715	342	15	;	;	PUNCT
ajst-12715	342	16	andor	andor	PROPN
ajst-12715	342	17	,	,	PUNCT
ajst-12715	342	18	d.	d.	NOUN
ajst-12715	342	19	;	;	PUNCT
ajst-12715	342	20	choi	choi	PROPN
ajst-12715	342	21	,	,	PUNCT
ajst-12715	342	22	e.	e.	PROPN
ajst-12715	342	23	;	;	PUNCT
ajst-12715	342	24	soares	soares	PROPN
ajst-12715	342	25	,	,	PUNCT
ajst-12715	342	26	l.	l.	PROPN
ajst-12715	342	27	b.	b.	PROPN
ajst-12715	342	28	;	;	PUNCT
ajst-12715	342	29	collins	collins	PROPN
ajst-12715	342	30	,	,	PUNCT
ajst-12715	342	31	m.	m.	NOUN
ajst-12715	342	32	,	,	PUNCT
ajst-12715	342	33	qed	qed	PROPN
ajst-12715	342	34	:	:	PUNCT
ajst-12715	342	35	a	a	DET
ajst-12715	342	36	framework	framework	NOUN
ajst-12715	342	37	and	and	CCONJ
ajst-12715	342	38	dataset	dataset	VERB
ajst-12715	342	39	for	for	ADP
ajst-12715	342	40	explanations	explanation	NOUN
ajst-12715	342	41	in	in	ADP
ajst-12715	342	42	question	question	NOUN
ajst-12715	342	43	answering	answering	NOUN
ajst-12715	342	44	.	.	PUNCT
ajst-12715	343	1	transactions	transaction	NOUN
ajst-12715	343	2	of	of	ADP
ajst-12715	343	3	the	the	DET
ajst-12715	343	4	association	association	NOUN
ajst-12715	343	5	for	for	ADP
ajst-12715	343	6	computational	computational	ADJ
ajst-12715	343	7	linguistics	linguistic	NOUN
ajst-12715	343	8	2021	2021	NUM
ajst-12715	343	9	,	,	PUNCT
ajst-12715	343	10	9	9	NUM
ajst-12715	343	11	,	,	PUNCT
ajst-12715	343	12	790	790	NUM
ajst-12715	343	13	-	-	SYM
ajst-12715	343	14	806	806	NUM
ajst-12715	343	15	.	.	PUNCT
ajst-12715	344	1	[	[	X
ajst-12715	344	2	4	4	NUM
ajst-12715	344	3	]	]	X
ajst-12715	344	4	araújo	araújo	NOUN
ajst-12715	344	5	,	,	PUNCT
ajst-12715	344	6	m.	m.	NOUN
ajst-12715	344	7	;	;	PUNCT
ajst-12715	344	8	pereira	pereira	PROPN
ajst-12715	344	9	,	,	PUNCT
ajst-12715	344	10	a.	a.	PROPN
ajst-12715	344	11	;	;	PUNCT
ajst-12715	344	12	benevenuto	benevenuto	PROPN
ajst-12715	344	13	,	,	PUNCT
ajst-12715	344	14	f.	f.	PROPN
ajst-12715	344	15	,	,	PUNCT
ajst-12715	344	16	a	a	DET
ajst-12715	344	17	comparative	comparative	ADJ
ajst-12715	344	18	study	study	NOUN
ajst-12715	344	19	of	of	ADP
ajst-12715	344	20	machine	machine	NOUN
ajst-12715	344	21	translation	translation	NOUN
ajst-12715	344	22	for	for	ADP
ajst-12715	344	23	multilingual	multilingual	ADJ
ajst-12715	344	24	sentence	sentence	NOUN
ajst-12715	344	25	-	-	PUNCT
ajst-12715	344	26	level	level	NOUN
ajst-12715	344	27	sentiment	sentiment	NOUN
ajst-12715	344	28	analysis	analysis	NOUN
ajst-12715	344	29	.	.	PUNCT
ajst-12715	345	1	information	information	NOUN
ajst-12715	345	2	sciences	science	NOUN
ajst-12715	345	3	2020	2020	NUM
ajst-12715	345	4	,	,	PUNCT
ajst-12715	345	5	512	512	NUM
ajst-12715	345	6	,	,	PUNCT
ajst-12715	345	7	1078	1078	NUM
ajst-12715	345	8	-	-	SYM
ajst-12715	345	9	1102	1102	NUM
ajst-12715	345	10	.	.	PUNCT
ajst-12715	346	1	[	[	X
ajst-12715	346	2	5	5	NUM
ajst-12715	346	3	]	]	SYM
ajst-12715	346	4	rubino	rubino	NOUN
ajst-12715	346	5	,	,	PUNCT
ajst-12715	346	6	r.	r.	PROPN
ajst-12715	346	7	;	;	PUNCT
ajst-12715	346	8	fujita	fujita	PROPN
ajst-12715	346	9	,	,	PUNCT
ajst-12715	346	10	a.	a.	PROPN
ajst-12715	346	11	;	;	PUNCT
ajst-12715	346	12	marie	marie	PROPN
ajst-12715	346	13	,	,	PUNCT
ajst-12715	346	14	b.	b.	PROPN
ajst-12715	346	15	in	in	ADP
ajst-12715	346	16	error	error	NOUN
ajst-12715	346	17	identification	identification	NOUN
ajst-12715	346	18	for	for	ADP
ajst-12715	346	19	machine	machine	NOUN
ajst-12715	346	20	translation	translation	NOUN
ajst-12715	346	21	with	with	ADP
ajst-12715	346	22	metric	metric	ADJ
ajst-12715	346	23	embedding	embedding	NOUN
ajst-12715	346	24	and	and	CCONJ
ajst-12715	346	25	attention	attention	NOUN
ajst-12715	346	26	,	,	PUNCT
ajst-12715	346	27	proceedings	proceeding	NOUN
ajst-12715	346	28	of	of	ADP
ajst-12715	346	29	the	the	DET
ajst-12715	346	30	2nd	2nd	ADJ
ajst-12715	346	31	workshop	workshop	NOUN
ajst-12715	346	32	on	on	ADP
ajst-12715	346	33	evaluation	evaluation	NOUN
ajst-12715	346	34	and	and	CCONJ
ajst-12715	346	35	comparison	comparison	NOUN
ajst-12715	346	36	of	of	ADP
ajst-12715	346	37	nlp	nlp	NOUN
ajst-12715	346	38	systems	system	NOUN
ajst-12715	346	39	,	,	PUNCT
ajst-12715	346	40	2021	2021	NUM
ajst-12715	346	41	;	;	PUNCT
ajst-12715	346	42	pp	pp	PROPN
ajst-12715	346	43	146	146	NUM
ajst-12715	346	44	-	-	SYM
ajst-12715	346	45	156	156	NUM
ajst-12715	346	46	.	.	PUNCT
ajst-12715	347	1	[	[	X
ajst-12715	347	2	6	6	NUM
ajst-12715	347	3	]	]	SYM
ajst-12715	347	4	bosselut	bosselut	NOUN
ajst-12715	347	5	,	,	PUNCT
ajst-12715	347	6	a.	a.	NOUN
ajst-12715	347	7	;	;	PUNCT
ajst-12715	347	8	le	le	X
ajst-12715	347	9	bras	bras	PROPN
ajst-12715	347	10	,	,	PUNCT
ajst-12715	347	11	r.	r.	PROPN
ajst-12715	347	12	;	;	PUNCT
ajst-12715	347	13	choi	choi	NOUN
ajst-12715	347	14	,	,	PUNCT
ajst-12715	347	15	y.	y.	NOUN
ajst-12715	347	16	in	in	ADP
ajst-12715	347	17	dynamic	dynamic	ADJ
ajst-12715	347	18	neurosymbolic	neurosymbolic	ADJ
ajst-12715	347	19	knowledge	knowledge	NOUN
ajst-12715	347	20	graph	graph	NOUN
ajst-12715	347	21	construction	construction	NOUN
ajst-12715	347	22	for	for	ADP
ajst-12715	347	23	zero	zero	NUM
ajst-12715	347	24	-	-	PUNCT
ajst-12715	347	25	shot	shoot	VERB
ajst-12715	347	26	commonsense	commonsense	ADJ
ajst-12715	347	27	question	question	NOUN
ajst-12715	347	28	answering	answering	NOUN
ajst-12715	347	29	,	,	PUNCT
ajst-12715	347	30	proceedings	proceeding	NOUN
ajst-12715	347	31	of	of	ADP
ajst-12715	347	32	the	the	DET
ajst-12715	347	33	aaai	aaai	PROPN
ajst-12715	347	34	conference	conference	NOUN
ajst-12715	347	35	on	on	ADP
ajst-12715	347	36	artificial	artificial	ADJ
ajst-12715	347	37	intelligence	intelligence	NOUN
ajst-12715	347	38	,	,	PUNCT
ajst-12715	347	39	2021	2021	NUM
ajst-12715	347	40	;	;	PUNCT
ajst-12715	347	41	pp	pp	PRON
ajst-12715	347	42	4923	4923	NUM
ajst-12715	347	43	-	-	SYM
ajst-12715	347	44	4931	4931	NUM
ajst-12715	347	45	.	.	PUNCT
ajst-12715	348	1	[	[	X
ajst-12715	348	2	7	7	NUM
ajst-12715	348	3	]	]	X
ajst-12715	348	4	wang	wang	PROPN
ajst-12715	348	5	,	,	PUNCT
ajst-12715	348	6	w.	w.	PROPN
ajst-12715	348	7	;	;	PUNCT
ajst-12715	348	8	xu	xu	PROPN
ajst-12715	348	9	,	,	PUNCT
ajst-12715	348	10	y.	y.	PROPN
ajst-12715	348	11	;	;	PUNCT
ajst-12715	348	12	du	du	PROPN
ajst-12715	348	13	,	,	PUNCT
ajst-12715	348	14	c.	c.	PROPN
