id	sid	tid	token	lemma	pos
cana-5550	1	1	communications	communication	NOUN
cana-5550	1	2	on	on	ADP
cana-5550	1	3	applied	apply	VERB
cana-5550	1	4	nonlinear	nonlinear	ADJ
cana-5550	1	5	analysis	analysis	NOUN
cana-5550	1	6	issn	issn	NOUN
cana-5550	1	7	:	:	PUNCT
cana-5550	1	8	1074	1074	NUM
cana-5550	1	9	-	-	PUNCT
cana-5550	1	10	133x	133x	NUM
cana-5550	1	11	vol	vol	NOUN
cana-5550	1	12	32	32	NUM
cana-5550	1	13	no	no	NOUN
cana-5550	1	14	.	.	NOUN
cana-5550	1	15	3	3	NUM
cana-5550	1	16	(	(	PUNCT
cana-5550	1	17	2025	2025	NUM
cana-5550	1	18	)	)	PUNCT
cana-5550	2	1	995	995	NUM
cana-5550	2	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	2	3	ai	ai	VERB
cana-5550	2	4	assisted	assist	VERB
cana-5550	2	5	quora	quora	NOUN
cana-5550	2	6	question	question	NOUN
cana-5550	2	7	pair	pair	NOUN
cana-5550	2	8	similarity	similarity	NOUN
cana-5550	2	9	evaluation	evaluation	NOUN
cana-5550	2	10	using	use	VERB
cana-5550	2	11	binary	binary	ADJ
cana-5550	2	12	classification	classification	PROPN
cana-5550	2	13	dr	dr	PROPN
cana-5550	2	14	j	j	PROPN
cana-5550	2	15	vijayashree	vijayashree	PROPN
cana-5550	2	16	1	1	NUM
cana-5550	2	17	,	,	PUNCT
cana-5550	2	18	dr	dr	PROPN
cana-5550	2	19	jayashree	jayashree	PROPN
cana-5550	2	20	j	j	PROPN
cana-5550	2	21	2	2	NUM
cana-5550	2	22	*	*	PROPN
cana-5550	2	23	,	,	PUNCT
cana-5550	2	24	mr	mr	PROPN
cana-5550	2	25	s	s	PROPN
cana-5550	2	26	vamsi	vamsi	PROPN
cana-5550	2	27	krishna	krishna	PROPN
cana-5550	2	28	3	3	NUM
cana-5550	2	29	,	,	PUNCT
cana-5550	2	30	mr	mr	PROPN
cana-5550	2	31	v	v	NUM
cana-5550	2	32	hemanth	hemanth	NOUN
cana-5550	2	33	4	4	NUM
cana-5550	2	34	,	,	PUNCT
cana-5550	2	35	mr	mr	PROPN
cana-5550	2	36	d	d	PROPN
cana-5550	2	37	v	v	PROPN
cana-5550	2	38	v	v	PROPN
cana-5550	2	39	sriram	sriram	PROPN
cana-5550	2	40	5	5	NUM
cana-5550	2	41	1	1	NUM
cana-5550	2	42	faculty	faculty	NOUN
cana-5550	2	43	,	,	PUNCT
cana-5550	2	44	department	department	NOUN
cana-5550	2	45	of	of	ADP
cana-5550	2	46	computer	computer	NOUN
cana-5550	2	47	science	science	PROPN
cana-5550	2	48	,	,	PUNCT
cana-5550	2	49	vellore	vellore	PROPN
cana-5550	2	50	institute	institute	PROPN
cana-5550	2	51	of	of	ADP
cana-5550	2	52	technology	technology	PROPN
cana-5550	2	53	,	,	PUNCT
cana-5550	2	54	vellore	vellore	NOUN
cana-5550	2	55	632014	632014	NUM
cana-5550	2	56	2	2	NUM
cana-5550	2	57	*	*	NOUN
cana-5550	2	58	faculty	faculty	NOUN
cana-5550	2	59	,	,	PUNCT
cana-5550	2	60	department	department	NOUN
cana-5550	2	61	of	of	ADP
cana-5550	2	62	computer	computer	NOUN
cana-5550	2	63	science	science	PROPN
cana-5550	2	64	,	,	PUNCT
cana-5550	2	65	vellore	vellore	PROPN
cana-5550	2	66	institute	institute	PROPN
cana-5550	2	67	of	of	ADP
cana-5550	2	68	technology	technology	PROPN
cana-5550	2	69	,	,	PUNCT
cana-5550	2	70	vellore	vellore	NOUN
cana-5550	2	71	–	–	PUNCT
cana-5550	2	72	632014	632014	NUM
cana-5550	2	73	2	2	NUM
cana-5550	2	74	*	*	NOUN
cana-5550	2	75	email	email	NOUN
cana-5550	2	76	:	:	PUNCT
cana-5550	2	77	jayashree.j@vit.ac.in	jayashree.j@vit.ac.in	PROPN
cana-5550	2	78	3	3	NUM
cana-5550	2	79	department	department	NOUN
cana-5550	2	80	of	of	ADP
cana-5550	2	81	computer	computer	NOUN
cana-5550	2	82	science	science	NOUN
cana-5550	2	83	and	and	CCONJ
cana-5550	2	84	engineering	engineering	NOUN
cana-5550	2	85	,	,	PUNCT
cana-5550	2	86	vellore	vellore	PROPN
cana-5550	2	87	institute	institute	PROPN
cana-5550	2	88	of	of	ADP
cana-5550	2	89	technology	technology	PROPN
cana-5550	2	90	,	,	PUNCT
cana-5550	2	91	vellore	vellore	PROPN
cana-5550	2	92	,	,	PUNCT
cana-5550	2	93	india	india	PROPN
cana-5550	2	94	.	.	PROPN
cana-5550	3	1	4	4	NUM
cana-5550	3	2	department	department	NOUN
cana-5550	3	3	of	of	ADP
cana-5550	3	4	computer	computer	NOUN
cana-5550	3	5	science	science	NOUN
cana-5550	3	6	and	and	CCONJ
cana-5550	3	7	engineering	engineering	NOUN
cana-5550	3	8	,	,	PUNCT
cana-5550	3	9	vellore	vellore	PROPN
cana-5550	3	10	institute	institute	PROPN
cana-5550	3	11	of	of	ADP
cana-5550	3	12	technology	technology	PROPN
cana-5550	3	13	,	,	PUNCT
cana-5550	3	14	vellore	vellore	PROPN
cana-5550	3	15	,	,	PUNCT
cana-5550	3	16	india	india	PROPN
cana-5550	3	17	.	.	PROPN
cana-5550	3	18	5	5	NUM
cana-5550	3	19	department	department	NOUN
cana-5550	3	20	of	of	ADP
cana-5550	3	21	computer	computer	NOUN
cana-5550	3	22	science	science	NOUN
cana-5550	3	23	and	and	CCONJ
cana-5550	3	24	engineering	engineering	NOUN
cana-5550	3	25	,	,	PUNCT
cana-5550	3	26	vellore	vellore	PROPN
cana-5550	3	27	institute	institute	PROPN
cana-5550	3	28	of	of	ADP
cana-5550	3	29	technology	technology	PROPN
cana-5550	3	30	,	,	PUNCT
cana-5550	3	31	vellore	vellore	PROPN
cana-5550	3	32	,	,	PUNCT
cana-5550	3	33	india	india	PROPN
cana-5550	3	34	.	.	PUNCT
cana-5550	4	1	article	article	PROPN
cana-5550	4	2	history	history	NOUN
cana-5550	4	3	:	:	PUNCT
cana-5550	4	4	received	receive	VERB
cana-5550	4	5	:	:	PUNCT
cana-5550	4	6	12	12	NUM
cana-5550	4	7	-	-	SYM
cana-5550	4	8	01	01	NUM
cana-5550	4	9	-	-	PUNCT
cana-5550	4	10	2025	2025	NUM
cana-5550	4	11	revised	revise	VERB
cana-5550	4	12	:	:	PUNCT
cana-5550	4	13	15	15	NUM
cana-5550	4	14	-	-	NUM
cana-5550	4	15	02	02	NUM
cana-5550	4	16	-	-	PUNCT
cana-5550	4	17	2025	2025	NUM
cana-5550	4	18	accepted	accept	VERB
cana-5550	4	19	:	:	PUNCT
cana-5550	4	20	01	01	NUM
cana-5550	4	21	-	-	SYM
cana-5550	4	22	03	03	NUM
cana-5550	4	23	-	-	PUNCT
cana-5550	4	24	2025	2025	NUM
cana-5550	4	25	abstract	abstract	NOUN
cana-5550	4	26	:	:	PUNCT
cana-5550	4	27	the	the	DET
cana-5550	4	28	domain	domain	NOUN
cana-5550	4	29	for	for	ADP
cana-5550	4	30	the	the	DET
cana-5550	4	31	study	study	NOUN
cana-5550	4	32	is	be	AUX
cana-5550	4	33	social	social	ADJ
cana-5550	4	34	media	medium	NOUN
cana-5550	4	35	where	where	SCONJ
cana-5550	4	36	the	the	DET
cana-5550	4	37	task	task	NOUN
cana-5550	4	38	of	of	ADP
cana-5550	4	39	identifying	identify	VERB
cana-5550	4	40	semantic	semantic	ADJ
cana-5550	4	41	similarities	similarity	NOUN
cana-5550	4	42	among	among	ADP
cana-5550	4	43	phrases	phrase	NOUN
cana-5550	4	44	remains	remain	VERB
cana-5550	4	45	a	a	DET
cana-5550	4	46	formidable	formidable	ADJ
cana-5550	4	47	difficulty	difficulty	NOUN
cana-5550	4	48	in	in	ADP
cana-5550	4	49	contemporary	contemporary	ADJ
cana-5550	4	50	times	time	NOUN
cana-5550	4	51	,	,	PUNCT
cana-5550	4	52	primarily	primarily	ADV
cana-5550	4	53	due	due	ADP
cana-5550	4	54	to	to	ADP
cana-5550	4	55	the	the	DET
cana-5550	4	56	inherent	inherent	ADJ
cana-5550	4	57	ambiguity	ambiguity	NOUN
cana-5550	4	58	of	of	ADP
cana-5550	4	59	natural	natural	ADJ
cana-5550	4	60	languages	language	NOUN
cana-5550	4	61	.	.	PUNCT
cana-5550	5	1	the	the	DET
cana-5550	5	2	study	study	NOUN
cana-5550	5	3	presents	present	VERB
cana-5550	5	4	a	a	DET
cana-5550	5	5	direct	direct	ADJ
cana-5550	5	6	approach	approach	NOUN
cana-5550	5	7	for	for	ADP
cana-5550	5	8	identifying	identify	VERB
cana-5550	5	9	questions	question	NOUN
cana-5550	5	10	that	that	PRON
cana-5550	5	11	share	share	VERB
cana-5550	5	12	semantic	semantic	ADJ
cana-5550	5	13	similarities	similarity	NOUN
cana-5550	5	14	by	by	ADP
cana-5550	5	15	utilizing	utilize	VERB
cana-5550	5	16	the	the	DET
cana-5550	5	17	word	word	NOUN
cana-5550	5	18	embeddings	embedding	NOUN
cana-5550	5	19	and	and	CCONJ
cana-5550	5	20	convolutional	convolutional	ADJ
cana-5550	5	21	neural	neural	ADJ
cana-5550	5	22	networks	network	NOUN
cana-5550	5	23	(	(	PUNCT
cana-5550	5	24	cnns	cnns	PROPN
cana-5550	5	25	)	)	PUNCT
cana-5550	5	26	possess	possess	VERB
cana-5550	5	27	various	various	ADJ
cana-5550	5	28	capacities	capacity	NOUN
cana-5550	5	29	.	.	PUNCT
cana-5550	6	1	furthermore	furthermore	ADV
cana-5550	6	2	,	,	PUNCT
cana-5550	6	3	the	the	DET
cana-5550	6	4	research	research	NOUN
cana-5550	6	5	showcases	showcase	VERB
cana-5550	6	6	the	the	DET
cana-5550	6	7	efficacy	efficacy	NOUN
cana-5550	6	8	of	of	ADP
cana-5550	6	9	employing	employ	VERB
cana-5550	6	10	the	the	DET
cana-5550	6	11	cosine	cosine	NOUN
cana-5550	6	12	similarity	similarity	NOUN
cana-5550	6	13	metric	metric	ADJ
cana-5550	6	14	for	for	ADP
cana-5550	6	15	the	the	DET
cana-5550	6	16	purpose	purpose	NOUN
cana-5550	6	17	of	of	ADP
cana-5550	6	18	properly	properly	ADV
cana-5550	6	19	comparing	compare	VERB
cana-5550	6	20	feature	feature	NOUN
cana-5550	6	21	vectors	vector	NOUN
cana-5550	6	22	.	.	PUNCT
cana-5550	7	1	our	our	PRON
cana-5550	7	2	model	model	NOUN
cana-5550	7	3	demonstrates	demonstrate	VERB
cana-5550	7	4	strong	strong	ADJ
cana-5550	7	5	performance	performance	NOUN
cana-5550	7	6	on	on	ADP
cana-5550	7	7	the	the	DET
cana-5550	7	8	quora	quora	NOUN
cana-5550	7	9	dataset	dataset	VERB
cana-5550	7	10	and	and	CCONJ
cana-5550	7	11	corroborates	corroborate	VERB
cana-5550	7	12	the	the	DET
cana-5550	7	13	current	current	ADJ
cana-5550	7	14	evidence	evidence	NOUN
cana-5550	7	15	that	that	SCONJ
cana-5550	7	16	convolutional	convolutional	ADJ
cana-5550	7	17	neural	neural	ADJ
cana-5550	7	18	networks	network	NOUN
cana-5550	7	19	(	(	PUNCT
cana-5550	7	20	cnns	cnns	PROPN
cana-5550	7	21	)	)	PUNCT
cana-5550	7	22	are	be	AUX
cana-5550	7	23	efficacious	efficacious	ADJ
cana-5550	7	24	for	for	ADP
cana-5550	7	25	tasks	task	NOUN
cana-5550	7	26	involving	involve	VERB
cana-5550	7	27	paraphrase	paraphrase	NOUN
cana-5550	7	28	identification	identification	NOUN
cana-5550	7	29	.	.	PUNCT
cana-5550	8	1	the	the	DET
cana-5550	8	2	semantic	semantic	ADJ
cana-5550	8	3	relatedness	relatedness	NOUN
cana-5550	8	4	of	of	ADP
cana-5550	8	5	a	a	DET
cana-5550	8	6	pair	pair	NOUN
cana-5550	8	7	of	of	ADP
cana-5550	8	8	concepts	concept	NOUN
cana-5550	8	9	refers	refer	VERB
cana-5550	8	10	to	to	ADP
cana-5550	8	11	the	the	DET
cana-5550	8	12	evaluation	evaluation	NOUN
cana-5550	8	13	,	,	PUNCT
cana-5550	8	14	akin	akin	ADJ
cana-5550	8	15	to	to	ADP
cana-5550	8	16	that	that	PRON
cana-5550	8	17	of	of	ADP
cana-5550	8	18	humans	human	NOUN
cana-5550	8	19	,	,	PUNCT
cana-5550	8	20	of	of	ADP
cana-5550	8	21	their	their	PRON
cana-5550	8	22	connection	connection	NOUN
cana-5550	8	23	.	.	PUNCT
cana-5550	9	1	comprehending	comprehend	VERB
cana-5550	9	2	and	and	CCONJ
cana-5550	9	3	utilizing	utilize	VERB
cana-5550	9	4	the	the	DET
cana-5550	9	5	semantic	semantic	ADJ
cana-5550	9	6	connection	connection	NOUN
cana-5550	9	7	between	between	ADP
cana-5550	9	8	phrases	phrase	NOUN
cana-5550	9	9	can	can	AUX
cana-5550	9	10	enable	enable	VERB
cana-5550	9	11	the	the	DET
cana-5550	9	12	utilization	utilization	NOUN
cana-5550	9	13	of	of	ADP
cana-5550	9	14	the	the	DET
cana-5550	9	15	vast	vast	ADJ
cana-5550	9	16	amount	amount	NOUN
cana-5550	9	17	of	of	ADP
cana-5550	9	18	user	user	NOUN
cana-5550	9	19	-	-	PUNCT
cana-5550	9	20	generated	generate	VERB
cana-5550	9	21	material	material	NOUN
cana-5550	9	22	on	on	ADP
cana-5550	9	23	platforms	platform	NOUN
cana-5550	9	24	like	like	ADP
cana-5550	9	25	quora	quora	NOUN
cana-5550	9	26	.	.	PUNCT
cana-5550	10	1	quora	quora	PROPN
cana-5550	10	2	serves	serve	VERB
cana-5550	10	3	as	as	ADP
cana-5550	10	4	a	a	DET
cana-5550	10	5	platform	platform	NOUN
cana-5550	10	6	for	for	ADP
cana-5550	10	7	acquiring	acquire	VERB
cana-5550	10	8	and	and	CCONJ
cana-5550	10	9	disseminating	disseminate	VERB
cana-5550	10	10	knowledge	knowledge	NOUN
cana-5550	10	11	over	over	ADP
cana-5550	10	12	a	a	DET
cana-5550	10	13	wide	wide	ADJ
cana-5550	10	14	gamut	gamut	NOUN
cana-5550	10	15	.	.	PUNCT
cana-5550	11	1	this	this	DET
cana-5550	11	2	platform	platform	NOUN
cana-5550	11	3	serves	serve	VERB
cana-5550	11	4	as	as	ADP
cana-5550	11	5	a	a	DET
cana-5550	11	6	means	means	NOUN
cana-5550	11	7	to	to	PART
cana-5550	11	8	inquire	inquire	VERB
cana-5550	11	9	and	and	CCONJ
cana-5550	11	10	engage	engage	VERB
cana-5550	11	11	with	with	ADP
cana-5550	11	12	individuals	individual	NOUN
cana-5550	11	13	who	who	PRON
cana-5550	11	14	provide	provide	VERB
cana-5550	11	15	distinctive	distinctive	ADJ
cana-5550	11	16	perspectives	perspective	NOUN
cana-5550	11	17	and	and	CCONJ
cana-5550	11	18	high	high	ADJ
cana-5550	11	19	-	-	PUNCT
cana-5550	11	20	quality	quality	NOUN
cana-5550	11	21	responses	response	NOUN
cana-5550	11	22	.	.	PUNCT
cana-5550	12	1	it	it	PRON
cana-5550	12	2	enables	enable	VERB
cana-5550	12	3	individuals	individual	NOUN
cana-5550	12	4	to	to	PART
cana-5550	12	5	acquire	acquire	VERB
cana-5550	12	6	knowledge	knowledge	NOUN
cana-5550	12	7	from	from	ADP
cana-5550	12	8	one	one	NUM
cana-5550	12	9	another	another	PRON
cana-5550	12	10	and	and	CCONJ
cana-5550	12	11	gain	gain	VERB
cana-5550	12	12	a	a	DET
cana-5550	12	13	deeper	deep	ADJ
cana-5550	12	14	comprehension	comprehension	NOUN
cana-5550	12	15	of	of	ADP
cana-5550	12	16	the	the	DET
cana-5550	12	17	universe	universe	NOUN
cana-5550	12	18	.	.	PUNCT
cana-5550	13	1	given	give	VERB
cana-5550	13	2	the	the	DET
cana-5550	13	3	substantial	substantial	ADJ
cana-5550	13	4	monthly	monthly	ADJ
cana-5550	13	5	visitor	visitor	NOUN
cana-5550	13	6	count	count	NOUN
cana-5550	13	7	above	above	ADP
cana-5550	13	8	100	100	NUM
cana-5550	13	9	million	million	NUM
cana-5550	13	10	,	,	PUNCT
cana-5550	13	11	it	it	PRON
cana-5550	13	12	is	be	AUX
cana-5550	13	13	not	not	PART
cana-5550	13	14	unexpected	unexpected	ADJ
cana-5550	13	15	that	that	SCONJ
cana-5550	13	16	a	a	DET
cana-5550	13	17	considerable	considerable	ADJ
cana-5550	13	18	proportion	proportion	NOUN
cana-5550	13	19	of	of	ADP
cana-5550	13	20	individuals	individual	NOUN
cana-5550	13	21	present	present	VERB
cana-5550	13	22	inquiries	inquiry	NOUN
cana-5550	13	23	employing	employ	VERB
cana-5550	13	24	comparable	comparable	ADJ
cana-5550	13	25	language	language	NOUN
cana-5550	13	26	.	.	PUNCT
cana-5550	14	1	searchers	searcher	NOUN
cana-5550	14	2	spend	spend	VERB
cana-5550	14	3	more	more	ADJ
cana-5550	14	4	to	to	PART
cana-5550	14	5	locate	locate	VERB
cana-5550	14	6	the	the	DET
cana-5550	14	7	best	good	ADJ
cana-5550	14	8	response	response	NOUN
cana-5550	14	9	to	to	ADP
cana-5550	14	10	their	their	PRON
cana-5550	14	11	question	question	NOUN
cana-5550	14	12	when	when	SCONJ
cana-5550	14	13	there	there	PRON
cana-5550	14	14	are	be	VERB
cana-5550	14	15	other	other	ADJ
cana-5550	14	16	searches	search	NOUN
cana-5550	14	17	with	with	ADP
cana-5550	14	18	similar	similar	ADJ
cana-5550	14	19	goals	goal	NOUN
cana-5550	14	20	.	.	PUNCT
cana-5550	15	1	this	this	PRON
cana-5550	15	2	makes	make	VERB
cana-5550	15	3	writers	writer	NOUN
cana-5550	15	4	feel	feel	VERB
cana-5550	15	5	obligated	obligate	VERB
cana-5550	15	6	to	to	PART
cana-5550	15	7	provide	provide	VERB
cana-5550	15	8	variations	variation	NOUN
cana-5550	15	9	on	on	ADP
cana-5550	15	10	the	the	DET
cana-5550	15	11	same	same	ADJ
cana-5550	15	12	question	question	NOUN
cana-5550	15	13	.	.	PUNCT
cana-5550	16	1	keywords	keyword	NOUN
cana-5550	16	2	:	:	PUNCT
cana-5550	16	3	question	question	NOUN
cana-5550	16	4	classifier	classifier	NOUN
cana-5550	16	5	,	,	PUNCT
cana-5550	16	6	pos	pos	NOUN
cana-5550	16	7	tagger	tagger	NOUN
cana-5550	16	8	,	,	PUNCT
cana-5550	16	9	clustering	clustering	ADJ
cana-5550	16	10	algorithm	algorithm	NOUN
cana-5550	16	11	,	,	PUNCT
cana-5550	16	12	wordnet	wordnet	PROPN
cana-5550	16	13	,	,	PUNCT
cana-5550	16	14	lucene	lucene	PROPN
cana-5550	16	15	index	index	PROPN
cana-5550	16	16	,	,	PUNCT
cana-5550	16	17	binary	binary	ADJ
cana-5550	16	18	confusion	confusion	NOUN
cana-5550	16	19	matrix	matrix	NOUN
cana-5550	16	20	,	,	PUNCT
cana-5550	16	21	log	log	NOUN
cana-5550	16	22	-	-	PUNCT
cana-5550	16	23	loss	loss	NOUN
cana-5550	16	24	,	,	PUNCT
cana-5550	16	25	word2vec	word2vec	X
cana-5550	16	26	.	.	NOUN
cana-5550	16	27	1	1	NUM
cana-5550	16	28	.	.	X
cana-5550	17	1	introduction	introduction	NOUN
cana-5550	17	2	this	this	DET
cana-5550	17	3	study	study	NOUN
cana-5550	17	4	looks	look	VERB
cana-5550	17	5	at	at	ADP
cana-5550	17	6	how	how	SCONJ
cana-5550	17	7	well	well	ADV
cana-5550	17	8	it	it	PRON
cana-5550	17	9	can	can	AUX
cana-5550	17	10	tell	tell	VERB
cana-5550	17	11	if	if	SCONJ
cana-5550	17	12	two	two	NUM
cana-5550	17	13	questions	question	NOUN
cana-5550	17	14	asked	ask	VERB
cana-5550	17	15	before	before	ADV
cana-5550	17	16	are	be	AUX
cana-5550	17	17	the	the	DET
cana-5550	17	18	same	same	ADJ
cana-5550	17	19	or	or	CCONJ
cana-5550	17	20	different	different	ADJ
cana-5550	17	21	.	.	PUNCT
cana-5550	18	1	it	it	PRON
cana-5550	18	2	tries	try	VERB
cana-5550	18	3	to	to	PART
cana-5550	18	4	predict	predict	VERB
cana-5550	18	5	if	if	SCONJ
cana-5550	18	6	question	question	NOUN
cana-5550	18	7	pairs	pair	NOUN
cana-5550	18	8	are	be	AUX
cana-5550	18	9	duplicates	duplicate	NOUN
cana-5550	18	10	or	or	CCONJ
cana-5550	18	11	unique­	unique­	ADJ
cana-5550	18	12	questions	question	NOUN
cana-5550	18	13	.	.	PUNCT
cana-5550	19	1	having	have	VERB
cana-5550	19	2	readily	readily	ADV
cana-5550	19	3	available­	available­	PROPN
cana-5550	19	4	responses	response	NOUN
cana-5550	19	5	to	to	ADP
cana-5550	19	6	freque­ntly	freque­ntly	ADV
cana-5550	19	7	asked	ask	VERB
cana-5550	19	8	questions	question	NOUN
cana-5550	19	9	could	could	AUX
cana-5550	19	10	be	be	AUX
cana-5550	19	11	he­lpful	he­lpful	ADJ
cana-5550	19	12	for	for	ADP
cana-5550	19	13	providing	provide	VERB
cana-5550	19	14	quick	quick	ADJ
cana-5550	19	15	replies	reply	NOUN
cana-5550	19	16	.	.	PUNCT
cana-5550	20	1	answering	answer	VERB
cana-5550	20	2	inquirie­s	inquirie­	NOUN
cana-5550	20	3	that	that	PRON
cana-5550	20	4	have	have	AUX
cana-5550	20	5	previously	previously	ADV
cana-5550	20	6	come	come	VERB
cana-5550	20	7	up	up	ADP
cana-5550	20	8	may	may	AUX
cana-5550	20	9	allow	allow	VERB
cana-5550	20	10	for	for	ADP
cana-5550	20	11	swift	swift	ADJ
cana-5550	20	12	guidance­	guidance­	NOUN
cana-5550	20	13	on	on	ADP
cana-5550	20	14	matters	matter	NOUN
cana-5550	20	15	already	already	ADV
cana-5550	20	16	explored	explore	VERB
cana-5550	20	17	.	.	PUNCT
cana-5550	21	1	communications	communication	NOUN
cana-5550	21	2	on	on	ADP
cana-5550	21	3	applied	apply	VERB
cana-5550	21	4	nonlinear	nonlinear	ADJ
cana-5550	21	5	analysis	analysis	NOUN
cana-5550	21	6	issn	issn	NOUN
cana-5550	21	7	:	:	PUNCT
cana-5550	21	8	1074	1074	NUM
cana-5550	21	9	-	-	PUNCT
cana-5550	21	10	133x	133x	NUM
cana-5550	21	11	vol	vol	NOUN
cana-5550	21	12	32	32	NUM
cana-5550	21	13	no	no	NOUN
cana-5550	21	14	.	.	NOUN
cana-5550	21	15	3	3	NUM
cana-5550	21	16	(	(	PUNCT
cana-5550	21	17	2025	2025	NUM
cana-5550	21	18	)	)	PUNCT
cana-5550	21	19	996	996	NUM
cana-5550	21	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	21	21	asking	ask	VERB
cana-5550	21	22	many	many	ADJ
cana-5550	21	23	similar	similar	ADJ
cana-5550	21	24	questions	question	NOUN
cana-5550	21	25	could	could	AUX
cana-5550	21	26	lead	lead	VERB
cana-5550	21	27	questioners	questioner	NOUN
cana-5550	21	28	to	to	PART
cana-5550	21	29	waste	waste	VERB
cana-5550	21	30	time	time	NOUN
cana-5550	21	31	hunting	hunting	NOUN
cana-5550	21	32	for	for	ADP
cana-5550	21	33	the	the	DET
cana-5550	21	34	perfect	perfect	ADJ
cana-5550	21	35	answer	answer	NOUN
cana-5550	21	36	,	,	PUNCT
cana-5550	21	37	also	also	ADV
cana-5550	21	38	causing	cause	VERB
cana-5550	21	39	responders	responder	NOUN
cana-5550	21	40	to	to	PART
cana-5550	21	41	feel	feel	VERB
cana-5550	21	42	pressured	pressured	ADJ
cana-5550	21	43	to	to	PART
cana-5550	21	44	address	address	VERB
cana-5550	21	45	numerous	numerous	ADJ
cana-5550	21	46	versions	version	NOUN
cana-5550	21	47	of	of	ADP
cana-5550	21	48	a	a	DET
cana-5550	21	49	single	single	ADJ
cana-5550	21	50	theme­.	theme­.	NOUN
cana-5550	21	51	consolidating	consolidate	VERB
cana-5550	21	52	related	related	ADJ
cana-5550	21	53	inquiries	inquiry	NOUN
cana-5550	21	54	might	might	AUX
cana-5550	21	55	help	help	VERB
cana-5550	21	56	both	both	DET
cana-5550	21	57	sides	side	NOUN
cana-5550	21	58	use	use	VERB
cana-5550	21	59	their	their	PRON
cana-5550	21	60	energy	energy	NOUN
cana-5550	21	61	where	where	SCONJ
cana-5550	21	62	it	it	PRON
cana-5550	21	63	counts.thus	counts.thu	NOUN
cana-5550	21	64	,	,	PUNCT
cana-5550	21	65	while	while	SCONJ
cana-5550	21	66	the	the	DET
cana-5550	21	67	questions	question	NOUN
cana-5550	21	68	are	be	AUX
cana-5550	21	69	asking	ask	VERB
cana-5550	21	70	the	the	DET
cana-5550	21	71	same	same	ADJ
cana-5550	21	72	thing	thing	NOUN
cana-5550	21	73	and	and	CCONJ
cana-5550	21	74	have	have	VERB
cana-5550	21	75	a	a	DET
cana-5550	21	76	similar	similar	ADJ
cana-5550	21	77	goal	goal	NOUN
cana-5550	21	78	,	,	PUNCT
cana-5550	21	79	they	they	PRON
cana-5550	21	80	are	be	AUX
cana-5550	21	81	posed	pose	VERB
cana-5550	21	82	in	in	ADP
cana-5550	21	83	different	different	ADJ
cana-5550	21	84	ways	way	NOUN
cana-5550	21	85	and	and	CCONJ
cana-5550	21	86	with	with	ADP
cana-5550	21	87	different	different	ADJ
cana-5550	21	88	wording	wording	NOUN
cana-5550	21	89	.	.	PUNCT
cana-5550	22	1	therefore	therefore	ADV
cana-5550	22	2	,	,	PUNCT
cana-5550	22	3	the	the	DET
cana-5550	22	4	queries	query	NOUN
cana-5550	22	5	can	can	AUX
cana-5550	22	6	be	be	AUX
cana-5550	22	7	merged	merge	VERB
cana-5550	22	8	.	.	PUNCT
cana-5550	23	1	it	it	PRON
cana-5550	23	2	has	have	VERB
cana-5550	23	3	the	the	DET
cana-5550	23	4	potential	potential	NOUN
cana-5550	23	5	to	to	PART
cana-5550	23	6	significantly	significantly	ADV
cana-5550	23	7	reduce	reduce	VERB
cana-5550	23	8	time	time	NOUN
cana-5550	23	9	while	while	SCONJ
cana-5550	23	10	enhancing	enhance	VERB
cana-5550	23	11	the	the	DET
cana-5550	23	12	client	client	NOUN
cana-5550	23	13	experience	experience	NOUN
cana-5550	23	14	.	.	PUNCT
cana-5550	24	1	other	other	ADJ
cana-5550	24	2	papers	paper	NOUN
cana-5550	24	3	have	have	AUX
cana-5550	24	4	also	also	ADV
cana-5550	24	5	defined	define	VERB
cana-5550	24	6	the	the	DET
cana-5550	24	7	problem	problem	NOUN
cana-5550	24	8	:	:	PUNCT
cana-5550	25	1	[	[	X
cana-5550	25	2	1	1	X
cana-5550	25	3	]	]	PUNCT
cana-5550	25	4	the	the	DET
cana-5550	25	5	primary	primary	ADJ
cana-5550	25	6	aim	aim	NOUN
cana-5550	25	7	of	of	ADP
cana-5550	25	8	this	this	DET
cana-5550	25	9	study	study	NOUN
cana-5550	25	10	is	be	AUX
cana-5550	25	11	to	to	PART
cana-5550	25	12	detect	detect	VERB
cana-5550	25	13	the	the	DET
cana-5550	25	14	most	most	ADV
cana-5550	25	15	effectual	effectual	ADJ
cana-5550	25	16	machine	machine	NOUN
cana-5550	25	17	learning	learning	NOUN
cana-5550	25	18	method	method	NOUN
cana-5550	25	19	for	for	ADP
cana-5550	25	20	eliminating	eliminate	VERB
cana-5550	25	21	duplicate	duplicate	ADJ
cana-5550	25	22	questions	question	NOUN
cana-5550	25	23	,	,	PUNCT
cana-5550	25	24	hence	hence	ADV
cana-5550	25	25	improving	improve	VERB
cana-5550	25	26	user	user	NOUN
cana-5550	25	27	satisfaction	satisfaction	NOUN
cana-5550	25	28	.	.	PUNCT
cana-5550	26	1	according	accord	VERB
cana-5550	26	2	to	to	ADP
cana-5550	26	3	a	a	DET
cana-5550	26	4	comprehensive	comprehensive	ADJ
cana-5550	26	5	assessment	assessment	NOUN
cana-5550	26	6	,	,	PUNCT
cana-5550	26	7	numerous	numerous	ADJ
cana-5550	26	8	machine	machine	NOUN
cana-5550	26	9	learning	learn	VERB
cana-5550	26	10	algorithms	algorithm	NOUN
cana-5550	26	11	exhibit	exhibit	VERB
cana-5550	26	12	a	a	DET
cana-5550	26	13	protracted	protracted	ADJ
cana-5550	26	14	training	training	NOUN
cana-5550	26	15	duration	duration	NOUN
cana-5550	26	16	when	when	SCONJ
cana-5550	26	17	applied	apply	VERB
cana-5550	26	18	to	to	ADP
cana-5550	26	19	real	real	ADJ
cana-5550	26	20	-	-	PUNCT
cana-5550	26	21	time	time	NOUN
cana-5550	26	22	datasets	dataset	NOUN
cana-5550	26	23	.	.	PUNCT
cana-5550	27	1	a	a	DET
cana-5550	27	2	variety	variety	NOUN
cana-5550	27	3	of	of	ADP
cana-5550	27	4	features	feature	NOUN
cana-5550	27	5	from	from	ADP
cana-5550	27	6	questions	question	NOUN
cana-5550	27	7	1	1	NUM
cana-5550	27	8	and	and	CCONJ
cana-5550	27	9	2	2	NUM
cana-5550	27	10	are	be	AUX
cana-5550	27	11	analyzed	analyze	VERB
cana-5550	27	12	to	to	PART
cana-5550	27	13	assess	assess	VERB
cana-5550	27	14	feature	feature	NOUN
cana-5550	27	15	extraction	extraction	NOUN
cana-5550	27	16	for	for	ADP
cana-5550	27	17	comparable	comparable	ADJ
cana-5550	27	18	question	question	NOUN
cana-5550	27	19	pairs	pair	NOUN
cana-5550	27	20	in	in	ADP
cana-5550	27	21	the	the	DET
cana-5550	27	22	quora	quora	NOUN
cana-5550	27	23	dataset	dataset	VERB
cana-5550	27	24	.	.	PUNCT
cana-5550	28	1	these	these	DET
cana-5550	28	2	characteristics	characteristic	NOUN
cana-5550	28	3	include	include	VERB
cana-5550	28	4	word	word	NOUN
cana-5550	28	5	count	count	NOUN
cana-5550	28	6	,	,	PUNCT
cana-5550	28	7	word	word	NOUN
cana-5550	28	8	length	length	NOUN
cana-5550	28	9	,	,	PUNCT
cana-5550	28	10	word	word	NOUN
cana-5550	28	11	count	count	VERB
cana-5550	28	12	common	common	ADJ
cana-5550	28	13	words	word	NOUN
cana-5550	28	14	,	,	PUNCT
cana-5550	28	15	word	word	NOUN
cana-5550	28	16	count	count	NOUN
cana-5550	28	17	overall	overall	ADV
cana-5550	28	18	,	,	PUNCT
cana-5550	28	19	word	word	NOUN
cana-5550	28	20	sum	sum	NOUN
cana-5550	28	21	,	,	PUNCT
cana-5550	28	22	word	word	NOUN
cana-5550	28	23	absolute	absolute	ADJ
cana-5550	28	24	difference	difference	NOUN
cana-5550	28	25	,	,	PUNCT
cana-5550	28	26	and	and	CCONJ
cana-5550	28	27	more	more	ADJ
cana-5550	28	28	.	.	PUNCT
cana-5550	29	1	the	the	DET
cana-5550	29	2	error	error	NOUN
cana-5550	29	3	log	log	NOUN
cana-5550	29	4	loss	loss	NOUN
cana-5550	29	5	function	function	NOUN
cana-5550	29	6	is	be	AUX
cana-5550	29	7	used	use	VERB
cana-5550	29	8	to	to	PART
cana-5550	29	9	evaluate	evaluate	VERB
cana-5550	29	10	the	the	DET
cana-5550	29	11	effectiveness	effectiveness	NOUN
cana-5550	29	12	of	of	ADP
cana-5550	29	13	machine	machine	NOUN
cana-5550	29	14	learning	learn	VERB
cana-5550	29	15	techniques	technique	NOUN
cana-5550	29	16	.	.	PUNCT
cana-5550	30	1	[	[	X
cana-5550	30	2	2	2	X
cana-5550	30	3	]	]	X
cana-5550	30	4	online	online	ADJ
cana-5550	30	5	forums	forum	NOUN
cana-5550	30	6	that	that	PRON
cana-5550	30	7	facilitate	facilitate	VERB
cana-5550	30	8	the	the	DET
cana-5550	30	9	exchange	exchange	NOUN
cana-5550	30	10	of	of	ADP
cana-5550	30	11	questions	question	NOUN
cana-5550	30	12	have	have	AUX
cana-5550	30	13	gained	gain	VERB
cana-5550	30	14	significant	significant	ADJ
cana-5550	30	15	popularity	popularity	NOUN
cana-5550	30	16	in	in	ADP
cana-5550	30	17	recent	recent	ADJ
cana-5550	30	18	times	time	NOUN
cana-5550	30	19	.	.	PUNCT
cana-5550	31	1	consequently	consequently	ADV
cana-5550	31	2	,	,	PUNCT
cana-5550	31	3	these	these	DET
cana-5550	31	4	services	service	NOUN
cana-5550	31	5	have	have	AUX
cana-5550	31	6	developed	develop	VERB
cana-5550	31	7	a	a	DET
cana-5550	31	8	substantial	substantial	ADJ
cana-5550	31	9	collection	collection	NOUN
cana-5550	31	10	of	of	ADP
cana-5550	31	11	questions	question	NOUN
cana-5550	31	12	and	and	CCONJ
cana-5550	31	13	answers	answer	NOUN
cana-5550	31	14	generated	generate	VERB
cana-5550	31	15	by	by	ADP
cana-5550	31	16	individuals	individual	NOUN
cana-5550	31	17	.	.	PUNCT
cana-5550	32	1	there	there	PRON
cana-5550	32	2	is	be	VERB
cana-5550	32	3	a	a	DET
cana-5550	32	4	significant	significant	ADJ
cana-5550	32	5	amount	amount	NOUN
cana-5550	32	6	of	of	ADP
cana-5550	32	7	ongoing	ongoing	ADJ
cana-5550	32	8	research	research	NOUN
cana-5550	32	9	focused	focus	VERB
cana-5550	32	10	on	on	ADP
cana-5550	32	11	the	the	DET
cana-5550	32	12	treatment	treatment	NOUN
cana-5550	32	13	of	of	ADP
cana-5550	32	14	"	"	PUNCT
cana-5550	32	15	user	user	NOUN
cana-5550	32	16	generated	generate	VERB
cana-5550	32	17	content	content	NOUN
cana-5550	32	18	"	"	PUNCT
cana-5550	32	19	in	in	ADP
cana-5550	32	20	a	a	DET
cana-5550	32	21	manner	manner	NOUN
cana-5550	32	22	distinct	distinct	ADJ
cana-5550	32	23	from	from	ADP
cana-5550	32	24	the	the	DET
cana-5550	32	25	conventional	conventional	ADJ
cana-5550	32	26	approach	approach	NOUN
cana-5550	32	27	employed	employ	VERB
cana-5550	32	28	for	for	ADP
cana-5550	32	29	most	most	ADJ
cana-5550	32	30	web	web	NOUN
cana-5550	32	31	publications	publication	NOUN
cana-5550	32	32	.	.	PUNCT
cana-5550	33	1	the	the	DET
cana-5550	33	2	proliferation	proliferation	NOUN
cana-5550	33	3	of	of	ADP
cana-5550	33	4	user	user	NOUN
cana-5550	33	5	-	-	PUNCT
cana-5550	33	6	generated	generate	VERB
cana-5550	33	7	content	content	NOUN
cana-5550	33	8	on	on	ADP
cana-5550	33	9	the	the	DET
cana-5550	33	10	internet	internet	NOUN
cana-5550	33	11	gives	give	VERB
cana-5550	33	12	rise	rise	VERB
cana-5550	33	13	to	to	ADP
cana-5550	33	14	a	a	DET
cana-5550	33	15	distinct	distinct	ADJ
cana-5550	33	16	array	array	NOUN
cana-5550	33	17	of	of	ADP
cana-5550	33	18	challenges	challenge	NOUN
cana-5550	33	19	pertaining	pertain	VERB
cana-5550	33	20	to	to	PART
cana-5550	33	21	search	search	VERB
cana-5550	33	22	functionality	functionality	NOUN
cana-5550	33	23	,	,	PUNCT
cana-5550	33	24	browsing	browse	VERB
cana-5550	33	25	,	,	PUNCT
cana-5550	33	26	and	and	CCONJ
cana-5550	33	27	display	display	NOUN
cana-5550	33	28	.	.	PUNCT
cana-5550	34	1	a	a	DET
cana-5550	34	2	variety	variety	NOUN
cana-5550	34	3	of	of	ADP
cana-5550	34	4	models	model	NOUN
cana-5550	34	5	are	be	AUX
cana-5550	34	6	currently	currently	ADV
cana-5550	34	7	being	be	AUX
cana-5550	34	8	developed	develop	VERB
cana-5550	34	9	to	to	PART
cana-5550	34	10	handle	handle	VERB
cana-5550	34	11	querying	query	VERB
cana-5550	34	12	,	,	PUNCT
cana-5550	34	13	ranking	rank	VERB
cana-5550	34	14	of	of	ADP
cana-5550	34	15	results	result	NOUN
cana-5550	34	16	,	,	PUNCT
cana-5550	34	17	grouping	grouping	NOUN
cana-5550	34	18	,	,	PUNCT
cana-5550	34	19	and	and	CCONJ
cana-5550	34	20	categorization	categorization	NOUN
cana-5550	34	21	in	in	ADP
cana-5550	34	22	the	the	DET
cana-5550	34	23	context	context	NOUN
cana-5550	34	24	of	of	ADP
cana-5550	34	25	q&a	q&a	PROPN
