id	sid	tid	token	lemma	pos
fcis-25930	1	1	frontiers	frontier	NOUN
fcis-25930	1	2	in	in	ADP
fcis-25930	1	3	computing	computing	NOUN
fcis-25930	1	4	and	and	CCONJ
fcis-25930	1	5	intelligent	intelligent	ADJ
fcis-25930	1	6	systems	system	NOUN
fcis-25930	1	7	issn	issn	VERB
fcis-25930	1	8	:	:	PUNCT
fcis-25930	1	9	2832	2832	NUM
fcis-25930	1	10	-	-	SYM
fcis-25930	1	11	6024	6024	NUM
fcis-25930	1	12	|	|	NOUN
fcis-25930	1	13	vol	vol	NOUN
fcis-25930	1	14	.	.	PROPN
fcis-25930	2	1	9	9	NUM
fcis-25930	2	2	,	,	PUNCT
fcis-25930	2	3	no	no	INTJ
fcis-25930	2	4	.	.	NOUN
fcis-25930	2	5	3	3	NUM
fcis-25930	2	6	,	,	PUNCT
fcis-25930	2	7	2024	2024	NUM
fcis-25930	2	8	64	64	NUM
fcis-25930	2	9	advancing	advance	VERB
fcis-25930	2	10	structured	structured	ADJ
fcis-25930	2	11	query	query	NOUN
fcis-25930	2	12	processing	processing	NOUN
fcis-25930	2	13	in	in	ADP
fcis-25930	2	14	retrieval‐	retrieval‐	ADJ
fcis-25930	2	15	augmented	augment	VERB
fcis-25930	2	16	generation	generation	NOUN
fcis-25930	2	17	with	with	ADP
fcis-25930	2	18	generative	generative	ADJ
fcis-25930	2	19	semantic	semantic	ADJ
fcis-25930	2	20	integration	integration	NOUN
fcis-25930	2	21	yihe	yihe	NOUN
fcis-25930	2	22	yang	yang	PROPN
fcis-25930	2	23	1	1	NUM
fcis-25930	2	24	,	,	PUNCT
fcis-25930	2	25	xiaoming	xiaome	VERB
fcis-25930	2	26	li	li	PROPN
fcis-25930	2	27	2	2	NUM
fcis-25930	2	28	,	,	PUNCT
fcis-25930	2	29	hongwei	hongwei	PROPN
fcis-25930	2	30	jin	jin	PROPN
fcis-25930	2	31	3	3	NUM
fcis-25930	2	32	,	,	PUNCT
fcis-25930	2	33	kun	kun	PROPN
fcis-25930	2	34	huang	huang	PROPN
fcis-25930	2	35	3	3	NUM
fcis-25930	2	36	,	,	PUNCT
fcis-25930	2	37	*	*	PUNCT
fcis-25930	2	38	1	1	NUM
fcis-25930	2	39	school	school	NOUN
fcis-25930	2	40	of	of	ADP
fcis-25930	2	41	science	science	NOUN
fcis-25930	2	42	,	,	PUNCT
fcis-25930	2	43	zhejiang	zhejiang	PROPN
fcis-25930	2	44	university	university	PROPN
fcis-25930	2	45	of	of	ADP
fcis-25930	2	46	science	science	NOUN
fcis-25930	2	47	and	and	CCONJ
fcis-25930	2	48	technology	technology	NOUN
fcis-25930	2	49	,	,	PUNCT
fcis-25930	2	50	hangzhou	hangzhou	PROPN
fcis-25930	2	51	,	,	PUNCT
fcis-25930	2	52	zhejiang	zhejiang	PROPN
fcis-25930	2	53	,	,	PUNCT
fcis-25930	2	54	china	china	PROPN
fcis-25930	2	55	2	2	NUM
fcis-25930	2	56	eit	eit	PROPN
fcis-25930	2	57	data	datum	NOUN
fcis-25930	2	58	science	science	NOUN
fcis-25930	2	59	and	and	CCONJ
fcis-25930	2	60	communication	communication	NOUN
fcis-25930	2	61	college	college	NOUN
fcis-25930	2	62	,	,	PUNCT
fcis-25930	2	63	zhejiang	zhejiang	PROPN
fcis-25930	2	64	yuexiu	yuexiu	PROPN
fcis-25930	2	65	university	university	PROPN
fcis-25930	2	66	,	,	PUNCT
fcis-25930	2	67	shaoxing	shaoxing	PROPN
fcis-25930	2	68	,	,	PUNCT
fcis-25930	2	69	zhejiang	zhejiang	PROPN
fcis-25930	2	70	,	,	PUNCT
fcis-25930	2	71	china	china	PROPN
fcis-25930	2	72	3	3	NUM
fcis-25930	2	73	college	college	PROPN
fcis-25930	2	74	of	of	ADP
fcis-25930	2	75	international	international	ADJ
fcis-25930	2	76	business	business	NOUN
fcis-25930	2	77	,	,	PUNCT
fcis-25930	2	78	zhejiang	zhejiang	PROPN
fcis-25930	2	79	yuexiu	yuexiu	PROPN
fcis-25930	2	80	university	university	PROPN
fcis-25930	2	81	,	,	PUNCT
fcis-25930	2	82	shaoxing	shaoxing	PROPN
fcis-25930	2	83	,	,	PUNCT
fcis-25930	2	84	zhejiang	zhejiang	PROPN
fcis-25930	2	85	,	,	PUNCT
fcis-25930	2	86	china	china	PROPN
fcis-25930	2	87	*	*	PUNCT
fcis-25930	2	88	corresponding	correspond	VERB
fcis-25930	2	89	author	author	NOUN
fcis-25930	2	90	:	:	PUNCT
fcis-25930	2	91	kun	kun	PROPN
fcis-25930	2	92	huang	huang	PROPN
fcis-25930	2	93	(	(	PUNCT
fcis-25930	2	94	email	email	NOUN
fcis-25930	2	95	:	:	PUNCT
fcis-25930	2	96	hkun@zust.edu.cn	hkun@zust.edu.cn	NOUN
fcis-25930	2	97	)	)	PUNCT
fcis-25930	2	98	abstract	abstract	NOUN
fcis-25930	2	99	:	:	PUNCT
fcis-25930	2	100	retrieval	retrieval	NOUN
fcis-25930	2	101	-	-	PUNCT
fcis-25930	2	102	augmented	augment	VERB
fcis-25930	2	103	generation	generation	NOUN
fcis-25930	2	104	(	(	PUNCT
fcis-25930	2	105	rag	rag	NOUN
fcis-25930	2	106	)	)	PUNCT
fcis-25930	2	107	has	have	AUX
fcis-25930	2	108	become	become	VERB
fcis-25930	2	109	a	a	DET
fcis-25930	2	110	pivotal	pivotal	ADJ
fcis-25930	2	111	approach	approach	NOUN
fcis-25930	2	112	in	in	ADP
fcis-25930	2	113	enhancing	enhance	VERB
fcis-25930	2	114	language	language	NOUN
fcis-25930	2	115	models	model	NOUN
fcis-25930	2	116	by	by	ADP
fcis-25930	2	117	incorporating	incorporate	VERB
fcis-25930	2	118	external	external	ADJ
fcis-25930	2	119	knowledge	knowledge	NOUN
fcis-25930	2	120	during	during	ADP
fcis-25930	2	121	the	the	DET
fcis-25930	2	122	text	text	NOUN
fcis-25930	2	123	generation	generation	NOUN
fcis-25930	2	124	process	process	NOUN
fcis-25930	2	125	.	.	PUNCT
fcis-25930	3	1	however	however	ADV
fcis-25930	3	2	,	,	PUNCT
fcis-25930	3	3	traditional	traditional	ADJ
fcis-25930	3	4	rag	rag	NOUN
fcis-25930	3	5	systems	system	NOUN
fcis-25930	3	6	often	often	ADV
fcis-25930	3	7	face	face	VERB
fcis-25930	3	8	challenges	challenge	NOUN
fcis-25930	3	9	in	in	ADP
fcis-25930	3	10	processing	process	VERB
fcis-25930	3	11	structured	structure	VERB
fcis-25930	3	12	queries	query	NOUN
fcis-25930	3	13	,	,	PUNCT
fcis-25930	3	14	leading	lead	VERB
fcis-25930	3	15	to	to	ADP
fcis-25930	3	16	suboptimal	suboptimal	ADJ
fcis-25930	3	17	integration	integration	NOUN
fcis-25930	3	18	of	of	ADP
fcis-25930	3	19	retrieved	retrieve	VERB
fcis-25930	3	20	information	information	NOUN
fcis-25930	3	21	.	.	PUNCT
fcis-25930	4	1	in	in	ADP
fcis-25930	4	2	this	this	DET
fcis-25930	4	3	paper	paper	NOUN
fcis-25930	4	4	,	,	PUNCT
fcis-25930	4	5	we	we	PRON
fcis-25930	4	6	introduce	introduce	VERB
fcis-25930	4	7	a	a	DET
fcis-25930	4	8	novel	novel	ADJ
fcis-25930	4	9	method	method	NOUN
fcis-25930	4	10	called	call	VERB
fcis-25930	4	11	generative	generative	ADJ
fcis-25930	4	12	semantic	semantic	ADJ
fcis-25930	4	13	integration	integration	NOUN
fcis-25930	4	14	(	(	PUNCT
fcis-25930	4	15	gsi	gsi	PROPN
fcis-25930	4	16	)	)	PUNCT
fcis-25930	4	17	,	,	PUNCT
fcis-25930	4	18	which	which	PRON
fcis-25930	4	19	advances	advance	VERB
fcis-25930	4	20	structured	structure	VERB
fcis-25930	4	21	query	query	NOUN
fcis-25930	4	22	processing	processing	NOUN
fcis-25930	4	23	within	within	ADP
fcis-25930	4	24	rag	rag	NOUN
fcis-25930	4	25	frameworks	framework	NOUN
fcis-25930	4	26	.	.	PUNCT
fcis-25930	5	1	gsi	gsi	NOUN
fcis-25930	5	2	leverages	leverage	NOUN
fcis-25930	5	3	generative	generative	ADJ
fcis-25930	5	4	models	model	NOUN
fcis-25930	5	5	to	to	PART
fcis-25930	5	6	semantically	semantically	ADV
fcis-25930	5	7	integrate	integrate	VERB
fcis-25930	5	8	structured	structured	ADJ
fcis-25930	5	9	queries	query	NOUN
fcis-25930	5	10	with	with	ADP
fcis-25930	5	11	retrieved	retrieve	VERB
fcis-25930	5	12	data	datum	NOUN
fcis-25930	5	13	,	,	PUNCT
fcis-25930	5	14	enabling	enable	VERB
fcis-25930	5	15	more	more	ADV
fcis-25930	5	16	coherent	coherent	ADJ
fcis-25930	5	17	and	and	CCONJ
fcis-25930	5	18	contextually	contextually	ADV
fcis-25930	5	19	relevant	relevant	ADJ
fcis-25930	5	20	responses	response	NOUN
fcis-25930	5	21	.	.	PUNCT
fcis-25930	6	1	our	our	PRON
fcis-25930	6	2	experiments	experiment	NOUN
fcis-25930	6	3	on	on	ADP
fcis-25930	6	4	benchmark	benchmark	NOUN
fcis-25930	6	5	datasets	dataset	NOUN
fcis-25930	6	6	demonstrate	demonstrate	VERB
fcis-25930	6	7	that	that	SCONJ
fcis-25930	6	8	gsi	gsi	PROPN
fcis-25930	6	9	significantly	significantly	ADV
fcis-25930	6	10	improves	improve	VERB
fcis-25930	6	11	the	the	DET
fcis-25930	6	12	performance	performance	NOUN
fcis-25930	6	13	of	of	ADP
fcis-25930	6	14	rag	rag	NOUN
fcis-25930	6	15	systems	system	NOUN
fcis-25930	6	16	in	in	ADP
fcis-25930	6	17	structured	structured	ADJ
fcis-25930	6	18	query	query	NOUN
fcis-25930	6	19	understanding	understanding	NOUN
fcis-25930	6	20	and	and	CCONJ
fcis-25930	6	21	response	response	NOUN
fcis-25930	6	22	generation	generation	NOUN
fcis-25930	6	23	,	,	PUNCT
fcis-25930	6	24	outperforming	outperform	VERB
fcis-25930	6	25	existing	exist	VERB
fcis-25930	6	26	baseline	baseline	NOUN
fcis-25930	6	27	models	model	NOUN
fcis-25930	6	28	.	.	PUNCT
fcis-25930	7	1	keywords	keyword	NOUN
fcis-25930	7	2	:	:	PUNCT
fcis-25930	7	3	retrieval	retrieval	NOUN
fcis-25930	7	4	-	-	PUNCT
fcis-25930	7	5	augmented	augment	VERB
fcis-25930	7	6	generation	generation	NOUN
fcis-25930	7	7	;	;	PUNCT
fcis-25930	7	8	structured	structured	ADJ
fcis-25930	7	9	query	query	NOUN
fcis-25930	7	10	processing	processing	NOUN
fcis-25930	7	11	;	;	PUNCT
fcis-25930	7	12	semantic	semantic	ADJ
fcis-25930	7	13	integration	integration	NOUN
fcis-25930	7	14	.	.	PUNCT
fcis-25930	8	1	1	1	X
fcis-25930	8	2	.	.	X
fcis-25930	8	3	introduction	introduction	NOUN
fcis-25930	8	4	1.1	1.1	NUM
fcis-25930	8	5	.	.	PUNCT
fcis-25930	9	1	background	background	NOUN
fcis-25930	9	2	the	the	DET
fcis-25930	9	3	advent	advent	NOUN
fcis-25930	9	4	of	of	ADP
fcis-25930	9	5	large	large	ADJ
fcis-25930	9	6	-	-	PUNCT
fcis-25930	9	7	scale	scale	NOUN
fcis-25930	9	8	language	language	NOUN
fcis-25930	9	9	models	model	NOUN
fcis-25930	9	10	has	have	AUX
fcis-25930	9	11	significantly	significantly	ADV
fcis-25930	9	12	advanced	advance	VERB
fcis-25930	9	13	the	the	DET
fcis-25930	9	14	field	field	NOUN
fcis-25930	9	15	of	of	ADP
fcis-25930	9	16	natural	natural	ADJ
fcis-25930	9	17	language	language	NOUN
fcis-25930	9	18	processing	processing	NOUN
fcis-25930	9	19	(	(	PUNCT
fcis-25930	9	20	nlp)[1][2	nlp)[1][2	X
fcis-25930	9	21	]	]	PUNCT
fcis-25930	9	22	,	,	PUNCT
fcis-25930	9	23	enabling	enable	VERB
fcis-25930	9	24	machines	machine	NOUN
fcis-25930	9	25	to	to	PART
fcis-25930	9	26	generate	generate	VERB
fcis-25930	9	27	human	human	ADJ
fcis-25930	9	28	-	-	PUNCT
fcis-25930	9	29	like	like	ADJ
fcis-25930	9	30	text	text	NOUN
fcis-25930	9	31	across	across	ADP
fcis-25930	9	32	a	a	DET
fcis-25930	9	33	variety	variety	NOUN
fcis-25930	9	34	of	of	ADP
fcis-25930	9	35	applications	application	NOUN
fcis-25930	9	36	.	.	PUNCT
fcis-25930	10	1	models	model	NOUN
fcis-25930	10	2	powered	power	VERB
fcis-25930	10	3	by	by	ADP
fcis-25930	10	4	deep	deep	ADJ
fcis-25930	10	5	learning	learning	NOUN
fcis-25930	10	6	architectures	architecture	NOUN
fcis-25930	10	7	,	,	PUNCT
fcis-25930	10	8	such	such	ADJ
fcis-25930	10	9	as	as	ADP
fcis-25930	10	10	transformers	transformer	NOUN
fcis-25930	10	11	,	,	PUNCT
fcis-25930	10	12	have	have	AUX
fcis-25930	10	13	demonstrated	demonstrate	VERB
fcis-25930	10	14	proficiency	proficiency	NOUN
fcis-25930	10	15	in	in	ADP
fcis-25930	10	16	tasks	task	NOUN
fcis-25930	10	17	ranging	range	VERB
fcis-25930	10	18	from	from	ADP
fcis-25930	10	19	machine	machine	NOUN
fcis-25930	10	20	translation	translation	NOUN
fcis-25930	10	21	and	and	CCONJ
fcis-25930	10	22	summarization	summarization	NOUN
fcis-25930	10	23	to	to	PART
fcis-25930	10	24	question	question	VERB
fcis-25930	10	25	answering	answering	NOUN
fcis-25930	10	26	and	and	CCONJ
fcis-25930	10	27	conversational	conversational	ADJ
fcis-25930	10	28	agents	agent	NOUN
fcis-25930	10	29	.	.	PUNCT
fcis-25930	11	1	[	[	X
fcis-25930	11	2	3][4]despite	3][4]despite	NUM
fcis-25930	11	3	these	these	DET
fcis-25930	11	4	advancements	advancement	NOUN
fcis-25930	11	5	,	,	PUNCT
fcis-25930	11	6	language	language	NOUN
fcis-25930	11	7	models	model	NOUN
fcis-25930	11	8	are	be	AUX
fcis-25930	11	9	inherently	inherently	ADV
fcis-25930	11	10	limited	limit	VERB
fcis-25930	11	11	by	by	ADP
fcis-25930	11	12	the	the	DET
fcis-25930	11	13	data	datum	NOUN
fcis-25930	11	14	on	on	ADP
fcis-25930	11	15	which	which	PRON
fcis-25930	11	16	they	they	PRON
fcis-25930	11	17	were	be	AUX
fcis-25930	11	18	trained	train	VERB
fcis-25930	11	19	,	,	PUNCT
fcis-25930	11	20	often	often	ADV
fcis-25930	11	21	leading	lead	VERB
fcis-25930	11	22	to	to	ADP
fcis-25930	11	23	outdated	outdated	ADJ
fcis-25930	11	24	or	or	CCONJ
fcis-25930	11	25	incomplete	incomplete	ADJ
fcis-25930	11	26	knowledge	knowledge	NOUN
fcis-25930	11	27	in	in	ADP
fcis-25930	11	28	their	their	PRON
fcis-25930	11	29	generated	generate	VERB
fcis-25930	11	30	responses	response	NOUN
fcis-25930	11	31	.	.	PUNCT
fcis-25930	12	1	to	to	PART
fcis-25930	12	2	address	address	VERB
fcis-25930	12	3	this	this	DET
fcis-25930	12	4	limitation	limitation	NOUN
fcis-25930	12	5	,	,	PUNCT
fcis-25930	12	6	retrieval	retrieval	NOUN
fcis-25930	12	7	-	-	PUNCT
fcis-25930	12	8	augmented	augment	VERB
fcis-25930	12	9	generation	generation	NOUN
fcis-25930	12	10	(	(	PUNCT
fcis-25930	12	11	rag	rag	NOUN
fcis-25930	12	12	)	)	PUNCT
fcis-25930	12	13	has	have	AUX
fcis-25930	12	14	emerged	emerge	VERB
fcis-25930	12	15	as	as	ADP
fcis-25930	12	16	a	a	DET
fcis-25930	12	17	crucial	crucial	ADJ
fcis-25930	12	18	approach	approach	NOUN
fcis-25930	12	19	for	for	ADP
fcis-25930	12	20	enhancing	enhance	VERB
fcis-25930	12	21	language	language	NOUN
fcis-25930	12	22	models	model	NOUN
fcis-25930	12	23	by	by	ADP
fcis-25930	12	24	integrating	integrate	VERB
fcis-25930	12	25	external	external	ADJ
fcis-25930	12	26	knowledge	knowledge	NOUN
fcis-25930	12	27	sources	source	NOUN
fcis-25930	12	28	during	during	ADP
fcis-25930	12	29	the	the	DET
fcis-25930	12	30	text	text	NOUN
fcis-25930	12	31	generation	generation	NOUN
fcis-25930	12	32	process	process	NOUN
fcis-25930	12	33	.	.	PUNCT
fcis-25930	13	1	rag	rag	NOUN
fcis-25930	13	2	systems	system	NOUN
fcis-25930	13	3	augment	augment	VERB
fcis-25930	13	4	the	the	DET
fcis-25930	13	5	generative	generative	ADJ
fcis-25930	13	6	capabilities	capability	NOUN
fcis-25930	13	7	of	of	ADP
fcis-25930	13	8	language	language	NOUN
fcis-25930	13	9	models	model	NOUN
fcis-25930	13	10	with	with	ADP
fcis-25930	13	11	real	real	ADJ
fcis-25930	13	12	-	-	PUNCT
fcis-25930	13	13	time	time	NOUN
fcis-25930	13	14	retrieval	retrieval	NOUN
fcis-25930	13	15	mechanisms	mechanism	NOUN
fcis-25930	13	16	,	,	PUNCT
fcis-25930	13	17	accessing	access	VERB
fcis-25930	13	18	vast	vast	ADJ
fcis-25930	13	19	repositories	repository	NOUN
fcis-25930	13	20	of	of	ADP
fcis-25930	13	21	information	information	NOUN
fcis-25930	13	22	like	like	ADP
fcis-25930	13	23	databases	database	NOUN
fcis-25930	13	24	,	,	PUNCT
fcis-25930	13	25	knowledge	knowledge	NOUN
fcis-25930	13	26	graphs	graph	NOUN
fcis-25930	13	27	,	,	PUNCT
fcis-25930	13	28	or	or	CCONJ
fcis-25930	13	29	document	document	NOUN
fcis-25930	13	30	collections.[5][6][7][8][9	collections.[5][6][7][8][9	NOUN
fcis-25930	13	31	]	]	PUNCT
fcis-25930	14	1	this	this	DET
fcis-25930	14	2	integration	integration	NOUN
fcis-25930	14	3	ensures	ensure	VERB
fcis-25930	14	4	that	that	SCONJ
fcis-25930	14	5	generated	generate	VERB
fcis-25930	14	6	text	text	NOUN
fcis-25930	14	7	is	be	AUX
fcis-25930	14	8	not	not	PART
fcis-25930	14	9	only	only	ADV
fcis-25930	14	10	coherent	coherent	ADJ
fcis-25930	14	11	and	and	CCONJ
fcis-25930	14	12	contextually	contextually	ADV
fcis-25930	14	13	relevant	relevant	ADJ
fcis-25930	14	14	but	but	CCONJ
fcis-25930	14	15	also	also	ADV
fcis-25930	14	16	enriched	enrich	VERB
fcis-25930	14	17	with	with	ADP
fcis-25930	14	18	up	up	ADP
fcis-25930	14	19	-	-	PUNCT
fcis-25930	14	20	to	to	ADP
fcis-25930	14	21	-	-	PUNCT
fcis-25930	14	22	date	date	NOUN
fcis-25930	14	23	and	and	CCONJ
fcis-25930	14	24	specialized	specialized	ADJ
fcis-25930	14	25	information	information	NOUN
fcis-25930	14	26	.	.	PUNCT
fcis-25930	15	1	applications	application	NOUN
fcis-25930	15	2	of	of	ADP
fcis-25930	15	3	rag	rag	NOUN
fcis-25930	15	4	are	be	AUX
fcis-25930	15	5	widespread	widespread	ADJ
fcis-25930	15	6	and	and	CCONJ
fcis-25930	15	7	impactful	impactful	ADJ
fcis-25930	15	8	.	.	PUNCT
fcis-25930	16	1	in	in	ADP
fcis-25930	16	2	chatbots	chatbot	NOUN
fcis-25930	16	3	and	and	CCONJ
fcis-25930	16	4	virtual	virtual	ADJ
fcis-25930	16	5	assistants	assistant	NOUN
fcis-25930	16	6	,	,	PUNCT
fcis-25930	16	7	rag	rag	NOUN
fcis-25930	16	8	enables	enable	VERB
fcis-25930	16	9	more	more	ADV
fcis-25930	16	10	informative	informative	ADJ
fcis-25930	16	11	and	and	CCONJ
fcis-25930	16	12	accurate	accurate	ADJ
fcis-25930	16	13	interactions	interaction	NOUN
fcis-25930	16	14	by	by	ADP
fcis-25930	16	15	providing	provide	VERB
fcis-25930	16	16	users	user	NOUN
fcis-25930	16	17	with	with	ADP
fcis-25930	16	18	current	current	ADJ
fcis-25930	16	19	information	information	NOUN
fcis-25930	16	20	and	and	CCONJ
fcis-25930	16	21	personalized	personalize	VERB
fcis-25930	16	22	responses[10][11	responses[10][11	PROPN
fcis-25930	16	23	]	]	PUNCT
fcis-25930	16	24	.	.	PUNCT
fcis-25930	17	1	in	in	ADP
fcis-25930	17	2	information	information	NOUN
fcis-25930	17	3	retrieval	retrieval	NOUN
fcis-25930	17	4	systems	system	NOUN
fcis-25930	17	5	,	,	PUNCT
fcis-25930	17	6	rag	rag	NOUN
fcis-25930	17	7	enhances	enhance	VERB
fcis-25930	17	8	the	the	DET
fcis-25930	17	9	user	user	NOUN
fcis-25930	17	10	experience	experience	NOUN
fcis-25930	17	11	by	by	ADP
fcis-25930	17	12	generating	generate	VERB
fcis-25930	17	13	summaries	summary	NOUN
fcis-25930	17	14	or	or	CCONJ
fcis-25930	17	15	answers	answer	NOUN
fcis-25930	17	16	that	that	PRON
fcis-25930	17	17	directly	directly	ADV
fcis-25930	17	18	incorporate	incorporate	VERB
fcis-25930	17	19	retrieved	retrieve	VERB
fcis-25930	17	20	data	datum	NOUN
fcis-25930	17	21	.	.	PUNCT
fcis-25930	18	1	moreover	moreover	ADV
fcis-25930	18	2	,	,	PUNCT
fcis-25930	18	3	rag	rag	NOUN
fcis-25930	18	4	systems	system	NOUN
fcis-25930	18	5	are	be	AUX
fcis-25930	18	6	instrumental	instrumental	ADJ
fcis-25930	18	7	in	in	ADP
fcis-25930	18	8	domains	domain	NOUN
fcis-25930	18	9	requiring	require	VERB
fcis-25930	18	10	specialized	specialized	ADJ
fcis-25930	18	11	knowledge	knowledge	NOUN
fcis-25930	18	12	,	,	PUNCT
fcis-25930	18	13	such	such	ADJ
fcis-25930	18	14	as	as	ADP
fcis-25930	18	15	medical	medical	ADJ
fcis-25930	18	16	diagnosis	diagnosis	NOUN
fcis-25930	18	17	support	support	NOUN
fcis-25930	18	18	,	,	PUNCT
fcis-25930	18	19	legal	legal	ADJ
fcis-25930	18	20	document	document	NOUN
fcis-25930	18	21	analysis	analysis	NOUN
fcis-25930	18	22	,	,	PUNCT
fcis-25930	18	23	and	and	CCONJ
fcis-25930	18	24	scientific	scientific	ADJ
fcis-25930	18	25	research	research	NOUN
fcis-25930	18	26	assistance	assistance	NOUN
fcis-25930	18	27	.	.	PUNCT
fcis-25930	19	1	1.2	1.2	NUM
fcis-25930	19	2	.	.	PUNCT
fcis-25930	19	3	problem	problem	NOUN
fcis-25930	19	4	statement	statement	NOUN
fcis-25930	19	5	despite	despite	SCONJ
fcis-25930	19	6	the	the	DET
fcis-25930	19	7	advancements	advancement	NOUN
fcis-25930	19	8	brought	bring	VERB
fcis-25930	19	9	by	by	ADP
fcis-25930	19	10	rag	rag	NOUN
fcis-25930	19	11	,	,	PUNCT
fcis-25930	19	12	current	current	ADJ
fcis-25930	19	13	systems	system	NOUN
fcis-25930	19	14	face	face	VERB
fcis-25930	19	15	significant	significant	ADJ
fcis-25930	19	16	challenges	challenge	NOUN
fcis-25930	19	17	when	when	SCONJ
fcis-25930	19	18	processing	process	VERB
fcis-25930	19	19	structured	structured	ADJ
fcis-25930	19	20	queries	query	NOUN
fcis-25930	19	21	—	—	PUNCT
fcis-25930	19	22	queries	query	NOUN
fcis-25930	19	23	formulated	formulate	VERB
fcis-25930	19	24	using	use	VERB
fcis-25930	19	25	formal	formal	ADJ
fcis-25930	19	26	languages	language	NOUN
fcis-25930	19	27	or	or	CCONJ
fcis-25930	19	28	specific	specific	ADJ
fcis-25930	19	29	syntaxes	syntax	NOUN
fcis-25930	19	30	,	,	PUNCT
fcis-25930	19	31	such	such	ADJ
fcis-25930	19	32	as	as	ADP
fcis-25930	19	33	sql	sql	NOUN
fcis-25930	19	34	for	for	ADP
fcis-25930	19	35	databases	database	NOUN
fcis-25930	19	36	or	or	CCONJ
fcis-25930	19	37	sparql	sparql	NOUN
fcis-25930	19	38	for	for	ADP
fcis-25930	19	39	knowledge	knowledge	NOUN
fcis-25930	19	40	graphs[12][13	graphs[12][13	PROPN
fcis-25930	19	41	]	]	PUNCT
fcis-25930	19	42	.	.	PUNCT
fcis-25930	20	1	traditional	traditional	ADJ
fcis-25930	20	2	rag	rag	NOUN
fcis-25930	20	3	models	model	NOUN
fcis-25930	20	4	excel	excel	VERB
fcis-25930	20	5	at	at	ADP
fcis-25930	20	6	handling	handle	VERB
fcis-25930	20	7	unstructured	unstructured	ADJ
fcis-25930	20	8	or	or	CCONJ
fcis-25930	20	9	semi	semi	ADJ
fcis-25930	20	10	-	-	ADJ
fcis-25930	20	11	structured	structured	ADJ
fcis-25930	20	12	text	text	NOUN
fcis-25930	20	13	inputs	input	NOUN
fcis-25930	20	14	but	but	CCONJ
fcis-25930	20	15	often	often	ADV
fcis-25930	20	16	struggle	struggle	VERB
fcis-25930	20	17	with	with	ADP
fcis-25930	20	18	interpreting	interpret	VERB
fcis-25930	20	19	and	and	CCONJ
fcis-25930	20	20	integrating	integrate	VERB
fcis-25930	20	21	information	information	NOUN
fcis-25930	20	22	from	from	ADP
fcis-25930	20	23	structured	structured	ADJ
fcis-25930	20	24	queries[14	queries[14	PROPN
fcis-25930	20	25	]	]	X
fcis-25930	20	26	.	.	PUNCT
fcis-25930	21	1	these	these	DET
fcis-25930	21	2	limitations	limitation	NOUN
fcis-25930	21	3	manifest	manifest	VERB
fcis-25930	21	4	in	in	ADP
fcis-25930	21	5	several	several	ADJ
fcis-25930	21	6	critical	critical	ADJ
fcis-25930	21	7	ways	way	NOUN
fcis-25930	21	8	:	:	PUNCT
fcis-25930	21	9	●	●	PUNCT
fcis-25930	21	10	inability	inability	NOUN
fcis-25930	21	11	to	to	PART
fcis-25930	21	12	solve	solve	VERB
fcis-25930	21	13	complex	complex	ADJ
fcis-25930	21	14	problems	problem	NOUN
fcis-25930	21	15	:	:	PUNCT
fcis-25930	21	16	current	current	ADJ
fcis-25930	21	17	rag	rag	NOUN
fcis-25930	21	18	systems	system	NOUN
fcis-25930	21	19	often	often	ADV
fcis-25930	21	20	fail	fail	VERB
fcis-25930	21	21	to	to	PART
fcis-25930	21	22	address	address	VERB
fcis-25930	21	23	complex	complex	ADJ
fcis-25930	21	24	queries	query	NOUN
fcis-25930	21	25	that	that	PRON
fcis-25930	21	26	require	require	VERB
fcis-25930	21	27	nuanced	nuanced	ADJ
fcis-25930	21	28	reasoning	reasoning	NOUN
fcis-25930	21	29	over	over	ADP
fcis-25930	21	30	structured	structured	ADJ
fcis-25930	21	31	data	datum	NOUN
fcis-25930	21	32	.	.	PUNCT
fcis-25930	22	1	for	for	ADP
fcis-25930	22	2	example	example	NOUN
fcis-25930	22	3	,	,	PUNCT
fcis-25930	22	4	(	(	PUNCT
fcis-25930	22	5	q1	q1	ADV
fcis-25930	22	6	):	):	PUNCT
fcis-25930	22	7	"	"	PUNCT
fcis-25930	22	8	find	find	VERB
fcis-25930	22	9	all	all	DET
fcis-25930	22	10	research	research	NOUN
fcis-25930	22	11	papers	paper	NOUN
fcis-25930	22	12	published	publish	VERB
fcis-25930	22	13	in	in	ADP
fcis-25930	22	14	the	the	DET
fcis-25930	22	15	last	last	ADJ
fcis-25930	22	16	five	five	NUM
fcis-25930	22	17	years	year	NOUN
fcis-25930	22	18	"	"	PUNCT
fcis-25930	22	19	handling	handle	VERB
fcis-25930	22	20	such	such	DET
fcis-25930	22	21	a	a	DET
fcis-25930	22	22	query	query	NOUN
fcis-25930	22	23	necessitates	necessitate	VERB
fcis-25930	22	24	parsing	parse	VERB
fcis-25930	22	25	the	the	DET
fcis-25930	22	26	structured	structured	ADJ
fcis-25930	22	27	components	component	NOUN
fcis-25930	22	28	(	(	PUNCT
fcis-25930	22	29	e.g.	e.g.	ADV
fcis-25930	22	30	,	,	PUNCT
fcis-25930	22	31	publication	publication	NOUN
fcis-25930	22	32	date	date	NOUN
fcis-25930	22	33	,	,	PUNCT
fcis-25930	22	34	citation	citation	NOUN
fcis-25930	22	35	count	count	NOUN
fcis-25930	22	36	)	)	PUNCT
fcis-25930	22	37	and	and	CCONJ
fcis-25930	22	38	integrating	integrate	VERB
fcis-25930	22	39	multiple	multiple	ADJ
fcis-25930	22	40	pieces	piece	NOUN
fcis-25930	22	41	of	of	ADP
fcis-25930	22	42	retrieved	retrieve	VERB
fcis-25930	22	43	data	datum	NOUN
fcis-25930	22	44	into	into	ADP
fcis-25930	22	45	a	a	DET
fcis-25930	22	46	coherent	coherent	ADJ
fcis-25930	22	47	summary	summary	NOUN
fcis-25930	22	48	—	—	PUNCT
fcis-25930	22	49	capabilities	capability	NOUN
fcis-25930	22	50	that	that	PRON
fcis-25930	22	51	exceed	exceed	VERB
fcis-25930	22	52	those	those	PRON
fcis-25930	22	53	of	of	ADP
fcis-25930	22	54	standard	standard	ADJ
fcis-25930	22	55	rag	rag	NOUN
fcis-25930	22	56	models	model	NOUN
fcis-25930	22	57	.	.	PUNCT
fcis-25930	23	1	●	●	PUNCT
fcis-25930	23	2	partial	partial	ADJ
fcis-25930	23	3	or	or	CCONJ
fcis-25930	23	4	incomplete	incomplete	ADJ
fcis-25930	23	5	responses	response	NOUN
fcis-25930	23	6	due	due	ADJ
fcis-25930	23	7	to	to	ADP
fcis-25930	23	8	inadequate	inadequate	ADJ
fcis-25930	23	9	reference	reference	NOUN
fcis-25930	23	10	integration	integration	NOUN
fcis-25930	23	11	:	:	PUNCT
fcis-25930	23	12	rag	rag	NOUN
fcis-25930	23	13	systems	system	NOUN
fcis-25930	23	14	may	may	AUX
fcis-25930	23	15	provide	provide	VERB
fcis-25930	23	16	incomplete	incomplete	ADJ
fcis-25930	23	17	or	or	CCONJ
fcis-25930	23	18	partially	partially	ADV
fcis-25930	23	19	relevant	relevant	ADJ
fcis-25930	23	20	answers	answer	NOUN
fcis-25930	23	21	when	when	SCONJ
fcis-25930	23	22	they	they	PRON
fcis-25930	23	23	can	can	AUX
fcis-25930	23	24	not	not	PART
fcis-25930	23	25	effectively	effectively	ADV
fcis-25930	23	26	incorporate	incorporate	VERB
fcis-25930	23	27	all	all	DET
fcis-25930	23	28	necessary	necessary	ADJ
fcis-25930	23	29	retrieved	retrieve	VERB
fcis-25930	23	30	information	information	NOUN
fcis-25930	23	31	into	into	ADP
fcis-25930	23	32	their	their	PRON
fcis-25930	23	33	responses	response	NOUN
fcis-25930	23	34	.	.	PUNCT
fcis-25930	24	1	for	for	ADP
fcis-25930	24	2	instance	instance	NOUN
fcis-25930	24	3	,	,	PUNCT
fcis-25930	24	4	(	(	PUNCT
fcis-25930	24	5	q2	q2	NOUN
fcis-25930	24	6	):	):	PUNCT
fcis-25930	24	7	"	"	PUNCT
fcis-25930	24	8	what	what	PRON
fcis-25930	24	9	are	be	AUX
fcis-25930	24	10	the	the	DET
fcis-25930	24	11	side	side	NOUN
fcis-25930	24	12	effects	effect	NOUN
fcis-25930	24	13	of	of	ADP
fcis-25930	24	14	combining	combine	VERB
fcis-25930	24	15	drug	drug	NOUN
fcis-25930	24	16	a	a	PRON
fcis-25930	24	17	with	with	ADP
fcis-25930	24	18	drug	drug	NOUN
fcis-25930	24	19	b	b	PROPN
fcis-25930	24	20	in	in	ADP
fcis-25930	24	21	patients	patient	NOUN
fcis-25930	24	22	over	over	ADP
fcis-25930	24	23	60	60	NUM
fcis-25930	24	24	years	year	NOUN
fcis-25930	24	25	old	old	ADJ
fcis-25930	24	26	?	?	PUNCT
fcis-25930	24	27	"	"	PUNCT
fcis-25930	25	1	if	if	SCONJ
fcis-25930	25	2	the	the	DET
fcis-25930	25	3	system	system	NOUN
fcis-25930	25	4	retrieves	retrieve	VERB
fcis-25930	25	5	fragmented	fragmented	ADJ
fcis-25930	25	6	or	or	CCONJ
fcis-25930	25	7	incomplete	incomplete	ADJ
fcis-25930	25	8	data	datum	NOUN
fcis-25930	25	9	about	about	ADP
fcis-25930	25	10	the	the	DET
fcis-25930	25	11	drug	drug	NOUN
fcis-25930	25	12	interactions	interaction	NOUN
fcis-25930	25	13	and	and	CCONJ
fcis-25930	25	14	fails	fail	VERB
fcis-25930	25	15	to	to	PART
fcis-25930	25	16	integrate	integrate	VERB
fcis-25930	25	17	the	the	DET
fcis-25930	25	18	age	age	NOUN
fcis-25930	25	19	-	-	PUNCT
fcis-25930	25	20	specific	specific	ADJ
fcis-25930	25	21	considerations	consideration	NOUN
fcis-25930	25	22	,	,	PUNCT
fcis-25930	25	23	the	the	DET
fcis-25930	25	24	response	response	NOUN
fcis-25930	25	25	may	may	AUX
fcis-25930	25	26	omit	omit	VERB
fcis-25930	25	27	critical	critical	ADJ
fcis-25930	25	28	information	information	NOUN
fcis-25930	25	29	,	,	PUNCT
fcis-25930	25	30	leading	lead	VERB
fcis-25930	25	31	to	to	ADP
fcis-25930	25	32	a	a	DET
fcis-25930	25	33	partial	partial	ADJ
fcis-25930	25	34	and	and	CCONJ
fcis-25930	25	35	potentially	potentially	ADV
fcis-25930	25	36	misleading	misleading	ADJ
fcis-25930	25	37	answer	answer	NOUN
fcis-25930	25	38	.	.	PUNCT
fcis-25930	26	1	these	these	DET
fcis-25930	26	2	challenges	challenge	NOUN
fcis-25930	26	3	stem	stem	VERB
fcis-25930	26	4	from	from	ADP
fcis-25930	26	5	the	the	DET
fcis-25930	26	6	following	following	ADJ
fcis-25930	26	7	issues	issue	NOUN
fcis-25930	26	8	:	:	PUNCT
fcis-25930	26	9	●	●	NUM
fcis-25930	26	10	semantic	semantic	ADJ
fcis-25930	26	11	misalignment	misalignment	NOUN
fcis-25930	26	12	:	:	PUNCT
fcis-25930	26	13	structured	structure	VERB
fcis-25930	26	14	queries	query	NOUN
fcis-25930	26	15	convey	convey	VERB
fcis-25930	26	16	complex	complex	ADJ
fcis-25930	26	17	and	and	CCONJ
fcis-25930	26	18	precise	precise	ADJ
fcis-25930	26	19	user	user	NOUN
fcis-25930	26	20	intents	intent	NOUN
fcis-25930	26	21	that	that	PRON
fcis-25930	26	22	are	be	AUX
fcis-25930	26	23	difficult	difficult	ADJ
fcis-25930	26	24	for	for	SCONJ
fcis-25930	26	25	standard	standard	ADJ
fcis-25930	26	26	rag	rag	NOUN
fcis-25930	26	27	models	model	NOUN
fcis-25930	26	28	to	to	PART
fcis-25930	26	29	interpret	interpret	VERB
fcis-25930	26	30	accurately	accurately	ADV
fcis-25930	26	31	,	,	PUNCT
fcis-25930	26	32	leading	lead	VERB
fcis-25930	26	33	to	to	ADP
fcis-25930	26	34	65	65	NUM
fcis-25930	26	35	incorrect	incorrect	ADJ
fcis-25930	26	36	or	or	CCONJ
fcis-25930	26	37	irrelevant	irrelevant	ADJ
fcis-25930	26	38	information	information	NOUN
fcis-25930	26	39	retrieval	retrieval	NOUN
fcis-25930	26	40	.	.	PUNCT
fcis-25930	27	1	●	●	PUNCT
fcis-25930	27	2	integration	integration	NOUN
fcis-25930	27	3	difficulties	difficulty	NOUN
fcis-25930	27	4	:	:	PUNCT
fcis-25930	27	5	even	even	ADV
fcis-25930	27	6	when	when	SCONJ
fcis-25930	27	7	relevant	relevant	ADJ
fcis-25930	27	8	data	data	NOUN
fcis-25930	27	9	is	be	AUX
fcis-25930	27	10	retrieved	retrieve	VERB
fcis-25930	27	11	,	,	PUNCT
fcis-25930	27	12	integrating	integrate	VERB
fcis-25930	27	13	it	it	PRON
fcis-25930	27	14	into	into	ADP
fcis-25930	27	15	a	a	DET
fcis-25930	27	16	coherent	coherent	ADJ
fcis-25930	27	17	and	and	CCONJ
fcis-25930	27	18	contextually	contextually	ADV
fcis-25930	27	19	appropriate	appropriate	ADJ
fcis-25930	27	20	response	response	NOUN
fcis-25930	27	21	is	be	AUX
fcis-25930	27	22	challenging	challenging	ADJ
fcis-25930	27	23	.	.	PUNCT
fcis-25930	28	1	the	the	DET
fcis-25930	28	2	structured	structured	ADJ
fcis-25930	28	3	nature	nature	NOUN
fcis-25930	28	4	of	of	ADP
fcis-25930	28	5	the	the	DET
fcis-25930	28	6	data	datum	NOUN
fcis-25930	28	7	may	may	AUX
fcis-25930	28	8	not	not	PART
fcis-25930	28	9	seamlessly	seamlessly	ADV
