id	sid	tid	token	lemma	pos
cana-1011	1	1	communications	communication	NOUN
cana-1011	1	2	on	on	ADP
cana-1011	1	3	applied	apply	VERB
cana-1011	1	4	nonlinear	nonlinear	ADJ
cana-1011	1	5	analysis	analysis	NOUN
cana-1011	1	6	issn	issn	NOUN
cana-1011	1	7	:	:	PUNCT
cana-1011	1	8	1074	1074	NUM
cana-1011	1	9	-	-	PUNCT
cana-1011	1	10	133x	133x	NUM
cana-1011	1	11	vol	vol	NOUN
cana-1011	1	12	31	31	NUM
cana-1011	1	13	no	no	NOUN
cana-1011	1	14	.	.	PUNCT
cana-1011	2	1	5s	5s	NUM
cana-1011	2	2	(	(	PUNCT
cana-1011	2	3	2024	2024	NUM
cana-1011	2	4	)	)	PUNCT
cana-1011	2	5	167	167	NUM
cana-1011	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	2	7	an	an	DET
cana-1011	2	8	improved	improved	ADJ
cana-1011	2	9	information	information	NOUN
cana-1011	2	10	retrieval	retrieval	NOUN
cana-1011	2	11	system	system	NOUN
cana-1011	2	12	using	use	VERB
cana-1011	2	13	hybrid	hybrid	ADJ
cana-1011	2	14	rnn	rnn	NOUN
cana-1011	2	15	lstm	lstm	NOUN
cana-1011	2	16	for	for	ADP
cana-1011	2	17	multiple	multiple	ADJ
cana-1011	2	18	search	search	NOUN
cana-1011	2	19	engines	engine	NOUN
cana-1011	2	20	b.	b.	PROPN
cana-1011	2	21	sangamithra1	sangamithra1	PROPN
cana-1011	2	22	*	*	PROPN
cana-1011	2	23	,	,	PUNCT
cana-1011	2	24	dr	dr	PROPN
cana-1011	2	25	.	.	PROPN
cana-1011	2	26	asha	asha	PROPN
cana-1011	2	27	k.h2	k.h2	PROPN
cana-1011	2	28	,	,	PUNCT
cana-1011	2	29	dr	dr	PROPN
cana-1011	2	30	.	.	PROPN
cana-1011	2	31	m.	m.	PROPN
cana-1011	2	32	sunil	sunil	PROPN
cana-1011	2	33	kumar3	kumar3	PROPN
cana-1011	3	1	1research	1research	NUM
cana-1011	3	2	scholar	scholar	NOUN
cana-1011	3	3	,	,	PUNCT
cana-1011	3	4	dept	dept	NOUN
cana-1011	3	5	of	of	ADP
cana-1011	3	6	computer	computer	NOUN
cana-1011	3	7	science	science	NOUN
cana-1011	3	8	and	and	CCONJ
cana-1011	3	9	engineering	engineering	NOUN
cana-1011	3	10	,	,	PUNCT
cana-1011	3	11	don	don	PROPN
cana-1011	3	12	bosco	bosco	PROPN
cana-1011	3	13	institutue	institutue	PROPN
cana-1011	3	14	of	of	ADP
cana-1011	3	15	technology	technology	NOUN
cana-1011	3	16	,	,	PUNCT
cana-1011	3	17	mysuru	mysuru	NOUN
cana-1011	3	18	-	-	PUNCT
cana-1011	3	19	rode	rode	NOUN
cana-1011	3	20	,	,	PUNCT
cana-1011	3	21	bangaluru-74	bangaluru-74	PROPN
cana-1011	3	22	mithra197@gmail.com	mithra197@gmail.com	X
cana-1011	3	23	2associate	2associate	NUM
cana-1011	3	24	professor	professor	NOUN
cana-1011	3	25	,	,	PUNCT
cana-1011	3	26	dept	dept	NOUN
cana-1011	3	27	of	of	ADP
cana-1011	3	28	computer	computer	NOUN
cana-1011	3	29	science	science	NOUN
cana-1011	3	30	and	and	CCONJ
cana-1011	3	31	engineering	engineering	NOUN
cana-1011	3	32	,	,	PUNCT
cana-1011	3	33	don	don	PROPN
cana-1011	3	34	bosco	bosco	PROPN
cana-1011	3	35	institute	institute	PROPN
cana-1011	3	36	of	of	ADP
cana-1011	3	37	technology	technology	PROPN
cana-1011	3	38	,	,	PUNCT
cana-1011	3	39	mysuru	mysuru	NOUN
cana-1011	3	40	-	-	PUNCT
cana-1011	3	41	rode	rode	NOUN
cana-1011	3	42	,	,	PUNCT
cana-1011	3	43	bangaluru-74	bangaluru-74	PROPN
cana-1011	3	44	asha.kh06@gmail.com	asha.kh06@gmail.com	X
cana-1011	3	45	3professor	3professor	NUM
cana-1011	3	46	&	&	CCONJ
cana-1011	3	47	programme	programme	NOUN
cana-1011	3	48	head	head	NOUN
cana-1011	3	49	,	,	PUNCT
cana-1011	3	50	department	department	NOUN
cana-1011	3	51	of	of	ADP
cana-1011	3	52	computer	computer	NOUN
cana-1011	3	53	science	science	NOUN
cana-1011	3	54	and	and	CCONJ
cana-1011	3	55	engineering	engineering	NOUN
cana-1011	3	56	,	,	PUNCT
cana-1011	3	57	school	school	NOUN
cana-1011	3	58	of	of	ADP
cana-1011	3	59	computing	computing	NOUN
cana-1011	3	60	,	,	PUNCT
cana-1011	3	61	mohan	mohan	PROPN
cana-1011	3	62	babu	babu	PROPN
cana-1011	3	63	university	university	PROPN
cana-1011	3	64	(	(	PUNCT
cana-1011	3	65	erstwhile	erstwhile	VERB
cana-1011	3	66	sree	sree	PROPN
cana-1011	3	67	vidyanikethan	vidyanikethan	PROPN
cana-1011	3	68	engineering	engineering	PROPN
cana-1011	3	69	college	college	PROPN
cana-1011	3	70	)	)	PUNCT
cana-1011	3	71	,	,	PUNCT
cana-1011	3	72	tirupathi	tirupathi	PROPN
cana-1011	3	73	,	,	PUNCT
cana-1011	3	74	ap	ap	PROPN
cana-1011	3	75	,	,	PUNCT
cana-1011	3	76	india	india	PROPN
cana-1011	3	77	sunilmalchi1@gmail.com	sunilmalchi1@gmail.com	PROPN
cana-1011	3	78	article	article	NOUN
cana-1011	3	79	history	history	NOUN
cana-1011	3	80	:	:	PUNCT
cana-1011	3	81	received	receive	VERB
cana-1011	3	82	:	:	PUNCT
cana-1011	3	83	14	14	NUM
cana-1011	3	84	-	-	SYM
cana-1011	3	85	05	05	NUM
cana-1011	3	86	-	-	PUNCT
cana-1011	3	87	2024	2024	NUM
cana-1011	3	88	revised	revise	VERB
cana-1011	3	89	:	:	PUNCT
cana-1011	3	90	22	22	NUM
cana-1011	3	91	-	-	SYM
cana-1011	3	92	06	06	NUM
cana-1011	3	93	-	-	PUNCT
cana-1011	3	94	2024	2024	NUM
cana-1011	3	95	accepted	accept	VERB
cana-1011	3	96	:	:	PUNCT
cana-1011	3	97	04	04	NUM
cana-1011	3	98	-	-	PUNCT
cana-1011	3	99	07	07	NUM
cana-1011	3	100	-	-	PUNCT
cana-1011	3	101	2024	2024	NUM
cana-1011	3	102	abstract	abstract	NOUN
cana-1011	3	103	when	when	SCONJ
cana-1011	3	104	searching	search	VERB
cana-1011	3	105	for	for	ADP
cana-1011	3	106	data	datum	NOUN
cana-1011	3	107	on	on	ADP
cana-1011	3	108	the	the	DET
cana-1011	3	109	internet	internet	NOUN
cana-1011	3	110	,	,	PUNCT
cana-1011	3	111	every	every	DET
cana-1011	3	112	user	user	NOUN
cana-1011	3	113	has	have	VERB
cana-1011	3	114	their	their	PRON
cana-1011	3	115	own	own	ADJ
cana-1011	3	116	personal	personal	ADJ
cana-1011	3	117	context	context	NOUN
cana-1011	3	118	for	for	ADP
cana-1011	3	119	doing	do	VERB
cana-1011	3	120	so	so	ADV
cana-1011	3	121	.	.	PUNCT
cana-1011	4	1	the	the	DET
cana-1011	4	2	job	job	NOUN
cana-1011	4	3	of	of	ADP
cana-1011	4	4	a	a	DET
cana-1011	4	5	search	search	NOUN
cana-1011	4	6	engine	engine	NOUN
cana-1011	4	7	is	be	AUX
cana-1011	4	8	to	to	PART
cana-1011	4	9	find	find	VERB
cana-1011	4	10	the	the	DET
cana-1011	4	11	most	most	ADV
cana-1011	4	12	relevant	relevant	ADJ
cana-1011	4	13	content	content	NOUN
cana-1011	4	14	from	from	ADP
cana-1011	4	15	all	all	DET
cana-1011	4	16	the	the	DET
cana-1011	4	17	blogs	blog	NOUN
cana-1011	4	18	on	on	ADP
cana-1011	4	19	the	the	DET
cana-1011	4	20	internet	internet	NOUN
cana-1011	4	21	based	base	VERB
cana-1011	4	22	on	on	ADP
cana-1011	4	23	the	the	DET
cana-1011	4	24	user	user	NOUN
cana-1011	4	25	's	's	PART
cana-1011	4	26	query	query	NOUN
cana-1011	4	27	.	.	PUNCT
cana-1011	5	1	information	information	NOUN
cana-1011	5	2	retrieval	retrieval	NOUN
cana-1011	5	3	systems	system	NOUN
cana-1011	5	4	,	,	PUNCT
cana-1011	5	5	both	both	CCONJ
cana-1011	5	6	locally	locally	ADV
cana-1011	5	7	and	and	CCONJ
cana-1011	5	8	globally	globally	ADV
cana-1011	5	9	,	,	PUNCT
cana-1011	5	10	have	have	AUX
cana-1011	5	11	been	be	AUX
cana-1011	5	12	profoundly	profoundly	ADV
cana-1011	5	13	affected	affect	VERB
cana-1011	5	14	by	by	ADP
cana-1011	5	15	the	the	DET
cana-1011	5	16	advent	advent	NOUN
cana-1011	5	17	of	of	ADP
cana-1011	5	18	the	the	DET
cana-1011	5	19	internet	internet	NOUN
cana-1011	5	20	,	,	PUNCT
cana-1011	5	21	and	and	CCONJ
cana-1011	5	22	this	this	PRON
cana-1011	5	23	includes	include	VERB
cana-1011	5	24	the	the	DET
cana-1011	5	25	value	value	NOUN
cana-1011	5	26	of	of	ADP
cana-1011	5	27	information	information	NOUN
cana-1011	5	28	left	leave	VERB
cana-1011	5	29	as	as	ADP
cana-1011	5	30	comments	comment	NOUN
cana-1011	5	31	on	on	ADP
cana-1011	5	32	a	a	DET
cana-1011	5	33	page	page	NOUN
cana-1011	5	34	of	of	ADP
cana-1011	5	35	sns	sns	PROPN
cana-1011	5	36	(	(	PUNCT
cana-1011	5	37	social	social	ADJ
cana-1011	5	38	network	network	NOUN
cana-1011	5	39	services	service	NOUN
cana-1011	5	40	)	)	PUNCT
cana-1011	5	41	.	.	PUNCT
cana-1011	6	1	the	the	DET
cana-1011	6	2	concept	concept	NOUN
cana-1011	6	3	of	of	ADP
cana-1011	6	4	emotional	emotional	ADJ
cana-1011	6	5	and	and	CCONJ
cana-1011	6	6	social	social	ADJ
cana-1011	6	7	connections	connection	NOUN
cana-1011	6	8	is	be	AUX
cana-1011	6	9	translated	translate	VERB
cana-1011	6	10	into	into	ADP
cana-1011	6	11	a	a	DET
cana-1011	6	12	logical	logical	ADJ
cana-1011	6	13	framework	framework	NOUN
cana-1011	6	14	using	use	VERB
cana-1011	6	15	the	the	DET
cana-1011	6	16	terms	term	NOUN
cana-1011	6	17	"	"	PUNCT
cana-1011	6	18	node	node	NOUN
cana-1011	6	19	"	"	PUNCT
cana-1011	6	20	and	and	CCONJ
cana-1011	6	21	"	"	PUNCT
cana-1011	6	22	link	link	NOUN
cana-1011	6	23	"	"	PUNCT
cana-1011	6	24	to	to	PART
cana-1011	6	25	describe	describe	VERB
cana-1011	6	26	the	the	DET
cana-1011	6	27	structure	structure	NOUN
cana-1011	6	28	of	of	ADP
cana-1011	6	29	a	a	DET
cana-1011	6	30	social	social	ADJ
cana-1011	6	31	network	network	NOUN
cana-1011	6	32	.	.	PUNCT
cana-1011	7	1	efficient	efficient	ADJ
cana-1011	7	2	semantic	semantic	ADJ
cana-1011	7	3	models	model	NOUN
cana-1011	7	4	are	be	AUX
cana-1011	7	5	more	more	ADV
cana-1011	7	6	extensive	extensive	ADJ
cana-1011	7	7	training	training	NOUN
cana-1011	7	8	and	and	CCONJ
cana-1011	7	9	evaluation	evaluation	NOUN
cana-1011	7	10	materials	material	NOUN
cana-1011	7	11	,	,	PUNCT
cana-1011	7	12	are	be	AUX
cana-1011	7	13	needed	need	VERB
cana-1011	7	14	to	to	PART
cana-1011	7	15	improve	improve	VERB
cana-1011	7	16	social	social	ADJ
cana-1011	7	17	network	network	NOUN
cana-1011	7	18	search	search	NOUN
cana-1011	7	19	capabilities	capability	NOUN
cana-1011	7	20	.	.	PUNCT
cana-1011	8	1	when	when	SCONJ
cana-1011	8	2	compared	compare	VERB
cana-1011	8	3	with	with	ADP
cana-1011	8	4	machine	machine	NOUN
cana-1011	8	5	learning	learn	VERB
cana-1011	8	6	algorithms	algorithm	NOUN
cana-1011	8	7	,	,	PUNCT
cana-1011	8	8	the	the	DET
cana-1011	8	9	efficacy	efficacy	NOUN
cana-1011	8	10	of	of	ADP
cana-1011	8	11	traditional	traditional	ADJ
cana-1011	8	12	keyword	keyword	NOUN
cana-1011	8	13	-	-	PUNCT
cana-1011	8	14	based	base	VERB
cana-1011	8	15	search	search	NOUN
cana-1011	8	16	engines	engine	NOUN
cana-1011	8	17	at	at	ADP
cana-1011	8	18	understanding	understand	VERB
cana-1011	8	19	users	user	NOUN
cana-1011	8	20	'	'	PART
cana-1011	8	21	intentions	intention	NOUN
cana-1011	8	22	is	be	AUX
cana-1011	8	23	low	low	ADJ
cana-1011	8	24	.	.	PUNCT
cana-1011	9	1	recently	recently	ADV
cana-1011	9	2	,	,	PUNCT
cana-1011	9	3	neural	neural	ADJ
cana-1011	9	4	networks	network	NOUN
cana-1011	9	5	have	have	AUX
cana-1011	9	6	gained	gain	VERB
cana-1011	9	7	popularity	popularity	NOUN
cana-1011	9	8	in	in	ADP
cana-1011	9	9	the	the	DET
cana-1011	9	10	field	field	NOUN
cana-1011	9	11	of	of	ADP
cana-1011	9	12	information	information	NOUN
cana-1011	9	13	retrieval	retrieval	NOUN
cana-1011	9	14	because	because	SCONJ
cana-1011	9	15	of	of	ADP
cana-1011	9	16	their	their	PRON
cana-1011	9	17	impressive	impressive	ADJ
cana-1011	9	18	vector	vector	NOUN
cana-1011	9	19	representation	representation	NOUN
cana-1011	9	20	learning	learn	VERB
cana-1011	9	21	capabilities	capability	NOUN
cana-1011	9	22	.	.	PUNCT
cana-1011	10	1	the	the	DET
cana-1011	10	2	usage	usage	NOUN
cana-1011	10	3	of	of	ADP
cana-1011	10	4	deep	deep	ADJ
cana-1011	10	5	learning	learning	NOUN
cana-1011	10	6	techniques	technique	NOUN
cana-1011	10	7	for	for	ADP
cana-1011	10	8	this	this	DET
cana-1011	10	9	purpose	purpose	NOUN
cana-1011	10	10	has	have	AUX
cana-1011	10	11	recently	recently	ADV
cana-1011	10	12	been	be	AUX
cana-1011	10	13	seen	see	VERB
cana-1011	10	14	,	,	PUNCT
cana-1011	10	15	and	and	CCONJ
cana-1011	10	16	they	they	PRON
cana-1011	10	17	have	have	AUX
cana-1011	10	18	proven	prove	VERB
cana-1011	10	19	to	to	PART
cana-1011	10	20	be	be	AUX
cana-1011	10	21	more	more	ADV
cana-1011	10	22	effective	effective	ADJ
cana-1011	10	23	than	than	ADP
cana-1011	10	24	traditional	traditional	ADJ
cana-1011	10	25	machine	machine	NOUN
cana-1011	10	26	learning	learn	VERB
cana-1011	10	27	techniques	technique	NOUN
cana-1011	10	28	such	such	ADJ
cana-1011	10	29	artificial	artificial	ADJ
cana-1011	10	30	neural	neural	ADJ
cana-1011	10	31	networks	network	NOUN
cana-1011	10	32	(	(	PUNCT
cana-1011	10	33	anns	anns	PROPN
cana-1011	10	34	)	)	PUNCT
cana-1011	10	35	.	.	PUNCT
cana-1011	11	1	improved	improve	VERB
cana-1011	11	2	results	result	NOUN
cana-1011	11	3	have	have	AUX
cana-1011	11	4	been	be	AUX
cana-1011	11	5	seen	see	VERB
cana-1011	11	6	specifically	specifically	ADV
cana-1011	11	7	using	use	VERB
cana-1011	11	8	deep	deep	ADJ
cana-1011	11	9	-	-	PUNCT
cana-1011	11	10	learning	learn	VERB
cana-1011	11	11	techniques	technique	NOUN
cana-1011	11	12	like	like	ADP
cana-1011	11	13	long	long	ADJ
cana-1011	11	14	short	short	ADJ
cana-1011	11	15	-	-	PUNCT
cana-1011	11	16	term	term	NOUN
cana-1011	11	17	memory	memory	NOUN
cana-1011	11	18	(	(	PUNCT
cana-1011	11	19	lstm	lstm	PROPN
cana-1011	11	20	)	)	PUNCT
cana-1011	11	21	&	&	CCONJ
cana-1011	11	22	recurrent	recurrent	ADJ
cana-1011	11	23	neural	neural	ADJ
cana-1011	11	24	network	network	NOUN
cana-1011	11	25	(	(	PUNCT
cana-1011	11	26	rnn	rnn	PROPN
cana-1011	11	27	)	)	PUNCT
cana-1011	11	28	.	.	PUNCT
cana-1011	12	1	in	in	ADP
cana-1011	12	2	order	order	NOUN
cana-1011	12	3	to	to	PART
cana-1011	12	4	create	create	VERB
cana-1011	12	5	a	a	DET
cana-1011	12	6	more	more	ADV
cana-1011	12	7	personalized	personalized	ADJ
cana-1011	12	8	information	information	NOUN
cana-1011	12	9	retrieval(ir	retrieval(ir	NOUN
cana-1011	12	10	)	)	PUNCT
cana-1011	12	11	system	system	NOUN
cana-1011	12	12	,	,	PUNCT
cana-1011	12	13	this	this	DET
cana-1011	12	14	research	research	NOUN
cana-1011	12	15	suggests	suggest	VERB
cana-1011	12	16	using	use	VERB
cana-1011	12	17	a	a	DET
cana-1011	12	18	deep	deep	ADJ
cana-1011	12	19	learning	learning	NOUN
cana-1011	12	20	hybrid	hybrid	ADJ
cana-1011	12	21	rnn	rnn	PROPN
cana-1011	12	22	lstm	lstm	PROPN
cana-1011	12	23	model	model	PROPN
cana-1011	12	24	.	.	PUNCT
cana-1011	13	1	finally	finally	ADV
cana-1011	13	2	,	,	PUNCT
cana-1011	13	3	the	the	DET
cana-1011	13	4	suggested	suggest	VERB
cana-1011	13	5	method	method	NOUN
cana-1011	13	6	takes	take	VERB
cana-1011	13	7	user	user	NOUN
cana-1011	13	8	comments	comment	NOUN
cana-1011	13	9	into	into	ADP
cana-1011	13	10	account	account	NOUN
cana-1011	13	11	and	and	CCONJ
cana-1011	13	12	uses	use	VERB
cana-1011	13	13	a	a	DET
cana-1011	13	14	hybrid	hybrid	NOUN
cana-1011	13	15	rnn	rnn	NOUN
cana-1011	13	16	lstm	lstm	ADJ
cana-1011	13	17	to	to	PART
cana-1011	13	18	re	re	VERB
cana-1011	13	19	-	-	VERB
cana-1011	13	20	rank	rank	VERB
cana-1011	13	21	the	the	DET
cana-1011	13	22	data	datum	NOUN
cana-1011	13	23	so	so	SCONJ
cana-1011	13	24	that	that	SCONJ
cana-1011	13	25	everyone	everyone	PRON
cana-1011	13	26	is	be	AUX
cana-1011	13	27	happy	happy	ADJ
cana-1011	13	28	.	.	PUNCT
cana-1011	14	1	web	web	NOUN
cana-1011	14	2	search	search	NOUN
cana-1011	14	3	contest	contest	NOUN
cana-1011	14	4	dataset	dataset	NOUN
cana-1011	14	5	is	be	AUX
cana-1011	14	6	used	use	VERB
cana-1011	14	7	for	for	ADP
cana-1011	14	8	the	the	DET
cana-1011	14	9	implementation	implementation	NOUN
cana-1011	14	10	.	.	PUNCT
cana-1011	15	1	statistics	statistic	NOUN
cana-1011	15	2	like	like	ADP
cana-1011	15	3	accuracy	accuracy	NOUN
cana-1011	15	4	,	,	PUNCT
cana-1011	15	5	precision	precision	NOUN
cana-1011	15	6	,	,	PUNCT
cana-1011	15	7	&	&	CCONJ
cana-1011	15	8	recall	recall	PROPN
cana-1011	15	9	are	be	AUX
cana-1011	15	10	used	use	VERB
cana-1011	15	11	to	to	PART
cana-1011	15	12	evaluate	evaluate	VERB
cana-1011	15	13	the	the	DET
cana-1011	15	14	data	datum	NOUN
cana-1011	15	15	set	set	VERB
cana-1011	15	16	on	on	ADP
cana-1011	15	17	bing	bing	NOUN
cana-1011	15	18	and	and	CCONJ
cana-1011	15	19	duckduck	duckduck	NOUN
cana-1011	15	20	go	go	VERB
cana-1011	15	21	,	,	PUNCT
cana-1011	15	22	two	two	NUM
cana-1011	15	23	of	of	ADP
cana-1011	15	24	the	the	DET
cana-1011	15	25	most	most	ADV
cana-1011	15	26	prominent	prominent	ADJ
cana-1011	15	27	search	search	NOUN
cana-1011	15	28	engines	engine	NOUN
cana-1011	15	29	.	.	PUNCT
cana-1011	16	1	according	accord	VERB
cana-1011	16	2	to	to	ADP
cana-1011	16	3	the	the	DET
cana-1011	16	4	findings	finding	NOUN
cana-1011	16	5	,	,	PUNCT
cana-1011	16	6	the	the	DET
cana-1011	16	7	proposed	propose	VERB
cana-1011	16	8	hybrid	hybrid	NOUN
cana-1011	16	9	method	method	NOUN
cana-1011	16	10	outperformed	outperform	VERB
cana-1011	16	11	more	more	ADV
cana-1011	16	12	traditional	traditional	ADJ
cana-1011	16	13	methods	method	NOUN
cana-1011	16	14	.	.	PUNCT
cana-1011	17	1	keywords	keyword	NOUN
cana-1011	17	2	:	:	PUNCT
cana-1011	17	3	web	web	NOUN
cana-1011	17	4	personalization	personalization	NOUN
cana-1011	17	5	,	,	PUNCT
cana-1011	17	6	rnn	rnn	PROPN
cana-1011	17	7	,	,	PUNCT
cana-1011	17	8	lstm	lstm	PROPN
cana-1011	17	9	,	,	PUNCT
cana-1011	17	10	information	information	NOUN
cana-1011	17	11	retrieval	retrieval	NOUN
cana-1011	17	12	,	,	PUNCT
cana-1011	17	13	hybrid	hybrid	ADJ
cana-1011	17	14	model	model	NOUN
cana-1011	17	15	.	.	PUNCT
cana-1011	18	1	communications	communication	NOUN
cana-1011	18	2	on	on	ADP
cana-1011	18	3	applied	apply	VERB
cana-1011	18	4	nonlinear	nonlinear	ADJ
cana-1011	18	5	analysis	analysis	NOUN
cana-1011	18	6	issn	issn	NOUN
cana-1011	18	7	:	:	PUNCT
cana-1011	18	8	1074	1074	NUM
cana-1011	18	9	-	-	PUNCT
cana-1011	18	10	133x	133x	NUM
cana-1011	18	11	vol	vol	NOUN
cana-1011	18	12	31	31	NUM
cana-1011	18	13	no	no	NOUN
cana-1011	18	14	.	.	PUNCT
cana-1011	19	1	5s	5s	NUM
cana-1011	19	2	(	(	PUNCT
cana-1011	19	3	2024	2024	NUM
cana-1011	19	4	)	)	PUNCT
cana-1011	19	5	168	168	NUM
cana-1011	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	19	7	1	1	X
cana-1011	19	8	.	.	PUNCT
cana-1011	20	1	introduction	introduction	NOUN
cana-1011	20	2	:	:	PUNCT
cana-1011	20	3	the	the	DET
cana-1011	20	4	process	process	NOUN
cana-1011	20	5	of	of	ADP
cana-1011	20	6	retrieving	retrieve	VERB
cana-1011	20	7	useful	useful	ADJ
cana-1011	20	8	information	information	NOUN
cana-1011	20	9	from	from	ADP
cana-1011	20	10	databases	database	NOUN
cana-1011	20	11	of	of	ADP
cana-1011	20	12	records	record	NOUN
cana-1011	20	13	.	.	PUNCT
cana-1011	21	1	traditional	traditional	ADJ
cana-1011	21	2	informationretrieval	informationretrieval	NOUN
cana-1011	21	3	approaches	approach	NOUN
cana-1011	21	4	are	be	AUX
cana-1011	21	5	unable	unable	ADJ
cana-1011	21	6	to	to	PART
cana-1011	21	7	keep	keep	VERB
cana-1011	21	8	up	up	ADP
cana-1011	21	9	with	with	ADP
cana-1011	21	10	the	the	DET
cana-1011	21	11	growing	grow	VERB
cana-1011	21	12	volume	volume	NOUN
cana-1011	21	13	of	of	ADP
cana-1011	21	14	data	datum	NOUN
cana-1011	21	15	and	and	CCONJ
cana-1011	21	16	the	the	DET
cana-1011	21	17	desire	desire	NOUN
cana-1011	21	18	for	for	ADP
cana-1011	21	19	more	more	ADV
cana-1011	21	20	accurate	accurate	ADJ
cana-1011	21	21	search	search	NOUN
cana-1011	21	22	results	result	NOUN
cana-1011	21	23	.	.	PUNCT
cana-1011	22	1	knowledge	knowledge	NOUN
cana-1011	22	2	management	management	NOUN
cana-1011	22	3	's	's	PART
cana-1011	22	4	emphasis	emphasis	NOUN
cana-1011	22	5	on	on	ADP
cana-1011	22	6	information	information	NOUN
cana-1011	22	7	retrieval	retrieval	NOUN
cana-1011	22	8	highlights	highlight	NOUN
cana-1011	22	9	the	the	DET
cana-1011	22	10	importance	importance	NOUN
cana-1011	22	11	of	of	ADP
cana-1011	22	12	ontology	ontology	NOUN
cana-1011	22	13	,	,	PUNCT
cana-1011	22	14	a	a	DET
cana-1011	22	15	relatively	relatively	ADV
cana-1011	22	16	new	new	ADJ
cana-1011	22	17	system	system	NOUN
cana-1011	22	18	for	for	ADP
cana-1011	22	19	organizing	organize	VERB
cana-1011	22	20	knowledge	knowledge	NOUN
cana-1011	22	21	.	.	PUNCT
cana-1011	23	1	rules	rule	NOUN
cana-1011	23	2	for	for	ADP
cana-1011	23	3	modeling	model	VERB
cana-1011	23	4	text	text	NOUN
cana-1011	23	5	in	in	ADP
cana-1011	23	6	recognition	recognition	NOUN
cana-1011	23	7	of	of	ADP
cana-1011	23	8	patterns	pattern	NOUN
cana-1011	23	9	as	as	ADV
cana-1011	23	10	well	well	ADV
cana-1011	23	11	as	as	ADP
cana-1011	23	12	additional	additional	ADJ
cana-1011	23	13	domains	domain	NOUN
cana-1011	23	14	constitute	constitute	VERB
cana-1011	23	15	the	the	DET
cana-1011	23	16	basis	basis	NOUN
cana-1011	23	17	of	of	ADP
cana-1011	23	18	the	the	DET
cana-1011	23	19	current	current	ADJ
cana-1011	23	20	information	information	NOUN
cana-1011	23	21	retrieval	retrieval	NOUN
cana-1011	23	22	models	model	NOUN
cana-1011	23	23	like	like	ADP
cana-1011	23	24	the	the	DET
cana-1011	23	25	model	model	NOUN
cana-1011	23	26	of	of	ADP
cana-1011	23	27	vector	vector	NOUN
cana-1011	23	28	spaces	space	NOUN
cana-1011	23	29	(	(	PUNCT
cana-1011	23	30	vsm	vsm	PROPN
cana-1011	23	31	)	)	PUNCT
cana-1011	24	1	[	[	X
cana-1011	24	2	1	1	NUM
cana-1011	24	3	]	]	PUNCT
cana-1011	24	4	.	.	PUNCT
cana-1011	25	1	this	this	DET
cana-1011	25	2	abstract	abstract	ADJ
cana-1011	25	3	-	-	PUNCT
cana-1011	25	4	looking	look	VERB
cana-1011	25	5	text	text	NOUN
cana-1011	25	6	is	be	AUX
cana-1011	25	7	broken	break	VERB
cana-1011	25	8	down	down	ADP
cana-1011	25	9	,	,	PUNCT
cana-1011	25	10	filtered	filter	VERB
cana-1011	25	11	,	,	PUNCT
cana-1011	25	12	and	and	CCONJ
cana-1011	25	13	categorized	categorize	VERB
cana-1011	25	14	by	by	ADP
cana-1011	25	15	the	the	DET
cana-1011	25	16	vsm	vsm	PROPN
cana-1011	25	17	,	,	PUNCT
cana-1011	25	18	and	and	CCONJ
cana-1011	25	19	the	the	DET
cana-1011	25	20	statistics	statistic	NOUN
cana-1011	25	21	are	be	AUX
cana-1011	25	22	carried	carry	VERB
cana-1011	25	23	on	on	ADP
cana-1011	25	24	to	to	ADP
cana-1011	25	25	the	the	DET
cana-1011	25	26	word	word	NOUN
cana-1011	25	27	frequency	frequency	NOUN
cana-1011	25	28	data	datum	NOUN
cana-1011	25	29	.	.	PUNCT
cana-1011	26	1	the	the	DET
cana-1011	26	2	computer	computer	NOUN
cana-1011	26	3	processes	process	VERB
cana-1011	26	4	the	the	DET
cana-1011	26	5	text	text	NOUN
cana-1011	26	6	in	in	ADP
cana-1011	26	7	accordance	accordance	NOUN
cana-1011	26	8	with	with	ADP
cana-1011	26	9	predetermined	predetermine	VERB
cana-1011	26	10	rules	rule	NOUN
cana-1011	26	11	and	and	CCONJ
cana-1011	26	12	generates	generate	VERB
cana-1011	26	13	statistics	statistic	NOUN
cana-1011	26	14	based	base	VERB
cana-1011	26	15	on	on	ADP
cana-1011	26	16	the	the	DET
cana-1011	26	17	text	text	NOUN
cana-1011	26	18	's	's	PART
cana-1011	26	19	word	word	NOUN
cana-1011	26	20	frequency	frequency	NOUN
cana-1011	26	21	data	datum	NOUN
cana-1011	26	22	.	.	PUNCT
cana-1011	27	1	the	the	DET
cana-1011	27	2	probabilistic	probabilistic	ADJ
cana-1011	27	3	model	model	NOUN
cana-1011	27	4	[	[	X
cana-1011	27	5	2	2	NUM
cana-1011	27	6	]	]	PUNCT
cana-1011	27	7	uses	use	VERB
cana-1011	27	8	largely	largely	ADV
cana-1011	27	9	probabilistic	probabilistic	ADJ
cana-1011	27	10	operations	operation	NOUN
cana-1011	27	11	so	so	SCONJ
cana-1011	27	12	baye	baye	PROPN
cana-1011	27	13	’s	’s	PART
cana-1011	27	14	rule	rule	NOUN
cana-1011	27	15	to	to	PART
cana-1011	27	16	match	match	VERB
cana-1011	27	17	details	detail	NOUN
cana-1011	27	18	from	from	ADP
cana-1011	27	19	the	the	DET
cana-1011	27	20	data	datum	NOUN
cana-1011	27	21	,	,	PUNCT
cana-1011	27	22	and	and	CCONJ
cana-1011	27	23	all	all	PRON
cana-1011	27	24	of	of	ADP
cana-1011	27	25	the	the	DET
cana-1011	27	26	weight	weight	NOUN
cana-1011	27	27	values	value	NOUN
cana-1011	27	28	for	for	ADP
cana-1011	27	29	feature	feature	NOUN
cana-1011	27	30	phrases	phrase	NOUN
cana-1011	27	31	are	be	AUX
cana-1011	27	32	multi	multi	NOUN
cana-1011	27	33	valued	value	VERB
cana-1011	27	34	.	.	PUNCT
cana-1011	28	1	to	to	PART
cana-1011	28	2	capture	capture	VERB
cana-1011	28	3	the	the	DET
cana-1011	28	4	user	user	NOUN
cana-1011	28	5	's	's	PART
cana-1011	28	6	interest	interest	NOUN
cana-1011	28	7	,	,	PUNCT
cana-1011	28	8	or	or	CCONJ
cana-1011	28	9	their	their	PRON
cana-1011	28	10	unique	unique	ADJ
cana-1011	28	11	inquiry	inquiry	NOUN
cana-1011	28	12	,	,	PUNCT
cana-1011	28	13	the	the	DET
cana-1011	28	14	probabilistic	probabilistic	ADJ
cana-1011	28	15	model	model	NOUN
cana-1011	28	16	makes	make	VERB
cana-1011	28	17	use	use	NOUN
cana-1011	28	18	of	of	ADP
cana-1011	28	19	the	the	DET
cana-1011	28	20	index	index	NOUN
cana-1011	28	21	word	word	NOUN
cana-1011	28	22	.	.	PUNCT
cana-1011	29	1	unfortunately	unfortunately	ADV
cana-1011	29	2	,	,	PUNCT
cana-1011	29	3	there	there	PRON
cana-1011	29	4	is	be	VERB
cana-1011	29	5	not	not	PART
cana-1011	29	6	yet	yet	ADV
cana-1011	29	7	a	a	DET
cana-1011	29	8	standardized	standardized	ADJ
cana-1011	29	9	vocabulary	vocabulary	NOUN
cana-1011	29	10	set	set	NOUN
cana-1011	29	11	that	that	PRON
cana-1011	29	12	includes	include	VERB
cana-1011	29	13	both	both	PRON
cana-1011	29	14	a	a	DET
cana-1011	29	15	semantic	semantic	ADJ
cana-1011	29	16	characteristic	characteristic	NOUN
cana-1011	29	17	and	and	CCONJ
cana-1011	29	18	a	a	DET
cana-1011	29	19	document	document	NOUN
cana-1011	29	20	label	label	NOUN
cana-1011	29	21	.	.	PUNCT
cana-1011	30	1	the	the	DET
cana-1011	30	2	meaning	meaning	NOUN
cana-1011	30	3	of	of	ADP
cana-1011	30	4	the	the	DET
cana-1011	30	5	document	document	NOUN
cana-1011	30	6	is	be	AUX
cana-1011	30	7	missing	miss	VERB
cana-1011	30	8	from	from	ADP
cana-1011	30	9	the	the	DET
cana-1011	30	10	traditional	traditional	ADJ
cana-1011	30	11	weighted	weight	VERB
cana-1011	30	12	method	method	NOUN
cana-1011	30	13	,	,	PUNCT
cana-1011	30	14	making	make	VERB
cana-1011	30	15	it	it	PRON
cana-1011	30	16	unreliable	unreliable	ADJ
cana-1011	30	17	for	for	ADP
cana-1011	30	18	describing	describe	VERB
cana-1011	30	19	the	the	DET
cana-1011	30	20	material	material	NOUN
cana-1011	30	21	.	.	PUNCT
cana-1011	31	1	document	document	NOUN
cana-1011	31	2	meaning	meaning	NOUN
cana-1011	31	3	is	be	AUX
cana-1011	31	4	expressed	express	VERB
cana-1011	31	5	via	via	ADP
cana-1011	31	6	domain	domain	NOUN
cana-1011	31	7	ontology	ontology	NOUN
cana-1011	31	8	of	of	ADP
cana-1011	31	9	the	the	DET
cana-1011	31	10	semantics	semantic	NOUN
cana-1011	31	11	relation	relation	NOUN
cana-1011	31	12	[	[	X
cana-1011	31	13	4	4	NUM
cana-1011	31	14	]	]	PUNCT
cana-1011	31	15	and	and	CCONJ
cana-1011	31	16	weighted	weight	VERB
cana-1011	31	17	item	item	NOUN
cana-1011	31	18	frequency	frequency	NOUN
cana-1011	32	1	[	[	X
cana-1011	32	2	3	3	NUM
cana-1011	32	3	]	]	PUNCT
cana-1011	32	4	based	base	VERB
cana-1011	32	5	on	on	ADP
cana-1011	32	6	the	the	DET
cana-1011	32	7	outcomes	outcome	NOUN
cana-1011	32	8	of	of	ADP
cana-1011	32	9	semantic	semantic	ADJ
cana-1011	32	10	annotation	annotation	NOUN
cana-1011	32	11	.	.	PUNCT
cana-1011	33	1	converting	convert	VERB
cana-1011	33	2	text	text	NOUN
cana-1011	33	3	into	into	ADP
cana-1011	33	4	a	a	DET
cana-1011	33	5	vector	vector	NOUN
cana-1011	33	6	space	space	NOUN
cana-1011	33	7	or	or	CCONJ
cana-1011	33	8	probabilistic	probabilistic	ADJ
cana-1011	33	9	set	set	NOUN
cana-1011	33	10	is	be	AUX
cana-1011	33	11	made	make	VERB
cana-1011	33	12	easier	easy	ADJ
cana-1011	33	13	by	by	ADP
cana-1011	33	14	vsm	vsm	PROPN
cana-1011	33	15	and	and	CCONJ
cana-1011	33	16	probability	probability	NOUN
cana-1011	33	17	models	model	NOUN
cana-1011	33	18	.	.	PUNCT
cana-1011	34	1	the	the	DET
cana-1011	34	2	number	number	NOUN
cana-1011	34	3	of	of	ADP
cana-1011	34	4	times	time	NOUN
cana-1011	34	5	that	that	SCONJ
cana-1011	34	6	a	a	DET
cana-1011	34	7	query	query	NOUN
cana-1011	34	8	word	word	NOUN
cana-1011	34	9	appears	appear	VERB
cana-1011	34	10	in	in	ADP
cana-1011	34	11	the	the	DET
cana-1011	34	12	text	text	NOUN
cana-1011	34	13	of	of	ADP
cana-1011	34	14	the	the	DET
cana-1011	34	15	article	article	NOUN
cana-1011	34	16	is	be	AUX
cana-1011	34	17	described	describe	VERB
cana-1011	34	18	using	use	VERB
cana-1011	34	19	the	the	DET
cana-1011	34	20	frequency	frequency	NOUN
cana-1011	34	21	property	property	NOUN
cana-1011	34	22	.	.	PUNCT
cana-1011	35	1	the	the	DET
cana-1011	35	2	study	study	NOUN
cana-1011	35	3	simply	simply	ADV
cana-1011	35	4	calculates	calculate	VERB
cana-1011	35	5	that	that	SCONJ
cana-1011	35	6	the	the	DET
cana-1011	35	7	occurrence	occurrence	NOUN
cana-1011	35	8	of	of	ADP
cana-1011	35	9	a	a	DET
cana-1011	35	10	term	term	NOUN
cana-1011	35	11	is	be	AUX
cana-1011	35	12	not	not	PART
cana-1011	35	13	sufficient	sufficient	ADJ
cana-1011	35	14	for	for	ADP
cana-1011	35	15	a	a	DET
cana-1011	35	16	summary	summary	NOUN
cana-1011	35	17	,	,	PUNCT
cana-1011	35	18	and	and	CCONJ
cana-1011	35	19	this	this	PRON
cana-1011	35	20	takes	take	VERB
cana-1011	35	21	into	into	ADP
cana-1011	35	22	account	account	NOUN
cana-1011	35	23	the	the	DET
cana-1011	35	24	segmentation	segmentation	NOUN
cana-1011	35	25	details	detail	NOUN
cana-1011	35	26	of	of	ADP
cana-1011	35	27	the	the	DET
cana-1011	35	28	document	document	NOUN
cana-1011	35	29	.	.	PUNCT
cana-1011	36	1	meanwhile	meanwhile	ADV
cana-1011	36	2	,	,	PUNCT
cana-1011	36	3	here	here	ADV
cana-1011	36	4	is	be	AUX
cana-1011	36	5	no	no	DET
cana-1011	36	6	agreed	agree	VERB
cana-1011	36	7	-	-	PUNCT
cana-1011	36	8	upon	upon	ADP
cana-1011	36	9	language	language	NOUN
cana-1011	36	10	for	for	ADP
cana-1011	36	11	labeling	labeling	NOUN
cana-1011	36	12	documents	document	NOUN
cana-1011	36	13	or	or	CCONJ
cana-1011	36	14	providing	provide	VERB
cana-1011	36	15	a	a	DET
cana-1011	36	16	collection	collection	NOUN
cana-1011	36	17	of	of	ADP
cana-1011	36	18	standardized	standardized	ADJ
cana-1011	36	19	semantic	semantic	ADJ
cana-1011	36	20	features	feature	NOUN
cana-1011	36	21	.	.	PUNCT
cana-1011	37	1	by	by	ADP
cana-1011	37	2	incorporating	incorporate	VERB
cana-1011	37	3	ontology	ontology	NOUN