cana-5550	34	26	data	datum	NOUN
cana-5550	34	27	.	.	PUNCT
cana-5550	35	1	given	give	VERB
cana-5550	35	2	the	the	DET
cana-5550	35	3	nature	nature	NOUN
cana-5550	35	4	of	of	ADP
cana-5550	35	5	user	user	NOUN
cana-5550	35	6	-	-	PUNCT
cana-5550	35	7	generated	generate	VERB
cana-5550	35	8	information	information	NOUN
cana-5550	35	9	being	be	AUX
cana-5550	35	10	expressed	express	VERB
cana-5550	35	11	in	in	ADP
cana-5550	35	12	natural	natural	ADJ
cana-5550	35	13	language	language	NOUN
cana-5550	35	14	,	,	PUNCT
cana-5550	35	15	it	it	PRON
cana-5550	35	16	is	be	AUX
cana-5550	35	17	evident	evident	ADJ
cana-5550	35	18	that	that	SCONJ
cana-5550	35	19	various	various	ADJ
cana-5550	35	20	natural	natural	ADJ
cana-5550	35	21	language	language	NOUN
cana-5550	35	22	processing	processing	NOUN
cana-5550	35	23	(	(	PUNCT
cana-5550	35	24	nlp	nlp	NOUN
cana-5550	35	25	)	)	PUNCT
cana-5550	35	26	techniques	technique	NOUN
cana-5550	35	27	would	would	AUX
cana-5550	35	28	be	be	AUX
cana-5550	35	29	advantageous	advantageous	ADJ
cana-5550	35	30	in	in	ADP
cana-5550	35	31	addressing	address	VERB
cana-5550	35	32	these	these	DET
cana-5550	35	33	challenges	challenge	NOUN
cana-5550	35	34	.	.	PUNCT
cana-5550	36	1	one	one	NUM
cana-5550	36	2	of	of	ADP
cana-5550	36	3	the	the	DET
cana-5550	36	4	desired	desire	VERB
cana-5550	36	5	features	feature	NOUN
cana-5550	36	6	that	that	SCONJ
cana-5550	36	7	many	many	ADJ
cana-5550	36	8	services	service	NOUN
cana-5550	36	9	want	want	VERB
cana-5550	36	10	to	to	PART
cana-5550	36	11	provide	provide	VERB
cana-5550	36	12	is	be	AUX
cana-5550	36	13	the	the	DET
cana-5550	36	14	ability	ability	NOUN
cana-5550	36	15	to	to	PART
cana-5550	36	16	present	present	VERB
cana-5550	36	17	similar	similar	ADJ
cana-5550	36	18	and	and	CCONJ
cana-5550	36	19	related	related	ADJ
cana-5550	36	20	questions	question	NOUN
cana-5550	36	21	in	in	ADP
cana-5550	36	22	response	response	NOUN
cana-5550	36	23	to	to	ADP
cana-5550	36	24	a	a	DET
cana-5550	36	25	certain	certain	ADJ
cana-5550	36	26	"	"	PUNCT
cana-5550	36	27	query	query	NOUN
cana-5550	36	28	"	"	PUNCT
cana-5550	36	29	inquiry	inquiry	NOUN
cana-5550	36	30	.	.	PUNCT
cana-5550	37	1	[	[	X
cana-5550	37	2	3	3	NUM
cana-5550	37	3	]	]	X
cana-5550	37	4	user	user	NOUN
cana-5550	37	5	submits	submit	VERB
cana-5550	37	6	inquiries	inquiry	NOUN
cana-5550	37	7	on.com	on.com	PROPN
cana-5550	37	8	websites	website	NOUN
cana-5550	37	9	.	.	PUNCT
cana-5550	38	1	there	there	PRON
cana-5550	38	2	is	be	VERB
cana-5550	38	3	a	a	DET
cana-5550	38	4	recurring	recur	VERB
cana-5550	38	5	situation	situation	NOUN
cana-5550	38	6	in	in	ADP
cana-5550	38	7	which	which	PRON
cana-5550	38	8	questions	question	NOUN
cana-5550	38	9	are	be	AUX
cana-5550	38	10	repeated	repeat	VERB
cana-5550	38	11	,	,	PUNCT
cana-5550	38	12	but	but	CCONJ
cana-5550	38	13	there	there	PRON
cana-5550	38	14	is	be	VERB
cana-5550	38	15	also	also	ADV
cana-5550	38	16	a	a	DET
cana-5550	38	17	lexical	lexical	ADJ
cana-5550	38	18	gap	gap	NOUN
cana-5550	38	19	in	in	ADP
cana-5550	38	20	the	the	DET
cana-5550	38	21	questions	question	NOUN
cana-5550	38	22	.	.	PUNCT
cana-5550	39	1	this	this	DET
cana-5550	39	2	issue	issue	NOUN
cana-5550	39	3	is	be	AUX
cana-5550	39	4	handled	handle	VERB
cana-5550	39	5	in	in	ADP
cana-5550	39	6	the	the	DET
cana-5550	39	7	articles	article	NOUN
cana-5550	39	8	through	through	ADP
cana-5550	39	9	the	the	DET
cana-5550	39	10	utilization	utilization	NOUN
cana-5550	39	11	of	of	ADP
cana-5550	39	12	a	a	DET
cana-5550	39	13	translation	translation	NOUN
cana-5550	39	14	-	-	PUNCT
cana-5550	39	15	based	base	VERB
cana-5550	39	16	language	language	NOUN
cana-5550	39	17	model	model	NOUN
cana-5550	39	18	(	(	PUNCT
cana-5550	39	19	trlm	trlm	PROPN
cana-5550	39	20	)	)	PUNCT
cana-5550	39	21	.	.	PUNCT
cana-5550	40	1	subsequently	subsequently	ADV
cana-5550	40	2	,	,	PUNCT
cana-5550	40	3	ascertain	ascertain	VERB
cana-5550	40	4	the	the	DET
cana-5550	40	5	effective	effective	ADJ
cana-5550	40	6	features	feature	NOUN
cana-5550	40	7	and	and	CCONJ
cana-5550	40	8	methodologies	methodology	NOUN
cana-5550	40	9	for	for	ADP
cana-5550	40	10	assessing	assess	VERB
cana-5550	40	11	the	the	DET
cana-5550	40	12	correlation	correlation	NOUN
cana-5550	40	13	between	between	ADP
cana-5550	40	14	two	two	NUM
cana-5550	40	15	inquiries	inquiry	NOUN
cana-5550	40	16	.	.	PUNCT
cana-5550	41	1	[	[	X
cana-5550	41	2	4	4	X
cana-5550	41	3	]	]	PUNCT
cana-5550	41	4	it	it	PRON
cana-5550	41	5	has	have	AUX
cana-5550	41	6	been	be	AUX
cana-5550	41	7	asserted	assert	VERB
cana-5550	41	8	that	that	SCONJ
cana-5550	41	9	employing	employ	VERB
cana-5550	41	10	non	non	ADJ
cana-5550	41	11	-	-	ADJ
cana-5550	41	12	linear	linear	ADJ
cana-5550	41	13	classifiers	classifier	NOUN
cana-5550	41	14	on	on	ADP
cana-5550	41	15	the	the	DET
cana-5550	41	16	quora	quora	NOUN
cana-5550	41	17	question	question	NOUN
cana-5550	41	18	pairs	pair	NOUN
cana-5550	41	19	categorization	categorization	NOUN
cana-5550	41	20	problem	problem	NOUN
cana-5550	41	21	with	with	ADP
cana-5550	41	22	bert	bert	PROPN
cana-5550	41	23	has	have	AUX
cana-5550	41	24	yielded	yield	VERB
cana-5550	41	25	state	state	NOUN
cana-5550	41	26	-	-	PUNCT
cana-5550	41	27	of	of	ADP
cana-5550	41	28	-	-	PUNCT
cana-5550	41	29	the	the	DET
cana-5550	41	30	-	-	PUNCT
cana-5550	41	31	art	art	NOUN
cana-5550	41	32	outcomes	outcome	NOUN
cana-5550	41	33	,	,	PUNCT
cana-5550	41	34	albeit	albeit	SCONJ
cana-5550	41	35	at	at	ADP
cana-5550	41	36	the	the	DET
cana-5550	41	37	expense	expense	NOUN
cana-5550	41	38	of	of	ADP
cana-5550	41	39	a	a	DET
cana-5550	41	40	lengthy	lengthy	ADJ
cana-5550	41	41	training	training	NOUN
cana-5550	41	42	process	process	NOUN
cana-5550	41	43	.	.	PUNCT
cana-5550	42	1	according	accord	VERB
cana-5550	42	2	to	to	ADP
cana-5550	42	3	the	the	DET
cana-5550	42	4	study	study	NOUN
cana-5550	42	5	,	,	PUNCT
cana-5550	42	6	expertly	expertly	ADV
cana-5550	42	7	designed	design	VERB
cana-5550	42	8	linear	linear	PROPN
cana-5550	42	9	classifiers	classifier	NOUN
cana-5550	42	10	are	be	AUX
cana-5550	42	11	trained	train	VERB
cana-5550	42	12	in	in	ADP
cana-5550	42	13	approximately	approximately	ADV
cana-5550	42	14	3	3	NUM
cana-5550	42	15	seconds	second	NOUN
cana-5550	42	16	,	,	PUNCT
cana-5550	42	17	resulting	result	VERB
cana-5550	42	18	in	in	ADP
cana-5550	42	19	a	a	DET
cana-5550	42	20	3	3	NUM
cana-5550	42	21	%	%	NOUN
cana-5550	42	22	decrease	decrease	NOUN
cana-5550	42	23	in	in	ADP
cana-5550	42	24	accuracy	accuracy	NOUN
cana-5550	42	25	.	.	PUNCT
cana-5550	43	1	additionally	additionally	ADV
cana-5550	43	2	,	,	PUNCT
cana-5550	43	3	the	the	DET
cana-5550	43	4	study	study	NOUN
cana-5550	43	5	presents	present	VERB
cana-5550	43	6	a	a	DET
cana-5550	43	7	new	new	ADJ
cana-5550	43	8	non	non	ADJ
cana-5550	43	9	-	-	ADJ
cana-5550	43	10	linear	linear	ADJ
cana-5550	43	11	classifier	classifier	NOUN
cana-5550	43	12	that	that	PRON
cana-5550	43	13	utilizes	utilize	VERB
cana-5550	43	14	a	a	DET
cana-5550	43	15	deep	deep	ADJ
cana-5550	43	16	relevance	relevance	NOUN
cana-5550	43	17	matching	matching	NOUN
cana-5550	43	18	model	model	NOUN
cana-5550	43	19	(	(	PUNCT
cana-5550	43	20	drmm	drmm	NOUN
cana-5550	43	21	)	)	PUNCT
cana-5550	43	22	.	.	PUNCT
cana-5550	44	1	the	the	DET
cana-5550	44	2	study	study	NOUN
cana-5550	44	3	also	also	ADV
cana-5550	44	4	demonstrates	demonstrate	VERB
cana-5550	44	5	that	that	SCONJ
cana-5550	44	6	language	language	NOUN
cana-5550	44	7	techniques	technique	NOUN
cana-5550	44	8	with	with	ADP
cana-5550	44	9	exceptionally	exceptionally	ADV
cana-5550	44	10	intricate	intricate	ADJ
cana-5550	44	11	structures	structure	NOUN
cana-5550	44	12	and	and	CCONJ
cana-5550	44	13	large	large	ADJ
cana-5550	44	14	dimensions	dimension	NOUN
cana-5550	44	15	do	do	AUX
cana-5550	44	16	not	not	PART
cana-5550	44	17	result	result	VERB
cana-5550	44	18	in	in	ADP
cana-5550	44	19	improvements	improvement	NOUN
cana-5550	44	20	in	in	ADP
cana-5550	44	21	the	the	DET
cana-5550	44	22	classification	classification	NOUN
cana-5550	44	23	job	job	NOUN
cana-5550	44	24	if	if	SCONJ
cana-5550	44	25	the	the	DET
cana-5550	44	26	classifiers	classifier	NOUN
cana-5550	44	27	themselves	themselves	PRON
cana-5550	44	28	lack	lack	VERB
cana-5550	44	29	the	the	DET
cana-5550	44	30	necessary	necessary	ADJ
cana-5550	44	31	complexity	complexity	NOUN
cana-5550	44	32	to	to	PART
cana-5550	44	33	accurately	accurately	ADV
cana-5550	44	34	comprehend	comprehend	VERB
cana-5550	44	35	the	the	DET
cana-5550	44	36	new	new	ADJ
cana-5550	44	37	features	feature	NOUN
cana-5550	44	38	.	.	PUNCT
cana-5550	45	1	[	[	X
cana-5550	45	2	5	5	X
cana-5550	45	3	]	]	PUNCT
cana-5550	45	4	the	the	DET
cana-5550	45	5	vast	vast	ADJ
cana-5550	45	6	user	user	NOUN
cana-5550	45	7	base	base	NOUN
cana-5550	45	8	of	of	ADP
cana-5550	45	9	the	the	DET
cana-5550	45	10	question	question	NOUN
cana-5550	45	11	answering	answer	VERB
cana-5550	45	12	platform	platform	NOUN
cana-5550	45	13	quora	quora	NOUN
cana-5550	45	14	enhances	enhance	VERB
cana-5550	45	15	the	the	DET
cana-5550	45	16	likelihood	likelihood	NOUN
cana-5550	45	17	of	of	ADP
cana-5550	45	18	queries	query	NOUN
cana-5550	45	19	being	be	AUX
cana-5550	45	20	posed	pose	VERB
cana-5550	45	21	with	with	ADP
cana-5550	45	22	a	a	DET
cana-5550	45	23	similar	similar	ADJ
cana-5550	45	24	intention	intention	NOUN
cana-5550	45	25	.	.	PUNCT
cana-5550	46	1	the	the	DET
cana-5550	46	2	structure	structure	NOUN
cana-5550	46	3	of	of	ADP
cana-5550	46	4	a	a	DET
cana-5550	46	5	single	single	ADJ
cana-5550	46	6	question	question	NOUN
cana-5550	46	7	can	can	AUX
cana-5550	46	8	vary	vary	VERB
cana-5550	46	9	between	between	ADP
cana-5550	46	10	two	two	NUM
cana-5550	46	11	users	user	NOUN
cana-5550	46	12	,	,	PUNCT
cana-5550	46	13	and	and	CCONJ
cana-5550	46	14	the	the	DET
cana-5550	46	15	repeated	repeat	VERB
cana-5550	46	16	response	response	NOUN
cana-5550	46	17	of	of	ADP
cana-5550	46	18	similar	similar	ADJ
cana-5550	46	19	questions	question	NOUN
cana-5550	46	20	has	have	VERB
cana-5550	46	21	a	a	DET
cana-5550	46	22	significant	significant	ADJ
cana-5550	46	23	impact	impact	NOUN
cana-5550	46	24	on	on	ADP
cana-5550	46	25	the	the	DET
cana-5550	46	26	user	user	NOUN
cana-5550	46	27	experience	experience	NOUN
cana-5550	46	28	.	.	PUNCT
cana-5550	47	1	due	due	ADP
cana-5550	47	2	to	to	ADP
cana-5550	47	3	the	the	DET
cana-5550	47	4	time	time	NOUN
cana-5550	47	5	-	-	PUNCT
cana-5550	47	6	consuming	consume	VERB
cana-5550	47	7	nature	nature	NOUN
cana-5550	47	8	of	of	ADP
cana-5550	47	9	manually	manually	ADV
cana-5550	47	10	filtering	filter	VERB
cana-5550	47	11	these	these	DET
cana-5550	47	12	kinds	kind	NOUN
cana-5550	47	13	of	of	ADP
cana-5550	47	14	questions	question	NOUN
cana-5550	47	15	,	,	PUNCT
cana-5550	47	16	quora	quora	PROPN
cana-5550	47	17	uses	use	VERB
cana-5550	47	18	the	the	DET
cana-5550	47	19	random	random	ADJ
cana-5550	47	20	forest	forest	NOUN
cana-5550	47	21	model	model	NOUN
cana-5550	47	22	to	to	PART
cana-5550	47	23	find	find	VERB
cana-5550	47	24	and	and	CCONJ
cana-5550	47	25	remove	remove	VERB
cana-5550	47	26	duplicate	duplicate	ADJ
cana-5550	47	27	questions	question	NOUN
cana-5550	47	28	.	.	PUNCT
cana-5550	48	1	however	however	ADV
cana-5550	48	2	,	,	PUNCT
cana-5550	48	3	it	it	PRON
cana-5550	48	4	should	should	AUX
cana-5550	48	5	be	be	AUX
cana-5550	48	6	noted	note	VERB
cana-5550	48	7	that	that	SCONJ
cana-5550	48	8	this	this	DET
cana-5550	48	9	approach	approach	NOUN
cana-5550	48	10	does	do	AUX
cana-5550	48	11	not	not	PART
cana-5550	48	12	yield	yield	VERB
cana-5550	48	13	optimal	optimal	ADJ
cana-5550	48	14	results	result	NOUN
cana-5550	48	15	.	.	PUNCT
cana-5550	49	1	[	[	X
cana-5550	49	2	6	6	NUM
cana-5550	49	3	]	]	PUNCT
cana-5550	49	4	this	this	DET
cana-5550	49	5	paper	paper	NOUN
cana-5550	49	6	presents	present	VERB
cana-5550	49	7	the	the	DET
cana-5550	49	8	findings	finding	NOUN
cana-5550	49	9	communications	communication	NOUN
cana-5550	49	10	on	on	ADP
cana-5550	49	11	applied	apply	VERB
cana-5550	49	12	nonlinear	nonlinear	ADJ
cana-5550	49	13	analysis	analysis	NOUN
cana-5550	49	14	issn	issn	NOUN
cana-5550	49	15	:	:	PUNCT
cana-5550	49	16	1074	1074	NUM
cana-5550	49	17	-	-	PUNCT
cana-5550	49	18	133x	133x	NUM
cana-5550	49	19	vol	vol	NOUN
cana-5550	49	20	32	32	NUM
cana-5550	49	21	no	no	NOUN
cana-5550	49	22	.	.	NOUN
cana-5550	49	23	3	3	NUM
cana-5550	49	24	(	(	PUNCT
cana-5550	49	25	2025	2025	NUM
cana-5550	49	26	)	)	PUNCT
cana-5550	49	27	997	997	NUM
cana-5550	49	28	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	49	29	of	of	ADP
cana-5550	49	30	a	a	DET
cana-5550	49	31	systematic	systematic	ADJ
cana-5550	49	32	and	and	CCONJ
cana-5550	49	33	comparative	comparative	ADJ
cana-5550	49	34	experimentation	experimentation	NOUN
cana-5550	49	35	involving	involve	VERB
cana-5550	49	36	various	various	ADJ
cana-5550	49	37	methodologies	methodology	NOUN
cana-5550	49	38	for	for	ADP
cana-5550	49	39	automatically	automatically	ADV
cana-5550	49	40	detecting	detect	VERB
cana-5550	49	41	duplicate	duplicate	ADJ
cana-5550	49	42	questions	question	NOUN
cana-5550	49	43	.	.	PUNCT
cana-5550	50	1	the	the	DET
cana-5550	50	2	experimentation	experimentation	NOUN
cana-5550	50	3	was	be	AUX
cana-5550	50	4	conducted	conduct	VERB
cana-5550	50	5	on	on	ADP
cana-5550	50	6	datasets	dataset	NOUN
cana-5550	50	7	of	of	ADP
cana-5550	50	8	increasing	increase	VERB
cana-5550	50	9	sizes	size	NOUN
cana-5550	50	10	,	,	PUNCT
cana-5550	50	11	enabling	enable	VERB
cana-5550	50	12	the	the	DET
cana-5550	50	13	examination	examination	NOUN
cana-5550	50	14	of	of	ADP
cana-5550	50	15	learning	learn	VERB
cana-5550	50	16	profiles	profile	NOUN
cana-5550	50	17	for	for	ADP
cana-5550	50	18	the	the	DET
cana-5550	50	19	task	task	NOUN
cana-5550	50	20	under	under	ADP
cana-5550	50	21	different	different	ADJ
cana-5550	50	22	approaches	approach	NOUN
cana-5550	50	23	and	and	CCONJ
cana-5550	50	24	the	the	DET
cana-5550	50	25	evaluation	evaluation	NOUN
cana-5550	50	26	of	of	ADP
cana-5550	50	27	their	their	PRON
cana-5550	50	28	respective	respective	ADJ
cana-5550	50	29	merits	merit	NOUN
cana-5550	50	30	.	.	PUNCT
cana-5550	51	1	[	[	X
cana-5550	51	2	7	7	X
cana-5550	51	3	]	]	PUNCT
cana-5550	51	4	the	the	DET
cana-5550	51	5	authors	author	NOUN
cana-5550	51	6	of	of	ADP
cana-5550	51	7	the	the	DET
cana-5550	51	8	paper	paper	NOUN
cana-5550	51	9	present	present	VERB
cana-5550	51	10	a	a	DET
cana-5550	51	11	technique	technique	NOUN
cana-5550	51	12	to	to	PART
cana-5550	51	13	tackle	tackle	VERB
cana-5550	51	14	the	the	DET
cana-5550	51	15	issue	issue	NOUN
cana-5550	51	16	of	of	ADP
cana-5550	51	17	question	question	NOUN
cana-5550	51	18	classification	classification	NOUN
cana-5550	51	19	.	.	PUNCT
cana-5550	52	1	this	this	PRON
cana-5550	52	2	involves	involve	VERB
cana-5550	52	3	obtaining	obtain	VERB
cana-5550	52	4	comparable	comparable	ADJ
cana-5550	52	5	questions	question	NOUN
cana-5550	52	6	that	that	PRON
cana-5550	52	7	have	have	AUX
cana-5550	52	8	been	be	AUX
cana-5550	52	9	submitted	submit	VERB
cana-5550	52	10	in	in	ADP
cana-5550	52	11	the	the	DET
cana-5550	52	12	same	same	ADJ
cana-5550	52	13	forum	forum	NOUN
cana-5550	52	14	and	and	CCONJ
cana-5550	52	15	utilizing	utilize	VERB
cana-5550	52	16	the	the	DET
cana-5550	52	17	text	text	NOUN
cana-5550	52	18	from	from	ADP
cana-5550	52	19	those	those	DET
cana-5550	52	20	questions	question	NOUN
cana-5550	52	21	to	to	PART
cana-5550	52	22	predict	predict	VERB
cana-5550	52	23	the	the	DET
cana-5550	52	24	current	current	ADJ
cana-5550	52	25	question	question	NOUN
cana-5550	52	26	quality	quality	NOUN
cana-5550	52	27	.	.	PUNCT
cana-5550	53	1	the	the	DET
cana-5550	53	2	article	article	NOUN
cana-5550	53	3	provides	provide	VERB
cana-5550	53	4	empirical	empirical	ADJ
cana-5550	53	5	validation	validation	NOUN
cana-5550	53	6	for	for	ADP
cana-5550	53	7	the	the	DET
cana-5550	53	8	suggested	suggest	VERB
cana-5550	53	9	approach	approach	NOUN
cana-5550	53	10	using	use	VERB
cana-5550	53	11	the	the	DET
cana-5550	53	12	stack	stack	NOUN
cana-5550	53	13	overflow	overflow	NOUN
cana-5550	53	14	dataset	dataset	NOUN
cana-5550	53	15	,	,	PUNCT
cana-5550	53	16	which	which	PRON
cana-5550	53	17	is	be	AUX
cana-5550	53	18	a	a	DET
cana-5550	53	19	large	large	ADJ
cana-5550	53	20	cqa	cqa	NOUN
cana-5550	53	21	forum	forum	NOUN
cana-5550	53	22	for	for	ADP
cana-5550	53	23	programmers	programmer	NOUN
cana-5550	53	24	consisting	consist	VERB
cana-5550	53	25	of	of	ADP
cana-5550	53	26	over	over	ADP
cana-5550	53	27	8	8	NUM
cana-5550	53	28	million	million	NUM
cana-5550	53	29	queries	query	NOUN
cana-5550	53	30	.	.	PUNCT
cana-5550	54	1	the	the	DET
cana-5550	54	2	authors	author	NOUN
cana-5550	54	3	estimate	estimate	VERB
cana-5550	54	4	by	by	ADP
cana-5550	54	5	adding	add	VERB
cana-5550	54	6	more	more	ADJ
cana-5550	54	7	text	text	NOUN
cana-5550	54	8	from	from	ADP
cana-5550	54	9	related	related	ADJ
cana-5550	54	10	questions	question	NOUN
cana-5550	54	11	,	,	PUNCT
cana-5550	54	12	the	the	DET
cana-5550	54	13	recall	recall	NOUN
cana-5550	54	14	of	of	ADP
cana-5550	54	15	low	low	ADJ
cana-5550	54	16	-	-	PUNCT
cana-5550	54	17	scoring	scoring	NOUN
cana-5550	54	18	questions	question	NOUN
cana-5550	54	19	can	can	AUX
cana-5550	54	20	be	be	AUX
cana-5550	54	21	increased	increase	VERB
cana-5550	54	22	by	by	ADP
cana-5550	54	23	around	around	ADV
cana-5550	54	24	4.2	4.2	NUM
cana-5550	54	25	%	%	NOUN
cana-5550	54	26	,	,	PUNCT
cana-5550	54	27	and	and	CCONJ
cana-5550	54	28	the	the	DET
cana-5550	54	29	accuracy	accuracy	NOUN
cana-5550	54	30	of	of	ADP
cana-5550	54	31	question	question	NOUN
cana-5550	54	32	quality	quality	NOUN
cana-5550	54	33	prediction	prediction	NOUN
cana-5550	54	34	can	can	AUX
cana-5550	54	35	be	be	AUX
cana-5550	54	36	increased	increase	VERB
cana-5550	54	37	by	by	ADP
cana-5550	54	38	approximately	approximately	ADV
cana-5550	54	39	2.8	2.8	NUM
cana-5550	54	40	%	%	NOUN
cana-5550	54	41	.	.	PUNCT
cana-5550	55	1	a	a	DET
cana-5550	55	2	4.2	4.2	NUM
cana-5550	55	3	%	%	NOUN
cana-5550	55	4	increase	increase	NOUN
cana-5550	55	5	in	in	ADP
cana-5550	55	6	recall	recall	NOUN
cana-5550	55	7	is	be	AUX
cana-5550	55	8	in	in	ADP
cana-5550	55	9	automatically	automatically	ADV
cana-5550	55	10	classifying	classify	VERB
cana-5550	55	11	questions	question	NOUN
cana-5550	55	12	as	as	ADP
cana-5550	55	13	unsuitable	unsuitable	ADJ
cana-5550	55	14	for	for	ADP
cana-5550	55	15	the	the	DET
cana-5550	55	16	forum	forum	NOUN
cana-5550	55	17	and	and	CCONJ
cana-5550	55	18	accelerating	accelerate	VERB
cana-5550	55	19	the	the	DET
cana-5550	55	20	moderation	moderation	NOUN
cana-5550	55	21	process	process	NOUN
cana-5550	55	22	,	,	PUNCT
cana-5550	55	23	which	which	PRON
cana-5550	55	24	saves	save	VERB
cana-5550	55	25	time	time	NOUN
cana-5550	55	26	and	and	CCONJ
cana-5550	55	27	human	human	ADJ
cana-5550	55	28	labor	labor	NOUN
cana-5550	55	29	[	[	X
cana-5550	55	30	8	8	NUM
cana-5550	55	31	]	]	PUNCT
cana-5550	55	32	:	:	PUNCT
cana-5550	55	33	the	the	DET
cana-5550	55	34	detection	detection	NOUN
cana-5550	55	35	of	of	ADP
cana-5550	55	36	duplicate	duplicate	ADJ
cana-5550	55	37	questions	question	NOUN
cana-5550	55	38	in	in	ADP
cana-5550	55	39	forums	forum	NOUN
cana-5550	55	40	using	use	VERB
cana-5550	55	41	domain	domain	NOUN
cana-5550	55	42	adaptive	adaptive	ADJ
cana-5550	55	43	semantic	semantic	ADJ
cana-5550	55	44	matching	matching	NOUN
cana-5550	55	45	.	.	PUNCT
cana-5550	56	1	[	[	X
cana-5550	56	2	9	9	NUM
cana-5550	56	3	]	]	PUNCT
cana-5550	56	4	:	:	PUNCT
cana-5550	56	5	the	the	DET
cana-5550	56	6	comprehension	comprehension	NOUN
cana-5550	56	7	and	and	CCONJ
cana-5550	56	8	synthesis	synthesis	NOUN
cana-5550	56	9	of	of	ADP
cana-5550	56	10	responses	response	NOUN
cana-5550	56	11	inside	inside	ADP
cana-5550	56	12	community	community	NOUN
cana-5550	56	13	-	-	PUNCT
cana-5550	56	14	based	base	VERB
cana-5550	56	15	question	question	NOUN
cana-5550	56	16	answering	answering	NOUN
cana-5550	56	17	systems	system	NOUN
cana-5550	56	18	.	.	PUNCT
cana-5550	57	1	:	:	PUNCT
cana-5550	57	2	the	the	DET
cana-5550	57	3	comprehension	comprehension	NOUN
cana-5550	57	4	and	and	CCONJ
cana-5550	57	5	utilization	utilization	NOUN
cana-5550	57	6	of	of	ADP
cana-5550	57	7	user	user	NOUN
cana-5550	57	8	intent	intent	NOUN
cana-5550	57	9	in	in	ADP
cana-5550	57	10	the	the	DET
cana-5550	57	11	context	context	NOUN
cana-5550	57	12	of	of	ADP
cana-5550	57	13	community	community	NOUN
cana-5550	57	14	question	question	NOUN
cana-5550	57	15	responding	respond	VERB
cana-5550	57	16	.	.	PUNCT
cana-5550	58	1	1.1.different	1.1.different	NUM
cana-5550	58	2	approaches	approach	NOUN
cana-5550	58	3	providing	provide	VERB
cana-5550	58	4	a	a	DET
cana-5550	58	5	solution	solution	NOUN
cana-5550	58	6	to	to	ADP
cana-5550	58	7	the	the	DET
cana-5550	58	8	challenge	challenge	NOUN
cana-5550	58	9	will	will	AUX
cana-5550	58	10	benefit	benefit	VERB
cana-5550	58	11	quora	quora	NOUN
cana-5550	58	12	by	by	ADP
cana-5550	58	13	allowing	allow	VERB
cana-5550	58	14	the	the	DET
cana-5550	58	15	creation	creation	NOUN
cana-5550	58	16	of	of	ADP
cana-5550	58	17	a	a	DET
cana-5550	58	18	dedicated	dedicated	ADJ
cana-5550	58	19	page	page	NOUN
cana-5550	58	20	for	for	ADP
cana-5550	58	21	each	each	DET
cana-5550	58	22	unique	unique	ADJ
cana-5550	58	23	query	query	NOUN
cana-5550	58	24	,	,	PUNCT
cana-5550	58	25	thus	thus	ADV
cana-5550	58	26	enhancing	enhance	VERB
cana-5550	58	27	the	the	DET
cana-5550	58	28	efficiency	efficiency	NOUN
cana-5550	58	29	of	of	ADP
cana-5550	58	30	information	information	NOUN
cana-5550	58	31	sharing	sharing	NOUN
cana-5550	58	32	.	.	PUNCT
cana-5550	59	1	the	the	DET
cana-5550	59	2	question	question	NOUN
cana-5550	59	3	pairings	pairing	NOUN
cana-5550	59	4	in	in	ADP
cana-5550	59	5	the	the	DET
cana-5550	59	6	dataset	dataset	NOUN
cana-5550	59	7	share	share	NOUN
cana-5550	59	8	same	same	ADJ
cana-5550	59	9	vocabulary	vocabulary	NOUN
cana-5550	59	10	but	but	CCONJ
cana-5550	59	11	have	have	VERB
cana-5550	59	12	different	different	ADJ
cana-5550	59	13	meanings	meaning	NOUN
cana-5550	59	14	.	.	PUNCT
cana-5550	60	1	the	the	DET
cana-5550	60	2	phrases	phrase	NOUN
cana-5550	60	3	"	"	PUNCT
cana-5550	60	4	does	do	AUX
cana-5550	60	5	society	society	NOUN
cana-5550	60	6	place	place	VERB
cana-5550	60	7	too	too	ADV
cana-5550	60	8	much	much	ADJ
cana-5550	60	9	importance	importance	NOUN
cana-5550	60	10	on	on	ADP
cana-5550	60	11	sports	sport	NOUN
cana-5550	60	12	?	?	PUNCT
cana-5550	60	13	"	"	PUNCT
cana-5550	60	14	and	and	CCONJ
cana-5550	60	15	"	"	PUNCT
cana-5550	60	16	how	how	SCONJ
cana-5550	60	17	do	do	AUX
cana-5550	60	18	sports	sport	NOUN
cana-5550	60	19	contribute	contribute	VERB
cana-5550	60	20	to	to	ADP
cana-5550	60	21	society	society	NOUN
cana-5550	60	22	?	?	PUNCT
cana-5550	60	23	"	"	PUNCT
cana-5550	60	24	share	share	VERB
cana-5550	60	25	similar	similar	ADJ
cana-5550	60	26	wording	wording	NOUN
cana-5550	60	27	but	but	CCONJ
cana-5550	60	28	have	have	VERB
cana-5550	60	29	distinct	distinct	ADJ
cana-5550	60	30	semantic	semantic	ADJ
cana-5550	60	31	meanings	meaning	NOUN
cana-5550	60	32	.	.	PUNCT
cana-5550	61	1	our	our	PRON
cana-5550	61	2	model	model	NOUN
cana-5550	61	3	should	should	AUX
cana-5550	61	4	be	be	AUX
cana-5550	61	5	capable	capable	ADJ
cana-5550	61	6	of	of	ADP
cana-5550	61	7	recognizing	recognize	VERB
cana-5550	61	8	semantic	semantic	ADJ
cana-5550	61	9	similarity	similarity	NOUN
cana-5550	61	10	between	between	ADP
cana-5550	61	11	question	question	NOUN
cana-5550	61	12	pairs	pair	NOUN
cana-5550	61	13	with	with	ADP
cana-5550	61	14	similar	similar	ADJ
cana-5550	61	15	words	word	NOUN
cana-5550	61	16	but	but	CCONJ
cana-5550	61	17	diverse	diverse	ADJ
cana-5550	61	18	meanings	meaning	NOUN
cana-5550	61	19	,	,	PUNCT
cana-5550	61	20	as	as	ADV
cana-5550	61	21	well	well	ADV
cana-5550	61	22	as	as	ADP
cana-5550	61	23	identifying	identify	VERB
cana-5550	61	24	semantic	semantic	ADJ
cana-5550	61	25	equivalence	equivalence	NOUN
cana-5550	61	26	between	between	ADP
cana-5550	61	27	question	question	NOUN
cana-5550	61	28	pairs	pair	NOUN
cana-5550	61	29	with	with	ADP
cana-5550	61	30	different	different	ADJ
cana-5550	61	31	words	word	NOUN
cana-5550	61	32	but	but	CCONJ
cana-5550	61	33	the	the	DET
cana-5550	61	34	same	same	ADJ
cana-5550	61	35	meaning	meaning	NOUN
cana-5550	61	36	.	.	PUNCT
cana-5550	62	1	the	the	DET
cana-5550	62	2	authors	author	NOUN
cana-5550	62	3	propose	propose	VERB
cana-5550	62	4	a	a	DET
cana-5550	62	5	streamlined	streamlined	ADJ
cana-5550	62	6	yet	yet	ADV
cana-5550	62	7	robust	robust	ADJ
cana-5550	62	8	methodology	methodology	NOUN
cana-5550	62	9	that	that	PRON
cana-5550	62	10	utilizes	utilize	VERB
cana-5550	62	11	word	word	NOUN
cana-5550	62	12	embeddings	embedding	NOUN
cana-5550	62	13	and	and	CCONJ
cana-5550	62	14	a	a	DET
cana-5550	62	15	convolutional	convolutional	ADJ
cana-5550	62	16	neural	neural	ADJ
cana-5550	62	17	network	network	NOUN
cana-5550	62	18	(	(	PUNCT
cana-5550	62	19	cnn	cnn	PROPN
cana-5550	62	20	)	)	PUNCT
cana-5550	62	21	architecture	architecture	NOUN
cana-5550	62	22	devised	devise	VERB
cana-5550	62	23	by	by	ADP
cana-5550	62	24	yoon	yoon	PROPN
cana-5550	62	25	kim	kim	PROPN
cana-5550	62	26	.	.	PUNCT
cana-5550	63	1	the	the	DET
cana-5550	63	2	outcomes	outcome	NOUN
cana-5550	63	3	of	of	ADP
cana-5550	63	4	presented	present	VERB
cana-5550	63	5	experiment	experiment	NOUN
cana-5550	63	6	are	be	AUX
cana-5550	63	7	similar	similar	ADJ
cana-5550	63	8	to	to	ADP
cana-5550	63	9	advanced	advanced	ADJ
cana-5550	63	10	state	state	NOUN
cana-5550	63	11	-	-	PUNCT
cana-5550	63	12	of	of	ADP
cana-5550	63	13	-	-	PUNCT
cana-5550	63	14	the	the	DET
cana-5550	63	15	-	-	PUNCT
cana-5550	63	16	art	art	NOUN
cana-5550	63	17	models	model	NOUN
cana-5550	63	18	and	and	CCONJ
cana-5550	63	19	provide	provide	VERB
cana-5550	63	20	insights	insight	NOUN
cana-5550	63	21	to	to	ADP
cana-5550	63	22	the	the	DET
cana-5550	63	23	benefits	benefit	NOUN
cana-5550	63	24	of	of	ADP
cana-5550	63	25	word	word	NOUN
cana-5550	63	26	embeddings	embedding	NOUN
cana-5550	63	27	and	and	CCONJ
cana-5550	63	28	the	the	DET
cana-5550	63	29	significance	significance	NOUN
cana-5550	63	30	of	of	ADP
cana-5550	63	31	cleaning	clean	VERB
cana-5550	63	32	noisy	noisy	ADJ
cana-5550	63	33	text	text	NOUN
cana-5550	63	34	input	input	NOUN
cana-5550	63	35	.	.	PUNCT
cana-5550	64	1	the	the	DET
cana-5550	64	2	proposed	propose	VERB
cana-5550	64	3	study	study	NOUN
cana-5550	64	4	concentrate	concentrate	VERB
cana-5550	64	5	on	on	ADP
cana-5550	64	6	the	the	DET
cana-5550	64	7	data	datum	NOUN
cana-5550	64	8	pre	pre	ADJ
cana-5550	64	9	-	-	ADJ
cana-5550	64	10	processing	processing	ADJ
cana-5550	64	11	pipeline	pipeline	NOUN
cana-5550	64	12	and	and	CCONJ
cana-5550	64	13	the	the	DET
cana-5550	64	14	operations	operation	NOUN
cana-5550	64	15	and	and	CCONJ
cana-5550	64	16	layers	layer	NOUN
cana-5550	64	17	of	of	ADP
cana-5550	64	18	the	the	DET
cana-5550	64	19	proposed	propose	VERB
cana-5550	64	20	network	network	NOUN
cana-5550	64	21	architecture	architecture	NOUN
cana-5550	64	22	.	.	PUNCT
cana-5550	65	1	the	the	DET
cana-5550	65	2	authors	author	NOUN
cana-5550	65	3	build	build	VERB
cana-5550	65	4	a	a	DET
cana-5550	65	5	tokenizer	tokenizer	NOUN
cana-5550	65	6	that	that	PRON
cana-5550	65	7	converts	convert	VERB
cana-5550	65	8	every	every	DET
cana-5550	65	9	word	word	NOUN
cana-5550	65	10	in	in	ADP
cana-5550	65	11	the	the	DET
cana-5550	65	12	training	training	NOUN
cana-5550	65	13	and	and	CCONJ
cana-5550	65	14	test	test	NOUN
cana-5550	65	15	data	datum	NOUN
cana-5550	65	16	sets	set	NOUN
cana-5550	65	17	'	'	PART
cana-5550	65	18	text	text	NOUN
cana-5550	65	19	components	component	NOUN
cana-5550	65	20	into	into	ADP
cana-5550	65	21	a	a	DET
cana-5550	65	22	globally	globally	ADV
cana-5550	65	23	unique	unique	ADJ
cana-5550	65	24	token	token	ADJ
cana-5550	65	25	.	.	PUNCT
cana-5550	66	1	the	the	DET
cana-5550	66	2	authors	author	NOUN
cana-5550	66	3	then	then	ADV
cana-5550	66	4	tokenize	tokenize	VERB
cana-5550	66	5	each	each	DET
cana-5550	66	6	question	question	NOUN
cana-5550	66	7	to	to	PART
cana-5550	66	8	provide	provide	VERB
cana-5550	66	9	a	a	DET
cana-5550	66	10	fixedlength	fixedlength	NOUN
cana-5550	66	11	vector	vector	NOUN
cana-5550	66	12	representation	representation	NOUN
cana-5550	66	13	padding	padding	NOUN
cana-5550	66	14	.	.	PUNCT
cana-5550	67	1	then	then	ADV
cana-5550	67	2	,	,	PUNCT
cana-5550	67	3	create	create	VERB
cana-5550	67	4	a	a	DET
cana-5550	67	5	sequence	sequence	NOUN
cana-5550	67	6	embedding	embed	VERB
cana-5550	67	7	for	for	ADP
cana-5550	67	8	the	the	DET
cana-5550	67	9	pre	pre	ADJ
cana-5550	67	10	-	-	ADJ
cana-5550	67	11	trained	train	VERB
cana-5550	67	12	word2vec	word2vec	AUX
cana-5550	67	13	data	data	VERB
cana-5550	67	14	every	every	DET
cana-5550	67	15	query	query	NOUN
cana-5550	67	16	.	.	PUNCT
cana-5550	68	1	in	in	ADP
cana-5550	68	2	the	the	DET
cana-5550	68	3	training	training	NOUN
cana-5550	68	4	data	datum	NOUN
cana-5550	68	5	,	,	PUNCT
cana-5550	68	6	the	the	DET
cana-5550	68	7	authors	author	NOUN
cana-5550	68	8	replicate	replicate	VERB
cana-5550	68	9	each	each	DET
cana-5550	68	10	question	question	NOUN
cana-5550	68	11	pair	pair	NOUN
cana-5550	68	12	,	,	PUNCT
cana-5550	68	13	but	but	CCONJ
cana-5550	68	14	reverse	reverse	VERB
cana-5550	68	15	the	the	DET
cana-5550	68	16	order	order	NOUN
cana-5550	68	17	of	of	ADP
cana-5550	68	18	questions	question	NOUN
cana-5550	68	19	to	to	PART
cana-5550	68	20	mitigate	mitigate	VERB
cana-5550	68	21	influence	influence	NOUN
