id	sid	tid	token	lemma	pos
fcis-9941	1	1	frontiers	frontier	NOUN
fcis-9941	1	2	in	in	ADP
fcis-9941	1	3	computing	computing	NOUN
fcis-9941	1	4	and	and	CCONJ
fcis-9941	1	5	intelligent	intelligent	ADJ
fcis-9941	1	6	systems	system	NOUN
fcis-9941	1	7	issn	issn	VERB
fcis-9941	1	8	:	:	PUNCT
fcis-9941	1	9	2832	2832	NUM
fcis-9941	1	10	-	-	SYM
fcis-9941	1	11	6024	6024	NUM
fcis-9941	1	12	|	|	NOUN
fcis-9941	1	13	vol	vol	NOUN
fcis-9941	1	14	.	.	PROPN
fcis-9941	2	1	4	4	NUM
fcis-9941	2	2	,	,	PUNCT
fcis-9941	2	3	no	no	INTJ
fcis-9941	2	4	.	.	NOUN
fcis-9941	2	5	2	2	NUM
fcis-9941	2	6	,	,	PUNCT
fcis-9941	2	7	2023	2023	NUM
fcis-9941	2	8	46	46	NUM
fcis-9941	2	9	a	a	DET
fcis-9941	2	10	survey	survey	NOUN
fcis-9941	2	11	of	of	ADP
fcis-9941	2	12	language	language	NOUN
fcis-9941	2	13	priors	prior	NOUN
fcis-9941	2	14	for	for	ADP
fcis-9941	2	15	visual	visual	ADJ
fcis-9941	2	16	question	question	NOUN
fcis-9941	2	17	answering	answer	VERB
fcis-9941	2	18	hantao	hantao	PROPN
fcis-9941	2	19	xu	xu	PROPN
fcis-9941	2	20	,	,	PUNCT
fcis-9941	2	21	xia	xia	PROPN
fcis-9941	2	22	ye	ye	PROPN
fcis-9941	2	23	,	,	PUNCT
fcis-9941	2	24	zhangping	zhangpe	VERB
fcis-9941	2	25	yang	yang	PROPN
fcis-9941	2	26	,	,	PUNCT
fcis-9941	2	27	pujie	pujie	PROPN
fcis-9941	2	28	zhao	zhao	PROPN
fcis-9941	2	29	academy	academy	PROPN
fcis-9941	2	30	of	of	ADP
fcis-9941	2	31	combat	combat	NOUN
fcis-9941	2	32	support	support	NOUN
fcis-9941	2	33	,	,	PUNCT
fcis-9941	2	34	rocket	rocket	NOUN
fcis-9941	2	35	force	force	NOUN
fcis-9941	2	36	university	university	PROPN
fcis-9941	2	37	of	of	ADP
fcis-9941	2	38	engineer	engineer	NOUN
fcis-9941	2	39	,	,	PUNCT
fcis-9941	2	40	xi’an	xi’an	PROPN
fcis-9941	2	41	710025	710025	NUM
fcis-9941	2	42	,	,	PUNCT
fcis-9941	2	43	china	china	PROPN
fcis-9941	2	44	abstract	abstract	NOUN
fcis-9941	2	45	:	:	PUNCT
fcis-9941	2	46	in	in	ADP
fcis-9941	2	47	recent	recent	ADJ
fcis-9941	2	48	years	year	NOUN
fcis-9941	2	49	,	,	PUNCT
fcis-9941	2	50	with	with	ADP
fcis-9941	2	51	the	the	DET
fcis-9941	2	52	development	development	NOUN
fcis-9941	2	53	of	of	ADP
fcis-9941	2	54	deep	deep	ADJ
fcis-9941	2	55	learning	learning	NOUN
fcis-9941	2	56	technology	technology	NOUN
fcis-9941	2	57	,	,	PUNCT
fcis-9941	2	58	visual	visual	ADJ
fcis-9941	2	59	question	question	NOUN
fcis-9941	2	60	answering	answering	NOUN
fcis-9941	2	61	tasks	task	NOUN
fcis-9941	2	62	have	have	AUX
fcis-9941	2	63	gradually	gradually	ADV
fcis-9941	2	64	attracted	attract	VERB
fcis-9941	2	65	the	the	DET
fcis-9941	2	66	attention	attention	NOUN
fcis-9941	2	67	of	of	ADP
fcis-9941	2	68	scientific	scientific	ADJ
fcis-9941	2	69	researchers	researcher	NOUN
fcis-9941	2	70	.	.	PUNCT
fcis-9941	3	1	due	due	ADP
fcis-9941	3	2	to	to	ADP
fcis-9941	3	3	the	the	DET
fcis-9941	3	4	continuous	continuous	ADJ
fcis-9941	3	5	improvement	improvement	NOUN
fcis-9941	3	6	of	of	ADP
fcis-9941	3	7	relevant	relevant	ADJ
fcis-9941	3	8	large	large	ADJ
fcis-9941	3	9	-	-	PUNCT
fcis-9941	3	10	scale	scale	NOUN
fcis-9941	3	11	standard	standard	ADJ
fcis-9941	3	12	data	data	NOUN
fcis-9941	3	13	sets	set	NOUN
fcis-9941	3	14	,	,	PUNCT
fcis-9941	3	15	a	a	DET
fcis-9941	3	16	large	large	ADJ
fcis-9941	3	17	number	number	NOUN
fcis-9941	3	18	of	of	ADP
fcis-9941	3	19	visual	visual	ADJ
fcis-9941	3	20	questions	question	NOUN
fcis-9941	3	21	answering	answer	VERB
fcis-9941	3	22	research	research	NOUN
fcis-9941	3	23	results	result	NOUN
fcis-9941	3	24	have	have	AUX
fcis-9941	3	25	been	be	AUX
fcis-9941	3	26	released	release	VERB
fcis-9941	3	27	one	one	NUM
fcis-9941	3	28	after	after	ADP
fcis-9941	3	29	another	another	PRON
fcis-9941	3	30	,	,	PUNCT
fcis-9941	3	31	and	and	CCONJ
fcis-9941	3	32	the	the	DET
fcis-9941	3	33	accuracy	accuracy	NOUN
fcis-9941	3	34	rate	rate	NOUN
fcis-9941	3	35	of	of	ADP
fcis-9941	3	36	the	the	DET
fcis-9941	3	37	visual	visual	ADJ
fcis-9941	3	38	question	question	NOUN
fcis-9941	3	39	answering	answer	VERB
fcis-9941	3	40	model	model	NOUN
fcis-9941	3	41	based	base	VERB
fcis-9941	3	42	on	on	ADP
fcis-9941	3	43	deep	deep	ADJ
fcis-9941	3	44	learning	learning	NOUN
fcis-9941	3	45	on	on	ADP
fcis-9941	3	46	the	the	DET
fcis-9941	3	47	data	data	NOUN
fcis-9941	3	48	set	set	NOUN
fcis-9941	3	49	has	have	AUX
fcis-9941	3	50	been	be	AUX
fcis-9941	3	51	continuously	continuously	ADV
fcis-9941	3	52	improved	improve	VERB
fcis-9941	3	53	.	.	PUNCT
fcis-9941	4	1	recent	recent	ADJ
fcis-9941	4	2	studies	study	NOUN
fcis-9941	4	3	have	have	AUX
fcis-9941	4	4	found	find	VERB
fcis-9941	4	5	that	that	SCONJ
fcis-9941	4	6	the	the	DET
fcis-9941	4	7	previously	previously	ADV
fcis-9941	4	8	proposed	propose	VERB
fcis-9941	4	9	visual	visual	ADJ
fcis-9941	4	10	question	question	NOUN
fcis-9941	4	11	answering	answering	NOUN
fcis-9941	4	12	model	model	NOUN
fcis-9941	4	13	has	have	VERB
fcis-9941	4	14	different	different	ADJ
fcis-9941	4	15	degrees	degree	NOUN
fcis-9941	4	16	of	of	ADP
fcis-9941	4	17	data	datum	NOUN
fcis-9941	4	18	set	set	VERB
fcis-9941	4	19	language	language	NOUN
fcis-9941	4	20	prior	prior	ADJ
fcis-9941	4	21	problems	problem	NOUN
fcis-9941	4	22	,	,	PUNCT
fcis-9941	4	23	that	that	ADV
fcis-9941	4	24	is	is	ADV
fcis-9941	4	25	,	,	PUNCT
fcis-9941	4	26	the	the	DET
fcis-9941	4	27	model	model	NOUN
fcis-9941	4	28	is	be	AUX
fcis-9941	4	29	overly	overly	ADV
fcis-9941	4	30	dependent	dependent	ADJ
fcis-9941	4	31	on	on	ADP
fcis-9941	4	32	the	the	DET
fcis-9941	4	33	strong	strong	ADJ
fcis-9941	4	34	phase	phase	NOUN
fcis-9941	4	35	between	between	ADP
fcis-9941	4	36	the	the	DET
fcis-9941	4	37	question	question	NOUN
fcis-9941	4	38	and	and	CCONJ
fcis-9941	4	39	the	the	DET
fcis-9941	4	40	answer	answer	NOUN
fcis-9941	4	41	in	in	ADP
fcis-9941	4	42	the	the	DET
fcis-9941	4	43	training	training	NOUN
fcis-9941	4	44	process	process	NOUN
fcis-9941	4	45	.	.	PUNCT
fcis-9941	5	1	many	many	ADJ
fcis-9941	5	2	articles	article	NOUN
fcis-9941	5	3	briefly	briefly	ADV
fcis-9941	5	4	describe	describe	VERB
fcis-9941	5	5	various	various	ADJ
fcis-9941	5	6	research	research	NOUN
fcis-9941	5	7	methods	method	NOUN
fcis-9941	5	8	,	,	PUNCT
fcis-9941	5	9	and	and	CCONJ
fcis-9941	5	10	look	look	VERB
fcis-9941	5	11	forward	forward	ADV
fcis-9941	5	12	to	to	ADP
fcis-9941	5	13	the	the	DET
fcis-9941	5	14	future	future	ADJ
fcis-9941	5	15	development	development	NOUN
fcis-9941	5	16	direction	direction	NOUN
fcis-9941	5	17	of	of	ADP
fcis-9941	5	18	alleviating	alleviate	VERB
fcis-9941	5	19	the	the	DET
fcis-9941	5	20	prior	prior	ADJ
fcis-9941	5	21	problem	problem	NOUN
fcis-9941	5	22	of	of	ADP
fcis-9941	5	23	visual	visual	ADJ
fcis-9941	5	24	question	question	NOUN
fcis-9941	5	25	answering	answering	NOUN
fcis-9941	5	26	based	base	VERB
fcis-9941	5	27	on	on	ADP
fcis-9941	5	28	the	the	DET
fcis-9941	5	29	existing	exist	VERB
fcis-9941	5	30	research	research	NOUN
fcis-9941	5	31	.	.	PUNCT
fcis-9941	6	1	keywords	keyword	NOUN
fcis-9941	6	2	:	:	PUNCT
fcis-9941	6	3	visual	visual	ADJ
fcis-9941	6	4	question	question	NOUN
fcis-9941	6	5	answering	answering	NOUN
fcis-9941	6	6	;	;	PUNCT
fcis-9941	6	7	multimodality	multimodality	NOUN
fcis-9941	6	8	;	;	PUNCT
fcis-9941	6	9	language	language	NOUN
fcis-9941	6	10	priors	prior	NOUN
fcis-9941	6	11	.	.	PUNCT
fcis-9941	7	1	1	1	X
fcis-9941	7	2	.	.	X
fcis-9941	7	3	introduction	introduction	NOUN
fcis-9941	7	4	visual	visual	ADJ
fcis-9941	7	5	question	question	NOUN
fcis-9941	7	6	answering	answering	NOUN
fcis-9941	7	7	(	(	PUNCT
fcis-9941	7	8	vqa	vqa	PROPN
fcis-9941	7	9	)	)	PUNCT
fcis-9941	7	10	is	be	AUX
fcis-9941	7	11	one	one	NUM
fcis-9941	7	12	of	of	ADP
fcis-9941	7	13	the	the	DET
fcis-9941	7	14	representative	representative	ADJ
fcis-9941	7	15	problems	problem	NOUN
fcis-9941	7	16	in	in	ADP
fcis-9941	7	17	the	the	DET
fcis-9941	7	18	intersection	intersection	NOUN
fcis-9941	7	19	of	of	ADP
fcis-9941	7	20	computer	computer	NOUN
fcis-9941	7	21	vision	vision	NOUN
fcis-9941	7	22	and	and	CCONJ
fcis-9941	7	23	natural	natural	ADJ
fcis-9941	7	24	language	language	NOUN
fcis-9941	7	25	processing	processing	NOUN
fcis-9941	7	26	,	,	PUNCT
fcis-9941	7	27	and	and	CCONJ
fcis-9941	7	28	is	be	AUX
fcis-9941	7	29	an	an	DET
fcis-9941	7	30	important	important	ADJ
fcis-9941	7	31	research	research	NOUN
fcis-9941	7	32	task	task	NOUN
fcis-9941	7	33	of	of	ADP
fcis-9941	7	34	artificial	artificial	ADJ
fcis-9941	7	35	intelligence	intelligence	NOUN
fcis-9941	7	36	.	.	PUNCT
fcis-9941	8	1	the	the	DET
fcis-9941	8	2	goal	goal	NOUN
fcis-9941	8	3	of	of	ADP
fcis-9941	8	4	this	this	DET
fcis-9941	8	5	task	task	NOUN
fcis-9941	8	6	is	be	AUX
fcis-9941	8	7	that	that	SCONJ
fcis-9941	8	8	the	the	DET
fcis-9941	8	9	question	question	NOUN
fcis-9941	8	10	answering	answer	VERB
fcis-9941	8	11	model	model	NOUN
fcis-9941	8	12	takes	take	VERB
fcis-9941	8	13	the	the	DET
fcis-9941	8	14	given	give	VERB
fcis-9941	8	15	image	image	NOUN
fcis-9941	8	16	and	and	CCONJ
fcis-9941	8	17	text	text	NOUN
fcis-9941	8	18	questions	question	NOUN
fcis-9941	8	19	as	as	ADP
fcis-9941	8	20	input	input	NOUN
fcis-9941	8	21	and	and	CCONJ
fcis-9941	8	22	gives	give	VERB
fcis-9941	8	23	the	the	DET
fcis-9941	8	24	correct	correct	ADJ
fcis-9941	8	25	answer	answer	NOUN
fcis-9941	8	26	through	through	ADP
fcis-9941	8	27	the	the	DET
fcis-9941	8	28	visual	visual	ADJ
fcis-9941	8	29	question	question	NOUN
fcis-9941	8	30	answering	answering	NOUN
fcis-9941	8	31	model	model	NOUN
fcis-9941	8	32	.	.	PUNCT
fcis-9941	9	1	thanks	thank	NOUN
fcis-9941	9	2	to	to	ADP
fcis-9941	9	3	the	the	DET
fcis-9941	9	4	development	development	NOUN
fcis-9941	9	5	of	of	ADP
fcis-9941	9	6	deep	deep	ADJ
fcis-9941	9	7	learning	learning	NOUN
fcis-9941	9	8	,	,	PUNCT
fcis-9941	9	9	computer	computer	NOUN
fcis-9941	9	10	vision	vision	NOUN
fcis-9941	9	11	,	,	PUNCT
fcis-9941	9	12	natural	natural	ADJ
fcis-9941	9	13	language	language	NOUN
fcis-9941	9	14	processing	processing	NOUN
fcis-9941	9	15	and	and	CCONJ
fcis-9941	9	16	other	other	ADJ
fcis-9941	9	17	technologies	technology	NOUN
fcis-9941	9	18	,	,	PUNCT
fcis-9941	9	19	as	as	ADV
fcis-9941	9	20	well	well	ADV
fcis-9941	9	21	as	as	ADP
fcis-9941	9	22	the	the	DET
fcis-9941	9	23	continuous	continuous	ADJ
fcis-9941	9	24	improvement	improvement	NOUN
fcis-9941	9	25	of	of	ADP
fcis-9941	9	26	related	related	ADJ
fcis-9941	9	27	data	data	NOUN
fcis-9941	9	28	sets	set	NOUN
fcis-9941	9	29	,	,	PUNCT
fcis-9941	9	30	a	a	DET
fcis-9941	9	31	large	large	ADJ
fcis-9941	9	32	number	number	NOUN
fcis-9941	9	33	of	of	ADP
fcis-9941	9	34	visual	visual	ADJ
fcis-9941	9	35	questions	question	NOUN
fcis-9941	9	36	answering	answer	VERB
fcis-9941	9	37	research	research	NOUN
fcis-9941	9	38	results	result	NOUN
fcis-9941	9	39	have	have	AUX
fcis-9941	9	40	emerged	emerge	VERB
fcis-9941	9	41	in	in	ADP
fcis-9941	9	42	recent	recent	ADJ
fcis-9941	9	43	years	year	NOUN
fcis-9941	9	44	.	.	PUNCT
fcis-9941	10	1	due	due	ADP
fcis-9941	10	2	to	to	ADP
fcis-9941	10	3	the	the	DET
fcis-9941	10	4	enthusiasm	enthusiasm	NOUN
fcis-9941	10	5	of	of	ADP
fcis-9941	10	6	researchers	researcher	NOUN
fcis-9941	10	7	for	for	ADP
fcis-9941	10	8	visual	visual	ADJ
fcis-9941	10	9	question	question	NOUN
fcis-9941	10	10	answering	answering	NOUN
fcis-9941	10	11	tasks	task	NOUN
fcis-9941	10	12	,	,	PUNCT
fcis-9941	10	13	more	more	ADJ
fcis-9941	10	14	and	and	CCONJ
fcis-9941	10	15	more	more	ADV
fcis-9941	10	16	complex	complex	ADJ
fcis-9941	10	17	models	model	NOUN
fcis-9941	10	18	achieve	achieve	VERB
fcis-9941	10	19	higher	high	ADJ
fcis-9941	10	20	and	and	CCONJ
fcis-9941	10	21	higher	high	ADJ
fcis-9941	10	22	accuracy	accuracy	NOUN
fcis-9941	10	23	rates	rate	NOUN
fcis-9941	10	24	on	on	ADP
fcis-9941	10	25	larger	large	ADJ
fcis-9941	10	26	and	and	CCONJ
fcis-9941	10	27	larger	large	ADJ
fcis-9941	10	28	data	datum	NOUN
fcis-9941	10	29	sets	set	NOUN
fcis-9941	10	30	.	.	PUNCT
fcis-9941	11	1	however	however	ADV
fcis-9941	11	2	,	,	PUNCT
fcis-9941	11	3	recent	recent	ADJ
fcis-9941	11	4	studies	study	NOUN
fcis-9941	11	5	have	have	AUX
fcis-9941	11	6	shown	show	VERB
fcis-9941	11	7	that	that	SCONJ
fcis-9941	11	8	the	the	DET
fcis-9941	11	9	current	current	ADJ
fcis-9941	11	10	sota	sota	NOUN
fcis-9941	11	11	(	(	PUNCT
fcis-9941	11	12	state	state	NOUN
fcis-9941	11	13	-	-	PUNCT
fcis-9941	11	14	of	of	ADP
fcis-9941	11	15	-	-	PUNCT
fcis-9941	11	16	the	the	DET
fcis-9941	11	17	-	-	PUNCT
fcis-9941	11	18	art	art	NOUN
fcis-9941	11	19	)	)	PUNCT
fcis-9941	11	20	visual	visual	ADJ
fcis-9941	11	21	question	question	NOUN
fcis-9941	11	22	answering	answer	VERB
fcis-9941	11	23	model	model	NOUN
fcis-9941	11	24	lacks	lack	VERB
fcis-9941	11	25	a	a	DET
fcis-9941	11	26	good	good	ADJ
fcis-9941	11	27	image	image	NOUN
fcis-9941	11	28	foundation	foundation	NOUN
fcis-9941	11	29	and	and	CCONJ
fcis-9941	11	30	answers	answer	VERB
fcis-9941	11	31	questions	question	NOUN
fcis-9941	11	32	by	by	ADP
fcis-9941	11	33	making	make	VERB
fcis-9941	11	34	extensive	extensive	ADJ
fcis-9941	11	35	use	use	NOUN
fcis-9941	11	36	of	of	ADP
fcis-9941	11	37	the	the	DET
fcis-9941	11	38	superficial	superficial	ADJ
fcis-9941	11	39	correlation	correlation	NOUN
fcis-9941	11	40	between	between	ADP
fcis-9941	11	41	questions	question	NOUN
fcis-9941	11	42	and	and	CCONJ
fcis-9941	11	43	answers	answer	NOUN
fcis-9941	11	44	in	in	ADP
fcis-9941	11	45	the	the	DET
fcis-9941	11	46	training	training	NOUN
fcis-9941	11	47	data	datum	NOUN
fcis-9941	11	48	,	,	PUNCT
fcis-9941	11	49	that	that	ADV
fcis-9941	11	50	is	is	ADV
fcis-9941	11	51	,	,	PUNCT
fcis-9941	11	52	language	language	NOUN
fcis-9941	11	53	priors	prior	NOUN
fcis-9941	11	54	.	.	PUNCT
fcis-9941	12	1	question	question	NOUN
fcis-9941	12	2	.	.	PUNCT
fcis-9941	13	1	this	this	PRON
fcis-9941	13	2	leads	lead	VERB
fcis-9941	13	3	to	to	ADP
fcis-9941	13	4	the	the	DET
fcis-9941	13	5	fact	fact	NOUN
fcis-9941	13	6	that	that	SCONJ
fcis-9941	13	7	the	the	DET
fcis-9941	13	8	model	model	NOUN
fcis-9941	13	9	trained	train	VERB
fcis-9941	13	10	on	on	ADP
fcis-9941	13	11	the	the	DET
fcis-9941	13	12	dataset	dataset	NOUN
fcis-9941	13	13	can	can	AUX
fcis-9941	13	14	not	not	PART
fcis-9941	13	15	be	be	AUX
fcis-9941	13	16	well	well	ADV
fcis-9941	13	17	applied	apply	VERB
fcis-9941	13	18	to	to	ADP
fcis-9941	13	19	the	the	DET
fcis-9941	13	20	real	real	ADJ
fcis-9941	13	21	world	world	NOUN
fcis-9941	13	22	.	.	PUNCT
fcis-9941	14	1	the	the	DET
fcis-9941	14	2	training	training	NOUN
fcis-9941	14	3	model	model	NOUN
fcis-9941	14	4	affected	affect	VERB
fcis-9941	14	5	by	by	ADP
fcis-9941	14	6	the	the	DET
fcis-9941	14	7	language	language	NOUN
fcis-9941	14	8	prior	prior	ADJ
fcis-9941	14	9	question	question	NOUN
fcis-9941	14	10	will	will	AUX
fcis-9941	14	11	blindly	blindly	ADV
fcis-9941	14	12	output	output	VERB
fcis-9941	14	13	the	the	DET
fcis-9941	14	14	answer	answer	NOUN
fcis-9941	14	15	according	accord	VERB
fcis-9941	14	16	to	to	ADP
fcis-9941	14	17	the	the	DET
fcis-9941	14	18	first	first	ADJ
fcis-9941	14	19	few	few	ADJ
fcis-9941	14	20	predicted	predict	VERB
fcis-9941	14	21	word	word	NOUN
fcis-9941	14	22	distributions	distribution	NOUN
fcis-9941	14	23	of	of	ADP
fcis-9941	14	24	the	the	DET
fcis-9941	14	25	question	question	NOUN
fcis-9941	14	26	.	.	PUNCT
fcis-9941	15	1	if	if	SCONJ
fcis-9941	15	2	the	the	DET
fcis-9941	15	3	answer	answer	NOUN
fcis-9941	15	4	to	to	ADP
fcis-9941	15	5	the	the	DET
fcis-9941	15	6	question	question	NOUN
fcis-9941	15	7	asking	ask	VERB
fcis-9941	15	8	the	the	DET
fcis-9941	15	9	number	number	NOUN
fcis-9941	15	10	of	of	ADP
fcis-9941	15	11	questions	question	NOUN
fcis-9941	15	12	in	in	ADP
fcis-9941	15	13	the	the	DET
fcis-9941	15	14	training	training	NOUN
fcis-9941	15	15	data	data	NOUN
fcis-9941	15	16	is	be	AUX
fcis-9941	15	17	the	the	DET
fcis-9941	15	18	highest	high	ADJ
fcis-9941	15	19	proportion	proportion	NOUN
fcis-9941	15	20	of	of	ADP
fcis-9941	15	21	"	"	PUNCT
fcis-9941	15	22	2	2	NUM
fcis-9941	15	23	"	"	PUNCT
fcis-9941	15	24	,	,	PUNCT
fcis-9941	15	25	the	the	DET
fcis-9941	15	26	model	model	NOUN
fcis-9941	15	27	will	will	AUX
fcis-9941	15	28	use	use	VERB
fcis-9941	15	29	"	"	PUNCT
fcis-9941	15	30	2	2	NUM
fcis-9941	15	31	"	"	PUNCT
fcis-9941	15	32	as	as	ADP
fcis-9941	15	33	the	the	DET
fcis-9941	15	34	question	question	NOUN
fcis-9941	15	35	"	"	PUNCT
fcis-9941	15	36	how	how	SCONJ
fcis-9941	15	37	many	many	ADJ
fcis-9941	15	38	...	...	PUNCT
fcis-9941	15	39	in	in	ADP
fcis-9941	15	40	the	the	DET
fcis-9941	15	41	graph	graph	NOUN
fcis-9941	15	42	?	?	PUNCT
fcis-9941	15	43	"	"	PUNCT
fcis-9941	15	44	predicts	predict	VERB
fcis-9941	15	45	the	the	DET
fcis-9941	15	46	answer	answer	NOUN
fcis-9941	15	47	;	;	PUNCT
fcis-9941	15	48	answering	answer	VERB
fcis-9941	15	49	"	"	PUNCT
fcis-9941	15	50	yes	yes	INTJ
fcis-9941	15	51	/	/	SYM
fcis-9941	15	52	no	no	NOUN
fcis-9941	15	53	"	"	PUNCT
fcis-9941	15	54	questions	question	NOUN
fcis-9941	15	55	also	also	ADV
fcis-9941	15	56	give	give	VERB
fcis-9941	15	57	affirmative	affirmative	ADJ
fcis-9941	15	58	answers	answer	NOUN
fcis-9941	15	59	due	due	ADP
fcis-9941	15	60	to	to	ADP
fcis-9941	15	61	the	the	DET
fcis-9941	15	62	large	large	ADJ
fcis-9941	15	63	number	number	NOUN
fcis-9941	15	64	of	of	ADP
fcis-9941	15	65	questions	question	NOUN
fcis-9941	15	66	answered	answer	VERB
fcis-9941	15	67	"	"	PUNCT
fcis-9941	15	68	yes	yes	INTJ
fcis-9941	15	69	"	"	PUNCT
fcis-9941	15	70	during	during	ADP
fcis-9941	15	71	training	training	NOUN
fcis-9941	15	72	.	.	PUNCT
fcis-9941	16	1	during	during	ADP
fcis-9941	16	2	training	training	NOUN
fcis-9941	16	3	,	,	PUNCT
fcis-9941	16	4	the	the	DET
fcis-9941	16	5	model	model	NOUN
fcis-9941	16	6	focuses	focus	VERB
fcis-9941	16	7	too	too	ADV
fcis-9941	16	8	much	much	ADJ
fcis-9941	16	9	on	on	ADP
fcis-9941	16	10	the	the	DET
fcis-9941	16	11	superficial	superficial	ADJ
fcis-9941	16	12	association	association	NOUN
fcis-9941	16	13	between	between	ADP
fcis-9941	16	14	the	the	DET
fcis-9941	16	15	question	question	NOUN
fcis-9941	16	16	and	and	CCONJ
fcis-9941	16	17	the	the	DET
fcis-9941	16	18	answer	answer	NOUN
fcis-9941	16	19	,	,	PUNCT
fcis-9941	16	20	while	while	SCONJ
fcis-9941	16	21	ignoring	ignore	VERB
fcis-9941	16	22	the	the	DET
fcis-9941	16	23	more	more	ADJ
fcis-9941	16	24	information	information	NOUN
fcis-9941	16	25	contained	contain	VERB
fcis-9941	16	26	in	in	ADP
fcis-9941	16	27	the	the	DET
fcis-9941	16	28	image	image	NOUN
fcis-9941	16	29	.	.	PUNCT
fcis-9941	17	1	this	this	PRON
fcis-9941	17	2	is	be	AUX
fcis-9941	17	3	very	very	ADV
fcis-9941	17	4	unreasonable	unreasonable	ADJ
fcis-9941	17	5	.	.	PUNCT
fcis-9941	18	1	the	the	DET
fcis-9941	18	2	generalization	generalization	NOUN
fcis-9941	18	3	and	and	CCONJ
fcis-9941	18	4	robustness	robustness	NOUN
fcis-9941	18	5	of	of	ADP
fcis-9941	18	6	the	the	DET
fcis-9941	18	7	model	model	NOUN
fcis-9941	18	8	trained	train	VERB
fcis-9941	18	9	in	in	ADP
fcis-9941	18	10	this	this	DET
fcis-9941	18	11	way	way	NOUN
fcis-9941	18	12	are	be	AUX
fcis-9941	18	13	severely	severely	ADV
fcis-9941	18	14	limited	limit	VERB
fcis-9941	18	15	;	;	PUNCT
fcis-9941	18	16	the	the	DET
fcis-9941	18	17	same	same	ADJ
fcis-9941	18	18	unreasonable	unreasonable	ADJ
fcis-9941	18	19	problem	problem	NOUN
fcis-9941	18	20	is	be	AUX
fcis-9941	18	21	that	that	SCONJ
fcis-9941	18	22	there	there	PRON
fcis-9941	18	23	is	be	VERB
fcis-9941	18	24	a	a	DET
fcis-9941	18	25	strong	strong	ADJ
fcis-9941	18	26	language	language	NOUN
fcis-9941	18	27	prior	prior	ADV
fcis-9941	18	28	in	in	ADP
fcis-9941	18	29	the	the	DET
fcis-9941	18	30	test	test	NOUN
fcis-9941	18	31	data	datum	NOUN
fcis-9941	18	32	with	with	ADP
fcis-9941	18	33	the	the	DET
fcis-9941	18	34	same	same	ADJ
fcis-9941	18	35	distribution	distribution	NOUN
fcis-9941	18	36	as	as	ADP
fcis-9941	18	37	the	the	DET
fcis-9941	18	38	training	training	NOUN
fcis-9941	18	39	data	datum	NOUN
fcis-9941	18	40	,	,	PUNCT
fcis-9941	18	41	which	which	PRON
fcis-9941	18	42	leads	lead	VERB
fcis-9941	18	43	to	to	ADP
fcis-9941	18	44	the	the	DET
fcis-9941	18	45	performance	performance	NOUN
fcis-9941	18	46	of	of	ADP
fcis-9941	18	47	the	the	DET
fcis-9941	18	48	model	model	NOUN
fcis-9941	18	49	can	can	AUX
fcis-9941	18	50	not	not	PART
fcis-9941	18	51	be	be	AUX
fcis-9941	18	52	accurately	accurately	ADV
fcis-9941	18	53	evaluated	evaluate	VERB
fcis-9941	18	54	under	under	ADP
fcis-9941	18	55	the	the	DET
fcis-9941	18	56	existing	exist	VERB
fcis-9941	18	57	evaluation	evaluation	NOUN
fcis-9941	18	58	criteria	criterion	NOUN
fcis-9941	18	59	.	.	PUNCT
fcis-9941	19	1	usually	usually	ADV
fcis-9941	19	2	tested	test	VERB
fcis-9941	19	3	on	on	ADP
fcis-9941	19	4	datasets	dataset	NOUN
fcis-9941	19	5	with	with	ADP
fcis-9941	19	6	different	different	ADJ
fcis-9941	19	7	question	question	NOUN
fcis-9941	19	8	-	-	PUNCT
fcis-9941	19	9	answer	answer	NOUN
fcis-9941	19	10	distributions	distribution	NOUN
fcis-9941	19	11	,	,	PUNCT
fcis-9941	19	12	most	most	ADJ
fcis-9941	19	13	existing	exist	VERB
fcis-9941	19	14	models	model	NOUN
fcis-9941	19	15	experience	experience	VERB
fcis-9941	19	16	significant	significant	ADJ
fcis-9941	19	17	performance	performance	NOUN
fcis-9941	19	18	degradation	degradation	NOUN
fcis-9941	19	19	.	.	PUNCT
fcis-9941	20	1	2	2	X
fcis-9941	20	2	.	.	X
fcis-9941	20	3	related	relate	VERB
fcis-9941	20	4	work	work	NOUN
fcis-9941	20	5	2.1	2.1	NUM
fcis-9941	20	6	.	.	PUNCT
fcis-9941	21	1	improvements	improvement	NOUN
fcis-9941	21	2	for	for	ADP
fcis-9941	21	3	dataset	dataset	ADJ
fcis-9941	21	4	agrawal	agrawal	PROPN
fcis-9941	21	5	et	et	PROPN
fcis-9941	21	6	al	al	PROPN
fcis-9941	21	7	.	.	PROPN
fcis-9941	21	8	proposed	propose	VERB
fcis-9941	21	9	the	the	DET
fcis-9941	21	10	vqa	vqa	PROPN
fcis-9941	21	11	-	-	PUNCT
fcis-9941	21	12	cp	cp	PROPN
fcis-9941	21	13	dataset	dataset	NOUN
fcis-9941	21	14	,	,	PUNCT
fcis-9941	21	15	which	which	PRON
fcis-9941	21	16	is	be	AUX
fcis-9941	21	17	a	a	DET
fcis-9941	21	18	repartition	repartition	NOUN
fcis-9941	21	19	of	of	ADP
fcis-9941	21	20	the	the	DET
fcis-9941	21	21	existing	exist	VERB
fcis-9941	21	22	vqa	vqa	NOUN
fcis-9941	21	23	dataset	dataset	NOUN
fcis-9941	21	24	,	,	PUNCT
fcis-9941	21	25	where	where	SCONJ
fcis-9941	21	26	the	the	DET
fcis-9941	21	27	split	split	NOUN
fcis-9941	21	28	of	of	ADP
fcis-9941	21	29	the	the	DET
fcis-9941	21	30	answer	answer	NOUN
fcis-9941	21	31	distribution	distribution	NOUN
fcis-9941	21	32	for	for	ADP
fcis-9941	21	33	each	each	DET
fcis-9941	21	34	question	question	NOUN
fcis-9941	21	35	type	type	NOUN
fcis-9941	21	36	in	in	ADP
fcis-9941	21	37	the	the	DET
fcis-9941	21	38	training	training	NOUN
fcis-9941	21	39	and	and	CCONJ
fcis-9941	21	40	test	test	NOUN
fcis-9941	21	41	sets	set	NOUN
fcis-9941	21	42	is	be	AUX
fcis-9941	21	43	inverted	invert	VERB
fcis-9941	21	44	.	.	PUNCT
fcis-9941	22	1	for	for	ADP
fcis-9941	22	2	example	example	NOUN
fcis-9941	22	3	,	,	PUNCT
fcis-9941	22	4	in	in	ADP
fcis-9941	22	5	the	the	DET
fcis-9941	22	6	training	training	NOUN
fcis-9941	22	7	of	of	ADP
fcis-9941	22	8	vqa	vqa	PROPN
fcis-9941	22	9	-	-	PUNCT
fcis-9941	22	10	cp	cp	NUM
fcis-9941	22	11	v1	v1	NOUN
fcis-9941	22	12	,	,	PUNCT
fcis-9941	22	13	"	"	PUNCT
fcis-9941	22	14	tennis	tennis	NOUN
fcis-9941	22	15	"	"	PUNCT
fcis-9941	22	16	was	be	AUX
fcis-9941	22	17	the	the	DET
fcis-9941	22	18	most	most	ADV
fcis-9941	22	19	common	common	ADJ
fcis-9941	22	20	answer	answer	NOUN
fcis-9941	22	21	to	to	ADP
fcis-9941	22	22	the	the	DET
fcis-9941	22	23	question	question	NOUN
fcis-9941	22	24	"	"	PUNCT
fcis-9941	22	25	what	what	PRON
fcis-9941	22	26	sport	sport	NOUN
fcis-9941	22	27	is	be	AUX
fcis-9941	22	28	...	...	PUNCT
fcis-9941	22	29	?	?	PUNCT
fcis-9941	22	30	"	"	PUNCT
fcis-9941	22	31	.	.	PUNCT
fcis-9941	23	1	and	and	CCONJ
fcis-9941	23	2	"	"	PUNCT
fcis-9941	23	3	skiing	skiing	NOUN
fcis-9941	23	4	"	"	PUNCT
fcis-9941	23	5	is	be	AUX
fcis-9941	23	6	uncommon	uncommon	ADJ
fcis-9941	23	7	;	;	PUNCT
fcis-9941	23	8	in	in	ADP
fcis-9941	23	9	the	the	DET
fcis-9941	23	10	test	test	NOUN
fcis-9941	23	11	split	split	NOUN
fcis-9941	23	12	,	,	PUNCT
fcis-9941	23	13	this	this	DET
fcis-9941	23	14	prior	prior	ADV
fcis-9941	23	15	is	be	AUX
fcis-9941	23	16	reversed	reverse	VERB
fcis-9941	23	17	.	.	PUNCT
fcis-9941	24	1	the	the	DET
fcis-9941	24	2	vqa	vqa	PROPN
fcis-9941	24	3	-	-	PUNCT
fcis-9941	24	4	cp	cp	PROPN
fcis-9941	24	5	dataset	dataset	NOUN
fcis-9941	24	6	is	be	AUX
fcis-9941	24	7	currently	currently	ADV
fcis-9941	24	8	the	the	DET
fcis-9941	24	9	main	main	ADJ
fcis-9941	24	10	dataset	dataset	NOUN
fcis-9941	24	11	for	for	ADP
fcis-9941	24	12	dealing	deal	VERB
fcis-9941	24	13	with	with	ADP
fcis-9941	24	14	language	language	NOUN
fcis-9941	24	15	priors	prior	NOUN
fcis-9941	24	16	.	.	PUNCT
fcis-9941	25	1	in	in	ADP
fcis-9941	25	2	order	order	NOUN
fcis-9941	25	3	to	to	PART
fcis-9941	25	4	minimize	minimize	VERB
fcis-9941	25	5	the	the	DET
fcis-9941	25	6	influence	influence	NOUN
fcis-9941	25	7	of	of	ADP
fcis-9941	25	8	language	language	NOUN
fcis-9941	25	9	prior	prior	ADV
fcis-9941	25	10	in	in	ADP
fcis-9941	25	11	the	the	DET
fcis-9941	25	12	dataset	dataset	NOUN
fcis-9941	25	13	on	on	ADP
fcis-9941	25	14	training	training	NOUN
fcis-9941	25	15	,	,	PUNCT
fcis-9941	25	16	some	some	DET
fcis-9941	25	17	scholars	scholar	NOUN
fcis-9941	25	18	are	be	AUX
fcis-9941	25	19	committed	commit	VERB
fcis-9941	25	20	to	to	ADP
fcis-9941	25	21	constructing	construct	VERB
fcis-9941	25	22	a	a	DET
fcis-9941	25	23	balanced	balanced	ADJ
fcis-9941	25	24	dataset	dataset	NOUN
fcis-9941	25	25	.	.	PUNCT
fcis-9941	26	1	zhang	zhang	PROPN
fcis-9941	26	2	et	et	PROPN
fcis-9941	26	3	al	al	PROPN
fcis-9941	26	4	.	.	PUNCT
fcis-9941	27	1	[	[	X
fcis-9941	27	2	1	1	X
fcis-9941	27	3	]	]	PUNCT
fcis-9941	27	4	collect	collect	NOUN
fcis-9941	27	5	finegrained	finegraine	VERB