cana-1011	37	4	into	into	ADP
cana-1011	37	5	the	the	DET
cana-1011	37	6	retrieval	retrieval	NOUN
cana-1011	37	7	process	process	NOUN
cana-1011	37	8	,	,	PUNCT
cana-1011	37	9	users	user	NOUN
cana-1011	37	10	'	'	PART
cana-1011	37	11	semantic	semantic	ADJ
cana-1011	37	12	information	information	NOUN
cana-1011	37	13	can	can	AUX
cana-1011	37	14	be	be	AUX
cana-1011	37	15	queried	query	VERB
cana-1011	37	16	according	accord	VERB
cana-1011	37	17	to	to	ADP
cana-1011	37	18	their	their	PRON
cana-1011	37	19	specific	specific	ADJ
cana-1011	37	20	retrieval	retrieval	NOUN
cana-1011	37	21	requirements	requirement	NOUN
cana-1011	37	22	[	[	X
cana-1011	37	23	5	5	NUM
cana-1011	37	24	]	]	PUNCT
cana-1011	37	25	.	.	PUNCT
cana-1011	38	1	user	user	NOUN
cana-1011	38	2	information	information	PROPN
cana-1011	38	3	demand	demand	NOUN
cana-1011	38	4	logic	logic	NOUN
cana-1011	38	5	perspective	perspective	NOUN
cana-1011	38	6	is	be	AUX
cana-1011	38	7	disjointed	disjointed	ADJ
cana-1011	38	8	and	and	CCONJ
cana-1011	38	9	wrong	wrong	ADJ
cana-1011	38	10	without	without	ADP
cana-1011	38	11	the	the	DET
cana-1011	38	12	vocabulary	vocabulary	NOUN
cana-1011	38	13	set	set	NOUN
cana-1011	38	14	containing	contain	VERB
cana-1011	38	15	semantics	semantic	NOUN
cana-1011	38	16	description	description	NOUN
cana-1011	38	17	,	,	PUNCT
cana-1011	38	18	which	which	PRON
cana-1011	38	19	is	be	AUX
cana-1011	38	20	necessary	necessary	ADJ
cana-1011	38	21	to	to	PART
cana-1011	38	22	convey	convey	VERB
cana-1011	38	23	the	the	DET
cana-1011	38	24	semantic	semantic	NOUN
cana-1011	38	25	of	of	ADP
cana-1011	38	26	the	the	DET
cana-1011	38	27	user	user	NOUN
cana-1011	38	28	's	's	PART
cana-1011	38	29	requirement	requirement	NOUN
cana-1011	38	30	.	.	PUNCT
cana-1011	39	1	the	the	DET
cana-1011	39	2	logical	logical	ADJ
cana-1011	39	3	view	view	NOUN
cana-1011	39	4	does	do	AUX
cana-1011	39	5	n't	not	PART
cana-1011	39	6	show	show	VERB
cana-1011	39	7	what	what	PRON
cana-1011	39	8	the	the	DET
cana-1011	39	9	written	write	VERB
cana-1011	39	10	content	content	NOUN
cana-1011	39	11	and	and	CCONJ
cana-1011	39	12	the	the	DET
cana-1011	39	13	reader	reader	NOUN
cana-1011	39	14	need	need	VERB
cana-1011	39	15	,	,	PUNCT
cana-1011	39	16	and	and	CCONJ
cana-1011	39	17	the	the	DET
cana-1011	39	18	results	result	NOUN
cana-1011	39	19	of	of	ADP
cana-1011	39	20	the	the	DET
cana-1011	39	21	search	search	NOUN
cana-1011	39	22	do	do	AUX
cana-1011	39	23	n't	not	PART
cana-1011	39	24	convince	convince	VERB
cana-1011	39	25	the	the	DET
cana-1011	39	26	user	user	NOUN
cana-1011	39	27	in	in	ADP
cana-1011	39	28	this	this	DET
cana-1011	39	29	type	type	NOUN
cana-1011	39	30	of	of	ADP
cana-1011	39	31	information	information	NOUN
cana-1011	39	32	retrieval	retrieval	NOUN
cana-1011	39	33	model	model	NOUN
cana-1011	39	34	,	,	PUNCT
cana-1011	39	35	even	even	ADV
cana-1011	39	36	if	if	SCONJ
cana-1011	39	37	we	we	PRON
cana-1011	39	38	employ	employ	VERB
cana-1011	39	39	the	the	DET
cana-1011	39	40	right	right	ADJ
cana-1011	39	41	sort	sort	NOUN
cana-1011	39	42	function	function	NOUN
cana-1011	39	43	r	r	NOUN
cana-1011	39	44	(	(	PUNCT
cana-1011	39	45	r	r	NOUN
cana-1011	39	46	is	be	AUX
cana-1011	39	47	the	the	DET
cana-1011	39	48	opposite	opposite	NOUN
cana-1011	39	49	of	of	ADP
cana-1011	39	50	the	the	DET
cana-1011	39	51	split	split	NOUN
cana-1011	39	52	between	between	ADP
cana-1011	39	53	points	point	NOUN
cana-1011	39	54	)	)	PUNCT
cana-1011	39	55	.	.	PUNCT
cana-1011	40	1	we	we	PRON
cana-1011	40	2	construct	construct	VERB
cana-1011	40	3	a	a	DET
cana-1011	40	4	model	model	NOUN
cana-1011	40	5	using	use	VERB
cana-1011	40	6	ir	ir	PROPN
cana-1011	40	7	and	and	CCONJ
cana-1011	40	8	a	a	DET
cana-1011	40	9	domain	domain	NOUN
cana-1011	40	10	ontology	ontology	NOUN
cana-1011	40	11	repository	repository	NOUN
cana-1011	40	12	to	to	PART
cana-1011	40	13	enhance	enhance	VERB
cana-1011	40	14	the	the	DET
cana-1011	40	15	precision	precision	NOUN
cana-1011	40	16	and	and	CCONJ
cana-1011	40	17	speed	speed	NOUN
cana-1011	40	18	of	of	ADP
cana-1011	40	19	user	user	NOUN
cana-1011	40	20	retrieval	retrieval	NOUN
cana-1011	40	21	.	.	PUNCT
cana-1011	41	1	combining	combine	VERB
cana-1011	41	2	an	an	DET
cana-1011	41	3	ontology	ontology	NOUN
cana-1011	41	4	-	-	PUNCT
cana-1011	41	5	based	base	VERB
cana-1011	41	6	retrieval	retrieval	NOUN
cana-1011	41	7	system	system	NOUN
cana-1011	41	8	with	with	ADP
cana-1011	41	9	.	.	PUNCT
cana-1011	42	1	improved	improve	VERB
cana-1011	42	2	recall	recall	NOUN
cana-1011	42	3	and	and	CCONJ
cana-1011	42	4	accuracy	accuracy	NOUN
cana-1011	42	5	in	in	ADP
cana-1011	42	6	document	document	NOUN
cana-1011	42	7	processing	processing	NOUN
cana-1011	42	8	can	can	AUX
cana-1011	42	9	be	be	AUX
cana-1011	42	10	achieved	achieve	VERB
cana-1011	42	11	through	through	ADP
cana-1011	42	12	the	the	DET
cana-1011	42	13	use	use	NOUN
cana-1011	42	14	of	of	ADP
cana-1011	42	15	a	a	DET
cana-1011	42	16	keyword	keyword	NOUN
cana-1011	42	17	-	-	PUNCT
cana-1011	42	18	based	base	VERB
cana-1011	42	19	ir	ir	NOUN
cana-1011	42	20	system	system	NOUN
cana-1011	42	21	.	.	PUNCT
cana-1011	43	1	figure	figure	NOUN
cana-1011	43	2	1	1	NUM
cana-1011	43	3	shows	show	VERB
cana-1011	43	4	an	an	DET
cana-1011	43	5	example	example	NOUN
cana-1011	43	6	of	of	ADP
cana-1011	43	7	an	an	DET
cana-1011	43	8	effective	effective	ADJ
cana-1011	43	9	,	,	PUNCT
cana-1011	43	10	index	index	NOUN
cana-1011	43	11	-	-	PUNCT
cana-1011	43	12	based	base	VERB
cana-1011	43	13	,	,	PUNCT
cana-1011	43	14	personalized	personalized	ADJ
cana-1011	43	15	information	information	NOUN
cana-1011	43	16	retrieval	retrieval	NOUN
cana-1011	43	17	system	system	NOUN
cana-1011	43	18	.	.	PUNCT
cana-1011	44	1	communications	communication	NOUN
cana-1011	44	2	on	on	ADP
cana-1011	44	3	applied	apply	VERB
cana-1011	44	4	nonlinear	nonlinear	ADJ
cana-1011	44	5	analysis	analysis	NOUN
cana-1011	44	6	issn	issn	NOUN
cana-1011	44	7	:	:	PUNCT
cana-1011	44	8	1074	1074	NUM
cana-1011	44	9	-	-	PUNCT
cana-1011	44	10	133x	133x	NUM
cana-1011	44	11	vol	vol	NOUN
cana-1011	44	12	31	31	NUM
cana-1011	44	13	no	no	NOUN
cana-1011	44	14	.	.	PUNCT
cana-1011	45	1	5s	5s	NUM
cana-1011	45	2	(	(	PUNCT
cana-1011	45	3	2024	2024	NUM
cana-1011	45	4	)	)	PUNCT
cana-1011	45	5	169	169	NUM
cana-1011	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	45	7	figure	figure	NOUN
cana-1011	45	8	1.a	1.a	NUM
cana-1011	45	9	personalized	personalized	ADJ
cana-1011	45	10	information	information	NOUN
cana-1011	45	11	retrieval	retrieval	NOUN
cana-1011	45	12	system	system	NOUN
cana-1011	45	13	[	[	X
cana-1011	45	14	6	6	NUM
cana-1011	45	15	]	]	PUNCT
cana-1011	45	16	here	here	ADV
cana-1011	45	17	is	be	AUX
cana-1011	45	18	how	how	SCONJ
cana-1011	45	19	the	the	DET
cana-1011	45	20	rest	rest	NOUN
cana-1011	45	21	of	of	ADP
cana-1011	45	22	the	the	DET
cana-1011	45	23	paper	paper	NOUN
cana-1011	45	24	is	be	AUX
cana-1011	45	25	laid	lay	VERB
cana-1011	45	26	out	out	ADP
cana-1011	45	27	.	.	PUNCT
cana-1011	46	1	in	in	ADP
cana-1011	46	2	the	the	DET
cana-1011	46	3	second	second	ADJ
cana-1011	46	4	part	part	NOUN
cana-1011	46	5	of	of	ADP
cana-1011	46	6	this	this	DET
cana-1011	46	7	paper	paper	NOUN
cana-1011	46	8	,	,	PUNCT
cana-1011	46	9	we	we	PRON
cana-1011	46	10	review	review	VERB
cana-1011	46	11	the	the	DET
cana-1011	46	12	recent	recent	ADJ
cana-1011	46	13	research	research	NOUN
cana-1011	46	14	on	on	ADP
cana-1011	46	15	personalized	personalized	ADJ
cana-1011	46	16	information	information	NOUN
cana-1011	46	17	retrieval	retrieval	NOUN
cana-1011	46	18	system	system	NOUN
cana-1011	46	19	systems	system	NOUN
cana-1011	46	20	and	and	CCONJ
cana-1011	46	21	the	the	DET
cana-1011	46	22	algorithms	algorithm	NOUN
cana-1011	46	23	which	which	PRON
cana-1011	46	24	drive	drive	VERB
cana-1011	46	25	them	they	PRON
cana-1011	46	26	.	.	PUNCT
cana-1011	47	1	in	in	ADP
cana-1011	47	2	section	section	NOUN
cana-1011	47	3	3	3	NUM
cana-1011	47	4	,	,	PUNCT
cana-1011	47	5	we	we	PRON
cana-1011	47	6	covered	cover	VERB
cana-1011	47	7	the	the	DET
cana-1011	47	8	topics	topic	NOUN
cana-1011	47	9	of	of	ADP
cana-1011	47	10	rnn	rnn	PROPN
cana-1011	47	11	,	,	PUNCT
cana-1011	47	12	lstm	lstm	NOUN
cana-1011	47	13	,	,	PUNCT
cana-1011	47	14	and	and	CCONJ
cana-1011	47	15	the	the	DET
cana-1011	47	16	proposed	propose	VERB
cana-1011	47	17	hybrid	hybrid	NOUN
cana-1011	47	18	model	model	NOUN
cana-1011	47	19	.	.	PUNCT
cana-1011	48	1	the	the	DET
cana-1011	48	2	other	other	ADJ
cana-1011	48	3	search	search	NOUN
cana-1011	48	4	engines	engine	NOUN
cana-1011	48	5	and	and	CCONJ
cana-1011	48	6	their	their	PRON
cana-1011	48	7	interpretation	interpretation	NOUN
cana-1011	48	8	of	of	ADP
cana-1011	48	9	the	the	DET
cana-1011	48	10	dataset	dataset	NOUN
cana-1011	48	11	are	be	AUX
cana-1011	48	12	discussed	discuss	VERB
cana-1011	48	13	in	in	ADP
cana-1011	48	14	section	section	NOUN
cana-1011	48	15	4	4	NUM
cana-1011	48	16	.	.	PUNCT
cana-1011	48	17	results	result	NOUN
cana-1011	48	18	and	and	CCONJ
cana-1011	48	19	evaluation	evaluation	NOUN
cana-1011	48	20	are	be	AUX
cana-1011	48	21	covered	cover	VERB
cana-1011	48	22	in	in	ADP
cana-1011	48	23	section	section	NOUN
cana-1011	48	24	5	5	NUM
cana-1011	48	25	,	,	PUNCT
cana-1011	48	26	and	and	CCONJ
cana-1011	48	27	the	the	DET
cana-1011	48	28	process	process	NOUN
cana-1011	48	29	concludes	conclude	VERB
cana-1011	48	30	up	up	ADP
cana-1011	48	31	in	in	ADP
cana-1011	48	32	section	section	NOUN
cana-1011	48	33	6	6	NUM
cana-1011	48	34	.	.	NOUN
cana-1011	49	1	2	2	NUM
cana-1011	49	2	.	.	X
cana-1011	49	3	literature	literature	NOUN
cana-1011	49	4	survey	survey	NOUN
cana-1011	49	5	:	:	PUNCT
cana-1011	49	6	improvements	improvement	NOUN
cana-1011	49	7	in	in	ADP
cana-1011	49	8	ir	ir	PROPN
cana-1011	49	9	,	,	PUNCT
cana-1011	49	10	or	or	CCONJ
cana-1011	49	11	information	information	NOUN
cana-1011	49	12	retrieval	retrieval	NOUN
cana-1011	49	13	,	,	PUNCT
cana-1011	49	14	are	be	AUX
cana-1011	49	15	numerous	numerous	ADJ
cana-1011	49	16	.	.	PUNCT
cana-1011	50	1	ir	ir	PROPN
cana-1011	50	2	has	have	AUX
cana-1011	50	3	been	be	AUX
cana-1011	50	4	used	use	VERB
cana-1011	50	5	in	in	ADP
cana-1011	50	6	commercial	commercial	ADJ
cana-1011	50	7	&	&	CCONJ
cana-1011	50	8	intelligence	intelligence	NOUN
cana-1011	50	9	contexts	context	NOUN
cana-1011	50	10	since	since	SCONJ
cana-1011	50	11	at	at	ADV
cana-1011	50	12	least	least	ADJ
cana-1011	50	13	1960	1960	NUM
cana-1011	50	14	,	,	PUNCT
cana-1011	50	15	long	long	ADV
cana-1011	50	16	before	before	SCONJ
cana-1011	50	17	the	the	DET
cana-1011	50	18	advent	advent	NOUN
cana-1011	50	19	of	of	ADP
cana-1011	50	20	the	the	DET
cana-1011	50	21	internet	internet	NOUN
cana-1011	50	22	moved	move	VERB
cana-1011	50	23	its	its	PRON
cana-1011	50	24	focus	focus	NOUN
cana-1011	50	25	to	to	ADP
cana-1011	50	26	web	web	NOUN
cana-1011	50	27	searches	search	NOUN
cana-1011	50	28	and	and	CCONJ
cana-1011	50	29	similar	similar	ADJ
cana-1011	50	30	.	.	PUNCT
cana-1011	51	1	the	the	DET
cana-1011	51	2	growth	growth	NOUN
cana-1011	51	3	in	in	ADP
cana-1011	51	4	computing	compute	VERB
cana-1011	51	5	power	power	NOUN
cana-1011	51	6	and	and	CCONJ
cana-1011	51	7	storage	storage	NOUN
cana-1011	51	8	space	space	NOUN
cana-1011	51	9	has	have	AUX
cana-1011	51	10	led	lead	VERB
cana-1011	51	11	to	to	ADP
cana-1011	51	12	a	a	DET
cana-1011	51	13	corresponding	corresponding	ADJ
cana-1011	51	14	rise	rise	NOUN
cana-1011	51	15	in	in	ADP
cana-1011	51	16	the	the	DET
cana-1011	51	17	speed	speed	NOUN
cana-1011	51	18	and	and	CCONJ
cana-1011	51	19	precision	precision	NOUN
cana-1011	51	20	of	of	ADP
cana-1011	51	21	the	the	DET
cana-1011	51	22	same	same	ADJ
cana-1011	51	23	.	.	PUNCT
cana-1011	52	1	as	as	SCONJ
cana-1011	52	2	the	the	DET
cana-1011	52	3	area	area	NOUN
cana-1011	52	4	of	of	ADP
cana-1011	52	5	ir	ir	PROPN
cana-1011	52	6	has	have	AUX
cana-1011	52	7	grown	grow	VERB
cana-1011	52	8	and	and	CCONJ
cana-1011	52	9	evolved	evolve	VERB
cana-1011	52	10	,	,	PUNCT
cana-1011	52	11	so	so	ADV
cana-1011	52	12	too	too	ADV
cana-1011	52	13	have	have	AUX
cana-1011	52	14	querying	query	VERB
cana-1011	52	15	methods	method	NOUN
cana-1011	52	16	,	,	PUNCT
cana-1011	52	17	which	which	PRON
cana-1011	52	18	have	have	AUX
cana-1011	52	19	quickly	quickly	ADV
cana-1011	52	20	evolved	evolve	VERB
cana-1011	52	21	from	from	ADP
cana-1011	52	22	more	more	ADV
cana-1011	52	23	laborious	laborious	ADJ
cana-1011	52	24	,	,	PUNCT
cana-1011	52	25	library	library	NOUN
cana-1011	52	26	-	-	PUNCT
cana-1011	52	27	based	base	VERB
cana-1011	52	28	procedures	procedure	NOUN
cana-1011	52	29	to	to	ADP
cana-1011	52	30	fully	fully	ADV
cana-1011	52	31	digital	digital	ADJ
cana-1011	52	32	ones	one	NOUN
cana-1011	52	33	.	.	PUNCT
cana-1011	53	1	brilliantly	brilliantly	ADV
cana-1011	53	2	extending	extend	VERB
cana-1011	53	3	early	early	ADJ
cana-1011	53	4	ir	ir	PROPN
cana-1011	53	5	technique[7	technique[7	NOUN
cana-1011	53	6	]	]	PUNCT
cana-1011	53	7	,	,	PUNCT
cana-1011	53	8	the	the	DET
cana-1011	53	9	references	reference	NOUN
cana-1011	53	10	based	base	VERB
cana-1011	53	11	search	search	NOUN
cana-1011	53	12	expansion	expansion	NOUN
cana-1011	53	13	was	be	AUX
cana-1011	53	14	developed	develop	VERB
cana-1011	53	15	by	by	ADP
cana-1011	53	16	brshaw	brshaw	NOUN
cana-1011	53	17	,	,	PUNCT
cana-1011	53	18	suheink	suheink	NOUN
cana-1011	53	19	,	,	PUNCT
cana-1011	53	20	&	&	CCONJ
cana-1011	53	21	hammond	hammond	PROPN
cana-1011	53	22	at	at	ADP
cana-1011	53	23	northwestern	northwestern	ADJ
cana-1011	53	24	university	university	NOUN
cana-1011	53	25	's	's	PART
cana-1011	53	26	smart	smart	ADJ
cana-1011	53	27	information	information	NOUN
cana-1011	53	28	lab	lab	NOUN
cana-1011	53	29	.	.	PUNCT
cana-1011	54	1	despite	despite	SCONJ
cana-1011	54	2	the	the	DET
cana-1011	54	3	fact	fact	NOUN
cana-1011	54	4	that	that	SCONJ
cana-1011	54	5	this	this	DET
cana-1011	54	6	approach	approach	NOUN
cana-1011	54	7	can	can	AUX
cana-1011	54	8	only	only	ADV
cana-1011	54	9	be	be	AUX
cana-1011	54	10	used	use	VERB
cana-1011	54	11	with	with	ADP
cana-1011	54	12	texts	text	NOUN
cana-1011	54	13	that	that	PRON
cana-1011	54	14	are	be	AUX
cana-1011	54	15	conceptually	conceptually	ADV
cana-1011	54	16	similar	similar	ADJ
cana-1011	54	17	to	to	ADP
cana-1011	54	18	one	one	NUM
cana-1011	54	19	another	another	DET
cana-1011	54	20	,	,	PUNCT
cana-1011	54	21	archives	archive	NOUN
cana-1011	54	22	allow	allow	VERB
cana-1011	54	23	articles	article	NOUN
cana-1011	54	24	to	to	PART
cana-1011	54	25	be	be	AUX
cana-1011	54	26	indexed	index	VERB
cana-1011	54	27	based	base	VERB
cana-1011	54	28	on	on	ADP
cana-1011	54	29	how	how	SCONJ
cana-1011	54	30	they	they	PRON
cana-1011	54	31	are	be	AUX
cana-1011	54	32	mentioned	mention	VERB
cana-1011	54	33	in	in	ADP
cana-1011	54	34	other	other	ADJ
cana-1011	54	35	articles	article	NOUN
cana-1011	54	36	.	.	PUNCT
cana-1011	55	1	to	to	ADP
cana-1011	55	2	this	this	DET
cana-1011	55	3	day	day	NOUN
cana-1011	55	4	,	,	PUNCT
cana-1011	55	5	bradshaw	bradshaw	PROPN
cana-1011	55	6	's	's	PART
cana-1011	55	7	renowned	renowned	ADJ
cana-1011	55	8	and	and	CCONJ
cana-1011	55	9	invaluable	invaluable	ADJ
cana-1011	55	10	remark	remark	NOUN
cana-1011	55	11	that	that	SCONJ
cana-1011	55	12	"	"	PUNCT
cana-1011	55	13	people	people	NOUN
cana-1011	55	14	rarely	rarely	ADV
cana-1011	55	15	formulate	formulate	VERB
cana-1011	55	16	queries	query	NOUN
cana-1011	55	17	of	of	ADP
cana-1011	55	18	more	more	ADJ
cana-1011	55	19	than	than	ADP
cana-1011	55	20	three	three	NUM
cana-1011	55	21	words	word	NOUN
cana-1011	55	22	"	"	PUNCT
cana-1011	55	23	stays	stay	VERB
cana-1011	55	24	true	true	ADJ
cana-1011	55	25	.	.	PUNCT
cana-1011	56	1	they	they	PRON
cana-1011	56	2	design	design	VERB
cana-1011	56	3	the	the	DET
cana-1011	56	4	indexing	indexing	NOUN
cana-1011	56	5	system	system	NOUN
cana-1011	56	6	on	on	ADP
cana-1011	56	7	the	the	DET
cana-1011	56	8	premise	premise	NOUN
cana-1011	56	9	that	that	SCONJ
cana-1011	56	10	users	user	NOUN
cana-1011	56	11	will	will	AUX
cana-1011	56	12	only	only	ADV
cana-1011	56	13	submit	submit	VERB
cana-1011	56	14	clear	clear	ADJ
cana-1011	56	15	queries	query	NOUN
cana-1011	56	16	.	.	PUNCT
cana-1011	57	1	indexing	indexing	NOUN
cana-1011	57	2	documents	document	NOUN
cana-1011	57	3	was	be	AUX
cana-1011	57	4	the	the	DET
cana-1011	57	5	primary	primary	ADJ
cana-1011	57	6	method	method	NOUN
cana-1011	57	7	used	use	VERB
cana-1011	57	8	to	to	PART
cana-1011	57	9	get	get	VERB
cana-1011	57	10	relevant	relevant	ADJ
cana-1011	57	11	search	search	NOUN
cana-1011	57	12	results	result	NOUN
cana-1011	57	13	.	.	PUNCT
cana-1011	58	1	since	since	SCONJ
cana-1011	58	2	the	the	DET
cana-1011	58	3	reference	reference	NOUN
cana-1011	58	4	pair	pair	NOUN
cana-1011	58	5	exactly	exactly	ADV
cana-1011	58	6	matches	match	VERB
cana-1011	58	7	the	the	DET
cana-1011	58	8	document	document	NOUN
cana-1011	58	9	that	that	PRON
cana-1011	58	10	includes	include	VERB
cana-1011	58	11	the	the	DET
cana-1011	58	12	necessary	necessary	ADJ
cana-1011	58	13	information	information	NOUN
cana-1011	58	14	,	,	PUNCT
cana-1011	58	15	using	use	VERB
cana-1011	58	16	references	reference	NOUN
cana-1011	58	17	is	be	AUX
cana-1011	58	18	a	a	DET
cana-1011	58	19	powerful	powerful	ADJ
cana-1011	58	20	method	method	NOUN
cana-1011	58	21	of	of	ADP
cana-1011	58	22	indexing	indexing	NOUN
cana-1011	58	23	and	and	CCONJ
cana-1011	58	24	ranking	rank	VERB
cana-1011	58	25	the	the	DET
cana-1011	58	26	documents	document	NOUN
cana-1011	58	27	.	.	PUNCT
cana-1011	59	1	chau	chau	NOUN
cana-1011	59	2	and	and	CCONJ
cana-1011	59	3	yeh	yeh	NOUN
cana-1011	60	1	[	[	X
cana-1011	60	2	8	8	NUM
cana-1011	60	3	]	]	PUNCT
cana-1011	60	4	suggested	suggest	VERB
cana-1011	60	5	a	a	DET
cana-1011	60	6	method	method	NOUN
cana-1011	60	7	that	that	PRON
cana-1011	60	8	works	work	VERB
cana-1011	60	9	with	with	ADP
cana-1011	60	10	the	the	DET
cana-1011	60	11	heterogeneity	heterogeneity	NOUN
cana-1011	60	12	document	document	NOUN
cana-1011	60	13	to	to	PART
cana-1011	60	14	address	address	VERB
cana-1011	60	15	the	the	DET
cana-1011	60	16	limitations	limitation	NOUN
cana-1011	60	17	of	of	ADP
cana-1011	60	18	reference	reference	NOUN
cana-1011	60	19	-	-	PUNCT
cana-1011	60	20	based	base	VERB
cana-1011	60	21	query	query	NOUN
cana-1011	60	22	expansion	expansion	NOUN
cana-1011	60	23	by	by	ADP
cana-1011	60	24	bradshaw	bradshaw	PROPN
cana-1011	60	25	.	.	PUNCT
cana-1011	61	1	the	the	DET
cana-1011	61	2	aim	aim	NOUN
cana-1011	61	3	behind	behind	ADP
cana-1011	61	4	this	this	PRON
cana-1011	61	5	was	be	AUX
cana-1011	61	6	multilingual	multilingual	ADJ
cana-1011	61	7	query	query	NOUN
cana-1011	61	8	extension	extension	NOUN
cana-1011	61	9	,	,	PUNCT
cana-1011	61	10	which	which	PRON
cana-1011	61	11	would	would	AUX
cana-1011	61	12	allow	allow	VERB
cana-1011	61	13	native	native	ADJ
cana-1011	61	14	asians	asians	PROPN
cana-1011	61	15	to	to	PART
cana-1011	61	16	perform	perform	VERB
cana-1011	61	17	the	the	DET
cana-1011	61	18	same	same	ADJ
cana-1011	61	19	search	search	NOUN
cana-1011	61	20	in	in	ADP
cana-1011	61	21	their	their	PRON
cana-1011	61	22	native	native	ADJ
cana-1011	61	23	language	language	NOUN
cana-1011	61	24	.	.	PUNCT
cana-1011	62	1	to	to	PART
cana-1011	62	2	get	get	VERB
cana-1011	62	3	around	around	ADP
cana-1011	62	4	this	this	PRON
cana-1011	62	5	,	,	PUNCT
cana-1011	62	6	chau	chau	NOUN
cana-1011	62	7	and	and	CCONJ
cana-1011	62	8	his	his	PRON
cana-1011	62	9	subordinates	subordinate	NOUN
cana-1011	62	10	provided	provide	VERB
cana-1011	62	11	a	a	DET
cana-1011	62	12	directory	directory	NOUN
cana-1011	62	13	or	or	CCONJ
cana-1011	62	14	structure	structure	NOUN
cana-1011	62	15	of	of	ADP
cana-1011	62	16	concepts	concept	NOUN
cana-1011	62	17	that	that	PRON
cana-1011	62	18	are	be	AUX
cana-1011	62	19	translated	translate	VERB
cana-1011	62	20	into	into	ADP
cana-1011	62	21	the	the	DET
cana-1011	62	22	target	target	NOUN
cana-1011	62	23	language	language	NOUN
cana-1011	62	24	,	,	PUNCT
cana-1011	62	25	allowing	allow	VERB
cana-1011	62	26	the	the	DET
cana-1011	62	27	user	user	NOUN
cana-1011	62	28	to	to	PART
cana-1011	62	29	easily	easily	ADV
cana-1011	62	30	find	find	VERB
cana-1011	62	31	the	the	DET
cana-1011	62	32	information	information	NOUN
cana-1011	62	33	communications	communication	NOUN
cana-1011	62	34	on	on	ADP
cana-1011	62	35	applied	apply	VERB
cana-1011	62	36	nonlinear	nonlinear	ADJ
cana-1011	62	37	analysis	analysis	NOUN
cana-1011	62	38	issn	issn	NOUN
cana-1011	62	39	:	:	PUNCT
cana-1011	62	40	1074	1074	NUM
cana-1011	62	41	-	-	PUNCT
cana-1011	62	42	133x	133x	NUM
cana-1011	62	43	vol	vol	NOUN
cana-1011	62	44	31	31	NUM
cana-1011	62	45	no	no	NOUN
cana-1011	62	46	.	.	PUNCT
cana-1011	63	1	5s	5s	NUM
cana-1011	63	2	(	(	PUNCT
cana-1011	63	3	2024	2024	NUM
cana-1011	63	4	)	)	PUNCT
cana-1011	63	5	170	170	NUM
cana-1011	63	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	63	7	they	they	PRON
cana-1011	63	8	need	need	VERB
cana-1011	63	9	.	.	PUNCT
cana-1011	64	1	after	after	SCONJ
cana-1011	64	2	the	the	DET
cana-1011	64	3	user	user	NOUN
cana-1011	64	4	submits	submit	VERB
cana-1011	64	5	a	a	DET
cana-1011	64	6	query	query	NOUN
cana-1011	64	7	by	by	ADP
cana-1011	64	8	selecting	select	VERB
cana-1011	64	9	the	the	DET
cana-1011	64	10	concept	concept	NOUN
cana-1011	64	11	of	of	ADP
cana-1011	64	12	interest	interest	NOUN
cana-1011	64	13	,	,	PUNCT
cana-1011	64	14	the	the	DET
cana-1011	64	15	system	system	NOUN
cana-1011	64	16	displays	display	VERB
cana-1011	64	17	the	the	DET
cana-1011	64	18	document	document	NOUN
cana-1011	64	19	that	that	PRON
cana-1011	64	20	best	well	ADV
cana-1011	64	21	fits	fit	VERB
cana-1011	64	22	the	the	DET
cana-1011	64	23	concept	concept	NOUN
cana-1011	64	24	category	category	NOUN
cana-1011	64	25	.	.	PUNCT
cana-1011	65	1	eze	eze	PROPN
cana-1011	65	2	et	et	PROPN
cana-1011	65	3	al	al	PROPN
cana-1011	65	4	.	.	PUNCT
cana-1011	66	1	[	[	X
cana-1011	66	2	9	9	NUM
cana-1011	66	3	]	]	PUNCT
cana-1011	66	4	advocated	advocate	VERB
cana-1011	66	5	for	for	ADP
cana-1011	66	6	lis	lis	ADJ
cana-1011	66	7	students	student	NOUN
cana-1011	66	8	at	at	ADP
cana-1011	66	9	the	the	DET
cana-1011	66	10	college	college	PROPN
cana-1011	66	11	of	of	ADP
cana-1011	66	12	nigeria	nigeria	PROPN
cana-1011	66	13	,	,	PUNCT
cana-1011	66	14	nsukka	nsukka	VERB
cana-1011	66	15	to	to	PART
cana-1011	66	16	become	become	VERB
cana-1011	66	17	familiar	familiar	ADJ
cana-1011	66	18	with	with	ADP
cana-1011	66	19	and	and	CCONJ
cana-1011	66	20	make	make	VERB
cana-1011	66	21	use	use	NOUN
cana-1011	66	22	of	of	ADP
cana-1011	66	23	web	web	NOUN
cana-1011	66	24	2.0	2.0	NUM
cana-1011	66	25	applications	application	NOUN
cana-1011	66	26	.	.	PUNCT
cana-1011	67	1	the	the	DET
cana-1011	67	2	most	most	ADV
cana-1011	67	3	popular	popular	ADJ
cana-1011	67	4	web	web	NOUN
cana-1011	67	5	2.0	2.0	NUM
cana-1011	67	6	applications	application	NOUN
cana-1011	67	7	include	include	VERB
cana-1011	67	8	wikis	wiki	NOUN
cana-1011	67	9	,	,	PUNCT
cana-1011	67	10	facebook	facebook	NOUN
cana-1011	67	11	,	,	PUNCT
cana-1011	67	12	and	and	CCONJ
cana-1011	67	13	youtube	youtube	NOUN
cana-1011	67	14	.	.	PUNCT
cana-1011	68	1	these	these	DET
cana-1011	68	2	developments	development	NOUN
cana-1011	68	3	are	be	AUX
cana-1011	68	4	developed	develop	VERB
cana-1011	68	5	so	so	SCONJ
cana-1011	68	6	that	that	SCONJ
cana-1011	68	7	individuals	individual	NOUN
cana-1011	68	8	can	can	AUX
cana-1011	68	9	get	get	VERB
cana-1011	68	10	to	to	PART
cana-1011	68	11	know	know	VERB
cana-1011	68	12	one	one	NUM
cana-1011	68	13	another	another	DET
cana-1011	68	14	,	,	PUNCT
cana-1011	68	15	share	share	VERB
cana-1011	68	16	their	their	PRON
cana-1011	68	17	thoughts	thought	NOUN
cana-1011	68	18	on	on	ADP
cana-1011	68	19	life	life	NOUN
cana-1011	68	20	in	in	ADP
cana-1011	68	21	general	general	ADJ
cana-1011	68	22	,	,	PUNCT
cana-1011	68	23	and	and	CCONJ
cana-1011	68	24	keep	keep	VERB
cana-1011	68	25	in	in	ADP
cana-1011	68	26	touch	touch	NOUN
cana-1011	68	27	with	with	ADP
cana-1011	68	28	friends	friend	NOUN
cana-1011	68	29	and	and	CCONJ
cana-1011	68	30	relatives	relative	NOUN
cana-1011	68	31	.	.	PUNCT
cana-1011	69	1	the	the	DET
cana-1011	69	2	best	good	ADJ
cana-1011	69	3	ways	way	NOUN
cana-1011	69	4	to	to	PART
cana-1011	69	5	learn	learn	VERB
cana-1011	69	6	more	more	ADJ
cana-1011	69	7	about	about	ADP
cana-1011	69	8	web	web	NOUN
cana-1011	69	9	2.0	2.0	NUM
cana-1011	69	10	are	be	AUX
cana-1011	69	11	through	through	ADP
cana-1011	69	12	personal	personal	ADJ
cana-1011	69	13	experience	experience	NOUN
cana-1011	69	14	and	and	CCONJ
cana-1011	69	15	the	the	DET
cana-1011	69	16	guidance	guidance	NOUN
cana-1011	69	17	of	of	ADP
cana-1011	69	18	trusted	trust	VERB
cana-1011	69	19	friends	friend	NOUN
cana-1011	69	20	.	.	PUNCT
cana-1011	70	1	unn	unn	PROPN
cana-1011	70	2	's	's	PART
cana-1011	70	3	lis	li	NOUN
cana-1011	70	4	majors	major	NOUN
cana-1011	70	5	may	may	AUX
cana-1011	70	6	be	be	AUX
cana-1011	70	7	unfamiliar	unfamiliar	ADJ
cana-1011	70	8	with	with	ADP
cana-1011	70	9	rss	rss	NOUN
cana-1011	70	10	feeds	feed	NOUN
cana-1011	70	11	,	,	PUNCT
cana-1011	70	12	podcasts	podcast	NOUN
cana-1011	70	13	as	as	ADV
cana-1011	70	14	well	well	ADV
cana-1011	70	15	as	as	ADP
cana-1011	70	16	and	and	CCONJ
cana-1011	70	17	social	social	ADJ
cana-1011	70	18	bookmarking	bookmarking	NOUN
cana-1011	70	19	tools	tool	NOUN
cana-1011	70	20	,	,	PUNCT
cana-1011	70	21	but	but	CCONJ
cana-1011	70	22	they	they	PRON
cana-1011	70	23	're	be	AUX
cana-1011	70	24	experts	expert	NOUN
cana-1011	70	25	at	at	ADP
cana-1011	70	26	using	use	VERB
cana-1011	70	27	social	social	ADJ
cana-1011	70	28	networking	network	VERB
cana-1011	70	29	sites	site	NOUN
cana-1011	70	30	,	,	PUNCT
cana-1011	70	31	wikis	wiki	NOUN
cana-1011	70	32	,	,	PUNCT
cana-1011	70	33	messaging	messaging	NOUN
cana-1011	70	34	apps	app	NOUN
cana-1011	70	35	,	,	PUNCT
cana-1011	70	36	and	and	CCONJ
cana-1011	70	37	blogs	blog	NOUN
cana-1011	70	38	.	.	PUNCT
cana-1011	71	1	challenges	challenge	NOUN
cana-1011	71	2	and	and	CCONJ
cana-1011	71	3	opportunities	opportunity	NOUN
cana-1011	71	4	for	for	ADP
cana-1011	71	5	a	a	DET
cana-1011	71	6	system	system	NOUN
cana-1011	71	7	for	for	ADP
cana-1011	71	8	collecting	collect	VERB
cana-1011	71	9	blog	blog	NOUN
cana-1011	71	10	data	datum	NOUN
cana-1011	71	11	is	be	AUX
cana-1011	71	12	a	a	DET
cana-1011	71	13	novel	novel	ADJ
cana-1011	71	14	method	method	NOUN
cana-1011	71	15	proposed	propose	VERB
cana-1011	71	16	by	by	ADP
cana-1011	71	17	hussain	hussain	PROPN
cana-1011	71	18	et	et	PROPN
cana-1011	71	19	al	al	PROPN
cana-1011	71	20	.	.	PUNCT
cana-1011	72	1	this	this	DET
cana-1011	72	2	paper	paper	NOUN
cana-1011	72	3	provides	provide	VERB
cana-1011	72	4	an	an	DET
cana-1011	72	5	innovative	innovative	ADJ
cana-1011	72	6	approach	approach	NOUN
cana-1011	72	7	to	to	ADP
cana-1011	72	8	collecting	collect	VERB
cana-1011	72	9	data	datum	NOUN
cana-1011	72	10	from	from	ADP
cana-1011	72	11	blogs	blog	NOUN
cana-1011	72	12	.	.	PUNCT
cana-1011	73	1	in	in	ADP
cana-1011	73	2	this	this	DET
cana-1011	73	3	work	work	NOUN
cana-1011	73	4	,	,	PUNCT
cana-1011	73	5	we	we	PRON
cana-1011	73	6	shed	shed	VERB
cana-1011	73	7	light	light	NOUN
cana-1011	73	8	on	on	ADP
cana-1011	73	9	the	the	DET
cana-1011	73	10	challenges	challenge	NOUN
cana-1011	73	11	involved	involve	VERB
cana-1011	73	12	in	in	ADP
cana-1011	73	13	collecting	collect	VERB
cana-1011	73	14	data	datum	NOUN
cana-1011	73	15	from	from	ADP
cana-1011	73	16	blogs	blog	NOUN
cana-1011	73	17	and	and	CCONJ
cana-1011	73	18	demonstrate	demonstrate	VERB
cana-1011	73	19	the	the	DET
cana-1011	73	20	importance	importance	NOUN
cana-1011	73	21	of	of	ADP
cana-1011	73	22	blog	blog	NOUN
cana-1011	73	23	tracing	trace	VERB
cana-1011	73	24	by	by	ADP
cana-1011	73	25	applying	apply	VERB
cana-1011	73	26	it	it	PRON
cana-1011	73	27	to	to	ADP
cana-1011	73	28	a	a	DET
cana-1011	73	29	real	real	ADJ
cana-1011	73	30	-	-	PUNCT
cana-1011	73	31	world	world	NOUN
cana-1011	73	32	example	example	NOUN
cana-1011	73	33	.	.	PUNCT
cana-1011	74	1	experts	expert	NOUN
cana-1011	74	2	and	and	CCONJ
cana-1011	74	3	scholars	scholar	NOUN
cana-1011	74	4	can	can	AUX
cana-1011	74	5	easily	easily	ADV
cana-1011	74	6	access	access	VERB
cana-1011	74	7	the	the	DET
cana-1011	74	8	blog	blog	NOUN
cana-1011	74	9	datasets	dataset	NOUN
cana-1011	74	10	,	,	PUNCT
cana-1011	74	11	as	as	SCONJ
cana-1011	74	12	the	the	DET
cana-1011	74	13	blog	blog	NOUN
cana-1011	74	14	tracker	tracker	NOUN
cana-1011	74	15	tool	tool	PROPN
cana-1011	74	16	indicates	indicate	VERB
cana-1011	74	17	.	.	PUNCT
cana-1011	75	1	this	this	PRON
cana-1011	75	2	helped	help	VERB
cana-1011	75	3	readers	reader	NOUN
cana-1011	75	4	in	in	ADP
cana-1011	75	5	their	their	PRON
cana-1011	75	6	analysis	analysis	NOUN
cana-1011	75	7	of	of	ADP
cana-1011	75	8	the	the	DET
cana-1011	75	9	structure	structure	NOUN
cana-1011	75	10	and	and	CCONJ
cana-1011	75	11	dynamics	dynamic	NOUN
cana-1011	75	12	of	of	ADP
cana-1011	75	13	the	the	DET
cana-1011	75	14	blog	blog	NOUN
cana-1011	75	15	site	site	NOUN
cana-1011	75	16	,	,	PUNCT
cana-1011	75	17	as	as	ADV
