id	sid	tid	token	lemma	pos
ajst-24872	1	1	academic	academic	ADJ
ajst-24872	1	2	journal	journal	NOUN
ajst-24872	1	3	of	of	ADP
ajst-24872	1	4	science	science	NOUN
ajst-24872	1	5	and	and	CCONJ
ajst-24872	1	6	technology	technology	NOUN
ajst-24872	1	7	issn	issn	NOUN
ajst-24872	1	8	:	:	PUNCT
ajst-24872	1	9	2771	2771	NUM
ajst-24872	1	10	-	-	SYM
ajst-24872	1	11	3032	3032	NUM
ajst-24872	1	12	|	|	NOUN
ajst-24872	1	13	vol	vol	NOUN
ajst-24872	1	14	.	.	PROPN
ajst-24872	2	1	12	12	NUM
ajst-24872	2	2	,	,	PUNCT
ajst-24872	2	3	no	no	INTJ
ajst-24872	2	4	.	.	NOUN
ajst-24872	2	5	1	1	NUM
ajst-24872	2	6	,	,	PUNCT
ajst-24872	2	7	2024	2024	NUM
ajst-24872	2	8	86	86	NUM
ajst-24872	2	9	empirical	empirical	ADJ
ajst-24872	2	10	study	study	NOUN
ajst-24872	2	11	and	and	CCONJ
ajst-24872	2	12	mitigation	mitigation	NOUN
ajst-24872	2	13	methods	method	NOUN
ajst-24872	2	14	of	of	ADP
ajst-24872	2	15	bias	bias	NOUN
ajst-24872	2	16	in	in	ADP
ajst-24872	2	17	llm‐	llm‐	PROPN
ajst-24872	2	18	based	base	VERB
ajst-24872	2	19	robots	robot	NOUN
ajst-24872	2	20	ren	ren	PROPN
ajst-24872	2	21	zhou	zhou	PROPN
ajst-24872	2	22	tsinghua	tsinghua	PROPN
ajst-24872	2	23	university	university	PROPN
ajst-24872	2	24	,	,	PUNCT
ajst-24872	2	25	beijing	beijing	PROPN
ajst-24872	2	26	,	,	PUNCT
ajst-24872	2	27	china	china	PROPN
ajst-24872	2	28	abstract	abstract	NOUN
ajst-24872	3	1	:	:	PUNCT
ajst-24872	3	2	our	our	PRON
ajst-24872	3	3	study	study	NOUN
ajst-24872	3	4	provides	provide	VERB
ajst-24872	3	5	a	a	DET
ajst-24872	3	6	comprehensive	comprehensive	ADJ
ajst-24872	3	7	analysis	analysis	NOUN
ajst-24872	3	8	of	of	ADP
ajst-24872	3	9	biased	biased	ADJ
ajst-24872	3	10	behaviors	behavior	NOUN
ajst-24872	3	11	exhibited	exhibit	VERB
ajst-24872	3	12	by	by	ADP
ajst-24872	3	13	robots	robot	NOUN
ajst-24872	3	14	utilizing	utilize	VERB
ajst-24872	3	15	large	large	ADJ
ajst-24872	3	16	language	language	NOUN
ajst-24872	3	17	models	model	NOUN
ajst-24872	3	18	(	(	PUNCT
ajst-24872	3	19	llms	llm	NOUN
ajst-24872	3	20	)	)	PUNCT
ajst-24872	3	21	in	in	ADP
ajst-24872	3	22	real	real	ADJ
ajst-24872	3	23	-	-	PUNCT
ajst-24872	3	24	world	world	NOUN
ajst-24872	3	25	applications	application	NOUN
ajst-24872	3	26	,	,	PUNCT
ajst-24872	3	27	focusing	focus	VERB
ajst-24872	3	28	on	on	ADP
ajst-24872	3	29	five	five	NUM
ajst-24872	3	30	experimental	experimental	ADJ
ajst-24872	3	31	scenarios	scenario	NOUN
ajst-24872	3	32	:	:	PUNCT
ajst-24872	3	33	customer	customer	NOUN
ajst-24872	3	34	service	service	NOUN
ajst-24872	3	35	,	,	PUNCT
ajst-24872	3	36	education	education	NOUN
ajst-24872	3	37	,	,	PUNCT
ajst-24872	3	38	healthcare	healthcare	PROPN
ajst-24872	3	39	,	,	PUNCT
ajst-24872	3	40	recruitment	recruitment	NOUN
ajst-24872	3	41	,	,	PUNCT
ajst-24872	3	42	and	and	CCONJ
ajst-24872	3	43	social	social	ADJ
ajst-24872	3	44	interaction	interaction	NOUN
ajst-24872	3	45	.	.	PUNCT
ajst-24872	4	1	the	the	DET
ajst-24872	4	2	analysis	analysis	NOUN
ajst-24872	4	3	reveals	reveal	VERB
ajst-24872	4	4	significant	significant	ADJ
ajst-24872	4	5	differences	difference	NOUN
ajst-24872	4	6	in	in	ADP
ajst-24872	4	7	user	user	NOUN
ajst-24872	4	8	experiences	experience	NOUN
ajst-24872	4	9	based	base	VERB
ajst-24872	4	10	on	on	ADP
ajst-24872	4	11	race	race	NOUN
ajst-24872	4	12	,	,	PUNCT
ajst-24872	4	13	health	health	NOUN
ajst-24872	4	14	status	status	NOUN
ajst-24872	4	15	,	,	PUNCT
ajst-24872	4	16	work	work	NOUN
ajst-24872	4	17	experience	experience	NOUN
ajst-24872	4	18	,	,	PUNCT
ajst-24872	4	19	and	and	CCONJ
ajst-24872	4	20	social	social	ADJ
ajst-24872	4	21	status	status	NOUN
ajst-24872	4	22	.	.	PUNCT
ajst-24872	5	1	for	for	ADP
ajst-24872	5	2	instance	instance	NOUN
ajst-24872	5	3	,	,	PUNCT
ajst-24872	5	4	the	the	DET
ajst-24872	5	5	average	average	ADJ
ajst-24872	5	6	satisfaction	satisfaction	NOUN
ajst-24872	5	7	score	score	NOUN
ajst-24872	5	8	for	for	ADP
ajst-24872	5	9	white	white	ADJ
ajst-24872	5	10	customers	customer	NOUN
ajst-24872	5	11	is	be	AUX
ajst-24872	5	12	4.2	4.2	NUM
ajst-24872	5	13	,	,	PUNCT
ajst-24872	5	14	compared	compare	VERB
ajst-24872	5	15	to	to	ADP
ajst-24872	5	16	3.5	3.5	NUM
ajst-24872	5	17	for	for	ADP
ajst-24872	5	18	black	black	ADJ
ajst-24872	5	19	customers	customer	NOUN
ajst-24872	5	20	,	,	PUNCT
ajst-24872	5	21	and	and	CCONJ
ajst-24872	5	22	the	the	DET
ajst-24872	5	23	response	response	NOUN
ajst-24872	5	24	accuracy	accuracy	NOUN
ajst-24872	5	25	for	for	ADP
ajst-24872	5	26	white	white	ADJ
ajst-24872	5	27	students	student	NOUN
ajst-24872	5	28	is	be	AUX
ajst-24872	5	29	92	92	NUM
ajst-24872	5	30	%	%	NOUN
ajst-24872	5	31	,	,	PUNCT
ajst-24872	5	32	versus	versus	ADP
ajst-24872	5	33	85	85	NUM
ajst-24872	5	34	%	%	NOUN
ajst-24872	5	35	for	for	ADP
ajst-24872	5	36	black	black	ADJ
ajst-24872	5	37	students	student	NOUN
ajst-24872	5	38	.	.	PUNCT
ajst-24872	6	1	to	to	PART
ajst-24872	6	2	address	address	VERB
ajst-24872	6	3	these	these	DET
ajst-24872	6	4	biases	bias	NOUN
ajst-24872	6	5	,	,	PUNCT
ajst-24872	6	6	we	we	PRON
ajst-24872	6	7	propose	propose	VERB
ajst-24872	6	8	several	several	ADJ
ajst-24872	6	9	mitigation	mitigation	NOUN
ajst-24872	6	10	methods	method	NOUN
ajst-24872	6	11	,	,	PUNCT
ajst-24872	6	12	including	include	VERB
ajst-24872	6	13	data	datum	NOUN
ajst-24872	6	14	resampling	resampling	NOUN
ajst-24872	6	15	,	,	PUNCT
ajst-24872	6	16	model	model	NOUN
ajst-24872	6	17	regularization	regularization	NOUN
ajst-24872	6	18	,	,	PUNCT
ajst-24872	6	19	post	post	ADJ
ajst-24872	6	20	-	-	ADJ
ajst-24872	6	21	processing	processing	ADJ
ajst-24872	6	22	techniques	technique	NOUN
ajst-24872	6	23	,	,	PUNCT
ajst-24872	6	24	diversity	diversity	NOUN
ajst-24872	6	25	assessment	assessment	NOUN
ajst-24872	6	26	,	,	PUNCT
ajst-24872	6	27	and	and	CCONJ
ajst-24872	6	28	user	user	NOUN
ajst-24872	6	29	feedback	feedback	NOUN
ajst-24872	6	30	mechanisms	mechanism	NOUN
ajst-24872	6	31	.	.	PUNCT
ajst-24872	7	1	these	these	DET
ajst-24872	7	2	methods	method	NOUN
ajst-24872	7	3	aim	aim	VERB
ajst-24872	7	4	to	to	PART
ajst-24872	7	5	enhance	enhance	VERB
ajst-24872	7	6	the	the	DET
ajst-24872	7	7	fairness	fairness	NOUN
ajst-24872	7	8	and	and	CCONJ
ajst-24872	7	9	inclusivity	inclusivity	NOUN
ajst-24872	7	10	of	of	ADP
ajst-24872	7	11	robotic	robotic	ADJ
ajst-24872	7	12	systems	system	NOUN
ajst-24872	7	13	,	,	PUNCT
ajst-24872	7	14	promoting	promote	VERB
ajst-24872	7	15	healthy	healthy	ADJ
ajst-24872	7	16	human	human	ADJ
ajst-24872	7	17	-	-	PUNCT
ajst-24872	7	18	robot	robot	NOUN
ajst-24872	7	19	interactions	interaction	NOUN
ajst-24872	7	20	.	.	PUNCT
ajst-24872	8	1	by	by	ADP
ajst-24872	8	2	combining	combine	VERB
ajst-24872	8	3	our	our	PRON
ajst-24872	8	4	quantitative	quantitative	ADJ
ajst-24872	8	5	data	data	NOUN
ajst-24872	8	6	analysis	analysis	NOUN
ajst-24872	8	7	with	with	ADP
ajst-24872	8	8	existing	exist	VERB
ajst-24872	8	9	research	research	NOUN
ajst-24872	8	10	,	,	PUNCT
ajst-24872	8	11	we	we	PRON
ajst-24872	8	12	affirm	affirm	VERB
ajst-24872	8	13	the	the	DET
ajst-24872	8	14	importance	importance	NOUN
ajst-24872	8	15	of	of	ADP
ajst-24872	8	16	bias	bias	NOUN
ajst-24872	8	17	detection	detection	NOUN
ajst-24872	8	18	and	and	CCONJ
ajst-24872	8	19	mitigation	mitigation	NOUN
ajst-24872	8	20	,	,	PUNCT
ajst-24872	8	21	and	and	CCONJ
ajst-24872	8	22	propose	propose	VERB
ajst-24872	8	23	various	various	ADJ
ajst-24872	8	24	improvement	improvement	NOUN
ajst-24872	8	25	strategies	strategy	NOUN
ajst-24872	8	26	.	.	PUNCT
ajst-24872	9	1	future	future	ADJ
ajst-24872	9	2	research	research	NOUN
ajst-24872	9	3	should	should	AUX
ajst-24872	9	4	further	far	ADV
ajst-24872	9	5	explore	explore	VERB
ajst-24872	9	6	data	datum	NOUN
ajst-24872	9	7	balancing	balance	VERB
ajst-24872	9	8	strategies	strategy	NOUN
ajst-24872	9	9	,	,	PUNCT
ajst-24872	9	10	fairness	fairness	NOUN
ajst-24872	9	11	-	-	PUNCT
ajst-24872	9	12	constrained	constrain	VERB
ajst-24872	9	13	models	model	NOUN
ajst-24872	9	14	,	,	PUNCT
ajst-24872	9	15	real	real	ADJ
ajst-24872	9	16	-	-	PUNCT
ajst-24872	9	17	time	time	NOUN
ajst-24872	9	18	monitoring	monitoring	NOUN
ajst-24872	9	19	and	and	CCONJ
ajst-24872	9	20	adjustment	adjustment	NOUN
ajst-24872	9	21	mechanisms	mechanism	NOUN
ajst-24872	9	22	,	,	PUNCT
ajst-24872	9	23	and	and	CCONJ
ajst-24872	9	24	cross	cross	ADJ
ajst-24872	9	25	-	-	ADJ
ajst-24872	9	26	domain	domain	ADJ
ajst-24872	9	27	studies	study	NOUN
ajst-24872	9	28	to	to	PART
ajst-24872	9	29	comprehensively	comprehensively	ADV
ajst-24872	9	30	evaluate	evaluate	VERB
ajst-24872	9	31	and	and	CCONJ
ajst-24872	9	32	improve	improve	VERB
ajst-24872	9	33	the	the	DET
ajst-24872	9	34	performance	performance	NOUN
ajst-24872	9	35	of	of	ADP
ajst-24872	9	36	llm	llm	NOUN
ajst-24872	9	37	-	-	PUNCT
ajst-24872	9	38	based	base	VERB
ajst-24872	9	39	robotic	robotic	ADJ
ajst-24872	9	40	systems	system	NOUN
ajst-24872	9	41	across	across	ADP
ajst-24872	9	42	various	various	ADJ
ajst-24872	9	43	tasks	task	NOUN
ajst-24872	9	44	.	.	PUNCT
ajst-24872	10	1	keywords	keyword	NOUN
ajst-24872	10	2	:	:	PUNCT
ajst-24872	10	3	large	large	ADJ
ajst-24872	10	4	language	language	NOUN
ajst-24872	10	5	models	model	NOUN
ajst-24872	10	6	(	(	PUNCT
ajst-24872	10	7	llms	llm	NOUN
ajst-24872	10	8	)	)	PUNCT
ajst-24872	10	9	;	;	PUNCT
ajst-24872	10	10	bias	bias	NOUN
ajst-24872	10	11	detection	detection	NOUN
ajst-24872	10	12	;	;	PUNCT
ajst-24872	10	13	bias	bias	NOUN
ajst-24872	10	14	mitigation	mitigation	NOUN
ajst-24872	10	15	;	;	PUNCT
ajst-24872	10	16	customer	customer	NOUN
ajst-24872	10	17	service	service	NOUN
ajst-24872	10	18	robots	robot	NOUN
ajst-24872	10	19	;	;	PUNCT
ajst-24872	10	20	education	education	NOUN
ajst-24872	10	21	robots	robot	NOUN
ajst-24872	10	22	;	;	PUNCT
ajst-24872	10	23	healthcare	healthcare	NOUN
ajst-24872	10	24	robots	robot	NOUN
ajst-24872	10	25	;	;	PUNCT
ajst-24872	10	26	recruitment	recruitment	NOUN
ajst-24872	10	27	robots	robot	NOUN
ajst-24872	10	28	;	;	PUNCT
ajst-24872	10	29	social	social	ADJ
ajst-24872	10	30	robots	robot	NOUN
ajst-24872	10	31	;	;	PUNCT
ajst-24872	10	32	human	human	ADJ
ajst-24872	10	33	-	-	PUNCT
ajst-24872	10	34	robot	robot	NOUN
ajst-24872	10	35	interaction	interaction	NOUN
ajst-24872	10	36	;	;	PUNCT
ajst-24872	10	37	fairness	fairness	NOUN
ajst-24872	10	38	;	;	PUNCT
ajst-24872	10	39	inclusivity	inclusivity	NOUN
ajst-24872	10	40	.	.	PUNCT
ajst-24872	11	1	1	1	X
ajst-24872	11	2	.	.	X
ajst-24872	11	3	introduction	introduction	NOUN
ajst-24872	11	4	in	in	ADP
ajst-24872	11	5	recent	recent	ADJ
ajst-24872	11	6	years	year	NOUN
ajst-24872	11	7	,	,	PUNCT
ajst-24872	11	8	the	the	DET
ajst-24872	11	9	rapid	rapid	ADJ