fcis-9941	27	6	scene	scene	NOUN
fcis-9941	27	7	pairs	pair	NOUN
fcis-9941	27	8	for	for	ADP
fcis-9941	27	9	each	each	DET
fcis-9941	27	10	question	question	NOUN
fcis-9941	27	11	type	type	NOUN
fcis-9941	27	12	asking	ask	VERB
fcis-9941	27	13	“	"	PUNCT
fcis-9941	27	14	yes	yes	INTJ
fcis-9941	27	15	/	/	SYM
fcis-9941	27	16	no	no	NOUN
fcis-9941	27	17	”	"	PUNCT
fcis-9941	27	18	such	such	ADJ
fcis-9941	27	19	that	that	PRON
fcis-9941	27	20	for	for	ADP
fcis-9941	27	21	the	the	DET
fcis-9941	27	22	exact	exact	ADJ
fcis-9941	27	23	same	same	ADJ
fcis-9941	27	24	question	question	NOUN
fcis-9941	27	25	,	,	PUNCT
fcis-9941	27	26	the	the	DET
fcis-9941	27	27	answer	answer	NOUN
fcis-9941	27	28	to	to	ADP
fcis-9941	27	29	one	one	NUM
fcis-9941	27	30	scene	scene	NOUN
fcis-9941	27	31	is	be	AUX
fcis-9941	27	32	“	"	PUNCT
fcis-9941	27	33	yes	yes	INTJ
fcis-9941	27	34	”	"	PUNCT
fcis-9941	27	35	and	and	CCONJ
fcis-9941	27	36	the	the	DET
fcis-9941	27	37	answer	answer	NOUN
fcis-9941	27	38	to	to	ADP
fcis-9941	27	39	another	another	DET
fcis-9941	27	40	scene	scene	NOUN
fcis-9941	27	41	is	be	AUX
fcis-9941	27	42	"	"	PUNCT
fcis-9941	27	43	no	no	INTJ
fcis-9941	27	44	"	"	PUNCT
fcis-9941	27	45	;	;	PUNCT
fcis-9941	27	46	goyal	goyal	PROPN
fcis-9941	27	47	et	et	PROPN
fcis-9941	27	48	al	al	PROPN
fcis-9941	27	49	.	.	PUNCT
fcis-9941	28	1	[	[	X
fcis-9941	28	2	2	2	NUM
fcis-9941	28	3	]	]	PUNCT
fcis-9941	28	4	also	also	ADV
fcis-9941	28	5	balance	balance	VERB
fcis-9941	28	6	the	the	DET
fcis-9941	28	7	vqa	vqa	NOUN
fcis-9941	28	8	dataset	dataset	VERB
fcis-9941	28	9	by	by	ADP
fcis-9941	28	10	collecting	collect	VERB
fcis-9941	28	11	complementary	complementary	ADJ
fcis-9941	28	12	images	image	NOUN
fcis-9941	28	13	,	,	PUNCT
fcis-9941	28	14	so	so	SCONJ
fcis-9941	28	15	that	that	SCONJ
fcis-9941	28	16	each	each	DET
fcis-9941	28	17	question	question	NOUN
fcis-9941	28	18	is	be	AUX
fcis-9941	28	19	not	not	PART
fcis-9941	28	20	only	only	ADV
fcis-9941	28	21	related	relate	VERB
fcis-9941	28	22	to	to	ADP
fcis-9941	28	23	one	one	NUM
fcis-9941	28	24	image	image	NOUN
fcis-9941	28	25	,	,	PUNCT
fcis-9941	28	26	but	but	CCONJ
fcis-9941	28	27	to	to	ADP
fcis-9941	28	28	a	a	DET
fcis-9941	28	29	pair	pair	NOUN
fcis-9941	28	30	of	of	ADP
fcis-9941	28	31	similar	similar	ADJ
fcis-9941	28	32	pictures	picture	NOUN
fcis-9941	28	33	.	.	PUNCT
fcis-9941	29	1	agrawal	agrawal	PROPN
fcis-9941	29	2	et	et	PROPN
fcis-9941	29	3	al	al	PROPN
fcis-9941	29	4	.	.	PUNCT
fcis-9941	30	1	[	[	X
fcis-9941	30	2	3	3	NUM
fcis-9941	30	3	]	]	PUNCT
fcis-9941	30	4	re	re	VERB
fcis-9941	30	5	-	-	VERB
fcis-9941	30	6	divided	divide	VERB
fcis-9941	30	7	the	the	DET
fcis-9941	30	8	vqa	vqa	ADJ
fcis-9941	30	9	-	-	PUNCT
fcis-9941	30	10	v2	v2	NOUN
fcis-9941	30	11	dataset	dataset	NOUN
fcis-9941	30	12	so	so	SCONJ
fcis-9941	30	13	that	that	SCONJ
fcis-9941	30	14	the	the	DET
fcis-9941	30	15	distribution	distribution	NOUN
fcis-9941	30	16	of	of	ADP
fcis-9941	30	17	each	each	DET
fcis-9941	30	18	question	question	NOUN
fcis-9941	30	19	type	type	NOUN
fcis-9941	30	20	(	(	PUNCT
fcis-9941	30	21	such	such	ADJ
fcis-9941	30	22	as	as	ADP
fcis-9941	30	23	"	"	PUNCT
fcis-9941	30	24	what	what	DET
fcis-9941	30	25	color	color	NOUN
fcis-9941	30	26	...	...	PUNCT
fcis-9941	30	27	"	"	PUNCT
fcis-9941	30	28	,	,	PUNCT
fcis-9941	30	29	"	"	PUNCT
fcis-9941	30	30	how	how	SCONJ
fcis-9941	30	31	much	much	ADJ
fcis-9941	30	32	...	...	PUNCT
fcis-9941	30	33	"	"	PUNCT
fcis-9941	30	34	,	,	PUNCT
fcis-9941	30	35	etc	etc	X
fcis-9941	30	36	.	.	X
fcis-9941	30	37	)	)	PUNCT
fcis-9941	30	38	and	and	CCONJ
fcis-9941	30	39	its	its	PRON
fcis-9941	30	40	answer	answer	NOUN
fcis-9941	30	41	is	be	AUX
fcis-9941	30	42	different	different	ADJ
fcis-9941	30	43	on	on	ADP
fcis-9941	30	44	the	the	DET
fcis-9941	30	45	training	training	NOUN
fcis-9941	30	46	set	set	NOUN
fcis-9941	30	47	and	and	CCONJ
fcis-9941	30	48	the	the	DET
fcis-9941	30	49	test	test	NOUN
fcis-9941	30	50	set	set	VERB
fcis-9941	30	51	is	be	AUX
fcis-9941	30	52	large	large	ADJ
fcis-9941	30	53	,	,	PUNCT
fcis-9941	30	54	so	so	ADV
fcis-9941	30	55	models	model	NOUN
fcis-9941	30	56	with	with	ADP
fcis-9941	30	57	poor	poor	ADJ
fcis-9941	30	58	image	image	NOUN
fcis-9941	30	59	bases	basis	NOUN
fcis-9941	30	60	and	and	CCONJ
fcis-9941	30	61	overly	overly	ADV
fcis-9941	30	62	reliant	reliant	ADJ
fcis-9941	30	63	on	on	ADP
fcis-9941	30	64	language	language	NOUN
fcis-9941	30	65	priors	prior	NOUN
fcis-9941	30	66	will	will	AUX
fcis-9941	30	67	perform	perform	VERB
fcis-9941	30	68	poorly	poorly	ADV
fcis-9941	30	69	on	on	ADP
fcis-9941	30	70	this	this	DET
fcis-9941	30	71	new	new	ADJ
fcis-9941	30	72	split	split	NOUN
fcis-9941	30	73	.	.	PUNCT
fcis-9941	31	1	the	the	DET
fcis-9941	31	2	re	re	ADJ
fcis-9941	31	3	-	-	ADJ
fcis-9941	31	4	divided	divide	VERB
fcis-9941	31	5	vqa	vqa	PROPN
fcis-9941	31	6	-	-	PUNCT
fcis-9941	31	7	cp	cp	PROPN
fcis-9941	31	8	data	datum	NOUN
fcis-9941	31	9	set	set	VERB
fcis-9941	31	10	improves	improve	VERB
fcis-9941	31	11	the	the	DET
fcis-9941	31	12	strong	strong	ADJ
fcis-9941	31	13	correlation	correlation	NOUN
fcis-9941	31	14	between	between	ADP
fcis-9941	31	15	the	the	DET
fcis-9941	31	16	questions	question	NOUN
fcis-9941	31	17	and	and	CCONJ
fcis-9941	31	18	answers	answer	NOUN
fcis-9941	31	19	of	of	ADP
fcis-9941	31	20	the	the	DET
fcis-9941	31	21	original	original	ADJ
fcis-9941	31	22	vqa	vqa	NOUN
fcis-9941	31	23	data	datum	NOUN
fcis-9941	31	24	set	set	VERB
fcis-9941	31	25	to	to	ADP
fcis-9941	31	26	a	a	DET
fcis-9941	31	27	certain	certain	ADJ
fcis-9941	31	28	extent	extent	NOUN
fcis-9941	31	29	.	.	PUNCT
fcis-9941	32	1	currently	currently	ADV
fcis-9941	32	2	,	,	PUNCT
fcis-9941	32	3	this	this	DET
fcis-9941	32	4	dataset	dataset	NOUN
fcis-9941	32	5	is	be	AUX
fcis-9941	32	6	mainly	mainly	ADV
fcis-9941	32	7	used	use	VERB
fcis-9941	32	8	to	to	PART
fcis-9941	32	9	evaluate	evaluate	VERB
fcis-9941	32	10	the	the	DET
fcis-9941	32	11	generalization	generalization	NOUN
fcis-9941	32	12	ability	ability	NOUN
fcis-9941	32	13	of	of	ADP
fcis-9941	32	14	the	the	DET
fcis-9941	32	15	vqa	vqa	PROPN
fcis-9941	32	16	model	model	NOUN
fcis-9941	32	17	.	.	PUNCT
fcis-9941	33	1	2.2	2.2	NUM
fcis-9941	33	2	.	.	PUNCT
fcis-9941	33	3	improvements	improvement	NOUN
fcis-9941	33	4	for	for	ADP
fcis-9941	33	5	visual	visual	ADJ
fcis-9941	33	6	question	question	NOUN
fcis-9941	33	7	answering	answering	NOUN
fcis-9941	33	8	models	model	NOUN
fcis-9941	33	9	2.2.1	2.2.1	NUM
fcis-9941	33	10	.	.	PUNCT
fcis-9941	33	11	methods	method	NOUN
fcis-9941	33	12	based	base	VERB
fcis-9941	33	13	on	on	ADP
fcis-9941	33	14	strengthening	strengthen	VERB
fcis-9941	33	15	visual	visual	ADJ
fcis-9941	33	16	information	information	NOUN
fcis-9941	33	17	selvaraju	selvaraju	X
fcis-9941	33	18	et	et	PROPN
fcis-9941	33	19	al	al	PROPN
fcis-9941	33	20	.	.	PUNCT
fcis-9941	34	1	[	[	X
fcis-9941	34	2	4	4	X
fcis-9941	34	3	]	]	PUNCT
fcis-9941	34	4	proposed	propose	VERB
fcis-9941	34	5	the	the	DET
fcis-9941	34	6	hint	hint	NOUN
fcis-9941	34	7	method	method	NOUN
fcis-9941	34	8	(	(	PUNCT
fcis-9941	34	9	human	human	ADJ
fcis-9941	34	10	importance	importance	NOUN
fcis-9941	34	11	-	-	PUNCT
fcis-9941	34	12	aware	aware	ADJ
fcis-9941	34	13	network	network	NOUN
fcis-9941	34	14	tuning	tuning	NOUN
fcis-9941	34	15	)	)	PUNCT
fcis-9941	34	16	,	,	PUNCT
fcis-9941	34	17	which	which	PRON
fcis-9941	34	18	is	be	AUX
fcis-9941	34	19	a	a	DET
fcis-9941	34	20	general	general	ADJ
fcis-9941	34	21	47	47	NUM
fcis-9941	34	22	framework	framework	NOUN
fcis-9941	34	23	for	for	ADP
fcis-9941	34	24	aligning	align	VERB
fcis-9941	34	25	network	network	NOUN
fcis-9941	34	26	sensitivity	sensitivity	NOUN
fcis-9941	34	27	with	with	ADP
fcis-9941	34	28	input	input	NOUN
fcis-9941	34	29	regions	region	NOUN
fcis-9941	34	30	that	that	SCONJ
fcis-9941	34	31	humans	human	NOUN
fcis-9941	34	32	consider	consider	VERB
fcis-9941	34	33	relevant	relevant	ADJ
fcis-9941	34	34	to	to	ADP
fcis-9941	34	35	tasks	task	NOUN
fcis-9941	34	36	.	.	PUNCT
fcis-9941	35	1	this	this	DET
fcis-9941	35	2	method	method	NOUN
fcis-9941	35	3	can	can	AUX
fcis-9941	35	4	effectively	effectively	ADV
fcis-9941	35	5	use	use	VERB
fcis-9941	35	6	human	human	ADJ
fcis-9941	35	7	demonstrations	demonstration	NOUN
fcis-9941	35	8	to	to	PART
fcis-9941	35	9	improve	improve	VERB
fcis-9941	35	10	the	the	DET
fcis-9941	35	11	visual	visual	ADJ
fcis-9941	35	12	basis	basis	NOUN
fcis-9941	35	13	,	,	PUNCT
fcis-9941	35	14	hint	hint	NOUN
fcis-9941	35	15	encourages	encourage	VERB
fcis-9941	35	16	deep	deep	ADJ
fcis-9941	35	17	networks	network	NOUN
fcis-9941	35	18	to	to	PART
fcis-9941	35	19	be	be	AUX
fcis-9941	35	20	sensitive	sensitive	ADJ
fcis-9941	35	21	to	to	ADP
fcis-9941	35	22	the	the	DET
fcis-9941	35	23	same	same	ADJ
fcis-9941	35	24	input	input	NOUN
fcis-9941	35	25	regions	region	NOUN
fcis-9941	35	26	as	as	ADP
fcis-9941	35	27	humans	human	NOUN
fcis-9941	35	28	.	.	PUNCT
fcis-9941	36	1	this	this	DET
fcis-9941	36	2	method	method	NOUN
fcis-9941	36	3	optimizes	optimize	VERB
fcis-9941	36	4	the	the	DET
fcis-9941	36	5	alignment	alignment	NOUN
fcis-9941	36	6	between	between	ADP
fcis-9941	36	7	human	human	ADJ
fcis-9941	36	8	attention	attention	NOUN
fcis-9941	36	9	maps	map	NOUN
fcis-9941	36	10	and	and	CCONJ
fcis-9941	36	11	gradient	gradient	NOUN
fcis-9941	36	12	-	-	PUNCT
fcis-9941	36	13	based	base	VERB
fcis-9941	36	14	network	network	NOUN
fcis-9941	36	15	importance	importance	NOUN
fcis-9941	36	16	to	to	PART
fcis-9941	36	17	ensure	ensure	VERB
fcis-9941	36	18	that	that	SCONJ
fcis-9941	36	19	model	model	NOUN
fcis-9941	36	20	training	training	NOUN
fcis-9941	36	21	relies	rely	VERB
fcis-9941	36	22	on	on	ADP
fcis-9941	36	23	task	task	NOUN
fcis-9941	36	24	-	-	PUNCT
fcis-9941	36	25	relevant	relevant	ADJ
fcis-9941	36	26	visual	visual	ADJ
fcis-9941	36	27	concepts	concept	NOUN
fcis-9941	36	28	for	for	ADP
fcis-9941	36	29	human	human	ADJ
fcis-9941	36	30	predictions	prediction	NOUN
fcis-9941	36	31	.	.	PUNCT
fcis-9941	37	1	li	li	PROPN
fcis-9941	37	2	et	et	PROPN
fcis-9941	37	3	al	al	PROPN
fcis-9941	37	4	.	.	PUNCT
fcis-9941	38	1	[	[	X
fcis-9941	38	2	5	5	NUM
fcis-9941	38	3	]	]	PUNCT
fcis-9941	38	4	proposed	propose	VERB
fcis-9941	38	5	a	a	DET
fcis-9941	38	6	relation	relation	NOUN
fcis-9941	38	7	-	-	PUNCT
fcis-9941	38	8	aware	aware	ADJ
fcis-9941	38	9	graph	graph	NOUN
fcis-9941	38	10	attention	attention	NOUN
fcis-9941	38	11	network	network	NOUN
fcis-9941	38	12	(	(	PUNCT
fcis-9941	38	13	relation	relation	NOUN
fcis-9941	38	14	-	-	PUNCT
fcis-9941	38	15	aware	aware	ADJ
fcis-9941	38	16	graph	graph	NOUN
fcis-9941	38	17	attention	attention	NOUN
fcis-9941	38	18	network	network	NOUN
fcis-9941	38	19	,	,	PUNCT
fcis-9941	38	20	regat	regat	NOUN
fcis-9941	38	21	)	)	PUNCT
fcis-9941	38	22	.	.	PUNCT
fcis-9941	39	1	this	this	DET
fcis-9941	39	2	method	method	NOUN
fcis-9941	39	3	constructs	construct	VERB
fcis-9941	39	4	a	a	DET
fcis-9941	39	5	relational	relational	ADJ
fcis-9941	39	6	graph	graph	NOUN
fcis-9941	39	7	for	for	ADP
fcis-9941	39	8	each	each	DET
fcis-9941	39	9	image	image	NOUN
fcis-9941	39	10	,	,	PUNCT
fcis-9941	39	11	and	and	CCONJ
fcis-9941	39	12	uses	use	VERB
fcis-9941	39	13	the	the	DET
fcis-9941	39	14	attention	attention	NOUN
fcis-9941	39	15	mechanism	mechanism	NOUN
fcis-9941	39	16	to	to	PART
fcis-9941	39	17	analyze	analyze	VERB
fcis-9941	39	18	the	the	DET
fcis-9941	39	19	relationship	relationship	NOUN
fcis-9941	39	20	between	between	ADP
fcis-9941	39	21	multiple	multiple	ADJ
fcis-9941	39	22	types	type	NOUN
fcis-9941	39	23	of	of	ADP
fcis-9941	39	24	objects	object	NOUN
fcis-9941	39	25	.	.	PUNCT
fcis-9941	40	1	modeling	modeling	NOUN
fcis-9941	40	2	is	be	AUX
fcis-9941	40	3	performed	perform	VERB
fcis-9941	40	4	to	to	PART
fcis-9941	40	5	learn	learn	VERB
fcis-9941	40	6	adaptive	adaptive	ADJ
fcis-9941	40	7	relational	relational	ADJ
fcis-9941	40	8	representations	representation	NOUN
fcis-9941	40	9	between	between	ADP
fcis-9941	40	10	problems	problem	NOUN
fcis-9941	40	11	.	.	PUNCT
fcis-9941	41	1	the	the	DET
fcis-9941	41	2	relationship	relationship	NOUN
fcis-9941	41	3	between	between	ADP
fcis-9941	41	4	objects	object	NOUN
fcis-9941	41	5	is	be	AUX
fcis-9941	41	6	divided	divide	VERB
fcis-9941	41	7	into	into	ADP
fcis-9941	41	8	explicit	explicit	ADJ
fcis-9941	41	9	relationship	relationship	NOUN
fcis-9941	41	10	and	and	CCONJ
fcis-9941	41	11	implicit	implicit	ADJ
fcis-9941	41	12	relationship	relationship	NOUN
fcis-9941	41	13	.	.	PUNCT
fcis-9941	42	1	the	the	DET
fcis-9941	42	2	former	former	ADJ
fcis-9941	42	3	is	be	AUX
fcis-9941	42	4	used	use	VERB
fcis-9941	42	5	to	to	PART
fcis-9941	42	6	represent	represent	VERB
fcis-9941	42	7	the	the	DET
fcis-9941	42	8	geometric	geometric	ADJ
fcis-9941	42	9	position	position	NOUN
fcis-9941	42	10	relationship	relationship	NOUN
fcis-9941	42	11	of	of	ADP
fcis-9941	42	12	objects	object	NOUN
fcis-9941	42	13	and	and	CCONJ
fcis-9941	42	14	the	the	DET
fcis-9941	42	15	semantic	semantic	ADJ
fcis-9941	42	16	interaction	interaction	NOUN
fcis-9941	42	17	relationship	relationship	NOUN
fcis-9941	42	18	between	between	ADP
fcis-9941	42	19	objects	object	NOUN
fcis-9941	42	20	,	,	PUNCT
fcis-9941	42	21	and	and	CCONJ
fcis-9941	42	22	the	the	DET
fcis-9941	42	23	latter	latter	ADJ
fcis-9941	42	24	is	be	AUX
fcis-9941	42	25	used	use	VERB
fcis-9941	42	26	to	to	PART
fcis-9941	42	27	capture	capture	VERB
fcis-9941	42	28	implicit	implicit	ADJ
fcis-9941	42	29	activities	activity	NOUN
fcis-9941	42	30	in	in	ADP
fcis-9941	42	31	image	image	NOUN
fcis-9941	42	32	regions	region	NOUN
fcis-9941	42	33	and	and	CCONJ
fcis-9941	42	34	hidden	hidden	ADJ
fcis-9941	42	35	relationships	relationship	NOUN
fcis-9941	42	36	between	between	ADP
fcis-9941	42	37	regions	region	NOUN
fcis-9941	42	38	.	.	PUNCT
fcis-9941	43	1	experiments	experiment	NOUN
fcis-9941	43	2	show	show	VERB
fcis-9941	43	3	that	that	SCONJ
fcis-9941	43	4	on	on	ADP
fcis-9941	43	5	the	the	DET
fcis-9941	43	6	vqa	vqa	PROPN
fcis-9941	43	7	v2	v2	PROPN
fcis-9941	43	8	and	and	CCONJ
fcis-9941	43	9	vqa	vqa	PROPN
fcis-9941	43	10	-	-	PUNCT
fcis-9941	43	11	cp	cp	NUM
fcis-9941	43	12	datasets	dataset	NOUN
fcis-9941	43	13	,	,	PUNCT
fcis-9941	43	14	regat	regat	NOUN
fcis-9941	43	15	's	's	PART
fcis-9941	43	16	performance	performance	NOUN
fcis-9941	43	17	takes	take	VERB
fcis-9941	43	18	the	the	DET
fcis-9941	43	19	lead	lead	NOUN
fcis-9941	43	20	;	;	PUNCT
fcis-9941	43	21	the	the	DET
fcis-9941	43	22	article	article	NOUN
fcis-9941	43	23	further	far	ADV
fcis-9941	43	24	shows	show	VERB
fcis-9941	43	25	that	that	SCONJ
fcis-9941	43	26	regat	regat	NOUN
fcis-9941	43	27	can	can	AUX
fcis-9941	43	28	be	be	AUX
fcis-9941	43	29	used	use	VERB
fcis-9941	43	30	as	as	ADP
fcis-9941	43	31	a	a	DET
fcis-9941	43	32	general	general	ADJ
fcis-9941	43	33	encoder	encoder	NOUN
fcis-9941	43	34	to	to	PART
fcis-9941	43	35	embed	embed	VERB
fcis-9941	43	36	today	today	NOUN
fcis-9941	43	37	's	's	PART
fcis-9941	43	38	cutting	cut	VERB
fcis-9941	43	39	-	-	PUNCT
fcis-9941	43	40	edge	edge	NOUN
fcis-9941	43	41	visual	visual	ADJ
fcis-9941	43	42	question	question	NOUN
fcis-9941	43	43	answering	answering	NOUN
fcis-9941	43	44	models	model	NOUN
fcis-9941	43	45	and	and	CCONJ
fcis-9941	43	46	improve	improve	VERB
fcis-9941	43	47	their	their	PRON
fcis-9941	43	48	performance	performance	NOUN
fcis-9941	43	49	in	in	ADP
fcis-9941	43	50	terms	term	NOUN
fcis-9941	43	51	of	of	ADP
fcis-9941	43	52	robustness	robustness	NOUN
fcis-9941	43	53	.	.	PUNCT
fcis-9941	44	1	hirota	hirota	PROPN
fcis-9941	44	2	et	et	PROPN
fcis-9941	44	3	al	al	PROPN
fcis-9941	44	4	.	.	PUNCT
fcis-9941	45	1	[	[	X
fcis-9941	45	2	6	6	NUM
fcis-9941	45	3	]	]	PUNCT
fcis-9941	45	4	believe	believe	VERB
fcis-9941	45	5	that	that	SCONJ
fcis-9941	45	6	it	it	PRON
fcis-9941	45	7	is	be	AUX
fcis-9941	45	8	difficult	difficult	ADJ
fcis-9941	45	9	for	for	SCONJ
fcis-9941	45	10	traditional	traditional	ADJ
fcis-9941	45	11	deep	deep	ADJ
fcis-9941	45	12	visual	visual	ADJ
fcis-9941	45	13	features	feature	NOUN
fcis-9941	45	14	to	to	PART
fcis-9941	45	15	capture	capture	VERB
fcis-9941	45	16	all	all	DET
fcis-9941	45	17	the	the	DET
fcis-9941	45	18	details	detail	NOUN
fcis-9941	45	19	in	in	ADP
fcis-9941	45	20	the	the	DET
fcis-9941	45	21	image	image	NOUN
fcis-9941	45	22	as	as	SCONJ
fcis-9941	45	23	humans	human	NOUN
fcis-9941	45	24	do	do	VERB
fcis-9941	45	25	.	.	PUNCT
fcis-9941	46	1	at	at	ADP
fcis-9941	46	2	the	the	DET
fcis-9941	46	3	same	same	ADJ
fcis-9941	46	4	time	time	NOUN
fcis-9941	46	5	,	,	PUNCT
fcis-9941	46	6	with	with	ADP
fcis-9941	46	7	the	the	DET
fcis-9941	46	8	recent	recent	ADJ
fcis-9941	46	9	progress	progress	NOUN
fcis-9941	46	10	of	of	ADP
fcis-9941	46	11	natural	natural	ADJ
fcis-9941	46	12	language	language	NOUN
fcis-9941	46	13	models	model	NOUN
fcis-9941	46	14	,	,	PUNCT
fcis-9941	46	15	the	the	DET
fcis-9941	46	16	authors	author	NOUN
fcis-9941	46	17	propose	propose	VERB
fcis-9941	46	18	to	to	PART
fcis-9941	46	19	replace	replace	VERB
fcis-9941	46	20	the	the	DET
fcis-9941	46	21	"	"	PUNCT
fcis-9941	46	22	image	image	NOUN
fcis-9941	46	23	-	-	PUNCT
fcis-9941	46	24	question	question	NOUN
fcis-9941	46	25	"	"	PUNCT
fcis-9941	46	26	pair	pair	NOUN
fcis-9941	46	27	with	with	ADP
fcis-9941	46	28	the	the	DET
fcis-9941	46	29	"	"	PUNCT
fcis-9941	46	30	description	description	NOUN
fcis-9941	46	31	-	-	PUNCT
fcis-9941	46	32	question	question	NOUN
fcis-9941	46	33	"	"	PUNCT
fcis-9941	46	34	pair	pair	NOUN
fcis-9941	46	35	as	as	ADP
fcis-9941	46	36	input	input	NOUN
fcis-9941	46	37	and	and	CCONJ
fcis-9941	46	38	feed	feed	VERB
fcis-9941	46	39	them	they	PRON
fcis-9941	46	40	into	into	ADP
fcis-9941	46	41	a	a	DET
fcis-9941	46	42	language	language	NOUN
fcis-9941	46	43	-	-	PUNCT
fcis-9941	46	44	only	only	ADJ
fcis-9941	46	45	transformer	transformer	NOUN
fcis-9941	46	46	model	model	NOUN
fcis-9941	46	47	.	.	PUNCT
fcis-9941	47	1	experiments	experiment	NOUN
fcis-9941	47	2	show	show	VERB
fcis-9941	47	3	that	that	SCONJ
fcis-9941	47	4	models	model	NOUN
fcis-9941	47	5	based	base	VERB
fcis-9941	47	6	on	on	ADP
fcis-9941	47	7	deep	deep	ADJ
fcis-9941	47	8	visual	visual	ADJ
fcis-9941	47	9	features	feature	NOUN
fcis-9941	47	10	are	be	AUX
fcis-9941	47	11	not	not	PART
fcis-9941	47	12	more	more	ADV
fcis-9941	47	13	competitive	competitive	ADJ
fcis-9941	47	14	than	than	ADP
fcis-9941	47	15	pure	pure	ADJ
fcis-9941	47	16	language	language	NOUN
fcis-9941	47	17	models	model	NOUN
fcis-9941	47	18	.	.	PUNCT
fcis-9941	48	1	si	si	PROPN
fcis-9941	48	2	et	et	PROPN
fcis-9941	48	3	al	al	PROPN
fcis-9941	48	4	.	.	PUNCT
fcis-9941	49	1	[	[	X
fcis-9941	49	2	7	7	X
fcis-9941	49	3	]	]	PUNCT
fcis-9941	49	4	proposed	propose	VERB
fcis-9941	49	5	a	a	DET
fcis-9941	49	6	select	select	ADJ
fcis-9941	49	7	-	-	PUNCT
fcis-9941	49	8	and	and	CCONJ
fcis-9941	49	9	-	-	PUNCT
fcis-9941	49	10	rerank	rerank	NOUN
fcis-9941	49	11	(	(	PUNCT
fcis-9941	49	12	sar	sar	NOUN
fcis-9941	49	13	)	)	PUNCT
fcis-9941	49	14	framework	framework	NOUN
fcis-9941	49	15	based	base	VERB
fcis-9941	49	16	on	on	ADP
fcis-9941	49	17	visual	visual	ADJ
fcis-9941	49	18	entailment	entailment	NOUN
fcis-9941	49	19	,	,	PUNCT
fcis-9941	49	20	in	in	ADP
fcis-9941	49	21	which	which	PRON
fcis-9941	49	22	the	the	DET
fcis-9941	49	23	visual	visual	ADJ
fcis-9941	49	24	entailment	entailment	PROPN
fcis-9941	49	25	task	task	NOUN
fcis-9941	49	26	is	be	AUX
fcis-9941	49	27	used	use	VERB
fcis-9941	49	28	to	to	PART
fcis-9941	49	29	judge	judge	VERB
fcis-9941	49	30	the	the	DET
fcis-9941	49	31	degree	degree	NOUN
fcis-9941	49	32	of	of	ADP
fcis-9941	49	33	correlation	correlation	NOUN
fcis-9941	49	34	between	between	ADP
fcis-9941	49	35	the	the	DET
fcis-9941	49	36	given	give	VERB
fcis-9941	49	37	text	text	NOUN
fcis-9941	49	38	and	and	CCONJ
fcis-9941	49	39	the	the	DET
fcis-9941	49	40	image	image	NOUN
fcis-9941	49	41	.	.	PUNCT
fcis-9941	50	1	specifically	specifically	ADV
fcis-9941	50	2	,	,	PUNCT
fcis-9941	50	3	the	the	DET
fcis-9941	50	4	method	method	NOUN
fcis-9941	50	5	first	first	ADJ
fcis-9941	50	6	selects	select	VERB
fcis-9941	50	7	answers	answer	NOUN
fcis-9941	50	8	that	that	PRON
fcis-9941	50	9	are	be	AUX
fcis-9941	50	10	highly	highly	ADV
fcis-9941	50	11	relevant	relevant	ADJ
fcis-9941	50	12	to	to	ADP
fcis-9941	50	13	the	the	DET
fcis-9941	50	14	image	image	NOUN
fcis-9941	50	15	or	or	CCONJ
fcis-9941	50	16	question	question	NOUN
fcis-9941	50	17	as	as	ADP
fcis-9941	50	18	candidates	candidate	NOUN
fcis-9941	50	19	,	,	PUNCT
fcis-9941	50	20	and	and	CCONJ
fcis-9941	50	21	then	then	ADV
fcis-9941	50	22	uses	use	VERB
fcis-9941	50	23	visual	visual	ADJ
fcis-9941	50	24	entailment	entailment	NOUN
fcis-9941	50	25	to	to	PART
fcis-9941	50	26	verify	verify	VERB
fcis-9941	50	27	whether	whether	SCONJ
fcis-9941	50	28	the	the	DET
fcis-9941	50	29	image	image	NOUN
fcis-9941	50	30	semantically	semantically	ADV
fcis-9941	50	31	contains	contain	VERB
fcis-9941	50	32	the	the	DET
fcis-9941	50	33	synthetic	synthetic	ADJ
fcis-9941	50	34	statement	statement	NOUN
fcis-9941	50	35	of	of	ADP
fcis-9941	50	36	the	the	DET
fcis-9941	50	37	question	question	NOUN
fcis-9941	50	38	and	and	CCONJ
fcis-9941	50	39	the	the	DET
fcis-9941	50	40	candidate	candidate	NOUN
fcis-9941	50	41	answer	answer	NOUN
fcis-9941	50	42	.	.	PUNCT
fcis-9941	51	1	the	the	DET
fcis-9941	51	2	sar	sar	PROPN
fcis-9941	51	3	framework	framework	NOUN
fcis-9941	51	4	is	be	AUX
fcis-9941	51	5	a	a	DET
fcis-9941	51	6	general	general	ADJ
fcis-9941	51	7	framework	framework	NOUN
fcis-9941	51	8	,	,	PUNCT
fcis-9941	51	9	which	which	PRON
fcis-9941	51	10	can	can	AUX
fcis-9941	51	11	make	make	VERB
fcis-9941	51	12	full	full	ADJ
fcis-9941	51	13	use	use	NOUN
fcis-9941	51	14	of	of	ADP
fcis-9941	51	15	the	the	DET
fcis-9941	51	16	interaction	interaction	NOUN
fcis-9941	51	17	between	between	ADP
fcis-9941	51	18	images	image	NOUN
fcis-9941	51	19	,	,	PUNCT
fcis-9941	51	20	questions	question	NOUN
fcis-9941	51	21	and	and	CCONJ
fcis-9941	51	22	candidate	candidate	NOUN
fcis-9941	51	23	answers	answer	NOUN
fcis-9941	51	24	,	,	PUNCT
fcis-9941	51	25	and	and	CCONJ
fcis-9941	51	26	can	can	AUX
fcis-9941	51	27	be	be	AUX
fcis-9941	51	28	combined	combine	VERB
fcis-9941	51	29	with	with	ADP
fcis-9941	51	30	existing	exist	VERB
fcis-9941	51	31	vqa	vqa	NOUN
fcis-9941	51	32	models	model	NOUN
fcis-9941	51	33	to	to	PART
fcis-9941	51	34	improve	improve	VERB
fcis-9941	51	35	its	its	PRON
fcis-9941	51	36	performance	performance	NOUN
fcis-9941	51	37	.	.	PUNCT
fcis-9941	52	1	table	table	NOUN
fcis-9941	52	2	1	1	NUM
fcis-9941	52	3	.	.	PUNCT
fcis-9941	53	1	methods	method	NOUN
fcis-9941	53	2	based	base	VERB
fcis-9941	53	3	on	on	ADP
fcis-9941	53	4	strengthening	strengthen	VERB
fcis-9941	53	5	visual	visual	ADJ
fcis-9941	53	6	information	information	NOUN
fcis-9941	53	7	[	[	X
fcis-9941	53	8	24	24	NUM
fcis-9941	53	9	]	]	PUNCT
fcis-9941	53	10	methods	method	NOUN
fcis-9941	53	11	base	base	VERB
fcis-9941	53	12	vqa	vqa	PROPN
fcis-9941	53	13	-	-	PUNCT
fcis-9941	53	14	cp	cp	NUM
fcis-9941	53	15	v2	v2	PROPN
fcis-9941	53	16	test	test	NOUN
fcis-9941	53	17	vqa	vqa	PROPN
fcis-9941	53	18	v2	v2	PROPN
fcis-9941	53	19	val	val	NOUN
fcis-9941	53	20	all	all	DET
fcis-9941	53	21	y	y	PROPN
fcis-9941	53	22	/	/	SYM
fcis-9941	53	23	n	n	CCONJ
fcis-9941	53	24	num	num	ADJ
fcis-9941	53	25	other	other	ADJ
fcis-9941	53	26	all	all	DET
fcis-9941	53	27	y	y	PROPN
fcis-9941	53	28	/	/	SYM
fcis-9941	53	29	n	n	CCONJ
fcis-9941	53	30	num	num	ADJ
fcis-9941	53	31	other	other	ADJ
fcis-9941	53	32	attalign[4	attalign[4	PROPN
fcis-9941	53	33	]	]	PUNCT
fcis-9941	53	34	updn	updn	NOUN
fcis-9941	53	35	39.37	39.37	NUM
fcis-9941	53	36	43.02	43.02	NUM
fcis-9941	53	37	11.89	11.89	NUM
fcis-9941	53	38	45.00	45.00	NUM
fcis-9941	53	39	63.24	63.24	NUM
fcis-9941	53	40	80.99	80.99	NUM
fcis-9941	53	41	42.55	42.55	NUM
fcis-9941	53	42	55.22	55.22	NUM
fcis-9941	53	43	hint[4	hint[4	PROPN
fcis-9941	53	44	]	]	PUNCT
fcis-9941	53	45	updn	updn	NOUN
fcis-9941	53	46	46.73	46.73	NUM
fcis-9941	53	47	67.27	67.27	NUM
fcis-9941	53	48	10.61	10.61	NUM
fcis-9941	53	49	45.88	45.88	NUM
fcis-9941	53	50	63.38	63.38	NUM
fcis-9941	53	51	81.18	81.18	NUM
fcis-9941	53	52	42.99	42.99	NUM
fcis-9941	53	53	55.56	55.56	NUM
fcis-9941	53	54	scr[25	scr[25	PROPN
fcis-9941	53	55	]	]	PUNCT
fcis-9941	54	1	updn	updn	NOUN
fcis-9941	55	1	49.45	49.45	NUM
fcis-9941	55	2	72.36	72.36	NUM
fcis-9941	55	3	10.93	10.93	NUM
fcis-9941	55	4	48.02	48.02	NUM
fcis-9941	55	5	62.20	62.20	NUM
fcis-9941	55	6	78.80	78.80	NUM
fcis-9941	55	7	41.60	41.60	NUM
fcis-9941	55	8	54.50	54.50	NUM
fcis-9941	55	9	regat[5	regat[5	PROPN
fcis-9941	55	10	]	]	PUNCT
fcis-9941	55	11	updn	updn	NOUN
fcis-9941	55	12	40.42	40.42	NUM
fcis-9941	55	13	67.18	67.18	NUM
fcis-9941	55	14	esr[26	esr[26	PROPN
fcis-9941	55	15	]	]	PUNCT
fcis-9941	55	16	updn	updn	NOUN
fcis-9941	55	17	48.90	48.90	NUM
fcis-9941	55	18	69.80	69.80	NUM
fcis-9941	55	19	11.30	11.30	NUM
fcis-9941	55	20	47.80	47.80	NUM
fcis-9941	55	21	62.60	62.60	NUM
fcis-9941	55	22	vgqe[27	vgqe[27	NOUN
fcis-9941	55	23	]	]	PUNCT
fcis-9941	55	24	updn	updn	NOUN
fcis-9941	55	25	48.75	48.75	NUM
fcis-9941	55	26	64.04	64.04	NUM
fcis-9941	55	27	picture[6	picture[6	SYM
fcis-9941	55	28	]	]	PUNCT
fcis-9941	55	29	updn	updn	NOUN
fcis-9941	55	30	43.64	43.64	NUM
fcis-9941	55	31	45.13	45.13	NUM
fcis-9941	55	32	20.06	20.06	NUM
fcis-9941	55	33	49.33	49.33	NUM
fcis-9941	55	34	69.74	69.74	NUM
fcis-9941	55	35	87.91	87.91	NUM
fcis-9941	55	36	56.47	56.47	NUM
fcis-9941	55	37	59.43	59.43	NUM
fcis-9941	55	38	sar[7	sar[7	NOUN
fcis-9941	55	39	]	]	PUNCT
fcis-9941	55	40	updn	updn	NOUN
fcis-9941	55	41	61.71	61.71	NUM