fcis-25930	28	10	fit	fit	VERB
fcis-25930	28	11	into	into	ADP
fcis-25930	28	12	the	the	DET
fcis-25930	28	13	natural	natural	ADJ
fcis-25930	28	14	language	language	NOUN
fcis-25930	28	15	generation	generation	NOUN
fcis-25930	28	16	process	process	NOUN
fcis-25930	28	17	.	.	PUNCT
fcis-25930	29	1	●	●	PUNCT
fcis-25930	29	2	suboptimal	suboptimal	ADJ
fcis-25930	29	3	user	user	NOUN
fcis-25930	29	4	experience	experience	NOUN
fcis-25930	29	5	:	:	PUNCT
fcis-25930	29	6	these	these	DET
fcis-25930	29	7	limitations	limitation	NOUN
fcis-25930	29	8	result	result	VERB
fcis-25930	29	9	in	in	ADP
fcis-25930	29	10	responses	response	NOUN
fcis-25930	29	11	that	that	SCONJ
fcis-25930	29	12	lack	lack	VERB
fcis-25930	29	13	accuracy	accuracy	NOUN
fcis-25930	29	14	,	,	PUNCT
fcis-25930	29	15	specificity	specificity	NOUN
fcis-25930	29	16	,	,	PUNCT
fcis-25930	29	17	or	or	CCONJ
fcis-25930	29	18	usefulness	usefulness	NOUN
fcis-25930	29	19	,	,	PUNCT
fcis-25930	29	20	undermining	undermine	VERB
fcis-25930	29	21	the	the	DET
fcis-25930	29	22	effectiveness	effectiveness	NOUN
fcis-25930	29	23	of	of	ADP
fcis-25930	29	24	applications	application	NOUN
fcis-25930	29	25	relying	rely	VERB
fcis-25930	29	26	on	on	ADP
fcis-25930	29	27	rag	rag	NOUN
fcis-25930	29	28	systems	system	NOUN
fcis-25930	29	29	for	for	ADP
fcis-25930	29	30	structured	structured	ADJ
fcis-25930	29	31	query	query	NOUN
fcis-25930	29	32	processing	processing	NOUN
fcis-25930	29	33	.	.	PUNCT
fcis-25930	30	1	the	the	DET
fcis-25930	30	2	gap	gap	NOUN
fcis-25930	30	3	between	between	ADP
fcis-25930	30	4	the	the	DET
fcis-25930	30	5	capabilities	capability	NOUN
fcis-25930	30	6	of	of	ADP
fcis-25930	30	7	existing	exist	VERB
fcis-25930	30	8	rag	rag	NOUN
fcis-25930	30	9	models	model	NOUN
fcis-25930	30	10	and	and	CCONJ
fcis-25930	30	11	the	the	DET
fcis-25930	30	12	demands	demand	NOUN
fcis-25930	30	13	of	of	ADP
fcis-25930	30	14	complex	complex	ADJ
fcis-25930	30	15	structured	structured	ADJ
fcis-25930	30	16	query	query	NOUN
fcis-25930	30	17	processing	processing	NOUN
fcis-25930	30	18	highlights	highlight	NOUN
fcis-25930	30	19	a	a	DET
fcis-25930	30	20	critical	critical	ADJ
fcis-25930	30	21	area	area	NOUN
fcis-25930	30	22	for	for	ADP
fcis-25930	30	23	improvement	improvement	NOUN
fcis-25930	30	24	.	.	PUNCT
fcis-25930	31	1	as	as	SCONJ
fcis-25930	31	2	users	user	NOUN
fcis-25930	31	3	increasingly	increasingly	ADV
fcis-25930	31	4	interact	interact	VERB
fcis-25930	31	5	with	with	ADP
fcis-25930	31	6	systems	system	NOUN
fcis-25930	31	7	through	through	ADP
fcis-25930	31	8	sophisticated	sophisticated	ADJ
fcis-25930	31	9	queries	query	NOUN
fcis-25930	31	10	—	—	PUNCT
fcis-25930	31	11	expecting	expect	VERB
fcis-25930	31	12	precise	precise	ADJ
fcis-25930	31	13	,	,	PUNCT
fcis-25930	31	14	informative	informative	ADJ
fcis-25930	31	15	,	,	PUNCT
fcis-25930	31	16	and	and	CCONJ
fcis-25930	31	17	contextually	contextually	ADV
fcis-25930	31	18	integrated	integrate	VERB
fcis-25930	31	19	responses	response	NOUN
fcis-25930	31	20	—	—	PUNCT
fcis-25930	31	21	there	there	PRON
fcis-25930	31	22	is	be	VERB
fcis-25930	31	23	an	an	DET
fcis-25930	31	24	urgent	urgent	ADJ
fcis-25930	31	25	need	need	NOUN
fcis-25930	31	26	for	for	ADP
fcis-25930	31	27	solutions	solution	NOUN
fcis-25930	31	28	that	that	PRON
fcis-25930	31	29	enhance	enhance	VERB
fcis-25930	31	30	the	the	DET
fcis-25930	31	31	semantic	semantic	ADJ
fcis-25930	31	32	understanding	understanding	NOUN
fcis-25930	31	33	and	and	CCONJ
fcis-25930	31	34	integration	integration	NOUN
fcis-25930	31	35	capabilities	capability	NOUN
fcis-25930	31	36	of	of	ADP
fcis-25930	31	37	rag	rag	NOUN
fcis-25930	31	38	systems	system	NOUN
fcis-25930	31	39	.	.	PUNCT
fcis-25930	32	1	to	to	PART
fcis-25930	32	2	address	address	VERB
fcis-25930	32	3	these	these	DET
fcis-25930	32	4	challenges	challenge	NOUN
fcis-25930	32	5	,	,	PUNCT
fcis-25930	32	6	we	we	PRON
fcis-25930	32	7	introduce	introduce	VERB
fcis-25930	32	8	generative	generative	ADJ
fcis-25930	32	9	semantic	semantic	ADJ
fcis-25930	32	10	integration	integration	NOUN
fcis-25930	32	11	(	(	PUNCT
fcis-25930	32	12	gsi	gsi	PROPN
fcis-25930	32	13	)	)	PUNCT
fcis-25930	32	14	,	,	PUNCT
fcis-25930	32	15	a	a	DET
fcis-25930	32	16	novel	novel	ADJ
fcis-25930	32	17	method	method	NOUN
fcis-25930	32	18	designed	design	VERB
fcis-25930	32	19	to	to	PART
fcis-25930	32	20	advance	advance	VERB
fcis-25930	32	21	structured	structured	ADJ
fcis-25930	32	22	query	query	NOUN
fcis-25930	32	23	processing	processing	NOUN
fcis-25930	32	24	within	within	ADP
fcis-25930	32	25	retrievalaugmented	retrievalaugmente	VERB
fcis-25930	32	26	generation	generation	NOUN
fcis-25930	32	27	frameworks	framework	NOUN
fcis-25930	32	28	.	.	PUNCT
fcis-25930	33	1	gsi	gsi	NOUN
fcis-25930	33	2	leverages	leverage	VERB
fcis-25930	33	3	the	the	DET
fcis-25930	33	4	strengths	strength	NOUN
fcis-25930	33	5	of	of	ADP
fcis-25930	33	6	generative	generative	ADJ
fcis-25930	33	7	models	model	NOUN
fcis-25930	33	8	to	to	PART
fcis-25930	33	9	semantically	semantically	ADV
fcis-25930	33	10	integrate	integrate	VERB
fcis-25930	33	11	structured	structured	ADJ
fcis-25930	33	12	queries	query	NOUN
fcis-25930	33	13	with	with	ADP
fcis-25930	33	14	retrieved	retrieve	VERB
fcis-25930	33	15	data	datum	NOUN
fcis-25930	33	16	,	,	PUNCT
fcis-25930	33	17	resulting	result	VERB
fcis-25930	33	18	in	in	ADP
fcis-25930	33	19	responses	response	NOUN
fcis-25930	33	20	that	that	PRON
fcis-25930	33	21	are	be	AUX
fcis-25930	33	22	both	both	ADV
fcis-25930	33	23	coherent	coherent	ADJ
fcis-25930	33	24	and	and	CCONJ
fcis-25930	33	25	contextually	contextually	ADV
fcis-25930	33	26	relevant	relevant	ADJ
fcis-25930	33	27	.	.	PUNCT
fcis-25930	34	1	key	key	ADJ
fcis-25930	34	2	aspects	aspect	NOUN
fcis-25930	34	3	of	of	ADP
fcis-25930	34	4	the	the	DET
fcis-25930	34	5	gsi	gsi	PROPN
fcis-25930	34	6	approach	approach	NOUN
fcis-25930	34	7	include	include	VERB
fcis-25930	34	8	:	:	PUNCT
fcis-25930	34	9	●	●	NUM
fcis-25930	34	10	semantic	semantic	ADJ
fcis-25930	34	11	understanding	understanding	NOUN
fcis-25930	34	12	of	of	ADP
fcis-25930	34	13	structured	structured	ADJ
fcis-25930	34	14	queries	query	NOUN
fcis-25930	34	15	:	:	PUNCT
fcis-25930	34	16	gsi	gsi	PROPN
fcis-25930	34	17	employs	employ	VERB
fcis-25930	34	18	advanced	advanced	ADJ
fcis-25930	34	19	parsing	parsing	NOUN
fcis-25930	34	20	techniques	technique	NOUN
fcis-25930	34	21	to	to	PART
fcis-25930	34	22	accurately	accurately	ADV
fcis-25930	34	23	interpret	interpret	VERB
fcis-25930	34	24	the	the	DET
fcis-25930	34	25	user	user	NOUN
fcis-25930	34	26	's	's	PART
fcis-25930	34	27	intent	intent	NOUN
fcis-25930	34	28	encoded	encode	VERB
fcis-25930	34	29	in	in	ADP
fcis-25930	34	30	structured	structured	ADJ
fcis-25930	34	31	queries	query	NOUN
fcis-25930	34	32	.	.	PUNCT
fcis-25930	35	1	by	by	ADP
fcis-25930	35	2	comprehending	comprehend	VERB
fcis-25930	35	3	the	the	DET
fcis-25930	35	4	semantics	semantic	NOUN
fcis-25930	35	5	of	of	ADP
fcis-25930	35	6	the	the	DET
fcis-25930	35	7	query	query	NOUN
fcis-25930	35	8	language	language	NOUN
fcis-25930	35	9	,	,	PUNCT
fcis-25930	35	10	the	the	DET
fcis-25930	35	11	system	system	NOUN
fcis-25930	35	12	can	can	AUX
fcis-25930	35	13	more	more	ADV
fcis-25930	35	14	precisely	precisely	ADV
fcis-25930	35	15	retrieve	retrieve	VERB
fcis-25930	35	16	relevant	relevant	ADJ
fcis-25930	35	17	information	information	NOUN
fcis-25930	35	18	.	.	PUNCT
fcis-25930	36	1	●	●	PUNCT
fcis-25930	36	2	generative	generative	ADJ
fcis-25930	36	3	integration	integration	NOUN
fcis-25930	36	4	:	:	PUNCT
fcis-25930	36	5	unlike	unlike	ADP
fcis-25930	36	6	traditional	traditional	ADJ
fcis-25930	36	7	methods	method	NOUN
fcis-25930	36	8	that	that	PRON
fcis-25930	36	9	may	may	AUX
fcis-25930	36	10	present	present	VERB
fcis-25930	36	11	data	datum	NOUN
fcis-25930	36	12	in	in	ADP
fcis-25930	36	13	a	a	DET
fcis-25930	36	14	disjointed	disjointed	ADJ
fcis-25930	36	15	manner	manner	NOUN
fcis-25930	36	16	,	,	PUNCT
fcis-25930	36	17	gsi	gsi	PROPN
fcis-25930	36	18	uses	use	VERB
fcis-25930	36	19	generative	generative	ADJ
fcis-25930	36	20	models	model	NOUN
fcis-25930	36	21	to	to	PART
fcis-25930	36	22	seamlessly	seamlessly	ADV
fcis-25930	36	23	integrate	integrate	VERB
fcis-25930	36	24	retrieved	retrieve	VERB
fcis-25930	36	25	data	datum	NOUN
fcis-25930	36	26	into	into	ADP
fcis-25930	36	27	natural	natural	ADJ
fcis-25930	36	28	language	language	NOUN
fcis-25930	36	29	responses	response	NOUN
fcis-25930	36	30	.	.	PUNCT
fcis-25930	37	1	this	this	PRON
fcis-25930	37	2	ensures	ensure	VERB
fcis-25930	37	3	that	that	SCONJ
fcis-25930	37	4	the	the	DET
fcis-25930	37	5	output	output	NOUN
fcis-25930	37	6	is	be	AUX
fcis-25930	37	7	informative	informative	ADJ
fcis-25930	37	8	,	,	PUNCT
fcis-25930	37	9	fluid	fluid	ADJ
fcis-25930	37	10	,	,	PUNCT
fcis-25930	37	11	and	and	CCONJ
fcis-25930	37	12	conversational	conversational	ADJ
fcis-25930	37	13	.	.	PUNCT
fcis-25930	38	1	●	●	PUNCT
fcis-25930	38	2	enhanced	enhance	VERB
fcis-25930	38	3	coherence	coherence	NOUN
fcis-25930	38	4	and	and	CCONJ
fcis-25930	38	5	relevance	relevance	NOUN
fcis-25930	38	6	:	:	PUNCT
fcis-25930	38	7	by	by	ADP
fcis-25930	38	8	bridging	bridge	VERB
fcis-25930	38	9	the	the	DET
fcis-25930	38	10	gap	gap	NOUN
fcis-25930	38	11	between	between	ADP
fcis-25930	38	12	structured	structured	ADJ
fcis-25930	38	13	data	datum	NOUN
fcis-25930	38	14	and	and	CCONJ
fcis-25930	38	15	natural	natural	ADJ
fcis-25930	38	16	language	language	NOUN
fcis-25930	38	17	,	,	PUNCT
fcis-25930	38	18	gsi	gsi	PROPN
fcis-25930	38	19	enables	enable	VERB
fcis-25930	38	20	the	the	DET
fcis-25930	38	21	generation	generation	NOUN
fcis-25930	38	22	of	of	ADP
fcis-25930	38	23	responses	response	NOUN
fcis-25930	38	24	that	that	SCONJ
fcis-25930	38	25	closely	closely	ADV
fcis-25930	38	26	align	align	VERB
fcis-25930	38	27	with	with	ADP
fcis-25930	38	28	the	the	DET
fcis-25930	38	29	user	user	NOUN
fcis-25930	38	30	's	's	PART
fcis-25930	38	31	query	query	NOUN
fcis-25930	38	32	,	,	PUNCT
fcis-25930	38	33	improving	improve	VERB
fcis-25930	38	34	both	both	CCONJ
fcis-25930	38	35	the	the	DET
fcis-25930	38	36	accuracy	accuracy	NOUN
fcis-25930	38	37	and	and	CCONJ
fcis-25930	38	38	utility	utility	NOUN
fcis-25930	38	39	of	of	ADP
fcis-25930	38	40	the	the	DET
fcis-25930	38	41	system	system	NOUN
fcis-25930	38	42	.	.	PUNCT
fcis-25930	39	1	the	the	DET
fcis-25930	39	2	primary	primary	ADJ
fcis-25930	39	3	contributions	contribution	NOUN
fcis-25930	39	4	and	and	CCONJ
fcis-25930	39	5	objectives	objective	NOUN
fcis-25930	39	6	of	of	ADP
fcis-25930	39	7	our	our	PRON
fcis-25930	39	8	paper	paper	NOUN
fcis-25930	39	9	are	be	AUX
fcis-25930	39	10	:	:	PUNCT
fcis-25930	39	11	⒈	⒈	NUM
fcis-25930	39	12	developing	develop	VERB
fcis-25930	39	13	the	the	DET
fcis-25930	39	14	gsi	gsi	PROPN
fcis-25930	39	15	framework	framework	NOUN
fcis-25930	39	16	:	:	PUNCT
fcis-25930	39	17	we	we	PRON
fcis-25930	39	18	propose	propose	VERB
fcis-25930	39	19	a	a	DET
fcis-25930	39	20	comprehensive	comprehensive	ADJ
fcis-25930	39	21	framework	framework	NOUN
fcis-25930	39	22	that	that	PRON
fcis-25930	39	23	combines	combine	VERB
fcis-25930	39	24	structured	structured	ADJ
fcis-25930	39	25	query	query	NOUN
fcis-25930	39	26	processing	processing	NOUN
fcis-25930	39	27	with	with	ADP
fcis-25930	39	28	generative	generative	ADJ
fcis-25930	39	29	models	model	NOUN
fcis-25930	39	30	to	to	PART
fcis-25930	39	31	enhance	enhance	VERB
fcis-25930	39	32	the	the	DET
fcis-25930	39	33	capabilities	capability	NOUN
fcis-25930	39	34	of	of	ADP
fcis-25930	39	35	rag	rag	NOUN
fcis-25930	39	36	systems	system	NOUN
fcis-25930	39	37	.	.	PUNCT
fcis-25930	40	1	⒉	⒉	NUM
fcis-25930	40	2	advancing	advance	VERB
fcis-25930	40	3	semantic	semantic	ADJ
fcis-25930	40	4	integration	integration	NOUN
fcis-25930	40	5	techniques	technique	NOUN
fcis-25930	40	6	:	:	PUNCT
fcis-25930	40	7	we	we	PRON
fcis-25930	40	8	introduce	introduce	VERB
fcis-25930	40	9	novel	novel	ADJ
fcis-25930	40	10	methods	method	NOUN
fcis-25930	40	11	for	for	ADP
fcis-25930	40	12	the	the	DET
fcis-25930	40	13	semantic	semantic	ADJ
fcis-25930	40	14	integration	integration	NOUN
fcis-25930	40	15	of	of	ADP
fcis-25930	40	16	structured	structured	ADJ
fcis-25930	40	17	queries	query	NOUN
fcis-25930	40	18	and	and	CCONJ
fcis-25930	40	19	retrieved	retrieve	VERB
fcis-25930	40	20	data	datum	NOUN
fcis-25930	40	21	,	,	PUNCT
fcis-25930	40	22	leveraging	leverage	VERB
fcis-25930	40	23	generative	generative	ADJ
fcis-25930	40	24	models	model	NOUN
fcis-25930	40	25	to	to	PART
fcis-25930	40	26	produce	produce	VERB
fcis-25930	40	27	coherent	coherent	ADJ
fcis-25930	40	28	responses	response	NOUN
fcis-25930	40	29	.	.	PUNCT
fcis-25930	41	1	⒊	⒊	NUM
fcis-25930	41	2	empirical	empirical	ADJ
fcis-25930	41	3	demonstration	demonstration	NOUN
fcis-25930	41	4	of	of	ADP
fcis-25930	41	5	effectiveness	effectiveness	NOUN
fcis-25930	41	6	:	:	PUNCT
fcis-25930	41	7	through	through	ADP
fcis-25930	41	8	extensive	extensive	ADJ
fcis-25930	41	9	experiments	experiment	NOUN
fcis-25930	41	10	on	on	ADP
fcis-25930	41	11	benchmark	benchmark	ADJ
fcis-25930	41	12	datasets	dataset	NOUN
fcis-25930	41	13	,	,	PUNCT
fcis-25930	41	14	we	we	PRON
fcis-25930	41	15	demonstrate	demonstrate	VERB
fcis-25930	41	16	that	that	SCONJ
fcis-25930	41	17	gsi	gsi	PROPN
fcis-25930	41	18	significantly	significantly	ADV
fcis-25930	41	19	improves	improve	VERB
fcis-25930	41	20	performance	performance	NOUN
fcis-25930	41	21	in	in	ADP
fcis-25930	41	22	structured	structured	ADJ
fcis-25930	41	23	query	query	NOUN
fcis-25930	41	24	understanding	understanding	NOUN
fcis-25930	41	25	and	and	CCONJ
fcis-25930	41	26	response	response	NOUN
fcis-25930	41	27	generation	generation	NOUN
fcis-25930	41	28	,	,	PUNCT
fcis-25930	41	29	outperforming	outperform	VERB
fcis-25930	41	30	existing	exist	VERB
fcis-25930	41	31	baseline	baseline	NOUN
fcis-25930	41	32	models	model	NOUN
fcis-25930	41	33	.	.	PUNCT
fcis-25930	42	1	the	the	DET
fcis-25930	42	2	remainder	remainder	NOUN
fcis-25930	42	3	of	of	ADP
fcis-25930	42	4	this	this	DET
fcis-25930	42	5	paper	paper	NOUN
fcis-25930	42	6	is	be	AUX
fcis-25930	42	7	organized	organize	VERB
fcis-25930	42	8	as	as	SCONJ
fcis-25930	42	9	follows	follow	VERB
fcis-25930	42	10	.	.	PUNCT
fcis-25930	43	1	in	in	ADP
fcis-25930	43	2	section	section	NOUN
fcis-25930	43	3	2	2	NUM
fcis-25930	43	4	,	,	PUNCT
fcis-25930	43	5	we	we	PRON
fcis-25930	43	6	review	review	VERB
fcis-25930	43	7	related	related	ADJ
fcis-25930	43	8	work	work	NOUN
fcis-25930	43	9	on	on	ADP
fcis-25930	43	10	retrieval	retrieval	NOUN
fcis-25930	43	11	-	-	PUNCT
fcis-25930	43	12	augmented	augment	VERB
fcis-25930	43	13	generation	generation	NOUN
fcis-25930	43	14	,	,	PUNCT
fcis-25930	43	15	structured	structured	ADJ
fcis-25930	43	16	query	query	NOUN
fcis-25930	43	17	processing	processing	NOUN
fcis-25930	43	18	in	in	ADP
fcis-25930	43	19	nlp	nlp	NOUN
fcis-25930	43	20	,	,	PUNCT
fcis-25930	43	21	and	and	CCONJ
fcis-25930	43	22	semantic	semantic	ADJ
fcis-25930	43	23	integration	integration	NOUN
fcis-25930	43	24	techniques	technique	NOUN
fcis-25930	43	25	.	.	PUNCT
fcis-25930	44	1	section	section	NOUN
fcis-25930	44	2	3	3	NUM
fcis-25930	44	3	presents	present	VERB
fcis-25930	44	4	the	the	DET
fcis-25930	44	5	generative	generative	ADJ
fcis-25930	44	6	semantic	semantic	ADJ
fcis-25930	44	7	integration	integration	NOUN
fcis-25930	44	8	(	(	PUNCT
fcis-25930	44	9	gsi	gsi	PROPN
fcis-25930	44	10	)	)	PUNCT
fcis-25930	44	11	methodology	methodology	NOUN
fcis-25930	44	12	,	,	PUNCT
fcis-25930	44	13	including	include	VERB
fcis-25930	44	14	the	the	DET
fcis-25930	44	15	architecture	architecture	NOUN
fcis-25930	44	16	overview	overview	NOUN
fcis-25930	44	17	(	(	PUNCT
fcis-25930	44	18	3.1	3.1	NUM
fcis-25930	44	19	)	)	PUNCT
fcis-25930	44	20	,	,	PUNCT
fcis-25930	44	21	structured	structure	VERB
fcis-25930	44	22	query	query	NOUN
fcis-25930	44	23	processing	processing	NOUN
fcis-25930	44	24	module	module	NOUN
fcis-25930	44	25	(	(	PUNCT
fcis-25930	44	26	3.2	3.2	NUM
fcis-25930	44	27	)	)	PUNCT
fcis-25930	44	28	,	,	PUNCT
fcis-25930	44	29	generative	generative	ADJ
fcis-25930	44	30	integration	integration	NOUN
fcis-25930	44	31	model	model	NOUN
fcis-25930	44	32	(	(	PUNCT
fcis-25930	44	33	3.3	3.3	NUM
fcis-25930	44	34	)	)	PUNCT
fcis-25930	44	35	,	,	PUNCT
fcis-25930	44	36	and	and	CCONJ
fcis-25930	44	37	implementation	implementation	NOUN
fcis-25930	44	38	details	detail	NOUN
fcis-25930	44	39	(	(	PUNCT
fcis-25930	44	40	3.4	3.4	NUM
fcis-25930	44	41	)	)	PUNCT
fcis-25930	44	42	.	.	PUNCT
fcis-25930	45	1	section	section	NOUN
fcis-25930	45	2	4	4	NUM
fcis-25930	45	3	describes	describe	VERB
fcis-25930	45	4	the	the	DET
fcis-25930	45	5	experimental	experimental	ADJ
fcis-25930	45	6	setup	setup	NOUN
fcis-25930	45	7	,	,	PUNCT
fcis-25930	45	8	covering	cover	VERB
fcis-25930	45	9	datasets	dataset	NOUN
fcis-25930	45	10	used	use	VERB
fcis-25930	45	11	(	(	PUNCT
fcis-25930	45	12	4.1	4.1	NUM
fcis-25930	45	13	)	)	PUNCT
fcis-25930	45	14	,	,	PUNCT
fcis-25930	45	15	baseline	baseline	NOUN
fcis-25930	45	16	models	model	NOUN
fcis-25930	45	17	(	(	PUNCT
fcis-25930	45	18	4.2	4.2	NUM
fcis-25930	45	19	)	)	PUNCT
fcis-25930	45	20	,	,	PUNCT
fcis-25930	45	21	evaluation	evaluation	NOUN
fcis-25930	45	22	metrics	metric	NOUN
fcis-25930	45	23	(	(	PUNCT
fcis-25930	45	24	4.3	4.3	NUM
fcis-25930	45	25	)	)	PUNCT
fcis-25930	45	26	,	,	PUNCT
fcis-25930	45	27	and	and	CCONJ
fcis-25930	45	28	performance	performance	NOUN
fcis-25930	45	29	evaluation	evaluation	NOUN
fcis-25930	45	30	(	(	PUNCT
fcis-25930	45	31	4.4	4.4	NUM
fcis-25930	45	32	)	)	PUNCT
fcis-25930	45	33	.	.	PUNCT
fcis-25930	46	1	finally	finally	ADV
fcis-25930	46	2	,	,	PUNCT
fcis-25930	46	3	in	in	ADP
fcis-25930	46	4	section	section	NOUN
fcis-25930	46	5	5	5	NUM
fcis-25930	46	6	,	,	PUNCT
fcis-25930	46	7	we	we	PRON
fcis-25930	46	8	conclude	conclude	VERB
fcis-25930	46	9	with	with	ADP
fcis-25930	46	10	a	a	DET
fcis-25930	46	11	summary	summary	NOUN
fcis-25930	46	12	of	of	ADP
fcis-25930	46	13	our	our	PRON
fcis-25930	46	14	contributions	contribution	NOUN
fcis-25930	46	15	(	(	PUNCT
fcis-25930	46	16	5.1	5.1	NUM
fcis-25930	46	17	)	)	PUNCT
fcis-25930	46	18	and	and	CCONJ
fcis-25930	46	19	discuss	discuss	VERB
fcis-25930	46	20	potential	potential	ADJ
fcis-25930	46	21	directions	direction	NOUN
fcis-25930	46	22	for	for	ADP
fcis-25930	46	23	future	future	ADJ
fcis-25930	46	24	work	work	NOUN
fcis-25930	46	25	(	(	PUNCT
fcis-25930	46	26	5.2	5.2	NUM
fcis-25930	46	27	)	)	PUNCT
fcis-25930	46	28	.	.	PUNCT
fcis-25930	47	1	2	2	X
fcis-25930	47	2	.	.	X
fcis-25930	47	3	related	relate	VERB
fcis-25930	47	4	work	work	NOUN
fcis-25930	47	5	2.1	2.1	NUM
fcis-25930	47	6	.	.	PUNCT
fcis-25930	47	7	retrieval	retrieval	NOUN
fcis-25930	47	8	-	-	PUNCT
fcis-25930	47	9	augmented	augment	VERB
fcis-25930	47	10	generation	generation	NOUN
fcis-25930	47	11	retrieval	retrieval	NOUN
fcis-25930	47	12	-	-	PUNCT
fcis-25930	47	13	augmented	augment	VERB
fcis-25930	47	14	generation	generation	NOUN
fcis-25930	47	15	(	(	PUNCT
fcis-25930	47	16	rag	rag	NOUN
fcis-25930	47	17	)	)	PUNCT
fcis-25930	47	18	has	have	AUX
fcis-25930	47	19	gained	gain	VERB
fcis-25930	47	20	significant	significant	ADJ
fcis-25930	47	21	attention	attention	NOUN
fcis-25930	47	22	as	as	ADP
fcis-25930	47	23	a	a	DET
fcis-25930	47	24	method	method	NOUN
fcis-25930	47	25	to	to	PART
fcis-25930	47	26	enhance	enhance	VERB
fcis-25930	47	27	language	language	NOUN
fcis-25930	47	28	models	model	NOUN
fcis-25930	47	29	by	by	ADP
fcis-25930	47	30	incorporating	incorporate	VERB
fcis-25930	47	31	external	external	ADJ
fcis-25930	47	32	knowledge	knowledge	NOUN
fcis-25930	47	33	during	during	ADP
fcis-25930	47	34	text	text	NOUN
fcis-25930	47	35	generation	generation	NOUN
fcis-25930	47	36	.	.	PUNCT
fcis-25930	48	1	traditional	traditional	ADJ
fcis-25930	48	2	language	language	NOUN
fcis-25930	48	3	models	model	NOUN
fcis-25930	48	4	are	be	AUX
fcis-25930	48	5	trained	train	VERB
fcis-25930	48	6	on	on	ADP
fcis-25930	48	7	static	static	ADJ
fcis-25930	48	8	datasets	dataset	NOUN
fcis-25930	48	9	and	and	CCONJ
fcis-25930	48	10	thus	thus	ADV
fcis-25930	48	11	may	may	AUX
fcis-25930	48	12	not	not	PART
fcis-25930	48	13	possess	possess	VERB
fcis-25930	48	14	up	up	ADP
fcis-25930	48	15	-	-	PUNCT
fcis-25930	48	16	to	to	ADP
fcis-25930	48	17	-	-	PUNCT
fcis-25930	48	18	date	date	NOUN
fcis-25930	48	19	or	or	CCONJ
fcis-25930	48	20	comprehensive	comprehensive	ADJ
fcis-25930	48	21	information[12][15	information[12][15	PROPN
fcis-25930	48	22	]	]	PUNCT
fcis-25930	48	23	.	.	PUNCT
fcis-25930	49	1	rag	rag	NOUN
fcis-25930	49	2	addresses	address	NOUN
fcis-25930	49	3	this	this	DET
fcis-25930	49	4	limitation	limitation	NOUN
fcis-25930	49	5	by	by	ADP
fcis-25930	49	6	integrating	integrate	VERB
fcis-25930	49	7	retrieval	retrieval	NOUN
fcis-25930	49	8	mechanisms	mechanism	NOUN
fcis-25930	49	9	that	that	PRON
fcis-25930	49	10	access	access	VERB
fcis-25930	49	11	external	external	ADJ
fcis-25930	49	12	data	datum	NOUN
fcis-25930	49	13	sources	source	NOUN
fcis-25930	49	14	,	,	PUNCT
fcis-25930	49	15	enabling	enable	VERB
fcis-25930	49	16	models	model	NOUN
fcis-25930	49	17	to	to	PART
fcis-25930	49	18	generate	generate	VERB
fcis-25930	49	19	more	more	ADV
fcis-25930	49	20	accurate	accurate	ADJ
fcis-25930	49	21	and	and	CCONJ
fcis-25930	49	22	contextually	contextually	ADV
fcis-25930	49	23	relevant	relevant	ADJ
fcis-25930	49	24	responses.[16][17	responses.[16][17	PROPN
fcis-25930	49	25	]	]	PUNCT
fcis-25930	49	26	early	early	ADJ
fcis-25930	49	27	rag	rag	NOUN
fcis-25930	49	28	approaches	approach	NOUN
fcis-25930	49	29	involved	involve	VERB
fcis-25930	49	30	augmenting	augment	VERB
fcis-25930	49	31	input	input	NOUN
fcis-25930	49	32	prompts	prompt	NOUN
fcis-25930	49	33	with	with	ADP
fcis-25930	49	34	retrieved	retrieve	VERB
fcis-25930	49	35	documents	document	NOUN
fcis-25930	49	36	or	or	CCONJ
fcis-25930	49	37	passages	passage	NOUN
fcis-25930	49	38	,	,	PUNCT
fcis-25930	49	39	which	which	PRON
fcis-25930	49	40	the	the	DET
fcis-25930	49	41	generative	generative	ADJ
fcis-25930	49	42	model	model	NOUN
fcis-25930	49	43	could	could	AUX
fcis-25930	49	44	then	then	ADV
fcis-25930	49	45	reference[18][19][20	reference[18][19][20	VERB
fcis-25930	49	46	]	]	PUNCT
fcis-25930	49	47	.	.	PUNCT
fcis-25930	50	1	this	this	DET
fcis-25930	50	2	method	method	NOUN
fcis-25930	50	3	allowed	allow	VERB
fcis-25930	50	4	models	model	NOUN
fcis-25930	50	5	to	to	PART
fcis-25930	50	6	produce	produce	VERB
fcis-25930	50	7	outputs	output	NOUN
fcis-25930	50	8	that	that	PRON
fcis-25930	50	9	included	include	VERB
fcis-25930	50	10	factual	factual	ADJ
fcis-25930	50	11	information	information	NOUN
fcis-25930	50	12	not	not	PART
fcis-25930	50	13	present	present	ADJ
fcis-25930	50	14	in	in	ADP
fcis-25930	50	15	their	their	PRON
fcis-25930	50	16	training	training	NOUN
fcis-25930	50	17	data[21][22][23	data[21][22][23	NOUN
fcis-25930	50	18	]	]	PUNCT
fcis-25930	50	19	.	.	PUNCT
fcis-25930	51	1	subsequent	subsequent	ADJ
fcis-25930	51	2	advancements	advancement	NOUN
fcis-25930	51	3	introduced	introduce	VERB
fcis-25930	51	4	endto	endto	NOUN
fcis-25930	51	5	-	-	PUNCT
fcis-25930	51	6	end	end	NOUN
fcis-25930	51	7	frameworks	framework	NOUN
fcis-25930	51	8	where	where	SCONJ
fcis-25930	51	9	the	the	DET
fcis-25930	51	10	retrieval	retrieval	NOUN
fcis-25930	51	11	and	and	CCONJ
fcis-25930	51	12	generation	generation	NOUN
fcis-25930	51	13	components	component	NOUN
fcis-25930	51	14	are	be	AUX
fcis-25930	51	15	jointly	jointly	ADV
fcis-25930	51	16	optimized	optimize	VERB
fcis-25930	51	17	,	,	PUNCT
fcis-25930	51	18	improving	improve	VERB
fcis-25930	51	19	coherence	coherence	NOUN
fcis-25930	51	20	between	between	ADP
fcis-25930	51	21	the	the	DET
fcis-25930	51	22	retrieved	retrieve	VERB
fcis-25930	51	23	content	content	NOUN
fcis-25930	51	24	and	and	CCONJ
fcis-25930	51	25	the	the	DET
fcis-25930	51	26	generated	generate	VERB
fcis-25930	51	27	text	text	NOUN
fcis-25930	51	28	.	.	PUNCT
fcis-25930	52	1	existing	exist	VERB
fcis-25930	52	2	methods	method	NOUN
fcis-25930	52	3	typically	typically	ADV
fcis-25930	52	4	involve	involve	VERB
fcis-25930	52	5	a	a	DET
fcis-25930	52	6	two	two	NUM
fcis-25930	52	7	-	-	PUNCT
fcis-25930	52	8	step	step	NOUN
fcis-25930	52	9	process	process	NOUN
fcis-25930	52	10	:	:	PUNCT
fcis-25930	52	11	first	first	ADV
fcis-25930	52	12	retrieving	retrieve	VERB
fcis-25930	52	13	relevant	relevant	ADJ
fcis-25930	52	14	information	information	NOUN
fcis-25930	52	15	based	base	VERB
fcis-25930	52	16	on	on	ADP
fcis-25930	52	17	the	the	DET
fcis-25930	52	18	input	input	NOUN
fcis-25930	52	19	query	query	NOUN
fcis-25930	52	20	,	,	PUNCT
fcis-25930	52	21	and	and	CCONJ
fcis-25930	52	22	then	then	ADV
fcis-25930	52	23	generating	generate	VERB
fcis-25930	52	24	a	a	DET
fcis-25930	52	25	response	response	NOUN
fcis-25930	52	26	conditioned	condition	VERB
fcis-25930	52	27	on	on	ADP
fcis-25930	52	28	both	both	CCONJ
fcis-25930	52	29	the	the	DET
fcis-25930	52	30	query	query	NOUN
fcis-25930	52	31	and	and	CCONJ
fcis-25930	52	32	the	the	DET
fcis-25930	52	33	retrieved	retrieve	VERB
fcis-25930	52	34	data[24][25][26	data[24][25][26	PROPN
fcis-25930	52	35	]	]	PUNCT
fcis-25930	52	36	.	.	PUNCT
fcis-25930	53	1	techniques	technique	NOUN
fcis-25930	53	2	such	such	ADJ
fcis-25930	53	3	as	as	ADP
fcis-25930	53	4	encoderdecoder	encoderdecoder	PROPN
fcis-25930	53	5	architectures	architecture	NOUN
fcis-25930	53	6	have	have	AUX
fcis-25930	53	7	been	be	AUX
fcis-25930	53	8	employed	employ	VERB
fcis-25930	53	9	to	to	PART
fcis-25930	53	10	facilitate	facilitate	VERB
fcis-25930	53	11	this	this	DET
fcis-25930	53	12	integration	integration	NOUN
fcis-25930	53	13	.	.	PUNCT
fcis-25930	54	1	additionally	additionally	ADV
fcis-25930	54	2	,	,	PUNCT
fcis-25930	54	3	attention	attention	NOUN
fcis-25930	54	4	mechanisms	mechanism	NOUN
fcis-25930	54	5	enable	enable	VERB
fcis-25930	54	6	the	the	DET
fcis-25930	54	7	model	model	NOUN
fcis-25930	54	8	to	to	PART
fcis-25930	54	9	focus	focus	VERB
fcis-25930	54	10	on	on	ADP
fcis-25930	54	11	pertinent	pertinent	ADJ
fcis-25930	54	12	parts	part	NOUN
fcis-25930	54	13	of	of	ADP
fcis-25930	54	14	the	the	DET
fcis-25930	54	15	retrieved	retrieve	VERB
fcis-25930	54	16	information	information	NOUN
fcis-25930	54	17	during	during	ADP
fcis-25930	54	18	generation	generation	NOUN
fcis-25930	54	19	.	.	PUNCT
fcis-25930	55	1	however	however	ADV
fcis-25930	55	2	,	,	PUNCT
fcis-25930	55	3	despite	despite	SCONJ
fcis-25930	55	4	these	these	DET
fcis-25930	55	5	advancements	advancement	NOUN
fcis-25930	55	6	,	,	PUNCT
fcis-25930	55	7	rag	rag	NOUN
fcis-25930	55	8	systems	system	NOUN
fcis-25930	55	9	often	often	ADV
fcis-25930	55	10	face	face	VERB
fcis-25930	55	11	challenges	challenge	NOUN
fcis-25930	55	12	in	in	ADP
fcis-25930	55	13	processing	process	VERB
fcis-25930	55	14	structured	structure	VERB
fcis-25930	55	15	queries	query	NOUN
fcis-25930	55	16	.	.	PUNCT
fcis-25930	56	1	structured	structured	ADJ
fcis-25930	56	2	queries	query	NOUN
fcis-25930	56	3	,	,	PUNCT
fcis-25930	56	4	expressed	express	VERB
fcis-25930	56	5	in	in	ADP
fcis-25930	56	6	formal	formal	ADJ
fcis-25930	56	7	languages	language	NOUN
fcis-25930	56	8	like	like	ADP
fcis-25930	56	9	sql	sql	NOUN
fcis-25930	56	10	or	or	CCONJ
fcis-25930	56	11	sparql	sparql	NOUN
fcis-25930	56	12	,	,	PUNCT
fcis-25930	56	13	contain	contain	VERB
fcis-25930	56	14	precise	precise	ADJ
fcis-25930	56	15	semantics	semantic	NOUN
fcis-25930	56	16	that	that	PRON
fcis-25930	56	17	standard	standard	ADJ
fcis-25930	56	18	language	language	NOUN
fcis-25930	56	19	models	model	NOUN
fcis-25930	56	20	struggle	struggle	VERB
fcis-25930	56	21	to	to	PART
fcis-25930	56	22	interpret	interpret	VERB
fcis-25930	56	23	.	.	PUNCT
fcis-25930	57	1	the	the	DET
fcis-25930	57	2	inability	inability	NOUN
fcis-25930	57	3	to	to	PART
fcis-25930	57	4	effectively	effectively	ADV
fcis-25930	57	5	parse	parse	VERB
fcis-25930	57	6	and	and	CCONJ
fcis-25930	57	7	understand	understand	VERB
fcis-25930	57	8	these	these	DET
fcis-25930	57	9	queries	query	NOUN
fcis-25930	57	10	leads	lead	VERB
fcis-25930	57	11	to	to	ADP
fcis-25930	57	12	suboptimal	suboptimal	ADJ
fcis-25930	57	13	retrieval	retrieval	NOUN
fcis-25930	57	14	and	and	CCONJ
fcis-25930	57	15	integration	integration	NOUN
fcis-25930	57	16	of	of	ADP
fcis-25930	57	17	information	information	NOUN
fcis-25930	57	18	,	,	PUNCT
fcis-25930	57	19	resulting	result	VERB
fcis-25930	57	20	in	in	ADP
fcis-25930	57	21	responses	response	NOUN
fcis-25930	57	22	that	that	PRON
fcis-25930	57	23	may	may	AUX
fcis-25930	57	24	lack	lack	VERB
fcis-25930	57	25	specificity	specificity	NOUN
fcis-25930	57	26	or	or	CCONJ
fcis-25930	57	27	accuracy	accuracy	NOUN
fcis-25930	57	28	when	when	SCONJ
fcis-25930	57	29	addressing	address	VERB
fcis-25930	57	30	the	the	DET
fcis-25930	57	31	user	user	NOUN
fcis-25930	57	32	's	's	PART
fcis-25930	57	33	intent	intent	NOUN
fcis-25930	57	34	.	.	PUNCT
fcis-25930	58	1	moreover	moreover	ADV
fcis-25930	58	2	,	,	PUNCT
fcis-25930	58	3	current	current	ADJ
fcis-25930	58	4	rag	rag	NOUN
fcis-25930	58	5	models	model	NOUN
fcis-25930	58	6	are	be	AUX
fcis-25930	58	7	primarily	primarily	ADV
fcis-25930	58	8	designed	design	VERB
fcis-25930	58	9	to	to	PART
fcis-25930	58	10	handle	handle	VERB
fcis-25930	58	11	unstructured	unstructured	ADJ
fcis-25930	58	12	or	or	CCONJ
fcis-25930	58	13	semi	semi	ADJ
fcis-25930	58	14	-	-	ADJ