ajst-24872	11	10	advancement	advancement	NOUN
ajst-24872	11	11	of	of	ADP
ajst-24872	11	12	artificial	artificial	ADJ
ajst-24872	11	13	intelligence	intelligence	NOUN
ajst-24872	11	14	technology	technology	NOUN
ajst-24872	11	15	has	have	AUX
ajst-24872	11	16	led	lead	VERB
ajst-24872	11	17	to	to	ADP
ajst-24872	11	18	the	the	DET
ajst-24872	11	19	widespread	widespread	ADJ
ajst-24872	11	20	application	application	NOUN
ajst-24872	11	21	of	of	ADP
ajst-24872	11	22	large	large	ADJ
ajst-24872	11	23	language	language	NOUN
ajst-24872	11	24	models	model	NOUN
ajst-24872	11	25	(	(	PUNCT
ajst-24872	11	26	llms	llm	NOUN
ajst-24872	11	27	)	)	PUNCT
ajst-24872	11	28	in	in	ADP
ajst-24872	11	29	various	various	ADJ
ajst-24872	11	30	fields	field	NOUN
ajst-24872	11	31	,	,	PUNCT
ajst-24872	11	32	particularly	particularly	ADV
ajst-24872	11	33	in	in	ADP
ajst-24872	11	34	robotics	robotic	NOUN
ajst-24872	11	35	.	.	PUNCT
ajst-24872	12	1	however	however	ADV
ajst-24872	12	2	,	,	PUNCT
ajst-24872	12	3	researchers	researcher	NOUN
ajst-24872	12	4	have	have	AUX
ajst-24872	12	5	found	find	VERB
ajst-24872	12	6	that	that	SCONJ
ajst-24872	12	7	these	these	DET
ajst-24872	12	8	models	model	NOUN
ajst-24872	12	9	may	may	AUX
ajst-24872	12	10	introduce	introduce	VERB
ajst-24872	12	11	or	or	CCONJ
ajst-24872	12	12	amplify	amplify	VERB
ajst-24872	12	13	biases	bias	NOUN
ajst-24872	12	14	during	during	ADP
ajst-24872	12	15	data	data	NOUN
ajst-24872	12	16	training	training	NOUN
ajst-24872	12	17	and	and	CCONJ
ajst-24872	12	18	application	application	NOUN
ajst-24872	12	19	,	,	PUNCT
ajst-24872	12	20	leading	lead	VERB
ajst-24872	12	21	to	to	ADP
ajst-24872	12	22	discriminatory	discriminatory	ADJ
ajst-24872	12	23	behaviors	behavior	NOUN
ajst-24872	12	24	that	that	PRON
ajst-24872	12	25	profoundly	profoundly	ADV
ajst-24872	12	26	affect	affect	VERB
ajst-24872	12	27	the	the	DET
ajst-24872	12	28	fairness	fairness	NOUN
ajst-24872	12	29	and	and	CCONJ
ajst-24872	12	30	effectiveness	effectiveness	NOUN
ajst-24872	12	31	of	of	ADP
ajst-24872	12	32	human	human	ADJ
ajst-24872	12	33	-	-	PUNCT
ajst-24872	12	34	robot	robot	NOUN
ajst-24872	12	35	interaction	interaction	NOUN
ajst-24872	12	36	(	(	PUNCT
ajst-24872	12	37	hri	hri	PROPN
ajst-24872	12	38	)	)	PUNCT
ajst-24872	12	39	.	.	PUNCT
ajst-24872	13	1	an	an	PRON
ajst-24872	13	2	and	and	CCONJ
ajst-24872	13	3	lin	lin	PROPN
ajst-24872	13	4	(	(	PUNCT
ajst-24872	13	5	2024	2024	NUM
ajst-24872	13	6	)	)	PUNCT
ajst-24872	13	7	highlighted	highlight	VERB
ajst-24872	13	8	that	that	SCONJ
ajst-24872	13	9	llms	llm	NOUN
ajst-24872	13	10	are	be	AUX
ajst-24872	13	11	prone	prone	ADJ
ajst-24872	13	12	to	to	ADP
ajst-24872	13	13	gender	gender	NOUN
ajst-24872	13	14	and	and	CCONJ
ajst-24872	13	15	racial	racial	ADJ
ajst-24872	13	16	biases	bias	NOUN
ajst-24872	13	17	in	in	ADP
ajst-24872	13	18	natural	natural	ADJ
ajst-24872	13	19	language	language	NOUN
ajst-24872	13	20	processing	processing	NOUN
ajst-24872	13	21	tasks	task	NOUN
ajst-24872	13	22	.	.	PUNCT
ajst-24872	14	1	caliskan	caliskan	PROPN
ajst-24872	14	2	et	et	PROPN
ajst-24872	14	3	al	al	PROPN
ajst-24872	14	4	.	.	PROPN
ajst-24872	15	1	(	(	PUNCT
ajst-24872	15	2	2022	2022	NUM
ajst-24872	15	3	)	)	PUNCT
ajst-24872	15	4	discovered	discover	VERB
ajst-24872	15	5	pervasive	pervasive	ADJ
ajst-24872	15	6	gender	gender	NOUN
ajst-24872	15	7	biases	bias	NOUN
ajst-24872	15	8	in	in	ADP
ajst-24872	15	9	word	word	NOUN
ajst-24872	15	10	vector	vector	NOUN
ajst-24872	15	11	models	model	NOUN
ajst-24872	15	12	and	and	CCONJ
ajst-24872	15	13	proposed	propose	VERB
ajst-24872	15	14	initial	initial	ADJ
ajst-24872	15	15	mitigation	mitigation	NOUN
ajst-24872	15	16	methods	method	NOUN
ajst-24872	15	17	.	.	PUNCT
ajst-24872	16	1	haber	haber	PROPN
ajst-24872	16	2	(	(	PUNCT
ajst-24872	16	3	2021	2021	NUM
ajst-24872	16	4	)	)	PUNCT
ajst-24872	16	5	and	and	CCONJ
ajst-24872	16	6	yang	yang	PROPN
ajst-24872	16	7	et	et	PROPN
ajst-24872	16	8	al	al	PROPN
ajst-24872	16	9	.	.	PROPN
ajst-24872	16	10	(	(	PUNCT
ajst-24872	16	11	2022	2022	NUM
ajst-24872	16	12	)	)	PUNCT
ajst-24872	16	13	revealed	reveal	VERB
ajst-24872	16	14	racial	racial	ADJ
ajst-24872	16	15	and	and	CCONJ
ajst-24872	16	16	gender	gender	NOUN
ajst-24872	16	17	bias	bias	NOUN
ajst-24872	16	18	issues	issue	NOUN
ajst-24872	16	19	in	in	ADP
ajst-24872	16	20	facial	facial	ADJ
ajst-24872	16	21	recognition	recognition	NOUN
ajst-24872	16	22	technology	technology	NOUN
ajst-24872	16	23	,	,	PUNCT
ajst-24872	16	24	which	which	PRON
ajst-24872	16	25	attracted	attract	VERB
ajst-24872	16	26	widespread	widespread	ADJ
ajst-24872	16	27	attention	attention	NOUN
ajst-24872	16	28	.	.	PUNCT
ajst-24872	17	1	gallegos	gallegos	PROPN
ajst-24872	17	2	and	and	CCONJ
ajst-24872	17	3	yang	yang	PROPN
ajst-24872	17	4	(	(	PUNCT
ajst-24872	17	5	2024	2024	NUM
ajst-24872	17	6	)	)	PUNCT
ajst-24872	17	7	demonstrated	demonstrate	VERB
ajst-24872	17	8	that	that	SCONJ
ajst-24872	17	9	machine	machine	NOUN
ajst-24872	17	10	learning	learning	NOUN
ajst-24872	17	11	models	model	NOUN
ajst-24872	17	12	could	could	AUX
ajst-24872	17	13	inherit	inherit	VERB
ajst-24872	17	14	and	and	CCONJ
ajst-24872	17	15	amplify	amplify	VERB
ajst-24872	17	16	implicit	implicit	ADJ
ajst-24872	17	17	biases	bias	NOUN
ajst-24872	17	18	from	from	ADP
ajst-24872	17	19	training	train	VERB
ajst-24872	17	20	data	datum	NOUN
ajst-24872	17	21	in	in	ADP
ajst-24872	17	22	language	language	NOUN
ajst-24872	17	23	understanding	understanding	NOUN
ajst-24872	17	24	tasks	task	NOUN
ajst-24872	17	25	.	.	PUNCT
ajst-24872	18	1	acconito	acconito	PROPN
ajst-24872	18	2	et	et	PROPN
ajst-24872	18	3	al	al	PROPN
ajst-24872	18	4	.	.	PROPN
ajst-24872	19	1	(	(	PUNCT
ajst-24872	19	2	2024	2024	NUM
ajst-24872	19	3	)	)	PUNCT
ajst-24872	19	4	explored	explore	VERB
ajst-24872	19	5	gender	gender	NOUN
ajst-24872	19	6	bias	bias	NOUN
ajst-24872	19	7	in	in	ADP
ajst-24872	19	8	visual	visual	ADJ
ajst-24872	19	9	tasks	task	NOUN
ajst-24872	19	10	and	and	CCONJ
ajst-24872	19	11	its	its	PRON
ajst-24872	19	12	impact	impact	NOUN
ajst-24872	19	13	on	on	ADP
ajst-24872	19	14	decision	decision	NOUN
ajst-24872	19	15	-	-	PUNCT
ajst-24872	19	16	making	make	VERB
ajst-24872	19	17	systems	system	NOUN
ajst-24872	19	18	.	.	PUNCT
ajst-24872	20	1	shah	shah	PROPN
ajst-24872	20	2	and	and	CCONJ
ajst-24872	20	3	wang	wang	PROPN
ajst-24872	20	4	(	(	PUNCT
ajst-24872	20	5	2024	2024	NUM
ajst-24872	20	6	)	)	PUNCT
ajst-24872	20	7	reviewed	review	VERB
ajst-24872	20	8	bias	bias	NOUN
ajst-24872	20	9	detection	detection	NOUN
ajst-24872	20	10	methods	method	NOUN
ajst-24872	20	11	and	and	CCONJ
ajst-24872	20	12	mitigation	mitigation	NOUN
ajst-24872	20	13	strategies	strategy	NOUN
ajst-24872	20	14	in	in	ADP
ajst-24872	20	15	machine	machine	NOUN
ajst-24872	20	16	learning	learning	NOUN
ajst-24872	20	17	,	,	PUNCT
ajst-24872	20	18	highlighting	highlight	VERB
ajst-24872	20	19	the	the	DET
ajst-24872	20	20	limitations	limitation	NOUN
ajst-24872	20	21	of	of	ADP
ajst-24872	20	22	existing	exist	VERB
ajst-24872	20	23	methods	method	NOUN
ajst-24872	20	24	and	and	CCONJ
ajst-24872	20	25	future	future	ADJ
ajst-24872	20	26	research	research	NOUN
ajst-24872	20	27	directions	direction	NOUN
ajst-24872	20	28	.	.	PUNCT
ajst-24872	21	1	additionally	additionally	ADV
ajst-24872	21	2	,	,	PUNCT
ajst-24872	21	3	abdullah	abdullah	PROPN
ajst-24872	21	4	et	et	PROPN
ajst-24872	21	5	al	al	PROPN
ajst-24872	21	6	.	.	PROPN
ajst-24872	21	7	(	(	PUNCT
ajst-24872	21	8	2019	2019	NUM
ajst-24872	21	9	)	)	PUNCT
ajst-24872	21	10	and	and	CCONJ
ajst-24872	21	11	wang	wang	PROPN
ajst-24872	21	12	et	et	PROPN
ajst-24872	21	13	al	al	PROPN
ajst-24872	21	14	.	.	PROPN
ajst-24872	22	1	(	(	PUNCT
ajst-24872	22	2	2012	2012	NUM
ajst-24872	22	3	)	)	PUNCT
ajst-24872	22	4	showed	show	VERB
ajst-24872	22	5	that	that	DET
ajst-24872	22	6	bias	bias	NOUN
ajst-24872	22	7	problems	problem	NOUN
ajst-24872	22	8	in	in	ADP
ajst-24872	22	9	sentiment	sentiment	NOUN
ajst-24872	22	10	analysis	analysis	NOUN
ajst-24872	22	11	tasks	task	NOUN
ajst-24872	22	12	are	be	AUX
ajst-24872	22	13	also	also	ADV
ajst-24872	22	14	widespread	widespread	ADJ
ajst-24872	22	15	and	and	CCONJ
ajst-24872	22	16	suggested	suggest	VERB
ajst-24872	22	17	several	several	ADJ
ajst-24872	22	18	improvement	improvement	NOUN
ajst-24872	22	19	methods	method	NOUN
ajst-24872	22	20	.	.	PUNCT
ajst-24872	23	1	zhang	zhang	PROPN
ajst-24872	23	2	and	and	CCONJ
ajst-24872	23	3	shi	shi	PROPN
ajst-24872	23	4	(	(	PUNCT
ajst-24872	23	5	2024	2024	NUM
ajst-24872	23	6	)	)	PUNCT
ajst-24872	23	7	studied	study	VERB
ajst-24872	23	8	gender	gender	NOUN
ajst-24872	23	9	bias	bias	NOUN
ajst-24872	23	10	in	in	ADP
ajst-24872	23	11	image	image	NOUN
ajst-24872	23	12	description	description	NOUN
ajst-24872	23	13	generation	generation	NOUN
ajst-24872	23	14	tasks	task	NOUN
ajst-24872	23	15	and	and	CCONJ
ajst-24872	23	16	proposed	propose	VERB
ajst-24872	23	17	techniques	technique	NOUN
ajst-24872	23	18	to	to	PART
ajst-24872	23	19	reduce	reduce	VERB
ajst-24872	23	20	bias	bias	NOUN
ajst-24872	23	21	.	.	PUNCT
ajst-24872	24	1	schwartz	schwartz	PROPN
ajst-24872	24	2	and	and	CCONJ
ajst-24872	24	3	yao	yao	PROPN
ajst-24872	24	4	(	(	PUNCT
ajst-24872	24	5	2022	2022	NUM
ajst-24872	24	6	)	)	PUNCT
ajst-24872	24	7	revealed	reveal	VERB
ajst-24872	24	8	bias	bias	NOUN
ajst-24872	24	9	issues	issue	NOUN
ajst-24872	24	10	in	in	ADP
ajst-24872	24	11	ai	ai	PROPN
ajst-24872	24	12	system	system	NOUN
ajst-24872	24	13	development	development	NOUN
ajst-24872	24	14	processes	process	NOUN
ajst-24872	24	15	through	through	ADP
ajst-24872	24	16	empirical	empirical	ADJ
ajst-24872	24	17	research	research	NOUN
ajst-24872	24	18	and	and	CCONJ
ajst-24872	24	19	suggested	suggest	VERB
ajst-24872	24	20	corresponding	corresponding	ADJ
ajst-24872	24	21	management	management	NOUN
ajst-24872	24	22	measures	measure	NOUN
ajst-24872	24	23	.	.	PUNCT
ajst-24872	25	1	pena	pena	PROPN
ajst-24872	25	2	et	et	PROPN
ajst-24872	25	3	al	al	PROPN
ajst-24872	25	4	.	.	PROPN
ajst-24872	25	5	(	(	PUNCT
ajst-24872	25	6	2020	2020	NUM
ajst-24872	25	7	)	)	PUNCT
ajst-24872	25	8	studied	study	VERB
ajst-24872	25	9	gender	gender	NOUN
ajst-24872	25	10	bias	bias	NOUN
ajst-24872	25	11	in	in	ADP
ajst-24872	25	12	automatic	automatic	ADJ
ajst-24872	25	13	recruitment	recruitment	NOUN
ajst-24872	25	14	systems	system	NOUN
ajst-24872	25	15	.	.	PUNCT
ajst-24872	26	1	limantė	limantė	NOUN
ajst-24872	26	2	and	and	CCONJ
ajst-24872	26	3	sun	sun	NOUN
ajst-24872	26	4	(	(	PUNCT
ajst-24872	26	5	2024	2024	NUM
ajst-24872	26	6	)	)	PUNCT
ajst-24872	26	7	proposed	propose	VERB
ajst-24872	26	8	a	a	DET