ajst-12715	348	15	;	;	PUNCT
ajst-12715	348	16	chen	chen	PROPN
ajst-12715	348	17	,	,	PUNCT
ajst-12715	348	18	y.	y.	PROPN
ajst-12715	348	19	;	;	PUNCT
ajst-12715	348	20	wang	wang	PROPN
ajst-12715	348	21	,	,	PUNCT
ajst-12715	348	22	y.	y.	PROPN
ajst-12715	348	23	;	;	PUNCT
ajst-12715	348	24	wen	wen	PROPN
ajst-12715	348	25	,	,	PUNCT
ajst-12715	348	26	h.	h.	PROPN
ajst-12715	348	27	,	,	PUNCT
ajst-12715	348	28	data	datum	NOUN
ajst-12715	348	29	set	set	VERB
ajst-12715	348	30	and	and	CCONJ
ajst-12715	348	31	evaluation	evaluation	NOUN
ajst-12715	348	32	of	of	ADP
ajst-12715	348	33	automated	automate	VERB
ajst-12715	348	34	construction	construction	NOUN
ajst-12715	348	35	of	of	ADP
ajst-12715	348	36	financial	financial	ADJ
ajst-12715	348	37	knowledge	knowledge	NOUN
ajst-12715	348	38	graph	graph	NOUN
ajst-12715	348	39	.	.	PUNCT
ajst-12715	349	1	data	datum	NOUN
ajst-12715	349	2	intelligence	intelligence	NOUN
ajst-12715	349	3	2021	2021	NUM
ajst-12715	349	4	,	,	PUNCT
ajst-12715	349	5	3	3	NUM
ajst-12715	349	6	(	(	PUNCT
ajst-12715	349	7	3	3	NUM
ajst-12715	349	8	)	)	PUNCT
ajst-12715	349	9	,	,	PUNCT
ajst-12715	349	10	418	418	NUM
ajst-12715	349	11	-	-	SYM
ajst-12715	349	12	443	443	NUM
ajst-12715	349	13	.	.	PUNCT
ajst-12715	350	1	[	[	X
ajst-12715	350	2	8	8	NUM
ajst-12715	350	3	]	]	SYM
ajst-12715	350	4	li	li	PROPN
ajst-12715	350	5	,	,	PUNCT
ajst-12715	350	6	j.	j.	PROPN
ajst-12715	350	7	;	;	PUNCT
ajst-12715	350	8	sun	sun	PROPN
ajst-12715	350	9	,	,	PUNCT
ajst-12715	350	10	a.	a.	NOUN
ajst-12715	350	11	;	;	PUNCT
ajst-12715	350	12	han	han	PROPN
ajst-12715	350	13	,	,	PUNCT
ajst-12715	350	14	j.	j.	PROPN
ajst-12715	350	15	;	;	PUNCT
ajst-12715	350	16	li	li	PROPN
ajst-12715	350	17	,	,	PUNCT
ajst-12715	350	18	c.	c.	PROPN
ajst-12715	350	19	,	,	PUNCT
ajst-12715	350	20	a	a	DET
ajst-12715	350	21	survey	survey	NOUN
ajst-12715	350	22	on	on	ADP
ajst-12715	350	23	deep	deep	ADJ
ajst-12715	350	24	learning	learning	NOUN
ajst-12715	350	25	for	for	ADP
ajst-12715	350	26	named	name	VERB
ajst-12715	350	27	entity	entity	NOUN
ajst-12715	350	28	recognition	recognition	NOUN
ajst-12715	350	29	.	.	PUNCT
ajst-12715	351	1	ieee	ieee	NOUN
ajst-12715	351	2	transactions	transaction	NOUN
ajst-12715	351	3	on	on	ADP
ajst-12715	351	4	knowledge	knowledge	NOUN
ajst-12715	351	5	and	and	CCONJ
ajst-12715	351	6	data	datum	NOUN
ajst-12715	351	7	engineering	engineering	NOUN
ajst-12715	351	8	2020	2020	NUM
ajst-12715	351	9	,	,	PUNCT
ajst-12715	351	10	34	34	NUM
ajst-12715	351	11	(	(	PUNCT
ajst-12715	351	12	1	1	NUM
ajst-12715	351	13	)	)	PUNCT
ajst-12715	351	14	,	,	PUNCT
ajst-12715	351	15	50	50	NUM
ajst-12715	351	16	-	-	SYM
ajst-12715	351	17	70	70	NUM
ajst-12715	351	18	.	.	PUNCT
ajst-12715	352	1	[	[	X
ajst-12715	352	2	9	9	NUM
ajst-12715	352	3	]	]	X
ajst-12715	352	4	liu	liu	PROPN
ajst-12715	352	5	,	,	PUNCT
ajst-12715	352	6	p.	p.	PROPN
ajst-12715	352	7	;	;	PUNCT
ajst-12715	352	8	guo	guo	PROPN
ajst-12715	352	9	,	,	PUNCT
ajst-12715	352	10	y.	y.	PROPN
ajst-12715	352	11	;	;	PUNCT
ajst-12715	352	12	wang	wang	PROPN
ajst-12715	352	13	,	,	PUNCT
ajst-12715	352	14	f.	f.	PROPN
ajst-12715	352	15	;	;	PUNCT
ajst-12715	352	16	li	li	PROPN
ajst-12715	352	17	,	,	PUNCT
ajst-12715	352	18	g.	g.	PROPN
ajst-12715	352	19	,	,	PUNCT
ajst-12715	352	20	chinese	chinese	PROPN
ajst-12715	352	21	named	name	VERB
ajst-12715	352	22	entity	entity	NOUN
ajst-12715	352	23	recognition	recognition	NOUN
ajst-12715	352	24	:	:	PUNCT
ajst-12715	352	25	the	the	DET
ajst-12715	352	26	state	state	NOUN
ajst-12715	352	27	of	of	ADP
ajst-12715	352	28	the	the	DET
ajst-12715	352	29	art	art	NOUN
ajst-12715	352	30	.	.	PUNCT
ajst-12715	353	1	neurocomputing	neurocompute	VERB
ajst-12715	353	2	2022	2022	NUM
ajst-12715	353	3	,	,	PUNCT
ajst-12715	353	4	473	473	NUM
ajst-12715	353	5	,	,	PUNCT
ajst-12715	353	6	37	37	NUM
ajst-12715	353	7	-	-	SYM
ajst-12715	353	8	53	53	NUM
ajst-12715	353	9	.	.	PUNCT
ajst-12715	354	1	[	[	X
ajst-12715	354	2	10	10	NUM
ajst-12715	354	3	]	]	PUNCT
ajst-12715	354	4	asghari	asghari	ADJ
ajst-12715	354	5	,	,	PUNCT
ajst-12715	354	6	m.	m.	NOUN
ajst-12715	354	7	;	;	PUNCT
ajst-12715	354	8	sierra	sierra	PROPN
ajst-12715	354	9	-	-	PUNCT
ajst-12715	354	10	sosa	sosa	PROPN
ajst-12715	354	11	,	,	PUNCT
ajst-12715	354	12	d.	d.	PROPN
ajst-12715	354	13	;	;	PUNCT
ajst-12715	354	14	elmaghraby	elmaghraby	ADV
ajst-12715	354	15	,	,	PUNCT
ajst-12715	354	16	a.	a.	PROPN
ajst-12715	354	17	s.	s.	PROPN
ajst-12715	354	18	,	,	PUNCT
ajst-12715	354	19	biner	biner	NOUN
ajst-12715	354	20	:	:	PUNCT
ajst-12715	354	21	a	a	DET
ajst-12715	354	22	low	low	ADJ
ajst-12715	354	23	-	-	PUNCT
ajst-12715	354	24	cost	cost	NOUN
ajst-12715	354	25	biomedical	biomedical	NOUN
ajst-12715	354	26	named	name	VERB
ajst-12715	354	27	entity	entity	NOUN
ajst-12715	354	28	recognition	recognition	NOUN
ajst-12715	354	29	.	.	PUNCT
ajst-12715	355	1	information	information	NOUN
ajst-12715	355	2	sciences	science	NOUN
ajst-12715	355	3	2022	2022	NUM
ajst-12715	355	4	,	,	PUNCT
ajst-12715	355	5	602	602	NUM
ajst-12715	355	6	,	,	PUNCT
ajst-12715	355	7	184	184	NUM
ajst-12715	355	8	-	-	SYM
ajst-12715	355	9	200	200	NUM
ajst-12715	355	10	.	.	PUNCT
ajst-12715	356	1	[	[	X
ajst-12715	356	2	11	11	NUM
ajst-12715	356	3	]	]	SYM
ajst-12715	356	4	li	li	PROPN
ajst-12715	356	5	,	,	PUNCT
ajst-12715	356	6	y.	y.	PROPN
ajst-12715	356	7	;	;	PUNCT
ajst-12715	356	8	wang	wang	PROPN
ajst-12715	356	9	,	,	PUNCT
ajst-12715	356	10	x.	x.	PROPN
ajst-12715	356	11	;	;	PUNCT
ajst-12715	356	12	hui	hui	PROPN
ajst-12715	356	13	,	,	PUNCT
ajst-12715	356	14	l.	l.	PROPN
ajst-12715	356	15	;	;	PUNCT
ajst-12715	356	16	zou	zou	PROPN
ajst-12715	356	17	,	,	PUNCT
ajst-12715	356	18	l.	l.	PROPN
ajst-12715	356	19	;	;	PUNCT
ajst-12715	356	20	li	li	PROPN
ajst-12715	356	21	,	,	PUNCT
ajst-12715	356	22	h.	h.	PROPN
ajst-12715	356	23	;	;	PUNCT
ajst-12715	356	24	xu	xu	PROPN
ajst-12715	356	25	,	,	PUNCT
ajst-12715	356	26	l.	l.	PROPN
ajst-12715	356	27	;	;	PUNCT
ajst-12715	356	28	liu	liu	PROPN
ajst-12715	356	29	,	,	PUNCT
ajst-12715	356	30	w.	w.	PROPN
ajst-12715	356	31	,	,	PUNCT
ajst-12715	356	32	chinese	chinese	ADJ
ajst-12715	356	33	clinical	clinical	ADJ
ajst-12715	356	34	named	name	VERB
ajst-12715	356	35	entity	entity	NOUN