cana-1011	75	18	well	well	ADV
cana-1011	75	19	as	as	ADP
cana-1011	75	20	its	its	PRON
cana-1011	75	21	many	many	ADJ
cana-1011	75	22	noises	noise	NOUN
cana-1011	75	23	and	and	CCONJ
cana-1011	75	24	experiments	experiment	NOUN
cana-1011	75	25	.	.	PUNCT
cana-1011	76	1	we	we	PRON
cana-1011	76	2	implemented	implement	VERB
cana-1011	76	3	an	an	DET
cana-1011	76	4	automated	automate	VERB
cana-1011	76	5	crawling	crawling	NOUN
cana-1011	76	6	system	system	NOUN
cana-1011	76	7	to	to	PART
cana-1011	76	8	overcome	overcome	VERB
cana-1011	76	9	the	the	DET
cana-1011	76	10	challenges	challenge	NOUN
cana-1011	76	11	exhibit	exhibit	VERB
cana-1011	76	12	by	by	ADP
cana-1011	76	13	blog	blog	NOUN
cana-1011	76	14	information	information	NOUN
cana-1011	76	15	and	and	CCONJ
cana-1011	76	16	considerably	considerably	ADV
cana-1011	76	17	boost	boost	VERB
cana-1011	76	18	the	the	DET
cana-1011	76	19	efficiency	efficiency	NOUN
cana-1011	76	20	of	of	ADP
cana-1011	76	21	the	the	DET
cana-1011	76	22	entire	entire	ADJ
cana-1011	76	23	procedure	procedure	NOUN
cana-1011	76	24	based	base	VERB
cana-1011	76	25	on	on	ADP
cana-1011	76	26	data	datum	NOUN
cana-1011	76	27	judgments	judgment	NOUN
cana-1011	76	28	.	.	PUNCT
cana-1011	77	1	free	free	ADJ
cana-1011	77	2	-	-	PUNCT
cana-1011	77	3	form	form	NOUN
cana-1011	77	4	web	web	NOUN
cana-1011	77	5	curation	curation	NOUN
cana-1011	77	6	policies	policy	NOUN
cana-1011	77	7	were	be	AUX
cana-1011	77	8	portrayed	portray	VERB
cana-1011	77	9	by	by	ADP
cana-1011	77	10	kerne	kerne	PROPN
cana-1011	77	11	et	et	PROPN
cana-1011	77	12	al	al	PROPN
cana-1011	77	13	.	.	PUNCT
cana-1011	78	1	[	[	X
cana-1011	78	2	11	11	NUM
cana-1011	78	3	]	]	PUNCT
cana-1011	78	4	as	as	ADP
cana-1011	78	5	creative	creative	ADJ
cana-1011	78	6	methods	method	NOUN
cana-1011	78	7	of	of	ADP
cana-1011	78	8	interacting	interact	VERB
cana-1011	78	9	with	with	ADP
cana-1011	78	10	existing	exist	VERB
cana-1011	78	11	work	work	NOUN
cana-1011	78	12	.	.	PUNCT
cana-1011	79	1	the	the	DET
cana-1011	79	2	students	student	NOUN
cana-1011	79	3	'	'	PART
cana-1011	79	4	commitment	commitment	NOUN
cana-1011	79	5	to	to	ADP
cana-1011	79	6	the	the	DET
cana-1011	79	7	task	task	NOUN
cana-1011	79	8	was	be	AUX
cana-1011	79	9	demonstrated	demonstrate	VERB
cana-1011	79	10	by	by	ADP
cana-1011	79	11	the	the	DET
cana-1011	79	12	addition	addition	NOUN
cana-1011	79	13	of	of	ADP
cana-1011	79	14	experiential	experiential	ADJ
cana-1011	79	15	,	,	PUNCT
cana-1011	79	16	visual	visual	ADJ
cana-1011	79	17	,	,	PUNCT
cana-1011	79	18	and	and	CCONJ
cana-1011	79	19	quantitative	quantitative	ADJ
cana-1011	79	20	data	datum	NOUN
cana-1011	79	21	on	on	ADP
cana-1011	79	22	top	top	NOUN
cana-1011	79	23	of	of	ADP
cana-1011	79	24	the	the	DET
cana-1011	79	25	unstructured	unstructured	ADJ
cana-1011	79	26	web	web	NOUN
cana-1011	79	27	curation	curation	NOUN
cana-1011	79	28	strategy	strategy	NOUN
cana-1011	79	29	,	,	PUNCT
cana-1011	79	30	training	training	NOUN
cana-1011	79	31	,	,	PUNCT
cana-1011	79	32	&	&	CCONJ
cana-1011	79	33	structure	structure	NOUN
cana-1011	79	34	.	.	PUNCT
cana-1011	80	1	in	in	ADP
cana-1011	80	2	this	this	DET
cana-1011	80	3	research	research	NOUN
cana-1011	80	4	,	,	PUNCT
cana-1011	80	5	we	we	PRON
cana-1011	80	6	formalize	formalize	VERB
cana-1011	80	7	a	a	DET
cana-1011	80	8	framework	framework	NOUN
cana-1011	80	9	for	for	ADP
cana-1011	80	10	context	context	NOUN
cana-1011	80	11	-	-	PUNCT
cana-1011	80	12	aware	aware	ADJ
cana-1011	80	13	,	,	PUNCT
cana-1011	80	14	handsoff	handsoff	VERB
cana-1011	80	15	online	online	ADJ
cana-1011	80	16	curation	curation	NOUN
cana-1011	80	17	that	that	PRON
cana-1011	80	18	takes	take	VERB
cana-1011	80	19	into	into	ADP
cana-1011	80	20	account	account	NOUN
cana-1011	80	21	both	both	DET
cana-1011	80	22	space	space	NOUN
cana-1011	80	23	and	and	CCONJ
cana-1011	80	24	emphasis	emphasis	NOUN
cana-1011	80	25	schemes	scheme	NOUN
cana-1011	80	26	.	.	PUNCT
cana-1011	81	1	customers	customer	NOUN
cana-1011	81	2	can	can	AUX
cana-1011	81	3	signify	signify	VERB
cana-1011	81	4	associations	association	NOUN
cana-1011	81	5	,	,	PUNCT
cana-1011	81	6	determine	determine	VERB
cana-1011	81	7	while	while	SCONJ
cana-1011	81	8	interpret	interpret	NOUN
cana-1011	81	9	by	by	ADP
cana-1011	81	10	assembling	assemble	VERB
cana-1011	81	11	self	self	NOUN
cana-1011	81	12	-	-	PUNCT
cana-1011	81	13	made	make	VERB
cana-1011	81	14	and	and	CCONJ
cana-1011	81	15	prepared	prepared	ADJ
cana-1011	81	16	content	content	NOUN
cana-1011	81	17	components	component	NOUN
cana-1011	81	18	,	,	PUNCT
cana-1011	81	19	and	and	CCONJ
cana-1011	81	20	we	we	PRON
cana-1011	81	21	built	build	VERB
cana-1011	81	22	a	a	DET
cana-1011	81	23	freestyle	freestyle	NOUN
cana-1011	81	24	online	online	ADJ
cana-1011	81	25	curation	curation	NOUN
cana-1011	81	26	to	to	PART
cana-1011	81	27	facilitate	facilitate	VERB
cana-1011	81	28	this	this	DET
cana-1011	81	29	process	process	NOUN
cana-1011	81	30	.	.	PUNCT
cana-1011	82	1	you	you	PRON
cana-1011	82	2	can	can	AUX
cana-1011	82	3	use	use	VERB
cana-1011	82	4	these	these	DET
cana-1011	82	5	tactics	tactic	NOUN
cana-1011	82	6	:	:	PUNCT
cana-1011	82	7	write	write	VERB
cana-1011	82	8	,	,	PUNCT
cana-1011	82	9	construct	construct	VERB
cana-1011	82	10	,	,	PUNCT
cana-1011	82	11	gather	gather	VERB
cana-1011	82	12	,	,	PUNCT
cana-1011	82	13	exhibit	exhibit	NOUN
cana-1011	82	14	,	,	PUNCT
cana-1011	82	15	sketch	sketch	NOUN
cana-1011	82	16	,	,	PUNCT
cana-1011	82	17	and	and	CCONJ
cana-1011	82	18	change	change	VERB
cana-1011	82	19	viewpoint	viewpoint	NOUN
cana-1011	82	20	.	.	PUNCT
cana-1011	83	1	librarians	librarian	NOUN
cana-1011	83	2	at	at	ADP
cana-1011	83	3	east	east	PROPN
cana-1011	83	4	azerbaijani	azerbaijani	PROPN
cana-1011	83	5	iranian	iranian	PROPN
cana-1011	83	6	university	university	PROPN
cana-1011	83	7	libraries	library	NOUN
cana-1011	83	8	were	be	AUX
cana-1011	83	9	instructed	instruct	VERB
cana-1011	83	10	by	by	ADP
cana-1011	83	11	pirshahid	pirshahid	PROPN
cana-1011	83	12	et	et	PROPN
cana-1011	83	13	al	al	PROPN
cana-1011	83	14	.	.	PUNCT
cana-1011	84	1	[	[	X
cana-1011	84	2	12	12	NUM
cana-1011	84	3	]	]	PUNCT
cana-1011	84	4	to	to	PART
cana-1011	84	5	determine	determine	VERB
cana-1011	84	6	how	how	SCONJ
cana-1011	84	7	often	often	ADV
cana-1011	84	8	web	web	VERB
cana-1011	84	9	2.0	2.0	NUM
cana-1011	84	10	tools	tool	NOUN
cana-1011	84	11	were	be	AUX
cana-1011	84	12	used	use	VERB
cana-1011	84	13	using	use	VERB
cana-1011	84	14	an	an	DET
cana-1011	84	15	all	all	ADV
cana-1011	84	16	-	-	PUNCT
cana-1011	84	17	encompassing	encompass	VERB
cana-1011	84	18	search	search	NOUN
cana-1011	84	19	.	.	PUNCT
cana-1011	85	1	librarians	librarian	NOUN
cana-1011	85	2	have	have	VERB
cana-1011	85	3	extensive	extensive	ADJ
cana-1011	85	4	experience	experience	NOUN
cana-1011	85	5	using	use	VERB
cana-1011	85	6	web	web	NOUN
cana-1011	85	7	2.0	2.0	NUM
cana-1011	85	8	applications	application	NOUN
cana-1011	85	9	like	like	ADP
cana-1011	85	10	weblogs	weblog	NOUN
cana-1011	85	11	&	&	CCONJ
cana-1011	85	12	wikis	wiki	NOUN
cana-1011	85	13	.	.	PUNCT
cana-1011	86	1	it	it	PRON
cana-1011	86	2	's	be	AUX
cana-1011	86	3	safe	safe	ADJ
cana-1011	86	4	to	to	PART
cana-1011	86	5	assume	assume	VERB
cana-1011	86	6	that	that	SCONJ
cana-1011	86	7	most	most	ADJ
cana-1011	86	8	people	people	NOUN
cana-1011	86	9	use	use	VERB
cana-1011	86	10	web	web	NOUN
cana-1011	86	11	2.0	2.0	NUM
cana-1011	86	12	technologies	technology	NOUN
cana-1011	86	13	for	for	ADP
cana-1011	86	14	fun	fun	NOUN
cana-1011	86	15	,	,	PUNCT
cana-1011	86	16	curiosity	curiosity	NOUN
cana-1011	86	17	,	,	PUNCT
cana-1011	86	18	networking	networking	NOUN
cana-1011	86	19	,	,	PUNCT
cana-1011	86	20	teamwork	teamwork	NOUN
cana-1011	86	21	,	,	PUNCT
cana-1011	86	22	family	family	NOUN
cana-1011	86	23	and	and	CCONJ
cana-1011	86	24	friend	friend	NOUN
cana-1011	86	25	interaction	interaction	NOUN
cana-1011	86	26	,	,	PUNCT
cana-1011	86	27	and	and	CCONJ
cana-1011	86	28	trend	trend	NOUN
cana-1011	86	29	monitoring	monitoring	NOUN
cana-1011	86	30	.	.	PUNCT
cana-1011	87	1	the	the	DET
cana-1011	87	2	librarians	librarian	NOUN
cana-1011	87	3	have	have	AUX
cana-1011	87	4	been	be	AUX
cana-1011	87	5	thinking	think	VERB
cana-1011	87	6	about	about	ADP
cana-1011	87	7	using	use	VERB
cana-1011	87	8	an	an	DET
cana-1011	87	9	efficient	efficient	ADJ
cana-1011	87	10	web	web	NOUN
cana-1011	87	11	2.0	2.0	NUM
cana-1011	87	12	application	application	NOUN
cana-1011	87	13	to	to	PART
cana-1011	87	14	disseminate	disseminate	VERB
cana-1011	87	15	data	datum	NOUN
cana-1011	87	16	about	about	ADP
cana-1011	87	17	the	the	DET
cana-1011	87	18	library	library	NOUN
cana-1011	87	19	's	's	PART
cana-1011	87	20	holdings	holding	NOUN
cana-1011	87	21	.	.	PUNCT
cana-1011	88	1	threatening	threaten	VERB
cana-1011	88	2	the	the	DET
cana-1011	88	3	adoption	adoption	NOUN
cana-1011	88	4	of	of	ADP
cana-1011	88	5	web	web	NOUN
cana-1011	88	6	2.0	2.0	NUM
cana-1011	88	7	by	by	ADP
cana-1011	88	8	libraries	library	NOUN
cana-1011	88	9	include	include	VERB
cana-1011	88	10	important	important	ADJ
cana-1011	88	11	incursions	incursion	NOUN
cana-1011	88	12	like	like	ADP
cana-1011	88	13	a	a	DET
cana-1011	88	14	lack	lack	NOUN
cana-1011	88	15	of	of	ADP
cana-1011	88	16	training	training	NOUN
cana-1011	88	17	,	,	PUNCT
cana-1011	88	18	a	a	DET
cana-1011	88	19	lack	lack	NOUN
cana-1011	88	20	of	of	ADP
cana-1011	88	21	access	access	NOUN
cana-1011	88	22	to	to	ADP
cana-1011	88	23	fast	fast	ADJ
cana-1011	88	24	web	web	NOUN
cana-1011	88	25	,	,	PUNCT
cana-1011	88	26	and	and	CCONJ
cana-1011	88	27	web	web	NOUN
cana-1011	88	28	separation	separation	NOUN
cana-1011	88	29	.	.	PUNCT
cana-1011	89	1	previous	previous	ADJ
cana-1011	89	2	published	publish	VERB
cana-1011	89	3	findings	finding	NOUN
cana-1011	89	4	for	for	ADP
cana-1011	89	5	the	the	DET
cana-1011	89	6	combination	combination	NOUN
cana-1011	89	7	nn	nn	ADJ
cana-1011	89	8	-	-	PUNCT
cana-1011	89	9	hmm	hmm	NOUN
cana-1011	89	10	model	model	NOUN
cana-1011	89	11	were	be	AUX
cana-1011	89	12	surpassed	surpass	VERB
cana-1011	89	13	by	by	ADP
cana-1011	89	14	the	the	DET
cana-1011	89	15	cnn	cnn	PROPN
cana-1011	89	16	work	work	NOUN
cana-1011	89	17	of	of	ADP
cana-1011	89	18	abdel	abdel	PROPN
cana-1011	89	19	-	-	PUNCT
cana-1011	89	20	hamid	hamid	PROPN
cana-1011	89	21	et	et	PROPN
cana-1011	89	22	al	al	PROPN
cana-1011	89	23	.	.	PUNCT
cana-1011	90	1	[	[	X
cana-1011	90	2	13	13	NUM
cana-1011	90	3	]	]	PUNCT
cana-1011	90	4	.	.	PUNCT
cana-1011	91	1	in	in	ADP
cana-1011	91	2	comparison	comparison	NOUN
cana-1011	91	3	to	to	ADP
cana-1011	91	4	continuous	continuous	ADJ
cana-1011	91	5	nns	nn	NOUN
cana-1011	91	6	with	with	ADP
cana-1011	91	7	the	the	DET
cana-1011	91	8	same	same	ADJ
cana-1011	91	9	variety	variety	NOUN
cana-1011	91	10	of	of	ADP
cana-1011	91	11	hidden	hide	VERB
cana-1011	91	12	layers	layer	NOUN
cana-1011	91	13	and	and	CCONJ
cana-1011	91	14	weights	weight	NOUN
cana-1011	91	15	,	,	PUNCT
cana-1011	91	16	relative	relative	ADJ
cana-1011	91	17	errors	error	NOUN
cana-1011	91	18	on	on	ADP
cana-1011	91	19	the	the	DET
cana-1011	91	20	core	core	NOUN
cana-1011	91	21	timit	timit	NOUN
cana-1011	91	22	set	set	VERB
cana-1011	91	23	of	of	ADP
cana-1011	91	24	tests	test	NOUN
cana-1011	91	25	were	be	AUX
cana-1011	91	26	reduced	reduce	VERB
cana-1011	91	27	by	by	ADP
cana-1011	91	28	more	more	ADJ
cana-1011	91	29	than	than	ADP
cana-1011	91	30	10	10	NUM
cana-1011	91	31	%	%	NOUN
cana-1011	91	32	with	with	ADP
cana-1011	91	33	the	the	DET
cana-1011	91	34	help	help	NOUN
cana-1011	91	35	of	of	ADP
cana-1011	91	36	local	local	ADJ
cana-1011	91	37	filtering	filtering	NOUN
cana-1011	91	38	&	&	CCONJ
cana-1011	91	39	max	max	PROPN
cana-1011	91	40	-	-	PUNCT
cana-1011	91	41	pooling	pooling	NOUN
cana-1011	91	42	.	.	PUNCT
cana-1011	92	1	abdel	abdel	PROPN
cana-1011	92	2	-	-	PUNCT
cana-1011	92	3	hamid	hamid	PROPN
cana-1011	92	4	et	et	PROPN
cana-1011	92	5	al	al	PROPN
cana-1011	92	6	.	.	PROPN
cana-1011	92	7	's	's	PART
cana-1011	92	8	study	study	NOUN
cana-1011	92	9	[	[	X
cana-1011	92	10	14	14	NUM
cana-1011	92	11	]	]	PUNCT
cana-1011	92	12	also	also	ADV
cana-1011	92	13	investigated	investigate	VERB
cana-1011	92	14	timefrequency	timefrequency	NOUN
cana-1011	92	15	convolution	convolution	NOUN
cana-1011	92	16	simultaneously	simultaneously	ADV
cana-1011	92	17	.	.	PUNCT
cana-1011	93	1	communications	communication	NOUN
cana-1011	93	2	on	on	ADP
cana-1011	93	3	applied	apply	VERB
cana-1011	93	4	nonlinear	nonlinear	ADJ
cana-1011	93	5	analysis	analysis	NOUN
cana-1011	93	6	issn	issn	NOUN
cana-1011	93	7	:	:	PUNCT
cana-1011	93	8	1074	1074	NUM
cana-1011	93	9	-	-	PUNCT
cana-1011	93	10	133x	133x	NUM
cana-1011	93	11	vol	vol	NOUN
cana-1011	93	12	31	31	NUM
cana-1011	93	13	no	no	NOUN
cana-1011	93	14	.	.	PUNCT
cana-1011	94	1	5s	5s	NUM
cana-1011	94	2	(	(	PUNCT
cana-1011	94	3	2024	2024	NUM
cana-1011	94	4	)	)	PUNCT
cana-1011	94	5	171	171	NUM
cana-1011	94	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	94	7	researchers	researcher	NOUN
cana-1011	94	8	sainath	sainath	PROPN
cana-1011	94	9	et	et	PROPN
cana-1011	94	10	al	al	PROPN
cana-1011	94	11	.	.	PUNCT
cana-1011	95	1	[	[	X
cana-1011	95	2	15	15	NUM
cana-1011	95	3	]	]	PUNCT
cana-1011	95	4	looked	look	VERB
cana-1011	95	5	at	at	ADP
cana-1011	95	6	how	how	SCONJ
cana-1011	95	7	best	good	ADJ
cana-1011	95	8	to	to	PART
cana-1011	95	9	train	train	VERB
cana-1011	95	10	cnns	cnn	NOUN
cana-1011	95	11	to	to	PART
cana-1011	95	12	outperform	outperform	VERB
cana-1011	95	13	dnns	dnn	NOUN
cana-1011	95	14	in	in	ADP
cana-1011	95	15	largevocabulary	largevocabulary	ADJ
cana-1011	95	16	continuous	continuous	ADJ
cana-1011	95	17	voice	voice	NOUN
cana-1011	95	18	recognition	recognition	NOUN
cana-1011	95	19	.	.	PUNCT
cana-1011	96	1	they	they	PRON
cana-1011	96	2	tested	test	VERB
cana-1011	96	3	the	the	DET
cana-1011	96	4	performance	performance	NOUN
cana-1011	96	5	of	of	ADP
cana-1011	96	6	dnns	dnn	NOUN
cana-1011	96	7	and	and	CCONJ
cana-1011	96	8	gmms	gmms	NOUN
cana-1011	96	9	with	with	ADP
cana-1011	96	10	cnns	cnn	NOUN
cana-1011	96	11	'	'	PART
cana-1011	96	12	derived	derive	VERB
cana-1011	96	13	nn	nn	PROPN
cana-1011	96	14	features	feature	NOUN
cana-1011	96	15	on	on	ADP
cana-1011	96	16	several	several	ADJ
cana-1011	96	17	lvcsr	lvcsr	NOUN
cana-1011	96	18	tasks	task	NOUN
cana-1011	96	19	.	.	PUNCT
cana-1011	97	1	the	the	DET
cana-1011	97	2	experiment	experiment	NOUN
cana-1011	97	3	showed	show	VERB
cana-1011	97	4	a	a	DET
cana-1011	97	5	13	13	NUM
cana-1011	97	6	-	-	SYM
cana-1011	97	7	30	30	NUM
cana-1011	97	8	%	%	NOUN
cana-1011	97	9	relative	relative	ADJ
cana-1011	97	10	increase	increase	NOUN
cana-1011	97	11	over	over	ADP
cana-1011	97	12	gmms	gmms	NOUN
cana-1011	97	13	and	and	CCONJ
cana-1011	97	14	a	a	DET
cana-1011	97	15	4	4	NUM
cana-1011	97	16	-	-	SYM
cana-1011	97	17	12	12	NUM
cana-1011	97	18	%	%	NOUN
cana-1011	97	19	relative	relative	ADJ
cana-1011	97	20	increase	increase	NOUN
cana-1011	97	21	over	over	ADP
cana-1011	97	22	dnns	dnn	NOUN
cana-1011	97	23	on	on	ADP
cana-1011	97	24	the	the	DET
cana-1011	97	25	400	400	NUM
cana-1011	97	26	-	-	PUNCT
cana-1011	97	27	hour	hour	NOUN
cana-1011	97	28	broadcast	broadcast	NOUN
cana-1011	97	29	news	news	NOUN
cana-1011	97	30	task	task	NOUN
cana-1011	97	31	and	and	CCONJ
cana-1011	97	32	the	the	DET
cana-1011	97	33	300	300	NUM
cana-1011	97	34	-	-	PUNCT
cana-1011	97	35	hour	hour	NOUN
cana-1011	97	36	switchboard	switchboard	NOUN
cana-1011	97	37	task	task	NOUN
cana-1011	97	38	,	,	PUNCT
cana-1011	97	39	respectively	respectively	ADV
cana-1011	97	40	.	.	PUNCT
cana-1011	98	1	an	an	DET
cana-1011	98	2	experimental	experimental	ADJ
cana-1011	98	3	study	study	NOUN
cana-1011	98	4	of	of	ADP
cana-1011	98	5	cnn	cnn	PROPN
cana-1011	98	6	-	-	PUNCT
cana-1011	98	7	based	base	VERB
cana-1011	98	8	models	model	NOUN
cana-1011	98	9	based	base	VERB
cana-1011	98	10	on	on	ADP
cana-1011	98	11	sounds	sound	NOUN
cana-1011	98	12	for	for	ADP
cana-1011	98	13	low	low	ADJ
cana-1011	98	14	-	-	PUNCT
cana-1011	98	15	resource	resource	NOUN
cana-1011	98	16	languages	language	NOUN
cana-1011	98	17	shows	show	VERB
cana-1011	98	18	that	that	SCONJ
cana-1011	98	19	cnns	cnn	NOUN
cana-1011	98	20	are	be	AUX
cana-1011	98	21	superior	superior	ADJ
cana-1011	98	22	to	to	PART
cana-1011	98	23	dbns	dbns	VERB
cana-1011	98	24	in	in	ADP
cana-1011	98	25	terms	term	NOUN
cana-1011	98	26	of	of	ADP
cana-1011	98	27	durability	durability	NOUN
cana-1011	98	28	and	and	CCONJ
cana-1011	98	29	enhanced	enhance	VERB
cana-1011	98	30	generalization	generalization	NOUN
cana-1011	98	31	[	[	X
cana-1011	98	32	16	16	NUM
cana-1011	98	33	]	]	PUNCT
cana-1011	98	34	.	.	PUNCT
cana-1011	99	1	it	it	PRON
cana-1011	99	2	was	be	AUX
cana-1011	99	3	discovered	discover	VERB
cana-1011	99	4	that	that	SCONJ
cana-1011	99	5	the	the	DET
cana-1011	99	6	work	work	NOUN
cana-1011	99	7	of	of	ADP
cana-1011	99	8	sak	sak	PROPN
cana-1011	99	9	et	et	PROPN
cana-1011	99	10	al	al	PROPN
cana-1011	99	11	.	.	PUNCT
cana-1011	100	1	[	[	X
cana-1011	100	2	17	17	NUM
cana-1011	100	3	]	]	PUNCT
cana-1011	100	4	was	be	AUX
cana-1011	100	5	the	the	DET
cana-1011	100	6	first	first	ADJ
cana-1011	100	7	to	to	PART
cana-1011	100	8	apply	apply	VERB
cana-1011	100	9	lstm	lstm	ADJ
cana-1011	100	10	networks	network	NOUN
cana-1011	100	11	to	to	ADP
cana-1011	100	12	a	a	DET
cana-1011	100	13	google	google	PROPN
cana-1011	100	14	voice	voice	NOUN
cana-1011	100	15	search	search	NOUN
cana-1011	100	16	with	with	ADP
cana-1011	100	17	a	a	DET
cana-1011	100	18	wide	wide	ADJ
cana-1011	100	19	vocabulary	vocabulary	NOUN
cana-1011	100	20	.	.	PUNCT
cana-1011	101	1	they	they	PRON
cana-1011	101	2	introduced	introduce	VERB
cana-1011	101	3	a	a	DET
cana-1011	101	4	model	model	NOUN
cana-1011	101	5	architecture	architecture	NOUN
cana-1011	101	6	for	for	ADP
cana-1011	101	7	lstm	lstm	NOUN
cana-1011	101	8	rnn	rnn	NOUN
cana-1011	101	9	models	model	NOUN
cana-1011	101	10	that	that	PRON
cana-1011	101	11	allows	allow	VERB
cana-1011	101	12	more	more	ADV
cana-1011	101	13	efficient	efficient	ADJ
cana-1011	101	14	use	use	NOUN
cana-1011	101	15	of	of	ADP
cana-1011	101	16	the	the	DET
cana-1011	101	17	model	model	NOUN
cana-1011	101	18	characteristics	characteristic	NOUN
cana-1011	101	19	when	when	SCONJ
cana-1011	101	20	building	build	VERB
cana-1011	101	21	acoustic	acoustic	ADJ
cana-1011	101	22	models	model	NOUN
cana-1011	101	23	for	for	ADP
cana-1011	101	24	applications	application	NOUN
cana-1011	101	25	with	with	ADP
cana-1011	101	26	an	an	DET
cana-1011	101	27	extensive	extensive	ADJ
cana-1011	101	28	vocabulary	vocabulary	NOUN
cana-1011	101	29	.	.	PUNCT
cana-1011	102	1	they	they	PRON
cana-1011	102	2	used	use	VERB
cana-1011	102	3	various	various	ADJ
cana-1011	102	4	parameter	parameter	NOUN
cana-1011	102	5	and	and	CCONJ
cana-1011	102	6	configuration	configuration	NOUN
cana-1011	102	7	numbers	number	NOUN
cana-1011	102	8	to	to	PART
cana-1011	102	9	train	train	VERB
cana-1011	102	10	lstm	lstm	PROPN
cana-1011	102	11	,	,	PUNCT
cana-1011	102	12	rnn	rnn	PROPN
cana-1011	102	13	,	,	PUNCT
cana-1011	102	14	&	&	CCONJ
cana-1011	102	15	dnn	dnn	PROPN
cana-1011	102	16	models	model	NOUN
cana-1011	102	17	and	and	CCONJ
cana-1011	102	18	then	then	ADV
cana-1011	102	19	compared	compare	VERB
cana-1011	102	20	their	their	PRON
cana-1011	102	21	results	result	NOUN
cana-1011	102	22	.	.	PUNCT
cana-1011	103	1	their	their	PRON
cana-1011	103	2	investigation	investigation	NOUN
cana-1011	103	3	demonstrates	demonstrate	VERB
cana-1011	103	4	that	that	SCONJ
cana-1011	103	5	lstm	lstm	NOUN
cana-1011	103	6	models	model	NOUN
cana-1011	103	7	converge	converge	VERB
cana-1011	103	8	rapidly	rapidly	ADV
cana-1011	103	9	and	and	CCONJ
cana-1011	103	10	excel	excel	VERB
cana-1011	103	11	in	in	ADP
cana-1011	103	12	moderately	moderately	ADV
cana-1011	103	13	small	small	ADJ
cana-1011	103	14	-	-	PUNCT
cana-1011	103	15	sized	sized	ADJ
cana-1011	103	16	frameworks	framework	NOUN
cana-1011	103	17	.	.	PUNCT
cana-1011	104	1	for	for	ADP
cana-1011	104	2	robust	robust	ADJ
cana-1011	104	3	voice	voice	NOUN
cana-1011	104	4	detection	detection	NOUN
cana-1011	104	5	in	in	ADP
cana-1011	104	6	a	a	DET
cana-1011	104	7	noisy	noisy	ADJ
cana-1011	104	8	and	and	CCONJ
cana-1011	104	9	reverberant	reverberant	ADJ
cana-1011	104	10	settingin	settingin	VERB
cana-1011	104	11	a	a	DET
cana-1011	104	12	hybrid	hybrid	ADJ
cana-1011	104	13	dynamic	dynamic	ADJ
cana-1011	104	14	modeling	modeling	NOUN
cana-1011	104	15	framework	framework	NOUN
cana-1011	104	16	,	,	PUNCT
cana-1011	104	17	an	an	DET
cana-1011	104	18	lstm	lstm	NOUN
cana-1011	104	19	rnn	rnn	NOUN
cana-1011	104	20	was	be	AUX
cana-1011	104	21	proposed	propose	VERB
cana-1011	104	22	by	by	ADP
cana-1011	104	23	gulbar	gulbar	PROPN
cana-1011	104	24	et	et	PROPN
cana-1011	104	25	al	al	PROPN
cana-1011	104	26	.	.	PUNCT
cana-1011	105	1	[	[	X
cana-1011	105	2	18	18	NUM
cana-1011	105	3	]	]	PUNCT
cana-1011	105	4	.	.	PUNCT
cana-1011	106	1	the	the	DET
cana-1011	106	2	experiment	experiment	NOUN
cana-1011	106	3	employed	employ	VERB
cana-1011	106	4	data	datum	NOUN
cana-1011	106	5	from	from	ADP
cana-1011	106	6	the	the	DET
cana-1011	106	7	second	second	ADJ
cana-1011	106	8	chime	chime	NOUN
cana-1011	106	9	independent	independent	ADJ
cana-1011	106	10	speech	speech	NOUN
cana-1011	106	11	and	and	CCONJ
cana-1011	106	12	recognition	recognition	NOUN
cana-1011	106	13	challenge	challenge	NOUN
cana-1011	106	14	,	,	PUNCT
cana-1011	106	15	namely	namely	ADV
cana-1011	106	16	the	the	DET
cana-1011	106	17	medium	medium	ADJ
cana-1011	106	18	-	-	PUNCT
cana-1011	106	19	vocabulary	vocabulary	ADJ
cana-1011	106	20	recognition	recognition	NOUN
cana-1011	106	21	tracks	track	NOUN
cana-1011	106	22	.	.	PUNCT
cana-1011	107	1	the	the	DET
cana-1011	107	2	authors	author	NOUN
cana-1011	107	3	compared	compare	VERB
cana-1011	107	4	lstm	lstm	PROPN
cana-1011	107	5	network	network	NOUN
cana-1011	107	6	-	-	PUNCT
cana-1011	107	7	based	base	VERB
cana-1011	107	8	phoneme	phoneme	NOUN
cana-1011	107	9	prediction	prediction	NOUN
cana-1011	107	10	networks	network	NOUN
cana-1011	107	11	with	with	ADP
cana-1011	107	12	lstm	lstm	ADJ
cana-1011	107	13	network	network	NOUN
cana-1011	107	14	-	-	PUNCT
cana-1011	107	15	based	base	VERB
cana-1011	107	16	state	state	NOUN
cana-1011	107	17	prediction	prediction	NOUN
cana-1011	107	18	networks	network	NOUN
cana-1011	107	19	.	.	PUNCT
cana-1011	108	1	the	the	DET
cana-1011	108	2	outcome	outcome	NOUN
cana-1011	108	3	demonstrated	demonstrate	VERB
cana-1011	108	4	that	that	SCONJ
cana-1011	108	5	lstms	lstms	NOUN
cana-1011	108	6	excel	excel	VERB
cana-1011	108	7	at	at	ADP
cana-1011	108	8	state	state	NOUN
cana-1011	108	9	prediction	prediction	NOUN
cana-1011	108	10	as	as	SCONJ
cana-1011	108	11	opposed	oppose	VERB
cana-1011	108	12	to	to	PART
cana-1011	108	13	phoneme	phoneme	VERB
cana-1011	108	14	prediction	prediction	NOUN
cana-1011	108	15	via	via	ADP
cana-1011	108	16	networks	network	NOUN
cana-1011	108	17	.	.	PUNCT
cana-1011	109	1	to	to	PART
cana-1011	109	2	undertake	undertake	VERB
cana-1011	109	3	large	large	ADJ
cana-1011	109	4	-	-	PUNCT
cana-1011	109	5	scale	scale	NOUN
cana-1011	109	6	modeling	modeling	NOUN
cana-1011	109	7	,	,	PUNCT
cana-1011	109	8	recent	recent	ADJ
cana-1011	109	9	advances	advance	NOUN
cana-1011	109	10	in	in	ADP
cana-1011	109	11	rnn	rnn	PROPN
cana-1011	109	12	-	-	PUNCT
cana-1011	109	13	hmm	hmm	INTJ
cana-1011	109	14	hybrid	hybrid	ADJ
cana-1011	109	15	systems	system	NOUN
cana-1011	109	16	have	have	AUX
cana-1011	109	17	been	be	AUX
cana-1011	109	18	made	make	VERB
cana-1011	109	19	possible	possible	ADJ
cana-1011	109	20	by	by	ADP
cana-1011	109	21	the	the	DET
cana-1011	109	22	incorporation	incorporation	NOUN
cana-1011	109	23	of	of	ADP
cana-1011	109	24	deep	deep	ADJ
cana-1011	109	25	unidirectional	unidirectional	ADJ
cana-1011	109	26	(	(	PUNCT
cana-1011	109	27	db	db	NOUN
cana-1011	109	28	)	)	PUNCT
cana-1011	109	29	distributed	distribute	VERB
cana-1011	109	30	training	training	NOUN
cana-1011	109	31	methods	method	NOUN
cana-1011	109	32	,	,	PUNCT
cana-1011	109	33	states	state	NOUN
cana-1011	109	34	in	in	ADP
cana-1011	109	35	the	the	DET
cana-1011	109	36	lstm	lstm	ADJ
cana-1011	109	37	input	input	NOUN
cana-1011	109	38	space	space	NOUN
cana-1011	109	39	,	,	PUNCT
cana-1011	109	40	and	and	CCONJ
cana-1011	109	41	lstmbased	lstmbased	ADJ
cana-1011	109	42	models	model	NOUN
cana-1011	109	43	of	of	ADP
cana-1011	109	44	pitch	pitch	NOUN
cana-1011	109	45	for	for	ADP
cana-1011	109	46	cd	cd	NOUN
cana-1011	109	47	phonetic	phonetic	ADJ
cana-1011	109	48	elements	element	NOUN
cana-1011	109	49	[	[	X
cana-1011	109	50	19	19	NUM
cana-1011	109	51	]	]	PUNCT
cana-1011	109	52	.	.	PUNCT
cana-1011	110	1	lstm	lstm	PROPN
cana-1011	110	2	rnn	rnn	PROPN
cana-1011	110	3	has	have	AUX
cana-1011	110	4	been	be	AUX
cana-1011	110	5	the	the	DET
cana-1011	110	6	subject	subject	NOUN
cana-1011	110	7	of	of	ADP
cana-1011	110	8	numerous	numerous	ADJ
cana-1011	110	9	research	research	NOUN
cana-1011	110	10	efforts	effort	NOUN
cana-1011	110	11	.	.	PUNCT
cana-1011	111	1	almost	almost	ADV
cana-1011	111	2	all	all	PRON
cana-1011	111	3	thrilling	thrill	VERB
cana-1011	111	4	outcomes	outcome	NOUN
cana-1011	111	5	generated	generate	VERB
cana-1011	111	6	by	by	ADP
cana-1011	111	7	rnns	rnns	PROPN
cana-1011	111	8	has	have	AUX
cana-1011	111	9	accomplished	accomplish	VERB
cana-1011	111	10	using	use	VERB
cana-1011	111	11	lstm	lstm	NOUN
cana-1011	111	12	.	.	PUNCT
cana-1011	112	1	as	as	ADP
cana-1011	112	2	a	a	DET
cana-1011	112	3	result	result	NOUN
cana-1011	112	4	,	,	PUNCT
cana-1011	112	5	it	it	PRON
cana-1011	112	6	is	be	AUX
cana-1011	112	7	now	now	ADV
cana-1011	112	8	the	the	DET
cana-1011	112	9	epicentre	epicentre	NOUN
cana-1011	112	10	of	of	ADP
cana-1011	112	11	ir	ir	ADJ
cana-1011	112	12	-	-	ADJ
cana-1011	112	13	related	relate	VERB
cana-1011	112	14	deep	deep	ADJ
cana-1011	112	15	learning	learning	NOUN
cana-1011	112	16	[	[	X
cana-1011	112	17	20	20	NUM
cana-1011	112	18	]	]	PUNCT
cana-1011	112	19	.	.	PUNCT
cana-1011	113	1	to	to	ADP
cana-1011	113	2	our	our	PRON
cana-1011	113	3	knowledge	knowledge	NOUN
cana-1011	113	4	,	,	PUNCT
cana-1011	113	5	this	this	PRON
cana-1011	113	6	is	be	AUX
cana-1011	113	7	the	the	DET
cana-1011	113	8	very	very	ADV
cana-1011	113	9	first	first	ADJ
cana-1011	113	10	occasion	occasion	NOUN
cana-1011	113	11	that	that	SCONJ
cana-1011	113	12	an	an	DET
cana-1011	113	13	lstm	lstm	NOUN
cana-1011	113	14	rnn	rnn	VERB
cana-1011	113	15	is	be	AUX
cana-1011	113	16	being	be	AUX
cana-1011	113	17	used	use	VERB
cana-1011	113	18	across	across	ADP
cana-1011	113	19	several	several	ADJ
cana-1011	113	20	search	search	NOUN
cana-1011	113	21	engines	engine	NOUN
cana-1011	113	22	,	,	PUNCT
cana-1011	113	23	but	but	CCONJ
cana-1011	113	24	lstms	lstms	NOUN
cana-1011	113	25	have	have	AUX
cana-1011	113	26	been	be	AUX
cana-1011	113	27	widely	widely	ADV
cana-1011	113	28	used	use	VERB
cana-1011	113	29	in	in	ADP
cana-1011	113	30	ir	ir	PROPN
cana-1011	113	31	jobs	job	NOUN
cana-1011	113	32	due	due	ADP
cana-1011	113	33	to	to	ADP
cana-1011	113	34	their	their	PRON
cana-1011	113	35	strong	strong	ADJ
cana-1011	113	36	learning	learning	NOUN
cana-1011	113	37	ability	ability	NOUN
cana-1011	113	38	[	[	X
cana-1011	113	39	17	17	NUM
cana-1011	113	40	]	]	PUNCT
cana-1011	113	41	,	,	PUNCT
cana-1011	114	1	[	[	X
cana-1011	114	2	22	22	NUM
cana-1011	114	3	]	]	PUNCT
cana-1011	114	4	.	.	PUNCT
cana-1011	115	1	3	3	X
cana-1011	115	2	.	.	X
cana-1011	115	3	methodology	methodology	NOUN
cana-1011	115	4	:	:	PUNCT
cana-1011	115	5	the	the	DET
cana-1011	115	6	rnn	rnn	NOUN
cana-1011	115	7	shall	shall	AUX
cana-1011	115	8	be	be	AUX
cana-1011	115	9	presented	present	VERB
cana-1011	115	10	first	first	ADV
cana-1011	115	11	,	,	PUNCT
cana-1011	115	12	followed	follow	VERB
cana-1011	115	13	by	by	ADP
cana-1011	115	14	a	a	DET
cana-1011	115	15	discussion	discussion	NOUN
cana-1011	115	16	of	of	ADP
cana-1011	115	17	the	the	DET
cana-1011	115	18	lstm	lstm	NOUN
cana-1011	115	19	,	,	PUNCT
cana-1011	115	20	in	in	ADP
cana-1011	115	21	this	this	DET
cana-1011	115	22	section	section	NOUN
cana-1011	115	23	.	.	PUNCT
cana-1011	116	1	finally	finally	ADV
cana-1011	116	2	,	,	PUNCT
cana-1011	116	3	we	we	PRON
cana-1011	116	4	'll	will	AUX
cana-1011	116	5	look	look	VERB
cana-1011	116	6	into	into	ADP
cana-1011	116	7	the	the	DET
cana-1011	116	8	hybrid	hybrid	ADJ
cana-1011	116	9	lstm	lstm	NOUN
cana-1011	116	10	-	-	PUNCT
cana-1011	116	11	rnn	rnn	PROPN
cana-1011	116	12	.	.	PUNCT
cana-1011	117	1	3.1	3.1	NUM
cana-1011	117	2	recurrent	recurrent	ADJ
cana-1011	117	3	neural	neural	ADJ
cana-1011	117	4	network(rnn	network(rnn	NOUN
cana-1011	117	5	)	)	PUNCT
cana-1011	117	6	rnns	rnn	NOUN
cana-1011	117	7	are	be	AUX
cana-1011	117	8	an	an	DET
cana-1011	117	9	artificial	artificial	ADJ
cana-1011	117	10	neural	neural	ADJ
cana-1011	117	11	network	network	NOUN
cana-1011	117	12	subset	subset	NOUN
cana-1011	117	13	.	.	PUNCT
cana-1011	118	1	the	the	DET
cana-1011	118	2	same	same	ADJ
cana-1011	118	3	three	three	NUM
cana-1011	118	4	layers	layer	NOUN
cana-1011	118	5	—	—	PUNCT