ajst-24872	26	9	systematic	systematic	ADJ
ajst-24872	26	10	framework	framework	NOUN
ajst-24872	26	11	to	to	PART
ajst-24872	26	12	reduce	reduce	VERB
ajst-24872	26	13	bias	bias	NOUN
ajst-24872	26	14	in	in	ADP
ajst-24872	26	15	facial	facial	ADJ
ajst-24872	26	16	recognition	recognition	NOUN
ajst-24872	26	17	technology	technology	NOUN
ajst-24872	26	18	.	.	PUNCT
ajst-24872	27	1	thach	thach	PROPN
ajst-24872	27	2	and	and	CCONJ
ajst-24872	27	3	zhong	zhong	PROPN
ajst-24872	27	4	(	(	PUNCT
ajst-24872	27	5	2024	2024	NUM
ajst-24872	27	6	)	)	PUNCT
ajst-24872	27	7	analyzed	analyze	VERB
ajst-24872	27	8	bias	bias	NOUN
ajst-24872	27	9	in	in	ADP
ajst-24872	27	10	social	social	ADJ
ajst-24872	27	11	media	medium	NOUN
ajst-24872	27	12	content	content	NOUN
ajst-24872	27	13	moderation	moderation	NOUN
ajst-24872	27	14	systems	system	NOUN
ajst-24872	27	15	and	and	CCONJ
ajst-24872	27	16	suggested	suggest	VERB
ajst-24872	27	17	improvement	improvement	NOUN
ajst-24872	27	18	recommendations	recommendation	NOUN
ajst-24872	27	19	.	.	PUNCT
ajst-24872	28	1	gebru	gebru	VERB
ajst-24872	28	2	et	et	PROPN
ajst-24872	28	3	al	al	PROPN
ajst-24872	28	4	.	.	PROPN
ajst-24872	29	1	(	(	PUNCT
ajst-24872	29	2	2020	2020	NUM
ajst-24872	29	3	)	)	PUNCT
ajst-24872	29	4	researched	research	VERB
ajst-24872	29	5	gender	gender	NOUN
ajst-24872	29	6	and	and	CCONJ
ajst-24872	29	7	racial	racial	ADJ
ajst-24872	29	8	bias	bias	NOUN
ajst-24872	29	9	in	in	ADP
ajst-24872	29	10	medical	medical	ADJ
ajst-24872	29	11	ai	ai	PROPN
ajst-24872	29	12	systems	system	NOUN
ajst-24872	29	13	.	.	PUNCT
ajst-24872	30	1	in	in	ADP
ajst-24872	30	2	robotics	robotic	NOUN
ajst-24872	30	3	,	,	PUNCT
ajst-24872	30	4	seo	seo	NOUN
ajst-24872	30	5	et	et	PROPN
ajst-24872	30	6	al	al	PROPN
ajst-24872	30	7	.	.	PROPN
ajst-24872	31	1	(	(	PUNCT
ajst-24872	31	2	2022	2022	NUM
ajst-24872	31	3	)	)	PUNCT
ajst-24872	31	4	and	and	CCONJ
ajst-24872	31	5	an	an	DET
ajst-24872	31	6	et	et	NOUN
ajst-24872	31	7	al	al	PROPN
ajst-24872	31	8	.	.	PROPN
ajst-24872	32	1	(	(	PUNCT
ajst-24872	32	2	2024	2024	NUM
ajst-24872	32	3	)	)	PUNCT
ajst-24872	32	4	explored	explore	VERB
ajst-24872	32	5	gender	gender	NOUN
ajst-24872	32	6	bias	bias	NOUN
ajst-24872	32	7	in	in	ADP
ajst-24872	32	8	home	home	NOUN
ajst-24872	32	9	service	service	NOUN
ajst-24872	32	10	robots	robot	NOUN
ajst-24872	32	11	.	.	PUNCT
ajst-24872	33	1	kriebitz	kriebitz	PROPN
ajst-24872	33	2	et	et	PROPN
ajst-24872	33	3	al	al	PROPN
ajst-24872	33	4	.	.	PROPN
ajst-24872	34	1	(	(	PUNCT
ajst-24872	34	2	2022	2022	NUM
ajst-24872	34	3	)	)	PUNCT
ajst-24872	34	4	and	and	CCONJ
ajst-24872	34	5	shih	shih	PROPN
ajst-24872	34	6	et	et	PROPN
ajst-24872	34	7	al	al	PROPN
ajst-24872	34	8	.	.	PROPN
ajst-24872	35	1	(	(	PUNCT
ajst-24872	35	2	2024	2024	NUM
ajst-24872	35	3	)	)	PUNCT
ajst-24872	35	4	studied	study	VERB
ajst-24872	35	5	ethical	ethical	ADJ
ajst-24872	35	6	biases	bias	NOUN
ajst-24872	35	7	in	in	ADP
ajst-24872	35	8	autonomous	autonomous	ADJ
ajst-24872	35	9	driving	driving	NOUN
ajst-24872	35	10	systems	system	NOUN
ajst-24872	35	11	.	.	PUNCT
ajst-24872	36	1	these	these	DET
ajst-24872	36	2	studies	study	NOUN
ajst-24872	36	3	reveal	reveal	VERB
ajst-24872	36	4	the	the	DET
ajst-24872	36	5	pervasiveness	pervasiveness	NOUN
ajst-24872	36	6	and	and	CCONJ
ajst-24872	36	7	complexity	complexity	NOUN
ajst-24872	36	8	of	of	ADP
ajst-24872	36	9	bias	bias	NOUN
ajst-24872	36	10	issues	issue	NOUN
ajst-24872	36	11	in	in	ADP
ajst-24872	36	12	different	different	ADJ
ajst-24872	36	13	application	application	NOUN
ajst-24872	36	14	scenarios	scenario	NOUN
ajst-24872	36	15	.	.	PUNCT
ajst-24872	37	1	despite	despite	SCONJ
ajst-24872	37	2	the	the	DET
ajst-24872	37	3	extensive	extensive	ADJ
ajst-24872	37	4	discussion	discussion	NOUN
ajst-24872	37	5	of	of	ADP
ajst-24872	37	6	bias	bias	NOUN
ajst-24872	37	7	issues	issue	NOUN
ajst-24872	37	8	in	in	ADP
ajst-24872	37	9	the	the	DET
ajst-24872	37	10	aforementioned	aforementioned	ADJ
ajst-24872	37	11	studies	study	NOUN
ajst-24872	37	12	,	,	PUNCT
ajst-24872	37	13	empirical	empirical	ADJ
ajst-24872	37	14	research	research	NOUN
ajst-24872	37	15	on	on	ADP
ajst-24872	37	16	bias	bias	NOUN
ajst-24872	37	17	behavior	behavior	NOUN
ajst-24872	37	18	in	in	ADP
ajst-24872	37	19	llm	llm	NOUN
ajst-24872	37	20	-	-	PUNCT
ajst-24872	37	21	based	base	VERB
ajst-24872	37	22	robots	robot	NOUN
ajst-24872	37	23	remains	remain	VERB
ajst-24872	37	24	relatively	relatively	ADV
ajst-24872	37	25	sparse	sparse	ADJ
ajst-24872	37	26	.	.	PUNCT
ajst-24872	38	1	our	our	PRON
ajst-24872	38	2	study	study	NOUN
ajst-24872	38	3	's	's	PART
ajst-24872	38	4	innovation	innovation	NOUN
ajst-24872	38	5	lies	lie	VERB
ajst-24872	38	6	in	in	ADP
ajst-24872	38	7	systematically	systematically	ADV
ajst-24872	38	8	revealing	reveal	VERB
ajst-24872	38	9	discriminatory	discriminatory	ADJ
ajst-24872	38	10	behaviors	behavior	NOUN
ajst-24872	38	11	that	that	SCONJ
ajst-24872	38	12	llm	llm	NOUN
ajst-24872	38	13	-	-	PUNCT
ajst-24872	38	14	based	base	VERB
ajst-24872	38	15	robots	robot	NOUN
ajst-24872	38	16	may	may	AUX
ajst-24872	38	17	exhibit	exhibit	VERB
ajst-24872	38	18	in	in	ADP
ajst-24872	38	19	various	various	ADJ
ajst-24872	38	20	contexts	context	NOUN
ajst-24872	38	21	through	through	ADP
ajst-24872	38	22	experimental	experimental	ADJ
ajst-24872	38	23	design	design	NOUN
ajst-24872	38	24	and	and	CCONJ
ajst-24872	38	25	data	datum	NOUN
ajst-24872	38	26	analysis	analysis	NOUN
ajst-24872	38	27	and	and	CCONJ
ajst-24872	38	28	proposing	propose	VERB
ajst-24872	38	29	effective	effective	ADJ
ajst-24872	38	30	bias	bias	NOUN
ajst-24872	38	31	detection	detection	NOUN
ajst-24872	38	32	and	and	CCONJ
ajst-24872	38	33	mitigation	mitigation	NOUN
ajst-24872	38	34	strategies	strategy	NOUN
ajst-24872	38	35	.	.	PUNCT
ajst-24872	39	1	the	the	DET
ajst-24872	39	2	necessity	necessity	NOUN
ajst-24872	39	3	of	of	ADP
ajst-24872	39	4	our	our	PRON
ajst-24872	39	5	study	study	NOUN
ajst-24872	39	6	is	be	AUX
ajst-24872	39	7	reflected	reflect	VERB
ajst-24872	39	8	in	in	ADP
ajst-24872	39	9	three	three	NUM
ajst-24872	39	10	aspects	aspect	NOUN
ajst-24872	39	11	:	:	PUNCT
ajst-24872	39	12	first	first	ADV
ajst-24872	39	13	,	,	PUNCT
ajst-24872	39	14	with	with	ADP
ajst-24872	39	15	the	the	DET
ajst-24872	39	16	widespread	widespread	ADJ
ajst-24872	39	17	application	application	NOUN
ajst-24872	39	18	of	of	ADP
ajst-24872	39	19	robotic	robotic	ADJ
ajst-24872	39	20	technology	technology	NOUN
ajst-24872	39	21	,	,	PUNCT
ajst-24872	39	22	ensuring	ensure	VERB
ajst-24872	39	23	the	the	DET
ajst-24872	39	24	fairness	fairness	NOUN
ajst-24872	39	25	and	and	CCONJ
ajst-24872	39	26	inclusivity	inclusivity	NOUN
ajst-24872	39	27	of	of	ADP
ajst-24872	39	28	hri	hri	PROPN
ajst-24872	39	29	is	be	AUX
ajst-24872	39	30	crucial	crucial	ADJ
ajst-24872	39	31	for	for	ADP
ajst-24872	39	32	sustainable	sustainable	ADJ
ajst-24872	39	33	social	social	ADJ
ajst-24872	39	34	development	development	NOUN
ajst-24872	39	35	.	.	PUNCT
ajst-24872	40	1	second	second	ADJ
ajst-24872	40	2	,	,	PUNCT
ajst-24872	40	3	existing	exist	VERB
ajst-24872	40	4	research	research	NOUN
ajst-24872	40	5	often	often	ADV
ajst-24872	40	6	focuses	focus	VERB
ajst-24872	40	7	on	on	ADP
ajst-24872	40	8	single	single	ADJ
ajst-24872	40	9	application	application	NOUN
ajst-24872	40	10	scenarios	scenario	NOUN
ajst-24872	40	11	or	or	CCONJ
ajst-24872	40	12	static	static	ADJ
ajst-24872	40	13	data	datum	NOUN
ajst-24872	40	14	analysis	analysis	NOUN
ajst-24872	40	15	,	,	PUNCT
ajst-24872	40	16	lacking	lack	VERB
ajst-24872	40	17	empirical	empirical	ADJ
ajst-24872	40	18	research	research	NOUN
ajst-24872	40	19	on	on	ADP
ajst-24872	40	20	bias	bias	NOUN
ajst-24872	40	21	behaviors	behavior	NOUN
ajst-24872	40	22	in	in	ADP
ajst-24872	40	23	dynamic	dynamic	ADJ
ajst-24872	40	24	hri	hri	PROPN
ajst-24872	40	25	processes	process	NOUN
ajst-24872	40	26	.	.	PUNCT
ajst-24872	41	1	finally	finally	ADV
ajst-24872	41	2	,	,	PUNCT
ajst-24872	41	3	exploring	explore	VERB
ajst-24872	41	4	bias	bias	NOUN
ajst-24872	41	5	detection	detection	NOUN
ajst-24872	41	6	methods	method	NOUN
ajst-24872	41	7	and	and	CCONJ
ajst-24872	41	8	mitigation	mitigation	NOUN
ajst-24872	41	9	strategies	strategy	NOUN
ajst-24872	41	10	not	not	PART
ajst-24872	41	11	only	only	ADV
ajst-24872	41	12	helps	helps	AUX
ajst-24872	41	13	improve	improve	VERB
ajst-24872	41	14	the	the	DET
ajst-24872	41	15	fairness	fairness	NOUN
ajst-24872	41	16	of	of	ADP
ajst-24872	41	17	robotic	robotic	ADJ
ajst-24872	41	18	systems	system	NOUN
ajst-24872	41	19	but	but	CCONJ
ajst-24872	41	20	also	also	ADV
ajst-24872	41	21	provides	provide	VERB
ajst-24872	41	22	theoretical	theoretical	ADJ
ajst-24872	41	23	and	and	CCONJ
ajst-24872	41	24	practical	practical	ADJ
ajst-24872	41	25	guidance	guidance	NOUN
ajst-24872	41	26	for	for	ADP
ajst-24872	41	27	designing	design	VERB
ajst-24872	41	28	more	more	ADV
ajst-24872	41	29	equitable	equitable	ADJ
ajst-24872	41	30	and	and	CCONJ
ajst-24872	41	31	inclusive	inclusive	ADJ
ajst-24872	41	32	ai	ai	PROPN
ajst-24872	41	33	systems	system	NOUN
ajst-24872	41	34	.	.	PUNCT
ajst-24872	42	1	therefore	therefore	ADV
ajst-24872	42	2	,	,	PUNCT
ajst-24872	42	3	our	our	PRON
ajst-24872	42	4	study	study	NOUN
ajst-24872	42	5	not	not	PART
ajst-24872	42	6	only	only	ADV
ajst-24872	42	7	reveals	reveal	VERB
ajst-24872	42	8	bias	bias	NOUN
ajst-24872	42	9	behavior	behavior	NOUN
ajst-24872	42	10	and	and	CCONJ
ajst-24872	42	11	its	its	PRON
ajst-24872	42	12	impacts	impact	NOUN
ajst-24872	42	13	in	in	ADP
ajst-24872	42	14	llm	llm	NOUN
ajst-24872	42	15	-	-	PUNCT
ajst-24872	42	16	based	base	VERB
ajst-24872	42	17	robots	robot	NOUN
ajst-24872	42	18	but	but	CCONJ
ajst-24872	42	19	also	also	ADV
ajst-24872	42	20	offers	offer	VERB
ajst-24872	42	21	important	important	ADJ
ajst-24872	42	22	references	reference	NOUN
ajst-24872	42	23	for	for	ADP
ajst-24872	42	24	future	future	ADJ
ajst-24872	42	25	robotic	robotic	ADJ
ajst-24872	42	26	and	and	CCONJ
ajst-24872	42	27	ai	ai	VERB
ajst-24872	42	28	system	system	NOUN
ajst-24872	42	29	designs	design	NOUN
ajst-24872	42	30	.	.	PUNCT
ajst-24872	43	1	2	2	X
ajst-24872	43	2	.	.	X
ajst-24872	43	3	literature	literature	NOUN
ajst-24872	43	4	review	review	NOUN
ajst-24872	43	5	in	in	ADP
ajst-24872	43	6	recent	recent	ADJ
ajst-24872	43	7	years	year	NOUN
ajst-24872	43	8	,	,	PUNCT
ajst-24872	43	9	the	the	DET
ajst-24872	43	10	widespread	widespread	ADJ
ajst-24872	43	11	application	application	NOUN
ajst-24872	43	12	of	of	ADP
ajst-24872	43	13	large	large	ADJ
ajst-24872	43	14	language	language	NOUN