ajst-12715	356	36	recognition	recognition	NOUN
ajst-12715	356	37	in	in	ADP
ajst-12715	356	38	electronic	electronic	ADJ
ajst-12715	356	39	medical	medical	ADJ
ajst-12715	356	40	records	record	NOUN
ajst-12715	356	41	:	:	PUNCT
ajst-12715	356	42	development	development	NOUN
ajst-12715	356	43	of	of	ADP
ajst-12715	356	44	a	a	DET
ajst-12715	356	45	lattice	lattice	NOUN
ajst-12715	356	46	long	long	ADJ
ajst-12715	356	47	short	short	ADJ
ajst-12715	356	48	-	-	PUNCT
ajst-12715	356	49	term	term	NOUN
ajst-12715	356	50	memory	memory	NOUN
ajst-12715	356	51	model	model	NOUN
ajst-12715	356	52	with	with	ADP
ajst-12715	356	53	contextualized	contextualized	ADJ
ajst-12715	356	54	character	character	NOUN
ajst-12715	356	55	representations	representation	NOUN
ajst-12715	356	56	.	.	PUNCT
ajst-12715	357	1	jmir	jmir	PROPN
ajst-12715	357	2	medical	medical	ADJ
ajst-12715	357	3	informatics	informatic	NOUN
ajst-12715	357	4	2020	2020	NUM
ajst-12715	357	5	,	,	PUNCT
ajst-12715	357	6	8	8	NUM
ajst-12715	357	7	(	(	PUNCT
ajst-12715	357	8	9	9	NUM
ajst-12715	357	9	)	)	PUNCT
ajst-12715	357	10	,	,	PUNCT
ajst-12715	357	11	e19848	e19848	PROPN
ajst-12715	357	12	.	.	PUNCT
ajst-12715	358	1	[	[	X
ajst-12715	358	2	12	12	NUM
ajst-12715	358	3	]	]	PUNCT
ajst-12715	358	4	trewartha	trewartha	NOUN
ajst-12715	358	5	,	,	PUNCT
ajst-12715	358	6	a.	a.	NOUN
ajst-12715	358	7	;	;	PUNCT
ajst-12715	358	8	walker	walker	PROPN
ajst-12715	358	9	,	,	PUNCT
ajst-12715	358	10	n.	n.	NOUN
ajst-12715	358	11	;	;	PUNCT
ajst-12715	358	12	huo	huo	PROPN
ajst-12715	358	13	,	,	PUNCT
ajst-12715	358	14	h.	h.	PROPN
ajst-12715	358	15	;	;	PUNCT
ajst-12715	358	16	lee	lee	PROPN
ajst-12715	358	17	,	,	PUNCT
ajst-12715	358	18	s.	s.	PROPN
ajst-12715	358	19	;	;	PUNCT
ajst-12715	358	20	cruse	cruse	PROPN
ajst-12715	358	21	,	,	PUNCT
ajst-12715	358	22	k.	k.	PROPN
ajst-12715	358	23	;	;	PUNCT
ajst-12715	358	24	dagdelen	dagdelen	PROPN
ajst-12715	358	25	,	,	PUNCT
ajst-12715	358	26	j.	j.	PROPN
ajst-12715	358	27	;	;	PUNCT
ajst-12715	358	28	dunn	dunn	PROPN
ajst-12715	358	29	,	,	PUNCT
ajst-12715	358	30	a.	a.	PROPN
ajst-12715	358	31	;	;	PUNCT
ajst-12715	358	32	persson	persson	PROPN
ajst-12715	358	33	,	,	PUNCT
ajst-12715	358	34	k.	k.	PROPN
ajst-12715	358	35	a.	a.	PROPN
ajst-12715	358	36	;	;	PUNCT
ajst-12715	358	37	ceder	ceder	PROPN
ajst-12715	358	38	,	,	PUNCT
ajst-12715	358	39	g.	g.	PROPN
ajst-12715	358	40	;	;	PUNCT
ajst-12715	358	41	jain	jain	PROPN
ajst-12715	358	42	,	,	PUNCT
ajst-12715	358	43	a.	a.	NOUN
ajst-12715	358	44	,	,	PUNCT
ajst-12715	358	45	quantifying	quantify	VERB
ajst-12715	358	46	the	the	DET
ajst-12715	358	47	advantage	advantage	NOUN
ajst-12715	358	48	of	of	ADP
ajst-12715	358	49	domain	domain	NOUN
ajst-12715	358	50	-	-	PUNCT
ajst-12715	358	51	specific	specific	ADJ
ajst-12715	358	52	pre	pre	NOUN
ajst-12715	358	53	-	-	NOUN
ajst-12715	358	54	training	training	NOUN
ajst-12715	358	55	on	on	ADP
ajst-12715	358	56	named	name	VERB
ajst-12715	358	57	entity	entity	NOUN
ajst-12715	358	58	recognition	recognition	NOUN
ajst-12715	358	59	tasks	task	NOUN
ajst-12715	358	60	in	in	ADP
ajst-12715	358	61	materials	material	NOUN
ajst-12715	358	62	science	science	NOUN
ajst-12715	358	63	.	.	PUNCT
ajst-12715	359	1	patterns	pattern	NOUN
ajst-12715	359	2	2022	2022	NUM
ajst-12715	359	3	,	,	PUNCT
ajst-12715	359	4	3	3	NUM
ajst-12715	359	5	(	(	PUNCT
ajst-12715	359	6	4	4	NUM
ajst-12715	359	7	)	)	PUNCT
ajst-12715	359	8	,	,	PUNCT
ajst-12715	359	9	100488	100488	NUM
ajst-12715	359	10	.	.	PUNCT
ajst-12715	360	1	[	[	X
ajst-12715	360	2	13	13	NUM
ajst-12715	360	3	]	]	X
ajst-12715	360	4	qiurong	qiurong	NOUN
ajst-12715	360	5	,	,	PUNCT
ajst-12715	360	6	x.	x.	PROPN
ajst-12715	360	7	;	;	PUNCT
ajst-12715	360	8	peng	peng	PROPN
ajst-12715	360	9	,	,	PUNCT
ajst-12715	360	10	z.	z.	PROPN
ajst-12715	360	11	;	;	PUNCT
ajst-12715	360	12	yifeng	yifeng	PROPN
ajst-12715	360	13	,	,	PUNCT
ajst-12715	360	14	l.	l.	PROPN
ajst-12715	360	15	;	;	PUNCT
ajst-12715	360	16	qiwen	qiwen	PROPN
ajst-12715	360	17	,	,	PUNCT
ajst-12715	360	18	d.	d.	PROPN
ajst-12715	360	19	,	,	PUNCT
ajst-12715	360	20	research	research	NOUN
ajst-12715	360	21	progress	progress	NOUN
ajst-12715	360	22	in	in	ADP
ajst-12715	360	23	chinese	chinese	PROPN
ajst-12715	360	24	named	name	VERB
ajst-12715	360	25	entity	entity	NOUN
ajst-12715	360	26	recognition	recognition	NOUN
ajst-12715	360	27	in	in	ADP
ajst-12715	360	28	the	the	DET
ajst-12715	360	29	financial	financial	ADJ
ajst-12715	360	30	field	field	NOUN
ajst-12715	360	31	.	.	PUNCT
ajst-12715	361	1	journal	journal	PROPN
ajst-12715	361	2	of	of	ADP
ajst-12715	361	3	east	east	PROPN
ajst-12715	361	4	china	china	PROPN
ajst-12715	361	5	normal	normal	PROPN
ajst-12715	361	6	university	university	PROPN
ajst-12715	361	7	(	(	PUNCT
ajst-12715	361	8	natural	natural	ADJ
ajst-12715	361	9	science	science	NOUN
ajst-12715	361	10	)	)	PUNCT
ajst-12715	361	11	2021	2021	NUM
ajst-12715	361	12	,	,	PUNCT
ajst-12715	361	13	2021	2021	NUM
ajst-12715	361	14	(	(	PUNCT
ajst-12715	361	15	5	5	NUM
ajst-12715	361	16	)	)	PUNCT
ajst-12715	361	17	,	,	PUNCT
ajst-12715	361	18	1	1	X
ajst-12715	361	19	.	.	PUNCT
ajst-12715	362	1	[	[	X
ajst-12715	362	2	14	14	NUM
ajst-12715	362	3	]	]	X
ajst-12715	362	4	liu	liu	PROPN
ajst-12715	362	5	,	,	PUNCT
ajst-12715	362	6	y.	y.	PROPN
ajst-12715	362	7	;	;	PUNCT
ajst-12715	362	8	li	li	PROPN
ajst-12715	362	9	,	,	PUNCT
ajst-12715	362	10	x.	x.	PROPN
ajst-12715	362	11	;	;	PUNCT
ajst-12715	362	12	shi	shi	PROPN
ajst-12715	362	13	,	,	PUNCT
ajst-12715	362	14	j.	j.	PROPN
ajst-12715	362	15	;	;	PUNCT
ajst-12715	362	16	zhang	zhang	PROPN
ajst-12715	362	17	,	,	PUNCT
ajst-12715	362	18	l.	l.	PROPN
ajst-12715	362	19	;	;	PUNCT
ajst-12715	362	20	li	li	PROPN
ajst-12715	362	21	,	,	PUNCT
ajst-12715	362	22	j.	j.	PROPN
ajst-12715	363	1	in	in	ADP
ajst-12715	363	2	named	name	VERB
ajst-12715	363	3	entity	entity	NOUN
ajst-12715	363	4	recognition	recognition	NOUN
ajst-12715	363	5	using	use	VERB
ajst-12715	363	6	a	a	DET
ajst-12715	363	7	semi	semi	ADJ
ajst-12715	363	8	-	-	ADJ
ajst-12715	363	9	supervised	supervised	ADJ
ajst-12715	363	10	model	model	NOUN
ajst-12715	363	11	based	base	VERB
ajst-12715	363	12	on	on	ADP
ajst-12715	363	13	bert	bert	PROPN
ajst-12715	363	14	and	and	CCONJ