fcis-9941	55	42	kan[28	kan[28	PROPN
fcis-9941	55	43	]	]	PUNCT
fcis-9941	55	44	updn	updn	NOUN
fcis-9941	55	45	42.60	42.60	NUM
fcis-9941	55	46	42.12	42.12	NUM
fcis-9941	55	47	15.52	15.52	NUM
fcis-9941	55	48	50.28	50.28	NUM
fcis-9941	55	49	2.2.2	2.2.2	NUM
fcis-9941	55	50	.	.	PUNCT
fcis-9941	56	1	methods	method	NOUN
fcis-9941	56	2	based	base	VERB
fcis-9941	56	3	on	on	ADP
fcis-9941	56	4	weakening	weaken	VERB
fcis-9941	56	5	language	language	NOUN
fcis-9941	56	6	priors	prior	NOUN
fcis-9941	56	7	ramakrishnan	ramakrishnan	VERB
fcis-9941	56	8	et	et	PROPN
fcis-9941	56	9	al	al	PROPN
fcis-9941	56	10	.	.	PUNCT
fcis-9941	57	1	[	[	X
fcis-9941	57	2	8	8	NUM
fcis-9941	57	3	]	]	PUNCT
fcis-9941	57	4	introduced	introduce	VERB
fcis-9941	57	5	adversarial	adversarial	ADJ
fcis-9941	57	6	regularization	regularization	NOUN
fcis-9941	57	7	(	(	PUNCT
fcis-9941	57	8	advreg	advreg	NOUN
fcis-9941	57	9	)	)	PUNCT
fcis-9941	57	10	to	to	ADP
fcis-9941	57	11	the	the	DET
fcis-9941	57	12	visual	visual	ADJ
fcis-9941	57	13	question	question	NOUN
fcis-9941	57	14	answering	answering	NOUN
fcis-9941	57	15	task	task	NOUN
fcis-9941	57	16	.	.	PUNCT
fcis-9941	58	1	it	it	PRON
fcis-9941	58	2	introduces	introduce	VERB
fcis-9941	58	3	a	a	DET
fcis-9941	58	4	question	question	NOUN
fcis-9941	58	5	-	-	PUNCT
fcis-9941	58	6	only	only	ADJ
fcis-9941	58	7	model	model	NOUN
fcis-9941	58	8	that	that	PRON
fcis-9941	58	9	uses	use	VERB
fcis-9941	58	10	the	the	DET
fcis-9941	58	11	question	question	NOUN
fcis-9941	58	12	encoding	encoding	NOUN
fcis-9941	58	13	in	in	ADP
fcis-9941	58	14	the	the	DET
fcis-9941	58	15	vqa	vqa	PROPN
fcis-9941	58	16	model	model	NOUN
fcis-9941	58	17	as	as	ADP
fcis-9941	58	18	input	input	NOUN
fcis-9941	58	19	to	to	PART
fcis-9941	58	20	capture	capture	VERB
fcis-9941	58	21	as	as	ADV
fcis-9941	58	22	much	much	ADJ
fcis-9941	58	23	language	language	NOUN
fcis-9941	58	24	bias	bias	NOUN
fcis-9941	58	25	information	information	NOUN
fcis-9941	58	26	as	as	ADP
fcis-9941	58	27	possible	possible	ADJ
fcis-9941	58	28	in	in	ADP
fcis-9941	58	29	the	the	DET
fcis-9941	58	30	question	question	NOUN
fcis-9941	58	31	encoding	encoding	NOUN
fcis-9941	58	32	of	of	ADP
fcis-9941	58	33	the	the	DET
fcis-9941	58	34	model	model	NOUN
fcis-9941	58	35	,	,	PUNCT
fcis-9941	58	36	as	as	SCONJ
fcis-9941	58	37	shown	show	VERB
fcis-9941	58	38	in	in	ADP
fcis-9941	58	39	figure	figure	NOUN
fcis-9941	58	40	1	1	NUM
fcis-9941	58	41	.	.	PUNCT
fcis-9941	59	1	then	then	ADV
fcis-9941	59	2	,	,	PUNCT
fcis-9941	59	3	the	the	DET
fcis-9941	59	4	training	training	NOUN
fcis-9941	59	5	process	process	NOUN
fcis-9941	59	6	is	be	AUX
fcis-9941	59	7	regarded	regard	VERB
fcis-9941	59	8	as	as	ADP
fcis-9941	59	9	an	an	DET
fcis-9941	59	10	adversarial	adversarial	ADJ
fcis-9941	59	11	training	training	NOUN
fcis-9941	59	12	between	between	ADP
fcis-9941	59	13	the	the	DET
fcis-9941	59	14	main	main	ADJ
fcis-9941	59	15	visual	visual	ADJ
fcis-9941	59	16	question	question	NOUN
fcis-9941	59	17	answering	answering	NOUN
fcis-9941	59	18	model	model	NOUN
fcis-9941	59	19	and	and	CCONJ
fcis-9941	59	20	the	the	DET
fcis-9941	59	21	questiononly	questiononly	ADJ
fcis-9941	59	22	model	model	NOUN
fcis-9941	59	23	to	to	PART
fcis-9941	59	24	prevent	prevent	VERB
fcis-9941	59	25	the	the	DET
fcis-9941	59	26	main	main	ADJ
fcis-9941	59	27	model	model	NOUN
fcis-9941	59	28	from	from	ADP
fcis-9941	59	29	continuing	continue	VERB
fcis-9941	59	30	to	to	PART
fcis-9941	59	31	use	use	VERB
fcis-9941	59	32	the	the	DET
fcis-9941	59	33	language	language	NOUN
fcis-9941	59	34	bias	bias	NOUN
fcis-9941	59	35	information	information	NOUN
fcis-9941	59	36	captured	capture	VERB
fcis-9941	59	37	by	by	ADP
fcis-9941	59	38	the	the	DET
fcis-9941	59	39	question	question	NOUN
fcis-9941	59	40	-	-	PUNCT
fcis-9941	59	41	only	only	ADJ
fcis-9941	59	42	model	model	NOUN
fcis-9941	59	43	during	during	ADP
fcis-9941	59	44	the	the	DET
fcis-9941	59	45	training	training	NOUN
fcis-9941	59	46	process	process	NOUN
fcis-9941	59	47	.	.	PUNCT
fcis-9941	60	1	at	at	ADP
fcis-9941	60	2	the	the	DET
fcis-9941	60	3	same	same	ADJ
fcis-9941	60	4	time	time	NOUN
fcis-9941	60	5	,	,	PUNCT
fcis-9941	60	6	the	the	DET
fcis-9941	60	7	article	article	NOUN
fcis-9941	60	8	introduces	introduce	VERB
fcis-9941	60	9	the	the	DET
fcis-9941	60	10	confidence	confidence	NOUN
fcis-9941	60	11	measurement	measurement	NOUN
fcis-9941	60	12	standard	standard	NOUN
fcis-9941	60	13	,	,	PUNCT
fcis-9941	60	14	which	which	PRON
fcis-9941	60	15	encourages	encourage	VERB
fcis-9941	60	16	the	the	DET
fcis-9941	60	17	model	model	NOUN
fcis-9941	60	18	to	to	PART
fcis-9941	60	19	pay	pay	VERB
fcis-9941	60	20	more	more	ADJ
fcis-9941	60	21	attention	attention	NOUN
fcis-9941	60	22	to	to	ADP
fcis-9941	60	23	visual	visual	ADJ
fcis-9941	60	24	information	information	NOUN
fcis-9941	60	25	by	by	ADP
fcis-9941	60	26	showing	show	VERB
fcis-9941	60	27	the	the	DET
fcis-9941	60	28	rule	rule	NOUN
fcis-9941	60	29	to	to	PART
fcis-9941	60	30	maximize	maximize	VERB
fcis-9941	60	31	the	the	DET
fcis-9941	60	32	confidence	confidence	NOUN
fcis-9941	60	33	difference	difference	NOUN
fcis-9941	60	34	between	between	ADP
fcis-9941	60	35	the	the	DET
fcis-9941	60	36	two	two	NUM
fcis-9941	60	37	models	model	NOUN
fcis-9941	60	38	.	.	PUNCT
fcis-9941	61	1	subsequently	subsequently	ADV
fcis-9941	61	2	,	,	PUNCT
fcis-9941	61	3	grand	grand	PROPN
fcis-9941	61	4	et	et	PROPN
fcis-9941	61	5	al	al	PROPN
fcis-9941	61	6	.	.	PUNCT
fcis-9941	62	1	[	[	X
fcis-9941	62	2	9	9	NUM
fcis-9941	62	3	]	]	PUNCT
fcis-9941	62	4	studied	study	VERB
fcis-9941	62	5	the	the	DET
fcis-9941	62	6	advantages	advantage	NOUN
fcis-9941	62	7	and	and	CCONJ
fcis-9941	62	8	disadvantages	disadvantage	NOUN
fcis-9941	62	9	of	of	ADP
fcis-9941	62	10	this	this	DET
fcis-9941	62	11	adversarial	adversarial	ADJ
fcis-9941	62	12	regularization	regularization	NOUN
fcis-9941	62	13	,	,	PUNCT
fcis-9941	62	14	and	and	CCONJ
fcis-9941	62	15	found	find	VERB
fcis-9941	62	16	some	some	DET
fcis-9941	62	17	undesirable	undesirable	ADJ
fcis-9941	62	18	side	side	NOUN
fcis-9941	62	19	effects	effect	NOUN
fcis-9941	62	20	of	of	ADP
fcis-9941	62	21	advreg	advreg	NOUN
fcis-9941	62	22	,	,	PUNCT
fcis-9941	62	23	including	include	VERB
fcis-9941	62	24	the	the	DET
fcis-9941	62	25	adversarial	adversarial	ADJ
fcis-9941	62	26	training	training	NOUN
fcis-9941	62	27	method	method	NOUN
fcis-9941	62	28	will	will	AUX
fcis-9941	62	29	bring	bring	VERB
fcis-9941	62	30	a	a	DET
fcis-9941	62	31	lot	lot	NOUN
fcis-9941	62	32	of	of	ADP
fcis-9941	62	33	noise	noise	NOUN
fcis-9941	62	34	to	to	ADP
fcis-9941	62	35	the	the	DET
fcis-9941	62	36	gradient	gradient	NOUN
fcis-9941	62	37	,	,	PUNCT
fcis-9941	62	38	resulting	result	VERB
fcis-9941	62	39	in	in	ADP
fcis-9941	62	40	unstable	unstable	ADJ
fcis-9941	62	41	gradients	gradient	NOUN
fcis-9941	62	42	and	and	CCONJ
fcis-9941	62	43	in	in	ADP
fcis-9941	62	44	-	-	PUNCT
fcis-9941	62	45	domain	domain	NOUN
fcis-9941	62	46	examples	example	NOUN
fcis-9941	62	47	.	.	PUNCT
fcis-9941	63	1	(	(	PUNCT
fcis-9941	63	2	indomain	indomain	NOUN
fcis-9941	63	3	example	example	NOUN
fcis-9941	63	4	)	)	PUNCT
fcis-9941	63	5	performance	performance	NOUN
fcis-9941	63	6	degrades	degrade	VERB
fcis-9941	63	7	dramatically	dramatically	ADV
fcis-9941	63	8	.	.	PUNCT
fcis-9941	64	1	this	this	DET
fcis-9941	64	2	study	study	NOUN
fcis-9941	64	3	shows	show	VERB
fcis-9941	64	4	that	that	SCONJ
fcis-9941	64	5	introducing	introduce	VERB
fcis-9941	64	6	regularization	regularization	NOUN
fcis-9941	64	7	during	during	ADP
fcis-9941	64	8	training	training	NOUN
fcis-9941	64	9	can	can	AUX
fcis-9941	64	10	help	help	VERB
fcis-9941	64	11	alleviate	alleviate	VERB
fcis-9941	64	12	the	the	DET
fcis-9941	64	13	above	above	ADJ
fcis-9941	64	14	problems	problem	NOUN
fcis-9941	64	15	but	but	CCONJ
fcis-9941	64	16	can	can	AUX
fcis-9941	64	17	not	not	PART
fcis-9941	64	18	completely	completely	ADV
fcis-9941	64	19	solve	solve	VERB
fcis-9941	64	20	them	they	PRON
fcis-9941	64	21	.	.	PUNCT
fcis-9941	65	1	through	through	ADP
fcis-9941	65	2	error	error	NOUN
fcis-9941	65	3	analysis	analysis	NOUN
fcis-9941	65	4	,	,	PUNCT
fcis-9941	65	5	it	it	PRON
fcis-9941	65	6	is	be	AUX
fcis-9941	65	7	found	find	VERB
fcis-9941	65	8	that	that	SCONJ
fcis-9941	65	9	advreg	advreg	NOUN
fcis-9941	65	10	improves	improve	VERB
fcis-9941	65	11	the	the	DET
fcis-9941	65	12	generalization	generalization	NOUN
fcis-9941	65	13	ability	ability	NOUN
fcis-9941	65	14	of	of	ADP
fcis-9941	65	15	binary	binary	ADJ
fcis-9941	65	16	questions	question	NOUN
fcis-9941	65	17	,	,	PUNCT
fcis-9941	65	18	but	but	CCONJ
fcis-9941	65	19	it	it	PRON
fcis-9941	65	20	will	will	AUX
fcis-9941	65	21	weaken	weaken	VERB
fcis-9941	65	22	the	the	DET
fcis-9941	65	23	performance	performance	NOUN
fcis-9941	65	24	on	on	ADP
fcis-9941	65	25	questions	question	NOUN
fcis-9941	65	26	with	with	ADP
fcis-9941	65	27	heterogeneous	heterogeneous	ADJ
fcis-9941	65	28	answer	answer	NOUN
fcis-9941	65	29	distribution	distribution	NOUN
fcis-9941	65	30	;	;	PUNCT
fcis-9941	65	31	it	it	PRON
fcis-9941	65	32	also	also	ADV
fcis-9941	65	33	finds	find	VERB
fcis-9941	65	34	that	that	SCONJ
fcis-9941	65	35	the	the	DET
fcis-9941	65	36	regularization	regularization	NOUN
fcis-9941	65	37	model	model	NOUN
fcis-9941	65	38	tends	tend	VERB
fcis-9941	65	39	to	to	PART
fcis-9941	65	40	rely	rely	VERB
fcis-9941	65	41	too	too	ADV
fcis-9941	65	42	much	much	ADJ
fcis-9941	65	43	on	on	ADP
fcis-9941	65	44	visual	visual	ADJ
fcis-9941	65	45	features	feature	NOUN
fcis-9941	65	46	,	,	PUNCT
fcis-9941	65	47	while	while	SCONJ
fcis-9941	65	48	ignoring	ignore	VERB
fcis-9941	65	49	the	the	DET
fcis-9941	65	50	important	important	ADJ
fcis-9941	65	51	in	in	ADP
fcis-9941	65	52	the	the	DET
fcis-9941	65	53	question	question	NOUN
fcis-9941	65	54	.	.	PUNCT
fcis-9941	66	1	language	language	NOUN
fcis-9941	66	2	clues	clue	NOUN
fcis-9941	66	3	.	.	PUNCT
fcis-9941	67	1	figure	figure	NOUN
fcis-9941	67	2	1	1	NUM
fcis-9941	67	3	.	.	PUNCT
fcis-9941	68	1	diagram	diagram	NOUN
fcis-9941	68	2	of	of	ADP
fcis-9941	68	3	introducing	introduce	VERB
fcis-9941	68	4	confrontational	confrontational	ADJ
fcis-9941	68	5	regularization	regularization	NOUN
fcis-9941	68	6	visual	visual	ADJ
fcis-9941	68	7	question	question	NOUN
fcis-9941	68	8	answering	answering	NOUN
fcis-9941	68	9	model	model	NOUN
fcis-9941	68	10	when	when	SCONJ
fcis-9941	68	11	training	train	VERB
fcis-9941	68	12	a	a	DET
fcis-9941	68	13	deep	deep	ADJ
fcis-9941	68	14	network	network	NOUN
fcis-9941	68	15	classifier	classifier	NOUN
fcis-9941	68	16	on	on	ADP
fcis-9941	68	17	a	a	DET
fcis-9941	68	18	multimodal	multimodal	ADJ
fcis-9941	68	19	dataset	dataset	NOUN
fcis-9941	68	20	,	,	PUNCT
fcis-9941	68	21	multimodal	multimodal	ADJ
fcis-9941	68	22	data	datum	NOUN
fcis-9941	68	23	is	be	AUX
fcis-9941	68	24	exploited	exploit	VERB
fcis-9941	68	25	at	at	ADP
fcis-9941	68	26	different	different	ADJ
fcis-9941	68	27	scales	scale	NOUN
fcis-9941	68	28	,	,	PUNCT
fcis-9941	68	29	all	all	DET
fcis-9941	68	30	modalities	modality	NOUN
fcis-9941	68	31	contribute	contribute	VERB
fcis-9941	68	32	to	to	ADP
fcis-9941	68	33	better	well	ADJ
fcis-9941	68	34	classification	classification	NOUN
fcis-9941	68	35	,	,	PUNCT
fcis-9941	68	36	and	and	CCONJ
fcis-9941	68	37	some	some	DET
fcis-9941	68	38	modalities	modality	NOUN
fcis-9941	68	39	are	be	AUX
fcis-9941	68	40	better	well	ADJ
fcis-9941	68	41	than	than	ADP
fcis-9941	68	42	others	other	NOUN
fcis-9941	68	43	in	in	ADP
fcis-9941	68	44	actual	actual	ADJ
fcis-9941	68	45	training	training	NOUN
fcis-9941	68	46	.	.	PUNCT
fcis-9941	69	1	states	state	NOUN
fcis-9941	69	2	are	be	AUX
fcis-9941	69	3	more	more	ADV
fcis-9941	69	4	likely	likely	ADJ
fcis-9941	69	5	to	to	PART
fcis-9941	69	6	contribute	contribute	VERB
fcis-9941	69	7	to	to	ADP
fcis-9941	69	8	the	the	DET
fcis-9941	69	9	classification	classification	NOUN
fcis-9941	69	10	results	result	NOUN
fcis-9941	69	11	.	.	PUNCT
fcis-9941	70	1	this	this	PRON
fcis-9941	70	2	is	be	AUX
fcis-9941	70	3	not	not	PART
fcis-9941	70	4	ideal	ideal	ADJ
fcis-9941	70	5	for	for	ADP
fcis-9941	70	6	training	training	NOUN
fcis-9941	70	7	because	because	SCONJ
fcis-9941	70	8	the	the	DET
fcis-9941	70	9	classifier	classifier	NOUN
fcis-9941	70	10	is	be	AUX
fcis-9941	70	11	inherently	inherently	ADV
fcis-9941	70	12	biased	biased	ADJ
fcis-9941	70	13	towards	towards	ADP
fcis-9941	70	14	a	a	DET
fcis-9941	70	15	subset	subset	NOUN
fcis-9941	70	16	of	of	ADP
fcis-9941	70	17	modalities	modality	NOUN
fcis-9941	70	18	causing	cause	VERB
fcis-9941	70	19	the	the	DET
fcis-9941	70	20	model	model	NOUN
fcis-9941	70	21	to	to	PART
fcis-9941	70	22	ignore	ignore	VERB
fcis-9941	70	23	data	datum	NOUN
fcis-9941	70	24	from	from	ADP
fcis-9941	70	25	one	one	NUM
fcis-9941	70	26	or	or	CCONJ
fcis-9941	70	27	more	more	ADJ
fcis-9941	70	28	other	other	ADJ
fcis-9941	70	29	modalities	modality	NOUN
fcis-9941	70	30	.	.	PUNCT
fcis-9941	71	1	in	in	ADP
fcis-9941	71	2	order	order	NOUN
fcis-9941	71	3	to	to	PART
fcis-9941	71	4	alleviate	alleviate	VERB
fcis-9941	71	5	this	this	DET
fcis-9941	71	6	shortcoming	shortcoming	NOUN
fcis-9941	71	7	,	,	PUNCT
fcis-9941	71	8	gat	gat	NOUN
fcis-9941	71	9	[	[	X
fcis-9941	71	10	10	10	NUM
fcis-9941	71	11	]	]	PUNCT
fcis-9941	71	12	et	et	PROPN
fcis-9941	71	13	al	al	PROPN
fcis-9941	71	14	.	.	PROPN
fcis-9941	71	15	proposed	propose	VERB
fcis-9941	71	16	a	a	DET
fcis-9941	71	17	new	new	ADJ
fcis-9941	71	18	48	48	NUM
fcis-9941	71	19	regularization	regularization	NOUN
fcis-9941	71	20	term	term	NOUN
fcis-9941	71	21	based	base	VERB
fcis-9941	71	22	on	on	ADP
fcis-9941	71	23	function	function	NOUN
fcis-9941	71	24	entropy	entropy	PROPN
fcis-9941	71	25	,	,	PUNCT
fcis-9941	71	26	which	which	PRON
fcis-9941	71	27	encourages	encourage	VERB
fcis-9941	71	28	to	to	PART
fcis-9941	71	29	balance	balance	VERB
fcis-9941	71	30	the	the	DET
fcis-9941	71	31	contribution	contribution	NOUN
fcis-9941	71	32	of	of	ADP
fcis-9941	71	33	each	each	DET
fcis-9941	71	34	modality	modality	NOUN
fcis-9941	71	35	to	to	ADP
fcis-9941	71	36	the	the	DET
fcis-9941	71	37	classification	classification	NOUN
fcis-9941	71	38	results	result	NOUN
fcis-9941	71	39	;	;	PUNCT
fcis-9941	71	40	and	and	CCONJ
fcis-9941	71	41	designed	design	VERB
fcis-9941	71	42	a	a	DET
fcis-9941	71	43	method	method	NOUN
fcis-9941	71	44	based	base	VERB
fcis-9941	71	45	on	on	ADP
fcis-9941	71	46	the	the	DET
fcis-9941	71	47	"	"	PUNCT
fcis-9941	71	48	log	log	NOUN
fcis-9941	71	49	-	-	PUNCT
fcis-9941	71	50	sobolev	sobolev	NOUN
fcis-9941	71	51	"	"	PUNCT
fcis-9941	71	52	inequality	inequality	NOUN
fcis-9941	71	53	method	method	NOUN
fcis-9941	71	54	,	,	PUNCT
fcis-9941	71	55	binding	bind	VERB
fcis-9941	71	56	the	the	DET
fcis-9941	71	57	function	function	NOUN
fcis-9941	71	58	entropy	entropy	NOUN
fcis-9941	71	59	with	with	ADP
fcis-9941	71	60	its	its	PRON
fcis-9941	71	61	fisher	fisher	PROPN
fcis-9941	71	62	information	information	NOUN
fcis-9941	71	63	to	to	PART
fcis-9941	71	64	maximize	maximize	VERB
fcis-9941	71	65	the	the	DET
fcis-9941	71	66	amount	amount	NOUN
fcis-9941	71	67	of	of	ADP
fcis-9941	71	68	information	information	NOUN
fcis-9941	71	69	contributed	contribute	VERB
fcis-9941	71	70	by	by	ADP
fcis-9941	71	71	the	the	DET
fcis-9941	71	72	mode	mode	NOUN
fcis-9941	71	73	.	.	PUNCT
fcis-9941	72	1	cadene	cadene	NOUN
fcis-9941	72	2	et	et	PROPN
fcis-9941	72	3	al	al	PROPN
fcis-9941	72	4	.	.	PUNCT
fcis-9941	73	1	[	[	X
fcis-9941	73	2	11	11	NUM
fcis-9941	73	3	]	]	PUNCT
fcis-9941	73	4	proposed	propose	VERB
fcis-9941	73	5	the	the	DET
fcis-9941	73	6	rubi	rubi	NOUN
fcis-9941	73	7	(	(	PUNCT
fcis-9941	73	8	reducing	reduce	VERB
fcis-9941	73	9	unimodal	unimodal	ADJ
fcis-9941	73	10	biases	bias	NOUN
fcis-9941	73	11	)	)	PUNCT
fcis-9941	73	12	training	training	NOUN
fcis-9941	73	13	strategy	strategy	NOUN
fcis-9941	73	14	to	to	PART
fcis-9941	73	15	reduce	reduce	VERB
fcis-9941	73	16	the	the	DET
fcis-9941	73	17	bias	bias	NOUN
fcis-9941	73	18	in	in	ADP
fcis-9941	73	19	the	the	DET
fcis-9941	73	20	visual	visual	ADJ
fcis-9941	73	21	question	question	NOUN
fcis-9941	73	22	answering	answering	NOUN
fcis-9941	73	23	model	model	NOUN
fcis-9941	73	24	.	.	PUNCT
fcis-9941	74	1	this	this	DET
fcis-9941	74	2	strategy	strategy	NOUN
fcis-9941	74	3	reduces	reduce	VERB
fcis-9941	74	4	the	the	DET
fcis-9941	74	5	most	most	ADV
fcis-9941	74	6	biased	biased	ADJ
fcis-9941	74	7	samples	sample	NOUN
fcis-9941	74	8	,	,	PUNCT
fcis-9941	74	9	that	that	ADV
fcis-9941	74	10	is	is	ADV
fcis-9941	74	11	,	,	PUNCT
fcis-9941	74	12	samples	sample	NOUN
fcis-9941	74	13	that	that	PRON
fcis-9941	74	14	can	can	AUX
fcis-9941	74	15	be	be	AUX
fcis-9941	74	16	answered	answer	VERB
fcis-9941	74	17	correctly	correctly	ADV
fcis-9941	74	18	without	without	ADP
fcis-9941	74	19	image	image	NOUN
fcis-9941	74	20	information	information	NOUN
fcis-9941	74	21	.	.	PUNCT
fcis-9941	75	1	the	the	DET
fcis-9941	75	2	visual	visual	ADJ
fcis-9941	75	3	question	question	NOUN
fcis-9941	75	4	answering	answer	VERB
fcis-9941	75	5	model	model	NOUN
fcis-9941	75	6	designed	design	VERB
fcis-9941	75	7	in	in	ADP
fcis-9941	75	8	this	this	DET
fcis-9941	75	9	article	article	NOUN
fcis-9941	75	10	uses	use	VERB
fcis-9941	75	11	two	two	NUM
fcis-9941	75	12	input	input	NOUN
fcis-9941	75	13	modules	module	NOUN
fcis-9941	75	14	to	to	PART
fcis-9941	75	15	replace	replace	VERB
fcis-9941	75	16	the	the	DET
fcis-9941	75	17	dependence	dependence	NOUN
fcis-9941	75	18	on	on	ADP
fcis-9941	75	19	the	the	DET
fcis-9941	75	20	surface	surface	NOUN
fcis-9941	75	21	correlation	correlation	NOUN
fcis-9941	75	22	between	between	ADP
fcis-9941	75	23	questions	question	NOUN
fcis-9941	75	24	and	and	CCONJ
fcis-9941	75	25	answers	answer	NOUN
fcis-9941	75	26	,	,	PUNCT
fcis-9941	75	27	and	and	CCONJ
fcis-9941	75	28	captures	capture	VERB
fcis-9941	75	29	language	language	NOUN
fcis-9941	75	30	bias	bias	NOUN
fcis-9941	75	31	during	during	ADP
fcis-9941	75	32	training	training	NOUN
fcis-9941	75	33	through	through	ADP
fcis-9941	75	34	a	a	DET
fcis-9941	75	35	question	question	NOUN
fcis-9941	75	36	-	-	PUNCT
fcis-9941	75	37	only	only	ADJ
fcis-9941	75	38	model	model	NOUN
fcis-9941	75	39	,	,	PUNCT
fcis-9941	75	40	through	through	ADP
fcis-9941	75	41	which	which	PRON
fcis-9941	75	42	the	the	DET
fcis-9941	75	43	loss	loss	NOUN
fcis-9941	75	44	is	be	AUX
fcis-9941	75	45	dynamically	dynamically	ADV
fcis-9941	75	46	adjusted	adjust	VERB
fcis-9941	75	47	to	to	PART
fcis-9941	75	48	compensate	compensate	VERB
fcis-9941	75	49	for	for	ADP
fcis-9941	75	50	the	the	DET
fcis-9941	75	51	effects	effect	NOUN
fcis-9941	75	52	of	of	ADP
fcis-9941	75	53	prejudice	prejudice	NOUN
fcis-9941	75	54	.	.	PUNCT
fcis-9941	76	1	the	the	DET
fcis-9941	76	2	specific	specific	ADJ
fcis-9941	76	3	process	process	NOUN
fcis-9941	76	4	refers	refer	VERB
fcis-9941	76	5	to	to	ADP
fcis-9941	76	6	treating	treat	VERB
fcis-9941	76	7	the	the	DET
fcis-9941	76	8	prediction	prediction	NOUN
fcis-9941	76	9	result	result	NOUN
fcis-9941	76	10	of	of	ADP
fcis-9941	76	11	the	the	DET
fcis-9941	76	12	problem	problem	NOUN
fcis-9941	76	13	model	model	NOUN
fcis-9941	76	14	as	as	ADP
fcis-9941	76	15	a	a	DET
fcis-9941	76	16	mask	mask	NOUN
fcis-9941	76	17	between	between	ADP
fcis-9941	76	18	0	0	NUM
fcis-9941	76	19	and	and	CCONJ
fcis-9941	76	20	1	1	NUM
fcis-9941	76	21	,	,	PUNCT
fcis-9941	76	22	and	and	CCONJ
fcis-9941	76	23	merging	merge	VERB
fcis-9941	76	24	the	the	DET
fcis-9941	76	25	prediction	prediction	NOUN
fcis-9941	76	26	result	result	NOUN
fcis-9941	76	27	distribution	distribution	NOUN
fcis-9941	76	28	of	of	ADP
fcis-9941	76	29	the	the	DET
fcis-9941	76	30	main	main	ADJ
fcis-9941	76	31	model	model	NOUN
fcis-9941	76	32	with	with	ADP
fcis-9941	76	33	the	the	DET
fcis-9941	76	34	prediction	prediction	NOUN
fcis-9941	76	35	distribution	distribution	NOUN
fcis-9941	76	36	of	of	ADP
fcis-9941	76	37	only	only	ADV
fcis-9941	76	38	the	the	DET
fcis-9941	76	39	problem	problem	NOUN
fcis-9941	76	40	model	model	NOUN
fcis-9941	76	41	before	before	ADP
fcis-9941	76	42	using	use	VERB
fcis-9941	76	43	the	the	DET
fcis-9941	76	44	prediction	prediction	NOUN
fcis-9941	76	45	result	result	NOUN
fcis-9941	76	46	to	to	PART
fcis-9941	76	47	calculate	calculate	VERB
fcis-9941	76	48	the	the	DET
fcis-9941	76	49	loss	loss	NOUN
fcis-9941	76	50	,	,	PUNCT
fcis-9941	76	51	and	and	CCONJ
fcis-9941	76	52	correcting	correct	VERB
fcis-9941	76	53	the	the	DET
fcis-9941	76	54	prediction	prediction	NOUN
fcis-9941	76	55	result	result	NOUN
fcis-9941	76	56	,	,	PUNCT
fcis-9941	76	57	the	the	DET
fcis-9941	76	58	mask	mask	NOUN
fcis-9941	76	59	is	be	AUX
fcis-9941	76	60	used	use	VERB
fcis-9941	76	61	to	to	PART
fcis-9941	76	62	dynamically	dynamically	ADV
fcis-9941	76	63	change	change	VERB
fcis-9941	76	64	the	the	DET
fcis-9941	76	65	loss	loss	NOUN
fcis-9941	76	66	,	,	PUNCT
fcis-9941	76	67	that	that	ADV
fcis-9941	76	68	is	is	ADV
fcis-9941	76	69	,	,	PUNCT
fcis-9941	76	70	the	the	DET
fcis-9941	76	71	mask	mask	NOUN
fcis-9941	76	72	is	be	AUX
fcis-9941	76	73	multiplied	multiply	VERB
fcis-9941	76	74	by	by	ADP
fcis-9941	76	75	the	the	DET
fcis-9941	76	76	original	original	ADJ
fcis-9941	76	77	prediction	prediction	NOUN
fcis-9941	76	78	result	result	NOUN
fcis-9941	76	79	to	to	PART
fcis-9941	76	80	generate	generate	VERB
fcis-9941	76	81	a	a	DET
fcis-9941	76	82	new	new	ADJ
fcis-9941	76	83	prediction	prediction	NOUN
fcis-9941	76	84	result	result	NOUN
fcis-9941	76	85	.	.	PUNCT
fcis-9941	77	1	it	it	PRON
fcis-9941	77	2	can	can	AUX
fcis-9941	77	3	be	be	AUX
fcis-9941	77	4	seen	see	VERB
fcis-9941	77	5	that	that	SCONJ
fcis-9941	77	6	this	this	DET
fcis-9941	77	7	strategy	strategy	NOUN
fcis-9941	77	8	increases	increase	VERB
fcis-9941	77	9	the	the	DET
fcis-9941	77	10	score	score	NOUN
fcis-9941	77	11	of	of	ADP
fcis-9941	77	12	the	the	DET
fcis-9941	77	13	correct	correct	ADJ
fcis-9941	77	14	answer	answer	NOUN
fcis-9941	77	15	through	through	ADP
fcis-9941	77	16	the	the	DET
fcis-9941	77	17	mask	mask	NOUN
fcis-9941	77	18	output	output	NOUN
fcis-9941	77	19	by	by	ADP
fcis-9941	77	20	the	the	DET
fcis-9941	77	21	question	question	NOUN
fcis-9941	77	22	model	model	NOUN
fcis-9941	77	23	and	and	CCONJ
fcis-9941	77	24	reduces	reduce	VERB
fcis-9941	77	25	the	the	DET
fcis-9941	77	26	score	score	NOUN
fcis-9941	77	27	of	of	ADP
fcis-9941	77	28	other	other	ADJ
fcis-9941	77	29	answers	answer	NOUN
fcis-9941	77	30	,	,	PUNCT
fcis-9941	77	31	which	which	PRON
fcis-9941	77	32	ultimately	ultimately	ADV
fcis-9941	77	33	leads	lead	VERB
fcis-9941	77	34	to	to	ADP
fcis-9941	77	35	a	a	DET
fcis-9941	77	36	reduction	reduction	NOUN
fcis-9941	77	37	in	in	ADP
fcis-9941	77	38	the	the	DET
fcis-9941	77	39	loss	loss	NOUN
fcis-9941	77	40	caused	cause	VERB
fcis-9941	77	41	by	by	ADP
fcis-9941	77	42	biased	biased	ADJ
fcis-9941	77	43	samples	sample	NOUN
fcis-9941	77	44	and	and	CCONJ
fcis-9941	77	45	reduces	reduce	VERB
fcis-9941	77	46	the	the	DET
fcis-9941	77	47	importance	importance	NOUN
fcis-9941	77	48	of	of	ADP
fcis-9941	77	49	biased	biased	ADJ
fcis-9941	77	50	samples	sample	NOUN
fcis-9941	77	51	.	.	PUNCT
fcis-9941	78	1	clark	clark	PROPN
fcis-9941	78	2	et	et	PROPN
fcis-9941	78	3	al	al	PROPN
fcis-9941	78	4	.	.	PUNCT
fcis-9941	79	1	[	[	X
fcis-9941	79	2	12	12	NUM
fcis-9941	79	3	]	]	PUNCT
fcis-9941	79	4	designed	design	VERB
fcis-9941	79	5	a	a	DET
fcis-9941	79	6	new	new	ADJ
fcis-9941	79	7	method	method	NOUN
fcis-9941	79	8	based	base	VERB
fcis-9941	79	9	on	on	ADP
fcis-9941	79	10	this	this	PRON
fcis-9941	79	11	.	.	PUNCT
fcis-9941	80	1	the	the	DET
fcis-9941	80	2	first	first	ADJ
fcis-9941	80	3	step	step	NOUN
fcis-9941	80	4	is	be	AUX
fcis-9941	80	5	still	still	ADV
fcis-9941	80	6	to	to	PART
fcis-9941	80	7	train	train	VERB
fcis-9941	80	8	a	a	DET
fcis-9941	80	9	question	question	NOUN
fcis-9941	80	10	-	-	PUNCT
fcis-9941	80	11	only	only	ADJ
fcis-9941	80	12	model	model	NOUN
fcis-9941	80	13	that	that	PRON
fcis-9941	80	14	captures	capture	VERB
fcis-9941	80	15	bias	bias	NOUN
fcis-9941	80	16	;	;	PUNCT
fcis-9941	80	17	the	the	DET
fcis-9941	80	18	second	second	ADJ
fcis-9941	80	19	step	step	NOUN
fcis-9941	80	20	is	be	AUX
fcis-9941	80	21	to	to	PART
fcis-9941	80	22	train	train	VERB
fcis-9941	80	23	a	a	DET
fcis-9941	80	24	main	main	ADJ
fcis-9941	80	25	model	model	NOUN
fcis-9941	80	26	that	that	PRON
fcis-9941	80	27	integrates	integrate	VERB
fcis-9941	80	28	the	the	DET
fcis-9941	80	29	question	question	NOUN
fcis-9941	80	30	-	-	PUNCT
fcis-9941	80	31	only	only	ADJ
fcis-9941	80	32	model	model	NOUN
fcis-9941	80	33	.	.	PUNCT
fcis-9941	81	1	when	when	SCONJ
fcis-9941	81	2	the	the	DET
fcis-9941	81	3	article	article	NOUN
fcis-9941	81	4	constructs	construct	VERB
fcis-9941	81	5	the	the	DET
fcis-9941	81	6	model	model	NOUN
fcis-9941	81	7	,	,	PUNCT
fcis-9941	81	8	it	it	PRON
fcis-9941	81	9	presupposes	presuppose	VERB
fcis-9941	81	10	a	a	DET
fcis-9941	81	11	strong	strong	ADJ
fcis-9941	81	12	assumption	assumption	NOUN
fcis-9941	81	13	that	that	SCONJ
fcis-9941	81	14	the	the	DET
fcis-9941	81	15	bias	bias	NOUN
fcis-9941	81	16	factors	factor	VERB
fcis-9941	81	17	in	in	ADP
fcis-9941	81	18	the	the	DET
fcis-9941	81	19	known	know	VERB
fcis-9941	81	20	samples	sample	NOUN
fcis-9941	81	21	are	be	AUX
fcis-9941	81	22	independent	independent	ADJ
fcis-9941	81	23	of	of	ADP
fcis-9941	81	24	other	other	ADJ
fcis-9941	81	25	factors	factor	NOUN
fcis-9941	81	26	except	except	SCONJ
fcis-9941	81	27	the	the	DET
fcis-9941	81	28	bias	bias	NOUN
fcis-9941	81	29	factors	factor	NOUN
fcis-9941	81	30	.	.	PUNCT
fcis-9941	82	1	because	because	SCONJ
fcis-9941	82	2	this	this	DET