cana-1011	118	6	input	input	NOUN
cana-1011	118	7	,	,	PUNCT
cana-1011	118	8	hidden	hide	VERB
cana-1011	118	9	,	,	PUNCT
cana-1011	118	10	and	and	CCONJ
cana-1011	118	11	output	output	NOUN
cana-1011	118	12	—	—	PUNCT
cana-1011	118	13	exists	exist	VERB
cana-1011	118	14	.	.	PUNCT
cana-1011	119	1	figure	figure	NOUN
cana-1011	119	2	2	2	NUM
cana-1011	119	3	depicts	depict	VERB
cana-1011	119	4	the	the	DET
cana-1011	119	5	general	general	ADJ
cana-1011	119	6	layout	layout	NOUN
cana-1011	119	7	of	of	ADP
cana-1011	119	8	an	an	DET
cana-1011	119	9	rnn	rnn	NOUN
cana-1011	119	10	model	model	NOUN
cana-1011	119	11	.	.	PUNCT
cana-1011	120	1	nodes	node	NOUN
cana-1011	120	2	in	in	ADP
cana-1011	120	3	a	a	DET
cana-1011	120	4	conventional	conventional	ADJ
cana-1011	120	5	feed	feed	NOUN
cana-1011	120	6	forward	forward	ADV
cana-1011	120	7	nn	nn	PROPN
cana-1011	120	8	are	be	AUX
cana-1011	120	9	not	not	PART
cana-1011	120	10	connected	connect	VERB
cana-1011	120	11	to	to	ADP
cana-1011	120	12	one	one	NUM
cana-1011	120	13	another	another	PRON
cana-1011	120	14	if	if	SCONJ
cana-1011	120	15	they	they	PRON
cana-1011	120	16	are	be	AUX
cana-1011	120	17	located	locate	VERB
cana-1011	120	18	on	on	ADP
cana-1011	120	19	the	the	DET
cana-1011	120	20	same	same	ADJ
cana-1011	120	21	secret	secret	ADJ
cana-1011	120	22	layer	layer	NOUN
cana-1011	120	23	.	.	PUNCT
cana-1011	121	1	the	the	DET
cana-1011	121	2	rnn	rnn	PROPN
cana-1011	121	3	,	,	PUNCT
cana-1011	121	4	on	on	ADP
cana-1011	121	5	the	the	DET
cana-1011	121	6	other	other	ADJ
cana-1011	121	7	hand	hand	NOUN
cana-1011	121	8	,	,	PUNCT
cana-1011	121	9	has	have	VERB
cana-1011	121	10	connections	connection	NOUN
cana-1011	121	11	between	between	ADP
cana-1011	121	12	each	each	DET
cana-1011	121	13	node	node	NOUN
cana-1011	121	14	in	in	ADP
cana-1011	121	15	a	a	DET
cana-1011	121	16	single	single	ADJ
cana-1011	121	17	hidden	hide	VERB
cana-1011	121	18	layer	layer	NOUN
cana-1011	121	19	.	.	PUNCT
cana-1011	122	1	rnns	rnn	NOUN
cana-1011	122	2	are	be	AUX
cana-1011	122	3	unique	unique	ADJ
cana-1011	122	4	in	in	SCONJ
cana-1011	122	5	that	that	SCONJ
cana-1011	122	6	they	they	PRON
cana-1011	122	7	can	can	AUX
cana-1011	122	8	efficiently	efficiently	ADV
cana-1011	122	9	learn	learn	VERB
cana-1011	122	10	time	time	NOUN
cana-1011	122	11	series	series	PROPN
cana-1011	122	12	data	datum	NOUN
cana-1011	122	13	by	by	ADP
cana-1011	122	14	incorporating	incorporate	VERB
cana-1011	122	15	previously	previously	ADV
cana-1011	122	16	acquired	acquire	VERB
cana-1011	122	17	information	information	NOUN
cana-1011	122	18	into	into	ADP
cana-1011	122	19	the	the	DET
cana-1011	122	20	current	current	ADJ
cana-1011	122	21	covert	covert	ADJ
cana-1011	122	22	layer	layer	NOUN
cana-1011	122	23	's	's	PART
cana-1011	122	24	learning	learning	NOUN
cana-1011	122	25	process	process	NOUN
cana-1011	122	26	.	.	PUNCT
cana-1011	123	1	one	one	NUM
cana-1011	123	2	node	node	PROPN
cana-1011	123	3	gt	gt	PROPN
cana-1011	123	4	's	's	PART
cana-1011	123	5	mapping	mapping	NOUN
cana-1011	123	6	will	will	AUX
cana-1011	123	7	be	be	AUX
cana-1011	123	8	written	write	VERB
cana-1011	123	9	as	as	ADP
cana-1011	123	10	:	:	PUNCT
cana-1011	123	11	gt	gt	PROPN
cana-1011	123	12	=	=	SYM
cana-1011	123	13	f	f	PROPN
cana-1011	123	14	(	(	PUNCT
cana-1011	123	15	uxt	uxt	NOUN
cana-1011	123	16	+	+	CCONJ
cana-1011	123	17	wgt−1	wgt−1	PROPN
cana-1011	123	18	)	)	PUNCT
cana-1011	123	19	(	(	PUNCT
cana-1011	123	20	1	1	X
cana-1011	123	21	)	)	PUNCT
cana-1011	123	22	communications	communication	NOUN
cana-1011	123	23	on	on	ADP
cana-1011	123	24	applied	apply	VERB
cana-1011	123	25	nonlinear	nonlinear	ADJ
cana-1011	123	26	analysis	analysis	NOUN
cana-1011	123	27	issn	issn	NOUN
cana-1011	123	28	:	:	PUNCT
cana-1011	123	29	1074	1074	NUM
cana-1011	123	30	-	-	PUNCT
cana-1011	123	31	133x	133x	NUM
cana-1011	123	32	vol	vol	NOUN
cana-1011	123	33	31	31	NUM
cana-1011	123	34	no	no	NOUN
cana-1011	123	35	.	.	PUNCT
cana-1011	124	1	5s	5s	NUM
cana-1011	124	2	(	(	PUNCT
cana-1011	124	3	2024	2024	NUM
cana-1011	124	4	)	)	PUNCT
cana-1011	124	5	172	172	NUM
cana-1011	124	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	124	7	where	where	SCONJ
cana-1011	124	8	xt	xt	PROPN
cana-1011	124	9	is	be	AUX
cana-1011	124	10	the	the	DET
cana-1011	124	11	current	current	ADJ
cana-1011	124	12	input	input	NOUN
cana-1011	124	13	,	,	PUNCT
cana-1011	124	14	gt	gt	PROPN
cana-1011	124	15	is	be	AUX
cana-1011	124	16	the	the	DET
cana-1011	124	17	current	current	ADJ
cana-1011	124	18	hidden	hide	VERB
cana-1011	124	19	state	state	NOUN
cana-1011	124	20	,	,	PUNCT
cana-1011	124	21	and	and	CCONJ
cana-1011	124	22	r	r	NOUN
cana-1011	124	23	is	be	AUX
cana-1011	124	24	the	the	DET
cana-1011	124	25	network	network	NOUN
cana-1011	124	26	's	's	PART
cana-1011	124	27	memory	memory	NOUN
cana-1011	124	28	unit	unit	NOUN
cana-1011	124	29	;	;	PUNCT
cana-1011	124	30	the	the	DET
cana-1011	124	31	nonlinear	nonlinear	ADJ
cana-1011	124	32	function	function	NOUN
cana-1011	124	33	is	be	AUX
cana-1011	124	34	denoted	denote	VERB
cana-1011	124	35	by	by	ADP
cana-1011	124	36	f	f	PROPN
cana-1011	124	37	(	(	PUNCT
cana-1011	124	38	•	•	NOUN
cana-1011	124	39	)	)	PUNCT
cana-1011	124	40	,	,	PUNCT
cana-1011	124	41	and	and	CCONJ
cana-1011	124	42	the	the	DET
cana-1011	124	43	shared	share	VERB
cana-1011	124	44	parameters	parameter	NOUN
cana-1011	124	45	w	w	PROPN
cana-1011	124	46	&	&	CCONJ
cana-1011	124	47	u	u	PROPN
cana-1011	124	48	were	be	AUX
cana-1011	124	49	used	use	VERB
cana-1011	124	50	in	in	ADP
cana-1011	124	51	each	each	DET
cana-1011	124	52	layer	layer	NOUN
cana-1011	124	53	.	.	PUNCT
cana-1011	125	1	figure2	figure2	PROPN
cana-1011	126	1	.the	.the	DET
cana-1011	126	2	structure	structure	NOUN
cana-1011	126	3	of	of	ADP
cana-1011	126	4	the	the	DET
cana-1011	126	5	typical	typical	ADJ
cana-1011	126	6	rnn	rnn	PROPN
cana-1011	126	7	model	model	NOUN
cana-1011	126	8	the	the	DET
cana-1011	126	9	rnn	rnn	NOUN
cana-1011	126	10	can	can	AUX
cana-1011	126	11	be	be	AUX
cana-1011	126	12	thought	think	VERB
cana-1011	126	13	of	of	ADP
cana-1011	126	14	as	as	ADP
cana-1011	126	15	an	an	DET
cana-1011	126	16	ordered	order	VERB
cana-1011	126	17	graph	graph	NOUN
cana-1011	126	18	along	along	ADP
cana-1011	126	19	a	a	DET
cana-1011	126	20	sequence	sequence	NOUN
cana-1011	126	21	,	,	PUNCT
cana-1011	126	22	formed	form	VERB
cana-1011	126	23	by	by	ADP
cana-1011	126	24	the	the	DET
cana-1011	126	25	links	link	NOUN
cana-1011	126	26	between	between	ADP
cana-1011	126	27	its	its	PRON
cana-1011	126	28	nodes	node	NOUN
cana-1011	126	29	.	.	PUNCT
cana-1011	127	1	because	because	SCONJ
cana-1011	127	2	of	of	ADP
cana-1011	127	3	this	this	PRON
cana-1011	127	4	,	,	PUNCT
cana-1011	127	5	it	it	PRON
cana-1011	127	6	is	be	AUX
cana-1011	127	7	able	able	ADJ
cana-1011	127	8	to	to	PART
cana-1011	127	9	display	display	VERB
cana-1011	127	10	dynamic	dynamic	ADJ
cana-1011	127	11	temporal	temporal	ADJ
cana-1011	127	12	behaviour	behaviour	NOUN
cana-1011	127	13	for	for	ADP
cana-1011	127	14	a	a	DET
cana-1011	127	15	given	give	VERB
cana-1011	127	16	time	time	NOUN
cana-1011	127	17	sequence	sequence	NOUN
cana-1011	127	18	.	.	PUNCT
cana-1011	128	1	rnns	rnns	PROPN
cana-1011	128	2	have	have	VERB
cana-1011	128	3	the	the	DET
cana-1011	128	4	ability	ability	NOUN
cana-1011	128	5	to	to	PART
cana-1011	128	6	remember	remember	VERB
cana-1011	128	7	previous	previous	ADJ
cana-1011	128	8	inputs	input	NOUN
cana-1011	128	9	,	,	PUNCT
cana-1011	128	10	which	which	PRON
cana-1011	128	11	feed	feed	VERB
cana-1011	128	12	forward	forward	ADV
cana-1011	128	13	neural	neural	ADJ
cana-1011	128	14	networks	network	NOUN
cana-1011	128	15	lack	lack	VERB
cana-1011	128	16	.	.	PUNCT
cana-1011	129	1	in	in	ADP
cana-1011	129	2	theory	theory	NOUN
cana-1011	129	3	,	,	PUNCT
cana-1011	129	4	an	an	DET
cana-1011	129	5	rnn	rnn	NOUN
cana-1011	129	6	can	can	AUX
cana-1011	129	7	be	be	AUX
cana-1011	129	8	used	use	VERB
cana-1011	129	9	to	to	PART
cana-1011	129	10	make	make	VERB
cana-1011	129	11	accurate	accurate	ADJ
cana-1011	129	12	predictions	prediction	NOUN
cana-1011	129	13	by	by	ADP
cana-1011	129	14	analysing	analyse	VERB
cana-1011	129	15	historical	historical	ADJ
cana-1011	129	16	data	datum	NOUN
cana-1011	129	17	.	.	PUNCT
cana-1011	130	1	unfortunately	unfortunately	ADV
cana-1011	130	2	,	,	PUNCT
cana-1011	130	3	the	the	DET
cana-1011	130	4	rnn	rnn	PROPN
cana-1011	130	5	's	's	PART
cana-1011	130	6	predicted	predict	VERB
cana-1011	130	7	results	result	NOUN
cana-1011	130	8	are	be	AUX
cana-1011	130	9	not	not	PART
cana-1011	130	10	always	always	ADV
cana-1011	130	11	satisfactory	satisfactory	ADJ
cana-1011	130	12	in	in	ADP
cana-1011	130	13	real	real	ADJ
cana-1011	130	14	-	-	PUNCT
cana-1011	130	15	world	world	NOUN
cana-1011	130	16	contexts	context	NOUN
cana-1011	130	17	due	due	ADP
cana-1011	130	18	to	to	ADP
cana-1011	130	19	its	its	PRON
cana-1011	130	20	inability	inability	NOUN
cana-1011	130	21	to	to	PART
cana-1011	130	22	effectively	effectively	ADV
cana-1011	130	23	memorise	memorise	VERB
cana-1011	130	24	the	the	DET
cana-1011	130	25	preceding	precede	VERB
cana-1011	130	26	information	information	NOUN
cana-1011	130	27	when	when	SCONJ
cana-1011	130	28	the	the	DET
cana-1011	130	29	time	time	NOUN
cana-1011	130	30	gap	gap	NOUN
cana-1011	130	31	between	between	ADP
cana-1011	130	32	it	it	PRON
cana-1011	130	33	and	and	CCONJ
cana-1011	130	34	the	the	DET
cana-1011	130	35	present	present	ADJ
cana-1011	130	36	forecast	forecast	NOUN
cana-1011	130	37	position	position	NOUN
cana-1011	130	38	is	be	AUX
cana-1011	130	39	large	large	ADJ
cana-1011	130	40	and	and	CCONJ
cana-1011	130	41	the	the	DET
cana-1011	130	42	issue	issue	NOUN
cana-1011	130	43	of	of	ADP
cana-1011	130	44	vanishing	vanish	VERB
cana-1011	130	45	gradients	gradient	NOUN
cana-1011	130	46	continues	continue	VERB
cana-1011	130	47	.	.	PUNCT
cana-1011	131	1	recently	recently	ADV
cana-1011	131	2	,	,	PUNCT
cana-1011	131	3	a	a	DET
cana-1011	131	4	network	network	NOUN
cana-1011	131	5	called	call	VERB
cana-1011	131	6	lstm	lstm	NOUN
cana-1011	131	7	was	be	AUX
cana-1011	131	8	proposed	propose	VERB
cana-1011	131	9	to	to	PART
cana-1011	131	10	improve	improve	VERB
cana-1011	131	11	the	the	DET
cana-1011	131	12	rnn	rnn	PROPN
cana-1011	131	13	's	's	PART
cana-1011	131	14	performance	performance	NOUN
cana-1011	131	15	by	by	ADP
cana-1011	131	16	addressing	address	VERB
cana-1011	131	17	this	this	DET
cana-1011	131	18	drawbacks	drawback	NOUN
cana-1011	131	19	.	.	PUNCT
cana-1011	132	1	3.2	3.2	NUM
cana-1011	132	2	long	long	ADJ
cana-1011	132	3	-	-	PUNCT
cana-1011	132	4	short	short	ADJ
cana-1011	132	5	-	-	PUNCT
cana-1011	132	6	term	term	NOUN
cana-1011	132	7	memory	memory	NOUN
cana-1011	132	8	network	network	NOUN
cana-1011	132	9	a	a	DET
cana-1011	132	10	long	long	ADJ
cana-1011	132	11	short	short	ADJ
cana-1011	132	12	-	-	PUNCT
cana-1011	132	13	term	term	NOUN
cana-1011	132	14	memory	memory	NOUN
cana-1011	132	15	network	network	NOUN
cana-1011	132	16	(	(	PUNCT
cana-1011	132	17	lstm	lstm	PROPN
cana-1011	132	18	)	)	PUNCT
cana-1011	132	19	is	be	AUX
cana-1011	132	20	a	a	DET
cana-1011	132	21	type	type	NOUN
cana-1011	132	22	of	of	ADP
cana-1011	132	23	rnn	rnn	NOUN
cana-1011	132	24	that	that	PRON
cana-1011	132	25	uses	use	VERB
cana-1011	132	26	lstm	lstm	ADJ
cana-1011	132	27	units	unit	NOUN
cana-1011	132	28	[	[	X
cana-1011	132	29	22	22	NUM
cana-1011	132	30	,	,	PUNCT
cana-1011	132	31	23	23	NUM
cana-1011	132	32	]	]	PUNCT
cana-1011	132	33	.	.	PUNCT
cana-1011	133	1	in	in	ADP
cana-1011	133	2	figure	figure	NOUN
cana-1011	133	3	3	3	NUM
cana-1011	133	4	we	we	PRON
cana-1011	133	5	see	see	VERB
cana-1011	133	6	the	the	DET
cana-1011	133	7	basic	basic	ADJ
cana-1011	133	8	structure	structure	NOUN
cana-1011	133	9	of	of	ADP
cana-1011	133	10	the	the	DET
cana-1011	133	11	lstm	lstm	PROPN
cana-1011	133	12	unit	unit	NOUN
cana-1011	133	13	.	.	PUNCT
cana-1011	134	1	this	this	DET
cana-1011	134	2	diagram	diagram	NOUN
cana-1011	134	3	depicts	depict	VERB
cana-1011	134	4	the	the	DET
cana-1011	134	5	standard	standard	ADJ
cana-1011	134	6	components	component	NOUN
cana-1011	134	7	of	of	ADP
cana-1011	134	8	an	an	DET
cana-1011	134	9	lstm	lstm	ADJ
cana-1011	134	10	unit	unit	NOUN
cana-1011	134	11	,	,	PUNCT
cana-1011	134	12	which	which	PRON
cana-1011	134	13	include	include	VERB
cana-1011	134	14	a	a	DET
cana-1011	134	15	cell	cell	NOUN
cana-1011	134	16	,	,	PUNCT
cana-1011	134	17	input	input	NOUN
cana-1011	134	18	gate	gate	NOUN
cana-1011	134	19	,	,	PUNCT
cana-1011	134	20	output	output	NOUN
cana-1011	134	21	gate	gate	NOUN
cana-1011	134	22	,	,	PUNCT
cana-1011	134	23	and	and	CCONJ
cana-1011	134	24	forget	forget	VERB
cana-1011	134	25	gate	gate	NOUN
cana-1011	134	26	.	.	PUNCT
cana-1011	135	1	the	the	DET
cana-1011	135	2	lstm	lstm	PROPN
cana-1011	135	3	's	's	PART
cana-1011	135	4	"	"	PUNCT
cana-1011	135	5	memory	memory	NOUN
cana-1011	135	6	,	,	PUNCT
cana-1011	135	7	"	"	PUNCT
cana-1011	135	8	or	or	CCONJ
cana-1011	135	9	"	"	PUNCT
cana-1011	135	10	cell	cell	NOUN
cana-1011	135	11	,	,	PUNCT
cana-1011	135	12	"	"	PUNCT
cana-1011	135	13	is	be	AUX
cana-1011	135	14	what	what	PRON
cana-1011	135	15	keeps	keep	VERB
cana-1011	135	16	track	track	NOUN
cana-1011	135	17	of	of	ADP
cana-1011	135	18	data	datum	NOUN
cana-1011	135	19	over	over	ADP
cana-1011	135	20	long	long	ADJ
cana-1011	135	21	periods	period	NOUN
cana-1011	135	22	of	of	ADP
cana-1011	135	23	time	time	NOUN
cana-1011	135	24	.	.	PUNCT
cana-1011	136	1	for	for	ADP
cana-1011	136	2	lstm	lstm	PROPN
cana-1011	136	3	,	,	PUNCT
cana-1011	136	4	the	the	DET
cana-1011	136	5	input	input	NOUN
cana-1011	136	6	is	be	AUX
cana-1011	136	7	a	a	DET
cana-1011	136	8	vector	vector	NOUN
cana-1011	136	9	and	and	CCONJ
cana-1011	136	10	the	the	DET
cana-1011	136	11	output	output	NOUN
cana-1011	136	12	can	can	AUX
cana-1011	136	13	be	be	AUX
cana-1011	136	14	either	either	CCONJ
cana-1011	136	15	0	0	NUM
cana-1011	136	16	or	or	CCONJ
cana-1011	136	17	1	1	NUM
cana-1011	136	18	.	.	PUNCT
cana-1011	137	1	this	this	PRON
cana-1011	137	2	is	be	AUX
cana-1011	137	3	the	the	DET
cana-1011	137	4	"	"	PUNCT
cana-1011	137	5	gate	gate	NOUN
cana-1011	137	6	"	"	PUNCT
cana-1011	137	7	of	of	ADP
cana-1011	137	8	the	the	DET
cana-1011	137	9	network	network	NOUN
cana-1011	137	10	.	.	PUNCT
cana-1011	138	1	no	no	DET
cana-1011	138	2	data	data	NOUN
cana-1011	138	3	is	be	AUX
cana-1011	138	4	transmitted	transmit	VERB
cana-1011	138	5	when	when	SCONJ
cana-1011	138	6	the	the	DET
cana-1011	138	7	resultant	resultant	NOUN
cana-1011	138	8	value	value	NOUN
cana-1011	138	9	is	be	AUX
cana-1011	138	10	0	0	NUM
cana-1011	138	11	.	.	PUNCT
cana-1011	139	1	when	when	SCONJ
cana-1011	139	2	the	the	DET
cana-1011	139	3	resultant	resultant	NOUN
cana-1011	139	4	value	value	NOUN
cana-1011	139	5	is	be	AUX
cana-1011	139	6	1	1	NUM
cana-1011	139	7	,	,	PUNCT
cana-1011	139	8	no	no	DET
cana-1011	139	9	data	datum	NOUN
cana-1011	139	10	is	be	AUX
cana-1011	139	11	blocked	block	VERB
cana-1011	139	12	from	from	ADP
cana-1011	139	13	being	be	AUX
cana-1011	139	14	transmitted	transmit	VERB
cana-1011	139	15	.	.	PUNCT
cana-1011	140	1	figure	figure	NOUN
cana-1011	140	2	3	3	NUM
cana-1011	140	3	.	.	PUNCT
cana-1011	141	1	the	the	DET
cana-1011	141	2	structure	structure	NOUN
cana-1011	141	3	of	of	ADP
cana-1011	141	4	the	the	DET
cana-1011	141	5	lstm	lstm	PROPN
cana-1011	141	6	unit	unit	NOUN
cana-1011	141	7	communications	communication	NOUN
cana-1011	141	8	on	on	ADP
cana-1011	141	9	applied	apply	VERB
cana-1011	141	10	nonlinear	nonlinear	ADJ
cana-1011	141	11	analysis	analysis	NOUN
cana-1011	141	12	issn	issn	NOUN
cana-1011	141	13	:	:	PUNCT
cana-1011	141	14	1074	1074	NUM
cana-1011	141	15	-	-	PUNCT
cana-1011	141	16	133x	133x	NUM
cana-1011	141	17	vol	vol	NOUN
cana-1011	141	18	31	31	NUM
cana-1011	141	19	no	no	NOUN
cana-1011	141	20	.	.	PUNCT
cana-1011	142	1	5s	5s	NUM
cana-1011	142	2	(	(	PUNCT
cana-1011	142	3	2024	2024	NUM
cana-1011	142	4	)	)	PUNCT
cana-1011	142	5	173	173	NUM
cana-1011	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	143	1	in	in	ADP
cana-1011	143	2	order	order	NOUN
cana-1011	143	3	to	to	PART
cana-1011	143	4	overcome	overcome	VERB
cana-1011	143	5	the	the	DET
cana-1011	143	6	gradient	gradient	ADJ
cana-1011	143	7	problem	problem	NOUN
cana-1011	143	8	prevalent	prevalent	ADJ
cana-1011	143	9	in	in	ADP
cana-1011	143	10	very	very	ADV
cana-1011	143	11	large	large	ADJ
cana-1011	143	12	networks	network	NOUN
cana-1011	143	13	,	,	PUNCT
cana-1011	143	14	lstm	lstm	ADJ
cana-1011	143	15	rnns	rnn	NOUN
cana-1011	143	16	were	be	AUX
cana-1011	143	17	developed	develop	VERB
cana-1011	143	18	.	.	PUNCT
cana-1011	144	1	in	in	ADP
cana-1011	144	2	addition	addition	NOUN
cana-1011	144	3	,	,	PUNCT
cana-1011	144	4	lstm	lstm	NOUN
cana-1011	144	5	can	can	AUX
cana-1011	144	6	gracefully	gracefully	ADV
cana-1011	144	7	deal	deal	VERB
cana-1011	144	8	with	with	ADP
cana-1011	144	9	long	long	ADJ
cana-1011	144	10	-	-	PUNCT
cana-1011	144	11	term	term	NOUN
cana-1011	144	12	distance	distance	NOUN
cana-1011	144	13	dependencies	dependency	NOUN
cana-1011	144	14	inside	inside	ADP
cana-1011	144	15	a	a	DET
cana-1011	144	16	specified	specified	ADJ
cana-1011	144	17	sequence	sequence	NOUN
cana-1011	144	18	.	.	PUNCT
cana-1011	145	1	these	these	DET
cana-1011	145	2	features	feature	NOUN
cana-1011	145	3	of	of	ADP
cana-1011	145	4	lstm	lstm	NOUN
cana-1011	145	5	justify	justify	VERB
cana-1011	145	6	its	its	PRON
cana-1011	145	7	deployment	deployment	NOUN
cana-1011	145	8	in	in	ADP
cana-1011	145	9	ir	ir	PROPN
cana-1011	145	10	applications	application	NOUN
cana-1011	145	11	involving	involve	VERB
cana-1011	145	12	the	the	DET
cana-1011	145	13	sequential	sequential	ADJ
cana-1011	145	14	representation	representation	NOUN
cana-1011	145	15	of	of	ADP
cana-1011	145	16	sentences	sentence	NOUN
cana-1011	145	17	and	and	CCONJ
cana-1011	145	18	textual	textual	ADJ
cana-1011	145	19	materials	material	NOUN
cana-1011	145	20	.	.	PUNCT
cana-1011	146	1	with	with	ADP
cana-1011	146	2	lstm	lstm	PROPN
cana-1011	146	3	,	,	PUNCT
cana-1011	146	4	you	you	PRON
cana-1011	146	5	can	can	AUX
cana-1011	146	6	remenber	remenber	VERB
cana-1011	146	7	only	only	ADV
cana-1011	146	8	the	the	DET
cana-1011	146	9	steps	step	NOUN
cana-1011	146	10	that	that	PRON
cana-1011	146	11	are	be	AUX
cana-1011	146	12	actually	actually	ADV
cana-1011	146	13	useful	useful	ADJ
cana-1011	146	14	.	.	PUNCT
cana-1011	147	1	various	various	ADJ
cana-1011	147	2	types	type	NOUN
cana-1011	147	3	of	of	ADP
cana-1011	147	4	gates	gate	NOUN
cana-1011	147	5	in	in	ADP
cana-1011	147	6	the	the	DET
cana-1011	147	7	network	network	NOUN
cana-1011	147	8	make	make	VERB
cana-1011	147	9	the	the	DET
cana-1011	147	10	call	call	NOUN
cana-1011	147	11	regarding	regard	VERB
cana-1011	147	12	what	what	PRON
cana-1011	147	13	information	information	NOUN
cana-1011	147	14	(	(	PUNCT
cana-1011	147	15	the	the	DET
cana-1011	147	16	current	current	ADJ
cana-1011	147	17	input	input	NOUN
cana-1011	147	18	and	and	CCONJ
cana-1011	147	19	the	the	DET
cana-1011	147	20	concealed	conceal	VERB
cana-1011	147	21	state	state	NOUN
cana-1011	147	22	)	)	PUNCT
cana-1011	147	23	should	should	AUX
cana-1011	147	24	be	be	AUX
cana-1011	147	25	stored	store	VERB
cana-1011	147	26	.	.	PUNCT
cana-1011	148	1	a	a	DET
cana-1011	148	2	model	model	NOUN
cana-1011	148	3	of	of	ADP
cana-1011	148	4	an	an	DET
cana-1011	148	5	lstm	lstm	ADJ
cana-1011	148	6	network	network	NOUN
cana-1011	148	7	is	be	AUX
cana-1011	148	8	constructed	construct	VERB
cana-1011	148	9	using	use	VERB
cana-1011	148	10	equation	equation	NOUN
cana-1011	148	11	(	(	PUNCT
cana-1011	148	12	6	6	NUM
cana-1011	148	13	):	):	PUNCT
cana-1011	148	14	𝑓𝑔𝑡	𝑓𝑔𝑡	NOUN
cana-1011	148	15	=	=	SYM
cana-1011	148	16	(	(	PUNCT
cana-1011	148	17	𝑤𝑓	𝑤𝑓	NOUN
cana-1011	148	18	∗	∗	NOUN
cana-1011	148	19	𝑥𝑡	𝑥𝑡	ADV
cana-1011	148	20	+	+	CCONJ
cana-1011	148	21	𝑠𝑡	𝑠𝑡	PROPN
cana-1011	148	22	∗	∗	X
cana-1011	148	23	ℎ𝑑𝑡−1	ℎ𝑑𝑡−1	PROPN
cana-1011	148	24	+	+	CCONJ
cana-1011	148	25	𝑏𝑓	𝑏𝑓	PROPN
cana-1011	148	26	)	)	PUNCT
cana-1011	148	27	(	(	PUNCT
cana-1011	148	28	2	2	X
cana-1011	148	29	)	)	PUNCT
cana-1011	148	30	𝑖𝑝𝑡	𝑖𝑝𝑡	NOUN
cana-1011	148	31	=	=	PUNCT
cana-1011	148	32	(	(	PUNCT
cana-1011	148	33	𝑤𝑖𝑝	𝑤𝑖𝑝	NOUN
cana-1011	148	34	∗	∗	NOUN
cana-1011	148	35	𝑥𝑡	𝑥𝑡	ADV
cana-1011	148	36	+	+	CCONJ
cana-1011	148	37	𝑠𝑖𝑝	𝑠𝑖𝑝	PRON
cana-1011	148	38	∗	∗	NOUN
cana-1011	148	39	ℎ𝑑𝑡−1	ℎ𝑑𝑡−1	PROPN
cana-1011	148	40	+	+	NUM
cana-1011	148	41	𝑏𝑖𝑝	𝑏𝑖𝑝	NOUN
cana-1011	148	42	)	)	PUNCT
cana-1011	148	43	(	(	PUNCT
cana-1011	148	44	3	3	X
cana-1011	148	45	)	)	PUNCT
cana-1011	148	46	m	m	PROPN
cana-1011	149	1	=	=	NOUN
cana-1011	149	2	tanh(𝑤𝑚	tanh(𝑤𝑚	PROPN
cana-1011	149	3	∗	∗	NOUN
cana-1011	149	4	𝑥𝑡	𝑥𝑡	ADP
cana-1011	149	5	+	+	PUNCT
cana-1011	149	6	𝑠𝑚	𝑠𝑚	ADP
cana-1011	149	7	∗	∗	NOUN
cana-1011	149	8	ℎ𝑑𝑡−1	ℎ𝑑𝑡−1	PROPN
cana-1011	150	1	+	+	CCONJ
cana-1011	150	2	𝑏𝑚	𝑏𝑚	X
cana-1011	150	3	)	)	PUNCT
cana-1011	150	4	(	(	PUNCT
cana-1011	150	5	4	4	NUM
cana-1011	150	6	)	)	PUNCT
cana-1011	150	7	=	=	SYM
cana-1011	150	8	𝑖𝑝𝑡	𝑖𝑝𝑡	ADJ
cana-1011	150	9	∗	∗	NOUN
cana-1011	150	10	�	�	PROPN
cana-1011	150	11	̃	̃	PROPN
cana-1011	150	12	�	�	NOUN
cana-1011	150	13	𝑡	𝑡	ADP
cana-1011	150	14	+	+	NOUN
cana-1011	150	15	𝑓𝑔𝑡	𝑓𝑔𝑡	NOUN
cana-1011	150	16	∗	∗	NOUN
cana-1011	150	17	𝑀𝑡−1	𝑀𝑡−1	PROPN
cana-1011	150	18	(	(	PUNCT
cana-1011	150	19	5	5	NUM
cana-1011	150	20	)	)	PUNCT
cana-1011	150	21	𝑜𝑝𝑡	𝑜𝑝𝑡	NOUN
cana-1011	150	22	=	=	PUNCT
cana-1011	150	23	(	(	PUNCT
cana-1011	150	24	𝑤𝑜𝑝	𝑤𝑜𝑝	VERB
cana-1011	150	25	∗	∗	NOUN
cana-1011	150	26	𝑥𝑡	𝑥𝑡	ADP
cana-1011	150	27	+	+	X
cana-1011	150	28	𝑠𝑜𝑝	𝑠𝑜𝑝	NOUN
cana-1011	150	29	∗	∗	NOUN
cana-1011	150	30	ℎ𝑑𝑡−1	ℎ𝑑𝑡−1	PROPN
cana-1011	150	31	+	+	CCONJ
cana-1011	150	32	𝑏𝑜𝑝	𝑏𝑜𝑝	PROPN
cana-1011	150	33	)	)	PUNCT
cana-1011	150	34	(	(	PUNCT
cana-1011	150	35	6	6	X
cana-1011	150	36	)	)	PUNCT
cana-1011	150	37	ℎ𝑑𝑡	ℎ𝑑𝑡	NOUN
cana-1011	150	38	=	=	SYM
cana-1011	150	39	𝑜𝑝𝑡	𝑜𝑝𝑡	NOUN
cana-1011	150	40	∗	∗	NOUN
cana-1011	150	41	tanh(𝑀𝑡	tanh(𝑀𝑡	PROPN
cana-1011	150	42	)	)	PUNCT
cana-1011	150	43	(	(	PUNCT
cana-1011	150	44	7	7	X
cana-1011	150	45	)	)	PUNCT
cana-1011	150	46	where	where	SCONJ
cana-1011	150	47	σ	σ	PROPN
cana-1011	150	48	is	be	AUX
cana-1011	150	49	the	the	DET
cana-1011	150	50	stimulation	stimulation	NOUN
cana-1011	150	51	function	function	NOUN
cana-1011	150	52	,	,	PUNCT
cana-1011	150	53	tanh	tanh	PROPN
cana-1011	150	54	is	be	AUX
cana-1011	150	55	the	the	DET
cana-1011	150	56	elliptical	elliptical	ADJ
cana-1011	150	57	tangent	tangent	NOUN
cana-1011	150	58	activation	activation	NOUN
cana-1011	150	59	function	function	NOUN
cana-1011	150	60	,	,	PUNCT
cana-1011	150	61	xt	xt	PROPN
cana-1011	150	62	is	be	AUX
cana-1011	150	63	the	the	DET
cana-1011	150	64	input	input	NOUN
cana-1011	150	65	data	datum	NOUN
cana-1011	150	66	at	at	ADP
cana-1011	150	67	the	the	DET
cana-1011	150	68	time	time	NOUN
cana-1011	150	69	instance	instance	NOUN
cana-1011	150	70	,	,	PUNCT
cana-1011	150	71	mt1	mt1	PROPN
cana-1011	150	72	is	be	AUX
cana-1011	150	73	the	the	DET
cana-1011	150	74	previous	previous	ADJ
cana-1011	150	75	memory	memory	NOUN
cana-1011	150	76	,	,	PUNCT
cana-1011	150	77	hdt1	hdt1	PROPN
cana-1011	150	78	is	be	AUX
cana-1011	150	79	the	the	DET
cana-1011	150	80	previous	previous	ADJ
cana-1011	150	81	output	output	NOUN
cana-1011	150	82	,	,	PUNCT
cana-1011	150	83	mt	mt	PROPN
cana-1011	150	84	is	be	AUX
cana-1011	150	85	the	the	DET
cana-1011	150	86	current	current	ADJ
cana-1011	150	87	memory	memory	NOUN
cana-1011	150	88	,	,	PUNCT
cana-1011	150	89	hdt	hdt	PROPN
cana-1011	150	90	is	be	AUX
cana-1011	150	91	the	the	DET
cana-1011	150	92	current	current	ADJ
cana-1011	150	93	output	output	NOUN
cana-1011	150	94	,	,	PUNCT
cana-1011	150	95	wf	wf	PROPN
cana-1011	150	96	,	,	PUNCT
cana-1011	150	97	wip	wip	PROPN
cana-1011	150	98	,	,	PUNCT
cana-1011	150	99	wm	wm	PROPN
cana-1011	150	100	,	,	PUNCT
cana-1011	150	101	wop	wop	NOUN
cana-1011	150	102	sip	sip	NOUN
cana-1011	150	103	,	,	PUNCT
cana-1011	150	104	sm	sm	PROPN
cana-1011	150	105	,	,	PUNCT
cana-1011	150	106	sop	sop	PROPN
cana-1011	150	107	,	,	PUNCT
cana-1011	150	108	st	st	PROPN
cana-1011	150	109	,	,	PUNCT
cana-1011	150	110	are	be	AUX
cana-1011	150	111	now	now	ADV
cana-1011	150	112	weights	weight	NOUN
cana-1011	150	113	,	,	PUNCT
cana-1011	150	114	and	and	CCONJ
cana-1011	150	115	bf	bf	PROPN
cana-1011	150	116	,	,	PUNCT
cana-1011	150	117	bip	bip	PROPN
cana-1011	150	118	,	,	PUNCT
cana-1011	150	119	bm	bm	PROPN
cana-1011	150	120	,	,	PUNCT
cana-1011	150	121	bop	bop	INTJ
cana-1011	150	122	are	be	AUX
cana-1011	150	123	bias	bias	NOUN
cana-1011	150	124	.	.	PUNCT
cana-1011	151	1	the	the	DET
cana-1011	151	2	current	current	ADJ
cana-1011	151	3	inputs	input	NOUN
cana-1011	151	4	and	and	CCONJ
cana-1011	151	5	the	the	DET
cana-1011	151	6	prior	prior	ADJ
cana-1011	151	7	cell	cell	NOUN
cana-1011	151	8	output	output	NOUN
cana-1011	151	9	coordinate	coordinate	VERB
cana-1011	151	10	the	the	DET
cana-1011	151	11	various	various	ADJ
cana-1011	151	12	gate	gate	NOUN
cana-1011	151	13	values	value	NOUN
cana-1011	151	14	.	.	PUNCT
cana-1011	152	1	in	in	ADP
cana-1011	152	2	order	order	NOUN
cana-1011	152	3	to	to	PART
cana-1011	152	4	choose	choose	VERB
cana-1011	152	5	what	what	PRON
cana-1011	152	6	data	datum	NOUN
cana-1011	152	7	to	to	PART
cana-1011	152	8	retain	retain	VERB
cana-1011	152	9	and	and	CCONJ
cana-1011	152	10	what	what	PRON
cana-1011	152	11	to	to	PART
cana-1011	152	12	discard	discard	VERB
cana-1011	152	13	,	,	PUNCT
cana-1011	152	14	lstm	lstm	NOUN
cana-1011	152	15	processes	process	VERB
cana-1011	152	16	both	both	CCONJ
cana-1011	152	17	historical	historical	ADJ
cana-1011	152	18	and	and	CCONJ
cana-1011	152	19	current	current	ADJ
cana-1011	152	20	information	information	NOUN
cana-1011	152	21	.	.	PUNCT
cana-1011	153	1	by	by	ADP
cana-1011	153	2	forgetting	forget	VERB
cana-1011	153	3	a	a	DET
cana-1011	153	4	subset	subset	NOUN
cana-1011	153	5	of	of	ADP
cana-1011	153	6	the	the	DET
cana-1011	153	7	current	current	ADJ
cana-1011	153	8	new	new	ADJ
cana-1011	153	9	input	input	NOUN
cana-1011	153	10	xt	xt	ADP
cana-1011	153	11	,	,	PUNCT
cana-1011	153	12	the	the	DET
cana-1011	153	13	resulting	result	VERB
cana-1011	153	14	memory	memory	NOUN
cana-1011	153	15	cell	cell	NOUN
cana-1011	153	16	is	be	AUX
cana-1011	153	17	shown	show	VERB
cana-1011	153	18	in	in	ADP
cana-1011	153	19	equation	equation	NOUN
cana-1011	153	20	(	(	PUNCT
cana-1011	153	21	2	2	NUM
cana-1011	153	22	)	)	PUNCT
cana-1011	153	23	.	.	PUNCT
cana-1011	154	1	equation	equation	NOUN
cana-1011	154	2	(	(	PUNCT
cana-1011	154	3	3	3	X
cana-1011	154	4	)	)	PUNCT
cana-1011	154	5	shows	show	VERB
cana-1011	154	6	that	that	SCONJ
cana-1011	154	7	each	each	DET
cana-1011	154	8	lstm	lstm	ADJ
cana-1011	154	9	cell	cell	NOUN
cana-1011	154	10	produces	produce	VERB
cana-1011	154	11	some	some	DET
cana-1011	154	12	new	new	ADJ
cana-1011	154	13	memory	memory	NOUN
cana-1011	154	14	.	.	PUNCT
cana-1011	155	1	memory	memory	NOUN
cana-1011	155	2	&	&	CCONJ
cana-1011	155	3	final	final	ADJ
cana-1011	155	4	storage	storage	NOUN
cana-1011	155	5	of	of	ADP
cana-1011	155	6	the	the	DET
cana-1011	155	7	gate	gate	NOUN
cana-1011	155	8	can	can	AUX
cana-1011	155	9	be	be	AUX
cana-1011	155	10	calculated	calculate	VERB
cana-1011	155	11	using	use	VERB
cana-1011	155	12	equations	equation	NOUN
cana-1011	155	13	(	(	PUNCT
cana-1011	155	14	4	4	NUM
cana-1011	155	15	)	)	PUNCT
cana-1011	155	16	and	and	CCONJ
cana-1011	155	17	(	(	PUNCT
cana-1011	155	18	5	5	NUM
cana-1011	155	19	)	)	PUNCT
cana-1011	155	20	.	.	PUNCT
cana-1011	156	1	the	the	DET
cana-1011	156	2	aggregated	aggregate	VERB
cana-1011	156	3	cell	cell	NOUN
cana-1011	156	4	's	's	PART
cana-1011	156	5	result	result	NOUN
cana-1011	156	6	is	be	AUX
cana-1011	156	7	a	a	DET
cana-1011	156	8	prediction	prediction	NOUN
cana-1011	156	9	for	for	ADP
cana-1011	156	10	the	the	DET
cana-1011	156	11	entire	entire	ADJ
cana-1011	156	12	sequence	sequence	NOUN
cana-1011	156	13	as	as	ADP
cana-1011	156	14	a	a	DET
cana-1011	156	15	whole	whole	NOUN
cana-1011	156	16	.	.	PUNCT
cana-1011	157	1	equation	equation	NOUN
cana-1011	157	2	(	(	PUNCT
cana-1011	157	3	7	7	X
cana-1011	157	4	)	)	PUNCT
cana-1011	157	5	uses	use	VERB
cana-1011	157	6	the	the	DET
cana-1011	157	7	sigmoid	sigmoid	NOUN
cana-1011	157	8	activation	activation	NOUN
cana-1011	157	9	function	function	NOUN
cana-1011	157	10	,	,	PUNCT
cana-1011	157	11	which	which	PRON
cana-1011	157	12	is	be	AUX
cana-1011	157	13	the	the	DET
cana-1011	157	14	function	function	NOUN
cana-1011	157	15	of	of	ADP
cana-1011	157	16	the	the	DET
cana-1011	157	17	final	final	ADJ
cana-1011	157	18	storage	storage	NOUN
cana-1011	157	19	gate	gate	NOUN
cana-1011	157	20	output	output	NOUN
cana-1011	157	21	to	to	PART
cana-1011	157	22	calculate	calculate	VERB
cana-1011	157	23	the	the	DET
cana-1011	157	24	value	value	NOUN
cana-1011	157	25	of	of	ADP
cana-1011	157	26	the	the	DET
cana-1011	157	27	hidden	hidden	ADJ
cana-1011	157	28	state	state	NOUN
cana-1011	157	29	.	.	PUNCT
cana-1011	158	1	3.3	3.3	NUM
cana-1011	158	2	hybrid	hybrid	ADJ
cana-1011	158	3	lstm	lstm	NOUN
cana-1011	158	4	-	-	PUNCT
cana-1011	158	5	rnn	rnn	NOUN