fcis-25930	58	15	structured	structured	ADJ
fcis-25930	58	16	text	text	NOUN
fcis-25930	58	17	inputs	input	NOUN
fcis-25930	58	18	.	.	PUNCT
fcis-25930	59	1	when	when	SCONJ
fcis-25930	59	2	presented	present	VERB
fcis-25930	59	3	with	with	ADP
fcis-25930	59	4	structured	structured	ADJ
fcis-25930	59	5	queries	query	NOUN
fcis-25930	59	6	,	,	PUNCT
fcis-25930	59	7	these	these	DET
fcis-25930	59	8	models	model	NOUN
fcis-25930	59	9	may	may	AUX
fcis-25930	59	10	misinterpret	misinterpret	VERB
fcis-25930	59	11	the	the	DET
fcis-25930	59	12	syntax	syntax	NOUN
fcis-25930	59	13	or	or	CCONJ
fcis-25930	59	14	overlook	overlook	VERB
fcis-25930	59	15	critical	critical	ADJ
fcis-25930	59	16	components	component	NOUN
fcis-25930	59	17	,	,	PUNCT
fcis-25930	59	18	leading	lead	VERB
fcis-25930	59	19	to	to	ADP
fcis-25930	59	20	incomplete	incomplete	ADJ
fcis-25930	59	21	or	or	CCONJ
fcis-25930	59	22	irrelevant	irrelevant	ADJ
fcis-25930	59	23	responses[5][27][28][9	responses[5][27][28][9	PROPN
fcis-25930	59	24	]	]	PUNCT
fcis-25930	59	25	.	.	PUNCT
fcis-25930	60	1	this	this	DET
fcis-25930	60	2	limitation	limitation	NOUN
fcis-25930	60	3	highlights	highlight	VERB
fcis-25930	60	4	the	the	DET
fcis-25930	60	5	need	need	NOUN
fcis-25930	60	6	for	for	ADP
fcis-25930	60	7	enhanced	enhanced	ADJ
fcis-25930	60	8	methods	method	NOUN
fcis-25930	60	9	that	that	PRON
fcis-25930	60	10	can	can	AUX
fcis-25930	60	11	bridge	bridge	VERB
fcis-25930	60	12	the	the	DET
fcis-25930	60	13	gap	gap	NOUN
fcis-25930	60	14	between	between	ADP
fcis-25930	60	15	structured	structured	ADJ
fcis-25930	60	16	query	query	NOUN
fcis-25930	60	17	processing	processing	NOUN
fcis-25930	60	18	and	and	CCONJ
fcis-25930	60	19	retrieval	retrieval	NOUN
fcis-25930	60	20	-	-	PUNCT
fcis-25930	60	21	augmented	augment	VERB
fcis-25930	60	22	text	text	NOUN
fcis-25930	60	23	generation	generation	NOUN
fcis-25930	60	24	.	.	PUNCT
fcis-25930	61	1	2.2	2.2	NUM
fcis-25930	61	2	.	.	PUNCT
fcis-25930	62	1	structured	structure	VERB
fcis-25930	62	2	query	query	NOUN
fcis-25930	62	3	processing	processing	NOUN
fcis-25930	62	4	in	in	ADP
fcis-25930	62	5	nlp	nlp	NOUN
fcis-25930	62	6	structured	structure	VERB
fcis-25930	62	7	query	query	NOUN
fcis-25930	62	8	processing	processing	NOUN
fcis-25930	62	9	involves	involve	VERB
fcis-25930	62	10	interpreting	interpret	VERB
fcis-25930	62	11	and	and	CCONJ
fcis-25930	62	12	executing	execute	VERB
fcis-25930	62	13	queries	query	NOUN
fcis-25930	62	14	formulated	formulate	VERB
fcis-25930	62	15	in	in	ADP
fcis-25930	62	16	formal	formal	ADJ
fcis-25930	62	17	languages	language	NOUN
fcis-25930	62	18	to	to	PART
fcis-25930	62	19	retrieve	retrieve	VERB
fcis-25930	62	20	information	information	NOUN
fcis-25930	62	21	from	from	ADP
fcis-25930	62	22	structured	structured	ADJ
fcis-25930	62	23	data	datum	NOUN
fcis-25930	62	24	sources	source	NOUN
fcis-25930	62	25	such	such	ADJ
fcis-25930	62	26	as	as	ADP
fcis-25930	62	27	databases	database	NOUN
fcis-25930	62	28	and	and	CCONJ
fcis-25930	62	29	knowledge	knowledge	NOUN
fcis-25930	62	30	graphs	graph	NOUN
fcis-25930	62	31	.	.	PUNCT
fcis-25930	63	1	traditional	traditional	ADJ
fcis-25930	63	2	approaches	approach	NOUN
fcis-25930	63	3	rely	rely	VERB
fcis-25930	63	4	on	on	ADP
fcis-25930	63	5	parsing	parse	VERB
fcis-25930	63	6	techniques	technique	NOUN
fcis-25930	63	7	that	that	PRON
fcis-25930	63	8	convert	convert	VERB
fcis-25930	63	9	structured	structured	ADJ
fcis-25930	63	10	queries	query	NOUN
fcis-25930	63	11	into	into	ADP
fcis-25930	63	12	executable	executable	ADJ
fcis-25930	63	13	operations	operation	NOUN
fcis-25930	63	14	.	.	PUNCT
fcis-25930	64	1	for	for	ADP
fcis-25930	64	2	example	example	NOUN
fcis-25930	64	3	,	,	PUNCT
fcis-25930	64	4	sql	sql	NOUN
fcis-25930	64	5	parsers	parser	NOUN
fcis-25930	64	6	analyze	analyze	VERB
fcis-25930	64	7	query	query	NOUN
fcis-25930	64	8	syntax	syntax	NOUN
fcis-25930	64	9	to	to	PART
fcis-25930	64	10	interact	interact	VERB
fcis-25930	64	11	with	with	ADP
fcis-25930	64	12	relational	relational	ADJ
fcis-25930	64	13	databases	database	NOUN
fcis-25930	64	14	,	,	PUNCT
fcis-25930	64	15	while	while	SCONJ
fcis-25930	64	16	sparql	sparql	ADJ
fcis-25930	64	17	processors	processor	NOUN
fcis-25930	64	18	handle	handle	VERB
fcis-25930	64	19	queries	query	NOUN
fcis-25930	64	20	over	over	ADP
fcis-25930	64	21	rdf	rdf	VERB
fcis-25930	64	22	data	datum	NOUN
fcis-25930	64	23	in	in	ADP
fcis-25930	64	24	knowledge	knowledge	NOUN
fcis-25930	64	25	graphs[29][30	graphs[29][30	PROPN
fcis-25930	64	26	]	]	PUNCT
fcis-25930	64	27	.	.	PUNCT
fcis-25930	65	1	conventional	conventional	ADJ
fcis-25930	65	2	methods	method	NOUN
fcis-25930	65	3	utilize	utilize	VERB
fcis-25930	65	4	grammar	grammar	NOUN
fcis-25930	65	5	-	-	PUNCT
fcis-25930	65	6	based	base	VERB
fcis-25930	65	7	parsers	parser	NOUN
fcis-25930	65	8	and	and	CCONJ
fcis-25930	65	9	66	66	NUM
fcis-25930	65	10	compiler	compiler	NOUN
fcis-25930	65	11	design	design	NOUN
fcis-25930	65	12	principles	principle	NOUN
fcis-25930	65	13	to	to	PART
fcis-25930	65	14	understand	understand	VERB
fcis-25930	65	15	the	the	DET
fcis-25930	65	16	structure	structure	NOUN
fcis-25930	65	17	and	and	CCONJ
fcis-25930	65	18	semantics	semantic	NOUN
fcis-25930	65	19	of	of	ADP
fcis-25930	65	20	queries[31][32	queries[31][32	PROPN
fcis-25930	65	21	]	]	PUNCT
fcis-25930	65	22	.	.	PUNCT
fcis-25930	66	1	these	these	DET
fcis-25930	66	2	parsers	parser	NOUN
fcis-25930	66	3	extract	extract	VERB
fcis-25930	66	4	elements	element	NOUN
fcis-25930	66	5	like	like	ADP
fcis-25930	66	6	selection	selection	NOUN
fcis-25930	66	7	criteria	criterion	NOUN
fcis-25930	66	8	,	,	PUNCT
fcis-25930	66	9	conditions	condition	NOUN
fcis-25930	66	10	,	,	PUNCT
fcis-25930	66	11	and	and	CCONJ
fcis-25930	66	12	target	target	NOUN
fcis-25930	66	13	entities	entity	NOUN
fcis-25930	66	14	,	,	PUNCT
fcis-25930	66	15	enabling	enable	VERB
fcis-25930	66	16	precise	precise	ADJ
fcis-25930	66	17	data	datum	NOUN
fcis-25930	66	18	retrieval[33][34	retrieval[33][34	PROPN
fcis-25930	66	19	]	]	PUNCT
fcis-25930	66	20	.	.	PUNCT
fcis-25930	67	1	while	while	SCONJ
fcis-25930	67	2	effective	effective	ADJ
fcis-25930	67	3	for	for	ADP
fcis-25930	67	4	direct	direct	ADJ
fcis-25930	67	5	query	query	NOUN
fcis-25930	67	6	execution	execution	NOUN
fcis-25930	67	7	,	,	PUNCT
fcis-25930	67	8	these	these	DET
fcis-25930	67	9	methods	method	NOUN
fcis-25930	67	10	are	be	AUX
fcis-25930	67	11	limited	limit	VERB
fcis-25930	67	12	when	when	SCONJ
fcis-25930	67	13	integrating	integrate	VERB
fcis-25930	67	14	results	result	NOUN
fcis-25930	67	15	into	into	ADP
fcis-25930	67	16	natural	natural	ADJ
fcis-25930	67	17	language	language	NOUN
fcis-25930	67	18	responses	response	NOUN
fcis-25930	67	19	.	.	PUNCT
fcis-25930	68	1	recent	recent	ADJ
fcis-25930	68	2	advancements	advancement	NOUN
fcis-25930	68	3	in	in	ADP
fcis-25930	68	4	nlp	nlp	NOUN
fcis-25930	68	5	have	have	AUX
fcis-25930	68	6	explored	explore	VERB
fcis-25930	68	7	the	the	DET
fcis-25930	68	8	use	use	NOUN
fcis-25930	68	9	of	of	ADP
fcis-25930	68	10	machine	machine	NOUN
fcis-25930	68	11	learning	learning	NOUN
fcis-25930	68	12	models	model	NOUN
fcis-25930	68	13	for	for	ADP
fcis-25930	68	14	structured	structured	ADJ
fcis-25930	68	15	query	query	NOUN
fcis-25930	68	16	processing	processing	NOUN
fcis-25930	68	17	.	.	PUNCT
fcis-25930	69	1	neural	neural	ADJ
fcis-25930	69	2	network	network	PROPN
fcis-25930	69	3	architectures	architecture	NOUN
fcis-25930	69	4	,	,	PUNCT
fcis-25930	69	5	such	such	ADJ
fcis-25930	69	6	as	as	ADP
fcis-25930	69	7	sequence	sequence	NOUN
fcis-25930	69	8	-	-	PUNCT
fcis-25930	69	9	to	to	ADP
fcis-25930	69	10	-	-	PUNCT
fcis-25930	69	11	sequence	sequence	NOUN
fcis-25930	69	12	models	model	NOUN
fcis-25930	69	13	,	,	PUNCT
fcis-25930	69	14	have	have	AUX
fcis-25930	69	15	been	be	AUX
fcis-25930	69	16	applied	apply	VERB
fcis-25930	69	17	to	to	ADP
fcis-25930	69	18	translate	translate	VERB
fcis-25930	69	19	natural	natural	ADJ
fcis-25930	69	20	language	language	NOUN
fcis-25930	69	21	queries	query	NOUN
fcis-25930	69	22	into	into	ADP
fcis-25930	69	23	structured	structured	ADJ
fcis-25930	69	24	query	query	NOUN
fcis-25930	69	25	languages	language	NOUN
fcis-25930	69	26	,	,	PUNCT
fcis-25930	69	27	facilitating	facilitate	VERB
fcis-25930	69	28	more	more	ADJ
fcis-25930	69	29	intuitive	intuitive	ADJ
fcis-25930	69	30	user	user	NOUN
fcis-25930	69	31	interactions	interaction	NOUN
fcis-25930	69	32	with	with	ADP
fcis-25930	69	33	databases[35][32	databases[35][32	PROPN
fcis-25930	69	34	]	]	PUNCT
fcis-25930	69	35	.	.	PUNCT
fcis-25930	70	1	additionally	additionally	ADV
fcis-25930	70	2	,	,	PUNCT
fcis-25930	70	3	transformer	transformer	NOUN
fcis-25930	70	4	-	-	PUNCT
fcis-25930	70	5	based	base	VERB
fcis-25930	70	6	models	model	NOUN
fcis-25930	70	7	have	have	AUX
fcis-25930	70	8	been	be	AUX
fcis-25930	70	9	employed	employ	VERB
fcis-25930	70	10	to	to	PART
fcis-25930	70	11	handle	handle	VERB
fcis-25930	70	12	complex	complex	ADJ
fcis-25930	70	13	queries	query	NOUN
fcis-25930	70	14	by	by	ADP
fcis-25930	70	15	capturing	capture	VERB
fcis-25930	70	16	long	long	ADJ
fcis-25930	70	17	-	-	PUNCT
fcis-25930	70	18	range	range	NOUN
fcis-25930	70	19	dependencies	dependency	NOUN
fcis-25930	70	20	and	and	CCONJ
fcis-25930	70	21	contextual	contextual	ADJ
fcis-25930	70	22	information	information	NOUN
fcis-25930	70	23	.	.	PUNCT
fcis-25930	71	1	despite	despite	SCONJ
fcis-25930	71	2	progress	progress	NOUN
fcis-25930	71	3	,	,	PUNCT
fcis-25930	71	4	challenges	challenge	NOUN
fcis-25930	71	5	remain	remain	VERB
fcis-25930	71	6	in	in	ADP
fcis-25930	71	7	applying	apply	VERB
fcis-25930	71	8	structured	structured	ADJ
fcis-25930	71	9	query	query	NOUN
fcis-25930	71	10	processing	processing	NOUN
fcis-25930	71	11	within	within	ADP
fcis-25930	71	12	generative	generative	ADJ
fcis-25930	71	13	frameworks	framework	NOUN
fcis-25930	71	14	.	.	PUNCT
fcis-25930	72	1	existing	exist	VERB
fcis-25930	72	2	models	model	NOUN
fcis-25930	72	3	often	often	ADV
fcis-25930	72	4	focus	focus	VERB
fcis-25930	72	5	on	on	ADP
fcis-25930	72	6	translating	translate	VERB
fcis-25930	72	7	or	or	CCONJ
fcis-25930	72	8	executing	execute	VERB
fcis-25930	72	9	queries	query	NOUN
fcis-25930	72	10	rather	rather	ADV
fcis-25930	72	11	than	than	ADP
fcis-25930	72	12	integrating	integrate	VERB
fcis-25930	72	13	the	the	DET
fcis-25930	72	14	structured	structured	ADJ
fcis-25930	72	15	information	information	NOUN
fcis-25930	72	16	into	into	ADP
fcis-25930	72	17	coherent	coherent	ADJ
fcis-25930	72	18	text	text	NOUN
fcis-25930	73	1	generation[20][36	generation[20][36	PROPN
fcis-25930	73	2	]	]	X
fcis-25930	73	3	.	.	PUNCT
fcis-25930	74	1	consequently	consequently	ADV
fcis-25930	74	2	,	,	PUNCT
fcis-25930	74	3	there	there	PRON
fcis-25930	74	4	is	be	VERB
fcis-25930	74	5	a	a	DET
fcis-25930	74	6	disconnect	disconnect	NOUN
fcis-25930	74	7	between	between	ADP
fcis-25930	74	8	retrieving	retrieve	VERB
fcis-25930	74	9	data	datum	NOUN
fcis-25930	74	10	based	base	VERB
fcis-25930	74	11	on	on	ADP
fcis-25930	74	12	structured	structured	ADJ
fcis-25930	74	13	queries	query	NOUN
fcis-25930	74	14	and	and	CCONJ
fcis-25930	74	15	producing	produce	VERB
fcis-25930	74	16	natural	natural	ADJ
fcis-25930	74	17	language	language	NOUN
fcis-25930	74	18	responses	response	NOUN
fcis-25930	74	19	that	that	PRON
fcis-25930	74	20	fully	fully	ADV
fcis-25930	74	21	leverage	leverage	VERB
fcis-25930	74	22	this	this	DET
fcis-25930	74	23	information	information	NOUN
fcis-25930	74	24	.	.	PUNCT
fcis-25930	75	1	furthermore	furthermore	ADV
fcis-25930	75	2	,	,	PUNCT
fcis-25930	75	3	handling	handle	VERB
fcis-25930	75	4	the	the	DET
fcis-25930	75	5	nuances	nuance	NOUN
fcis-25930	75	6	of	of	ADP
fcis-25930	75	7	structured	structured	ADJ
fcis-25930	75	8	query	query	NOUN
fcis-25930	75	9	languages	language	NOUN
fcis-25930	75	10	requires	require	VERB
fcis-25930	75	11	models	model	NOUN
fcis-25930	75	12	to	to	PART
fcis-25930	75	13	grasp	grasp	VERB
fcis-25930	75	14	formal	formal	ADJ
fcis-25930	75	15	syntax	syntax	NOUN
fcis-25930	75	16	and	and	CCONJ
fcis-25930	75	17	semantics	semantic	NOUN
fcis-25930	75	18	,	,	PUNCT
fcis-25930	75	19	which	which	PRON
fcis-25930	75	20	differs	differ	VERB
fcis-25930	75	21	from	from	ADP
fcis-25930	75	22	processing	process	VERB
fcis-25930	75	23	unstructured	unstructured	ADJ
fcis-25930	75	24	text	text	NOUN
fcis-25930	75	25	.	.	PUNCT
fcis-25930	76	1	the	the	DET
fcis-25930	76	2	inability	inability	NOUN
fcis-25930	76	3	to	to	PART
fcis-25930	76	4	effectively	effectively	ADV
fcis-25930	76	5	bridge	bridge	VERB
fcis-25930	76	6	this	this	DET
fcis-25930	76	7	gap	gap	NOUN
fcis-25930	76	8	hampers	hamper	VERB
fcis-25930	76	9	the	the	DET
fcis-25930	76	10	development	development	NOUN
fcis-25930	76	11	of	of	ADP
fcis-25930	76	12	systems	system	NOUN
fcis-25930	76	13	capable	capable	ADJ
fcis-25930	76	14	of	of	ADP
fcis-25930	76	15	providing	provide	VERB
fcis-25930	76	16	detailed	detailed	ADJ
fcis-25930	76	17	and	and	CCONJ
fcis-25930	76	18	contextually	contextually	ADV
fcis-25930	76	19	appropriate	appropriate	ADJ
fcis-25930	76	20	answers	answer	NOUN
fcis-25930	76	21	to	to	ADP
fcis-25930	76	22	structured	structured	ADJ
fcis-25930	76	23	queries	query	NOUN
fcis-25930	76	24	within	within	ADP
fcis-25930	76	25	a	a	DET
fcis-25930	76	26	generative	generative	ADJ
fcis-25930	76	27	context.[37][38	context.[37][38	NOUN
fcis-25930	76	28	]	]	PUNCT
fcis-25930	76	29	2.3	2.3	NUM
fcis-25930	76	30	.	.	PUNCT
fcis-25930	77	1	semantic	semantic	ADJ
fcis-25930	77	2	integration	integration	NOUN
fcis-25930	77	3	techniques	technique	VERB
fcis-25930	77	4	semantic	semantic	ADJ
fcis-25930	77	5	integration	integration	NOUN
fcis-25930	77	6	pertains	pertain	VERB
fcis-25930	77	7	to	to	ADP
fcis-25930	77	8	the	the	DET
fcis-25930	77	9	process	process	NOUN
fcis-25930	77	10	of	of	ADP
fcis-25930	77	11	combining	combine	VERB
fcis-25930	77	12	information	information	NOUN
fcis-25930	77	13	from	from	ADP
fcis-25930	77	14	diverse	diverse	ADJ
fcis-25930	77	15	sources	source	NOUN
fcis-25930	77	16	to	to	PART
fcis-25930	77	17	produce	produce	VERB
fcis-25930	77	18	unified	unified	ADJ
fcis-25930	77	19	,	,	PUNCT
fcis-25930	77	20	meaningful	meaningful	ADJ
fcis-25930	77	21	outputs	output	NOUN
fcis-25930	77	22	.	.	PUNCT
fcis-25930	78	1	in	in	ADP
fcis-25930	78	2	nlp	nlp	NOUN
fcis-25930	78	3	,	,	PUNCT
fcis-25930	78	4	this	this	PRON
fcis-25930	78	5	involves	involve	VERB
fcis-25930	78	6	merging	merge	VERB
fcis-25930	78	7	retrieved	retrieve	VERB
fcis-25930	78	8	data	datum	NOUN
fcis-25930	78	9	with	with	ADP
fcis-25930	78	10	generative	generative	ADJ
fcis-25930	78	11	models	model	NOUN
fcis-25930	78	12	to	to	PART
fcis-25930	78	13	enhance	enhance	VERB
fcis-25930	78	14	the	the	DET
fcis-25930	78	15	informativeness	informativeness	NOUN
fcis-25930	78	16	and	and	CCONJ
fcis-25930	78	17	relevance	relevance	NOUN
fcis-25930	78	18	of	of	ADP
fcis-25930	78	19	generated	generate	VERB
fcis-25930	78	20	text.[39][40][41	text.[39][40][41	PROPN
fcis-25930	78	21	]	]	PUNCT
fcis-25930	78	22	effective	effective	ADJ
fcis-25930	78	23	semantic	semantic	ADJ
fcis-25930	78	24	integration	integration	NOUN
fcis-25930	78	25	ensures	ensure	VERB
fcis-25930	78	26	that	that	SCONJ
fcis-25930	78	27	the	the	DET
fcis-25930	78	28	output	output	NOUN
fcis-25930	78	29	not	not	PART
fcis-25930	78	30	only	only	ADV
fcis-25930	78	31	reflects	reflect	VERB
fcis-25930	78	32	accurate	accurate	ADJ
fcis-25930	78	33	information	information	NOUN
fcis-25930	78	34	but	but	CCONJ
fcis-25930	78	35	also	also	ADV
fcis-25930	78	36	maintains	maintain	VERB
fcis-25930	78	37	coherence	coherence	NOUN
fcis-25930	78	38	and	and	CCONJ
fcis-25930	78	39	fluency	fluency	NOUN
fcis-25930	78	40	.	.	PUNCT
fcis-25930	79	1	generative	generative	ADJ
fcis-25930	79	2	models	model	NOUN
fcis-25930	79	3	,	,	PUNCT
fcis-25930	79	4	particularly	particularly	ADV
fcis-25930	79	5	those	those	PRON
fcis-25930	79	6	based	base	VERB
fcis-25930	79	7	on	on	ADP
fcis-25930	79	8	transformer	transformer	NOUN
fcis-25930	79	9	architectures	architecture	NOUN
fcis-25930	79	10	,	,	PUNCT
fcis-25930	79	11	have	have	AUX
fcis-25930	79	12	advanced	advance	VERB
fcis-25930	79	13	the	the	DET
fcis-25930	79	14	capability	capability	NOUN
fcis-25930	79	15	to	to	PART
fcis-25930	79	16	encode	encode	VERB
fcis-25930	79	17	and	and	CCONJ
fcis-25930	79	18	generate	generate	VERB
fcis-25930	79	19	complex	complex	ADJ
fcis-25930	79	20	language	language	NOUN
fcis-25930	79	21	patterns[42][43][44	patterns[42][43][44	NOUN
fcis-25930	79	22	]	]	PUNCT
fcis-25930	79	23	.	.	PUNCT
fcis-25930	80	1	attention	attention	NOUN
fcis-25930	80	2	mechanisms	mechanism	NOUN
fcis-25930	80	3	within	within	ADP
fcis-25930	80	4	these	these	DET
fcis-25930	80	5	models	model	NOUN
fcis-25930	80	6	allow	allow	VERB
fcis-25930	80	7	for	for	ADP
fcis-25930	80	8	dynamic	dynamic	ADJ
fcis-25930	80	9	weighting	weighting	NOUN
fcis-25930	80	10	of	of	ADP
fcis-25930	80	11	input	input	NOUN
fcis-25930	80	12	tokens	token	NOUN
fcis-25930	80	13	,	,	PUNCT
fcis-25930	80	14	facilitating	facilitate	VERB
fcis-25930	80	15	the	the	DET
fcis-25930	80	16	integration	integration	NOUN
fcis-25930	80	17	of	of	ADP
fcis-25930	80	18	additional	additional	ADJ
fcis-25930	80	19	information	information	NOUN
fcis-25930	80	20	during	during	ADP
fcis-25930	80	21	generation	generation	NOUN
fcis-25930	80	22	.	.	PUNCT
fcis-25930	81	1	techniques	technique	NOUN
fcis-25930	81	2	such	such	ADJ
fcis-25930	81	3	as	as	ADP
fcis-25930	81	4	knowledge	knowledge	NOUN
fcis-25930	81	5	encoding	encode	VERB
fcis-25930	81	6	embed	embe	VERB
fcis-25930	81	7	external	external	ADJ
fcis-25930	81	8	data	datum	NOUN
fcis-25930	81	9	into	into	ADP
fcis-25930	81	10	the	the	DET
fcis-25930	81	11	model	model	NOUN
fcis-25930	81	12	's	's	PART
fcis-25930	81	13	representations	representation	NOUN
fcis-25930	81	14	,	,	PUNCT
fcis-25930	81	15	enabling	enable	VERB
fcis-25930	81	16	it	it	PRON
fcis-25930	81	17	to	to	PART
fcis-25930	81	18	draw	draw	VERB
fcis-25930	81	19	upon	upon	SCONJ
fcis-25930	81	20	this	this	DET
fcis-25930	81	21	information	information	NOUN
fcis-25930	81	22	contextually	contextually	ADV
fcis-25930	81	23	.	.	PUNCT
fcis-25930	82	1	previous	previous	ADJ
fcis-25930	82	2	research	research	NOUN
fcis-25930	82	3	has	have	AUX
fcis-25930	82	4	explored	explore	VERB
fcis-25930	82	5	various	various	ADJ
fcis-25930	82	6	methods	method	NOUN
fcis-25930	82	7	for	for	ADP
fcis-25930	82	8	incorporating	incorporate	VERB
fcis-25930	82	9	external	external	ADJ
fcis-25930	82	10	knowledge	knowledge	NOUN
fcis-25930	82	11	into	into	ADP
fcis-25930	82	12	generative	generative	ADJ
fcis-25930	82	13	models[45][46][47	models[45][46][47	NOUN
fcis-25930	82	14	]	]	PUNCT
fcis-25930	82	15	.	.	PUNCT
fcis-25930	83	1	some	some	DET
fcis-25930	83	2	approaches	approach	NOUN
fcis-25930	83	3	involve	involve	VERB
fcis-25930	83	4	prepending	prepende	VERB
fcis-25930	83	5	retrieved	retrieve	VERB
fcis-25930	83	6	text	text	NOUN
fcis-25930	83	7	to	to	ADP
fcis-25930	83	8	the	the	DET
fcis-25930	83	9	input	input	NOUN
fcis-25930	83	10	sequence	sequence	NOUN
fcis-25930	83	11	,	,	PUNCT
fcis-25930	83	12	allowing	allow	VERB
fcis-25930	83	13	the	the	DET
fcis-25930	83	14	model	model	NOUN
fcis-25930	83	15	to	to	PART
fcis-25930	83	16	consider	consider	VERB
fcis-25930	83	17	this	this	DET
fcis-25930	83	18	information	information	NOUN
fcis-25930	83	19	during	during	ADP
fcis-25930	83	20	generation	generation	NOUN
fcis-25930	83	21	.	.	PUNCT
fcis-25930	84	1	others	other	NOUN
fcis-25930	84	2	integrate	integrate	VERB
fcis-25930	84	3	knowledge	knowledge	NOUN
fcis-25930	84	4	graphs	graph	NOUN
fcis-25930	84	5	or	or	CCONJ
fcis-25930	84	6	structured	structure	VERB
fcis-25930	84	7	data	datum	NOUN
fcis-25930	84	8	by	by	ADP
fcis-25930	84	9	embedding	embed	VERB
fcis-25930	84	10	them	they	PRON
fcis-25930	84	11	into	into	ADP
fcis-25930	84	12	the	the	DET
fcis-25930	84	13	model	model	NOUN
fcis-25930	84	14	's	's	PART
fcis-25930	84	15	latent	latent	ADJ
fcis-25930	84	16	space	space	NOUN
fcis-25930	84	17	.	.	PUNCT
fcis-25930	85	1	these	these	DET
fcis-25930	85	2	methods	method	NOUN
fcis-25930	85	3	have	have	AUX
fcis-25930	85	4	shown	show	VERB
fcis-25930	85	5	promise	promise	NOUN
fcis-25930	85	6	in	in	ADP
fcis-25930	85	7	enhancing	enhance	VERB
fcis-25930	85	8	the	the	DET
fcis-25930	85	9	factual	factual	ADJ
fcis-25930	85	10	accuracy	accuracy	NOUN
fcis-25930	85	11	of	of	ADP
fcis-25930	85	12	generated	generate	VERB
fcis-25930	85	13	text	text	NOUN
fcis-25930	85	14	.	.	PUNCT
fcis-25930	86	1	however	however	ADV
fcis-25930	86	2	,	,	PUNCT
fcis-25930	86	3	integrating	integrate	VERB
fcis-25930	86	4	structured	structured	ADJ
fcis-25930	86	5	query	query	NOUN
fcis-25930	86	6	results	result	NOUN
fcis-25930	86	7	poses	pose	VERB
fcis-25930	86	8	unique	unique	ADJ
fcis-25930	86	9	challenges	challenge	NOUN
fcis-25930	86	10	.	.	PUNCT
fcis-25930	87	1	structured	structured	ADJ
fcis-25930	87	2	data	datum	NOUN
fcis-25930	87	3	often	often	ADV
fcis-25930	87	4	comes	come	VERB
fcis-25930	87	5	in	in	ADP
fcis-25930	87	6	formats	format	NOUN
fcis-25930	87	7	that	that	PRON
fcis-25930	87	8	are	be	AUX
fcis-25930	87	9	not	not	PART
fcis-25930	87	10	readily	readily	ADV
fcis-25930	87	11	compatible	compatible	ADJ
fcis-25930	87	12	with	with	ADP
fcis-25930	87	13	generative	generative	ADJ
fcis-25930	87	14	models	model	NOUN
fcis-25930	87	15	designed	design	VERB
fcis-25930	87	16	for	for	ADP
fcis-25930	87	17	sequential	sequential	ADJ
fcis-25930	87	18	text.[48][49][42	text.[48][49][42	NOUN
fcis-25930	87	19	]	]	PUNCT
fcis-25930	87	20	the	the	DET
fcis-25930	87	21	semantic	semantic	ADJ
fcis-25930	87	22	richness	richness	NOUN
fcis-25930	87	23	and	and	CCONJ
fcis-25930	87	24	precision	precision	NOUN
fcis-25930	87	25	of	of	ADP
fcis-25930	87	26	structured	structured	ADJ
fcis-25930	87	27	data	datum	NOUN
fcis-25930	87	28	can	can	AUX
fcis-25930	87	29	be	be	AUX
fcis-25930	87	30	difficult	difficult	ADJ
fcis-25930	87	31	to	to	PART
fcis-25930	87	32	capture	capture	VERB
fcis-25930	87	33	using	use	VERB
fcis-25930	87	34	standard	standard	ADJ
fcis-25930	87	35	embedding	embed	VERB
fcis-25930	87	36	techniques	technique	NOUN
fcis-25930	87	37	.	.	PUNCT
fcis-25930	88	1	additionally	additionally	ADV
fcis-25930	88	2	,	,	PUNCT
fcis-25930	88	3	maintaining	maintain	VERB
fcis-25930	88	4	the	the	DET
fcis-25930	88	5	integrity	integrity	NOUN
fcis-25930	88	6	of	of	ADP
fcis-25930	88	7	the	the	DET
fcis-25930	88	8	information	information	NOUN
fcis-25930	88	9	while	while	SCONJ
fcis-25930	88	10	generating	generate	VERB
fcis-25930	88	11	fluent	fluent	ADJ
fcis-25930	88	12	natural	natural	ADJ
fcis-25930	88	13	language	language	NOUN
fcis-25930	88	14	responses	response	NOUN
fcis-25930	88	15	requires	require	VERB
fcis-25930	88	16	sophisticated	sophisticated	ADJ
fcis-25930	88	17	integration	integration	NOUN
fcis-25930	88	18	strategies	strategy	NOUN
fcis-25930	88	19	.	.	PUNCT
fcis-25930	89	1	existing	exist	VERB
fcis-25930	89	2	semantic	semantic	ADJ
fcis-25930	89	3	integration	integration	NOUN
fcis-25930	89	4	techniques	technique	NOUN
fcis-25930	89	5	may	may	AUX
fcis-25930	89	6	fall	fall	VERB
fcis-25930	89	7	short	short	ADV
fcis-25930	89	8	in	in	ADP
fcis-25930	89	9	scenarios	scenario	NOUN
fcis-25930	89	10	where	where	SCONJ
fcis-25930	89	11	precise	precise	ADJ
fcis-25930	89	12	and	and	CCONJ
fcis-25930	89	13	context	context	NOUN
fcis-25930	89	14	-	-	PUNCT
fcis-25930	89	15	specific	specific	ADJ
fcis-25930	89	16	information	information	NOUN
fcis-25930	89	17	from	from	ADP
fcis-25930	89	18	structured	structured	ADJ
fcis-25930	89	19	queries	query	NOUN
fcis-25930	89	20	needs	need	VERB
fcis-25930	89	21	to	to	PART
fcis-25930	89	22	be	be	AUX
fcis-25930	89	23	conveyed	convey	VERB
fcis-25930	89	24	.	.	PUNCT
fcis-25930	90	1	the	the	DET
fcis-25930	90	2	lack	lack	NOUN
fcis-25930	90	3	of	of	ADP
fcis-25930	90	4	models	model	NOUN
fcis-25930	90	5	that	that	PRON
fcis-25930	90	6	effectively	effectively	ADV
fcis-25930	90	7	combine	combine	VERB
fcis-25930	90	8	structured	structure	VERB
fcis-25930	90	9	query	query	NOUN
fcis-25930	90	10	processing	processing	NOUN
fcis-25930	90	11	with	with	ADP
fcis-25930	90	12	generative	generative	ADJ
fcis-25930	90	13	capabilities	capability	NOUN
fcis-25930	90	14	underscores	underscore	VERB
fcis-25930	90	15	a	a	DET
fcis-25930	90	16	gap	gap	NOUN
fcis-25930	90	17	in	in	ADP
fcis-25930	90	18	current	current	ADJ
fcis-25930	90	19	research[50][51][52][53	research[50][51][52][53	NOUN
fcis-25930	90	20	]	]	PUNCT
fcis-25930	90	21	.	.	PUNCT
fcis-25930	91	1	addressing	address	VERB
fcis-25930	91	2	this	this	DET
fcis-25930	91	3	gap	gap	NOUN
fcis-25930	91	4	is	be	AUX
fcis-25930	91	5	essential	essential	ADJ
fcis-25930	91	6	for	for	ADP
fcis-25930	91	7	developing	develop	VERB
fcis-25930	91	8	systems	system	NOUN
fcis-25930	91	9	that	that	PRON
fcis-25930	91	10	can	can	AUX
fcis-25930	91	11	interpret	interpret	VERB
fcis-25930	91	12	structured	structured	ADJ
fcis-25930	91	13	queries	query	NOUN
fcis-25930	91	14	,	,	PUNCT
fcis-25930	91	15	retrieve	retrieve	VERB
fcis-25930	91	16	relevant	relevant	ADJ
fcis-25930	91	17	data	datum	NOUN
fcis-25930	91	18	,	,	PUNCT
fcis-25930	91	19	and	and	CCONJ
fcis-25930	91	20	generate	generate	VERB
fcis-25930	91	21	coherent	coherent	ADJ
fcis-25930	91	22	and	and	CCONJ
fcis-25930	91	23	contextually	contextually	ADV
fcis-25930	91	24	appropriate	appropriate	ADJ
fcis-25930	91	25	responses	response	NOUN
fcis-25930	91	26	.	.	PUNCT
fcis-25930	92	1	3	3	X
fcis-25930	92	2	.	.	X
fcis-25930	92	3	generative	generative	ADJ
fcis-25930	92	4	semantic	semantic	ADJ
fcis-25930	92	5	integration	integration	NOUN
fcis-25930	92	6	methodology	methodology	NOUN
fcis-25930	92	7	figure	figure	NOUN
fcis-25930	92	8	1	1	NUM
fcis-25930	92	9	.	.	PUNCT
fcis-25930	92	10	generative	generative	ADJ
fcis-25930	92	11	parsing	parsing	NOUN
fcis-25930	92	12	for	for	ADP
fcis-25930	92	13	semantic	semantic	ADJ
fcis-25930	92	14	alignment	alignment	NOUN
fcis-25930	92	15	(	(	PUNCT
fcis-25930	92	16	gen	gen	PROPN
fcis-25930	92	17	psa	psa	NOUN
fcis-25930	92	18	)	)	PUNCT
fcis-25930	92	19	in	in	ADP
fcis-25930	92	20	this	this	DET
fcis-25930	92	21	section	section	NOUN
fcis-25930	92	22	,	,	PUNCT
fcis-25930	92	23	we	we	PRON
fcis-25930	92	24	introduce	introduce	VERB
fcis-25930	92	25	the	the	DET
fcis-25930	92	26	generative	generative	ADJ
fcis-25930	92	27	semantic	semantic	ADJ
fcis-25930	92	28	integration	integration	NOUN
fcis-25930	92	29	(	(	PUNCT
fcis-25930	92	30	gsi	gsi	PROPN
fcis-25930	92	31	)	)	PUNCT
fcis-25930	92	32	framework	framework	NOUN
fcis-25930	92	33	designed	design	VERB
fcis-25930	92	34	to	to	PART
fcis-25930	92	35	enhance	enhance	VERB
fcis-25930	92	36	structured	structure	VERB
fcis-25930	92	37	query	query	NOUN
fcis-25930	92	38	processing	processing	NOUN
fcis-25930	92	39	within	within	ADP
fcis-25930	92	40	retrieval	retrieval	NOUN
fcis-25930	92	41	-	-	PUNCT
fcis-25930	92	42	augmented	augment	VERB
fcis-25930	92	43	generation	generation	NOUN
fcis-25930	92	44	(	(	PUNCT
fcis-25930	92	45	rag	rag	NOUN
fcis-25930	92	46	)	)	PUNCT
fcis-25930	92	47	systems	system	NOUN
fcis-25930	92	48	.	.	PUNCT
fcis-25930	93	1	unlike	unlike	ADP
fcis-25930	93	2	traditional	traditional	ADJ
fcis-25930	93	3	approaches	approach	NOUN
fcis-25930	93	4	that	that	PRON
fcis-25930	93	5	focus	focus	VERB
fcis-25930	93	6	on	on	ADP
fcis-25930	93	7	67	67	NUM
fcis-25930	93	8	parsing	parsing	NOUN
fcis-25930	93	9	and	and	CCONJ
fcis-25930	93	10	processing	processing	NOUN
fcis-25930	93	11	user	user	NOUN
fcis-25930	93	12	queries	query	NOUN
fcis-25930	93	13	,	,	PUNCT
fcis-25930	93	14	our	our	PRON
fcis-25930	93	15	gsi	gsi	PROPN
fcis-25930	93	16	methodology	methodology	NOUN
fcis-25930	93	17	emphasizes	emphasize	VERB
fcis-25930	93	18	structuring	structure	VERB
fcis-25930	93	19	the	the	DET
fcis-25930	93	20	document	document	NOUN
fcis-25930	93	21	corpus	corpus	NOUN
fcis-25930	93	22	during	during	ADP
fcis-25930	93	23	the	the	DET
fcis-25930	93	24	knowledge	knowledge	NOUN
fcis-25930	93	25	base	base	NOUN
fcis-25930	93	26	construction	construction	NOUN
fcis-25930	93	27	phase	phase	NOUN
fcis-25930	93	28	.	.	PUNCT
fcis-25930	94	1	by	by	ADP
fcis-25930	94	2	decomposing	decompose	VERB
fcis-25930	94	3	the	the	DET
fcis-25930	94	4	documents	document	NOUN
fcis-25930	94	5	to	to	PART
fcis-25930	94	6	preserve	preserve	VERB
fcis-25930	94	7	their	their	PRON
fcis-25930	94	8	structured	structured	ADJ
fcis-25930	94	9	nature	nature	NOUN
fcis-25930	94	10	and	and	CCONJ
fcis-25930	94	11	ensuring	ensure	VERB
fcis-25930	94	12	that	that	SCONJ
fcis-25930	94	13	each	each	DET
fcis-25930	94	14	piece	piece	NOUN
fcis-25930	94	15	of	of	ADP
fcis-25930	94	16	information	information	NOUN
fcis-25930	94	17	is	be	AUX
fcis-25930	94	18	independent	independent	ADJ
fcis-25930	94	19	and	and	CCONJ
fcis-25930	94	20	complete	complete	ADJ
fcis-25930	94	21	,	,	PUNCT
fcis-25930	94	22	the	the	DET
fcis-25930	94	23	gsi	gsi	PROPN
fcis-25930	94	24	framework	framework	NOUN
fcis-25930	94	25	enables	enable	VERB
fcis-25930	94	26	more	more	ADV
fcis-25930	94	27	effective	effective	ADJ
fcis-25930	94	28	retrieval	retrieval	NOUN
fcis-25930	94	29	and	and	CCONJ
fcis-25930	94	30	generation	generation	NOUN
fcis-25930	94	31	of	of	ADP
fcis-25930	94	32	responses	response	NOUN
fcis-25930	94	33	that	that	PRON
fcis-25930	94	34	accurately	accurately	ADV