ajst-12715	363	15	bootstrapping	bootstrapping	NOUN
ajst-12715	363	16	,	,	PUNCT
ajst-12715	363	17	knowledge	knowledge	NOUN
ajst-12715	363	18	graph	graph	NOUN
ajst-12715	363	19	and	and	CCONJ
ajst-12715	363	20	semantic	semantic	ADJ
ajst-12715	363	21	computing	computing	NOUN
ajst-12715	363	22	:	:	PUNCT
ajst-12715	363	23	knowledge	knowledge	NOUN
ajst-12715	363	24	graph	graph	NOUN
ajst-12715	363	25	and	and	CCONJ
ajst-12715	363	26	cognitive	cognitive	ADJ
ajst-12715	363	27	intelligence	intelligence	NOUN
ajst-12715	363	28	:	:	PUNCT
ajst-12715	363	29	5th	5th	ADJ
ajst-12715	363	30	china	china	PROPN
ajst-12715	363	31	conference	conference	NOUN
ajst-12715	363	32	,	,	PUNCT
ajst-12715	363	33	ccks	cck	VERB
ajst-12715	363	34	2020	2020	NUM
ajst-12715	363	35	,	,	PUNCT
ajst-12715	363	36	nanchang	nanchang	PROPN
ajst-12715	363	37	,	,	PUNCT
ajst-12715	363	38	china	china	PROPN
ajst-12715	363	39	,	,	PUNCT
ajst-12715	363	40	november	november	PROPN
ajst-12715	363	41	12–15	12–15	NUM
ajst-12715	363	42	,	,	PUNCT
ajst-12715	363	43	2020	2020	NUM
ajst-12715	363	44	,	,	PUNCT
ajst-12715	363	45	revised	revise	VERB
ajst-12715	363	46	selected	selected	ADJ
ajst-12715	363	47	papers	paper	NOUN
ajst-12715	363	48	,	,	PUNCT
ajst-12715	363	49	springer	springer	NOUN
ajst-12715	363	50	:	:	PUNCT
ajst-12715	363	51	2021	2021	NUM
ajst-12715	363	52	;	;	PUNCT
ajst-12715	363	53	pp	pp	PROPN
ajst-12715	363	54	54	54	NUM
ajst-12715	363	55	-	-	SYM
ajst-12715	363	56	63	63	NUM
ajst-12715	363	57	.	.	PUNCT
ajst-12715	364	1	[	[	X
ajst-12715	364	2	15	15	NUM
ajst-12715	364	3	]	]	X
ajst-12715	364	4	yuhan	yuhan	PROPN
ajst-12715	364	5	,	,	PUNCT
ajst-12715	364	6	l.	l.	PROPN
ajst-12715	364	7	;	;	PUNCT
ajst-12715	364	8	changjian	changjian	PROPN
ajst-12715	364	9	,	,	PUNCT
ajst-12715	364	10	l.	l.	PROPN
ajst-12715	364	11	;	;	PUNCT
ajst-12715	364	12	ruifeng	ruifeng	PROPN
ajst-12715	364	13	,	,	PUNCT
ajst-12715	364	14	x.	x.	PROPN
ajst-12715	364	15	;	;	PUNCT
ajst-12715	364	16	wangda	wangda	NOUN
ajst-12715	364	17	,	,	PUNCT
ajst-12715	364	18	l.	l.	PROPN
ajst-12715	364	19	,	,	PUNCT
ajst-12715	364	20	utilizing	utilize	VERB
ajst-12715	364	21	glyph	glyph	ADJ
ajst-12715	364	22	feature	feature	NOUN
ajst-12715	364	23	and	and	CCONJ
ajst-12715	364	24	iterative	iterative	NOUN
ajst-12715	364	25	learning	learning	NOUN
ajst-12715	364	26	for	for	ADP
ajst-12715	364	27	named	name	VERB
ajst-12715	364	28	entity	entity	NOUN
ajst-12715	364	29	recognition	recognition	NOUN
ajst-12715	364	30	in	in	ADP
ajst-12715	364	31	finance	finance	NOUN
ajst-12715	364	32	text	text	NOUN
ajst-12715	364	33	.	.	PUNCT
ajst-12715	365	1	journal	journal	PROPN
ajst-12715	365	2	of	of	ADP
ajst-12715	365	3	chinese	chinese	ADJ
ajst-12715	365	4	information	information	NOUN
ajst-12715	365	5	processing	process	VERB
ajst-12715	365	6	2020	2020	NUM
ajst-12715	365	7	,	,	PUNCT
ajst-12715	365	8	34	34	NUM
ajst-12715	365	9	(	(	PUNCT
ajst-12715	365	10	11	11	NUM
ajst-12715	365	11	)	)	PUNCT
ajst-12715	365	12	,	,	PUNCT
ajst-12715	365	13	74	74	NUM
ajst-12715	365	14	-	-	SYM
ajst-12715	365	15	83	83	NUM
ajst-12715	365	16	.	.	PUNCT
ajst-12715	366	1	[	[	X
ajst-12715	366	2	16	16	NUM
ajst-12715	366	3	]	]	X
ajst-12715	366	4	huang	huang	PROPN
ajst-12715	366	5	,	,	PUNCT
ajst-12715	366	6	z.	z.	PROPN
ajst-12715	366	7	;	;	PUNCT
ajst-12715	366	8	xu	xu	PROPN
ajst-12715	366	9	,	,	PUNCT
ajst-12715	366	10	w.	w.	PROPN
ajst-12715	366	11	;	;	PUNCT
ajst-12715	366	12	yu	yu	PROPN
ajst-12715	366	13	,	,	PUNCT
ajst-12715	366	14	k.	k.	PROPN
ajst-12715	366	15	,	,	PUNCT
ajst-12715	366	16	bidirectional	bidirectional	ADJ
ajst-12715	366	17	lstm	lstm	PROPN
ajst-12715	366	18	-	-	PUNCT
ajst-12715	366	19	crf	crf	NOUN
ajst-12715	366	20	models	model	NOUN
ajst-12715	366	21	for	for	ADP
ajst-12715	366	22	sequence	sequence	NOUN
ajst-12715	366	23	tagging	tagging	NOUN
ajst-12715	366	24	.	.	PUNCT
ajst-12715	367	1	arxiv	arxiv	PROPN
ajst-12715	367	2	preprint	preprint	VERB
ajst-12715	367	3	arxiv:1508.01991	arxiv:1508.01991	NOUN
ajst-12715	367	4	2015	2015	NUM
ajst-12715	367	5	.	.	PUNCT
ajst-12715	368	1	[	[	X
ajst-12715	368	2	17	17	NUM
ajst-12715	368	3	]	]	X
ajst-12715	368	4	shen	shen	NOUN
ajst-12715	368	5	,	,	PUNCT
ajst-12715	368	6	j.	j.	PROPN
ajst-12715	368	7	;	;	PUNCT
ajst-12715	368	8	li	li	PROPN
ajst-12715	368	9	,	,	PUNCT
ajst-12715	368	10	f.	f.	PROPN
ajst-12715	368	11	;	;	PUNCT
ajst-12715	368	12	xu	xu	PROPN
ajst-12715	368	13	,	,	PUNCT
ajst-12715	368	14	f.	f.	PROPN
ajst-12715	368	15	;	;	PUNCT
ajst-12715	368	16	uszkoreit	uszkoreit	PROPN
ajst-12715	368	17	,	,	PUNCT
ajst-12715	368	18	h.	h.	PROPN
ajst-12715	368	19	,	,	PUNCT
ajst-12715	368	20	recognition	recognition	NOUN
ajst-12715	368	21	of	of	ADP
ajst-12715	368	22	chinese	chinese	ADJ
ajst-12715	368	23	organization	organization	NOUN
ajst-12715	368	24	names	name	NOUN
ajst-12715	368	25	and	and	CCONJ
ajst-12715	368	26	abbreviations	abbreviation	NOUN
ajst-12715	368	27	.	.	PUNCT
ajst-12715	369	1	journal	journal	NOUN
ajst-12715	369	2	of	of	ADP
ajst-12715	369	3	chinese	chinese	ADJ
ajst-12715	369	4	information	information	NOUN
ajst-12715	369	5	processing	processing	NOUN
ajst-12715	369	6	2007	2007	NUM
ajst-12715	369	7	,	,	PUNCT
ajst-12715	369	8	21	21	NUM
ajst-12715	369	9	(	(	PUNCT
ajst-12715	369	10	6	6	NUM
ajst-12715	369	11	)	)	PUNCT
ajst-12715	369	12	,	,	PUNCT
ajst-12715	369	13	17	17	NUM
ajst-12715	369	14	-	-	SYM
ajst-12715	369	15	21	21	NUM
ajst-12715	369	16	.	.	PUNCT
ajst-12715	370	1	[	[	X
ajst-12715	370	2	18	18	NUM
ajst-12715	370	3	]	]	X
ajst-12715	370	4	wang	wang	PROPN
ajst-12715	370	5	,	,	PUNCT
ajst-12715	370	6	s.	s.	PROPN
ajst-12715	370	7	;	;	PUNCT
ajst-12715	370	8	xu	xu	PROPN
ajst-12715	370	9	,	,	PUNCT
ajst-12715	370	10	r.	r.	PROPN
ajst-12715	370	11	;	;	PUNCT
ajst-12715	370	12	liu	liu	PROPN
ajst-12715	370	13	,	,	PUNCT
ajst-12715	370	14	b.	b.	PROPN
ajst-12715	370	15	;	;	PUNCT
ajst-12715	370	16	gui	gui	PROPN
ajst-12715	370	17	,	,	PUNCT
ajst-12715	370	18	l.	l.	PROPN
ajst-12715	370	19	;	;	PUNCT
ajst-12715	370	20	zhou	zhou	PROPN
ajst-12715	370	21	,	,	PUNCT
ajst-12715	370	22	y.	y.	NOUN
ajst-12715	370	23	in	in	ADP
ajst-12715	370	24	financial	financial	ADJ
ajst-12715	370	25	named	name	VERB
ajst-12715	370	26	entity	entity	NOUN
ajst-12715	370	27	recognition	recognition	NOUN