fcis-9941	82	3	assumption	assumption	NOUN
fcis-9941	82	4	is	be	AUX
fcis-9941	82	5	too	too	ADV
fcis-9941	82	6	strong	strong	ADJ
fcis-9941	82	7	,	,	PUNCT
fcis-9941	82	8	the	the	DET
fcis-9941	82	9	article	article	NOUN
fcis-9941	82	10	introduces	introduce	VERB
fcis-9941	82	11	a	a	DET
fcis-9941	82	12	new	new	ADJ
fcis-9941	82	13	learning	learning	NOUN
fcis-9941	82	14	factor	factor	NOUN
fcis-9941	82	15	in	in	ADP
fcis-9941	82	16	subsequent	subsequent	ADJ
fcis-9941	82	17	experiments	experiment	NOUN
fcis-9941	82	18	to	to	PART
fcis-9941	82	19	show	show	VERB
fcis-9941	82	20	the	the	DET
fcis-9941	82	21	correlation	correlation	NOUN
fcis-9941	82	22	between	between	ADP
fcis-9941	82	23	the	the	DET
fcis-9941	82	24	two	two	NUM
fcis-9941	82	25	.	.	PUNCT
fcis-9941	83	1	and	and	CCONJ
fcis-9941	83	2	for	for	ADP
fcis-9941	83	3	the	the	DET
fcis-9941	83	4	case	case	NOUN
fcis-9941	83	5	where	where	SCONJ
fcis-9941	83	6	is	be	AUX
fcis-9941	83	7	zero	zero	NUM
fcis-9941	83	8	,	,	PUNCT
fcis-9941	83	9	a	a	DET
fcis-9941	83	10	regularization	regularization	NOUN
fcis-9941	83	11	method	method	NOUN
fcis-9941	83	12	that	that	PRON
fcis-9941	83	13	adds	add	VERB
fcis-9941	83	14	entropy	entropy	VERB
fcis-9941	83	15	penalties	penalty	NOUN
fcis-9941	83	16	to	to	ADP
fcis-9941	83	17	the	the	DET
fcis-9941	83	18	loss	loss	NOUN
fcis-9941	83	19	is	be	AUX
fcis-9941	83	20	designed	design	VERB
fcis-9941	83	21	,	,	PUNCT
fcis-9941	83	22	through	through	ADP
fcis-9941	83	23	which	which	PRON
fcis-9941	83	24	the	the	DET
fcis-9941	83	25	model	model	NOUN
fcis-9941	83	26	's	's	PART
fcis-9941	83	27	attention	attention	NOUN
fcis-9941	83	28	to	to	ADP
fcis-9941	83	29	the	the	DET
fcis-9941	83	30	answers	answer	NOUN
fcis-9941	83	31	of	of	ADP
fcis-9941	83	32	highly	highly	ADV
fcis-9941	83	33	biased	biased	ADJ
fcis-9941	83	34	samples	sample	NOUN
fcis-9941	83	35	is	be	AUX
fcis-9941	83	36	reduced	reduce	VERB
fcis-9941	83	37	.	.	PUNCT
fcis-9941	84	1	han	han	PROPN
fcis-9941	85	1	[	[	X
fcis-9941	85	2	13	13	NUM
fcis-9941	85	3	]	]	PUNCT
fcis-9941	85	4	et	et	PROPN
fcis-9941	85	5	al	al	PROPN
fcis-9941	85	6	.	.	PROPN
fcis-9941	85	7	analyzed	analyze	VERB
fcis-9941	85	8	several	several	ADJ
fcis-9941	85	9	robust	robust	ADJ
fcis-9941	85	10	visual	visual	ADJ
fcis-9941	85	11	question	question	NOUN
fcis-9941	85	12	answering	answering	NOUN
fcis-9941	85	13	models	model	NOUN
fcis-9941	85	14	through	through	ADP
fcis-9941	85	15	experiments	experiment	NOUN
fcis-9941	85	16	,	,	PUNCT
fcis-9941	85	17	and	and	CCONJ
fcis-9941	85	18	proposed	propose	VERB
fcis-9941	85	19	that	that	SCONJ
fcis-9941	85	20	language	language	NOUN
fcis-9941	85	21	bias	bias	NOUN
fcis-9941	85	22	in	in	ADP
fcis-9941	85	23	vqa	vqa	PROPN
fcis-9941	85	24	can	can	AUX
fcis-9941	85	25	be	be	AUX
fcis-9941	85	26	divided	divide	VERB
fcis-9941	85	27	into	into	ADP
fcis-9941	85	28	distribution	distribution	NOUN
fcis-9941	85	29	bias	bias	NOUN
fcis-9941	85	30	and	and	CCONJ
fcis-9941	85	31	shortcut	shortcut	NOUN
fcis-9941	85	32	bias	bias	NOUN
fcis-9941	85	33	,	,	PUNCT
fcis-9941	85	34	and	and	CCONJ
fcis-9941	85	35	based	base	VERB
fcis-9941	85	36	on	on	ADP
fcis-9941	85	37	this	this	PRON
fcis-9941	85	38	,	,	PUNCT
fcis-9941	85	39	a	a	DET
fcis-9941	85	40	greedy	greedy	ADJ
fcis-9941	85	41	gradient	gradient	NOUN
fcis-9941	85	42	integration	integration	NOUN
fcis-9941	85	43	(	(	PUNCT
fcis-9941	85	44	greedy	greedy	ADJ
fcis-9941	85	45	gradient	gradient	NOUN
fcis-9941	85	46	ensemble	ensemble	ADJ
fcis-9941	85	47	,	,	PUNCT
fcis-9941	85	48	gge	gge	NOUN
fcis-9941	85	49	)	)	PUNCT
fcis-9941	85	50	strategy	strategy	NOUN
fcis-9941	85	51	to	to	PART
fcis-9941	85	52	eliminate	eliminate	VERB
fcis-9941	85	53	these	these	DET
fcis-9941	85	54	two	two	NUM
fcis-9941	85	55	biases	bias	NOUN
fcis-9941	85	56	.	.	PUNCT
fcis-9941	86	1	gge	gge	PROPN
fcis-9941	86	2	combines	combine	VERB
fcis-9941	86	3	multiple	multiple	ADJ
fcis-9941	86	4	biased	biased	ADJ
fcis-9941	86	5	models	model	NOUN
fcis-9941	86	6	for	for	ADP
fcis-9941	86	7	integrated	integrated	ADJ
fcis-9941	86	8	training	training	NOUN
fcis-9941	86	9	to	to	PART
fcis-9941	86	10	achieve	achieve	VERB
fcis-9941	86	11	an	an	DET
fcis-9941	86	12	unbiased	unbiased	ADJ
fcis-9941	86	13	model	model	NOUN
fcis-9941	86	14	:	:	PUNCT
fcis-9941	86	15	a	a	DET
fcis-9941	86	16	greedy	greedy	ADJ
fcis-9941	86	17	strategy	strategy	NOUN
fcis-9941	86	18	is	be	AUX
fcis-9941	86	19	used	use	VERB
fcis-9941	86	20	to	to	PART
fcis-9941	86	21	force	force	VERB
fcis-9941	86	22	the	the	DET
fcis-9941	86	23	biased	biased	ADJ
fcis-9941	86	24	model	model	NOUN
fcis-9941	86	25	to	to	PART
fcis-9941	86	26	overfit	overfit	VERB
fcis-9941	86	27	the	the	DET
fcis-9941	86	28	biased	biased	ADJ
fcis-9941	86	29	data	datum	NOUN
fcis-9941	86	30	from	from	ADP
fcis-9941	86	31	the	the	DET
fcis-9941	86	32	beginning	beginning	NOUN
fcis-9941	86	33	,	,	PUNCT
fcis-9941	86	34	so	so	SCONJ
fcis-9941	86	35	that	that	SCONJ
fcis-9941	86	36	the	the	DET
fcis-9941	86	37	basic	basic	ADJ
fcis-9941	86	38	model	model	NOUN
fcis-9941	86	39	can	can	AUX
fcis-9941	86	40	pay	pay	VERB
fcis-9941	86	41	more	more	ADJ
fcis-9941	86	42	attention	attention	NOUN
fcis-9941	86	43	to	to	ADP
fcis-9941	86	44	the	the	DET
fcis-9941	86	45	biased	biased	ADJ
fcis-9941	86	46	model	model	NOUN
fcis-9941	86	47	that	that	PRON
fcis-9941	86	48	can	can	AUX
fcis-9941	86	49	not	not	PART
fcis-9941	86	50	be	be	AUX
fcis-9941	86	51	solved	solve	VERB
fcis-9941	86	52	of	of	ADP
fcis-9941	86	53	samples	sample	NOUN
fcis-9941	86	54	.	.	PUNCT
fcis-9941	87	1	experiments	experiment	NOUN
fcis-9941	87	2	show	show	VERB
fcis-9941	87	3	that	that	SCONJ
fcis-9941	87	4	this	this	DET
fcis-9941	87	5	method	method	NOUN
fcis-9941	87	6	can	can	AUX
fcis-9941	87	7	make	make	VERB
fcis-9941	87	8	better	well	ADJ
fcis-9941	87	9	use	use	NOUN
fcis-9941	87	10	of	of	ADP
fcis-9941	87	11	visual	visual	ADJ
fcis-9941	87	12	information	information	NOUN
fcis-9941	87	13	and	and	CCONJ
fcis-9941	87	14	achieve	achieve	VERB
fcis-9941	87	15	good	good	ADJ
fcis-9941	87	16	performance	performance	NOUN
fcis-9941	87	17	on	on	ADP
fcis-9941	87	18	the	the	DET
fcis-9941	87	19	vqa	vqa	PROPN
fcis-9941	87	20	-	-	PUNCT
fcis-9941	87	21	cp	cp	PROPN
fcis-9941	87	22	dataset	dataset	NOUN
fcis-9941	87	23	without	without	ADP
fcis-9941	87	24	using	use	VERB
fcis-9941	87	25	additional	additional	ADJ
fcis-9941	87	26	annotations	annotation	NOUN
fcis-9941	87	27	.	.	PUNCT
fcis-9941	88	1	figure	figure	NOUN
fcis-9941	88	2	2	2	NUM
fcis-9941	88	3	.	.	PUNCT
fcis-9941	89	1	rubi	rubi	ADJ
fcis-9941	89	2	training	training	NOUN
fcis-9941	89	3	strategy	strategy	NOUN
fcis-9941	89	4	diagram	diagram	NOUN
fcis-9941	89	5	shrestha	shrestha	PROPN
fcis-9941	89	6	et	et	PROPN
fcis-9941	89	7	al	al	PROPN
fcis-9941	89	8	.	.	PUNCT
fcis-9941	90	1	[	[	X
fcis-9941	90	2	23	23	NUM
fcis-9941	90	3	]	]	PUNCT
fcis-9941	90	4	pointed	point	VERB
fcis-9941	90	5	out	out	ADP
fcis-9941	90	6	in	in	ADP
fcis-9941	90	7	their	their	PRON
fcis-9941	90	8	article	article	NOUN
fcis-9941	90	9	that	that	SCONJ
fcis-9941	90	10	the	the	DET
fcis-9941	90	11	performance	performance	NOUN
fcis-9941	90	12	improvement	improvement	NOUN
fcis-9941	90	13	of	of	ADP
fcis-9941	90	14	the	the	DET
fcis-9941	90	15	method	method	NOUN
fcis-9941	90	16	of	of	ADP
fcis-9941	90	17	alleviating	alleviate	VERB
fcis-9941	90	18	vqa	vqa	PROPN
fcis-9941	90	19	language	language	NOUN
fcis-9941	90	20	bias	bias	NOUN
fcis-9941	90	21	is	be	AUX
fcis-9941	90	22	not	not	PART
fcis-9941	90	23	the	the	DET
fcis-9941	90	24	result	result	NOUN
fcis-9941	90	25	of	of	ADP
fcis-9941	90	26	improving	improve	VERB
fcis-9941	90	27	the	the	DET
fcis-9941	90	28	visual	visual	ADJ
fcis-9941	90	29	basis	basis	NOUN
fcis-9941	90	30	,	,	PUNCT
fcis-9941	90	31	but	but	CCONJ
fcis-9941	90	32	often	often	ADV
fcis-9941	90	33	the	the	DET
fcis-9941	90	34	result	result	NOUN
fcis-9941	90	35	of	of	ADP
fcis-9941	90	36	regularization	regularization	NOUN
fcis-9941	90	37	to	to	PART
fcis-9941	90	38	prevent	prevent	VERB
fcis-9941	90	39	over	over	ADP
fcis-9941	90	40	-	-	PUNCT
fcis-9941	90	41	fitting	fit	VERB
fcis-9941	90	42	language	language	NOUN
fcis-9941	90	43	priors	prior	NOUN
fcis-9941	90	44	,	,	PUNCT
fcis-9941	90	45	even	even	ADV
fcis-9941	90	46	if	if	SCONJ
fcis-9941	90	47	random	random	ADJ
fcis-9941	90	48	,	,	PUNCT
fcis-9941	90	49	irrelevant	irrelevant	ADJ
fcis-9941	90	50	the	the	DET
fcis-9941	90	51	visual	visual	ADJ
fcis-9941	90	52	cues	cue	NOUN
fcis-9941	90	53	of	of	ADP
fcis-9941	90	54	the	the	DET
fcis-9941	90	55	model	model	NOUN
fcis-9941	90	56	can	can	AUX
fcis-9941	90	57	also	also	ADV
fcis-9941	90	58	have	have	VERB
fcis-9941	90	59	a	a	DET
fcis-9941	90	60	similar	similar	ADJ
fcis-9941	90	61	improvement	improvement	NOUN
fcis-9941	90	62	effect	effect	NOUN
fcis-9941	90	63	on	on	ADP
fcis-9941	90	64	the	the	DET
fcis-9941	90	65	model	model	NOUN
fcis-9941	90	66	.	.	PUNCT
fcis-9941	91	1	the	the	DET
fcis-9941	91	2	article	article	NOUN
fcis-9941	91	3	further	far	ADV
fcis-9941	91	4	demonstrates	demonstrate	VERB
fcis-9941	91	5	that	that	SCONJ
fcis-9941	91	6	there	there	PRON
fcis-9941	91	7	is	be	VERB
fcis-9941	91	8	no	no	DET
fcis-9941	91	9	statistically	statistically	ADV
fcis-9941	91	10	significant	significant	ADJ
fcis-9941	91	11	change	change	NOUN
fcis-9941	91	12	in	in	ADP
fcis-9941	91	13	model	model	NOUN
fcis-9941	91	14	predictions	prediction	NOUN
fcis-9941	91	15	for	for	ADP
fcis-9941	91	16	correlated	correlate	VERB
fcis-9941	91	17	,	,	PUNCT
fcis-9941	91	18	unrelated	unrelated	ADJ
fcis-9941	91	19	,	,	PUNCT
fcis-9941	91	20	or	or	CCONJ
fcis-9941	91	21	random	random	ADJ
fcis-9941	91	22	regions	region	NOUN
fcis-9941	91	23	.	.	PUNCT
fcis-9941	92	1	therefore	therefore	ADV
fcis-9941	92	2	,	,	PUNCT
fcis-9941	92	3	the	the	DET
fcis-9941	92	4	article	article	NOUN
fcis-9941	92	5	proposes	propose	VERB
fcis-9941	92	6	a	a	DET
fcis-9941	92	7	regularization	regularization	NOUN
fcis-9941	92	8	method	method	NOUN
fcis-9941	92	9	under	under	ADP
fcis-9941	92	10	the	the	DET
fcis-9941	92	11	assumption	assumption	NOUN
fcis-9941	92	12	that	that	SCONJ
fcis-9941	92	13	degrading	degrade	VERB
fcis-9941	92	14	the	the	DET
fcis-9941	92	15	model	model	NOUN
fcis-9941	92	16	on	on	ADP
fcis-9941	92	17	the	the	DET
fcis-9941	92	18	training	training	NOUN
fcis-9941	92	19	set	set	NOUN
fcis-9941	92	20	will	will	AUX
fcis-9941	92	21	reduce	reduce	VERB
fcis-9941	92	22	its	its	PRON
fcis-9941	92	23	dependence	dependence	NOUN
fcis-9941	92	24	on	on	ADP
fcis-9941	92	25	language	language	NOUN
fcis-9941	92	26	priors	prior	NOUN
fcis-9941	92	27	and	and	CCONJ
fcis-9941	92	28	improve	improve	VERB
fcis-9941	92	29	test	test	NOUN
fcis-9941	92	30	accuracy	accuracy	NOUN
fcis-9941	92	31	.	.	PUNCT
fcis-9941	93	1	this	this	DET
fcis-9941	93	2	method	method	NOUN
fcis-9941	93	3	always	always	ADV
fcis-9941	93	4	penalizes	penalize	VERB
fcis-9941	93	5	the	the	DET
fcis-9941	93	6	model	model	NOUN
fcis-9941	93	7	regardless	regardless	ADV
fcis-9941	93	8	of	of	ADP
fcis-9941	93	9	whether	whether	SCONJ
fcis-9941	93	10	its	its	PRON
fcis-9941	93	11	predictions	prediction	NOUN
fcis-9941	93	12	are	be	AUX
fcis-9941	93	13	correct	correct	ADJ
fcis-9941	93	14	or	or	CCONJ
fcis-9941	93	15	not	not	PART
fcis-9941	93	16	,	,	PUNCT
fcis-9941	93	17	in	in	ADP
fcis-9941	93	18	order	order	NOUN
fcis-9941	93	19	to	to	PART
fcis-9941	93	20	achieve	achieve	VERB
fcis-9941	93	21	the	the	DET
fcis-9941	93	22	purpose	purpose	NOUN
fcis-9941	93	23	of	of	ADP
fcis-9941	93	24	model	model	NOUN
fcis-9941	93	25	degradation	degradation	NOUN
fcis-9941	93	26	.	.	PUNCT
fcis-9941	94	1	it	it	PRON
fcis-9941	94	2	is	be	AUX
fcis-9941	94	3	worth	worth	ADJ
fcis-9941	94	4	mentioning	mention	VERB
fcis-9941	94	5	that	that	SCONJ
fcis-9941	94	6	the	the	DET
fcis-9941	94	7	article	article	NOUN
fcis-9941	94	8	questioned	question	VERB
fcis-9941	94	9	whether	whether	SCONJ
fcis-9941	94	10	visual	visual	ADJ
fcis-9941	94	11	cues	cue	NOUN
fcis-9941	94	12	were	be	AUX
fcis-9941	94	13	actually	actually	ADV
fcis-9941	94	14	used	use	VERB
fcis-9941	94	15	.	.	PUNCT
fcis-9941	95	1	table	table	NOUN
fcis-9941	95	2	2	2	NUM
fcis-9941	95	3	.	.	PUNCT
fcis-9941	95	4	methods	method	NOUN
fcis-9941	95	5	based	base	VERB
fcis-9941	95	6	on	on	ADP
fcis-9941	95	7	weakening	weaken	VERB
fcis-9941	95	8	language	language	NOUN
fcis-9941	95	9	priors	prior	NOUN
fcis-9941	95	10	[	[	X
fcis-9941	95	11	24	24	NUM
fcis-9941	95	12	]	]	PUNCT
fcis-9941	95	13	methods	method	NOUN
fcis-9941	95	14	base	base	VERB
fcis-9941	95	15	vqa	vqa	PROPN
fcis-9941	95	16	-	-	PUNCT
fcis-9941	95	17	cp	cp	NUM
fcis-9941	95	18	v2	v2	PROPN
fcis-9941	95	19	test	test	NOUN
fcis-9941	95	20	vqa	vqa	PROPN
fcis-9941	95	21	v2	v2	PROPN
fcis-9941	95	22	val	val	NOUN
fcis-9941	95	23	all	all	PRON
fcis-9941	95	24	y	y	PROPN
fcis-9941	95	25	/	/	SYM
fcis-9941	95	26	n	n	CCONJ
fcis-9941	95	27	num	num	ADJ
fcis-9941	95	28	other	other	ADJ
fcis-9941	95	29	all	all	DET
fcis-9941	95	30	y	y	PROPN
fcis-9941	95	31	/	/	SYM
fcis-9941	95	32	n	n	CCONJ
fcis-9941	95	33	num	num	ADJ
fcis-9941	95	34	other	other	ADJ
fcis-9941	95	35	advreg[8	advreg[8	NOUN
fcis-9941	95	36	]	]	PUNCT
fcis-9941	95	37	updn	updn	NOUN
fcis-9941	95	38	41.17	41.17	NUM
fcis-9941	95	39	65.49	65.49	NUM
fcis-9941	95	40	15.48	15.48	NUM
fcis-9941	95	41	34.48	34.48	NUM
fcis-9941	95	42	62.75	62.75	NUM
fcis-9941	95	43	79.84	79.84	NUM
fcis-9941	95	44	42.35	42.35	NUM
fcis-9941	95	45	55.16	55.16	NUM
fcis-9941	95	46	grl[9	grl[9	NOUN
fcis-9941	95	47	]	]	PUNCT
fcis-9941	95	48	updn	updn	NOUN
fcis-9941	95	49	42.33	42.33	NUM
fcis-9941	95	50	59.74	59.74	NUM
fcis-9941	95	51	14.78	14.78	NUM
fcis-9941	95	52	40.76	40.76	NUM
fcis-9941	95	53	rubi[11	rubi[11	NOUN
fcis-9941	95	54	]	]	PUNCT
fcis-9941	95	55	updn	updn	NOUN
fcis-9941	95	56	44.23	44.23	NUM
fcis-9941	95	57	67.05	67.05	NUM
fcis-9941	95	58	17.48	17.48	NUM
fcis-9941	95	59	39.61	39.61	NUM
fcis-9941	95	60	lm[12	lm[12	PROPN
fcis-9941	95	61	]	]	PUNCT
fcis-9941	95	62	updn	updn	NOUN
fcis-9941	95	63	48.78	48.78	NUM
fcis-9941	95	64	72.78	72.78	NUM
fcis-9941	95	65	14.61	14.61	NUM
fcis-9941	95	66	45.58	45.58	NUM
fcis-9941	95	67	63.26	63.26	NUM
fcis-9941	95	68	81.16	81.16	NUM
fcis-9941	95	69	42.22	42.22	NUM
fcis-9941	95	70	55.22	55.22	NUM
fcis-9941	95	71	lm+h[12	lm+h[12	PROPN
fcis-9941	95	72	]	]	PUNCT
fcis-9941	95	73	updn	updn	NOUN
fcis-9941	95	74	52.01	52.01	NUM
fcis-9941	95	75	72.58	72.58	NUM
fcis-9941	95	76	31.12	31.12	NUM
fcis-9941	95	77	46.97	46.97	NUM
fcis-9941	95	78	56.35	56.35	NUM
fcis-9941	95	79	65.06	65.06	NUM
fcis-9941	95	80	37.63	37.63	NUM
fcis-9941	95	81	54.69	54.69	NUM
fcis-9941	95	82	semantic[21	semantic[21	PROPN
fcis-9941	95	83	]	]	PUNCT
fcis-9941	95	84	updn	updn	NOUN
fcis-9941	95	85	47.50	47.50	NUM
fcis-9941	95	86	rmfe[10	rmfe[10	NOUN
fcis-9941	95	87	]	]	PUNCT
fcis-9941	95	88	updn	updn	NOUN
fcis-9941	95	89	54.55	54.55	NUM
fcis-9941	95	90	74.03	74.03	NUM
fcis-9941	95	91	49.16	49.16	NUM
fcis-9941	95	92	45.82	45.82	NUM
fcis-9941	95	93	gge	gge	PROPN
fcis-9941	95	94	-	-	PUNCT
fcis-9941	95	95	dq[13	dq[13	PROPN
fcis-9941	95	96	]	]	PUNCT
fcis-9941	95	97	updn	updn	NOUN
fcis-9941	95	98	57.32	57.32	NUM
fcis-9941	96	1	87.04	87.04	NUM
fcis-9941	96	2	27.75	27.75	NUM
fcis-9941	96	3	49.59	49.59	NUM
fcis-9941	96	4	59.11	59.11	NUM
fcis-9941	96	5	73.27	73.27	NUM
fcis-9941	96	6	39.99	39.99	NUM
fcis-9941	96	7	54.39	54.39	NUM
fcis-9941	96	8	lpf[29	lpf[29	X
fcis-9941	96	9	]	]	PUNCT
fcis-9941	96	10	updn	updn	NOUN
fcis-9941	96	11	55.34	55.34	NUM
fcis-9941	96	12	88.61	88.61	NUM
fcis-9941	96	13	23.78	23.78	NUM
fcis-9941	96	14	46.57	46.57	NUM
fcis-9941	96	15	55.01	55.01	NUM
fcis-9941	96	16	64.87	64.87	NUM
fcis-9941	96	17	37.45	37.45	NUM
fcis-9941	96	18	52.08	52.08	NUM
fcis-9941	96	19	2.2.3	2.2.3	NUM
fcis-9941	96	20	.	.	PUNCT
fcis-9941	96	21	methods	method	NOUN
fcis-9941	96	22	based	base	VERB
fcis-9941	96	23	on	on	ADP
fcis-9941	96	24	data	datum	NOUN
fcis-9941	96	25	argumentation	argumentation	NOUN
fcis-9941	96	26	hirota	hirota	NOUN
fcis-9941	97	1	[	[	X
fcis-9941	97	2	6	6	NUM
fcis-9941	97	3	]	]	PUNCT
fcis-9941	97	4	et	et	PROPN
fcis-9941	97	5	al	al	PROPN
fcis-9941	97	6	.	.	PUNCT
fcis-9941	97	7	use	use	VERB
fcis-9941	97	8	descriptive	descriptive	ADJ
fcis-9941	97	9	text	text	NOUN
fcis-9941	97	10	to	to	PART
fcis-9941	97	11	replace	replace	VERB
fcis-9941	97	12	traditional	traditional	ADJ
fcis-9941	97	13	deep	deep	ADJ
fcis-9941	97	14	visual	visual	ADJ
fcis-9941	97	15	features	feature	NOUN
fcis-9941	97	16	,	,	PUNCT
fcis-9941	97	17	while	while	SCONJ
fcis-9941	97	18	increasing	increase	VERB
fcis-9941	97	19	the	the	DET
fcis-9941	97	20	diversity	diversity	NOUN
fcis-9941	97	21	of	of	ADP
fcis-9941	97	22	training	training	NOUN
fcis-9941	97	23	data	datum	NOUN
fcis-9941	97	24	to	to	PART
fcis-9941	97	25	avoid	avoid	VERB
fcis-9941	97	26	learning	learn	VERB
fcis-9941	97	27	language	language	NOUN
fcis-9941	97	28	bias	bias	NOUN
fcis-9941	97	29	.	.	PUNCT
fcis-9941	98	1	experiments	experiment	NOUN
fcis-9941	98	2	show	show	VERB
fcis-9941	98	3	that	that	SCONJ
fcis-9941	98	4	49	49	NUM
fcis-9941	98	5	most	most	ADJ
fcis-9941	98	6	data	datum	NOUN
fcis-9941	98	7	augmentation	augmentation	NOUN
fcis-9941	98	8	techniques	technique	NOUN
fcis-9941	98	9	improve	improve	VERB
fcis-9941	98	10	model	model	NOUN
fcis-9941	98	11	performance	performance	NOUN
fcis-9941	98	12	,	,	PUNCT
fcis-9941	98	13	especially	especially	ADV
fcis-9941	98	14	question	question	NOUN
fcis-9941	98	15	-	-	PUNCT
fcis-9941	98	16	based	base	VERB
fcis-9941	98	17	back	back	NOUN
fcis-9941	98	18	-	-	PUNCT
fcis-9941	98	19	translation	translation	NOUN
fcis-9941	98	20	performs	perform	VERB
fcis-9941	98	21	very	very	ADV
fcis-9941	98	22	well	well	ADV
fcis-9941	98	23	.	.	PUNCT
fcis-9941	99	1	chen	chen	PROPN
fcis-9941	99	2	et	et	PROPN
fcis-9941	99	3	al	al	PROPN
fcis-9941	100	1	[	[	X
fcis-9941	100	2	15	15	NUM
fcis-9941	100	3	]	]	PUNCT
fcis-9941	100	4	proposed	propose	VERB
fcis-9941	100	5	a	a	DET
fcis-9941	100	6	cross	cross	ADJ
fcis-9941	100	7	-	-	ADJ
fcis-9941	100	8	modal	modal	ADJ
fcis-9941	100	9	training	training	NOUN
fcis-9941	100	10	strategy	strategy	NOUN
fcis-9941	100	11	for	for	ADP
fcis-9941	100	12	model	model	ADJ
fcis-9941	100	13	-	-	PUNCT
fcis-9941	100	14	independent	independent	ADJ
fcis-9941	100	15	counterfactual	counterfactual	ADJ
fcis-9941	100	16	samples	sample	NOUN
fcis-9941	100	17	synthesizing	synthesize	VERB
fcis-9941	100	18	and	and	CCONJ
fcis-9941	100	19	training	training	NOUN
fcis-9941	100	20	(	(	PUNCT
fcis-9941	100	21	csst	csst	NOUN
fcis-9941	100	22	)	)	PUNCT
fcis-9941	100	23	,	,	PUNCT
fcis-9941	100	24	where	where	SCONJ
fcis-9941	100	25	css	css	PROPN
fcis-9941	100	26	(	(	PUNCT
fcis-9941	100	27	counterfactual	counterfactual	ADJ
fcis-9941	100	28	samples	sample	NOUN
fcis-9941	100	29	synthesizing	synthesize	VERB
fcis-9941	100	30	)	)	PUNCT
fcis-9941	100	31	consists	consist	VERB
fcis-9941	100	32	of	of	ADP
fcis-9941	100	33	two	two	NUM
fcis-9941	100	34	types	type	NOUN
fcis-9941	100	35	of	of	ADP
fcis-9941	100	36	sample	sample	NOUN
fcis-9941	100	37	synthesis	synthesis	NOUN
fcis-9941	100	38	:	:	PUNCT
fcis-9941	100	39	vcss	vcss	NOUN
fcis-9941	100	40	and	and	CCONJ
fcis-9941	100	41	q	q	NOUN
fcis-9941	100	42	-	-	PUNCT
fcis-9941	100	43	css	css	ADJ
fcis-9941	100	44	.	.	PUNCT
fcis-9941	101	1	for	for	ADP
fcis-9941	101	2	v	v	NOUN
fcis-9941	101	3	-	-	PUNCT
fcis-9941	101	4	css	css	ADJ
fcis-9941	101	5	,	,	PUNCT
fcis-9941	101	6	a	a	DET
fcis-9941	101	7	counterfactual	counterfactual	ADJ
fcis-9941	101	8	image	image	NOUN
fcis-9941	101	9	is	be	AUX
fcis-9941	101	10	synthesized	synthesize	VERB
fcis-9941	101	11	by	by	ADP
fcis-9941	101	12	masking	mask	VERB
fcis-9941	101	13	key	key	ADJ
fcis-9941	101	14	objects	object	NOUN
fcis-9941	101	15	in	in	ADP
fcis-9941	101	16	the	the	DET
fcis-9941	101	17	original	original	ADJ
fcis-9941	101	18	image	image	NOUN
fcis-9941	101	19	,	,	PUNCT
fcis-9941	101	20	and	and	CCONJ
fcis-9941	101	21	a	a	DET
fcis-9941	101	22	new	new	ADJ
fcis-9941	101	23	image	image	NOUN
fcis-9941	101	24	-	-	PUNCT
fcis-9941	101	25	question	question	NOUN
fcis-9941	101	26	(	(	PUNCT
fcis-9941	101	27	vq	vq	NOUN
fcis-9941	101	28	)	)	PUNCT
fcis-9941	101	29	pair	pair	NOUN
fcis-9941	101	30	is	be	AUX
fcis-9941	101	31	composed	compose	VERB
fcis-9941	101	32	of	of	ADP
fcis-9941	101	33	the	the	DET
fcis-9941	101	34	generated	generate	VERB
fcis-9941	101	35	counterfactual	counterfactual	ADJ
fcis-9941	101	36	image	image	NOUN
fcis-9941	101	37	and	and	CCONJ
fcis-9941	101	38	the	the	DET
fcis-9941	101	39	original	original	ADJ
fcis-9941	101	40	text	text	NOUN
fcis-9941	101	41	image	image	NOUN
fcis-9941	101	42	;	;	PUNCT
fcis-9941	101	43	for	for	ADP
fcis-9941	101	44	q	q	NOUN
fcis-9941	101	45	-	-	PUNCT
fcis-9941	101	46	css	css	ADJ
fcis-9941	101	47	,	,	PUNCT
fcis-9941	101	48	by	by	ADP
fcis-9941	101	49	using	use	VERB
fcis-9941	101	50	a	a	DET
fcis-9941	101	51	special	special	ADJ
fcis-9941	101	52	the	the	DET
fcis-9941	101	53	counterfactual	counterfactual	ADJ
fcis-9941	101	54	question	question	NOUN
fcis-9941	101	55	is	be	AUX
fcis-9941	101	56	synthesized	synthesize	VERB
fcis-9941	101	57	by	by	ADP
fcis-9941	101	58	replacing	replace	VERB
fcis-9941	101	59	keywords	keyword	NOUN
fcis-9941	101	60	in	in	ADP
fcis-9941	101	61	the	the	DET
fcis-9941	101	62	original	original	ADJ
fcis-9941	101	63	question	question	NOUN
fcis-9941	101	64	with	with	ADP
fcis-9941	101	65	the	the	DET
fcis-9941	101	66	tag	tag	NOUN
fcis-9941	101	67	"	"	PUNCT
fcis-9941	101	68	mask	mask	NOUN
fcis-9941	101	69	"	"	PUNCT
fcis-9941	101	70	,	,	PUNCT
fcis-9941	101	71	and	and	CCONJ
fcis-9941	101	72	a	a	DET
fcis-9941	101	73	new	new	ADJ
fcis-9941	101	74	vq	vq	NOUN
fcis-9941	101	75	pair	pair	NOUN
fcis-9941	101	76	is	be	AUX
fcis-9941	101	77	composed	compose	VERB
fcis-9941	101	78	of	of	ADP
fcis-9941	101	79	the	the	DET
fcis-9941	101	80	generated	generate	VERB
fcis-9941	101	81	counterfactual	counterfactual	ADJ
fcis-9941	101	82	question	question	NOUN
fcis-9941	101	83	and	and	CCONJ
fcis-9941	101	84	the	the	DET
fcis-9941	101	85	original	original	ADJ
fcis-9941	101	86	image	image	NOUN
fcis-9941	101	87	.	.	PUNCT
fcis-9941	102	1	for	for	ADP
fcis-9941	102	2	newly	newly	ADV
fcis-9941	102	3	generated	generate	VERB
fcis-9941	102	4	samples	sample	NOUN
fcis-9941	102	5	,	,	PUNCT
fcis-9941	102	6	a	a	DET
fcis-9941	102	7	dynamic	dynamic	ADJ
fcis-9941	102	8	answer	answer	NOUN
fcis-9941	102	9	allocation	allocation	NOUN
fcis-9941	102	10	mechanism	mechanism	NOUN
fcis-9941	102	11	is	be	AUX
fcis-9941	102	12	used	use	VERB
fcis-9941	102	13	to	to	PART
fcis-9941	102	14	form	form	VERB
fcis-9941	102	15	new	new	ADJ
fcis-9941	102	16	triplet	triplet	NOUN
fcis-9941	102	17	samples	sample	NOUN
fcis-9941	102	18	.	.	PUNCT
fcis-9941	103	1	by	by	ADP
fcis-9941	103	2	using	use	VERB
fcis-9941	103	3	this	this	DET
fcis-9941	103	4	method	method	NOUN
fcis-9941	103	5	for	for	ADP
fcis-9941	103	6	sample	sample	NOUN
fcis-9941	103	7	amplification	amplification	NOUN
fcis-9941	103	8	,	,	PUNCT
fcis-9941	103	9	the	the	DET
fcis-9941	103	10	model	model	NOUN
fcis-9941	103	11	can	can	AUX
fcis-9941	103	12	pay	pay	VERB
fcis-9941	103	13	more	more	ADJ
fcis-9941	103	14	attention	attention	NOUN
fcis-9941	103	15	to	to	ADP
fcis-9941	103	16	the	the	DET
fcis-9941	103	17	visual	visual	ADJ
fcis-9941	103	18	area	area	NOUN
fcis-9941	103	19	related	relate	VERB
fcis-9941	103	20	to	to	ADP
fcis-9941	103	21	the	the	DET
fcis-9941	103	22	question	question	NOUN
fcis-9941	103	23	,	,	PUNCT
fcis-9941	103	24	that	that	ADV
fcis-9941	103	25	is	is	ADV
fcis-9941	103	26	,	,	PUNCT
fcis-9941	103	27	to	to	PART
fcis-9941	103	28	answer	answer	VERB
fcis-9941	103	29	the	the	DET
fcis-9941	103	30	correct	correct	ADJ
fcis-9941	103	31	area	area	NOUN
fcis-9941	103	32	;	;	PUNCT
fcis-9941	103	33	and	and	CCONJ
fcis-9941	103	34	be	be	AUX
fcis-9941	103	35	sensitive	sensitive	ADJ
fcis-9941	103	36	to	to	ADP
fcis-9941	103	37	the	the	DET
fcis-9941	103	38	language	language	NOUN
fcis-9941	103	39	change	change	NOUN
fcis-9941	103	40	of	of	ADP
fcis-9941	103	41	the	the	DET
fcis-9941	103	42	question	question	NOUN
fcis-9941	103	43	,	,	PUNCT
fcis-9941	103	44	that	that	ADV
fcis-9941	103	45	is	is	ADV
fcis-9941	103	46	,	,	PUNCT
fcis-9941	103	47	when	when	SCONJ
fcis-9941	103	48	the	the	DET
fcis-9941	103	49	sensitive	sensitive	ADJ
fcis-9941	103	50	word	word	NOUN
fcis-9941	103	51	in	in	ADP
fcis-9941	103	52	the	the	DET
fcis-9941	103	53	question	question	NOUN
fcis-9941	103	54	changes	change	NOUN
fcis-9941	103	55	.	.	PUNCT
fcis-9941	104	1	the	the	DET
fcis-9941	104	2	answers	answer	NOUN
fcis-9941	104	3	to	to	PART
fcis-9941	104	4	should	should	AUX
fcis-9941	104	5	also	also	ADV
fcis-9941	104	6	change	change	VERB
fcis-9941	104	7	accordingly	accordingly	ADV
fcis-9941	104	8	,	,	PUNCT
fcis-9941	104	9	improving	improve	VERB
fcis-9941	104	10	the	the	DET
fcis-9941	104	11	visual	visual	ADJ
fcis-9941	104	12	interpretability	interpretability	NOUN
fcis-9941	104	13	and	and	CCONJ
fcis-9941	104	14	question	question	NOUN
fcis-9941	104	15	sensitivity	sensitivity	NOUN
fcis-9941	104	16	of	of	ADP
fcis-9941	104	17	the	the	DET
fcis-9941	104	18	model	model	NOUN
fcis-9941	104	19	.	.	PUNCT
fcis-9941	105	1	the	the	DET
fcis-9941	105	2	dynamic	dynamic	ADJ
fcis-9941	105	3	answer	answer	NOUN
fcis-9941	105	4	assignment	assignment	NOUN
fcis-9941	105	5	mechanism	mechanism	NOUN
fcis-9941	105	6	designed	design	VERB
fcis-9941	105	7	in	in	ADP
fcis-9941	105	8	this	this	DET
fcis-9941	105	9	paper	paper	NOUN
fcis-9941	105	10	approximates	approximate	VERB
fcis-9941	105	11	the	the	DET
fcis-9941	105	12	answers	answer	NOUN