cana-1011	158	6	architecture	architecture	NOUN
cana-1011	158	7	:	:	PUNCT
cana-1011	158	8	previous	previous	ADJ
cana-1011	158	9	research	research	NOUN
cana-1011	158	10	has	have	AUX
cana-1011	158	11	shown	show	VERB
cana-1011	158	12	that	that	SCONJ
cana-1011	158	13	merging	merge	VERB
cana-1011	158	14	different	different	ADJ
cana-1011	158	15	neural	neural	ADJ
cana-1011	158	16	network	network	NOUN
cana-1011	158	17	topologies	topology	NOUN
cana-1011	158	18	can	can	AUX
cana-1011	158	19	help	help	VERB
cana-1011	158	20	remedy	remedy	VERB
cana-1011	158	21	the	the	DET
cana-1011	158	22	drawbacks	drawback	NOUN
cana-1011	158	23	of	of	ADP
cana-1011	158	24	each	each	DET
cana-1011	158	25	individual	individual	ADJ
cana-1011	158	26	model	model	NOUN
cana-1011	158	27	.	.	PUNCT
cana-1011	159	1	as	as	ADP
cana-1011	159	2	a	a	DET
cana-1011	159	3	result	result	NOUN
cana-1011	159	4	,	,	PUNCT
cana-1011	159	5	this	this	DET
cana-1011	159	6	paper	paper	NOUN
cana-1011	159	7	investigates	investigate	VERB
cana-1011	159	8	the	the	DET
cana-1011	159	9	effect	effect	NOUN
cana-1011	159	10	of	of	ADP
cana-1011	159	11	adding	add	VERB
cana-1011	159	12	layers	layer	NOUN
cana-1011	159	13	from	from	ADP
cana-1011	159	14	different	different	ADJ
cana-1011	159	15	architectures	architecture	NOUN
cana-1011	159	16	to	to	ADP
cana-1011	159	17	the	the	DET
cana-1011	159	18	preexisting	preexist	VERB
cana-1011	159	19	neural	neural	ADJ
cana-1011	159	20	network	network	NOUN
cana-1011	159	21	model	model	NOUN
cana-1011	159	22	.	.	PUNCT
cana-1011	160	1	when	when	SCONJ
cana-1011	160	2	compared	compare	VERB
cana-1011	160	3	with	with	ADP
cana-1011	160	4	the	the	DET
cana-1011	160	5	recurrent	recurrent	ADJ
cana-1011	160	6	neural	neural	ADJ
cana-1011	160	7	networks	network	NOUN
cana-1011	160	8	(	(	PUNCT
cana-1011	160	9	rnn	rnn	PROPN
cana-1011	160	10	)	)	PUNCT
cana-1011	160	11	[	[	X
cana-1011	160	12	25,26	25,26	X
cana-1011	160	13	]	]	X
cana-1011	160	14	(	(	PUNCT
cana-1011	160	15	fig	fig	NOUN
cana-1011	160	16	.	.	PUNCT
cana-1011	161	1	3	3	NUM
cana-1011	161	2	)	)	PUNCT
cana-1011	161	3	,	,	PUNCT
cana-1011	161	4	the	the	DET
cana-1011	161	5	lstm	lstm	NOUN
cana-1011	161	6	(	(	PUNCT
cana-1011	161	7	long	long	ADJ
cana-1011	161	8	short	short	ADJ
cana-1011	161	9	term	term	NOUN
cana-1011	161	10	memory	memory	NOUN
cana-1011	161	11	)	)	PUNCT
cana-1011	161	12	layer[24	layer[24	PROPN
cana-1011	161	13	]	]	PUNCT
cana-1011	161	14	(	(	PUNCT
cana-1011	161	15	fig	fig	NOUN
cana-1011	161	16	.	.	PUNCT
cana-1011	162	1	2	2	NUM
cana-1011	162	2	)	)	PUNCT
cana-1011	162	3	is	be	AUX
cana-1011	162	4	better	well	ADV
cana-1011	162	5	able	able	ADJ
cana-1011	162	6	to	to	PART
cana-1011	162	7	remember	remember	VERB
cana-1011	162	8	long	long	ADJ
cana-1011	162	9	-	-	PUNCT
cana-1011	162	10	distance	distance	NOUN
cana-1011	162	11	relations	relation	NOUN
cana-1011	162	12	.	.	PUNCT
cana-1011	163	1	below	below	ADV
cana-1011	163	2	is	be	AUX
cana-1011	163	3	a	a	DET
cana-1011	163	4	diagram	diagram	NOUN
cana-1011	163	5	of	of	ADP
cana-1011	163	6	our	our	PRON
cana-1011	163	7	proposed	propose	VERB
cana-1011	163	8	lstm	lstm	NOUN
cana-1011	163	9	-	-	PUNCT
cana-1011	163	10	rnn	rnn	PROPN
cana-1011	163	11	.	.	PUNCT
cana-1011	164	1	communications	communication	NOUN
cana-1011	164	2	on	on	ADP
cana-1011	164	3	applied	apply	VERB
cana-1011	164	4	nonlinear	nonlinear	ADJ
cana-1011	164	5	analysis	analysis	NOUN
cana-1011	164	6	issn	issn	NOUN
cana-1011	164	7	:	:	PUNCT
cana-1011	164	8	1074	1074	NUM
cana-1011	164	9	-	-	PUNCT
cana-1011	164	10	133x	133x	NUM
cana-1011	164	11	vol	vol	NOUN
cana-1011	164	12	31	31	NUM
cana-1011	164	13	no	no	NOUN
cana-1011	164	14	.	.	PUNCT
cana-1011	165	1	5s	5s	NUM
cana-1011	165	2	(	(	PUNCT
cana-1011	165	3	2024	2024	NUM
cana-1011	165	4	)	)	PUNCT
cana-1011	165	5	174	174	NUM
cana-1011	165	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	165	7	figure	figure	NOUN
cana-1011	165	8	4.proposed	4.proposed	NUM
cana-1011	165	9	rnn	rnn	PROPN
cana-1011	165	10	-	-	PUNCT
cana-1011	165	11	lstm	lstm	ADJ
cana-1011	165	12	architecture	architecture	NOUN
cana-1011	165	13	for	for	ADP
cana-1011	165	14	ir	ir	PROPN
cana-1011	165	15	system	system	NOUN
cana-1011	165	16	figure	figure	NOUN
cana-1011	165	17	4	4	NUM
cana-1011	165	18	depicts	depict	VERB
cana-1011	165	19	the	the	DET
cana-1011	165	20	general	general	ADJ
cana-1011	165	21	layout	layout	NOUN
cana-1011	165	22	of	of	ADP
cana-1011	165	23	the	the	DET
cana-1011	165	24	suggested	suggest	VERB
cana-1011	165	25	hybrid	hybrid	ADJ
cana-1011	165	26	model	model	NOUN
cana-1011	165	27	.	.	PUNCT
cana-1011	166	1	in	in	ADP
cana-1011	166	2	this	this	DET
cana-1011	166	3	diagram	diagram	NOUN
cana-1011	166	4	,	,	PUNCT
cana-1011	166	5	we	we	PRON
cana-1011	166	6	can	can	AUX
cana-1011	166	7	see	see	VERB
cana-1011	166	8	that	that	SCONJ
cana-1011	166	9	once	once	SCONJ
cana-1011	166	10	the	the	DET
cana-1011	166	11	data	data	NOUN
cana-1011	166	12	is	be	AUX
cana-1011	166	13	entered	enter	VERB
cana-1011	166	14	,	,	PUNCT
cana-1011	166	15	the	the	DET
cana-1011	166	16	lstm	lstm	PROPN
cana-1011	166	17	model	model	NOUN
cana-1011	166	18	&	&	CCONJ
cana-1011	166	19	the	the	DET
cana-1011	166	20	rnn	rnn	NOUN
cana-1011	166	21	model	model	NOUN
cana-1011	166	22	will	will	AUX
cana-1011	166	23	both	both	PRON
cana-1011	166	24	calculate	calculate	VERB
cana-1011	166	25	their	their	PRON
cana-1011	166	26	own	own	ADJ
cana-1011	166	27	outputs	output	NOUN
cana-1011	166	28	before	before	ADP
cana-1011	166	29	being	be	AUX
cana-1011	166	30	ensemble	ensemble	ADJ
cana-1011	166	31	using	use	VERB
cana-1011	166	32	the	the	DET
cana-1011	166	33	linear	linear	ADJ
cana-1011	166	34	regression	regression	NOUN
cana-1011	166	35	approach	approach	NOUN
cana-1011	166	36	to	to	PART
cana-1011	166	37	get	get	VERB
cana-1011	166	38	the	the	DET
cana-1011	166	39	final	final	ADJ
cana-1011	166	40	result	result	NOUN
cana-1011	166	41	of	of	ADP
cana-1011	166	42	the	the	DET
cana-1011	166	43	hybrid	hybrid	ADJ
cana-1011	166	44	model	model	NOUN
cana-1011	166	45	.	.	PUNCT
cana-1011	167	1	the	the	DET
cana-1011	167	2	learning	learn	VERB
cana-1011	167	3	algorithms	algorithm	NOUN
cana-1011	167	4	discussed	discuss	VERB
cana-1011	167	5	above	above	ADV
cana-1011	167	6	can	can	AUX
cana-1011	167	7	be	be	AUX
cana-1011	167	8	used	use	VERB
cana-1011	167	9	to	to	PART
cana-1011	167	10	build	build	VERB
cana-1011	167	11	both	both	DET
cana-1011	167	12	the	the	DET
cana-1011	167	13	lstm	lstm	PROPN
cana-1011	167	14	&	&	CCONJ
cana-1011	167	15	rnn	rnn	PROPN
cana-1011	167	16	models	model	NOUN
cana-1011	167	17	used	use	VERB
cana-1011	167	18	in	in	ADP
cana-1011	167	19	this	this	DET
cana-1011	167	20	hybrid	hybrid	ADJ
cana-1011	167	21	model	model	NOUN
cana-1011	167	22	.	.	PUNCT
cana-1011	168	1	now	now	ADV
cana-1011	168	2	all	all	DET
cana-1011	168	3	that	that	PRON
cana-1011	168	4	's	be	AUX
cana-1011	168	5	left	leave	VERB
cana-1011	168	6	to	to	PART
cana-1011	168	7	do	do	VERB
cana-1011	168	8	in	in	ADP
cana-1011	168	9	order	order	NOUN
cana-1011	168	10	to	to	PART
cana-1011	168	11	create	create	VERB
cana-1011	168	12	this	this	DET
cana-1011	168	13	hybrid	hybrid	ADJ
cana-1011	168	14	model	model	NOUN
cana-1011	168	15	is	be	AUX
cana-1011	168	16	to	to	PART
cana-1011	168	17	settle	settle	VERB
cana-1011	168	18	on	on	ADP
cana-1011	168	19	values	value	NOUN
cana-1011	168	20	for	for	ADP
cana-1011	168	21	each	each	DET
cana-1011	168	22	parameter	parameter	NOUN
cana-1011	168	23	of	of	ADP
cana-1011	168	24	the	the	DET
cana-1011	168	25	linear	linear	ADJ
cana-1011	168	26	regression	regression	NOUN
cana-1011	168	27	,	,	PUNCT
cana-1011	168	28	as	as	SCONJ
cana-1011	168	29	shown	show	VERB
cana-1011	168	30	in	in	ADP
cana-1011	168	31	equations	equation	NOUN
cana-1011	168	32	(	(	PUNCT
cana-1011	168	33	1	1	NUM
cana-1011	168	34	)	)	PUNCT
cana-1011	168	35	through	through	ADP
cana-1011	168	36	(	(	PUNCT
cana-1011	168	37	7	7	NUM
cana-1011	168	38	)	)	PUNCT
cana-1011	168	39	.	.	PUNCT
cana-1011	169	1	figure	figure	VERB
cana-1011	169	2	5.hybrid	5.hybrid	NUM
cana-1011	169	3	rnn	rnn	NOUN
cana-1011	169	4	-	-	PUNCT
cana-1011	169	5	lstm	lstm	ADJ
cana-1011	169	6	algorithm	algorithm	NOUN
cana-1011	169	7	3.4	3.4	NUM
cana-1011	169	8	working	work	VERB
cana-1011	169	9	of	of	ADP
cana-1011	169	10	rnn	rnn	PROPN
cana-1011	169	11	-	-	PUNCT
cana-1011	169	12	lstm	lstm	PROPN
cana-1011	169	13	:	:	PUNCT
cana-1011	169	14	in	in	ADP
cana-1011	169	15	irs	irs	PROPN
cana-1011	169	16	's	's	PART
cana-1011	169	17	figure	figure	NOUN
cana-1011	169	18	4	4	NUM
cana-1011	169	19	,	,	PUNCT
cana-1011	169	20	a	a	DET
cana-1011	169	21	single	single	ADJ
cana-1011	169	22	word	word	NOUN
cana-1011	169	23	or	or	CCONJ
cana-1011	169	24	phrase	phrase	NOUN
cana-1011	169	25	serves	serve	VERB
cana-1011	169	26	as	as	ADP
cana-1011	169	27	the	the	DET
cana-1011	169	28	fundamental	fundamental	ADJ
cana-1011	169	29	building	building	NOUN
cana-1011	169	30	block	block	NOUN
cana-1011	169	31	of	of	ADP
cana-1011	169	32	your	your	PRON
cana-1011	169	33	work	work	NOUN
cana-1011	169	34	.	.	PUNCT
cana-1011	170	1	in	in	ADP
cana-1011	170	2	addition	addition	NOUN
cana-1011	170	3	,	,	PUNCT
cana-1011	170	4	numerous	numerous	ADJ
cana-1011	170	5	algorithms	algorithm	NOUN
cana-1011	170	6	use	use	VERB
cana-1011	170	7	vector	vector	NOUN
cana-1011	170	8	representations	representation	NOUN
cana-1011	170	9	of	of	ADP
cana-1011	170	10	text	text	NOUN
cana-1011	170	11	.	.	PUNCT
cana-1011	171	1	word	word	NOUN
cana-1011	171	2	representation	representation	NOUN
cana-1011	171	3	is	be	AUX
cana-1011	171	4	a	a	DET
cana-1011	171	5	popular	popular	ADJ
cana-1011	171	6	application	application	NOUN
cana-1011	171	7	of	of	ADP
cana-1011	171	8	our	our	PRON
cana-1011	171	9	hybrid	hybrid	NOUN
cana-1011	171	10	method	method	NOUN
cana-1011	171	11	.	.	PUNCT
cana-1011	172	1	word	word	NOUN
cana-1011	172	2	similarities	similarity	NOUN
cana-1011	172	3	can	can	AUX
cana-1011	172	4	not	not	PART
cana-1011	172	5	be	be	AUX
cana-1011	172	6	displayed	display	VERB
cana-1011	172	7	using	use	VERB
cana-1011	172	8	this	this	DET
cana-1011	172	9	method	method	NOUN
cana-1011	172	10	.	.	PUNCT
cana-1011	173	1	however	however	ADV
cana-1011	173	2	,	,	PUNCT
cana-1011	173	3	due	due	ADP
cana-1011	173	4	to	to	ADP
cana-1011	173	5	the	the	DET
cana-1011	173	6	large	large	ADJ
cana-1011	173	7	dimensionality	dimensionality	NOUN
cana-1011	173	8	of	of	ADP
cana-1011	173	9	the	the	DET
cana-1011	173	10	input	input	NOUN
cana-1011	173	11	documents	document	NOUN
cana-1011	173	12	,	,	PUNCT
cana-1011	173	13	employing	employ	VERB
cana-1011	173	14	this	this	DET
cana-1011	173	15	approach	approach	NOUN
cana-1011	173	16	in	in	ADP
cana-1011	173	17	deep	deep	ADJ
cana-1011	173	18	hybrid	hybrid	NOUN
cana-1011	173	19	rnnlstm	rnnlstm	NOUN
cana-1011	173	20	algorithm	algorithm	NOUN
cana-1011	173	21	rnn	rnn	VERB
cana-1011	173	22	lstm	lstm	ADJ
cana-1011	173	23	communications	communication	NOUN
cana-1011	173	24	on	on	ADP
cana-1011	173	25	applied	apply	VERB
cana-1011	173	26	nonlinear	nonlinear	ADJ
cana-1011	173	27	analysis	analysis	NOUN
cana-1011	173	28	issn	issn	NOUN
cana-1011	173	29	:	:	PUNCT
cana-1011	173	30	1074	1074	NUM
cana-1011	173	31	-	-	PUNCT
cana-1011	173	32	133x	133x	NUM
cana-1011	173	33	vol	vol	NOUN
cana-1011	173	34	31	31	NUM
cana-1011	173	35	no	no	NOUN
cana-1011	173	36	.	.	PUNCT
cana-1011	174	1	5s	5s	NUM
cana-1011	174	2	(	(	PUNCT
cana-1011	174	3	2024	2024	NUM
cana-1011	174	4	)	)	PUNCT
cana-1011	174	5	175	175	NUM
cana-1011	175	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	175	2	learning	learn	VERB
cana-1011	175	3	results	result	NOUN
cana-1011	175	4	in	in	ADP
cana-1011	175	5	issues	issue	NOUN
cana-1011	175	6	such	such	ADJ
cana-1011	175	7	as	as	ADP
cana-1011	175	8	dimensional	dimensional	ADJ
cana-1011	175	9	disaster	disaster	NOUN
cana-1011	175	10	.	.	PUNCT
cana-1011	176	1	it	it	PRON
cana-1011	176	2	also	also	ADV
cana-1011	176	3	misrepresents	misrepresent	VERB
cana-1011	176	4	the	the	DET
cana-1011	176	5	depth	depth	NOUN
cana-1011	176	6	of	of	ADP
cana-1011	176	7	the	the	DET
cana-1011	176	8	links	link	NOUN
cana-1011	176	9	between	between	ADP
cana-1011	176	10	the	the	DET
cana-1011	176	11	terms	term	NOUN
cana-1011	176	12	.	.	PUNCT
cana-1011	177	1	word	word	NOUN
cana-1011	177	2	embedding	embed	VERB
cana-1011	177	3	algorithms	algorithm	NOUN
cana-1011	177	4	have	have	AUX
cana-1011	177	5	superseded	supersede	VERB
cana-1011	177	6	this	this	DET
cana-1011	177	7	problematic	problematic	ADJ
cana-1011	177	8	representation	representation	NOUN
cana-1011	177	9	method	method	NOUN
cana-1011	177	10	.	.	PUNCT
cana-1011	178	1	word2vec	word2vec	PROPN
cana-1011	178	2	,	,	PUNCT
cana-1011	178	3	glove	glove	NOUN
cana-1011	178	4	,	,	PUNCT
cana-1011	178	5	and	and	CCONJ
cana-1011	178	6	embedding	embed	VERB
cana-1011	178	7	layer	layer	NOUN
cana-1011	178	8	are	be	AUX
cana-1011	178	9	a	a	DET
cana-1011	178	10	few	few	ADJ
cana-1011	178	11	of	of	ADP
cana-1011	178	12	the	the	DET
cana-1011	178	13	available	available	ADJ
cana-1011	178	14	word	word	NOUN
cana-1011	178	15	embedding	embed	VERB
cana-1011	178	16	algorithms	algorithm	NOUN
cana-1011	178	17	.	.	PUNCT
cana-1011	179	1	the	the	DET
cana-1011	179	2	word2vec	word2vec	X
cana-1011	179	3	embedding	embed	VERB
cana-1011	179	4	approach	approach	NOUN
cana-1011	179	5	,	,	PUNCT
cana-1011	179	6	a	a	DET
cana-1011	179	7	three	three	NUM
cana-1011	179	8	-	-	PUNCT
cana-1011	179	9	layer	layer	NOUN
cana-1011	179	10	neural	neural	ADJ
cana-1011	179	11	network	network	NOUN
cana-1011	179	12	structure	structure	NOUN
cana-1011	179	13	,	,	PUNCT
cana-1011	179	14	was	be	AUX
cana-1011	179	15	utilised	utilise	VERB
cana-1011	179	16	for	for	ADP
cana-1011	179	17	representing	represent	VERB
cana-1011	179	18	the	the	DET
cana-1011	179	19	words	word	NOUN
cana-1011	179	20	in	in	ADP
cana-1011	179	21	a	a	DET
cana-1011	179	22	decentralised	decentralise	VERB
cana-1011	179	23	fashion	fashion	NOUN
cana-1011	179	24	in	in	ADP
cana-1011	179	25	this	this	DET
cana-1011	179	26	work	work	NOUN
cana-1011	179	27	.	.	PUNCT
cana-1011	180	1	word2vec	word2vec	PRON
cana-1011	180	2	primarily	primarily	ADV
cana-1011	180	3	functions	function	VERB
cana-1011	180	4	to	to	PART
cana-1011	180	5	transform	transform	VERB
cana-1011	180	6	text	text	NOUN
cana-1011	180	7	into	into	ADP
cana-1011	180	8	vectors	vector	NOUN
cana-1011	180	9	.	.	PUNCT
cana-1011	181	1	every	every	DET
cana-1011	181	2	phrase	phrase	NOUN
cana-1011	181	3	in	in	ADP
cana-1011	181	4	the	the	DET
cana-1011	181	5	text	text	NOUN
cana-1011	181	6	is	be	AUX
cana-1011	181	7	converted	convert	VERB
cana-1011	181	8	into	into	ADP
cana-1011	181	9	a	a	DET
cana-1011	181	10	vector	vector	NOUN
cana-1011	181	11	representation	representation	NOUN
cana-1011	181	12	for	for	ADP
cana-1011	181	13	processing	processing	NOUN
cana-1011	181	14	.	.	PUNCT
cana-1011	182	1	there	there	PRON
cana-1011	182	2	are	be	VERB
cana-1011	182	3	several	several	ADJ
cana-1011	182	4	different	different	ADJ
cana-1011	182	5	words	word	NOUN
cana-1011	182	6	that	that	PRON
cana-1011	182	7	make	make	VERB
cana-1011	182	8	up	up	ADP
cana-1011	182	9	the	the	DET
cana-1011	182	10	vector	vector	NOUN
cana-1011	182	11	representation	representation	NOUN
cana-1011	182	12	.	.	PUNCT
cana-1011	183	1	the	the	DET
cana-1011	183	2	word	word	NOUN
cana-1011	183	3	in	in	ADP
cana-1011	183	4	the	the	DET
cana-1011	183	5	text	text	NOUN
cana-1011	183	6	is	be	AUX
cana-1011	183	7	now	now	ADV
cana-1011	183	8	represented	represent	VERB
cana-1011	183	9	by	by	ADP
cana-1011	183	10	the	the	DET
cana-1011	183	11	notation	notation	PROPN
cana-1011	183	12	rd	rd	PROPN
cana-1011	183	13	,	,	PUNCT
cana-1011	183	14	where	where	SCONJ
cana-1011	183	15	d	d	NOUN
cana-1011	183	16	is	be	AUX
cana-1011	183	17	the	the	DET
cana-1011	183	18	dimension	dimension	NOUN
cana-1011	183	19	of	of	ADP
cana-1011	183	20	the	the	DET
cana-1011	183	21	word	word	NOUN
cana-1011	183	22	embedding	embed	VERB
cana-1011	183	23	vector	vector	NOUN
cana-1011	183	24	.	.	PUNCT
cana-1011	184	1	input	input	NOUN
cana-1011	184	2	text	text	NOUN
cana-1011	184	3	is	be	AUX
cana-1011	184	4	symbolised	symbolise	VERB
cana-1011	184	5	by	by	ADP
cana-1011	184	6	t	t	PROPN
cana-1011	184	7	,	,	PUNCT
cana-1011	184	8	therefore	therefore	ADV
cana-1011	184	9	the	the	DET
cana-1011	184	10	length	length	NOUN
cana-1011	184	11	of	of	ADP
cana-1011	184	12	the	the	DET
cana-1011	184	13	text	text	NOUN
cana-1011	184	14	is	be	AUX
cana-1011	184	15	used	use	VERB
cana-1011	184	16	in	in	ADP
cana-1011	184	17	equation	equation	NOUN
cana-1011	184	18	8	8	NUM
cana-1011	184	19	.	.	PUNCT
cana-1011	185	1	a	a	PRON
cana-1011	185	2	=	=	X
cana-1011	186	1	[	[	X
cana-1011	186	2	x1	x1	PROPN
cana-1011	186	3	,	,	PUNCT
cana-1011	186	4	x2	x2	PROPN
cana-1011	186	5	,	,	PUNCT
cana-1011	186	6	…	…	PUNCT
cana-1011	186	7	xt	xt	X
cana-1011	186	8	]	]	X
cana-1011	186	9	∈	∈	PROPN
cana-1011	186	10	rt∗d	rt∗d	NOUN
cana-1011	186	11	------------(8	------------(8	PROPN
cana-1011	186	12	)	)	PUNCT
cana-1011	186	13	this	this	DET
cana-1011	186	14	mixed	mix	VERB
cana-1011	186	15	-	-	PUNCT
cana-1011	186	16	model	model	NOUN
cana-1011	186	17	neural	neural	ADJ
cana-1011	186	18	network	network	NOUN
cana-1011	186	19	employs	employ	VERB
cana-1011	186	20	both	both	DET
cana-1011	186	21	rnn	rnn	NOUN
cana-1011	186	22	and	and	CCONJ
cana-1011	186	23	lstm	lstm	PROPN
cana-1011	186	24	.	.	PUNCT
cana-1011	187	1	rnn	rnn	PROPN
cana-1011	187	2	refers	refer	VERB
cana-1011	187	3	to	to	ADP
cana-1011	187	4	the	the	DET
cana-1011	187	5	network	network	NOUN
cana-1011	187	6	of	of	ADP
cana-1011	187	7	neurons	neuron	NOUN
cana-1011	187	8	that	that	PRON
cana-1011	187	9	operate	operate	VERB
cana-1011	187	10	together	together	ADV
cana-1011	187	11	and	and	CCONJ
cana-1011	187	12	communicate	communicate	VERB
cana-1011	187	13	with	with	ADP
cana-1011	187	14	one	one	NUM
cana-1011	187	15	another	another	DET
cana-1011	187	16	.	.	PUNCT
cana-1011	188	1	here	here	ADV
cana-1011	188	2	,	,	PUNCT
cana-1011	188	3	the	the	DET
cana-1011	188	4	weights	weight	NOUN
cana-1011	188	5	established	establish	VERB
cana-1011	188	6	connections	connection	NOUN
cana-1011	188	7	between	between	ADP
cana-1011	188	8	the	the	DET
cana-1011	188	9	neurons	neuron	NOUN
cana-1011	188	10	.	.	PUNCT
cana-1011	189	1	this	this	DET
cana-1011	189	2	network	network	NOUN
cana-1011	189	3	architecture	architecture	NOUN
cana-1011	189	4	works	work	VERB
cana-1011	189	5	well	well	ADV
cana-1011	189	6	with	with	ADP
cana-1011	189	7	time	time	NOUN
cana-1011	189	8	series	series	PROPN
cana-1011	189	9	problems	problem	NOUN
cana-1011	189	10	and	and	CCONJ
cana-1011	189	11	inputs	input	NOUN
cana-1011	189	12	of	of	ADP
cana-1011	189	13	variable	variable	ADJ
cana-1011	189	14	sizes	size	NOUN
cana-1011	189	15	.	.	PUNCT
cana-1011	190	1	rnn	rnn	PROPN
cana-1011	190	2	's	's	PART
cana-1011	190	3	internal	internal	ADJ
cana-1011	190	4	memory	memory	NOUN
cana-1011	190	5	allows	allow	VERB
cana-1011	190	6	for	for	ADP
cana-1011	190	7	two	two	NUM
cana-1011	190	8	-	-	PUNCT
cana-1011	190	9	way	way	NOUN
cana-1011	190	10	communication	communication	NOUN
cana-1011	190	11	,	,	PUNCT
cana-1011	190	12	which	which	PRON
cana-1011	190	13	helps	help	VERB
cana-1011	190	14	keep	keep	VERB
cana-1011	190	15	track	track	NOUN
cana-1011	190	16	of	of	ADP
cana-1011	190	17	lengthy	lengthy	ADJ
cana-1011	190	18	data	datum	NOUN
cana-1011	190	19	sequences	sequence	NOUN
cana-1011	190	20	.	.	PUNCT
cana-1011	191	1	in	in	ADP
cana-1011	191	2	order	order	NOUN
cana-1011	191	3	to	to	PART
cana-1011	191	4	process	process	VERB
cana-1011	191	5	sequences	sequence	NOUN
cana-1011	191	6	of	of	ADP
cana-1011	191	7	varying	vary	VERB
cana-1011	191	8	lengths	length	NOUN
cana-1011	191	9	,	,	PUNCT
cana-1011	191	10	rnn	rnn	PROPN
cana-1011	191	11	is	be	AUX
cana-1011	191	12	frequently	frequently	ADV
cana-1011	191	13	employed	employ	VERB
cana-1011	191	14	.	.	PUNCT
cana-1011	192	1	a	a	DET
cana-1011	192	2	large	large	ADJ
cana-1011	192	3	amount	amount	NOUN
cana-1011	192	4	of	of	ADP
cana-1011	192	5	historical	historical	ADJ
cana-1011	192	6	data	datum	NOUN
cana-1011	192	7	obtained	obtain	VERB
cana-1011	192	8	from	from	ADP
cana-1011	192	9	lengthy	lengthy	ADJ
cana-1011	192	10	text	text	NOUN
cana-1011	192	11	sequences	sequence	NOUN
cana-1011	192	12	is	be	AUX
cana-1011	192	13	processed	process	VERB
cana-1011	192	14	by	by	ADP
cana-1011	192	15	rnn	rnn	NOUN
cana-1011	192	16	,	,	PUNCT
cana-1011	192	17	as	as	SCONJ
cana-1011	192	18	it	it	PRON
cana-1011	192	19	is	be	AUX
cana-1011	192	20	comparable	comparable	ADJ
cana-1011	192	21	to	to	ADP
cana-1011	192	22	feed	feed	NOUN
cana-1011	192	23	-	-	PUNCT
cana-1011	192	24	forward	forward	NOUN
cana-1011	192	25	nn	nn	PROPN
cana-1011	192	26	.	.	PROPN
cana-1011	193	1	in	in	ADP
cana-1011	193	2	addition	addition	NOUN
cana-1011	193	3	to	to	ADP
cana-1011	193	4	rnn	rnn	PROPN
cana-1011	193	5	,	,	PUNCT
cana-1011	193	6	lstm	lstm	ADJ
cana-1011	193	7	networks	network	NOUN
cana-1011	193	8	can	can	AUX
cana-1011	193	9	also	also	ADV
cana-1011	193	10	do	do	VERB
cana-1011	193	11	feature	feature	NOUN
cana-1011	193	12	extraction	extraction	NOUN
cana-1011	193	13	.	.	PUNCT
cana-1011	194	1	long	long	ADJ
cana-1011	194	2	text	text	NOUN
cana-1011	194	3	sequences	sequence	NOUN
cana-1011	194	4	also	also	ADV
cana-1011	194	5	undergo	undergo	VERB
cana-1011	194	6	semantic	semantic	ADJ
cana-1011	194	7	analysis	analysis	NOUN
cana-1011	194	8	,	,	PUNCT
cana-1011	194	9	which	which	PRON
cana-1011	194	10	fixes	fix	VERB
cana-1011	194	11	the	the	DET
cana-1011	194	12	vanishing	vanish	VERB
cana-1011	194	13	gradient	gradient	NOUN
cana-1011	194	14	issue	issue	NOUN
cana-1011	194	15	.	.	PUNCT
cana-1011	195	1	with	with	ADP
cana-1011	195	2	its	its	PRON
cana-1011	195	3	three	three	NUM
cana-1011	195	4	control	control	NOUN
cana-1011	195	5	gates	gate	NOUN
cana-1011	195	6	plus	plus	CCONJ
cana-1011	195	7	memory	memory	NOUN
cana-1011	195	8	cell	cell	NOUN
cana-1011	195	9	,	,	PUNCT
cana-1011	195	10	lstm	lstm	NOUN
cana-1011	195	11	is	be	AUX
cana-1011	195	12	able	able	ADJ
cana-1011	195	13	to	to	PART
cana-1011	195	14	efficiently	efficiently	ADV
cana-1011	195	15	store	store	VERB
cana-1011	195	16	historical	historical	ADJ
cana-1011	195	17	data	datum	NOUN
cana-1011	195	18	in	in	ADP
cana-1011	195	19	extended	extended	ADJ
cana-1011	195	20	sequences	sequence	NOUN
cana-1011	195	21	.	.	PUNCT
cana-1011	196	1	the	the	DET
cana-1011	196	2	previous	previous	ADJ
cana-1011	196	3	information	information	NOUN
cana-1011	196	4	loss	loss	NOUN
cana-1011	196	5	that	that	PRON
cana-1011	196	6	occurred	occur	VERB
cana-1011	196	7	during	during	ADP
cana-1011	196	8	training	training	NOUN
cana-1011	196	9	is	be	AUX
cana-1011	196	10	avoided	avoid	VERB
cana-1011	196	11	by	by	ADP
cana-1011	196	12	using	use	VERB
cana-1011	196	13	this	this	DET
cana-1011	196	14	structure	structure	NOUN
cana-1011	196	15	.	.	PUNCT
cana-1011	197	1	this	this	DET
cana-1011	197	2	concept	concept	NOUN
cana-1011	197	3	of	of	ADP
cana-1011	197	4	a	a	DET
cana-1011	197	5	network	network	NOUN
cana-1011	197	6	uses	use	VERB
cana-1011	197	7	just	just	ADV
cana-1011	197	8	three	three	NUM
cana-1011	197	9	gates	gate	NOUN
cana-1011	197	10	—	—	PUNCT
cana-1011	197	11	the	the	DET
cana-1011	197	12	input	input	NOUN
cana-1011	197	13	gate	gate	NOUN
cana-1011	197	14	,	,	PUNCT
cana-1011	197	15	the	the	DET
cana-1011	197	16	forget	forget	NOUN
cana-1011	197	17	gate	gate	NOUN
cana-1011	197	18	,	,	PUNCT
cana-1011	197	19	and	and	CCONJ
cana-1011	197	20	the	the	DET
cana-1011	197	21	output	output	NOUN
cana-1011	197	22	gate	gate	NOUN
cana-1011	197	23	—	—	PUNCT
cana-1011	197	24	to	to	PART
cana-1011	197	25	execute	execute	VERB
cana-1011	197	26	operations	operation	NOUN
cana-1011	197	27	like	like	ADP
cana-1011	197	28	reading	reading	NOUN
cana-1011	197	29	,	,	PUNCT
cana-1011	197	30	writing	writing	NOUN
cana-1011	197	31	,	,	PUNCT
cana-1011	197	32	and	and	CCONJ
cana-1011	197	33	erasing	erase	VERB
cana-1011	197	34	data	datum	NOUN
cana-1011	197	35	.	.	PUNCT
cana-1011	198	1	the	the	DET
cana-1011	198	2	input	input	NOUN
cana-1011	198	3	gate	gate	NOUN
cana-1011	198	4	prevents	prevent	VERB
cana-1011	198	5	any	any	DET
cana-1011	198	6	changes	change	NOUN
cana-1011	198	7	from	from	ADP
cana-1011	198	8	taking	take	VERB
cana-1011	198	9	effect	effect	NOUN
cana-1011	198	10	.	.	PUNCT
cana-1011	199	1	with	with	ADP
cana-1011	199	2	the	the	DET
cana-1011	199	3	learnt	learn	VERB
cana-1011	199	4	weight	weight	NOUN
cana-1011	199	5	in	in	ADP
cana-1011	199	6	mind	mind	NOUN
cana-1011	199	7	,	,	PUNCT
cana-1011	199	8	the	the	DET
cana-1011	199	9	neuron	neuron	NOUN
cana-1011	199	10	's	's	PART
cana-1011	199	11	forget	forget	PROPN
cana-1011	199	12	gate	gate	PROPN
cana-1011	199	13	inactivates	inactivate	VERB
cana-1011	199	14	a	a	DET
cana-1011	199	15	less	less	ADV
cana-1011	199	16	-	-	PUNCT
cana-1011	199	17	important	important	ADJ
cana-1011	199	18	neuron	neuron	NOUN
cana-1011	199	19	,	,	PUNCT
cana-1011	199	20	and	and	CCONJ
cana-1011	199	21	the	the	DET
cana-1011	199	22	resultant	resultant	NOUN
cana-1011	199	23	gate	gate	NOUN
cana-1011	199	24	produces	produce	VERB
cana-1011	199	25	the	the	DET
cana-1011	199	26	output	output	NOUN
cana-1011	199	27	.	.	PUNCT
cana-1011	200	1	the	the	DET
cana-1011	200	2	recommended	recommend	VERB
cana-1011	200	3	rnn	rnn	PROPN
cana-1011	200	4	-	-	PUNCT
cana-1011	200	5	lstm	lstm	PROPN
cana-1011	200	6	model	model	NOUN
cana-1011	200	7	uses	use	VERB
cana-1011	200	8	a	a	DET
cana-1011	200	9	multi	multi	ADJ
cana-1011	200	10	-	-	ADJ
cana-1011	200	11	layer	layer	ADJ
cana-1011	200	12	lstm	lstm	NOUN
cana-1011	200	13	to	to	PART
cana-1011	200	14	generate	generate	VERB
cana-1011	200	15	a	a	DET
cana-1011	200	16	vector	vector	NOUN
cana-1011	200	17	as	as	ADP
cana-1011	200	18	output	output	NOUN
cana-1011	200	19	,	,	PUNCT
cana-1011	200	20	which	which	PRON
cana-1011	200	21	is	be	AUX
cana-1011	200	22	then	then	ADV
cana-1011	200	23	fed	feed	VERB
cana-1011	200	24	into	into	ADP
cana-1011	200	25	the	the	DET
cana-1011	200	26	rnn	rnn	NOUN
cana-1011	200	27	model	model	NOUN
cana-1011	200	28	.	.	PUNCT
cana-1011	201	1	to	to	PART
cana-1011	201	2	further	far	ADV
cana-1011	201	3	retrieve	retrieve	VERB
cana-1011	201	4	the	the	DET
cana-1011	201	5	attribute	attribute	NOUN
cana-1011	201	6	from	from	ADP
cana-1011	201	7	the	the	DET
cana-1011	201	8	text	text	NOUN
cana-1011	201	9	input	input	NOUN
cana-1011	201	10	,	,	PUNCT
cana-1011	201	11	the	the	DET
cana-1011	201	12	rnn	rnn	NOUN
cana-1011	201	13	model	model	NOUN
cana-1011	201	14	is	be	AUX
cana-1011	201	15	constructed	construct	VERB
cana-1011	201	16	on	on	ADP
cana-1011	201	17	top	top	NOUN
cana-1011	201	18	of	of	ADP
cana-1011	201	19	the	the	DET
cana-1011	201	20	lstm	lstm	PROPN
cana-1011	201	21	model	model	NOUN
cana-1011	201	22	.	.	PUNCT
cana-1011	202	1	s	s	PART
cana-1011	203	1	=	=	PUNCT
cana-1011	204	1	[	[	X
cana-1011	204	2	s1	s1	NOUN
cana-1011	204	3	,	,	PUNCT
cana-1011	204	4	s2	s2	PROPN
cana-1011	204	5	,	,	PUNCT
cana-1011	204	6	..	..	PUNCT
cana-1011	205	1	st]t	st]t	PROPN
cana-1011	205	2	is	be	AUX
cana-1011	205	3	the	the	DET
cana-1011	205	4	output	output	NOUN
cana-1011	205	5	form	form	NOUN
cana-1011	205	6	that	that	PRON
cana-1011	205	7	results	result	VERB
cana-1011	205	8	from	from	ADP
cana-1011	205	9	the	the	DET
cana-1011	205	10	feature	feature	NOUN
cana-1011	205	11	extraction	extraction	NOUN
cana-1011	205	12	performed	perform	VERB
cana-1011	205	13	by	by	ADP
cana-1011	205	14	the	the	DET
cana-1011	205	15	multi	multi	ADJ
cana-1011	205	16	-	-	ADJ
cana-1011	205	17	layer	layer	ADJ
cana-1011	205	18	lstm	lstm	NOUN
cana-1011	205	19	on	on	ADP
cana-1011	205	20	the	the	DET
cana-1011	205	21	input	input	NOUN
cana-1011	205	22	sequence	sequence	NOUN
cana-1011	205	23	.	.	PUNCT
cana-1011	206	1	where	where	SCONJ
cana-1011	206	2	t	t	PROPN
cana-1011	206	3	is	be	AUX
cana-1011	206	4	the	the	DET
cana-1011	206	5	t	t	PROPN
cana-1011	206	6	-	-	PUNCT
cana-1011	206	7	th	th	VERB
cana-1011	206	8	word	word	NOUN
cana-1011	206	9	in	in	ADP
cana-1011	206	10	the	the	DET
cana-1011	206	11	text	text	NOUN
cana-1011	206	12	sequence	sequence	NOUN
cana-1011	206	13	and	and	CCONJ
cana-1011	206	14	st	st	PROPN
cana-1011	206	15	is	be	AUX
cana-1011	206	16	an	an	DET
cana-1011	206	17	m	m	ADJ
cana-1011	206	18	-	-	ADJ
cana-1011	206	19	dimensional	dimensional	ADJ
cana-1011	206	20	feature	feature	NOUN
cana-1011	206	21	vector	vector	NOUN
cana-1011	206	22	representing	represent	VERB
cana-1011	206	23	that	that	DET
cana-1011	206	24	word	word	NOUN
cana-1011	206	25	.	.	PUNCT
cana-1011	207	1	in	in	ADP
cana-1011	207	2	addition	addition	NOUN
cana-1011	207	3	,	,	PUNCT
cana-1011	207	4	the	the	DET
cana-1011	207	5	number	number	NOUN
cana-1011	207	6	of	of	ADP
cana-1011	207	7	hidden	hidden	ADJ
cana-1011	207	8	layers	layer	NOUN
cana-1011	207	9	in	in	ADP
cana-1011	207	10	an	an	DET
cana-1011	207	11	lstm	lstm	NOUN
cana-1011	207	12	model	model	NOUN
cana-1011	207	13	corresponds	correspond	VERB
cana-1011	207	14	to	to	ADP
cana-1011	207	15	the	the	DET
cana-1011	207	16	maximum	maximum	ADJ
cana-1011	207	17	vector	vector	NOUN