ajst-12715	370	28	based	base	VERB
ajst-12715	370	29	on	on	ADP
ajst-12715	370	30	conditional	conditional	ADJ
ajst-12715	370	31	random	random	ADJ
ajst-12715	370	32	fields	field	NOUN
ajst-12715	370	33	and	and	CCONJ
ajst-12715	370	34	information	information	NOUN
ajst-12715	370	35	entropy	entropy	PROPN
ajst-12715	370	36	,	,	PUNCT
ajst-12715	370	37	2014	2014	NUM
ajst-12715	370	38	international	international	ADJ
ajst-12715	370	39	conference	conference	NOUN
ajst-12715	370	40	on	on	ADP
ajst-12715	370	41	machine	machine	NOUN
ajst-12715	370	42	learning	learning	NOUN
ajst-12715	370	43	and	and	CCONJ
ajst-12715	370	44	cybernetics	cybernetic	NOUN
ajst-12715	370	45	,	,	PUNCT
ajst-12715	370	46	ieee	ieee	NOUN
ajst-12715	370	47	:	:	PUNCT
ajst-12715	370	48	2014	2014	NUM
ajst-12715	370	49	;	;	PUNCT
ajst-12715	370	50	pp	pp	ADV
ajst-12715	370	51	838	838	NUM
ajst-12715	370	52	-	-	PUNCT
ajst-12715	370	53	843	843	NUM
ajst-12715	370	54	.	.	PUNCT
ajst-12715	371	1	[	[	X
ajst-12715	371	2	19	19	NUM
ajst-12715	371	3	]	]	SYM
ajst-12715	371	4	yang	yang	PROPN
ajst-12715	371	5	,	,	PUNCT
ajst-12715	371	6	t.	t.	PROPN
ajst-12715	371	7	;	;	PUNCT
ajst-12715	371	8	jiang	jiang	PROPN
ajst-12715	371	9	,	,	PUNCT
ajst-12715	371	10	d.	d.	PROPN
ajst-12715	371	11	;	;	PUNCT
ajst-12715	371	12	shi	shi	PROPN
ajst-12715	371	13	,	,	PUNCT
ajst-12715	371	14	s.	s.	PROPN
ajst-12715	371	15	;	;	PUNCT
ajst-12715	371	16	zhan	zhan	PROPN
ajst-12715	371	17	,	,	PUNCT
ajst-12715	371	18	s.	s.	PROPN
ajst-12715	371	19	;	;	PUNCT
ajst-12715	371	20	zhuo	zhuo	PROPN
ajst-12715	371	21	,	,	PUNCT
ajst-12715	371	22	l.	l.	PROPN
ajst-12715	371	23	;	;	PUNCT
ajst-12715	371	24	yin	yin	PROPN
ajst-12715	371	25	,	,	PUNCT
ajst-12715	371	26	y.	y.	PROPN
ajst-12715	371	27	;	;	PUNCT
ajst-12715	371	28	liang	liang	PROPN
ajst-12715	371	29	,	,	PUNCT
ajst-12715	371	30	z.	z.	PROPN
ajst-12715	371	31	in	in	ADP
ajst-12715	371	32	chinese	chinese	ADJ
ajst-12715	371	33	data	data	NOUN
ajst-12715	371	34	extraction	extraction	NOUN
ajst-12715	371	35	and	and	CCONJ
ajst-12715	371	36	named	name	VERB
ajst-12715	371	37	entity	entity	NOUN
ajst-12715	371	38	recognition	recognition	NOUN
ajst-12715	371	39	,	,	PUNCT
ajst-12715	371	40	2020	2020	NUM
ajst-12715	371	41	5th	5th	ADJ
ajst-12715	371	42	ieee	ieee	NOUN
ajst-12715	371	43	international	international	ADJ
ajst-12715	371	44	conference	conference	NOUN
ajst-12715	371	45	on	on	ADP
ajst-12715	371	46	big	big	ADJ
ajst-12715	371	47	data	datum	NOUN
ajst-12715	371	48	analytics	analytic	NOUN
ajst-12715	371	49	(	(	PUNCT
ajst-12715	371	50	icbda	icbda	NOUN
ajst-12715	371	51	)	)	PUNCT
ajst-12715	371	52	,	,	PUNCT
ajst-12715	371	53	ieee	ieee	NOUN
ajst-12715	371	54	:	:	PUNCT
ajst-12715	371	55	2020	2020	NUM
ajst-12715	371	56	;	;	PUNCT
ajst-12715	371	57	pp	pp	PROPN
ajst-12715	371	58	105	105	NUM
ajst-12715	371	59	-	-	SYM
ajst-12715	371	60	109	109	NUM
ajst-12715	371	61	.	.	PUNCT
ajst-12715	372	1	[	[	X
ajst-12715	372	2	20	20	NUM
ajst-12715	372	3	]	]	X
ajst-12715	372	4	strubell	strubell	PROPN
ajst-12715	372	5	,	,	PUNCT
ajst-12715	372	6	e.	e.	PROPN
ajst-12715	372	7	;	;	PUNCT
ajst-12715	372	8	verga	verga	NOUN
ajst-12715	372	9	,	,	PUNCT
ajst-12715	372	10	p.	p.	NOUN
ajst-12715	372	11	;	;	PUNCT
ajst-12715	372	12	belanger	belanger	PROPN
ajst-12715	372	13	,	,	PUNCT
ajst-12715	372	14	d.	d.	PROPN
ajst-12715	372	15	;	;	PUNCT
ajst-12715	372	16	mccallum	mccallum	PROPN
ajst-12715	372	17	,	,	PUNCT
ajst-12715	372	18	a.	a.	NOUN
ajst-12715	372	19	,	,	PUNCT
ajst-12715	372	20	fast	fast	ADJ
ajst-12715	372	21	and	and	CCONJ
ajst-12715	372	22	accurate	accurate	ADJ
ajst-12715	372	23	entity	entity	NOUN
ajst-12715	372	24	recognition	recognition	NOUN
ajst-12715	372	25	with	with	ADP
ajst-12715	372	26	iterated	iterated	ADJ
ajst-12715	372	27	dilated	dilated	ADJ
ajst-12715	372	28	convolutions	convolution	NOUN
ajst-12715	372	29	.	.	PUNCT
ajst-12715	373	1	arxiv	arxiv	PROPN
ajst-12715	373	2	preprint	preprint	VERB
ajst-12715	373	3	arxiv:1702.02098	arxiv:1702.02098	PROPN
ajst-12715	373	4	2017	2017	NUM
ajst-12715	373	5	.	.	PUNCT
ajst-12715	374	1	[	[	X
ajst-12715	374	2	21	21	NUM
ajst-12715	374	3	]	]	X
ajst-12715	374	4	chang	chang	PROPN
ajst-12715	374	5	,	,	PUNCT
ajst-12715	374	6	y.	y.	PROPN
ajst-12715	374	7	;	;	PUNCT
ajst-12715	374	8	kong	kong	PROPN
ajst-12715	374	9	,	,	PUNCT
ajst-12715	374	10	l.	l.	PROPN
ajst-12715	374	11	;	;	PUNCT
ajst-12715	374	12	jia	jia	PROPN
ajst-12715	374	13	,	,	PUNCT
ajst-12715	374	14	k.	k.	PROPN
ajst-12715	374	15	;	;	PUNCT
ajst-12715	374	16	meng	meng	PROPN
ajst-12715	374	17	,	,	PUNCT
ajst-12715	374	18	q.	q.	PROPN
ajst-12715	374	19	in	in	ADP
ajst-12715	374	20	chinese	chinese	PROPN
ajst-12715	374	21	named	name	VERB
ajst-12715	374	22	entity	entity	NOUN
ajst-12715	374	23	recognition	recognition	NOUN
ajst-12715	374	24	method	method	NOUN
ajst-12715	374	25	based	base	VERB
ajst-12715	374	26	on	on	ADP
ajst-12715	374	27	bert	bert	PROPN
ajst-12715	374	28	,	,	PUNCT
ajst-12715	374	29	2021	2021	NUM
ajst-12715	374	30	ieee	ieee	PROPN
ajst-12715	374	31	international	international	ADJ
ajst-12715	374	32	conference	conference	NOUN
ajst-12715	374	33	on	on	ADP
ajst-12715	374	34	data	datum	NOUN
ajst-12715	374	35	science	science	NOUN
ajst-12715	374	36	and	and	CCONJ
ajst-12715	374	37	computer	computer	NOUN
ajst-12715	374	38	application	application	NOUN
ajst-12715	374	39	(	(	PUNCT
ajst-12715	374	40	icdsca	icdsca	PROPN
ajst-12715	374	41	)	)	PUNCT
ajst-12715	374	42	,	,	PUNCT
ajst-12715	374	43	ieee	ieee	NOUN
ajst-12715	374	44	:	:	PUNCT
ajst-12715	374	45	2021	2021	NUM
ajst-12715	374	46	;	;	PUNCT
ajst-12715	374	47	pp	pp	ADP
ajst-12715	374	48	294	294	NUM
ajst-12715	374	49	-	-	SYM
ajst-12715	374	50	299	299	NUM
ajst-12715	374	51	.	.	PUNCT
ajst-12715	375	1	[	[	X
ajst-12715	375	2	22	22	NUM
ajst-12715	375	3	]	]	SYM
ajst-12715	375	4	li	li	PROPN
ajst-12715	375	5	,	,	PUNCT
ajst-12715	375	6	z.	z.	PROPN
ajst-12715	375	7	;	;	PUNCT
ajst-12715	375	8	yun	yun	PROPN
ajst-12715	375	9	,	,	PUNCT
ajst-12715	375	10	h.	h.	PROPN
ajst-12715	375	11	;	;	PUNCT
ajst-12715	375	12	guo	guo	PROPN
ajst-12715	375	13	,	,	PUNCT
ajst-12715	375	14	z.	z.	PROPN
ajst-12715	375	15	;	;	PUNCT
ajst-12715	375	16	qi	qi	PROPN
ajst-12715	375	17	,	,	PUNCT