ajst-24872	43	15	models	model	NOUN
ajst-24872	43	16	(	(	PUNCT
ajst-24872	43	17	llms	llm	NOUN
ajst-24872	43	18	)	)	PUNCT
ajst-24872	43	19	in	in	ADP
ajst-24872	43	20	various	various	ADJ
ajst-24872	43	21	fields	field	NOUN
ajst-24872	43	22	has	have	AUX
ajst-24872	43	23	increased	increase	VERB
ajst-24872	43	24	research	research	NOUN
ajst-24872	43	25	on	on	ADP
ajst-24872	43	26	their	their	PRON
ajst-24872	43	27	potential	potential	ADJ
ajst-24872	43	28	bias	bias	NOUN
ajst-24872	43	29	issues	issue	NOUN
ajst-24872	43	30	.	.	PUNCT
ajst-24872	44	1	llms	llm	NOUN
ajst-24872	44	2	have	have	AUX
ajst-24872	44	3	shown	show	VERB
ajst-24872	44	4	significant	significant	ADJ
ajst-24872	44	5	bias	bias	NOUN
ajst-24872	44	6	problems	problem	NOUN
ajst-24872	44	7	in	in	ADP
ajst-24872	44	8	natural	natural	ADJ
ajst-24872	44	9	language	language	NOUN
ajst-24872	44	10	processing	processing	NOUN
ajst-24872	44	11	,	,	PUNCT
ajst-24872	44	12	image	image	NOUN
ajst-24872	44	13	description	description	NOUN
ajst-24872	44	14	generation	generation	NOUN
ajst-24872	44	15	,	,	PUNCT
ajst-24872	44	16	facial	facial	ADJ
ajst-24872	44	17	recognition	recognition	NOUN
ajst-24872	44	18	,	,	PUNCT
ajst-24872	44	19	automatic	automatic	ADJ
ajst-24872	44	20	recruitment	recruitment	NOUN
ajst-24872	44	21	,	,	PUNCT
ajst-24872	44	22	and	and	CCONJ
ajst-24872	44	23	other	other	ADJ
ajst-24872	44	24	fields	field	NOUN
ajst-24872	44	25	.	.	PUNCT
ajst-24872	45	1	these	these	DET
ajst-24872	45	2	issues	issue	NOUN
ajst-24872	45	3	affect	affect	VERB
ajst-24872	45	4	the	the	DET
ajst-24872	45	5	fairness	fairness	NOUN
ajst-24872	45	6	and	and	CCONJ
ajst-24872	45	7	reliability	reliability	NOUN
ajst-24872	45	8	of	of	ADP
ajst-24872	45	9	the	the	DET
ajst-24872	45	10	models	model	NOUN
ajst-24872	45	11	and	and	CCONJ
ajst-24872	45	12	pose	pose	VERB
ajst-24872	45	13	severe	severe	ADJ
ajst-24872	45	14	challenges	challenge	NOUN
ajst-24872	45	15	to	to	ADP
ajst-24872	45	16	social	social	ADJ
ajst-24872	45	17	equity	equity	NOUN
ajst-24872	45	18	.	.	PUNCT
ajst-24872	46	1	87	87	NUM
ajst-24872	46	2	2.1	2.1	NUM
ajst-24872	46	3	.	.	PUNCT
ajst-24872	46	4	bias	bias	NOUN
ajst-24872	46	5	in	in	ADP
ajst-24872	46	6	llms	llm	NOUN
ajst-24872	46	7	an	an	PRON
ajst-24872	46	8	and	and	CCONJ
ajst-24872	46	9	yao	yao	NOUN
ajst-24872	46	10	(	(	PUNCT
ajst-24872	46	11	2024	2024	NUM
ajst-24872	46	12	)	)	PUNCT
ajst-24872	46	13	highlighted	highlight	VERB
ajst-24872	46	14	that	that	SCONJ
ajst-24872	46	15	llms	llm	NOUN
ajst-24872	46	16	are	be	AUX
ajst-24872	46	17	prone	prone	ADJ
ajst-24872	46	18	to	to	ADP
ajst-24872	46	19	introducing	introduce	VERB
ajst-24872	46	20	gender	gender	NOUN
ajst-24872	46	21	and	and	CCONJ
ajst-24872	46	22	racial	racial	ADJ
ajst-24872	46	23	biases	bias	NOUN
ajst-24872	46	24	in	in	ADP
ajst-24872	46	25	natural	natural	ADJ
ajst-24872	46	26	language	language	NOUN
ajst-24872	46	27	processing	processing	NOUN
ajst-24872	46	28	tasks	task	NOUN
ajst-24872	46	29	,	,	PUNCT
ajst-24872	46	30	typically	typically	ADV
ajst-24872	46	31	stemming	stem	VERB
ajst-24872	46	32	from	from	ADP
ajst-24872	46	33	implicit	implicit	ADJ
ajst-24872	46	34	information	information	NOUN
ajst-24872	46	35	in	in	ADP
ajst-24872	46	36	training	training	NOUN
ajst-24872	46	37	data	datum	NOUN
ajst-24872	46	38	.	.	PUNCT
ajst-24872	47	1	thach	thach	PROPN
ajst-24872	47	2	and	and	CCONJ
ajst-24872	47	3	chen	chen	PROPN
ajst-24872	47	4	(	(	PUNCT
ajst-24872	47	5	2024	2024	NUM
ajst-24872	47	6	)	)	PUNCT
ajst-24872	47	7	revealed	reveal	VERB
ajst-24872	47	8	pervasive	pervasive	ADJ
ajst-24872	47	9	gender	gender	NOUN
ajst-24872	47	10	biases	bias	NOUN
ajst-24872	47	11	in	in	ADP
ajst-24872	47	12	word	word	NOUN
ajst-24872	47	13	vector	vector	NOUN
ajst-24872	47	14	models	model	NOUN
ajst-24872	47	15	and	and	CCONJ
ajst-24872	47	16	proposed	propose	VERB
ajst-24872	47	17	initial	initial	ADJ
ajst-24872	47	18	mitigation	mitigation	NOUN
ajst-24872	47	19	methods	method	NOUN
ajst-24872	47	20	such	such	ADJ
ajst-24872	47	21	as	as	ADP
ajst-24872	47	22	debiasing	debiase	VERB
ajst-24872	47	23	.	.	PUNCT
ajst-24872	48	1	haber	haber	PROPN
ajst-24872	48	2	and	and	CCONJ
ajst-24872	48	3	yang	yang	PROPN
ajst-24872	48	4	(	(	PUNCT
ajst-24872	48	5	2021	2021	NUM
ajst-24872	48	6	)	)	PUNCT
ajst-24872	48	7	identified	identify	VERB
ajst-24872	48	8	racial	racial	ADJ
ajst-24872	48	9	and	and	CCONJ
ajst-24872	48	10	gender	gender	NOUN
ajst-24872	48	11	bias	bias	NOUN
ajst-24872	48	12	issues	issue	NOUN
ajst-24872	48	13	in	in	ADP
ajst-24872	48	14	facial	facial	ADJ
ajst-24872	48	15	recognition	recognition	NOUN
ajst-24872	48	16	technology	technology	NOUN
ajst-24872	48	17	,	,	PUNCT
ajst-24872	48	18	noting	note	VERB
ajst-24872	48	19	that	that	SCONJ
ajst-24872	48	20	these	these	DET
ajst-24872	48	21	technologies	technology	NOUN
ajst-24872	48	22	significantly	significantly	ADV
ajst-24872	48	23	underperform	underperform	VERB
ajst-24872	48	24	for	for	ADP
ajst-24872	48	25	darker	dark	ADJ
ajst-24872	48	26	-	-	PUNCT
ajst-24872	48	27	skinned	skin	VERB
ajst-24872	48	28	individuals	individual	NOUN
ajst-24872	48	29	and	and	CCONJ
ajst-24872	48	30	women	woman	NOUN
ajst-24872	48	31	compared	compare	VERB
ajst-24872	48	32	to	to	ADP
ajst-24872	48	33	lighter	light	ADJ
ajst-24872	48	34	-	-	PUNCT
ajst-24872	48	35	skinned	skin	VERB
ajst-24872	48	36	individuals	individual	NOUN
ajst-24872	48	37	and	and	CCONJ
ajst-24872	48	38	men	man	NOUN
ajst-24872	48	39	.	.	PUNCT
ajst-24872	49	1	lauscher	lauscher	ADV
ajst-24872	49	2	et	et	PROPN
ajst-24872	49	3	al	al	PROPN
ajst-24872	49	4	.	.	PROPN
ajst-24872	49	5	(	(	PUNCT
ajst-24872	49	6	2020	2020	NUM
ajst-24872	49	7	)	)	PUNCT
ajst-24872	49	8	and	and	CCONJ
ajst-24872	49	9	xu	xu	PROPN
ajst-24872	49	10	(	(	PUNCT
ajst-24872	49	11	2024	2024	NUM
ajst-24872	49	12	)	)	PUNCT
ajst-24872	49	13	demonstrated	demonstrate	VERB
ajst-24872	49	14	through	through	ADP
ajst-24872	49	15	word	word	NOUN
ajst-24872	49	16	vector	vector	NOUN
ajst-24872	49	17	analysis	analysis	NOUN
ajst-24872	49	18	how	how	SCONJ
ajst-24872	49	19	machine	machine	NOUN
ajst-24872	49	20	learning	learning	NOUN
ajst-24872	49	21	models	model	NOUN
ajst-24872	49	22	inherit	inherit	VERB
ajst-24872	49	23	and	and	CCONJ
ajst-24872	49	24	amplify	amplify	VERB
ajst-24872	49	25	implicit	implicit	ADJ
ajst-24872	49	26	biases	bias	NOUN
ajst-24872	49	27	in	in	ADP
ajst-24872	49	28	training	training	NOUN
ajst-24872	49	29	data	datum	NOUN
ajst-24872	49	30	.	.	PUNCT
ajst-24872	50	1	zhang	zhang	PROPN
ajst-24872	50	2	et	et	PROPN
ajst-24872	50	3	al	al	PROPN
ajst-24872	50	4	.	.	PROPN
ajst-24872	50	5	(	(	PUNCT
ajst-24872	50	6	2023	2023	NUM
ajst-24872	50	7	)	)	PUNCT
ajst-24872	50	8	found	find	VERB
ajst-24872	50	9	that	that	SCONJ
ajst-24872	50	10	models	model	NOUN
ajst-24872	50	11	often	often	ADV
ajst-24872	50	12	reinforce	reinforce	VERB
ajst-24872	50	13	gender	gender	NOUN
ajst-24872	50	14	stereotypes	stereotype	NOUN
ajst-24872	50	15	in	in	ADP
ajst-24872	50	16	visual	visual	ADJ
ajst-24872	50	17	tasks	task	NOUN
ajst-24872	50	18	.	.	PUNCT
ajst-24872	51	1	2.2	2.2	NUM
ajst-24872	51	2	.	.	PUNCT
ajst-24872	51	3	bias	bias	NOUN
ajst-24872	51	4	detection	detection	NOUN
ajst-24872	51	5	methods	method	NOUN
ajst-24872	51	6	current	current	ADJ
ajst-24872	51	7	research	research	NOUN
ajst-24872	51	8	on	on	ADP
ajst-24872	51	9	bias	bias	NOUN
ajst-24872	51	10	detection	detection	NOUN
ajst-24872	51	11	methods	method	NOUN
ajst-24872	51	12	mainly	mainly	ADV
ajst-24872	51	13	includes	include	VERB
ajst-24872	51	14	statistical	statistical	ADJ
ajst-24872	51	15	analysis	analysis	NOUN
ajst-24872	51	16	,	,	PUNCT
ajst-24872	51	17	natural	natural	ADJ
ajst-24872	51	18	language	language	NOUN
ajst-24872	51	19	processing	processing	NOUN
ajst-24872	51	20	techniques	technique	NOUN
ajst-24872	51	21	,	,	PUNCT
ajst-24872	51	22	and	and	CCONJ
ajst-24872	51	23	machine	machine	NOUN
ajst-24872	51	24	learning	learning	NOUN
ajst-24872	51	25	models	model	NOUN
ajst-24872	51	26	.	.	PUNCT
ajst-24872	52	1	tu	tu	PROPN
ajst-24872	52	2	et	et	PROPN
ajst-24872	52	3	al	al	PROPN
ajst-24872	52	4	.	.	PROPN
ajst-24872	52	5	(	(	PUNCT
ajst-24872	52	6	2023	2023	NUM
ajst-24872	52	7	)	)	PUNCT
ajst-24872	52	8	reviewed	review	VERB
ajst-24872	52	9	various	various	ADJ
ajst-24872	52	10	bias	bias	NOUN
ajst-24872	52	11	detection	detection	NOUN
ajst-24872	52	12	methods	method	NOUN
ajst-24872	52	13	,	,	PUNCT
ajst-24872	52	14	noting	note	VERB
ajst-24872	52	15	that	that	SCONJ
ajst-24872	52	16	these	these	DET
ajst-24872	52	17	methods	method	NOUN
ajst-24872	52	18	effectively	effectively	ADV
ajst-24872	52	19	identify	identify	VERB
ajst-24872	52	20	and	and	CCONJ
ajst-24872	52	21	quantify	quantify	VERB
ajst-24872	52	22	model	model	NOUN
ajst-24872	52	23	bias	bias	NOUN
ajst-24872	52	24	but	but	CCONJ
ajst-24872	52	25	also	also	ADV
ajst-24872	52	26	have	have	VERB
ajst-24872	52	27	limitations	limitation	NOUN
ajst-24872	52	28	.	.	PUNCT
ajst-24872	53	1	vaidya	vaidya	PROPN
ajst-24872	53	2	et	et	PROPN
ajst-24872	53	3	al	al	PROPN
ajst-24872	53	4	.	.	PROPN
ajst-24872	53	5	(	(	PUNCT
ajst-24872	53	6	2020	2020	NUM
ajst-24872	53	7	)	)	PUNCT
ajst-24872	53	8	proposed	propose	VERB
ajst-24872	53	9	several	several	ADJ
ajst-24872	53	10	improvement	improvement	NOUN
ajst-24872	53	11	methods	method	NOUN
ajst-24872	53	12	for	for	ADP
ajst-24872	53	13	bias	bias	NOUN
ajst-24872	53	14	detection	detection	NOUN
ajst-24872	53	15	in	in	ADP
ajst-24872	53	16	sentiment	sentiment	NOUN
ajst-24872	53	17	analysis	analysis	NOUN
ajst-24872	53	18	tasks	task	NOUN
ajst-24872	53	19	to	to	PART
ajst-24872	53	20	more	more	ADV
ajst-24872	53	21	accurately	accurately	ADV
ajst-24872	53	22	identify	identify	VERB
ajst-24872	53	23	model	model	NOUN
ajst-24872	53	24	bias	bias	NOUN
ajst-24872	53	25	.	.	PUNCT
ajst-24872	54	1	xia	xia	PROPN
ajst-24872	54	2	and	and	CCONJ
ajst-24872	54	3	lin	lin	PROPN
ajst-24872	54	4	(	(	PUNCT
ajst-24872	54	5	2023	2023	NUM
ajst-24872	54	6	)	)	PUNCT
ajst-24872	54	7	analyzed	analyze	VERB
ajst-24872	54	8	bias	bias	NOUN
ajst-24872	54	9	in	in	ADP
ajst-24872	54	10	social	social	ADJ
ajst-24872	54	11	media	medium	NOUN
ajst-24872	54	12	content	content	NOUN
ajst-24872	54	13	moderation	moderation	NOUN
ajst-24872	54	14	systems	system	NOUN
ajst-24872	54	15	,	,	PUNCT
ajst-24872	54	16	proposing	propose	VERB
ajst-24872	54	17	classifier	classifier	NOUN
ajst-24872	54	18	-	-	PUNCT
ajst-24872	54	19	based	base	VERB
ajst-24872	54	20	bias	bias	NOUN
ajst-24872	54	21	detection	detection	NOUN
ajst-24872	54	22	methods	method	NOUN
ajst-24872	54	23	that	that	PRON