cana-1011	207	18	distance	distance	NOUN
cana-1011	207	19	.	.	PUNCT
cana-1011	208	1	the	the	DET
cana-1011	208	2	length	length	NOUN
cana-1011	208	3	of	of	ADP
cana-1011	208	4	a	a	DET
cana-1011	208	5	text	text	NOUN
cana-1011	208	6	sequence	sequence	NOUN
cana-1011	208	7	is	be	AUX
cana-1011	208	8	equivalent	equivalent	ADJ
cana-1011	208	9	to	to	ADP
cana-1011	208	10	the	the	DET
cana-1011	208	11	number	number	NOUN
cana-1011	208	12	of	of	ADP
cana-1011	208	13	steps	step	NOUN
cana-1011	208	14	"	"	PUNCT
cana-1011	208	15	t	t	NOUN
cana-1011	208	16	"	"	PUNCT
cana-1011	208	17	in	in	ADP
cana-1011	208	18	an	an	DET
cana-1011	208	19	lstm	lstm	NOUN
cana-1011	208	20	's	's	PART
cana-1011	208	21	growth	growth	NOUN
cana-1011	208	22	process	process	NOUN
cana-1011	208	23	.	.	PUNCT
cana-1011	209	1	the	the	DET
cana-1011	209	2	rnn	rnn	NOUN
cana-1011	209	3	takes	take	VERB
cana-1011	209	4	in	in	ADP
cana-1011	209	5	data	datum	NOUN
cana-1011	209	6	from	from	ADP
cana-1011	209	7	a	a	DET
cana-1011	209	8	matrix	matrix	NOUN
cana-1011	209	9	in	in	ADP
cana-1011	209	10	the	the	DET
cana-1011	209	11	form	form	NOUN
cana-1011	209	12	of	of	ADP
cana-1011	209	13	s	s	NOUN
cana-1011	209	14	∈	∈	PROPN
cana-1011	209	15	rm	rm	NOUN
cana-1011	209	16	*	*	PUNCT
cana-1011	209	17	t.	t.	PROPN
cana-1011	209	18	rnns	rnns	PROPN
cana-1011	209	19	employ	employ	VERB
cana-1011	209	20	a	a	DET
cana-1011	209	21	convolution	convolution	NOUN
cana-1011	209	22	filter	filter	NOUN
cana-1011	209	23	written	write	VERB
cana-1011	209	24	as	as	SCONJ
cana-1011	209	25	f	f	PROPN
cana-1011	209	26	∈	∈	PROPN
cana-1011	209	27	ri∗j	ri∗j	PROPN
cana-1011	209	28	.	.	PROPN
cana-1011	209	29	assume	assume	VERB
cana-1011	209	30	that	that	SCONJ
cana-1011	209	31	"	"	PUNCT
cana-1011	209	32	i	i	PRON
cana-1011	209	33	"	"	PUNCT
cana-1011	209	34	represents	represent	VERB
cana-1011	209	35	the	the	DET
cana-1011	209	36	number	number	NOUN
cana-1011	209	37	of	of	ADP
cana-1011	209	38	words	word	NOUN
cana-1011	209	39	in	in	ADP
cana-1011	209	40	the	the	DET
cana-1011	209	41	window	window	NOUN
cana-1011	209	42	and	and	CCONJ
cana-1011	209	43	"	"	PUNCT
cana-1011	209	44	j	j	NOUN
cana-1011	209	45	"	"	PUNCT
cana-1011	209	46	represents	represent	VERB
cana-1011	209	47	the	the	DET
cana-1011	209	48	dimension	dimension	NOUN
cana-1011	209	49	of	of	ADP
cana-1011	209	50	the	the	DET
cana-1011	209	51	word	word	NOUN
cana-1011	209	52	vector	vector	NOUN
cana-1011	209	53	.	.	PUNCT
cana-1011	210	1	maximum	maximum	ADJ
cana-1011	210	2	features	feature	NOUN
cana-1011	210	3	are	be	AUX
cana-1011	210	4	retrieved	retrieve	VERB
cana-1011	210	5	using	use	VERB
cana-1011	210	6	a	a	DET
cana-1011	210	7	number	number	NOUN
cana-1011	210	8	of	of	ADP
cana-1011	210	9	filters	filter	NOUN
cana-1011	210	10	,	,	PUNCT
cana-1011	210	11	each	each	PRON
cana-1011	210	12	with	with	ADP
cana-1011	210	13	its	its	PRON
cana-1011	210	14	own	own	ADJ
cana-1011	210	15	set	set	NOUN
cana-1011	210	16	of	of	ADP
cana-1011	210	17	parameters	parameter	NOUN
cana-1011	210	18	.	.	PUNCT
cana-1011	211	1	now	now	ADV
cana-1011	211	2	that	that	SCONJ
cana-1011	211	3	the	the	DET
cana-1011	211	4	features	feature	NOUN
cana-1011	211	5	have	have	AUX
cana-1011	211	6	been	be	AUX
cana-1011	211	7	retrieved	retrieve	VERB
cana-1011	211	8	,	,	PUNCT
cana-1011	211	9	they	they	PRON
cana-1011	211	10	are	be	AUX
cana-1011	211	11	sent	send	VERB
cana-1011	211	12	to	to	ADP
cana-1011	211	13	a	a	DET
cana-1011	211	14	flatten	flatten	ADJ
cana-1011	211	15	layer	layer	NOUN
cana-1011	211	16	,	,	PUNCT
cana-1011	211	17	where	where	SCONJ
cana-1011	211	18	max	max	PROPN
cana-1011	211	19	pooling	pooling	NOUN
cana-1011	211	20	plus	plus	CCONJ
cana-1011	211	21	activation	activation	NOUN
cana-1011	211	22	functions	function	NOUN
cana-1011	211	23	are	be	AUX
cana-1011	211	24	used	use	VERB
cana-1011	211	25	to	to	PART
cana-1011	211	26	generate	generate	VERB
cana-1011	211	27	the	the	DET
cana-1011	211	28	highest	high	ADJ
cana-1011	211	29	possible	possible	ADJ
cana-1011	211	30	probability	probability	NOUN
cana-1011	211	31	.	.	PUNCT
cana-1011	212	1	the	the	DET
cana-1011	212	2	characteristics	characteristic	NOUN
cana-1011	212	3	in	in	ADP
cana-1011	212	4	this	this	DET
cana-1011	212	5	deep	deep	ADJ
cana-1011	212	6	hybrid	hybrid	NOUN
cana-1011	212	7	framework	framework	NOUN
cana-1011	212	8	were	be	AUX
cana-1011	212	9	extracted	extract	VERB
cana-1011	212	10	using	use	VERB
cana-1011	212	11	a	a	DET
cana-1011	212	12	combination	combination	NOUN
cana-1011	212	13	of	of	ADP
cana-1011	212	14	a	a	DET
cana-1011	212	15	recurrent	recurrent	ADJ
cana-1011	212	16	neural	neural	ADJ
cana-1011	212	17	network	network	NOUN
cana-1011	212	18	and	and	CCONJ
cana-1011	212	19	a	a	DET
cana-1011	212	20	long	long	ADJ
cana-1011	212	21	short	short	ADJ
cana-1011	212	22	-	-	PUNCT
cana-1011	212	23	term	term	NOUN
cana-1011	212	24	memory	memory	NOUN
cana-1011	212	25	network	network	NOUN
cana-1011	212	26	.	.	PUNCT
cana-1011	213	1	feature	feature	NOUN
cana-1011	213	2	vectors	vector	NOUN
cana-1011	213	3	were	be	AUX
cana-1011	213	4	communications	communication	NOUN
cana-1011	213	5	on	on	ADP
cana-1011	213	6	applied	apply	VERB
cana-1011	213	7	nonlinear	nonlinear	ADJ
cana-1011	213	8	analysis	analysis	NOUN
cana-1011	213	9	issn	issn	NOUN
cana-1011	213	10	:	:	PUNCT
cana-1011	213	11	1074	1074	NUM
cana-1011	213	12	-	-	PUNCT
cana-1011	213	13	133x	133x	NUM
cana-1011	213	14	vol	vol	NOUN
cana-1011	213	15	31	31	NUM
cana-1011	213	16	no	no	NOUN
cana-1011	213	17	.	.	PUNCT
cana-1011	214	1	5s	5s	NUM
cana-1011	214	2	(	(	PUNCT
cana-1011	214	3	2024	2024	NUM
cana-1011	214	4	)	)	PUNCT
cana-1011	214	5	176	176	NUM
cana-1011	214	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1011	214	7	generated	generate	VERB
cana-1011	214	8	using	use	VERB
cana-1011	214	9	feature	feature	NOUN
cana-1011	214	10	extraction	extraction	NOUN
cana-1011	214	11	.	.	PUNCT
cana-1011	215	1	the	the	DET
cana-1011	215	2	feature	feature	NOUN
cana-1011	215	3	extraction	extraction	NOUN
cana-1011	215	4	process	process	NOUN
cana-1011	215	5	does	do	AUX
cana-1011	215	6	not	not	PART
cana-1011	215	7	require	require	VERB
cana-1011	215	8	any	any	DET
cana-1011	215	9	human	human	ADJ
cana-1011	215	10	intervention	intervention	NOUN
cana-1011	215	11	.	.	PUNCT
cana-1011	216	1	the	the	DET
cana-1011	216	2	deep	deep	ADJ
cana-1011	216	3	neural	neural	ADJ
cana-1011	216	4	network	network	NOUN
cana-1011	216	5	extracts	extract	NOUN
cana-1011	216	6	features	feature	VERB
cana-1011	216	7	effectively	effectively	ADV
cana-1011	216	8	by	by	ADP
cana-1011	216	9	using	use	VERB
cana-1011	216	10	2d	2d	NUM
cana-1011	216	11	convolution	convolution	NOUN
cana-1011	216	12	&	&	CCONJ
cana-1011	216	13	max	max	PROPN
cana-1011	216	14	pooling	pooling	PROPN
cana-1011	216	15	.	.	PUNCT
cana-1011	217	1	the	the	DET
cana-1011	217	2	number	number	NOUN
cana-1011	217	3	of	of	ADP
cana-1011	217	4	dnn	dnn	PROPN
cana-1011	217	5	layers	layer	NOUN
cana-1011	217	6	utilized	utilize	VERB
cana-1011	217	7	is	be	AUX
cana-1011	217	8	a	a	DET
cana-1011	217	9	function	function	NOUN
cana-1011	217	10	of	of	ADP
cana-1011	217	11	the	the	DET
cana-1011	217	12	complexity	complexity	NOUN
cana-1011	217	13	of	of	ADP
cana-1011	217	14	the	the	DET
cana-1011	217	15	input	input	NOUN
cana-1011	217	16	.	.	PUNCT
cana-1011	218	1	the	the	DET
cana-1011	218	2	filter	filter	NOUN
cana-1011	218	3	price	price	NOUN
cana-1011	218	4	,	,	PUNCT
cana-1011	218	5	kernel	kernel	NOUN
cana-1011	218	6	size	size	NOUN
cana-1011	218	7	,	,	PUNCT
cana-1011	218	8	and	and	CCONJ
cana-1011	218	9	activation	activation	NOUN
cana-1011	218	10	function	function	NOUN
cana-1011	218	11	all	all	PRON
cana-1011	218	12	play	play	VERB
cana-1011	218	13	a	a	DET
cana-1011	218	14	role	role	NOUN
cana-1011	218	15	in	in	ADP
cana-1011	218	16	the	the	DET
cana-1011	218	17	feature	feature	NOUN
cana-1011	218	18	extraction	extraction	NOUN
cana-1011	218	19	process	process	NOUN
cana-1011	218	20	.	.	PUNCT
cana-1011	219	1	the	the	DET
cana-1011	219	2	flattened	flatten	VERB
cana-1011	219	3	layer	layer	NOUN
cana-1011	219	4	is	be	AUX
cana-1011	219	5	then	then	ADV
cana-1011	219	6	used	use	VERB
cana-1011	219	7	in	in	ADP
cana-1011	219	8	the	the	DET
cana-1011	219	9	flattening	flattening	NOUN
cana-1011	219	10	process	process	NOUN
cana-1011	219	11	,	,	PUNCT
cana-1011	219	12	and	and	CCONJ
cana-1011	219	13	vectors	vector	NOUN
cana-1011	219	14	of	of	ADP
cana-1011	219	15	features	feature	NOUN
cana-1011	219	16	are	be	AUX
cana-1011	219	17	generated	generate	VERB
cana-1011	219	18	.	.	PUNCT
cana-1011	220	1	the	the	DET
cana-1011	220	2	final	final	ADJ
cana-1011	220	3	classification	classification	NOUN
cana-1011	220	4	will	will	AUX
cana-1011	220	5	be	be	AUX
cana-1011	220	6	carried	carry	VERB
cana-1011	220	7	out	out	ADP
cana-1011	220	8	in	in	ADP
cana-1011	220	9	the	the	DET
cana-1011	220	10	subsequent	subsequent	ADJ
cana-1011	220	11	module	module	NOUN
cana-1011	220	12	using	use	VERB
cana-1011	220	13	the	the	DET
cana-1011	220	14	standard	standard	ADJ
cana-1011	220	15	machine	machine	NOUN
cana-1011	220	16	learning	learn	VERB
cana-1011	220	17	classifier	classifier	NOUN
cana-1011	220	18	.	.	PUNCT
cana-1011	221	1	this	this	PRON
cana-1011	221	2	can	can	AUX
cana-1011	221	3	therefore	therefore	ADV
cana-1011	221	4	be	be	AUX
cana-1011	221	5	implemented	implement	VERB
cana-1011	221	6	on	on	ADP
cana-1011	221	7	major	major	ADJ
cana-1011	221	8	search	search	NOUN
cana-1011	221	9	engines	engine	NOUN
cana-1011	221	10	such	such	ADJ
cana-1011	221	11	as	as	ADP
cana-1011	221	12	yahoo	yahoo	PROPN
cana-1011	221	13	,	,	PUNCT
cana-1011	221	14	google	google	NOUN
cana-1011	221	15	,	,	PUNCT
cana-1011	221	16	bing	bing	NOUN
cana-1011	221	17	,	,	PUNCT
cana-1011	221	18	etc	etc	X
cana-1011	221	19	.	.	X
cana-1011	222	1	4	4	X
cana-1011	222	2	.	.	X
cana-1011	222	3	experimental	experimental	ADJ
cana-1011	222	4	analysis	analysis	NOUN
cana-1011	222	5	:	:	PUNCT
cana-1011	222	6	the	the	DET
cana-1011	222	7	kaggle	kaggle	ADJ
cana-1011	222	8	standard	standard	PROPN
cana-1011	222	9	dataset	dataset	NOUN
cana-1011	222	10	is	be	AUX
cana-1011	222	11	used	use	VERB
cana-1011	222	12	for	for	ADP
cana-1011	222	13	model	model	NOUN
cana-1011	222	14	evaluation	evaluation	NOUN
cana-1011	222	15	.	.	PUNCT
cana-1011	223	1	this	this	DET
cana-1011	223	2	research	research	NOUN
cana-1011	223	3	makes	make	VERB
cana-1011	223	4	use	use	NOUN
cana-1011	223	5	of	of	ADP
cana-1011	223	6	a	a	DET
cana-1011	223	7	dataset	dataset	NOUN
cana-1011	223	8	(	(	PUNCT
cana-1011	223	9	websearchchallenge.csv	websearchchallenge.csv	NOUN
cana-1011	223	10	)	)	PUNCT
cana-1011	223	11	collected	collect	VERB
cana-1011	223	12	from	from	ADP
cana-1011	223	13	the	the	DET
cana-1011	223	14	website	website	NOUN
cana-1011	223	15	kaggle	kaggle	NOUN
cana-1011	223	16	.	.	PUNCT
cana-1011	224	1	the	the	DET
cana-1011	224	2	kaggle	kaggle	ADJ
cana-1011	224	3	page	page	NOUN
cana-1011	224	4	for	for	ADP
cana-1011	224	5	the	the	DET
cana-1011	224	6	yandex	yandex	NOUN
cana-1011	224	7	personalised	personalise	VERB
cana-1011	224	8	web	web	NOUN
cana-1011	224	9	search	search	NOUN
cana-1011	224	10	challenge	challenge	NOUN
cana-1011	224	11	is	be	AUX
cana-1011	224	12	https://www.kaggle.com/competitions/.	https://www.kaggle.com/competitions/.	NOUN
cana-1011	224	13	consolidating	consolidate	VERB
cana-1011	224	14	and	and	CCONJ
cana-1011	224	15	evaluating	evaluate	VERB
cana-1011	224	16	the	the	DET
cana-1011	224	17	work	work	NOUN
cana-1011	224	18	done	do	VERB
cana-1011	224	19	in	in	ADP
cana-1011	224	20	commercial	commercial	ADJ
cana-1011	224	21	labs	lab	NOUN
cana-1011	224	22	to	to	PART
cana-1011	224	23	personalise	personalise	VERB
cana-1011	224	24	web	web	NOUN
cana-1011	224	25	search	search	NOUN
cana-1011	224	26	employing	employ	VERB
cana-1011	224	27	user	user	NOUN
cana-1011	224	28	-	-	PUNCT
cana-1011	224	29	logged	log	VERB
cana-1011	224	30	search	search	NOUN
cana-1011	224	31	behaviour	behaviour	NOUN
cana-1011	224	32	context	context	NOUN
cana-1011	224	33	is	be	AUX
cana-1011	224	34	made	make	VERB
cana-1011	224	35	possible	possible	ADJ
cana-1011	224	36	by	by	ADP
cana-1011	224	37	the	the	DET
cana-1011	224	38	personalised	personalised	ADJ
cana-1011	224	39	web	web	NOUN
cana-1011	224	40	search	search	NOUN
cana-1011	224	41	challenge	challenge	NOUN
cana-1011	224	42	.	.	PUNCT
cana-1011	225	1	anonymized	anonymize	VERB
cana-1011	225	2	user	user	NOUN
cana-1011	225	3	identifiers	identifier	NOUN
cana-1011	225	4	,	,	PUNCT
cana-1011	225	5	searches	search	NOUN
cana-1011	225	6	,	,	PUNCT
cana-1011	225	7	query	query	NOUN
cana-1011	225	8	phrases	phrase	NOUN
cana-1011	225	9	,	,	PUNCT
cana-1011	225	10	urls	url	NOUN
cana-1011	225	11	,	,	PUNCT
cana-1011	225	12	url	url	NOUN
cana-1011	225	13	domains	domain	NOUN
cana-1011	225	14	,	,	PUNCT
cana-1011	225	15	and	and	CCONJ
cana-1011	225	16	clicks	click	NOUN
cana-1011	225	17	are	be	AUX
cana-1011	225	18	all	all	PRON
cana-1011	225	19	included	include	VERB
cana-1011	225	20	in	in	ADP
cana-1011	225	21	the	the	DET
cana-1011	225	22	shared	share	VERB
cana-1011	225	23	dataset	dataset	NOUN
cana-1011	225	24	provided	provide	VERB
cana-1011	225	25	by	by	ADP
cana-1011	225	26	the	the	DET
cana-1011	225	27	yandex	yandex	NOUN
cana-1011	225	28	search	search	NOUN
cana-1011	225	29	engine	engine	NOUN
cana-1011	225	30	.	.	PUNCT
cana-1011	226	1	there	there	PRON
cana-1011	226	2	are	be	VERB
cana-1011	226	3	a	a	DET
cana-1011	226	4	total	total	NOUN
cana-1011	226	5	of	of	ADP
cana-1011	226	6	21,073,569	21,073,569	NUM
cana-1011	226	7	distinct	distinct	ADJ
cana-1011	226	8	queries	query	NOUN
cana-1011	226	9	in	in	ADP
cana-1011	226	10	the	the	DET
cana-1011	226	11	dataset	dataset	NOUN
cana-1011	226	12	.	.	PUNCT
cana-1011	227	1	stop	stop	VERB
cana-1011	227	2	words	word	NOUN
cana-1011	227	3	,	,	PUNCT
cana-1011	227	4	punctuation	punctuation	NOUN
cana-1011	227	5	,	,	PUNCT
cana-1011	227	6	and	and	CCONJ
cana-1011	227	7	the	the	DET
cana-1011	227	8	like	like	NOUN
cana-1011	227	9	are	be	AUX
cana-1011	227	10	cleaned	clean	VERB
cana-1011	227	11	out	out	ADP
cana-1011	227	12	of	of	ADP
cana-1011	227	13	the	the	DET
cana-1011	227	14	data	datum	NOUN
cana-1011	227	15	before	before	SCONJ
cana-1011	227	16	it	it	PRON
cana-1011	227	17	's	be	AUX
cana-1011	227	18	used	use	VERB
cana-1011	227	19	.	.	PUNCT
cana-1011	228	1	after	after	ADP
cana-1011	228	2	the	the	DET
cana-1011	228	3	initial	initial	ADJ
cana-1011	228	4	processing	processing	NOUN
cana-1011	228	5	,	,	PUNCT
cana-1011	228	6	the	the	DET
cana-1011	228	7	word	word	NOUN
cana-1011	228	8	encoding	encode	VERB
cana-1011	228	9	layer	layer	NOUN
cana-1011	228	10	separates	separate	VERB
cana-1011	228	11	the	the	DET
cana-1011	228	12	data	datum	NOUN
cana-1011	228	13	into	into	ADP
cana-1011	228	14	test	test	NOUN
cana-1011	228	15	and	and	CCONJ
cana-1011	228	16	train	train	NOUN
cana-1011	228	17	sets	set	NOUN
cana-1011	228	18	.	.	PUNCT
cana-1011	229	1	the	the	DET
cana-1011	229	2	rnnlstm	rnnlstm	NOUN
cana-1011	229	3	model	model	NOUN
cana-1011	229	4	is	be	AUX
cana-1011	229	5	used	use	VERB
cana-1011	229	6	to	to	PART
cana-1011	229	7	analyse	analyse	VERB
cana-1011	229	8	train	train	NOUN
cana-1011	229	9	data	datum	NOUN
cana-1011	229	10	.	.	PUNCT
cana-1011	230	1	only	only	ADV
cana-1011	230	2	the	the	DET
cana-1011	230	3	machine	machine	NOUN
cana-1011	230	4	learning	learn	VERB
cana-1011	230	5	test	test	NOUN
cana-1011	230	6	data	datum	NOUN
cana-1011	230	7	should	should	AUX
cana-1011	230	8	be	be	AUX
cana-1011	230	9	used	use	VERB
cana-1011	230	10	for	for	ADP
cana-1011	230	11	actual	actual	ADJ
cana-1011	230	12	testing	testing	NOUN
cana-1011	230	13	.	.	PUNCT
cana-1011	231	1	the	the	DET
cana-1011	231	2	document	document	NOUN
cana-1011	231	3	can	can	AUX
cana-1011	231	4	be	be	AUX
cana-1011	231	5	efficiently	efficiently	ADV
cana-1011	231	6	pre	pre	VERB
cana-1011	231	7	-	-	VERB
cana-1011	231	8	processed	processed	ADJ
cana-1011	231	9	to	to	PART
cana-1011	231	10	get	get	VERB
cana-1011	231	11	features	feature	NOUN
cana-1011	231	12	for	for	ADP
cana-1011	231	13	feature	feature	NOUN
cana-1011	231	14	extraction	extraction	NOUN
cana-1011	231	15	.	.	PUNCT
cana-1011	232	1	in	in	ADP
cana-1011	232	2	our	our	PRON
cana-1011	232	3	suggested	suggest	VERB
cana-1011	232	4	hybrid	hybrid	ADJ
cana-1011	232	5	model	model	NOUN
cana-1011	232	6	,	,	PUNCT
cana-1011	232	7	feature	feature	NOUN
cana-1011	232	8	extraction	extraction	NOUN
cana-1011	232	9	is	be	AUX
cana-1011	232	10	handled	handle	VERB
cana-1011	232	11	by	by	ADP
cana-1011	232	12	a	a	DET
cana-1011	232	13	couple	couple	NOUN
cana-1011	232	14	rnn	rnn	NOUN
cana-1011	232	15	-	-	PUNCT
cana-1011	232	16	lstm	lstm	ADJ
cana-1011	232	17	layers	layer	NOUN
cana-1011	232	18	.	.	PUNCT
cana-1011	233	1	word2vec	word2vec	X
cana-1011	233	2	embedding	embed	VERB
cana-1011	233	3	technique	technique	NOUN
cana-1011	233	4	is	be	AUX
cana-1011	233	5	used	use	VERB
cana-1011	233	6	to	to	PART
cana-1011	233	7	segment	segment	VERB
cana-1011	233	8	words	word	NOUN
cana-1011	233	9	from	from	ADP
cana-1011	233	10	a	a	DET
cana-1011	233	11	text	text	NOUN
cana-1011	233	12	document	document	NOUN
cana-1011	233	13	.	.	PUNCT
cana-1011	234	1	each	each	DET
cana-1011	234	2	word	word	NOUN
cana-1011	234	3	in	in	ADP
cana-1011	234	4	the	the	DET
cana-1011	234	5	text	text	NOUN
cana-1011	234	6	has	have	AUX
cana-1011	234	7	been	be	AUX
cana-1011	234	8	transformed	transform	VERB
cana-1011	234	9	into	into	ADP
cana-1011	234	10	its	its	PRON
cana-1011	234	11	own	own	ADJ
cana-1011	234	12	unique	unique	ADJ
cana-1011	234	13	index	index	NOUN
cana-1011	234	14	.	.	PUNCT
cana-1011	235	1	there	there	PRON
cana-1011	235	2	's	be	VERB
cana-1011	235	3	a	a	DET
cana-1011	235	4	cap	cap	NOUN
cana-1011	235	5	of	of	ADP
cana-1011	235	6	100	100	NUM
cana-1011	235	7	characters	character	NOUN
cana-1011	235	8	,	,	PUNCT
cana-1011	235	9	and	and	CCONJ
cana-1011	235	10	a	a	DET
cana-1011	235	11	floor	floor	NOUN
cana-1011	235	12	of	of	ADP
cana-1011	235	13	8	8	NUM
cana-1011	235	14	.	.	PUNCT
cana-1011	236	1	the	the	DET
cana-1011	236	2	model	model	NOUN
cana-1011	236	3	's	's	PART
cana-1011	236	4	input	input	NOUN
cana-1011	236	5	length	length	NOUN
cana-1011	236	6	has	have	AUX
cana-1011	236	7	been	be	AUX
cana-1011	236	8	set	set	VERB
cana-1011	236	9	to	to	ADP
cana-1011	236	10	85	85	NUM
cana-1011	236	11	to	to	PART
cana-1011	236	12	improve	improve	VERB
cana-1011	236	13	model	model	NOUN
cana-1011	236	14	performance	performance	NOUN
cana-1011	236	15	.	.	PUNCT
cana-1011	237	1	sequences	sequence	NOUN
cana-1011	237	2	shorter	short	ADJ
cana-1011	237	3	than	than	ADP
cana-1011	237	4	35	35	NUM
cana-1011	237	5	had	have	VERB
cana-1011	237	6	leading	lead	VERB
cana-1011	237	7	zeros	zero	NOUN
cana-1011	237	8	inserted	insert	VERB
cana-1011	237	9	,	,	PUNCT
cana-1011	237	10	and	and	CCONJ
cana-1011	237	11	those	those	DET
cana-1011	237	12	longer	long	ADJ
cana-1011	237	13	than	than	ADP
cana-1011	237	14	35	35	NUM
cana-1011	237	15	have	have	AUX
cana-1011	237	16	been	be	AUX
cana-1011	237	17	cut	cut	VERB
cana-1011	237	18	off	off	ADP
cana-1011	237	19	.	.	PUNCT
cana-1011	238	1	rnns	rnn	NOUN
cana-1011	238	2	use	use	VERB
cana-1011	238	3	feedback	feedback	NOUN
cana-1011	238	4	loops	loop	NOUN
cana-1011	238	5	for	for	ADP
cana-1011	238	6	serial	serial	ADJ
cana-1011	238	7	processing	processing	NOUN
cana-1011	238	8	and	and	CCONJ
cana-1011	238	9	memory	memory	NOUN
cana-1011	238	10	preservation	preservation	NOUN
cana-1011	238	11	;	;	PUNCT
cana-1011	238	12	the	the	DET
cana-1011	238	13	parameters	parameter	NOUN
cana-1011	238	14	for	for	ADP
cana-1011	238	15	the	the	DET
cana-1011	238	16	convolutional	convolutional	ADJ
cana-1011	238	17	layer	layer	NOUN
cana-1011	238	18	were	be	AUX
cana-1011	238	19	48	48	NUM
cana-1011	238	20	filters	filter	NOUN
cana-1011	238	21	,	,	PUNCT
cana-1011	238	22	a	a	DET
cana-1011	238	23	kernel	kernel	NOUN
cana-1011	238	24	size	size	NOUN
cana-1011	238	25	of	of	ADP
cana-1011	238	26	16	16	NUM
cana-1011	238	27	,	,	PUNCT
cana-1011	238	28	and	and	CCONJ
cana-1011	238	29	the	the	DET
cana-1011	238	30	relu	relu	NOUN
cana-1011	238	31	activation	activation	NOUN
cana-1011	238	32	function	function	NOUN
cana-1011	238	33	.	.	PUNCT
cana-1011	239	1	the	the	DET
cana-1011	239	2	next	next	ADJ
cana-1011	239	3	layer	layer	NOUN
cana-1011	239	4	,	,	PUNCT
cana-1011	239	5	an	an	DET
cana-1011	239	6	lstm	lstm	NOUN
cana-1011	239	7	with	with	ADP
cana-1011	239	8	256	256	NUM
cana-1011	239	9	neurons	neuron	NOUN
cana-1011	239	10	,	,	PUNCT
cana-1011	239	11	receives	receive	VERB
cana-1011	239	12	the	the	DET
cana-1011	239	13	layer	layer	NOUN
cana-1011	239	14	's	's	PART
cana-1011	239	15	output	output	NOUN
cana-1011	239	16	.	.	PUNCT
cana-1011	240	1	the	the	DET
cana-1011	240	2	best	good	ADJ
cana-1011	240	3	features	feature	NOUN
cana-1011	240	4	were	be	AUX
cana-1011	240	5	picked	pick	VERB
cana-1011	240	6	out	out	ADP
cana-1011	240	7	using	use	VERB
cana-1011	240	8	the	the	DET
cana-1011	240	9	lstm	lstm	ADJ
cana-1011	240	10	layer	layer	NOUN
cana-1011	240	11	's	's	PART
cana-1011	240	12	probability	probability	NOUN
cana-1011	240	13	value	value	NOUN
cana-1011	240	14	and	and	CCONJ
cana-1011	240	15	loss	loss	NOUN
cana-1011	240	16	function	function	NOUN
cana-1011	240	17	,	,	PUNCT
cana-1011	240	18	then	then	ADV
cana-1011	240	19	fed	feed	VERB
cana-1011	240	20	into	into	ADP
cana-1011	240	21	the	the	DET
cana-1011	240	22	machine	machine	NOUN
cana-1011	240	23	learning	learning	NOUN
cana-1011	240	24	algorithm	algorithm	NOUN
cana-1011	240	25	.	.	PUNCT
cana-1011	241	1	adaboost	adaboost	PROPN
cana-1011	241	2	&	&	CCONJ
cana-1011	241	3	xgboost	xgboost	PROPN
cana-1011	241	4	algorithms	algorithm	NOUN
cana-1011	241	5	are	be	AUX
cana-1011	241	6	applied	apply	VERB
cana-1011	241	7	on	on	ADP
cana-1011	241	8	bing	bing	NOUN
cana-1011	241	9	and	and	CCONJ
cana-1011	241	10	duckduckgo	duckduckgo	PROPN
cana-1011	241	11	results	result	NOUN
cana-1011	241	12	to	to	PART
cana-1011	241	13	determine	determine	VERB
cana-1011	241	14	the	the	DET
cana-1011	241	15	efficacy	efficacy	NOUN
cana-1011	241	16	of	of	ADP
cana-1011	241	17	the	the	DET
cana-1011	241	18	suggested	suggest	VERB
cana-1011	241	19	hybrid	hybrid	ADJ
cana-1011	241	20	model	model	NOUN
cana-1011	241	21	.	.	PUNCT
cana-1011	242	1	5	5	X
cana-1011	242	2	.	.	NOUN
cana-1011	242	3	results	result	NOUN
cana-1011	242	4	and	and	CCONJ
cana-1011	242	5	evaluation	evaluation	NOUN
cana-1011	242	6	:	:	PUNCT
cana-1011	242	7	python	python	NOUN
cana-1011	242	8	simulations	simulation	NOUN
cana-1011	242	9	of	of	ADP
cana-1011	242	10	our	our	PRON
cana-1011	242	11	proposed	propose	VERB
cana-1011	242	12	rnn	rnn	PROPN
cana-1011	242	13	-	-	PUNCT
cana-1011	242	14	lstm	lstm	ADJ
cana-1011	242	15	algorithm	algorithm	NOUN
cana-1011	242	16	have	have	AUX
cana-1011	242	17	been	be	AUX
cana-1011	242	18	run	run	VERB
cana-1011	242	19	with	with	ADP
cana-1011	242	20	various	various	ADJ
cana-1011	242	21	settings	setting	NOUN
cana-1011	242	22	representative	representative	NOUN
cana-1011	242	23	of	of	ADP
cana-1011	242	24	industry	industry	NOUN
cana-1011	242	25	practise	practise	NOUN
cana-1011	242	26	and	and	CCONJ
cana-1011	242	27	tailored	tailor	VERB
cana-1011	242	28	to	to	ADP
cana-1011	242	29	the	the	DET
cana-1011	242	30	datasets	dataset	NOUN
cana-1011	242	31	accessible	accessible	ADJ
cana-1011	242	32	via	via	ADP
cana-1011	242	33	the	the	DET
cana-1011	242	34	two	two	NUM
cana-1011	242	35	most	most	ADV
cana-1011	242	36	popular	popular	ADJ
cana-1011	242	37	search	search	NOUN
cana-1011	242	38	engines	engine	NOUN
cana-1011	242	39	.	.	PUNCT
cana-1011	243	1	the	the	DET
cana-1011	243	2	web	web	NOUN
cana-1011	243	3	searches	search	NOUN
cana-1011	243	4	challenge	challenge	VERB
cana-1011	243	5	dataset	dataset	NOUN
cana-1011	243	6	was	be	AUX
cana-1011	243	7	used	use	VERB
cana-1011	243	8	to	to	PART
cana-1011	243	9	train	train	VERB
cana-1011	243	10	our	our	PRON
cana-1011	243	11	proposed	propose	VERB
cana-1011	243	12	rnn	rnn	NOUN
cana-1011	243	13	-	-	PUNCT
cana-1011	243	14	lstm	lstm	PROPN
cana-1011	243	15	algorithm	algorithm	NOUN
cana-1011	243	16	,	,	PUNCT
cana-1011	243	17	and	and	CCONJ
cana-1011	243	18	its	its	PRON
cana-1011	243	19	outcomes	outcome	NOUN
cana-1011	243	20	were	be	AUX
cana-1011	243	21	analysed	analyse	VERB
cana-1011	243	22	.	.	PUNCT
cana-1011	244	1	we	we	PRON
cana-1011	244	2	have	have	AUX
cana-1011	244	3	used	use	VERB
cana-1011	244	4	the	the	DET
cana-1011	244	5	web	web	NOUN
cana-1011	244	6	search	search	NOUN
cana-1011	244	7	challenge	challenge	NOUN
cana-1011	244	8	dataset	dataset	VERB
cana-1011	244	9	to	to	PART
cana-1011	244	10	evaluate	evaluate	VERB
cana-1011	244	11	our	our	PRON
cana-1011	244	12	suggested	suggest	VERB
cana-1011	244	13	approach	approach	NOUN
cana-1011	244	14	in	in	ADP
cana-1011	244	15	bing	bing	NOUN
cana-1011	244	16	&	&	CCONJ
cana-1011	244	17	duck	duck	NOUN
cana-1011	244	18	duck	duck	NOUN
cana-1011	244	19	go	go	VERB
cana-1011	244	20	search	search	NOUN
cana-1011	244	21	engines	engine	NOUN
cana-1011	244	22	,	,	PUNCT
cana-1011	244	23	along	along	ADP
cana-1011	244	24	with	with	ADP
cana-1011	244	25	other	other	ADJ
cana-1011	244	26	similar	similar	ADJ
cana-1011	244	27	algorithms	algorithm	NOUN
cana-1011	244	28	like	like	ADP
cana-1011	244	29	lstm	lstm	NOUN
cana-1011	244	30	,	,	PUNCT
cana-1011	244	31	adaboost	adaboost	ADV
cana-1011	244	32	,	,	PUNCT
cana-1011	244	33	and	and	CCONJ
cana-1011	244	34	xgboost	xgboost	X
cana-1011	244	35	.	.	PUNCT
cana-1011	245	1	the	the	DET
cana-1011	245	2	effectiveness	effectiveness	NOUN
cana-1011	245	3	of	of	ADP
cana-1011	245	4	these	these	DET
cana-1011	245	5	deep	deep	ADJ
cana-1011	245	6	learning	learning	NOUN
cana-1011	245	7	algorithms	algorithm	NOUN
cana-1011	245	8	is	be	AUX
cana-1011	245	9	measured	measure	VERB
cana-1011	245	10	using	use	VERB
cana-1011	245	11	a	a	DET
cana-1011	245	12	confusion	confusion	NOUN
cana-1011	245	13	matrix	matrix	NOUN
cana-1011	245	14	.	.	PUNCT
cana-1011	246	1	accuracy	accuracy	NOUN
cana-1011	246	2	,	,	PUNCT
cana-1011	246	3	precision	precision	NOUN
cana-1011	246	4	,	,	PUNCT
cana-1011	246	5	recall	recall	NOUN
cana-1011	246	6	,	,	PUNCT
cana-1011	246	7	and	and	CCONJ
cana-1011	246	8	f1	f1	NOUN
cana-1011	246	9	-	-	PUNCT
cana-1011	246	10	score	score	NOUN
cana-1011	246	11	are	be	AUX
cana-1011	246	12	just	just	ADV
cana-1011	246	13	few	few	ADJ
cana-1011	246	14	of	of	ADP
cana-1011	246	15	the	the	DET
cana-1011	246	16	statistical	statistical	ADJ
cana-1011	246	17	criteria	criterion	NOUN
cana-1011	246	18	used	use	VERB
cana-1011	246	19	in	in	ADP
cana-1011	246	20	evaluating	evaluate	VERB
cana-1011	246	21	communications	communication	NOUN
cana-1011	246	22	on	on	ADP
cana-1011	246	23	applied	apply	VERB
cana-1011	246	24	nonlinear	nonlinear	ADJ
cana-1011	246	25	analysis	analysis	NOUN
cana-1011	246	26	issn	issn	NOUN
cana-1011	246	27	:	:	PUNCT
cana-1011	246	28	1074	1074	NUM
cana-1011	246	29	-	-	PUNCT
cana-1011	246	30	133x	133x	NUM
cana-1011	246	31	vol	vol	NOUN
cana-1011	246	32	31	31	NUM
cana-1011	246	33	no	no	NOUN
cana-1011	246	34	.	.	PUNCT
cana-1011	247	1	5s	5s	NUM
cana-1011	247	2	(	(	PUNCT
cana-1011	247	3	2024	2024	NUM
cana-1011	247	4	)	)	PUNCT
cana-1011	247	5	177	177	NUM
cana-1011	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	247	7	different	different	ADJ
cana-1011	247	8	deep	deep	ADJ
cana-1011	247	9	learning	learning	NOUN
cana-1011	247	10	techniques	technique	NOUN
cana-1011	247	11	,	,	PUNCT
cana-1011	247	12	and	and	CCONJ
cana-1011	247	13	these	these	DET
cana-1011	247	14	matrices	matrix	NOUN
cana-1011	247	15	of	of	ADP
cana-1011	247	16	confusion	confusion	NOUN
cana-1011	247	17	have	have	AUX
cana-1011	247	18	been	be	AUX
cana-1011	247	19	put	put	VERB
cana-1011	247	20	to	to	ADP
cana-1011	247	21	good	good	ADJ
cana-1011	247	22	use	use	NOUN
cana-1011	247	23	in	in	ADP
cana-1011	247	24	this	this	DET
cana-1011	247	25	process	process	NOUN
cana-1011	247	26	.	.	PUNCT
cana-1011	248	1	it	it	PRON
cana-1011	248	2	's	be	AUX
cana-1011	248	3	laid	lay	VERB
cana-1011	248	4	out	out	ADP
cana-1011	248	5	as	as	ADP
cana-1011	248	6	a	a	DET
cana-1011	248	7	table	table	NOUN
cana-1011	248	8	with	with	ADP
cana-1011	248	9	the	the	DET
cana-1011	248	10	actual	actual	ADJ
cana-1011	248	11	numbers	number	NOUN
cana-1011	248	12	along	along	ADP
cana-1011	248	13	the	the	DET
cana-1011	248	14	rows	row	NOUN
cana-1011	248	15	and	and	CCONJ
cana-1011	248	16	the	the	DET
cana-1011	248	17	forecasts	forecast	NOUN
cana-1011	248	18	along	along	ADP
cana-1011	248	19	the	the	DET
cana-1011	248	20	columns	column	NOUN
cana-1011	248	21	.	.	PUNCT
cana-1011	249	1	figure	figure	VERB
cana-1011	249	2	6	6	NUM
cana-1011	249	3	depicts	depict	VERB
cana-1011	249	4	a	a	DET
cana-1011	249	5	simplified	simplified	ADJ
cana-1011	249	6	version	version	NOUN
cana-1011	249	7	of	of	ADP
cana-1011	249	8	the	the	DET
cana-1011	249	9	confusion	confusion	NOUN
cana-1011	249	10	matrix	matrix	NOUN
cana-1011	249	11	.	.	PUNCT
cana-1011	250	1	the	the	DET
cana-1011	250	2	outcomes	outcome	NOUN
cana-1011	250	3	of	of	ADP
cana-1011	250	4	the	the	DET
cana-1011	250	5	four	four	NUM
cana-1011	250	6	techniques	technique	NOUN