fcis-9941	105	13	of	of	ADP
fcis-9941	105	14	all	all	DET
fcis-9941	105	15	synthesized	synthesize	VERB
fcis-9941	105	16	vision	vision	NOUN
fcis-9941	105	17	-	-	PUNCT
fcis-9941	105	18	question	question	NOUN
fcis-9941	105	19	pairs	pair	NOUN
fcis-9941	105	20	,	,	PUNCT
fcis-9941	105	21	avoiding	avoid	VERB
fcis-9941	105	22	expensive	expensive	ADJ
fcis-9941	105	23	human	human	ADJ
fcis-9941	105	24	annotations	annotation	NOUN
fcis-9941	105	25	.	.	PUNCT
fcis-9941	106	1	figure	figure	NOUN
fcis-9941	106	2	3	3	NUM
fcis-9941	106	3	.	.	PUNCT
fcis-9941	106	4	counterfactual	counterfactual	ADJ
fcis-9941	106	5	samples	sample	NOUN
fcis-9941	106	6	synthesizing	synthesize	VERB
fcis-9941	106	7	diagram	diagram	NOUN
fcis-9941	106	8	zhu	zhu	PROPN
fcis-9941	106	9	et	et	PROPN
fcis-9941	106	10	al	al	PROPN
fcis-9941	106	11	.	.	PUNCT
fcis-9941	107	1	[	[	X
fcis-9941	107	2	16	16	NUM
fcis-9941	107	3	]	]	PUNCT
fcis-9941	107	4	also	also	ADV
fcis-9941	107	5	adopted	adopt	VERB
fcis-9941	107	6	a	a	DET
fcis-9941	107	7	strategy	strategy	NOUN
fcis-9941	107	8	-	-	PUNCT
fcis-9941	107	9	assisted	assist	VERB
fcis-9941	107	10	model	model	NOUN
fcis-9941	107	11	with	with	ADP
fcis-9941	107	12	enlarged	enlarge	VERB
fcis-9941	107	13	training	training	NOUN
fcis-9941	107	14	samples	sample	NOUN
fcis-9941	107	15	for	for	ADP
fcis-9941	107	16	training	training	NOUN
fcis-9941	107	17	,	,	PUNCT
fcis-9941	107	18	and	and	CCONJ
fcis-9941	107	19	introduced	introduce	VERB
fcis-9941	107	20	a	a	DET
fcis-9941	107	21	selfsupervised	selfsupervise	VERB
fcis-9941	107	22	learning	learning	NOUN
fcis-9941	107	23	framework	framework	NOUN
fcis-9941	107	24	to	to	PART
fcis-9941	107	25	solve	solve	VERB
fcis-9941	107	26	the	the	DET
fcis-9941	107	27	language	language	NOUN
fcis-9941	107	28	prior	prior	ADJ
fcis-9941	107	29	problem	problem	NOUN
fcis-9941	107	30	in	in	ADP
fcis-9941	107	31	the	the	DET
fcis-9941	107	32	model	model	NOUN
fcis-9941	107	33	.	.	PUNCT
fcis-9941	108	1	specifically	specifically	ADV
fcis-9941	108	2	,	,	PUNCT
fcis-9941	108	3	the	the	DET
fcis-9941	108	4	method	method	NOUN
fcis-9941	108	5	first	first	ADV
fcis-9941	108	6	automatically	automatically	ADV
fcis-9941	108	7	generates	generate	VERB
fcis-9941	108	8	labeled	label	VERB
fcis-9941	108	9	data	datum	NOUN
fcis-9941	108	10	and	and	CCONJ
fcis-9941	108	11	balances	balance	NOUN
fcis-9941	108	12	the	the	DET
fcis-9941	108	13	biased	biased	ADJ
fcis-9941	108	14	data	datum	NOUN
fcis-9941	108	15	through	through	ADP
fcis-9941	108	16	a	a	DET
fcis-9941	108	17	self	self	NOUN
fcis-9941	108	18	-	-	PUNCT
fcis-9941	108	19	supervised	supervise	VERB
fcis-9941	108	20	auxiliary	auxiliary	ADJ
fcis-9941	108	21	task	task	NOUN
fcis-9941	108	22	,	,	PUNCT
fcis-9941	108	23	which	which	PRON
fcis-9941	108	24	does	do	AUX
fcis-9941	108	25	not	not	PART
fcis-9941	108	26	require	require	VERB
fcis-9941	108	27	the	the	DET
fcis-9941	108	28	introduction	introduction	NOUN
fcis-9941	108	29	of	of	ADP
fcis-9941	108	30	external	external	ADJ
fcis-9941	108	31	annotations	annotation	NOUN
fcis-9941	108	32	.	.	PUNCT
fcis-9941	109	1	gokhale	gokhale	NOUN
fcis-9941	109	2	et	et	PROPN
fcis-9941	109	3	al	al	PROPN
fcis-9941	109	4	.	.	PUNCT
fcis-9941	110	1	[	[	X
fcis-9941	110	2	17	17	NUM
fcis-9941	110	3	]	]	PUNCT
fcis-9941	110	4	proposed	propose	VERB
fcis-9941	110	5	an	an	DET
fcis-9941	110	6	input	input	NOUN
fcis-9941	110	7	mutation	mutation	NOUN
fcis-9941	110	8	training	training	NOUN
fcis-9941	110	9	strategy	strategy	NOUN
fcis-9941	110	10	,	,	PUNCT
fcis-9941	110	11	which	which	PRON
fcis-9941	110	12	is	be	AUX
fcis-9941	110	13	assisted	assist	VERB
fcis-9941	110	14	by	by	ADP
fcis-9941	110	15	multi	multi	ADJ
fcis-9941	110	16	-	-	ADJ
fcis-9941	110	17	angle	angle	ADJ
fcis-9941	110	18	sample	sample	NOUN
fcis-9941	110	19	expansion	expansion	NOUN
fcis-9941	110	20	.	.	PUNCT
fcis-9941	111	1	the	the	DET
fcis-9941	111	2	method	method	NOUN
fcis-9941	111	3	includes	include	VERB
fcis-9941	111	4	covering	cover	VERB
fcis-9941	111	5	,	,	PUNCT
fcis-9941	111	6	replacing	replace	VERB
fcis-9941	111	7	or	or	CCONJ
fcis-9941	111	8	negating	negating	NOUN
fcis-9941	111	9	keywords	keyword	NOUN
fcis-9941	111	10	,	,	PUNCT
fcis-9941	111	11	color	color	NOUN
fcis-9941	111	12	inversion	inversion	NOUN
fcis-9941	111	13	and	and	CCONJ
fcis-9941	111	14	removal	removal	NOUN
fcis-9941	111	15	of	of	ADP
fcis-9941	111	16	key	key	ADJ
fcis-9941	111	17	areas	area	NOUN
fcis-9941	111	18	and	and	CCONJ
fcis-9941	111	19	key	key	ADJ
fcis-9941	111	20	objects	object	NOUN
fcis-9941	111	21	in	in	ADP
fcis-9941	111	22	the	the	DET
fcis-9941	111	23	image	image	NOUN
fcis-9941	111	24	,	,	PUNCT
fcis-9941	111	25	its	its	PRON
fcis-9941	111	26	essence	essence	NOUN
fcis-9941	111	27	is	be	AUX
fcis-9941	111	28	still	still	ADV
fcis-9941	111	29	a	a	DET
fcis-9941	111	30	way	way	NOUN
fcis-9941	111	31	of	of	ADP
fcis-9941	111	32	data	datum	NOUN
fcis-9941	111	33	augmentation	augmentation	NOUN
fcis-9941	111	34	.	.	PUNCT
fcis-9941	112	1	a	a	DET
fcis-9941	112	2	large	large	ADJ
fcis-9941	112	3	number	number	NOUN
fcis-9941	112	4	of	of	ADP
fcis-9941	112	5	samples	sample	NOUN
fcis-9941	112	6	are	be	AUX
fcis-9941	112	7	formed	form	VERB
fcis-9941	112	8	by	by	ADP
fcis-9941	112	9	pairing	pair	VERB
fcis-9941	112	10	new	new	ADJ
fcis-9941	112	11	images	image	NOUN
fcis-9941	112	12	and	and	CCONJ
fcis-9941	112	13	questions	question	NOUN
fcis-9941	112	14	generated	generate	VERB
fcis-9941	112	15	by	by	ADP
fcis-9941	112	16	mutations	mutation	NOUN
fcis-9941	112	17	of	of	ADP
fcis-9941	112	18	images	image	NOUN
fcis-9941	112	19	and	and	CCONJ
fcis-9941	112	20	questions	question	NOUN
fcis-9941	112	21	;	;	PUNCT
fcis-9941	112	22	different	different	ADJ
fcis-9941	112	23	from	from	ADP
fcis-9941	112	24	traditional	traditional	ADJ
fcis-9941	112	25	classification	classification	NOUN
fcis-9941	112	26	methods	method	NOUN
fcis-9941	112	27	,	,	PUNCT
fcis-9941	112	28	this	this	DET
fcis-9941	112	29	paper	paper	NOUN
fcis-9941	112	30	uses	use	VERB
fcis-9941	112	31	a	a	DET
fcis-9941	112	32	noise	noise	NOUN
fcis-9941	112	33	-	-	PUNCT
fcis-9941	112	34	contrastive	contrastive	ADJ
fcis-9941	112	35	method	method	NOUN
fcis-9941	112	36	to	to	PART
fcis-9941	112	37	predict	predict	VERB
fcis-9941	112	38	the	the	DET
fcis-9941	112	39	correct	correct	ADJ
fcis-9941	112	40	answer	answer	NOUN
fcis-9941	112	41	,	,	PUNCT
fcis-9941	112	42	and	and	CCONJ
fcis-9941	112	43	a	a	DET
fcis-9941	112	44	regularized	regularize	VERB
fcis-9941	112	45	loss	loss	NOUN
fcis-9941	112	46	function	function	NOUN
fcis-9941	112	47	of	of	ADP
fcis-9941	112	48	pairwise	pairwise	NOUN
fcis-9941	112	49	consistency	consistency	NOUN
fcis-9941	112	50	to	to	PART
fcis-9941	112	51	narrow	narrow	VERB
fcis-9941	112	52	the	the	DET
fcis-9941	112	53	real	real	ADJ
fcis-9941	112	54	answer	answer	NOUN
fcis-9941	112	55	and	and	CCONJ
fcis-9941	112	56	the	the	DET
fcis-9941	112	57	distance	distance	NOUN
fcis-9941	112	58	to	to	PART
fcis-9941	112	59	predict	predict	VERB
fcis-9941	112	60	the	the	DET
fcis-9941	112	61	answer	answer	NOUN
fcis-9941	112	62	.	.	PUNCT
fcis-9941	113	1	this	this	DET
fcis-9941	113	2	idea	idea	NOUN
fcis-9941	113	3	reaches	reach	VERB
fcis-9941	113	4	the	the	DET
fcis-9941	113	5	highest	high	ADJ
fcis-9941	113	6	level	level	NOUN
fcis-9941	113	7	in	in	ADP
fcis-9941	113	8	the	the	DET
fcis-9941	113	9	vqa	vqa	PROPN
fcis-9941	113	10	-	-	PUNCT
fcis-9941	113	11	cp	cp	NUM
fcis-9941	113	12	v2	v2	PROPN
fcis-9941	113	13	dataset	dataset	NOUN
fcis-9941	113	14	.	.	PUNCT
fcis-9941	114	1	2.2.4	2.2.4	X
fcis-9941	114	2	.	.	PUNCT
fcis-9941	114	3	methods	method	NOUN
fcis-9941	114	4	based	base	VERB
fcis-9941	114	5	on	on	ADP
fcis-9941	114	6	training	training	NOUN
fcis-9941	114	7	strategies	strategy	NOUN
fcis-9941	114	8	mahabadi	mahabadi	X
fcis-9941	114	9	et	et	PROPN
fcis-9941	114	10	al	al	PROPN
fcis-9941	114	11	.	.	PUNCT
fcis-9941	115	1	[	[	X
fcis-9941	115	2	18	18	NUM
fcis-9941	115	3	]	]	PUNCT
fcis-9941	115	4	introduced	introduce	VERB
fcis-9941	115	5	three	three	NUM
fcis-9941	115	6	new	new	ADJ
fcis-9941	115	7	strategies	strategy	NOUN
fcis-9941	115	8	to	to	PART
fcis-9941	115	9	reduce	reduce	VERB
fcis-9941	115	10	bias	bias	NOUN
fcis-9941	115	11	:	:	PUNCT
fcis-9941	115	12	the	the	DET
fcis-9941	115	13	first	first	ADJ
fcis-9941	115	14	is	be	AUX
fcis-9941	115	15	an	an	DET
fcis-9941	115	16	ensemble	ensemble	ADJ
fcis-9941	115	17	-	-	PUNCT
fcis-9941	115	18	based	base	VERB
fcis-9941	115	19	approach	approach	NOUN
fcis-9941	115	20	that	that	PRON
fcis-9941	115	21	combines	combine	VERB
fcis-9941	115	22	multiple	multiple	ADJ
fcis-9941	115	23	probabilistic	probabilistic	ADJ
fcis-9941	115	24	models	model	NOUN
fcis-9941	115	25	of	of	ADP
fcis-9941	115	26	the	the	DET
fcis-9941	115	27	same	same	ADJ
fcis-9941	115	28	data	datum	NOUN
fcis-9941	115	29	by	by	ADP
fcis-9941	115	30	multiplying	multiply	VERB
fcis-9941	115	31	the	the	DET
fcis-9941	115	32	probabilities	probability	NOUN
fcis-9941	115	33	together	together	ADV
fcis-9941	115	34	and	and	CCONJ
fcis-9941	115	35	then	then	ADV
fcis-9941	115	36	renormalizing	renormalize	VERB
fcis-9941	115	37	them	they	PRON
fcis-9941	115	38	.	.	PUNCT
fcis-9941	116	1	the	the	DET
fcis-9941	116	2	idea	idea	NOUN
fcis-9941	116	3	is	be	AUX
fcis-9941	116	4	still	still	ADV
fcis-9941	116	5	to	to	PART
fcis-9941	116	6	combine	combine	VERB
fcis-9941	116	7	the	the	DET
fcis-9941	116	8	probability	probability	NOUN
fcis-9941	116	9	distributions	distribution	NOUN
fcis-9941	116	10	of	of	ADP
fcis-9941	116	11	the	the	DET
fcis-9941	116	12	problem	problem	NOUN
fcis-9941	116	13	-	-	PUNCT
fcis-9941	116	14	only	only	ADJ
fcis-9941	116	15	model	model	NOUN
fcis-9941	116	16	and	and	CCONJ
fcis-9941	116	17	the	the	DET
fcis-9941	116	18	main	main	ADJ
fcis-9941	116	19	model	model	NOUN
fcis-9941	116	20	,	,	PUNCT
fcis-9941	116	21	enabling	enable	VERB
fcis-9941	116	22	them	they	PRON
fcis-9941	116	23	to	to	PART
fcis-9941	116	24	make	make	VERB
fcis-9941	116	25	predictions	prediction	NOUN
fcis-9941	116	26	based	base	VERB
fcis-9941	116	27	on	on	ADP
fcis-9941	116	28	different	different	ADJ
fcis-9941	116	29	characteristics	characteristic	NOUN
fcis-9941	116	30	of	of	ADP
fcis-9941	116	31	the	the	DET
fcis-9941	116	32	input	input	NOUN
fcis-9941	116	33	.	.	PUNCT
fcis-9941	117	1	the	the	DET
fcis-9941	117	2	second	second	ADJ
fcis-9941	117	3	method	method	NOUN
fcis-9941	117	4	proposes	propose	VERB
fcis-9941	117	5	two	two	NUM
fcis-9941	117	6	variants	variant	NOUN
fcis-9941	117	7	on	on	ADP
fcis-9941	117	8	the	the	DET
fcis-9941	117	9	basis	basis	NOUN
fcis-9941	117	10	of	of	ADP
fcis-9941	117	11	rubi	rubi	ADJ
fcis-9941	117	12	,	,	PUNCT
fcis-9941	117	13	namely	namely	ADV
fcis-9941	117	14	"	"	PUNCT
fcis-9941	117	15	rubi+logarithmic	rubi+logarithmic	ADJ
fcis-9941	117	16	space	space	NOUN
fcis-9941	117	17	"	"	PUNCT
fcis-9941	117	18	method	method	NOUN
fcis-9941	117	19	and	and	CCONJ
fcis-9941	117	20	"	"	PUNCT
fcis-9941	117	21	rubi+standardization	rubi+standardization	NOUN
fcis-9941	117	22	"	"	PUNCT
fcis-9941	117	23	.	.	PUNCT
fcis-9941	118	1	the	the	DET
fcis-9941	118	2	third	third	ADJ
fcis-9941	118	3	method	method	NOUN
fcis-9941	118	4	improves	improve	VERB
fcis-9941	118	5	the	the	DET
fcis-9941	118	6	method	method	NOUN
fcis-9941	118	7	of	of	ADP
fcis-9941	118	8	improving	improve	VERB
fcis-9941	118	9	a	a	DET
fcis-9941	118	10	single	single	ADJ
fcis-9941	118	11	classifier	classifier	NOUN
fcis-9941	118	12	by	by	ADP
fcis-9941	118	13	reducing	reduce	VERB
fcis-9941	118	14	the	the	DET
fcis-9941	118	15	weight	weight	NOUN
fcis-9941	118	16	of	of	ADP
fcis-9941	118	17	well	well	ADV
fcis-9941	118	18	-	-	PUNCT
fcis-9941	118	19	classified	classify	VERB
fcis-9941	118	20	samples	sample	NOUN
fcis-9941	118	21	proposed	propose	VERB
fcis-9941	118	22	by	by	ADP
fcis-9941	118	23	lin	lin	PROPN
fcis-9941	118	24	et	et	PROPN
fcis-9941	118	25	al	al	PROPN
fcis-9941	118	26	.	.	PUNCT
fcis-9941	119	1	[	[	X
fcis-9941	119	2	19	19	NUM
fcis-9941	119	3	]	]	PUNCT
fcis-9941	119	4	,	,	PUNCT
fcis-9941	119	5	and	and	CCONJ
fcis-9941	119	6	designs	design	VERB
fcis-9941	119	7	a	a	DET
fcis-9941	119	8	new	new	ADJ
fcis-9941	119	9	loss	loss	NOUN
fcis-9941	119	10	function	function	NOUN
fcis-9941	119	11	"	"	PUNCT
fcis-9941	119	12	debiased	debiase	VERB
fcis-9941	119	13	focal	focal	ADJ
fcis-9941	119	14	loss	loss	NOUN
fcis-9941	119	15	"	"	PUNCT
fcis-9941	119	16	to	to	PART
fcis-9941	119	17	reduce	reduce	VERB
fcis-9941	119	18	the	the	DET
fcis-9941	119	19	importance	importance	NOUN
fcis-9941	119	20	of	of	ADP
fcis-9941	119	21	biased	biased	ADJ
fcis-9941	119	22	samples	sample	NOUN
fcis-9941	119	23	,	,	PUNCT
fcis-9941	119	24	and	and	CCONJ
fcis-9941	119	25	make	make	VERB
fcis-9941	119	26	the	the	DET
fcis-9941	119	27	model	model	NOUN
fcis-9941	119	28	pay	pay	VERB
fcis-9941	119	29	more	more	ADJ
fcis-9941	119	30	attention	attention	NOUN
fcis-9941	119	31	to	to	ADP
fcis-9941	119	32	samples	sample	NOUN
fcis-9941	119	33	that	that	PRON
fcis-9941	119	34	require	require	VERB
fcis-9941	119	35	visual	visual	ADJ
fcis-9941	119	36	information	information	NOUN
fcis-9941	119	37	to	to	PART
fcis-9941	119	38	answer	answer	VERB
fcis-9941	119	39	.	.	PUNCT
fcis-9941	120	1	wu	wu	PROPN
fcis-9941	120	2	et	et	PROPN
fcis-9941	120	3	al	al	PROPN
fcis-9941	120	4	.	.	PUNCT
fcis-9941	121	1	[	[	X
fcis-9941	121	2	19	19	NUM
fcis-9941	121	3	]	]	PUNCT
fcis-9941	121	4	found	find	VERB
fcis-9941	121	5	through	through	ADP
fcis-9941	121	6	the	the	DET
fcis-9941	121	7	research	research	NOUN
fcis-9941	121	8	that	that	SCONJ
fcis-9941	121	9	the	the	DET
fcis-9941	121	10	existing	exist	VERB
fcis-9941	121	11	research	research	NOUN
fcis-9941	121	12	robust	robust	ADJ
fcis-9941	121	13	visual	visual	ADJ
fcis-9941	121	14	question	question	NOUN
fcis-9941	121	15	answering	answering	NOUN
fcis-9941	121	16	model	model	NOUN
fcis-9941	121	17	is	be	AUX
fcis-9941	121	18	encouraged	encourage	VERB
fcis-9941	121	19	to	to	PART
fcis-9941	121	20	pay	pay	VERB
fcis-9941	121	21	more	more	ADJ
fcis-9941	121	22	attention	attention	NOUN
fcis-9941	121	23	to	to	ADP
fcis-9941	121	24	the	the	DET
fcis-9941	121	25	image	image	NOUN
fcis-9941	121	26	area	area	NOUN
fcis-9941	121	27	that	that	PRON
fcis-9941	121	28	people	people	NOUN
fcis-9941	121	29	think	think	VERB
fcis-9941	121	30	is	be	AUX
fcis-9941	121	31	important	important	ADJ
fcis-9941	121	32	,	,	PUNCT
fcis-9941	121	33	even	even	ADV
fcis-9941	121	34	if	if	SCONJ
fcis-9941	121	35	the	the	DET
fcis-9941	121	36	image	image	NOUN
fcis-9941	121	37	area	area	NOUN
fcis-9941	121	38	will	will	AUX
fcis-9941	121	39	eventually	eventually	ADV
fcis-9941	121	40	cause	cause	VERB
fcis-9941	121	41	the	the	DET
fcis-9941	121	42	model	model	NOUN
fcis-9941	121	43	to	to	PART
fcis-9941	121	44	produce	produce	VERB
fcis-9941	121	45	wrong	wrong	ADJ
fcis-9941	121	46	answers	answer	NOUN
fcis-9941	121	47	,	,	PUNCT
fcis-9941	121	48	and	and	CCONJ
fcis-9941	121	49	the	the	DET
fcis-9941	121	50	so	so	ADV
fcis-9941	121	51	-	-	PUNCT
fcis-9941	121	52	called	call	VERB
fcis-9941	121	53	influential	influential	ADJ
fcis-9941	121	54	area	area	NOUN
fcis-9941	121	55	often	often	ADV
fcis-9941	121	56	identified	identify	VERB
fcis-9941	121	57	automatically	automatically	ADV
fcis-9941	121	58	through	through	ADP
fcis-9941	121	59	human	human	ADJ
fcis-9941	121	60	visual	visual	ADJ
fcis-9941	121	61	/	/	SYM
fcis-9941	121	62	textual	textual	ADJ
fcis-9941	121	63	annotations	annotation	NOUN
fcis-9941	121	64	or	or	CCONJ
fcis-9941	121	65	more	more	ADJ
fcis-9941	121	66	key	key	ADJ
fcis-9941	121	67	words	word	NOUN
fcis-9941	121	68	in	in	ADP
fcis-9941	121	69	questions	question	NOUN
fcis-9941	121	70	and	and	CCONJ
fcis-9941	121	71	answers	answer	NOUN
fcis-9941	121	72	.	.	PUNCT
fcis-9941	122	1	in	in	ADP
fcis-9941	122	2	response	response	NOUN
fcis-9941	122	3	to	to	ADP
fcis-9941	122	4	this	this	DET
fcis-9941	122	5	phenomenon	phenomenon	NOUN
fcis-9941	122	6	,	,	PUNCT
fcis-9941	122	7	the	the	DET
fcis-9941	122	8	paper	paper	NOUN
fcis-9941	122	9	proposes	propose	VERB
fcis-9941	122	10	a	a	DET
fcis-9941	122	11	"	"	PUNCT
fcis-9941	122	12	self	self	NOUN
fcis-9941	122	13	-	-	PUNCT
fcis-9941	122	14	criticism	criticism	NOUN
fcis-9941	122	15	"	"	PUNCT
fcis-9941	122	16	method	method	NOUN
fcis-9941	122	17	,	,	PUNCT
fcis-9941	122	18	which	which	PRON
fcis-9941	122	19	reduces	reduce	VERB
fcis-9941	122	20	the	the	DET
fcis-9941	122	21	sensitivity	sensitivity	NOUN
fcis-9941	122	22	to	to	ADP
fcis-9941	122	23	the	the	DET
fcis-9941	122	24	area	area	NOUN
fcis-9941	122	25	of	of	ADP
fcis-9941	122	26	the	the	DET
fcis-9941	122	27	image	image	NOUN
fcis-9941	122	28	by	by	ADP
fcis-9941	122	29	criticizing	criticize	VERB
fcis-9941	122	30	the	the	DET
fcis-9941	122	31	image	image	NOUN
fcis-9941	122	32	area	area	NOUN
fcis-9941	122	33	that	that	PRON
fcis-9941	122	34	the	the	DET
fcis-9941	122	35	wrong	wrong	ADJ
fcis-9941	122	36	answer	answer	NOUN
fcis-9941	122	37	focuses	focus	VERB
fcis-9941	122	38	on	on	ADP
fcis-9941	122	39	,	,	PUNCT
fcis-9941	122	40	so	so	SCONJ
fcis-9941	122	41	as	as	SCONJ
fcis-9941	122	42	to	to	PART
fcis-9941	122	43	ensure	ensure	VERB
fcis-9941	122	44	that	that	SCONJ
fcis-9941	122	45	the	the	DET
fcis-9941	122	46	visual	visual	ADJ
fcis-9941	122	47	interpretation	interpretation	NOUN
fcis-9941	122	48	of	of	ADP
fcis-9941	122	49	the	the	DET
fcis-9941	122	50	correct	correct	ADJ
fcis-9941	122	51	answer	answer	NOUN
fcis-9941	122	52	can	can	AUX
fcis-9941	122	53	be	be	AUX
fcis-9941	122	54	compared	compare	VERB
fcis-9941	122	55	with	with	ADP
fcis-9941	122	56	other	other	ADJ
fcis-9941	122	57	competing	compete	VERB
fcis-9941	122	58	answer	answer	NOUN
fcis-9941	122	59	candidates	candidate	NOUN
fcis-9941	122	60	.	.	PUNCT
fcis-9941	123	1	more	more	ADV
fcis-9941	123	2	closely	closely	ADV
fcis-9941	123	3	matches	match	VERB
fcis-9941	123	4	the	the	DET
fcis-9941	123	5	most	most	ADV
fcis-9941	123	6	influential	influential	ADJ
fcis-9941	123	7	image	image	NOUN
fcis-9941	123	8	areas	area	NOUN
fcis-9941	123	9	.	.	PUNCT
fcis-9941	124	1	for	for	ADP
fcis-9941	124	2	the	the	DET
fcis-9941	124	3	training	training	NOUN
fcis-9941	124	4	of	of	ADP
fcis-9941	124	5	each	each	DET
fcis-9941	124	6	sample	sample	NOUN
fcis-9941	124	7	,	,	PUNCT
fcis-9941	124	8	first	first	ADV
fcis-9941	124	9	determine	determine	VERB
fcis-9941	124	10	the	the	DET
fcis-9941	124	11	area	area	NOUN
fcis-9941	124	12	that	that	PRON
fcis-9941	124	13	most	most	ADV
fcis-9941	124	14	affects	affect	VERB
fcis-9941	124	15	the	the	DET
fcis-9941	124	16	correctness	correctness	NOUN
fcis-9941	124	17	of	of	ADP
fcis-9941	124	18	the	the	DET
fcis-9941	124	19	model	model	NOUN
fcis-9941	124	20	,	,	PUNCT
fcis-9941	124	21	and	and	CCONJ
fcis-9941	124	22	when	when	SCONJ
fcis-9941	124	23	the	the	DET
fcis-9941	124	24	model	model	NOUN
fcis-9941	124	25	answers	answer	VERB
fcis-9941	124	26	the	the	DET
fcis-9941	124	27	question	question	NOUN
fcis-9941	124	28	wrongly	wrongly	ADV
fcis-9941	124	29	through	through	ADP
fcis-9941	124	30	this	this	DET
fcis-9941	124	31	image	image	NOUN
fcis-9941	124	32	area	area	NOUN
fcis-9941	124	33	,	,	PUNCT
fcis-9941	124	34	then	then	ADV
fcis-9941	124	35	punish	punish	VERB
fcis-9941	124	36	the	the	DET
fcis-9941	124	37	attention	attention	NOUN
fcis-9941	124	38	to	to	ADP
fcis-9941	124	39	this	this	DET
fcis-9941	124	40	area	area	NOUN
fcis-9941	124	41	,	,	PUNCT
fcis-9941	124	42	so	so	SCONJ
fcis-9941	124	43	as	as	SCONJ
fcis-9941	124	44	to	to	PART
fcis-9941	124	45	ensure	ensure	VERB
fcis-9941	124	46	that	that	SCONJ
fcis-9941	124	47	the	the	DET
fcis-9941	124	48	correct	correct	ADJ
fcis-9941	124	49	answer	answer	NOUN
fcis-9941	124	50	can	can	AUX
fcis-9941	124	51	be	be	AUX
fcis-9941	124	52	more	more	ADV
fcis-9941	124	53	important	important	ADJ
fcis-9941	124	54	than	than	ADP
fcis-9941	124	55	other	other	ADJ
fcis-9941	124	56	answers	answer	NOUN
fcis-9941	124	57	in	in	ADP
fcis-9941	124	58	the	the	DET
fcis-9941	124	59	image	image	NOUN
fcis-9941	124	60	there	there	PRON
fcis-9941	124	61	is	be	VERB
fcis-9941	124	62	stronger	strong	ADJ
fcis-9941	124	63	competitiveness	competitiveness	NOUN
fcis-9941	124	64	in	in	ADP
fcis-9941	124	65	the	the	DET
fcis-9941	124	66	region	region	NOUN
fcis-9941	124	67	.	.	PUNCT
fcis-9941	125	1	generally	generally	ADV
fcis-9941	125	2	,	,	PUNCT
fcis-9941	125	3	the	the	DET
fcis-9941	125	4	visual	visual	ADJ
fcis-9941	125	5	question	question	NOUN
fcis-9941	125	6	answering	answer	VERB
fcis-9941	125	7	task	task	NOUN
fcis-9941	125	8	is	be	AUX
fcis-9941	125	9	regarded	regard	VERB
fcis-9941	125	10	as	as	ADP
fcis-9941	125	11	a	a	DET
fcis-9941	125	12	classification	classification	NOUN
fcis-9941	125	13	problem	problem	NOUN
fcis-9941	125	14	.	.	PUNCT
fcis-9941	126	1	although	although	SCONJ
fcis-9941	126	2	this	this	DET
fcis-9941	126	3	method	method	NOUN
fcis-9941	126	4	is	be	AUX
fcis-9941	126	5	easy	easy	ADJ
fcis-9941	126	6	to	to	PART
fcis-9941	126	7	handle	handle	VERB
fcis-9941	126	8	,	,	PUNCT
fcis-9941	126	9	each	each	DET
fcis-9941	126	10	answer	answer	NOUN
fcis-9941	126	11	is	be	AUX
fcis-9941	126	12	independent	independent	ADJ
fcis-9941	126	13	of	of	ADP
fcis-9941	126	14	each	each	DET
fcis-9941	126	15	other	other	ADJ
fcis-9941	126	16	,	,	PUNCT
fcis-9941	126	17	and	and	CCONJ
fcis-9941	126	18	the	the	DET
fcis-9941	126	19	similarity	similarity	NOUN
fcis-9941	126	20	between	between	ADP
fcis-9941	126	21	answers	answer	NOUN
fcis-9941	126	22	can	can	AUX
fcis-9941	126	23	not	not	PART
fcis-9941	126	24	be	be	AUX
fcis-9941	126	25	calculated	calculate	VERB
fcis-9941	126	26	,	,	PUNCT
fcis-9941	126	27	so	so	CCONJ
fcis-9941	126	28	the	the	DET
fcis-9941	126	29	semantic	semantic	ADJ
fcis-9941	126	30	relationship	relationship	NOUN
fcis-9941	126	31	between	between	ADP
fcis-9941	126	32	them	they	PRON
fcis-9941	126	33	can	can	AUX
fcis-9941	126	34	not	not	PART
fcis-9941	126	35	be	be	AUX
fcis-9941	126	36	considered	consider	VERB
fcis-9941	126	37	.	.	PUNCT
fcis-9941	127	1	kervadec	kervadec	PROPN
fcis-9941	127	2	et	et	PROPN
fcis-9941	127	3	al	al	PROPN
fcis-9941	127	4	.	.	PUNCT
fcis-9941	128	1	[	[	X
fcis-9941	128	2	21	21	NUM
fcis-9941	128	3	]	]	PUNCT
fcis-9941	128	4	believe	believe	VERB
fcis-9941	128	5	that	that	SCONJ
fcis-9941	128	6	directly	directly	ADV
fcis-9941	128	7	defining	define	VERB
fcis-9941	128	8	the	the	DET
fcis-9941	128	9	loss	loss	NOUN
fcis-9941	128	10	function	function	NOUN
fcis-9941	128	11	will	will	AUX
fcis-9941	128	12	lead	lead	VERB
fcis-9941	128	13	to	to	ADP
fcis-9941	128	14	damage	damage	NOUN
fcis-9941	128	15	to	to	ADP
fcis-9941	128	16	the	the	DET
fcis-9941	128	17	generalization	generalization	NOUN
fcis-9941	128	18	of	of	ADP
fcis-9941	128	19	the	the	DET
fcis-9941	128	20	model	model	NOUN
fcis-9941	128	21	,	,	PUNCT
fcis-9941	128	22	and	and	CCONJ
fcis-9941	128	23	if	if	SCONJ
fcis-9941	128	24	there	there	PRON
fcis-9941	128	25	is	be	VERB
fcis-9941	128	26	content	content	NOUN
fcis-9941	128	27	that	that	PRON
fcis-9941	128	28	is	be	AUX
fcis-9941	128	29	not	not	PART
fcis-9941	128	30	in	in	ADP
fcis-9941	128	31	the	the	DET
fcis-9941	128	32	training	training	NOUN
fcis-9941	128	33	set	set	VERB
fcis-9941	128	34	during	during	ADP
fcis-9941	128	35	the	the	DET
fcis-9941	128	36	test	test	NOUN
fcis-9941	128	37	,	,	PUNCT
fcis-9941	128	38	it	it	PRON
fcis-9941	128	39	will	will	AUX
fcis-9941	128	40	also	also	ADV
fcis-9941	128	41	lead	lead	VERB
fcis-9941	128	42	to	to	ADP
fcis-9941	128	43	incorrect	incorrect	ADJ
fcis-9941	128	44	prediction	prediction	NOUN
fcis-9941	128	45	of	of	ADP
fcis-9941	128	46	the	the	DET
fcis-9941	128	47	model	model	NOUN
fcis-9941	128	48	answer	answer	NOUN
fcis-9941	128	49	.	.	PUNCT
fcis-9941	129	1	aiming	aim	VERB
fcis-9941	129	2	at	at	ADP
fcis-9941	129	3	this	this	DET
fcis-9941	129	4	problem	problem	NOUN
fcis-9941	129	5	,	,	PUNCT
fcis-9941	129	6	the	the	DET
fcis-9941	129	7	author	author	NOUN
fcis-9941	129	8	designed	design	VERB
fcis-9941	129	9	a	a	DET
fcis-9941	129	10	new	new	ADJ
fcis-9941	129	11	loss	loss	NOUN
fcis-9941	129	12	function	function	VERB
fcis-9941	129	13	semantic	semantic	ADJ
fcis-9941	129	14	-	-	PUNCT
fcis-9941	129	15	loss	loss	NOUN
fcis-9941	129	16	.	.	PUNCT
fcis-9941	130	1	by	by	ADP
fcis-9941	130	2	establishing	establish	VERB
fcis-9941	130	3	the	the	DET
fcis-9941	130	4	semantic	semantic	ADJ
fcis-9941	130	5	space	space	NOUN
fcis-9941	130	6	embedded	embed	VERB
fcis-9941	130	7	in	in	ADP
fcis-9941	130	8	the	the	DET
fcis-9941	130	9	answer	answer	NOUN
fcis-9941	130	10	,	,	PUNCT
fcis-9941	130	11	the	the	DET
fcis-9941	130	12	distance	distance	NOUN
fcis-9941	130	13	function	function	NOUN
fcis-9941	130	14	is	be	AUX
fcis-9941	130	15	defined	define	VERB
fcis-9941	130	16	to	to	PART
fcis-9941	130	17	measure	measure	VERB
fcis-9941	130	18	the	the	DET
fcis-9941	130	19	similarity	similarity	NOUN
fcis-9941	130	20	between	between	ADP
fcis-9941	130	21	the	the	DET
fcis-9941	130	22	answers	answer	NOUN
fcis-9941	130	23	,	,	PUNCT
fcis-9941	130	24	so	so	SCONJ
fcis-9941	130	25	as	as	SCONJ
fcis-9941	130	26	to	to	PART
fcis-9941	130	27	guide	guide	VERB
fcis-9941	130	28	the	the	DET
fcis-9941	130	29	model	model	NOUN
fcis-9941	130	30	to	to	PART
fcis-9941	130	31	adjust	adjust	VERB
fcis-9941	130	32	the	the	DET
fcis-9941	130	33	loss	loss	NOUN
fcis-9941	130	34	value	value	NOUN
fcis-9941	130	35	reasonably	reasonably	ADV
fcis-9941	130	36	.	.	PUNCT
fcis-9941	131	1	guo	guo	PROPN
fcis-9941	131	2	et	et	PROPN
fcis-9941	131	3	al	al	PROPN
fcis-9941	131	4	.	.	PUNCT
fcis-9941	132	1	[	[	X
fcis-9941	132	2	22	22	NUM
fcis-9941	132	3	]	]	PUNCT