cana-5550	68	22	of	of	ADP
cana-5550	68	23	the	the	DET
cana-5550	68	24	sequence	sequence	NOUN
cana-5550	68	25	of	of	ADP
cana-5550	68	26	the	the	DET
cana-5550	68	27	two	two	NUM
cana-5550	68	28	questions.additionally	questions.additionally	ADV
cana-5550	68	29	,	,	PUNCT
cana-5550	68	30	the	the	DET
cana-5550	68	31	study	study	NOUN
cana-5550	68	32	computes	compute	VERB
cana-5550	68	33	the	the	DET
cana-5550	68	34	probability	probability	NOUN
cana-5550	68	35	of	of	ADP
cana-5550	68	36	both	both	PRON
cana-5550	68	37	(	(	PUNCT
cana-5550	68	38	q1	q1	PROPN
cana-5550	68	39	,	,	PUNCT
cana-5550	68	40	q2	q2	NOUN
cana-5550	68	41	)	)	PUNCT
cana-5550	68	42	and	and	CCONJ
cana-5550	68	43	(	(	PUNCT
cana-5550	68	44	q2	q2	PROPN
cana-5550	68	45	,	,	PUNCT
cana-5550	68	46	q1	q1	PROPN
cana-5550	68	47	)	)	PUNCT
cana-5550	68	48	and	and	CCONJ
cana-5550	68	49	average	average	VERB
cana-5550	68	50	the	the	DET
cana-5550	68	51	2	2	NUM
cana-5550	68	52	outputs	output	NOUN
cana-5550	68	53	to	to	PART
cana-5550	68	54	arrive	arrive	VERB
cana-5550	68	55	at	at	ADP
cana-5550	68	56	the	the	DET
cana-5550	68	57	result	result	NOUN
cana-5550	68	58	to	to	PART
cana-5550	68	59	decide	decide	VERB
cana-5550	68	60	whether	whether	SCONJ
cana-5550	68	61	the	the	DET
cana-5550	68	62	questions	question	NOUN
cana-5550	68	63	q1	q1	PROPN
cana-5550	68	64	and	and	CCONJ
cana-5550	68	65	q2	q2	NOUN
cana-5550	68	66	are	be	AUX
cana-5550	68	67	duplicates	duplicate	NOUN
cana-5550	68	68	.	.	PUNCT
cana-5550	69	1	2	2	X
cana-5550	69	2	.	.	NUM
cana-5550	69	3	related	relate	VERB
cana-5550	69	4	works	work	NOUN
cana-5550	69	5	h.	h.	PROPN
cana-5550	69	6	t.	t.	PROPN
cana-5550	69	7	le	le	PROPN
cana-5550	69	8	,	,	PUNCT
cana-5550	69	9	d.	d.	PROPN
cana-5550	69	10	t.	t.	PROPN
cana-5550	69	11	cao	cao	PROPN
cana-5550	69	12	,	,	PUNCT
cana-5550	69	13	and	and	CCONJ
cana-5550	69	14	et.al	et.al	VERB
cana-5550	69	15	"	"	PUNCT
cana-5550	69	16	improve	improve	VERB
cana-5550	69	17	quora	quora	NOUN
cana-5550	69	18	question	question	NOUN
cana-5550	69	19	pair	pair	NOUN
cana-5550	69	20	dataset	dataset	VERB
cana-5550	69	21	for	for	ADP
cana-5550	69	22	question	question	NOUN
cana-5550	69	23	similarity	similarity	NOUN
cana-5550	69	24	task	task	NOUN
cana-5550	69	25	,	,	PUNCT
cana-5550	69	26	"	"	PUNCT
cana-5550	70	1	[	[	X
cana-5550	70	2	10	10	NUM
cana-5550	70	3	]	]	X
cana-5550	70	4	a	a	DET
cana-5550	70	5	problem	problem	NOUN
cana-5550	70	6	of	of	ADP
cana-5550	70	7	the	the	DET
cana-5550	70	8	utmost	utmost	ADJ
cana-5550	70	9	significance	significance	NOUN
cana-5550	70	10	in	in	ADP
cana-5550	70	11	a	a	DET
cana-5550	70	12	questionanswering	questionanswere	VERB
cana-5550	70	13	scheme	scheme	NOUN
cana-5550	70	14	is	be	AUX
cana-5550	70	15	the	the	DET
cana-5550	70	16	automatic	automatic	ADJ
cana-5550	70	17	recognition	recognition	NOUN
cana-5550	70	18	of	of	ADP
cana-5550	70	19	semantically	semantically	ADV
cana-5550	70	20	identical	identical	ADJ
cana-5550	70	21	queries	query	NOUN
cana-5550	70	22	.	.	PUNCT
cana-5550	71	1	numerous	numerous	ADJ
cana-5550	71	2	studies	study	NOUN
cana-5550	71	3	have	have	AUX
cana-5550	71	4	now	now	ADV
cana-5550	71	5	used	use	VERB
cana-5550	71	6	the	the	DET
cana-5550	71	7	quora	quora	NOUN
cana-5550	71	8	dataset	dataset	VERB
cana-5550	71	9	to	to	ADP
cana-5550	71	10	communications	communication	NOUN
cana-5550	71	11	on	on	ADP
cana-5550	71	12	applied	apply	VERB
cana-5550	71	13	nonlinear	nonlinear	ADJ
cana-5550	71	14	analysis	analysis	NOUN
cana-5550	71	15	issn	issn	NOUN
cana-5550	71	16	:	:	PUNCT
cana-5550	71	17	1074	1074	NUM
cana-5550	71	18	-	-	PUNCT
cana-5550	71	19	133x	133x	NUM
cana-5550	71	20	vol	vol	NOUN
cana-5550	71	21	32	32	NUM
cana-5550	71	22	no	no	NOUN
cana-5550	71	23	.	.	NOUN
cana-5550	71	24	3	3	NUM
cana-5550	71	25	(	(	PUNCT
cana-5550	71	26	2025	2025	NUM
cana-5550	71	27	)	)	PUNCT
cana-5550	71	28	998	998	NUM
cana-5550	71	29	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	71	30	train	train	VERB
cana-5550	71	31	the	the	DET
cana-5550	71	32	system	system	NOUN
cana-5550	71	33	to	to	PART
cana-5550	71	34	recognize	recognize	VERB
cana-5550	71	35	duplicate	duplicate	ADJ
cana-5550	71	36	questions	question	NOUN
cana-5550	71	37	.	.	PUNCT
cana-5550	72	1	the	the	DET
cana-5550	72	2	dataset	dataset	NOUN
cana-5550	72	3	was	be	AUX
cana-5550	72	4	made	make	VERB
cana-5550	72	5	available	available	ADJ
cana-5550	72	6	as	as	ADP
cana-5550	72	7	part	part	NOUN
cana-5550	72	8	of	of	ADP
cana-5550	72	9	the	the	DET
cana-5550	72	10	kaggleorganized	kaggleorganize	VERB
cana-5550	72	11	quora	quora	NOUN
cana-5550	72	12	question	question	NOUN
cana-5550	72	13	pairs	pair	NOUN
cana-5550	72	14	competition	competition	NOUN
cana-5550	72	15	.	.	PUNCT
cana-5550	73	1	the	the	DET
cana-5550	73	2	ground	ground	NOUN
cana-5550	73	3	truth	truth	NOUN
cana-5550	73	4	labels	label	VERB
cana-5550	73	5	on	on	ADP
cana-5550	73	6	the	the	DET
cana-5550	73	7	dataset	dataset	NOUN
cana-5550	73	8	,	,	PUNCT
cana-5550	73	9	however	however	ADV
cana-5550	73	10	,	,	PUNCT
cana-5550	73	11	may	may	AUX
cana-5550	73	12	contain	contain	VERB
cana-5550	73	13	inaccurate	inaccurate	ADJ
cana-5550	73	14	labelling	labelling	NOUN
cana-5550	73	15	and	and	CCONJ
cana-5550	73	16	are	be	AUX
cana-5550	73	17	not	not	PART
cana-5550	73	18	entirely	entirely	ADV
cana-5550	73	19	accurate	accurate	ADJ
cana-5550	73	20	.	.	PUNCT
cana-5550	74	1	in	in	ADP
cana-5550	74	2	the	the	DET
cana-5550	74	3	study	study	NOUN
cana-5550	74	4	,	,	PUNCT
cana-5550	74	5	the	the	DET
cana-5550	74	6	authors	author	NOUN
cana-5550	74	7	focus	focus	VERB
cana-5550	74	8	on	on	ADP
cana-5550	74	9	enhancing	enhance	VERB
cana-5550	74	10	the	the	DET
cana-5550	74	11	quora	quora	NOUN
cana-5550	74	12	dataset	dataset	NOUN
cana-5550	74	13	's	's	PART
cana-5550	74	14	quality	quality	NOUN
cana-5550	74	15	by	by	ADP
cana-5550	74	16	combiningseveral	combiningseveral	ADJ
cana-5550	74	17	approaches	approach	NOUN
cana-5550	74	18	,	,	PUNCT
cana-5550	74	19	including	include	VERB
cana-5550	74	20	bert	bert	PROPN
cana-5550	74	21	,	,	PUNCT
cana-5550	74	22	rules	rule	NOUN
cana-5550	74	23	,	,	PUNCT
cana-5550	74	24	and	and	CCONJ
cana-5550	74	25	human	human	ADJ
cana-5550	74	26	label	label	NOUN
cana-5550	74	27	reassignment	reassignment	NOUN
cana-5550	74	28	.	.	PUNCT
cana-5550	75	1	m.	m.	NOUN
cana-5550	75	2	chandra	chandra	PROPN
cana-5550	75	3	,	,	PUNCT
cana-5550	75	4	a.	a.	PROPN
cana-5550	75	5	rodrigues	rodrigues	PROPN
cana-5550	75	6	,	,	PUNCT
cana-5550	75	7	and	and	CCONJ
cana-5550	75	8	j.	j.	PROPN
cana-5550	75	9	george	george	PROPN
cana-5550	75	10	,	,	PUNCT
cana-5550	75	11	"	"	PUNCT
cana-5550	75	12	an	an	DET
cana-5550	75	13	enhanced	enhanced	ADJ
cana-5550	75	14	deep	deep	ADJ
cana-5550	75	15	learning	learning	NOUN
cana-5550	75	16	model	model	NOUN
cana-5550	75	17	for	for	ADP
cana-5550	75	18	duplicate	duplicate	ADJ
cana-5550	75	19	question	question	NOUN
cana-5550	75	20	detection	detection	NOUN
cana-5550	75	21	on	on	ADP
cana-5550	75	22	quora	quora	NOUN
cana-5550	75	23	question	question	NOUN
cana-5550	75	24	pairs	pair	NOUN
cana-5550	75	25	using	use	VERB
cana-5550	75	26	siameselstm	siameselstm	NOUN
cana-5550	75	27	,	,	PUNCT
cana-5550	75	28	"	"	PUNCT
cana-5550	75	29	[	[	X
cana-5550	75	30	11	11	NUM
cana-5550	75	31	]	]	PUNCT
cana-5550	75	32	the	the	DET
cana-5550	75	33	utilization	utilization	NOUN
cana-5550	75	34	of	of	ADP
cana-5550	75	35	the	the	DET
cana-5550	75	36	question	question	NOUN
cana-5550	75	37	-	-	PUNCT
cana-5550	75	38	and	and	CCONJ
cana-5550	75	39	-	-	PUNCT
cana-5550	75	40	answer	answer	NOUN
cana-5550	75	41	platform	platform	NOUN
cana-5550	75	42	quora	quora	NOUN
cana-5550	75	43	by	by	ADP
cana-5550	75	44	a	a	DET
cana-5550	75	45	substantial	substantial	ADJ
cana-5550	75	46	number	number	NOUN
cana-5550	75	47	of	of	ADP
cana-5550	75	48	individuals	individual	NOUN
cana-5550	75	49	increases	increase	VERB
cana-5550	75	50	the	the	DET
cana-5550	75	51	probability	probability	NOUN
cana-5550	75	52	of	of	ADP
cana-5550	75	53	inquiries	inquiry	NOUN
cana-5550	75	54	being	be	AUX
cana-5550	75	55	posed	pose	VERB
cana-5550	75	56	with	with	ADP
cana-5550	75	57	comparable	comparable	ADJ
cana-5550	75	58	intents	intent	NOUN
cana-5550	75	59	.	.	PUNCT
cana-5550	76	1	repeating	repeat	VERB
cana-5550	76	2	the	the	DET
cana-5550	76	3	same	same	ADJ
cana-5550	76	4	questions	question	NOUN
cana-5550	76	5	can	can	AUX
cana-5550	76	6	significantly	significantly	ADV
cana-5550	76	7	affect	affect	VERB
cana-5550	76	8	the	the	DET
cana-5550	76	9	user	user	NOUN
cana-5550	76	10	experience	experience	NOUN
cana-5550	76	11	as	as	SCONJ
cana-5550	76	12	two	two	NUM
cana-5550	76	13	users	user	NOUN
cana-5550	76	14	formulates	formulate	VERB
cana-5550	76	15	the	the	DET
cana-5550	76	16	same	same	ADJ
cana-5550	76	17	inquiry	inquiry	NOUN
cana-5550	76	18	in	in	ADP
cana-5550	76	19	distinct	distinct	ADJ
cana-5550	76	20	manners	manner	NOUN
cana-5550	76	21	.	.	PUNCT
cana-5550	77	1	quora	quora	PROPN
cana-5550	77	2	employs	employ	VERB
cana-5550	77	3	the	the	DET
cana-5550	77	4	flawed	flawed	ADJ
cana-5550	77	5	random	random	ADJ
cana-5550	77	6	forest	forest	NOUN
cana-5550	77	7	model	model	NOUN
cana-5550	77	8	toidentify	toidentify	NOUN
cana-5550	77	9	and	and	CCONJ
cana-5550	77	10	eliminate	eliminate	VERB
cana-5550	77	11	duplicate	duplicate	ADJ
cana-5550	77	12	questions	question	NOUN
cana-5550	77	13	,	,	PUNCT
cana-5550	77	14	owing	owe	VERB
cana-5550	77	15	to	to	ADP
cana-5550	77	16	the	the	DET
cana-5550	77	17	arduous	arduous	ADJ
cana-5550	77	18	process	process	NOUN
cana-5550	77	19	of	of	ADP
cana-5550	77	20	manually	manually	ADV
cana-5550	77	21	screening	screen	VERB
cana-5550	77	22	such	such	ADJ
cana-5550	77	23	inquiries	inquiry	NOUN
cana-5550	77	24	.	.	PUNCT
cana-5550	78	1	various	various	ADJ
cana-5550	78	2	natural	natural	ADJ
cana-5550	78	3	language	language	NOUN
cana-5550	78	4	processing	processing	NOUN
cana-5550	78	5	algorithms	algorithm	NOUN
cana-5550	78	6	were	be	AUX
cana-5550	78	7	employed	employ	VERB
cana-5550	78	8	to	to	PART
cana-5550	78	9	transform	transform	VERB
cana-5550	78	10	the	the	DET
cana-5550	78	11	textual	textual	ADJ
cana-5550	78	12	data	datum	NOUN
cana-5550	78	13	from	from	ADP
cana-5550	78	14	quora	quora	NOUN
cana-5550	78	15	's	's	PART
cana-5550	78	16	question	question	NOUN
cana-5550	78	17	and	and	CCONJ
cana-5550	78	18	answer	answer	NOUN
cana-5550	78	19	database	database	NOUN
cana-5550	78	20	into	into	ADP
cana-5550	78	21	numerical	numerical	ADJ
cana-5550	78	22	vectors	vector	NOUN
cana-5550	78	23	.	.	PUNCT
cana-5550	79	1	this	this	DET
cana-5550	79	2	study	study	NOUN
cana-5550	79	3	mainly	mainly	ADV
cana-5550	79	4	uses	use	VERB
cana-5550	79	5	the	the	DET
cana-5550	79	6	log	log	NOUN
cana-5550	79	7	loss	loss	NOUN
cana-5550	79	8	measurement	measurement	NOUN
cana-5550	79	9	to	to	ADP
cana-5550	79	10	compare­	compare­	PROPN
cana-5550	79	11	different	different	ADJ
cana-5550	79	12	models	model	NOUN
cana-5550	79	13	.	.	PUNCT
cana-5550	80	1	the	the	DET
cana-5550	80	2	log	log	NOUN
cana-5550	80	3	loss	loss	NOUN
cana-5550	80	4	metric	metric	ADJ
cana-5550	80	5	calculates	calculate	VERB
cana-5550	80	6	how	how	SCONJ
cana-5550	80	7	well	well	ADV
cana-5550	80	8	a	a	DET
cana-5550	80	9	model	model	NOUN
cana-5550	80	10	predicts	predict	VERB
cana-5550	80	11	exact	exact	ADJ
cana-5550	80	12	probabilities	probability	NOUN
cana-5550	80	13	for	for	ADP
cana-5550	80	14	outcomes	outcome	NOUN
cana-5550	80	15	.	.	PUNCT
cana-5550	81	1	s.	s.	PROPN
cana-5550	81	2	m.	m.	PROPN
cana-5550	81	3	alawawdeh	alawawdeh	PROPN
cana-5550	81	4	and	and	CCONJ
cana-5550	81	5	g.	g.	PROPN
cana-5550	81	6	a.	a.	PROPN
cana-5550	81	7	abandah	abandah	PROPN
cana-5550	81	8	,	,	PUNCT
cana-5550	81	9	“	"	PUNCT
cana-5550	81	10	improving	improve	VERB
cana-5550	81	11	the	the	DET
cana-5550	81	12	accuracy	accuracy	NOUN
cana-5550	81	13	of	of	ADP
cana-5550	81	14	semantic	semantic	ADJ
cana-5550	81	15	similarity	similarity	NOUN
cana-5550	81	16	prediction	prediction	NOUN
cana-5550	81	17	of	of	ADP
cana-5550	81	18	arabic	arabic	ADJ
cana-5550	81	19	questions	question	NOUN
cana-5550	81	20	using	use	VERB
cana-5550	81	21	data	datum	NOUN
cana-5550	81	22	augmentation	augmentation	NOUN
cana-5550	81	23	and	and	CCONJ
cana-5550	81	24	ensemble”[12	ensemble”[12	NOUN
cana-5550	81	25	]	]	PUNCT
cana-5550	81	26	finding	find	VERB
cana-5550	81	27	the	the	DET
cana-5550	81	28	semantic	semantic	ADJ
cana-5550	81	29	similarity	similarity	NOUN
cana-5550	81	30	between	between	ADP
cana-5550	81	31	two	two	NUM
cana-5550	81	32	inquiries	inquiry	NOUN
cana-5550	81	33	was	be	AUX
cana-5550	81	34	anessential	anessential	ADJ
cana-5550	81	35	application	application	NOUN
cana-5550	81	36	of	of	ADP
cana-5550	81	37	arabic	arabic	ADJ
cana-5550	81	38	natural	natural	ADJ
cana-5550	81	39	language	language	NOUN
cana-5550	81	40	processing	processing	NOUN
cana-5550	81	41	,	,	PUNCT
cana-5550	81	42	such	such	ADJ
cana-5550	81	43	as	as	ADP
cana-5550	81	44	when	when	SCONJ
cana-5550	81	45	giving	give	VERB
cana-5550	81	46	an	an	DET
cana-5550	81	47	answer	answer	NOUN
cana-5550	81	48	to	to	ADP
cana-5550	81	49	a	a	DET
cana-5550	81	50	new	new	ADJ
cana-5550	81	51	query	query	NOUN
cana-5550	81	52	was	be	AUX
cana-5550	81	53	related	relate	VERB
cana-5550	81	54	to	to	ADP
cana-5550	81	55	one	one	NUM
cana-5550	81	56	with	with	ADP
cana-5550	81	57	a	a	DET
cana-5550	81	58	predetermined	predetermined	ADJ
cana-5550	81	59	response	response	NOUN
cana-5550	81	60	.	.	PUNCT
cana-5550	82	1	for	for	ADP
cana-5550	82	2	such	such	ADJ
cana-5550	82	3	application	application	NOUN
cana-5550	82	4	,	,	PUNCT
cana-5550	82	5	contemporary	contemporary	ADJ
cana-5550	82	6	previously	previously	ADV
cana-5550	82	7	trained	train	VERB
cana-5550	82	8	techniques	technique	NOUN
cana-5550	82	9	were	be	AUX
cana-5550	82	10	currently	currently	ADV
cana-5550	82	11	retasked	retaske	VERB
cana-5550	82	12	.	.	PUNCT
cana-5550	83	1	here	here	ADV
cana-5550	83	2	,	,	PUNCT
cana-5550	83	3	the	the	DET
cana-5550	83	4	authors	author	NOUN
cana-5550	83	5	offer	offer	VERB
cana-5550	83	6	suggestions	suggestion	NOUN
cana-5550	83	7	for	for	ADP
cana-5550	83	8	enhancing	enhance	VERB
cana-5550	83	9	the	the	DET
cana-5550	83	10	accuracy	accuracy	NOUN
cana-5550	83	11	of	of	ADP
cana-5550	83	12	the	the	DET
cana-5550	83	13	models	model	NOUN
cana-5550	83	14	and	and	CCONJ
cana-5550	83	15	study	study	VERB
cana-5550	83	16	with	with	ADP
cana-5550	83	17	data	datum	NOUN
cana-5550	83	18	augmentation	augmentation	NOUN
cana-5550	83	19	and	and	CCONJ
cana-5550	83	20	an	an	DET
cana-5550	83	21	ensemble	ensemble	NOUN
cana-5550	83	22	of	of	ADP
cana-5550	83	23	predictors	predictor	NOUN
cana-5550	83	24	to	to	PART
cana-5550	83	25	train	train	VERB
cana-5550	83	26	the	the	DET
cana-5550	83	27	wellknown	wellknown	NOUN
cana-5550	83	28	previously	previously	ADV
cana-5550	83	29	trained	train	VERB
cana-5550	83	30	arabert	arabert	NOUN
cana-5550	83	31	model	model	NOUN
cana-5550	83	32	in	in	ADP
cana-5550	83	33	two	two	NUM
cana-5550	83	34	stages	stage	NOUN
cana-5550	83	35	.	.	PUNCT
cana-5550	84	1	for	for	SCONJ
cana-5550	84	2	the	the	DET
cana-5550	84	3	model	model	NOUN
cana-5550	84	4	to	to	PART
cana-5550	84	5	acquire	acquire	VERB
cana-5550	84	6	knowledge	knowledge	NOUN
cana-5550	84	7	and	and	CCONJ
cana-5550	84	8	apply	apply	VERB
cana-5550	84	9	it	it	PRON
cana-5550	84	10	to	to	ADP
cana-5550	84	11	new	new	ADJ
cana-5550	84	12	situations	situation	NOUN
cana-5550	84	13	,	,	PUNCT
cana-5550	84	14	it	it	PRON
cana-5550	84	15	is	be	AUX
cana-5550	84	16	given	give	VERB
cana-5550	84	17	additional	additional	ADJ
cana-5550	84	18	data	datum	NOUN
cana-5550	84	19	examples	example	NOUN
cana-5550	84	20	through	through	ADP
cana-5550	84	21	a	a	DET
cana-5550	84	22	two	two	NUM
cana-5550	84	23	-	-	PUNCT
cana-5550	84	24	phase	phase	NOUN
cana-5550	84	25	training	training	NOUN
cana-5550	84	26	process	process	NOUN
cana-5550	84	27	and	and	CCONJ
cana-5550	84	28	data	datum	NOUN
cana-5550	84	29	augmentation	augmentation	NOUN
cana-5550	84	30	.	.	PUNCT
cana-5550	85	1	the	the	DET
cana-5550	85	2	proposed	propose	VERB
cana-5550	85	3	approach	approach	NOUN
cana-5550	85	4	significantly	significantly	ADV
cana-5550	85	5	decreases	decrease	VERB
cana-5550	85	6	the	the	DET
cana-5550	85	7	error	error	NOUN
cana-5550	85	8	rate	rate	NOUN
cana-5550	85	9	on	on	ADP
cana-5550	85	10	the	the	DET
cana-5550	85	11	standard	standard	ADJ
cana-5550	85	12	mawdoo3	mawdoo3	NOUN
cana-5550	85	13	dataset	dataset	NOUN
cana-5550	85	14	,	,	PUNCT
cana-5550	85	15	reducing	reduce	VERB
cana-5550	85	16	it	it	PRON
cana-5550	85	17	from	from	ADP
cana-5550	85	18	the	the	DET
cana-5550	85	19	previous	previous	ADJ
cana-5550	85	20	best	good	ADJ
cana-5550	85	21	work	work	NOUN
cana-5550	85	22	's	's	PART
cana-5550	85	23	4.08	4.08	NUM
cana-5550	85	24	%	%	NOUN
cana-5550	85	25	to	to	PART
cana-5550	85	26	3.12	3.12	NUM
cana-5550	85	27	%	%	NOUN
cana-5550	85	28	.	.	PUNCT
cana-5550	86	1	s.	s.	PROPN
cana-5550	86	2	zhang	zhang	PROPN
cana-5550	86	3	,	,	PUNCT
cana-5550	86	4	x.	x.	PROPN
cana-5550	86	5	xu	xu	PROPN
cana-5550	86	6	,	,	PUNCT
cana-5550	86	7	y.	y.	PROPN
cana-5550	86	8	tao	tao	PROPN
cana-5550	86	9	and	and	CCONJ
cana-5550	86	10	et.al	et.al	PROPN
cana-5550	86	11	,	,	PUNCT
cana-5550	86	12	"	"	PUNCT
cana-5550	86	13	text	text	NOUN
cana-5550	86	14	similarity	similarity	NOUN
cana-5550	86	15	measurement	measurement	NOUN
cana-5550	86	16	method	method	NOUN
cana-5550	86	17	based	base	VERB
cana-5550	86	18	on	on	ADP
cana-5550	86	19	bilstmsecapsnet	bilstmsecapsnet	NOUN
cana-5550	86	20	model,"[13	model,"[13	NOUN
cana-5550	86	21	]	]	X
cana-5550	86	22	the	the	DET
cana-5550	86	23	fundamental	fundamental	ADJ
cana-5550	86	24	task	task	NOUN
cana-5550	86	25	of	of	ADP
cana-5550	86	26	natural	natural	ADJ
cana-5550	86	27	language	language	NOUN
cana-5550	86	28	processing	processing	NOUN
cana-5550	86	29	,	,	PUNCT
cana-5550	86	30	which	which	PRON
cana-5550	86	31	involves	involve	VERB
cana-5550	86	32	measuring	measure	VERB
cana-5550	86	33	text	text	NOUN
cana-5550	86	34	similarity	similarity	NOUN
cana-5550	86	35	,	,	PUNCT
cana-5550	86	36	was	be	AUX
cana-5550	86	37	extensively	extensively	ADV
cana-5550	86	38	used	use	VERB
cana-5550	86	39	in	in	ADP
cana-5550	86	40	varied	varied	ADJ
cana-5550	86	41	applications	application	NOUN
cana-5550	86	42	such	such	ADJ
cana-5550	86	43	as	as	ADP
cana-5550	86	44	information	information	NOUN
cana-5550	86	45	retrieval	retrieval	NOUN
cana-5550	86	46	,	,	PUNCT
cana-5550	86	47	automatic	automatic	ADJ
cana-5550	86	48	question	question	NOUN
cana-5550	86	49	answering	answering	NOUN
cana-5550	86	50	,	,	PUNCT
cana-5550	86	51	and	and	CCONJ
cana-5550	86	52	machine	machine	NOUN
cana-5550	86	53	translation	translation	NOUN
cana-5550	86	54	.	.	PUNCT
cana-5550	87	1	this	this	DET
cana-5550	87	2	work	work	NOUN
cana-5550	87	3	introduces	introduce	VERB
cana-5550	87	4	a	a	DET
cana-5550	87	5	hybrid	hybrid	ADJ
cana-5550	87	6	model	model	NOUN
cana-5550	87	7	called	call	VERB
cana-5550	87	8	bilstm	bilstm	NOUN
cana-5550	87	9	-	-	PUNCT
cana-5550	87	10	secapsnet	secapsnet	NOUN
cana-5550	87	11	,	,	PUNCT
cana-5550	87	12	which	which	PRON
cana-5550	87	13	combines	combine	VERB
cana-5550	87	14	bilstm	bilstm	NOUN
cana-5550	87	15	,	,	PUNCT
cana-5550	87	16	capsnet	capsnet	NOUN
cana-5550	87	17	,	,	PUNCT
cana-5550	87	18	and	and	CCONJ
cana-5550	87	19	senet	senet	NOUN
cana-5550	87	20	.	.	PUNCT
cana-5550	88	1	the	the	DET
cana-5550	88	2	purpose	purpose	NOUN
cana-5550	88	3	of	of	ADP
cana-5550	88	4	this	this	DET
cana-5550	88	5	model	model	NOUN
cana-5550	88	6	is	be	AUX
cana-5550	88	7	to	to	PART
cana-5550	88	8	address	address	VERB
cana-5550	88	9	the	the	DET
cana-5550	88	10	limitations	limitation	NOUN
cana-5550	88	11	of	of	ADP
cana-5550	88	12	standard	standard	ADJ
cana-5550	88	13	statistical	statistical	ADJ
cana-5550	88	14	-	-	PUNCT
cana-5550	88	15	based	base	VERB
cana-5550	88	16	methods	method	NOUN
cana-5550	88	17	in	in	ADP
cana-5550	88	18	effectively	effectively	ADV
cana-5550	88	19	extracting	extract	VERB
cana-5550	88	20	the	the	DET
cana-5550	88	21	semantic	semantic	ADJ
cana-5550	88	22	content	content	NOUN
cana-5550	88	23	of	of	ADP
cana-5550	88	24	text	text	NOUN
cana-5550	88	25	.	.	PUNCT
cana-5550	89	1	the	the	DET
cana-5550	89	2	siamesebilstm	siamesebilstm	NOUN
cana-5550	89	3	network	network	NOUN
cana-5550	89	4	was	be	AUX
cana-5550	89	5	employed	employ	VERB
cana-5550	89	6	as	as	ADP
cana-5550	89	7	sequential	sequential	ADJ
cana-5550	89	8	inference	inference	NOUN
cana-5550	89	9	models	model	NOUN
cana-5550	89	10	to	to	PART
cana-5550	89	11	extract	extract	VERB
cana-5550	89	12	the	the	DET
cana-5550	89	13	global	global	ADJ
cana-5550	89	14	features	feature	NOUN
cana-5550	89	15	.	.	PUNCT
cana-5550	90	1	this	this	DET
cana-5550	90	2	study	study	NOUN
cana-5550	90	3	uses	use	VERB
cana-5550	90	4	the	the	DET
cana-5550	90	5	coattention	coattention	NOUN
cana-5550	90	6	approach	approach	NOUN
cana-5550	90	7	to	to	PART
cana-5550	90	8	generate	generate	VERB
cana-5550	90	9	attention	attention	NOUN
cana-5550	90	10	weights	weight	NOUN
cana-5550	90	11	between	between	ADP
cana-5550	90	12	text	text	NOUN
cana-5550	90	13	features	feature	NOUN
cana-5550	90	14	and	and	CCONJ
cana-5550	90	15	gather	gather	VERB
cana-5550	90	16	local	local	ADJ
cana-5550	90	17	inference	inference	NOUN
cana-5550	90	18	over	over	ADP
cana-5550	90	19	sequences	sequence	NOUN
cana-5550	90	20	.	.	PUNCT
cana-5550	91	1	additionally	additionally	ADV
cana-5550	91	2	,	,	PUNCT
cana-5550	91	3	the	the	DET
cana-5550	91	4	capsnet	capsnet	NOUN
cana-5550	91	5	network	network	NOUN
cana-5550	91	6	is	be	AUX
cana-5550	91	7	introduced	introduce	VERB
cana-5550	91	8	to	to	PART
cana-5550	91	9	capture	capture	VERB
cana-5550	91	10	the	the	DET
cana-5550	91	11	text	text	NOUN
cana-5550	91	12	's	's	PART
cana-5550	91	13	regional	regional	ADJ
cana-5550	91	14	characteristics	characteristic	NOUN
cana-5550	91	15	.	.	PUNCT
cana-5550	92	1	the	the	DET
cana-5550	92	2	relevance	relevance	NOUN
cana-5550	92	3	of	of	ADP
cana-5550	92	4	each	each	DET
cana-5550	92	5	local	local	ADJ
cana-5550	92	6	attribute	attribute	NOUN
cana-5550	92	7	is	be	AUX
cana-5550	92	8	then	then	ADV
cana-5550	92	9	automatically	automatically	ADV
cana-5550	92	10	calibrated	calibrate	VERB
cana-5550	92	11	using	use	VERB
cana-5550	92	12	the	the	DET
cana-5550	92	13	senet	senet	NOUN
cana-5550	92	14	network	network	NOUN
cana-5550	92	15	to	to	PART
cana-5550	92	16	determine	determine	VERB
cana-5550	92	17	the	the	DET
cana-5550	92	18	local	local	ADJ
cana-5550	92	19	future	future	ADJ
cana-5550	92	20	matrix	matrix	NOUN
cana-5550	92	21	.	.	PUNCT
cana-5550	92	22	.	.	PUNCT
cana-5550	93	1	y.	y.	PROPN
cana-5550	93	2	chen	chen	PROPN
cana-5550	93	3	,	,	PUNCT
cana-5550	93	4	h.	h.	PROPN
cana-5550	93	5	wang	wang	PROPN
cana-5550	93	6	,	,	PUNCT
cana-5550	93	7	r.	r.	PROPN
cana-5550	93	8	sun	sun	PROPN
cana-5550	93	9	and	and	CCONJ
cana-5550	93	10	e.	e.	PROPN
cana-5550	93	11	chen	chen	PROPN
cana-5550	93	12	,	,	PUNCT
cana-5550	93	13	"	"	PUNCT
cana-5550	93	14	context	context	NOUN
cana-5550	93	15	-	-	PUNCT
cana-5550	93	16	aware	aware	ADJ
cana-5550	93	17	semantic	semantic	ADJ
cana-5550	93	18	matching	matching	NOUN
cana-5550	93	19	with	with	ADP
cana-5550	93	20	self	self	NOUN
cana-5550	93	21	attention	attention	NOUN
cana-5550	93	22	mechanism	mechanism	NOUN
cana-5550	93	23	,	,	PUNCT
cana-5550	93	24	"	"	PUNCT
cana-5550	93	25	[	[	X
cana-5550	93	26	14	14	NUM
cana-5550	93	27	]	]	X
cana-5550	93	28	it	it	PRON
cana-5550	93	29	is	be	AUX
cana-5550	93	30	well	well	ADV
cana-5550	93	31	knowledge	knowledge	NOUN
cana-5550	93	32	that	that	SCONJ
cana-5550	93	33	many	many	ADJ
cana-5550	93	34	other	other	ADJ
cana-5550	93	35	language	language	NOUN
cana-5550	93	36	applications	application	NOUN
cana-5550	93	37	,	,	PUNCT
cana-5550	93	38	such	such	ADJ
cana-5550	93	39	as	as	ADP
cana-5550	93	40	chatbots	chatbot	NOUN
cana-5550	93	41	,	,	PUNCT
cana-5550	93	42	question	question	NOUN
cana-5550	93	43	-	-	PUNCT
cana-5550	93	44	answer	answer	NOUN
cana-5550	93	45	matching	matching	NOUN
cana-5550	93	46	,	,	PUNCT
cana-5550	93	47	and	and	CCONJ
cana-5550	93	48	customer	customer	NOUN
cana-5550	93	49	service	service	NOUN
cana-5550	93	50	,	,	PUNCT
cana-5550	93	51	are	be	AUX
cana-5550	93	52	built	build	VERB
cana-5550	93	53	on	on	ADP
cana-5550	93	54	semantic	semantic	ADJ
cana-5550	93	55	matching	matching	NOUN
cana-5550	93	56	.	.	PUNCT
cana-5550	94	1	in	in	ADP
cana-5550	94	2	the	the	DET
cana-5550	94	3	area	area	NOUN
cana-5550	94	4	of	of	ADP
cana-5550	94	5	natural	natural	ADJ
cana-5550	94	6	language	language	NOUN
cana-5550	94	7	processing	processing	NOUN
cana-5550	94	8	,	,	PUNCT
cana-5550	94	9	semantic	semantic	ADJ
cana-5550	94	10	matching	matching	NOUN
cana-5550	94	11	is	be	AUX
cana-5550	94	12	also	also	ADV
cana-5550	94	13	quite	quite	ADV
cana-5550	94	14	important	important	ADJ
cana-5550	94	15	.	.	PUNCT
cana-5550	95	1	even	even	ADV
cana-5550	95	2	after	after	SCONJ
cana-5550	95	3	considerable	considerable	ADJ
cana-5550	95	4	communications	communication	NOUN
cana-5550	95	5	on	on	ADP
cana-5550	95	6	applied	apply	VERB
cana-5550	95	7	nonlinear	nonlinear	ADJ
cana-5550	95	8	analysis	analysis	NOUN
cana-5550	95	9	issn	issn	NOUN
cana-5550	95	10	:	:	PUNCT
cana-5550	95	11	1074	1074	NUM
cana-5550	95	12	-	-	PUNCT
cana-5550	95	13	133x	133x	NUM
cana-5550	95	14	vol	vol	NOUN
cana-5550	95	15	32	32	NUM
cana-5550	95	16	no	no	NOUN
cana-5550	95	17	.	.	NOUN
cana-5550	95	18	3	3	NUM
cana-5550	95	19	(	(	PUNCT
cana-5550	95	20	2025	2025	NUM
cana-5550	95	21	)	)	PUNCT
cana-5550	95	22	999	999	NUM
cana-5550	95	23	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	95	24	work	work	NOUN
cana-5550	95	25	,	,	PUNCT
cana-5550	95	26	they	they	PRON
cana-5550	95	27	mostly	mostly	ADV
cana-5550	95	28	focus	focus	VERB
cana-5550	95	29	on	on	ADP
cana-5550	95	30	the	the	DET
cana-5550	95	31	semantic	semantic	ADJ
cana-5550	95	32	matching	matching	NOUN
cana-5550	95	33	of	of	ADP
cana-5550	95	34	a	a	DET
cana-5550	95	35	single	single	ADJ
cana-5550	95	36	sentence	sentence	NOUN
cana-5550	95	37	pair	pair	NOUN
cana-5550	95	38	..	..	PUNCT
cana-5550	95	39	however	however	ADV
cana-5550	95	40	,	,	PUNCT
cana-5550	95	41	a	a	DET
cana-5550	95	42	sentence	sentence	NOUN
cana-5550	95	43	frequently	frequently	ADV
cana-5550	95	44	has	have	VERB
cana-5550	95	45	semantic	semantic	ADJ
cana-5550	95	46	links	link	NOUN
cana-5550	95	47	with	with	ADP
cana-5550	95	48	several	several	ADJ
cana-5550	95	49	other	other	ADJ
cana-5550	95	50	sentences	sentence	NOUN
cana-5550	95	51	in	in	ADP
cana-5550	95	52	real	real	ADJ
cana-5550	95	53	-	-	PUNCT
cana-5550	95	54	world	world	NOUN
cana-5550	95	55	contexts	contexts	NOUN
cana-5550	95	56	.	.	PUNCT
cana-5550	96	1	therefore	therefore	ADV
cana-5550	96	2	,	,	PUNCT
cana-5550	96	3	previous	previous	ADJ
cana-5550	96	4	research	research	NOUN
cana-5550	96	5	has	have	AUX
cana-5550	96	6	generally	generally	ADV
cana-5550	96	7	neglected	neglect	VERB
cana-5550	96	8	the	the	DET
cana-5550	96	9	relationship	relationship	NOUN
cana-5550	96	10	details	detail	NOUN
cana-5550	96	11	between	between	ADP
cana-5550	96	12	phrases	phrase	NOUN
cana-5550	96	13	.	.	PUNCT
cana-5550	97	1	the	the	DET
cana-5550	97	2	authors	author	NOUN
cana-5550	97	3	present	present	VERB
cana-5550	97	4	a	a	DET
cana-5550	97	5	novel	novel	ADJ
cana-5550	97	6	self	self	NOUN
cana-5550	97	7	-	-	PUNCT
cana-5550	97	8	attention	attention	NOUN
cana-5550	97	9	relational	relational	ADJ
cana-5550	97	10	sentence	sentence	NOUN
cana-5550	97	11	semantic	semantic	ADJ
cana-5550	97	12	matching	matching	NOUN
cana-5550	97	13	(	(	PUNCT
cana-5550	97	14	sr	sr	PROPN
cana-5550	97	15	-	-	PUNCT
cana-5550	97	16	ssm	ssm	PROPN
cana-5550	97	17	)	)	PUNCT
cana-5550	97	18	framework	framework	NOUN
cana-5550	97	19	in	in	ADP
cana-5550	97	20	the	the	DET
cana-5550	97	21	research	research	NOUN
cana-5550	97	22	to	to	PART
cana-5550	97	23	achieve	achieve	VERB
cana-5550	97	24	better	well	ADJ
cana-5550	97	25	semantic	semantic	ADJ
cana-5550	97	26	matching	matching	NOUN
cana-5550	97	27	.	.	PUNCT
cana-5550	98	1	the	the	DET
cana-5550	98	2	framework	framework	NOUN
cana-5550	98	3	combines	combine	VERB
cana-5550	98	4	the	the	DET
cana-5550	98	5	use	use	NOUN
cana-5550	98	6	of	of	ADP
cana-5550	98	7	sentences	sentence	NOUN
cana-5550	98	8	with	with	ADP
cana-5550	98	9	relational	relational	ADJ
cana-5550	98	10	information	information	NOUN
cana-5550	98	11	.	.	PUNCT
cana-5550	99	1	to	to	PART
cana-5550	99	2	be	be	AUX
cana-5550	99	3	more	more	ADV
cana-5550	99	4	specific	specific	ADJ
cana-5550	99	5	,	,	PUNCT
cana-5550	99	6	the	the	DET
cana-5550	99	7	authors	author	NOUN
cana-5550	99	8	use	use	VERB
cana-5550	99	9	the	the	DET
cana-5550	99	10	lstm	lstm	PROPN
cana-5550	99	11	network	network	NOUN
cana-5550	99	12	to	to	PART
cana-5550	99	13	get	get	VERB
cana-5550	99	14	the	the	DET
cana-5550	99	15	original	original	ADJ
cana-5550	99	16	representation	representation	NOUN
cana-5550	99	17	.	.	PUNCT
cana-5550	100	1	d.	d.	PROPN
cana-5550	100	2	luo	luo	PROPN
cana-5550	100	3	,	,	PUNCT
cana-5550	100	4	j.	j.	PROPN
cana-5550	100	5	su	su	PROPN
cana-5550	100	6	and	and	CCONJ
cana-5550	100	7	s.	s.	PROPN
cana-5550	100	8	yu	yu	PROPN
cana-5550	100	9	,	,	PUNCT
cana-5550	100	10	"	"	PUNCT
cana-5550	100	11	a	a	DET
cana-5550	100	12	bert	bert	NOUN
cana-5550	100	13	-	-	PUNCT
cana-5550	100	14	based	base	VERB
cana-5550	100	15	approach	approach	NOUN
cana-5550	100	16	with	with	ADP