ajst-24872	54	24	effectively	effectively	ADV
ajst-24872	54	25	identify	identify	VERB
ajst-24872	54	26	and	and	CCONJ
ajst-24872	54	27	quantify	quantify	VERB
ajst-24872	54	28	different	different	ADJ
ajst-24872	54	29	types	type	NOUN
ajst-24872	54	30	of	of	ADP
ajst-24872	54	31	bias	bias	NOUN
ajst-24872	54	32	.	.	PUNCT
ajst-24872	55	1	2.3	2.3	NUM
ajst-24872	55	2	.	.	PUNCT
ajst-24872	55	3	bias	bias	NOUN
ajst-24872	55	4	mitigation	mitigation	NOUN
ajst-24872	55	5	strategies	strategy	NOUN
ajst-24872	55	6	researchers	researcher	NOUN
ajst-24872	55	7	have	have	AUX
ajst-24872	55	8	proposed	propose	VERB
ajst-24872	55	9	various	various	ADJ
ajst-24872	55	10	bias	bias	NOUN
ajst-24872	55	11	mitigation	mitigation	NOUN
ajst-24872	55	12	methods	method	NOUN
ajst-24872	55	13	,	,	PUNCT
ajst-24872	55	14	including	include	VERB
ajst-24872	55	15	data	datum	NOUN
ajst-24872	55	16	resampling	resampling	NOUN
ajst-24872	55	17	,	,	PUNCT
ajst-24872	55	18	model	model	NOUN
ajst-24872	55	19	regularization	regularization	NOUN
ajst-24872	55	20	,	,	PUNCT
ajst-24872	55	21	and	and	CCONJ
ajst-24872	55	22	post	post	ADJ
ajst-24872	55	23	-	-	ADJ
ajst-24872	55	24	processing	processing	ADJ
ajst-24872	55	25	techniques	technique	NOUN
ajst-24872	55	26	.	.	PUNCT
ajst-24872	56	1	liu	liu	PROPN
ajst-24872	56	2	and	and	CCONJ
ajst-24872	56	3	lin	lin	PROPN
ajst-24872	56	4	(	(	PUNCT
ajst-24872	56	5	2023	2023	NUM
ajst-24872	56	6	)	)	PUNCT
ajst-24872	56	7	proposed	propose	VERB
ajst-24872	56	8	debiasing	debiase	VERB
ajst-24872	56	9	by	by	ADP
ajst-24872	56	10	adjusting	adjust	VERB
ajst-24872	56	11	word	word	NOUN
ajst-24872	56	12	vectors	vector	NOUN
ajst-24872	56	13	to	to	PART
ajst-24872	56	14	reduce	reduce	VERB
ajst-24872	56	15	gender	gender	NOUN
ajst-24872	56	16	bias	bias	NOUN
ajst-24872	56	17	in	in	ADP
ajst-24872	56	18	models	model	NOUN
ajst-24872	56	19	.	.	PUNCT
ajst-24872	57	1	wang	wang	PROPN
ajst-24872	57	2	et	et	PROPN
ajst-24872	57	3	al	al	PROPN
ajst-24872	57	4	.	.	PROPN
ajst-24872	58	1	(	(	PUNCT
ajst-24872	58	2	2010	2010	NUM
ajst-24872	58	3	)	)	PUNCT
ajst-24872	58	4	introduced	introduce	VERB
ajst-24872	58	5	fairness	fairness	NOUN
ajst-24872	58	6	constraints	constraint	NOUN
ajst-24872	58	7	in	in	ADP
ajst-24872	58	8	image	image	NOUN
ajst-24872	58	9	description	description	NOUN
ajst-24872	58	10	generation	generation	NOUN
ajst-24872	58	11	tasks	task	NOUN
ajst-24872	58	12	to	to	PART
ajst-24872	58	13	mitigate	mitigate	VERB
ajst-24872	58	14	gender	gender	NOUN
ajst-24872	58	15	bias	bias	NOUN
ajst-24872	58	16	.	.	PUNCT
ajst-24872	59	1	liu	liu	PROPN
ajst-24872	59	2	et	et	PROPN
ajst-24872	59	3	al	al	PROPN
ajst-24872	59	4	.	.	PROPN
ajst-24872	60	1	(	(	PUNCT
ajst-24872	60	2	2024	2024	NUM
ajst-24872	60	3	)	)	PUNCT
ajst-24872	60	4	proposed	propose	VERB
ajst-24872	60	5	a	a	DET
ajst-24872	60	6	systematic	systematic	ADJ
ajst-24872	60	7	framework	framework	NOUN
ajst-24872	60	8	to	to	PART
ajst-24872	60	9	reduce	reduce	VERB
ajst-24872	60	10	bias	bias	NOUN
ajst-24872	60	11	in	in	ADP
ajst-24872	60	12	facial	facial	ADJ
ajst-24872	60	13	recognition	recognition	NOUN
ajst-24872	60	14	technology	technology	NOUN
ajst-24872	60	15	,	,	PUNCT
ajst-24872	60	16	including	include	VERB
ajst-24872	60	17	incorporating	incorporate	VERB
ajst-24872	60	18	diversity	diversity	NOUN
ajst-24872	60	19	and	and	CCONJ
ajst-24872	60	20	fairness	fairness	NOUN
ajst-24872	60	21	metrics	metric	NOUN
ajst-24872	60	22	in	in	ADP
ajst-24872	60	23	model	model	NOUN
ajst-24872	60	24	training	training	NOUN
ajst-24872	60	25	and	and	CCONJ
ajst-24872	60	26	evaluation	evaluation	NOUN
ajst-24872	60	27	.	.	PUNCT
ajst-24872	61	1	yao	yao	PROPN
ajst-24872	61	2	et	et	PROPN
ajst-24872	61	3	al	al	PROPN
ajst-24872	61	4	.	.	PROPN
ajst-24872	61	5	(	(	PUNCT
ajst-24872	61	6	2022	2022	NUM
ajst-24872	61	7	)	)	PUNCT
ajst-24872	61	8	alleviated	alleviated	ADJ
ajst-24872	61	9	gender	gender	NOUN
ajst-24872	61	10	bias	bias	NOUN
ajst-24872	61	11	in	in	ADP
ajst-24872	61	12	automatic	automatic	ADJ
ajst-24872	61	13	recruitment	recruitment	NOUN
ajst-24872	61	14	systems	system	NOUN
ajst-24872	61	15	through	through	ADP
ajst-24872	61	16	data	datum	NOUN
ajst-24872	61	17	resampling	resampling	NOUN
ajst-24872	61	18	and	and	CCONJ
ajst-24872	61	19	model	model	NOUN
ajst-24872	61	20	adjustments	adjustment	NOUN
ajst-24872	61	21	.	.	PUNCT
ajst-24872	62	1	3	3	X
ajst-24872	62	2	.	.	X
ajst-24872	62	3	experimental	experimental	ADJ
ajst-24872	62	4	design	design	NOUN
ajst-24872	62	5	to	to	PART
ajst-24872	62	6	validate	validate	VERB
ajst-24872	62	7	the	the	DET
ajst-24872	62	8	effectiveness	effectiveness	NOUN
ajst-24872	62	9	of	of	ADP
ajst-24872	62	10	different	different	ADJ
ajst-24872	62	11	bias	bias	NOUN
ajst-24872	62	12	detection	detection	NOUN
ajst-24872	62	13	and	and	CCONJ
ajst-24872	62	14	mitigation	mitigation	NOUN
ajst-24872	62	15	methods	method	NOUN
ajst-24872	62	16	,	,	PUNCT
ajst-24872	62	17	our	our	PRON
ajst-24872	62	18	study	study	NOUN
ajst-24872	62	19	designed	design	VERB
ajst-24872	62	20	a	a	DET
ajst-24872	62	21	series	series	NOUN
ajst-24872	62	22	of	of	ADP
ajst-24872	62	23	experiments	experiment	NOUN
ajst-24872	62	24	covering	cover	VERB
ajst-24872	62	25	five	five	NUM
ajst-24872	62	26	application	application	NOUN
ajst-24872	62	27	scenarios	scenario	NOUN
ajst-24872	62	28	:	:	PUNCT
ajst-24872	62	29	customer	customer	NOUN
ajst-24872	62	30	service	service	NOUN
ajst-24872	62	31	robots	robot	NOUN
ajst-24872	62	32	,	,	PUNCT
ajst-24872	62	33	education	education	NOUN
ajst-24872	62	34	robots	robot	NOUN
ajst-24872	62	35	,	,	PUNCT
ajst-24872	62	36	healthcare	healthcare	NOUN
ajst-24872	62	37	robots	robot	NOUN
ajst-24872	62	38	,	,	PUNCT
ajst-24872	62	39	recruitment	recruitment	NOUN
ajst-24872	62	40	robots	robot	NOUN
ajst-24872	62	41	,	,	PUNCT
ajst-24872	62	42	and	and	CCONJ
ajst-24872	62	43	social	social	ADJ
ajst-24872	62	44	robots	robot	NOUN
ajst-24872	62	45	.	.	PUNCT
ajst-24872	63	1	each	each	DET
ajst-24872	63	2	experimental	experimental	ADJ
ajst-24872	63	3	scenario	scenario	NOUN
ajst-24872	63	4	involves	involve	VERB
ajst-24872	63	5	collecting	collect	VERB
ajst-24872	63	6	extensive	extensive	ADJ
ajst-24872	63	7	data	datum	NOUN
ajst-24872	63	8	to	to	PART
ajst-24872	63	9	analyze	analyze	VERB
ajst-24872	63	10	the	the	DET
ajst-24872	63	11	mechanisms	mechanism	NOUN
ajst-24872	63	12	of	of	ADP
ajst-24872	63	13	bias	bias	NOUN
ajst-24872	63	14	generation	generation	NOUN
ajst-24872	63	15	and	and	CCONJ
ajst-24872	63	16	its	its	PRON
ajst-24872	63	17	influencing	influence	VERB
ajst-24872	63	18	factors	factor	NOUN
ajst-24872	63	19	.	.	PUNCT
ajst-24872	64	1	3.1	3.1	NUM
ajst-24872	64	2	.	.	PUNCT
ajst-24872	64	3	customer	customer	NOUN
ajst-24872	64	4	service	service	NOUN
ajst-24872	64	5	robots	robot	NOUN
ajst-24872	64	6	we	we	PRON
ajst-24872	64	7	simulated	simulate	VERB
ajst-24872	64	8	inquiries	inquiry	NOUN
ajst-24872	64	9	from	from	ADP
ajst-24872	64	10	100	100	NUM
ajst-24872	64	11	customers	customer	NOUN
ajst-24872	64	12	of	of	ADP
ajst-24872	64	13	diverse	diverse	ADJ
ajst-24872	64	14	backgrounds	background	NOUN
ajst-24872	64	15	to	to	PART
ajst-24872	64	16	observe	observe	VERB
ajst-24872	64	17	potential	potential	ADJ
ajst-24872	64	18	biases	bias	NOUN
ajst-24872	64	19	in	in	ADP
ajst-24872	64	20	robot	robot	NOUN
ajst-24872	64	21	responses	response	NOUN
ajst-24872	64	22	.	.	PUNCT
ajst-24872	65	1	the	the	DET
ajst-24872	65	2	customers	customer	NOUN
ajst-24872	65	3	included	include	VERB
ajst-24872	65	4	50	50	NUM
ajst-24872	65	5	males	male	NOUN
ajst-24872	65	6	and	and	CCONJ
ajst-24872	65	7	50	50	NUM
ajst-24872	65	8	females	female	NOUN
ajst-24872	65	9	,	,	PUNCT
ajst-24872	65	10	encompassing	encompass	VERB
ajst-24872	65	11	white	white	ADJ
ajst-24872	65	12	,	,	PUNCT
ajst-24872	65	13	black	black	ADJ
ajst-24872	65	14	,	,	PUNCT
ajst-24872	65	15	asian	asian	ADJ
ajst-24872	65	16	,	,	PUNCT
ajst-24872	65	17	and	and	CCONJ
ajst-24872	65	18	latino	latino	ADJ
ajst-24872	65	19	ethnicities	ethnicity	NOUN
ajst-24872	65	20	,	,	PUNCT
ajst-24872	65	21	aged	age	VERB
ajst-24872	65	22	18	18	NUM
ajst-24872	65	23	to	to	ADP
ajst-24872	65	24	over	over	ADP
ajst-24872	65	25	50	50	NUM
ajst-24872	65	26	,	,	PUNCT
ajst-24872	65	27	and	and	CCONJ
ajst-24872	65	28	from	from	ADP
ajst-24872	65	29	various	various	ADJ
ajst-24872	65	30	professions	profession	NOUN
ajst-24872	65	31	such	such	ADJ
ajst-24872	65	32	as	as	ADP
ajst-24872	65	33	students	student	NOUN
ajst-24872	65	34	,	,	PUNCT
ajst-24872	65	35	employees	employee	NOUN
ajst-24872	65	36	,	,	PUNCT
ajst-24872	65	37	managers	manager	NOUN
ajst-24872	65	38	,	,	PUNCT
ajst-24872	65	39	and	and	CCONJ
ajst-24872	65	40	retirees	retiree	NOUN
ajst-24872	65	41	.	.	PUNCT
ajst-24872	66	1	each	each	DET
ajst-24872	66	2	customer	customer	NOUN
ajst-24872	66	3	asked	ask	VERB
ajst-24872	66	4	questions	question	NOUN
ajst-24872	66	5	related	relate	VERB
ajst-24872	66	6	to	to	ADP
ajst-24872	66	7	product	product	NOUN
ajst-24872	66	8	information	information	NOUN
ajst-24872	66	9	,	,	PUNCT
ajst-24872	66	10	refund	refund	NOUN
ajst-24872	66	11	processes	process	NOUN
ajst-24872	66	12	,	,	PUNCT
ajst-24872	66	13	technical	technical	ADJ
ajst-24872	66	14	support	support	NOUN
ajst-24872	66	15	,	,	PUNCT
ajst-24872	66	16	complaint	complaint	NOUN
ajst-24872	66	17	handling	handling	NOUN
ajst-24872	66	18	,	,	PUNCT
ajst-24872	66	19	and	and	CCONJ
ajst-24872	66	20	account	account	NOUN
ajst-24872	66	21	management	management	NOUN
ajst-24872	66	22	.	.	PUNCT
ajst-24872	67	1	data	datum	NOUN
ajst-24872	67	2	recorded	record	VERB
ajst-24872	67	3	included	include	VERB
ajst-24872	67	4	response	response	NOUN
ajst-24872	67	5	time	time	NOUN
ajst-24872	67	6	,	,	PUNCT
ajst-24872	67	7	content	content	NOUN
ajst-24872	67	8	length	length	NOUN
ajst-24872	67	9	,	,	PUNCT
ajst-24872	67	10	sentiment	sentiment	NOUN
ajst-24872	67	11	,	,	PUNCT
ajst-24872	67	12	suggestion	suggestion	NOUN
ajst-24872	67	13	quality	quality	NOUN
ajst-24872	67	14	,	,	PUNCT
ajst-24872	67	15	and	and	CCONJ
ajst-24872	67	16	customer	customer	NOUN
ajst-24872	67	17	satisfaction	satisfaction	NOUN
ajst-24872	67	18	.	.	PUNCT
ajst-24872	68	1	customer	customer	NOUN
ajst-24872	68	2	a	a	PRON
ajst-24872	68	3	(	(	PUNCT
ajst-24872	68	4	male	male	ADJ
ajst-24872	68	5	,	,	PUNCT
ajst-24872	68	6	white	white	ADJ
ajst-24872	68	7	,	,	PUNCT
ajst-24872	68	8	28	28	NUM
ajst-24872	68	9	,	,	PUNCT
ajst-24872	68	10	employee	employee	NOUN
ajst-24872	68	11	):	):	PUNCT
ajst-24872	68	12	"	"	PUNCT
ajst-24872	68	13	how	how	SCONJ
ajst-24872	68	14	do	do	AUX
ajst-24872	68	15	i	i	PRON
ajst-24872	68	16	get	get	VERB