ajst-12715	375	18	j.	j.	PROPN
ajst-12715	375	19	in	in	ADP
ajst-12715	375	20	medical	medical	ADJ
ajst-12715	375	21	named	name	VERB
ajst-12715	375	22	entity	entity	NOUN
ajst-12715	375	23	recognition	recognition	NOUN
ajst-12715	375	24	based	base	VERB
ajst-12715	375	25	on	on	ADP
ajst-12715	375	26	multi	multi	ADJ
ajst-12715	375	27	feature	feature	NOUN
ajst-12715	375	28	fusion	fusion	NOUN
ajst-12715	375	29	of	of	ADP
ajst-12715	375	30	bert	bert	NOUN
ajst-12715	375	31	,	,	PUNCT
ajst-12715	375	32	proceedings	proceeding	NOUN
ajst-12715	375	33	of	of	ADP
ajst-12715	375	34	the	the	DET
ajst-12715	375	35	4th	4th	ADJ
ajst-12715	375	36	international	international	ADJ
ajst-12715	375	37	conference	conference	NOUN
ajst-12715	375	38	on	on	ADP
ajst-12715	375	39	big	big	ADJ
ajst-12715	375	40	data	datum	NOUN
ajst-12715	375	41	technologies	technology	NOUN
ajst-12715	375	42	,	,	PUNCT
ajst-12715	375	43	2021	2021	NUM
ajst-12715	375	44	;	;	PUNCT
ajst-12715	375	45	pp	pp	ADP
ajst-12715	375	46	86	86	NUM
ajst-12715	375	47	-	-	SYM
ajst-12715	375	48	91	91	NUM
ajst-12715	375	49	.	.	PUNCT
ajst-12715	376	1	[	[	X
ajst-12715	376	2	23	23	NUM
ajst-12715	376	3	]	]	X
ajst-12715	376	4	zhang	zhang	PROPN
ajst-12715	376	5	,	,	PUNCT
ajst-12715	376	6	y.	y.	PROPN
ajst-12715	376	7	;	;	PUNCT
ajst-12715	376	8	wang	wang	PROPN
ajst-12715	376	9	,	,	PUNCT
ajst-12715	376	10	s.	s.	PROPN
ajst-12715	376	11	;	;	PUNCT
ajst-12715	376	12	he	he	PRON
ajst-12715	376	13	,	,	PUNCT
ajst-12715	376	14	b.	b.	PROPN
ajst-12715	376	15	;	;	PUNCT
ajst-12715	376	16	ye	ye	PROPN
ajst-12715	376	17	,	,	PUNCT
ajst-12715	376	18	p.	p.	NOUN
ajst-12715	376	19	;	;	PUNCT
ajst-12715	376	20	li	li	PROPN
ajst-12715	376	21	,	,	PUNCT
ajst-12715	376	22	k.	k.	PROPN
ajst-12715	376	23	,	,	PUNCT
ajst-12715	376	24	named	name	VERB
ajst-12715	376	25	entity	entity	NOUN
ajst-12715	376	26	recognition	recognition	NOUN
ajst-12715	376	27	method	method	NOUN
ajst-12715	376	28	of	of	ADP
ajst-12715	376	29	elementary	elementary	ADJ
ajst-12715	376	30	mathematical	mathematical	ADJ
ajst-12715	376	31	text	text	NOUN
ajst-12715	376	32	based	base	VERB
ajst-12715	376	33	on	on	ADP
ajst-12715	376	34	bert	bert	PROPN
ajst-12715	376	35	.	.	PUNCT
ajst-12715	377	1	journal	journal	PROPN
ajst-12715	377	2	of	of	ADP
ajst-12715	377	3	computer	computer	NOUN
ajst-12715	377	4	applications	application	NOUN
ajst-12715	377	5	2022	2022	NUM
ajst-12715	377	6	,	,	PUNCT
ajst-12715	377	7	42	42	NUM
ajst-12715	377	8	(	(	PUNCT
ajst-12715	377	9	2	2	NUM
ajst-12715	377	10	)	)	PUNCT
ajst-12715	377	11	,	,	PUNCT
ajst-12715	377	12	433	433	NUM
ajst-12715	377	13	.	.	PUNCT
ajst-12715	378	1	[	[	X
ajst-12715	378	2	24	24	NUM
ajst-12715	378	3	]	]	PUNCT
ajst-12715	378	4	devlin	devlin	PROPN
ajst-12715	378	5	,	,	PUNCT
ajst-12715	378	6	j.	j.	PROPN
ajst-12715	378	7	;	;	PUNCT
ajst-12715	378	8	chang	chang	PROPN
ajst-12715	378	9	,	,	PUNCT
ajst-12715	378	10	m.-w	m.-w	PROPN
ajst-12715	378	11	.	.	PUNCT
ajst-12715	378	12	;	;	PUNCT
ajst-12715	378	13	lee	lee	PROPN
ajst-12715	378	14	,	,	PUNCT
ajst-12715	378	15	k.	k.	PROPN
ajst-12715	378	16	;	;	PUNCT
ajst-12715	378	17	toutanova	toutanova	PROPN
ajst-12715	378	18	,	,	PUNCT
ajst-12715	378	19	k.	k.	PROPN
ajst-12715	378	20	,	,	PUNCT
ajst-12715	378	21	bert	bert	PROPN
ajst-12715	378	22	:	:	PUNCT
ajst-12715	378	23	pretraining	pretraine	VERB
ajst-12715	378	24	of	of	ADP
ajst-12715	378	25	deep	deep	ADJ
ajst-12715	378	26	bidirectional	bidirectional	ADJ
ajst-12715	378	27	transformers	transformer	NOUN
ajst-12715	378	28	for	for	ADP
ajst-12715	378	29	language	language	NOUN
ajst-12715	378	30	understanding	understanding	NOUN
ajst-12715	378	31	.	.	PUNCT
ajst-12715	379	1	arxiv	arxiv	PROPN
ajst-12715	379	2	preprint	preprint	VERB
ajst-12715	379	3	arxiv:1810.04805	arxiv:1810.04805	PROPN
ajst-12715	379	4	2018	2018	NUM
ajst-12715	379	5	.	.	PUNCT
ajst-12715	380	1	[	[	X
ajst-12715	380	2	25	25	NUM
ajst-12715	380	3	]	]	X
ajst-12715	380	4	mikolov	mikolov	NOUN
ajst-12715	380	5	,	,	PUNCT
ajst-12715	380	6	t.	t.	PROPN
ajst-12715	380	7	;	;	PUNCT
ajst-12715	380	8	chen	chen	PROPN
ajst-12715	380	9	,	,	PUNCT
ajst-12715	380	10	k.	k.	PROPN
ajst-12715	380	11	;	;	PUNCT
ajst-12715	380	12	corrado	corrado	PROPN
ajst-12715	380	13	,	,	PUNCT
ajst-12715	380	14	g.	g.	PROPN
ajst-12715	380	15	;	;	PUNCT
ajst-12715	380	16	dean	dean	PROPN
ajst-12715	380	17	,	,	PUNCT
ajst-12715	380	18	j.	j.	PROPN
ajst-12715	380	19	,	,	PUNCT
ajst-12715	380	20	efficient	efficient	ADJ
ajst-12715	380	21	estimation	estimation	NOUN
ajst-12715	380	22	of	of	ADP
ajst-12715	380	23	word	word	NOUN
ajst-12715	380	24	representations	representation	NOUN
ajst-12715	380	25	in	in	ADP
ajst-12715	380	26	vector	vector	NOUN
ajst-12715	380	27	space	space	NOUN
ajst-12715	380	28	.	.	PUNCT
ajst-12715	381	1	arxiv	arxiv	PROPN
ajst-12715	381	2	preprint	preprint	VERB
ajst-12715	381	3	arxiv:1301.3781	arxiv:1301.3781	NUM
ajst-12715	381	4	2013	2013	NUM
ajst-12715	381	5	.	.	PUNCT
ajst-12715	382	1	[	[	X
ajst-12715	382	2	26	26	NUM
ajst-12715	382	3	]	]	X
ajst-12715	382	4	pennington	pennington	PROPN
ajst-12715	382	5	,	,	PUNCT
ajst-12715	382	6	j.	j.	PROPN
ajst-12715	382	7	;	;	PUNCT
ajst-12715	382	8	socher	socher	PROPN
ajst-12715	382	9	,	,	PUNCT
ajst-12715	382	10	r.	r.	PROPN
ajst-12715	382	11	;	;	PUNCT
ajst-12715	382	12	manning	man	VERB
ajst-12715	382	13	,	,	PUNCT
ajst-12715	382	14	c.	c.	PROPN
ajst-12715	382	15	d.	d.	PROPN
ajst-12715	382	16	in	in	ADP
ajst-12715	382	17	glove	glove	NOUN
ajst-12715	382	18	:	:	PUNCT
ajst-12715	382	19	global	global	ADJ
ajst-12715	382	20	vectors	vector	NOUN
ajst-12715	382	21	for	for	ADP
ajst-12715	382	22	word	word	NOUN
ajst-12715	382	23	representation	representation	NOUN
ajst-12715	382	24	,	,	PUNCT
ajst-12715	382	25	proceedings	proceeding	NOUN
ajst-12715	382	26	of	of	ADP
ajst-12715	382	27	the	the	DET
ajst-12715	382	28	2014	2014	NUM
ajst-12715	382	29	conference	conference	NOUN
ajst-12715	382	30	on	on	ADP
ajst-12715	382	31	empirical	empirical	ADJ
ajst-12715	382	32	methods	method	NOUN
ajst-12715	382	33	in	in	ADP
ajst-12715	382	34	natural	natural	ADJ
ajst-12715	382	35	language	language	NOUN
ajst-12715	382	36	processing	processing	NOUN
ajst-12715	382	37	(	(	PUNCT
ajst-12715	382	38	emnlp	emnlp	ADJ
ajst-12715	382	39	)	)	PUNCT