fcis-9941	132	4	believe	believe	VERB
fcis-9941	132	5	that	that	SCONJ
fcis-9941	132	6	the	the	DET
fcis-9941	132	7	existing	exist	VERB
fcis-9941	132	8	work	work	NOUN
fcis-9941	132	9	on	on	ADP
fcis-9941	132	10	alleviating	alleviate	VERB
fcis-9941	132	11	language	language	NOUN
fcis-9941	132	12	priors	prior	NOUN
fcis-9941	132	13	for	for	ADP
fcis-9941	132	14	visual	visual	ADJ
fcis-9941	132	15	question	question	NOUN
fcis-9941	132	16	answering	answering	NOUN
fcis-9941	132	17	models	model	NOUN
fcis-9941	132	18	can	can	AUX
fcis-9941	132	19	not	not	PART
fcis-9941	132	20	explain	explain	VERB
fcis-9941	132	21	the	the	DET
fcis-9941	132	22	reasons	reason	NOUN
fcis-9941	132	23	for	for	ADP
fcis-9941	132	24	language	language	NOUN
fcis-9941	132	25	bias	bias	NOUN
fcis-9941	132	26	well	well	ADV
fcis-9941	132	27	.	.	PUNCT
fcis-9941	133	1	it	it	PRON
fcis-9941	133	2	believes	believe	VERB
fcis-9941	133	3	that	that	SCONJ
fcis-9941	133	4	the	the	DET
fcis-9941	133	5	reason	reason	NOUN
fcis-9941	133	6	for	for	ADP
fcis-9941	133	7	the	the	DET
fcis-9941	133	8	obvious	obvious	ADJ
fcis-9941	133	9	error	error	NOUN
fcis-9941	133	10	of	of	ADP
fcis-9941	133	11	the	the	DET
fcis-9941	133	12	model	model	NOUN
fcis-9941	133	13	during	during	ADP
fcis-9941	133	14	the	the	DET
fcis-9941	133	15	test	test	NOUN
fcis-9941	133	16	is	be	AUX
fcis-9941	133	17	caused	cause	VERB
fcis-9941	133	18	by	by	ADP
fcis-9941	133	19	the	the	DET
fcis-9941	133	20	sparseness	sparseness	ADJ
fcis-9941	133	21	of	of	ADP
fcis-9941	133	22	the	the	DET
fcis-9941	133	23	answer	answer	NOUN
fcis-9941	133	24	.	.	PUNCT
fcis-9941	134	1	therefore	therefore	ADV
fcis-9941	134	2	,	,	PUNCT
fcis-9941	134	3	guo	guo	PROPN
fcis-9941	134	4	et	et	PROPN
fcis-9941	134	5	al	al	PROPN
fcis-9941	134	6	.	.	PUNCT
fcis-9941	135	1	[	[	X
fcis-9941	135	2	22	22	NUM
fcis-9941	135	3	]	]	PUNCT
fcis-9941	135	4	proposed	propose	VERB
fcis-9941	135	5	to	to	PART
fcis-9941	135	6	assign	assign	VERB
fcis-9941	135	7	different	different	ADJ
fcis-9941	135	8	weights	weight	NOUN
fcis-9941	135	9	to	to	ADP
fcis-9941	135	10	each	each	DET
fcis-9941	135	11	answer	answer	NOUN
fcis-9941	135	12	,	,	PUNCT
fcis-9941	135	13	so	so	SCONJ
fcis-9941	135	14	that	that	SCONJ
fcis-9941	135	15	the	the	DET
fcis-9941	135	16	model	model	NOUN
fcis-9941	135	17	will	will	AUX
fcis-9941	135	18	have	have	VERB
fcis-9941	135	19	different	different	ADJ
fcis-9941	135	20	losses	loss	NOUN
fcis-9941	135	21	when	when	SCONJ
fcis-9941	135	22	predicting	predict	VERB
fcis-9941	135	23	the	the	DET
fcis-9941	135	24	answer	answer	NOUN
fcis-9941	135	25	.	.	PUNCT
fcis-9941	136	1	in	in	ADP
fcis-9941	136	2	this	this	DET
fcis-9941	136	3	way	way	NOUN
fcis-9941	136	4	,	,	PUNCT
fcis-9941	136	5	the	the	DET
fcis-9941	136	6	dependence	dependence	NOUN
fcis-9941	136	7	of	of	ADP
fcis-9941	136	8	the	the	DET
fcis-9941	136	9	model	model	NOUN
fcis-9941	136	10	on	on	ADP
fcis-9941	136	11	the	the	DET
fcis-9941	136	12	problem	problem	NOUN
fcis-9941	136	13	is	be	AUX
fcis-9941	136	14	adjusted	adjust	VERB
fcis-9941	136	15	.	.	PUNCT
fcis-9941	137	1	however	however	ADV
fcis-9941	137	2	,	,	PUNCT
fcis-9941	137	3	visual	visual	ADJ
fcis-9941	137	4	question	question	NOUN
fcis-9941	137	5	answering	answer	VERB
fcis-9941	137	6	datasets	dataset	NOUN
fcis-9941	137	7	are	be	AUX
fcis-9941	137	8	often	often	ADV
fcis-9941	137	9	complex	complex	ADJ
fcis-9941	137	10	,	,	PUNCT
fcis-9941	137	11	large	large	ADJ
fcis-9941	137	12	and	and	CCONJ
fcis-9941	137	13	interconnected	interconnected	ADJ
fcis-9941	137	14	,	,	PUNCT
fcis-9941	137	15	so	so	CCONJ
fcis-9941	137	16	it	it	PRON
fcis-9941	137	17	is	be	AUX
fcis-9941	137	18	difficult	difficult	ADJ
fcis-9941	137	19	to	to	PART
fcis-9941	137	20	assign	assign	VERB
fcis-9941	137	21	reasonable	reasonable	ADJ
fcis-9941	137	22	weights	weight	NOUN
fcis-9941	137	23	to	to	ADP
fcis-9941	137	24	each	each	DET
fcis-9941	137	25	answer	answer	NOUN
fcis-9941	137	26	.	.	PUNCT
fcis-9941	138	1	50	50	NUM
fcis-9941	138	2	table	table	NOUN
fcis-9941	138	3	3	3	NUM
fcis-9941	138	4	.	.	PUNCT
fcis-9941	138	5	methods	method	NOUN
fcis-9941	138	6	based	base	VERB
fcis-9941	138	7	on	on	ADP
fcis-9941	138	8	data	datum	NOUN
fcis-9941	138	9	argumentation	argumentation	NOUN
fcis-9941	138	10	and	and	CCONJ
fcis-9941	138	11	training	training	NOUN
fcis-9941	138	12	strategies	strategy	NOUN
fcis-9941	138	13	[	[	X
fcis-9941	138	14	24	24	NUM
fcis-9941	138	15	]	]	PUNCT
fcis-9941	138	16	methods	method	NOUN
fcis-9941	138	17	base	base	VERB
fcis-9941	138	18	vqa	vqa	PROPN
fcis-9941	138	19	-	-	PUNCT
fcis-9941	138	20	cp	cp	NUM
fcis-9941	138	21	v2	v2	PROPN
fcis-9941	138	22	test	test	NOUN
fcis-9941	138	23	vqa	vqa	PROPN
fcis-9941	138	24	v2	v2	PROPN
fcis-9941	138	25	val	val	NOUN
fcis-9941	138	26	all	all	PRON
fcis-9941	138	27	y	y	PROPN
fcis-9941	138	28	/	/	SYM
fcis-9941	138	29	n	n	CCONJ
fcis-9941	138	30	num	num	ADJ
fcis-9941	138	31	other	other	ADJ
fcis-9941	138	32	all	all	DET
fcis-9941	138	33	y	y	PROPN
fcis-9941	138	34	/	/	SYM
fcis-9941	138	35	n	n	CCONJ
fcis-9941	138	36	num	num	ADJ
fcis-9941	138	37	other	other	ADJ
fcis-9941	138	38	actseek[30	actseek[30	PROPN
fcis-9941	138	39	]	]	PUNCT
fcis-9941	138	40	updn	updn	NOUN
fcis-9941	138	41	46.00	46.00	NUM
fcis-9941	138	42	58.24	58.24	NUM
fcis-9941	138	43	29.49	29.49	NUM
fcis-9941	138	44	44.33	44.33	NUM
fcis-9941	138	45	a1c	a1c	NOUN
fcis-9941	138	46	-	-	PUNCT
fcis-9941	138	47	ws[31	ws[31	PROPN
fcis-9941	138	48	]	]	PUNCT
fcis-9941	138	49	updn	updn	NOUN
fcis-9941	138	50	39.60	39.60	NUM
fcis-9941	138	51	42.70	42.70	NUM
fcis-9941	138	52	12.90	12.90	NUM
fcis-9941	138	53	45.3	45.3	NUM
fcis-9941	138	54	css[15	css[15	NOUN
fcis-9941	138	55	]	]	PUNCT
fcis-9941	138	56	updn	updn	NOUN
fcis-9941	138	57	58.95	58.95	NUM
fcis-9941	138	58	84.37	84.37	NUM
fcis-9941	138	59	49.42	49.42	NUM
fcis-9941	138	60	48.21	48.21	NUM
fcis-9941	138	61	59.91	59.91	NUM
fcis-9941	138	62	73.25	73.25	NUM
fcis-9941	138	63	39.77	39.77	NUM
fcis-9941	138	64	55.11	55.11	NUM
fcis-9941	138	65	cl	cl	NOUN
fcis-9941	138	66	-	-	PUNCT
fcis-9941	138	67	vqa[32	vqa[32	NOUN
fcis-9941	138	68	]	]	PUNCT
fcis-9941	138	69	updn	updn	NOUN
fcis-9941	138	70	59.18	59.18	NUM
fcis-9941	138	71	86.99	86.99	NUM
fcis-9941	138	72	49.89	49.89	NUM
fcis-9941	138	73	47.16	47.16	NUM
fcis-9941	138	74	57.29	57.29	NUM
fcis-9941	138	75	67.27	67.27	NUM
fcis-9941	138	76	38.40	38.40	NUM
fcis-9941	138	77	54.71	54.71	NUM
fcis-9941	138	78	gradsup[33	gradsup[33	NOUN
fcis-9941	138	79	]	]	PUNCT
fcis-9941	138	80	updn	updn	NOUN
fcis-9941	138	81	46.80	46.80	NUM
fcis-9941	138	82	64.50	64.50	NUM
fcis-9941	138	83	15.30	15.30	NUM
fcis-9941	138	84	45.90	45.90	NUM
fcis-9941	138	85	mutant[34	mutant[34	PROPN
fcis-9941	138	86	]	]	PUNCT
fcis-9941	138	87	updn	updn	NOUN
fcis-9941	138	88	61.72	61.72	NUM
fcis-9941	138	89	88.90	88.90	NUM
fcis-9941	138	90	49.68	49.68	NUM
fcis-9941	138	91	50.78	50.78	NUM
fcis-9941	138	92	62.56	62.56	NUM
fcis-9941	138	93	82.07	82.07	NUM
fcis-9941	138	94	42.52	42.52	NUM
fcis-9941	138	95	53.28	53.28	NUM
fcis-9941	138	96	randimg[35	randimg[35	X
fcis-9941	138	97	]	]	PUNCT
fcis-9941	138	98	updn	updn	NOUN
fcis-9941	138	99	55.37	55.37	NUM
fcis-9941	138	100	83.89	83.89	NUM
fcis-9941	138	101	41.60	41.60	NUM
fcis-9941	138	102	44.20	44.20	NUM
fcis-9941	138	103	57.24	57.24	NUM
fcis-9941	138	104	76.53	76.53	NUM
fcis-9941	138	105	33.87	33.87	NUM
fcis-9941	138	106	48.57	48.57	NUM
fcis-9941	138	107	ssl[16	ssl[16	PROPN
fcis-9941	138	108	]	]	PUNCT
fcis-9941	138	109	updn	updn	NOUN
fcis-9941	138	110	57.59	57.59	NUM
fcis-9941	138	111	86.53	86.53	NUM
fcis-9941	138	112	29.87	29.87	NUM
fcis-9941	138	113	50.03	50.03	NUM
fcis-9941	138	114	63.73	63.73	NUM
fcis-9941	138	115	unshuffling[36	unshuffling[36	ADJ
fcis-9941	138	116	]	]	PUNCT
fcis-9941	138	117	updn	updn	NOUN
fcis-9941	138	118	42.39	42.39	NUM
fcis-9941	138	119	47.72	47.72	NUM
fcis-9941	138	120	14.43	14.43	NUM
fcis-9941	138	121	47.24	47.24	NUM
fcis-9941	138	122	61.08	61.08	NUM
fcis-9941	138	123	78.32	78.32	NUM
fcis-9941	138	124	42.16	42.16	NUM
fcis-9941	138	125	52.81	52.81	NUM
fcis-9941	138	126	lp	lp	ADJ
fcis-9941	138	127	-	-	PUNCT
fcis-9941	138	128	focal[37	focal[37	NOUN
fcis-9941	138	129	]	]	PUNCT
fcis-9941	138	130	updn	updn	NOUN
fcis-9941	138	131	58.45	58.45	NUM
fcis-9941	138	132	88.34	88.34	NUM
fcis-9941	138	133	34.67	34.67	NUM
fcis-9941	138	134	49.32	49.32	NUM
fcis-9941	138	135	62.45	62.45	NUM
fcis-9941	138	136	ada	ada	PROPN
fcis-9941	138	137	-	-	PUNCT
fcis-9941	138	138	vqa[38	vqa[38	PROPN
fcis-9941	138	139	]	]	PUNCT
fcis-9941	138	140	updn	updn	NOUN
fcis-9941	138	141	54.67	54.67	NUM
fcis-9941	138	142	72.47	72.47	NUM
fcis-9941	138	143	53.81	53.81	NUM
fcis-9941	138	144	45.58	45.58	NUM
fcis-9941	138	145	ccb	ccb	PROPN
fcis-9941	138	146	-	-	PUNCT
fcis-9941	138	147	vqa[39	vqa[39	NOUN
fcis-9941	138	148	]	]	PUNCT
fcis-9941	138	149	updn	updn	NOUN
fcis-9941	138	150	59.12	59.12	NUM
fcis-9941	138	151	89.12	89.12	NUM
fcis-9941	138	152	51.04	51.04	NUM
fcis-9941	138	153	45.62	45.62	NUM
fcis-9941	138	154	59.17	59.17	NUM
fcis-9941	138	155	77.28	77.28	NUM
fcis-9941	138	156	33.71	33.71	NUM
fcis-9941	138	157	52.14	52.14	NUM
fcis-9941	138	158	sbs[40	sbs[40	PROPN
fcis-9941	138	159	]	]	PUNCT
fcis-9941	138	160	updn	updn	NOUN
fcis-9941	138	161	59.57	59.57	NUM
fcis-9941	138	162	87.44	87.44	NUM
fcis-9941	138	163	52.96	52.96	NUM
fcis-9941	138	164	46.79	46.79	NUM
fcis-9941	138	165	61.97	61.97	NUM
fcis-9941	138	166	78.80	78.80	NUM
fcis-9941	138	167	42.17	42.17	NUM
fcis-9941	138	168	54.41	54.41	NUM
fcis-9941	138	169	weaqa[41	weaqa[41	PROPN
fcis-9941	138	170	]	]	PUNCT
fcis-9941	138	171	updn	updn	NOUN
fcis-9941	138	172	41.20	41.20	NUM
fcis-9941	138	173	68.50	68.50	NUM
fcis-9941	138	174	29.80	29.80	NUM
fcis-9941	138	175	30.00	30.00	NUM
fcis-9941	138	176	x	x	NOUN
fcis-9941	138	177	-	-	PUNCT
fcis-9941	138	178	ggm[42	ggm[42	ADJ
fcis-9941	138	179	]	]	PUNCT
fcis-9941	138	180	updn	updn	NOUN
fcis-9941	138	181	45.71	45.71	NUM
fcis-9941	138	182	43.48	43.48	NUM
fcis-9941	138	183	27.65	27.65	NUM
fcis-9941	138	184	52.65	52.65	NUM
fcis-9941	138	185	cft	cft	NOUN
fcis-9941	138	186	-	-	PUNCT
fcis-9941	138	187	vqa[43	vqa[43	PROPN
fcis-9941	138	188	]	]	PUNCT
fcis-9941	138	189	updn	updn	NOUN
fcis-9941	138	190	59.37	59.37	NUM
fcis-9941	138	191	87.95	87.95	NUM
fcis-9941	138	192	52.42	52.42	NUM
fcis-9941	138	193	46.30	46.30	NUM
fcis-9941	138	194	59.82	59.82	NUM
fcis-9941	138	195	74.91	74.91	NUM
fcis-9941	138	196	38.64	38.64	NUM
fcis-9941	138	197	53.97	53.97	NUM
fcis-9941	138	198	3	3	NUM
fcis-9941	138	199	.	.	PUNCT
fcis-9941	138	200	conclusion	conclusion	NOUN
fcis-9941	138	201	in	in	ADP
fcis-9941	138	202	the	the	DET
fcis-9941	138	203	robustness	robustness	NOUN
fcis-9941	138	204	research	research	NOUN
fcis-9941	138	205	method	method	NOUN
fcis-9941	138	206	of	of	ADP
fcis-9941	138	207	the	the	DET
fcis-9941	138	208	visual	visual	ADJ
fcis-9941	138	209	question	question	NOUN
fcis-9941	138	210	answering	answering	NOUN
fcis-9941	138	211	model	model	NOUN
fcis-9941	138	212	,	,	PUNCT
fcis-9941	138	213	there	there	PRON
fcis-9941	138	214	are	be	VERB
fcis-9941	138	215	still	still	ADV
fcis-9941	138	216	problems	problem	NOUN
fcis-9941	138	217	such	such	ADJ
fcis-9941	138	218	as	as	ADP
fcis-9941	138	219	poor	poor	ADJ
fcis-9941	138	220	generalization	generalization	NOUN
fcis-9941	138	221	of	of	ADP
fcis-9941	138	222	the	the	DET
fcis-9941	138	223	model	model	NOUN
fcis-9941	138	224	,	,	PUNCT
fcis-9941	138	225	uninterpretable	uninterpretable	ADJ
fcis-9941	138	226	answers	answer	NOUN
fcis-9941	138	227	,	,	PUNCT
fcis-9941	138	228	and	and	CCONJ
fcis-9941	138	229	low	low	ADJ
fcis-9941	138	230	accuracy	accuracy	NOUN
fcis-9941	138	231	of	of	ADP
fcis-9941	138	232	counting	count	VERB
fcis-9941	138	233	questions	question	NOUN
fcis-9941	138	234	.	.	PUNCT
fcis-9941	139	1	among	among	ADP
fcis-9941	139	2	them	they	PRON
fcis-9941	139	3	,	,	PUNCT
fcis-9941	139	4	the	the	DET
fcis-9941	139	5	visual	visual	ADJ
fcis-9941	139	6	question	question	NOUN
fcis-9941	139	7	answering	answering	NOUN
fcis-9941	139	8	model	model	NOUN
fcis-9941	139	9	is	be	AUX
fcis-9941	139	10	affected	affect	VERB
fcis-9941	139	11	by	by	ADP
fcis-9941	139	12	the	the	DET
fcis-9941	139	13	surface	surface	NOUN
fcis-9941	139	14	correlation	correlation	NOUN
fcis-9941	139	15	of	of	ADP
fcis-9941	139	16	the	the	DET
fcis-9941	139	17	training	training	NOUN
fcis-9941	139	18	data	datum	NOUN
fcis-9941	139	19	and	and	CCONJ
fcis-9941	139	20	lacks	lack	VERB
fcis-9941	139	21	image	image	NOUN
fcis-9941	139	22	foundation	foundation	NOUN
fcis-9941	139	23	,	,	PUNCT
fcis-9941	139	24	that	that	ADV
fcis-9941	139	25	is	is	ADV
fcis-9941	139	26	,	,	PUNCT
fcis-9941	139	27	it	it	PRON
fcis-9941	139	28	is	be	AUX
fcis-9941	139	29	affected	affect	VERB
fcis-9941	139	30	by	by	ADP
fcis-9941	139	31	the	the	DET
fcis-9941	139	32	language	language	NOUN
fcis-9941	139	33	prior	prior	ADJ
fcis-9941	139	34	problem	problem	NOUN
fcis-9941	139	35	and	and	CCONJ
fcis-9941	139	36	has	have	AUX
fcis-9941	139	37	become	become	VERB
fcis-9941	139	38	a	a	DET
fcis-9941	139	39	popular	popular	ADJ
fcis-9941	139	40	research	research	NOUN
fcis-9941	139	41	direction	direction	NOUN
fcis-9941	139	42	in	in	ADP
fcis-9941	139	43	the	the	DET
fcis-9941	139	44	field	field	NOUN
fcis-9941	139	45	of	of	ADP
fcis-9941	139	46	visual	visual	ADJ
fcis-9941	139	47	question	question	NOUN
fcis-9941	139	48	answering	answer	VERB
fcis-9941	139	49	in	in	ADP
fcis-9941	139	50	the	the	DET
fcis-9941	139	51	past	past	ADJ
fcis-9941	139	52	two	two	NUM
fcis-9941	139	53	years	year	NOUN
fcis-9941	139	54	,	,	PUNCT
fcis-9941	139	55	and	and	CCONJ
fcis-9941	139	56	has	have	AUX
fcis-9941	139	57	become	become	VERB
fcis-9941	139	58	a	a	DET
fcis-9941	139	59	landmark	landmark	ADJ
fcis-9941	139	60	branch	branch	NOUN
fcis-9941	139	61	in	in	ADP
fcis-9941	139	62	visual	visual	ADJ
fcis-9941	139	63	question	question	NOUN
fcis-9941	139	64	answering	answering	NOUN
fcis-9941	139	65	.	.	PUNCT
fcis-9941	140	1	this	this	DET
fcis-9941	140	2	research	research	NOUN
fcis-9941	140	3	direction	direction	NOUN
fcis-9941	140	4	attempts	attempt	VERB
fcis-9941	140	5	to	to	PART
fcis-9941	140	6	solve	solve	VERB
fcis-9941	140	7	the	the	DET
fcis-9941	140	8	problem	problem	NOUN
fcis-9941	140	9	of	of	ADP
fcis-9941	140	10	unbalanced	unbalanced	ADJ
fcis-9941	140	11	data	datum	NOUN
fcis-9941	140	12	distribution	distribution	NOUN
fcis-9941	140	13	in	in	ADP
fcis-9941	140	14	multimodal	multimodal	ADJ
fcis-9941	140	15	information	information	NOUN
fcis-9941	140	16	deep	deep	ADJ
fcis-9941	140	17	learning	learning	NOUN
fcis-9941	140	18	models	model	NOUN
fcis-9941	140	19	,	,	PUNCT
fcis-9941	140	20	and	and	CCONJ
fcis-9941	140	21	unbalanced	unbalanced	ADJ
fcis-9941	140	22	data	datum	NOUN
fcis-9941	140	23	distribution	distribution	NOUN
fcis-9941	140	24	is	be	AUX
fcis-9941	140	25	also	also	ADV
fcis-9941	140	26	a	a	DET
fcis-9941	140	27	common	common	ADJ
fcis-9941	140	28	problem	problem	NOUN
fcis-9941	140	29	faced	face	VERB
fcis-9941	140	30	by	by	ADP
fcis-9941	140	31	machine	machine	NOUN
fcis-9941	140	32	learning	learning	NOUN
fcis-9941	140	33	.	.	PUNCT
fcis-9941	141	1	the	the	DET
fcis-9941	141	2	current	current	ADJ
fcis-9941	141	3	vqa	vqa	PROPN
fcis-9941	141	4	task	task	NOUN
fcis-9941	141	5	is	be	AUX
fcis-9941	141	6	generally	generally	ADV
fcis-9941	141	7	to	to	PART
fcis-9941	141	8	predict	predict	VERB
fcis-9941	141	9	the	the	DET
fcis-9941	141	10	correct	correct	ADJ
fcis-9941	141	11	answer	answer	NOUN
fcis-9941	141	12	from	from	ADP
fcis-9941	141	13	the	the	DET
fcis-9941	141	14	preset	preset	ADJ
fcis-9941	141	15	answers	answer	NOUN
fcis-9941	141	16	,	,	PUNCT
fcis-9941	141	17	and	and	CCONJ
fcis-9941	141	18	one	one	NUM
fcis-9941	141	19	of	of	ADP
fcis-9941	141	20	the	the	DET
fcis-9941	141	21	sources	source	NOUN
fcis-9941	141	22	of	of	ADP
fcis-9941	141	23	language	language	NOUN
fcis-9941	141	24	bias	bias	NOUN
fcis-9941	141	25	makes	make	VERB
fcis-9941	141	26	the	the	DET
fcis-9941	141	27	data	datum	NOUN
fcis-9941	141	28	distribution	distribution	NOUN
fcis-9941	141	29	uneven	uneven	ADJ
fcis-9941	141	30	.	.	PUNCT
fcis-9941	142	1	therefore	therefore	ADV
fcis-9941	142	2	,	,	PUNCT
fcis-9941	142	3	enabling	enable	VERB
fcis-9941	142	4	vqa	vqa	NOUN
fcis-9941	142	5	models	model	NOUN
fcis-9941	142	6	to	to	PART
fcis-9941	142	7	answer	answer	VERB
fcis-9941	142	8	questions	question	NOUN
fcis-9941	142	9	using	use	VERB
fcis-9941	142	10	external	external	ADJ
fcis-9941	142	11	databases	database	NOUN
fcis-9941	142	12	and	and	CCONJ
fcis-9941	142	13	external	external	ADJ
fcis-9941	142	14	datasets	dataset	NOUN
fcis-9941	142	15	or	or	CCONJ
fcis-9941	142	16	combining	combine	VERB
fcis-9941	142	17	knowledge	knowledge	NOUN
fcis-9941	142	18	graphs	graph	NOUN
fcis-9941	142	19	may	may	AUX
fcis-9941	142	20	effectively	effectively	ADV
fcis-9941	142	21	alleviate	alleviate	VERB
fcis-9941	142	22	the	the	DET
fcis-9941	142	23	problem	problem	NOUN
fcis-9941	142	24	of	of	ADP
fcis-9941	142	25	language	language	NOUN
fcis-9941	142	26	bias	bias	NOUN
fcis-9941	142	27	.	.	PUNCT
fcis-9941	143	1	auxiliary	auxiliary	ADJ
fcis-9941	143	2	methods	method	NOUN
fcis-9941	143	3	through	through	ADP
fcis-9941	143	4	external	external	ADJ
fcis-9941	143	5	knowledge	knowledge	NOUN
fcis-9941	143	6	may	may	AUX
fcis-9941	143	7	become	become	VERB
fcis-9941	143	8	one	one	NUM
fcis-9941	143	9	of	of	ADP
fcis-9941	143	10	the	the	DET
fcis-9941	143	11	research	research	NOUN
fcis-9941	143	12	directions	direction	NOUN
fcis-9941	143	13	to	to	PART
fcis-9941	143	14	address	address	VERB
fcis-9941	143	15	language	language	NOUN
fcis-9941	143	16	bias	bias	NOUN
fcis-9941	143	17	.	.	PUNCT
fcis-9941	144	1	due	due	ADP
fcis-9941	144	2	to	to	ADP
fcis-9941	144	3	the	the	DET
fcis-9941	144	4	uneven	uneven	ADJ
fcis-9941	144	5	distribution	distribution	NOUN
fcis-9941	144	6	of	of	ADP
fcis-9941	144	7	question	question	NOUN
fcis-9941	144	8	answers	answer	NOUN
fcis-9941	144	9	in	in	ADP
fcis-9941	144	10	the	the	DET
fcis-9941	144	11	data	data	NOUN
fcis-9941	144	12	set	set	NOUN
fcis-9941	144	13	,	,	PUNCT
fcis-9941	144	14	there	there	PRON
fcis-9941	144	15	is	be	VERB
fcis-9941	144	16	a	a	DET
fcis-9941	144	17	long	long	ADJ
fcis-9941	144	18	-	-	PUNCT
fcis-9941	144	19	tail	tail	NOUN
fcis-9941	144	20	distribution	distribution	NOUN
fcis-9941	144	21	problem	problem	NOUN
fcis-9941	144	22	,	,	PUNCT
fcis-9941	144	23	and	and	CCONJ
fcis-9941	144	24	the	the	DET
fcis-9941	144	25	lack	lack	NOUN
fcis-9941	144	26	of	of	ADP
fcis-9941	144	27	finergrained	finergraine	VERB
fcis-9941	144	28	labels	label	NOUN
fcis-9941	144	29	for	for	ADP
fcis-9941	144	30	question	question	NOUN
fcis-9941	144	31	answers	answer	NOUN
fcis-9941	144	32	makes	make	VERB
fcis-9941	144	33	it	it	PRON
fcis-9941	144	34	difficult	difficult	ADJ
fcis-9941	144	35	to	to	PART
fcis-9941	144	36	transform	transform	VERB
fcis-9941	144	37	the	the	DET
fcis-9941	144	38	language	language	NOUN
fcis-9941	144	39	bias	bias	NOUN
fcis-9941	144	40	problem	problem	NOUN
fcis-9941	144	41	into	into	ADP
fcis-9941	144	42	a	a	DET
fcis-9941	144	43	long	long	ADJ
fcis-9941	144	44	-	-	PUNCT
fcis-9941	144	45	tail	tail	NOUN
fcis-9941	144	46	problem	problem	NOUN
fcis-9941	144	47	.	.	PUNCT
fcis-9941	145	1	due	due	ADP
fcis-9941	145	2	to	to	ADP
fcis-9941	145	3	the	the	DET
fcis-9941	145	4	limitation	limitation	NOUN
fcis-9941	145	5	of	of	ADP
fcis-9941	145	6	human	human	ADJ
fcis-9941	145	7	resources	resource	NOUN
fcis-9941	145	8	and	and	CCONJ
fcis-9941	145	9	other	other	ADJ
fcis-9941	145	10	practical	practical	ADJ
fcis-9941	145	11	factors	factor	NOUN
fcis-9941	145	12	,	,	PUNCT
fcis-9941	145	13	it	it	PRON
fcis-9941	145	14	is	be	AUX
fcis-9941	145	15	difficult	difficult	ADJ
fcis-9941	145	16	to	to	PART
fcis-9941	145	17	classify	classify	VERB
fcis-9941	145	18	the	the	DET
fcis-9941	145	19	data	datum	NOUN
fcis-9941	145	20	at	at	ADP
fcis-9941	145	21	a	a	DET
fcis-9941	145	22	very	very	ADV
fcis-9941	145	23	fine	fine	ADV
fcis-9941	145	24	-	-	PUNCT
fcis-9941	145	25	grained	grain	VERB
fcis-9941	145	26	level	level	NOUN
fcis-9941	145	27	,	,	PUNCT
fcis-9941	145	28	which	which	PRON
fcis-9941	145	29	leads	lead	VERB
fcis-9941	145	30	to	to	ADP
fcis-9941	145	31	the	the	DET
fcis-9941	145	32	imbalance	imbalance	NOUN
fcis-9941	145	33	of	of	ADP
fcis-9941	145	34	fine	fine	ADV
fcis-9941	145	35	-	-	PUNCT
fcis-9941	145	36	grained	grain	VERB
fcis-9941	145	37	labels	label	NOUN
fcis-9941	145	38	in	in	ADP
fcis-9941	145	39	the	the	DET
fcis-9941	145	40	data	datum	NOUN
fcis-9941	145	41	,	,	PUNCT
fcis-9941	145	42	and	and	CCONJ
fcis-9941	145	43	then	then	ADV
fcis-9941	145	44	the	the	DET
fcis-9941	145	45	problem	problem	NOUN
fcis-9941	145	46	of	of	ADP
fcis-9941	145	47	language	language	NOUN
fcis-9941	145	48	bias	bias	NOUN
fcis-9941	145	49	in	in	ADP
fcis-9941	145	50	the	the	DET
fcis-9941	145	51	training	training	NOUN
fcis-9941	145	52	process	process	NOUN
fcis-9941	145	53	.	.	PUNCT
fcis-9941	146	1	how	how	SCONJ
fcis-9941	146	2	to	to	PART
fcis-9941	146	3	solve	solve	VERB
fcis-9941	146	4	the	the	DET
fcis-9941	146	5	problem	problem	NOUN
fcis-9941	146	6	of	of	ADP
fcis-9941	146	7	language	language	NOUN
fcis-9941	146	8	bias	bias	NOUN
fcis-9941	146	9	in	in	ADP
fcis-9941	146	10	the	the	DET
fcis-9941	146	11	vqa	vqa	PROPN
fcis-9941	146	12	task	task	NOUN
fcis-9941	146	13	being	be	AUX
fcis-9941	146	14	transformed	transform	VERB
fcis-9941	146	15	into	into	ADP
fcis-9941	146	16	a	a	DET
fcis-9941	146	17	long	long	ADJ
fcis-9941	146	18	-	-	PUNCT
fcis-9941	146	19	tail	tail	NOUN
fcis-9941	146	20	distribution	distribution	NOUN
fcis-9941	146	21	,	,	PUNCT
fcis-9941	146	22	deeply	deeply	ADV
fcis-9941	146	23	mining	mining	NOUN
fcis-9941	146	24	language	language	NOUN
fcis-9941	146	25	and	and	CCONJ
fcis-9941	146	26	visual	visual	ADJ
fcis-9941	146	27	information	information	NOUN
fcis-9941	146	28	,	,	PUNCT
fcis-9941	146	29	and	and	CCONJ
fcis-9941	146	30	extracting	extract	VERB
fcis-9941	146	31	fine	fine	ADV
fcis-9941	146	32	-	-	PUNCT
fcis-9941	146	33	grained	grain	VERB
fcis-9941	146	34	labels	label	NOUN
fcis-9941	146	35	may	may	AUX
fcis-9941	146	36	become	become	VERB
fcis-9941	146	37	the	the	DET
fcis-9941	146	38	research	research	NOUN
fcis-9941	146	39	direction	direction	NOUN
fcis-9941	146	40	to	to	PART
fcis-9941	146	41	effectively	effectively	ADV
fcis-9941	146	42	solve	solve	VERB
fcis-9941	146	43	the	the	DET
fcis-9941	146	44	problem	problem	NOUN
fcis-9941	146	45	of	of	ADP
fcis-9941	146	46	language	language	NOUN
fcis-9941	146	47	bias	bias	NOUN
fcis-9941	146	48	in	in	ADP
fcis-9941	146	49	the	the	DET
fcis-9941	146	50	future	future	NOUN
fcis-9941	146	51	.	.	PUNCT
fcis-9941	147	1	some	some	PRON
fcis-9941	147	2	of	of	ADP
fcis-9941	147	3	the	the	DET
fcis-9941	147	4	existing	exist	VERB
fcis-9941	147	5	methods	method	NOUN
fcis-9941	147	6	for	for	ADP
fcis-9941	147	7	mitigating	mitigate	VERB
fcis-9941	147	8	language	language	NOUN
fcis-9941	147	9	priors	prior	NOUN
fcis-9941	147	10	and	and	CCONJ
fcis-9941	147	11	data	datum	NOUN
fcis-9941	147	12	augmentation	augmentation	NOUN
fcis-9941	147	13	can	can	AUX
fcis-9941	147	14	be	be	AUX
fcis-9941	147	15	categorized	categorize	VERB
fcis-9941	147	16	as	as	ADP
fcis-9941	147	17	causal	causal	ADJ
fcis-9941	147	18	inference	inference	NOUN
fcis-9941	147	19	methods	method	NOUN
fcis-9941	147	20	.	.	PUNCT
fcis-9941	148	1	the	the	DET
fcis-9941	148	2	problem	problem	NOUN
fcis-9941	148	3	of	of	ADP
fcis-9941	148	4	language	language	NOUN
fcis-9941	148	5	bias	bias	NOUN
fcis-9941	148	6	in	in	ADP
fcis-9941	148	7	vqa	vqa	PROPN
fcis-9941	148	8	can	can	AUX
fcis-9941	148	9	be	be	AUX
fcis-9941	148	10	analyzed	analyze	VERB
fcis-9941	148	11	from	from	ADP
fcis-9941	148	12	the	the	DET
fcis-9941	148	13	perspective	perspective	NOUN
fcis-9941	148	14	of	of	ADP
fcis-9941	148	15	causality	causality	NOUN
fcis-9941	148	16	,	,	PUNCT
fcis-9941	148	17	including	include	VERB
fcis-9941	148	18	the	the	DET
fcis-9941	148	19	construction	construction	NOUN
fcis-9941	148	20	of	of	ADP
fcis-9941	148	21	causality	causality	NOUN
fcis-9941	148	22	graphs	graph	NOUN
fcis-9941	148	23	,	,	PUNCT
fcis-9941	148	24	counterfactual	counterfactual	ADJ
fcis-9941	148	25	data	datum	NOUN
fcis-9941	148	26	augmentation	augmentation	NOUN
fcis-9941	148	27	,	,	PUNCT
fcis-9941	148	28	etc	etc	X
fcis-9941	148	29	.	.	X
fcis-9941	148	30	inferring	infer	VERB
fcis-9941	148	31	models	model	NOUN
fcis-9941	148	32	at	at	ADP
fcis-9941	148	33	multiple	multiple	ADJ
fcis-9941	148	34	levels	level	NOUN
fcis-9941	148	35	through	through	ADP
fcis-9941	148	36	targeted	target	VERB
fcis-9941	148	37	data	datum	NOUN
fcis-9941	148	38	augmentation	augmentation	NOUN
fcis-9941	148	39	and	and	CCONJ
fcis-9941	148	40	constructing	construct	VERB
fcis-9941	148	41	counterfactual	counterfactual	ADJ
fcis-9941	148	42	examples	example	NOUN
fcis-9941	148	43	can	can	AUX
fcis-9941	148	44	analyze	analyze	VERB
fcis-9941	148	45	the	the	DET
fcis-9941	148	46	source	source	NOUN
fcis-9941	148	47	of	of	ADP
fcis-9941	148	48	language	language	NOUN
fcis-9941	148	49	bias	bias	NOUN
fcis-9941	148	50	from	from	ADP
fcis-9941	148	51	a	a	DET
fcis-9941	148	52	causal	causal	ADJ
fcis-9941	148	53	perspective	perspective	NOUN
fcis-9941	148	54	and	and	CCONJ
fcis-9941	148	55	mitigate	mitigate	VERB
fcis-9941	148	56	it	it	PRON
fcis-9941	148	57	to	to	ADP
fcis-9941	148	58	some	some	DET
fcis-9941	148	59	extent	extent	NOUN
fcis-9941	148	60	.	.	PUNCT
fcis-9941	149	1	therefore	therefore	ADV
fcis-9941	149	2	,	,	PUNCT