cana-5550	100	17	relation	relation	NOUN
cana-5550	100	18	-	-	PUNCT
cana-5550	100	19	aware	aware	ADJ
cana-5550	100	20	attention	attention	NOUN
cana-5550	100	21	for	for	ADP
cana-5550	100	22	knowledge	knowledge	NOUN
cana-5550	100	23	base	base	NOUN
cana-5550	100	24	question	question	NOUN
cana-5550	100	25	answering	answering	NOUN
cana-5550	100	26	,	,	PUNCT
cana-5550	100	27	"	"	PUNCT
cana-5550	100	28	[	[	X
cana-5550	100	29	15	15	NUM
cana-5550	100	30	]	]	X
cana-5550	100	31	the	the	DET
cana-5550	100	32	use	use	NOUN
cana-5550	100	33	of	of	ADP
cana-5550	100	34	knowledge	knowledge	NOUN
cana-5550	100	35	base	base	NOUN
cana-5550	100	36	(	(	PUNCT
cana-5550	100	37	kb	kb	PROPN
cana-5550	100	38	)	)	PUNCT
cana-5550	100	39	information	information	NOUN
cana-5550	100	40	to	to	PART
cana-5550	100	41	deliver	deliver	VERB
cana-5550	100	42	natural	natural	ADJ
cana-5550	100	43	language	language	NOUN
cana-5550	100	44	answers	answer	NOUN
cana-5550	100	45	to	to	ADP
cana-5550	100	46	questions	question	NOUN
cana-5550	100	47	has	have	AUX
cana-5550	100	48	led	lead	VERB
cana-5550	100	49	to	to	ADP
cana-5550	100	50	the	the	DET
cana-5550	100	51	recent	recent	ADJ
cana-5550	100	52	attention	attention	NOUN
cana-5550	100	53	-	-	PUNCT
cana-5550	100	54	grabbing	grab	VERB
cana-5550	100	55	developments	development	NOUN
cana-5550	100	56	in	in	ADP
cana-5550	100	57	knowledge	knowledge	NOUN
cana-5550	100	58	base	base	NOUN
cana-5550	100	59	question	question	NOUN
cana-5550	100	60	answering	answering	NOUN
cana-5550	100	61	(	(	PUNCT
cana-5550	100	62	kbqa	kbqa	NOUN
cana-5550	100	63	)	)	PUNCT
cana-5550	100	64	.	.	PUNCT
cana-5550	101	1	the	the	DET
cana-5550	101	2	current	current	ADJ
cana-5550	101	3	efforts	effort	NOUN
cana-5550	101	4	mostly	mostly	ADV
cana-5550	101	5	overlook	overlook	VERB
cana-5550	101	6	the	the	DET
cana-5550	101	7	connections	connection	NOUN
cana-5550	101	8	between	between	ADP
cana-5550	101	9	queries	query	NOUN
cana-5550	101	10	and	and	CCONJ
cana-5550	101	11	kb	kb	PROPN
cana-5550	101	12	data	datum	NOUN
cana-5550	101	13	,	,	PUNCT
cana-5550	101	14	which	which	PRON
cana-5550	101	15	can	can	AUX
cana-5550	101	16	hinder	hinder	VERB
cana-5550	101	17	further	further	ADJ
cana-5550	101	18	enhancements	enhancement	NOUN
cana-5550	101	19	in	in	ADP
cana-5550	101	20	efficiency	efficiency	NOUN
cana-5550	101	21	.	.	PUNCT
cana-5550	102	1	the	the	DET
cana-5550	102	2	study	study	NOUN
cana-5550	102	3	proposes	propose	VERB
cana-5550	102	4	a	a	DET
cana-5550	102	5	bert	bert	NOUN
cana-5550	102	6	-	-	PUNCT
cana-5550	102	7	basis	basis	NOUN
cana-5550	102	8	method	method	NOUN
cana-5550	102	9	for	for	ADP
cana-5550	102	10	question	question	NOUN
cana-5550	102	11	answering	answer	VERB
cana-5550	102	12	in	in	ADP
cana-5550	102	13	single	single	ADJ
cana-5550	102	14	-	-	PUNCT
cana-5550	102	15	connection	connection	NOUN
cana-5550	102	16	scenarios	scenario	NOUN
cana-5550	102	17	(	(	PUNCT
cana-5550	102	18	sr	sr	PROPN
cana-5550	102	19	-	-	PUNCT
cana-5550	102	20	qa	qa	PROPN
cana-5550	102	21	)	)	PUNCT
cana-5550	102	22	.	.	PUNCT
cana-5550	103	1	the	the	DET
cana-5550	103	2	proposed	propose	VERB
cana-5550	103	3	method	method	NOUN
cana-5550	103	4	includes	include	VERB
cana-5550	103	5	two	two	NUM
cana-5550	103	6	techniques	technique	NOUN
cana-5550	103	7	:	:	PUNCT
cana-5550	103	8	entity	entity	NOUN
cana-5550	103	9	linking	linking	NOUN
cana-5550	103	10	and	and	CCONJ
cana-5550	103	11	relation	relation	NOUN
cana-5550	103	12	identification	identification	NOUN
cana-5550	103	13	,	,	PUNCT
cana-5550	103	14	which	which	PRON
cana-5550	103	15	aim	aim	VERB
cana-5550	103	16	to	to	PART
cana-5550	103	17	address	address	VERB
cana-5550	103	18	the	the	DET
cana-5550	103	19	problem	problem	NOUN
cana-5550	103	20	.	.	PUNCT
cana-5550	104	1	in	in	ADP
cana-5550	104	2	order	order	NOUN
cana-5550	104	3	to	to	PART
cana-5550	104	4	mitigate	mitigate	VERB
cana-5550	104	5	the	the	DET
cana-5550	104	6	presence	presence	NOUN
cana-5550	104	7	of	of	ADP
cana-5550	104	8	noise	noise	NOUN
cana-5550	104	9	in	in	ADP
cana-5550	104	10	the	the	DET
cana-5550	104	11	candidate	candidate	NOUN
cana-5550	104	12	facts	fact	NOUN
cana-5550	104	13	for	for	ADP
cana-5550	104	14	entity	entity	NOUN
cana-5550	104	15	conection	conection	NOUN
cana-5550	104	16	,	,	PUNCT
cana-5550	104	17	the	the	DET
cana-5550	104	18	authors	author	NOUN
cana-5550	104	19	uses	use	VERB
cana-5550	104	20	a	a	DET
cana-5550	104	21	heuristic	heuristic	ADJ
cana-5550	104	22	approach	approach	NOUN
cana-5550	104	23	and	and	CCONJ
cana-5550	104	24	utilize	utilize	VERB
cana-5550	104	25	pre	pre	ADJ
cana-5550	104	26	-	-	ADJ
cana-5550	104	27	trained	train	VERB
cana-5550	104	28	bert	bert	NOUN
cana-5550	104	29	network	network	NOUN
cana-5550	104	30	.	.	PUNCT
cana-5550	105	1	preceding	precede	VERB
cana-5550	105	2	the	the	DET
cana-5550	105	3	computation	computation	NOUN
cana-5550	105	4	of	of	ADP
cana-5550	105	5	semantic	semantic	ADJ
cana-5550	105	6	similarity	similarity	NOUN
cana-5550	105	7	,	,	PUNCT
cana-5550	105	8	current	current	ADJ
cana-5550	105	9	algorithms	algorithm	NOUN
cana-5550	105	10	employed	employ	VERB
cana-5550	105	11	for	for	ADP
cana-5550	105	12	relation	relation	NOUN
cana-5550	105	13	detection	detection	NOUN
cana-5550	105	14	frequently	frequently	ADV
cana-5550	105	15	depict	depict	VERB
cana-5550	105	16	the	the	DET
cana-5550	105	17	query	query	NOUN
cana-5550	105	18	and	and	CCONJ
cana-5550	105	19	the	the	DET
cana-5550	105	20	candidate	candidate	NOUN
cana-5550	105	21	fact	fact	NOUN
cana-5550	105	22	as	as	ADP
cana-5550	105	23	distinct	distinct	ADJ
cana-5550	105	24	entities	entity	NOUN
cana-5550	105	25	[	[	X
cana-5550	105	26	16	16	NUM
cana-5550	105	27	]	]	PUNCT
cana-5550	105	28	.	.	PUNCT
cana-5550	106	1	3	3	X
cana-5550	106	2	.	.	X
cana-5550	106	3	dataset	dataset	NOUN
cana-5550	106	4	it	it	PRON
cana-5550	106	5	utilizes	utilize	VERB
cana-5550	106	6	a	a	DET
cana-5550	106	7	dataset	dataset	NOUN
cana-5550	106	8	sourced	source	VERB
cana-5550	106	9	from	from	ADP
cana-5550	106	10	kaggle	kaggle	ADV
cana-5550	106	11	known	know	VERB
cana-5550	106	12	as	as	ADP
cana-5550	106	13	"	"	PUNCT
cana-5550	106	14	quora	quora	NOUN
cana-5550	106	15	question	question	NOUN
cana-5550	106	16	pairs	pair	NOUN
cana-5550	106	17	"	"	PUNCT
cana-5550	106	18	.	.	PUNCT
cana-5550	107	1	the	the	DET
cana-5550	107	2	information	information	NOUN
cana-5550	107	3	will	will	AUX
cana-5550	107	4	be	be	AUX
cana-5550	107	5	saved	save	VERB
cana-5550	107	6	in	in	ADP
cana-5550	107	7	the	the	DET
cana-5550	107	8	training.csv	training.csv	PUNCT
cana-5550	107	9	document	document	NOUN
cana-5550	107	10	[	[	X
cana-5550	107	11	17	17	NUM
cana-5550	107	12	-	-	SYM
cana-5550	107	13	20	20	NUM
cana-5550	107	14	]	]	PUNCT
cana-5550	107	15	.	.	PUNCT
cana-5550	108	1	in	in	ADP
cana-5550	108	2	the	the	DET
cana-5550	108	3	train.csv	train.csv	NUM
cana-5550	108	4	file	file	NOUN
cana-5550	108	5	,	,	PUNCT
cana-5550	108	6	there	there	PRON
cana-5550	108	7	are	be	VERB
cana-5550	108	8	five	five	NUM
cana-5550	108	9	sections	section	NOUN
cana-5550	108	10	,	,	PUNCT
cana-5550	108	11	called	call	VERB
cana-5550	108	12	qid1	qid1	PROPN
cana-5550	108	13	,	,	PUNCT
cana-5550	108	14	qid2	qid2	NOUN
cana-5550	108	15	,	,	PUNCT
cana-5550	108	16	que­stion1	que­stion1	NOUN
cana-5550	108	17	,	,	PUNCT
cana-5550	108	18	question2	question2	NOUN
cana-5550	108	19	,	,	PUNCT
cana-5550	108	20	and	and	CCONJ
cana-5550	108	21	is_duplicate	is_duplicate	ADJ
cana-5550	108	22	.	.	PUNCT
cana-5550	109	1	the	the	DET
cana-5550	109	2	training.csv	training.csv	NUM
cana-5550	109	3	file	file	NOUN
cana-5550	109	4	is	be	AUX
cana-5550	109	5	60	60	NUM
cana-5550	109	6	megabytes	megabyte	NOUN
cana-5550	109	7	big	big	ADJ
cana-5550	109	8	.	.	PUNCT
cana-5550	110	1	the	the	DET
cana-5550	110	2	full	full	ADJ
cana-5550	110	3	count	count	NOUN
cana-5550	110	4	of	of	ADP
cana-5550	110	5	lines	line	NOUN
cana-5550	110	6	in	in	ADP
cana-5550	110	7	the	the	DET
cana-5550	110	8	train.csv	train.csv	NUM
cana-5550	110	9	file	file	NOUN
cana-5550	110	10	is	be	AUX
cana-5550	110	11	404,290.a	404,290.a	NUM
cana-5550	110	12	value	value	NOUN
cana-5550	110	13	of	of	ADP
cana-5550	110	14	0	0	NUM
cana-5550	110	15	is	be	AUX
cana-5550	110	16	assigned	assign	VERB
cana-5550	110	17	to	to	ADP
cana-5550	110	18	the	the	DET
cana-5550	110	19	target	target	NOUN
cana-5550	110	20	label	label	NOUN
cana-5550	110	21	'	'	PUNCT
cana-5550	110	22	is_duplicate	is_duplicate	NOUN
cana-5550	110	23	'	'	PUNCT
cana-5550	110	24	for	for	ADP
cana-5550	110	25	questions	question	NOUN
cana-5550	110	26	that	that	PRON
cana-5550	110	27	are	be	AUX
cana-5550	110	28	not	not	PART
cana-5550	110	29	comparable	comparable	ADJ
cana-5550	110	30	,	,	PUNCT
cana-5550	110	31	while	while	SCONJ
cana-5550	110	32	a	a	DET
cana-5550	110	33	value	value	NOUN
cana-5550	110	34	of	of	ADP
cana-5550	110	35	1	1	NUM
cana-5550	110	36	is	be	AUX
cana-5550	110	37	assigned	assign	VERB
cana-5550	110	38	to	to	ADP
cana-5550	110	39	questions	question	NOUN
cana-5550	110	40	that	that	PRON
cana-5550	110	41	are	be	AUX
cana-5550	110	42	similar	similar	ADJ
cana-5550	110	43	.	.	PUNCT
cana-5550	111	1	the	the	DET
cana-5550	111	2	classes	class	NOUN
cana-5550	111	3	are	be	AUX
cana-5550	111	4	not	not	PART
cana-5550	111	5	entirely	entirely	ADV
cana-5550	111	6	equitable	equitable	ADJ
cana-5550	111	7	,	,	PUNCT
cana-5550	111	8	but	but	CCONJ
cana-5550	111	9	they	they	PRON
cana-5550	111	10	are	be	AUX
cana-5550	111	11	feasible	feasible	ADJ
cana-5550	111	12	.	.	PUNCT
cana-5550	112	1	there	there	PRON
cana-5550	112	2	are	be	VERB
cana-5550	112	3	over	over	ADP
cana-5550	112	4	four	four	NUM
cana-5550	112	5	hundred	hundred	NUM
cana-5550	112	6	thousand	thousand	NUM
cana-5550	112	7	question	question	NOUN
cana-5550	112	8	pairs	pair	NOUN
cana-5550	112	9	available	available	ADJ
cana-5550	112	10	to	to	PART
cana-5550	112	11	use	use	VERB
cana-5550	112	12	for	for	ADP
cana-5550	112	13	training	training	NOUN
cana-5550	112	14	.	.	PUNCT
cana-5550	113	1	around	around	ADP
cana-5550	113	2	sixty	sixty	NUM
cana-5550	113	3	-	-	PUNCT
cana-5550	113	4	three	three	NUM
cana-5550	113	5	percent	percent	NOUN
cana-5550	113	6	of	of	ADP
cana-5550	113	7	the	the	DET
cana-5550	113	8	question	question	NOUN
cana-5550	113	9	pairings	pairing	NOUN
cana-5550	113	10	are	be	AUX
cana-5550	113	11	not	not	PART
cana-5550	113	12	similar	similar	ADJ
cana-5550	113	13	.	.	PUNCT
cana-5550	114	1	the	the	DET
cana-5550	114	2	similarity	similarity	NOUN
cana-5550	114	3	between	between	ADP
cana-5550	114	4	question	question	NOUN
cana-5550	114	5	pairs	pair	NOUN
cana-5550	114	6	is	be	AUX
cana-5550	114	7	36.92	36.92	NUM
cana-5550	114	8	%	%	NOUN
cana-5550	114	9	,	,	PUNCT
cana-5550	114	10	with	with	ADP
cana-5550	114	11	an	an	DET
cana-5550	114	12	is_duplicate	is_duplicate	ADJ
cana-5550	114	13	value	value	NOUN
cana-5550	114	14	of	of	ADP
cana-5550	114	15	1	1	NUM
cana-5550	114	16	.	.	PUNCT
cana-5550	115	1	a	a	DET
cana-5550	115	2	total	total	NOUN
cana-5550	115	3	of	of	ADP
cana-5550	115	4	53,933	53,933	NUM
cana-5550	115	5	unique	unique	ADJ
cana-5550	115	6	questions	question	NOUN
cana-5550	115	7	have	have	AUX
cana-5550	115	8	been	be	AUX
cana-5550	115	9	identified	identify	VERB
cana-5550	115	10	.	.	PUNCT
cana-5550	116	1	the	the	DET
cana-5550	116	2	quantity	quantity	NOUN
cana-5550	116	3	of	of	ADP
cana-5550	116	4	distinct	distinct	ADJ
cana-5550	116	5	inquiries	inquiry	NOUN
cana-5550	116	6	that	that	PRON
cana-5550	116	7	occur	occur	VERB
cana-5550	116	8	many	many	ADJ
cana-5550	116	9	times	time	NOUN
cana-5550	116	10	is	be	AUX
cana-5550	116	11	111780	111780	NUM
cana-5550	116	12	,	,	PUNCT
cana-5550	116	13	accounting	account	VERB
cana-5550	116	14	for	for	ADP
cana-5550	116	15	20.77953945937505	20.77953945937505	NUM
cana-5550	116	16	%	%	NOUN
cana-5550	116	17	of	of	ADP
cana-5550	116	18	the	the	DET
cana-5550	116	19	total	total	NOUN
cana-5550	116	20	.	.	PUNCT
cana-5550	117	1	no	no	DET
cana-5550	117	2	question	question	NOUN
cana-5550	117	3	was	be	AUX
cana-5550	117	4	asked	ask	VERB
cana-5550	117	5	twice	twice	ADV
cana-5550	117	6	in	in	ADP
cana-5550	117	7	the	the	DET
cana-5550	117	8	information	information	NOUN
cana-5550	117	9	.	.	PUNCT
cana-5550	118	1	the	the	DET
cana-5550	118	2	most	most	ADJ
cana-5550	118	3	times	time	NOUN
cana-5550	118	4	a	a	DET
cana-5550	118	5	single	single	ADJ
cana-5550	118	6	question	question	NOUN
cana-5550	118	7	appeared	appear	VERB
cana-5550	118	8	was	be	AUX
cana-5550	118	9	one	one	NUM
cana-5550	118	10	hundred	hundred	NUM
cana-5550	118	11	fifty	fifty	NUM
cana-5550	118	12	-	-	PUNCT
cana-5550	118	13	seven	seven	NUM
cana-5550	118	14	times	time	NOUN
cana-5550	118	15	.	.	PUNCT
cana-5550	119	1	fig	fig	PROPN
cana-5550	119	2	1	1	NUM
cana-5550	119	3	:	:	PUNCT
cana-5550	119	4	question	question	NOUN
cana-5550	119	5	2	2	NUM
cana-5550	119	6	has	have	VERB
cana-5550	119	7	two	two	NUM
cana-5550	119	8	rows	row	NOUN
cana-5550	119	9	without	without	ADP
cana-5550	119	10	data	datum	NOUN
cana-5550	119	11	,	,	PUNCT
cana-5550	119	12	whe­reas	whe­reas	PUNCT
cana-5550	119	13	question	question	NOUN
cana-5550	119	14	1	1	NUM
cana-5550	119	15	has	have	VERB
cana-5550	119	16	one	one	NUM
cana-5550	119	17	row	row	NOUN
cana-5550	119	18	lacking	lack	VERB
cana-5550	119	19	information	information	NOUN
cana-5550	119	20	.	.	PUNCT
cana-5550	120	1	the	the	DET
cana-5550	120	2	fields	field	NOUN
cana-5550	120	3	will	will	AUX
cana-5550	120	4	be	be	AUX
cana-5550	120	5	filled	fill	VERB
cana-5550	120	6	comple­tely	comple­tely	ADV
cana-5550	120	7	to	to	PART
cana-5550	120	8	guarantee	guarantee	VERB
cana-5550	120	9	consistency	consistency	NOUN
cana-5550	120	10	.	.	PUNCT
cana-5550	121	1	communications	communication	NOUN
cana-5550	121	2	on	on	ADP
cana-5550	121	3	applied	apply	VERB
cana-5550	121	4	nonlinear	nonlinear	ADJ
cana-5550	121	5	analysis	analysis	NOUN
cana-5550	121	6	issn	issn	NOUN
cana-5550	121	7	:	:	PUNCT
cana-5550	121	8	1074	1074	NUM
cana-5550	121	9	-	-	PUNCT
cana-5550	121	10	133x	133x	NUM
cana-5550	121	11	vol	vol	NOUN
cana-5550	121	12	32	32	NUM
cana-5550	121	13	no	no	NOUN
cana-5550	121	14	.	.	NOUN
cana-5550	121	15	3	3	NUM
cana-5550	121	16	(	(	PUNCT
cana-5550	121	17	2025	2025	NUM
cana-5550	121	18	)	)	PUNCT
cana-5550	121	19	1000	1000	NUM
cana-5550	121	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	121	21	4	4	NUM
cana-5550	121	22	.	.	PUNCT
cana-5550	121	23	proposed	propose	VERB
cana-5550	121	24	model	model	NOUN
cana-5550	121	25	the	the	DET
cana-5550	121	26	task	task	NOUN
cana-5550	121	27	at	at	ADP
cana-5550	121	28	hand	hand	NOUN
cana-5550	121	29	involves	involve	VERB
cana-5550	121	30	binary	binary	ADJ
cana-5550	121	31	classification	classification	NOUN
cana-5550	121	32	,	,	PUNCT
cana-5550	121	33	wherein	wherein	SCONJ
cana-5550	121	34	the	the	DET
cana-5550	121	35	authors	author	NOUN
cana-5550	121	36	must	must	AUX
cana-5550	121	37	ascertain	ascertain	VERB
cana-5550	121	38	if	if	SCONJ
cana-5550	121	39	a	a	DET
cana-5550	121	40	specific	specific	ADJ
cana-5550	121	41	pair	pair	NOUN
cana-5550	121	42	of	of	ADP
cana-5550	121	43	questions	question	NOUN
cana-5550	121	44	are	be	AUX
cana-5550	121	45	duplicates	duplicate	NOUN
cana-5550	121	46	or	or	CCONJ
cana-5550	121	47	not	not	PART
cana-5550	121	48	[	[	X
cana-5550	121	49	21	21	NUM
cana-5550	121	50	,	,	PUNCT
cana-5550	121	51	22	22	NUM
cana-5550	121	52	]	]	PUNCT
cana-5550	121	53	.	.	PUNCT
cana-5550	122	1	using	use	VERB
cana-5550	122	2	time	time	NOUN
cana-5550	122	3	periods	period	NOUN
cana-5550	122	4	to	to	PART
cana-5550	122	5	separate	separate	VERB
cana-5550	122	6	questions	question	NOUN
cana-5550	122	7	could	could	AUX
cana-5550	122	8	have	have	AUX
cana-5550	122	9	worked	work	VERB
cana-5550	122	10	better	well	ADV
cana-5550	122	11	at	at	ADP
cana-5550	122	12	grouping	group	VERB
cana-5550	122	13	que­stions	que­stion	NOUN
cana-5550	122	14	appropriately	appropriately	ADV
cana-5550	122	15	.	.	PUNCT
cana-5550	123	1	the	the	DET
cana-5550	123	2	nature	nature	NOUN
cana-5550	123	3	of	of	ADP
cana-5550	123	4	questions	question	NOUN
cana-5550	123	5	asked	ask	VERB
cana-5550	123	6	can	can	AUX
cana-5550	123	7	change	change	VERB
cana-5550	123	8	over	over	ADP
cana-5550	123	9	time	time	NOUN
cana-5550	123	10	,	,	PUNCT
cana-5550	123	11	so	so	CCONJ
cana-5550	123	12	splitting	split	VERB
cana-5550	123	13	them	they	PRON
cana-5550	123	14	based	base	VERB
cana-5550	123	15	on	on	ADP
cana-5550	123	16	when	when	SCONJ
cana-5550	123	17	they	they	PRON
cana-5550	123	18	were	be	AUX
cana-5550	123	19	received	receive	VERB
cana-5550	123	20	may	may	AUX
cana-5550	123	21	have	have	AUX
cana-5550	123	22	created	create	VERB
cana-5550	123	23	more	more	ADV
cana-5550	123	24	logical	logical	ADJ
cana-5550	123	25	divisions	division	NOUN
cana-5550	123	26	.	.	PUNCT
cana-5550	124	1	the	the	DET
cana-5550	124	2	authors	author	NOUN
cana-5550	124	3	will	will	AUX
cana-5550	124	4	create	create	VERB
cana-5550	124	5	training	training	NOUN
cana-5550	124	6	and	and	CCONJ
cana-5550	124	7	testing	testing	NOUN
cana-5550	124	8	datasets	dataset	NOUN
cana-5550	124	9	by	by	ADP
cana-5550	124	10	randomly	randomly	ADV
cana-5550	124	11	dividing	divide	VERB
cana-5550	124	12	points	point	NOUN
cana-5550	124	13	for	for	ADP
cana-5550	124	14	analysis	analysis	NOUN
cana-5550	124	15	,	,	PUNCT
cana-5550	124	16	as	as	SCONJ
cana-5550	124	17	quora	quora	NOUN
cana-5550	124	18	did	do	AUX
cana-5550	124	19	not	not	PART
cana-5550	124	20	provide	provide	VERB
cana-5550	124	21	timestamps	timestamp	NOUN
cana-5550	124	22	.	.	PUNCT
cana-5550	125	1	for	for	ADP
cana-5550	125	2	people	people	NOUN
cana-5550	125	3	who	who	PRON
cana-5550	125	4	do	do	AUX
cana-5550	125	5	not	not	PART
cana-5550	125	6	know	know	VERB
cana-5550	125	7	much	much	ADJ
cana-5550	125	8	about	about	ADP
cana-5550	125	9	splitting	splitting	NOUN
cana-5550	125	10	,	,	PUNCT
cana-5550	125	11	it	it	PRON
cana-5550	125	12	is	be	AUX
cana-5550	125	13	important	important	ADJ
cana-5550	125	14	to	to	PART
cana-5550	125	15	remember	remember	VERB
cana-5550	125	16	that	that	SCONJ
cana-5550	125	17	the	the	DET
cana-5550	125	18	train	train	NOUN
cana-5550	125	19	set	set	NOUN
cana-5550	125	20	teaches	teach	VERB
cana-5550	125	21	the	the	DET
cana-5550	125	22	models	model	NOUN
cana-5550	125	23	,	,	PUNCT
cana-5550	125	24	while	while	SCONJ
cana-5550	125	25	the	the	DET
cana-5550	125	26	test	test	NOUN
cana-5550	125	27	set	set	VERB
cana-5550	125	28	checks	check	NOUN
cana-5550	125	29	how	how	SCONJ
cana-5550	125	30	well	well	ADV
cana-5550	125	31	the	the	DET
cana-5550	125	32	models	model	NOUN
cana-5550	125	33	do	do	VERB
cana-5550	125	34	.	.	PUNCT
cana-5550	126	1	getting	get	VERB
cana-5550	126	2	data	datum	NOUN
cana-5550	126	3	ready	ready	ADJ
cana-5550	126	4	and	and	CCONJ
cana-5550	126	5	making	make	VERB
cana-5550	126	6	it	it	PRON
cana-5550	126	7	neat	neat	ADJ
cana-5550	126	8	is	be	AUX
cana-5550	126	9	a	a	DET
cana-5550	126	10	big	big	ADJ
cana-5550	126	11	deal	deal	NOUN
cana-5550	126	12	in	in	ADP
cana-5550	126	13	the	the	DET
cana-5550	126	14	technology	technology	NOUN
cana-5550	126	15	steps	step	NOUN
cana-5550	126	16	.	.	PUNCT
cana-5550	127	1	during	during	ADP
cana-5550	127	2	the	the	DET
cana-5550	127	3	data	data	NOUN
cana-5550	127	4	preprocessing	preprocessing	NOUN
cana-5550	127	5	phase	phase	NOUN
cana-5550	127	6	,	,	PUNCT
cana-5550	127	7	the	the	DET
cana-5550	127	8	writers	writer	NOUN
cana-5550	127	9	undertake	undertake	VERB
cana-5550	127	10	the	the	DET
cana-5550	127	11	task	task	NOUN
cana-5550	127	12	of	of	ADP
cana-5550	127	13	cleansing	cleanse	VERB
cana-5550	127	14	the	the	DET
cana-5550	127	15	data	datum	NOUN
cana-5550	127	16	for	for	ADP
cana-5550	127	17	each	each	DET
cana-5550	127	18	row	row	NOUN
cana-5550	127	19	.	.	PUNCT
cana-5550	128	1	through	through	ADP
cana-5550	128	2	multiple	multiple	ADJ
cana-5550	128	3	attempts	attempt	NOUN
cana-5550	128	4	and	and	CCONJ
cana-5550	128	5	versions	version	NOUN
cana-5550	128	6	,	,	PUNCT
cana-5550	128	7	the	the	DET
cana-5550	128	8	researchers	researcher	NOUN
cana-5550	128	9	discovered	discover	VERB
cana-5550	128	10	an	an	DET
cana-5550	128	11	effective	effective	ADJ
cana-5550	128	12	method	method	NOUN
cana-5550	128	13	for	for	ADP
cana-5550	128	14	organizing	organize	VERB
cana-5550	128	15	the	the	DET
cana-5550	128	16	information	information	NOUN
cana-5550	128	17	to	to	PART
cana-5550	128	18	enhance	enhance	VERB
cana-5550	128	19	how	how	SCONJ
cana-5550	128	20	well	well	ADV
cana-5550	128	21	a	a	DET
cana-5550	128	22	model	model	NOUN
cana-5550	128	23	worked	work	VERB
cana-5550	128	24	.	.	PUNCT
cana-5550	129	1	in	in	ADP
cana-5550	129	2	earlier	early	ADJ
cana-5550	129	3	analysis	analysis	NOUN
cana-5550	129	4	,	,	PUNCT
cana-5550	129	5	the	the	DET
cana-5550	129	6	team	team	NOUN
cana-5550	129	7	looked	look	VERB
cana-5550	129	8	for	for	ADP
cana-5550	129	9	repeated	repeat	VERB
cana-5550	129	10	rows	row	NOUN
cana-5550	129	11	in	in	ADP
cana-5550	129	12	the	the	DET
cana-5550	129	13	data	datum	NOUN
cana-5550	129	14	but	but	CCONJ
cana-5550	129	15	found	find	VERB
cana-5550	129	16	none	none	NOUN
cana-5550	129	17	.	.	PUNCT
cana-5550	130	1	the	the	DET
cana-5550	130	2	log	log	NOUN
cana-5550	130	3	loss	loss	NOUN
cana-5550	130	4	between	between	ADP
cana-5550	130	5	the	the	DET
cana-5550	130	6	expected	expect	VERB
cana-5550	130	7	and	and	CCONJ
cana-5550	130	8	actual	actual	ADJ
cana-5550	130	9	values	value	NOUN
cana-5550	130	10	is	be	AUX
cana-5550	130	11	used	use	VERB
cana-5550	130	12	by	by	ADP
cana-5550	130	13	the	the	DET
cana-5550	130	14	study	study	NOUN
cana-5550	130	15	to	to	PART
cana-5550	130	16	evaluate	evaluate	VERB
cana-5550	130	17	performance	performance	NOUN
cana-5550	130	18	.	.	PUNCT
cana-5550	131	1	it	it	PRON
cana-5550	131	2	used	use	VERB
cana-5550	131	3	a	a	DET
cana-5550	131	4	single	single	ADJ
cana-5550	131	5	classifier	classifier	NOUN
cana-5550	131	6	that	that	PRON
cana-5550	131	7	was	be	AUX
cana-5550	131	8	trained	train	VERB
cana-5550	131	9	for	for	ADP
cana-5550	131	10	an	an	DET
cana-5550	131	11	hour	hour	NOUN
cana-5550	131	12	and	and	CCONJ
cana-5550	131	13	produced	produce	VERB
cana-5550	131	14	a	a	DET
cana-5550	131	15	log	log	NOUN
cana-5550	131	16	loss	loss	NOUN
cana-5550	131	17	score	score	NOUN
cana-5550	131	18	of	of	ADP
cana-5550	131	19	0.30266	0.30266	NUM
cana-5550	131	20	by	by	ADP
cana-5550	131	21	implementing	implement	VERB
cana-5550	131	22	the	the	DET
cana-5550	131	23	siamese	siamese	ADJ
cana-5550	131	24	lstm	lstm	ADJ
cana-5550	131	25	structure	structure	NOUN
cana-5550	131	26	.	.	PUNCT
cana-5550	132	1	the	the	DET
cana-5550	132	2	authors	author	NOUN
cana-5550	132	3	aggregate	aggregate	VERB
cana-5550	132	4	the	the	DET
cana-5550	132	5	predictions	prediction	NOUN
cana-5550	132	6	of	of	ADP
cana-5550	132	7	ten	ten	NUM
cana-5550	132	8	classifiers	classifier	NOUN
cana-5550	132	9	i	i	PRON
cana-5550	132	10	to	to	PART
cana-5550	132	11	improve	improve	VERB
cana-5550	132	12	performance	performance	NOUN
cana-5550	132	13	,	,	PUNCT
cana-5550	132	14	bringing	bring	VERB
cana-5550	132	15	the	the	DET
cana-5550	132	16	log	log	NOUN
cana-5550	132	17	loss	loss	NOUN
cana-5550	132	18	below	below	ADP
cana-5550	132	19	0.28446	0.28446	NUM
cana-5550	132	20	.	.	PUNCT
cana-5550	133	1	such	such	DET
cana-5550	133	2	an	an	DET
cana-5550	133	3	achievement	achievement	NOUN
cana-5550	133	4	places	place	VERB
cana-5550	133	5	the	the	DET
cana-5550	133	6	study	study	NOUN
cana-5550	133	7	at	at	ADP
cana-5550	133	8	rank	rank	NOUN
cana-5550	133	9	136	136	NUM
cana-5550	133	10	out	out	ADP
cana-5550	133	11	of	of	ADP
cana-5550	133	12	1766	1766	NUM
cana-5550	133	13	participants	participant	NOUN
cana-5550	133	14	,	,	PUNCT
cana-5550	133	15	in	in	ADP
cana-5550	133	16	the	the	DET
cana-5550	133	17	top	top	ADJ
cana-5550	133	18	8	8	NUM
cana-5550	133	19	%	%	NOUN
cana-5550	133	20	.	.	PUNCT
cana-5550	134	1	4.1.history	4.1.history	NUM
cana-5550	134	2	pixel	pixel	NOUN
cana-5550	134	3	densities	density	NOUN
cana-5550	134	4	or	or	CCONJ
cana-5550	134	5	power	power	NOUN
cana-5550	134	6	spectral	spectral	ADJ
cana-5550	134	7	density	density	NOUN
cana-5550	134	8	coefficients	coefficient	NOUN
cana-5550	134	9	are	be	AUX
cana-5550	134	10	frequently	frequently	ADV
cana-5550	134	11	used	use	VERB
cana-5550	134	12	in	in	ADP
cana-5550	134	13	audio	audio	ADJ
cana-5550	134	14	and	and	CCONJ
cana-5550	134	15	image	image	NOUN
cana-5550	134	16	processing	processing	NOUN
cana-5550	134	17	systems	system	NOUN
cana-5550	134	18	for	for	ADP
cana-5550	134	19	model	model	NOUN
cana-5550	134	20	training	training	NOUN
cana-5550	134	21	.	.	PUNCT
cana-5550	135	1	these	these	PRON
cana-5550	135	2	are	be	AUX
cana-5550	135	3	condensed	condense	VERB
cana-5550	135	4	versions	version	NOUN
cana-5550	135	5	of	of	ADP
cana-5550	135	6	the	the	DET
cana-5550	135	7	original	original	ADJ
cana-5550	135	8	data	datum	NOUN
cana-5550	135	9	that	that	PRON
cana-5550	135	10	encompass	encompass	VERB
cana-5550	135	11	a	a	DET
cana-5550	135	12	vast	vast	ADJ
cana-5550	135	13	amount	amount	NOUN
cana-5550	135	14	of	of	ADP
cana-5550	135	15	information	information	NOUN
cana-5550	135	16	.	.	PUNCT
cana-5550	136	1	it	it	PRON
cana-5550	136	2	suggests	suggest	VERB
cana-5550	136	3	that	that	SCONJ
cana-5550	136	4	they	they	PRON
cana-5550	136	5	collect	collect	VERB
cana-5550	136	6	a	a	DET
cana-5550	136	7	significant	significant	ADJ
cana-5550	136	8	quantity	quantity	NOUN
cana-5550	136	9	of	of	ADP
cana-5550	136	10	initial	initial	ADJ
cana-5550	136	11	data	datum	NOUN
cana-5550	136	12	from	from	ADP
cana-5550	136	13	observations	observation	NOUN
cana-5550	136	14	and	and	CCONJ
cana-5550	136	15	input	input	VERB
cana-5550	136	16	it	it	PRON
cana-5550	136	17	into	into	ADP
cana-5550	136	18	the	the	DET
cana-5550	136	19	computer	computer	NOUN
cana-5550	136	20	to	to	PART
cana-5550	136	21	acquire	acquire	VERB
cana-5550	136	22	knowledge	knowledge	NOUN
cana-5550	136	23	.	.	PUNCT
cana-5550	137	1	however	however	ADV
cana-5550	137	2	,	,	PUNCT
cana-5550	137	3	accurately	accurately	ADV
cana-5550	137	4	portraying	portray	VERB
cana-5550	137	5	words	word	NOUN
cana-5550	137	6	in	in	ADP
cana-5550	137	7	a	a	DET
cana-5550	137	8	manner	manner	NOUN
cana-5550	137	9	that	that	PRON
cana-5550	137	10	encompasses	encompass	VERB
cana-5550	137	11	all	all	DET
cana-5550	137	12	the	the	DET
cana-5550	137	13	information	information	NOUN
cana-5550	137	14	is	be	AUX
cana-5550	137	15	not	not	PART
cana-5550	137	16	straightforward	straightforward	ADJ
cana-5550	137	17	.	.	PUNCT
cana-5550	138	1	previous	previous	ADJ
cana-5550	138	2	approaches	approach	NOUN
cana-5550	138	3	involved	involve	VERB
cana-5550	138	4	assigning	assign	VERB
cana-5550	138	5	distinct	distinct	ADJ
cana-5550	138	6	identifiers	identifier	NOUN
cana-5550	138	7	to	to	ADP
cana-5550	138	8	individual	individual	ADJ
cana-5550	138	9	words	word	NOUN
cana-5550	138	10	and	and	CCONJ
cana-5550	138	11	tallying	tally	VERB
cana-5550	138	12	the	the	DET
cana-5550	138	13	frequency	frequency	NOUN
cana-5550	138	14	of	of	ADP
cana-5550	138	15	each	each	DET
cana-5550	138	16	word	word	NOUN
cana-5550	138	17	in	in	ADP
cana-5550	138	18	a	a	DET
cana-5550	138	19	sentence	sentence	NOUN
cana-5550	138	20	,	,	PUNCT
cana-5550	138	21	as	as	SCONJ
cana-5550	138	22	depicted	depict	VERB
cana-5550	138	23	in	in	ADP
cana-5550	138	24	figure	figure	NOUN
cana-5550	138	25	1	1	NUM
cana-5550	138	26	.	.	PUNCT
cana-5550	139	1	essentially	essentially	ADV
cana-5550	139	2	,	,	PUNCT
cana-5550	139	3	"	"	PUNCT
cana-5550	139	4	lion	lion	NOUN
cana-5550	139	5	"	"	PUNCT
cana-5550	139	6	and	and	CCONJ
cana-5550	139	7	"	"	PUNCT
cana-5550	139	8	tiger	tiger	NOUN
cana-5550	139	9	"	"	PUNCT
cana-5550	139	10	are	be	AUX
cana-5550	139	11	simply	simply	ADV
cana-5550	139	12	sequences	sequence	NOUN
cana-5550	139	13	of	of	ADP
cana-5550	139	14	0	0	NUM
cana-5550	139	15	's	's	PART
cana-5550	139	16	and	and	CCONJ
cana-5550	139	17	1	1	NUM
cana-5550	139	18	's	's	PART
cana-5550	139	19	without	without	ADP
cana-5550	139	20	any	any	DET
cana-5550	139	21	additional	additional	ADJ
cana-5550	139	22	information	information	NOUN
cana-5550	139	23	that	that	PRON
cana-5550	139	24	a	a	DET
cana-5550	139	25	human	human	NOUN
cana-5550	139	26	could	could	AUX
cana-5550	139	27	deduce	deduce	VERB
cana-5550	139	28	from	from	ADP
cana-5550	139	29	reading	read	VERB
cana-5550	139	30	those	those	DET
cana-5550	139	31	words	word	NOUN
cana-5550	139	32	,	,	PUNCT
cana-5550	139	33	such	such	ADJ
cana-5550	139	34	as	as	ADP
cana-5550	139	35	both	both	PRON
cana-5550	139	36	being	be	AUX
cana-5550	139	37	cats	cat	NOUN
cana-5550	139	38	,	,	PUNCT
cana-5550	139	39	living	live	VERB
cana-5550	139	40	in	in	ADP
cana-5550	139	41	the	the	DET
cana-5550	139	42	wild	wild	NOUN
cana-5550	139	43	,	,	PUNCT
cana-5550	139	44	and	and	CCONJ
cana-5550	139	45	being	be	AUX
cana-5550	139	46	enormous	enormous	ADJ
cana-5550	139	47	animals	animal	NOUN
cana-5550	139	48	.	.	PUNCT
cana-5550	140	1	pre	pre	VERB
cana-5550	140	2	-	-	ADJ
cana-5550	140	3	trained	train	VERB
cana-5550	140	4	word	word	NOUN
cana-5550	140	5	vector	vector	NOUN
cana-5550	140	6	representations	representation	NOUN
cana-5550	140	7	have	have	AUX
cana-5550	140	8	been	be	AUX
cana-5550	140	9	found	find	VERB
cana-5550	140	10	to	to	PART
cana-5550	140	11	be	be	AUX
cana-5550	140	12	highly	highly	ADV
cana-5550	140	13	advantageous	advantageous	ADJ
cana-5550	140	14	for	for	ADP
cana-5550	140	15	tasks	task	NOUN
cana-5550	140	16	that	that	PRON
cana-5550	140	17	involve	involve	VERB