ajst-12715	382	40	,	,	PUNCT
ajst-12715	382	41	2014	2014	NUM
ajst-12715	382	42	;	;	PUNCT
ajst-12715	382	43	pp	pp	ADP
ajst-12715	382	44	1532	1532	NUM
ajst-12715	382	45	-	-	SYM
ajst-12715	382	46	1543	1543	NUM
ajst-12715	382	47	.	.	PUNCT
ajst-12715	383	1	[	[	X
ajst-12715	383	2	27	27	NUM
ajst-12715	383	3	]	]	ADJ
ajst-12715	383	4	sarzynska	sarzynska	NOUN
ajst-12715	383	5	-	-	PUNCT
ajst-12715	383	6	wawer	wawer	NOUN
ajst-12715	383	7	,	,	PUNCT
ajst-12715	383	8	j.	j.	PROPN
ajst-12715	383	9	;	;	PUNCT
ajst-12715	383	10	wawer	wawer	NOUN
ajst-12715	383	11	,	,	PUNCT
ajst-12715	383	12	a.	a.	NOUN
ajst-12715	383	13	;	;	PUNCT
ajst-12715	383	14	pawlak	pawlak	ADJ
ajst-12715	383	15	,	,	PUNCT
ajst-12715	383	16	a.	a.	NOUN
ajst-12715	383	17	;	;	PUNCT
ajst-12715	383	18	szymanowska	szymanowska	PROPN
ajst-12715	383	19	,	,	PUNCT
ajst-12715	383	20	j.	j.	PROPN
ajst-12715	383	21	;	;	PUNCT
ajst-12715	383	22	stefaniak	stefaniak	PROPN
ajst-12715	383	23	,	,	PUNCT
ajst-12715	383	24	i.	i.	PROPN
ajst-12715	383	25	;	;	PUNCT
ajst-12715	383	26	jarkiewicz	jarkiewicz	PROPN
ajst-12715	383	27	,	,	PUNCT
ajst-12715	383	28	m.	m.	NOUN
ajst-12715	383	29	;	;	PUNCT
ajst-12715	383	30	okruszek	okruszek	PROPN
ajst-12715	383	31	,	,	PUNCT
ajst-12715	383	32	l.	l.	PROPN
ajst-12715	383	33	,	,	PUNCT
ajst-12715	383	34	detecting	detect	VERB
ajst-12715	383	35	formal	formal	ADJ
ajst-12715	383	36	thought	thought	NOUN
ajst-12715	383	37	disorder	disorder	NOUN
ajst-12715	383	38	by	by	ADP
ajst-12715	383	39	deep	deep	ADJ
ajst-12715	383	40	contextualized	contextualized	ADJ
ajst-12715	383	41	word	word	NOUN
ajst-12715	383	42	representations	representation	NOUN
ajst-12715	383	43	.	.	PUNCT
ajst-12715	384	1	psychiatry	psychiatry	NOUN
ajst-12715	384	2	research	research	PROPN
ajst-12715	384	3	2021	2021	NUM
ajst-12715	384	4	,	,	PUNCT
ajst-12715	384	5	304	304	NUM
ajst-12715	384	6	,	,	PUNCT
ajst-12715	384	7	114135	114135	NUM
ajst-12715	384	8	.	.	PUNCT
ajst-12715	385	1	[	[	X
ajst-12715	385	2	28	28	NUM
ajst-12715	385	3	]	]	X
ajst-12715	385	4	radford	radford	PROPN
ajst-12715	385	5	,	,	PUNCT
ajst-12715	385	6	a.	a.	PROPN
ajst-12715	385	7	;	;	PUNCT
ajst-12715	385	8	narasimhan	narasimhan	PROPN
ajst-12715	385	9	,	,	PUNCT
ajst-12715	385	10	k.	k.	PROPN
ajst-12715	385	11	;	;	PUNCT
ajst-12715	385	12	salimans	saliman	NOUN
ajst-12715	385	13	,	,	PUNCT
ajst-12715	385	14	t.	t.	PROPN
ajst-12715	385	15	;	;	PUNCT
ajst-12715	385	16	sutskever	sutskever	PROPN
ajst-12715	385	17	,	,	PUNCT
ajst-12715	385	18	i.	i.	PROPN
ajst-12715	385	19	,	,	PUNCT
ajst-12715	385	20	improving	improve	VERB
ajst-12715	385	21	language	language	NOUN
ajst-12715	385	22	understanding	understanding	NOUN
ajst-12715	385	23	by	by	ADP
ajst-12715	385	24	generative	generative	ADJ
ajst-12715	385	25	pre	pre	NOUN
ajst-12715	385	26	-	-	NOUN
ajst-12715	385	27	training	training	NOUN
ajst-12715	385	28	.	.	PUNCT
ajst-12715	386	1	2018	2018	NUM
ajst-12715	386	2	.	.	PUNCT
ajst-12715	387	1	[	[	X
ajst-12715	387	2	29	29	NUM
ajst-12715	387	3	]	]	X
ajst-12715	387	4	vaswani	vaswani	NOUN
ajst-12715	387	5	,	,	PUNCT
ajst-12715	387	6	a.	a.	NOUN
ajst-12715	387	7	;	;	PUNCT
ajst-12715	387	8	shazeer	shazeer	NOUN
ajst-12715	387	9	,	,	PUNCT
ajst-12715	387	10	n.	n.	NOUN
ajst-12715	387	11	;	;	PUNCT
ajst-12715	387	12	parmar	parmar	PROPN
ajst-12715	387	13	,	,	PUNCT
ajst-12715	387	14	n.	n.	NOUN
ajst-12715	387	15	;	;	PUNCT
ajst-12715	387	16	uszkoreit	uszkoreit	PROPN
ajst-12715	387	17	,	,	PUNCT
ajst-12715	387	18	j.	j.	PROPN
ajst-12715	387	19	;	;	PUNCT
ajst-12715	387	20	jones	jones	PROPN
ajst-12715	387	21	,	,	PUNCT
ajst-12715	387	22	l.	l.	PROPN
ajst-12715	387	23	;	;	PUNCT
ajst-12715	387	24	gomez	gomez	PROPN
ajst-12715	387	25	,	,	PUNCT
ajst-12715	387	26	a.	a.	NOUN
ajst-12715	387	27	n.	n.	PROPN
ajst-12715	387	28	;	;	PUNCT
ajst-12715	387	29	kaiser	kaiser	PROPN
ajst-12715	387	30	,	,	PUNCT
ajst-12715	387	31	ł	ł	PROPN
ajst-12715	387	32	.	.	PROPN
ajst-12715	387	33	;	;	PUNCT
ajst-12715	387	34	polosukhin	polosukhin	PROPN
ajst-12715	387	35	,	,	PUNCT
ajst-12715	387	36	i.	i.	NOUN
ajst-12715	387	37	,	,	PUNCT
ajst-12715	387	38	attention	attention	NOUN
ajst-12715	387	39	is	be	AUX
ajst-12715	387	40	all	all	PRON
ajst-12715	387	41	you	you	PRON
ajst-12715	387	42	need	need	VERB
ajst-12715	387	43	.	.	PUNCT
ajst-12715	388	1	advances	advance	NOUN
ajst-12715	388	2	in	in	ADP
ajst-12715	388	3	neural	neural	ADJ
ajst-12715	388	4	information	information	NOUN
ajst-12715	388	5	processing	processing	NOUN
ajst-12715	388	6	systems	system	NOUN
ajst-12715	388	7	2017	2017	NUM
ajst-12715	388	8	,	,	PUNCT
ajst-12715	388	9	30	30	NUM
ajst-12715	388	10	.	.	PUNCT
ajst-12715	389	1	[	[	X
ajst-12715	389	2	30	30	NUM
ajst-12715	389	3	]	]	AUX
ajst-12715	389	4	sang	sing	VERB
ajst-12715	389	5	,	,	PUNCT
ajst-12715	389	6	e.	e.	PROPN
ajst-12715	389	7	f.	f.	PROPN
ajst-12715	389	8	;	;	PUNCT
ajst-12715	389	9	veenstra	veenstra	PROPN
ajst-12715	389	10	,	,	PUNCT
ajst-12715	389	11	j.	j.	PROPN
ajst-12715	389	12	,	,	PUNCT
ajst-12715	389	13	representing	represent	VERB
ajst-12715	389	14	text	text	NOUN
ajst-12715	389	15	chunks	chunk	NOUN
ajst-12715	389	16	.	.	PUNCT
ajst-12715	390	1	arxiv	arxiv	PROPN
ajst-12715	390	2	preprint	preprint	NOUN
ajst-12715	390	3	cs/9907006	cs/9907006	PROPN
ajst-12715	390	4	1999	1999	NUM
ajst-12715	390	5	.	.	PUNCT
ajst-12715	391	1	[	[	X
ajst-12715	391	2	31	31	NUM
ajst-12715	391	3	]	]	X
ajst-12715	391	4	peng	peng	PROPN
ajst-12715	391	5	,	,	PUNCT
ajst-12715	391	6	n.	n.	PROPN
ajst-12715	391	7	;	;	PUNCT
ajst-12715	391	8	dredze	dredze	NOUN
ajst-12715	391	9	,	,	PUNCT
ajst-12715	391	10	m.	m.	NOUN
ajst-12715	391	11	in	in	ADP
ajst-12715	391	12	named	name	VERB
ajst-12715	391	13	entity	entity	NOUN
ajst-12715	391	14	recognition	recognition	NOUN
ajst-12715	391	15	for	for	ADP
ajst-12715	391	16	chinese	chinese	ADJ
ajst-12715	391	17	social	social	ADJ
ajst-12715	391	18	media	medium	NOUN
ajst-12715	391	19	with	with	ADP
ajst-12715	391	20	jointly	jointly	ADV
ajst-12715	391	21	trained	train	VERB
ajst-12715	391	22	embeddings	embedding	NOUN
ajst-12715	391	23	,	,	PUNCT
ajst-12715	391	24	proceedings	proceeding	NOUN
ajst-12715	391	25	of	of	ADP
ajst-12715	391	26	the	the	DET
ajst-12715	391	27	2015	2015	NUM
ajst-12715	391	28	conference	conference	NOUN