fcis-9941	149	3	allowing	allow	VERB
fcis-9941	149	4	machine	machine	NOUN
fcis-9941	149	5	learning	learn	VERB
fcis-9941	149	6	data	datum	NOUN
fcis-9941	149	7	to	to	PART
fcis-9941	149	8	see	see	VERB
fcis-9941	149	9	profound	profound	ADJ
fcis-9941	149	10	causal	causal	ADJ
fcis-9941	149	11	relationships	relationship	NOUN
fcis-9941	149	12	is	be	AUX
fcis-9941	149	13	an	an	DET
fcis-9941	149	14	effective	effective	ADJ
fcis-9941	149	15	way	way	NOUN
fcis-9941	149	16	to	to	PART
fcis-9941	149	17	solve	solve	VERB
fcis-9941	149	18	language	language	NOUN
fcis-9941	149	19	bias	bias	NOUN
fcis-9941	149	20	.	.	PUNCT
fcis-9941	150	1	to	to	PART
fcis-9941	150	2	achieve	achieve	VERB
fcis-9941	150	3	true	true	ADJ
fcis-9941	150	4	artificial	artificial	ADJ
fcis-9941	150	5	intelligence	intelligence	NOUN
fcis-9941	150	6	,	,	PUNCT
fcis-9941	150	7	there	there	PRON
fcis-9941	150	8	is	be	VERB
fcis-9941	150	9	still	still	ADV
fcis-9941	150	10	a	a	DET
fcis-9941	150	11	long	long	ADJ
fcis-9941	150	12	way	way	NOUN
fcis-9941	150	13	to	to	PART
fcis-9941	150	14	go	go	VERB
fcis-9941	150	15	.	.	PUNCT
fcis-9941	151	1	in	in	ADP
fcis-9941	151	2	future	future	ADJ
fcis-9941	151	3	research	research	NOUN
fcis-9941	151	4	work	work	NOUN
fcis-9941	151	5	,	,	PUNCT
fcis-9941	151	6	dealing	deal	VERB
fcis-9941	151	7	with	with	ADP
fcis-9941	151	8	language	language	NOUN
fcis-9941	151	9	prior	prior	ADJ
fcis-9941	151	10	issues	issue	NOUN
fcis-9941	151	11	is	be	AUX
fcis-9941	151	12	still	still	ADV
fcis-9941	151	13	a	a	DET
fcis-9941	151	14	direction	direction	NOUN
fcis-9941	151	15	worthy	worthy	ADJ
fcis-9941	151	16	of	of	ADP
fcis-9941	151	17	further	further	ADJ
fcis-9941	151	18	research	research	NOUN
fcis-9941	151	19	.	.	PUNCT
fcis-9941	152	1	references	reference	NOUN
fcis-9941	152	2	[	[	X
fcis-9941	152	3	1	1	NUM
fcis-9941	152	4	]	]	PUNCT
fcis-9941	152	5	zhang	zhang	PROPN
fcis-9941	152	6	p	p	X
fcis-9941	152	7	,	,	PUNCT
fcis-9941	152	8	goyal	goyal	PROPN
fcis-9941	152	9	y	y	PROPN
fcis-9941	152	10	,	,	PUNCT
fcis-9941	152	11	summers	summer	NOUN
fcis-9941	152	12	-	-	PUNCT
fcis-9941	152	13	stay	stay	NOUN
fcis-9941	152	14	d	d	NOUN
fcis-9941	152	15	,	,	PUNCT
fcis-9941	152	16	et	et	PROPN
fcis-9941	152	17	al	al	PROPN
fcis-9941	152	18	.	.	PROPN
fcis-9941	152	19	yin	yin	PROPN
fcis-9941	152	20	and	and	CCONJ
fcis-9941	152	21	yang	yang	PROPN
fcis-9941	152	22	:	:	PUNCT
fcis-9941	152	23	balancing	balancing	NOUN
fcis-9941	152	24	and	and	CCONJ
fcis-9941	152	25	answering	answer	VERB
fcis-9941	152	26	binary	binary	ADJ
fcis-9941	152	27	visual	visual	ADJ
fcis-9941	152	28	questions	question	NOUN
fcis-9941	152	29	[	[	X
fcis-9941	152	30	c]//	c]//	ADJ
fcis-9941	152	31	proceedings	proceeding	NOUN
fcis-9941	152	32	of	of	ADP
fcis-9941	152	33	the	the	DET
fcis-9941	152	34	ieee	ieee	NOUN
fcis-9941	152	35	conference	conference	NOUN
fcis-9941	152	36	on	on	ADP
fcis-9941	152	37	computer	computer	NOUN
fcis-9941	152	38	vision	vision	NOUN
fcis-9941	152	39	and	and	CCONJ
fcis-9941	152	40	pattern	pattern	NOUN
fcis-9941	152	41	recognition	recognition	NOUN
fcis-9941	152	42	.	.	PUNCT
fcis-9941	153	1	2016	2016	NUM
fcis-9941	153	2	:	:	PUNCT
fcis-9941	153	3	5014	5014	NUM
fcis-9941	153	4	-	-	SYM
fcis-9941	153	5	5022	5022	NUM
fcis-9941	153	6	.	.	PUNCT
fcis-9941	154	1	[	[	X
fcis-9941	154	2	2	2	NUM
fcis-9941	154	3	]	]	X
fcis-9941	154	4	goyal	goyal	PROPN
fcis-9941	154	5	y	y	PROPN
fcis-9941	154	6	,	,	PUNCT
fcis-9941	154	7	khot	khot	PROPN
fcis-9941	154	8	t	t	PROPN
fcis-9941	154	9	,	,	PUNCT
fcis-9941	154	10	summers	summer	NOUN
fcis-9941	154	11	-	-	PUNCT
fcis-9941	154	12	stay	stay	NOUN
fcis-9941	154	13	d	d	NOUN
fcis-9941	154	14	,	,	PUNCT
fcis-9941	154	15	et	et	PROPN
fcis-9941	154	16	al	al	PROPN
fcis-9941	154	17	.	.	PUNCT
fcis-9941	155	1	making	make	VERB
fcis-9941	155	2	the	the	DET
fcis-9941	155	3	v	v	NOUN
fcis-9941	155	4	in	in	ADP
fcis-9941	155	5	vqa	vqa	PROPN
fcis-9941	155	6	matter	matter	NOUN
fcis-9941	155	7	:	:	PUNCT
fcis-9941	155	8	elevating	elevate	VERB
fcis-9941	155	9	the	the	DET
fcis-9941	155	10	role	role	NOUN
fcis-9941	155	11	of	of	ADP
fcis-9941	155	12	image	image	NOUN
fcis-9941	155	13	understanding	understanding	NOUN
fcis-9941	155	14	in	in	ADP
fcis-9941	155	15	visual	visual	ADJ
fcis-9941	155	16	question	question	NOUN
fcis-9941	155	17	answering	answer	VERB
fcis-9941	155	18	[	[	X
fcis-9941	155	19	c]//proceedings	c]//proceeding	NOUN
fcis-9941	155	20	of	of	ADP
fcis-9941	155	21	the	the	DET
fcis-9941	155	22	ieee	ieee	NOUN
fcis-9941	155	23	conference	conference	NOUN
fcis-9941	155	24	on	on	ADP
fcis-9941	155	25	computer	computer	NOUN
fcis-9941	155	26	vision	vision	NOUN
fcis-9941	155	27	and	and	CCONJ
fcis-9941	155	28	pattern	pattern	NOUN
fcis-9941	155	29	recognition	recognition	NOUN
fcis-9941	155	30	.	.	PUNCT
fcis-9941	156	1	2017	2017	NUM
fcis-9941	156	2	:	:	PUNCT
fcis-9941	156	3	6904	6904	NUM
fcis-9941	156	4	-	-	SYM
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fcis-9941	156	6	.	.	PUNCT
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fcis-9941	157	3	]	]	AUX
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fcis-9941	158	9	:	:	PUNCT
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fcis-9941	158	13	visual	visual	ADJ
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fcis-9941	158	16	[	[	X
fcis-9941	158	17	c]//	c]//	ADJ
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fcis-9941	158	21	ieee	ieee	NOUN
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fcis-9941	158	24	computer	computer	NOUN
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fcis-9941	158	29	.	.	PUNCT
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fcis-9941	159	2	:	:	PUNCT
fcis-9941	159	3	4971	4971	NUM
fcis-9941	159	4	-	-	SYM
fcis-9941	159	5	4980	4980	NUM
fcis-9941	159	6	.	.	PUNCT
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fcis-9941	160	11	shen	shen	PROPN
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fcis-9941	160	15	al	al	PROPN
fcis-9941	160	16	.	.	PUNCT
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fcis-9941	161	2	a	a	DET
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fcis-9941	161	4	:	:	PUNCT
fcis-9941	161	5	leveraging	leverage	VERB
fcis-9941	161	6	explanations	explanation	NOUN
fcis-9941	161	7	to	to	PART
fcis-9941	161	8	make	make	VERB
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fcis-9941	161	11	language	language	NOUN
fcis-9941	161	12	models	model	NOUN
fcis-9941	161	13	more	more	ADJ
fcis-9941	161	14	grounded[c]//proceedings	grounded[c]//proceeding	NOUN
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fcis-9941	161	17	ieee	ieee	NOUN
fcis-9941	161	18	/	/	SYM
fcis-9941	161	19	cvf	cvf	NOUN
fcis-9941	161	20	international	international	ADJ
fcis-9941	161	21	conference	conference	NOUN
fcis-9941	161	22	on	on	ADP
fcis-9941	161	23	computer	computer	NOUN
fcis-9941	161	24	vision	vision	NOUN
fcis-9941	161	25	.	.	PUNCT
fcis-9941	162	1	2019	2019	NUM
fcis-9941	162	2	:	:	PUNCT
fcis-9941	162	3	2591	2591	NUM
fcis-9941	162	4	-	-	SYM
fcis-9941	162	5	2600	2600	NUM
fcis-9941	162	6	.	.	PUNCT
fcis-9941	163	1	[	[	X
fcis-9941	163	2	5	5	NUM
fcis-9941	163	3	]	]	SYM
fcis-9941	163	4	li	li	PROPN
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fcis-9941	163	9	,	,	PUNCT
fcis-9941	163	10	cheng	cheng	PROPN
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fcis-9941	163	13	et	et	PROPN
fcis-9941	163	14	al	al	PROPN
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fcis-9941	163	16	relation	relation	NOUN
fcis-9941	163	17	-	-	PUNCT
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fcis-9941	163	19	graph	graph	NOUN
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fcis-9941	163	21	network	network	NOUN
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fcis-9941	163	24	question	question	NOUN
fcis-9941	163	25	answering[c]//proceedings	answering[c]//proceeding	NOUN
fcis-9941	163	26	of	of	ADP
fcis-9941	163	27	the	the	DET
fcis-9941	163	28	ieee	ieee	NOUN
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fcis-9941	163	30	cvf	cvf	NOUN
fcis-9941	163	31	international	international	ADJ
fcis-9941	163	32	conference	conference	NOUN
fcis-9941	163	33	on	on	ADP
fcis-9941	163	34	computer	computer	NOUN
fcis-9941	163	35	vision	vision	NOUN
fcis-9941	163	36	.	.	PUNCT
fcis-9941	164	1	2019	2019	NUM
fcis-9941	164	2	:	:	PUNCT
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fcis-9941	164	4	-	-	SYM
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fcis-9941	164	6	.	.	PUNCT
fcis-9941	165	1	[	[	X
fcis-9941	165	2	6	6	NUM
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fcis-9941	165	5	y	y	PROPN
fcis-9941	165	6	,	,	PUNCT
fcis-9941	165	7	garcia	garcia	PROPN
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fcis-9941	165	9	,	,	PUNCT
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fcis-9941	166	4	be	be	AUX
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fcis-9941	166	6	a	a	DET
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fcis-9941	166	8	words	word	NOUN
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fcis-9941	166	13	[	[	X
fcis-9941	166	14	j	j	X
fcis-9941	166	15	]	]	X
fcis-9941	166	16	.	.	PUNCT
fcis-9941	167	1	https://doi	https://doi	PROPN
fcis-9941	167	2	.	.	PUNCT
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fcis-9941	167	4	.	.	PUNCT
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fcis-9941	168	2	/	/	SYM
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fcis-9941	168	4	-	-	PUNCT
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fcis-9941	168	6	-	-	SYM
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fcis-9941	168	8	.	.	PUNCT
fcis-9941	169	1	[	[	X
fcis-9941	169	2	7	7	X
fcis-9941	169	3	]	]	X
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fcis-9941	169	6	,	,	PUNCT
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fcis-9941	169	15	al	al	PROPN
fcis-9941	169	16	.	.	PROPN
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fcis-9941	169	22	visual	visual	ADJ
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fcis-9941	170	1	[	[	X
fcis-9941	170	2	c]//	c]//	PROPN
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fcis-9941	170	17	the	the	DET
fcis-9941	170	18	11th	11th	ADJ
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fcis-9941	170	20	joint	joint	ADJ
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fcis-9941	170	22	on	on	ADP
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fcis-9941	170	24	language	language	NOUN
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fcis-9941	170	26	(	(	PUNCT
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fcis-9941	170	33	.	.	PUNCT
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fcis-9941	171	2	:	:	PUNCT
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fcis-9941	171	4	-	-	SYM
fcis-9941	171	5	4110	4110	NUM
fcis-9941	171	6	.	.	PUNCT
fcis-9941	172	1	[	[	X
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fcis-9941	172	23	the	the	DET
fcis-9941	172	24	32nd	32nd	ADJ
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fcis-9941	172	26	conference	conference	NOUN
fcis-9941	172	27	on	on	ADP
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fcis-9941	172	29	information	information	NOUN
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fcis-9941	172	32	.	.	PUNCT
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fcis-9941	173	2	:	:	PUNCT
fcis-9941	173	3	1548	1548	NUM
fcis-9941	173	4	-	-	SYM
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fcis-9941	173	6	.	.	PUNCT
fcis-9941	174	1	[	[	X
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fcis-9941	179	9	,	,	PUNCT
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fcis-9941	182	10	:	:	PUNCT
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fcis-9941	183	12	do	do	AUX
fcis-9941	183	13	n’t	not	PART
fcis-9941	183	14	take	take	VERB
fcis-9941	183	15	the	the	DET
fcis-9941	183	16	easy	easy	ADJ
fcis-9941	183	17	way	way	NOUN
fcis-9941	183	18	out	out	ADV
fcis-9941	183	19	:	:	PUNCT
fcis-9941	183	20	ensemble	ensemble	ADJ
fcis-9941	183	21	based	base	VERB
fcis-9941	183	22	methods	method	NOUN
fcis-9941	183	23	for	for	ADP
fcis-9941	183	24	avoiding	avoid	VERB
fcis-9941	183	25	known	know	VERB
fcis-9941	183	26	dataset	dataset	VERB
fcis-9941	183	27	biases[c]//proceedings	biases[c]//proceeding	NOUN
fcis-9941	183	28	of	of	ADP
fcis-9941	183	29	the	the	DET
fcis-9941	183	30	2019	2019	NUM
fcis-9941	183	31	conference	conference	NOUN
fcis-9941	183	32	on	on	ADP
fcis-9941	183	33	empirical	empirical	ADJ
fcis-9941	183	34	methods	method	NOUN
fcis-9941	183	35	in	in	ADP
fcis-9941	183	36	natural	natural	ADJ
fcis-9941	183	37	language	language	NOUN
fcis-9941	183	38	processing	processing	NOUN
fcis-9941	183	39	and	and	CCONJ
fcis-9941	183	40	the	the	DET
fcis-9941	183	41	9th	9th	ADJ
fcis-9941	183	42	international	international	ADJ
fcis-9941	183	43	joint	joint	ADJ
fcis-9941	183	44	conference	conference	NOUN
fcis-9941	183	45	on	on	ADP
fcis-9941	183	46	natural	natural	ADJ
fcis-9941	183	47	language	language	NOUN
fcis-9941	183	48	processing	processing	NOUN
fcis-9941	183	49	(	(	PUNCT
fcis-9941	183	50	emnlp	emnlp	NOUN
fcis-9941	183	51	-	-	PUNCT
fcis-9941	183	52	ijcnlp	ijcnlp	NOUN
fcis-9941	183	53	)	)	PUNCT
fcis-9941	183	54	.	.	PUNCT
fcis-9941	184	1	2019	2019	NUM
fcis-9941	184	2	:	:	PUNCT
fcis-9941	184	3	4069	4069	NUM
fcis-9941	184	4	-	-	SYM
fcis-9941	184	5	4082	4082	NUM
fcis-9941	184	6	.	.	PUNCT
fcis-9941	185	1	[	[	X
fcis-9941	185	2	13	13	NUM
fcis-9941	185	3	]	]	X
fcis-9941	185	4	han	han	PROPN
fcis-9941	185	5	x	x	PROPN
fcis-9941	185	6	,	,	PUNCT
fcis-9941	185	7	wang	wang	PROPN
fcis-9941	185	8	s	s	PROPN
fcis-9941	185	9	,	,	PUNCT
fcis-9941	185	10	su	su	PROPN
fcis-9941	185	11	c	c	PROPN
fcis-9941	185	12	,	,	PUNCT
fcis-9941	185	13	et	et	PROPN
fcis-9941	185	14	al	al	PROPN
fcis-9941	185	15	.	.	PUNCT
fcis-9941	186	1	greedy	greedy	ADJ
fcis-9941	186	2	gradient	gradient	NOUN
fcis-9941	186	3	ensemble	ensemble	ADJ
fcis-9941	186	4	for	for	ADP
fcis-9941	186	5	robust	robust	ADJ
fcis-9941	186	6	visual	visual	ADJ
fcis-9941	186	7	question	question	NOUN
fcis-9941	186	8	answering	answer	VERB
fcis-9941	186	9	[	[	X
fcis-9941	186	10	c]//proceedings	c]//proceeding	NOUN
fcis-9941	186	11	of	of	ADP
fcis-9941	186	12	the	the	DET
fcis-9941	186	13	ieee	ieee	NOUN
fcis-9941	186	14	/	/	SYM
fcis-9941	186	15	cvf	cvf	NOUN
fcis-9941	186	16	international	international	ADJ
fcis-9941	186	17	conference	conference	NOUN
fcis-9941	186	18	on	on	ADP
fcis-9941	186	19	computer	computer	NOUN
fcis-9941	186	20	vision	vision	NOUN
fcis-9941	186	21	.	.	PUNCT
fcis-9941	187	1	2021	2021	NUM
fcis-9941	187	2	:	:	PUNCT
fcis-9941	187	3	1584	1584	NUM
fcis-9941	187	4	-	-	SYM
fcis-9941	187	5	1593	1593	NUM
fcis-9941	187	6	.	.	PUNCT
fcis-9941	188	1	[	[	X
fcis-9941	188	2	14	14	NUM
fcis-9941	188	3	]	]	PUNCT
fcis-9941	188	4	selvaraju	selvaraju	VERB
fcis-9941	188	5	r	r	NOUN
fcis-9941	188	6	r	r	PROPN
fcis-9941	188	7	,	,	PUNCT
fcis-9941	188	8	lee	lee	PROPN
fcis-9941	188	9	s	s	PROPN
fcis-9941	188	10	,	,	PUNCT
fcis-9941	188	11	shen	shen	PROPN
fcis-9941	188	12	y	y	PROPN
fcis-9941	188	13	,	,	PUNCT
fcis-9941	188	14	et	et	PROPN
fcis-9941	188	15	al	al	PROPN
fcis-9941	188	16	.	.	PUNCT
fcis-9941	189	1	taking	take	VERB
fcis-9941	189	2	a	a	DET
fcis-9941	189	3	hint	hint	NOUN
fcis-9941	189	4	:	:	PUNCT
fcis-9941	189	5	leveraging	leverage	VERB
fcis-9941	189	6	explanations	explanation	NOUN
fcis-9941	189	7	to	to	PART
fcis-9941	189	8	make	make	VERB
fcis-9941	189	9	vision	vision	NOUN
fcis-9941	189	10	and	and	CCONJ
fcis-9941	189	11	language	language	NOUN
fcis-9941	189	12	models	model	NOUN
fcis-9941	189	13	more	more	ADV
fcis-9941	189	14	grounded	ground	VERB
fcis-9941	189	15	[	[	PUNCT
fcis-9941	189	16	c]//proceedings	c]//proceeding	NOUN
fcis-9941	189	17	of	of	ADP
fcis-9941	189	18	the	the	DET
fcis-9941	189	19	ieee	ieee	NOUN
fcis-9941	189	20	/	/	SYM
fcis-9941	189	21	cvf	cvf	NOUN
fcis-9941	189	22	international	international	ADJ
fcis-9941	189	23	conference	conference	NOUN
fcis-9941	189	24	on	on	ADP
fcis-9941	189	25	computer	computer	NOUN
fcis-9941	189	26	vision	vision	NOUN
fcis-9941	189	27	.	.	PUNCT
fcis-9941	190	1	2019	2019	NUM
fcis-9941	190	2	:	:	PUNCT
fcis-9941	190	3	2591	2591	NUM
fcis-9941	190	4	-	-	SYM
fcis-9941	190	5	2600	2600	NUM
fcis-9941	190	6	.	.	PUNCT
fcis-9941	191	1	[	[	X
fcis-9941	191	2	15	15	NUM
fcis-9941	191	3	]	]	X
fcis-9941	191	4	chen	chen	PROPN
fcis-9941	191	5	l	l	PROPN
fcis-9941	191	6	,	,	PUNCT
fcis-9941	191	7	zheng	zheng	PROPN
fcis-9941	191	8	y	y	PROPN
fcis-9941	191	9	,	,	PUNCT
fcis-9941	191	10	niu	niu	PROPN
fcis-9941	191	11	y	y	PROPN
fcis-9941	191	12	,	,	PUNCT
fcis-9941	191	13	et	et	PROPN
fcis-9941	191	14	al	al	PROPN
fcis-9941	191	15	.	.	PUNCT
fcis-9941	192	1	counterfactual	counterfactual	ADJ
fcis-9941	192	2	samples	sample	NOUN
fcis-9941	192	3	synthesizing	synthesize	VERB
fcis-9941	192	4	and	and	CCONJ
fcis-9941	192	5	training	training	NOUN
fcis-9941	192	6	for	for	ADP
fcis-9941	192	7	robust	robust	ADJ
fcis-9941	192	8	visual	visual	ADJ
fcis-9941	192	9	question	question	NOUN
fcis-9941	192	10	answering	answer	VERB
fcis-9941	192	11	[	[	X
fcis-9941	192	12	j].https	j].https	NOUN
fcis-9941	192	13	:	:	PUNCT
fcis-9941	192	14	//doi.org/10.48550	//doi.org/10.48550	SYM
fcis-9941	192	15	/	/	SYM
fcis-9941	192	16	arxiv.2110.01013,2021	arxiv.2110.01013,2021	VERB
fcis-9941	192	17	-	-	PUNCT
fcis-9941	192	18	10	10	NUM
fcis-9941	192	19	-	-	PUNCT
fcis-9941	192	20	03	03	NUM
fcis-9941	192	21	.	.	PUNCT
fcis-9941	193	1	[	[	X
fcis-9941	193	2	16	16	NUM
fcis-9941	193	3	]	]	X
fcis-9941	193	4	zhu	zhu	PROPN
fcis-9941	193	5	x	x	SYM
fcis-9941	193	6	,	,	PUNCT
fcis-9941	193	7	mao	mao	PROPN
fcis-9941	194	1	z	z	PROPN
fcis-9941	194	2	,	,	PUNCT
fcis-9941	194	3	liu	liu	PROPN
fcis-9941	194	4	c	c	PROPN
fcis-9941	194	5	,	,	PUNCT
fcis-9941	194	6	et	et	PROPN
fcis-9941	194	7	al	al	PROPN
fcis-9941	194	8	.	.	PUNCT
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fcis-9941	195	2	language	language	NOUN
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fcis-9941	195	6	-	-	PUNCT
fcis-9941	195	7	supervised	supervise	VERB
fcis-9941	195	8	learning	learning	NOUN
fcis-9941	195	9	for	for	ADP
fcis-9941	195	10	visual	visual	ADJ
fcis-9941	195	11	question	question	NOUN
fcis-9941	195	12	answering	answer	VERB
fcis-9941	195	13	[	[	X
fcis-9941	195	14	c]//	c]//	ADJ
fcis-9941	195	15	proceedings	proceeding	NOUN
fcis-9941	195	16	of	of	ADP
fcis-9941	195	17	the	the	DET
fcis-9941	195	18	twenty	twenty	NUM
fcis-9941	195	19	-	-	PUNCT
fcis-9941	195	20	ninth	ninth	ADJ
fcis-9941	195	21	international	international	ADJ
fcis-9941	195	22	conference	conference	NOUN
fcis-9941	195	23	on	on	ADP
fcis-9941	195	24	international	international	ADJ
fcis-9941	195	25	joint	joint	ADJ
fcis-9941	195	26	conferences	conference	NOUN
fcis-9941	195	27	on	on	ADP
fcis-9941	195	28	artificial	artificial	ADJ
fcis-9941	195	29	intelligence	intelligence	NOUN
fcis-9941	195	30	.	.	PUNCT
fcis-9941	196	1	2021	2021	NUM
fcis-9941	196	2	:	:	PUNCT
fcis-9941	196	3	1083	1083	NUM
fcis-9941	196	4	-	-	SYM
fcis-9941	196	5	1089	1089	NUM
fcis-9941	196	6	.	.	PUNCT
fcis-9941	197	1	[	[	X
fcis-9941	197	2	17	17	NUM
fcis-9941	197	3	]	]	X
fcis-9941	197	4	gokhale	gokhale	NOUN
fcis-9941	197	5	t	t	PROPN
fcis-9941	197	6	,	,	PUNCT
fcis-9941	197	7	banerjee	banerjee	PROPN
fcis-9941	197	8	p	p	NOUN
fcis-9941	197	9	,	,	PUNCT
fcis-9941	197	10	baral	baral	PROPN
fcis-9941	197	11	c	c	NOUN
fcis-9941	197	12	,	,	PUNCT
fcis-9941	197	13	et	et	PROPN
fcis-9941	197	14	al	al	PROPN
fcis-9941	197	15	.	.	PROPN
fcis-9941	197	16	mutant	mutant	NOUN
fcis-9941	197	17	:	:	PUNCT
fcis-9941	197	18	a	a	DET
fcis-9941	197	19	training	training	NOUN
fcis-9941	197	20	paradigm	paradigm	NOUN
fcis-9941	197	21	for	for	ADP
fcis-9941	197	22	out	out	ADV
fcis-9941	197	23	-	-	PUNCT
fcis-9941	197	24	of	of	ADP
fcis-9941	197	25	-	-	PUNCT
fcis-9941	197	26	distribution	distribution	NOUN
fcis-9941	197	27	generalization	generalization	NOUN
fcis-9941	197	28	in	in	ADP
fcis-9941	197	29	visual	visual	ADJ
fcis-9941	197	30	question	question	NOUN
fcis-9941	197	31	answering[c]//2020	answering[c]//2020	PUNCT
fcis-9941	197	32	conference	conference	NOUN
fcis-9941	197	33	on	on	ADP
fcis-9941	197	34	empirical	empirical	ADJ
fcis-9941	197	35	methods	method	NOUN
fcis-9941	197	36	in	in	ADP
fcis-9941	197	37	natural	natural	ADJ
fcis-9941	197	38	language	language	NOUN
fcis-9941	197	39	processing	processing	NOUN
fcis-9941	197	40	,	,	PUNCT
fcis-9941	197	41	emnlp	emnlp	ADP
fcis-9941	197	42	2020	2020	NUM
fcis-9941	197	43	.	.	PUNCT
fcis-9941	198	1	association	association	NOUN
fcis-9941	198	2	for	for	ADP
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fcis-9941	198	4	linguistics	linguistic	NOUN
fcis-9941	198	5	(	(	PUNCT
fcis-9941	198	6	acl	acl	PROPN
fcis-9941	198	7	)	)	PUNCT
fcis-9941	198	8	,	,	PUNCT
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fcis-9941	198	10	:	:	PUNCT
fcis-9941	198	11	878892	878892	NUM
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fcis-9941	199	3	]	]	X
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fcis-9941	199	5	r	r	PROPN
fcis-9941	199	6	k	k	PROPN
fcis-9941	199	7	,	,	PUNCT
fcis-9941	199	8	henderson	henderson	PROPN
fcis-9941	199	9	j.	j.	PROPN
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fcis-9941	199	12	effective	effective	ADJ
fcis-9941	199	13	techniques	technique	NOUN
fcis-9941	199	14	to	to	PART
fcis-9941	199	15	reduce	reduce	VERB
fcis-9941	199	16	biases	bias	NOUN
fcis-9941	199	17	.	.	PUNCT
fcis-9941	200	1	[	[	X
fcis-9941	200	2	j]https://	j]https://	NOUN
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fcis-9941	200	5	.	.	PUNCT
fcis-9941	200	6	48550/	48550/	NUM
fcis-9941	200	7	arxiv	arxiv	NOUN
fcis-9941	200	8	.	.	PUNCT
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fcis-9941	201	2	.	.	PUNCT
fcis-9941	202	1	06321	06321	NUM
fcis-9941	202	2	,	,	PUNCT
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fcis-9941	202	4	-	-	SYM
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fcis-9941	202	6	-	-	PUNCT
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fcis-9941	202	8	.	.	PUNCT
fcis-9941	203	1	[	[	X
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fcis-9941	203	3	]	]	X
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fcis-9941	203	5	t	t	PROPN
fcis-9941	203	6	y	y	PROPN
fcis-9941	203	7	,	,	PUNCT
fcis-9941	203	8	goyal	goyal	PROPN
fcis-9941	203	9	p	p	NOUN
fcis-9941	203	10	,	,	PUNCT
fcis-9941	203	11	girshick	girshick	ADJ
fcis-9941	203	12	r	r	NOUN
fcis-9941	203	13	,	,	PUNCT
fcis-9941	203	14	et	et	PROPN
fcis-9941	203	15	al	al	PROPN
fcis-9941	203	16	.	.	PROPN
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fcis-9941	203	18	loss	loss	NOUN
fcis-9941	203	19	for	for	ADP
fcis-9941	203	20	dense	dense	ADJ
fcis-9941	203	21	object	object	NOUN
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fcis-9941	203	23	of	of	ADP
fcis-9941	203	24	the	the	DET
fcis-9941	203	25	ieee	ieee	NOUN
fcis-9941	203	26	international	international	PROPN
fcis-9941	203	27	conference	conference	NOUN
fcis-9941	203	28	on	on	ADP
fcis-9941	203	29	computer	computer	NOUN
fcis-9941	203	30	vision	vision	NOUN
fcis-9941	203	31	.	.	PUNCT
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fcis-9941	204	2	:	:	PUNCT
fcis-9941	204	3	2980	2980	NUM
fcis-9941	204	4	-	-	SYM
fcis-9941	204	5	2988	2988	NUM
fcis-9941	204	6	.	.	PUNCT
fcis-9941	205	1	[	[	X
fcis-9941	205	2	20	20	NUM
fcis-9941	205	3	]	]	SYM
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fcis-9941	205	5	j	j	PROPN
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fcis-9941	205	8	r	r	PROPN
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fcis-9941	205	11	-	-	PUNCT
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fcis-9941	205	14	for	for	ADP
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fcis-9941	205	16	visual	visual	ADJ
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fcis-9941	205	21	33rd	33rd	ADJ
fcis-9941	205	22	international	international	ADJ
fcis-9941	205	23	conference	conference	NOUN
fcis-9941	205	24	on	on	ADP
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fcis-9941	205	29	.	.	PUNCT
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fcis-9941	206	2	:	:	PUNCT
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fcis-9941	206	4	-	-	SYM
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fcis-9941	207	3	]	]	X
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fcis-9941	210	5	.	.	PUNCT
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fcis-9941	211	7	-	-	PUNCT
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fcis-9941	212	2	22	22	NUM
fcis-9941	212	3	]	]	X
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fcis-9941	212	9	,	,	PUNCT
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fcis-9941	212	21	:	:	PUNCT
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fcis-9941	212	23	the	the	DET
fcis-9941	212	24	language	language	NOUN
fcis-9941	212	25	prior	prior	ADJ
fcis-9941	212	26	problem	problem	NOUN
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fcis-9941	212	29	class	class	NOUN
fcis-9941	212	30	-	-	PUNCT
fcis-9941	212	31	imbalance	imbalance	NOUN
fcis-9941	212	32	view[j	view[j	NOUN
fcis-9941	212	33	]	]	PUNCT
fcis-9941	212	34	.	.	PUNCT
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fcis-9941	213	8	,	,	PUNCT
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fcis-9941	213	10	:	:	SYM
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fcis-9941	213	12	-	-	SYM
fcis-9941	213	13	238	238	NUM
fcis-9941	213	14	.	.	PUNCT