ajst-24872	68	17	a	a	DET
ajst-24872	68	18	refund	refund	NOUN
ajst-24872	68	19	?	?	PUNCT
ajst-24872	68	20	"	"	PUNCT
ajst-24872	68	21	robot	robot	NOUN
ajst-24872	68	22	response	response	NOUN
ajst-24872	68	23	:	:	PUNCT
ajst-24872	68	24	"	"	PUNCT
ajst-24872	68	25	please	please	INTJ
ajst-24872	68	26	provide	provide	VERB
ajst-24872	68	27	your	your	PRON
ajst-24872	68	28	order	order	NOUN
ajst-24872	68	29	number	number	NOUN
ajst-24872	68	30	,	,	PUNCT
ajst-24872	68	31	and	and	CCONJ
ajst-24872	68	32	we	we	PRON
ajst-24872	68	33	will	will	AUX
ajst-24872	68	34	process	process	VERB
ajst-24872	68	35	your	your	PRON
ajst-24872	68	36	refund	refund	NOUN
ajst-24872	68	37	as	as	ADV
ajst-24872	68	38	soon	soon	ADV
ajst-24872	68	39	as	as	ADP
ajst-24872	68	40	possible	possible	ADJ
ajst-24872	68	41	.	.	PUNCT
ajst-24872	68	42	"	"	PUNCT
ajst-24872	69	1	response	response	NOUN
ajst-24872	69	2	time	time	NOUN
ajst-24872	69	3	:	:	PUNCT
ajst-24872	69	4	5	5	NUM
ajst-24872	69	5	seconds	second	NOUN
ajst-24872	69	6	,	,	PUNCT
ajst-24872	69	7	content	content	NOUN
ajst-24872	69	8	length	length	NOUN
ajst-24872	69	9	:	:	PUNCT
ajst-24872	69	10	15	15	NUM
ajst-24872	69	11	words	word	NOUN
ajst-24872	69	12	,	,	PUNCT
ajst-24872	69	13	sentiment	sentiment	NOUN
ajst-24872	69	14	:	:	PUNCT
ajst-24872	69	15	neutral	neutral	ADJ
ajst-24872	69	16	,	,	PUNCT
ajst-24872	69	17	suggestion	suggestion	NOUN
ajst-24872	69	18	quality	quality	NOUN
ajst-24872	69	19	:	:	PUNCT
ajst-24872	69	20	high	high	ADJ
ajst-24872	69	21	,	,	PUNCT
ajst-24872	69	22	satisfaction	satisfaction	NOUN
ajst-24872	69	23	:	:	PUNCT
ajst-24872	69	24	4/5	4/5	NUM
ajst-24872	69	25	.	.	PUNCT
ajst-24872	70	1	customer	customer	NOUN
ajst-24872	70	2	b	b	PROPN
ajst-24872	70	3	(	(	PUNCT
ajst-24872	70	4	female	female	ADJ
ajst-24872	70	5	,	,	PUNCT
ajst-24872	70	6	black	black	ADJ
ajst-24872	70	7	,	,	PUNCT
ajst-24872	70	8	35	35	NUM
ajst-24872	70	9	,	,	PUNCT
ajst-24872	70	10	manager	manager	NOUN
ajst-24872	70	11	):	):	PUNCT
ajst-24872	70	12	"	"	PUNCT
ajst-24872	70	13	how	how	SCONJ
ajst-24872	70	14	do	do	AUX
ajst-24872	70	15	i	i	PRON
ajst-24872	70	16	get	get	VERB
ajst-24872	70	17	a	a	DET
ajst-24872	70	18	refund	refund	NOUN
ajst-24872	70	19	?	?	PUNCT
ajst-24872	70	20	"	"	PUNCT
ajst-24872	70	21	robot	robot	NOUN
ajst-24872	70	22	response	response	NOUN
ajst-24872	70	23	:	:	PUNCT
ajst-24872	70	24	"	"	PUNCT
ajst-24872	70	25	please	please	INTJ
ajst-24872	70	26	provide	provide	VERB
ajst-24872	70	27	your	your	PRON
ajst-24872	70	28	order	order	NOUN
ajst-24872	70	29	number	number	NOUN
ajst-24872	70	30	,	,	PUNCT
ajst-24872	70	31	and	and	CCONJ
ajst-24872	70	32	we	we	PRON
ajst-24872	70	33	will	will	AUX
ajst-24872	70	34	process	process	VERB
ajst-24872	70	35	your	your	PRON
ajst-24872	70	36	refund	refund	NOUN
ajst-24872	70	37	as	as	ADV
ajst-24872	70	38	soon	soon	ADV
ajst-24872	70	39	as	as	ADP
ajst-24872	70	40	possible	possible	ADJ
ajst-24872	70	41	.	.	PUNCT
ajst-24872	70	42	"	"	PUNCT
ajst-24872	71	1	response	response	NOUN
ajst-24872	71	2	time	time	NOUN
ajst-24872	71	3	:	:	PUNCT
ajst-24872	71	4	7	7	NUM
ajst-24872	71	5	seconds	second	NOUN
ajst-24872	71	6	,	,	PUNCT
ajst-24872	71	7	content	content	NOUN
ajst-24872	71	8	length	length	NOUN
ajst-24872	71	9	:	:	PUNCT
ajst-24872	71	10	15	15	NUM
ajst-24872	71	11	words	word	NOUN
ajst-24872	71	12	,	,	PUNCT
ajst-24872	71	13	sentiment	sentiment	NOUN
ajst-24872	71	14	:	:	PUNCT
ajst-24872	71	15	neutral	neutral	ADJ
ajst-24872	71	16	,	,	PUNCT
ajst-24872	71	17	suggestion	suggestion	NOUN
ajst-24872	71	18	quality	quality	NOUN
ajst-24872	71	19	:	:	PUNCT
ajst-24872	71	20	medium	medium	ADJ
ajst-24872	71	21	,	,	PUNCT
ajst-24872	71	22	satisfaction	satisfaction	NOUN
ajst-24872	71	23	:	:	PUNCT
ajst-24872	71	24	3/5	3/5	NUM
ajst-24872	71	25	.	.	PUNCT
ajst-24872	72	1	customer	customer	NOUN
ajst-24872	72	2	c	c	PROPN
ajst-24872	72	3	(	(	PUNCT
ajst-24872	72	4	male	male	ADJ
ajst-24872	72	5	,	,	PUNCT
ajst-24872	72	6	asian	asian	ADJ
ajst-24872	72	7	,	,	PUNCT
ajst-24872	72	8	22	22	NUM
ajst-24872	72	9	,	,	PUNCT
ajst-24872	72	10	student	student	NOUN
ajst-24872	72	11	):	):	PUNCT
ajst-24872	72	12	"	"	PUNCT
ajst-24872	72	13	i	i	PRON
ajst-24872	72	14	need	need	VERB
ajst-24872	72	15	technical	technical	ADJ
ajst-24872	72	16	support	support	NOUN
ajst-24872	72	17	to	to	PART
ajst-24872	72	18	resolve	resolve	VERB
ajst-24872	72	19	a	a	DET
ajst-24872	72	20	connection	connection	NOUN
ajst-24872	72	21	issue	issue	NOUN
ajst-24872	72	22	.	.	PUNCT
ajst-24872	72	23	"	"	PUNCT
ajst-24872	73	1	robot	robot	NOUN
ajst-24872	73	2	response	response	NOUN
ajst-24872	73	3	:	:	PUNCT
ajst-24872	73	4	"	"	PUNCT
ajst-24872	73	5	please	please	INTJ
ajst-24872	73	6	restart	restart	VERB
ajst-24872	73	7	your	your	PRON
ajst-24872	73	8	device	device	NOUN
ajst-24872	73	9	and	and	CCONJ
ajst-24872	73	10	check	check	VERB
ajst-24872	73	11	the	the	DET
ajst-24872	73	12	network	network	NOUN
ajst-24872	73	13	settings	setting	NOUN
ajst-24872	73	14	.	.	PUNCT
ajst-24872	74	1	if	if	SCONJ
ajst-24872	74	2	the	the	DET
ajst-24872	74	3	issue	issue	NOUN
ajst-24872	74	4	persists	persist	VERB
ajst-24872	74	5	,	,	PUNCT
ajst-24872	74	6	contact	contact	NOUN
ajst-24872	74	7	technical	technical	ADJ
ajst-24872	74	8	support	support	NOUN
ajst-24872	74	9	.	.	PUNCT
ajst-24872	74	10	"	"	PUNCT
ajst-24872	75	1	response	response	NOUN
ajst-24872	75	2	time	time	NOUN
ajst-24872	75	3	:	:	PUNCT
ajst-24872	75	4	8	8	NUM
ajst-24872	75	5	seconds	second	NOUN
ajst-24872	75	6	,	,	PUNCT
ajst-24872	75	7	content	content	NOUN
ajst-24872	75	8	length	length	NOUN
ajst-24872	75	9	:	:	PUNCT
ajst-24872	75	10	20	20	NUM
ajst-24872	75	11	words	word	NOUN
ajst-24872	75	12	,	,	PUNCT
ajst-24872	75	13	sentiment	sentiment	NOUN
ajst-24872	75	14	:	:	PUNCT
ajst-24872	75	15	positive	positive	ADJ
ajst-24872	75	16	,	,	PUNCT
ajst-24872	75	17	suggestion	suggestion	NOUN
ajst-24872	75	18	quality	quality	NOUN
ajst-24872	75	19	:	:	PUNCT
ajst-24872	75	20	high	high	ADJ
ajst-24872	75	21	,	,	PUNCT
ajst-24872	75	22	satisfaction	satisfaction	NOUN
ajst-24872	75	23	:	:	PUNCT
ajst-24872	75	24	5/5	5/5	NUM
ajst-24872	75	25	.	.	NOUN
ajst-24872	75	26	3.2	3.2	NUM
ajst-24872	75	27	.	.	PUNCT
ajst-24872	76	1	education	education	NOUN
ajst-24872	76	2	robots	robot	NOUN
ajst-24872	76	3	we	we	PRON
ajst-24872	76	4	simulated	simulate	VERB
ajst-24872	76	5	questions	question	NOUN
ajst-24872	76	6	from	from	ADP
ajst-24872	76	7	50	50	NUM
ajst-24872	76	8	students	student	NOUN
ajst-24872	76	9	of	of	ADP
ajst-24872	76	10	diverse	diverse	ADJ
ajst-24872	76	11	backgrounds	background	NOUN
ajst-24872	76	12	to	to	PART
ajst-24872	76	13	observe	observe	VERB
ajst-24872	76	14	potential	potential	ADJ
ajst-24872	76	15	biases	bias	NOUN
ajst-24872	76	16	in	in	ADP
ajst-24872	76	17	robot	robot	NOUN
ajst-24872	76	18	answers	answer	NOUN
ajst-24872	76	19	.	.	PUNCT
ajst-24872	77	1	the	the	DET
ajst-24872	77	2	students	student	NOUN
ajst-24872	77	3	included	include	VERB
ajst-24872	77	4	25	25	NUM
ajst-24872	77	5	males	male	NOUN
ajst-24872	77	6	and	and	CCONJ
ajst-24872	77	7	25	25	NUM
ajst-24872	77	8	females	female	NOUN
ajst-24872	77	9	,	,	PUNCT
ajst-24872	77	10	representing	represent	VERB
ajst-24872	77	11	white	white	ADJ
ajst-24872	77	12	,	,	PUNCT
ajst-24872	77	13	black	black	ADJ
ajst-24872	77	14	,	,	PUNCT
ajst-24872	77	15	asian	asian	ADJ
ajst-24872	77	16	,	,	PUNCT
ajst-24872	77	17	and	and	CCONJ
ajst-24872	77	18	latino	latino	ADJ
ajst-24872	77	19	ethnicities	ethnicity	NOUN
ajst-24872	77	20	,	,	PUNCT
ajst-24872	77	21	with	with	ADP
ajst-24872	77	22	academic	academic	ADJ
ajst-24872	77	23	levels	level	NOUN
ajst-24872	77	24	categorized	categorize	VERB
ajst-24872	77	25	as	as	ADP
ajst-24872	77	26	beginner	beginner	NOUN
ajst-24872	77	27	,	,	PUNCT
ajst-24872	77	28	intermediate	intermediate	ADJ
ajst-24872	77	29	,	,	PUNCT
ajst-24872	77	30	and	and	CCONJ
ajst-24872	77	31	advanced	advanced	ADJ
ajst-24872	77	32	.	.	PUNCT
ajst-24872	78	1	each	each	DET
ajst-24872	78	2	student	student	NOUN
ajst-24872	78	3	asked	ask	VERB
ajst-24872	78	4	questions	question	NOUN
ajst-24872	78	5	related	relate	VERB
ajst-24872	78	6	to	to	ADP
ajst-24872	78	7	mathematics	mathematic	NOUN
ajst-24872	78	8	,	,	PUNCT
ajst-24872	78	9	science	science	NOUN
ajst-24872	78	10	,	,	PUNCT
ajst-24872	78	11	history	history	NOUN
ajst-24872	78	12	,	,	PUNCT
ajst-24872	78	13	languages	language	NOUN
ajst-24872	78	14	,	,	PUNCT
ajst-24872	78	15	and	and	CCONJ
ajst-24872	78	16	arts	art	NOUN
ajst-24872	78	17	.	.	PUNCT
ajst-24872	79	1	data	datum	NOUN
ajst-24872	79	2	recorded	record	VERB
ajst-24872	79	3	included	include	VERB
ajst-24872	79	4	response	response	NOUN
ajst-24872	79	5	accuracy	accuracy	NOUN
ajst-24872	79	6	,	,	PUNCT
ajst-24872	79	7	content	content	NOUN
ajst-24872	79	8	depth	depth	NOUN
ajst-24872	79	9	,	,	PUNCT
ajst-24872	79	10	guidance	guidance	NOUN
ajst-24872	79	11	style	style	NOUN
ajst-24872	79	12	,	,	PUNCT
ajst-24872	79	13	and	and	CCONJ
ajst-24872	79	14	student	student	NOUN
ajst-24872	79	15	satisfaction	satisfaction	NOUN
ajst-24872	79	16	.	.	PUNCT
ajst-24872	80	1	student	student	NOUN
ajst-24872	80	2	d	d	PROPN
ajst-24872	80	3	(	(	PUNCT
ajst-24872	80	4	female	female	ADJ
ajst-24872	80	5	,	,	PUNCT
ajst-24872	80	6	asian	asian	ADJ
ajst-24872	80	7	,	,	PUNCT
ajst-24872	80	8	intermediate	intermediate	ADJ
ajst-24872	80	9	):	):	PUNCT
ajst-24872	80	10	"	"	PUNCT
ajst-24872	80	11	can	can	AUX
ajst-24872	80	12	you	you	PRON
ajst-24872	80	13	explain	explain	VERB
ajst-24872	80	14	photosynthesis	photosynthesis	NOUN
ajst-24872	80	15	?	?	PUNCT
ajst-24872	80	16	"	"	PUNCT
ajst-24872	80	17	robot	robot	NOUN
ajst-24872	80	18	answer	answer	NOUN
ajst-24872	80	19	:	:	PUNCT
ajst-24872	80	20	"	"	PUNCT
ajst-24872	80	21	photosynthesis	photosynthesis	NOUN
ajst-24872	80	22	is	be	AUX
ajst-24872	80	23	the	the	DET
ajst-24872	80	24	process	process	NOUN
ajst-24872	80	25	by	by	ADP
ajst-24872	80	26	which	which	PRON
ajst-24872	80	27	plants	plant	NOUN
ajst-24872	80	28	convert	convert	VERB
ajst-24872	80	29	light	light	ADJ
ajst-24872	80	30	energy	energy	NOUN
ajst-24872	80	31	into	into	ADP
ajst-24872	80	32	chemical	chemical	ADJ
ajst-24872	80	33	energy	energy	NOUN
ajst-24872	80	34	,	,	PUNCT
ajst-24872	80	35	involving	involve	VERB
ajst-24872	80	36	chlorophyll	chlorophyll	NOUN
ajst-24872	80	37	absorbing	absorb	VERB
ajst-24872	80	38	light	light	NOUN
ajst-24872	80	39	,	,	PUNCT
ajst-24872	80	40	and	and	CCONJ
ajst-24872	80	41	converting	convert	VERB
ajst-24872	80	42	water	water	NOUN
ajst-24872	80	43	and	and	CCONJ
ajst-24872	80	44	carbon	carbon	NOUN
ajst-24872	80	45	dioxide	dioxide	NOUN