fcis-25930	94	35	reflect	reflect	VERB
fcis-25930	94	36	the	the	DET
fcis-25930	94	37	user	user	NOUN
fcis-25930	94	38	's	's	PART
fcis-25930	94	39	intent	intent	NOUN
fcis-25930	94	40	.	.	PUNCT
fcis-25930	95	1	3.1	3.1	NUM
fcis-25930	95	2	.	.	PUNCT
fcis-25930	95	3	architecture	architecture	NOUN
fcis-25930	95	4	overview	overview	VERB
fcis-25930	95	5	the	the	DET
fcis-25930	95	6	gsi	gsi	PROPN
fcis-25930	95	7	framework	framework	NOUN
fcis-25930	95	8	is	be	AUX
fcis-25930	95	9	composed	compose	VERB
fcis-25930	95	10	of	of	ADP
fcis-25930	95	11	three	three	NUM
fcis-25930	95	12	primary	primary	ADJ
fcis-25930	95	13	components	component	NOUN
fcis-25930	95	14	:	:	PUNCT
fcis-25930	95	15	the	the	DET
fcis-25930	95	16	document	document	NOUN
fcis-25930	95	17	structuring	structuring	NOUN
fcis-25930	95	18	module	module	NOUN
fcis-25930	95	19	,	,	PUNCT
fcis-25930	95	20	the	the	DET
fcis-25930	95	21	retriever	retriever	NOUN
fcis-25930	95	22	,	,	PUNCT
fcis-25930	95	23	and	and	CCONJ
fcis-25930	95	24	the	the	DET
fcis-25930	95	25	generative	generative	ADJ
fcis-25930	95	26	integration	integration	NOUN
fcis-25930	95	27	model	model	NOUN
fcis-25930	95	28	.	.	PUNCT
fcis-25930	96	1	the	the	DET
fcis-25930	96	2	workflow	workflow	NOUN
fcis-25930	96	3	of	of	ADP
fcis-25930	96	4	the	the	DET
fcis-25930	96	5	gsi	gsi	PROPN
fcis-25930	96	6	system	system	NOUN
fcis-25930	96	7	operates	operate	VERB
fcis-25930	96	8	as	as	SCONJ
fcis-25930	96	9	follows	follow	VERB
fcis-25930	96	10	.	.	PUNCT
fcis-25930	97	1	during	during	ADP
fcis-25930	97	2	the	the	DET
fcis-25930	97	3	knowledge	knowledge	NOUN
fcis-25930	97	4	base	base	NOUN
fcis-25930	97	5	construction	construction	NOUN
fcis-25930	97	6	phase	phase	NOUN
fcis-25930	97	7	,	,	PUNCT
fcis-25930	97	8	the	the	DET
fcis-25930	97	9	document	document	NOUN
fcis-25930	97	10	structuring	structuring	NOUN
fcis-25930	97	11	module	module	NOUN
fcis-25930	97	12	processes	process	VERB
fcis-25930	97	13	the	the	DET
fcis-25930	97	14	document	document	NOUN
fcis-25930	97	15	corpus	corpus	NOUN
fcis-25930	97	16	to	to	PART
fcis-25930	97	17	produce	produce	VERB
fcis-25930	97	18	a	a	DET
fcis-25930	97	19	structured	structured	ADJ
fcis-25930	97	20	and	and	CCONJ
fcis-25930	97	21	decomposed	decompose	VERB
fcis-25930	97	22	version	version	NOUN
fcis-25930	97	23	,	,	PUNCT
fcis-25930	97	24	where	where	SCONJ
fcis-25930	97	25	information	information	NOUN
fcis-25930	97	26	is	be	AUX
fcis-25930	97	27	organized	organize	VERB
fcis-25930	97	28	into	into	ADP
fcis-25930	97	29	independent	independent	ADJ
fcis-25930	97	30	and	and	CCONJ
fcis-25930	97	31	complete	complete	ADJ
fcis-25930	97	32	units	unit	NOUN
fcis-25930	97	33	.	.	PUNCT
fcis-25930	98	1	when	when	SCONJ
fcis-25930	98	2	a	a	DET
fcis-25930	98	3	user	user	NOUN
fcis-25930	98	4	query	query	NOUN
fcis-25930	98	5	is	be	AUX
fcis-25930	98	6	received	receive	VERB
fcis-25930	98	7	,	,	PUNCT
fcis-25930	98	8	the	the	DET
fcis-25930	98	9	retriever	retriever	NOUN
fcis-25930	98	10	accesses	access	VERB
fcis-25930	98	11	to	to	PART
fcis-25930	98	12	obtain	obtain	VERB
fcis-25930	98	13	a	a	DET
fcis-25930	98	14	set	set	NOUN
fcis-25930	98	15	of	of	ADP
fcis-25930	98	16	relevant	relevant	ADJ
fcis-25930	98	17	documents	document	NOUN
fcis-25930	98	18	or	or	CCONJ
fcis-25930	98	19	data	datum	NOUN
fcis-25930	98	20	.	.	PUNCT
fcis-25930	99	1	finally	finally	ADV
fcis-25930	99	2	,	,	PUNCT
fcis-25930	99	3	the	the	DET
fcis-25930	99	4	generative	generative	ADJ
fcis-25930	99	5	model	model	NOUN
fcis-25930	99	6	integrates	integrate	VERB
fcis-25930	99	7	the	the	DET
fcis-25930	99	8	query	query	NOUN
fcis-25930	99	9	with	with	ADP
fcis-25930	99	10	the	the	DET
fcis-25930	99	11	retrieved	retrieve	VERB
fcis-25930	99	12	data	datum	NOUN
fcis-25930	99	13	to	to	PART
fcis-25930	99	14	generate	generate	VERB
fcis-25930	99	15	a	a	DET
fcis-25930	99	16	response	response	NOUN
fcis-25930	99	17	that	that	PRON
fcis-25930	99	18	is	be	AUX
fcis-25930	99	19	coherent	coherent	ADJ
fcis-25930	99	20	,	,	PUNCT
fcis-25930	99	21	contextually	contextually	ADV
fcis-25930	99	22	appropriate	appropriate	ADJ
fcis-25930	99	23	,	,	PUNCT
fcis-25930	99	24	and	and	CCONJ
fcis-25930	99	25	aligns	align	VERB
fcis-25930	99	26	with	with	ADP
fcis-25930	99	27	the	the	DET
fcis-25930	99	28	user	user	NOUN
fcis-25930	99	29	's	's	PART
fcis-25930	99	30	intent	intent	NOUN
fcis-25930	99	31	.	.	PUNCT
fcis-25930	100	1	3.1.1	3.1.1	X
fcis-25930	100	2	.	.	PUNCT
fcis-25930	100	3	mathematical	mathematical	ADJ
fcis-25930	100	4	modeling	modeling	NOUN
fcis-25930	100	5	of	of	ADP
fcis-25930	100	6	the	the	DET
fcis-25930	100	7	gsi	gsi	PROPN
fcis-25930	100	8	system	system	NOUN
fcis-25930	100	9	we	we	PRON
fcis-25930	100	10	define	define	VERB
fcis-25930	100	11	the	the	DET
fcis-25930	100	12	gsi	gsi	PROPN
fcis-25930	100	13	system	system	NOUN
fcis-25930	100	14	as	as	ADP
fcis-25930	100	15	a	a	DET
fcis-25930	100	16	composition	composition	NOUN
fcis-25930	100	17	of	of	ADP
fcis-25930	100	18	its	its	PRON
fcis-25930	100	19	components	component	NOUN
fcis-25930	100	20	:	:	PUNCT
fcis-25930	100	21	gsi	gsi	PROPN
fcis-25930	100	22	∘	∘	PROPN
fcis-25930	100	23	∘	∘	PROPN
fcis-25930	100	24	given	give	VERB
fcis-25930	100	25	a	a	DET
fcis-25930	100	26	user	user	NOUN
fcis-25930	100	27	query	query	NOUN
fcis-25930	100	28	and	and	CCONJ
fcis-25930	100	29	the	the	DET
fcis-25930	100	30	original	original	ADJ
fcis-25930	100	31	document	document	NOUN
fcis-25930	100	32	corpus	corpus	NOUN
fcis-25930	100	33	,	,	PUNCT
fcis-25930	100	34	the	the	DET
fcis-25930	100	35	operation	operation	NOUN
fcis-25930	100	36	of	of	ADP
fcis-25930	100	37	the	the	DET
fcis-25930	100	38	gsi	gsi	PROPN
fcis-25930	100	39	system	system	NOUN
fcis-25930	100	40	can	can	AUX
fcis-25930	100	41	be	be	AUX
fcis-25930	100	42	formalized	formalize	VERB
fcis-25930	100	43	as	as	ADP
fcis-25930	100	44	:	:	PUNCT
fcis-25930	100	45	1	1	X
fcis-25930	100	46	.	.	X
fcis-25930	100	47	document	document	NOUN
fcis-25930	100	48	structuring	structuring	NOUN
fcis-25930	100	49	:	:	PUNCT
fcis-25930	100	50	2	2	X
fcis-25930	100	51	.	.	X
fcis-25930	100	52	retrieval	retrieval	NOUN
fcis-25930	100	53	:	:	PUNCT
fcis-25930	100	54	,	,	PUNCT
fcis-25930	100	55	3	3	X
fcis-25930	100	56	.	.	NOUN
fcis-25930	100	57	generative	generative	ADJ
fcis-25930	100	58	integration	integration	NOUN
fcis-25930	100	59	:	:	PUNCT
fcis-25930	100	60	,	,	PUNCT
fcis-25930	100	61	thus	thus	ADV
fcis-25930	100	62	,	,	PUNCT
fcis-25930	100	63	the	the	DET
fcis-25930	100	64	overall	overall	ADJ
fcis-25930	100	65	mapping	mapping	NOUN
fcis-25930	100	66	from	from	ADP
fcis-25930	100	67	the	the	DET
fcis-25930	100	68	user	user	NOUN
fcis-25930	100	69	query	query	NOUN
fcis-25930	100	70	to	to	ADP
fcis-25930	100	71	the	the	DET
fcis-25930	100	72	generated	generate	VERB
fcis-25930	100	73	response	response	NOUN
fcis-25930	100	74	is	be	AUX
fcis-25930	100	75	:	:	PUNCT
fcis-25930	100	76	∘	∘	NUM
fcis-25930	100	77	∘	∘	NUM
fcis-25930	100	78	3.1.2	3.1.2	NUM
fcis-25930	100	79	.	.	NOUN
fcis-25930	100	80	effectiveness	effectiveness	NOUN
fcis-25930	100	81	through	through	ADP
fcis-25930	100	82	mathematical	mathematical	ADJ
fcis-25930	100	83	modeling	modeling	NOUN
fcis-25930	100	84	to	to	PART
fcis-25930	100	85	demonstrate	demonstrate	VERB
fcis-25930	100	86	the	the	DET
fcis-25930	100	87	effectiveness	effectiveness	NOUN
fcis-25930	100	88	of	of	ADP
fcis-25930	100	89	the	the	DET
fcis-25930	100	90	gsi	gsi	PROPN
fcis-25930	100	91	framework	framework	NOUN
fcis-25930	100	92	,	,	PUNCT
fcis-25930	100	93	we	we	PRON
fcis-25930	100	94	model	model	VERB
fcis-25930	100	95	the	the	DET
fcis-25930	100	96	probability	probability	NOUN
fcis-25930	100	97	∣	∣	NOUN
fcis-25930	100	98	,	,	PUNCT
fcis-25930	100	99	of	of	ADP
fcis-25930	100	100	generating	generate	VERB
fcis-25930	100	101	a	a	DET
fcis-25930	100	102	response	response	NOUN
fcis-25930	100	103	that	that	PRON
fcis-25930	100	104	accurately	accurately	ADV
fcis-25930	100	105	reflects	reflect	VERB
fcis-25930	100	106	the	the	DET
fcis-25930	100	107	user	user	NOUN
fcis-25930	100	108	's	's	PART
fcis-25930	100	109	intent	intent	NOUN
fcis-25930	100	110	,	,	PUNCT
fcis-25930	100	111	given	give	VERB
fcis-25930	100	112	the	the	DET
fcis-25930	100	113	query	query	NOUN
fcis-25930	100	114	and	and	CCONJ
fcis-25930	100	115	the	the	DET
fcis-25930	100	116	original	original	ADJ
fcis-25930	100	117	document	document	NOUN
fcis-25930	100	118	corpus	corpus	NOUN
fcis-25930	100	119	.	.	PUNCT
fcis-25930	101	1	by	by	ADP
fcis-25930	101	2	introducing	introduce	VERB
fcis-25930	101	3	the	the	DET
fcis-25930	101	4	structured	structured	ADJ
fcis-25930	101	5	document	document	NOUN
fcis-25930	101	6	corpus	corpus	NOUN
fcis-25930	101	7	,	,	PUNCT
fcis-25930	101	8	we	we	PRON
fcis-25930	101	9	can	can	AUX
fcis-25930	101	10	express	express	VERB
fcis-25930	101	11	this	this	DET
fcis-25930	101	12	probability	probability	NOUN
fcis-25930	101	13	as	as	ADP
fcis-25930	101	14	:	:	PUNCT
fcis-25930	101	15	∣	∣	ADJ
fcis-25930	101	16	,	,	PUNCT
fcis-25930	101	17	∣	∣	ADJ
fcis-25930	101	18	,	,	PUNCT
fcis-25930	101	19	∣	∣	ADJ
fcis-25930	101	20	,	,	PUNCT
fcis-25930	101	21	where	where	SCONJ
fcis-25930	101	22	,	,	PUNCT
fcis-25930	101	23	.	.	PUNCT
fcis-25930	102	1	our	our	PRON
fcis-25930	102	2	goal	goal	NOUN
fcis-25930	102	3	is	be	AUX
fcis-25930	102	4	to	to	PART
fcis-25930	102	5	maximize	maximize	VERB
fcis-25930	102	6	∣	∣	ADJ
fcis-25930	102	7	,	,	PUNCT
fcis-25930	102	8	,	,	PUNCT
fcis-25930	102	9	ensuring	ensure	VERB
fcis-25930	102	10	that	that	SCONJ
fcis-25930	102	11	the	the	DET
fcis-25930	102	12	generated	generate	VERB
fcis-25930	102	13	response	response	NOUN
fcis-25930	102	14	accurately	accurately	ADV
fcis-25930	102	15	reflects	reflect	VERB
fcis-25930	102	16	the	the	DET
fcis-25930	102	17	user	user	NOUN
fcis-25930	102	18	's	's	PART
fcis-25930	102	19	query	query	NOUN
fcis-25930	102	20	and	and	CCONJ
fcis-25930	102	21	is	be	AUX
fcis-25930	102	22	informed	inform	VERB
fcis-25930	102	23	by	by	ADP
fcis-25930	102	24	the	the	DET
fcis-25930	102	25	relevant	relevant	ADJ
fcis-25930	102	26	structured	structured	ADJ
fcis-25930	102	27	information	information	NOUN
fcis-25930	102	28	in	in	ADP
fcis-25930	102	29	.	.	PUNCT
fcis-25930	103	1	3.1.3	3.1.3	X
fcis-25930	103	2	.	.	PUNCT
fcis-25930	103	3	demonstrating	demonstrate	VERB
fcis-25930	103	4	effectiveness	effectiveness	NOUN
fcis-25930	103	5	via	via	ADP
fcis-25930	103	6	formulas	formula	NOUN
fcis-25930	103	7	to	to	PART
fcis-25930	103	8	validate	validate	VERB
fcis-25930	103	9	the	the	DET
fcis-25930	103	10	effectiveness	effectiveness	NOUN
fcis-25930	103	11	of	of	ADP
fcis-25930	103	12	the	the	DET
fcis-25930	103	13	gsi	gsi	PROPN
fcis-25930	103	14	framework	framework	NOUN
fcis-25930	103	15	,	,	PUNCT
fcis-25930	103	16	we	we	PRON
fcis-25930	103	17	consider	consider	VERB
fcis-25930	103	18	the	the	DET
fcis-25930	103	19	loss	loss	NOUN
fcis-25930	103	20	function	function	NOUN
fcis-25930	103	21	defined	define	VERB
fcis-25930	103	22	as	as	ADP
fcis-25930	103	23	the	the	DET
fcis-25930	103	24	negative	negative	ADJ
fcis-25930	103	25	loglikelihood	loglikelihood	NOUN
fcis-25930	103	26	of	of	ADP
fcis-25930	103	27	the	the	DET
fcis-25930	103	28	true	true	ADJ
fcis-25930	103	29	response	response	NOUN
fcis-25930	103	30	true	true	ADJ
fcis-25930	103	31	given	give	VERB
fcis-25930	103	32	and	and	CCONJ
fcis-25930	103	33	:	:	PUNCT
fcis-25930	103	34	log	log	VERB
fcis-25930	103	35	true	true	ADJ
fcis-25930	103	36	∣	∣	NOUN
fcis-25930	103	37	,	,	PUNCT
fcis-25930	103	38	substituting	substitute	VERB
fcis-25930	103	39	the	the	DET
fcis-25930	103	40	structured	structured	ADJ
fcis-25930	103	41	document	document	NOUN
fcis-25930	103	42	corpus	corpus	NOUN
fcis-25930	103	43	,	,	PUNCT
fcis-25930	103	44	we	we	PRON
fcis-25930	103	45	have	have	AUX
fcis-25930	103	46	:	:	PUNCT
fcis-25930	103	47	log	log	VERB
fcis-25930	103	48	true	true	ADJ
fcis-25930	103	49	∣	∣	NOUN
fcis-25930	103	50	,	,	PUNCT
fcis-25930	103	51	since	since	SCONJ
fcis-25930	103	52	is	be	AUX
fcis-25930	103	53	derived	derive	VERB
fcis-25930	103	54	from	from	ADP
fcis-25930	103	55	and	and	CCONJ
fcis-25930	103	56	the	the	DET
fcis-25930	103	57	retrieval	retrieval	NOUN
fcis-25930	103	58	step	step	NOUN
fcis-25930	103	59	produces	produce	VERB
fcis-25930	103	60	,	,	PUNCT
fcis-25930	103	61	,	,	PUNCT
fcis-25930	103	62	the	the	DET
fcis-25930	103	63	loss	loss	NOUN
fcis-25930	103	64	function	function	NOUN
fcis-25930	103	65	becomes	become	VERB
fcis-25930	103	66	:	:	PUNCT
fcis-25930	103	67	log	log	VERB
fcis-25930	103	68	true	true	ADJ
fcis-25930	103	69	∣	∣	NOUN
fcis-25930	103	70	,	,	PUNCT
fcis-25930	103	71	by	by	ADP
fcis-25930	103	72	minimizing	minimize	VERB
fcis-25930	103	73	this	this	DET
fcis-25930	103	74	loss	loss	NOUN
fcis-25930	103	75	function	function	NOUN
fcis-25930	103	76	with	with	ADP
fcis-25930	103	77	respect	respect	NOUN
fcis-25930	103	78	to	to	ADP
fcis-25930	103	79	the	the	DET
fcis-25930	103	80	parameters	parameter	NOUN
fcis-25930	103	81	of	of	ADP
fcis-25930	103	82	,	,	PUNCT
fcis-25930	103	83	we	we	PRON
fcis-25930	103	84	ensure	ensure	VERB
fcis-25930	103	85	that	that	SCONJ
fcis-25930	103	86	the	the	DET
fcis-25930	103	87	generated	generate	VERB
fcis-25930	103	88	response	response	NOUN
fcis-25930	103	89	approaches	approach	VERB
fcis-25930	103	90	true	true	ADJ
fcis-25930	103	91	,	,	PUNCT
fcis-25930	103	92	demonstrating	demonstrate	VERB
fcis-25930	103	93	the	the	DET
fcis-25930	103	94	effectiveness	effectiveness	NOUN
fcis-25930	103	95	of	of	ADP
fcis-25930	103	96	the	the	DET
fcis-25930	103	97	gsi	gsi	PROPN
fcis-25930	103	98	framework	framework	NOUN
fcis-25930	103	99	in	in	ADP
fcis-25930	103	100	producing	produce	VERB
fcis-25930	103	101	accurate	accurate	ADJ
fcis-25930	103	102	and	and	CCONJ
fcis-25930	103	103	contextually	contextually	ADV
fcis-25930	103	104	relevant	relevant	ADJ
fcis-25930	103	105	responses	response	NOUN
fcis-25930	103	106	.	.	PUNCT
fcis-25930	104	1	3.2	3.2	NUM
fcis-25930	104	2	.	.	PUNCT
fcis-25930	104	3	document	document	NOUN
fcis-25930	104	4	structuring	structuring	NOUN
fcis-25930	104	5	module	module	NOUN
fcis-25930	104	6	the	the	DET
fcis-25930	104	7	document	document	NOUN
fcis-25930	104	8	structuring	structuring	NOUN
fcis-25930	104	9	module	module	NOUN
fcis-25930	104	10	is	be	AUX
fcis-25930	104	11	critical	critical	ADJ
fcis-25930	104	12	to	to	ADP
fcis-25930	104	13	the	the	DET
fcis-25930	104	14	gsi	gsi	PROPN
fcis-25930	104	15	framework	framework	NOUN
fcis-25930	104	16	.	.	PUNCT
fcis-25930	105	1	rather	rather	ADV
fcis-25930	105	2	than	than	ADP
fcis-25930	105	3	processing	process	VERB
fcis-25930	105	4	the	the	DET
fcis-25930	105	5	query	query	NOUN
fcis-25930	105	6	,	,	PUNCT
fcis-25930	105	7	focuses	focus	VERB
fcis-25930	105	8	on	on	ADP
fcis-25930	105	9	transforming	transform	VERB
fcis-25930	105	10	the	the	DET
fcis-25930	105	11	document	document	NOUN
fcis-25930	105	12	corpus	corpus	NOUN
fcis-25930	105	13	during	during	ADP
fcis-25930	105	14	the	the	DET
fcis-25930	105	15	knowledge	knowledge	NOUN
fcis-25930	105	16	base	base	NOUN
fcis-25930	105	17	construction	construction	NOUN
fcis-25930	105	18	phase	phase	NOUN
fcis-25930	105	19	.	.	PUNCT
fcis-25930	106	1	the	the	DET
fcis-25930	106	2	module	module	NOUN
fcis-25930	106	3	decomposes	decompose	VERB
fcis-25930	106	4	into	into	ADP
fcis-25930	106	5	a	a	DET
fcis-25930	106	6	structured	structured	ADJ
fcis-25930	106	7	version	version	NOUN
fcis-25930	106	8	,	,	PUNCT
fcis-25930	106	9	where	where	SCONJ
fcis-25930	106	10	each	each	DET
fcis-25930	106	11	piece	piece	NOUN
fcis-25930	106	12	of	of	ADP
fcis-25930	106	13	information	information	NOUN
fcis-25930	106	14	is	be	AUX
fcis-25930	106	15	represented	represent	VERB
fcis-25930	106	16	as	as	ADP
fcis-25930	106	17	an	an	DET
fcis-25930	106	18	independent	independent	ADJ
fcis-25930	106	19	and	and	CCONJ
fcis-25930	106	20	complete	complete	ADJ
fcis-25930	106	21	unit	unit	NOUN
fcis-25930	106	22	.	.	PUNCT
fcis-25930	107	1	this	this	DET
fcis-25930	107	2	structuring	structuring	NOUN
fcis-25930	107	3	ensures	ensure	VERB
fcis-25930	107	4	that	that	SCONJ
fcis-25930	107	5	information	information	NOUN
fcis-25930	107	6	is	be	AUX
fcis-25930	107	7	readily	readily	ADV
fcis-25930	107	8	accessible	accessible	ADJ
fcis-25930	107	9	and	and	CCONJ
fcis-25930	107	10	can	can	AUX
fcis-25930	107	11	be	be	AUX
fcis-25930	107	12	effectively	effectively	ADV
fcis-25930	107	13	retrieved	retrieve	VERB
fcis-25930	107	14	in	in	ADP
fcis-25930	107	15	response	response	NOUN
fcis-25930	107	16	to	to	ADP
fcis-25930	107	17	user	user	NOUN
fcis-25930	107	18	queries	query	NOUN
fcis-25930	107	19	.	.	PUNCT
fcis-25930	108	1	3.2.1	3.2.1	X
fcis-25930	108	2	.	.	PUNCT
fcis-25930	108	3	decomposition	decomposition	NOUN
fcis-25930	108	4	and	and	CCONJ
fcis-25930	108	5	structuring	structuring	NOUN
fcis-25930	108	6	techniques	technique	NOUN
fcis-25930	108	7	the	the	DET
fcis-25930	108	8	module	module	NOUN
fcis-25930	108	9	employs	employ	VERB
fcis-25930	108	10	various	various	ADJ
fcis-25930	108	11	techniques	technique	NOUN
fcis-25930	108	12	to	to	PART
fcis-25930	108	13	parse	parse	VERB
fcis-25930	108	14	and	and	CCONJ
fcis-25930	108	15	segment	segment	NOUN
fcis-25930	108	16	documents	document	NOUN
fcis-25930	108	17	into	into	ADP
fcis-25930	108	18	smaller	small	ADJ
fcis-25930	108	19	,	,	PUNCT
fcis-25930	108	20	logically	logically	ADV
fcis-25930	108	21	coherent	coherent	ADJ
fcis-25930	108	22	units	unit	NOUN
fcis-25930	108	23	.	.	PUNCT
fcis-25930	109	1	documents	document	NOUN
fcis-25930	109	2	are	be	AUX
fcis-25930	109	3	broken	break	VERB
fcis-25930	109	4	down	down	ADP
fcis-25930	109	5	into	into	ADP
fcis-25930	109	6	paragraphs	paragraph	NOUN
fcis-25930	109	7	,	,	PUNCT
fcis-25930	109	8	sections	section	NOUN
fcis-25930	109	9	,	,	PUNCT
fcis-25930	109	10	or	or	CCONJ
fcis-25930	109	11	sentences	sentence	NOUN
fcis-25930	109	12	that	that	PRON
fcis-25930	109	13	encapsulate	encapsulate	VERB
fcis-25930	109	14	specific	specific	ADJ
fcis-25930	109	15	ideas	idea	NOUN
fcis-25930	109	16	or	or	CCONJ
fcis-25930	109	17	facts	fact	NOUN
fcis-25930	109	18	.	.	PUNCT
fcis-25930	110	1	the	the	DET
fcis-25930	110	2	decomposed	decompose	VERB
fcis-25930	110	3	units	unit	NOUN
fcis-25930	110	4	are	be	AUX
fcis-25930	110	5	enriched	enrich	VERB
fcis-25930	110	6	with	with	ADP
fcis-25930	110	7	metadata	metadata	NOUN
fcis-25930	110	8	,	,	PUNCT
fcis-25930	110	9	such	such	ADJ
fcis-25930	110	10	as	as	ADP
fcis-25930	110	11	topics	topic	NOUN
fcis-25930	110	12	,	,	PUNCT
fcis-25930	110	13	entities	entity	NOUN
fcis-25930	110	14	,	,	PUNCT
fcis-25930	110	15	or	or	CCONJ
fcis-25930	110	16	keywords	keyword	NOUN
fcis-25930	110	17	,	,	PUNCT
fcis-25930	110	18	facilitating	facilitate	VERB
fcis-25930	110	19	more	more	ADV
fcis-25930	110	20	precise	precise	ADJ
fcis-25930	110	21	retrieval	retrieval	NOUN
fcis-25930	110	22	.	.	PUNCT
fcis-25930	111	1	unstructured	unstructured	ADJ
fcis-25930	111	2	text	text	NOUN
fcis-25930	111	3	is	be	AUX
fcis-25930	111	4	converted	convert	VERB
fcis-25930	111	5	into	into	ADP
fcis-25930	111	6	structured	structured	ADJ
fcis-25930	111	7	formats	format	NOUN
fcis-25930	111	8	like	like	ADP
fcis-25930	111	9	tables	table	NOUN
fcis-25930	111	10	,	,	PUNCT
fcis-25930	111	11	graphs	graph	NOUN
fcis-25930	111	12	,	,	PUNCT
fcis-25930	111	13	or	or	CCONJ
fcis-25930	111	14	knowledge	knowledge	NOUN
fcis-25930	111	15	triples	triple	NOUN
fcis-25930	111	16	,	,	PUNCT
fcis-25930	111	17	preserving	preserve	VERB
fcis-25930	111	18	semantic	semantic	ADJ
fcis-25930	111	19	relationships	relationship	NOUN
fcis-25930	111	20	within	within	ADP
fcis-25930	111	21	the	the	DET
fcis-25930	111	22	data	datum	NOUN
fcis-25930	111	23	.	.	PUNCT
fcis-25930	112	1	each	each	DET
fcis-25930	112	2	unit	unit	NOUN
fcis-25930	112	3	in	in	ADP
fcis-25930	112	4	is	be	AUX
fcis-25930	112	5	crafted	craft	VERB
fcis-25930	112	6	to	to	PART
fcis-25930	112	7	be	be	AUX
fcis-25930	112	8	both	both	CCONJ
fcis-25930	112	9	independent	independent	ADJ
fcis-25930	112	10	and	and	CCONJ
fcis-25930	112	11	complete	complete	ADJ
fcis-25930	112	12	.	.	PUNCT
fcis-25930	113	1	units	unit	NOUN
fcis-25930	113	2	are	be	AUX
fcis-25930	113	3	self	self	NOUN
fcis-25930	113	4	-	-	PUNCT
fcis-25930	113	5	contained	contain	VERB
fcis-25930	113	6	,	,	PUNCT
fcis-25930	113	7	minimizing	minimize	VERB
fcis-25930	113	8	dependencies	dependency	NOUN
fcis-25930	113	9	on	on	ADP
fcis-25930	113	10	external	external	ADJ
fcis-25930	113	11	context	context	NOUN
fcis-25930	113	12	or	or	CCONJ
fcis-25930	113	13	other	other	ADJ
fcis-25930	113	14	parts	part	NOUN
fcis-25930	113	15	of	of	ADP
fcis-25930	113	16	the	the	DET
fcis-25930	113	17	document	document	NOUN
fcis-25930	113	18	.	.	PUNCT
fcis-25930	114	1	this	this	PRON
fcis-25930	114	2	allows	allow	VERB
fcis-25930	114	3	them	they	PRON
fcis-25930	114	4	to	to	PART
fcis-25930	114	5	be	be	AUX
fcis-25930	114	6	retrieved	retrieve	VERB
fcis-25930	114	7	and	and	CCONJ
fcis-25930	114	8	understood	understand	VERB
fcis-25930	114	9	in	in	ADP
fcis-25930	114	10	isolation	isolation	NOUN
fcis-25930	114	11	.	.	PUNCT
fcis-25930	115	1	units	unit	NOUN
fcis-25930	115	2	contain	contain	VERB
fcis-25930	115	3	all	all	DET
fcis-25930	115	4	necessary	necessary	ADJ
fcis-25930	115	5	information	information	NOUN
fcis-25930	115	6	to	to	PART
fcis-25930	115	7	convey	convey	VERB
fcis-25930	115	8	a	a	DET
fcis-25930	115	9	concept	concept	NOUN
fcis-25930	115	10	or	or	CCONJ
fcis-25930	115	11	answer	answer	VERB
fcis-25930	115	12	a	a	DET
fcis-25930	115	13	query	query	NOUN
fcis-25930	115	14	related	relate	VERB
fcis-25930	115	15	to	to	ADP
fcis-25930	115	16	their	their	PRON
fcis-25930	115	17	content	content	NOUN
fcis-25930	115	18	,	,	PUNCT
fcis-25930	115	19	reducing	reduce	VERB
fcis-25930	115	20	the	the	DET
fcis-25930	115	21	need	need	NOUN
fcis-25930	115	22	for	for	ADP
fcis-25930	115	23	additional	additional	ADJ
fcis-25930	115	24	context	context	NOUN
fcis-25930	115	25	.	.	PUNCT
fcis-25930	116	1	by	by	ADP
fcis-25930	116	2	structuring	structure	VERB
fcis-25930	116	3	the	the	DET
fcis-25930	116	4	document	document	NOUN
fcis-25930	116	5	corpus	corpus	NOUN
fcis-25930	116	6	in	in	ADP
fcis-25930	116	7	this	this	DET
fcis-25930	116	8	way	way	NOUN
fcis-25930	116	9	,	,	PUNCT
fcis-25930	116	10	the	the	DET
fcis-25930	116	11	retriever	retriever	NOUN
fcis-25930	116	12	can	can	AUX
fcis-25930	116	13	more	more	ADV
fcis-25930	116	14	effectively	effectively	ADV
fcis-25930	116	15	match	match	VERB
fcis-25930	116	16	user	user	NOUN
fcis-25930	116	17	queries	query	NOUN
fcis-25930	116	18	with	with	ADP
fcis-25930	116	19	relevant	relevant	ADJ
fcis-25930	116	20	information	information	NOUN
fcis-25930	116	21	.	.	PUNCT
fcis-25930	117	1	the	the	DET
fcis-25930	117	2	retrieval	retrieval	NOUN
fcis-25930	117	3	process	process	NOUN
fcis-25930	117	4	becomes	become	VERB
fcis-25930	117	5	more	more	ADV
fcis-25930	117	6	precise	precise	ADJ
fcis-25930	117	7	,	,	PUNCT
fcis-25930	117	8	as	as	SCONJ
fcis-25930	117	9	queries	query	NOUN
fcis-25930	117	10	can	can	AUX
fcis-25930	117	11	be	be	AUX
fcis-25930	117	12	matched	match	VERB
fcis-25930	117	13	to	to	ADP
fcis-25930	117	14	specific	specific	ADJ
fcis-25930	117	15	units	unit	NOUN
fcis-25930	117	16	that	that	PRON
fcis-25930	117	17	directly	directly	ADV
fcis-25930	117	18	address	address	VERB
fcis-25930	117	19	the	the	DET
fcis-25930	117	20	user	user	NOUN
fcis-25930	117	21	's	's	PART
fcis-25930	117	22	intent	intent	NOUN
fcis-25930	117	23	.	.	PUNCT
fcis-25930	118	1	smaller	small	ADJ
fcis-25930	118	2	,	,	PUNCT
fcis-25930	118	3	well	well	ADV
fcis-25930	118	4	-	-	PUNCT
fcis-25930	118	5	defined	define	VERB
fcis-25930	118	6	units	unit	NOUN
fcis-25930	118	7	reduce	reduce	VERB
fcis-25930	118	8	computational	computational	ADJ
fcis-25930	118	9	load	load	NOUN
fcis-25930	118	10	during	during	ADP
fcis-25930	118	11	retrieval	retrieval	NOUN
fcis-25930	118	12	,	,	PUNCT
fcis-25930	118	13	enabling	enable	VERB
fcis-25930	118	14	faster	fast	ADJ
fcis-25930	118	15	response	response	NOUN
fcis-25930	118	16	times	time	NOUN
fcis-25930	118	17	.	.	PUNCT
fcis-25930	119	1	the	the	DET
fcis-25930	119	2	structuring	structuring	NOUN
fcis-25930	119	3	process	process	NOUN
fcis-25930	119	4	is	be	AUX
fcis-25930	119	5	defined	define	VERB
fcis-25930	119	6	as	as	ADP
fcis-25930	119	7	:	:	PUNCT
fcis-25930	119	8	structure	structure	NOUN
fcis-25930	119	9	where	where	SCONJ
fcis-25930	119	10	structure	structure	NOUN
fcis-25930	119	11	⋅	⋅	PROPN
fcis-25930	119	12	represents	represent	VERB
fcis-25930	119	13	the	the	DET
fcis-25930	119	14	decomposition	decomposition	NOUN
fcis-25930	119	15	and	and	CCONJ
fcis-25930	119	16	structuring	structuring	NOUN
fcis-25930	119	17	functions	function	NOUN
fcis-25930	119	18	applied	apply	VERB
fcis-25930	119	19	to	to	ADP
fcis-25930	119	20	the	the	DET
fcis-25930	119	21	original	original	ADJ
fcis-25930	119	22	documents	document	NOUN
fcis-25930	119	23	.	.	PUNCT
fcis-25930	120	1	the	the	DET
fcis-25930	120	2	accuracy	accuracy	NOUN
fcis-25930	120	3	and	and	CCONJ
fcis-25930	120	4	effectiveness	effectiveness	NOUN
fcis-25930	120	5	of	of	ADP
fcis-25930	120	6	are	be	AUX
fcis-25930	120	7	crucial	crucial	ADJ
fcis-25930	120	8	,	,	PUNCT
fcis-25930	120	9	as	as	SCONJ
fcis-25930	120	10	they	they	PRON
fcis-25930	120	11	directly	directly	ADV
fcis-25930	120	12	influence	influence	VERB
fcis-25930	120	13	the	the	DET
fcis-25930	120	14	relevance	relevance	NOUN
fcis-25930	120	15	of	of	ADP
fcis-25930	120	16	and	and	CCONJ
fcis-25930	120	17	the	the	DET
fcis-25930	120	18	quality	quality	NOUN
fcis-25930	120	19	of	of	ADP
fcis-25930	120	20	the	the	DET
fcis-25930	120	21	final	final	ADJ
fcis-25930	120	22	response	response	NOUN
fcis-25930	120	23	.	.	PUNCT
fcis-25930	121	1	3.3	3.3	NUM
fcis-25930	121	2	.	.	PUNCT
fcis-25930	122	1	generative	generative	ADJ
fcis-25930	122	2	integration	integration	NOUN
fcis-25930	122	3	model	model	VERB
fcis-25930	122	4	the	the	DET
fcis-25930	122	5	generative	generative	ADJ
fcis-25930	122	6	integration	integration	NOUN
fcis-25930	122	7	model	model	NOUN
fcis-25930	122	8	produces	produce	VERB
fcis-25930	122	9	the	the	DET
fcis-25930	122	10	final	final	ADJ
fcis-25930	122	11	response	response	NOUN
fcis-25930	122	12	by	by	ADP
fcis-25930	122	13	integrating	integrate	VERB
fcis-25930	122	14	the	the	DET
fcis-25930	122	15	user	user	NOUN
fcis-25930	122	16	query	query	NOUN
fcis-25930	122	17	with	with	ADP
fcis-25930	122	18	the	the	DET
fcis-25930	122	19	retrieved	retrieve	VERB
fcis-25930	122	20	structured	structure	VERB
fcis-25930	122	21	data	datum	NOUN
fcis-25930	122	22	.	.	PUNCT
fcis-25930	123	1	designed	design	VERB
fcis-25930	123	2	to	to	PART
fcis-25930	123	3	generate	generate	VERB
fcis-25930	123	4	responses	response	NOUN
fcis-25930	123	5	that	that	PRON
fcis-25930	123	6	are	be	AUX
fcis-25930	123	7	coherent	coherent	ADJ
fcis-25930	123	8	,	,	PUNCT
fcis-25930	123	9	contextually	contextually	ADV
fcis-25930	123	10	relevant	relevant	ADJ
fcis-25930	123	11	,	,	PUNCT
fcis-25930	123	12	and	and	CCONJ
fcis-25930	123	13	accurate	accurate	ADJ
fcis-25930	123	14	with	with	ADP
fcis-25930	123	15	respect	respect	NOUN
fcis-25930	123	16	to	to	ADP
fcis-25930	123	17	the	the	DET
fcis-25930	123	18	user	user	NOUN
fcis-25930	123	19	's	's	PART
fcis-25930	123	20	intent	intent	NOUN
fcis-25930	123	21	,	,	PUNCT
fcis-25930	123	22	utilizes	utilize	VERB
fcis-25930	123	23	a	a	DET
fcis-25930	123	24	transformer	transformer	NOUN
fcis-25930	123	25	-	-	PUNCT
fcis-25930	123	26	based	base	VERB
fcis-25930	123	27	68	68	NUM
fcis-25930	123	28	architecture	architecture	NOUN
fcis-25930	123	29	leveraging	leverage	VERB
fcis-25930	123	30	encoder	encoder	NOUN
fcis-25930	123	31	-	-	PUNCT
fcis-25930	123	32	decoder	decoder	NOUN
fcis-25930	123	33	structures	structure	NOUN
fcis-25930	123	34	.	.	PUNCT
fcis-25930	124	1	the	the	DET
fcis-25930	124	2	encoder	encoder	NOUN
fcis-25930	124	3	processes	process	VERB
fcis-25930	124	4	and	and	CCONJ
fcis-25930	124	5	,	,	PUNCT
fcis-25930	124	6	encoding	encode	VERB
fcis-25930	124	7	them	they	PRON
fcis-25930	124	8	into	into	ADP
fcis-25930	124	9	latent	latent	ADJ
fcis-25930	124	10	representations	representation	NOUN
fcis-25930	124	11	that	that	PRON
fcis-25930	124	12	capture	capture	VERB
fcis-25930	124	13	semantic	semantic	ADJ
fcis-25930	124	14	and	and	CCONJ
fcis-25930	124	15	contextual	contextual	ADJ
fcis-25930	124	16	information	information	NOUN
fcis-25930	124	17	:	:	PUNCT
fcis-25930	124	18	encoder	encoder	NOUN
fcis-25930	124	19	,	,	PUNCT
fcis-25930	124	20	the	the	DET
fcis-25930	124	21	decoder	decoder	NOUN
fcis-25930	124	22	generates	generate	VERB
fcis-25930	124	23	the	the	DET
fcis-25930	124	24	response	response	NOUN
fcis-25930	124	25	by	by	ADP
fcis-25930	124	26	attending	attend	VERB
fcis-25930	124	27	to	to	ADP
fcis-25930	124	28	the	the	DET
fcis-25930	124	29	encoded	encode	VERB
fcis-25930	124	30	representations	representation	NOUN
fcis-25930	124	31	.	.	PUNCT
fcis-25930	125	1	at	at	ADP
fcis-25930	125	2	each	each	DET
fcis-25930	125	3	time	time	NOUN
fcis-25930	125	4	step	step	NOUN
fcis-25930	125	5	,	,	PUNCT
fcis-25930	125	6	it	it	PRON
fcis-25930	125	7	predicts	predict	VERB
fcis-25930	125	8	the	the	DET
fcis-25930	125	9	next	next	ADJ
fcis-25930	125	10	token	token	NOUN
fcis-25930	125	11	conditioned	condition	VERB
fcis-25930	125	12	on	on	ADP
fcis-25930	125	13	the	the	DET
fcis-25930	125	14	previous	previous	ADJ