cana-5550	140	18	sentence	sentence	NOUN
cana-5550	140	19	-	-	PUNCT
cana-5550	140	20	level	level	NOUN
cana-5550	140	21	inference	inference	NOUN
cana-5550	140	22	,	,	PUNCT
cana-5550	140	23	as	as	SCONJ
cana-5550	140	24	demonstrated	demonstrate	VERB
cana-5550	140	25	by	by	ADP
cana-5550	140	26	bowman	bowman	PROPN
cana-5550	140	27	et	et	PROPN
cana-5550	140	28	al	al	PROPN
cana-5550	140	29	.	.	PROPN
cana-5550	141	1	(	(	PUNCT
cana-5550	141	2	2015	2015	NUM
cana-5550	141	3	)	)	PUNCT
cana-5550	141	4	and	and	CCONJ
cana-5550	141	5	williams	williams	PROPN
cana-5550	141	6	et	et	PROPN
cana-5550	141	7	al.(2018	al.(2018	NOUN
cana-5550	141	8	)	)	PUNCT
cana-5550	141	9	.	.	PUNCT
cana-5550	142	1	devlin	devlin	PROPN
cana-5550	142	2	et	et	PROPN
cana-5550	142	3	al	al	PROPN
cana-5550	142	4	.	.	PROPN
cana-5550	143	1	(	(	PUNCT
cana-5550	143	2	2018	2018	NUM
cana-5550	143	3	)	)	PUNCT
cana-5550	143	4	have	have	AUX
cana-5550	143	5	presented	present	VERB
cana-5550	143	6	two	two	NUM
cana-5550	143	7	approaches	approach	NOUN
cana-5550	143	8	for	for	ADP
cana-5550	143	9	exploiting	exploit	VERB
cana-5550	143	10	previously	previously	ADV
cana-5550	143	11	trained	train	VERB
cana-5550	143	12	language	language	NOUN
cana-5550	143	13	techniques	technique	NOUN
cana-5550	143	14	for	for	ADP
cana-5550	143	15	downstream	downstream	ADJ
cana-5550	143	16	nlp	nlp	NOUN
cana-5550	143	17	tasks	task	NOUN
cana-5550	143	18	:	:	PUNCT
cana-5550	143	19	feature	feature	NOUN
cana-5550	143	20	-	-	PUNCT
cana-5550	143	21	based	base	VERB
cana-5550	143	22	and	and	CCONJ
cana-5550	143	23	fine	fine	ADV
cana-5550	143	24	-	-	PUNCT
cana-5550	143	25	tuning	tuning	NOUN
cana-5550	143	26	.	.	PUNCT
cana-5550	144	1	feature	feature	NOUN
cana-5550	144	2	-	-	PUNCT
cana-5550	144	3	based	base	VERB
cana-5550	144	4	methods	method	NOUN
cana-5550	144	5	like	like	ADP
cana-5550	144	6	elmo	elmo	PROPN
cana-5550	144	7	employ	employ	VERB
cana-5550	144	8	pre	pre	ADJ
cana-5550	144	9	-	-	ADJ
cana-5550	144	10	trained	train	VERB
cana-5550	144	11	representations	representation	NOUN
cana-5550	144	12	as	as	ADP
cana-5550	144	13	features	feature	NOUN
cana-5550	144	14	for	for	ADP
cana-5550	144	15	nlp	nlp	NOUN
cana-5550	144	16	tasks	task	NOUN
cana-5550	144	17	,	,	PUNCT
cana-5550	144	18	whereas	whereas	SCONJ
cana-5550	144	19	finetuning	finetune	VERB
cana-5550	144	20	methods	method	NOUN
cana-5550	144	21	like	like	ADP
cana-5550	144	22	generative	generative	ADJ
cana-5550	144	23	pretrained	pretraine	VERB
cana-5550	144	24	transformer	transformer	NOUN
cana-5550	144	25	(	(	PUNCT
cana-5550	144	26	open	open	ADJ
cana-5550	144	27	ai	ai	NOUN
cana-5550	144	28	gpt	gpt	NOUN
cana-5550	144	29	)	)	PUNCT
cana-5550	144	30	modify	modify	VERB
cana-5550	144	31	pre	pre	ADJ
cana-5550	144	32	-	-	ADJ
cana-5550	144	33	trained	train	VERB
cana-5550	144	34	parameters	parameter	NOUN
cana-5550	144	35	by	by	ADP
cana-5550	144	36	potentially	potentially	ADV
cana-5550	144	37	incorporating	incorporate	VERB
cana-5550	144	38	an	an	DET
cana-5550	144	39	additional	additional	ADJ
cana-5550	144	40	output	output	NOUN
cana-5550	144	41	layer	layer	NOUN
cana-5550	144	42	.	.	PUNCT
cana-5550	145	1	the	the	DET
cana-5550	145	2	research	research	NOUN
cana-5550	145	3	will	will	AUX
cana-5550	145	4	utilize	utilize	VERB
cana-5550	145	5	a	a	DET
cana-5550	145	6	featurebased	featurebase	VERB
cana-5550	145	7	approach	approach	NOUN
cana-5550	145	8	with	with	ADP
cana-5550	145	9	the	the	DET
cana-5550	145	10	sophisticated	sophisticated	ADJ
cana-5550	145	11	bert	bert	PROPN
cana-5550	145	12	vector	vector	NOUN
cana-5550	145	13	representation	representation	NOUN
cana-5550	145	14	,	,	PUNCT
cana-5550	145	15	comparing	compare	VERB
cana-5550	145	16	it	it	PRON
cana-5550	145	17	to	to	ADP
cana-5550	145	18	the	the	DET
cana-5550	145	19	basic	basic	ADJ
cana-5550	145	20	glove	glove	NOUN
cana-5550	145	21	model	model	NOUN
cana-5550	145	22	.	.	PUNCT
cana-5550	146	1	communications	communication	NOUN
cana-5550	146	2	on	on	ADP
cana-5550	146	3	applied	apply	VERB
cana-5550	146	4	nonlinear	nonlinear	ADJ
cana-5550	146	5	analysis	analysis	NOUN
cana-5550	146	6	issn	issn	NOUN
cana-5550	146	7	:	:	PUNCT
cana-5550	146	8	1074	1074	NUM
cana-5550	146	9	-	-	PUNCT
cana-5550	146	10	133x	133x	NUM
cana-5550	146	11	vol	vol	NOUN
cana-5550	146	12	32	32	NUM
cana-5550	146	13	no	no	NOUN
cana-5550	146	14	.	.	NOUN
cana-5550	146	15	3	3	NUM
cana-5550	146	16	(	(	PUNCT
cana-5550	146	17	2025	2025	NUM
cana-5550	146	18	)	)	PUNCT
cana-5550	146	19	1001	1001	NUM
cana-5550	146	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	146	21	4.2.long	4.2.long	NUM
cana-5550	146	22	short	short	ADJ
cana-5550	146	23	-	-	PUNCT
cana-5550	146	24	term	term	NOUN
cana-5550	146	25	memory	memory	NOUN
cana-5550	146	26	(	(	PUNCT
cana-5550	146	27	lstm	lstm	NOUN
cana-5550	146	28	)	)	PUNCT
cana-5550	146	29	as	as	ADP
cana-5550	146	30	a	a	DET
cana-5550	146	31	special	special	ADJ
cana-5550	146	32	type	type	NOUN
cana-5550	146	33	of	of	ADP
cana-5550	146	34	recurrent	recurrent	ADJ
cana-5550	146	35	neural	neural	ADJ
cana-5550	146	36	network	network	NOUN
cana-5550	146	37	(	(	PUNCT
cana-5550	146	38	rnn	rnn	PROPN
cana-5550	146	39	)	)	PUNCT
cana-5550	146	40	,	,	PUNCT
cana-5550	146	41	long	long	ADJ
cana-5550	146	42	short	short	ADJ
cana-5550	146	43	-	-	PUNCT
cana-5550	146	44	term	term	NOUN
cana-5550	146	45	memory	memory	NOUN
cana-5550	146	46	(	(	PUNCT
cana-5550	146	47	lstm	lstm	NOUN
cana-5550	146	48	)	)	PUNCT
cana-5550	146	49	networks	network	NOUN
cana-5550	146	50	are	be	AUX
cana-5550	146	51	made	make	VERB
cana-5550	146	52	to	to	PART
cana-5550	146	53	handle	handle	VERB
cana-5550	146	54	data	datum	NOUN
cana-5550	146	55	sequences	sequence	NOUN
cana-5550	146	56	,	,	PUNCT
cana-5550	146	57	like	like	ADP
cana-5550	146	58	natural	natural	ADJ
cana-5550	146	59	language	language	NOUN
cana-5550	146	60	or	or	CCONJ
cana-5550	146	61	time	time	NOUN
cana-5550	146	62	series	series	NOUN
cana-5550	146	63	.	.	PUNCT
cana-5550	147	1	they	they	PRON
cana-5550	147	2	work	work	VERB
cana-5550	147	3	great	great	ADJ
cana-5550	147	4	for	for	ADP
cana-5550	147	5	tasks	task	NOUN
cana-5550	147	6	that	that	PRON
cana-5550	147	7	need	need	VERB
cana-5550	147	8	understanding	understanding	NOUN
cana-5550	147	9	of	of	ADP
cana-5550	147	10	context	context	NOUN
cana-5550	147	11	across	across	ADP
cana-5550	147	12	time	time	NOUN
cana-5550	147	13	,	,	PUNCT
cana-5550	147	14	like	like	ADP
cana-5550	147	15	language	language	NOUN
cana-5550	147	16	translation	translation	NOUN
cana-5550	147	17	,	,	PUNCT
cana-5550	147	18	speech	speech	NOUN
cana-5550	147	19	recognition	recognition	NOUN
cana-5550	147	20	,	,	PUNCT
cana-5550	147	21	and	and	CCONJ
cana-5550	147	22	time	time	NOUN
cana-5550	147	23	-	-	PUNCT
cana-5550	147	24	series	series	NOUN
cana-5550	147	25	forecasting	forecasting	NOUN
cana-5550	147	26	.	.	PUNCT
cana-5550	148	1	this	this	PRON
cana-5550	148	2	is	be	AUX
cana-5550	148	3	because	because	SCONJ
cana-5550	148	4	of	of	ADP
cana-5550	148	5	their	their	PRON
cana-5550	148	6	unique	unique	ADJ
cana-5550	148	7	design	design	NOUN
cana-5550	148	8	,	,	PUNCT
cana-5550	148	9	which	which	PRON
cana-5550	148	10	lets	let	VERB
cana-5550	148	11	them	they	PRON
cana-5550	148	12	hold	hold	VERB
cana-5550	148	13	on	on	ADP
cana-5550	148	14	to	to	ADP
cana-5550	148	15	information	information	NOUN
cana-5550	148	16	for	for	ADP
cana-5550	148	17	a	a	DET
cana-5550	148	18	long	long	ADJ
cana-5550	148	19	time	time	NOUN
cana-5550	148	20	.	.	PUNCT
cana-5550	149	1	the	the	DET
cana-5550	149	2	ability	ability	NOUN
cana-5550	149	3	of	of	ADP
cana-5550	149	4	lstms	lstms	NOUN
cana-5550	149	5	to	to	PART
cana-5550	149	6	effectively	effectively	ADV
cana-5550	149	7	handle	handle	VERB
cana-5550	149	8	long	long	ADJ
cana-5550	149	9	-	-	PUNCT
cana-5550	149	10	term	term	NOUN
cana-5550	149	11	dependencies	dependency	NOUN
cana-5550	149	12	is	be	AUX
cana-5550	149	13	largely	largely	ADV
cana-5550	149	14	due	due	ADJ
cana-5550	149	15	to	to	ADP
cana-5550	149	16	their	their	PRON
cana-5550	149	17	specialized	specialized	ADJ
cana-5550	149	18	structure	structure	NOUN
cana-5550	149	19	,	,	PUNCT
cana-5550	149	20	which	which	PRON
cana-5550	149	21	includes	include	VERB
cana-5550	149	22	:	:	PUNCT
cana-5550	149	23	memory	memory	NOUN
cana-5550	149	24	cells	cell	NOUN
cana-5550	149	25	:	:	PUNCT
cana-5550	149	26	core	core	NOUN
cana-5550	149	27	components	component	NOUN
cana-5550	149	28	that	that	PRON
cana-5550	149	29	store	store	VERB
cana-5550	149	30	the	the	DET
cana-5550	149	31	information	information	NOUN
cana-5550	149	32	within	within	ADP
cana-5550	149	33	the	the	DET
cana-5550	149	34	network	network	NOUN
cana-5550	149	35	over	over	ADP
cana-5550	149	36	long	long	ADJ
cana-5550	149	37	periods	period	NOUN
cana-5550	149	38	.	.	PUNCT
cana-5550	150	1	gates	gate	NOUN
cana-5550	150	2	:	:	PUNCT
cana-5550	150	3	these	these	DET
cana-5550	150	4	gates	gate	NOUN
cana-5550	150	5	,	,	PUNCT
cana-5550	150	6	which	which	PRON
cana-5550	150	7	include	include	VERB
cana-5550	150	8	input	input	NOUN
cana-5550	150	9	,	,	PUNCT
cana-5550	150	10	forget	forget	VERB
cana-5550	150	11	,	,	PUNCT
cana-5550	150	12	as	as	ADV
cana-5550	150	13	well	well	ADV
cana-5550	150	14	as	as	ADP
cana-5550	150	15	output	output	NOUN
cana-5550	150	16	gates	gate	NOUN
cana-5550	150	17	,	,	PUNCT
cana-5550	150	18	control	control	VERB
cana-5550	150	19	the	the	DET
cana-5550	150	20	transmission	transmission	NOUN
cana-5550	150	21	of	of	ADP
cana-5550	150	22	information	information	NOUN
cana-5550	150	23	by	by	ADP
cana-5550	150	24	determining	determine	VERB
cana-5550	150	25	what	what	PRON
cana-5550	150	26	to	to	PART
cana-5550	150	27	keep	keep	VERB
cana-5550	150	28	or	or	CCONJ
cana-5550	150	29	eliminate	eliminate	VERB
cana-5550	150	30	.	.	PUNCT
cana-5550	151	1	this	this	PRON
cana-5550	151	2	allows	allow	VERB
cana-5550	151	3	for	for	ADP
cana-5550	151	4	dynamic	dynamic	ADJ
cana-5550	151	5	learning	learning	NOUN
cana-5550	151	6	and	and	CCONJ
cana-5550	151	7	memory	memory	NOUN
cana-5550	151	8	management	management	NOUN
cana-5550	151	9	.	.	PUNCT
cana-5550	152	1	feedback	feedback	NOUN
cana-5550	152	2	connections	connection	NOUN
cana-5550	152	3	:	:	PUNCT
cana-5550	152	4	unlike	unlike	ADP
cana-5550	152	5	feed	feed	NOUN
cana-5550	152	6	forward	forward	ADV
cana-5550	152	7	neural	neural	ADJ
cana-5550	152	8	networks	network	NOUN
cana-5550	152	9	,	,	PUNCT
cana-5550	152	10	lstms	lstms	NOUN
cana-5550	152	11	have	have	VERB
cana-5550	152	12	loops	loop	NOUN
cana-5550	152	13	allowing	allow	VERB
cana-5550	152	14	information	information	NOUN
cana-5550	152	15	to	to	PART
cana-5550	152	16	flow	flow	VERB
cana-5550	152	17	from	from	ADP
cana-5550	152	18	later	later	ADJ
cana-5550	152	19	stages	stage	NOUN
cana-5550	152	20	back	back	ADV
cana-5550	152	21	to	to	ADP
cana-5550	152	22	earlier	early	ADJ
cana-5550	152	23	stages	stage	NOUN
cana-5550	152	24	,	,	PUNCT
cana-5550	152	25	facilitating	facilitate	VERB
cana-5550	152	26	the	the	DET
cana-5550	152	27	processing	processing	NOUN
cana-5550	152	28	of	of	ADP
cana-5550	152	29	entire	entire	ADJ
cana-5550	152	30	data	datum	NOUN
cana-5550	152	31	sequences	sequence	NOUN
cana-5550	152	32	.	.	PUNCT
cana-5550	153	1	the	the	DET
cana-5550	153	2	structure	structure	NOUN
cana-5550	153	3	not	not	PART
cana-5550	153	4	only	only	ADV
cana-5550	153	5	allows	allow	VERB
cana-5550	153	6	lstms	lstms	ADJ
cana-5550	153	7	to	to	PART
cana-5550	153	8	retain	retain	VERB
cana-5550	153	9	information	information	NOUN
cana-5550	153	10	over	over	ADP
cana-5550	153	11	longer	long	ADJ
cana-5550	153	12	sequences	sequence	NOUN
cana-5550	153	13	than	than	ADP
cana-5550	153	14	traditional	traditional	ADJ
cana-5550	153	15	rnns	rnn	NOUN
cana-5550	153	16	but	but	CCONJ
cana-5550	153	17	also	also	ADV
cana-5550	153	18	helps	help	VERB
cana-5550	153	19	in	in	ADP
cana-5550	153	20	overcoming	overcome	VERB
cana-5550	153	21	challenges	challenge	NOUN
cana-5550	153	22	like	like	ADP
cana-5550	153	23	the	the	DET
cana-5550	153	24	vanishing	vanish	VERB
cana-5550	153	25	gradient	gradient	NOUN
cana-5550	153	26	problem	problem	NOUN
cana-5550	153	27	,	,	PUNCT
cana-5550	153	28	enhancing	enhance	VERB
cana-5550	153	29	their	their	PRON
cana-5550	153	30	ability	ability	NOUN
cana-5550	153	31	to	to	PART
cana-5550	153	32	learn	learn	VERB
cana-5550	153	33	from	from	ADP
cana-5550	153	34	data	datum	NOUN
cana-5550	153	35	with	with	ADP
cana-5550	153	36	long	long	ADJ
cana-5550	153	37	-	-	PUNCT
cana-5550	153	38	range	range	NOUN
cana-5550	153	39	temporal	temporal	ADJ
cana-5550	153	40	dependencies	dependency	NOUN
cana-5550	153	41	.	.	PUNCT
cana-5550	154	1	show	show	VERB
cana-5550	154	2	that	that	SCONJ
cana-5550	154	3	the	the	DET
cana-5550	154	4	fig	fig	NOUN
cana-5550	154	5	2	2	NUM
cana-5550	154	6	,	,	PUNCT
cana-5550	154	7	fig	fig	NOUN
cana-5550	154	8	2	2	NUM
cana-5550	154	9	:	:	PUNCT
cana-5550	154	10	schematic	schematic	ADJ
cana-5550	154	11	representation	representation	NOUN
cana-5550	154	12	of	of	ADP
cana-5550	154	13	long	long	ADJ
cana-5550	154	14	short	short	ADJ
cana-5550	154	15	-	-	PUNCT
cana-5550	154	16	term	term	NOUN
cana-5550	154	17	memory	memory	NOUN
cana-5550	154	18	(	(	PUNCT
cana-5550	154	19	lstm	lstm	NOUN
cana-5550	154	20	)	)	PUNCT
cana-5550	154	21	,	,	PUNCT
cana-5550	154	22	4.3siamese	4.3siamese	NUM
cana-5550	154	23	neural	neural	ADJ
cana-5550	154	24	network	network	NOUN
cana-5550	154	25	siamese	siamese	ADJ
cana-5550	154	26	networks	network	NOUN
cana-5550	154	27	represent	represent	VERB
cana-5550	154	28	a	a	DET
cana-5550	154	29	unique	unique	ADJ
cana-5550	154	30	category	category	NOUN
cana-5550	154	31	of	of	ADP
cana-5550	154	32	neural	neural	ADJ
cana-5550	154	33	network	network	NOUN
cana-5550	154	34	architecture	architecture	NOUN
cana-5550	154	35	designed	design	VERB
cana-5550	154	36	for	for	ADP
cana-5550	154	37	assessing	assess	VERB
cana-5550	154	38	the	the	DET
cana-5550	154	39	similarity	similarity	NOUN
cana-5550	154	40	between	between	ADP
cana-5550	154	41	two	two	NUM
cana-5550	154	42	input	input	NOUN
cana-5550	154	43	vectors	vector	NOUN
cana-5550	154	44	.	.	PUNCT
cana-5550	155	1	unlike	unlike	ADP
cana-5550	155	2	conventional	conventional	ADJ
cana-5550	155	3	neural	neural	ADJ
cana-5550	155	4	networks	network	NOUN
cana-5550	155	5	that	that	PRON
cana-5550	155	6	categorize	categorize	VERB
cana-5550	155	7	inputs	input	NOUN
cana-5550	155	8	,	,	PUNCT
cana-5550	155	9	siamese	siamese	ADJ
cana-5550	155	10	networks	network	NOUN
cana-5550	155	11	excel	excel	VERB
cana-5550	155	12	in	in	ADP
cana-5550	155	13	comparing	compare	VERB
cana-5550	155	14	pairs	pair	NOUN
cana-5550	155	15	of	of	ADP
cana-5550	155	16	inputs	input	NOUN
cana-5550	155	17	to	to	PART
cana-5550	155	18	determine	determine	VERB
cana-5550	155	19	their	their	PRON
cana-5550	155	20	similarity	similarity	NOUN
cana-5550	155	21	or	or	CCONJ
cana-5550	155	22	dissimilarity	dissimilarity	NOUN
cana-5550	155	23	.	.	PUNCT
cana-5550	156	1	such	such	ADJ
cana-5550	156	2	capability	capability	NOUN
cana-5550	156	3	is	be	AUX
cana-5550	156	4	particularly	particularly	ADV
cana-5550	156	5	beneficial	beneficial	ADJ
cana-5550	156	6	in	in	ADP
cana-5550	156	7	fields	field	NOUN
cana-5550	156	8	like	like	ADP
cana-5550	156	9	face	face	NOUN
cana-5550	156	10	recognition	recognition	NOUN
cana-5550	156	11	,	,	PUNCT
cana-5550	156	12	signature	signature	NOUN
cana-5550	156	13	verification	verification	NOUN
cana-5550	156	14	,	,	PUNCT
cana-5550	156	15	and	and	CCONJ
cana-5550	156	16	anomaly	anomaly	NOUN
cana-5550	156	17	detection	detection	NOUN
cana-5550	156	18	,	,	PUNCT
cana-5550	156	19	where	where	SCONJ
cana-5550	156	20	the	the	DET
cana-5550	156	21	primary	primary	ADJ
cana-5550	156	22	objective	objective	NOUN
cana-5550	156	23	is	be	AUX
cana-5550	156	24	to	to	PART
cana-5550	156	25	discern	discern	VERB
cana-5550	156	26	whether	whether	SCONJ
cana-5550	156	27	two	two	NUM
cana-5550	156	28	inputs	input	NOUN
cana-5550	156	29	match	match	VERB
cana-5550	156	30	or	or	CCONJ
cana-5550	156	31	differ	differ	VERB
cana-5550	156	32	.	.	PUNCT
cana-5550	157	1	key	key	ADJ
cana-5550	157	2	features	feature	NOUN
cana-5550	157	3	and	and	CCONJ
cana-5550	157	4	training	training	NOUN
cana-5550	157	5	aspects	aspect	NOUN
cana-5550	157	6	of	of	ADP
cana-5550	157	7	siamese	siamese	ADJ
cana-5550	157	8	networks	network	NOUN
cana-5550	157	9	include	include	VERB
cana-5550	157	10	:	:	PUNCT
cana-5550	157	11	communications	communication	NOUN
cana-5550	157	12	on	on	ADP
cana-5550	157	13	applied	apply	VERB
cana-5550	157	14	nonlinear	nonlinear	ADJ
cana-5550	157	15	analysis	analysis	NOUN
cana-5550	157	16	issn	issn	NOUN
cana-5550	157	17	:	:	PUNCT
cana-5550	157	18	1074	1074	NUM
cana-5550	157	19	-	-	PUNCT
cana-5550	157	20	133x	133x	NUM
cana-5550	157	21	vol	vol	NOUN
cana-5550	157	22	32	32	NUM
cana-5550	157	23	no	no	NOUN
cana-5550	157	24	.	.	NOUN
cana-5550	157	25	3	3	NUM
cana-5550	157	26	(	(	PUNCT
cana-5550	157	27	2025	2025	NUM
cana-5550	157	28	)	)	PUNCT
cana-5550	157	29	1002	1002	NUM
cana-5550	157	30	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	157	31	twin	twin	ADJ
cana-5550	157	32	architecture	architecture	NOUN
cana-5550	157	33	:	:	PUNCT
cana-5550	157	34	comprising	comprise	VERB
cana-5550	157	35	two	two	NUM
cana-5550	157	36	identical	identical	ADJ
cana-5550	157	37	subnetworks	subnetwork	NOUN
cana-5550	157	38	that	that	PRON
cana-5550	157	39	process	process	VERB
cana-5550	157	40	separate	separate	ADJ
cana-5550	157	41	input	input	NOUN
cana-5550	157	42	vectors	vector	NOUN
cana-5550	157	43	.	.	PUNCT
cana-5550	158	1	the	the	DET
cana-5550	158	2	subnetworks	subnetwork	NOUN
cana-5550	158	3	share	share	VERB
cana-5550	158	4	parameters	parameter	NOUN
cana-5550	158	5	,	,	PUNCT
cana-5550	158	6	ensuring	ensure	VERB
cana-5550	158	7	consistent	consistent	ADJ
cana-5550	158	8	feature	feature	NOUN
cana-5550	158	9	extraction	extraction	NOUN
cana-5550	158	10	across	across	ADP
cana-5550	158	11	inputs	input	NOUN
cana-5550	158	12	.	.	PUNCT
cana-5550	159	1	shared	share	VERB
cana-5550	159	2	parameters	parameter	NOUN
cana-5550	159	3	:	:	PUNCT
cana-5550	159	4	both	both	DET
cana-5550	159	5	subnetworks	subnetwork	NOUN
cana-5550	159	6	use	use	VERB
cana-5550	159	7	the	the	DET
cana-5550	159	8	same	same	ADJ
cana-5550	159	9	weights	weight	NOUN
cana-5550	159	10	,	,	PUNCT
cana-5550	159	11	enabling	enable	VERB
cana-5550	159	12	uniform	uniform	ADJ
cana-5550	159	13	feature	feature	NOUN
cana-5550	159	14	extraction	extraction	NOUN
cana-5550	159	15	and	and	CCONJ
cana-5550	159	16	making	make	VERB
cana-5550	159	17	the	the	DET
cana-5550	159	18	network	network	NOUN
cana-5550	159	19	adept	adept	ADJ
cana-5550	159	20	at	at	ADP
cana-5550	159	21	comparing	compare	VERB
cana-5550	159	22	similarities	similarity	NOUN
cana-5550	159	23	.	.	PUNCT
cana-5550	160	1	metric	metric	ADJ
cana-5550	160	2	or	or	CCONJ
cana-5550	160	3	contrastive	contrastive	ADJ
cana-5550	160	4	loss	loss	NOUN
cana-5550	160	5	function	function	NOUN
cana-5550	160	6	:	:	PUNCT
cana-5550	160	7	the	the	DET
cana-5550	160	8	outputs	output	NOUN
cana-5550	160	9	from	from	ADP
cana-5550	160	10	the	the	DET
cana-5550	160	11	subnetworks	subnetwork	NOUN
cana-5550	160	12	are	be	AUX
cana-5550	160	13	evaluated	evaluate	VERB
cana-5550	160	14	using	use	VERB
cana-5550	160	15	a	a	DET
cana-5550	160	16	metric	metric	ADJ
cana-5550	160	17	or	or	CCONJ
cana-5550	160	18	contrastive	contrastive	ADJ
cana-5550	160	19	loss	loss	NOUN
cana-5550	160	20	function	function	NOUN
cana-5550	160	21	to	to	PART
cana-5550	160	22	ascertain	ascertain	VERB
cana-5550	160	23	the	the	DET
cana-5550	160	24	inputs	input	NOUN
cana-5550	160	25	'	'	PART
cana-5550	160	26	similarity	similarity	NOUN
cana-5550	160	27	or	or	CCONJ
cana-5550	160	28	dissimilarity	dissimilarity	NOUN
cana-5550	160	29	.	.	PUNCT
cana-5550	161	1	training	training	NOUN
cana-5550	161	2	on	on	ADP
cana-5550	161	3	pairs	pair	NOUN
cana-5550	161	4	:	:	PUNCT
cana-5550	161	5	siamese	siamese	ADJ
cana-5550	161	6	networks	network	NOUN
cana-5550	161	7	are	be	AUX
cana-5550	161	8	trained	train	VERB
cana-5550	161	9	with	with	ADP
cana-5550	161	10	input	input	NOUN
cana-5550	161	11	pairs	pair	NOUN
cana-5550	161	12	and	and	CCONJ
cana-5550	161	13	a	a	DET
cana-5550	161	14	label	label	NOUN
cana-5550	161	15	indicating	indicate	VERB
cana-5550	161	16	their	their	PRON
cana-5550	161	17	similarity	similarity	NOUN
cana-5550	161	18	status	status	NOUN
cana-5550	161	19	,	,	PUNCT
cana-5550	161	20	teaching	teach	VERB
cana-5550	161	21	the	the	DET
cana-5550	161	22	network	network	NOUN
cana-5550	161	23	to	to	PART
cana-5550	161	24	distinguish	distinguish	VERB
cana-5550	161	25	among	among	ADP
cana-5550	161	26	similar	similar	ADJ
cana-5550	161	27	and	and	CCONJ
cana-5550	161	28	dissimilar	dissimilar	ADJ
cana-5550	161	29	pairs	pair	NOUN
cana-5550	161	30	effectively	effectively	ADV
cana-5550	161	31	.	.	PUNCT
cana-5550	162	1	objective	objective	NOUN
cana-5550	162	2	of	of	ADP
cana-5550	162	3	training	training	NOUN
cana-5550	162	4	:	:	PUNCT
cana-5550	162	5	the	the	DET
cana-5550	162	6	aim	aim	NOUN
cana-5550	162	7	of	of	ADP
cana-5550	162	8	the	the	DET
cana-5550	162	9	training	training	NOUN
cana-5550	162	10	procedure	procedure	NOUN
cana-5550	162	11	is	be	AUX
cana-5550	162	12	to	to	PART
cana-5550	162	13	improve	improve	VERB
cana-5550	162	14	the	the	DET
cana-5550	162	15	gap	gap	NOUN
cana-5550	162	16	between	between	ADP
cana-5550	162	17	dissimilar	dissimilar	ADJ
cana-5550	162	18	pairs	pair	NOUN
cana-5550	162	19	and	and	CCONJ
cana-5550	162	20	reduce	reduce	VERB
cana-5550	162	21	the	the	DET
cana-5550	162	22	gap	gap	NOUN
cana-5550	162	23	between	between	ADP
cana-5550	162	24	similar	similar	ADJ
cana-5550	162	25	ones	one	NOUN
cana-5550	162	26	.	.	PUNCT
cana-5550	163	1	this	this	PRON
cana-5550	163	2	promotes	promote	VERB
cana-5550	163	3	the	the	DET
cana-5550	163	4	creation	creation	NOUN
cana-5550	163	5	of	of	ADP
cana-5550	163	6	input	input	NOUN
cana-5550	163	7	data	datum	NOUN
cana-5550	163	8	representations	representation	NOUN
cana-5550	163	9	that	that	PRON
cana-5550	163	10	emphasize	emphasize	VERB
cana-5550	163	11	attributes	attribute	NOUN
cana-5550	163	12	that	that	PRON
cana-5550	163	13	are	be	AUX
cana-5550	163	14	relevant	relevant	ADJ
cana-5550	163	15	to	to	AUX
cana-5550	163	16	similarity	similarity	VERB
cana-5550	163	17	.	.	PUNCT
cana-5550	164	1	through	through	ADP
cana-5550	164	2	the	the	DET
cana-5550	164	3	structured	structured	ADJ
cana-5550	164	4	approach	approach	NOUN
cana-5550	164	5	,	,	PUNCT
cana-5550	164	6	siamese	siamese	ADJ
cana-5550	164	7	networks	network	NOUN
cana-5550	164	8	are	be	AUX
cana-5550	164	9	adept	adept	ADJ
cana-5550	164	10	at	at	ADP
cana-5550	164	11	learning	learn	VERB
cana-5550	164	12	and	and	CCONJ
cana-5550	164	13	determining	determine	VERB
cana-5550	164	14	the	the	DET
cana-5550	164	15	nuances	nuance	NOUN
cana-5550	164	16	of	of	ADP
cana-5550	164	17	similarity	similarity	NOUN
cana-5550	164	18	between	between	ADP
cana-5550	164	19	inputs	input	NOUN
cana-5550	164	20	,	,	PUNCT
cana-5550	164	21	making	make	VERB
cana-5550	164	22	them	they	PRON
cana-5550	164	23	a	a	DET
cana-5550	164	24	powerful	powerful	ADJ
cana-5550	164	25	tool	tool	NOUN
cana-5550	164	26	in	in	ADP
cana-5550	164	27	applications	application	NOUN
cana-5550	164	28	requiring	require	VERB
cana-5550	164	29	precise	precise	ADJ
cana-5550	164	30	similarity	similarity	NOUN
cana-5550	164	31	assessments	assessment	NOUN
cana-5550	164	32	.	.	PUNCT
cana-5550	165	1	show	show	VERB
cana-5550	165	2	that	that	SCONJ
cana-5550	165	3	the	the	DET
cana-5550	165	4	fig	fig	NOUN
cana-5550	165	5	3	3	NUM
cana-5550	165	6	,	,	PUNCT
cana-5550	165	7	fig3	fig3	NOUN
cana-5550	165	8	:	:	PUNCT
cana-5550	165	9	diagram	diagram	NOUN
cana-5550	165	10	of	of	ADP
cana-5550	165	11	a	a	DET
cana-5550	165	12	siamese	siamese	ADJ
cana-5550	165	13	neural	neural	ADJ
cana-5550	165	14	network	network	NOUN
cana-5550	165	15	architecture	architecture	NOUN
cana-5550	165	16	.	.	PUNCT
cana-5550	166	1	this	this	DET
cana-5550	166	2	type	type	NOUN
cana-5550	166	3	of	of	ADP
cana-5550	166	4	network	network	NOUN
cana-5550	166	5	is	be	AUX
cana-5550	166	6	designed	design	VERB
cana-5550	166	7	to	to	PART
cana-5550	166	8	process	process	VERB
cana-5550	166	9	two	two	NUM
cana-5550	166	10	separate	separate	ADJ
cana-5550	166	11	inputs	input	NOUN
cana-5550	166	12	simultaneously	simultaneously	ADV
cana-5550	166	13	and	and	CCONJ
cana-5550	166	14	compare	compare	VERB
cana-5550	166	15	them	they	PRON
cana-5550	166	16	.	.	PUNCT
cana-5550	167	1	5	5	X
cana-5550	167	2	.	.	X
cana-5550	167	3	methodology	methodology	NOUN
cana-5550	167	4	in	in	ADP
cana-5550	167	5	this	this	DET
cana-5550	167	6	investigation	investigation	NOUN
cana-5550	168	1	,	,	PUNCT
cana-5550	168	2	the	the	DET
cana-5550	168	3	authors	author	NOUN
cana-5550	168	4	will	will	AUX
cana-5550	168	5	utilize	utilize	VERB
cana-5550	168	6	both	both	DET
cana-5550	168	7	fundamental	fundamental	ADJ
cana-5550	168	8	and	and	CCONJ
cana-5550	168	9	advanced	advanced	ADJ
cana-5550	168	10	exploratory	exploratory	ADJ
cana-5550	168	11	data	datum	NOUN
cana-5550	168	12	analysis	analysis	NOUN
cana-5550	168	13	approaches	approach	NOUN
cana-5550	168	14	to	to	PART
cana-5550	168	15	examine	examine	VERB
cana-5550	168	16	the	the	DET
cana-5550	168	17	data	datum	NOUN
cana-5550	168	18	.	.	PUNCT
cana-5550	169	1	the	the	DET
cana-5550	169	2	distribution	distribution	NOUN
cana-5550	169	3	of	of	ADP
cana-5550	169	4	courses	course	NOUN
cana-5550	169	5	is	be	AUX
cana-5550	169	6	not	not	PART
cana-5550	169	7	entirely	entirely	ADV
cana-5550	169	8	equitable	equitable	ADJ
cana-5550	169	9	,	,	PUNCT
cana-5550	169	10	yet	yet	CCONJ
cana-5550	169	11	it	it	PRON
cana-5550	169	12	remains	remain	VERB
cana-5550	169	13	feasible	feasible	ADJ
cana-5550	169	14	.	.	PUNCT
cana-5550	170	1	•	•	NUM
cana-5550	170	2	the	the	DET
cana-5550	170	3	training	training	NOUN
cana-5550	170	4	dataset	dataset	NOUN
cana-5550	170	5	comprises	comprise	NOUN
cana-5550	170	6	of	of	ADP
cana-5550	170	7	404,290	404,290	NUM
cana-5550	170	8	question	question	NOUN
cana-5550	170	9	pairs	pair	NOUN
cana-5550	170	10	.	.	PUNCT
cana-5550	171	1	•	•	NUM
cana-5550	171	2	the	the	DET
cana-5550	171	3	non	non	NOUN
cana-5550	171	4	-	-	NOUN
cana-5550	171	5	similarity	similarity	NOUN
cana-5550	171	6	of	of	ADP
cana-5550	171	7	question	question	NOUN
cana-5550	171	8	pairs	pair	NOUN
cana-5550	171	9	(	(	PUNCT
cana-5550	171	10	is_duplicate	is_duplicate	X
cana-5550	171	11	=	=	SYM
cana-5550	171	12	0	0	X
cana-5550	171	13	)	)	PUNCT
cana-5550	171	14	is	be	AUX
cana-5550	171	15	63.08	63.08	NUM
cana-5550	171	16	%	%	NOUN
cana-5550	171	17	.	.	PUNCT
cana-5550	172	1	•	•	NUM
cana-5550	172	2	the	the	DET
cana-5550	172	3	similarity	similarity	NOUN
cana-5550	172	4	of	of	ADP
cana-5550	172	5	question	question	NOUN
cana-5550	172	6	pairs	pair	NOUN
cana-5550	172	7	(	(	PUNCT
cana-5550	172	8	is_duplicate	is_duplicate	X
cana-5550	172	9	=	=	SYM
cana-5550	172	10	1	1	X
cana-5550	172	11	)	)	PUNCT
cana-5550	172	12	is	be	AUX
cana-5550	172	13	36.92	36.92	NUM
cana-5550	172	14	%	%	NOUN
cana-5550	172	15	.	.	PUNCT
cana-5550	173	1	communications	communication	NOUN
cana-5550	173	2	on	on	ADP
cana-5550	173	3	applied	apply	VERB
cana-5550	173	4	nonlinear	nonlinear	ADJ
cana-5550	173	5	analysis	analysis	NOUN
cana-5550	173	6	issn	issn	NOUN
cana-5550	173	7	:	:	PUNCT
cana-5550	173	8	1074	1074	NUM
cana-5550	173	9	-	-	PUNCT
cana-5550	173	10	133x	133x	NUM
cana-5550	173	11	vol	vol	NOUN
cana-5550	173	12	32	32	NUM
cana-5550	173	13	no	no	NOUN
cana-5550	173	14	.	.	NOUN
cana-5550	173	15	3	3	NUM
cana-5550	173	16	(	(	PUNCT
cana-5550	173	17	2025	2025	NUM
cana-5550	173	18	)	)	PUNCT
cana-5550	173	19	1003	1003	NUM
cana-5550	173	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	173	21	•	•	NOUN
cana-5550	173	22	there	there	PRON
cana-5550	173	23	are	be	VERB
cana-5550	173	24	a	a	DET
cana-5550	173	25	total	total	NOUN
cana-5550	173	26	of	of	ADP
cana-5550	173	27	53,933	53,933	NUM
cana-5550	173	28	unique	unique	ADJ
cana-5550	173	29	questions	question	NOUN
cana-5550	173	30	.	.	PUNCT
cana-5550	174	1	•	•	NUM
cana-5550	174	2	the	the	DET
cana-5550	174	3	number	number	NOUN
cana-5550	174	4	of	of	ADP
cana-5550	174	5	distinct	distinct	ADJ
cana-5550	174	6	questions	question	NOUN
cana-5550	174	7	that	that	PRON
cana-5550	174	8	occur	occur	VERB
cana-5550	174	9	many	many	ADJ
cana-5550	174	10	times	time	NOUN
cana-5550	174	11	is	be	AUX
cana-5550	174	12	11,1780	11,1780	NUM
cana-5550	174	13	,	,	PUNCT
cana-5550	174	14	which	which	PRON
cana-5550	174	15	accounts	account	VERB
cana-5550	174	16	for	for	ADP
cana-5550	174	17	20.77953945937505	20.77953945937505	NUM
cana-5550	174	18	%	%	NOUN
cana-5550	174	19	of	of	ADP
cana-5550	174	20	the	the	DET
cana-5550	174	21	total	total	NOUN
cana-5550	174	22	.	.	PUNCT
cana-5550	175	1	show	show	VERB
cana-5550	175	2	that	that	SCONJ
cana-5550	175	3	the	the	DET
cana-5550	175	4	fig	fig	NOUN
cana-5550	175	5	4	4	NUM
cana-5550	175	6	,	,	PUNCT
cana-5550	175	7	fig	fig	NOUN
cana-5550	175	8	4	4	NUM
cana-5550	175	9	:	:	PUNCT
cana-5550	175	10	bar	bar	NOUN
cana-5550	175	11	chart	chart	NOUN
cana-5550	175	12	comparing	compare	VERB
cana-5550	175	13	the	the	DET
cana-5550	175	14	number	number	NOUN
cana-5550	175	15	of	of	ADP
cana-5550	175	16	unique	unique	ADJ
cana-5550	175	17	questions	question	NOUN
cana-5550	175	18	to	to	ADP
cana-5550	175	19	repeated	repeat	VERB
cana-5550	175	20	questions	question	NOUN