fcis-9941	214	1	[	[	X
fcis-9941	214	2	23	23	NUM
fcis-9941	214	3	]	]	X
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fcis-9941	215	7	grounding	grounding	NOUN
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fcis-9941	215	10	vqa	vqa	NOUN
fcis-9941	215	11	[	[	X
fcis-9941	215	12	c]//proceedings	c]//proceeding	NOUN
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fcis-9941	215	17	meeting	meeting	NOUN
fcis-9941	215	18	of	of	ADP
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fcis-9941	215	20	association	association	NOUN
fcis-9941	215	21	for	for	ADP
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fcis-9941	215	23	linguistics	linguistic	NOUN
fcis-9941	215	24	.	.	PUNCT
fcis-9941	216	1	2020	2020	NUM
fcis-9941	216	2	:	:	PUNCT
fcis-9941	216	3	8172	8172	NUM
fcis-9941	216	4	-	-	SYM
fcis-9941	216	5	8181	8181	NUM
fcis-9941	216	6	.	.	PUNCT
fcis-9941	217	1	[	[	X
fcis-9941	217	2	24	24	NUM
fcis-9941	217	3	]	]	SYM
fcis-9941	217	4	yuan	yuan	PROPN
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fcis-9941	217	12	:	:	PUNCT
fcis-9941	217	13	a	a	DET
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fcis-9941	217	16	taxonomy[j	taxonomy[j	NOUN
fcis-9941	217	17	]	]	X
fcis-9941	217	18	.	.	PUNCT
fcis-9941	218	1	https://doi	https://doi	PROPN
fcis-9941	218	2	.	.	PUNCT
fcis-9941	219	1	org/	org/	PRON
fcis-9941	219	2	10	10	NUM
fcis-9941	219	3	.	.	PUNCT
fcis-9941	220	1	48550/	48550/	NUM
fcis-9941	220	2	arxiv	arxiv	NOUN
fcis-9941	220	3	.	.	PUNCT
fcis-9941	221	1	2111	2111	NUM
fcis-9941	221	2	.	.	PUNCT
fcis-9941	222	1	08531	08531	NUM
fcis-9941	222	2	,	,	PUNCT
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fcis-9941	222	4	-	-	SYM
fcis-9941	222	5	11	11	NUM
fcis-9941	222	6	-	-	SYM
fcis-9941	222	7	06	06	NUM
fcis-9941	222	8	.	.	PUNCT
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fcis-9941	223	2	25	25	NUM
fcis-9941	223	3	]	]	X
fcis-9941	223	4	wu	wu	PROPN
fcis-9941	223	5	j	j	PROPN
fcis-9941	223	6	,	,	PUNCT
fcis-9941	223	7	mooney	mooney	PROPN
fcis-9941	223	8	r.	r.	PROPN
fcis-9941	223	9	self	self	NOUN
fcis-9941	223	10	-	-	PUNCT
fcis-9941	223	11	critical	critical	ADJ
fcis-9941	223	12	reasoning	reasoning	NOUN
fcis-9941	223	13	for	for	ADP
fcis-9941	223	14	robust	robust	ADJ
fcis-9941	223	15	visual	visual	ADJ
fcis-9941	223	16	question	question	NOUN
fcis-9941	223	17	answering[j	answering[j	NOUN
fcis-9941	223	18	]	]	PUNCT
fcis-9941	223	19	.	.	PUNCT
fcis-9941	224	1	advances	advance	NOUN
fcis-9941	224	2	in	in	ADP
fcis-9941	224	3	neural	neural	ADJ
fcis-9941	224	4	information	information	NOUN
fcis-9941	224	5	processing	processing	NOUN
fcis-9941	224	6	systems	system	NOUN
fcis-9941	224	7	,	,	PUNCT
fcis-9941	224	8	2019	2019	NUM
fcis-9941	224	9	,	,	PUNCT
fcis-9941	224	10	32	32	NUM
fcis-9941	224	11	.	.	PUNCT
fcis-9941	225	1	[	[	X
fcis-9941	225	2	26	26	NUM
fcis-9941	225	3	]	]	X
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fcis-9941	225	6	,	,	PUNCT
fcis-9941	225	7	kafle	kafle	PROPN
fcis-9941	225	8	k	k	PROPN
fcis-9941	225	9	,	,	PUNCT
fcis-9941	225	10	kanan	kanan	PROPN
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fcis-9941	226	1	a	a	DET
fcis-9941	226	2	negative	negative	ADJ
fcis-9941	226	3	case	case	NOUN
fcis-9941	226	4	analysis	analysis	NOUN
fcis-9941	226	5	of	of	ADP
fcis-9941	226	6	visual	visual	ADJ
fcis-9941	226	7	grounding	grounding	NOUN
fcis-9941	226	8	methods	method	NOUN
fcis-9941	226	9	for	for	ADP
fcis-9941	226	10	vqa[c]//proceedings	vqa[c]//proceeding	NOUN
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fcis-9941	226	16	of	of	ADP
fcis-9941	226	17	the	the	DET
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fcis-9941	226	20	computational	computational	ADJ
fcis-9941	226	21	linguistics	linguistic	NOUN
fcis-9941	226	22	.	.	PUNCT
fcis-9941	227	1	2020	2020	NUM
fcis-9941	227	2	:	:	PUNCT
fcis-9941	227	3	8172	8172	NUM
fcis-9941	227	4	-	-	SYM
fcis-9941	227	5	8181	8181	NUM
fcis-9941	227	6	.	.	PUNCT
fcis-9941	228	1	[	[	X
fcis-9941	228	2	27	27	NUM
fcis-9941	228	3	]	]	X
fcis-9941	228	4	kv	kv	PROPN
fcis-9941	228	5	g	g	PROPN
fcis-9941	228	6	,	,	PUNCT
fcis-9941	228	7	mittal	mittal	ADJ
fcis-9941	228	8	a.	a.	NOUN
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fcis-9941	228	14	question	question	NOUN
fcis-9941	228	15	answering	answer	VERB
fcis-9941	228	16	with	with	ADP
fcis-9941	228	17	visually	visually	ADV
fcis-9941	228	18	-	-	PUNCT
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fcis-9941	228	20	question	question	NOUN
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fcis-9941	228	25	eccv	eccv	ADJ
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fcis-9941	228	27	:	:	PUNCT
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fcis-9941	228	31	,	,	PUNCT
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fcis-9941	228	33	,	,	PUNCT
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fcis-9941	228	35	,	,	PUNCT
fcis-9941	228	36	august	august	PROPN
fcis-9941	228	37	23–28	23–28	NUM
fcis-9941	228	38	,	,	PUNCT
fcis-9941	228	39	2020	2020	NUM
fcis-9941	228	40	,	,	PUNCT
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fcis-9941	228	42	,	,	PUNCT
fcis-9941	228	43	part	part	NOUN
fcis-9941	228	44	xiii	xiii	PROPN
fcis-9941	228	45	16	16	NUM
fcis-9941	228	46	.	.	PUNCT
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fcis-9941	229	4	,	,	PUNCT
fcis-9941	229	5	2020	2020	NUM
fcis-9941	229	6	:	:	PUNCT
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fcis-9941	229	8	-	-	SYM
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fcis-9941	229	10	.	.	PUNCT
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fcis-9941	230	2	28	28	NUM
fcis-9941	230	3	]	]	X
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fcis-9941	230	6	,	,	PUNCT
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fcis-9941	230	9	,	,	PUNCT
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fcis-9941	230	19	-	-	PUNCT
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fcis-9941	230	25	question	question	NOUN
fcis-9941	230	26	answering[j	answering[j	NOUN
fcis-9941	230	27	]	]	PUNCT
fcis-9941	230	28	.	.	PUNCT
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fcis-9941	231	9	,	,	PUNCT
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fcis-9941	231	11	,	,	PUNCT
fcis-9941	231	12	32(10	32(10	NUM
fcis-9941	231	13	):	):	PUNCT
fcis-9941	231	14	4362	4362	NUM
fcis-9941	231	15	-	-	SYM
fcis-9941	231	16	4373	4373	NUM
fcis-9941	231	17	.	.	PUNCT
fcis-9941	232	1	[	[	X
fcis-9941	232	2	29	29	NUM
fcis-9941	232	3	]	]	X
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fcis-9941	232	6	,	,	PUNCT
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fcis-9941	232	14	a	a	DET
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fcis-9941	232	20	function	function	NOUN
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fcis-9941	232	23	-	-	ADJ
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fcis-9941	232	28	[	[	X
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fcis-9941	232	37	on	on	ADP
fcis-9941	232	38	research	research	NOUN
fcis-9941	232	39	and	and	CCONJ
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fcis-9941	232	41	in	in	ADP
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fcis-9941	232	44	.	.	PUNCT
fcis-9941	233	1	2021	2021	NUM
fcis-9941	233	2	:	:	PUNCT
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fcis-9941	233	4	-	-	SYM
fcis-9941	233	5	1959	1959	NUM
fcis-9941	233	6	.	.	PUNCT
fcis-9941	234	1	[	[	X
fcis-9941	234	2	30	30	NUM
fcis-9941	234	3	]	]	PUNCT
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fcis-9941	234	14	live	live	ADJ
fcis-9941	234	15	data	datum	NOUN
fcis-9941	235	1	[	[	X
fcis-9941	235	2	c]//proceedings	c]//proceeding	NOUN
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fcis-9941	235	15	.	.	PUNCT
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fcis-9941	236	2	:	:	PUNCT
fcis-9941	236	3	1940	1940	NUM
fcis-9941	236	4	-	-	SYM
fcis-9941	236	5	1949	1949	NUM
fcis-9941	236	6	.	.	PUNCT
fcis-9941	237	1	[	[	X
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fcis-9941	237	3	]	]	X
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fcis-9941	237	9	,	,	PUNCT
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fcis-9941	238	6	-	-	PUNCT
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fcis-9941	238	13	]	]	PUNCT
fcis-9941	238	14	.	.	PUNCT
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fcis-9941	239	9	,	,	PUNCT
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fcis-9941	239	11	,	,	PUNCT
fcis-9941	239	12	44(2	44(2	NUM
fcis-9941	239	13	):	):	PUNCT
fcis-9941	239	14	697709	697709	NUM
fcis-9941	239	15	.	.	PUNCT
fcis-9941	240	1	[	[	X
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fcis-9941	240	3	]	]	X
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fcis-9941	240	9	,	,	PUNCT
fcis-9941	240	10	hu	hu	PROPN
fcis-9941	240	11	h	h	PROPN
fcis-9941	240	12	,	,	PUNCT
fcis-9941	240	13	et	et	PROPN
fcis-9941	240	14	al	al	PROPN
fcis-9941	240	15	.	.	PUNCT
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fcis-9941	241	2	to	to	PART
fcis-9941	241	3	contrast	contrast	VERB
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fcis-9941	241	6	samples	sample	NOUN
fcis-9941	241	7	for	for	ADP
fcis-9941	241	8	robust	robust	ADJ
fcis-9941	241	9	visual	visual	ADJ
fcis-9941	241	10	question	question	NOUN
fcis-9941	241	11	answering	answer	VERB
fcis-9941	241	12	[	[	X
fcis-9941	241	13	c]//proceedings	c]//proceeding	NOUN
fcis-9941	241	14	of	of	ADP
fcis-9941	241	15	the	the	DET
fcis-9941	241	16	2020	2020	NUM
fcis-9941	241	17	conference	conference	NOUN
fcis-9941	241	18	on	on	ADP
fcis-9941	241	19	empirical	empirical	ADJ
fcis-9941	241	20	methods	method	NOUN
fcis-9941	241	21	in	in	ADP
fcis-9941	241	22	natural	natural	ADJ
fcis-9941	241	23	language	language	NOUN
fcis-9941	241	24	processing	processing	NOUN
fcis-9941	241	25	(	(	PUNCT
fcis-9941	241	26	emnlp	emnlp	ADJ
fcis-9941	241	27	)	)	PUNCT
fcis-9941	241	28	.	.	PUNCT
fcis-9941	242	1	2020	2020	NUM
fcis-9941	242	2	:	:	PUNCT
fcis-9941	242	3	3285	3285	NUM
fcis-9941	242	4	-	-	SYM
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fcis-9941	242	6	.	.	PUNCT
fcis-9941	243	1	[	[	X
fcis-9941	243	2	33	33	NUM
fcis-9941	243	3	]	]	PUNCT
fcis-9941	243	4	teney	teney	NOUN
fcis-9941	243	5	d	d	NOUN
fcis-9941	243	6	,	,	PUNCT
fcis-9941	243	7	abbasnedjad	abbasnedjad	PROPN
fcis-9941	243	8	e	e	PROPN
fcis-9941	243	9	,	,	PUNCT
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fcis-9941	243	11	den	den	PROPN
fcis-9941	243	12	hengel	hengel	PROPN
fcis-9941	243	13	a.	a.	NOUN
fcis-9941	243	14	learning	learning	NOUN
fcis-9941	243	15	what	what	PRON
fcis-9941	243	16	makes	make	VERB
fcis-9941	243	17	a	a	DET
fcis-9941	243	18	difference	difference	NOUN
fcis-9941	243	19	from	from	ADP
fcis-9941	243	20	counterfactual	counterfactual	ADJ
fcis-9941	243	21	examples	example	NOUN
fcis-9941	243	22	and	and	CCONJ
fcis-9941	243	23	gradient	gradient	ADJ
fcis-9941	243	24	supervision[c]//computer	supervision[c]//computer	PROPN
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fcis-9941	243	26	–	–	PUNCT
fcis-9941	243	27	eccv	eccv	ADJ
fcis-9941	243	28	2020	2020	NUM
fcis-9941	243	29	:	:	PUNCT
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fcis-9941	243	31	european	european	ADJ
fcis-9941	243	32	conference	conference	PROPN
fcis-9941	243	33	,	,	PUNCT
fcis-9941	243	34	glasgow	glasgow	PROPN
fcis-9941	243	35	,	,	PUNCT
fcis-9941	243	36	uk	uk	PROPN
fcis-9941	243	37	,	,	PUNCT
fcis-9941	243	38	august	august	PROPN
fcis-9941	243	39	23–28	23–28	NUM
fcis-9941	243	40	,	,	PUNCT
fcis-9941	243	41	2020	2020	NUM
fcis-9941	243	42	,	,	PUNCT
fcis-9941	243	43	proceedings	proceeding	NOUN
fcis-9941	243	44	,	,	PUNCT
fcis-9941	243	45	part	part	NOUN
fcis-9941	243	46	x	x	SYM
fcis-9941	243	47	16	16	NUM
fcis-9941	243	48	.	.	PUNCT
fcis-9941	243	49	springer	springer	NOUN
fcis-9941	243	50	international	international	ADJ
fcis-9941	243	51	publishing	publishing	NOUN
fcis-9941	243	52	,	,	PUNCT
fcis-9941	243	53	2020	2020	NUM
fcis-9941	243	54	:	:	PUNCT
fcis-9941	244	1	580	580	NUM
fcis-9941	244	2	-	-	SYM
fcis-9941	244	3	599	599	NUM
fcis-9941	244	4	.	.	PUNCT
fcis-9941	245	1	[	[	X
fcis-9941	245	2	34	34	NUM
fcis-9941	245	3	]	]	X
fcis-9941	245	4	gokhale	gokhale	PROPN
fcis-9941	245	5	t	t	PROPN
fcis-9941	245	6	,	,	PUNCT
fcis-9941	245	7	banerjee	banerjee	PROPN
fcis-9941	245	8	p	p	NOUN
fcis-9941	245	9	,	,	PUNCT
fcis-9941	245	10	baral	baral	PROPN
fcis-9941	245	11	c	c	NOUN
fcis-9941	245	12	,	,	PUNCT
fcis-9941	245	13	et	et	PROPN
fcis-9941	245	14	al	al	PROPN
fcis-9941	245	15	.	.	PROPN
fcis-9941	245	16	mutant	mutant	NOUN
fcis-9941	245	17	:	:	PUNCT
fcis-9941	245	18	a	a	DET
fcis-9941	245	19	training	training	NOUN
fcis-9941	245	20	paradigm	paradigm	NOUN
fcis-9941	245	21	for	for	ADP
fcis-9941	245	22	out	out	ADV
fcis-9941	245	23	-	-	PUNCT
fcis-9941	245	24	of	of	ADP
fcis-9941	245	25	-	-	PUNCT
fcis-9941	245	26	distribution	distribution	NOUN
fcis-9941	245	27	generalization	generalization	NOUN
fcis-9941	245	28	in	in	ADP
fcis-9941	245	29	visual	visual	ADJ
fcis-9941	245	30	question	question	NOUN
fcis-9941	245	31	answering[j	answering[j	NOUN
fcis-9941	245	32	]	]	PUNCT
fcis-9941	245	33	.	.	PUNCT
fcis-9941	246	1	https://doi	https://doi	PROPN
fcis-9941	246	2	.	.	PUNCT
fcis-9941	247	1	org/10	org/10	PROPN
fcis-9941	247	2	.	.	PUNCT
fcis-9941	248	1	48550/	48550/	NUM
fcis-9941	248	2	arxiv	arxiv	NOUN
fcis-9941	248	3	.	.	PUNCT
fcis-9941	249	1	2009	2009	NUM
fcis-9941	249	2	.	.	PUNCT
fcis-9941	250	1	08566	08566	NUM
fcis-9941	250	2	,	,	PUNCT
fcis-9941	250	3	2020	2020	NUM
fcis-9941	250	4	-	-	SYM
fcis-9941	250	5	10	10	NUM
fcis-9941	250	6	-	-	SYM
fcis-9941	250	7	16	16	NUM
fcis-9941	250	8	.	.	PUNCT
fcis-9941	251	1	[	[	X
fcis-9941	251	2	35	35	NUM
fcis-9941	251	3	]	]	PUNCT
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fcis-9941	251	5	d	d	NOUN
fcis-9941	251	6	,	,	PUNCT
fcis-9941	251	7	abbasnejad	abbasnejad	PROPN
fcis-9941	251	8	e	e	PROPN
fcis-9941	251	9	,	,	PUNCT
fcis-9941	251	10	kafle	kafle	PROPN
fcis-9941	251	11	k	k	PROPN
fcis-9941	251	12	,	,	PUNCT
fcis-9941	251	13	et	et	PROPN
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fcis-9941	252	2	the	the	DET
fcis-9941	252	3	value	value	NOUN
fcis-9941	252	4	of	of	ADP
fcis-9941	252	5	out	out	ADJ
fcis-9941	252	6	-	-	PUNCT
fcis-9941	252	7	ofdistribution	ofdistribution	NOUN
fcis-9941	252	8	testing	testing	NOUN
fcis-9941	252	9	:	:	PUNCT
fcis-9941	252	10	an	an	DET
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fcis-9941	252	12	of	of	ADP
fcis-9941	252	13	goodhart	goodhart	NOUN
fcis-9941	252	14	's	's	PART
fcis-9941	252	15	law[j	law[j	PROPN
fcis-9941	252	16	]	]	X
fcis-9941	252	17	.	.	PUNCT
fcis-9941	253	1	advances	advance	NOUN
fcis-9941	253	2	in	in	ADP
fcis-9941	253	3	neural	neural	ADJ
fcis-9941	253	4	information	information	NOUN
fcis-9941	253	5	processing	processing	NOUN
fcis-9941	253	6	systems	system	NOUN
fcis-9941	253	7	,	,	PUNCT
fcis-9941	253	8	2020	2020	NUM
fcis-9941	253	9	,	,	PUNCT
fcis-9941	253	10	33	33	NUM
fcis-9941	253	11	:	:	SYM
fcis-9941	253	12	407	407	NUM
fcis-9941	253	13	-	-	SYM
fcis-9941	253	14	417	417	NUM
fcis-9941	253	15	.	.	PUNCT
fcis-9941	254	1	[	[	X
fcis-9941	254	2	36	36	NUM
fcis-9941	254	3	]	]	PUNCT
fcis-9941	254	4	teney	teney	NOUN
fcis-9941	254	5	d	d	NOUN
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fcis-9941	254	9	,	,	PUNCT
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fcis-9941	254	13	a.	a.	PROPN
fcis-9941	254	14	unshuffling	unshuffling	PROPN
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fcis-9941	254	18	generalization	generalization	NOUN
fcis-9941	254	19	in	in	ADP
fcis-9941	254	20	visual	visual	ADJ
fcis-9941	254	21	question	question	NOUN
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fcis-9941	254	23	[	[	X
fcis-9941	254	24	c]//	c]//	ADJ
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fcis-9941	254	28	ieee	ieee	NOUN
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fcis-9941	254	31	international	international	ADJ
fcis-9941	254	32	conference	conference	NOUN
fcis-9941	254	33	on	on	ADP
fcis-9941	254	34	computer	computer	NOUN
fcis-9941	254	35	vision	vision	NOUN
fcis-9941	254	36	.	.	PUNCT
fcis-9941	255	1	2021	2021	NUM
fcis-9941	255	2	:	:	PUNCT
fcis-9941	255	3	1417	1417	NUM
fcis-9941	255	4	-	-	SYM
fcis-9941	255	5	1427	1427	NUM
fcis-9941	255	6	.	.	PUNCT
fcis-9941	256	1	[	[	X
fcis-9941	256	2	37	37	NUM
fcis-9941	256	3	]	]	X
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fcis-9941	256	5	m	m	PROPN
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fcis-9941	257	5	focal	focal	ADJ
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fcis-9941	257	11	ieee	ieee	PROPN
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fcis-9941	257	13	conference	conference	NOUN
fcis-9941	257	14	on	on	ADP
fcis-9941	257	15	multimedia	multimedia	NOUN
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fcis-9941	257	18	(	(	PUNCT
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fcis-9941	257	20	)	)	PUNCT
fcis-9941	257	21	.	.	PUNCT
fcis-9941	258	1	ieee	ieee	NOUN
fcis-9941	258	2	,	,	PUNCT
fcis-9941	258	3	2021	2021	NUM
fcis-9941	258	4	:	:	PUNCT
fcis-9941	258	5	16	16	NUM
fcis-9941	258	6	.	.	PUNCT
fcis-9941	259	1	[	[	X
fcis-9941	259	2	38	38	NUM
fcis-9941	259	3	]	]	X
fcis-9941	259	4	guo	guo	PROPN
fcis-9941	259	5	y	y	PROPN
fcis-9941	259	6	,	,	PUNCT
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fcis-9941	259	9	,	,	PUNCT
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fcis-9941	259	13	et	et	PROPN
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fcis-9941	259	15	.	.	PUNCT
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fcis-9941	259	17	:	:	PUNCT
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fcis-9941	259	19	language	language	NOUN
fcis-9941	259	20	priors	prior	NOUN
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fcis-9941	259	26	]	]	PUNCT
fcis-9941	259	27	.	.	PUNCT
fcis-9941	260	1	https://	https://	PROPN
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fcis-9941	260	3	10	10	NUM
fcis-9941	260	4	.	.	PUNCT
fcis-9941	260	5	48550	48550	NUM
fcis-9941	260	6	/	/	SYM
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fcis-9941	260	8	-	-	PUNCT
fcis-9941	260	9	05	05	NUM
fcis-9941	260	10	-	-	PUNCT
fcis-9941	260	11	05	05	NUM
fcis-9941	260	12	.	.	PUNCT
fcis-9941	260	13	52	52	NUM
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fcis-9941	261	3	]	]	PUNCT
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fcis-9941	261	5	c	c	PROPN
fcis-9941	261	6	,	,	PUNCT
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fcis-9941	261	8	s	s	PROPN
fcis-9941	261	9	,	,	PUNCT
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fcis-9941	261	13	et	et	PROPN
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fcis-9941	262	10	question	question	NOUN
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fcis-9941	262	12	ieee	ieee	PROPN
fcis-9941	262	13	international	international	ADJ
fcis-9941	262	14	conference	conference	NOUN
fcis-9941	262	15	on	on	ADP
fcis-9941	262	16	multimedia	multimedia	NOUN
fcis-9941	262	17	and	and	CCONJ
fcis-9941	262	18	expo	expo	NOUN
fcis-9941	262	19	(	(	PUNCT
fcis-9941	262	20	icme	icme	PROPN
fcis-9941	262	21	)	)	PUNCT
fcis-9941	262	22	.	.	PUNCT
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fcis-9941	263	2	,	,	PUNCT
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fcis-9941	263	4	:	:	PUNCT
fcis-9941	263	5	1	1	NUM
fcis-9941	263	6	-	-	SYM
fcis-9941	263	7	6	6	NUM
fcis-9941	263	8	.	.	PUNCT
fcis-9941	264	1	[	[	X
fcis-9941	264	2	40	40	NUM
fcis-9941	264	3	]	]	X
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fcis-9941	264	5	n	n	PROPN
fcis-9941	264	6	,	,	PUNCT
fcis-9941	264	7	huang	huang	PROPN
fcis-9941	264	8	q	q	PROPN
fcis-9941	264	9	,	,	PUNCT
fcis-9941	264	10	li	li	PROPN
fcis-9941	264	11	p	p	PROPN
fcis-9941	264	12	,	,	PUNCT
fcis-9941	264	13	et	et	PROPN
fcis-9941	264	14	al	al	PROPN
fcis-9941	264	15	.	.	PUNCT
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fcis-9941	264	17	biased	biased	ADJ
fcis-9941	264	18	samples	sample	NOUN
fcis-9941	264	19	for	for	ADP
fcis-9941	264	20	robust	robust	ADJ
fcis-9941	264	21	vqa[j	vqa[j	NOUN
fcis-9941	264	22	]	]	PUNCT
fcis-9941	264	23	.	.	PUNCT
fcis-9941	265	1	ieee	ieee	NOUN
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fcis-9941	265	3	on	on	ADP
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fcis-9941	265	5	,	,	PUNCT
fcis-9941	265	6	2021	2021	NUM
fcis-9941	265	7	,	,	PUNCT
fcis-9941	265	8	24	24	NUM
fcis-9941	265	9	:	:	PUNCT
fcis-9941	265	10	3405	3405	NUM
fcis-9941	265	11	-	-	SYM
fcis-9941	265	12	3415	3415	NUM
fcis-9941	265	13	.	.	PUNCT
fcis-9941	266	1	[	[	X
fcis-9941	266	2	41	41	NUM
fcis-9941	266	3	]	]	X
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fcis-9941	266	5	p	p	NOUN
fcis-9941	266	6	,	,	PUNCT
fcis-9941	266	7	gokhale	gokhale	PROPN
fcis-9941	266	8	t	t	PROPN
fcis-9941	266	9	,	,	PUNCT
fcis-9941	266	10	yang	yang	PROPN
fcis-9941	266	11	y	y	PROPN
fcis-9941	266	12	,	,	PUNCT
fcis-9941	266	13	et	et	PROPN
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fcis-9941	266	20	via	via	ADP
fcis-9941	266	21	captions	caption	NOUN
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fcis-9941	266	23	visual	visual	ADJ
fcis-9941	266	24	question	question	NOUN
fcis-9941	266	25	answering[j	answering[j	NOUN
fcis-9941	266	26	]	]	PUNCT
fcis-9941	266	27	.	.	PUNCT
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fcis-9941	267	3	the	the	DET
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fcis-9941	267	6	computational	computational	ADJ
fcis-9941	267	7	linguistics	linguistic	NOUN
fcis-9941	267	8	:	:	PUNCT
fcis-9941	267	9	acl	acl	PROPN
fcis-9941	267	10	-	-	PUNCT
fcis-9941	267	11	ijcnlp	ijcnlp	NOUN
fcis-9941	267	12	2021	2021	NUM
fcis-9941	267	13	,	,	PUNCT
fcis-9941	267	14	2021	2021	NUM
fcis-9941	267	15	.	.	PUNCT
fcis-9941	268	1	[	[	X
fcis-9941	268	2	42	42	NUM
fcis-9941	268	3	]	]	X
fcis-9941	268	4	jiang	jiang	PROPN
fcis-9941	268	5	j	j	PROPN
fcis-9941	268	6	,	,	PUNCT
fcis-9941	268	7	liu	liu	PROPN
fcis-9941	268	8	z	z	PROPN
fcis-9941	268	9	,	,	PUNCT
fcis-9941	268	10	liu	liu	PROPN
fcis-9941	268	11	y	y	PROPN
fcis-9941	268	12	,	,	PUNCT
fcis-9941	268	13	et	et	PROPN
fcis-9941	268	14	al	al	PROPN
fcis-9941	268	15	.	.	PUNCT
fcis-9941	269	1	x	x	X
fcis-9941	269	2	-	-	PUNCT
fcis-9941	269	3	ggm	ggm	NOUN
fcis-9941	269	4	:	:	PUNCT
fcis-9941	269	5	graph	graph	NOUN
fcis-9941	269	6	generative	generative	ADJ
fcis-9941	269	7	modeling	modeling	NOUN
fcis-9941	269	8	for	for	ADP
fcis-9941	269	9	out	out	ADV
fcis-9941	269	10	-	-	PUNCT
fcis-9941	269	11	of	of	ADP
fcis-9941	269	12	-	-	PUNCT
fcis-9941	269	13	distribution	distribution	NOUN
fcis-9941	269	14	generalization	generalization	NOUN
fcis-9941	269	15	in	in	ADP
fcis-9941	269	16	visual	visual	ADJ
fcis-9941	269	17	question	question	NOUN
fcis-9941	269	18	answering[c]//proceedings	answering[c]//proceeding	NOUN
fcis-9941	269	19	of	of	ADP
fcis-9941	269	20	the	the	DET
fcis-9941	269	21	29th	29th	ADJ
fcis-9941	269	22	acm	acm	PROPN
fcis-9941	269	23	international	international	ADJ
fcis-9941	269	24	conference	conference	NOUN
fcis-9941	269	25	on	on	ADP
fcis-9941	269	26	multimedia	multimedia	NOUN
fcis-9941	269	27	.	.	PUNCT
fcis-9941	270	1	2021	2021	NUM
fcis-9941	270	2	:	:	PUNCT
fcis-9941	270	3	199	199	NUM
fcis-9941	270	4	-	-	SYM
fcis-9941	270	5	208	208	NUM
fcis-9941	270	6	.	.	PUNCT
fcis-9941	271	1	[	[	X
fcis-9941	271	2	43	43	NUM
fcis-9941	271	3	]	]	X
fcis-9941	271	4	d.	d.	PROPN
fcis-9941	271	5	yuan	yuan	PROPN
fcis-9941	271	6	,	,	PUNCT
fcis-9941	271	7	x.	x.	PROPN
fcis-9941	271	8	liu	liu	PROPN
fcis-9941	271	9	,	,	PUNCT
fcis-9941	271	10	q.	q.	PROPN
fcis-9941	271	11	wu	wu	PROPN
fcis-9941	271	12	,	,	PUNCT
fcis-9941	271	13	h.	h.	PROPN
fcis-9941	271	14	li	li	PROPN
fcis-9941	271	15	,	,	PUNCT
fcis-9941	271	16	f.	f.	PROPN
fcis-9941	271	17	meng	meng	PROPN
fcis-9941	271	18	,	,	PUNCT
fcis-9941	271	19	k.	k.	PROPN
fcis-9941	271	20	n.	n.	PROPN
fcis-9941	271	21	ngan	ngan	PROPN
fcis-9941	271	22	,	,	PUNCT
fcis-9941	271	23	and	and	CCONJ
fcis-9941	271	24	l.	l.	PROPN
fcis-9941	271	25	xu	xu	PROPN
fcis-9941	271	26	,	,	PUNCT
fcis-9941	271	27	“	"	PUNCT
fcis-9941	271	28	empower	empower	NOUN
fcis-9941	271	29	counterfactual	counterfactual	ADJ
fcis-9941	271	30	thinking	thinking	NOUN
fcis-9941	271	31	via	via	ADP
fcis-9941	271	32	contrastive	contrastive	ADJ
fcis-9941	271	33	learning	learning	NOUN
fcis-9941	271	34	for	for	ADP
fcis-9941	271	35	robust	robust	ADJ
fcis-9941	271	36	visual	visual	ADJ
fcis-9941	271	37	question	question	NOUN
fcis-9941	271	38	answering	answering	NOUN
fcis-9941	271	39	,	,	PUNCT
fcis-9941	271	40	”	"	PUNCT
fcis-9941	271	41	in	in	ADP
fcis-9941	271	42	proc	proc	NOUN
fcis-9941	271	43	.	.	PUNCT
fcis-9941	272	1	ieee	ieee	PROPN
fcis-9941	272	2	int	int	PROPN
fcis-9941	272	3	.	.	PUNCT
fcis-9941	273	1	conf	conf	PROPN
fcis-9941	273	2	.	.	PUNCT
fcis-9941	274	1	acoust	acoust	PROPN
fcis-9941	274	2	.	.	PUNCT
fcis-9941	274	3	,	,	PUNCT
fcis-9941	274	4	speech	speech	NOUN
fcis-9941	274	5	,	,	PUNCT
fcis-9941	274	6	signal	signal	NOUN
fcis-9941	274	7	process	process	NOUN
fcis-9941	274	8	.	.	PUNCT
fcis-9941	275	1	(	(	PUNCT
fcis-9941	275	2	icassp	icassp	PROPN
fcis-9941	275	3	)	)	PUNCT
fcis-9941	275	4	.	.	PUNCT
fcis-9941	276	1	ieee	ieee	NOUN
fcis-9941	276	2	,	,	PUNCT
fcis-9941	276	3	2022	2022	NUM
fcis-9941	276	4	,	,	PUNCT
fcis-9941	276	5	p.	p.	NOUN
fcis-9941	276	6	under	under	ADP
fcis-9941	276	7	review	review	NOUN
fcis-9941	276	8	.	.	PUNCT