fcis-25930	125	15	tokens	token	NOUN
fcis-25930	125	16	and	and	CCONJ
fcis-25930	125	17	:	:	PUNCT
fcis-25930	125	18	∣	∣	ADJ
fcis-25930	125	19	,	,	PUNCT
fcis-25930	125	20	decoder	decoder	NOUN
fcis-25930	125	21	,	,	PUNCT
fcis-25930	125	22	the	the	DET
fcis-25930	125	23	probability	probability	NOUN
fcis-25930	125	24	of	of	ADP
fcis-25930	125	25	generating	generate	VERB
fcis-25930	125	26	the	the	DET
fcis-25930	125	27	response	response	NOUN
fcis-25930	125	28	given	give	VERB
fcis-25930	125	29	and	and	CCONJ
fcis-25930	125	30	is	be	AUX
fcis-25930	125	31	:	:	PUNCT
fcis-25930	125	32	∣	∣	ADJ
fcis-25930	125	33	,	,	PUNCT
fcis-25930	125	34	  	  	SPACE
fcis-25930	125	35	∣	∣	PROPN
fcis-25930	125	36	,	,	PUNCT
fcis-25930	125	37	to	to	PART
fcis-25930	125	38	demonstrate	demonstrate	VERB
fcis-25930	125	39	the	the	DET
fcis-25930	125	40	effectiveness	effectiveness	NOUN
fcis-25930	125	41	of	of	ADP
fcis-25930	125	42	,	,	PUNCT
fcis-25930	125	43	we	we	PRON
fcis-25930	125	44	seek	seek	VERB
fcis-25930	125	45	to	to	PART
fcis-25930	125	46	maximize	maximize	VERB
fcis-25930	125	47	the	the	DET
fcis-25930	125	48	likelihood	likelihood	NOUN
fcis-25930	125	49	of	of	ADP
fcis-25930	125	50	the	the	DET
fcis-25930	125	51	true	true	ADJ
fcis-25930	125	52	response	response	NOUN
fcis-25930	125	53	true	true	ADJ
fcis-25930	125	54	given	give	VERB
fcis-25930	125	55	and	and	CCONJ
fcis-25930	125	56	.	.	PUNCT
fcis-25930	126	1	the	the	DET
fcis-25930	126	2	training	training	NOUN
fcis-25930	126	3	objective	objective	NOUN
fcis-25930	126	4	is	be	AUX
fcis-25930	126	5	to	to	PART
fcis-25930	126	6	minimize	minimize	VERB
fcis-25930	126	7	the	the	DET
fcis-25930	126	8	loss	loss	NOUN
fcis-25930	126	9	function	function	NOUN
fcis-25930	126	10	:	:	PUNCT
fcis-25930	126	11	  	  	SPACE
fcis-25930	126	12	log	log	VERB
fcis-25930	126	13	true	true	ADJ
fcis-25930	126	14	∣	∣	ADJ
fcis-25930	126	15	true	true	ADJ
fcis-25930	126	16	,	,	PUNCT
fcis-25930	126	17	by	by	ADP
fcis-25930	126	18	minimizing	minimize	VERB
fcis-25930	126	19	,	,	PUNCT
fcis-25930	126	20	we	we	PRON
fcis-25930	126	21	adjust	adjust	VERB
fcis-25930	126	22	the	the	DET
fcis-25930	126	23	parameters	parameter	NOUN
fcis-25930	126	24	of	of	ADP
fcis-25930	126	25	to	to	PART
fcis-25930	126	26	increase	increase	VERB
fcis-25930	126	27	true	true	ADJ
fcis-25930	126	28	∣	∣	ADJ
fcis-25930	126	29	,	,	PUNCT
fcis-25930	126	30	,	,	PUNCT
fcis-25930	126	31	enhancing	enhance	VERB
fcis-25930	126	32	the	the	DET
fcis-25930	126	33	model	model	NOUN
fcis-25930	126	34	's	's	PART
fcis-25930	126	35	ability	ability	NOUN
fcis-25930	126	36	to	to	PART
fcis-25930	126	37	generate	generate	VERB
fcis-25930	126	38	responses	response	NOUN
fcis-25930	126	39	that	that	PRON
fcis-25930	126	40	align	align	VERB
fcis-25930	126	41	with	with	ADP
fcis-25930	126	42	the	the	DET
fcis-25930	126	43	user	user	NOUN
fcis-25930	126	44	's	's	PART
fcis-25930	126	45	intent	intent	NOUN
fcis-25930	126	46	and	and	CCONJ
fcis-25930	126	47	the	the	DET
fcis-25930	126	48	relevant	relevant	ADJ
fcis-25930	126	49	structured	structured	ADJ
fcis-25930	126	50	information	information	NOUN
fcis-25930	126	51	.	.	PUNCT
fcis-25930	127	1	4	4	X
fcis-25930	127	2	.	.	X
fcis-25930	127	3	experimental	experimental	ADJ
fcis-25930	127	4	setup	setup	NOUN
fcis-25930	127	5	table	table	NOUN
fcis-25930	127	6	1	1	NUM
fcis-25930	127	7	.	.	PUNCT
fcis-25930	128	1	characteristics	characteristic	NOUN
fcis-25930	128	2	of	of	ADP
fcis-25930	128	3	datasets	dataset	NOUN
fcis-25930	128	4	ds_1	ds_1	PROPN
fcis-25930	128	5	,	,	PUNCT
fcis-25930	128	6	ds_2	ds_2	PROPN
fcis-25930	128	7	,	,	PUNCT
fcis-25930	128	8	and	and	CCONJ
fcis-25930	128	9	ds_3	ds_3	PROPN
fcis-25930	128	10	.	.	PUNCT
fcis-25930	129	1	datasets	dataset	NOUN
fcis-25930	129	2	articles	article	NOUN
fcis-25930	129	3	count	count	PROPN
fcis-25930	129	4	avg	avg	PROPN
fcis-25930	129	5	.	.	PUNCT
fcis-25930	129	6	text	text	NOUN
fcis-25930	129	7	length	length	NOUN
fcis-25930	129	8	(	(	PUNCT
fcis-25930	129	9	tokens	tokens	PROPN
fcis-25930	129	10	)	)	PUNCT
fcis-25930	129	11	avg	avg	PROPN
fcis-25930	129	12	.	.	PUNCT
fcis-25930	130	1	headings	heading	NOUN
fcis-25930	130	2	count	count	PROPN
fcis-25930	130	3	avg	avg	PROPN
fcis-25930	130	4	.	.	PROPN
fcis-25930	131	1	hierarchical	hierarchical	ADJ
fcis-25930	131	2	levels	level	NOUN
fcis-25930	131	3	ds_1	ds_1	PROPN
fcis-25930	131	4	20000	20000	NUM
fcis-25930	131	5	7500	7500	NUM
fcis-25930	131	6	4.4	4.4	NUM
fcis-25930	131	7	1	1	NUM
fcis-25930	131	8	ds_2	ds_2	NOUN
fcis-25930	131	9	20000	20000	NUM
fcis-25930	131	10	8700	8700	NUM
fcis-25930	131	11	8.2	8.2	NUM
fcis-25930	131	12	2	2	NUM
fcis-25930	131	13	ds_3	ds_3	PROPN
fcis-25930	131	14	20000	20000	NUM
fcis-25930	131	15	9200	9200	NUM
fcis-25930	131	16	11.4	11.4	NUM
fcis-25930	131	17	3	3	NUM
fcis-25930	131	18	in	in	ADP
fcis-25930	131	19	this	this	DET
fcis-25930	131	20	section	section	NOUN
fcis-25930	131	21	,	,	PUNCT
fcis-25930	131	22	we	we	PRON
fcis-25930	131	23	outline	outline	VERB
fcis-25930	131	24	the	the	DET
fcis-25930	131	25	experimental	experimental	ADJ
fcis-25930	131	26	setup	setup	NOUN
fcis-25930	131	27	used	use	VERB
fcis-25930	131	28	to	to	PART
fcis-25930	131	29	evaluate	evaluate	VERB
fcis-25930	131	30	the	the	DET
fcis-25930	131	31	effectiveness	effectiveness	NOUN
fcis-25930	131	32	of	of	ADP
fcis-25930	131	33	the	the	DET
fcis-25930	131	34	generative	generative	ADJ
fcis-25930	131	35	semantic	semantic	ADJ
fcis-25930	131	36	integration	integration	NOUN
fcis-25930	131	37	(	(	PUNCT
fcis-25930	131	38	gsi	gsi	PROPN
fcis-25930	131	39	)	)	PUNCT
fcis-25930	131	40	framework	framework	NOUN
fcis-25930	131	41	.	.	PUNCT
fcis-25930	132	1	given	give	VERB
fcis-25930	132	2	the	the	DET
fcis-25930	132	3	lack	lack	NOUN
fcis-25930	132	4	of	of	ADP
fcis-25930	132	5	fine	fine	ADV
fcis-25930	132	6	-	-	PUNCT
fcis-25930	132	7	grained	grain	VERB
fcis-25930	132	8	,	,	PUNCT
fcis-25930	132	9	publicly	publicly	ADV
fcis-25930	132	10	available	available	ADJ
fcis-25930	132	11	datasets	dataset	NOUN
fcis-25930	132	12	specifically	specifically	ADV
fcis-25930	132	13	tailored	tailor	VERB
fcis-25930	132	14	for	for	ADP
fcis-25930	132	15	training	train	VERB
fcis-25930	132	16	large	large	ADJ
fcis-25930	132	17	language	language	NOUN
fcis-25930	132	18	models	model	NOUN
fcis-25930	132	19	(	(	PUNCT
fcis-25930	132	20	llms	llm	NOUN
fcis-25930	132	21	)	)	PUNCT
fcis-25930	132	22	as	as	ADP
fcis-25930	132	23	structural	structural	ADJ
fcis-25930	132	24	parsers	parser	NOUN
fcis-25930	132	25	,	,	PUNCT
fcis-25930	132	26	we	we	PRON
fcis-25930	132	27	curated	curate	VERB
fcis-25930	132	28	a	a	DET
fcis-25930	132	29	custom	custom	NOUN
fcis-25930	132	30	dataset	dataset	NOUN
fcis-25930	132	31	for	for	ADP
fcis-25930	132	32	our	our	PRON
fcis-25930	132	33	experiments	experiment	NOUN
fcis-25930	132	34	.	.	PUNCT
fcis-25930	133	1	our	our	PRON
fcis-25930	133	2	primary	primary	ADJ
fcis-25930	133	3	goal	goal	NOUN
fcis-25930	133	4	was	be	AUX
fcis-25930	133	5	to	to	PART
fcis-25930	133	6	determine	determine	VERB
fcis-25930	133	7	whether	whether	SCONJ
fcis-25930	133	8	an	an	DET
fcis-25930	133	9	llm	llm	NOUN
fcis-25930	133	10	can	can	AUX
fcis-25930	133	11	be	be	AUX
fcis-25930	133	12	trained	train	VERB
fcis-25930	133	13	to	to	PART
fcis-25930	133	14	specialize	specialize	VERB
fcis-25930	133	15	in	in	ADP
fcis-25930	133	16	structural	structural	ADJ
fcis-25930	133	17	parsing	parsing	NOUN
fcis-25930	133	18	.	.	PUNCT
fcis-25930	134	1	we	we	PRON
fcis-25930	134	2	constructed	construct	VERB
fcis-25930	134	3	the	the	DET
fcis-25930	134	4	dataset	dataset	NOUN
fcis-25930	134	5	by	by	ADP
fcis-25930	134	6	crawling	crawl	VERB
fcis-25930	134	7	approximately	approximately	ADV
fcis-25930	134	8	200,000	200,000	NUM
fcis-25930	134	9	articles	article	NOUN
fcis-25930	134	10	from	from	ADP
fcis-25930	134	11	the	the	DET
fcis-25930	134	12	arxiv	arxiv	PROPN
fcis-25930	134	13	repository	repository	NOUN
fcis-25930	134	14	,	,	PUNCT
fcis-25930	134	15	a	a	DET
fcis-25930	134	16	widely	widely	ADV
fcis-25930	134	17	recognized	recognize	VERB
fcis-25930	134	18	source	source	NOUN
fcis-25930	134	19	for	for	ADP
fcis-25930	134	20	scientific	scientific	ADJ
fcis-25930	134	21	papers	paper	NOUN
fcis-25930	134	22	.	.	PUNCT
fcis-25930	135	1	to	to	PART
fcis-25930	135	2	ensure	ensure	VERB
fcis-25930	135	3	the	the	DET
fcis-25930	135	4	dataset	dataset	NOUN
fcis-25930	135	5	focused	focus	VERB
fcis-25930	135	6	on	on	ADP
fcis-25930	135	7	documents	document	NOUN
fcis-25930	135	8	with	with	ADP
fcis-25930	135	9	inherent	inherent	ADJ
fcis-25930	135	10	structural	structural	ADJ
fcis-25930	135	11	complexity	complexity	NOUN
fcis-25930	135	12	,	,	PUNCT
fcis-25930	135	13	we	we	PRON
fcis-25930	135	14	removed	remove	VERB
fcis-25930	135	15	around	around	ADV
fcis-25930	135	16	40	40	NUM
fcis-25930	135	17	%	%	NOUN
fcis-25930	135	18	of	of	ADP
fcis-25930	135	19	the	the	DET
fcis-25930	135	20	articles	article	NOUN
fcis-25930	135	21	without	without	ADP
fcis-25930	135	22	a	a	DET
fcis-25930	135	23	structured	structured	ADJ
fcis-25930	135	24	table	table	NOUN
fcis-25930	135	25	of	of	ADP
fcis-25930	135	26	contents	content	NOUN
fcis-25930	135	27	.	.	PUNCT
fcis-25930	136	1	the	the	DET
fcis-25930	136	2	remaining	remain	VERB
fcis-25930	136	3	articles	article	NOUN
fcis-25930	136	4	were	be	AUX
fcis-25930	136	5	categorized	categorize	VERB
fcis-25930	136	6	into	into	ADP
fcis-25930	136	7	three	three	NUM
fcis-25930	136	8	classes	class	NOUN
fcis-25930	136	9	based	base	VERB
fcis-25930	136	10	on	on	ADP
fcis-25930	136	11	their	their	PRON
fcis-25930	136	12	structural	structural	ADJ
fcis-25930	136	13	complexity	complexity	NOUN
fcis-25930	136	14	:	:	PUNCT
fcis-25930	136	15	simple	simple	ADJ
fcis-25930	136	16	structures	structure	NOUN
fcis-25930	136	17	with	with	ADP
fcis-25930	136	18	minimal	minimal	ADJ
fcis-25930	136	19	hierarchical	hierarchical	ADJ
fcis-25930	136	20	depth	depth	NOUN
fcis-25930	136	21	(	(	PUNCT
fcis-25930	136	22	class	class	NOUN
fcis-25930	136	23	1	1	NUM
fcis-25930	136	24	)	)	PUNCT
fcis-25930	136	25	,	,	PUNCT
fcis-25930	136	26	moderate	moderate	ADJ
fcis-25930	136	27	structures	structure	NOUN
fcis-25930	136	28	with	with	ADP
fcis-25930	136	29	multilevel	multilevel	ADJ
fcis-25930	136	30	headings	heading	NOUN
fcis-25930	136	31	and	and	CCONJ
fcis-25930	136	32	moderate	moderate	ADJ
fcis-25930	136	33	use	use	NOUN
fcis-25930	136	34	of	of	ADP
fcis-25930	136	35	subsections	subsection	NOUN
fcis-25930	136	36	(	(	PUNCT
fcis-25930	136	37	class	class	NOUN
fcis-25930	136	38	2	2	NUM
fcis-25930	136	39	)	)	PUNCT
fcis-25930	136	40	,	,	PUNCT
fcis-25930	136	41	and	and	CCONJ
fcis-25930	136	42	complex	complex	ADJ
fcis-25930	136	43	structures	structure	NOUN
fcis-25930	136	44	characterized	characterize	VERB
fcis-25930	136	45	by	by	ADP
fcis-25930	136	46	extensive	extensive	ADJ
fcis-25930	136	47	use	use	NOUN
fcis-25930	136	48	of	of	ADP
fcis-25930	136	49	multilevel	multilevel	ADJ
fcis-25930	136	50	headings	heading	NOUN
fcis-25930	136	51	,	,	PUNCT
fcis-25930	136	52	tables	table	NOUN
fcis-25930	136	53	,	,	PUNCT
fcis-25930	136	54	figures	figure	NOUN
fcis-25930	136	55	,	,	PUNCT
fcis-25930	136	56	equations	equation	NOUN
fcis-25930	136	57	,	,	PUNCT
fcis-25930	136	58	and	and	CCONJ
fcis-25930	136	59	diverse	diverse	ADJ
fcis-25930	136	60	types	type	NOUN
fcis-25930	136	61	of	of	ADP
fcis-25930	136	62	content	content	NOUN
fcis-25930	136	63	sections	section	NOUN
fcis-25930	136	64	(	(	PUNCT
fcis-25930	136	65	class	class	NOUN
fcis-25930	136	66	3	3	NUM
fcis-25930	136	67	)	)	PUNCT
fcis-25930	136	68	.	.	PUNCT
fcis-25930	137	1	this	this	DET
fcis-25930	137	2	stratification	stratification	NOUN
fcis-25930	137	3	was	be	AUX
fcis-25930	137	4	essential	essential	ADJ
fcis-25930	137	5	to	to	PART
fcis-25930	137	6	evaluate	evaluate	VERB
fcis-25930	137	7	the	the	DET
fcis-25930	137	8	gsi	gsi	PROPN
fcis-25930	137	9	framework	framework	NOUN
fcis-25930	137	10	across	across	ADP
fcis-25930	137	11	various	various	ADJ
fcis-25930	137	12	levels	level	NOUN
fcis-25930	137	13	of	of	ADP
fcis-25930	137	14	document	document	NOUN
fcis-25930	137	15	complexity	complexity	NOUN
fcis-25930	137	16	.	.	PUNCT
fcis-25930	138	1	descriptive	descriptive	ADJ
fcis-25930	138	2	statistics	statistic	NOUN
fcis-25930	138	3	of	of	ADP
fcis-25930	138	4	the	the	DET
fcis-25930	138	5	dataset	dataset	NOUN
fcis-25930	138	6	,	,	PUNCT
fcis-25930	138	7	including	include	VERB
fcis-25930	138	8	the	the	DET
fcis-25930	138	9	number	number	NOUN
fcis-25930	138	10	of	of	ADP
fcis-25930	138	11	documents	document	NOUN
fcis-25930	138	12	in	in	ADP
fcis-25930	138	13	each	each	DET
fcis-25930	138	14	class	class	NOUN
fcis-25930	138	15	,	,	PUNCT
fcis-25930	138	16	the	the	DET
fcis-25930	138	17	average	average	ADJ
fcis-25930	138	18	number	number	NOUN
fcis-25930	138	19	of	of	ADP
fcis-25930	138	20	sections	section	NOUN
fcis-25930	138	21	per	per	ADP
fcis-25930	138	22	document	document	NOUN
fcis-25930	138	23	,	,	PUNCT
fcis-25930	138	24	and	and	CCONJ
fcis-25930	138	25	the	the	DET
fcis-25930	138	26	average	average	ADJ
fcis-25930	138	27	document	document	NOUN
fcis-25930	138	28	length	length	NOUN
fcis-25930	138	29	,	,	PUNCT
fcis-25930	138	30	are	be	AUX
fcis-25930	138	31	summarized	summarize	VERB
fcis-25930	138	32	in	in	ADP
fcis-25930	138	33	table	table	NOUN
fcis-25930	138	34	1	1	NUM
fcis-25930	138	35	.	.	PUNCT
fcis-25930	139	1	the	the	DET
fcis-25930	139	2	probability	probability	NOUN
fcis-25930	139	3	distribution	distribution	NOUN
fcis-25930	139	4	of	of	ADP
fcis-25930	139	5	documents	document	NOUN
fcis-25930	139	6	across	across	ADP
fcis-25930	139	7	the	the	DET
fcis-25930	139	8	three	three	NUM
fcis-25930	139	9	classes	class	NOUN
fcis-25930	139	10	is	be	AUX
fcis-25930	139	11	illustrated	illustrate	VERB
fcis-25930	139	12	in	in	ADP
fcis-25930	139	13	figure	figure	NOUN
fcis-25930	139	14	2	2	NUM
fcis-25930	139	15	,	,	PUNCT
fcis-25930	139	16	while	while	SCONJ
fcis-25930	139	17	figure	figure	NOUN
fcis-25930	139	18	3	3	NUM
fcis-25930	139	19	visualizes	visualize	VERB
fcis-25930	139	20	the	the	DET
fcis-25930	139	21	distribution	distribution	NOUN
fcis-25930	139	22	of	of	ADP
fcis-25930	139	23	document	document	NOUN
fcis-25930	139	24	lengths	length	NOUN
fcis-25930	139	25	and	and	CCONJ
fcis-25930	139	26	the	the	DET
fcis-25930	139	27	number	number	NOUN
fcis-25930	139	28	of	of	ADP
fcis-25930	139	29	sections	section	NOUN
fcis-25930	139	30	per	per	ADP
fcis-25930	139	31	document	document	NOUN
fcis-25930	139	32	across	across	ADP
fcis-25930	139	33	the	the	DET
fcis-25930	139	34	three	three	NUM
fcis-25930	139	35	classes	class	NOUN
fcis-25930	139	36	,	,	PUNCT
fcis-25930	139	37	demonstrating	demonstrate	VERB
fcis-25930	139	38	the	the	DET
fcis-25930	139	39	variation	variation	NOUN
fcis-25930	139	40	in	in	ADP
fcis-25930	139	41	structural	structural	ADJ
fcis-25930	139	42	characteristics	characteristic	NOUN
fcis-25930	139	43	.	.	PUNCT
fcis-25930	140	1	to	to	PART
fcis-25930	140	2	benchmark	benchmark	VERB
fcis-25930	140	3	the	the	DET
fcis-25930	140	4	performance	performance	NOUN
fcis-25930	140	5	of	of	ADP
fcis-25930	140	6	the	the	DET
fcis-25930	140	7	gsi	gsi	PROPN
fcis-25930	140	8	framework	framework	NOUN
fcis-25930	140	9	,	,	PUNCT
fcis-25930	140	10	we	we	PRON
fcis-25930	140	11	selected	select	VERB
fcis-25930	140	12	two	two	NUM
fcis-25930	140	13	baseline	baseline	NOUN
fcis-25930	140	14	models	model	NOUN
fcis-25930	140	15	based	base	VERB
fcis-25930	140	16	on	on	ADP
fcis-25930	140	17	different	different	ADJ
fcis-25930	140	18	versions	version	NOUN
fcis-25930	140	19	of	of	ADP
fcis-25930	140	20	the	the	DET
fcis-25930	140	21	qwen	qwen	PROPN
fcis-25930	140	22	large	large	ADJ
fcis-25930	140	23	language	language	NOUN
fcis-25930	140	24	model	model	NOUN
fcis-25930	140	25	,	,	PUNCT
fcis-25930	140	26	known	know	VERB
fcis-25930	140	27	for	for	ADP
fcis-25930	140	28	their	their	PRON
fcis-25930	140	29	capabilities	capability	NOUN
fcis-25930	140	30	in	in	ADP
fcis-25930	140	31	natural	natural	ADJ
fcis-25930	140	32	language	language	NOUN
fcis-25930	140	33	understanding	understanding	NOUN
fcis-25930	140	34	and	and	CCONJ
fcis-25930	140	35	generation	generation	NOUN
fcis-25930	140	36	.	.	PUNCT
fcis-25930	141	1	these	these	PRON
fcis-25930	141	2	include	include	VERB
fcis-25930	141	3	qwen1.5	qwen1.5	NOUN
fcis-25930	141	4	-	-	PUNCT
fcis-25930	141	5	0.5b	0.5b	NOUN
fcis-25930	141	6	,	,	PUNCT
fcis-25930	141	7	a	a	DET
fcis-25930	141	8	smaller	small	ADJ
fcis-25930	141	9	model	model	NOUN
fcis-25930	141	10	with	with	ADP
fcis-25930	141	11	0.5	0.5	NUM
fcis-25930	141	12	billion	billion	NUM
fcis-25930	141	13	parameters	parameter	NOUN
fcis-25930	141	14	,	,	PUNCT
fcis-25930	141	15	and	and	CCONJ
fcis-25930	141	16	qwen1.8b	qwen1.8b	NOUN
fcis-25930	141	17	,	,	PUNCT
fcis-25930	141	18	a	a	DET
fcis-25930	141	19	larger	large	ADJ
fcis-25930	141	20	model	model	NOUN
fcis-25930	141	21	with	with	ADP
fcis-25930	141	22	1.8	1.8	NUM
fcis-25930	141	23	billion	billion	NUM
fcis-25930	141	24	parameters	parameter	NOUN
fcis-25930	141	25	.	.	PUNCT
fcis-25930	142	1	these	these	DET
fcis-25930	142	2	models	model	NOUN
fcis-25930	142	3	serve	serve	VERB
fcis-25930	142	4	as	as	ADP
fcis-25930	142	5	baselines	baseline	NOUN
fcis-25930	142	6	to	to	PART
fcis-25930	142	7	compare	compare	VERB
fcis-25930	142	8	the	the	DET
fcis-25930	142	9	effectiveness	effectiveness	NOUN
fcis-25930	142	10	of	of	ADP
fcis-25930	142	11	our	our	PRON
fcis-25930	142	12	gsi	gsi	PROPN
fcis-25930	142	13	methodology	methodology	NOUN
fcis-25930	142	14	,	,	PUNCT
fcis-25930	142	15	allowing	allow	VERB
fcis-25930	142	16	us	we	PRON
fcis-25930	142	17	to	to	PART
fcis-25930	142	18	assess	assess	VERB
fcis-25930	142	19	how	how	SCONJ
fcis-25930	142	20	well	well	ADV
fcis-25930	142	21	the	the	DET
fcis-25930	142	22	integration	integration	NOUN
fcis-25930	142	23	of	of	ADP
fcis-25930	142	24	structured	structured	ADJ
fcis-25930	142	25	document	document	NOUN
fcis-25930	142	26	information	information	NOUN
fcis-25930	142	27	improves	improve	VERB
fcis-25930	142	28	the	the	DET
fcis-25930	142	29	models	model	NOUN
fcis-25930	142	30	'	'	PART
fcis-25930	142	31	ability	ability	NOUN
fcis-25930	142	32	to	to	PART
fcis-25930	142	33	generate	generate	VERB
fcis-25930	142	34	accurate	accurate	ADJ
fcis-25930	142	35	and	and	CCONJ
fcis-25930	142	36	contextually	contextually	ADV
fcis-25930	142	37	relevant	relevant	ADJ
fcis-25930	142	38	responses	response	NOUN
fcis-25930	142	39	.	.	PUNCT
fcis-25930	143	1	to	to	PART
fcis-25930	143	2	evaluate	evaluate	VERB
fcis-25930	143	3	the	the	DET
fcis-25930	143	4	performance	performance	NOUN
fcis-25930	143	5	of	of	ADP
fcis-25930	143	6	the	the	DET
fcis-25930	143	7	gsi	gsi	PROPN
fcis-25930	143	8	framework	framework	NOUN
fcis-25930	143	9	and	and	CCONJ
fcis-25930	143	10	the	the	DET
fcis-25930	143	11	baseline	baseline	NOUN
fcis-25930	143	12	models	model	NOUN
fcis-25930	143	13	,	,	PUNCT
fcis-25930	143	14	we	we	PRON
fcis-25930	143	15	utilized	utilize	VERB
fcis-25930	143	16	standard	standard	ADJ
fcis-25930	143	17	metrics	metric	NOUN
fcis-25930	143	18	commonly	commonly	ADV
fcis-25930	143	19	used	use	VERB
fcis-25930	143	20	in	in	ADP
fcis-25930	143	21	information	information	NOUN
fcis-25930	143	22	retrieval	retrieval	NOUN
fcis-25930	143	23	and	and	CCONJ
fcis-25930	143	24	natural	natural	ADJ
fcis-25930	143	25	language	language	NOUN
fcis-25930	143	26	processing	processing	NOUN
fcis-25930	143	27	.	.	PUNCT
fcis-25930	144	1	these	these	DET
fcis-25930	144	2	metrics	metric	NOUN
fcis-25930	144	3	include	include	VERB
fcis-25930	144	4	:	:	PUNCT
fcis-25930	144	5	accuracy	accuracy	NOUN
fcis-25930	144	6	:	:	PUNCT
fcis-25930	144	7	the	the	DET
fcis-25930	144	8	proportion	proportion	NOUN
fcis-25930	144	9	of	of	ADP
fcis-25930	144	10	correctly	correctly	ADV
fcis-25930	144	11	generated	generate	VERB
fcis-25930	144	12	responses	response	NOUN
fcis-25930	144	13	that	that	PRON
fcis-25930	144	14	accurately	accurately	ADV
fcis-25930	144	15	reflect	reflect	VERB
fcis-25930	144	16	the	the	DET
fcis-25930	144	17	user	user	NOUN
fcis-25930	144	18	's	's	PART
fcis-25930	144	19	query	query	NOUN
fcis-25930	144	20	intent	intent	NOUN
fcis-25930	144	21	and	and	CCONJ
fcis-25930	144	22	the	the	DET
fcis-25930	144	23	information	information	NOUN
fcis-25930	144	24	in	in	ADP
fcis-25930	144	25	the	the	DET
fcis-25930	144	26	structured	structured	ADJ
fcis-25930	144	27	document	document	NOUN
fcis-25930	144	28	corpus	corpus	NOUN
fcis-25930	144	29	.	.	PUNCT
fcis-25930	145	1	this	this	DET
fcis-25930	145	2	metric	metric	NOUN
fcis-25930	145	3	provides	provide	VERB
fcis-25930	145	4	a	a	DET
fcis-25930	145	5	direct	direct	ADJ
fcis-25930	145	6	measure	measure	NOUN
fcis-25930	145	7	of	of	ADP
fcis-25930	145	8	the	the	DET
fcis-25930	145	9	model	model	NOUN
fcis-25930	145	10	's	's	PART
fcis-25930	145	11	ability	ability	NOUN
fcis-25930	145	12	to	to	PART
fcis-25930	145	13	produce	produce	VERB
fcis-25930	145	14	correct	correct	ADJ
fcis-25930	145	15	outputs	output	NOUN
fcis-25930	145	16	.	.	PUNCT
fcis-25930	146	1	mathematically	mathematically	ADV
fcis-25930	146	2	,	,	PUNCT
fcis-25930	146	3	accuracy	accuracy	NOUN
fcis-25930	146	4	is	be	AUX
fcis-25930	146	5	defined	define	VERB
fcis-25930	146	6	as	as	ADP
fcis-25930	146	7	:	:	PUNCT
fcis-25930	146	8	accuracy	accuracy	NOUN
fcis-25930	146	9	number	number	NOUN
fcis-25930	146	10	of	of	ADP
fcis-25930	146	11	correctly	correctly	ADV
fcis-25930	146	12	generated	generate	VERB
fcis-25930	146	13	responses	response	NOUN
fcis-25930	146	14	total	total	ADJ
fcis-25930	146	15	number	number	NOUN
fcis-25930	146	16	of	of	ADP
fcis-25930	146	17	responses	response	NOUN
fcis-25930	146	18	69	69	NUM
fcis-25930	146	19	recall	recall	NOUN
fcis-25930	146	20	:	:	PUNCT
fcis-25930	146	21	the	the	DET
fcis-25930	146	22	ratio	ratio	NOUN
fcis-25930	146	23	of	of	ADP
fcis-25930	146	24	relevant	relevant	ADJ
fcis-25930	146	25	information	information	NOUN
fcis-25930	146	26	retrieved	retrieve	VERB
fcis-25930	146	27	and	and	CCONJ
fcis-25930	146	28	integrated	integrate	VERB
fcis-25930	146	29	into	into	ADP
fcis-25930	146	30	the	the	DET
fcis-25930	146	31	final	final	ADJ
fcis-25930	146	32	response	response	NOUN
fcis-25930	146	33	to	to	ADP
fcis-25930	146	34	the	the	DET
fcis-25930	146	35	total	total	ADJ
fcis-25930	146	36	amount	amount	NOUN
fcis-25930	146	37	of	of	ADP
fcis-25930	146	38	relevant	relevant	ADJ
fcis-25930	146	39	information	information	NOUN
fcis-25930	146	40	available	available	ADJ
fcis-25930	146	41	.	.	PUNCT
fcis-25930	147	1	high	high	ADJ
fcis-25930	147	2	recall	recall	NOUN
fcis-25930	147	3	indicates	indicate	VERB
fcis-25930	147	4	that	that	SCONJ
fcis-25930	147	5	the	the	DET
fcis-25930	147	6	model	model	NOUN
fcis-25930	147	7	effectively	effectively	ADV
fcis-25930	147	8	utilizes	utilize	VERB
fcis-25930	147	9	all	all	DET
fcis-25930	147	10	pertinent	pertinent	ADJ
fcis-25930	147	11	data	datum	NOUN
fcis-25930	147	12	from	from	ADP
fcis-25930	147	13	the	the	DET
fcis-25930	147	14	structured	structured	ADJ
fcis-25930	147	15	documents	document	NOUN
fcis-25930	147	16	to	to	PART
fcis-25930	147	17	generate	generate	VERB
fcis-25930	147	18	responses	response	NOUN
fcis-25930	147	19	.	.	PUNCT
fcis-25930	148	1	recall	recall	NOUN
fcis-25930	148	2	is	be	AUX
fcis-25930	148	3	calculated	calculate	VERB
fcis-25930	148	4	as	as	ADP
fcis-25930	148	5	:	:	PUNCT
fcis-25930	148	6	recall	recall	VERB
fcis-25930	148	7	true	true	ADJ
fcis-25930	148	8	positives	positive	NOUN
fcis-25930	148	9	true	true	ADJ
fcis-25930	148	10	positives	positive	NOUN
fcis-25930	148	11	false	false	ADJ
fcis-25930	148	12	negatives	negative	NOUN
fcis-25930	148	13	precision	precision	NOUN
fcis-25930	148	14	:	:	PUNCT
fcis-25930	148	15	the	the	DET
fcis-25930	148	16	ratio	ratio	NOUN
fcis-25930	148	17	of	of	ADP
fcis-25930	148	18	relevant	relevant	ADJ
fcis-25930	148	19	information	information	NOUN
fcis-25930	148	20	correctly	correctly	ADV
fcis-25930	148	21	retrieved	retrieve	VERB
fcis-25930	148	22	and	and	CCONJ
fcis-25930	148	23	used	use	VERB
fcis-25930	148	24	in	in	ADP
fcis-25930	148	25	the	the	DET
fcis-25930	148	26	response	response	NOUN
fcis-25930	148	27	to	to	ADP
fcis-25930	148	28	the	the	DET
fcis-25930	148	29	total	total	ADJ
fcis-25930	148	30	amount	amount	NOUN
fcis-25930	148	31	of	of	ADP
fcis-25930	148	32	information	information	NOUN
fcis-25930	148	33	retrieved	retrieve	VERB
fcis-25930	148	34	.	.	PUNCT
fcis-25930	149	1	this	this	DET
fcis-25930	149	2	metric	metric	ADJ
fcis-25930	149	3	assesses	assess	VERB
fcis-25930	149	4	the	the	DET
fcis-25930	149	5	model	model	NOUN
fcis-25930	149	6	's	's	PART
fcis-25930	149	7	ability	ability	NOUN
fcis-25930	149	8	to	to	PART
fcis-25930	149	9	filter	filter	VERB
fcis-25930	149	10	out	out	ADP
fcis-25930	149	11	irrelevant	irrelevant	ADJ
fcis-25930	149	12	information	information	NOUN
fcis-25930	149	13	,	,	PUNCT
fcis-25930	149	14	ensuring	ensure	VERB
fcis-25930	149	15	that	that	SCONJ
fcis-25930	149	16	only	only	ADV
fcis-25930	149	17	the	the	DET
fcis-25930	149	18	most	most	ADV
fcis-25930	149	19	relevant	relevant	ADJ
fcis-25930	149	20	details	detail	NOUN
fcis-25930	149	21	are	be	AUX
fcis-25930	149	22	included	include	VERB
fcis-25930	149	23	in	in	ADP
fcis-25930	149	24	the	the	DET
fcis-25930	149	25	response	response	NOUN
fcis-25930	149	26	.	.	PUNCT
fcis-25930	150	1	precision	precision	NOUN
fcis-25930	150	2	is	be	AUX
fcis-25930	150	3	defined	define	VERB
fcis-25930	150	4	as	as	ADP
fcis-25930	150	5	:	:	PUNCT
fcis-25930	150	6	precision	precision	NOUN
fcis-25930	150	7	true	true	ADJ
fcis-25930	150	8	positives	positive	NOUN
fcis-25930	150	9	true	true	ADJ
fcis-25930	150	10	positives	positive	NOUN
fcis-25930	150	11	false	false	ADJ
fcis-25930	150	12	positives	positive	NOUN
fcis-25930	150	13	figure	figure	NOUN
fcis-25930	150	14	2	2	NUM
fcis-25930	150	15	.	.	NOUN
fcis-25930	150	16	generative	generative	ADJ
fcis-25930	150	17	semantic	semantic	ADJ
fcis-25930	150	18	integration	integration	NOUN
fcis-25930	150	19	framework	framework	NOUN
fcis-25930	150	20	illustrating	illustrate	VERB
fcis-25930	150	21	the	the	DET
fcis-25930	150	22	training	training	NOUN
fcis-25930	150	23	and	and	CCONJ
fcis-25930	150	24	inference	inference	NOUN
fcis-25930	150	25	phases	phase	NOUN
fcis-25930	150	26	for	for	ADP
fcis-25930	150	27	gsi	gsi	PROPN
fcis-25930	150	28	.	.	PUNCT
fcis-25930	151	1	these	these	DET
fcis-25930	151	2	metrics	metric	NOUN
fcis-25930	151	3	are	be	AUX
fcis-25930	151	4	crucial	crucial	ADJ
fcis-25930	151	5	for	for	ADP
fcis-25930	151	6	evaluating	evaluate	VERB
fcis-25930	151	7	the	the	DET
fcis-25930	151	8	performance	performance	NOUN
fcis-25930	151	9	of	of	ADP
fcis-25930	151	10	the	the	DET
fcis-25930	151	11	gsi	gsi	PROPN
fcis-25930	151	12	framework	framework	NOUN
fcis-25930	151	13	,	,	PUNCT
fcis-25930	151	14	as	as	SCONJ
fcis-25930	151	15	they	they	PRON
fcis-25930	151	16	provide	provide	VERB
fcis-25930	151	17	insight	insight	NOUN
fcis-25930	151	18	into	into	ADP
fcis-25930	151	19	both	both	CCONJ
fcis-25930	151	20	the	the	DET
fcis-25930	151	21	retrieval	retrieval	NOUN
fcis-25930	151	22	effectiveness	effectiveness	NOUN
fcis-25930	151	23	(	(	PUNCT
fcis-25930	151	24	recall	recall	NOUN
fcis-25930	151	25	and	and	CCONJ
fcis-25930	151	26	precision	precision	NOUN
fcis-25930	151	27	)	)	PUNCT
fcis-25930	151	28	and	and	CCONJ
fcis-25930	151	29	the	the	DET
fcis-25930	151	30	overall	overall	ADJ
fcis-25930	151	31	quality	quality	NOUN
fcis-25930	151	32	of	of	ADP
fcis-25930	151	33	the	the	DET
fcis-25930	151	34	generated	generate	VERB
fcis-25930	151	35	responses	response	NOUN
fcis-25930	151	36	(	(	PUNCT
fcis-25930	151	37	accuracy	accuracy	NOUN
fcis-25930	151	38	)	)	PUNCT
fcis-25930	151	39	.	.	PUNCT
fcis-25930	152	1	by	by	ADP
fcis-25930	152	2	employing	employ	VERB
fcis-25930	152	3	a	a	DET
fcis-25930	152	4	diverse	diverse	ADJ
fcis-25930	152	5	dataset	dataset	NOUN
fcis-25930	152	6	,	,	PUNCT
fcis-25930	152	7	multiple	multiple	ADJ
fcis-25930	152	8	baseline	baseline	NOUN
fcis-25930	152	9	models	model	NOUN
fcis-25930	152	10	,	,	PUNCT
fcis-25930	152	11	and	and	CCONJ
fcis-25930	152	12	robust	robust	ADJ
fcis-25930	152	13	evaluation	evaluation	NOUN
fcis-25930	152	14	metrics	metric	NOUN
fcis-25930	152	15	,	,	PUNCT
fcis-25930	152	16	we	we	PRON
fcis-25930	152	17	aim	aim	VERB
fcis-25930	152	18	to	to	PART
fcis-25930	152	19	thoroughly	thoroughly	ADV
fcis-25930	152	20	assess	assess	VERB
fcis-25930	152	21	the	the	DET
fcis-25930	152	22	gsi	gsi	PROPN
fcis-25930	152	23	framework	framework	NOUN
fcis-25930	152	24	's	's	PART
fcis-25930	152	25	ability	ability	NOUN
fcis-25930	152	26	to	to	PART
fcis-25930	152	27	enhance	enhance	VERB
fcis-25930	152	28	structured	structure	VERB
fcis-25930	152	29	query	query	NOUN
fcis-25930	152	30	processing	processing	NOUN
fcis-25930	152	31	and	and	CCONJ
fcis-25930	152	32	generate	generate	VERB
fcis-25930	152	33	responses	response	NOUN
fcis-25930	152	34	that	that	PRON
fcis-25930	152	35	align	align	VERB
fcis-25930	152	36	with	with	ADP
fcis-25930	152	37	user	user	NOUN
fcis-25930	152	38	intent	intent	NOUN
fcis-25930	152	39	and	and	CCONJ
fcis-25930	152	40	context	context	NOUN
fcis-25930	152	41	.	.	PUNCT
fcis-25930	153	1	the	the	DET
fcis-25930	153	2	results	result	NOUN
fcis-25930	153	3	of	of	ADP
fcis-25930	153	4	these	these	DET
fcis-25930	153	5	experiments	experiment	NOUN
fcis-25930	153	6	are	be	AUX
fcis-25930	153	7	discussed	discuss	VERB