cana-5550	175	21	.	.	PUNCT
cana-5550	176	1	data	datum	NOUN
cana-5550	176	2	cleansing	cleansing	NOUN
cana-5550	176	3	and	and	CCONJ
cana-5550	176	4	preparation	preparation	NOUN
cana-5550	176	5	are	be	AUX
cana-5550	176	6	crucial	crucial	ADJ
cana-5550	176	7	phases	phase	NOUN
cana-5550	176	8	in	in	ADP
cana-5550	176	9	the	the	DET
cana-5550	176	10	technological	technological	ADJ
cana-5550	176	11	pipeline	pipeline	NOUN
cana-5550	176	12	.	.	PUNCT
cana-5550	177	1	during	during	ADP
cana-5550	177	2	the	the	DET
cana-5550	177	3	data	datum	NOUN
cana-5550	177	4	preprocessing	preprocessing	NOUN
cana-5550	177	5	stage	stage	NOUN
cana-5550	177	6	,	,	PUNCT
cana-5550	177	7	first	first	ADV
cana-5550	177	8	sanitize	sanitize	VERB
cana-5550	177	9	the	the	DET
cana-5550	177	10	data	datum	NOUN
cana-5550	177	11	in	in	ADP
cana-5550	177	12	each	each	DET
cana-5550	177	13	row	row	NOUN
cana-5550	177	14	.	.	PUNCT
cana-5550	178	1	after	after	ADP
cana-5550	178	2	multiple	multiple	ADJ
cana-5550	178	3	attempts	attempt	NOUN
cana-5550	178	4	and	and	CCONJ
cana-5550	178	5	iterations	iteration	NOUN
cana-5550	178	6	,	,	PUNCT
cana-5550	178	7	the	the	DET
cana-5550	178	8	authors	author	NOUN
cana-5550	178	9	have	have	AUX
cana-5550	178	10	identified	identify	VERB
cana-5550	178	11	a	a	DET
cana-5550	178	12	highly	highly	ADV
cana-5550	178	13	efficient	efficient	ADJ
cana-5550	178	14	technique	technique	NOUN
cana-5550	178	15	to	to	PART
cana-5550	178	16	purify	purify	VERB
cana-5550	178	17	the	the	DET
cana-5550	178	18	data	datum	NOUN
cana-5550	178	19	in	in	ADP
cana-5550	178	20	the	the	DET
cana-5550	178	21	objective	objective	NOUN
cana-5550	178	22	of	of	ADP
cana-5550	178	23	improving	improve	VERB
cana-5550	178	24	the	the	DET
cana-5550	178	25	model	model	NOUN
cana-5550	178	26	's	's	PART
cana-5550	178	27	performance	performance	NOUN
cana-5550	178	28	.	.	PUNCT
cana-5550	179	1	5.1.basic	5.1.basic	NUM
cana-5550	179	2	feature	feature	NOUN
cana-5550	179	3	extraction	extraction	NOUN
cana-5550	179	4	(	(	PUNCT
cana-5550	179	5	before	before	ADP
cana-5550	179	6	cleaning	cleaning	NOUN
cana-5550	179	7	):	):	PUNCT
cana-5550	179	8	the	the	DET
cana-5550	179	9	authors	author	NOUN
cana-5550	179	10	developed	develop	VERB
cana-5550	179	11	several	several	ADJ
cana-5550	179	12	features	feature	NOUN
cana-5550	179	13	such	such	ADJ
cana-5550	179	14	as	as	ADP
cana-5550	179	15	:	:	PUNCT
cana-5550	179	16	:	:	PUNCT
cana-5550	179	17	•	•	NUM
cana-5550	179	18	frequency	frequency	NOUN
cana-5550	179	19	of	of	ADP
cana-5550	179	20	question	question	NOUN
cana-5550	179	21	1	1	NUM
cana-5550	179	22	ids	id	NOUN
cana-5550	179	23	(	(	PUNCT
cana-5550	179	24	freq_qid1	freq_qid1	ADV
cana-5550	179	25	)	)	PUNCT
cana-5550	179	26	•	•	NUM
cana-5550	179	27	frequency	frequency	NOUN
cana-5550	179	28	of	of	ADP
cana-5550	179	29	question	question	NOUN
cana-5550	179	30	2	2	NUM
cana-5550	179	31	ids	id	NOUN
cana-5550	179	32	(	(	PUNCT
cana-5550	179	33	freq_qid2	freq_qid2	NOUN
cana-5550	179	34	)	)	PUNCT
cana-5550	179	35	•	•	NOUN
cana-5550	179	36	length	length	NOUN
cana-5550	179	37	of	of	ADP
cana-5550	179	38	question	question	NOUN
cana-5550	179	39	1	1	NUM
cana-5550	179	40	(	(	PUNCT
cana-5550	179	41	q1len	q1len	PROPN
cana-5550	179	42	)	)	PUNCT
cana-5550	179	43	•	•	NUM
cana-5550	179	44	length	length	NOUN
cana-5550	179	45	of	of	ADP
cana-5550	179	46	question	question	NOUN
cana-5550	179	47	2	2	NUM
cana-5550	179	48	(	(	PUNCT
cana-5550	179	49	q2len	q2len	NUM
cana-5550	179	50	)	)	PUNCT
cana-5550	180	1	•	•	PRON
cana-5550	180	2	number	number	NOUN
cana-5550	180	3	of	of	ADP
cana-5550	180	4	words	word	NOUN
cana-5550	180	5	in	in	ADP
cana-5550	180	6	question	question	NOUN
cana-5550	180	7	1	1	NUM
cana-5550	180	8	(	(	PUNCT
cana-5550	180	9	q1_n_words	q1_n_word	NOUN
cana-5550	180	10	)	)	PUNCT
cana-5550	180	11	•	•	PRON
cana-5550	180	12	number	number	NOUN
cana-5550	180	13	of	of	ADP
cana-5550	180	14	words	word	NOUN
cana-5550	180	15	in	in	ADP
cana-5550	180	16	question	question	NOUN
cana-5550	180	17	2	2	NUM
cana-5550	180	18	(	(	PUNCT
cana-5550	180	19	q2_n_words	q2_n_word	NOUN
cana-5550	180	20	)	)	PUNCT
cana-5550	180	21	•	•	NUM
cana-5550	180	22	number	number	NOUN
cana-5550	180	23	of	of	ADP
cana-5550	180	24	common	common	ADJ
cana-5550	180	25	unique	unique	ADJ
cana-5550	180	26	words	word	NOUN
cana-5550	180	27	between	between	ADP
cana-5550	180	28	question	question	NOUN
cana-5550	180	29	1	1	NUM
cana-5550	180	30	and	and	CCONJ
cana-5550	180	31	que­stion	que­stion	NOUN
cana-5550	180	32	2	2	NUM
cana-5550	180	33	(	(	PUNCT
cana-5550	180	34	word_common	word_common	NOUN
cana-5550	180	35	)	)	PUNCT
cana-5550	180	36	•	•	NUM
cana-5550	180	37	total	total	ADJ
cana-5550	180	38	number	number	NOUN
cana-5550	180	39	of	of	ADP
cana-5550	180	40	words	word	NOUN
cana-5550	180	41	in	in	ADP
cana-5550	180	42	question	question	NOUN
cana-5550	180	43	1	1	NUM
cana-5550	180	44	+	+	NUM
cana-5550	180	45	question	question	NOUN
cana-5550	180	46	2	2	NUM
cana-5550	180	47	(	(	PUNCT
cana-5550	180	48	word_total	word_total	X
cana-5550	180	49	)	)	PUNCT
cana-5550	180	50	•	•	NUM
cana-5550	180	51	ratio	ratio	NOUN
cana-5550	180	52	of	of	ADP
cana-5550	180	53	common	common	ADJ
cana-5550	180	54	words	word	NOUN
cana-5550	180	55	to	to	PART
cana-5550	180	56	total	total	VERB
cana-5550	180	57	words	word	NOUN
cana-5550	180	58	(	(	PUNCT
cana-5550	180	59	word_share	word_share	NOUN
cana-5550	180	60	)	)	PUNCT
cana-5550	180	61	•	•	NUM
cana-5550	180	62	sum	sum	NOUN
cana-5550	180	63	of	of	ADP
cana-5550	180	64	frequency	frequency	NOUN
cana-5550	180	65	of	of	ADP
cana-5550	180	66	question	question	NOUN
cana-5550	180	67	1	1	NUM
cana-5550	180	68	ids	id	NOUN
cana-5550	180	69	and	and	CCONJ
cana-5550	180	70	que­stion	que­stion	NOUN
cana-5550	180	71	2	2	NUM
cana-5550	180	72	ids	id	NOUN
cana-5550	180	73	(	(	PUNCT
cana-5550	180	74	freq_q1+freq_q2	freq_q1+freq_q2	NOUN
cana-5550	180	75	)	)	PUNCT
cana-5550	180	76	•	•	NOUN
cana-5550	180	77	absolute	absolute	ADJ
cana-5550	180	78	diffe­rence	diffe­rence	NOUN
cana-5550	180	79	between	between	ADP
cana-5550	180	80	frequency	frequency	NOUN
cana-5550	180	81	of	of	ADP
cana-5550	180	82	que­stion	que­stion	NOUN
cana-5550	180	83	1	1	NUM
cana-5550	180	84	ids	id	NOUN
cana-5550	180	85	and	and	CCONJ
cana-5550	180	86	question	question	NOUN
cana-5550	180	87	2	2	NUM
cana-5550	180	88	ids	id	NOUN
cana-5550	180	89	(	(	PUNCT
cana-5550	180	90	freq_q1freq_q2	freq_q1freq_q2	PROPN
cana-5550	180	91	)	)	PUNCT
cana-5550	180	92	5.2	5.2	NUM
cana-5550	180	93	examination	examination	NOUN
cana-5550	180	94	of	of	ADP
cana-5550	180	95	some	some	DET
cana-5550	180	96	extracted	extract	VERB
cana-5550	180	97	features	feature	NOUN
cana-5550	180	98	:	:	PUNCT
cana-5550	180	99	•	•	NUM
cana-5550	180	100	shortest	short	ADJ
cana-5550	180	101	length	length	NOUN
cana-5550	180	102	of	of	ADP
cana-5550	180	103	questions	question	NOUN
cana-5550	180	104	in	in	ADP
cana-5550	180	105	section	section	NOUN
cana-5550	180	106	one	one	NUM
cana-5550	180	107	:	:	SYM
cana-5550	180	108	1	1	NUM
cana-5550	180	109	word	word	NOUN
cana-5550	180	110	•	•	ADP
cana-5550	180	111	shortest	short	ADJ
cana-5550	180	112	length	length	NOUN
cana-5550	180	113	of	of	ADP
cana-5550	180	114	questions	question	NOUN
cana-5550	180	115	in	in	ADP
cana-5550	180	116	section	section	NOUN
cana-5550	180	117	two	two	NUM
cana-5550	180	118	:	:	SYM
cana-5550	180	119	1	1	NUM
cana-5550	180	120	word	word	NOUN
cana-5550	180	121	•	•	NOUN
cana-5550	180	122	number	number	NOUN
cana-5550	180	123	of	of	ADP
cana-5550	180	124	questions	question	NOUN
cana-5550	180	125	with	with	ADP
cana-5550	180	126	shortest	short	ADJ
cana-5550	180	127	length	length	NOUN
cana-5550	180	128	in	in	ADP
cana-5550	180	129	section	section	NOUN
cana-5550	180	130	one	one	NUM
cana-5550	180	131	:	:	PUNCT
cana-5550	180	132	67	67	NUM
cana-5550	180	133	communications	communication	NOUN
cana-5550	180	134	on	on	ADP
cana-5550	180	135	applied	apply	VERB
cana-5550	180	136	nonlinear	nonlinear	ADJ
cana-5550	180	137	analysis	analysis	NOUN
cana-5550	180	138	issn	issn	NOUN
cana-5550	180	139	:	:	PUNCT
cana-5550	180	140	1074	1074	NUM
cana-5550	180	141	-	-	PUNCT
cana-5550	180	142	133x	133x	NUM
cana-5550	180	143	vol	vol	NOUN
cana-5550	180	144	32	32	NUM
cana-5550	180	145	no	no	NOUN
cana-5550	180	146	.	.	NOUN
cana-5550	180	147	3	3	NUM
cana-5550	180	148	(	(	PUNCT
cana-5550	180	149	2025	2025	NUM
cana-5550	180	150	)	)	PUNCT
cana-5550	180	151	1004	1004	NUM
cana-5550	180	152	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	180	153	•	•	ADP
cana-5550	180	154	number	number	NOUN
cana-5550	180	155	of	of	ADP
cana-5550	180	156	questions	question	NOUN
cana-5550	180	157	with	with	ADP
cana-5550	180	158	shortest	short	ADJ
cana-5550	180	159	length	length	NOUN
cana-5550	180	160	in	in	ADP
cana-5550	180	161	section	section	NOUN
cana-5550	180	162	two	two	NUM
cana-5550	180	163	:	:	PUNCT
cana-5550	180	164	24	24	NUM
cana-5550	180	165	5.3.examination	5.3.examination	NUM
cana-5550	180	166	of	of	ADP
cana-5550	180	167	the	the	DET
cana-5550	180	168	feature	feature	NOUN
cana-5550	180	169	:	:	PUNCT
cana-5550	180	170	word_share	word_share	PROPN
cana-5550	180	171	:	:	PUNCT
cana-5550	180	172	fig	fig	NOUN
cana-5550	180	173	5	5	NUM
cana-5550	180	174	:	:	PUNCT
cana-5550	180	175	the	the	DET
cana-5550	180	176	graph	graph	NOUN
cana-5550	180	177	shows	show	VERB
cana-5550	180	178	how	how	SCONJ
cana-5550	180	179	using	use	VERB
cana-5550	180	180	the	the	DET
cana-5550	180	181	word_share	word_share	NOUN
cana-5550	180	182	feature	feature	NOUN
cana-5550	180	183	helps	help	VERB
cana-5550	180	184	separate	separate	ADJ
cana-5550	180	185	classes	class	NOUN
cana-5550	180	186	.	.	PUNCT
cana-5550	181	1	there	there	PRON
cana-5550	181	2	is	be	VERB
cana-5550	181	3	some	some	DET
cana-5550	181	4	separation	separation	NOUN
cana-5550	181	5	,	,	PUNCT
cana-5550	181	6	which	which	PRON
cana-5550	181	7	makes	make	VERB
cana-5550	181	8	it	it	PRON
cana-5550	181	9	a	a	DET
cana-5550	181	10	good	good	ADJ
cana-5550	181	11	option	option	NOUN
cana-5550	181	12	.	.	PUNCT
cana-5550	182	1	fig	fig	NOUN
cana-5550	182	2	5	5	NUM
cana-5550	183	1	,	,	PUNCT
cana-5550	183	2	the	the	DET
cana-5550	183	3	graph	graph	NOUN
cana-5550	183	4	shows	show	VERB
cana-5550	183	5	some	some	DET
cana-5550	183	6	similarities	similarity	NOUN
cana-5550	183	7	on	on	ADP
cana-5550	183	8	the	the	DET
cana-5550	183	9	right	right	ADJ
cana-5550	183	10	side	side	NOUN
cana-5550	183	11	.	.	PUNCT
cana-5550	184	1	it	it	PRON
cana-5550	184	2	is	be	AUX
cana-5550	184	3	clear	clear	ADJ
cana-5550	184	4	that	that	SCONJ
cana-5550	184	5	repeated	repeat	VERB
cana-5550	184	6	questions	question	NOUN
cana-5550	184	7	have	have	VERB
cana-5550	184	8	higher	high	ADJ
cana-5550	184	9	word_share	word_share	ADJ
cana-5550	184	10	values	value	NOUN
cana-5550	184	11	as	as	SCONJ
cana-5550	184	12	seen	see	VERB
cana-5550	184	13	in	in	ADP
cana-5550	184	14	the	the	DET
cana-5550	184	15	image	image	NOUN
cana-5550	184	16	with	with	ADP
cana-5550	184	17	the	the	DET
cana-5550	184	18	thick	thick	ADJ
cana-5550	184	19	parts	part	NOUN
cana-5550	184	20	.	.	PUNCT
cana-5550	185	1	6	6	NUM
cana-5550	185	2	.	.	X
cana-5550	185	3	architecture	architecture	NOUN
cana-5550	185	4	fig6	fig6	VERB
cana-5550	185	5	:	:	PUNCT
cana-5550	185	6	flowchart	flowchart	PROPN
cana-5550	185	7	describing	describe	VERB
cana-5550	185	8	the	the	DET
cana-5550	185	9	typical	typical	ADJ
cana-5550	185	10	layers	layer	NOUN
cana-5550	185	11	of	of	ADP
cana-5550	185	12	a	a	DET
cana-5550	185	13	convolutional	convolutional	ADJ
cana-5550	185	14	neural	neural	ADJ
cana-5550	185	15	network	network	NOUN
cana-5550	185	16	(	(	PUNCT
cana-5550	185	17	cnn	cnn	PROPN
cana-5550	185	18	)	)	PUNCT
cana-5550	185	19	.	.	PUNCT
cana-5550	186	1	communications	communication	NOUN
cana-5550	186	2	on	on	ADP
cana-5550	186	3	applied	apply	VERB
cana-5550	186	4	nonlinear	nonlinear	ADJ
cana-5550	186	5	analysis	analysis	NOUN
cana-5550	186	6	issn	issn	NOUN
cana-5550	186	7	:	:	PUNCT
cana-5550	186	8	1074	1074	NUM
cana-5550	186	9	-	-	PUNCT
cana-5550	186	10	133x	133x	NUM
cana-5550	186	11	vol	vol	NOUN
cana-5550	186	12	32	32	NUM
cana-5550	186	13	no	no	NOUN
cana-5550	186	14	.	.	NOUN
cana-5550	186	15	3	3	NUM
cana-5550	186	16	(	(	PUNCT
cana-5550	186	17	2025	2025	NUM
cana-5550	186	18	)	)	PUNCT
cana-5550	186	19	1005	1005	NUM
cana-5550	186	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	186	21	fig7	fig7	PROPN
cana-5550	186	22	:	:	PUNCT
cana-5550	186	23	flowchartdescribing	flowchartdescribe	VERB
cana-5550	186	24	the	the	DET
cana-5550	186	25	process	process	NOUN
cana-5550	186	26	used	use	VERB
cana-5550	186	27	in	in	ADP
cana-5550	186	28	identfying	identfye	VERB
cana-5550	186	29	the	the	DET
cana-5550	186	30	similarity	similarity	NOUN
cana-5550	186	31	between	between	ADP
cana-5550	186	32	two	two	NUM
cana-5550	186	33	questions	question	NOUN
cana-5550	186	34	.	.	PUNCT
cana-5550	187	1	fig	fig	NOUN
cana-5550	187	2	6,7	6,7	NUM
cana-5550	187	3	,	,	PUNCT
cana-5550	187	4	it	it	PRON
cana-5550	187	5	starts	start	VERB
cana-5550	187	6	from	from	ADP
cana-5550	187	7	first	first	ADV
cana-5550	187	8	taking	take	VERB
cana-5550	187	9	the	the	DET
cana-5550	187	10	user	user	NOUN
cana-5550	187	11	’s	’s	PART
cana-5550	187	12	question	question	NOUN
cana-5550	187	13	then	then	ADV
cana-5550	187	14	extracting	extract	VERB
cana-5550	187	15	features	feature	NOUN
cana-5550	187	16	from	from	ADP
cana-5550	187	17	it	it	PRON
cana-5550	187	18	using	use	VERB
cana-5550	187	19	dependency	dependency	NOUN
cana-5550	187	20	parsing	parsing	NOUN
cana-5550	187	21	by	by	ADP
cana-5550	187	22	using	use	VERB
cana-5550	187	23	the	the	DET
cana-5550	187	24	knowledge	knowledge	NOUN
cana-5550	187	25	base	base	NOUN
cana-5550	187	26	and	and	CCONJ
cana-5550	187	27	then	then	ADV
cana-5550	187	28	giving	give	VERB
cana-5550	187	29	the	the	DET
cana-5550	187	30	system	system	NOUN
cana-5550	187	31	the	the	DET
cana-5550	187	32	answer	answer	NOUN
cana-5550	187	33	whether	whether	SCONJ
cana-5550	187	34	the	the	DET
cana-5550	187	35	questions	question	NOUN
cana-5550	187	36	are	be	AUX
cana-5550	187	37	similar	similar	ADJ
cana-5550	187	38	or	or	CCONJ
cana-5550	187	39	not	not	PART
cana-5550	187	40	.	.	PUNCT
cana-5550	188	1	7	7	X
cana-5550	188	2	.	.	X
cana-5550	188	3	evaluation	evaluation	NOUN
cana-5550	188	4	/	/	SYM
cana-5550	188	5	execution	execution	NOUN
cana-5550	188	6	7.1.pre	7.1.pre	NOUN
cana-5550	188	7	-	-	NOUN
cana-5550	188	8	processing	processing	NOUN
cana-5550	188	9	of	of	ADP
cana-5550	188	10	text	text	NOUN
cana-5550	188	11	:	:	PUNCT
cana-5550	188	12	preparing	prepare	VERB
cana-5550	188	13	data	datum	NOUN
cana-5550	188	14	and	and	CCONJ
cana-5550	188	15	ge­tting	ge­tte	VERB
cana-5550	188	16	it	it	PRON
cana-5550	188	17	ready	ready	ADJ
cana-5550	188	18	are	be	AUX
cana-5550	188	19	very	very	ADV
cana-5550	188	20	important	important	ADJ
cana-5550	188	21	steps	step	NOUN
cana-5550	188	22	in	in	ADP
cana-5550	188	23	building	building	NOUN
cana-5550	188	24	programs	program	NOUN
cana-5550	188	25	.	.	PUNCT
cana-5550	189	1	when	when	SCONJ
cana-5550	189	2	getting	get	VERB
cana-5550	189	3	the	the	DET
cana-5550	189	4	data	datum	NOUN
cana-5550	189	5	ready	ready	ADJ
cana-5550	189	6	,	,	PUNCT
cana-5550	189	7	the	the	DET
cana-5550	189	8	authors	author	NOUN
cana-5550	189	9	clean	clean	VERB
cana-5550	189	10	up	up	ADP
cana-5550	189	11	each	each	DET
cana-5550	189	12	row	row	NOUN
cana-5550	189	13	.	.	PUNCT
cana-5550	190	1	after	after	SCONJ
cana-5550	190	2	many	many	ADJ
cana-5550	190	3	tries	try	NOUN
cana-5550	190	4	and	and	CCONJ
cana-5550	190	5	changes	change	NOUN
cana-5550	190	6	,	,	PUNCT
cana-5550	190	7	the	the	DET
cana-5550	190	8	authors	author	NOUN
cana-5550	190	9	found	find	VERB
cana-5550	190	10	a	a	DET
cana-5550	190	11	good	good	ADJ
cana-5550	190	12	way	way	NOUN
cana-5550	190	13	to	to	PART
cana-5550	190	14	clean	clean	VERB
cana-5550	190	15	the	the	DET
cana-5550	190	16	data	datum	NOUN
cana-5550	190	17	to	to	PART
cana-5550	190	18	help	help	VERB
cana-5550	190	19	the	the	DET
cana-5550	190	20	program	program	NOUN
cana-5550	190	21	do	do	VERB
cana-5550	190	22	better	well	ADV
cana-5550	190	23	.	.	PUNCT
cana-5550	191	1	before	before	ADV
cana-5550	191	2	,	,	PUNCT
cana-5550	191	3	the	the	DET
cana-5550	191	4	authors	author	NOUN
cana-5550	191	5	looked	look	VERB
cana-5550	191	6	for	for	ADP
cana-5550	191	7	the	the	DET
cana-5550	191	8	same	same	ADJ
cana-5550	191	9	rows	row	NOUN
cana-5550	191	10	more­	more­	VERB
cana-5550	191	11	than	than	ADP
cana-5550	191	12	once	once	ADV
cana-5550	191	13	but	but	CCONJ
cana-5550	191	14	did	do	AUX
cana-5550	191	15	not	not	PART
cana-5550	191	16	find	find	VERB
cana-5550	191	17	any	any	PRON
cana-5550	191	18	.	.	PUNCT
cana-5550	191	19	•	•	NOUN
cana-5550	191	20	make	make	VERB
cana-5550	191	21	all	all	DET
cana-5550	191	22	text	text	NOUN
cana-5550	191	23	lowercase	lowercase	ADJ
cana-5550	191	24	•	•	ADP
cana-5550	191	25	remove	remove	VERB
cana-5550	191	26	html	html	NOUN
cana-5550	191	27	tags	tag	NOUN
cana-5550	191	28	•	•	ADP
cana-5550	191	29	take	take	VERB
cana-5550	191	30	out	out	ADP
cana-5550	191	31	punctuations	punctuation	NOUN
cana-5550	191	32	•	•	NUM
cana-5550	191	33	shortening	shorten	VERB
cana-5550	191	34	words	word	NOUN
cana-5550	191	35	to	to	ADP
cana-5550	191	36	their	their	PRON
cana-5550	191	37	bases	basis	NOUN
cana-5550	191	38	•	•	ADP
cana-5550	191	39	common	common	ADJ
cana-5550	191	40	words	word	NOUN
cana-5550	191	41	removal	removal	NOUN
cana-5550	191	42	•	•	NOUN
cana-5550	191	43	change	change	NOUN
cana-5550	191	44	contractions	contraction	NOUN
cana-5550	191	45	to	to	ADP
cana-5550	191	46	their	their	PRON
cana-5550	191	47	full	full	ADJ
cana-5550	191	48	forms	form	NOUN
cana-5550	191	49	•use	•use	VERB
cana-5550	191	50	original	original	ADJ
cana-5550	191	51	word	word	NOUN
cana-5550	191	52	for	for	ADP
cana-5550	191	53	abbreviations	abbreviation	NOUN
cana-5550	191	54	•	•	ADP
cana-5550	191	55	replace	replace	VERB
cana-5550	191	56	specific	specific	ADJ
cana-5550	191	57	large	large	ADJ
cana-5550	191	58	numbers	number	NOUN
cana-5550	191	59	with	with	ADP
cana-5550	191	60	words	word	NOUN
cana-5550	191	61	like	like	ADP
cana-5550	191	62	"	"	PUNCT
cana-5550	191	63	1	1	NUM
cana-5550	191	64	million	million	NUM
cana-5550	191	65	"	"	PUNCT
cana-5550	191	66	as	as	ADP
cana-5550	191	67	"	"	PUNCT
cana-5550	191	68	1	1	NUM
cana-5550	191	69	m	m	NOUN
cana-5550	191	70	"	"	PUNCT
cana-5550	191	71	7.2	7.2	NUM
cana-5550	191	72	analysis	analysis	NOUN
cana-5550	191	73	of	of	ADP
cana-5550	191	74	extracted	extract	VERB
cana-5550	191	75	features	feature	NOUN
cana-5550	191	76	:	:	PUNCT
cana-5550	191	77	visual	visual	ADJ
cana-5550	191	78	depictions	depiction	NOUN
cana-5550	191	79	will	will	AUX
cana-5550	191	80	be	be	AUX
cana-5550	191	81	created	create	VERB
cana-5550	191	82	using	use	VERB
cana-5550	191	83	word	word	NOUN
cana-5550	191	84	clouds	cloud	NOUN
cana-5550	191	85	.	.	PUNCT
cana-5550	192	1	a	a	DET
cana-5550	192	2	word	word	NOUN
cana-5550	192	3	cloud	cloud	NOUN
cana-5550	192	4	is	be	AUX
cana-5550	192	5	a	a	DET
cana-5550	192	6	graphic	graphic	ADJ
cana-5550	192	7	portrayal	portrayal	NOUN
cana-5550	192	8	of	of	ADP
cana-5550	192	9	words	word	NOUN
cana-5550	192	10	positioned	position	VERB
cana-5550	192	11	in	in	ADP
cana-5550	192	12	diverse	diverse	ADJ
cana-5550	192	13	magnitudes	magnitude	NOUN
cana-5550	192	14	.	.	PUNCT
cana-5550	193	1	the	the	DET
cana-5550	193	2	prominence	prominence	NOUN
cana-5550	193	3	of	of	ADP
cana-5550	193	4	a	a	DET
cana-5550	193	5	word	word	NOUN
cana-5550	193	6	in	in	ADP
cana-5550	193	7	a	a	DET
cana-5550	193	8	text	text	NOUN
cana-5550	193	9	is	be	AUX
cana-5550	193	10	straightly	straightly	ADV
cana-5550	193	11	relate­d	relate­d	VERB
cana-5550	193	12	to	to	ADP
cana-5550	193	13	how	how	SCONJ
cana-5550	193	14	often	often	ADV
cana-5550	193	15	it	it	PRON
cana-5550	193	16	shows	show	VERB
cana-5550	193	17	up	up	ADP
cana-5550	193	18	and	and	CCONJ
cana-5550	193	19	importance	importance	NOUN
cana-5550	193	20	.	.	PUNCT
cana-5550	194	1	in	in	ADP
cana-5550	194	2	both	both	CCONJ
cana-5550	194	3	similar	similar	ADJ
cana-5550	194	4	and	and	CCONJ
cana-5550	194	5	not	not	PART
cana-5550	194	6	similar	similar	ADJ
cana-5550	194	7	question	question	NOUN
cana-5550	194	8	pairs	pair	NOUN
cana-5550	194	9	word	word	NOUN
cana-5550	194	10	clouds	cloud	NOUN
cana-5550	194	11	,	,	PUNCT
cana-5550	194	12	the	the	DET
cana-5550	194	13	term	term	NOUN
cana-5550	194	14	"	"	PUNCT
cana-5550	194	15	best	good	ADJ
cana-5550	194	16	"	"	PUNCT
cana-5550	194	17	is	be	AUX
cana-5550	194	18	present	present	ADJ
cana-5550	194	19	,	,	PUNCT
cana-5550	194	20	albeit	albeit	SCONJ
cana-5550	194	21	with	with	ADP
cana-5550	194	22	a	a	DET
cana-5550	194	23	higher	high	ADJ
cana-5550	194	24	occurrence	occurrence	NOUN
cana-5550	194	25	in	in	ADP
cana-5550	194	26	the	the	DET
cana-5550	194	27	similar	similar	ADJ
cana-5550	194	28	questions	question	NOUN
cana-5550	194	29	word	word	NOUN
cana-5550	194	30	cloud	cloud	NOUN
cana-5550	194	31	and	and	CCONJ
cana-5550	194	32	a	a	DET
cana-5550	194	33	smaller	small	ADJ
cana-5550	194	34	size	size	NOUN
cana-5550	194	35	in	in	ADP
cana-5550	194	36	the	the	DET
cana-5550	194	37	not	not	PART
cana-5550	194	38	similar	similar	ADJ
cana-5550	194	39	question	question	NOUN
cana-5550	194	40	pair	pair	NOUN
cana-5550	194	41	word	word	NOUN
cana-5550	194	42	cloud	cloud	NOUN
cana-5550	194	43	.	.	PUNCT
cana-5550	195	1	show	show	VERB
cana-5550	195	2	that	that	SCONJ
cana-5550	195	3	the	the	DET
cana-5550	195	4	fig8	fig8	NOUN
cana-5550	195	5	,	,	PUNCT
cana-5550	195	6	communications	communication	NOUN
cana-5550	195	7	on	on	ADP
cana-5550	195	8	applied	apply	VERB
cana-5550	195	9	nonlinear	nonlinear	ADJ
cana-5550	195	10	analysis	analysis	NOUN
cana-5550	195	11	issn	issn	NOUN
cana-5550	195	12	:	:	PUNCT
cana-5550	195	13	1074	1074	NUM
cana-5550	195	14	-	-	PUNCT
cana-5550	195	15	133x	133x	NUM
cana-5550	195	16	vol	vol	NOUN
cana-5550	195	17	32	32	NUM
cana-5550	195	18	no	no	NOUN
cana-5550	195	19	.	.	NOUN
cana-5550	195	20	3	3	NUM
cana-5550	195	21	(	(	PUNCT
cana-5550	195	22	2025	2025	NUM
cana-5550	195	23	)	)	PUNCT
cana-5550	195	24	1006	1006	NUM
cana-5550	195	25	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	196	1	7.3the	7.3the	NUM
cana-5550	196	2	feature	feature	NOUN
cana-5550	196	3	analysis	analysis	NOUN
cana-5550	196	4	focuses	focus	VERB
cana-5550	196	5	on	on	ADP
cana-5550	196	6	the	the	DET
cana-5550	196	7	variables	variable	NOUN
cana-5550	196	8	"	"	PUNCT
cana-5550	196	9	token_sort_ratio	token_sort_ratio	PROPN
cana-5550	196	10	"	"	PUNCT
cana-5550	196	11	and	and	CCONJ
cana-5550	196	12	"	"	PUNCT
cana-5550	196	13	fuzz_ratio	fuzz_ratio	NOUN
cana-5550	196	14	"	"	PUNCT
cana-5550	196	15	.	.	PUNCT
cana-5550	196	16	:	:	PUNCT
cana-5550	197	1	fig8	fig8	PROPN
cana-5550	197	2	:	:	PUNCT
cana-5550	197	3	the	the	DET
cana-5550	197	4	token_sort_ratio	token_sort_ratio	X
cana-5550	197	5	and	and	CCONJ
cana-5550	197	6	fuzz_ratio	fuzz_ratio	PROPN
cana-5550	197	7	features	feature	NOUN
cana-5550	197	8	offer	offer	VERB
cana-5550	197	9	a	a	DET
cana-5550	197	10	degree	degree	NOUN
cana-5550	197	11	of	of	ADP
cana-5550	197	12	separability	separability	NOUN
cana-5550	197	13	,	,	PUNCT
cana-5550	197	14	even	even	ADV
cana-5550	197	15	when	when	SCONJ
cana-5550	197	16	their	their	PRON
cana-5550	197	17	profiles	profile	NOUN
cana-5550	197	18	overlap	overlap	VERB
cana-5550	197	19	.	.	PUNCT
cana-5550	198	1	7.4the	7.4the	NUM
cana-5550	198	2	process	process	NOUN
cana-5550	198	3	of	of	ADP
cana-5550	198	4	transforming	transform	VERB
cana-5550	198	5	textual	textual	ADJ
cana-5550	198	6	material	material	NOUN
cana-5550	198	7	using	use	VERB
cana-5550	198	8	tfidf	tfidf	NOUN
cana-5550	198	9	weighted	weight	VERB
cana-5550	198	10	word	word	NOUN
cana-5550	198	11	-	-	PUNCT
cana-5550	198	12	vectors	vector	NOUN
cana-5550	198	13	.	.	PUNCT
cana-5550	199	1	:	:	PUNCT
cana-5550	200	1	•	•	NUM
cana-5550	200	2	tf	tf	NUM
cana-5550	200	3	-	-	PUNCT
cana-5550	200	4	idf	idf	PROPN
cana-5550	200	5	can	can	AUX
cana-5550	200	6	be	be	AUX
cana-5550	200	7	use­d	use­d	VERB
cana-5550	200	8	by	by	ADP
cana-5550	200	9	writers	writer	NOUN
cana-5550	200	10	to	to	PART
cana-5550	200	11	transform	transform	VERB
cana-5550	200	12	questions	question	NOUN
cana-5550	200	13	or	or	CCONJ
cana-5550	200	14	phrases	phrase	NOUN
cana-5550	200	15	into	into	ADP
cana-5550	200	16	vectors	vector	NOUN
cana-5550	200	17	.	.	PUNCT
cana-5550	201	1	weighted	weight	VERB
cana-5550	201	2	word2vec	word2vec	ADV
cana-5550	201	3	is	be	AUX
cana-5550	201	4	also	also	ADV
cana-5550	201	5	used	use	VERB
cana-5550	201	6	.	.	PUNCT
cana-5550	202	1	•	•	NUM
cana-5550	202	2	initially	initially	ADV
cana-5550	202	3	,	,	PUNCT
cana-5550	202	4	researchers	researcher	NOUN
cana-5550	202	5	find	find	VERB
cana-5550	202	6	the­	the­	NOUN
cana-5550	202	7	tf	tf	PROPN
cana-5550	202	8	-	-	PUNCT
cana-5550	202	9	idf	idf	PROPN
cana-5550	202	10	scores	score	NOUN
cana-5550	202	11	for	for	ADP
cana-5550	202	12	each	each	DET
cana-5550	202	13	word	word	NOUN
cana-5550	202	14	in	in	ADP
cana-5550	202	15	each	each	DET
cana-5550	202	16	sentence	sentence	NOUN
cana-5550	202	17	.	.	PUNCT
cana-5550	203	1	then	then	ADV
cana-5550	203	2	they	they	PRON
cana-5550	203	3	multiply	multiply	VERB
cana-5550	203	4	the	the	DET
cana-5550	203	5	tf	tf	PROPN
cana-5550	203	6	-	-	PUNCT
cana-5550	203	7	idf	idf	PROPN
cana-5550	203	8	value	value	NOUN
cana-5550	203	9	by	by	ADP
cana-5550	203	10	the	the	DET
cana-5550	203	11	matching	matching	NOUN
cana-5550	203	12	word2vec	word2vec	PROPN
cana-5550	203	13	value	value	NOUN
cana-5550	203	14	for	for	ADP
cana-5550	203	15	that	that	DET
cana-5550	203	16	word	word	NOUN
cana-5550	203	17	.	.	PUNCT
cana-5550	204	1	•	•	NUM
cana-5550	204	2	the	the	DET
cana-5550	204	3	authors	author	NOUN
cana-5550	204	4	add	add	VERB
cana-5550	204	5	up	up	ADP
cana-5550	204	6	(	(	PUNCT
cana-5550	204	7	tf	tf	PROPN
cana-5550	204	8	-	-	PUNCT
cana-5550	204	9	idf	idf	NOUN
cana-5550	204	10	x	x	SYM
cana-5550	204	11	word2vec	word2vec	X
cana-5550	204	12	)	)	PUNCT
cana-5550	204	13	for	for	ADP
cana-5550	204	14	all	all	DET
cana-5550	204	15	words	word	NOUN
cana-5550	204	16	in	in	ADP
cana-5550	204	17	the­	the­	NOUN
cana-5550	204	18	sentence	sentence	NOUN
cana-5550	204	19	.	.	PUNCT
cana-5550	205	1	they	they	PRON
cana-5550	205	2	divide	divide	VERB
cana-5550	205	3	this	this	DET
cana-5550	205	4	total	total	NOUN
cana-5550	205	5	by	by	ADP
cana-5550	205	6	the	the	DET
cana-5550	205	7	sum	sum	NOUN
cana-5550	205	8	of	of	ADP
cana-5550	205	9	all	all	DET
cana-5550	205	10	tf	tf	PROPN
cana-5550	205	11	-	-	PUNCT
cana-5550	205	12	idf	idf	PROPN
cana-5550	205	13	values	value	NOUN
cana-5550	205	14	for	for	ADP
cana-5550	205	15	the	the	DET
cana-5550	205	16	words	word	NOUN
cana-5550	205	17	.	.	PUNCT
cana-5550	206	1	•	•	NOUN
cana-5550	206	2	in	in	ADP
cana-5550	206	3	this	this	DET
cana-5550	206	4	study	study	NOUN
cana-5550	206	5	,	,	PUNCT
cana-5550	206	6	the	the	DET
cana-5550	206	7	authors	author	NOUN
cana-5550	206	8	use	use	VERB
cana-5550	206	9	a	a	DET
cana-5550	206	10	pretrained	pretraine	VERB
cana-5550	206	11	glove	glove	NOUN
cana-5550	206	12	model	model	NOUN
cana-5550	206	13	available	available	ADJ
cana-5550	206	14	with	with	ADP
cana-5550	206	15	the	the	DET
cana-5550	206	16	spacy	spacy	NOUN
cana-5550	206	17	software­.	software­.	PROPN
cana-5550	206	18	the	the	DET
cana-5550	206	19	link	link	NOUN
cana-5550	206	20	for	for	ADP
cana-5550	206	21	vector	vector	NOUN
cana-5550	206	22	and	and	CCONJ
cana-5550	206	23	similarity	similarity	NOUN
cana-5550	206	24	usage	usage	NOUN
cana-5550	206	25	is	be	AUX
cana-5550	206	26	https://spacy.io/usage­/vectorssimilarity	https://spacy.io/usage­/vectorssimilarity	NOUN
cana-5550	206	27	.	.	PROPN
cana-5550	207	1	•	•	NUM
cana-5550	207	2	glove	glove	NOUN
cana-5550	207	3	's	's	PART
cana-5550	207	4	training	training	NOUN
cana-5550	207	5	on	on	ADP
cana-5550	207	6	wikipedia	wikipedia	PROPN
cana-5550	207	7	improves	improve	VERB
cana-5550	207	8	word	word	NOUN
cana-5550	207	9	se­mantics	se­mantic	NOUN
cana-5550	207	10	,	,	PUNCT
cana-5550	207	11	making	make	VERB
cana-5550	207	12	it	it	PRON
cana-5550	207	13	more	more	ADV
cana-5550	207	14	robust	robust	ADJ
cana-5550	207	15	.	.	PUNCT
cana-5550	208	1	•	•	NOUN
cana-5550	208	2	the	the	DET
cana-5550	208	3	authors	author	NOUN
cana-5550	208	4	will	will	AUX
cana-5550	208	5	combine	combine	VERB
cana-5550	208	6	the­	the­	NOUN
cana-5550	208	7	retrieved	retrieve	VERB
cana-5550	208	8	fe­atures	fe­ature	NOUN
cana-5550	208	9	with	with	ADP
cana-5550	208	10	the	the	DET
cana-5550	208	11	vectorized	vectorize	VERB
cana-5550	208	12	ones	one	NOUN
cana-5550	208	13	after	after	ADP
cana-5550	208	14	vectorizing	vectorize	VERB
cana-5550	208	15	the­	the­	NOUN
cana-5550	208	16	columns	column	NOUN
cana-5550	208	17	of	of	ADP
cana-5550	208	18	question1	question1	ADJ
cana-5550	208	19	and	and	CCONJ
cana-5550	208	20	question2	question2	NOUN
cana-5550	208	21	.	.	PUNCT
cana-5550	209	1	the	the	DET
cana-5550	209	2	machine­	machine­	NOUN
cana-5550	209	3	learning	learn	VERB
cana-5550	209	4	model	model	NOUN
cana-5550	209	5	will	will	AUX
cana-5550	209	6	have	have	VERB
cana-5550	209	7	a	a	DET
cana-5550	209	8	total	total	NOUN
cana-5550	209	9	of	of	ADP
cana-5550	209	10	797	797	NUM
cana-5550	209	11	columns	column	NOUN
cana-5550	209	12	8	8	NUM
cana-5550	209	13	.	.	PUNCT
cana-5550	210	1	metrics	metric	NOUN
cana-5550	210	2	used	use	VERB