ajst-24872	80	46	into	into	ADP
ajst-24872	80	47	oxygen	oxygen	NOUN
ajst-24872	80	48	and	and	CCONJ
ajst-24872	80	49	glucose	glucose	NOUN
ajst-24872	80	50	.	.	PUNCT
ajst-24872	80	51	"	"	PUNCT
ajst-24872	80	52	accuracy	accuracy	NOUN
ajst-24872	80	53	:	:	PUNCT
ajst-24872	80	54	90	90	NUM
ajst-24872	80	55	%	%	NOUN
ajst-24872	80	56	,	,	PUNCT
ajst-24872	80	57	content	content	NOUN
ajst-24872	80	58	depth	depth	NOUN
ajst-24872	80	59	:	:	PUNCT
ajst-24872	80	60	high	high	ADJ
ajst-24872	80	61	,	,	PUNCT
ajst-24872	80	62	guidance	guidance	NOUN
ajst-24872	80	63	:	:	PUNCT
ajst-24872	80	64	detailed	detailed	ADJ
ajst-24872	80	65	explanation	explanation	NOUN
ajst-24872	80	66	,	,	PUNCT
ajst-24872	80	67	satisfaction	satisfaction	NOUN
ajst-24872	80	68	:	:	PUNCT
ajst-24872	80	69	4/5	4/5	NUM
ajst-24872	80	70	.	.	PUNCT
ajst-24872	81	1	student	student	NOUN
ajst-24872	81	2	e	e	NOUN
ajst-24872	81	3	(	(	PUNCT
ajst-24872	81	4	male	male	ADJ
ajst-24872	81	5	,	,	PUNCT
ajst-24872	81	6	black	black	ADJ
ajst-24872	81	7	,	,	PUNCT
ajst-24872	81	8	beginner	beginner	NOUN
ajst-24872	81	9	):	):	PUNCT
ajst-24872	81	10	"	"	PUNCT
ajst-24872	81	11	can	can	AUX
ajst-24872	81	12	you	you	PRON
ajst-24872	81	13	explain	explain	VERB
ajst-24872	81	14	photosynthesis	photosynthesis	NOUN
ajst-24872	81	15	?	?	PUNCT
ajst-24872	81	16	"	"	PUNCT
ajst-24872	81	17	robot	robot	NOUN
ajst-24872	81	18	answer	answer	NOUN
ajst-24872	81	19	:	:	PUNCT
ajst-24872	81	20	"	"	PUNCT
ajst-24872	81	21	photosynthesis	photosynthesis	NOUN
ajst-24872	81	22	is	be	AUX
ajst-24872	81	23	the	the	DET
ajst-24872	81	24	process	process	NOUN
ajst-24872	81	25	by	by	ADP
ajst-24872	81	26	which	which	PRON
ajst-24872	81	27	plants	plant	NOUN
ajst-24872	81	28	make	make	VERB
ajst-24872	81	29	food	food	NOUN
ajst-24872	81	30	using	use	VERB
ajst-24872	81	31	light	light	ADJ
ajst-24872	81	32	energy	energy	NOUN
ajst-24872	81	33	.	.	PUNCT
ajst-24872	81	34	"	"	PUNCT
ajst-24872	81	35	accuracy	accuracy	NOUN
ajst-24872	81	36	:	:	PUNCT
ajst-24872	81	37	70	70	NUM
ajst-24872	81	38	%	%	NOUN
ajst-24872	81	39	,	,	PUNCT
ajst-24872	81	40	content	content	NOUN
ajst-24872	81	41	depth	depth	NOUN
ajst-24872	81	42	:	:	PUNCT
ajst-24872	81	43	low	low	ADJ
ajst-24872	81	44	,	,	PUNCT
ajst-24872	81	45	guidance	guidance	NOUN
ajst-24872	81	46	:	:	PUNCT
ajst-24872	81	47	simple	simple	ADJ
ajst-24872	81	48	explanation	explanation	NOUN
ajst-24872	81	49	,	,	PUNCT
ajst-24872	81	50	satisfaction	satisfaction	NOUN
ajst-24872	81	51	:	:	PUNCT
ajst-24872	81	52	3/5	3/5	NUM
ajst-24872	81	53	.	.	PUNCT
ajst-24872	82	1	3.3	3.3	NUM
ajst-24872	82	2	.	.	PUNCT
ajst-24872	83	1	healthcare	healthcare	NOUN
ajst-24872	83	2	robots	robot	NOUN
ajst-24872	83	3	we	we	PRON
ajst-24872	83	4	simulated	simulate	VERB
ajst-24872	83	5	health	health	NOUN
ajst-24872	83	6	consultations	consultation	NOUN
ajst-24872	83	7	from	from	ADP
ajst-24872	83	8	50	50	NUM
ajst-24872	83	9	patients	patient	NOUN
ajst-24872	83	10	of	of	ADP
ajst-24872	83	11	diverse	diverse	ADJ
ajst-24872	83	12	backgrounds	background	NOUN
ajst-24872	83	13	to	to	PART
ajst-24872	83	14	observe	observe	VERB
ajst-24872	83	15	potential	potential	ADJ
ajst-24872	83	16	biases	bias	NOUN
ajst-24872	83	17	in	in	ADP
ajst-24872	83	18	robot	robot	NOUN
ajst-24872	83	19	health	health	NOUN
ajst-24872	83	20	advice	advice	NOUN
ajst-24872	83	21	.	.	PUNCT
ajst-24872	84	1	the	the	DET
ajst-24872	84	2	patients	patient	NOUN
ajst-24872	84	3	included	include	VERB
ajst-24872	84	4	25	25	NUM
ajst-24872	84	5	males	male	NOUN
ajst-24872	84	6	and	and	CCONJ
ajst-24872	84	7	25	25	NUM
ajst-24872	84	8	females	female	NOUN
ajst-24872	84	9	,	,	PUNCT
ajst-24872	84	10	representing	represent	VERB
ajst-24872	84	11	white	white	ADJ
ajst-24872	84	12	,	,	PUNCT
ajst-24872	84	13	black	black	ADJ
ajst-24872	84	14	,	,	PUNCT
ajst-24872	84	15	asian	asian	ADJ
ajst-24872	84	16	,	,	PUNCT
ajst-24872	84	17	and	and	CCONJ
ajst-24872	84	18	latino	latino	ADJ
ajst-24872	84	19	ethnicities	ethnicity	NOUN
ajst-24872	84	20	,	,	PUNCT
ajst-24872	84	21	with	with	SCONJ
ajst-24872	84	22	health	health	NOUN
ajst-24872	84	23	statuses	status	NOUN
ajst-24872	84	24	categorized	categorize	VERB
ajst-24872	84	25	as	as	ADP
ajst-24872	84	26	generally	generally	ADV
ajst-24872	84	27	healthy	healthy	ADJ
ajst-24872	84	28	or	or	CCONJ
ajst-24872	84	29	having	have	VERB
ajst-24872	84	30	chronic	chronic	ADJ
ajst-24872	84	31	conditions	condition	NOUN
ajst-24872	84	32	.	.	PUNCT
ajst-24872	85	1	each	each	DET
ajst-24872	85	2	patient	patient	NOUN
ajst-24872	85	3	asked	ask	VERB
ajst-24872	85	4	questions	question	NOUN
ajst-24872	85	5	related	relate	VERB
ajst-24872	85	6	to	to	ADP
ajst-24872	85	7	common	common	ADJ
ajst-24872	85	8	cold	cold	ADJ
ajst-24872	85	9	,	,	PUNCT
ajst-24872	85	10	allergies	allergy	NOUN
ajst-24872	85	11	,	,	PUNCT
ajst-24872	85	12	diabetes	diabetes	NOUN
ajst-24872	85	13	,	,	PUNCT
ajst-24872	85	14	hypertension	hypertension	NOUN
ajst-24872	85	15	,	,	PUNCT
ajst-24872	85	16	and	and	CCONJ
ajst-24872	85	17	depression	depression	NOUN
ajst-24872	85	18	.	.	PUNCT
ajst-24872	86	1	data	datum	NOUN
ajst-24872	86	2	recorded	record	VERB
ajst-24872	86	3	included	include	VERB
ajst-24872	86	4	advice	advice	NOUN
ajst-24872	86	5	detail	detail	NOUN
ajst-24872	86	6	,	,	PUNCT
ajst-24872	86	7	applicability	applicability	NOUN
ajst-24872	86	8	,	,	PUNCT
ajst-24872	86	9	personalization	personalization	NOUN
ajst-24872	86	10	,	,	PUNCT
ajst-24872	86	11	and	and	CCONJ
ajst-24872	86	12	patient	patient	ADJ
ajst-24872	86	13	satisfaction	satisfaction	NOUN
ajst-24872	86	14	.	.	PUNCT
ajst-24872	87	1	patient	patient	ADJ
ajst-24872	87	2	f	f	PROPN
ajst-24872	87	3	(	(	PUNCT
ajst-24872	87	4	female	female	ADJ
ajst-24872	87	5	,	,	PUNCT
ajst-24872	87	6	white	white	ADJ
ajst-24872	87	7	,	,	PUNCT
ajst-24872	87	8	healthy	healthy	ADJ
ajst-24872	87	9	):	):	PUNCT
ajst-24872	87	10	"	"	PUNCT
ajst-24872	87	11	i	i	PRON
ajst-24872	87	12	have	have	VERB
ajst-24872	87	13	cold	cold	ADJ
ajst-24872	87	14	symptoms	symptom	NOUN
ajst-24872	87	15	,	,	PUNCT
ajst-24872	87	16	what	what	PRON
ajst-24872	87	17	should	should	AUX
ajst-24872	87	18	i	i	PRON
ajst-24872	87	19	do	do	VERB
ajst-24872	87	20	?	?	PUNCT
ajst-24872	87	21	"	"	PUNCT
ajst-24872	87	22	robot	robot	NOUN
ajst-24872	87	23	advice	advice	NOUN
ajst-24872	87	24	:	:	PUNCT
ajst-24872	87	25	"	"	PUNCT
ajst-24872	87	26	rest	rest	VERB
ajst-24872	87	27	and	and	CCONJ
ajst-24872	87	28	drink	drink	VERB
ajst-24872	87	29	plenty	plenty	NOUN
ajst-24872	87	30	of	of	ADP
ajst-24872	87	31	fluids	fluid	NOUN
ajst-24872	87	32	.	.	PUNCT
ajst-24872	88	1	if	if	SCONJ
ajst-24872	88	2	symptoms	symptom	NOUN
ajst-24872	88	3	persist	persist	VERB
ajst-24872	88	4	,	,	PUNCT
ajst-24872	88	5	consult	consult	VERB
ajst-24872	88	6	a	a	DET
ajst-24872	88	7	doctor	doctor	NOUN
ajst-24872	88	8	.	.	PUNCT
ajst-24872	89	1	the	the	DET
ajst-24872	89	2	cold	cold	NOUN
ajst-24872	89	3	usually	usually	ADV
ajst-24872	89	4	improves	improve	VERB
ajst-24872	89	5	88	88	NUM
ajst-24872	89	6	within	within	ADP
ajst-24872	89	7	a	a	DET
ajst-24872	89	8	week	week	NOUN
ajst-24872	89	9	.	.	PUNCT
ajst-24872	89	10	"	"	PUNCT
ajst-24872	90	1	detail	detail	NOUN
ajst-24872	90	2	:	:	PUNCT
ajst-24872	90	3	high	high	ADJ
ajst-24872	90	4	,	,	PUNCT
ajst-24872	90	5	applicability	applicability	NOUN
ajst-24872	90	6	:	:	PUNCT
ajst-24872	90	7	high	high	ADJ
ajst-24872	90	8	,	,	PUNCT
ajst-24872	90	9	personalization	personalization	NOUN
ajst-24872	90	10	:	:	PUNCT
ajst-24872	90	11	low	low	ADJ
ajst-24872	90	12	,	,	PUNCT
ajst-24872	90	13	satisfaction	satisfaction	NOUN
ajst-24872	90	14	:	:	PUNCT
ajst-24872	90	15	4/5	4/5	NUM
ajst-24872	90	16	.	.	PUNCT
ajst-24872	91	1	patient	patient	ADJ
ajst-24872	91	2	g	g	NOUN
ajst-24872	91	3	(	(	PUNCT
ajst-24872	91	4	male	male	ADJ
ajst-24872	91	5	,	,	PUNCT
ajst-24872	91	6	latino	latino	ADJ
ajst-24872	91	7	,	,	PUNCT
ajst-24872	91	8	chronic	chronic	ADJ
ajst-24872	91	9	condition	condition	NOUN
ajst-24872	91	10	):	):	PUNCT
ajst-24872	91	11	"	"	PUNCT
ajst-24872	91	12	i	i	PRON
ajst-24872	91	13	have	have	VERB
ajst-24872	91	14	cold	cold	ADJ
ajst-24872	91	15	symptoms	symptom	NOUN
ajst-24872	91	16	,	,	PUNCT
ajst-24872	91	17	what	what	PRON
ajst-24872	91	18	should	should	AUX
ajst-24872	91	19	i	i	PRON
ajst-24872	91	20	do	do	VERB
ajst-24872	91	21	?	?	PUNCT
ajst-24872	91	22	"	"	PUNCT
ajst-24872	91	23	robot	robot	NOUN
ajst-24872	91	24	advice	advice	NOUN
ajst-24872	91	25	:	:	PUNCT
ajst-24872	91	26	"	"	PUNCT
ajst-24872	91	27	rest	rest	VERB
ajst-24872	91	28	and	and	CCONJ
ajst-24872	91	29	drink	drink	VERB
ajst-24872	91	30	plenty	plenty	NOUN
ajst-24872	91	31	of	of	ADP
ajst-24872	91	32	fluids	fluid	NOUN
ajst-24872	91	33	.	.	PUNCT
ajst-24872	92	1	given	give	VERB
ajst-24872	92	2	your	your	PRON
ajst-24872	92	3	chronic	chronic	ADJ
ajst-24872	92	4	condition	condition	NOUN
ajst-24872	92	5	,	,	PUNCT
ajst-24872	92	6	consult	consult	VERB
ajst-24872	92	7	a	a	DET
ajst-24872	92	8	doctor	doctor	NOUN
ajst-24872	92	9	early	early	ADV
ajst-24872	92	10	to	to	PART
ajst-24872	92	11	ensure	ensure	VERB
ajst-24872	92	12	safety	safety	NOUN
ajst-24872	92	13	.	.	PUNCT
ajst-24872	92	14	"	"	PUNCT
ajst-24872	93	1	detail	detail	NOUN
ajst-24872	93	2	:	:	PUNCT
ajst-24872	93	3	high	high	ADJ
ajst-24872	93	4	,	,	PUNCT
ajst-24872	93	5	applicability	applicability	NOUN
ajst-24872	93	6	:	:	PUNCT
ajst-24872	93	7	high	high	ADJ
ajst-24872	93	8	,	,	PUNCT
ajst-24872	93	9	personalization	personalization	NOUN
ajst-24872	93	10	:	:	PUNCT
ajst-24872	93	11	high	high	ADJ
ajst-24872	93	12	,	,	PUNCT
ajst-24872	93	13	satisfaction	satisfaction	NOUN
ajst-24872	93	14	:	:	PUNCT
ajst-24872	93	15	5/5	5/5	NUM
ajst-24872	93	16	.	.	PUNCT
ajst-24872	93	17	3.4	3.4	NUM
ajst-24872	93	18	.	.	PUNCT
ajst-24872	94	1	recruitment	recruitment	NOUN
ajst-24872	94	2	robots	robot	NOUN
ajst-24872	94	3	we	we	PRON
ajst-24872	94	4	simulated	simulate	VERB
ajst-24872	94	5	interviews	interview	NOUN
ajst-24872	94	6	with	with	ADP
ajst-24872	94	7	30	30	NUM
ajst-24872	94	8	candidates	candidate	NOUN
ajst-24872	94	9	of	of	ADP
ajst-24872	94	10	diverse	diverse	ADJ
ajst-24872	94	11	backgrounds	background	NOUN
ajst-24872	94	12	to	to	PART
ajst-24872	94	13	observe	observe	VERB
ajst-24872	94	14	potential	potential	ADJ
ajst-24872	94	15	biases	bias	NOUN
ajst-24872	94	16	in	in	ADP
ajst-24872	94	17	robot	robot	NOUN
ajst-24872	94	18	evaluations	evaluation	NOUN
ajst-24872	94	19	.	.	PUNCT
ajst-24872	95	1	the	the	DET
ajst-24872	95	2	candidates	candidate	NOUN
ajst-24872	95	3	included	include	VERB
ajst-24872	95	4	15	15	NUM
ajst-24872	95	5	males	male	NOUN