cana-1011	250	7	are	be	AUX
cana-1011	250	8	provided	provide	VERB
cana-1011	250	9	in	in	ADP
cana-1011	250	10	table1	table1	PROPN
cana-1011	250	11	after	after	ADP
cana-1011	250	12	thorough	thorough	ADJ
cana-1011	250	13	review	review	NOUN
cana-1011	250	14	of	of	ADP
cana-1011	250	15	proposed	propose	VERB
cana-1011	250	16	and	and	CCONJ
cana-1011	250	17	existing	exist	VERB
cana-1011	250	18	systems	system	NOUN
cana-1011	250	19	.	.	PUNCT
cana-1011	251	1	figure	figure	NOUN
cana-1011	251	2	6	6	NUM
cana-1011	251	3	.	.	PUNCT
cana-1011	251	4	confusion	confusion	NOUN
cana-1011	251	5	matrix	matrix	NOUN
cana-1011	251	6	the	the	DET
cana-1011	251	7	prediction	prediction	NOUN
cana-1011	251	8	accuracy	accuracy	NOUN
cana-1011	251	9	is	be	AUX
cana-1011	251	10	utilised	utilise	VERB
cana-1011	251	11	as	as	ADP
cana-1011	251	12	a	a	DET
cana-1011	251	13	metric	metric	NOUN
cana-1011	251	14	to	to	PART
cana-1011	251	15	assess	assess	VERB
cana-1011	251	16	the	the	DET
cana-1011	251	17	efficiency	efficiency	NOUN
cana-1011	251	18	of	of	ADP
cana-1011	251	19	the	the	DET
cana-1011	251	20	proposed	propose	VERB
cana-1011	251	21	rnn	rnn	PROPN
cana-1011	251	22	-	-	PUNCT
cana-1011	251	23	lstm	lstm	PROPN
cana-1011	251	24	based	base	VERB
cana-1011	251	25	hybrid	hybrid	NOUN
cana-1011	251	26	model	model	NOUN
cana-1011	251	27	towards	towards	ADP
cana-1011	251	28	text	text	NOUN
cana-1011	251	29	classification	classification	NOUN
cana-1011	251	30	.	.	PUNCT
cana-1011	252	1	in	in	ADP
cana-1011	252	2	text	text	NOUN
cana-1011	252	3	categorization	categorization	NOUN
cana-1011	252	4	,	,	PUNCT
cana-1011	252	5	accuracy	accuracy	NOUN
cana-1011	252	6	is	be	AUX
cana-1011	252	7	an	an	DET
cana-1011	252	8	often	often	ADV
cana-1011	252	9	measured	measure	VERB
cana-1011	252	10	parameter	parameter	NOUN
cana-1011	252	11	.	.	PUNCT
cana-1011	253	1	the	the	DET
cana-1011	253	2	success	success	NOUN
cana-1011	253	3	rate	rate	NOUN
cana-1011	253	4	of	of	ADP
cana-1011	253	5	a	a	DET
cana-1011	253	6	text	text	NOUN
cana-1011	253	7	classifier	classifier	NOUN
cana-1011	253	8	is	be	AUX
cana-1011	253	9	evaluated	evaluate	VERB
cana-1011	253	10	by	by	ADP
cana-1011	253	11	the	the	DET
cana-1011	253	12	proportion	proportion	NOUN
cana-1011	253	13	of	of	ADP
cana-1011	253	14	correctly	correctly	ADV
cana-1011	253	15	classified	classified	ADJ
cana-1011	253	16	texts	text	NOUN
cana-1011	253	17	.	.	PUNCT
cana-1011	254	1	the	the	DET
cana-1011	254	2	proposed	propose	VERB
cana-1011	254	3	model	model	NOUN
cana-1011	254	4	is	be	AUX
cana-1011	254	5	implemented	implement	VERB
cana-1011	254	6	in	in	ADP
cana-1011	254	7	two	two	NUM
cana-1011	254	8	different	different	ADJ
cana-1011	254	9	search	search	NOUN
cana-1011	254	10	engines	engine	NOUN
cana-1011	254	11	and	and	CCONJ
cana-1011	254	12	then	then	ADV
cana-1011	254	13	tested	test	VERB
cana-1011	254	14	for	for	ADP
cana-1011	254	15	accuracy	accuracy	NOUN
cana-1011	254	16	,	,	PUNCT
cana-1011	254	17	precision	precision	NOUN
cana-1011	254	18	,	,	PUNCT
cana-1011	254	19	recall	recall	NOUN
cana-1011	254	20	,	,	PUNCT
cana-1011	254	21	and	and	CCONJ
cana-1011	254	22	the	the	DET
cana-1011	254	23	f1	f1	NOUN
cana-1011	254	24	-	-	PUNCT
cana-1011	254	25	score	score	NOUN
cana-1011	254	26	.	.	PUNCT
cana-1011	255	1	you	you	PRON
cana-1011	255	2	can	can	AUX
cana-1011	255	3	see	see	VERB
cana-1011	255	4	the	the	DET
cana-1011	255	5	contrast	contrast	NOUN
cana-1011	255	6	in	in	ADP
cana-1011	255	7	table	table	NOUN
cana-1011	255	8	1	1	NUM
cana-1011	255	9	.	.	PUNCT
cana-1011	256	1	table1.experimental	table1.experimental	PROPN
cana-1011	256	2	results	result	NOUN
cana-1011	256	3	of	of	ADP
cana-1011	256	4	various	various	ADJ
cana-1011	256	5	models	model	NOUN
cana-1011	256	6	on	on	ADP
cana-1011	256	7	bing	bing	VERB
cana-1011	256	8	search	search	NOUN
cana-1011	256	9	engine	engine	NOUN
cana-1011	256	10	name	name	NOUN
cana-1011	256	11	of	of	ADP
cana-1011	256	12	the	the	DET
cana-1011	256	13	model	model	NOUN
cana-1011	256	14	bing	bing	NOUN
cana-1011	256	15	search	search	NOUN
cana-1011	256	16	engine	engine	NOUN
cana-1011	256	17	accuracy	accuracy	NOUN
cana-1011	256	18	precision	precision	NOUN
cana-1011	256	19	recall	recall	VERB
cana-1011	256	20	f1	f1	NOUN
cana-1011	256	21	-	-	PUNCT
cana-1011	256	22	score	score	NOUN
cana-1011	256	23	xg	xg	NOUN
cana-1011	256	24	boost	boost	VERB
cana-1011	256	25	83.12	83.12	NUM
cana-1011	256	26	84.57	84.57	NUM
cana-1011	256	27	85.23	85.23	NUM
cana-1011	256	28	87.15	87.15	NUM
cana-1011	256	29	ada	ada	PROPN
cana-1011	256	30	boost	boost	VERB
cana-1011	256	31	86.18	86.18	NUM
cana-1011	256	32	86.98	86.98	NUM
cana-1011	256	33	87.48	87.48	NUM
cana-1011	256	34	88.54	88.54	NUM
cana-1011	256	35	lstm	lstm	NOUN
cana-1011	256	36	89.24	89.24	NUM
cana-1011	256	37	88.75	88.75	NUM
cana-1011	256	38	89.57	89.57	NUM
cana-1011	256	39	90.24	90.24	NUM
cana-1011	256	40	rnn	rnn	NOUN
cana-1011	256	41	-	-	PUNCT
cana-1011	256	42	lstm	lstm	ADJ
cana-1011	256	43	94.58	94.58	NUM
cana-1011	256	44	93.98	93.98	NUM
cana-1011	256	45	95.48	95.48	NUM
cana-1011	256	46	96.15	96.15	NUM
cana-1011	256	47	tables	table	NOUN
cana-1011	256	48	1	1	NUM
cana-1011	256	49	and	and	CCONJ
cana-1011	256	50	2	2	NUM
cana-1011	256	51	show	show	VERB
cana-1011	256	52	that	that	SCONJ
cana-1011	256	53	when	when	SCONJ
cana-1011	256	54	the	the	DET
cana-1011	256	55	suggested	suggest	VERB
cana-1011	256	56	hybrid	hybrid	ADJ
cana-1011	256	57	approach	approach	NOUN
cana-1011	256	58	(	(	PUNCT
cana-1011	256	59	rnn	rnn	NOUN
cana-1011	256	60	-	-	PUNCT
cana-1011	256	61	lstm	lstm	NOUN
cana-1011	256	62	)	)	PUNCT
cana-1011	256	63	was	be	AUX
cana-1011	256	64	pitted	pit	VERB
cana-1011	256	65	against	against	ADP
cana-1011	256	66	the	the	DET
cana-1011	256	67	other	other	ADJ
cana-1011	256	68	dl	dl	PROPN
cana-1011	256	69	methods	method	NOUN
cana-1011	256	70	,	,	PUNCT
cana-1011	256	71	it	it	PRON
cana-1011	256	72	fared	fare	VERB
cana-1011	256	73	better	well	ADV
cana-1011	256	74	.	.	PUNCT
cana-1011	257	1	metrics	metric	NOUN
cana-1011	257	2	including	include	VERB
cana-1011	257	3	accuracy	accuracy	NOUN
cana-1011	257	4	,	,	PUNCT
cana-1011	257	5	precision	precision	NOUN
cana-1011	257	6	,	,	PUNCT
cana-1011	257	7	recall	recall	NOUN
cana-1011	257	8	,	,	PUNCT
cana-1011	257	9	and	and	CCONJ
cana-1011	257	10	f1	f1	NOUN
cana-1011	257	11	score	score	NOUN
cana-1011	257	12	are	be	AUX
cana-1011	257	13	used	use	VERB
cana-1011	257	14	to	to	PART
cana-1011	257	15	assess	assess	VERB
cana-1011	257	16	the	the	DET
cana-1011	257	17	proposed	propose	VERB
cana-1011	257	18	hybrid	hybrid	NOUN
cana-1011	257	19	model	model	NOUN
cana-1011	257	20	's	's	PART
cana-1011	257	21	performance	performance	NOUN
cana-1011	257	22	alongside	alongside	ADP
cana-1011	257	23	ada	ada	PROPN
cana-1011	257	24	boost	boost	PROPN
cana-1011	257	25	,	,	PUNCT
cana-1011	257	26	lstm	lstm	ADJ
cana-1011	257	27	,	,	PUNCT
cana-1011	257	28	and	and	CCONJ
cana-1011	257	29	xg	xg	PROPN
cana-1011	257	30	boost	boost	NOUN
cana-1011	257	31	.	.	PUNCT
cana-1011	258	1	tables	table	NOUN
cana-1011	258	2	1	1	NUM
cana-1011	258	3	and	and	CCONJ
cana-1011	258	4	2	2	NUM
cana-1011	258	5	and	and	CCONJ
cana-1011	258	6	figures	figure	NOUN
cana-1011	258	7	7	7	NUM
cana-1011	258	8	and	and	CCONJ
cana-1011	258	9	8	8	NUM
cana-1011	258	10	demonstrate	demonstrate	VERB
cana-1011	258	11	the	the	DET
cana-1011	258	12	superior	superior	ADJ
cana-1011	258	13	performance	performance	NOUN
cana-1011	258	14	of	of	ADP
cana-1011	258	15	our	our	PRON
cana-1011	258	16	proposed	propose	VERB
cana-1011	258	17	method	method	NOUN
cana-1011	258	18	compared	compare	VERB
cana-1011	258	19	to	to	ADP
cana-1011	258	20	the	the	DET
cana-1011	258	21	rest	rest	NOUN
cana-1011	258	22	of	of	ADP
cana-1011	258	23	the	the	DET
cana-1011	258	24	algorithms	algorithm	NOUN
cana-1011	258	25	used	use	VERB
cana-1011	258	26	by	by	ADP
cana-1011	258	27	bing	bing	VERB
cana-1011	258	28	search	search	NOUN
cana-1011	258	29	engine	engine	NOUN
cana-1011	258	30	.	.	PUNCT
cana-1011	259	1	communications	communication	NOUN
cana-1011	259	2	on	on	ADP
cana-1011	259	3	applied	apply	VERB
cana-1011	259	4	nonlinear	nonlinear	ADJ
cana-1011	259	5	analysis	analysis	NOUN
cana-1011	259	6	issn	issn	NOUN
cana-1011	259	7	:	:	PUNCT
cana-1011	259	8	1074	1074	NUM
cana-1011	259	9	-	-	PUNCT
cana-1011	259	10	133x	133x	NUM
cana-1011	259	11	vol	vol	NOUN
cana-1011	259	12	31	31	NUM
cana-1011	259	13	no	no	NOUN
cana-1011	259	14	.	.	PUNCT
cana-1011	260	1	5s	5s	NUM
cana-1011	260	2	(	(	PUNCT
cana-1011	260	3	2024	2024	NUM
cana-1011	260	4	)	)	PUNCT
cana-1011	260	5	178	178	NUM
cana-1011	260	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	260	7	figure	figure	NOUN
cana-1011	260	8	7.reuslts	7.reuslts	NUM
cana-1011	260	9	of	of	ADP
cana-1011	260	10	various	various	ADJ
cana-1011	260	11	algorithms	algorithm	NOUN
cana-1011	260	12	in	in	ADP
cana-1011	260	13	bing	bing	VERB
cana-1011	260	14	search	search	NOUN
cana-1011	260	15	engine	engine	NOUN
cana-1011	260	16	table2.experimental	table2.experimental	ADJ
cana-1011	260	17	results	result	NOUN
cana-1011	260	18	of	of	ADP
cana-1011	260	19	various	various	ADJ
cana-1011	260	20	models	model	NOUN
cana-1011	260	21	on	on	ADP
cana-1011	260	22	duck	duck	NOUN
cana-1011	260	23	duck	duck	NOUN
cana-1011	260	24	go	go	VERB
cana-1011	260	25	search	search	NOUN
cana-1011	260	26	engine	engine	NOUN
cana-1011	260	27	name	name	NOUN
cana-1011	260	28	of	of	ADP
cana-1011	260	29	the	the	DET
cana-1011	260	30	model	model	NOUN
cana-1011	260	31	duck	duck	NOUN
cana-1011	260	32	duck	duck	NOUN
cana-1011	260	33	go	go	VERB
cana-1011	260	34	search	search	NOUN
cana-1011	260	35	engine	engine	NOUN
cana-1011	260	36	accuracy	accuracy	NOUN
cana-1011	260	37	precision	precision	NOUN
cana-1011	260	38	recall	recall	VERB
cana-1011	260	39	f1	f1	NOUN
cana-1011	260	40	-	-	PUNCT
cana-1011	260	41	score	score	NOUN
cana-1011	260	42	xg	xg	NOUN
cana-1011	260	43	boost	boost	VERB
cana-1011	260	44	85.26	85.26	NUM
cana-1011	260	45	86.89	86.89	NUM
cana-1011	260	46	87.28	87.28	NUM
cana-1011	260	47	88.32	88.32	NUM
cana-1011	260	48	ada	ada	PROPN
cana-1011	260	49	boost	boost	PROPN
cana-1011	260	50	87.32	87.32	NUM
cana-1011	260	51	89.93	89.93	NUM
cana-1011	260	52	88.48	88.48	NUM
cana-1011	260	53	89.99	89.99	NUM
cana-1011	260	54	lstm	lstm	NOUN
cana-1011	260	55	90.58	90.58	NUM
cana-1011	260	56	91.89	91.89	NUM
cana-1011	260	57	90.57	90.57	NUM
cana-1011	260	58	91.54	91.54	NUM
cana-1011	260	59	rnn	rnn	PROPN
cana-1011	260	60	-	-	PUNCT
cana-1011	260	61	lstm	lstm	NOUN
cana-1011	260	62	95.62	95.62	NUM
cana-1011	260	63	96.78	96.78	NUM
cana-1011	260	64	97.58	97.58	NUM
cana-1011	260	65	97.89	97.89	NUM
cana-1011	260	66	figure	figure	NOUN
cana-1011	260	67	8.reuslts	8.reuslts	NUM
cana-1011	260	68	of	of	ADP
cana-1011	260	69	various	various	ADJ
cana-1011	260	70	algorithms	algorithm	NOUN
cana-1011	260	71	in	in	ADP
cana-1011	260	72	duck	duck	NOUN
cana-1011	260	73	duck	duck	NOUN
cana-1011	260	74	go	go	VERB
cana-1011	260	75	search	search	NOUN
cana-1011	260	76	engine	engine	NOUN
cana-1011	260	77	75	75	NUM
cana-1011	260	78	80	80	NUM
cana-1011	260	79	85	85	NUM
cana-1011	260	80	90	90	NUM
cana-1011	260	81	95	95	NUM
cana-1011	260	82	100	100	NUM
cana-1011	260	83	xg	xg	NOUN
cana-1011	260	84	boost	boost	PROPN
cana-1011	260	85	ada	ada	PROPN
cana-1011	260	86	boost	boost	VERB
cana-1011	260	87	lstm	lstm	PROPN
cana-1011	260	88	rnn	rnn	PROPN
cana-1011	260	89	-	-	PUNCT
cana-1011	260	90	lstm	lstm	ADJ
cana-1011	260	91	78	78	NUM
cana-1011	260	92	80	80	NUM
cana-1011	260	93	82	82	NUM
cana-1011	260	94	84	84	NUM
cana-1011	260	95	86	86	NUM
cana-1011	260	96	88	88	NUM
cana-1011	260	97	90	90	NUM
cana-1011	260	98	92	92	NUM
cana-1011	260	99	94	94	NUM
cana-1011	260	100	96	96	NUM
cana-1011	260	101	98	98	NUM
cana-1011	260	102	xg	xg	NOUN
cana-1011	260	103	boost	boost	PROPN
cana-1011	260	104	ada	ada	PROPN
cana-1011	260	105	boost	boost	VERB
cana-1011	260	106	lstm	lstm	PROPN
cana-1011	260	107	rnn	rnn	PROPN
cana-1011	260	108	-	-	PUNCT
cana-1011	260	109	lstm	lstm	PROPN
cana-1011	260	110	communications	communication	NOUN
cana-1011	260	111	on	on	ADP
cana-1011	260	112	applied	apply	VERB
cana-1011	260	113	nonlinear	nonlinear	ADJ
cana-1011	260	114	analysis	analysis	NOUN
cana-1011	260	115	issn	issn	NOUN
cana-1011	260	116	:	:	PUNCT
cana-1011	260	117	1074	1074	NUM
cana-1011	260	118	-	-	PUNCT
cana-1011	260	119	133x	133x	NUM
cana-1011	260	120	vol	vol	NOUN
cana-1011	260	121	31	31	NUM
cana-1011	260	122	no	no	NOUN
cana-1011	260	123	.	.	PUNCT
cana-1011	261	1	5s	5s	NUM
cana-1011	261	2	(	(	PUNCT
cana-1011	261	3	2024	2024	NUM
cana-1011	261	4	)	)	PUNCT
cana-1011	261	5	179	179	NUM
cana-1011	261	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	261	7	6	6	NUM
cana-1011	261	8	.	.	PUNCT
cana-1011	261	9	conclusion	conclusion	NOUN
cana-1011	261	10	and	and	CCONJ
cana-1011	261	11	future	future	ADJ
cana-1011	261	12	work	work	NOUN
cana-1011	261	13	right	right	ADV
cana-1011	261	14	now	now	ADV
cana-1011	261	15	,	,	PUNCT
cana-1011	261	16	things	thing	NOUN
cana-1011	261	17	are	be	AUX
cana-1011	261	18	moving	move	VERB
cana-1011	261	19	towards	towards	ADP
cana-1011	261	20	more	more	ADJ
cana-1011	261	21	personalised	personalised	ADJ
cana-1011	261	22	services	service	NOUN
cana-1011	261	23	.	.	PUNCT
cana-1011	262	1	the	the	DET
cana-1011	262	2	old	old	ADJ
cana-1011	262	3	general	general	ADJ
cana-1011	262	4	retrieval	retrieval	NOUN
cana-1011	262	5	method	method	NOUN
cana-1011	262	6	is	be	AUX
cana-1011	262	7	n't	not	PART
cana-1011	262	8	able	able	ADJ
cana-1011	262	9	to	to	PART
cana-1011	262	10	meet	meet	VERB
cana-1011	262	11	the	the	DET
cana-1011	262	12	needs	need	NOUN
cana-1011	262	13	of	of	ADP
cana-1011	262	14	retrieval	retrieval	NOUN
cana-1011	262	15	in	in	ADP
cana-1011	262	16	different	different	ADJ
cana-1011	262	17	places	place	NOUN
cana-1011	262	18	,	,	PUNCT
cana-1011	262	19	for	for	ADP
cana-1011	262	20	different	different	ADJ
cana-1011	262	21	reasons	reason	NOUN
cana-1011	262	22	,	,	PUNCT
cana-1011	262	23	and	and	CCONJ
cana-1011	262	24	at	at	ADP
cana-1011	262	25	different	different	ADJ
cana-1011	262	26	times	time	NOUN
cana-1011	262	27	.	.	PUNCT
cana-1011	263	1	this	this	DET
cana-1011	263	2	paper	paper	NOUN
cana-1011	263	3	suggested	suggest	VERB
cana-1011	263	4	a	a	DET
cana-1011	263	5	mixed	mixed	ADJ
cana-1011	263	6	model	model	NOUN
cana-1011	263	7	based	base	VERB
cana-1011	263	8	on	on	ADP
cana-1011	263	9	rnn	rnn	NOUN
cana-1011	263	10	and	and	CCONJ
cana-1011	263	11	lstm	lstm	NOUN
cana-1011	263	12	with	with	ADP
cana-1011	263	13	a	a	DET
cana-1011	263	14	deep	deep	ADJ
cana-1011	263	15	learning	learning	NOUN
cana-1011	263	16	version	version	NOUN
cana-1011	263	17	for	for	ADP
cana-1011	263	18	classifying	classify	VERB
cana-1011	263	19	text	text	NOUN
cana-1011	263	20	based	base	VERB
cana-1011	263	21	on	on	ADP
cana-1011	263	22	the	the	DET
cana-1011	263	23	questions	question	NOUN
cana-1011	263	24	given	give	VERB
cana-1011	263	25	.	.	PUNCT
cana-1011	264	1	the	the	DET
cana-1011	264	2	model	model	NOUN
cana-1011	264	3	takes	take	VERB
cana-1011	264	4	advantage	advantage	NOUN
cana-1011	264	5	of	of	ADP
cana-1011	264	6	lstm	lstm	NOUN
cana-1011	264	7	and	and	CCONJ
cana-1011	264	8	keeps	keep	VERB
cana-1011	264	9	past	past	ADJ
cana-1011	264	10	data	datum	NOUN
cana-1011	264	11	in	in	ADP
cana-1011	264	12	long	long	ADJ
cana-1011	264	13	text	text	NOUN
cana-1011	264	14	,	,	PUNCT
cana-1011	264	15	which	which	PRON
cana-1011	264	16	solves	solve	VERB
cana-1011	264	17	the	the	DET
cana-1011	264	18	vector	vector	NOUN
cana-1011	264	19	representation	representation	NOUN
cana-1011	264	20	problem	problem	NOUN
cana-1011	264	21	.	.	PUNCT
cana-1011	265	1	rnn	rnn	PROPN
cana-1011	265	2	,	,	PUNCT
cana-1011	265	3	on	on	ADP
cana-1011	265	4	the	the	DET
cana-1011	265	5	contrary	contrary	ADJ
cana-1011	265	6	hand	hand	NOUN
cana-1011	265	7	,	,	PUNCT
cana-1011	265	8	is	be	AUX
cana-1011	265	9	used	use	VERB
cana-1011	265	10	to	to	PART
cana-1011	265	11	pull	pull	VERB
cana-1011	265	12	out	out	ADP
cana-1011	265	13	features	feature	NOUN
cana-1011	265	14	from	from	ADP
cana-1011	265	15	text	text	NOUN
cana-1011	265	16	.	.	PUNCT
cana-1011	266	1	the	the	DET
cana-1011	266	2	model	model	NOUN
cana-1011	266	3	uses	use	VERB
cana-1011	266	4	a	a	DET
cana-1011	266	5	type	type	NOUN
cana-1011	266	6	of	of	ADP
cana-1011	266	7	deep	deep	ADJ
cana-1011	266	8	learning	learning	NOUN
cana-1011	266	9	called	call	VERB
cana-1011	266	10	rnn	rnn	NOUN
cana-1011	266	11	to	to	PART
cana-1011	266	12	analyse	analyse	VERB
cana-1011	266	13	the	the	DET
cana-1011	266	14	features	feature	NOUN
cana-1011	266	15	that	that	PRON
cana-1011	266	16	were	be	AUX
cana-1011	266	17	extracted	extract	VERB
cana-1011	266	18	and	and	CCONJ
cana-1011	266	19	make	make	VERB
cana-1011	266	20	the	the	DET
cana-1011	266	21	end	end	NOUN
cana-1011	266	22	prediction	prediction	NOUN
cana-1011	266	23	.	.	PUNCT
cana-1011	267	1	the	the	DET
cana-1011	267	2	model	model	NOUN
cana-1011	267	3	suggested	suggest	VERB
cana-1011	267	4	in	in	ADP
cana-1011	267	5	this	this	DET
cana-1011	267	6	work	work	NOUN
cana-1011	267	7	does	do	AUX
cana-1011	267	8	n't	not	PART
cana-1011	267	9	have	have	VERB
cana-1011	267	10	the	the	DET
cana-1011	267	11	fully	fully	ADV
cana-1011	267	12	linked	link	VERB
cana-1011	267	13	classification	classification	NOUN
cana-1011	267	14	layers	layer	NOUN
cana-1011	267	15	that	that	PRON
cana-1011	267	16	are	be	AUX
cana-1011	267	17	found	find	VERB
cana-1011	267	18	in	in	ADP
cana-1011	267	19	most	most	ADJ
cana-1011	267	20	deep	deep	ADJ
cana-1011	267	21	learning	learning	NOUN
cana-1011	267	22	models	model	NOUN
cana-1011	267	23	because	because	SCONJ
cana-1011	267	24	it	it	PRON
cana-1011	267	25	uses	use	VERB
cana-1011	267	26	a	a	DET
cana-1011	267	27	different	different	ADJ
cana-1011	267	28	type	type	NOUN
cana-1011	267	29	of	of	ADP
cana-1011	267	30	deep	deep	ADJ
cana-1011	267	31	learning	learning	NOUN
cana-1011	267	32	.	.	PUNCT
cana-1011	268	1	because	because	SCONJ
cana-1011	268	2	of	of	ADP
cana-1011	268	3	this	this	PRON
cana-1011	268	4	,	,	PUNCT
cana-1011	268	5	the	the	DET
cana-1011	268	6	suggested	suggest	VERB
cana-1011	268	7	model	model	NOUN
cana-1011	268	8	works	work	VERB
cana-1011	268	9	for	for	ADP
cana-1011	268	10	less	less	ADJ
cana-1011	268	11	money	money	NOUN
cana-1011	268	12	and	and	CCONJ
cana-1011	268	13	makes	make	VERB
cana-1011	268	14	text	text	NOUN
cana-1011	268	15	classification	classification	NOUN
cana-1011	268	16	more	more	ADV
cana-1011	268	17	accurate	accurate	ADJ
cana-1011	268	18	.	.	PUNCT
cana-1011	269	1	the	the	DET
cana-1011	269	2	results	result	NOUN
cana-1011	269	3	of	of	ADP
cana-1011	269	4	the	the	DET
cana-1011	269	5	experiments	experiment	NOUN
cana-1011	269	6	show	show	VERB
cana-1011	269	7	that	that	SCONJ
cana-1011	269	8	the	the	DET
cana-1011	269	9	model	model	NOUN
cana-1011	269	10	is	be	AUX
cana-1011	269	11	correct	correct	ADJ
cana-1011	269	12	.	.	PUNCT
cana-1011	270	1	the	the	DET
cana-1011	270	2	difficulty	difficulty	NOUN
cana-1011	270	3	of	of	ADP
cana-1011	270	4	text	text	NOUN
cana-1011	270	5	classification	classification	NOUN
cana-1011	270	6	and	and	CCONJ
cana-1011	270	7	extraction	extraction	NOUN
cana-1011	270	8	will	will	AUX
cana-1011	270	9	rise	rise	VERB
cana-1011	270	10	as	as	SCONJ
cana-1011	270	11	the	the	DET
cana-1011	270	12	length	length	NOUN
cana-1011	270	13	as	as	ADV
cana-1011	270	14	well	well	ADV
cana-1011	270	15	as	as	ADP
cana-1011	270	16	complexity	complexity	NOUN
cana-1011	270	17	of	of	ADP
cana-1011	270	18	questions	question	NOUN
cana-1011	270	19	change	change	VERB
cana-1011	270	20	over	over	ADP
cana-1011	270	21	time	time	NOUN
cana-1011	270	22	.	.	PUNCT
cana-1011	271	1	an	an	DET
cana-1011	271	2	advanced	advanced	ADJ
cana-1011	271	3	mixed	mixed	ADJ
cana-1011	271	4	model	model	NOUN
cana-1011	271	5	can	can	AUX
cana-1011	271	6	be	be	AUX
cana-1011	271	7	made	make	VERB
cana-1011	271	8	by	by	ADP
cana-1011	271	9	combining	combine	VERB
cana-1011	271	10	the	the	DET
cana-1011	271	11	next	next	ADJ
cana-1011	271	12	level	level	NOUN
cana-1011	271	13	of	of	ADP
cana-1011	271	14	models	model	NOUN
cana-1011	271	15	,	,	PUNCT
cana-1011	271	16	like	like	ADP
cana-1011	271	17	the	the	DET
cana-1011	271	18	attention	attention	NOUN
cana-1011	271	19	-	-	PUNCT
cana-1011	271	20	based	base	VERB
cana-1011	271	21	model	model	NOUN
cana-1011	271	22	,	,	PUNCT
cana-1011	271	23	with	with	ADP
cana-1011	271	24	a	a	DET
cana-1011	271	25	deep	deep	ADJ
cana-1011	271	26	learning	learning	NOUN
cana-1011	271	27	model	model	NOUN
cana-1011	271	28	.	.	PUNCT
cana-1011	272	1	this	this	PRON
cana-1011	272	2	makes	make	VERB
cana-1011	272	3	it	it	PRON
cana-1011	272	4	possible	possible	ADJ
cana-1011	272	5	to	to	PART
cana-1011	272	6	accurately	accurately	ADV
cana-1011	272	7	classify	classify	VERB
cana-1011	272	8	long	long	ADJ
cana-1011	272	9	text	text	NOUN
cana-1011	272	10	sequences	sequence	NOUN
cana-1011	272	11	.	.	PUNCT
cana-1011	273	1	this	this	DET
cana-1011	273	2	work	work	NOUN
cana-1011	273	3	can	can	AUX
cana-1011	273	4	also	also	ADV
cana-1011	273	5	be	be	AUX
cana-1011	273	6	expanded	expand	VERB
cana-1011	273	7	to	to	PART
cana-1011	273	8	include	include	VERB
cana-1011	273	9	the	the	DET
cana-1011	273	10	other	other	ADJ
cana-1011	273	11	search	search	NOUN
cana-1011	273	12	engines	engine	NOUN
cana-1011	273	13	as	as	ADV
cana-1011	273	14	well	well	ADV
cana-1011	273	15	.	.	PUNCT
cana-1011	274	1	references	reference	NOUN
cana-1011	274	2	:	:	PUNCT
cana-1011	275	1	[	[	X
cana-1011	275	2	1	1	X
cana-1011	275	3	]	]	PUNCT
cana-1011	275	4	m.	m.	NOUN
cana-1011	275	5	tang	tang	PROPN
cana-1011	275	6	,	,	PUNCT
cana-1011	275	7	y.	y.	PROPN
cana-1011	275	8	bian	bian	PROPN
cana-1011	275	9	,	,	PUNCT
cana-1011	275	10	f.	f.	PROPN
cana-1011	275	11	tao	tao	PROPN
cana-1011	275	12	,	,	PUNCT
cana-1011	275	13	the	the	DET
cana-1011	275	14	research	research	NOUN
cana-1011	275	15	of	of	ADP
cana-1011	275	16	document	document	NOUN
cana-1011	275	17	retrieval	retrieval	NOUN
cana-1011	275	18	system	system	NOUN
cana-1011	275	19	based	base	VERB
cana-1011	275	20	on	on	ADP
cana-1011	275	21	the	the	DET
cana-1011	275	22	semantic	semantic	ADJ
cana-1011	275	23	vector	vector	NOUN
cana-1011	275	24	space	space	NOUN
cana-1011	275	25	model	model	NOUN
cana-1011	275	26	.	.	PUNCT
cana-1011	276	1	j	j	PROPN
cana-1011	276	2	intelligence	intelligence	NOUN
cana-1011	276	3	.	.	PUNCT
cana-1011	277	1	5(29	5(29	NUM
cana-1011	277	2	)	)	PUNCT
cana-1011	277	3	,	,	PUNCT
cana-1011	277	4	167–177	167–177	NUM
cana-1011	277	5	(	(	PUNCT
cana-1011	277	6	2020	2020	NUM
cana-1011	277	7	)	)	PUNCT
cana-1011	278	1	[	[	X
cana-1011	278	2	2	2	NUM
cana-1011	278	3	]	]	PUNCT
cana-1011	278	4	c.	c.	PROPN
cana-1011	278	5	ma	ma	PROPN
cana-1011	278	6	,	,	PUNCT
cana-1011	278	7	w.	w.	PROPN
cana-1011	278	8	liang	liang	PROPN
cana-1011	278	9	,	,	PUNCT
cana-1011	278	10	m.	m.	PROPN
cana-1011	278	11	zheng	zheng	PROPN
cana-1011	278	12	,	,	PUNCT
cana-1011	278	13	h.	h.	PROPN
cana-1011	278	14	sharif	sharif	PROPN
cana-1011	278	15	,	,	PUNCT
cana-1011	278	16	a	a	DET
cana-1011	278	17	connectivity	connectivity	NOUN
cana-1011	278	18	-	-	PUNCT
cana-1011	278	19	aware	aware	ADJ
cana-1011	278	20	approximation	approximation	NOUN
cana-1011	278	21	algorithm	algorithm	NOUN
cana-1011	278	22	for	for	ADP
cana-1011	278	23	relay	relay	NOUN
cana-1011	278	24	node	node	ADJ
cana-1011	278	25	placement	placement	NOUN
cana-1011	278	26	in	in	ADP
cana-1011	278	27	wireless	wireless	ADJ
cana-1011	278	28	sensor	sensor	NOUN
cana-1011	278	29	networks[j	networks[j	PROPN
cana-1011	278	30	]	]	X
cana-1011	278	31	.	.	PUNCT
cana-1011	279	1	ieee	ieee	NOUN
cana-1011	279	2	sensors	sensor	NOUN
cana-1011	279	3	j.	j.	PROPN
cana-1011	279	4	16(2	16(2	PROPN
cana-1011	279	5	)	)	PUNCT
cana-1011	279	6	,	,	PUNCT
cana-1011	279	7	515–528	515–528	NUM
cana-1011	279	8	(	(	PUNCT
cana-1011	279	9	2022	2022	NUM
cana-1011	279	10	)	)	PUNCT
cana-1011	280	1	[	[	X
cana-1011	280	2	3	3	NUM
cana-1011	280	3	]	]	SYM
cana-1011	280	4	yang	yang	PROPN
cana-1011	280	5	,	,	PUNCT
cana-1011	280	6	x.	x.	PROPN
cana-1011	280	7	,	,	PUNCT
cana-1011	280	8	yang	yang	PROPN
cana-1011	280	9	,	,	PUNCT
cana-1011	280	10	d.	d.	PROPN
cana-1011	280	11	,	,	PUNCT
cana-1011	280	12	yuan	yuan	PROPN
cana-1011	280	13	,	,	PUNCT
cana-1011	280	14	m.	m.	NOUN
cana-1011	280	15	scientific	scientific	PROPN
cana-1011	280	16	literature	literature	PROPN
cana-1011	280	17	retrieval	retrieval	NOUN
cana-1011	280	18	model	model	NOUN
cana-1011	280	19	based	base	VERB
cana-1011	280	20	on	on	ADP
cana-1011	280	21	weighted	weight	VERB
cana-1011	280	22	term	term	NOUN
cana-1011	280	23	frequency	frequency	NOUN
cana-1011	280	24	.	.	PUNCT
cana-1011	281	1	intelligent	intelligent	ADJ
cana-1011	281	2	information	information	NOUN
cana-1011	281	3	hiding	hiding	NOUN
cana-1011	281	4	and	and	CCONJ
cana-1011	281	5	multimedia	multimedia	NOUN
cana-1011	281	6	signal	signal	NOUN
cana-1011	281	7	processing	processing	NOUN
cana-1011	281	8	(	(	PUNCT
cana-1011	281	9	iih	iih	PROPN
cana-1011	281	10	-	-	PUNCT
cana-1011	281	11	msp	msp	PROPN
cana-1011	281	12	)	)	PUNCT
cana-1011	281	13	,	,	PUNCT
cana-1011	281	14	2022	2022	NUM
cana-1011	281	15	tenth	tenth	NOUN
cana-1011	281	16	international	international	ADJ
cana-1011	281	17	conference	conference	NOUN
cana-1011	281	18	on	on	ADP
cana-1011	281	19	.	.	PUNCT
cana-1011	281	20	ieee	ieee	PROPN
cana-1011	281	21	,	,	PUNCT
cana-1011	281	22	2014	2014	NUM
cana-1011	281	23	:	:	PUNCT
cana-1011	282	1	427–430	427–430	NUM
cana-1011	282	2	[	[	X
cana-1011	282	3	4	4	NUM
cana-1011	282	4	]	]	PUNCT
cana-1011	282	5	m.	m.	NOUN
cana-1011	282	6	xu	xu	PROPN
cana-1011	282	7	,	,	PUNCT
cana-1011	282	8	q.	q.	PROPN
cana-1011	282	9	yang	yang	PROPN
cana-1011	282	10	,	,	PUNCT
cana-1011	282	11	k.s	k.s	PROPN
cana-1011	282	12	.	.	PROPN
cana-1011	282	13	kwak	kwak	PROPN
cana-1011	282	14	,	,	PUNCT
cana-1011	282	15	distributed	distribute	VERB
cana-1011	282	16	topology	topology	NOUN
cana-1011	282	17	control	control	NOUN
cana-1011	282	18	with	with	ADP
cana-1011	282	19	lifetime	lifetime	NOUN
cana-1011	282	20	extension	extension	NOUN
cana-1011	282	21	based	base	VERB
cana-1011	282	22	on	on	ADP
cana-1011	282	23	non	non	ADJ
cana-1011	282	24	-	-	ADJ
cana-1011	282	25	cooperative	cooperative	ADJ
cana-1011	282	26	game	game	NOUN
cana-1011	282	27	for	for	ADP
cana-1011	282	28	wireless	wireless	ADJ
cana-1011	282	29	sensor	sensor	NOUN
cana-1011	282	30	networks[j	networks[j	PROPN
cana-1011	282	31	]	]	X
cana-1011	282	32	.	.	PUNCT
cana-1011	283	1	ieee	ieee	NOUN
cana-1011	283	2	sensors	sensor	NOUN
cana-1011	283	3	j.	j.	PROPN
cana-1011	283	4	16(9	16(9	PROPN
cana-1011	283	5	)	)	PUNCT
cana-1011	283	6	,	,	PUNCT
cana-1011	283	7	3332–3342	3332–3342	NUM
cana-1011	283	8	(	(	PUNCT
cana-1011	283	9	2021	2021	NUM
cana-1011	283	10	)	)	PUNCT
cana-1011	284	1	[	[	X
cana-1011	284	2	5	5	X
cana-1011	284	3	]	]	X
cana-1011	284	4	y.	y.	PROPN
cana-1011	284	5	yan	yan	PROPN
cana-1011	284	6	,	,	PUNCT
cana-1011	284	7	j.	j.	PROPN
cana-1011	284	8	du	du	PROPN
cana-1011	284	9	,	,	PUNCT
cana-1011	284	10	p.	p.	PROPN
cana-1011	284	11	yuan	yuan	PROPN
cana-1011	284	12	,	,	PUNCT
cana-1011	284	13	ontology	ontology	NOUN
cana-1011	284	14	-	-	PUNCT
cana-1011	284	15	based	base	VERB
cana-1011	284	16	intelligent	intelligent	ADJ
cana-1011	284	17	information	information	NOUN
cana-1011	284	18	retrieval	retrieval	NOUN
cana-1011	284	19	system	system	NOUN
cana-1011	284	20	.	.	PUNCT
cana-1011	285	1	j	j	PROPN
cana-1011	285	2	,	,	PUNCT
cana-1011	285	3	software	software	NOUN
cana-1011	285	4	26(7	26(7	NOUN
cana-1011	285	5	)	)	PUNCT
cana-1011	285	6	,	,	PUNCT
cana-1011	285	7	1675–1687	1675–1687	NUM
cana-1011	285	8	(	(	PUNCT
cana-1011	285	9	2022	2022	NUM
cana-1011	285	10	)	)	PUNCT
cana-1011	285	11	.	.	PUNCT
cana-1011	286	1	[	[	X
cana-1011	286	2	6	6	NUM
cana-1011	286	3	]	]	X
cana-1011	286	4	taksande	taksande	PROPN
cana-1011	286	5	,	,	PUNCT
cana-1011	286	6	s.a	s.a	PROPN
cana-1011	286	7	.	.	PROPN
cana-1011	286	8	,	,	PUNCT
cana-1011	286	9	&	&	CCONJ
cana-1011	286	10	deoranka	deoranka	PROPN
cana-1011	286	11	,	,	PUNCT
cana-1011	286	12	a.v	a.v	PROPN
cana-1011	286	13	.	.	PROPN
cana-1011	286	14	(	(	PUNCT
cana-1011	286	15	2021	2021	NUM
cana-1011	286	16	)	)	PUNCT
cana-1011	286	17	.	.	PUNCT
cana-1011	287	1	analytical	analytical	ADJ
cana-1011	287	2	study	study	NOUN
cana-1011	287	3	on	on	ADP
cana-1011	287	4	personalized	personalized	ADJ
cana-1011	287	5	information	information	NOUN
cana-1011	287	6	retrieval	retrieval	NOUN
cana-1011	287	7	system	system	NOUN
cana-1011	287	8	.	.	PUNCT
cana-1011	288	1	imperial	imperial	ADJ
cana-1011	288	2	journal	journal	NOUN
cana-1011	288	3	of	of	ADP
cana-1011	288	4	interdisciplinary	interdisciplinary	ADJ
cana-1011	288	5	research	research	NOUN
cana-1011	288	6	,	,	PUNCT
cana-1011	288	7	3	3	X
cana-1011	288	8	.	.	PUNCT
cana-1011	289	1	[	[	X
cana-1011	289	2	7	7	NUM
cana-1011	289	3	]	]	PUNCT
cana-1011	289	4	bradshaw	bradshaw	PROPN
cana-1011	289	5	,	,	PUNCT
cana-1011	289	6	shannon	shannon	PROPN
cana-1011	289	7	,	,	PUNCT
cana-1011	289	8	and	and	CCONJ