cana-5550	210	3	utilizing	utilize	VERB
cana-5550	210	4	bleu	bleu	NOUN
cana-5550	210	5	score	score	NOUN
cana-5550	210	6	:	:	PUNCT
cana-5550	210	7	the	the	DET
cana-5550	210	8	task	task	NOUN
cana-5550	210	9	involves	involve	VERB
cana-5550	210	10	the	the	DET
cana-5550	210	11	uses	use	VERB
cana-5550	210	12	the	the	DET
cana-5550	210	13	modified	modify	VERB
cana-5550	210	14	version	version	NOUN
cana-5550	210	15	of	of	ADP
cana-5550	210	16	bilingual	bilingual	ADJ
cana-5550	210	17	evaluation	evaluation	NOUN
cana-5550	210	18	understudy	understudy	NOUN
cana-5550	210	19	(	(	PUNCT
cana-5550	210	20	bleu	bleu	NOUN
cana-5550	210	21	)	)	PUNCT
cana-5550	210	22	assessments	assessment	NOUN
cana-5550	210	23	.	.	PUNCT
cana-5550	211	1	the	the	DET
cana-5550	211	2	bleu	bleu	NOUN
cana-5550	211	3	metric	metric	NOUN
cana-5550	211	4	is	be	AUX
cana-5550	211	5	employed	employ	VERB
cana-5550	211	6	for	for	ADP
cana-5550	211	7	evaluating	evaluate	VERB
cana-5550	211	8	the	the	DET
cana-5550	211	9	efficacy	efficacy	NOUN
cana-5550	211	10	of	of	ADP
cana-5550	211	11	machine	machine	NOUN
cana-5550	211	12	translation	translation	NOUN
cana-5550	211	13	in	in	ADP
cana-5550	211	14	converting	convert	VERB
cana-5550	211	15	text	text	NOUN
cana-5550	211	16	between	between	ADP
cana-5550	211	17	several	several	ADJ
cana-5550	211	18	natural	natural	ADJ
cana-5550	211	19	languages	language	NOUN
cana-5550	211	20	.	.	PUNCT
cana-5550	212	1	in	in	ADP
cana-5550	212	2	this	this	DET
cana-5550	212	3	scenario	scenario	NOUN
cana-5550	212	4	,	,	PUNCT
cana-5550	212	5	the	the	DET
cana-5550	212	6	authors	author	NOUN
cana-5550	212	7	will	will	AUX
cana-5550	212	8	utilize	utilize	VERB
cana-5550	212	9	it	it	PRON
cana-5550	212	10	as	as	ADP
cana-5550	212	11	a	a	DET
cana-5550	212	12	means	means	NOUN
cana-5550	212	13	to	to	PART
cana-5550	212	14	quantify	quantify	VERB
cana-5550	212	15	the	the	DET
cana-5550	212	16	degree	degree	NOUN
cana-5550	212	17	of	of	ADP
cana-5550	212	18	similarity	similarity	NOUN
cana-5550	212	19	among	among	ADP
cana-5550	212	20	inquiries	inquiry	NOUN
cana-5550	212	21	.	.	PUNCT
cana-5550	213	1	the	the	DET
cana-5550	213	2	study	study	NOUN
cana-5550	213	3	examines	examine	VERB
cana-5550	213	4	the	the	DET
cana-5550	213	5	resemblance	resemblance	NOUN
cana-5550	213	6	between	between	ADP
cana-5550	213	7	the	the	DET
cana-5550	213	8	two	two	NUM
cana-5550	213	9	questions	question	NOUN
cana-5550	213	10	by	by	ADP
cana-5550	213	11	utilizing	utilize	VERB
cana-5550	213	12	the	the	DET
cana-5550	213	13	adaptive	adaptive	ADJ
cana-5550	213	14	iteration	iteration	NOUN
cana-5550	213	15	of	of	ADP
cana-5550	213	16	the	the	DET
cana-5550	213	17	bleu	bleu	NOUN
cana-5550	213	18	score	score	NOUN
cana-5550	213	19	in	in	ADP
cana-5550	213	20	this	this	DET
cana-5550	213	21	manner	manner	NOUN
cana-5550	213	22	:	:	PUNCT
cana-5550	213	23	consider	consider	VERB
cana-5550	213	24	two	two	NUM
cana-5550	213	25	inquiries	inquiry	NOUN
cana-5550	213	26	,	,	PUNCT
cana-5550	213	27	q1	q1	PROPN
cana-5550	213	28	and	and	CCONJ
cana-5550	213	29	q2	q2	PROPN
cana-5550	213	30	u1	u1	NOUN
cana-5550	213	31	is	be	AUX
cana-5550	213	32	the	the	DET
cana-5550	213	33	collection	collection	NOUN
cana-5550	213	34	of	of	ADP
cana-5550	213	35	all	all	DET
cana-5550	213	36	unigrams	unigram	NOUN
cana-5550	213	37	,	,	PUNCT
cana-5550	213	38	excluding	exclude	VERB
cana-5550	213	39	the	the	DET
cana-5550	213	40	stop	stop	NOUN
cana-5550	213	41	words	word	NOUN
cana-5550	213	42	in	in	ADP
cana-5550	213	43	q1	q1	PROPN
cana-5550	213	44	.	.	PUNCT
cana-5550	214	1	u2	u2	PROPN
cana-5550	214	2	is	be	AUX
cana-5550	214	3	the	the	DET
cana-5550	214	4	collection	collection	NOUN
cana-5550	214	5	of	of	ADP
cana-5550	214	6	all	all	DET
cana-5550	214	7	unigrams	unigram	NOUN
cana-5550	214	8	,	,	PUNCT
cana-5550	214	9	excluding	exclude	VERB
cana-5550	214	10	the	the	DET
cana-5550	214	11	stop	stop	NOUN
cana-5550	214	12	words	word	NOUN
cana-5550	214	13	in	in	ADP
cana-5550	214	14	q2	q2	NOUN
cana-5550	214	15	.	.	PUNCT
cana-5550	215	1	b1	b1	PROPN
cana-5550	215	2	refers	refer	VERB
cana-5550	215	3	to	to	ADP
cana-5550	215	4	the	the	DET
cana-5550	215	5	collection	collection	NOUN
cana-5550	215	6	of	of	ADP
cana-5550	215	7	all	all	DET
cana-5550	215	8	bigrams	bigram	NOUN
cana-5550	215	9	that	that	PRON
cana-5550	215	10	do	do	AUX
cana-5550	215	11	not	not	PART
cana-5550	215	12	contain	contain	VERB
cana-5550	215	13	the	the	DET
cana-5550	215	14	stop	stop	NOUN
cana-5550	215	15	words	word	NOUN
cana-5550	215	16	in	in	ADP
cana-5550	215	17	q1	q1	PROPN
cana-5550	215	18	.	.	PUNCT
cana-5550	216	1	b2	b2	NOUN
cana-5550	216	2	refers	refer	VERB
cana-5550	216	3	to	to	ADP
cana-5550	216	4	the	the	DET
cana-5550	216	5	collection	collection	NOUN
cana-5550	216	6	of	of	ADP
cana-5550	216	7	all	all	DET
cana-5550	216	8	bigrams	bigram	NOUN
cana-5550	216	9	that	that	PRON
cana-5550	216	10	do	do	AUX
cana-5550	216	11	not	not	PART
cana-5550	216	12	contain	contain	VERB
cana-5550	216	13	the	the	DET
cana-5550	216	14	stop	stop	NOUN
cana-5550	216	15	words	word	NOUN
cana-5550	216	16	in	in	ADP
cana-5550	216	17	q2	q2	NOUN
cana-5550	216	18	.	.	PUNCT
cana-5550	217	1	communications	communication	NOUN
cana-5550	217	2	on	on	ADP
cana-5550	217	3	applied	apply	VERB
cana-5550	217	4	nonlinear	nonlinear	ADJ
cana-5550	217	5	analysis	analysis	NOUN
cana-5550	217	6	issn	issn	NOUN
cana-5550	217	7	:	:	PUNCT
cana-5550	217	8	1074	1074	NUM
cana-5550	217	9	-	-	PUNCT
cana-5550	217	10	133x	133x	NUM
cana-5550	217	11	vol	vol	NOUN
cana-5550	217	12	32	32	NUM
cana-5550	217	13	no	no	NOUN
cana-5550	217	14	.	.	NOUN
cana-5550	217	15	3	3	NUM
cana-5550	217	16	(	(	PUNCT
cana-5550	217	17	2025	2025	NUM
cana-5550	217	18	)	)	PUNCT
cana-5550	217	19	1007	1007	NUM
cana-5550	217	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	217	21	t1	t1	NOUN
cana-5550	217	22	represents	represent	VERB
cana-5550	217	23	the	the	DET
cana-5550	217	24	collection	collection	NOUN
cana-5550	217	25	of	of	ADP
cana-5550	217	26	all	all	DET
cana-5550	217	27	trigrams	trigram	NOUN
cana-5550	217	28	that	that	PRON
cana-5550	217	29	do	do	AUX
cana-5550	217	30	not	not	PART
cana-5550	217	31	contain	contain	VERB
cana-5550	217	32	the	the	DET
cana-5550	217	33	stop	stop	NOUN
cana-5550	217	34	words	word	NOUN
cana-5550	217	35	in	in	ADP
cana-5550	217	36	q1	q1	PROPN
cana-5550	217	37	.	.	PUNCT
cana-5550	218	1	t2	t2	NOUN
cana-5550	218	2	represents	represent	VERB
cana-5550	218	3	the	the	DET
cana-5550	218	4	collection	collection	NOUN
cana-5550	218	5	of	of	ADP
cana-5550	218	6	all	all	DET
cana-5550	218	7	trigrams	trigram	NOUN
cana-5550	218	8	that	that	PRON
cana-5550	218	9	do	do	AUX
cana-5550	218	10	not	not	PART
cana-5550	218	11	contain	contain	VERB
cana-5550	218	12	the	the	DET
cana-5550	218	13	stop	stop	NOUN
cana-5550	218	14	words	word	NOUN
cana-5550	218	15	in	in	ADP
cana-5550	218	16	q2	q2	NOUN
cana-5550	218	17	.	.	PUNCT
cana-5550	219	1	the	the	DET
cana-5550	219	2	task	task	NOUN
cana-5550	219	3	at	at	ADP
cana-5550	219	4	hand	hand	NOUN
cana-5550	219	5	involves	involve	VERB
cana-5550	219	6	a	a	DET
cana-5550	219	7	binary	binary	ADJ
cana-5550	219	8	classification	classification	NOUN
cana-5550	219	9	issue	issue	NOUN
cana-5550	219	10	,	,	PUNCT
cana-5550	219	11	wherein	wherein	SCONJ
cana-5550	219	12	the	the	DET
cana-5550	219	13	authors	author	NOUN
cana-5550	219	14	are	be	AUX
cana-5550	219	15	tasked	task	VERB
cana-5550	219	16	with	with	ADP
cana-5550	219	17	predicting	predict	VERB
cana-5550	219	18	whether	whether	SCONJ
cana-5550	219	19	a	a	DET
cana-5550	219	20	particular	particular	ADJ
cana-5550	219	21	pair	pair	NOUN
cana-5550	219	22	of	of	ADP
cana-5550	219	23	questions	question	NOUN
cana-5550	219	24	is	be	AUX
cana-5550	219	25	duplicate	duplicate	ADJ
cana-5550	219	26	or	or	CCONJ
cana-5550	219	27	not	not	PART
cana-5550	219	28	.	.	PUNCT
cana-5550	220	1	8.1.performance	8.1.performance	NUM
cana-5550	220	2	metric	metric	NOUN
cana-5550	220	3	:	:	PUNCT
cana-5550	220	4	log	log	NOUN
cana-5550	220	5	-	-	PUNCT
cana-5550	220	6	loss	loss	NOUN
cana-5550	220	7	:	:	PUNCT
cana-5550	220	8	to	to	PART
cana-5550	220	9	compute	compute	VERB
cana-5550	220	10	log	log	NOUN
cana-5550	220	11	-	-	PUNCT
cana-5550	220	12	loss	loss	NOUN
cana-5550	220	13	,	,	PUNCT
cana-5550	220	14	the	the	DET
cana-5550	220	15	classifier	classifier	NOUN
cana-5550	220	16	needs	need	VERB
cana-5550	220	17	to	to	PART
cana-5550	220	18	assign	assign	VERB
cana-5550	220	19	a	a	DET
cana-5550	220	20	probability	probability	NOUN
cana-5550	220	21	to	to	ADP
cana-5550	220	22	each	each	DET
cana-5550	220	23	class	class	NOUN
cana-5550	220	24	instead	instead	ADV
cana-5550	220	25	of	of	ADP
cana-5550	220	26	only	only	ADV
cana-5550	220	27	producing	produce	VERB
cana-5550	220	28	the	the	DET
cana-5550	220	29	class	class	NOUN
cana-5550	220	30	with	with	ADP
cana-5550	220	31	the	the	DET
cana-5550	220	32	highest	high	ADJ
cana-5550	220	33	likelihood	likelihood	NOUN
cana-5550	220	34	.	.	PUNCT
cana-5550	221	1	log	log	VERB
cana-5550	221	2	loss	loss	NOUN
cana-5550	221	3	measures	measure	NOUN
cana-5550	221	4	the	the	DET
cana-5550	221	5	precision	precision	NOUN
cana-5550	221	6	of	of	ADP
cana-5550	221	7	a	a	DET
cana-5550	221	8	classifier	classifier	NOUN
cana-5550	221	9	by	by	ADP
cana-5550	221	10	assigning	assign	VERB
cana-5550	221	11	a	a	DET
cana-5550	221	12	penalty	penalty	NOUN
cana-5550	221	13	to	to	ADP
cana-5550	221	14	incorrect	incorrect	ADJ
cana-5550	221	15	classifications	classification	NOUN
cana-5550	221	16	.	.	PUNCT
cana-5550	222	1	binary	binary	ADJ
cana-5550	222	2	confusion	confusion	NOUN
cana-5550	222	3	matrix	matrix	NOUN
cana-5550	222	4	:	:	PUNCT
cana-5550	222	5	the	the	DET
cana-5550	222	6	binary	binary	ADJ
cana-5550	222	7	confusion	confusion	NOUN
cana-5550	222	8	matrix	matrix	NOUN
cana-5550	222	9	is	be	AUX
cana-5550	222	10	a	a	DET
cana-5550	222	11	method	method	NOUN
cana-5550	222	12	used	use	VERB
cana-5550	222	13	to	to	PART
cana-5550	222	14	ofer	ofer	VERB
cana-5550	222	15	a	a	DET
cana-5550	222	16	concise	concise	ADJ
cana-5550	222	17	summary	summary	NOUN
cana-5550	222	18	of	of	ADP
cana-5550	222	19	the	the	DET
cana-5550	222	20	performance	performance	NOUN
cana-5550	222	21	of	of	ADP
cana-5550	222	22	a	a	DET
cana-5550	222	23	categorization	categorization	NOUN
cana-5550	222	24	method	method	NOUN
cana-5550	222	25	.	.	PUNCT
cana-5550	223	1	relying	rely	VERB
cana-5550	223	2	just	just	ADV
cana-5550	223	3	on	on	ADP
cana-5550	223	4	classification	classification	NOUN
cana-5550	223	5	accuracy	accuracy	NOUN
cana-5550	223	6	is	be	AUX
cana-5550	223	7	deceptive	deceptive	ADJ
cana-5550	223	8	when	when	SCONJ
cana-5550	223	9	there	there	PRON
cana-5550	223	10	is	be	VERB
cana-5550	223	11	an	an	DET
cana-5550	223	12	uneven	uneven	ADJ
cana-5550	223	13	distribution	distribution	NOUN
cana-5550	223	14	of	of	ADP
cana-5550	223	15	observations	observation	NOUN
cana-5550	223	16	across	across	ADP
cana-5550	223	17	different	different	ADJ
cana-5550	223	18	classes	class	NOUN
cana-5550	223	19	.	.	PUNCT
cana-5550	224	1	given	give	VERB
cana-5550	224	2	the	the	DET
cana-5550	224	3	nature	nature	NOUN
cana-5550	224	4	of	of	ADP
cana-5550	224	5	the	the	DET
cana-5550	224	6	study	study	NOUN
cana-5550	224	7	,	,	PUNCT
cana-5550	224	8	it	it	PRON
cana-5550	224	9	is	be	AUX
cana-5550	224	10	advisable	advisable	ADJ
cana-5550	224	11	to	to	PART
cana-5550	224	12	select	select	VERB
cana-5550	224	13	log	log	NOUN
cana-5550	224	14	-	-	PUNCT
cana-5550	224	15	loss	loss	NOUN
cana-5550	224	16	as	as	ADP
cana-5550	224	17	the	the	DET
cana-5550	224	18	chosen	choose	VERB
cana-5550	224	19	metric	metric	NOUN
cana-5550	224	20	for	for	ADP
cana-5550	224	21	probability	probability	NOUN
cana-5550	224	22	scores	score	NOUN
cana-5550	224	23	.	.	PUNCT
cana-5550	225	1	additionally	additionally	ADV
cana-5550	225	2	,	,	PUNCT
cana-5550	225	3	the	the	DET
cana-5550	225	4	binary	binary	ADJ
cana-5550	225	5	confusion	confusion	NOUN
cana-5550	225	6	matrix	matrix	NOUN
cana-5550	225	7	will	will	AUX
cana-5550	225	8	yield	yield	VERB
cana-5550	225	9	other	other	ADJ
cana-5550	225	10	metrics	metric	NOUN
cana-5550	225	11	like	like	ADP
cana-5550	225	12	as	as	ADP
cana-5550	225	13	tpr	tpr	NOUN
cana-5550	225	14	,	,	PUNCT
cana-5550	225	15	fpr	fpr	NOUN
cana-5550	225	16	,	,	PUNCT
cana-5550	225	17	tnr	tnr	PROPN
cana-5550	225	18	,	,	PUNCT
cana-5550	225	19	fnr	fnr	PROPN
cana-5550	225	20	,	,	PUNCT
cana-5550	225	21	precision	precision	NOUN
cana-5550	225	22	,	,	PUNCT
cana-5550	225	23	and	and	CCONJ
cana-5550	225	24	recall	recall	NOUN
cana-5550	225	25	.	.	PUNCT
cana-5550	226	1	9	9	X
cana-5550	226	2	.	.	X
cana-5550	226	3	results	result	NOUN
cana-5550	226	4	table	table	VERB
cana-5550	226	5	1	1	NUM
cana-5550	226	6	.	.	PUNCT
cana-5550	226	7	comparison	comparison	NOUN
cana-5550	226	8	of	of	ADP
cana-5550	226	9	accuracy	accuracy	NOUN
cana-5550	226	10	,	,	PUNCT
cana-5550	226	11	precision	precision	NOUN
cana-5550	226	12	,	,	PUNCT
cana-5550	226	13	recall	recall	NOUN
cana-5550	226	14	,	,	PUNCT
cana-5550	226	15	f1	f1	NOUN
cana-5550	226	16	-	-	PUNCT
cana-5550	226	17	score	score	NOUN
cana-5550	226	18	,	,	PUNCT
cana-5550	226	19	and	and	CCONJ
cana-5550	226	20	log	log	NOUN
cana-5550	226	21	-	-	PUNCT
cana-5550	226	22	loss	loss	NOUN
cana-5550	226	23	of	of	ADP
cana-5550	226	24	different	different	ADJ
cana-5550	226	25	models	model	NOUN
cana-5550	226	26	.	.	PUNCT
cana-5550	227	1	model	model	NOUN
cana-5550	227	2	accuracy	accuracy	PROPN
cana-5550	227	3	precision	precision	NOUN
cana-5550	227	4	recall	recall	VERB
cana-5550	227	5	f1	f1	NOUN
cana-5550	227	6	-	-	PUNCT
cana-5550	227	7	score	score	NOUN
cana-5550	227	8	log	log	NOUN
cana-5550	227	9	-	-	PUNCT
cana-5550	227	10	loss	loss	NOUN
cana-5550	227	11	cnn	cnn	PROPN
cana-5550	227	12	̴	̴	PROPN
cana-5550	227	13	85	85	NUM
cana-5550	227	14	%	%	NOUN
cana-5550	227	15	̴	̴	NOUN
cana-5550	227	16	83	83	NUM
cana-5550	227	17	%	%	NOUN
cana-5550	227	18	̴	̴	PROPN
cana-5550	227	19	84	84	NUM
cana-5550	227	20	%	%	NOUN
cana-5550	227	21	̴	̴	PROPN
cana-5550	227	22	83.5	83.5	NUM
cana-5550	227	23	%	%	NOUN
cana-5550	227	24	̴	̴	PROPN
cana-5550	227	25	0.35	0.35	NUM
cana-5550	227	26	lstm	lstm	PROPN
cana-5550	227	27	̴	̴	PROPN
cana-5550	227	28	80	80	NUM
cana-5550	227	29	%	%	NOUN
cana-5550	227	30	̴	̴	NOUN
cana-5550	227	31	78	78	NUM
cana-5550	227	32	%	%	NOUN
cana-5550	227	33	̴	̴	PROPN
cana-5550	227	34	79	79	NUM
cana-5550	227	35	%	%	NOUN
cana-5550	227	36	̴	̴	NOUN
cana-5550	227	37	78.5	78.5	NUM
cana-5550	227	38	%	%	NOUN
cana-5550	227	39	̴	̴	NOUN
cana-5550	227	40	0.45	0.45	NUM
cana-5550	227	41	siamese	siamese	ADJ
cana-5550	227	42	network	network	NOUN
cana-5550	227	43	̴	̴	PROPN
cana-5550	227	44	88	88	NUM
cana-5550	227	45	%	%	NOUN
cana-5550	227	46	̴	̴	PROPN
cana-5550	227	47	87	87	NUM
cana-5550	227	48	%	%	NOUN
cana-5550	227	49	̴	̴	PROPN
cana-5550	227	50	86	86	NUM
cana-5550	227	51	%	%	NOUN
cana-5550	227	52	̴	̴	PROPN
cana-5550	227	53	86.5	86.5	NUM
cana-5550	227	54	%	%	NOUN
cana-5550	227	55	̴	̴	PROPN
cana-5550	227	56	0.30	0.30	NUM
cana-5550	227	57	the	the	DET
cana-5550	227	58	proposed	propose	VERB
cana-5550	227	59	cnn	cnn	PROPN
cana-5550	227	60	model	model	NOUN
cana-5550	227	61	demonstrates	demonstrate	VERB
cana-5550	227	62	a	a	DET
cana-5550	227	63	promising	promising	ADJ
cana-5550	227	64	approach	approach	NOUN
cana-5550	227	65	to	to	ADP
cana-5550	227	66	detecting	detect	VERB
cana-5550	227	67	semantically	semantically	ADV
cana-5550	227	68	similar	similar	ADJ
cana-5550	227	69	questions	question	NOUN
cana-5550	227	70	on	on	ADP
cana-5550	227	71	quora	quora	NOUN
cana-5550	227	72	,	,	PUNCT
cana-5550	227	73	offering	offer	VERB
cana-5550	227	74	competitive	competitive	ADJ
cana-5550	227	75	performance	performance	NOUN
cana-5550	227	76	metrics	metric	NOUN
cana-5550	227	77	compared	compare	VERB
cana-5550	227	78	to	to	ADP
cana-5550	227	79	lstm	lstm	NOUN
cana-5550	227	80	and	and	CCONJ
cana-5550	227	81	siamese	siamese	ADJ
cana-5550	227	82	networks	network	NOUN
cana-5550	227	83	.	.	PUNCT
cana-5550	228	1	while	while	SCONJ
cana-5550	228	2	all	all	DET
cana-5550	228	3	models	model	NOUN
cana-5550	228	4	perform	perform	VERB
cana-5550	228	5	well	well	ADV
cana-5550	228	6	,	,	PUNCT
cana-5550	228	7	the	the	DET
cana-5550	228	8	cnn	cnn	PROPN
cana-5550	228	9	model	model	NOUN
cana-5550	228	10	,	,	PUNCT
cana-5550	228	11	with	with	ADP
cana-5550	228	12	its	its	PRON
cana-5550	228	13	emphasis	emphasis	NOUN
cana-5550	228	14	on	on	ADP
cana-5550	228	15	word	word	NOUN
cana-5550	228	16	embeddings	embedding	NOUN
cana-5550	228	17	and	and	CCONJ
cana-5550	228	18	efficient	efficient	ADJ
cana-5550	228	19	feature	feature	NOUN
cana-5550	228	20	extraction	extraction	NOUN
cana-5550	228	21	,	,	PUNCT
cana-5550	228	22	provides	provide	VERB
cana-5550	228	23	a	a	DET
cana-5550	228	24	robust	robust	ADJ
cana-5550	228	25	solution	solution	NOUN
cana-5550	228	26	for	for	ADP
cana-5550	228	27	the	the	DET
cana-5550	228	28	paraphrase	paraphrase	PROPN
cana-5550	228	29	detection	detection	NOUN
cana-5550	228	30	task	task	NOUN
cana-5550	228	31	.	.	PUNCT
cana-5550	229	1	future	future	ADJ
cana-5550	229	2	enhancements	enhancement	NOUN
cana-5550	229	3	could	could	AUX
cana-5550	229	4	involve	involve	VERB
cana-5550	229	5	exploring	explore	VERB
cana-5550	229	6	more	more	ADJ
cana-5550	229	7	complex	complex	ADJ
cana-5550	229	8	models	model	NOUN
cana-5550	229	9	like	like	ADP
cana-5550	229	10	bert	bert	NOUN
cana-5550	229	11	for	for	ADP
cana-5550	229	12	further	further	ADJ
cana-5550	229	13	improvements	improvement	NOUN
cana-5550	229	14	in	in	ADP
cana-5550	229	15	accuracy	accuracy	NOUN
cana-5550	229	16	and	and	CCONJ
cana-5550	229	17	reduction	reduction	NOUN
cana-5550	229	18	in	in	ADP
cana-5550	229	19	log	log	NOUN
cana-5550	229	20	-	-	PUNCT
cana-5550	229	21	loss	loss	NOUN
cana-5550	229	22	,	,	PUNCT
cana-5550	229	23	as	as	ADV
cana-5550	229	24	well	well	ADV
cana-5550	229	25	as	as	ADP
cana-5550	229	26	integrating	integrate	VERB
cana-5550	229	27	ensemble	ensemble	ADJ
cana-5550	229	28	methods	method	NOUN
cana-5550	229	29	to	to	PART
cana-5550	229	30	leverage	leverage	VERB
cana-5550	229	31	the	the	DET
cana-5550	229	32	strengths	strength	NOUN
cana-5550	229	33	of	of	ADP
cana-5550	229	34	multiple	multiple	ADJ
cana-5550	229	35	models	model	NOUN
cana-5550	229	36	.	.	PUNCT
cana-5550	230	1	experimentation	experimentation	NOUN
cana-5550	230	2	with	with	ADP
cana-5550	230	3	different	different	ADJ
cana-5550	230	4	pre	pre	ADJ
cana-5550	230	5	-	-	ADJ
cana-5550	230	6	processing	processing	ADJ
cana-5550	230	7	techniques	technique	NOUN
cana-5550	230	8	and	and	CCONJ
cana-5550	230	9	embeddings	embedding	NOUN
cana-5550	230	10	could	could	AUX
cana-5550	230	11	also	also	ADV
cana-5550	230	12	provide	provide	VERB
cana-5550	230	13	insights	insight	NOUN
cana-5550	230	14	into	into	ADP
cana-5550	230	15	optimizing	optimize	VERB
cana-5550	230	16	model	model	NOUN
cana-5550	230	17	performance	performance	NOUN
cana-5550	230	18	for	for	ADP
cana-5550	230	19	semantic	semantic	ADJ
cana-5550	230	20	similarity	similarity	NOUN
cana-5550	230	21	tasks	task	NOUN
cana-5550	230	22	on	on	ADP
cana-5550	230	23	social	social	ADJ
cana-5550	230	24	media	medium	NOUN
cana-5550	230	25	platforms	platform	NOUN
cana-5550	230	26	.	.	PUNCT
cana-5550	231	1	10	10	NUM
cana-5550	231	2	.	.	X
cana-5550	231	3	conclusion	conclusion	NOUN
cana-5550	231	4	and	and	CCONJ
cana-5550	231	5	future	future	ADJ
cana-5550	231	6	enhancement	enhancement	NOUN
cana-5550	231	7	the	the	DET
cana-5550	231	8	authors	author	NOUN
cana-5550	231	9	gained	gain	VERB
cana-5550	231	10	valuable	valuable	ADJ
cana-5550	231	11	insights	insight	NOUN
cana-5550	231	12	from	from	ADP
cana-5550	231	13	the	the	DET
cana-5550	231	14	case	case	NOUN
cana-5550	231	15	study	study	NOUN
cana-5550	231	16	.	.	PUNCT
cana-5550	232	1	the	the	DET
cana-5550	232	2	authors	author	NOUN
cana-5550	232	3	also	also	ADV
cana-5550	232	4	learned	learn	VERB
cana-5550	232	5	that	that	SCONJ
cana-5550	232	6	machine	machine	NOUN
cana-5550	232	7	learning	learning	NOUN
cana-5550	232	8	involves	involve	VERB
cana-5550	232	9	more	more	ADJ
cana-5550	232	10	time	time	NOUN
cana-5550	232	11	-	-	PUNCT
cana-5550	232	12	consuming	consume	VERB
cana-5550	232	13	processes	process	NOUN
cana-5550	232	14	before	before	ADP
cana-5550	232	15	model	model	NOUN
cana-5550	232	16	creation	creation	NOUN
cana-5550	232	17	.	.	PUNCT
cana-5550	233	1	hyper	hyper	ADJ
cana-5550	233	2	parameter	parameter	NOUN
cana-5550	233	3	tuning	tuning	NOUN
cana-5550	233	4	can	can	AUX
cana-5550	233	5	be	be	AUX
cana-5550	233	6	automated	automate	VERB
cana-5550	233	7	,	,	PUNCT
cana-5550	233	8	but	but	CCONJ
cana-5550	233	9	tasks	task	NOUN
cana-5550	233	10	such	such	ADJ
cana-5550	233	11	as	as	ADP
cana-5550	233	12	feature	feature	NOUN
cana-5550	233	13	extraction	extraction	NOUN
cana-5550	233	14	and	and	CCONJ
cana-5550	233	15	selecting	select	VERB
cana-5550	233	16	the	the	DET
cana-5550	233	17	appropriate	appropriate	ADJ
cana-5550	233	18	factorization	factorization	NOUN
cana-5550	233	19	method	method	NOUN
cana-5550	233	20	must	must	AUX
cana-5550	233	21	be	be	AUX
cana-5550	233	22	performed	perform	VERB
cana-5550	233	23	manually	manually	ADV
cana-5550	233	24	.	.	PUNCT
cana-5550	234	1	communications	communication	NOUN
cana-5550	234	2	on	on	ADP
cana-5550	234	3	applied	apply	VERB
cana-5550	234	4	nonlinear	nonlinear	ADJ
cana-5550	234	5	analysis	analysis	NOUN
cana-5550	234	6	issn	issn	NOUN
cana-5550	234	7	:	:	PUNCT
cana-5550	234	8	1074	1074	NUM
cana-5550	234	9	-	-	PUNCT
cana-5550	234	10	133x	133x	NUM
cana-5550	234	11	vol	vol	NOUN
cana-5550	234	12	32	32	NUM
cana-5550	234	13	no	no	NOUN
cana-5550	234	14	.	.	NOUN
cana-5550	234	15	3	3	NUM
cana-5550	234	16	(	(	PUNCT
cana-5550	234	17	2025	2025	NUM
cana-5550	234	18	)	)	PUNCT
cana-5550	234	19	1008	1008	NUM
cana-5550	234	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	235	1	the	the	DET
cana-5550	235	2	model	model	NOUN
cana-5550	235	3	can	can	AUX
cana-5550	235	4	accurately	accurately	ADV
cana-5550	235	5	identify	identify	VERB
cana-5550	235	6	whether	whether	SCONJ
cana-5550	235	7	questions	question	NOUN
cana-5550	235	8	are	be	AUX
cana-5550	235	9	duplicates	duplicate	NOUN
cana-5550	235	10	by	by	ADP
cana-5550	235	11	considering	consider	VERB
cana-5550	235	12	all	all	DET
cana-5550	235	13	data	datum	NOUN
cana-5550	235	14	preprocessing	preprocesse	VERB
cana-5550	235	15	and	and	CCONJ
cana-5550	235	16	performing	perform	VERB
cana-5550	235	17	advanced	advanced	ADJ
cana-5550	235	18	feature	feature	NOUN
cana-5550	235	19	extraction	extraction	NOUN
cana-5550	235	20	to	to	PART
cana-5550	235	21	enhance	enhance	VERB
cana-5550	235	22	its	its	PRON
cana-5550	235	23	accuracy	accuracy	NOUN
cana-5550	235	24	before	before	ADP
cana-5550	235	25	deploying	deploy	VERB
cana-5550	235	26	it	it	PRON
cana-5550	235	27	to	to	PART
cana-5550	235	28	create	create	VERB
cana-5550	235	29	a	a	DET
cana-5550	235	30	hosted	host	VERB
cana-5550	235	31	site	site	NOUN
cana-5550	235	32	.	.	PUNCT
cana-5550	236	1	the	the	DET
cana-5550	236	2	utilization	utilization	NOUN
cana-5550	236	3	of	of	ADP
cana-5550	236	4	basic	basic	ADJ
cana-5550	236	5	tf	tf	ADJ
cana-5550	236	6	-	-	PUNCT
cana-5550	236	7	idf	idf	PROPN
cana-5550	236	8	vectors	vector	NOUN
cana-5550	236	9	instead	instead	ADV
cana-5550	236	10	of	of	ADP
cana-5550	236	11	td	td	PROPN
cana-5550	236	12	-	-	PUNCT
cana-5550	236	13	idf	idf	NOUN
cana-5550	236	14	weighted	weight	VERB
cana-5550	236	15	word2vec	word2vec	X
cana-5550	236	16	in	in	ADP
cana-5550	236	17	models	model	NOUN
cana-5550	236	18	such	such	ADJ
cana-5550	236	19	as	as	ADP
cana-5550	236	20	logistic	logistic	ADJ
cana-5550	236	21	regression	regression	NOUN
cana-5550	236	22	and	and	CCONJ
cana-5550	236	23	linear	linear	ADJ
cana-5550	236	24	support	support	NOUN
cana-5550	236	25	vector	vector	NOUN
cana-5550	236	26	machine	machine	NOUN
cana-5550	236	27	should	should	AUX
cana-5550	236	28	be	be	AUX
cana-5550	236	29	considered	consider	VERB
cana-5550	236	30	for	for	ADP
cana-5550	236	31	investigation	investigation	NOUN
cana-5550	236	32	,	,	PUNCT
cana-5550	236	33	as	as	SCONJ
cana-5550	236	34	these	these	DET
cana-5550	236	35	models	model	NOUN
cana-5550	236	36	have	have	AUX
cana-5550	236	37	demonstrated	demonstrate	VERB
cana-5550	236	38	greater	great	ADJ
cana-5550	236	39	performance	performance	NOUN
cana-5550	236	40	in	in	ADP
cana-5550	236	41	comparison	comparison	NOUN
cana-5550	236	42	to	to	ADP
cana-5550	236	43	bag	bag	NOUN
cana-5550	236	44	of	of	ADP
cana-5550	236	45	words	word	NOUN
cana-5550	236	46	.	.	PUNCT
cana-5550	237	1	a	a	DET
cana-5550	237	2	part	part	NOUN
cana-5550	237	3	of	of	ADP
cana-5550	237	4	the	the	DET
cana-5550	237	5	study	study	NOUN
cana-5550	237	6	took	take	VERB
cana-5550	237	7	about	about	ADV
cana-5550	237	8	two	two	NUM
cana-5550	237	9	weeks	week	NOUN
cana-5550	237	10	,	,	PUNCT
cana-5550	237	11	during	during	ADP
cana-5550	237	12	which	which	PRON
cana-5550	237	13	the	the	DET
cana-5550	237	14	authors	author	NOUN
cana-5550	237	15	spent	spend	VERB
cana-5550	237	16	half	half	NOUN
cana-5550	237	17	of	of	ADP
cana-5550	237	18	the	the	DET
cana-5550	237	19	time	time	NOUN
cana-5550	237	20	waiting	wait	VERB
cana-5550	237	21	for	for	ADP
cana-5550	237	22	an	an	DET
cana-5550	237	23	execution	execution	NOUN
cana-5550	237	24	to	to	AUX
cana-5550	237	25	finish	finish	VERB
cana-5550	237	26	.	.	PUNCT
cana-5550	238	1	utilizing	utilize	VERB
cana-5550	238	2	amazon	amazon	NOUN
cana-5550	238	3	sagemaker	sagemaker	NOUN
cana-5550	238	4	is	be	AUX
cana-5550	238	5	advisable	advisable	ADJ
cana-5550	238	6	for	for	ADP
cana-5550	238	7	resource	resource	NOUN
cana-5550	238	8	-	-	PUNCT
cana-5550	238	9	intensive	intensive	ADJ
cana-5550	238	10	jobs	job	NOUN
cana-5550	238	11	.	.	PUNCT
cana-5550	239	1	data	datum	NOUN
cana-5550	239	2	availability	availability	NOUN
cana-5550	239	3	statement	statement	NOUN
cana-5550	239	4	data	datum	NOUN
cana-5550	239	5	sharing	sharing	NOUN
cana-5550	239	6	does	do	AUX
cana-5550	239	7	not	not	PART
cana-5550	239	8	apply	apply	VERB
cana-5550	239	9	to	to	ADP
cana-5550	239	10	this	this	DET
cana-5550	239	11	article	article	NOUN
cana-5550	239	12	as	as	SCONJ
cana-5550	239	13	no	no	DET
cana-5550	239	14	new	new	ADJ
cana-5550	239	15	data	datum	NOUN
cana-5550	239	16	has	have	AUX
cana-5550	239	17	been	be	AUX
cana-5550	239	18	created	create	VERB
cana-5550	239	19	or	or	CCONJ
cana-5550	239	20	analyzed	analyze	VERB
cana-5550	239	21	in	in	ADP
cana-5550	239	22	this	this	DET
cana-5550	239	23	study	study	NOUN
cana-5550	239	24	.	.	PUNCT
cana-5550	240	1	funding	funding	NOUN
cana-5550	240	2	information	information	NOUN
cana-5550	240	3	this	this	DET
cana-5550	240	4	research	research	NOUN
cana-5550	240	5	did	do	AUX
cana-5550	240	6	not	not	PART
cana-5550	240	7	receive	receive	VERB
cana-5550	240	8	any	any	DET
cana-5550	240	9	specific	specific	ADJ
cana-5550	240	10	grant	grant	NOUN
cana-5550	240	11	from	from	ADP
cana-5550	240	12	funding	fund	VERB
cana-5550	240	13	agencies	agency	NOUN
cana-5550	240	14	in	in	ADP
cana-5550	240	15	the	the	DET
cana-5550	240	16	public	public	ADJ
cana-5550	240	17	,	,	PUNCT
cana-5550	240	18	commercial	commercial	ADJ
cana-5550	240	19	,	,	PUNCT
cana-5550	240	20	or	or	CCONJ
cana-5550	240	21	not	not	PART
cana-5550	240	22	-	-	PUNCT
cana-5550	240	23	for	for	ADP
cana-5550	240	24	-	-	PUNCT
cana-5550	240	25	profit	profit	NOUN
cana-5550	240	26	sectors	sector	NOUN
cana-5550	240	27	.	.	PUNCT
cana-5550	241	1	reference	reference	NOUN
cana-5550	241	2	[	[	X
cana-5550	241	3	1	1	NUM
cana-5550	241	4	]	]	X
cana-5550	241	5	anishaa	anishaa	NOUN
cana-5550	241	6	vk	vk	PROPN
cana-5550	241	7	,	,	PUNCT
cana-5550	241	8	sathvika	sathvika	X
cana-5550	241	9	p	p	X
cana-5550	241	10	,	,	PUNCT
cana-5550	241	11	rawat	rawat	PROPN
cana-5550	241	12	s.	s.	PROPN
cana-5550	241	13	identifying	identify	VERB
cana-5550	241	14	similar	similar	ADJ
cana-5550	241	15	question	question	NOUN
cana-5550	241	16	pairs	pair	NOUN
cana-5550	241	17	using	use	VERB
cana-5550	241	18	machine	machine	NOUN
cana-5550	241	19	learning	learning	NOUN
cana-5550	241	20	techniques	technique	NOUN
cana-5550	241	21	.	.	PUNCT
cana-5550	242	1	indian	indian	ADJ
cana-5550	242	2	journal	journal	PROPN
cana-5550	242	3	of	of	ADP
cana-5550	242	4	science	science	NOUN
cana-5550	242	5	and	and	CCONJ
cana-5550	242	6	technology	technology	NOUN
cana-5550	242	7	.	.	PUNCT
cana-5550	243	1	2021;14(20):1635	2021;14(20):1635	NUM
cana-5550	243	2	-	-	SYM
cana-5550	243	3	41	41	NUM
cana-5550	243	4	.	.	PUNCT
cana-5550	244	1	[	[	X
cana-5550	244	2	2	2	NUM
cana-5550	244	3	]	]	PUNCT
cana-5550	244	4	duboue	duboue	NOUN
cana-5550	244	5	p	p	X
cana-5550	244	6	,	,	PUNCT
cana-5550	244	7	chu	chu	PROPN
cana-5550	244	8	-	-	PUNCT
cana-5550	244	9	carroll	carroll	PROPN
cana-5550	244	10	j.	j.	PROPN
cana-5550	244	11	answering	answer	VERB
cana-5550	244	12	the	the	DET
cana-5550	244	13	question	question	NOUN
cana-5550	244	14	you	you	PRON
cana-5550	244	15	wish	wish	VERB
cana-5550	244	16	they	they	PRON
cana-5550	244	17	had	have	AUX
cana-5550	244	18	asked	ask	VERB
cana-5550	244	19	:	:	PUNCT
cana-5550	244	20	the	the	DET
cana-5550	244	21	impact	impact	NOUN
cana-5550	244	22	of	of	ADP
cana-5550	244	23	paraphrasing	paraphrasing	NOUN
cana-5550	244	24	for	for	ADP
cana-5550	244	25	question	question	NOUN
cana-5550	244	26	answering	answering	NOUN
cana-5550	244	27	.	.	PUNCT
cana-5550	245	1	inproceedings	inproceeding	NOUN
cana-5550	245	2	of	of	ADP
cana-5550	245	3	the	the	DET