fcis-25930	153	8	in	in	ADP
fcis-25930	153	9	the	the	DET
fcis-25930	153	10	following	follow	VERB
fcis-25930	153	11	sections	section	NOUN
fcis-25930	153	12	,	,	PUNCT
fcis-25930	153	13	where	where	SCONJ
fcis-25930	153	14	we	we	PRON
fcis-25930	153	15	analyze	analyze	VERB
fcis-25930	153	16	the	the	DET
fcis-25930	153	17	gsi	gsi	PROPN
fcis-25930	153	18	framework	framework	NOUN
fcis-25930	153	19	's	's	PART
fcis-25930	153	20	performance	performance	NOUN
fcis-25930	153	21	in	in	ADP
fcis-25930	153	22	detail	detail	NOUN
fcis-25930	153	23	.	.	PUNCT
fcis-25930	154	1	4.1	4.1	NUM
fcis-25930	154	2	.	.	PUNCT
fcis-25930	154	3	performance	performance	NOUN
fcis-25930	154	4	evaluation	evaluation	NOUN
fcis-25930	154	5	figure	figure	NOUN
fcis-25930	154	6	3	3	NUM
fcis-25930	154	7	.	.	PUNCT
fcis-25930	154	8	performance	performance	NOUN
fcis-25930	154	9	of	of	ADP
fcis-25930	154	10	models	model	NOUN
fcis-25930	154	11	trained	train	VERB
fcis-25930	154	12	and	and	CCONJ
fcis-25930	154	13	tested	test	VERB
fcis-25930	154	14	on	on	ADP
fcis-25930	154	15	the	the	DET
fcis-25930	154	16	same	same	ADJ
fcis-25930	154	17	dataset	dataset	NOUN
fcis-25930	154	18	.	.	PUNCT
fcis-25930	155	1	the	the	DET
fcis-25930	155	2	f1	f1	PROPN
fcis-25930	155	3	score	score	NOUN
fcis-25930	155	4	metric	metric	NOUN
fcis-25930	155	5	offers	offer	VERB
fcis-25930	155	6	a	a	DET
fcis-25930	155	7	holistic	holistic	ADJ
fcis-25930	155	8	view	view	NOUN
fcis-25930	155	9	of	of	ADP
fcis-25930	155	10	the	the	DET
fcis-25930	155	11	model	model	NOUN
fcis-25930	155	12	's	's	PART
fcis-25930	155	13	performance	performance	NOUN
fcis-25930	155	14	by	by	ADP
fcis-25930	155	15	balancing	balance	VERB
fcis-25930	155	16	the	the	DET
fcis-25930	155	17	trade	trade	NOUN
fcis-25930	155	18	-	-	PUNCT
fcis-25930	155	19	offs	off	NOUN
fcis-25930	155	20	between	between	ADP
fcis-25930	155	21	precision	precision	NOUN
fcis-25930	155	22	and	and	CCONJ
fcis-25930	155	23	recall	recall	NOUN
fcis-25930	155	24	.	.	PUNCT
fcis-25930	156	1	figure	figure	NOUN
fcis-25930	156	2	5	5	NUM
fcis-25930	156	3	illustrates	illustrate	VERB
fcis-25930	156	4	the	the	DET
fcis-25930	156	5	f1	f1	PROPN
fcis-25930	156	6	scores	score	NOUN
fcis-25930	156	7	for	for	ADP
fcis-25930	156	8	the	the	DET
fcis-25930	156	9	gsi	gsi	PROPN
fcis-25930	156	10	framework	framework	NOUN
fcis-25930	156	11	and	and	CCONJ
fcis-25930	156	12	the	the	DET
fcis-25930	156	13	two	two	NUM
fcis-25930	156	14	baseline	baseline	NOUN
fcis-25930	156	15	models	model	NOUN
fcis-25930	156	16	(	(	PUNCT
fcis-25930	156	17	qwen1.5	qwen1.5	NOUN
fcis-25930	156	18	-	-	PUNCT
fcis-25930	156	19	0.5b	0.5b	NOUN
fcis-25930	156	20	and	and	CCONJ
fcis-25930	156	21	qwen1.8b	qwen1.8b	NOUN
fcis-25930	156	22	)	)	PUNCT
fcis-25930	156	23	across	across	ADP
fcis-25930	156	24	the	the	DET
fcis-25930	156	25	three	three	NUM
fcis-25930	156	26	document	document	NOUN
fcis-25930	156	27	complexity	complexity	NOUN
fcis-25930	156	28	classes	class	NOUN
fcis-25930	156	29	.	.	PUNCT
fcis-25930	157	1			NOUN
fcis-25930	157	2	class	class	NOUN
fcis-25930	157	3	1	1	NUM
fcis-25930	157	4	:	:	PUNCT
fcis-25930	157	5	the	the	DET
fcis-25930	157	6	gsi	gsi	PROPN
fcis-25930	157	7	framework	framework	NOUN
fcis-25930	157	8	achieves	achieve	VERB
fcis-25930	157	9	an	an	DET
fcis-25930	157	10	f1	f1	ADJ
fcis-25930	157	11	score	score	NOUN
fcis-25930	157	12	of	of	ADP
fcis-25930	157	13	88	88	NUM
fcis-25930	157	14	%	%	NOUN
fcis-25930	157	15	,	,	PUNCT
fcis-25930	157	16	significantly	significantly	ADV
fcis-25930	157	17	outperforming	outperform	VERB
fcis-25930	157	18	qwen1.5	qwen1.5	NOUN
fcis-25930	157	19	-	-	NOUN
fcis-25930	157	20	0.5b	0.5b	NOUN
fcis-25930	157	21	with	with	ADP
fcis-25930	157	22	an	an	DET
fcis-25930	157	23	f1	f1	ADJ
fcis-25930	157	24	score	score	NOUN
fcis-25930	157	25	of	of	ADP
fcis-25930	157	26	67	67	NUM
fcis-25930	157	27	%	%	NOUN
fcis-25930	157	28	and	and	CCONJ
fcis-25930	157	29	qwen1.8b	qwen1.8b	NOUN
fcis-25930	157	30	with	with	ADP
fcis-25930	157	31	an	an	DET
fcis-25930	157	32	f1	f1	ADJ
fcis-25930	157	33	score	score	NOUN
fcis-25930	157	34	of	of	ADP
fcis-25930	157	35	80	80	NUM
fcis-25930	157	36	%	%	NOUN
fcis-25930	157	37	.	.	PUNCT
fcis-25930	158	1			PRON
fcis-25930	158	2	class	class	NOUN
fcis-25930	158	3	2	2	NUM
fcis-25930	158	4	:	:	PUNCT
fcis-25930	158	5	the	the	DET
fcis-25930	158	6	gsi	gsi	PROPN
fcis-25930	158	7	framework	framework	NOUN
fcis-25930	158	8	maintains	maintain	VERB
fcis-25930	158	9	its	its	PRON
fcis-25930	158	10	lead	lead	NOUN
fcis-25930	158	11	with	with	ADP
fcis-25930	158	12	an	an	DET
fcis-25930	158	13	f1	f1	ADJ
fcis-25930	158	14	score	score	NOUN
fcis-25930	158	15	of	of	ADP
fcis-25930	158	16	86	86	NUM
fcis-25930	158	17	%	%	NOUN
fcis-25930	158	18	,	,	PUNCT
fcis-25930	158	19	while	while	SCONJ
fcis-25930	158	20	qwen1.5	qwen1.5	NOUN
fcis-25930	158	21	-	-	PUNCT
fcis-25930	158	22	0.5b	0.5b	NOUN
fcis-25930	158	23	and	and	CCONJ
fcis-25930	158	24	qwen1.8b	qwen1.8b	NOUN
fcis-25930	158	25	achieve	achieve	VERB
fcis-25930	158	26	f1	f1	NOUN
fcis-25930	158	27	scores	score	NOUN
fcis-25930	158	28	of	of	ADP
fcis-25930	158	29	62	62	NUM
fcis-25930	158	30	%	%	NOUN
fcis-25930	158	31	and	and	CCONJ
fcis-25930	158	32	77	77	NUM
fcis-25930	158	33	%	%	NOUN
fcis-25930	158	34	,	,	PUNCT
fcis-25930	158	35	respectively	respectively	ADV
fcis-25930	158	36	.	.	PUNCT
fcis-25930	159	1			PROPN
fcis-25930	159	2	class	class	NOUN
fcis-25930	159	3	3	3	NUM
fcis-25930	159	4	:	:	PUNCT
fcis-25930	159	5	the	the	DET
fcis-25930	159	6	gsi	gsi	PROPN
fcis-25930	159	7	framework	framework	NOUN
fcis-25930	159	8	continues	continue	VERB
fcis-25930	159	9	to	to	PART
fcis-25930	159	10	demonstrate	demonstrate	VERB
fcis-25930	159	11	superior	superior	ADJ
fcis-25930	159	12	performance	performance	NOUN
fcis-25930	159	13	with	with	ADP
fcis-25930	159	14	an	an	DET
fcis-25930	159	15	f1	f1	ADJ
fcis-25930	159	16	score	score	NOUN
fcis-25930	159	17	of	of	ADP
fcis-25930	159	18	83	83	NUM
fcis-25930	159	19	%	%	NOUN
fcis-25930	159	20	,	,	PUNCT
fcis-25930	159	21	compared	compare	VERB
fcis-25930	159	22	to	to	ADP
fcis-25930	159	23	58	58	NUM
fcis-25930	159	24	%	%	NOUN
fcis-25930	159	25	for	for	ADP
fcis-25930	159	26	qwen1.5	qwen1.5	NOUN
fcis-25930	159	27	-	-	NOUN
fcis-25930	159	28	0.5b	0.5b	NOUN
fcis-25930	159	29	and	and	CCONJ
fcis-25930	159	30	72	72	NUM
fcis-25930	159	31	%	%	NOUN
fcis-25930	159	32	for	for	ADP
fcis-25930	159	33	qwen1.8b	qwen1.8b	NOUN
fcis-25930	159	34	.	.	PUNCT
fcis-25930	160	1	the	the	DET
fcis-25930	160	2	performance	performance	NOUN
fcis-25930	160	3	evaluation	evaluation	NOUN
fcis-25930	160	4	results	result	NOUN
fcis-25930	160	5	,	,	PUNCT
fcis-25930	160	6	as	as	SCONJ
fcis-25930	160	7	depicted	depict	VERB
fcis-25930	160	8	in	in	ADP
fcis-25930	160	9	figure	figure	NOUN
fcis-25930	160	10	5	5	NUM
fcis-25930	160	11	,	,	PUNCT
fcis-25930	160	12	clearly	clearly	ADV
fcis-25930	160	13	demonstrate	demonstrate	VERB
fcis-25930	160	14	the	the	DET
fcis-25930	160	15	superior	superior	ADJ
fcis-25930	160	16	performance	performance	NOUN
fcis-25930	160	17	of	of	ADP
fcis-25930	160	18	the	the	DET
fcis-25930	160	19	gsi	gsi	PROPN
fcis-25930	160	20	framework	framework	NOUN
fcis-25930	160	21	across	across	ADP
fcis-25930	160	22	all	all	DET
fcis-25930	160	23	document	document	NOUN
fcis-25930	160	24	complexity	complexity	NOUN
fcis-25930	160	25	classes	class	NOUN
fcis-25930	160	26	.	.	PUNCT
fcis-25930	161	1	the	the	DET
fcis-25930	161	2	gsi	gsi	PROPN
fcis-25930	161	3	70	70	NUM
fcis-25930	161	4	framework	framework	NOUN
fcis-25930	161	5	consistently	consistently	ADV
fcis-25930	161	6	achieves	achieve	VERB
fcis-25930	161	7	higher	high	ADJ
fcis-25930	161	8	f1	f1	NOUN
fcis-25930	161	9	scores	score	NOUN
fcis-25930	161	10	compared	compare	VERB
fcis-25930	161	11	to	to	ADP
fcis-25930	161	12	the	the	DET
fcis-25930	161	13	baseline	baseline	NOUN
fcis-25930	161	14	models	model	NOUN
fcis-25930	161	15	,	,	PUNCT
fcis-25930	161	16	indicating	indicate	VERB
fcis-25930	161	17	its	its	PRON
fcis-25930	161	18	effectiveness	effectiveness	NOUN
fcis-25930	161	19	in	in	ADP
fcis-25930	161	20	integrating	integrate	VERB
fcis-25930	161	21	structured	structure	VERB
fcis-25930	161	22	document	document	NOUN
fcis-25930	161	23	information	information	NOUN
fcis-25930	161	24	to	to	PART
fcis-25930	161	25	generate	generate	VERB
fcis-25930	161	26	accurate	accurate	ADJ
fcis-25930	161	27	,	,	PUNCT
fcis-25930	161	28	comprehensive	comprehensive	ADJ
fcis-25930	161	29	,	,	PUNCT
fcis-25930	161	30	and	and	CCONJ
fcis-25930	161	31	contextually	contextually	ADV
fcis-25930	161	32	relevant	relevant	ADJ
fcis-25930	161	33	responses	response	NOUN
fcis-25930	161	34	.	.	PUNCT
fcis-25930	162	1	these	these	DET
fcis-25930	162	2	results	result	NOUN
fcis-25930	162	3	validate	validate	VERB
fcis-25930	162	4	the	the	DET
fcis-25930	162	5	gsi	gsi	PROPN
fcis-25930	162	6	framework	framework	NOUN
fcis-25930	162	7	's	's	PART
fcis-25930	162	8	ability	ability	NOUN
fcis-25930	162	9	to	to	PART
fcis-25930	162	10	enhance	enhance	VERB
fcis-25930	162	11	structured	structured	ADJ
fcis-25930	162	12	query	query	NOUN
fcis-25930	162	13	processing	processing	NOUN
fcis-25930	162	14	and	and	CCONJ
fcis-25930	162	15	align	align	NOUN
fcis-25930	162	16	generated	generate	VERB
fcis-25930	162	17	responses	response	NOUN
fcis-25930	162	18	with	with	ADP
fcis-25930	162	19	user	user	NOUN
fcis-25930	162	20	intent	intent	NOUN
fcis-25930	162	21	and	and	CCONJ
fcis-25930	162	22	context	context	NOUN
fcis-25930	162	23	,	,	PUNCT
fcis-25930	162	24	making	make	VERB
fcis-25930	162	25	it	it	PRON
fcis-25930	162	26	a	a	DET
fcis-25930	162	27	robust	robust	ADJ
fcis-25930	162	28	solution	solution	NOUN
fcis-25930	162	29	for	for	ADP
fcis-25930	162	30	applications	application	NOUN
fcis-25930	162	31	requiring	require	VERB
fcis-25930	162	32	precise	precise	ADJ
fcis-25930	162	33	and	and	CCONJ
fcis-25930	162	34	context	context	NOUN
fcis-25930	162	35	-	-	PUNCT
fcis-25930	162	36	aware	aware	ADJ
fcis-25930	162	37	document	document	NOUN
fcis-25930	162	38	parsing	parsing	NOUN
fcis-25930	162	39	and	and	CCONJ
fcis-25930	162	40	response	response	NOUN
fcis-25930	162	41	generation	generation	NOUN
fcis-25930	162	42	.	.	PUNCT
fcis-25930	163	1	by	by	ADP
fcis-25930	163	2	focusing	focus	VERB
fcis-25930	163	3	on	on	ADP
fcis-25930	163	4	the	the	DET
fcis-25930	163	5	f1	f1	NOUN
fcis-25930	163	6	score	score	NOUN
fcis-25930	163	7	,	,	PUNCT
fcis-25930	163	8	we	we	PRON
fcis-25930	163	9	provide	provide	VERB
fcis-25930	163	10	a	a	DET
fcis-25930	163	11	comprehensive	comprehensive	ADJ
fcis-25930	163	12	and	and	CCONJ
fcis-25930	163	13	balanced	balanced	ADJ
fcis-25930	163	14	assessment	assessment	NOUN
fcis-25930	163	15	of	of	ADP
fcis-25930	163	16	the	the	DET
fcis-25930	163	17	gsi	gsi	PROPN
fcis-25930	163	18	framework	framework	NOUN
fcis-25930	163	19	's	's	PART
fcis-25930	163	20	performance	performance	NOUN
fcis-25930	163	21	,	,	PUNCT
fcis-25930	163	22	highlighting	highlight	VERB
fcis-25930	163	23	its	its	PRON
fcis-25930	163	24	strengths	strength	NOUN
fcis-25930	163	25	in	in	ADP
fcis-25930	163	26	handling	handle	VERB
fcis-25930	163	27	diverse	diverse	ADJ
fcis-25930	163	28	document	document	NOUN
fcis-25930	163	29	complexities	complexity	NOUN
fcis-25930	163	30	and	and	CCONJ
fcis-25930	163	31	generating	generate	VERB
fcis-25930	163	32	high	high	ADJ
fcis-25930	163	33	-	-	PUNCT
fcis-25930	163	34	quality	quality	NOUN
fcis-25930	163	35	responses	response	NOUN
fcis-25930	163	36	.	.	PUNCT
fcis-25930	164	1	5	5	X
fcis-25930	164	2	.	.	X
fcis-25930	164	3	conclusion	conclusion	NOUN
fcis-25930	164	4	5.1	5.1	NUM
fcis-25930	164	5	.	.	PUNCT
fcis-25930	165	1	summary	summary	NOUN
fcis-25930	165	2	of	of	ADP
fcis-25930	165	3	contributions	contribution	NOUN
fcis-25930	165	4	in	in	ADP
fcis-25930	165	5	this	this	DET
fcis-25930	165	6	work	work	NOUN
fcis-25930	165	7	,	,	PUNCT
fcis-25930	165	8	we	we	PRON
fcis-25930	165	9	introduced	introduce	VERB
fcis-25930	165	10	the	the	DET
fcis-25930	165	11	generative	generative	ADJ
fcis-25930	165	12	semantic	semantic	ADJ
fcis-25930	165	13	integration	integration	NOUN
fcis-25930	165	14	(	(	PUNCT
fcis-25930	165	15	gsi	gsi	PROPN
fcis-25930	165	16	)	)	PUNCT
fcis-25930	165	17	framework	framework	NOUN
fcis-25930	165	18	,	,	PUNCT
fcis-25930	165	19	a	a	DET
fcis-25930	165	20	novel	novel	ADJ
fcis-25930	165	21	approach	approach	NOUN
fcis-25930	165	22	for	for	ADP
fcis-25930	165	23	handling	handle	VERB
fcis-25930	165	24	structured	structure	VERB
fcis-25930	165	25	query	query	NOUN
fcis-25930	165	26	processing	processing	NOUN
fcis-25930	165	27	and	and	CCONJ
fcis-25930	165	28	response	response	NOUN
fcis-25930	165	29	generation	generation	NOUN
fcis-25930	165	30	from	from	ADP
fcis-25930	165	31	complex	complex	ADJ
fcis-25930	165	32	document	document	NOUN
fcis-25930	165	33	corpora	corpora	NOUN
fcis-25930	165	34	.	.	PUNCT
fcis-25930	166	1	our	our	PRON
fcis-25930	166	2	main	main	ADJ
fcis-25930	166	3	contributions	contribution	NOUN
fcis-25930	166	4	include	include	VERB
fcis-25930	166	5	the	the	DET
fcis-25930	166	6	development	development	NOUN
fcis-25930	166	7	of	of	ADP
fcis-25930	166	8	the	the	DET
fcis-25930	166	9	gsi	gsi	PROPN
fcis-25930	166	10	framework	framework	NOUN
fcis-25930	166	11	,	,	PUNCT
fcis-25930	166	12	which	which	PRON
fcis-25930	166	13	effectively	effectively	ADV
fcis-25930	166	14	integrates	integrate	VERB
fcis-25930	166	15	structured	structured	ADJ
fcis-25930	166	16	document	document	NOUN
fcis-25930	166	17	data	datum	NOUN
fcis-25930	166	18	to	to	PART
fcis-25930	166	19	generate	generate	VERB
fcis-25930	166	20	accurate	accurate	ADJ
fcis-25930	166	21	and	and	CCONJ
fcis-25930	166	22	contextually	contextually	ADV
fcis-25930	166	23	relevant	relevant	ADJ
fcis-25930	166	24	responses	response	NOUN
fcis-25930	166	25	,	,	PUNCT
fcis-25930	166	26	outperforming	outperform	VERB
fcis-25930	166	27	existing	exist	VERB
fcis-25930	166	28	models	model	NOUN
fcis-25930	166	29	.	.	PUNCT
fcis-25930	167	1	we	we	PRON
fcis-25930	167	2	demonstrated	demonstrate	VERB
fcis-25930	167	3	its	its	PRON
fcis-25930	167	4	superiority	superiority	NOUN
fcis-25930	167	5	through	through	ADP
fcis-25930	167	6	extensive	extensive	ADJ
fcis-25930	167	7	performance	performance	NOUN
fcis-25930	167	8	evaluations	evaluation	NOUN
fcis-25930	167	9	,	,	PUNCT
fcis-25930	167	10	showing	show	VERB
fcis-25930	167	11	consistent	consistent	ADJ
fcis-25930	167	12	improvements	improvement	NOUN
fcis-25930	167	13	in	in	ADP
fcis-25930	167	14	accuracy	accuracy	NOUN
fcis-25930	167	15	,	,	PUNCT
fcis-25930	167	16	recall	recall	NOUN
fcis-25930	167	17	,	,	PUNCT
fcis-25930	167	18	precision	precision	NOUN
fcis-25930	167	19	,	,	PUNCT
fcis-25930	167	20	and	and	CCONJ
fcis-25930	167	21	f1	f1	NOUN
fcis-25930	167	22	score	score	NOUN
fcis-25930	167	23	across	across	ADP
fcis-25930	167	24	various	various	ADJ
fcis-25930	167	25	levels	level	NOUN
fcis-25930	167	26	of	of	ADP
fcis-25930	167	27	document	document	NOUN
fcis-25930	167	28	complexity	complexity	NOUN
fcis-25930	167	29	.	.	PUNCT
fcis-25930	168	1	furthermore	furthermore	ADV
fcis-25930	168	2	,	,	PUNCT
fcis-25930	168	3	the	the	DET
fcis-25930	168	4	gsi	gsi	PROPN
fcis-25930	168	5	framework	framework	NOUN
fcis-25930	168	6	exhibits	exhibit	VERB
fcis-25930	168	7	remarkable	remarkable	ADJ
fcis-25930	168	8	scalability	scalability	NOUN
fcis-25930	168	9	and	and	CCONJ
fcis-25930	168	10	robustness	robustness	NOUN
fcis-25930	168	11	in	in	ADP
fcis-25930	168	12	managing	manage	VERB
fcis-25930	168	13	diverse	diverse	ADJ
fcis-25930	168	14	document	document	NOUN
fcis-25930	168	15	structures	structure	NOUN
fcis-25930	168	16	,	,	PUNCT
fcis-25930	168	17	maintaining	maintain	VERB
fcis-25930	168	18	strong	strong	ADJ
fcis-25930	168	19	performance	performance	NOUN
fcis-25930	168	20	even	even	ADV
fcis-25930	168	21	as	as	ADP
fcis-25930	168	22	complexity	complexity	NOUN
fcis-25930	168	23	increases	increase	NOUN
fcis-25930	168	24	.	.	PUNCT
fcis-25930	169	1	this	this	DET
fcis-25930	169	2	innovative	innovative	ADJ
fcis-25930	169	3	approach	approach	NOUN
fcis-25930	169	4	,	,	PUNCT
fcis-25930	169	5	which	which	PRON
fcis-25930	169	6	integrates	integrate	VERB
fcis-25930	169	7	semantic	semantic	ADJ
fcis-25930	169	8	understanding	understanding	NOUN
fcis-25930	169	9	with	with	ADP
fcis-25930	169	10	generative	generative	ADJ
fcis-25930	169	11	capabilities	capability	NOUN
fcis-25930	169	12	,	,	PUNCT
fcis-25930	169	13	addresses	address	NOUN
fcis-25930	169	14	critical	critical	ADJ
fcis-25930	169	15	challenges	challenge	NOUN
fcis-25930	169	16	in	in	ADP
fcis-25930	169	17	aligning	align	VERB
fcis-25930	169	18	user	user	NOUN
fcis-25930	169	19	intent	intent	NOUN
fcis-25930	169	20	with	with	ADP
fcis-25930	169	21	structured	structured	ADJ
fcis-25930	169	22	document	document	NOUN
fcis-25930	169	23	data	datum	NOUN
fcis-25930	169	24	,	,	PUNCT
fcis-25930	169	25	marking	mark	VERB
fcis-25930	169	26	a	a	DET
fcis-25930	169	27	significant	significant	ADJ
fcis-25930	169	28	advancement	advancement	NOUN
fcis-25930	169	29	in	in	ADP
fcis-25930	169	30	natural	natural	ADJ
fcis-25930	169	31	language	language	NOUN
fcis-25930	169	32	processing	processing	NOUN
fcis-25930	169	33	and	and	CCONJ
fcis-25930	169	34	document	document	NOUN
fcis-25930	169	35	parsing	parsing	NOUN
fcis-25930	169	36	.	.	PUNCT
fcis-25930	170	1	5.2	5.2	NUM
fcis-25930	170	2	.	.	PUNCT
fcis-25930	171	1	future	future	ADJ
fcis-25930	171	2	work	work	NOUN
fcis-25930	171	3	while	while	SCONJ
fcis-25930	171	4	the	the	DET
fcis-25930	171	5	gsi	gsi	PROPN
fcis-25930	171	6	framework	framework	NOUN
fcis-25930	171	7	has	have	AUX
fcis-25930	171	8	shown	show	VERB
fcis-25930	171	9	considerable	considerable	ADJ
fcis-25930	171	10	promise	promise	NOUN
fcis-25930	171	11	,	,	PUNCT
fcis-25930	171	12	several	several	ADJ
fcis-25930	171	13	future	future	ADJ
fcis-25930	171	14	directions	direction	NOUN
fcis-25930	171	15	can	can	AUX
fcis-25930	171	16	further	far	ADV
fcis-25930	171	17	enhance	enhance	VERB
fcis-25930	171	18	its	its	PRON
fcis-25930	171	19	capabilities	capability	NOUN
fcis-25930	171	20	.	.	PUNCT
fcis-25930	172	1	one	one	NUM
fcis-25930	172	2	key	key	ADJ
fcis-25930	172	3	area	area	NOUN
fcis-25930	172	4	is	be	AUX
fcis-25930	172	5	enabling	enable	VERB
fcis-25930	172	6	real	real	ADJ
fcis-25930	172	7	-	-	PUNCT
fcis-25930	172	8	time	time	NOUN
fcis-25930	172	9	response	response	NOUN
fcis-25930	172	10	generation	generation	NOUN
fcis-25930	172	11	,	,	PUNCT
fcis-25930	172	12	making	make	VERB
fcis-25930	172	13	the	the	DET
fcis-25930	172	14	framework	framework	NOUN
fcis-25930	172	15	more	more	ADV
fcis-25930	172	16	suitable	suitable	ADJ
fcis-25930	172	17	for	for	ADP
fcis-25930	172	18	dynamic	dynamic	ADJ
fcis-25930	172	19	,	,	PUNCT
fcis-25930	172	20	timesensitive	timesensitive	ADJ
fcis-25930	172	21	applications	application	NOUN
fcis-25930	172	22	like	like	ADP
fcis-25930	172	23	customer	customer	NOUN
fcis-25930	172	24	service	service	NOUN
fcis-25930	172	25	.	.	PUNCT
fcis-25930	173	1	expanding	expand	VERB
fcis-25930	173	2	multi	multi	ADJ
fcis-25930	173	3	-	-	ADJ
fcis-25930	173	4	lingual	lingual	ADJ
fcis-25930	173	5	support	support	NOUN
fcis-25930	173	6	would	would	AUX
fcis-25930	173	7	also	also	ADV
fcis-25930	173	8	broaden	broaden	VERB
fcis-25930	173	9	its	its	PRON
fcis-25930	173	10	scope	scope	NOUN
fcis-25930	173	11	,	,	PUNCT
fcis-25930	173	12	allowing	allow	VERB
fcis-25930	173	13	the	the	DET
fcis-25930	173	14	gsi	gsi	PROPN
fcis-25930	173	15	framework	framework	NOUN
fcis-25930	173	16	to	to	PART
fcis-25930	173	17	process	process	VERB
fcis-25930	173	18	structured	structured	ADJ
fcis-25930	173	19	data	datum	NOUN
fcis-25930	173	20	across	across	ADP
fcis-25930	173	21	different	different	ADJ
fcis-25930	173	22	languages	language	NOUN
fcis-25930	173	23	and	and	CCONJ
fcis-25930	173	24	cultural	cultural	ADJ
fcis-25930	173	25	contexts	contexts	NOUN
fcis-25930	173	26	.	.	PUNCT
fcis-25930	174	1	additionally	additionally	ADV
fcis-25930	174	2	,	,	PUNCT
fcis-25930	174	3	domain	domain	NOUN
fcis-25930	174	4	-	-	PUNCT
fcis-25930	174	5	specific	specific	ADJ
fcis-25930	174	6	customization	customization	NOUN
fcis-25930	174	7	could	could	AUX
fcis-25930	174	8	improve	improve	VERB
fcis-25930	174	9	accuracy	accuracy	NOUN
fcis-25930	174	10	in	in	ADP
fcis-25930	174	11	specialized	specialized	ADJ
fcis-25930	174	12	fields	field	NOUN
fcis-25930	174	13	such	such	ADJ
fcis-25930	174	14	as	as	ADP
fcis-25930	174	15	legal	legal	ADJ
fcis-25930	174	16	,	,	PUNCT
fcis-25930	174	17	medical	medical	ADJ
fcis-25930	174	18	,	,	PUNCT
fcis-25930	174	19	and	and	CCONJ
fcis-25930	174	20	financial	financial	ADJ
fcis-25930	174	21	industries	industry	NOUN
fcis-25930	174	22	by	by	ADP
fcis-25930	174	23	incorporating	incorporate	VERB
fcis-25930	174	24	relevant	relevant	ADJ
fcis-25930	174	25	ontologies	ontology	NOUN
fcis-25930	174	26	and	and	CCONJ
fcis-25930	174	27	datasets	dataset	NOUN
fcis-25930	174	28	.	.	PUNCT
fcis-25930	175	1	another	another	DET
fcis-25930	175	2	potential	potential	ADJ
fcis-25930	175	3	development	development	NOUN
fcis-25930	175	4	is	be	AUX
fcis-25930	175	5	integrating	integrate	VERB
fcis-25930	175	6	unstructured	unstructured	ADJ
fcis-25930	175	7	data	datum	NOUN
fcis-25930	175	8	sources	source	NOUN
fcis-25930	175	9	such	such	ADJ
fcis-25930	175	10	as	as	ADP
fcis-25930	175	11	emails	email	NOUN
fcis-25930	175	12	and	and	CCONJ
fcis-25930	175	13	social	social	ADJ
fcis-25930	175	14	media	medium	NOUN
fcis-25930	175	15	to	to	PART
fcis-25930	175	16	offer	offer	VERB
fcis-25930	175	17	more	more	ADV
fcis-25930	175	18	comprehensive	comprehensive	ADJ
fcis-25930	175	19	responses	response	NOUN
fcis-25930	175	20	.	.	PUNCT
fcis-25930	176	1	incorporating	incorporate	VERB
fcis-25930	176	2	adaptive	adaptive	ADJ
fcis-25930	176	3	learning	learning	NOUN
fcis-25930	176	4	based	base	VERB
fcis-25930	176	5	on	on	ADP
fcis-25930	176	6	user	user	NOUN
fcis-25930	176	7	feedback	feedback	NOUN
fcis-25930	176	8	would	would	AUX
fcis-25930	176	9	further	far	ADV
fcis-25930	176	10	improve	improve	VERB
fcis-25930	176	11	the	the	DET
fcis-25930	176	12	system	system	NOUN
fcis-25930	176	13	’s	’s	PART
fcis-25930	176	14	accuracy	accuracy	NOUN
fcis-25930	176	15	over	over	ADP
fcis-25930	176	16	time	time	NOUN
fcis-25930	176	17	,	,	PUNCT
fcis-25930	176	18	enhancing	enhance	VERB
fcis-25930	176	19	personalization	personalization	NOUN
fcis-25930	176	20	.	.	PUNCT
fcis-25930	177	1	finally	finally	ADV
fcis-25930	177	2	,	,	PUNCT
fcis-25930	177	3	enhancing	enhance	VERB
fcis-25930	177	4	the	the	DET
fcis-25930	177	5	explainability	explainability	NOUN
fcis-25930	177	6	and	and	CCONJ
fcis-25930	177	7	transparency	transparency	NOUN
fcis-25930	177	8	of	of	ADP
fcis-25930	177	9	the	the	DET
fcis-25930	177	10	framework	framework	NOUN
fcis-25930	177	11	's	's	PART
fcis-25930	177	12	decision	decision	NOUN
fcis-25930	177	13	-	-	PUNCT
fcis-25930	177	14	making	make	VERB
fcis-25930	177	15	process	process	NOUN
fcis-25930	177	16	could	could	AUX
fcis-25930	177	17	foster	foster	VERB
fcis-25930	177	18	greater	great	ADJ
fcis-25930	177	19	trust	trust	NOUN
fcis-25930	177	20	,	,	PUNCT
fcis-25930	177	21	particularly	particularly	ADV
fcis-25930	177	22	in	in	ADP
fcis-25930	177	23	sensitive	sensitive	ADJ
fcis-25930	177	24	applications	application	NOUN
fcis-25930	177	25	like	like	ADP
fcis-25930	177	26	healthcare	healthcare	NOUN
fcis-25930	177	27	and	and	CCONJ
fcis-25930	177	28	legal	legal	ADJ
fcis-25930	177	29	services	service	NOUN
fcis-25930	177	30	.	.	PUNCT
fcis-25930	178	1	these	these	DET
fcis-25930	178	2	future	future	ADJ
fcis-25930	178	3	directions	direction	NOUN
fcis-25930	178	4	present	present	VERB
fcis-25930	178	5	valuable	valuable	ADJ
fcis-25930	178	6	opportunities	opportunity	NOUN
fcis-25930	178	7	to	to	PART
fcis-25930	178	8	refine	refine	VERB
fcis-25930	178	9	and	and	CCONJ
fcis-25930	178	10	expand	expand	VERB
fcis-25930	178	11	the	the	DET
fcis-25930	178	12	gsi	gsi	PROPN
fcis-25930	178	13	framework	framework	NOUN
fcis-25930	178	14	's	's	PART
fcis-25930	178	15	impact	impact	NOUN
fcis-25930	178	16	.	.	PUNCT
fcis-25930	179	1	references	reference	NOUN
fcis-25930	179	2	[	[	X
fcis-25930	179	3	1	1	X
fcis-25930	179	4	]	]	PUNCT
fcis-25930	179	5	t.	t.	PROPN
fcis-25930	179	6	hwang	hwang	PROPN
fcis-25930	179	7	,	,	PUNCT
fcis-25930	179	8	s.	s.	PROPN
fcis-25930	179	9	jeong	jeong	PROPN
fcis-25930	179	10	,	,	PUNCT
fcis-25930	179	11	s.	s.	PROPN
fcis-25930	179	12	cho	cho	PROPN
fcis-25930	179	13	,	,	PUNCT
fcis-25930	179	14	s.	s.	PROPN
fcis-25930	179	15	han	han	PROPN
fcis-25930	179	16	,	,	PUNCT
fcis-25930	179	17	and	and	CCONJ
fcis-25930	179	18	j.	j.	PROPN
fcis-25930	179	19	c.	c.	PROPN
fcis-25930	179	20	park	park	PROPN
fcis-25930	179	21	,	,	PUNCT
fcis-25930	179	22	"	"	PUNCT
fcis-25930	179	23	dslr	dslr	ADJ
fcis-25930	179	24	:	:	PUNCT
fcis-25930	179	25	document	document	NOUN
fcis-25930	179	26	refinement	refinement	NOUN
fcis-25930	179	27	with	with	ADP
fcis-25930	179	28	sentence	sentence	NOUN
fcis-25930	179	29	-	-	PUNCT
fcis-25930	179	30	level	level	NOUN
fcis-25930	179	31	re	re	NOUN
fcis-25930	179	32	-	-	ADJ
fcis-25930	179	33	ranking	ranking	ADJ
fcis-25930	179	34	and	and	CCONJ
fcis-25930	179	35	reconstruction	reconstruction	NOUN
fcis-25930	179	36	to	to	PART
fcis-25930	179	37	enhance	enhance	VERB
fcis-25930	179	38	retrieval	retrieval	NOUN
fcis-25930	179	39	-	-	PUNCT
fcis-25930	179	40	augmented	augment	VERB
fcis-25930	179	41	generation	generation	NOUN
fcis-25930	179	42	,	,	PUNCT
fcis-25930	179	43	"	"	PUNCT
fcis-25930	179	44	cornell	cornell	PROPN
fcis-25930	179	45	university	university	NOUN
fcis-25930	179	46	,	,	PUNCT
fcis-25930	179	47	4	4	NUM
fcis-25930	179	48	jul	jul	PROPN
fcis-25930	179	49	.	.	PROPN
fcis-25930	179	50	2024	2024	NUM
fcis-25930	179	51	,	,	PUNCT
fcis-25930	179	52	https://doi.org/10	https://doi.org/10	PROPN
fcis-25930	179	53	.	.	PUNCT
fcis-25930	180	1	48550/	48550/	NUM
fcis-25930	180	2	arxiv.2407	arxiv.2407	NOUN
fcis-25930	180	3	..	..	PUNCT
fcis-25930	181	1	[	[	X
fcis-25930	181	2	2	2	X
fcis-25930	181	3	]	]	PUNCT
fcis-25930	181	4	k.	k.	PROPN
fcis-25930	181	5	roy	roy	PROPN
fcis-25930	181	6	et	et	PROPN
fcis-25930	181	7	al	al	PROPN
fcis-25930	181	8	.	.	PROPN
fcis-25930	181	9	,	,	PUNCT
fcis-25930	181	10	"	"	PUNCT
fcis-25930	181	11	qa	qa	NOUN
fcis-25930	181	12	-	-	PUNCT
fcis-25930	181	13	rag	rag	NOUN
fcis-25930	181	14	:	:	PUNCT
fcis-25930	181	15	leveraging	leverage	VERB
fcis-25930	181	16	question	question	NOUN
fcis-25930	181	17	and	and	CCONJ
fcis-25930	181	18	answerbased	answerbase	VERB
fcis-25930	181	19	retrieved	retrieve	VERB
fcis-25930	181	20	chunk	chunk	NOUN
fcis-25930	181	21	re	re	VERB
fcis-25930	181	22	-	-	VERB
fcis-25930	181	23	formatting	format	VERB
fcis-25930	181	24	for	for	ADP
fcis-25930	181	25	improving	improve	VERB
fcis-25930	181	26	response	response	NOUN
fcis-25930	181	27	quality	quality	NOUN
fcis-25930	181	28	during	during	ADP
fcis-25930	181	29	retrieval	retrieval	NOUN
fcis-25930	181	30	-	-	PUNCT
fcis-25930	181	31	augmented	augment	VERB
fcis-25930	181	32	generation	generation	NOUN
fcis-25930	181	33	,	,	PUNCT
fcis-25930	181	34	"	"	PUNCT
fcis-25930	181	35	4	4	NUM
fcis-25930	181	36	jul	jul	PROPN
fcis-25930	181	37	.	.	PROPN
fcis-25930	181	38	2024	2024	NUM
fcis-25930	181	39	,	,	PUNCT
fcis-25930	181	40	https://doi.org/10.20944/preprints202407.0376.v1	https://doi.org/10.20944/preprints202407.0376.v1	PROPN
fcis-25930	181	41	.	.	PUNCT
fcis-25930	182	1	[	[	X
fcis-25930	182	2	3	3	X
fcis-25930	182	3	]	]	X
fcis-25930	182	4	y.	y.	PROPN
fcis-25930	182	5	liang	liang	PROPN
fcis-25930	182	6	,	,	PUNCT
fcis-25930	182	7	"	"	PUNCT
fcis-25930	182	8	balancing	balance	VERB
fcis-25930	182	9	:	:	PUNCT
fcis-25930	182	10	the	the	DET
fcis-25930	182	11	effects	effect	NOUN
fcis-25930	182	12	of	of	ADP
fcis-25930	182	13	ai	ai	ADJ
fcis-25930	182	14	tools	tool	NOUN
fcis-25930	182	15	in	in	ADP
fcis-25930	182	16	educational	educational	ADJ
fcis-25930	182	17	context	context	NOUN
fcis-25930	182	18	,	,	PUNCT
fcis-25930	182	19	"	"	PUNCT
fcis-25930	182	20	vol	vol	NOUN
fcis-25930	182	21	.	.	PROPN
fcis-25930	183	1	3	3	NUM
fcis-25930	183	2	,	,	PUNCT
fcis-25930	183	3	no	no	INTJ
fcis-25930	183	4	.	.	NOUN
fcis-25930	183	5	8	8	NUM
fcis-25930	183	6	,	,	PUNCT
fcis-25930	183	7	22	22	NUM
fcis-25930	183	8	aug	aug	NOUN
fcis-25930	183	9	.	.	PROPN
fcis-25930	183	10	2023	2023	NUM
fcis-25930	183	11	,	,	PUNCT
fcis-25930	183	12	pp	pp	ADJ
fcis-25930	183	13	.	.	PUNCT
fcis-25930	184	1	7	7	NUM
fcis-25930	184	2	-	-	SYM
fcis-25930	184	3	10	10	NUM
fcis-25930	184	4	,	,	PUNCT
fcis-25930	184	5	https://doi	https://doi	PROPN
fcis-25930	184	6	.	.	PUNCT
fcis-25930	184	7	org/10.54691	org/10.54691	PROPN
fcis-25930	184	8	/	/	SYM
fcis-25930	184	9	fhss.v3i8.5531	fhss.v3i8.5531	PROPN
fcis-25930	184	10	.	.	PUNCT
fcis-25930	185	1	[	[	X
fcis-25930	185	2	4	4	X
fcis-25930	185	3	]	]	X
fcis-25930	185	4	j.	j.	PROPN
fcis-25930	185	5	su	su	PROPN
fcis-25930	185	6	and	and	CCONJ
fcis-25930	185	7	w.	w.	PROPN
fcis-25930	185	8	yang	yang	PROPN
fcis-25930	185	9	,	,	PUNCT
fcis-25930	185	10	"	"	PUNCT
fcis-25930	185	11	unlocking	unlock	VERB
fcis-25930	185	12	the	the	DET
fcis-25930	185	13	power	power	NOUN
fcis-25930	185	14	of	of	ADP
fcis-25930	185	15	chatgpt	chatgpt	NOUN
fcis-25930	185	16	:	:	PUNCT
fcis-25930	185	17	a	a	DET
fcis-25930	185	18	framework	framework	NOUN