ajst-12715	391	29	on	on	ADP
ajst-12715	391	30	empirical	empirical	ADJ
ajst-12715	391	31	methods	method	NOUN
ajst-12715	391	32	in	in	ADP
ajst-12715	391	33	natural	natural	ADJ
ajst-12715	391	34	language	language	NOUN
ajst-12715	391	35	processing	processing	NOUN
ajst-12715	391	36	,	,	PUNCT
ajst-12715	391	37	2015	2015	NUM
ajst-12715	391	38	;	;	PUNCT
ajst-12715	391	39	pp	pp	ADP
ajst-12715	391	40	548	548	NUM
ajst-12715	391	41	-	-	SYM
ajst-12715	391	42	554	554	NUM
ajst-12715	391	43	.	.	PUNCT
ajst-12715	392	1	[	[	X
ajst-12715	392	2	32	32	NUM
ajst-12715	392	3	]	]	X
ajst-12715	392	4	peng	peng	PROPN
ajst-12715	392	5	,	,	PUNCT
ajst-12715	392	6	n.	n.	PROPN
ajst-12715	392	7	;	;	PUNCT
ajst-12715	392	8	dredze	dredze	NOUN
ajst-12715	392	9	,	,	PUNCT
ajst-12715	392	10	m.	m.	NOUN
ajst-12715	392	11	,	,	PUNCT
ajst-12715	392	12	improving	improve	VERB
ajst-12715	392	13	named	name	VERB
ajst-12715	392	14	entity	entity	NOUN
ajst-12715	392	15	recognition	recognition	NOUN
ajst-12715	392	16	for	for	ADP
ajst-12715	392	17	chinese	chinese	ADJ
ajst-12715	392	18	social	social	ADJ
ajst-12715	392	19	media	medium	NOUN
ajst-12715	392	20	with	with	ADP
ajst-12715	392	21	word	word	NOUN
ajst-12715	392	22	segmentation	segmentation	NOUN
ajst-12715	392	23	representation	representation	NOUN
ajst-12715	392	24	learning	learning	NOUN
ajst-12715	392	25	.	.	PUNCT
ajst-12715	393	1	arxiv	arxiv	PROPN
ajst-12715	393	2	preprint	preprint	NOUN
ajst-12715	393	3	arxiv:1603.00786	arxiv:1603.00786	NOUN
ajst-12715	393	4	2016	2016	NUM
ajst-12715	393	5	.	.	PUNCT
ajst-12715	394	1	[	[	X
ajst-12715	394	2	33	33	NUM
ajst-12715	394	3	]	]	SYM
ajst-12715	394	4	levow	levow	PROPN
ajst-12715	394	5	,	,	PUNCT
ajst-12715	394	6	g.-a	g.-a	NOUN
ajst-12715	394	7	.	.	PUNCT
ajst-12715	395	1	in	in	ADP
ajst-12715	395	2	the	the	DET
ajst-12715	395	3	third	third	ADJ
ajst-12715	395	4	international	international	ADJ
ajst-12715	395	5	chinese	chinese	ADJ
ajst-12715	395	6	language	language	NOUN
ajst-12715	395	7	processing	processing	NOUN
ajst-12715	395	8	bakeoff	bakeoff	NOUN
ajst-12715	395	9	:	:	PUNCT
ajst-12715	395	10	word	word	NOUN
ajst-12715	395	11	segmentation	segmentation	NOUN
ajst-12715	395	12	and	and	CCONJ
ajst-12715	395	13	named	name	VERB
ajst-12715	395	14	entity	entity	NOUN
ajst-12715	395	15	recognition	recognition	NOUN
ajst-12715	395	16	,	,	PUNCT
ajst-12715	395	17	proceedings	proceeding	NOUN
ajst-12715	395	18	of	of	ADP
ajst-12715	395	19	the	the	DET
ajst-12715	395	20	fifth	fifth	ADJ
ajst-12715	395	21	sighan	sighan	ADJ
ajst-12715	395	22	workshop	workshop	NOUN
ajst-12715	395	23	on	on	ADP
ajst-12715	395	24	chinese	chinese	ADJ
ajst-12715	395	25	language	language	NOUN
ajst-12715	395	26	processing	processing	NOUN
ajst-12715	395	27	,	,	PUNCT
ajst-12715	395	28	2006	2006	NUM
ajst-12715	395	29	;	;	PUNCT
ajst-12715	395	30	pp	pp	ADP
ajst-12715	395	31	108	108	NUM
ajst-12715	395	32	-	-	SYM
ajst-12715	395	33	117	117	NUM
ajst-12715	395	34	.	.	PUNCT
ajst-12715	395	35	49	49	NUM
ajst-12715	396	1	[	[	SYM
ajst-12715	396	2	34	34	NUM
ajst-12715	396	3	]	]	SYM
ajst-12715	396	4	su	su	PROPN
ajst-12715	396	5	,	,	PUNCT
ajst-12715	396	6	j.	j.	PROPN
ajst-12715	396	7	;	;	PUNCT
ajst-12715	396	8	murtadha	murtadha	PROPN
ajst-12715	396	9	,	,	PUNCT
ajst-12715	396	10	a.	a.	NOUN
ajst-12715	396	11	;	;	PUNCT
ajst-12715	396	12	pan	pan	PROPN
ajst-12715	396	13	,	,	PUNCT
ajst-12715	396	14	s.	s.	PROPN
ajst-12715	396	15	;	;	PUNCT
ajst-12715	396	16	hou	hou	PROPN
ajst-12715	396	17	,	,	PUNCT
ajst-12715	396	18	j.	j.	PROPN
ajst-12715	396	19	;	;	PUNCT
ajst-12715	396	20	sun	sun	PROPN
ajst-12715	396	21	,	,	PUNCT
ajst-12715	396	22	j.	j.	PROPN
ajst-12715	396	23	;	;	PUNCT
ajst-12715	396	24	huang	huang	PROPN
ajst-12715	396	25	,	,	PUNCT
ajst-12715	396	26	w.	w.	PROPN
ajst-12715	396	27	;	;	PUNCT
ajst-12715	396	28	wen	wen	PROPN
ajst-12715	396	29	,	,	PUNCT
ajst-12715	396	30	b.	b.	PROPN
ajst-12715	396	31	;	;	PUNCT
ajst-12715	397	1	liu	liu	PROPN
ajst-12715	397	2	,	,	PUNCT
ajst-12715	397	3	y.	y.	PROPN
ajst-12715	397	4	,	,	PUNCT
ajst-12715	397	5	global	global	ADJ
ajst-12715	397	6	pointer	pointer	NOUN
ajst-12715	397	7	:	:	PUNCT
ajst-12715	397	8	novel	novel	ADJ
ajst-12715	397	9	efficient	efficient	ADJ
ajst-12715	397	10	spanbased	spanbased	ADJ
ajst-12715	397	11	approach	approach	NOUN
ajst-12715	397	12	for	for	ADP
ajst-12715	397	13	named	name	VERB
ajst-12715	397	14	entity	entity	NOUN
ajst-12715	397	15	recognition	recognition	NOUN
ajst-12715	397	16	.	.	PUNCT
ajst-12715	398	1	arxiv	arxiv	PROPN
ajst-12715	398	2	preprint	preprint	VERB
ajst-12715	398	3	arxiv:2208.03054	arxiv:2208.03054	NOUN
ajst-12715	398	4	2022	2022	NUM
ajst-12715	398	5	.	.	PUNCT
ajst-12715	399	1	[	[	X
ajst-12715	399	2	35	35	NUM
ajst-12715	399	3	]	]	X
ajst-12715	399	4	lu	lu	PROPN
ajst-12715	399	5	,	,	PUNCT
ajst-12715	399	6	y.	y.	PROPN
ajst-12715	399	7	;	;	PUNCT
ajst-12715	399	8	liu	liu	PROPN
ajst-12715	399	9	,	,	PUNCT
ajst-12715	399	10	q.	q.	PROPN
ajst-12715	399	11	;	;	PUNCT
ajst-12715	399	12	dai	dai	PROPN
ajst-12715	399	13	,	,	PUNCT
ajst-12715	399	14	d.	d.	PROPN
ajst-12715	399	15	;	;	PUNCT
ajst-12715	399	16	xiao	xiao	PROPN
ajst-12715	399	17	,	,	PUNCT
ajst-12715	399	18	x.	x.	PROPN
ajst-12715	399	19	;	;	PUNCT
ajst-12715	399	20	lin	lin	PROPN
ajst-12715	399	21	,	,	PUNCT
ajst-12715	399	22	h.	h.	PROPN
ajst-12715	399	23	;	;	PUNCT
ajst-12715	399	24	han	han	PROPN
ajst-12715	399	25	,	,	PUNCT
ajst-12715	399	26	x.	x.	PROPN
ajst-12715	399	27	;	;	PUNCT
ajst-12715	399	28	sun	sun	PROPN
ajst-12715	399	29	,	,	PUNCT
ajst-12715	399	30	l.	l.	PROPN
ajst-12715	399	31	;	;	PUNCT
ajst-12715	399	32	wu	wu	PROPN
ajst-12715	399	33	,	,	PUNCT
ajst-12715	399	34	h.	h.	PROPN
ajst-12715	399	35	,	,	PUNCT
ajst-12715	399	36	unified	unified	ADJ
ajst-12715	399	37	structure	structure	NOUN
ajst-12715	399	38	generation	generation	NOUN
ajst-12715	399	39	for	for	ADP
ajst-12715	399	40	universal	universal	ADJ
ajst-12715	399	41	information	information	NOUN
ajst-12715	399	42	extraction	extraction	NOUN
ajst-12715	399	43	.	.	PUNCT
ajst-12715	400	1	arxiv	arxiv	PROPN
ajst-12715	400	2	preprint	preprint	VERB
ajst-12715	400	3	arxiv:2203.12277	arxiv:2203.12277	NOUN
ajst-12715	400	4	2022	2022	NUM
ajst-12715	400	5	.	.	PUNCT