cana-1011	289	9	kristian	kristian	PROPN
cana-1011	289	10	hammond	hammond	PROPN
cana-1011	289	11	.	.	PUNCT
cana-1011	290	1	"	"	PUNCT
cana-1011	290	2	automatically	automatically	ADV
cana-1011	290	3	indexing	indexing	NOUN
cana-1011	290	4	documents	document	NOUN
cana-1011	290	5	:	:	PUNCT
cana-1011	290	6	content	content	NOUN
cana-1011	290	7	vs.	vs.	ADP
cana-1011	290	8	reference	reference	NOUN
cana-1011	290	9	.	.	PUNCT
cana-1011	290	10	"	"	PUNCT
cana-1011	290	11	proceedings	proceeding	NOUN
cana-1011	290	12	of	of	ADP
cana-1011	290	13	the	the	DET
cana-1011	290	14	7th	7th	ADJ
cana-1011	290	15	international	international	ADJ
cana-1011	290	16	conference	conference	NOUN
cana-1011	290	17	on	on	ADP
cana-1011	290	18	intelligent	intelligent	ADJ
cana-1011	290	19	user	user	NOUN
cana-1011	290	20	interfaces	interface	NOUN
cana-1011	290	21	.	.	PUNCT
cana-1011	290	22	2022	2022	NUM
cana-1011	290	23	.	.	PUNCT
cana-1011	291	1	[	[	X
cana-1011	291	2	8	8	NUM
cana-1011	291	3	]	]	SYM
cana-1011	291	4	heenan	heenan	PROPN
cana-1011	291	5	,	,	PUNCT
cana-1011	291	6	charles	charles	PROPN
cana-1011	291	7	h.	h.	PROPN
cana-1011	292	1	"	"	PUNCT
cana-1011	292	2	a	a	DET
cana-1011	292	3	review	review	NOUN
cana-1011	292	4	of	of	ADP
cana-1011	292	5	academic	academic	ADJ
cana-1011	292	6	research	research	NOUN
cana-1011	292	7	on	on	ADP
cana-1011	292	8	information	information	NOUN
cana-1011	292	9	retrieval	retrieval	NOUN
cana-1011	292	10	.	.	PUNCT
cana-1011	292	11	"	"	PUNCT
cana-1011	293	1	unpublished	unpublished	ADJ
cana-1011	293	2	manuscript	manuscript	NOUN
cana-1011	293	3	,	,	PUNCT
cana-1011	293	4	engineering	engineer	VERB
cana-1011	293	5	informatics	informatics	PROPN
cana-1011	293	6	group	group	NOUN
cana-1011	293	7	,	,	PUNCT
cana-1011	293	8	department	department	NOUN
cana-1011	293	9	of	of	ADP
cana-1011	293	10	civil	civil	ADJ
cana-1011	293	11	and	and	CCONJ
cana-1011	293	12	environmental	environmental	ADJ
cana-1011	293	13	engineering	engineering	NOUN
cana-1011	293	14	,	,	PUNCT
cana-1011	293	15	stanford	stanford	PROPN
cana-1011	293	16	university	university	PROPN
cana-1011	293	17	(	(	PUNCT
cana-1011	293	18	2019	2019	NUM
cana-1011	293	19	)	)	PUNCT
cana-1011	293	20	.	.	PUNCT
cana-1011	294	1	[	[	X
cana-1011	294	2	9	9	NUM
cana-1011	294	3	]	]	X
cana-1011	294	4	eze	eze	VERB
cana-1011	294	5	em	em	PRON
cana-1011	294	6	(	(	PUNCT
cana-1011	294	7	2020	2020	NUM
cana-1011	294	8	)	)	PUNCT
cana-1011	294	9	awareness	awareness	NOUN
cana-1011	294	10	and	and	CCONJ
cana-1011	294	11	use	use	NOUN
cana-1011	294	12	of	of	ADP
cana-1011	294	13	web	web	NOUN
cana-1011	294	14	2.0	2.0	NUM
cana-1011	294	15	tools	tool	NOUN
cana-1011	294	16	by	by	ADP
cana-1011	294	17	lis	li	NOUN
cana-1011	294	18	students	student	NOUN
cana-1011	294	19	at	at	ADP
cana-1011	294	20	university	university	PROPN
cana-1011	294	21	of	of	ADP
cana-1011	294	22	nigeria	nigeria	PROPN
cana-1011	294	23	,	,	PUNCT
cana-1011	294	24	nsukka	nsukka	PROPN
cana-1011	294	25	,	,	PUNCT
cana-1011	294	26	enugu	enugu	PROPN
cana-1011	294	27	state	state	PROPN
cana-1011	294	28	,	,	PUNCT
cana-1011	294	29	nigeria	nigeria	PROPN
cana-1011	294	30	,	,	PUNCT
cana-1011	294	31	library	library	ADJ
cana-1011	294	32	philosophy	philosophy	NOUN
cana-1011	294	33	and	and	CCONJ
cana-1011	294	34	practice	practice	NOUN
cana-1011	294	35	[	[	X
cana-1011	294	36	10	10	NUM
cana-1011	294	37	]	]	X
cana-1011	294	38	hussain	hussain	PROPN
cana-1011	294	39	mn	mn	PROPN
cana-1011	294	40	,	,	PUNCT
cana-1011	294	41	obadimu	obadimu	PROPN
cana-1011	294	42	a	a	PRON
cana-1011	294	43	,	,	PUNCT
cana-1011	294	44	bandeli	bandeli	PROPN
cana-1011	294	45	kk	kk	PROPN
cana-1011	294	46	,	,	PUNCT
cana-1011	294	47	nooman	nooman	PROPN
cana-1011	294	48	m	m	PROPN
cana-1011	294	49	,	,	PUNCT
cana-1011	294	50	al	al	PROPN
cana-1011	294	51	-	-	PUNCT
cana-1011	294	52	khateeb	khateeb	PROPN
cana-1011	294	53	s	s	PROPN
cana-1011	294	54	,	,	PUNCT
cana-1011	294	55	agarwal	agarwal	PROPN
cana-1011	294	56	n	n	CCONJ
cana-1011	294	57	(	(	PUNCT
cana-1011	294	58	2021	2021	NUM
cana-1011	294	59	)	)	PUNCT
cana-1011	294	60	a	a	DET
cana-1011	294	61	framework	framework	NOUN
cana-1011	294	62	for	for	ADP
cana-1011	294	63	blog	blog	NOUN
cana-1011	294	64	data	datum	NOUN
cana-1011	294	65	collection	collection	NOUN
cana-1011	294	66	:	:	PUNCT
cana-1011	294	67	challenges	challenge	NOUN
cana-1011	294	68	and	and	CCONJ
cana-1011	294	69	opportunities	opportunity	NOUN
cana-1011	294	70	.	.	PUNCT
cana-1011	295	1	in	in	ADP
cana-1011	295	2	:	:	PUNCT
cana-1011	295	3	iaria	iaria	NOUN
cana-1011	296	1	[	[	X
cana-1011	296	2	11	11	NUM
cana-1011	296	3	]	]	PUNCT
cana-1011	296	4	kerne	kerne	VERB
cana-1011	296	5	a	a	DET
cana-1011	296	6	,	,	PUNCT
cana-1011	296	7	niclupfer	niclupfer	NOUN
cana-1011	296	8	,	,	PUNCT
cana-1011	296	9	linder	linder	PROPN
cana-1011	296	10	r	r	PROPN
cana-1011	296	11	,	,	PUNCT
cana-1011	296	12	qu	qu	PROPN
cana-1011	296	13	y	y	PROPN
cana-1011	296	14	,	,	PUNCT
cana-1011	296	15	valdez	valdez	PROPN
cana-1011	296	16	a	a	PROPN
cana-1011	296	17	,	,	PUNCT
cana-1011	296	18	jain	jain	PROPN
cana-1011	296	19	a	a	PRON
cana-1011	296	20	,	,	PUNCT
cana-1011	296	21	keith	keith	PROPN
cana-1011	296	22	k	k	PROPN
cana-1011	296	23	,	,	PUNCT
cana-1011	296	24	carrasco	carrasco	PROPN
cana-1011	296	25	m	m	PROPN
cana-1011	296	26	,	,	PUNCT
cana-1011	296	27	vanegas	vanegas	PROPN
cana-1011	296	28	j	j	PROPN
cana-1011	296	29	,	,	PUNCT
cana-1011	296	30	billingsley	billingsley	PROPN
cana-1011	296	31	a	a	PRON
cana-1011	296	32	(	(	PUNCT
cana-1011	296	33	2017	2017	NUM
cana-1011	296	34	)	)	PUNCT
cana-1011	296	35	strategies	strategy	NOUN
cana-1011	296	36	of	of	ADP
cana-1011	296	37	freeform	freeform	ADJ
cana-1011	296	38	web	web	NOUN
cana-1011	296	39	curation	curation	NOUN
cana-1011	296	40	:	:	PUNCT
cana-1011	296	41	processes	process	NOUN
cana-1011	296	42	of	of	ADP
cana-1011	296	43	creative	creative	ADJ
cana-1011	296	44	engagement	engagement	NOUN
cana-1011	296	45	with	with	ADP
cana-1011	296	46	prior	prior	ADJ
cana-1011	296	47	work	work	NOUN
cana-1011	296	48	.	.	PUNCT
cana-1011	297	1	in	in	ADP
cana-1011	297	2	:	:	PUNCT
cana-1011	297	3	proceedings	proceeding	NOUN
cana-1011	297	4	of	of	ADP
cana-1011	297	5	the	the	DET
cana-1011	297	6	2022	2022	NUM
cana-1011	297	7	acm	acm	PROPN
cana-1011	297	8	sigchi	sigchi	PROPN
cana-1011	297	9	conference	conference	NOUN
cana-1011	297	10	on	on	ADP
cana-1011	297	11	creativity	creativity	NOUN
cana-1011	297	12	and	and	CCONJ
cana-1011	297	13	cognition	cognition	NOUN
cana-1011	297	14	,	,	PUNCT
cana-1011	297	15	acm	acm	PROPN
cana-1011	297	16	,	,	PUNCT
cana-1011	297	17	pp	pp	PROPN
cana-1011	297	18	380–392	380–392	NUM
cana-1011	297	19	[	[	X
cana-1011	297	20	12	12	NUM
cana-1011	297	21	]	]	X
cana-1011	297	22	pirshahid	pirshahid	PROPN
cana-1011	297	23	se	se	PROPN
cana-1011	297	24	,	,	PUNCT
cana-1011	297	25	naghshineh	naghshineh	PROPN
cana-1011	297	26	n	n	CCONJ
cana-1011	297	27	,	,	PUNCT
cana-1011	297	28	fahimnia	fahimnia	PROPN
cana-1011	297	29	f	f	PROPN
cana-1011	297	30	(	(	PUNCT
cana-1011	297	31	2022	2022	NUM
cana-1011	297	32	)	)	PUNCT
cana-1011	297	33	knowledge	knowledge	NOUN
cana-1011	297	34	and	and	CCONJ
cana-1011	297	35	use	use	NOUN
cana-1011	297	36	of	of	ADP
cana-1011	297	37	web	web	NOUN
cana-1011	297	38	2.0	2.0	NUM
cana-1011	297	39	by	by	ADP
cana-1011	297	40	librarians	librarian	NOUN
cana-1011	297	41	in	in	ADP
cana-1011	297	42	university	university	NOUN
cana-1011	297	43	libraries	library	NOUN
cana-1011	297	44	of	of	ADP
cana-1011	297	45	east	east	PROPN
cana-1011	297	46	azerbaijan	azerbaijan	PROPN
cana-1011	297	47	,	,	PUNCT
cana-1011	297	48	iran	iran	PROPN
cana-1011	297	49	.	.	PUNCT
cana-1011	298	1	electron	electron	PROPN
cana-1011	298	2	libr	libr	PROPN
cana-1011	298	3	34(6):1013–1030	34(6):1013–1030	NUM
cana-1011	299	1	[	[	X
cana-1011	299	2	13	13	NUM
cana-1011	299	3	]	]	X
cana-1011	299	4	o.	o.	PROPN
cana-1011	299	5	abdel	abdel	PROPN
cana-1011	299	6	-	-	PUNCT
cana-1011	299	7	hamid	hamid	PROPN
cana-1011	299	8	,	,	PUNCT
cana-1011	299	9	a.-r	a.-r	PROPN
cana-1011	299	10	.	.	PUNCT
cana-1011	299	11	mohamed	mohamed	PROPN
cana-1011	299	12	,	,	PUNCT
cana-1011	299	13	h.	h.	PROPN
cana-1011	299	14	jiang	jiang	PROPN
cana-1011	299	15	,	,	PUNCT
cana-1011	299	16	and	and	CCONJ
cana-1011	299	17	g.	g.	PROPN
cana-1011	299	18	penn	penn	PROPN
cana-1011	299	19	,	,	PUNCT
cana-1011	299	20	‘	'	PUNCT
cana-1011	299	21	‘	'	PUNCT
cana-1011	299	22	applying	apply	VERB
cana-1011	299	23	convolutional	convolutional	ADJ
cana-1011	299	24	neural	neural	ADJ
cana-1011	299	25	networks	network	NOUN
cana-1011	299	26	concepts	concept	NOUN
cana-1011	299	27	to	to	ADP
cana-1011	299	28	hybrid	hybrid	ADJ
cana-1011	299	29	nn	nn	PROPN
cana-1011	299	30	-	-	PUNCT
cana-1011	299	31	hmm	hmm	NOUN
cana-1011	299	32	model	model	NOUN
cana-1011	299	33	for	for	ADP
cana-1011	299	34	speech	speech	NOUN
cana-1011	299	35	recognition	recognition	NOUN
cana-1011	299	36	,	,	PUNCT
cana-1011	299	37	’’	’'	PUNCT
cana-1011	299	38	in	in	ADP
cana-1011	299	39	proc	proc	NOUN
cana-1011	299	40	.	.	PUNCT
cana-1011	300	1	ieee	ieee	PROPN
cana-1011	300	2	int	int	PROPN
cana-1011	300	3	.	.	PUNCT
cana-1011	301	1	conf	conf	PROPN
cana-1011	301	2	.	.	PUNCT
cana-1011	302	1	acoust	acoust	PROPN
cana-1011	302	2	.	.	PUNCT
cana-1011	303	1	,	,	PUNCT
cana-1011	303	2	speech	speech	NOUN
cana-1011	303	3	signal	signal	NOUN
cana-1011	303	4	process	process	NOUN
cana-1011	303	5	.	.	PUNCT
cana-1011	304	1	(	(	PUNCT
cana-1011	304	2	icassp	icassp	PROPN
cana-1011	304	3	)	)	PUNCT
cana-1011	304	4	,	,	PUNCT
cana-1011	304	5	mar	mar	PROPN
cana-1011	304	6	.	.	PROPN
cana-1011	304	7	2022	2022	NUM
cana-1011	304	8	,	,	PUNCT
cana-1011	304	9	pp	pp	PROPN
cana-1011	304	10	.	.	PUNCT
cana-1011	305	1	4277–4280	4277–4280	NUM
cana-1011	305	2	.	.	PUNCT
cana-1011	306	1	communications	communication	NOUN
cana-1011	306	2	on	on	ADP
cana-1011	306	3	applied	apply	VERB
cana-1011	306	4	nonlinear	nonlinear	ADJ
cana-1011	306	5	analysis	analysis	NOUN
cana-1011	306	6	issn	issn	NOUN
cana-1011	306	7	:	:	PUNCT
cana-1011	306	8	1074	1074	NUM
cana-1011	306	9	-	-	PUNCT
cana-1011	306	10	133x	133x	NUM
cana-1011	306	11	vol	vol	NOUN
cana-1011	306	12	31	31	NUM
cana-1011	306	13	no	no	NOUN
cana-1011	306	14	.	.	PUNCT
cana-1011	307	1	5s	5s	NUM
cana-1011	307	2	(	(	PUNCT
cana-1011	307	3	2024	2024	NUM
cana-1011	307	4	)	)	PUNCT
cana-1011	307	5	180	180	NUM
cana-1011	307	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1011	308	1	[	[	X
cana-1011	308	2	14	14	NUM
cana-1011	308	3	]	]	X
cana-1011	308	4	o.	o.	PROPN
cana-1011	308	5	abdel	abdel	PROPN
cana-1011	308	6	-	-	PUNCT
cana-1011	308	7	hamid	hamid	PROPN
cana-1011	308	8	,	,	PUNCT
cana-1011	308	9	l.	l.	PROPN
cana-1011	308	10	deng	deng	PROPN
cana-1011	308	11	,	,	PUNCT
cana-1011	308	12	and	and	CCONJ
cana-1011	308	13	d.	d.	PROPN
cana-1011	308	14	yu	yu	PROPN
cana-1011	308	15	,	,	PUNCT
cana-1011	308	16	‘	'	PUNCT
cana-1011	308	17	‘	'	PUNCT
cana-1011	308	18	exploring	explore	VERB
cana-1011	308	19	convolutional	convolutional	ADJ
cana-1011	308	20	neural	neural	ADJ
cana-1011	308	21	network	network	NOUN
cana-1011	308	22	structures	structure	NOUN
cana-1011	308	23	and	and	CCONJ
cana-1011	308	24	optimization	optimization	NOUN
cana-1011	308	25	techniques	technique	NOUN
cana-1011	308	26	for	for	ADP
cana-1011	308	27	speech	speech	NOUN
cana-1011	308	28	recognition	recognition	NOUN
cana-1011	308	29	,	,	PUNCT
cana-1011	308	30	’’	’'	PUNCT
cana-1011	308	31	in	in	ADP
cana-1011	308	32	proc	proc	NOUN
cana-1011	308	33	.	.	PUNCT
cana-1011	309	1	interspeech	interspeech	NOUN
cana-1011	309	2	,	,	PUNCT
cana-1011	309	3	vol	vol	NOUN
cana-1011	309	4	.	.	PROPN
cana-1011	309	5	11	11	NUM
cana-1011	309	6	,	,	PUNCT
cana-1011	309	7	2023	2023	NUM
cana-1011	309	8	,	,	PUNCT
cana-1011	309	9	pp	pp	ADV
cana-1011	309	10	.	.	PUNCT
cana-1011	310	1	5–73	5–73	X
cana-1011	310	2	.	.	PUNCT
cana-1011	311	1	[	[	X
cana-1011	311	2	15	15	NUM
cana-1011	311	3	]	]	PUNCT
cana-1011	311	4	t.	t.	PROPN
cana-1011	311	5	n.	n.	PROPN
cana-1011	311	6	sainath	sainath	PROPN
cana-1011	311	7	,	,	PUNCT
cana-1011	311	8	a.-r	a.-r	PROPN
cana-1011	311	9	.	.	PROPN
cana-1011	312	1	mohamed	mohamed	PROPN
cana-1011	312	2	,	,	PUNCT
cana-1011	312	3	b.	b.	PROPN
cana-1011	312	4	kingsbury	kingsbury	PROPN
cana-1011	312	5	,	,	PUNCT
cana-1011	312	6	and	and	CCONJ
cana-1011	312	7	b.	b.	PROPN
cana-1011	312	8	ramabhadran	ramabhadran	PROPN
cana-1011	312	9	,	,	PUNCT
cana-1011	312	10	‘	'	PUNCT
cana-1011	312	11	‘	'	PUNCT
cana-1011	312	12	deep	deep	ADJ
cana-1011	312	13	convolutional	convolutional	ADJ
cana-1011	312	14	neural	neural	ADJ
cana-1011	312	15	networks	network	NOUN
cana-1011	312	16	for	for	ADP
cana-1011	312	17	lvcsr	lvcsr	NOUN
cana-1011	312	18	,	,	PUNCT
cana-1011	312	19	’’	’'	PUNCT
cana-1011	312	20	in	in	ADP
cana-1011	312	21	proc	proc	NOUN
cana-1011	312	22	.	.	PUNCT
cana-1011	313	1	ieee	ieee	PROPN
cana-1011	313	2	int	int	PROPN
cana-1011	313	3	.	.	PUNCT
cana-1011	314	1	conf	conf	PROPN
cana-1011	314	2	.	.	PUNCT
cana-1011	315	1	acoust	acoust	PROPN
cana-1011	315	2	.	.	PUNCT
cana-1011	316	1	,	,	PUNCT
cana-1011	316	2	speech	speech	NOUN
cana-1011	316	3	signal	signal	NOUN
cana-1011	316	4	process	process	NOUN
cana-1011	316	5	.	.	PUNCT
cana-1011	316	6	,	,	PUNCT
cana-1011	316	7	may	may	AUX
cana-1011	316	8	2020	2020	NUM
cana-1011	316	9	,	,	PUNCT
cana-1011	316	10	pp	pp	ADV
cana-1011	316	11	.	.	PUNCT
cana-1011	317	1	8614–8618	8614–8618	NUM
cana-1011	317	2	.	.	PUNCT
cana-1011	318	1	[	[	X
cana-1011	318	2	16	16	NUM
cana-1011	318	3	]	]	X
cana-1011	318	4	w.	w.	PROPN
cana-1011	318	5	chan	chan	PROPN
cana-1011	318	6	and	and	CCONJ
cana-1011	318	7	i.	i.	PROPN
cana-1011	318	8	lane	lane	PROPN
cana-1011	318	9	,	,	PUNCT
cana-1011	318	10	‘	'	PUNCT
cana-1011	318	11	‘	'	PUNCT
cana-1011	318	12	deep	deep	ADJ
cana-1011	318	13	convolutional	convolutional	ADJ
cana-1011	318	14	neural	neural	ADJ
cana-1011	318	15	networks	network	NOUN
cana-1011	318	16	for	for	ADP
cana-1011	318	17	acoustic	acoustic	ADJ
cana-1011	318	18	modeling	modeling	NOUN
cana-1011	318	19	in	in	ADP
cana-1011	318	20	low	low	ADJ
cana-1011	318	21	resource	resource	NOUN
cana-1011	318	22	languages	language	NOUN
cana-1011	318	23	,	,	PUNCT
cana-1011	318	24	’’	’'	PUNCT
cana-1011	318	25	in	in	ADP
cana-1011	318	26	proc	proc	NOUN
cana-1011	318	27	.	.	PUNCT
cana-1011	319	1	ieee	ieee	PROPN
cana-1011	319	2	int	int	PROPN
cana-1011	319	3	.	.	PUNCT
cana-1011	320	1	conf	conf	PROPN
cana-1011	320	2	.	.	PUNCT
cana-1011	321	1	acoust	acoust	PROPN
cana-1011	321	2	.	.	PUNCT
cana-1011	322	1	,	,	PUNCT
cana-1011	322	2	speech	speech	NOUN
cana-1011	322	3	signal	signal	NOUN
cana-1011	322	4	process	process	NOUN
cana-1011	322	5	.	.	PUNCT
cana-1011	323	1	(	(	PUNCT
cana-1011	323	2	icassp	icassp	PROPN
cana-1011	323	3	)	)	PUNCT
cana-1011	323	4	,	,	PUNCT
cana-1011	323	5	apr	apr	PROPN
cana-1011	323	6	.	.	PROPN
cana-1011	323	7	2019	2019	NUM
cana-1011	323	8	,	,	PUNCT
cana-1011	323	9	pp	pp	ADJ
cana-1011	323	10	.	.	PUNCT
cana-1011	324	1	2056–2060	2056–2060	NOUN
cana-1011	324	2	.	.	PUNCT
cana-1011	325	1	[	[	X
cana-1011	325	2	17	17	NUM
cana-1011	325	3	]	]	X
cana-1011	325	4	h.	h.	PROPN
cana-1011	325	5	sak	sak	PROPN
cana-1011	325	6	,	,	PUNCT
cana-1011	325	7	a.	a.	PROPN
cana-1011	325	8	senior	senior	NOUN
cana-1011	325	9	,	,	PUNCT
cana-1011	325	10	and	and	CCONJ
cana-1011	325	11	f.	f.	PROPN
cana-1011	325	12	beaufays	beaufays	PROPN
cana-1011	325	13	,	,	PUNCT
cana-1011	325	14	‘	'	PUNCT
cana-1011	325	15	‘	'	PUNCT
cana-1011	325	16	long	long	ADJ
cana-1011	325	17	short	short	ADJ
cana-1011	325	18	-	-	PUNCT
cana-1011	325	19	term	term	NOUN
cana-1011	325	20	memory	memory	NOUN
cana-1011	325	21	based	base	VERB
cana-1011	325	22	recurrent	recurrent	ADJ
cana-1011	325	23	neural	neural	ADJ
cana-1011	325	24	network	network	NOUN
cana-1011	325	25	architectures	architecture	NOUN
cana-1011	325	26	for	for	ADP
cana-1011	325	27	large	large	ADJ
cana-1011	325	28	vocabulary	vocabulary	ADJ
cana-1011	325	29	speech	speech	NOUN
cana-1011	325	30	recognition	recognition	NOUN
cana-1011	325	31	,	,	PUNCT
cana-1011	325	32	’’	’'	PUNCT
cana-1011	325	33	2020	2020	NUM
cana-1011	325	34	,	,	PUNCT
cana-1011	325	35	arxiv:1402.1128	arxiv:1402.1128	NOUN
cana-1011	325	36	.	.	PUNCT
cana-1011	326	1	[	[	X
cana-1011	326	2	18	18	NUM
cana-1011	326	3	]	]	X
cana-1011	326	4	j.	j.	PROPN
cana-1011	326	5	t.	t.	PROPN
cana-1011	326	6	geiger	geiger	PROPN
cana-1011	326	7	,	,	PUNCT
cana-1011	326	8	z.	z.	PROPN
cana-1011	326	9	zhang	zhang	PROPN
cana-1011	326	10	,	,	PUNCT
cana-1011	326	11	f.	f.	PROPN
cana-1011	326	12	weninger	weninger	PROPN
cana-1011	326	13	,	,	PUNCT
cana-1011	326	14	b.	b.	PROPN
cana-1011	326	15	schuller	schuller	PROPN
cana-1011	326	16	,	,	PUNCT
cana-1011	326	17	and	and	CCONJ
cana-1011	326	18	g.	g.	PROPN
cana-1011	326	19	rigoll	rigoll	PROPN
cana-1011	326	20	,	,	PUNCT
cana-1011	326	21	‘	'	PUNCT
cana-1011	326	22	‘	'	PUNCT
cana-1011	326	23	robust	robust	ADJ
cana-1011	326	24	speech	speech	NOUN
cana-1011	326	25	recognition	recognition	NOUN
cana-1011	326	26	using	use	VERB
cana-1011	326	27	long	long	ADJ
cana-1011	326	28	short	short	ADJ
cana-1011	326	29	-	-	PUNCT
cana-1011	326	30	term	term	NOUN
cana-1011	326	31	memory	memory	NOUN
cana-1011	326	32	recurrent	recurrent	NOUN
cana-1011	326	33	neural	neural	ADJ
cana-1011	326	34	networks	network	NOUN
cana-1011	326	35	for	for	ADP
cana-1011	326	36	hybrid	hybrid	ADJ
cana-1011	326	37	acoustic	acoustic	ADJ
cana-1011	326	38	modelling	modelling	NOUN
cana-1011	326	39	,	,	PUNCT
cana-1011	326	40	’’	’'	PUNCT
cana-1011	326	41	in	in	ADP
cana-1011	326	42	proc	proc	NOUN
cana-1011	326	43	.	.	PUNCT
cana-1011	327	1	15th	15th	ADJ
cana-1011	327	2	annu	annu	PROPN
cana-1011	327	3	.	.	PUNCT
cana-1011	327	4	conf	conf	PROPN
cana-1011	327	5	.	.	PUNCT
cana-1011	328	1	int	int	NOUN
cana-1011	328	2	.	.	PUNCT
cana-1011	329	1	speech	speech	PROPN
cana-1011	329	2	commun	commun	PROPN
cana-1011	329	3	.	.	PUNCT
cana-1011	330	1	assoc	assoc	PROPN
cana-1011	330	2	.	.	PROPN
cana-1011	330	3	,	,	PUNCT
cana-1011	330	4	2019	2019	NUM
cana-1011	330	5	,	,	PUNCT
cana-1011	330	6	pp	pp	ADJ
cana-1011	330	7	.	.	PUNCT
cana-1011	331	1	1–5	1–5	X
cana-1011	331	2	.	.	PUNCT
cana-1011	332	1	[	[	X
cana-1011	332	2	19	19	NUM
cana-1011	332	3	]	]	X
cana-1011	332	4	h.	h.	PROPN
cana-1011	332	5	sak	sak	PROPN
cana-1011	332	6	,	,	PUNCT
cana-1011	332	7	a.	a.	PROPN
cana-1011	332	8	senior	senior	PROPN
cana-1011	332	9	,	,	PUNCT
cana-1011	332	10	k.	k.	PROPN
cana-1011	332	11	rao	rao	PROPN
cana-1011	332	12	,	,	PUNCT
cana-1011	332	13	and	and	CCONJ
cana-1011	332	14	f.	f.	PROPN
cana-1011	332	15	beaufays	beaufays	PROPN
cana-1011	332	16	,	,	PUNCT
cana-1011	332	17	‘	'	PUNCT
cana-1011	332	18	‘	'	PUNCT
cana-1011	332	19	fast	fast	ADJ
cana-1011	332	20	and	and	CCONJ
cana-1011	332	21	accurate	accurate	ADJ
cana-1011	332	22	recurrent	recurrent	ADJ
cana-1011	332	23	neural	neural	ADJ
cana-1011	332	24	network	network	NOUN
cana-1011	332	25	acoustic	acoustic	ADJ
cana-1011	332	26	models	model	NOUN
cana-1011	332	27	for	for	ADP
cana-1011	332	28	speech	speech	NOUN
cana-1011	332	29	recognition	recognition	NOUN
cana-1011	332	30	,	,	PUNCT
cana-1011	332	31	’’	’'	PUNCT
cana-1011	332	32	2020	2020	NUM
cana-1011	332	33	,	,	PUNCT
cana-1011	332	34	arxiv:1507.06947	arxiv:1507.06947	NUM
cana-1011	332	35	.	.	PUNCT
cana-1011	333	1	[	[	X
cana-1011	333	2	20	20	NUM
cana-1011	333	3	]	]	X
cana-1011	333	4	y.	y.	PROPN
cana-1011	333	5	yu	yu	PROPN
cana-1011	333	6	,	,	PUNCT
cana-1011	333	7	x.	x.	NOUN
cana-1011	333	8	si	si	PROPN
cana-1011	333	9	,	,	PUNCT
cana-1011	333	10	c.	c.	PROPN
cana-1011	333	11	hu	hu	PROPN
cana-1011	333	12	,	,	PUNCT
cana-1011	333	13	and	and	CCONJ
cana-1011	333	14	z.	z.	PROPN
cana-1011	333	15	jianxun	jianxun	PROPN
cana-1011	333	16	,	,	PUNCT
cana-1011	333	17	‘	'	PUNCT
cana-1011	333	18	‘	'	PUNCT
cana-1011	333	19	a	a	DET
cana-1011	333	20	review	review	NOUN
cana-1011	333	21	of	of	ADP
cana-1011	333	22	recurrent	recurrent	ADJ
cana-1011	333	23	neural	neural	ADJ
cana-1011	333	24	networks	network	NOUN
cana-1011	333	25	:	:	PUNCT
cana-1011	333	26	lstm	lstm	NOUN
cana-1011	333	27	cells	cell	NOUN
cana-1011	333	28	and	and	CCONJ
cana-1011	333	29	network	network	NOUN
cana-1011	333	30	architectures	architecture	NOUN
cana-1011	333	31	,	,	PUNCT
cana-1011	333	32	’’	’'	PUNCT
cana-1011	333	33	neural	neural	ADJ
cana-1011	333	34	comput	comput	NOUN
cana-1011	333	35	.	.	PUNCT
cana-1011	334	1	,	,	PUNCT
cana-1011	334	2	vol	vol	NOUN
cana-1011	334	3	.	.	PROPN
cana-1011	335	1	31	31	NUM
cana-1011	335	2	,	,	PUNCT
cana-1011	335	3	no	no	INTJ
cana-1011	335	4	.	.	NOUN
cana-1011	335	5	7	7	NUM
cana-1011	335	6	,	,	PUNCT
cana-1011	335	7	pp	pp	ADJ
cana-1011	335	8	.	.	PUNCT
cana-1011	336	1	1235–1270	1235–1270	NUM
cana-1011	336	2	,	,	PUNCT
cana-1011	336	3	jul	jul	PROPN
cana-1011	336	4	.	.	PROPN
cana-1011	336	5	2019	2019	NUM
cana-1011	336	6	.	.	PUNCT
cana-1011	337	1	[	[	X
cana-1011	337	2	21	21	NUM
cana-1011	337	3	]	]	PUNCT
cana-1011	337	4	a.	a.	NOUN
cana-1011	337	5	graves	grave	NOUN
cana-1011	337	6	,	,	PUNCT
cana-1011	337	7	a.-r	a.-r	PROPN
cana-1011	337	8	.	.	PUNCT
cana-1011	338	1	mohamed	mohamed	PROPN
cana-1011	338	2	,	,	PUNCT
cana-1011	338	3	and	and	CCONJ
cana-1011	338	4	g.	g.	PROPN
cana-1011	338	5	hinton	hinton	PROPN
cana-1011	338	6	,	,	PUNCT
cana-1011	338	7	‘	'	PUNCT
cana-1011	338	8	‘	'	PUNCT
cana-1011	338	9	speech	speech	NOUN
cana-1011	338	10	recognition	recognition	NOUN
cana-1011	338	11	with	with	ADP
cana-1011	338	12	deep	deep	ADJ
cana-1011	338	13	recurrent	recurrent	ADJ
cana-1011	338	14	neural	neural	ADJ
cana-1011	338	15	networks	network	NOUN
cana-1011	338	16	,	,	PUNCT
cana-1011	338	17	’’	’'	PUNCT
cana-1011	338	18	in	in	ADP
cana-1011	338	19	proc	proc	NOUN
cana-1011	338	20	.	.	PUNCT
cana-1011	339	1	ieee	ieee	PROPN
cana-1011	339	2	int	int	PROPN
cana-1011	339	3	.	.	PUNCT
cana-1011	340	1	conf	conf	PROPN
cana-1011	340	2	.	.	PUNCT
cana-1011	341	1	acoust	acoust	PROPN
cana-1011	341	2	.	.	PUNCT
cana-1011	342	1	,	,	PUNCT
cana-1011	342	2	speech	speech	NOUN
cana-1011	342	3	signal	signal	NOUN
cana-1011	342	4	process	process	NOUN
cana-1011	342	5	.	.	PUNCT
cana-1011	342	6	,	,	PUNCT
cana-1011	342	7	may	may	PROPN
cana-1011	342	8	2018	2018	NUM
cana-1011	342	9	,	,	PUNCT
cana-1011	342	10	pp	pp	ADV
cana-1011	342	11	.	.	PUNCT
cana-1011	343	1	6645–6649	6645–6649	NUM
cana-1011	343	2	.	.	PUNCT
cana-1011	344	1	[	[	X
cana-1011	344	2	22	22	NUM
cana-1011	344	3	]	]	X
cana-1011	344	4	hochreiter	hochreiter	PROPN
cana-1011	344	5	,	,	PUNCT
cana-1011	344	6	s.	s.	PROPN
cana-1011	344	7	;	;	PUNCT
cana-1011	344	8	schmidhuber	schmidhuber	PROPN
cana-1011	344	9	,	,	PUNCT
cana-1011	344	10	j.	j.	PROPN
cana-1011	344	11	long	long	PROPN
cana-1011	344	12	short	short	ADJ
cana-1011	344	13	-	-	PUNCT
cana-1011	344	14	term	term	NOUN
cana-1011	344	15	memory	memory	NOUN
cana-1011	344	16	.	.	PUNCT
cana-1011	345	1	neural	neural	ADJ
cana-1011	345	2	comput	comput	NOUN
cana-1011	345	3	.	.	PUNCT
cana-1011	346	1	1997	1997	NUM
cana-1011	346	2	,	,	PUNCT
cana-1011	346	3	9	9	NUM
cana-1011	346	4	,	,	PUNCT
cana-1011	346	5	1735–1780	1735–1780	NUM
cana-1011	346	6	.	.	PUNCT
cana-1011	347	1	[	[	X
cana-1011	347	2	23	23	NUM
cana-1011	347	3	]	]	PUNCT
cana-1011	347	4	manjunathswamy	manjunathswamy	PROPN
cana-1011	347	5	b.	b.	PROPN
cana-1011	347	6	e.	e.	PROPN
cana-1011	347	7	,	,	PUNCT
cana-1011	347	8	sunil	sunil	PROPN
cana-1011	347	9	kumar	kumar	PROPN
cana-1011	347	10	m.	m.	PROPN
cana-1011	347	11	,	,	PUNCT
cana-1011	347	12	b.	b.	PROPN
cana-1011	347	13	s.	s.	PROPN
cana-1011	347	14	.	.	PUNCT
cana-1011	348	1	(	(	PUNCT
cana-1011	348	2	2024	2024	NUM
cana-1011	348	3	)	)	PUNCT
cana-1011	348	4	.	.	PUNCT
cana-1011	349	1	designing	design	VERB
cana-1011	349	2	a	a	DET
cana-1011	349	3	framework	framework	NOUN
cana-1011	349	4	for	for	ADP
cana-1011	349	5	developing	develop	VERB
cana-1011	349	6	an	an	DET
cana-1011	349	7	adaptive	adaptive	ADJ
cana-1011	349	8	information	information	NOUN
cana-1011	349	9	retrieval	retrieval	NOUN
cana-1011	349	10	system	system	NOUN
cana-1011	349	11	that	that	PRON
cana-1011	349	12	personalizes	personalize	VERB
cana-1011	349	13	information	information	NOUN
cana-1011	349	14	.	.	PUNCT
cana-1011	350	1	international	international	ADJ
cana-1011	350	2	journal	journal	NOUN
cana-1011	350	3	of	of	ADP
cana-1011	350	4	intelligent	intelligent	ADJ
cana-1011	350	5	systems	system	NOUN
cana-1011	350	6	and	and	CCONJ
cana-1011	350	7	applications	application	NOUN
cana-1011	350	8	in	in	ADP
cana-1011	350	9	engineering	engineering	NOUN
cana-1011	350	10	,	,	PUNCT
cana-1011	350	11	12(21s	12(21s	NUM
cana-1011	350	12	)	)	PUNCT
cana-1011	350	13	,	,	PUNCT
cana-1011	350	14	1325–1333	1325–1333	NUM
cana-1011	350	15	.	.	PUNCT
cana-1011	351	1	[	[	X
cana-1011	351	2	24	24	NUM
cana-1011	351	3	]	]	SYM
cana-1011	351	4	sangamithra	sangamithra	PROPN
cana-1011	351	5	,	,	PUNCT
cana-1011	351	6	b.	b.	PROPN
cana-1011	351	7	,	,	PUNCT
cana-1011	351	8	swamy	swamy	PROPN
cana-1011	351	9	,	,	PUNCT
cana-1011	351	10	b.	b.	PROPN
cana-1011	351	11	m.	m.	PROPN
cana-1011	351	12	,	,	PUNCT
cana-1011	351	13	&	&	CCONJ
cana-1011	351	14	kumar	kumar	PROPN
cana-1011	351	15	,	,	PUNCT
cana-1011	351	16	m.	m.	NOUN
cana-1011	351	17	s.	s.	PROPN
cana-1011	351	18	(	(	PUNCT
cana-1011	351	19	2023	2023	NUM
cana-1011	351	20	)	)	PUNCT
cana-1011	351	21	.	.	PUNCT
cana-1011	352	1	evaluating	evaluate	VERB
cana-1011	352	2	the	the	DET
cana-1011	352	3	effectiveness	effectiveness	NOUN
cana-1011	352	4	of	of	ADP
cana-1011	352	5	rnn	rnn	NOUN
cana-1011	352	6	and	and	CCONJ
cana-1011	352	7	its	its	PRON
cana-1011	352	8	variants	variant	NOUN
cana-1011	352	9	for	for	ADP
cana-1011	352	10	personalized	personalized	ADJ
cana-1011	352	11	web	web	NOUN
cana-1011	352	12	search	search	NOUN
cana-1011	352	13	.	.	PUNCT
cana-1011	353	1	optical	optical	ADJ
cana-1011	353	2	and	and	CCONJ
cana-1011	353	3	quantum	quantum	NOUN
cana-1011	353	4	electronics	electronic	NOUN
cana-1011	353	5	,	,	PUNCT
cana-1011	353	6	55(13	55(13	NUM
cana-1011	353	7	)	)	PUNCT
cana-1011	353	8	,	,	PUNCT
cana-1011	353	9	1202	1202	NUM
cana-1011	353	10	.	.	PUNCT
cana-1011	354	1	[	[	X
cana-1011	354	2	25	25	NUM
cana-1011	354	3	]	]	PUNCT
cana-1011	354	4	sangamithra	sangamithra	PROPN
cana-1011	354	5	,	,	PUNCT
cana-1011	354	6	b.	b.	PROPN
cana-1011	354	7	,	,	PUNCT
cana-1011	354	8	b.	b.	PROPN
cana-1011	354	9	e.	e.	PROPN
cana-1011	354	10	manjunath	manjunath	PROPN
cana-1011	354	11	swamy	swamy	PROPN
cana-1011	354	12	,	,	PUNCT
cana-1011	354	13	and	and	CCONJ
cana-1011	354	14	m.	m.	PROPN
cana-1011	354	15	sunil	sunil	PROPN
cana-1011	354	16	kumar	kumar	PROPN
cana-1011	354	17	.	.	PUNCT
cana-1011	355	1	"	"	PUNCT
cana-1011	355	2	personalized	personalize	VERB
cana-1011	355	3	ranking	ranking	ADJ
cana-1011	355	4	mechanism	mechanism	NOUN
cana-1011	355	5	using	use	VERB
cana-1011	355	6	yandex	yandex	NOUN
cana-1011	355	7	dataset	dataset	NOUN
cana-1011	355	8	on	on	ADP
cana-1011	355	9	machine	machine	NOUN
cana-1011	355	10	learning	learning	NOUN
cana-1011	355	11	approaches	approach	NOUN
cana-1011	355	12	.	.	PUNCT
cana-1011	355	13	"	"	PUNCT
cana-1011	356	1	proceedings	proceeding	NOUN
cana-1011	356	2	of	of	ADP
cana-1011	356	3	the	the	DET
cana-1011	356	4	international	international	ADJ
cana-1011	356	5	conference	conference	NOUN
cana-1011	356	6	on	on	ADP
cana-1011	356	7	cognitive	cognitive	ADJ
cana-1011	356	8	and	and	CCONJ
cana-1011	356	9	intelligent	intelligent	ADJ
cana-1011	356	10	computing	computing	NOUN
cana-1011	356	11	:	:	PUNCT
cana-1011	356	12	iccic	iccic	ADJ
cana-1011	356	13	2021	2021	NUM
cana-1011	356	14	,	,	PUNCT
cana-1011	356	15	volume	volume	NOUN
cana-1011	356	16	1	1	NUM
cana-1011	356	17	.	.	PUNCT
cana-1011	357	1	singapore	singapore	PROPN
cana-1011	357	2	:	:	PUNCT
cana-1011	357	3	springer	springer	NOUN
cana-1011	357	4	nature	nature	PROPN
cana-1011	357	5	singapore	singapore	PROPN
cana-1011	357	6	,	,	PUNCT
cana-1011	357	7	2022	2022	NUM
cana-1011	357	8	.	.	PUNCT
cana-1011	358	1	[	[	X
cana-1011	358	2	26	26	NUM
cana-1011	358	3	]	]	X
cana-1011	358	4	chung	chung	PROPN
cana-1011	358	5	,	,	PUNCT
cana-1011	358	6	j.	j.	PROPN
cana-1011	358	7	,	,	PUNCT
cana-1011	358	8	gulcehre	gulcehre	PROPN
cana-1011	358	9	,	,	PUNCT
cana-1011	358	10	c.	c.	PROPN
cana-1011	358	11	,	,	PUNCT
cana-1011	358	12	cho	cho	PROPN
cana-1011	358	13	,	,	PUNCT
cana-1011	358	14	k.	k.	PROPN
cana-1011	358	15	,	,	PUNCT
cana-1011	358	16	&	&	CCONJ
cana-1011	358	17	bengio	bengio	PROPN
cana-1011	358	18	,	,	PUNCT
cana-1011	358	19	y.	y.	PROPN
cana-1011	358	20	(	(	PUNCT
cana-1011	358	21	2014	2014	NUM
cana-1011	358	22	)	)	PUNCT
cana-1011	358	23	.	.	PUNCT
cana-1011	359	1	empirical	empirical	ADJ
cana-1011	359	2	evaluation	evaluation	NOUN
cana-1011	359	3	of	of	ADP
cana-1011	359	4	gated	gate	VERB
cana-1011	359	5	recurrent	recurrent	ADJ
cana-1011	359	6	neural	neural	ADJ
cana-1011	359	7	networks	network	NOUN
cana-1011	359	8	on	on	ADP
cana-1011	359	9	sequence	sequence	NOUN
cana-1011	359	10	modeling	modeling	NOUN
cana-1011	359	11	.	.	PUNCT
cana-1011	360	1	arxiv	arxiv	PROPN
cana-1011	360	2	preprint	preprint	NOUN
cana-1011	360	3	arxiv:1412.3555	arxiv:1412.3555	NOUN