fcis-25930	185	19	for	for	ADP
fcis-25930	185	20	applying	apply	VERB
fcis-25930	185	21	generative	generative	NOUN
fcis-25930	185	22	ai	ai	VERB
fcis-25930	185	23	in	in	ADP
fcis-25930	185	24	education	education	NOUN
fcis-25930	185	25	,	,	PUNCT
fcis-25930	185	26	"	"	PUNCT
fcis-25930	185	27	sage	sage	NOUN
fcis-25930	185	28	publishing	publishing	NOUN
fcis-25930	185	29	,	,	PUNCT
fcis-25930	185	30	vol	vol	NOUN
fcis-25930	185	31	.	.	PROPN
fcis-25930	186	1	6	6	NUM
fcis-25930	186	2	,	,	PUNCT
fcis-25930	186	3	no	no	INTJ
fcis-25930	186	4	.	.	NOUN
fcis-25930	186	5	3	3	NUM
fcis-25930	186	6	,	,	PUNCT
fcis-25930	186	7	19	19	NUM
fcis-25930	186	8	apr	apr	NOUN
fcis-25930	186	9	.	.	PUNCT
fcis-25930	186	10	2023	2023	NUM
fcis-25930	186	11	,	,	PUNCT
fcis-25930	186	12	pp	pp	ADJ
fcis-25930	186	13	.	.	PUNCT
fcis-25930	187	1	355	355	NUM
fcis-25930	187	2	-	-	SYM
fcis-25930	187	3	366	366	NUM
fcis-25930	187	4	,	,	PUNCT
fcis-25930	187	5	https://	https://	PROPN
fcis-25930	187	6	doi.org/10.1177/20965311231168423	doi.org/10.1177/20965311231168423	PROPN
fcis-25930	187	7	.	.	PUNCT
fcis-25930	188	1	[	[	X
fcis-25930	188	2	5	5	NUM
fcis-25930	188	3	]	]	PUNCT
fcis-25930	188	4	a.	a.	NOUN
fcis-25930	188	5	anand	anand	PROPN
fcis-25930	188	6	,	,	PUNCT
fcis-25930	188	7	"	"	PUNCT
fcis-25930	188	8	a	a	DET
fcis-25930	188	9	deep	deep	ADJ
fcis-25930	188	10	dive	dive	NOUN
fcis-25930	188	11	into	into	ADP
fcis-25930	188	12	retrieval	retrieval	NOUN
fcis-25930	188	13	-	-	PUNCT
fcis-25930	188	14	augmented	augment	VERB
fcis-25930	188	15	generation	generation	NOUN
fcis-25930	188	16	(	(	PUNCT
fcis-25930	188	17	rag	rag	NOUN
fcis-25930	188	18	):	):	PUNCT
fcis-25930	188	19	how	how	SCONJ
fcis-25930	188	20	it	it	PRON
fcis-25930	188	21	works	work	VERB
fcis-25930	188	22	behind	behind	ADP
fcis-25930	188	23	the	the	DET
fcis-25930	188	24	scenes	scene	NOUN
fcis-25930	188	25	!	!	PUNCT
fcis-25930	188	26	,	,	PUNCT
fcis-25930	188	27	"	"	PUNCT
fcis-25930	188	28	5	5	NUM
fcis-25930	188	29	sep	sep	NOUN
fcis-25930	188	30	.	.	PROPN
fcis-25930	188	31	2024	2024	NUM
fcis-25930	188	32	,	,	PUNCT
fcis-25930	188	33	https://dev.to/abhinowww/a-deep-dive-into-retrievalaugmented-generation-rag-how-it-works-behind-the-scenes4eid	https://dev.to/abhinowww/a-deep-dive-into-retrievalaugmented-generation-rag-how-it-works-behind-the-scenes4eid	NOUN
fcis-25930	188	34	.	.	PUNCT
fcis-25930	189	1	[	[	X
fcis-25930	189	2	6	6	NUM
fcis-25930	189	3	]	]	PUNCT
fcis-25930	189	4	s.	s.	PROPN
fcis-25930	189	5	xu	xu	PROPN
fcis-25930	189	6	et	et	PROPN
fcis-25930	189	7	al	al	PROPN
fcis-25930	189	8	.	.	PROPN
fcis-25930	189	9	,	,	PUNCT
fcis-25930	189	10	"	"	PUNCT
fcis-25930	189	11	unsupervised	unsupervised	ADJ
fcis-25930	189	12	information	information	NOUN
fcis-25930	189	13	refinement	refinement	NOUN
fcis-25930	189	14	training	training	NOUN
fcis-25930	189	15	of	of	ADP
fcis-25930	189	16	large	large	ADJ
fcis-25930	189	17	language	language	NOUN
fcis-25930	189	18	models	model	NOUN
fcis-25930	189	19	for	for	ADP
fcis-25930	189	20	retrieval	retrieval	NOUN
fcis-25930	189	21	-	-	PUNCT
fcis-25930	189	22	augmented	augment	VERB
fcis-25930	189	23	generation	generation	NOUN
fcis-25930	189	24	,	,	PUNCT
fcis-25930	189	25	"	"	PUNCT
fcis-25930	189	26	cornell	cornell	PROPN
fcis-25930	189	27	university	university	PROPN
fcis-25930	189	28	,	,	PUNCT
fcis-25930	189	29	28	28	NUM
fcis-25930	189	30	feb	feb	PROPN
fcis-25930	189	31	.	.	PROPN
fcis-25930	189	32	2024	2024	NUM
fcis-25930	189	33	,	,	PUNCT
fcis-25930	189	34	https://	https://	PROPN
fcis-25930	189	35	doi.org/10	doi.org/10	PROPN
fcis-25930	189	36	.	.	PROPN
fcis-25930	189	37	48550	48550	NUM
fcis-25930	189	38	/	/	SYM
fcis-25930	189	39	arxiv.2402	arxiv.2402	PROPN
fcis-25930	189	40	..	..	PUNCT
fcis-25930	190	1	[	[	X
fcis-25930	190	2	7	7	X
fcis-25930	190	3	]	]	X
fcis-25930	190	4	"	"	PUNCT
fcis-25930	190	5	advanced	advanced	ADJ
fcis-25930	190	6	rag	rag	NOUN
fcis-25930	190	7	for	for	ADP
fcis-25930	190	8	llms	llm	NOUN
fcis-25930	190	9	/	/	SYM
fcis-25930	190	10	slms	slm	NOUN
fcis-25930	190	11	.	.	PUNCT
fcis-25930	191	1	retrieval	retrieval	NOUN
fcis-25930	191	2	augmented	augment	VERB
fcis-25930	191	3	generation	generation	NOUN
fcis-25930	191	4	(	(	PUNCT
fcis-25930	191	5	rag	rag	NOUN
fcis-25930	191	6	)	)	PUNCT
fcis-25930	191	7	,	,	PUNCT
fcis-25930	191	8	"	"	PUNCT
fcis-25930	191	9	24	24	NUM
fcis-25930	191	10	dec	dec	PROPN
fcis-25930	191	11	.	.	PROPN
fcis-25930	191	12	2023	2023	NUM
fcis-25930	191	13	,	,	PUNCT
fcis-25930	191	14	https://medium	https://medium	NOUN
fcis-25930	191	15	.	.	NOUN
fcis-25930	191	16	com/@bijit211987	com/@bijit211987	NUM
fcis-25930	191	17	/	/	SYM
fcis-25930	191	18	advanced	advanced	ADJ
fcis-25930	191	19	-	-	PUNCT
fcis-25930	191	20	rag	rag	NOUN
fcis-25930	191	21	-	-	PUNCT
fcis-25930	191	22	for	for	ADP
fcis-25930	191	23	-	-	PUNCT
fcis-25930	191	24	llms	llm	NOUN
fcis-25930	191	25	-	-	PUNCT
fcis-25930	191	26	slms-5bcc6fbba411	slms-5bcc6fbba411	ADJ
fcis-25930	191	27	.	.	PUNCT
fcis-25930	192	1	[	[	X
fcis-25930	192	2	8	8	NUM
fcis-25930	192	3	]	]	X
fcis-25930	192	4	p.	p.	NOUN
fcis-25930	192	5	belagatti	belagatti	NOUN
fcis-25930	192	6	,	,	PUNCT
fcis-25930	192	7	"	"	PUNCT
fcis-25930	192	8	retrieval	retrieval	ADJ
fcis-25930	192	9	augmented	augment	VERB
fcis-25930	192	10	generation	generation	NOUN
fcis-25930	192	11	(	(	PUNCT
fcis-25930	192	12	rag	rag	NOUN
fcis-25930	192	13	)	)	PUNCT
fcis-25930	192	14	,	,	PUNCT
fcis-25930	192	15	"	"	PUNCT
fcis-25930	192	16	28	28	NUM
fcis-25930	192	17	oct	oct	PROPN
fcis-25930	192	18	.	.	PROPN
fcis-25930	192	19	2023	2023	NUM
fcis-25930	192	20	,	,	PUNCT
fcis-25930	192	21	https://dev.to/pavanbelagatti/wth-is-retrievalaugmented-generation-rag-2a5a	https://dev.to/pavanbelagatti/wth-is-retrievalaugmented-generation-rag-2a5a	NOUN
fcis-25930	192	22	.	.	PUNCT
fcis-25930	193	1	[	[	X
fcis-25930	193	2	9	9	NUM
fcis-25930	193	3	]	]	X
fcis-25930	193	4	y.	y.	PROPN
fcis-25930	193	5	gao	gao	PROPN
fcis-25930	193	6	et	et	PROPN
fcis-25930	193	7	al	al	PROPN
fcis-25930	193	8	.	.	PROPN
fcis-25930	193	9	,	,	PUNCT
fcis-25930	193	10	"	"	PUNCT
fcis-25930	193	11	retrieval	retrieval	NOUN
fcis-25930	193	12	-	-	PUNCT
fcis-25930	193	13	augmented	augment	VERB
fcis-25930	193	14	generation	generation	NOUN
fcis-25930	193	15	for	for	ADP
fcis-25930	193	16	large	large	ADJ
fcis-25930	193	17	language	language	NOUN
fcis-25930	193	18	models	model	NOUN
fcis-25930	193	19	:	:	PUNCT
fcis-25930	193	20	a	a	DET
fcis-25930	193	21	survey	survey	NOUN
fcis-25930	193	22	,	,	PUNCT
fcis-25930	193	23	"	"	PUNCT
fcis-25930	193	24	cornell	cornell	PROPN
fcis-25930	193	25	university	university	NOUN
fcis-25930	193	26	,	,	PUNCT
fcis-25930	193	27	1	1	NUM
fcis-25930	193	28	jan	jan	PROPN
fcis-25930	193	29	.	.	PROPN
fcis-25930	193	30	2023	2023	NUM
fcis-25930	193	31	,	,	PUNCT
fcis-25930	193	32	https://	https://	PROPN
fcis-25930	193	33	doi.org/10.48550/arxiv.2312.10997	doi.org/10.48550/arxiv.2312.10997	NOUN
fcis-25930	193	34	.	.	PUNCT
fcis-25930	194	1	[	[	X
fcis-25930	194	2	10	10	NUM
fcis-25930	194	3	]	]	X
fcis-25930	194	4	"	"	PUNCT
fcis-25930	194	5	rag	rag	NOUN
fcis-25930	194	6	based	base	VERB
fcis-25930	194	7	question	question	NOUN
fcis-25930	194	8	-	-	PUNCT
fcis-25930	194	9	answering	answering	NOUN
fcis-25930	194	10	for	for	ADP
fcis-25930	194	11	contextual	contextual	ADJ
fcis-25930	194	12	response	response	NOUN
fcis-25930	194	13	prediction	prediction	NOUN
fcis-25930	194	14	system	system	NOUN
fcis-25930	194	15	,	,	PUNCT
fcis-25930	194	16	"	"	PUNCT
fcis-25930	194	17	5	5	NUM
fcis-25930	194	18	sep	sep	NOUN
fcis-25930	194	19	.	.	PROPN
fcis-25930	194	20	2024	2024	NUM
fcis-25930	194	21	,	,	PUNCT
fcis-25930	194	22	https://doi.org/	https://doi.org/	VERB
fcis-25930	194	23	10.48550/	10.48550/	NUM
fcis-25930	194	24	arxiv.2409.03708	arxiv.2409.03708	NOUN
fcis-25930	194	25	.	.	PUNCT
fcis-25930	195	1	[	[	X
fcis-25930	195	2	11	11	NUM
fcis-25930	195	3	]	]	X
fcis-25930	195	4	y.	y.	PROPN
fcis-25930	195	5	shi	shi	PROPN
fcis-25930	195	6	et	et	PROPN
fcis-25930	195	7	al	al	PROPN
fcis-25930	195	8	.	.	PROPN
fcis-25930	195	9	,	,	PUNCT
fcis-25930	195	10	"	"	PUNCT
fcis-25930	195	11	eragent	eragent	NOUN
fcis-25930	195	12	:	:	PUNCT
fcis-25930	195	13	enhancing	enhance	VERB
fcis-25930	195	14	retrieval	retrieval	NOUN
fcis-25930	195	15	-	-	PUNCT
fcis-25930	195	16	augmented	augment	VERB
fcis-25930	195	17	language	language	NOUN
fcis-25930	195	18	models	model	NOUN
fcis-25930	195	19	with	with	ADP
fcis-25930	195	20	improved	improved	ADJ
fcis-25930	195	21	accuracy	accuracy	NOUN
fcis-25930	195	22	,	,	PUNCT
fcis-25930	195	23	efficiency	efficiency	NOUN
fcis-25930	195	24	,	,	PUNCT
fcis-25930	195	25	and	and	CCONJ
fcis-25930	195	26	personalization	personalization	NOUN
fcis-25930	195	27	,	,	PUNCT
fcis-25930	195	28	"	"	PUNCT
fcis-25930	195	29	cornell	cornell	PROPN
fcis-25930	195	30	university	university	NOUN
fcis-25930	195	31	,	,	PUNCT
fcis-25930	195	32	6	6	NUM
fcis-25930	195	33	may	may	NOUN
fcis-25930	195	34	.	.	PUNCT
fcis-25930	196	1	2024	2024	NUM
fcis-25930	196	2	,	,	PUNCT
fcis-25930	196	3	https://doi	https://doi	PROPN
fcis-25930	196	4	.	.	PUNCT
fcis-25930	197	1	org/	org/	NOUN
fcis-25930	197	2	10.48550	10.48550	NUM
fcis-25930	197	3	/	/	SYM
fcis-25930	197	4	arxiv.2405	arxiv.2405	PROPN
fcis-25930	197	5	..	..	PUNCT
fcis-25930	198	1	[	[	X
fcis-25930	198	2	12	12	NUM
fcis-25930	198	3	]	]	PUNCT
fcis-25930	198	4	j.	j.	PROPN
fcis-25930	198	5	f.	f.	PROPN
fcis-25930	198	6	hurtado	hurtado	PROPN
fcis-25930	198	7	,	,	PUNCT
fcis-25930	198	8	"	"	PUNCT
fcis-25930	198	9	harnessing	harness	VERB
fcis-25930	198	10	retrieval	retrieval	NOUN
fcis-25930	198	11	-	-	PUNCT
fcis-25930	198	12	augmented	augment	VERB
fcis-25930	198	13	generation	generation	NOUN
fcis-25930	198	14	(	(	PUNCT
fcis-25930	198	15	rag	rag	NOUN
fcis-25930	198	16	)	)	PUNCT
fcis-25930	198	17	for	for	ADP
fcis-25930	198	18	uncovering	uncover	VERB
fcis-25930	198	19	knowledge	knowledge	NOUN
fcis-25930	198	20	gaps	gap	NOUN
fcis-25930	198	21	,	,	PUNCT
fcis-25930	198	22	"	"	PUNCT
fcis-25930	198	23	cornell	cornell	PROPN
fcis-25930	198	24	university	university	NOUN
fcis-25930	198	25	,	,	PUNCT
fcis-25930	198	26	1	1	NUM
fcis-25930	198	27	jan	jan	PROPN
fcis-25930	198	28	.	.	PROPN
fcis-25930	198	29	2023	2023	NUM
fcis-25930	198	30	,	,	PUNCT
fcis-25930	198	31	https://doi.org/10.48550/arxiv.2312	https://doi.org/10.48550/arxiv.2312	X
fcis-25930	198	32	..	..	PUNCT
fcis-25930	199	1	[	[	X
fcis-25930	199	2	13	13	NUM
fcis-25930	199	3	]	]	X
fcis-25930	199	4	r.	r.	PROPN
fcis-25930	199	5	angles	angles	PROPN
fcis-25930	199	6	et	et	PROPN
fcis-25930	199	7	al	al	PROPN
fcis-25930	199	8	.	.	PROPN
fcis-25930	199	9	,	,	PUNCT
fcis-25930	199	10	"	"	PUNCT
fcis-25930	199	11	sparqlog	sparqlog	NOUN
fcis-25930	199	12	:	:	PUNCT
fcis-25930	199	13	a	a	DET
fcis-25930	199	14	system	system	NOUN
fcis-25930	199	15	for	for	ADP
fcis-25930	199	16	efficient	efficient	ADJ
fcis-25930	199	17	evaluation	evaluation	NOUN
fcis-25930	199	18	of	of	ADP
fcis-25930	199	19	sparql	sparql	ADJ
fcis-25930	199	20	1.1	1.1	NUM
fcis-25930	199	21	queries	query	NOUN
fcis-25930	199	22	via	via	ADP
fcis-25930	199	23	datalog	datalog	NOUN
fcis-25930	199	24	[	[	X
fcis-25930	199	25	experiment	experiment	NOUN
fcis-25930	199	26	,	,	PUNCT
fcis-25930	199	27	analysis	analysis	NOUN
fcis-25930	199	28	and	and	CCONJ
fcis-25930	199	29	benchmark	benchmark	NOUN
fcis-25930	199	30	]	]	PUNCT
fcis-25930	199	31	,	,	PUNCT
fcis-25930	199	32	"	"	PUNCT
fcis-25930	199	33	cornell	cornell	PROPN
fcis-25930	199	34	university	university	NOUN
fcis-25930	199	35	,	,	PUNCT
fcis-25930	199	36	1	1	NUM
fcis-25930	199	37	jan	jan	PROPN
fcis-25930	199	38	.	.	PROPN
fcis-25930	199	39	2023	2023	NUM
fcis-25930	199	40	,	,	PUNCT
fcis-25930	199	41	https://	https://	PROPN
fcis-25930	199	42	doi.org/10.48550/arxiv.2307.06119	doi.org/10.48550/arxiv.2307.06119	PROPN
fcis-25930	199	43	.	.	PUNCT
fcis-25930	200	1	[	[	X
fcis-25930	200	2	14	14	NUM
fcis-25930	200	3	]	]	PUNCT
fcis-25930	200	4	p.	p.	NOUN
fcis-25930	200	5	g.	g.	PROPN
fcis-25930	201	1	selinger	selinger	NOUN
fcis-25930	201	2	et	et	PROPN
fcis-25930	201	3	al	al	PROPN
fcis-25930	201	4	.	.	PROPN
fcis-25930	201	5	,	,	PUNCT
fcis-25930	201	6	"	"	PUNCT
fcis-25930	201	7	access	access	NOUN
fcis-25930	201	8	path	path	NOUN
fcis-25930	201	9	selection	selection	NOUN
fcis-25930	201	10	in	in	ADP
fcis-25930	201	11	a	a	DET
fcis-25930	201	12	relational	relational	ADJ
fcis-25930	201	13	database	database	NOUN
fcis-25930	201	14	management	management	NOUN
fcis-25930	201	15	system	system	NOUN
fcis-25930	201	16	,	,	PUNCT
fcis-25930	201	17	"	"	PUNCT
fcis-25930	201	18	1	1	NUM
fcis-25930	201	19	jan	jan	PROPN
fcis-25930	201	20	.	.	PROPN
fcis-25930	201	21	1979	1979	NUM
fcis-25930	201	22	,	,	PUNCT
fcis-25930	201	23	https://doi.org/	https://doi.org/	VERB
fcis-25930	201	24	10.1145/582095.582099	10.1145/582095.582099	NUM
fcis-25930	201	25	.	.	PUNCT
fcis-25930	202	1	[	[	X
fcis-25930	202	2	15	15	NUM
fcis-25930	202	3	]	]	PUNCT
fcis-25930	202	4	z.	z.	PROPN
fcis-25930	202	5	shao	shao	PROPN
fcis-25930	202	6	et	et	PROPN
fcis-25930	202	7	al	al	PROPN
fcis-25930	202	8	.	.	PROPN
fcis-25930	202	9	,	,	PUNCT
fcis-25930	202	10	"	"	PUNCT
fcis-25930	202	11	enhancing	enhance	VERB
fcis-25930	202	12	retrieval	retrieval	NOUN
fcis-25930	202	13	-	-	PUNCT
fcis-25930	202	14	augmented	augment	VERB
fcis-25930	202	15	large	large	ADJ
fcis-25930	202	16	language	language	NOUN
fcis-25930	202	17	models	model	NOUN
fcis-25930	202	18	with	with	ADP
fcis-25930	202	19	iterative	iterative	ADJ
fcis-25930	202	20	retrieval	retrieval	NOUN
fcis-25930	202	21	-	-	PUNCT
fcis-25930	202	22	generation	generation	NOUN
fcis-25930	202	23	synergy	synergy	NOUN
fcis-25930	202	24	,	,	PUNCT
fcis-25930	202	25	"	"	PUNCT
fcis-25930	202	26	cornell	cornell	PROPN
fcis-25930	202	27	university	university	NOUN
fcis-25930	202	28	,	,	PUNCT
fcis-25930	202	29	1	1	NUM
fcis-25930	202	30	jan	jan	PROPN
fcis-25930	202	31	.	.	PROPN
fcis-25930	202	32	2023	2023	NUM
fcis-25930	202	33	,	,	PUNCT
fcis-25930	202	34	https://doi.org/	https://doi.org/	VERB
fcis-25930	202	35	10	10	NUM
fcis-25930	202	36	.	.	PUNCT
fcis-25930	203	1	48550	48550	NUM
fcis-25930	203	2	/	/	SYM
fcis-25930	204	1	arxiv.2305	arxiv.2305	PROPN
fcis-25930	204	2	..	..	PUNCT
fcis-25930	205	1	[	[	X
fcis-25930	205	2	16	16	NUM
fcis-25930	205	3	]	]	PUNCT
fcis-25930	205	4	"	"	PUNCT
fcis-25930	205	5	a	a	DET
fcis-25930	205	6	survey	survey	NOUN
fcis-25930	205	7	on	on	ADP
fcis-25930	205	8	retrieval	retrieval	NOUN
fcis-25930	205	9	-	-	PUNCT
fcis-25930	205	10	augmented	augment	VERB
fcis-25930	205	11	text	text	NOUN
fcis-25930	205	12	generation	generation	NOUN
fcis-25930	205	13	for	for	ADP
fcis-25930	205	14	large	large	ADJ
fcis-25930	205	15	language	language	NOUN
fcis-25930	205	16	models	model	NOUN
fcis-25930	205	17	,	,	PUNCT
fcis-25930	205	18	"	"	PUNCT
fcis-25930	205	19	26	26	NUM
fcis-25930	205	20	aug	aug	PROPN
fcis-25930	205	21	.	.	PROPN
fcis-25930	205	22	2024	2024	NUM
fcis-25930	205	23	,	,	PUNCT
fcis-25930	205	24	https://www.aimodels	https://www.aimodels	PROPN
fcis-25930	205	25	.	.	PUNCT
fcis-25930	206	1	fyi	fyi	PROPN
fcis-25930	206	2	/	/	SYM
fcis-25930	206	3	papers	papers	PROPN
fcis-25930	206	4	/	/	SYM
fcis-25930	206	5	arxiv	arxiv	PROPN
fcis-25930	206	6	/	/	SYM
fcis-25930	206	7	survey	survey	NOUN
fcis-25930	206	8	-	-	PUNCT
fcis-25930	206	9	retrieval	retrieval	NOUN
fcis-25930	206	10	-	-	PUNCT
fcis-25930	206	11	augmented	augment	VERB
fcis-25930	206	12	-	-	PUNCT
fcis-25930	206	13	text	text	NOUN
fcis-25930	206	14	-	-	PUNCT
fcis-25930	206	15	generationlarge	generationlarge	NOUN
fcis-25930	206	16	-	-	PUNCT
fcis-25930	206	17	language	language	NOUN
fcis-25930	206	18	.	.	PUNCT
fcis-25930	207	1	[	[	X
fcis-25930	207	2	17	17	NUM
fcis-25930	207	3	]	]	X
fcis-25930	207	4	"	"	PUNCT
fcis-25930	207	5	retrieval	retrieval	NOUN
fcis-25930	207	6	-	-	PUNCT
fcis-25930	207	7	augmented	augment	VERB
fcis-25930	207	8	generation	generation	NOUN
fcis-25930	207	9	for	for	ADP
fcis-25930	207	10	natural	natural	ADJ
fcis-25930	207	11	language	language	NOUN
fcis-25930	207	12	processing	processing	NOUN
fcis-25930	207	13	:	:	PUNCT
fcis-25930	207	14	a	a	DET
fcis-25930	207	15	survey	survey	NOUN
fcis-25930	207	16	,	,	PUNCT
fcis-25930	207	17	"	"	PUNCT
fcis-25930	207	18	18	18	NUM
fcis-25930	207	19	jul	jul	PROPN
fcis-25930	207	20	.	.	PROPN
fcis-25930	207	21	2024	2024	NUM
fcis-25930	207	22	,	,	PUNCT
fcis-25930	207	23	https://doi.org/10.48550/	https://doi.org/10.48550/	PROPN
fcis-25930	207	24	arxiv.2407.13193	arxiv.2407.13193	NUM
fcis-25930	207	25	.	.	PUNCT
fcis-25930	208	1	71	71	NUM
fcis-25930	209	1	[	[	SYM
fcis-25930	209	2	18	18	NUM
fcis-25930	209	3	]	]	PUNCT
fcis-25930	209	4	a.	a.	NOUN
fcis-25930	209	5	p.	p.	NOUN
fcis-25930	209	6	v.	v.	PROPN
fcis-25930	209	7	k.	k.	PROPN
fcis-25930	209	8	n.	n.	PROPN
fcis-25930	209	9	g.	g.	PROPN
fcis-25930	209	10	h.	h.	PROPN
fcis-25930	209	11	k.	k.	PROPN
fcis-25930	209	12	m.	m.	PROPN
fcis-25930	209	13	l.	l.	PROPN
fcis-25930	209	14	w.	w.	PROPN
fcis-25930	209	15	y.	y.	PROPN
fcis-25930	209	16	t.	t.	PROPN
fcis-25930	209	17	r.	r.	PROPN
fcis-25930	209	18	d.	d.	PROPN
fcis-25930	209	19	kiela	kiela	PROPN
fcis-25930	209	20	,	,	PUNCT
fcis-25930	209	21	"	"	PUNCT
fcis-25930	209	22	retrievalaugmented	retrievalaugmente	VERB
fcis-25930	209	23	generation	generation	NOUN
fcis-25930	209	24	for	for	ADP
fcis-25930	209	25	knowledge	knowledge	NOUN
fcis-25930	209	26	-	-	PUNCT
fcis-25930	209	27	intensive	intensive	ADJ
fcis-25930	209	28	nlp	nlp	NOUN
fcis-25930	209	29	tasks	task	NOUN
fcis-25930	209	30	meta	meta	PROPN
fcis-25930	209	31	research	research	NOUN
fcis-25930	209	32	,	,	PUNCT
fcis-25930	209	33	"	"	PUNCT
fcis-25930	209	34	16	16	NUM
fcis-25930	209	35	dec	dec	PROPN
fcis-25930	209	36	.	.	PROPN
fcis-25930	209	37	2020	2020	NUM
fcis-25930	209	38	,	,	PUNCT
fcis-25930	209	39	https://research.facebook	https://research.facebook	VERB
fcis-25930	209	40	.	.	PUNCT
fcis-25930	209	41	com	com	NOUN
fcis-25930	209	42	/	/	SYM
fcis-25930	209	43	publications	publication	NOUN
fcis-25930	209	44	/	/	SYM
fcis-25930	209	45	retrieval	retrieval	NOUN
fcis-25930	209	46	-	-	PUNCT
fcis-25930	209	47	augmented	augment	VERB
fcis-25930	209	48	-	-	PUNCT
fcis-25930	209	49	generation	generation	NOUN
fcis-25930	209	50	-	-	PUNCT
fcis-25930	209	51	forknowledge	forknowledge	NOUN
fcis-25930	209	52	-	-	PUNCT
fcis-25930	209	53	intensive	intensive	ADJ
fcis-25930	209	54	-	-	PUNCT
fcis-25930	209	55	nlp	nlp	NOUN
fcis-25930	209	56	-	-	NOUN
fcis-25930	209	57	tasks/.	tasks/.	NOUN
fcis-25930	209	58	[	[	NOUN
fcis-25930	209	59	19	19	NUM
fcis-25930	209	60	]	]	PUNCT
fcis-25930	209	61	p.	p.	PROPN
fcis-25930	209	62	lewis	lewis	PROPN
fcis-25930	209	63	,	,	PUNCT
fcis-25930	209	64	"	"	PUNCT
fcis-25930	209	65	retrieval	retrieval	NOUN
fcis-25930	209	66	-	-	PUNCT
fcis-25930	209	67	augmented	augment	VERB
fcis-25930	209	68	generation	generation	NOUN
fcis-25930	209	69	for	for	ADP
fcis-25930	209	70	knowledgeintensive	knowledgeintensive	ADJ
fcis-25930	209	71	nlp	nlp	NOUN
fcis-25930	209	72	tasks	task	NOUN
fcis-25930	209	73	|	|	PROPN
fcis-25930	209	74	patrick	patrick	PROPN
fcis-25930	209	75	lewis	lewis	PROPN
fcis-25930	209	76	,	,	PUNCT
fcis-25930	209	77	"	"	PUNCT
fcis-25930	209	78	22	22	NUM
fcis-25930	209	79	may	may	NOUN
fcis-25930	209	80	.	.	PUNCT
fcis-25930	210	1	2020	2020	NUM
fcis-25930	210	2	,	,	PUNCT
fcis-25930	210	3	https://	https://	PROPN
fcis-25930	210	4	www	www	PROPN
fcis-25930	210	5	.	.	PUNCT
fcis-25930	211	1	patricklewis.io/publication/rag/.	patricklewis.io/publication/rag/.	NOUN
fcis-25930	211	2	[	[	X
fcis-25930	211	3	20	20	NUM
fcis-25930	211	4	]	]	PUNCT
fcis-25930	212	1	k.	k.	PROPN
fcis-25930	212	2	shuster	shuster	PROPN
fcis-25930	212	3	et	et	PROPN
fcis-25930	212	4	al	al	PROPN
fcis-25930	212	5	.	.	PROPN
fcis-25930	212	6	,	,	PUNCT
fcis-25930	212	7	"	"	PUNCT
fcis-25930	212	8	retrieval	retrieval	NOUN
fcis-25930	212	9	augmentation	augmentation	NOUN
fcis-25930	212	10	reduces	reduce	VERB
fcis-25930	212	11	hallucination	hallucination	NOUN
fcis-25930	212	12	in	in	ADP
fcis-25930	212	13	conversation	conversation	NOUN
fcis-25930	212	14	,	,	PUNCT
fcis-25930	212	15	"	"	PUNCT
fcis-25930	212	16	cornell	cornell	PROPN
fcis-25930	212	17	university	university	NOUN
fcis-25930	212	18	,	,	PUNCT
fcis-25930	212	19	1	1	NUM
fcis-25930	212	20	jan	jan	PROPN
fcis-25930	212	21	.	.	PROPN
fcis-25930	212	22	2021	2021	NUM
fcis-25930	212	23	,	,	PUNCT
fcis-25930	212	24	https://doi.org/10.48550/arxiv.2104	https://doi.org/10.48550/arxiv.2104	NOUN
fcis-25930	212	25	..	..	PUNCT
fcis-25930	213	1	[	[	X
fcis-25930	213	2	21	21	NUM
fcis-25930	213	3	]	]	X
fcis-25930	213	4	"	"	PUNCT
fcis-25930	213	5	retrieval	retrieval	ADJ
fcis-25930	213	6	augmented	augment	VERB
fcis-25930	213	7	generation	generation	NOUN
fcis-25930	213	8	(	(	PUNCT
fcis-25930	213	9	rag	rag	NOUN
fcis-25930	213	10	)	)	PUNCT
fcis-25930	213	11	for	for	ADP
fcis-25930	213	12	llms	llm	NOUN
fcis-25930	213	13	,	,	PUNCT
fcis-25930	213	14	"	"	PUNCT
fcis-25930	213	15	1	1	NUM
fcis-25930	213	16	jan	jan	PROPN
fcis-25930	213	17	.	.	PROPN
fcis-25930	213	18	2024	2024	NUM
fcis-25930	213	19	,	,	PUNCT
fcis-25930	213	20	https://www.promptingguide.ai/research/rag	https://www.promptingguide.ai/research/rag	PRON
fcis-25930	213	21	.	.	PUNCT
fcis-25930	214	1	[	[	X
fcis-25930	214	2	22	22	NUM
fcis-25930	214	3	]	]	PUNCT
fcis-25930	214	4	"	"	PUNCT
fcis-25930	214	5	update	update	VERB
fcis-25930	214	6	your	your	PRON
fcis-25930	214	7	browser	browser	NOUN
fcis-25930	214	8	,	,	PUNCT
fcis-25930	214	9	"	"	PUNCT
fcis-25930	214	10	22	22	NUM
fcis-25930	214	11	may	may	NOUN
fcis-25930	214	12	.	.	PUNCT
fcis-25930	215	1	2019	2019	NUM
fcis-25930	215	2	,	,	PUNCT
fcis-25930	215	3	https://ai	https://ai	NOUN
fcis-25930	215	4	.	.	PUNCT
fcis-25930	216	1	meta	meta	X
fcis-25930	216	2	.	.	PUNCT
fcis-25930	216	3	com	com	NOUN
fcis-25930	216	4	/	/	SYM
fcis-25930	216	5	blog	blog	NOUN
fcis-25930	216	6	/	/	SYM
fcis-25930	216	7	retrieval	retrieval	NOUN
fcis-25930	216	8	-	-	PUNCT
fcis-25930	216	9	augmented	augment	VERB
fcis-25930	216	10	-	-	PUNCT
fcis-25930	216	11	generation	generation	NOUN
fcis-25930	216	12	-	-	PUNCT
fcis-25930	216	13	streamlining	streamline	VERB
fcis-25930	216	14	-	-	PUNCT
fcis-25930	216	15	thecreation	thecreation	NOUN
fcis-25930	216	16	-	-	PUNCT
fcis-25930	216	17	of	of	ADP
fcis-25930	216	18	-	-	PUNCT
fcis-25930	216	19	intelligent	intelligent	ADJ
fcis-25930	216	20	-	-	PUNCT
fcis-25930	216	21	natural	natural	ADJ
fcis-25930	216	22	-	-	PUNCT
fcis-25930	216	23	language	language	NOUN
fcis-25930	216	24	-	-	PUNCT
fcis-25930	216	25	processing	processing	NOUN
fcis-25930	216	26	-	-	PUNCT
fcis-25930	216	27	models/.	models/.	NOUN
fcis-25930	216	28	[	[	X
fcis-25930	216	29	23	23	NUM
fcis-25930	216	30	]	]	PUNCT
fcis-25930	216	31	x.	x.	NOUN
fcis-25930	216	32	wang	wang	PROPN
fcis-25930	216	33	et	et	PROPN
fcis-25930	216	34	al	al	PROPN
fcis-25930	216	35	.	.	PROPN
fcis-25930	216	36	,	,	PUNCT
fcis-25930	216	37	"	"	PUNCT
fcis-25930	216	38	adaptive	adaptive	ADJ
fcis-25930	216	39	retrieval	retrieval	NOUN
fcis-25930	216	40	-	-	PUNCT
fcis-25930	216	41	augmented	augment	VERB
fcis-25930	216	42	generation	generation	NOUN
fcis-25930	216	43	for	for	ADP
fcis-25930	216	44	conversational	conversational	ADJ
fcis-25930	216	45	systems	system	NOUN
fcis-25930	216	46	,	,	PUNCT
fcis-25930	216	47	"	"	PUNCT
fcis-25930	216	48	cornell	cornell	PROPN
fcis-25930	216	49	university	university	NOUN
fcis-25930	216	50	,	,	PUNCT
fcis-25930	216	51	31	31	NUM
fcis-25930	216	52	jul	jul	PROPN
fcis-25930	216	53	.	.	PROPN
fcis-25930	216	54	2024	2024	NUM
fcis-25930	216	55	,	,	PUNCT
fcis-25930	216	56	https://doi.org/10.48550/arxiv.2407.21712	https://doi.org/10.48550/arxiv.2407.21712	NOUN
fcis-25930	216	57	.	.	PUNCT
fcis-25930	217	1	[	[	X
fcis-25930	217	2	24	24	NUM
fcis-25930	217	3	]	]	PUNCT
fcis-25930	217	4	r.	r.	PROPN
fcis-25930	217	5	nogueira	nogueira	PROPN
fcis-25930	217	6	et	et	PROPN
fcis-25930	217	7	al	al	PROPN
fcis-25930	217	8	.	.	PROPN
fcis-25930	217	9	,	,	PUNCT
fcis-25930	217	10	"	"	PUNCT
fcis-25930	217	11	document	document	NOUN
fcis-25930	217	12	expansion	expansion	NOUN
fcis-25930	217	13	by	by	ADP
fcis-25930	217	14	query	query	NOUN
fcis-25930	217	15	prediction	prediction	NOUN
fcis-25930	217	16	,	,	PUNCT
fcis-25930	217	17	"	"	PUNCT
fcis-25930	217	18	cornell	cornell	PROPN
fcis-25930	217	19	university	university	NOUN
fcis-25930	217	20	,	,	PUNCT
fcis-25930	217	21	1	1	NUM
fcis-25930	217	22	jan	jan	PROPN
fcis-25930	217	23	.	.	PROPN
fcis-25930	217	24	2019	2019	NUM
fcis-25930	217	25	,	,	PUNCT
fcis-25930	217	26	https://doi.org/	https://doi.org/	NOUN
fcis-25930	217	27	10.48550	10.48550	NUM
fcis-25930	217	28	/	/	SYM
fcis-25930	217	29	arxiv.1904.08375	arxiv.1904.08375	NOUN
fcis-25930	217	30	.	.	PUNCT
fcis-25930	218	1	[	[	X
fcis-25930	218	2	25	25	NUM
fcis-25930	218	3	]	]	PUNCT
fcis-25930	218	4	a.	a.	NOUN
fcis-25930	218	5	çakır	çakır	PROPN
fcis-25930	218	6	and	and	CCONJ
fcis-25930	218	7	m.	m.	NOUN
fcis-25930	218	8	gürkan	gürkan	PROPN
fcis-25930	218	9	,	,	PUNCT
fcis-25930	218	10	"	"	PUNCT
fcis-25930	218	11	modified	modified	ADJ
fcis-25930	218	12	query	query	NOUN
fcis-25930	218	13	expansion	expansion	NOUN
fcis-25930	218	14	through	through	ADP
fcis-25930	218	15	generative	generative	ADJ
fcis-25930	218	16	adversarial	adversarial	ADJ
fcis-25930	218	17	networks	network	NOUN
fcis-25930	218	18	for	for	ADP
fcis-25930	218	19	information	information	NOUN
fcis-25930	218	20	extraction	extraction	NOUN
fcis-25930	218	21	in	in	ADP
fcis-25930	218	22	e	e	NOUN
fcis-25930	218	23	-	-	NOUN
fcis-25930	218	24	commerce	commerce	NOUN
fcis-25930	218	25	,	,	PUNCT
fcis-25930	218	26	"	"	PUNCT
fcis-25930	218	27	cornell	cornell	PROPN
fcis-25930	218	28	university	university	NOUN
fcis-25930	218	29	,	,	PUNCT
fcis-25930	218	30	1	1	NUM
fcis-25930	218	31	jan	jan	PROPN
fcis-25930	218	32	.	.	PROPN
fcis-25930	218	33	2023	2023	NUM
fcis-25930	218	34	,	,	PUNCT
fcis-25930	218	35	https://doi.org/	https://doi.org/	NOUN
fcis-25930	218	36	10.48550	10.48550	NUM
fcis-25930	218	37	/	/	SYM
fcis-25930	218	38	arxiv.2301.00036	arxiv.2301.00036	NOUN
fcis-25930	218	39	.	.	PUNCT
fcis-25930	219	1	[	[	X
fcis-25930	219	2	26	26	NUM
fcis-25930	219	3	]	]	PUNCT
fcis-25930	219	4	m.	m.	NOUN
fcis-25930	219	5	dehghani	dehghani	PROPN
fcis-25930	219	6	et	et	PROPN
fcis-25930	219	7	al	al	PROPN
fcis-25930	219	8	.	.	PROPN
fcis-25930	219	9	,	,	PUNCT
fcis-25930	219	10	"	"	PUNCT
fcis-25930	219	11	learning	learn	VERB
fcis-25930	219	12	to	to	PART
fcis-25930	219	13	attend	attend	VERB
fcis-25930	219	14	,	,	PUNCT
fcis-25930	219	15	copy	copy	NOUN
fcis-25930	219	16	,	,	PUNCT
fcis-25930	219	17	and	and	CCONJ
fcis-25930	219	18	generate	generate	VERB
fcis-25930	219	19	for	for	ADP
fcis-25930	219	20	session	session	NOUN
fcis-25930	219	21	-	-	PUNCT
fcis-25930	219	22	based	base	VERB
fcis-25930	219	23	query	query	NOUN
fcis-25930	219	24	suggestion	suggestion	NOUN
fcis-25930	219	25	,	,	PUNCT
fcis-25930	219	26	"	"	PUNCT
fcis-25930	219	27	cornell	cornell	PROPN
fcis-25930	219	28	university	university	NOUN
fcis-25930	219	29	,	,	PUNCT
fcis-25930	219	30	1	1	NUM
fcis-25930	219	31	jan	jan	PROPN
fcis-25930	219	32	.	.	PROPN
fcis-25930	219	33	2017	2017	NUM
fcis-25930	219	34	,	,	PUNCT
fcis-25930	219	35	https://doi.org/10.48550/arxiv.1708.03418	https://doi.org/10.48550/arxiv.1708.03418	PROPN
fcis-25930	219	36	.	.	PUNCT
fcis-25930	220	1	[	[	X
fcis-25930	220	2	27	27	NUM
fcis-25930	220	3	]	]	PUNCT
fcis-25930	220	4	s.	s.	PROPN
fcis-25930	220	5	barnett	barnett	PROPN
fcis-25930	220	6	et	et	PROPN
fcis-25930	220	7	al	al	PROPN
fcis-25930	220	8	.	.	PROPN
fcis-25930	220	9	,	,	PUNCT
fcis-25930	220	10	"	"	PUNCT
fcis-25930	220	11	seven	seven	NUM
fcis-25930	220	12	failure	failure	NOUN
fcis-25930	220	13	points	point	VERB
fcis-25930	220	14	when	when	SCONJ
fcis-25930	220	15	engineering	engineer	VERB
fcis-25930	220	16	a	a	DET
fcis-25930	220	17	retrieval	retrieval	NOUN
fcis-25930	220	18	augmented	augment	VERB
fcis-25930	220	19	generation	generation	NOUN
fcis-25930	220	20	system	system	NOUN
fcis-25930	220	21	,	,	PUNCT
fcis-25930	220	22	"	"	PUNCT
fcis-25930	220	23	cornell	cornell	PROPN
fcis-25930	220	24	university	university	NOUN
fcis-25930	220	25	,	,	PUNCT
fcis-25930	220	26	1	1	NUM
fcis-25930	220	27	jan	jan	PROPN
fcis-25930	220	28	.	.	PROPN
fcis-25930	220	29	2024	2024	NUM
fcis-25930	220	30	,	,	PUNCT
fcis-25930	220	31	https://doi.org/10.48550/arxiv.2401.05856	https://doi.org/10.48550/arxiv.2401.05856	PROPN
fcis-25930	220	32	.	.	PUNCT
fcis-25930	221	1	[	[	X
fcis-25930	221	2	28	28	NUM
fcis-25930	221	3	]	]	X
fcis-25930	221	4	"	"	PUNCT
fcis-25930	221	5	rag	rag	NOUN
fcis-25930	221	6	-	-	PUNCT
fcis-25930	221	7	fusion	fusion	NOUN
fcis-25930	221	8	:	:	PUNCT
fcis-25930	221	9	a	a	DET
fcis-25930	221	10	new	new	ADJ
fcis-25930	221	11	take	take	NOUN
fcis-25930	221	12	on	on	ADP
fcis-25930	221	13	retrieval	retrieval	NOUN
fcis-25930	221	14	-	-	PUNCT
fcis-25930	221	15	augmented	augment	VERB
fcis-25930	221	16	generation	generation	NOUN
fcis-25930	221	17	,	,	PUNCT
fcis-25930	221	18	"	"	PUNCT
fcis-25930	221	19	31	31	NUM
fcis-25930	221	20	jan	jan	PROPN
fcis-25930	221	21	.	.	PROPN
fcis-25930	221	22	2024	2024	NUM
fcis-25930	221	23	,	,	PUNCT
fcis-25930	221	24	https://doi.org/	https://doi.org/	NOUN
fcis-25930	221	25	10.48550/	10.48550/	NUM
fcis-25930	221	26	arxiv	arxiv	NOUN