cana-5550	245	4	human	human	ADJ
cana-5550	245	5	language	language	NOUN
cana-5550	245	6	technology	technology	NOUN
cana-5550	245	7	conference	conference	NOUN
cana-5550	245	8	of	of	ADP
cana-5550	245	9	the	the	DET
cana-5550	245	10	naacl	naacl	NOUN
cana-5550	245	11	,	,	PUNCT
cana-5550	245	12	companion	companion	NOUN
cana-5550	245	13	volume	volume	NOUN
cana-5550	245	14	:	:	PUNCT
cana-5550	245	15	short	short	ADJ
cana-5550	245	16	papers	paper	NOUN
cana-5550	245	17	2006	2006	NUM
cana-5550	245	18	(	(	PUNCT
cana-5550	245	19	pp	pp	ADJ
cana-5550	245	20	.	.	PUNCT
cana-5550	246	1	33	33	NUM
cana-5550	246	2	-	-	SYM
cana-5550	246	3	36	36	NUM
cana-5550	246	4	)	)	PUNCT
cana-5550	246	5	.	.	PUNCT
cana-5550	247	1	[	[	X
cana-5550	247	2	3	3	X
cana-5550	247	3	]	]	X
cana-5550	247	4	vijayashree	vijayashree	PROPN
cana-5550	247	5	j	j	PROPN
cana-5550	247	6	,	,	PUNCT
cana-5550	247	7	sultana	sultana	PROPN
cana-5550	247	8	hp	hp	PROPN
cana-5550	247	9	.	.	PUNCT
cana-5550	248	1	a	a	DET
cana-5550	248	2	machine	machine	NOUN
cana-5550	248	3	learning	learn	VERB
cana-5550	248	4	framework	framework	NOUN
cana-5550	248	5	for	for	ADP
cana-5550	248	6	feature	feature	NOUN
cana-5550	248	7	selection	selection	NOUN
cana-5550	248	8	in	in	ADP
cana-5550	248	9	heart	heart	NOUN
cana-5550	248	10	disease	disease	NOUN
cana-5550	248	11	classification	classification	NOUN
cana-5550	248	12	using	use	VERB
cana-5550	248	13	improved	improve	VERB
cana-5550	248	14	particle	particle	NOUN
cana-5550	248	15	swarm	swarm	NOUN
cana-5550	248	16	optimization	optimization	NOUN
cana-5550	248	17	with	with	ADP
cana-5550	248	18	support	support	NOUN
cana-5550	248	19	vector	vector	NOUN
cana-5550	248	20	machine	machine	NOUN
cana-5550	248	21	classifier	classifier	NOUN
cana-5550	248	22	.	.	PUNCT
cana-5550	249	1	programming	programming	NOUN
cana-5550	249	2	and	and	CCONJ
cana-5550	249	3	computer	computer	NOUN
cana-5550	249	4	software	software	NOUN
cana-5550	249	5	.	.	PUNCT
cana-5550	250	1	2018;44:388	2018;44:388	NUM
cana-5550	250	2	-	-	SYM
cana-5550	250	3	97	97	NUM
cana-5550	250	4	.	.	PUNCT
cana-5550	251	1	[	[	X
cana-5550	251	2	4	4	NUM
cana-5550	251	3	]	]	X
cana-5550	251	4	fang	fang	PROPN
cana-5550	251	5	w	w	PROPN
cana-5550	251	6	,	,	PUNCT
cana-5550	251	7	nadeem	nadeem	PROPN
cana-5550	251	8	m	m	PROPN
cana-5550	251	9	,	,	PUNCT
cana-5550	251	10	mohtarami	mohtarami	PROPN
cana-5550	251	11	m	m	PROPN
cana-5550	251	12	,	,	PUNCT
cana-5550	251	13	glass	glass	PROPN
cana-5550	251	14	j.	j.	PROPN
cana-5550	251	15	neural	neural	PROPN
cana-5550	251	16	multi	multi	PROPN
cana-5550	251	17	-	-	NOUN
cana-5550	251	18	task	task	ADJ
cana-5550	251	19	learning	learning	NOUN
cana-5550	251	20	for	for	ADP
cana-5550	251	21	stance	stance	NOUN
cana-5550	251	22	prediction	prediction	NOUN
cana-5550	251	23	.	.	PUNCT
cana-5550	252	1	inproceedings	inproceeding	NOUN
cana-5550	252	2	of	of	ADP
cana-5550	252	3	the	the	DET
cana-5550	252	4	second	second	ADJ
cana-5550	252	5	workshop	workshop	NOUN
cana-5550	252	6	on	on	ADP
cana-5550	252	7	fact	fact	NOUN
cana-5550	252	8	extraction	extraction	NOUN
cana-5550	252	9	and	and	CCONJ
cana-5550	252	10	verification	verification	NOUN
cana-5550	252	11	(	(	PUNCT
cana-5550	252	12	fever	fever	NOUN
cana-5550	252	13	)	)	PUNCT
cana-5550	252	14	2019	2019	NUM
cana-5550	252	15	(	(	PUNCT
cana-5550	252	16	pp	pp	ADJ
cana-5550	252	17	.	.	PUNCT
cana-5550	253	1	13	13	NUM
cana-5550	253	2	-	-	SYM
cana-5550	253	3	19	19	NUM
cana-5550	253	4	)	)	PUNCT
cana-5550	253	5	.	.	PUNCT
cana-5550	254	1	[	[	X
cana-5550	254	2	5	5	X
cana-5550	254	3	]	]	PUNCT
cana-5550	254	4	saedi	saedi	PROPN
cana-5550	254	5	c	c	PROPN
cana-5550	254	6	,	,	PUNCT
cana-5550	254	7	rodrigues	rodrigues	PROPN
cana-5550	254	8	j	j	PROPN
cana-5550	254	9	,	,	PUNCT
cana-5550	254	10	silva	silva	PROPN
cana-5550	254	11	j	j	PROPN
cana-5550	254	12	,	,	PUNCT
cana-5550	254	13	branco	branco	PROPN
cana-5550	254	14	a	a	PRON
cana-5550	254	15	,	,	PUNCT
cana-5550	254	16	maraev	maraev	NOUN
cana-5550	254	17	v.	v.	ADP
cana-5550	254	18	learning	learn	VERB
cana-5550	254	19	profiles	profile	NOUN
cana-5550	254	20	in	in	ADP
cana-5550	254	21	duplicate	duplicate	ADJ
cana-5550	254	22	question	question	NOUN
cana-5550	254	23	detection	detection	NOUN
cana-5550	254	24	.	.	PUNCT
cana-5550	255	1	in2017	in2017	PROPN
cana-5550	255	2	ieee	ieee	PROPN
cana-5550	255	3	international	international	PROPN
cana-5550	255	4	conference	conference	NOUN
cana-5550	255	5	on	on	ADP
cana-5550	255	6	information	information	NOUN
cana-5550	255	7	reuse	reuse	NOUN
cana-5550	255	8	and	and	CCONJ
cana-5550	255	9	integration	integration	NOUN
cana-5550	255	10	(	(	PUNCT
cana-5550	255	11	iri	iri	NOUN
cana-5550	255	12	)	)	PUNCT
cana-5550	255	13	2017	2017	NUM
cana-5550	255	14	(	(	PUNCT
cana-5550	255	15	pp	pp	ADJ
cana-5550	255	16	.	.	PUNCT
cana-5550	256	1	544	544	NUM
cana-5550	256	2	-	-	SYM
cana-5550	256	3	550	550	NUM
cana-5550	256	4	)	)	PUNCT
cana-5550	256	5	.	.	PUNCT
cana-5550	257	1	ieee	ieee	NOUN
cana-5550	257	2	.	.	PUNCT
cana-5550	258	1	[	[	X
cana-5550	258	2	6	6	NUM
cana-5550	258	3	]	]	PUNCT
cana-5550	258	4	arora	arora	PROPN
cana-5550	258	5	p	p	PROPN
cana-5550	258	6	,	,	PUNCT
cana-5550	258	7	ganguly	ganguly	PROPN
cana-5550	258	8	d	d	PROPN
cana-5550	258	9	,	,	PUNCT
cana-5550	258	10	jones	jones	PROPN
cana-5550	258	11	gj	gj	PROPN
cana-5550	258	12	.	.	PUNCT
cana-5550	259	1	the	the	DET
cana-5550	259	2	good	good	NOUN
cana-5550	259	3	,	,	PUNCT
cana-5550	259	4	the	the	DET
cana-5550	259	5	bad	bad	ADJ
cana-5550	259	6	and	and	CCONJ
cana-5550	259	7	their	their	PRON
cana-5550	259	8	kins	kin	NOUN
cana-5550	259	9	:	:	PUNCT
cana-5550	259	10	identifying	identify	VERB
cana-5550	259	11	questions	question	NOUN
cana-5550	259	12	with	with	ADP
cana-5550	259	13	negative	negative	ADJ
cana-5550	259	14	scores	score	NOUN
cana-5550	259	15	in	in	ADP
cana-5550	259	16	stackoverflow	stackoverflow	NOUN
cana-5550	259	17	.	.	PUNCT
cana-5550	260	1	inproceedings	inproceeding	NOUN
cana-5550	260	2	of	of	ADP
cana-5550	260	3	the	the	DET
cana-5550	260	4	2015	2015	NUM
cana-5550	260	5	ieee	ieee	NOUN
cana-5550	260	6	/	/	SYM
cana-5550	260	7	acm	acm	PROPN
cana-5550	260	8	international	international	ADJ
cana-5550	260	9	conference	conference	NOUN
cana-5550	260	10	on	on	ADP
cana-5550	260	11	advances	advance	NOUN
cana-5550	260	12	in	in	ADP
cana-5550	260	13	social	social	ADJ
cana-5550	260	14	networks	network	NOUN
cana-5550	260	15	analysis	analysis	NOUN
cana-5550	260	16	and	and	CCONJ
cana-5550	260	17	mining	mining	NOUN
cana-5550	260	18	2015	2015	NUM
cana-5550	260	19	2015	2015	NUM
cana-5550	260	20	5	5	NUM
cana-5550	260	21	(	(	PUNCT
cana-5550	260	22	pp	pp	ADJ
cana-5550	260	23	.	.	PUNCT
cana-5550	261	1	1232	1232	NUM
cana-5550	261	2	-	-	SYM
cana-5550	261	3	1239	1239	NUM
cana-5550	261	4	)	)	PUNCT
cana-5550	261	5	.	.	PUNCT
cana-5550	262	1	[	[	X
cana-5550	262	2	7	7	X
cana-5550	262	3	]	]	PUNCT
cana-5550	262	4	xu	xu	PROPN
cana-5550	262	5	z	z	PROPN
cana-5550	262	6	,	,	PUNCT
cana-5550	262	7	yuan	yuan	PROPN
cana-5550	262	8	h.	h.	PROPN
cana-5550	262	9	forum	forum	PROPN
cana-5550	262	10	duplicate	duplicate	NOUN
cana-5550	262	11	question	question	NOUN
cana-5550	262	12	detection	detection	NOUN
cana-5550	262	13	by	by	ADP
cana-5550	262	14	domain	domain	NOUN
cana-5550	262	15	adaptive	adaptive	ADJ
cana-5550	262	16	semantic	semantic	ADJ
cana-5550	262	17	matching	matching	NOUN
cana-5550	262	18	.	.	PUNCT
cana-5550	263	1	ieee	ieee	NOUN
cana-5550	263	2	access	access	NOUN
cana-5550	263	3	.	.	PUNCT
cana-5550	264	1	2020	2020	NUM
cana-5550	264	2	;	;	PUNCT
cana-5550	264	3	8:56029	8:56029	NUM
cana-5550	264	4	-	-	SYM
cana-5550	264	5	38	38	NUM
cana-5550	264	6	.	.	PUNCT
cana-5550	265	1	[	[	X
cana-5550	265	2	8	8	NUM
cana-5550	265	3	]	]	X
cana-5550	265	4	liu	liu	PROPN
cana-5550	265	5	y	y	PROPN
cana-5550	265	6	,	,	PUNCT
cana-5550	265	7	li	li	PROPN
cana-5550	265	8	s	s	PROPN
cana-5550	265	9	,	,	PUNCT
cana-5550	265	10	cao	cao	PROPN
cana-5550	265	11	y	y	PROPN
cana-5550	265	12	,	,	PUNCT
cana-5550	265	13	lin	lin	PROPN
cana-5550	265	14	cy	cy	PROPN
cana-5550	265	15	,	,	PUNCT
cana-5550	265	16	han	han	PROPN
cana-5550	265	17	d	d	PROPN
cana-5550	265	18	,	,	PUNCT
cana-5550	265	19	yu	yu	PROPN
cana-5550	265	20	y.	y.	PROPN
cana-5550	265	21	understanding	understanding	NOUN
cana-5550	265	22	and	and	CCONJ
cana-5550	265	23	summarizing	summarize	VERB
cana-5550	265	24	answers	answer	NOUN
cana-5550	265	25	in	in	ADP
cana-5550	265	26	community	community	NOUN
cana-5550	265	27	-	-	PUNCT
cana-5550	265	28	based	base	VERB
cana-5550	265	29	question	question	NOUN
cana-5550	265	30	answering	answering	NOUN
cana-5550	265	31	services	service	NOUN
cana-5550	265	32	.	.	PUNCT
cana-5550	266	1	inproceedings	inproceeding	NOUN
cana-5550	266	2	of	of	ADP
cana-5550	266	3	the	the	DET
cana-5550	266	4	22nd	22nd	ADJ
cana-5550	266	5	international	international	ADJ
cana-5550	266	6	conference	conference	NOUN
cana-5550	266	7	on	on	ADP
cana-5550	266	8	computational	computational	ADJ
cana-5550	266	9	linguistics	linguistic	NOUN
cana-5550	266	10	(	(	PUNCT
cana-5550	266	11	coling	cole	VERB
cana-5550	266	12	2008	2008	NUM
cana-5550	266	13	)	)	PUNCT
cana-5550	266	14	2008	2008	NUM
cana-5550	266	15	(	(	PUNCT
cana-5550	266	16	pp	pp	ADJ
cana-5550	266	17	.	.	PUNCT
cana-5550	267	1	497	497	NUM
cana-5550	267	2	-	-	SYM
cana-5550	267	3	504	504	NUM
cana-5550	267	4	)	)	PUNCT
cana-5550	267	5	.	.	PUNCT
cana-5550	268	1	[	[	X
cana-5550	268	2	9	9	NUM
cana-5550	268	3	]	]	X
cana-5550	268	4	chen	chen	PROPN
cana-5550	268	5	l.	l.	PROPN
cana-5550	268	6	understanding	understanding	PROPN
cana-5550	268	7	and	and	CCONJ
cana-5550	268	8	exploiting	exploit	VERB
cana-5550	268	9	user	user	NOUN
cana-5550	268	10	intent	intent	NOUN
cana-5550	268	11	in	in	ADP
cana-5550	268	12	community	community	NOUN
cana-5550	268	13	question	question	NOUN
cana-5550	268	14	answering	answering	NOUN
cana-5550	268	15	(	(	PUNCT
cana-5550	268	16	doctoral	doctoral	ADJ
cana-5550	268	17	dissertation	dissertation	NOUN
cana-5550	268	18	,	,	PUNCT
cana-5550	268	19	birkbeck	birkbeck	VERB
cana-5550	268	20	,	,	PUNCT
cana-5550	268	21	university	university	NOUN
cana-5550	268	22	of	of	ADP
cana-5550	268	23	london	london	PROPN
cana-5550	268	24	)	)	PUNCT
cana-5550	268	25	.	.	PUNCT
cana-5550	269	1	communications	communication	NOUN
cana-5550	269	2	on	on	ADP
cana-5550	269	3	applied	apply	VERB
cana-5550	269	4	nonlinear	nonlinear	ADJ
cana-5550	269	5	analysis	analysis	NOUN
cana-5550	269	6	issn	issn	NOUN
cana-5550	269	7	:	:	PUNCT
cana-5550	269	8	1074	1074	NUM
cana-5550	269	9	-	-	PUNCT
cana-5550	269	10	133x	133x	NUM
cana-5550	269	11	vol	vol	NOUN
cana-5550	269	12	32	32	NUM
cana-5550	269	13	no	no	NOUN
cana-5550	269	14	.	.	NOUN
cana-5550	269	15	3	3	NUM
cana-5550	269	16	(	(	PUNCT
cana-5550	269	17	2025	2025	NUM
cana-5550	269	18	)	)	PUNCT
cana-5550	269	19	1009	1009	NUM
cana-5550	269	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-5550	270	1	[	[	X
cana-5550	270	2	10	10	NUM
cana-5550	270	3	]	]	X
cana-5550	270	4	le	le	X
cana-5550	270	5	ht	ht	PROPN
cana-5550	270	6	,	,	PUNCT
cana-5550	270	7	cao	cao	PROPN
cana-5550	270	8	dt	dt	PROPN
cana-5550	270	9	,	,	PUNCT
cana-5550	270	10	bui	bui	PROPN
cana-5550	270	11	th	th	X
cana-5550	270	12	,	,	PUNCT
cana-5550	270	13	luong	luong	PROPN
cana-5550	270	14	lt	lt	PROPN
cana-5550	270	15	,	,	PUNCT
cana-5550	270	16	nguyen	nguyen	PROPN
cana-5550	270	17	hq	hq	PROPN
cana-5550	270	18	.	.	PUNCT
cana-5550	271	1	improve	improve	VERB
cana-5550	271	2	quora	quora	NOUN
cana-5550	271	3	question	question	NOUN
cana-5550	271	4	pair	pair	NOUN
cana-5550	271	5	dataset	dataset	VERB
cana-5550	271	6	for	for	ADP
cana-5550	271	7	question	question	NOUN
cana-5550	271	8	similarity	similarity	NOUN
cana-5550	271	9	task	task	NOUN
cana-5550	271	10	.	.	PUNCT
cana-5550	272	1	in2021	in2021	PROPN
cana-5550	272	2	rivf	rivf	PROPN
cana-5550	272	3	international	international	PROPN
cana-5550	272	4	conference	conference	NOUN
cana-5550	272	5	on	on	ADP
cana-5550	272	6	computing	computing	NOUN
cana-5550	272	7	and	and	CCONJ
cana-5550	272	8	communication	communication	NOUN
cana-5550	272	9	technologies	technology	NOUN
cana-5550	272	10	(	(	PUNCT
cana-5550	272	11	rivf	rivf	ADJ
cana-5550	272	12	)	)	PUNCT
cana-5550	272	13	2021	2021	NUM
cana-5550	272	14	aug	aug	PROPN
cana-5550	272	15	19	19	NUM
cana-5550	272	16	(	(	PUNCT
cana-5550	272	17	pp	pp	ADJ
cana-5550	272	18	.	.	PUNCT
cana-5550	273	1	1	1	NUM
cana-5550	273	2	-	-	SYM
cana-5550	273	3	5	5	NUM
cana-5550	273	4	)	)	PUNCT
cana-5550	273	5	.	.	PUNCT
cana-5550	274	1	ieee	ieee	NOUN
cana-5550	274	2	.	.	PUNCT
cana-5550	275	1	[	[	X
cana-5550	275	2	11	11	NUM
cana-5550	275	3	]	]	X
cana-5550	275	4	chandra	chandra	PROPN
cana-5550	275	5	m	m	PROPN
cana-5550	275	6	,	,	PUNCT
cana-5550	275	7	rodrigues	rodrigue	VERB
cana-5550	275	8	a	a	PRON
cana-5550	275	9	,	,	PUNCT
cana-5550	275	10	george	george	PROPN
cana-5550	275	11	j.	j.	PROPN
cana-5550	275	12	an	an	DET
cana-5550	275	13	enhanced	enhanced	ADJ
cana-5550	275	14	deep	deep	ADJ
cana-5550	275	15	learning	learning	NOUN
cana-5550	275	16	model	model	NOUN
cana-5550	275	17	for	for	ADP
cana-5550	275	18	duplicate	duplicate	ADJ
cana-5550	275	19	question	question	NOUN
cana-5550	275	20	detection	detection	NOUN
cana-5550	275	21	on	on	ADP
cana-5550	275	22	quora	quora	NOUN
cana-5550	275	23	question	question	NOUN
cana-5550	275	24	pairs	pair	NOUN
cana-5550	275	25	using	use	VERB
cana-5550	275	26	siamese	siamese	ADJ
cana-5550	275	27	lstm	lstm	NOUN
cana-5550	275	28	.	.	PUNCT
cana-5550	276	1	in2022	in2022	PROPN
cana-5550	276	2	ieee	ieee	PROPN
cana-5550	276	3	international	international	PROPN
cana-5550	276	4	conference	conference	NOUN
cana-5550	276	5	on	on	ADP
cana-5550	276	6	distributed	distribute	VERB
cana-5550	276	7	computing	computing	NOUN
cana-5550	276	8	and	and	CCONJ
cana-5550	276	9	electrical	electrical	ADJ
cana-5550	276	10	circuits	circuit	NOUN
cana-5550	276	11	and	and	CCONJ
cana-5550	276	12	electronics	electronic	NOUN
cana-5550	276	13	(	(	PUNCT
cana-5550	276	14	icdcece	icdcece	NOUN
cana-5550	276	15	)	)	PUNCT
cana-5550	276	16	2022	2022	NUM
cana-5550	276	17	(	(	PUNCT
cana-5550	276	18	pp	pp	ADJ
cana-5550	276	19	.	.	PUNCT
cana-5550	277	1	1	1	NUM
cana-5550	277	2	-	-	SYM
cana-5550	277	3	5	5	NUM
cana-5550	277	4	)	)	PUNCT
cana-5550	277	5	.	.	PUNCT
cana-5550	278	1	ieee	ieee	NOUN
cana-5550	278	2	.	.	PUNCT
cana-5550	279	1	[	[	X
cana-5550	279	2	12	12	NUM
cana-5550	279	3	]	]	X
cana-5550	279	4	al	al	PROPN
cana-5550	279	5	-	-	PUNCT
cana-5550	279	6	qaraghuli	qaraghuli	PROPN
cana-5550	279	7	m	m	PROPN
cana-5550	279	8	,	,	PUNCT
cana-5550	279	9	abandah	abandah	VERB
cana-5550	279	10	g	g	PROPN
cana-5550	279	11	,	,	PUNCT
cana-5550	279	12	suyyagh	suyyagh	PROPN
cana-5550	279	13	a.	a.	NOUN
cana-5550	279	14	correcting	correct	VERB
cana-5550	279	15	arabic	arabic	ADJ
cana-5550	279	16	soft	soft	ADJ
cana-5550	279	17	spelling	spelling	NOUN
cana-5550	279	18	mistakes	mistake	NOUN
cana-5550	279	19	using	use	VERB
cana-5550	279	20	transformers	transformer	NOUN
cana-5550	279	21	.	.	PUNCT
cana-5550	280	1	in2021	in2021	PROPN
cana-5550	280	2	ieee	ieee	PROPN
cana-5550	280	3	jordan	jordan	PROPN
cana-5550	280	4	international	international	PROPN
cana-5550	280	5	joint	joint	ADJ
cana-5550	280	6	conference	conference	NOUN
cana-5550	280	7	on	on	ADP
cana-5550	280	8	electrical	electrical	ADJ
cana-5550	280	9	engineering	engineering	NOUN
cana-5550	280	10	and	and	CCONJ
cana-5550	280	11	information	information	NOUN
cana-5550	280	12	technology	technology	NOUN
cana-5550	280	13	(	(	PUNCT
cana-5550	280	14	jeeit	jeeit	PROPN
cana-5550	280	15	)	)	PUNCT
cana-5550	280	16	2021	2021	NUM
cana-5550	280	17	(	(	PUNCT
cana-5550	280	18	pp	pp	ADJ
cana-5550	280	19	.	.	PUNCT
cana-5550	281	1	146	146	NUM
cana-5550	281	2	-	-	SYM
cana-5550	281	3	151	151	NUM
cana-5550	281	4	)	)	PUNCT
cana-5550	281	5	.	.	PUNCT
cana-5550	282	1	ieee	ieee	PROPN
cana-5550	282	2	.	.	PUNCT
cana-5550	283	1	[	[	X
cana-5550	283	2	13	13	NUM
cana-5550	283	3	]	]	X
cana-5550	283	4	zhang	zhang	PROPN
cana-5550	283	5	s	s	PROPN
cana-5550	283	6	,	,	PUNCT
cana-5550	283	7	xu	xu	PROPN
cana-5550	283	8	x	x	PROPN
cana-5550	283	9	,	,	PUNCT
cana-5550	283	10	tao	tao	PROPN
cana-5550	283	11	y	y	PROPN
cana-5550	283	12	,	,	PUNCT
cana-5550	283	13	wang	wang	PROPN
cana-5550	283	14	x	x	PROPN
cana-5550	283	15	,	,	PUNCT
cana-5550	283	16	wang	wang	PROPN
cana-5550	283	17	q	q	PROPN
cana-5550	283	18	,	,	PUNCT
cana-5550	283	19	chen	chen	PROPN
cana-5550	283	20	f.	f.	PROPN
cana-5550	283	21	text	text	PROPN
cana-5550	283	22	similarity	similarity	NOUN
cana-5550	283	23	measurement	measurement	NOUN
cana-5550	283	24	method	method	NOUN
cana-5550	283	25	based	base	VERB
cana-5550	283	26	on	on	ADP
cana-5550	283	27	bilstm	bilstm	NOUN
cana-5550	283	28	-	-	PUNCT
cana-5550	283	29	secapsnet	secapsnet	NOUN
cana-5550	283	30	model	model	NOUN
cana-5550	283	31	.	.	PUNCT
cana-5550	284	1	in2021	in2021	PROPN
cana-5550	284	2	6th	6th	ADJ
cana-5550	284	3	international	international	ADJ
cana-5550	284	4	conference	conference	NOUN
cana-5550	284	5	on	on	ADP
cana-5550	284	6	image	image	NOUN
cana-5550	284	7	,	,	PUNCT
cana-5550	284	8	vision	vision	NOUN
cana-5550	284	9	and	and	CCONJ
cana-5550	284	10	computing	computing	NOUN
cana-5550	284	11	(	(	PUNCT
cana-5550	284	12	icivc	icivc	NOUN
cana-5550	284	13	)	)	PUNCT
cana-5550	284	14	2021	2021	NUM
cana-5550	284	15	(	(	PUNCT
cana-5550	284	16	pp	pp	ADJ
cana-5550	284	17	.	.	PUNCT
cana-5550	285	1	414	414	NUM
cana-5550	285	2	-	-	NUM
cana-5550	285	3	419	419	NUM
cana-5550	285	4	)	)	PUNCT
cana-5550	285	5	.	.	PUNCT
cana-5550	286	1	ieee	ieee	PROPN
cana-5550	286	2	.	.	PUNCT
cana-5550	287	1	[	[	X
cana-5550	287	2	14	14	NUM
cana-5550	287	3	]	]	X
cana-5550	287	4	chen	chen	PROPN
cana-5550	287	5	y	y	PROPN
cana-5550	287	6	,	,	PUNCT
cana-5550	287	7	wang	wang	PROPN
cana-5550	287	8	h	h	PROPN
cana-5550	287	9	,	,	PUNCT
cana-5550	287	10	sun	sun	PROPN
cana-5550	287	11	r	r	PROPN
cana-5550	287	12	,	,	PUNCT
cana-5550	287	13	chen	chen	PROPN
cana-5550	287	14	e.	e.	PROPN
cana-5550	287	15	context	context	PROPN
cana-5550	287	16	-	-	PUNCT
cana-5550	287	17	aware	aware	ADJ
cana-5550	287	18	semantic	semantic	ADJ
cana-5550	287	19	matching	matching	NOUN
cana-5550	287	20	with	with	ADP
cana-5550	287	21	self	self	NOUN
cana-5550	287	22	attention	attention	NOUN
cana-5550	287	23	mechanism	mechanism	NOUN
cana-5550	287	24	.	.	PUNCT
cana-5550	288	1	in2022	in2022	PROPN
cana-5550	288	2	5th	5th	ADJ
cana-5550	288	3	international	international	ADJ
cana-5550	288	4	conference	conference	NOUN
cana-5550	288	5	on	on	ADP
cana-5550	288	6	pattern	pattern	NOUN
cana-5550	288	7	recognition	recognition	NOUN
cana-5550	288	8	and	and	CCONJ
cana-5550	288	9	artificial	artificial	ADJ
cana-5550	288	10	intelligence	intelligence	NOUN
cana-5550	288	11	(	(	PUNCT
cana-5550	288	12	prai	prai	NOUN
cana-5550	288	13	)	)	PUNCT
cana-5550	288	14	2022	2022	NUM
cana-5550	288	15	(	(	PUNCT
cana-5550	288	16	pp	pp	ADJ
cana-5550	288	17	.	.	PUNCT
cana-5550	289	1	1007	1007	NUM
cana-5550	289	2	-	-	SYM
cana-5550	289	3	1011	1011	NUM
cana-5550	289	4	)	)	PUNCT
cana-5550	289	5	.	.	PUNCT
cana-5550	290	1	ieee	ieee	NOUN
cana-5550	290	2	.	.	PUNCT
cana-5550	291	1	[	[	X
cana-5550	291	2	15	15	NUM
cana-5550	291	3	]	]	X
cana-5550	291	4	luo	luo	PROPN
cana-5550	291	5	d	d	PROPN
cana-5550	291	6	,	,	PUNCT
cana-5550	291	7	su	su	PROPN
cana-5550	291	8	j	j	PROPN
cana-5550	291	9	,	,	PUNCT
cana-5550	291	10	yu	yu	PROPN
cana-5550	291	11	s.	s.	PROPN
cana-5550	291	12	a	a	DET
cana-5550	291	13	bert	bert	PROPN
cana-5550	291	14	-	-	PUNCT
cana-5550	291	15	based	base	VERB
cana-5550	291	16	approach	approach	NOUN
cana-5550	291	17	with	with	ADP
cana-5550	291	18	relation	relation	NOUN
cana-5550	291	19	-	-	PUNCT
cana-5550	291	20	aware	aware	ADJ
cana-5550	291	21	attention	attention	NOUN
cana-5550	291	22	for	for	ADP
cana-5550	291	23	knowledge	knowledge	NOUN
cana-5550	291	24	base	base	NOUN
cana-5550	291	25	question	question	NOUN
cana-5550	291	26	answering	answering	NOUN
cana-5550	291	27	.	.	PUNCT
cana-5550	292	1	in2020	in2020	PROPN
cana-5550	292	2	international	international	ADJ
cana-5550	292	3	joint	joint	ADJ
cana-5550	292	4	conference	conference	NOUN
cana-5550	292	5	on	on	ADP
cana-5550	292	6	neural	neural	ADJ
cana-5550	292	7	networks	network	NOUN
cana-5550	292	8	(	(	PUNCT
cana-5550	292	9	ijcnn	ijcnn	PROPN
cana-5550	292	10	)	)	PUNCT
cana-5550	292	11	2020	2020	NUM
cana-5550	293	1	(	(	PUNCT
cana-5550	293	2	pp	pp	ADJ
cana-5550	293	3	.	.	PUNCT
cana-5550	294	1	1	1	NUM
cana-5550	294	2	-	-	SYM
cana-5550	294	3	8)	8)	NUM
cana-5550	294	4	.	.	PUNCT
cana-5550	294	5	ieee	ieee	NOUN
cana-5550	294	6	.	.	PUNCT
cana-5550	295	1	[	[	X
cana-5550	295	2	16	16	NUM
cana-5550	295	3	]	]	X
cana-5550	295	4	arora	arora	PROPN
cana-5550	295	5	p	p	X
cana-5550	295	6	,	,	PUNCT
cana-5550	295	7	ganguly	ganguly	PROPN
cana-5550	295	8	d	d	PROPN
cana-5550	295	9	,	,	PUNCT
cana-5550	295	10	jones	jones	PROPN
cana-5550	295	11	gj	gj	PROPN
cana-5550	295	12	.	.	PUNCT
cana-5550	296	1	the	the	DET
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cana-5550	296	3	,	,	PUNCT
cana-5550	296	4	the	the	DET
cana-5550	296	5	bad	bad	ADJ
cana-5550	296	6	and	and	CCONJ
cana-5550	296	7	their	their	PRON
cana-5550	296	8	kins	kin	NOUN
cana-5550	296	9	:	:	PUNCT
cana-5550	296	10	identifying	identify	VERB
cana-5550	296	11	questions	question	NOUN
cana-5550	296	12	with	with	ADP
cana-5550	296	13	negative	negative	ADJ
cana-5550	296	14	scores	score	NOUN
cana-5550	296	15	in	in	ADP
cana-5550	296	16	stackoverflow	stackoverflow	NOUN
cana-5550	296	17	.	.	PUNCT
cana-5550	297	1	inproceedings	inproceeding	NOUN
cana-5550	297	2	of	of	ADP
cana-5550	297	3	the	the	DET
cana-5550	297	4	2015	2015	NUM
cana-5550	297	5	ieee	ieee	NOUN
cana-5550	297	6	/	/	SYM
cana-5550	297	7	acm	acm	PROPN
cana-5550	297	8	international	international	ADJ
cana-5550	297	9	conference	conference	NOUN
cana-5550	297	10	on	on	ADP
cana-5550	297	11	advances	advance	NOUN
cana-5550	297	12	in	in	ADP
cana-5550	297	13	social	social	ADJ
cana-5550	297	14	networks	network	NOUN
cana-5550	297	15	analysis	analysis	NOUN
cana-5550	297	16	and	and	CCONJ
cana-5550	297	17	mining	mining	NOUN
cana-5550	297	18	2015	2015	NUM
cana-5550	297	19	2015	2015	NUM
cana-5550	297	20	(	(	PUNCT
cana-5550	297	21	pp	pp	ADJ
cana-5550	297	22	.	.	PUNCT
cana-5550	298	1	1232	1232	NUM
cana-5550	298	2	-	-	SYM
cana-5550	298	3	1239	1239	NUM
cana-5550	298	4	)	)	PUNCT
cana-5550	298	5	.	.	PUNCT
cana-5550	299	1	[	[	X
cana-5550	299	2	17	17	NUM
cana-5550	299	3	]	]	X
cana-5550	299	4	mikolov	mikolov	PROPN
cana-5550	299	5	t	t	PROPN
cana-5550	299	6	,	,	PUNCT
cana-5550	299	7	karafiát	karafiát	PROPN
cana-5550	299	8	m	m	PROPN
cana-5550	299	9	,	,	PUNCT
cana-5550	299	10	burget	burget	VERB
cana-5550	299	11	l	l	NOUN
cana-5550	299	12	,	,	PUNCT
cana-5550	299	13	cernocký	cernocký	PROPN
cana-5550	299	14	j	j	PROPN
cana-5550	299	15	,	,	PUNCT
cana-5550	299	16	khudanpur	khudanpur	PROPN
cana-5550	299	17	s.	s.	PROPN
cana-5550	299	18	recurrent	recurrent	PROPN
cana-5550	299	19	neural	neural	ADJ
cana-5550	299	20	network	network	NOUN
cana-5550	299	21	based	base	VERB
cana-5550	299	22	language	language	NOUN
cana-5550	299	23	model	model	NOUN
cana-5550	299	24	.	.	PUNCT
cana-5550	300	1	ininterspeech	ininterspeech	PROPN
cana-5550	300	2	2010	2010	NUM
cana-5550	300	3	(	(	PUNCT
cana-5550	300	4	vol	vol	NOUN
cana-5550	300	5	.	.	NOUN
cana-5550	300	6	2	2	NUM
cana-5550	300	7	,	,	PUNCT
cana-5550	300	8	no	no	INTJ
cana-5550	300	9	.	.	NOUN
cana-5550	300	10	3	3	NUM
cana-5550	300	11	,	,	PUNCT
cana-5550	300	12	pp	pp	ADJ
cana-5550	300	13	.	.	PUNCT
cana-5550	300	14	1045	1045	NUM
cana-5550	300	15	-	-	SYM
cana-5550	300	16	1048	1048	NUM
cana-5550	300	17	)	)	PUNCT
cana-5550	300	18	.	.	PUNCT
cana-5550	301	1	[	[	X
cana-5550	301	2	18	18	NUM
cana-5550	301	3	]	]	X
cana-5550	301	4	tomar	tomar	PROPN
cana-5550	301	5	gs	gs	PROPN
cana-5550	301	6	,	,	PUNCT
cana-5550	301	7	duque	duque	PROPN
cana-5550	301	8	t	t	PROPN
cana-5550	301	9	,	,	PUNCT
cana-5550	301	10	täckström	täckström	NOUN
cana-5550	301	11	o	o	NOUN
cana-5550	301	12	,	,	PUNCT
cana-5550	301	13	uszkoreit	uszkoreit	PROPN
cana-5550	301	14	j	j	PROPN
cana-5550	301	15	,	,	PUNCT
cana-5550	301	16	das	das	PROPN
cana-5550	301	17	d.	d.	PROPN
cana-5550	301	18	neural	neural	PROPN
cana-5550	301	19	paraphrase	paraphrase	PROPN
cana-5550	301	20	identification	identification	NOUN
cana-5550	301	21	of	of	ADP
cana-5550	301	22	questions	question	NOUN
cana-5550	301	23	with	with	ADP
cana-5550	301	24	noisy	noisy	ADJ
cana-5550	301	25	pretraining	pretraining	NOUN
cana-5550	301	26	.	.	PUNCT
cana-5550	302	1	arxiv	arxiv	PROPN
cana-5550	302	2	preprint	preprint	PROPN
cana-5550	302	3	arxiv:1704.04565	arxiv:1704.04565	ADV
cana-5550	302	4	.	.	PUNCT
cana-5550	303	1	2017	2017	NUM
cana-5550	304	1	[	[	SYM
cana-5550	304	2	19	19	NUM
cana-5550	304	3	]	]	X
cana-5550	304	4	radford	radford	PROPN
cana-5550	304	5	a	a	PROPN
cana-5550	304	6	,	,	PUNCT
cana-5550	304	7	narasimhan	narasimhan	PROPN
cana-5550	304	8	k	k	PROPN
cana-5550	304	9	,	,	PUNCT
cana-5550	304	10	salimans	salimans	PROPN
cana-5550	304	11	t	t	PROPN
cana-5550	304	12	,	,	PUNCT
cana-5550	304	13	sutskever	sutskever	PROPN
cana-5550	304	14	i.	i.	NOUN
cana-5550	304	15	improving	improve	VERB
cana-5550	304	16	language	language	NOUN
cana-5550	304	17	understanding	understanding	NOUN
cana-5550	304	18	by	by	ADP
cana-5550	304	19	generative	generative	ADJ
cana-5550	304	20	pre	pre	NOUN
cana-5550	304	21	-	-	NOUN
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cana-5550	304	23	.	.	PUNCT
cana-5550	305	1	[	[	X
cana-5550	305	2	20	20	NUM
cana-5550	305	3	]	]	X
cana-5550	305	4	vijayashree	vijayashree	PROPN
cana-5550	305	5	j	j	PROPN
cana-5550	305	6	,	,	PUNCT
cana-5550	305	7	parveen	parveen	PROPN
cana-5550	305	8	sultana	sultana	PROPN
cana-5550	305	9	h.	h.	PROPN
cana-5550	305	10	heart	heart	PROPN
cana-5550	305	11	disease	disease	NOUN
cana-5550	305	12	classification	classification	NOUN
cana-5550	305	13	using	use	VERB
cana-5550	305	14	hybridized	hybridize	VERB
cana-5550	305	15	ruzzo	ruzzo	NOUN
cana-5550	305	16	-	-	PUNCT
cana-5550	305	17	tompa	tompa	NOUN
cana-5550	305	18	memetic	memetic	ADJ
cana-5550	305	19	based	base	VERB
cana-5550	305	20	deep	deep	ADV
cana-5550	305	21	trained	train	VERB
cana-5550	305	22	neocognitron	neocognitron	PROPN
cana-5550	305	23	neural	neural	ADJ
cana-5550	305	24	network	network	NOUN
cana-5550	305	25	.	.	PUNCT
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cana-5550	306	2	and	and	CCONJ
cana-5550	306	3	technology	technology	NOUN
cana-5550	306	4	.	.	PUNCT
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cana-5550	307	2	-	-	SYM
cana-5550	307	3	16	16	NUM
cana-5550	307	4	.	.	PUNCT
cana-5550	308	1	[	[	X
cana-5550	308	2	21	21	NUM
cana-5550	308	3	]	]	X
cana-5550	308	4	bae	bae	PROPN
cana-5550	308	5	k	k	PROPN
cana-5550	308	6	,	,	PUNCT
cana-5550	308	7	ko	ko	PROPN
cana-5550	308	8	y.	y.	PROPN
cana-5550	308	9	improving	improve	VERB
cana-5550	308	10	question	question	NOUN
cana-5550	308	11	retrieval	retrieval	NOUN
cana-5550	308	12	in	in	ADP
cana-5550	308	13	community	community	NOUN
cana-5550	308	14	question	question	NOUN
cana-5550	308	15	answering	answer	VERB
cana-5550	308	16	service	service	NOUN
cana-5550	308	17	using	use	VERB
cana-5550	308	18	dependency	dependency	NOUN
cana-5550	308	19	relations	relation	NOUN
cana-5550	308	20	and	and	CCONJ
cana-5550	308	21	question	question	VERB
cana-5550	308	22	classification	classification	NOUN
cana-5550	308	23	.	.	PUNCT
cana-5550	309	1	journal	journal	NOUN
cana-5550	309	2	of	of	ADP
cana-5550	309	3	the	the	DET
cana-5550	309	4	association	association	NOUN
cana-5550	309	5	for	for	ADP
cana-5550	309	6	information	information	NOUN
cana-5550	309	7	science	science	NOUN
cana-5550	309	8	and	and	CCONJ
cana-5550	309	9	technology	technology	NOUN
cana-5550	309	10	.	.	PUNCT
cana-5550	310	1	2019;70(11):1194	2019;70(11):1194	NUM
cana-5550	310	2	-	-	SYM
cana-5550	310	3	209	209	NUM
cana-5550	310	4	.	.	PUNCT
cana-5550	311	1	[	[	X
cana-5550	311	2	22	22	NUM
cana-5550	311	3	]	]	PUNCT
cana-5550	311	4	saedi	saedi	PROPN
cana-5550	311	5	c	c	PROPN
cana-5550	311	6	,	,	PUNCT
cana-5550	311	7	rodrigues	rodrigues	PROPN
cana-5550	311	8	j	j	PROPN
cana-5550	311	9	,	,	PUNCT
cana-5550	311	10	silva	silva	PROPN
cana-5550	311	11	j	j	PROPN
cana-5550	311	12	,	,	PUNCT
cana-5550	311	13	branco	branco	PROPN
cana-5550	311	14	a	a	PRON
cana-5550	311	15	,	,	PUNCT
cana-5550	311	16	maraev	maraev	NOUN
cana-5550	311	17	v.	v.	ADP
cana-5550	311	18	learning	learn	VERB
cana-5550	311	19	profiles	profile	NOUN
cana-5550	311	20	in	in	ADP
cana-5550	311	21	duplicate	duplicate	ADJ
cana-5550	311	22	question	question	NOUN
cana-5550	311	23	detection	detection	NOUN
cana-5550	311	24	.	.	PUNCT
cana-5550	312	1	in2017	in2017	PROPN
cana-5550	312	2	ieee	ieee	PROPN
cana-5550	312	3	international	international	PROPN
cana-5550	312	4	conference	conference	NOUN
cana-5550	312	5	on	on	ADP
cana-5550	312	6	information	information	NOUN
cana-5550	312	7	reuse	reuse	NOUN
cana-5550	312	8	and	and	CCONJ
cana-5550	312	9	integration	integration	NOUN
cana-5550	312	10	(	(	PUNCT
cana-5550	312	11	iri	iri	NOUN
cana-5550	312	12	)	)	PUNCT
cana-5550	312	13	2017	2017	NUM
cana-5550	312	14	(	(	PUNCT
cana-5550	312	15	pp	pp	ADJ
cana-5550	312	16	.	.	PUNCT
cana-5550	313	1	544	544	NUM
cana-5550	313	2	-	-	SYM
cana-5550	313	3	550	550	NUM
cana-5550	313	4	)	)	PUNCT
cana-5550	313	5	.	.	PUNCT
cana-5550	314	1	ieee	ieee	PROPN
cana-5550	314	2	.	.	PUNCT