fcis-25930	221	27	.	.	PUNCT
fcis-25930	222	1	2402	2402	NUM
fcis-25930	222	2	.	.	PUNCT
fcis-25930	223	1	03367	03367	NUM
fcis-25930	223	2	.	.	PUNCT
fcis-25930	224	1	[	[	X
fcis-25930	224	2	29	29	NUM
fcis-25930	224	3	]	]	X
fcis-25930	224	4	m.	m.	NOUN
fcis-25930	224	5	arenas	arenas	PROPN
fcis-25930	224	6	et	et	PROPN
fcis-25930	224	7	al	al	PROPN
fcis-25930	224	8	.	.	PROPN
fcis-25930	224	9	,	,	PUNCT
fcis-25930	224	10	"	"	PUNCT
fcis-25930	224	11	querying	query	VERB
fcis-25930	224	12	in	in	ADP
fcis-25930	224	13	the	the	DET
fcis-25930	224	14	age	age	NOUN
fcis-25930	224	15	of	of	ADP
fcis-25930	224	16	graph	graph	NOUN
fcis-25930	224	17	databases	database	NOUN
fcis-25930	224	18	and	and	CCONJ
fcis-25930	224	19	knowledge	knowledge	NOUN
fcis-25930	224	20	graphs	graph	NOUN
fcis-25930	224	21	,	,	PUNCT
fcis-25930	224	22	"	"	PUNCT
fcis-25930	224	23	9	9	NUM
fcis-25930	224	24	jun	jun	PROPN
fcis-25930	224	25	.	.	PROPN
fcis-25930	224	26	2021	2021	NUM
fcis-25930	224	27	,	,	PUNCT
fcis-25930	224	28	https://doi.org/	https://doi.org/	VERB
fcis-25930	224	29	10.1145/	10.1145/	NUM
fcis-25930	224	30	3448016.3457545	3448016.3457545	NUM
fcis-25930	224	31	.	.	PUNCT
fcis-25930	225	1	[	[	X
fcis-25930	225	2	30	30	NUM
fcis-25930	225	3	]	]	PUNCT
fcis-25930	225	4	p.	p.	NOUN
fcis-25930	225	5	schneider	schneider	PROPN
fcis-25930	225	6	et	et	PROPN
fcis-25930	225	7	al	al	PROPN
fcis-25930	225	8	.	.	PROPN
fcis-25930	225	9	,	,	PUNCT
fcis-25930	225	10	"	"	PUNCT
fcis-25930	225	11	a	a	DET
fcis-25930	225	12	decade	decade	NOUN
fcis-25930	225	13	of	of	ADP
fcis-25930	225	14	knowledge	knowledge	NOUN
fcis-25930	225	15	graphs	graph	NOUN
fcis-25930	225	16	in	in	ADP
fcis-25930	225	17	natural	natural	ADJ
fcis-25930	225	18	language	language	NOUN
fcis-25930	225	19	processing	processing	NOUN
fcis-25930	225	20	:	:	PUNCT
fcis-25930	225	21	a	a	DET
fcis-25930	225	22	survey	survey	NOUN
fcis-25930	225	23	,	,	PUNCT
fcis-25930	225	24	"	"	PUNCT
fcis-25930	225	25	cornell	cornell	PROPN
fcis-25930	225	26	university	university	NOUN
fcis-25930	225	27	,	,	PUNCT
fcis-25930	225	28	1	1	NUM
fcis-25930	225	29	jan	jan	PROPN
fcis-25930	225	30	.	.	PROPN
fcis-25930	225	31	2022	2022	NUM
fcis-25930	225	32	,	,	PUNCT
fcis-25930	225	33	https://doi.org/10.48550/arxiv.2210	https://doi.org/10.48550/arxiv.2210	NOUN
fcis-25930	225	34	..	..	PUNCT
fcis-25930	226	1	[	[	X
fcis-25930	226	2	31	31	NUM
fcis-25930	226	3	]	]	PUNCT
fcis-25930	226	4	s.	s.	PROPN
fcis-25930	226	5	sunkle	sunkle	PROPN
fcis-25930	226	6	et	et	PROPN
fcis-25930	226	7	al	al	PROPN
fcis-25930	226	8	.	.	PROPN
fcis-25930	226	9	,	,	PUNCT
fcis-25930	226	10	"	"	PUNCT
fcis-25930	226	11	generating	generate	VERB
fcis-25930	226	12	highly	highly	ADV
fcis-25930	226	13	customizable	customizable	ADJ
fcis-25930	226	14	sql	sql	NOUN
fcis-25930	226	15	parsers	parser	NOUN
fcis-25930	226	16	,	,	PUNCT
fcis-25930	226	17	"	"	PUNCT
fcis-25930	226	18	29	29	NUM
fcis-25930	226	19	mar	mar	PROPN
fcis-25930	226	20	.	.	PROPN
fcis-25930	226	21	2008	2008	NUM
fcis-25930	226	22	,	,	PUNCT
fcis-25930	226	23	https://doi.org/10.1145/	https://doi.org/10.1145/	PROPN
fcis-25930	226	24	1385486	1385486	NUM
fcis-25930	226	25	.	.	PUNCT
fcis-25930	227	1	1385	1385	NUM
fcis-25930	227	2	495	495	NUM
fcis-25930	227	3	.	.	PUNCT
fcis-25930	228	1	[	[	X
fcis-25930	228	2	32	32	NUM
fcis-25930	228	3	]	]	PUNCT
fcis-25930	228	4	a.	a.	NOUN
fcis-25930	228	5	giordani	giordani	PROPN
fcis-25930	228	6	and	and	CCONJ
fcis-25930	228	7	a.	a.	PROPN
fcis-25930	228	8	moschitti	moschitti	PROPN
fcis-25930	228	9	,	,	PUNCT
fcis-25930	228	10	"	"	PUNCT
fcis-25930	228	11	translating	translate	VERB
fcis-25930	228	12	questions	question	NOUN
fcis-25930	228	13	to	to	PART
fcis-25930	228	14	sql	sql	VERB
fcis-25930	228	15	queries	query	NOUN
fcis-25930	228	16	with	with	ADP
fcis-25930	228	17	generative	generative	ADJ
fcis-25930	228	18	parsers	parser	NOUN
fcis-25930	228	19	discriminatively	discriminatively	ADV
fcis-25930	228	20	reranked	reranke	VERB
fcis-25930	228	21	,	,	PUNCT
fcis-25930	228	22	"	"	PUNCT
fcis-25930	228	23	1	1	NUM
fcis-25930	228	24	dec	dec	PROPN
fcis-25930	228	25	.	.	PROPN
fcis-25930	228	26	2012	2012	NUM
fcis-25930	228	27	,	,	PUNCT
fcis-25930	228	28	pp	pp	ADV
fcis-25930	228	29	.	.	PUNCT
fcis-25930	229	1	401	401	NUM
fcis-25930	229	2	-	-	SYM
fcis-25930	229	3	410	410	NUM
fcis-25930	229	4	,	,	PUNCT
fcis-25930	229	5	http://disi.unitn.it/moschitti/	http://disi.unitn.it/moschitti/	PROPN
fcis-25930	229	6	articles/2012	articles/2012	NOUN
fcis-25930	229	7	/	/	SYM
fcis-25930	229	8	coling2012.pdf	coling2012.pdf	NOUN
fcis-25930	229	9	.	.	PUNCT
fcis-25930	230	1	[	[	X
fcis-25930	230	2	33	33	NUM
fcis-25930	230	3	]	]	PUNCT
fcis-25930	230	4	a.	a.	NOUN
fcis-25930	230	5	viswanathan	viswanathan	PROPN
fcis-25930	230	6	et	et	PROPN
fcis-25930	230	7	al	al	PROPN
fcis-25930	230	8	.	.	PROPN
fcis-25930	230	9	,	,	PUNCT
fcis-25930	230	10	"	"	PUNCT
fcis-25930	230	11	feature	feature	NOUN
fcis-25930	230	12	-	-	PUNCT
fcis-25930	230	13	based	base	VERB
fcis-25930	230	14	reformulation	reformulation	NOUN
fcis-25930	230	15	of	of	ADP
fcis-25930	230	16	entities	entity	NOUN
fcis-25930	230	17	in	in	ADP
fcis-25930	230	18	triple	triple	ADJ
fcis-25930	230	19	pattern	pattern	NOUN
fcis-25930	230	20	queries	query	NOUN
fcis-25930	230	21	,	,	PUNCT
fcis-25930	230	22	"	"	PUNCT
fcis-25930	230	23	cornell	cornell	PROPN
fcis-25930	230	24	university	university	NOUN
fcis-25930	230	25	,	,	PUNCT
fcis-25930	230	26	1	1	NUM
fcis-25930	230	27	jan	jan	PROPN
fcis-25930	230	28	.	.	PROPN
fcis-25930	230	29	2018	2018	NUM
fcis-25930	230	30	,	,	PUNCT
fcis-25930	230	31	https://doi.org/10.48550/arxiv.1807.01801	https://doi.org/10.48550/arxiv.1807.01801	PROPN
fcis-25930	230	32	.	.	PUNCT
fcis-25930	231	1	[	[	X
fcis-25930	231	2	34	34	NUM
fcis-25930	231	3	]	]	X
fcis-25930	231	4	s.	s.	PROPN
fcis-25930	231	5	vemuru	vemuru	PROPN
fcis-25930	231	6	et	et	PROPN
fcis-25930	231	7	al	al	PROPN
fcis-25930	231	8	.	.	PROPN
fcis-25930	231	9	,	,	PUNCT
fcis-25930	231	10	"	"	PUNCT
fcis-25930	231	11	handling	handle	VERB
fcis-25930	231	12	complex	complex	ADJ
fcis-25930	231	13	queries	query	NOUN
fcis-25930	231	14	using	use	VERB
fcis-25930	231	15	query	query	NOUN
fcis-25930	231	16	trees	tree	NOUN
fcis-25930	231	17	,	,	PUNCT
fcis-25930	231	18	"	"	PUNCT
fcis-25930	231	19	26	26	NUM
fcis-25930	231	20	jun	jun	PROPN
fcis-25930	231	21	.	.	PROPN
fcis-25930	231	22	2021	2021	NUM
fcis-25930	231	23	,	,	PUNCT
fcis-25930	231	24	https://doi.org/	https://doi.org/	VERB
fcis-25930	231	25	10.36227/	10.36227/	NUM
fcis-25930	231	26	techrxiv	techrxiv	NOUN
fcis-25930	231	27	.	.	PUNCT
fcis-25930	231	28	14845212	14845212	NUM
fcis-25930	231	29	.	.	PUNCT
fcis-25930	232	1	[	[	X
fcis-25930	232	2	35	35	NUM
fcis-25930	232	3	]	]	X
fcis-25930	232	4	c.	c.	PROPN
fcis-25930	232	5	wang	wang	PROPN
fcis-25930	232	6	et	et	PROPN
fcis-25930	232	7	al	al	PROPN
fcis-25930	232	8	.	.	PROPN
fcis-25930	232	9	,	,	PUNCT
fcis-25930	232	10	"	"	PUNCT
fcis-25930	232	11	robust	robust	ADJ
fcis-25930	232	12	text	text	NOUN
fcis-25930	232	13	-	-	PUNCT
fcis-25930	232	14	to	to	ADP
fcis-25930	232	15	-	-	PUNCT
fcis-25930	232	16	sql	sql	NOUN
fcis-25930	232	17	generation	generation	NOUN
fcis-25930	232	18	with	with	ADP
fcis-25930	232	19	execution	execution	NOUN
fcis-25930	232	20	-	-	PUNCT
fcis-25930	232	21	guided	guide	VERB
fcis-25930	232	22	decoding	decoding	NOUN
fcis-25930	232	23	,	,	PUNCT
fcis-25930	232	24	"	"	PUNCT
fcis-25930	232	25	cornell	cornell	PROPN
fcis-25930	232	26	university	university	NOUN
fcis-25930	232	27	,	,	PUNCT
fcis-25930	232	28	1	1	NUM
fcis-25930	232	29	jan	jan	PROPN
fcis-25930	232	30	.	.	PROPN
fcis-25930	232	31	2018	2018	NUM
fcis-25930	232	32	,	,	PUNCT
fcis-25930	232	33	https://doi.org/10.48550/arxiv.1807	https://doi.org/10.48550/arxiv.1807	VERB
fcis-25930	232	34	..	..	PUNCT
fcis-25930	233	1	[	[	X
fcis-25930	233	2	36	36	NUM
fcis-25930	233	3	]	]	PUNCT
fcis-25930	233	4	m.	m.	NOUN
fcis-25930	233	5	ghali	ghali	PROPN
fcis-25930	233	6	et	et	PROPN
fcis-25930	233	7	al	al	PROPN
fcis-25930	233	8	.	.	PROPN
fcis-25930	233	9	,	,	PUNCT
fcis-25930	233	10	"	"	PUNCT
fcis-25930	233	11	enhancing	enhance	VERB
fcis-25930	233	12	knowledge	knowledge	NOUN
fcis-25930	233	13	retrieval	retrieval	NOUN
fcis-25930	233	14	with	with	ADP
fcis-25930	233	15	incontext	incontext	NOUN
fcis-25930	233	16	learning	learning	NOUN
fcis-25930	233	17	and	and	CCONJ
fcis-25930	233	18	semantic	semantic	ADJ
fcis-25930	233	19	search	search	NOUN
fcis-25930	233	20	through	through	ADP
fcis-25930	233	21	generative	generative	ADJ
fcis-25930	233	22	ai	ai	NOUN
fcis-25930	233	23	,	,	PUNCT
fcis-25930	233	24	"	"	PUNCT
fcis-25930	233	25	cornell	cornell	PROPN
fcis-25930	233	26	university	university	NOUN
fcis-25930	233	27	,	,	PUNCT
fcis-25930	233	28	13	13	NUM
fcis-25930	233	29	jun	jun	PROPN
fcis-25930	233	30	.	.	PROPN
fcis-25930	233	31	2024	2024	NUM
fcis-25930	233	32	,	,	PUNCT
fcis-25930	233	33	https://doi.org/	https://doi.org/	VERB
fcis-25930	233	34	10.4	10.4	NUM
fcis-25930	233	35	8550/	8550/	NUM
fcis-25930	233	36	arxiv.2406	arxiv.2406	PROPN
fcis-25930	233	37	..	..	PUNCT
fcis-25930	234	1	[	[	X
fcis-25930	234	2	37	37	NUM
fcis-25930	234	3	]	]	PUNCT
fcis-25930	234	4	s.	s.	PROPN
fcis-25930	234	5	arnold	arnold	PROPN
fcis-25930	234	6	et	et	PROPN
fcis-25930	234	7	al	al	PROPN
fcis-25930	234	8	.	.	PROPN
fcis-25930	234	9	,	,	PUNCT
fcis-25930	234	10	"	"	PUNCT
fcis-25930	234	11	resolving	resolve	VERB
fcis-25930	234	12	common	common	ADJ
fcis-25930	234	13	analytical	analytical	ADJ
fcis-25930	234	14	tasks	task	NOUN
fcis-25930	234	15	in	in	ADP
fcis-25930	234	16	text	text	NOUN
fcis-25930	234	17	databases	database	NOUN
fcis-25930	234	18	,	,	PUNCT
fcis-25930	234	19	"	"	PUNCT
fcis-25930	234	20	22	22	NUM
fcis-25930	234	21	oct	oct	PROPN
fcis-25930	234	22	.	.	PROPN
fcis-25930	234	23	2015	2015	NUM
fcis-25930	234	24	,	,	PUNCT
fcis-25930	234	25	https://doi.org/10	https://doi.org/10	PROPN
fcis-25930	234	26	.	.	PROPN
fcis-25930	234	27	1145/	1145/	NUM
fcis-25930	234	28	2811222	2811222	NUM
fcis-25930	234	29	.	.	PUNCT
fcis-25930	235	1	2811224	2811224	NUM
fcis-25930	235	2	.	.	PUNCT
fcis-25930	236	1	[	[	X
fcis-25930	236	2	38	38	NUM
fcis-25930	236	3	]	]	PUNCT
fcis-25930	236	4	a.	a.	NOUN
fcis-25930	236	5	abdallah	abdallah	PROPN
fcis-25930	236	6	and	and	CCONJ
fcis-25930	236	7	a.	a.	NOUN
fcis-25930	236	8	jatowt	jatowt	PROPN
fcis-25930	236	9	,	,	PUNCT
fcis-25930	236	10	"	"	PUNCT
fcis-25930	236	11	generator	generator	NOUN
fcis-25930	236	12	-	-	PUNCT
fcis-25930	236	13	retriever	retriever	NOUN
fcis-25930	236	14	-	-	PUNCT
fcis-25930	236	15	generator	generator	NOUN
fcis-25930	236	16	:	:	PUNCT
fcis-25930	236	17	a	a	DET
fcis-25930	236	18	novel	novel	ADJ
fcis-25930	236	19	approach	approach	NOUN
fcis-25930	236	20	to	to	ADP
fcis-25930	236	21	open	open	ADJ
fcis-25930	236	22	-	-	PUNCT
fcis-25930	236	23	domain	domain	NOUN
fcis-25930	236	24	question	question	NOUN
fcis-25930	236	25	answering	answering	NOUN
fcis-25930	236	26	,	,	PUNCT
fcis-25930	236	27	"	"	PUNCT
fcis-25930	236	28	cornell	cornell	PROPN
fcis-25930	236	29	university	university	NOUN
fcis-25930	236	30	,	,	PUNCT
fcis-25930	236	31	1	1	NUM
fcis-25930	236	32	jan	jan	PROPN
fcis-25930	236	33	.	.	PROPN
fcis-25930	236	34	2023	2023	NUM
fcis-25930	236	35	,	,	PUNCT
fcis-25930	236	36	https://doi.org/	https://doi.org/	VERB
fcis-25930	236	37	10.48550/	10.48550/	NUM
fcis-25930	236	38	arxiv.2307	arxiv.2307	X
fcis-25930	236	39	.	.	PUNCT
fcis-25930	237	1	[	[	X
fcis-25930	237	2	39	39	NUM
fcis-25930	237	3	]	]	PUNCT
fcis-25930	237	4	g.	g.	PROPN
fcis-25930	237	5	aguilar	aguilar	PROPN
fcis-25930	237	6	et	et	PROPN
fcis-25930	237	7	al	al	PROPN
fcis-25930	237	8	.	.	PROPN
fcis-25930	237	9	,	,	PUNCT
fcis-25930	237	10	"	"	PUNCT
fcis-25930	237	11	modeling	model	VERB
fcis-25930	237	12	noisiness	noisiness	NOUN
fcis-25930	237	13	to	to	PART
fcis-25930	237	14	recognize	recognize	VERB
fcis-25930	237	15	named	name	VERB
fcis-25930	237	16	entities	entity	NOUN
fcis-25930	237	17	using	use	VERB
fcis-25930	237	18	multitask	multitask	ADJ
fcis-25930	237	19	neural	neural	ADJ
fcis-25930	237	20	networks	network	NOUN
fcis-25930	237	21	on	on	ADP
fcis-25930	237	22	social	social	ADJ
fcis-25930	237	23	media	medium	NOUN
fcis-25930	237	24	,	,	PUNCT
fcis-25930	237	25	"	"	PUNCT
fcis-25930	237	26	1	1	NUM
fcis-25930	237	27	jan	jan	PROPN
fcis-25930	237	28	.	.	PROPN
fcis-25930	237	29	2018	2018	NUM
fcis-25930	237	30	,	,	PUNCT
fcis-25930	237	31	https://doi.org/10.18653/v1/n18-1127	https://doi.org/10.18653/v1/n18-1127	NOUN
fcis-25930	237	32	.	.	PUNCT
fcis-25930	238	1	[	[	X
fcis-25930	238	2	40	40	NUM
fcis-25930	238	3	]	]	PUNCT
fcis-25930	238	4	r.	r.	PROPN
fcis-25930	238	5	t.	t.	PROPN
fcis-25930	238	6	kasenchak	kasenchak	PROPN
fcis-25930	238	7	,	,	PUNCT
fcis-25930	238	8	"	"	PUNCT
fcis-25930	238	9	what	what	PRON
fcis-25930	238	10	is	be	AUX
fcis-25930	238	11	semantic	semantic	ADJ
fcis-25930	238	12	search	search	NOUN
fcis-25930	238	13	?	?	PUNCT
fcis-25930	239	1	and	and	CCONJ
fcis-25930	239	2	why	why	SCONJ
fcis-25930	239	3	is	be	AUX
fcis-25930	239	4	it	it	PRON
fcis-25930	239	5	important	important	ADJ
fcis-25930	239	6	?	?	PUNCT
fcis-25930	239	7	,	,	PUNCT
fcis-25930	239	8	"	"	PUNCT
fcis-25930	239	9	ios	ios	PROPN
fcis-25930	239	10	press	press	NOUN
fcis-25930	239	11	,	,	PUNCT
fcis-25930	239	12	vol	vol	NOUN
fcis-25930	239	13	.	.	PROPN
fcis-25930	239	14	39	39	NUM
fcis-25930	239	15	,	,	PUNCT
fcis-25930	239	16	no	no	INTJ
fcis-25930	239	17	.	.	NOUN
fcis-25930	239	18	3	3	NUM
fcis-25930	239	19	,	,	PUNCT
fcis-25930	239	20	13	13	NUM
fcis-25930	239	21	dec	dec	PROPN
fcis-25930	239	22	.	.	PROPN
fcis-25930	239	23	2019	2019	NUM
fcis-25930	239	24	,	,	PUNCT
fcis-25930	239	25	pp	pp	ADJ
fcis-25930	239	26	.	.	PUNCT
fcis-25930	239	27	205213	205213	NUM
fcis-25930	239	28	,	,	PUNCT
fcis-25930	239	29	https://doi.org/10.3233/isu-190045	https://doi.org/10.3233/isu-190045	ADJ
fcis-25930	239	30	.	.	PUNCT
fcis-25930	240	1	[	[	X
fcis-25930	240	2	41	41	NUM
fcis-25930	240	3	]	]	X
fcis-25930	240	4	r.	r.	PROPN
fcis-25930	240	5	cavill	cavill	PROPN
fcis-25930	240	6	et	et	PROPN
fcis-25930	240	7	al	al	PROPN
fcis-25930	240	8	.	.	PROPN
fcis-25930	240	9	,	,	PUNCT
fcis-25930	240	10	"	"	PUNCT
fcis-25930	240	11	transcriptomic	transcriptomic	ADJ
fcis-25930	240	12	and	and	CCONJ
fcis-25930	240	13	metabolomic	metabolomic	ADJ
fcis-25930	240	14	data	datum	NOUN
fcis-25930	240	15	integration	integration	NOUN
fcis-25930	240	16	,	,	PUNCT
fcis-25930	240	17	"	"	PUNCT
fcis-25930	240	18	oxford	oxford	PROPN
fcis-25930	240	19	university	university	PROPN
fcis-25930	240	20	press	press	NOUN
fcis-25930	240	21	,	,	PUNCT
fcis-25930	240	22	vol	vol	NOUN
fcis-25930	240	23	.	.	PROPN
fcis-25930	240	24	17	17	NUM
fcis-25930	240	25	,	,	PUNCT
fcis-25930	240	26	no	no	INTJ
fcis-25930	240	27	.	.	NOUN
fcis-25930	240	28	5	5	NUM
fcis-25930	240	29	,	,	PUNCT
fcis-25930	240	30	14	14	NUM
fcis-25930	240	31	oct	oct	NOUN
fcis-25930	240	32	.	.	PROPN
fcis-25930	240	33	2015	2015	NUM
fcis-25930	240	34	,	,	PUNCT
fcis-25930	240	35	pp	pp	ADV
fcis-25930	240	36	.	.	PUNCT
fcis-25930	240	37	891	891	NUM
fcis-25930	240	38	-	-	SYM
fcis-25930	240	39	901	901	NUM
fcis-25930	240	40	,	,	PUNCT
fcis-25930	240	41	https://doi.org/10.1093/bib/bbv090	https://doi.org/10.1093/bib/bbv090	PROPN
fcis-25930	240	42	.	.	PUNCT
fcis-25930	241	1	[	[	X
fcis-25930	241	2	42	42	NUM
fcis-25930	241	3	]	]	X
fcis-25930	241	4	w.	w.	PROPN
fcis-25930	241	5	yu	yu	PROPN
fcis-25930	241	6	et	et	PROPN
fcis-25930	241	7	al	al	PROPN
fcis-25930	241	8	.	.	PROPN
fcis-25930	241	9	,	,	PUNCT
fcis-25930	241	10	"	"	PUNCT
fcis-25930	241	11	a	a	DET
fcis-25930	241	12	survey	survey	NOUN
fcis-25930	241	13	of	of	ADP
fcis-25930	241	14	knowledge	knowledge	NOUN
fcis-25930	241	15	-	-	PUNCT
fcis-25930	241	16	enhanced	enhance	VERB
fcis-25930	241	17	text	text	NOUN
fcis-25930	241	18	generation	generation	NOUN
fcis-25930	241	19	,	,	PUNCT
fcis-25930	241	20	"	"	PUNCT
fcis-25930	241	21	association	association	NOUN
fcis-25930	241	22	for	for	ADP
fcis-25930	241	23	computing	computing	NOUN
fcis-25930	241	24	machinery	machinery	NOUN
fcis-25930	241	25	,	,	PUNCT
fcis-25930	241	26	vol	vol	NOUN
fcis-25930	241	27	.	.	PROPN
fcis-25930	241	28	54	54	NUM
fcis-25930	241	29	,	,	PUNCT
fcis-25930	241	30	no	no	INTJ
fcis-25930	241	31	.	.	NOUN
fcis-25930	241	32	11s	11s	NUM
fcis-25930	241	33	,	,	PUNCT
fcis-25930	241	34	31	31	NUM
fcis-25930	241	35	jan	jan	PROPN
fcis-25930	241	36	.	.	PROPN
fcis-25930	241	37	2022	2022	NUM
fcis-25930	241	38	,	,	PUNCT
fcis-25930	241	39	pp	pp	ADJ
fcis-25930	241	40	.	.	PUNCT
fcis-25930	242	1	1	1	NUM
fcis-25930	242	2	-	-	SYM
fcis-25930	242	3	38	38	NUM
fcis-25930	242	4	,	,	PUNCT
fcis-25930	242	5	https://doi.org/	https://doi.org/	VERB
fcis-25930	242	6	10.1145/	10.1145/	NUM
fcis-25930	242	7	3512467	3512467	NUM
fcis-25930	242	8	.	.	PUNCT
fcis-25930	243	1	[	[	X
fcis-25930	243	2	43	43	NUM
fcis-25930	243	3	]	]	X
fcis-25930	243	4	n.	n.	PROPN
fcis-25930	243	5	raman	raman	NOUN
fcis-25930	243	6	and	and	CCONJ
fcis-25930	243	7	s.	s.	PROPN
fcis-25930	243	8	shah	shah	PROPN
fcis-25930	243	9	,	,	PUNCT
fcis-25930	243	10	"	"	PUNCT
fcis-25930	243	11	synthetic	synthetic	ADJ
fcis-25930	243	12	text	text	NOUN
fcis-25930	243	13	generation	generation	NOUN
fcis-25930	243	14	using	use	VERB
fcis-25930	243	15	hypergraph	hypergraph	NOUN
fcis-25930	243	16	representations	representation	NOUN
fcis-25930	243	17	,	,	PUNCT
fcis-25930	243	18	"	"	PUNCT
fcis-25930	243	19	cornell	cornell	PROPN
fcis-25930	243	20	university	university	NOUN
fcis-25930	243	21	,	,	PUNCT
fcis-25930	243	22	1	1	NUM
fcis-25930	243	23	jan	jan	PROPN
fcis-25930	243	24	.	.	PROPN
fcis-25930	243	25	2023	2023	NUM
fcis-25930	243	26	,	,	PUNCT
fcis-25930	243	27	https://doi.org/10.48550/arxiv.2309	https://doi.org/10.48550/arxiv.2309	NOUN
fcis-25930	243	28	..	..	PUNCT
fcis-25930	244	1	[	[	X
fcis-25930	244	2	44	44	NUM
fcis-25930	244	3	]	]	PUNCT
fcis-25930	244	4	h.	h.	PROPN
fcis-25930	244	5	h.	h.	PROPN
fcis-25930	244	6	lee	lee	PROPN
fcis-25930	244	7	et	et	PROPN
fcis-25930	244	8	al	al	PROPN
fcis-25930	244	9	.	.	PROPN
fcis-25930	244	10	,	,	PUNCT
fcis-25930	244	11	"	"	PUNCT
fcis-25930	244	12	recipegpt	recipegpt	NOUN
fcis-25930	244	13	:	:	PUNCT
fcis-25930	244	14	generative	generative	ADJ
fcis-25930	244	15	pre	pre	ADJ
fcis-25930	244	16	-	-	ADJ
fcis-25930	244	17	training	training	ADJ
fcis-25930	244	18	based	base	VERB
fcis-25930	244	19	cooking	cooking	NOUN
fcis-25930	244	20	recipe	recipe	NOUN
fcis-25930	244	21	generation	generation	NOUN
fcis-25930	244	22	and	and	CCONJ
fcis-25930	244	23	evaluation	evaluation	NOUN
fcis-25930	244	24	system	system	NOUN
fcis-25930	244	25	,	,	PUNCT
fcis-25930	244	26	"	"	PUNCT
fcis-25930	244	27	20	20	NUM
fcis-25930	244	28	apr	apr	NOUN
fcis-25930	244	29	.	.	PUNCT
fcis-25930	245	1	2020	2020	NUM
fcis-25930	245	2	,	,	PUNCT
fcis-25930	245	3	https://doi.org/10.1145/3366424.3383536	https://doi.org/10.1145/3366424.3383536	NOUN
fcis-25930	245	4	.	.	PUNCT
fcis-25930	246	1	[	[	X
fcis-25930	246	2	45	45	NUM
fcis-25930	246	3	]	]	PUNCT
fcis-25930	246	4	h.	h.	PROPN
fcis-25930	246	5	li	li	PROPN
fcis-25930	246	6	et	et	PROPN
fcis-25930	246	7	al	al	PROPN
fcis-25930	246	8	.	.	PROPN
fcis-25930	246	9	,	,	PUNCT
fcis-25930	246	10	"	"	PUNCT
fcis-25930	246	11	a	a	DET
fcis-25930	246	12	survey	survey	NOUN
fcis-25930	246	13	on	on	ADP
fcis-25930	246	14	retrieval	retrieval	NOUN
fcis-25930	246	15	-	-	PUNCT
fcis-25930	246	16	augmented	augment	VERB
fcis-25930	246	17	text	text	NOUN
fcis-25930	246	18	generation	generation	NOUN
fcis-25930	246	19	,	,	PUNCT
fcis-25930	246	20	"	"	PUNCT
fcis-25930	246	21	cornell	cornell	PROPN
fcis-25930	246	22	university	university	NOUN
fcis-25930	246	23	,	,	PUNCT
fcis-25930	246	24	1	1	NUM
fcis-25930	246	25	jan	jan	PROPN
fcis-25930	246	26	.	.	PROPN
fcis-25930	246	27	2022	2022	NUM
fcis-25930	246	28	,	,	PUNCT
fcis-25930	246	29	https://doi.org/10	https://doi.org/10	PROPN
fcis-25930	246	30	.	.	PUNCT
fcis-25930	247	1	48550/	48550/	NUM
fcis-25930	248	1	arxiv.2202	arxiv.2202	PROPN
fcis-25930	248	2	..	..	PUNCT
fcis-25930	249	1	[	[	X
fcis-25930	249	2	46	46	NUM
fcis-25930	249	3	]	]	PUNCT
fcis-25930	250	1	r.	r.	PROPN
fcis-25930	250	2	p.	p.	PROPN
fcis-25930	250	3	zhao	zhao	PROPN
fcis-25930	250	4	et	et	PROPN
fcis-25930	251	1	al	al	PROPN
fcis-25930	251	2	.	.	PROPN
fcis-25930	251	3	,	,	PUNCT
fcis-25930	251	4	"	"	PUNCT
fcis-25930	251	5	retrieving	retrieve	VERB
fcis-25930	251	6	multimodal	multimodal	ADJ
fcis-25930	251	7	information	information	NOUN
fcis-25930	251	8	for	for	ADP
fcis-25930	251	9	augmented	augmented	ADJ
fcis-25930	251	10	generation	generation	NOUN
fcis-25930	251	11	:	:	PUNCT
fcis-25930	251	12	a	a	DET
fcis-25930	251	13	survey	survey	NOUN
fcis-25930	251	14	,	,	PUNCT
fcis-25930	251	15	"	"	PUNCT
fcis-25930	251	16	cornell	cornell	PROPN
fcis-25930	251	17	university	university	NOUN
fcis-25930	251	18	,	,	PUNCT
fcis-25930	251	19	1	1	NUM
fcis-25930	251	20	jan	jan	PROPN
fcis-25930	251	21	.	.	PROPN
fcis-25930	251	22	2023	2023	NUM
fcis-25930	251	23	,	,	PUNCT
fcis-25930	251	24	https://doi.org/10.48550/arxiv.2303.10868	https://doi.org/10.48550/arxiv.2303.10868	PROPN
fcis-25930	251	25	.	.	PUNCT
fcis-25930	252	1	[	[	X
fcis-25930	252	2	47	47	NUM
fcis-25930	252	3	]	]	PUNCT
fcis-25930	252	4	s.	s.	PROPN
fcis-25930	252	5	ahn	ahn	PROPN
fcis-25930	252	6	et	et	PROPN
fcis-25930	252	7	al	al	PROPN
fcis-25930	252	8	.	.	PROPN
fcis-25930	252	9	,	,	PUNCT
fcis-25930	252	10	"	"	PUNCT
fcis-25930	252	11	a	a	DET
fcis-25930	252	12	neural	neural	ADJ
fcis-25930	252	13	knowledge	knowledge	NOUN
fcis-25930	252	14	language	language	NOUN
fcis-25930	252	15	model	model	NOUN
fcis-25930	252	16	,	,	PUNCT
fcis-25930	252	17	"	"	PUNCT
fcis-25930	252	18	cornell	cornell	PROPN
fcis-25930	252	19	university	university	NOUN
fcis-25930	252	20	,	,	PUNCT
fcis-25930	252	21	1	1	NUM
fcis-25930	252	22	jan	jan	PROPN
fcis-25930	252	23	.	.	PROPN
fcis-25930	252	24	2016	2016	NUM
fcis-25930	252	25	,	,	PUNCT
fcis-25930	252	26	https://doi.org/	https://doi.org/	VERB
fcis-25930	252	27	10.48550/	10.48550/	PROPN
fcis-25930	252	28	arxiv	arxiv	NOUN
fcis-25930	252	29	.	.	PUNCT
fcis-25930	253	1	1608	1608	NUM
fcis-25930	253	2	.	.	PUNCT
fcis-25930	254	1	00318	00318	NUM
fcis-25930	254	2	.	.	PUNCT
fcis-25930	255	1	[	[	X
fcis-25930	255	2	48	48	NUM
fcis-25930	255	3	]	]	PUNCT
fcis-25930	255	4	w.	w.	PROPN
fcis-25930	255	5	fedus	fedus	PROPN
fcis-25930	255	6	et	et	PROPN
fcis-25930	255	7	al	al	PROPN
fcis-25930	255	8	.	.	PROPN
fcis-25930	255	9	,	,	PUNCT
fcis-25930	255	10	"	"	PUNCT
fcis-25930	255	11	maskgan	maskgan	NOUN
fcis-25930	255	12	:	:	PUNCT
fcis-25930	255	13	better	well	ADJ
fcis-25930	255	14	text	text	NOUN
fcis-25930	255	15	generation	generation	NOUN
fcis-25930	255	16	via	via	ADP
fcis-25930	255	17	filling	fill	VERB
fcis-25930	255	18	in	in	ADP
fcis-25930	255	19	the	the	DET
fcis-25930	255	20	_	_	NOUN
fcis-25930	255	21	_	_	PUNCT
fcis-25930	256	1	_	_	PUNCT
fcis-25930	257	1	_	_	PUNCT
fcis-25930	258	1	_	_	PUNCT
fcis-25930	259	1	_	_	PUNCT
fcis-25930	259	2	,	,	PUNCT
fcis-25930	259	3	"	"	PUNCT
fcis-25930	259	4	cornell	cornell	PROPN
fcis-25930	259	5	university	university	NOUN
fcis-25930	259	6	,	,	PUNCT
fcis-25930	259	7	1	1	NUM
fcis-25930	259	8	jan	jan	PROPN
fcis-25930	259	9	.	.	PROPN
fcis-25930	259	10	2018	2018	NUM
fcis-25930	259	11	,	,	PUNCT
fcis-25930	259	12	https://doi	https://doi	X
fcis-25930	259	13	.	.	PUNCT
fcis-25930	260	1	org/	org/	PRON
fcis-25930	260	2	10	10	NUM
fcis-25930	260	3	.	.	PUNCT
fcis-25930	261	1	48550/	48550/	NUM
fcis-25930	261	2	arxiv.1801.07736	arxiv.1801.07736	NOUN
fcis-25930	261	3	.	.	PUNCT
fcis-25930	262	1	[	[	X
fcis-25930	262	2	49	49	NUM
fcis-25930	262	3	]	]	PUNCT
fcis-25930	262	4	a.	a.	NOUN
fcis-25930	262	5	sauer	sauer	PROPN
fcis-25930	262	6	et	et	PROPN
fcis-25930	262	7	al	al	PROPN
fcis-25930	262	8	.	.	PROPN
fcis-25930	262	9	,	,	PUNCT
fcis-25930	262	10	"	"	PUNCT
fcis-25930	262	11	stylegan	stylegan	NOUN
fcis-25930	262	12	-	-	PUNCT
fcis-25930	262	13	t	t	NOUN
fcis-25930	262	14	:	:	PUNCT
fcis-25930	262	15	unlocking	unlock	VERB
fcis-25930	262	16	the	the	DET
fcis-25930	262	17	power	power	NOUN
fcis-25930	262	18	of	of	ADP
fcis-25930	262	19	gans	gan	NOUN
fcis-25930	262	20	for	for	ADP
fcis-25930	262	21	fast	fast	ADJ
fcis-25930	262	22	large	large	ADJ
fcis-25930	262	23	-	-	PUNCT
fcis-25930	262	24	scale	scale	NOUN
fcis-25930	262	25	text	text	NOUN
fcis-25930	262	26	-	-	PUNCT
fcis-25930	262	27	to	to	ADP
fcis-25930	262	28	-	-	PUNCT
fcis-25930	262	29	image	image	NOUN
fcis-25930	262	30	synthesis	synthesis	NOUN
fcis-25930	262	31	,	,	PUNCT
fcis-25930	262	32	"	"	PUNCT
fcis-25930	262	33	cornell	cornell	PROPN
fcis-25930	262	34	university	university	NOUN
fcis-25930	262	35	,	,	PUNCT
fcis-25930	262	36	1	1	NUM
fcis-25930	262	37	jan	jan	PROPN
fcis-25930	262	38	.	.	PROPN
fcis-25930	262	39	2023	2023	NUM
fcis-25930	262	40	,	,	PUNCT
fcis-25930	262	41	https://doi.org/10.48550/arxiv.2301	https://doi.org/10.48550/arxiv.2301	X
fcis-25930	262	42	..	..	PUNCT
fcis-25930	263	1	[	[	X
fcis-25930	263	2	50	50	NUM
fcis-25930	263	3	]	]	PUNCT
fcis-25930	263	4	"	"	PUNCT
fcis-25930	263	5	semantic	semantic	ADJ
fcis-25930	263	6	indexes	index	NOUN
fcis-25930	263	7	for	for	ADP
fcis-25930	263	8	machine	machine	NOUN
fcis-25930	263	9	learning	learning	NOUN
fcis-25930	263	10	-	-	PUNCT
fcis-25930	263	11	based	base	VERB
fcis-25930	263	12	queries	query	NOUN
fcis-25930	263	13	over	over	ADP
fcis-25930	263	14	unstructured	unstructured	ADJ
fcis-25930	263	15	data	datum	NOUN
fcis-25930	263	16	*	*	PUNCT
fcis-25930	263	17	,	,	PUNCT
fcis-25930	263	18	"	"	PUNCT
fcis-25930	263	19	https://ddkang	https://ddkang	X
fcis-25930	263	20	.	.	PROPN
fcis-25930	263	21	github.io/	github.io/	PROPN
fcis-25930	263	22	papers/	papers/	NUM
fcis-25930	263	23	2022/	2022/	NUM
fcis-25930	263	24	tasti-paper.pdf	tasti-paper.pdf	NOUN
fcis-25930	263	25	.	.	PUNCT
fcis-25930	264	1	[	[	X
fcis-25930	264	2	51	51	NUM
fcis-25930	264	3	]	]	PUNCT
fcis-25930	264	4	a.	a.	PROPN
fcis-25930	264	5	chaudhary	chaudhary	PROPN
fcis-25930	264	6	et	et	PROPN
fcis-25930	264	7	al	al	PROPN
fcis-25930	264	8	.	.	PROPN
fcis-25930	264	9	,	,	PUNCT
fcis-25930	264	10	"	"	PUNCT
fcis-25930	264	11	exploring	explore	VERB
fcis-25930	264	12	the	the	DET
fcis-25930	264	13	viability	viability	NOUN
fcis-25930	264	14	of	of	ADP
fcis-25930	264	15	synthetic	synthetic	ADJ
fcis-25930	264	16	query	query	NOUN
fcis-25930	264	17	generation	generation	NOUN
fcis-25930	264	18	for	for	ADP
fcis-25930	264	19	relevance	relevance	NOUN
fcis-25930	264	20	prediction	prediction	NOUN
fcis-25930	264	21	,	,	PUNCT
fcis-25930	264	22	"	"	PUNCT
fcis-25930	264	23	cornell	cornell	PROPN
fcis-25930	264	24	university	university	NOUN
fcis-25930	264	25	,	,	PUNCT
fcis-25930	264	26	1	1	NUM
fcis-25930	264	27	jan	jan	PROPN
fcis-25930	264	28	.	.	PROPN
fcis-25930	264	29	2023	2023	NUM
fcis-25930	264	30	,	,	PUNCT
fcis-25930	264	31	https://doi.org/10.48550/	https://doi.org/10.48550/	PROPN
fcis-25930	264	32	arxiv	arxiv	NOUN
fcis-25930	264	33	.	.	PUNCT
fcis-25930	265	1	2305.11944	2305.11944	X
fcis-25930	265	2	.	.	PUNCT
fcis-25930	266	1	[	[	X
fcis-25930	266	2	52	52	NUM
fcis-25930	266	3	]	]	PUNCT
fcis-25930	266	4	j.	j.	PROPN
fcis-25930	266	5	li	li	PROPN
fcis-25930	266	6	et	et	PROPN
fcis-25930	266	7	al	al	PROPN
fcis-25930	266	8	.	.	PROPN
fcis-25930	266	9	,	,	PUNCT
fcis-25930	266	10	"	"	PUNCT
fcis-25930	266	11	graph	graph	NOUN
fcis-25930	266	12	enhanced	enhance	VERB
fcis-25930	266	13	bert	bert	NOUN
fcis-25930	266	14	for	for	ADP
fcis-25930	266	15	query	query	NOUN
fcis-25930	266	16	understanding	understanding	NOUN
fcis-25930	266	17	,	,	PUNCT
fcis-25930	266	18	"	"	PUNCT
fcis-25930	266	19	cornell	cornell	PROPN
fcis-25930	266	20	university	university	NOUN
fcis-25930	266	21	,	,	PUNCT
fcis-25930	266	22	1	1	NUM
fcis-25930	266	23	jan	jan	PROPN
fcis-25930	266	24	.	.	PROPN
fcis-25930	266	25	2022	2022	NUM
fcis-25930	266	26	,	,	PUNCT
fcis-25930	266	27	https://doi.org/	https://doi.org/	VERB
fcis-25930	266	28	10.48550/	10.48550/	NUM
fcis-25930	266	29	arxiv	arxiv	NOUN
fcis-25930	266	30	.	.	PUNCT
fcis-25930	267	1	2204	2204	NUM
fcis-25930	267	2	..	..	PUNCT
fcis-25930	268	1	[	[	X
fcis-25930	268	2	53	53	NUM
fcis-25930	268	3	]	]	PUNCT
fcis-25930	268	4	h.	h.	PROPN
fcis-25930	268	5	xiong	xiong	PROPN
fcis-25930	268	6	and	and	CCONJ
fcis-25930	268	7	r.	r.	PROPN
fcis-25930	268	8	sun	sun	PROPN
fcis-25930	268	9	,	,	PUNCT
fcis-25930	268	10	"	"	PUNCT
fcis-25930	268	11	transferable	transferable	ADJ
fcis-25930	268	12	natural	natural	ADJ
fcis-25930	268	13	language	language	NOUN
fcis-25930	268	14	interface	interface	NOUN
fcis-25930	268	15	to	to	ADP
fcis-25930	268	16	structured	structured	ADJ
fcis-25930	268	17	queries	query	NOUN
fcis-25930	268	18	aided	aid	VERB
fcis-25930	268	19	by	by	ADP
fcis-25930	268	20	adversarial	adversarial	ADJ
fcis-25930	268	21	generation	generation	NOUN
fcis-25930	268	22	,	,	PUNCT
fcis-25930	268	23	"	"	PUNCT
fcis-25930	268	24	cornell	cornell	PROPN
fcis-25930	268	25	university	university	NOUN
fcis-25930	268	26	,	,	PUNCT
fcis-25930	268	27	1	1	NUM
fcis-25930	268	28	jan	jan	PROPN
fcis-25930	268	29	.	.	PROPN
fcis-25930	268	30	2018	2018	NUM
fcis-25930	268	31	,	,	PUNCT
fcis-25930	268	32	https://doi.org/	https://doi.org/	VERB
fcis-25930	268	33	10.48550/	10.48550/	NUM
fcis-25930	268	34	arxiv.1812.01245	arxiv.1812.01245	NOUN
fcis-25930	268	35	.	.	PUNCT