ajst-24872	95	6	and	and	CCONJ
ajst-24872	95	7	15	15	NUM
ajst-24872	95	8	females	female	NOUN
ajst-24872	95	9	,	,	PUNCT
ajst-24872	95	10	representing	represent	VERB
ajst-24872	95	11	white	white	ADJ
ajst-24872	95	12	,	,	PUNCT
ajst-24872	95	13	black	black	ADJ
ajst-24872	95	14	,	,	PUNCT
ajst-24872	95	15	asian	asian	ADJ
ajst-24872	95	16	,	,	PUNCT
ajst-24872	95	17	and	and	CCONJ
ajst-24872	95	18	latino	latino	ADJ
ajst-24872	95	19	ethnicities	ethnicity	NOUN
ajst-24872	95	20	,	,	PUNCT
ajst-24872	95	21	with	with	ADP
ajst-24872	95	22	work	work	NOUN
ajst-24872	95	23	experience	experience	NOUN
ajst-24872	95	24	categorized	categorize	VERB
ajst-24872	95	25	as	as	ADP
ajst-24872	95	26	beginner	beginner	NOUN
ajst-24872	95	27	,	,	PUNCT
ajst-24872	95	28	intermediate	intermediate	ADJ
ajst-24872	95	29	,	,	PUNCT
ajst-24872	95	30	and	and	CCONJ
ajst-24872	95	31	advanced	advanced	ADJ
ajst-24872	95	32	.	.	PUNCT
ajst-24872	96	1	each	each	DET
ajst-24872	96	2	candidate	candidate	NOUN
ajst-24872	96	3	answered	answer	VERB
ajst-24872	96	4	questions	question	NOUN
ajst-24872	96	5	about	about	ADP
ajst-24872	96	6	selfintroduction	selfintroduction	NOUN
ajst-24872	96	7	,	,	PUNCT
ajst-24872	96	8	career	career	NOUN
ajst-24872	96	9	goals	goal	NOUN
ajst-24872	96	10	,	,	PUNCT
ajst-24872	96	11	technical	technical	ADJ
ajst-24872	96	12	issues	issue	NOUN
ajst-24872	96	13	,	,	PUNCT
ajst-24872	96	14	teamwork	teamwork	NOUN
ajst-24872	96	15	,	,	PUNCT
ajst-24872	96	16	and	and	CCONJ
ajst-24872	96	17	problem	problem	NOUN
ajst-24872	96	18	-	-	PUNCT
ajst-24872	96	19	solving	solve	VERB
ajst-24872	96	20	abilities	ability	NOUN
ajst-24872	96	21	.	.	PUNCT
ajst-24872	97	1	data	datum	NOUN
ajst-24872	97	2	recorded	record	VERB
ajst-24872	97	3	included	include	VERB
ajst-24872	97	4	evaluation	evaluation	NOUN
ajst-24872	97	5	detail	detail	NOUN
ajst-24872	97	6	,	,	PUNCT
ajst-24872	97	7	recommendation	recommendation	NOUN
ajst-24872	97	8	level	level	NOUN
ajst-24872	97	9	,	,	PUNCT
ajst-24872	97	10	sentiment	sentiment	NOUN
ajst-24872	97	11	,	,	PUNCT
ajst-24872	97	12	and	and	CCONJ
ajst-24872	97	13	candidate	candidate	NOUN
ajst-24872	97	14	satisfaction	satisfaction	NOUN
ajst-24872	97	15	.	.	PUNCT
ajst-24872	98	1	candidate	candidate	NOUN
ajst-24872	98	2	h	h	NOUN
ajst-24872	98	3	(	(	PUNCT
ajst-24872	98	4	female	female	ADJ
ajst-24872	98	5	,	,	PUNCT
ajst-24872	98	6	asian	asian	ADJ
ajst-24872	98	7	,	,	PUNCT
ajst-24872	98	8	intermediate	intermediate	ADJ
ajst-24872	98	9	):	):	PUNCT
ajst-24872	98	10	"	"	PUNCT
ajst-24872	98	11	please	please	INTJ
ajst-24872	98	12	introduce	introduce	VERB
ajst-24872	98	13	yourself	yourself	PRON
ajst-24872	98	14	.	.	PUNCT
ajst-24872	98	15	"	"	PUNCT
ajst-24872	99	1	robot	robot	NOUN
ajst-24872	99	2	evaluation	evaluation	NOUN
ajst-24872	99	3	:	:	PUNCT
ajst-24872	99	4	"	"	PUNCT
ajst-24872	99	5	the	the	DET
ajst-24872	99	6	candidate	candidate	NOUN
ajst-24872	99	7	has	have	VERB
ajst-24872	99	8	a	a	DET
ajst-24872	99	9	strong	strong	ADJ
ajst-24872	99	10	technical	technical	ADJ
ajst-24872	99	11	background	background	NOUN
ajst-24872	99	12	and	and	CCONJ
ajst-24872	99	13	teamwork	teamwork	NOUN
ajst-24872	99	14	skills	skill	NOUN
ajst-24872	99	15	,	,	PUNCT
ajst-24872	99	16	recommended	recommend	VERB
ajst-24872	99	17	for	for	ADP
ajst-24872	99	18	an	an	DET
ajst-24872	99	19	interview	interview	NOUN
ajst-24872	99	20	.	.	PUNCT
ajst-24872	100	1	she	she	PRON
ajst-24872	100	2	has	have	AUX
ajst-24872	100	3	shown	show	VERB
ajst-24872	100	4	outstanding	outstanding	ADJ
ajst-24872	100	5	performance	performance	NOUN
ajst-24872	100	6	in	in	ADP
ajst-24872	100	7	previous	previous	ADJ
ajst-24872	100	8	jobs	job	NOUN
ajst-24872	100	9	and	and	CCONJ
ajst-24872	100	10	has	have	VERB
ajst-24872	100	11	problem	problem	NOUN
ajst-24872	100	12	-	-	PUNCT
ajst-24872	100	13	solving	solve	VERB
ajst-24872	100	14	capabilities	capability	NOUN
ajst-24872	100	15	.	.	PUNCT
ajst-24872	100	16	"	"	PUNCT
ajst-24872	101	1	detail	detail	NOUN
ajst-24872	101	2	:	:	PUNCT
ajst-24872	101	3	high	high	ADJ
ajst-24872	101	4	,	,	PUNCT
ajst-24872	101	5	recommendation	recommendation	NOUN
ajst-24872	101	6	:	:	PUNCT
ajst-24872	101	7	high	high	ADJ
ajst-24872	101	8	,	,	PUNCT
ajst-24872	101	9	sentiment	sentiment	NOUN
ajst-24872	101	10	:	:	PUNCT
ajst-24872	101	11	positive	positive	ADJ
ajst-24872	101	12	,	,	PUNCT
ajst-24872	101	13	satisfaction	satisfaction	NOUN
ajst-24872	101	14	:	:	PUNCT
ajst-24872	101	15	4/5	4/5	NUM
ajst-24872	101	16	.	.	PUNCT
ajst-24872	102	1	candidate	candidate	NOUN
ajst-24872	103	1	i	i	PRON
ajst-24872	103	2	(	(	PUNCT
ajst-24872	103	3	male	male	ADJ
ajst-24872	103	4	,	,	PUNCT
ajst-24872	103	5	black	black	ADJ
ajst-24872	103	6	,	,	PUNCT
ajst-24872	103	7	beginner	beginner	NOUN
ajst-24872	103	8	):	):	PUNCT
ajst-24872	103	9	"	"	PUNCT
ajst-24872	103	10	please	please	INTJ
ajst-24872	103	11	introduce	introduce	VERB
ajst-24872	103	12	yourself	yourself	PRON
ajst-24872	103	13	.	.	PUNCT
ajst-24872	103	14	"	"	PUNCT
ajst-24872	104	1	robot	robot	NOUN
ajst-24872	104	2	evaluation	evaluation	NOUN
ajst-24872	104	3	:	:	PUNCT
ajst-24872	104	4	"	"	PUNCT
ajst-24872	104	5	the	the	DET
ajst-24872	104	6	candidate	candidate	NOUN
ajst-24872	104	7	has	have	VERB
ajst-24872	104	8	basic	basic	ADJ
ajst-24872	104	9	technical	technical	ADJ
ajst-24872	104	10	knowledge	knowledge	NOUN
ajst-24872	104	11	,	,	PUNCT
ajst-24872	104	12	recommended	recommend	VERB
ajst-24872	104	13	for	for	ADP
ajst-24872	104	14	further	further	ADJ
ajst-24872	104	15	consideration	consideration	NOUN
ajst-24872	104	16	.	.	PUNCT
ajst-24872	105	1	his	his	PRON
ajst-24872	105	2	project	project	NOUN
ajst-24872	105	3	experience	experience	NOUN
ajst-24872	105	4	is	be	AUX
ajst-24872	105	5	limited	limit	VERB
ajst-24872	105	6	,	,	PUNCT
ajst-24872	105	7	but	but	CCONJ
ajst-24872	105	8	he	he	PRON
ajst-24872	105	9	shows	show	VERB
ajst-24872	105	10	eagerness	eagerness	NOUN
ajst-24872	105	11	to	to	PART
ajst-24872	105	12	learn	learn	VERB
ajst-24872	105	13	.	.	PUNCT
ajst-24872	105	14	"	"	PUNCT
ajst-24872	106	1	detail	detail	NOUN
ajst-24872	106	2	:	:	PUNCT
ajst-24872	106	3	medium	medium	ADJ
ajst-24872	106	4	,	,	PUNCT
ajst-24872	106	5	recommendation	recommendation	NOUN
ajst-24872	106	6	:	:	PUNCT
ajst-24872	106	7	medium	medium	ADJ
ajst-24872	106	8	,	,	PUNCT
ajst-24872	106	9	sentiment	sentiment	NOUN
ajst-24872	106	10	:	:	PUNCT
ajst-24872	106	11	neutral	neutral	ADJ
ajst-24872	106	12	,	,	PUNCT
ajst-24872	106	13	satisfaction	satisfaction	NOUN
ajst-24872	106	14	:	:	PUNCT
ajst-24872	106	15	3/5	3/5	NUM
ajst-24872	106	16	.	.	PUNCT
ajst-24872	107	1	3.5	3.5	NUM
ajst-24872	107	2	.	.	PUNCT
ajst-24872	108	1	social	social	ADJ
ajst-24872	108	2	robots	robot	NOUN
ajst-24872	108	3	we	we	PRON
ajst-24872	108	4	simulated	simulate	VERB
ajst-24872	108	5	daily	daily	ADJ
ajst-24872	108	6	conversations	conversation	NOUN
ajst-24872	108	7	with	with	ADP
ajst-24872	108	8	40	40	NUM
ajst-24872	108	9	users	user	NOUN
ajst-24872	108	10	of	of	ADP
ajst-24872	108	11	diverse	diverse	ADJ
ajst-24872	108	12	backgrounds	background	NOUN
ajst-24872	108	13	to	to	PART
ajst-24872	108	14	observe	observe	VERB
ajst-24872	108	15	potential	potential	ADJ
ajst-24872	108	16	biases	bias	NOUN
ajst-24872	108	17	in	in	ADP
ajst-24872	108	18	robot	robot	NOUN
ajst-24872	108	19	responses	response	NOUN
ajst-24872	108	20	.	.	PUNCT
ajst-24872	109	1	the	the	DET
ajst-24872	109	2	users	user	NOUN
ajst-24872	109	3	included	include	VERB
ajst-24872	109	4	20	20	NUM
ajst-24872	109	5	males	male	NOUN
ajst-24872	109	6	and	and	CCONJ
ajst-24872	109	7	20	20	NUM
ajst-24872	109	8	females	female	NOUN
ajst-24872	109	9	,	,	PUNCT
ajst-24872	109	10	representing	represent	VERB
ajst-24872	109	11	white	white	ADJ
ajst-24872	109	12	,	,	PUNCT
ajst-24872	109	13	black	black	ADJ
ajst-24872	109	14	,	,	PUNCT
ajst-24872	109	15	asian	asian	ADJ
ajst-24872	109	16	,	,	PUNCT
ajst-24872	109	17	and	and	CCONJ
ajst-24872	109	18	latino	latino	ADJ
ajst-24872	109	19	ethnicities	ethnicity	NOUN
ajst-24872	109	20	,	,	PUNCT
ajst-24872	109	21	with	with	ADP
ajst-24872	109	22	social	social	ADJ
ajst-24872	109	23	statuses	status	NOUN
ajst-24872	109	24	categorized	categorize	VERB
ajst-24872	109	25	as	as	ADP
ajst-24872	109	26	students	student	NOUN
ajst-24872	109	27	,	,	PUNCT
ajst-24872	109	28	employees	employee	NOUN
ajst-24872	109	29	,	,	PUNCT
ajst-24872	109	30	and	and	CCONJ
ajst-24872	109	31	managers	manager	NOUN
ajst-24872	109	32	.	.	PUNCT
ajst-24872	110	1	each	each	DET
ajst-24872	110	2	user	user	NOUN
ajst-24872	110	3	engaged	engage	VERB
ajst-24872	110	4	in	in	ADP
ajst-24872	110	5	conversations	conversation	NOUN
ajst-24872	110	6	on	on	ADP
ajst-24872	110	7	topics	topic	NOUN
ajst-24872	110	8	such	such	ADJ
ajst-24872	110	9	as	as	ADP
ajst-24872	110	10	weather	weather	NOUN
ajst-24872	110	11	,	,	PUNCT
ajst-24872	110	12	news	news	NOUN
ajst-24872	110	13	,	,	PUNCT
ajst-24872	110	14	entertainment	entertainment	NOUN
ajst-24872	110	15	,	,	PUNCT
ajst-24872	110	16	travel	travel	NOUN
ajst-24872	110	17	,	,	PUNCT
ajst-24872	110	18	and	and	CCONJ
ajst-24872	110	19	personal	personal	ADJ
ajst-24872	110	20	interests	interest	NOUN
ajst-24872	110	21	.	.	PUNCT
ajst-24872	111	1	data	datum	NOUN
ajst-24872	111	2	recorded	record	VERB
ajst-24872	111	3	included	include	VERB
ajst-24872	111	4	friendliness	friendliness	ADJ
ajst-24872	111	5	,	,	PUNCT
ajst-24872	111	6	content	content	NOUN
ajst-24872	111	7	richness	richness	NOUN
ajst-24872	111	8	,	,	PUNCT
ajst-24872	111	9	personalization	personalization	NOUN
ajst-24872	111	10	,	,	PUNCT
ajst-24872	111	11	and	and	CCONJ
ajst-24872	111	12	user	user	NOUN
ajst-24872	111	13	satisfaction	satisfaction	NOUN
ajst-24872	111	14	.	.	PUNCT
ajst-24872	112	1	user	user	PROPN
ajst-24872	112	2	j	j	PROPN
ajst-24872	112	3	(	(	PUNCT
ajst-24872	112	4	male	male	ADJ
ajst-24872	112	5	,	,	PUNCT
ajst-24872	112	6	white	white	ADJ
ajst-24872	112	7	,	,	PUNCT
ajst-24872	112	8	employee	employee	NOUN
ajst-24872	112	9	):	):	PUNCT
ajst-24872	112	10	"	"	PUNCT
ajst-24872	112	11	how	how	SCONJ
ajst-24872	112	12	's	be	AUX
ajst-24872	112	13	the	the	DET
ajst-24872	112	14	weather	weather	NOUN
ajst-24872	112	15	today	today	NOUN
ajst-24872	112	16	?	?	PUNCT
ajst-24872	112	17	"	"	PUNCT
ajst-24872	112	18	robot	robot	NOUN
ajst-24872	112	19	response	response	NOUN
ajst-24872	112	20	:	:	PUNCT
ajst-24872	112	21	"	"	PUNCT
ajst-24872	112	22	the	the	DET
ajst-24872	112	23	weather	weather	NOUN
ajst-24872	112	24	is	be	AUX
ajst-24872	112	25	sunny	sunny	ADJ
ajst-24872	112	26	today	today	NOUN
ajst-24872	112	27	,	,	PUNCT
ajst-24872	112	28	perfect	perfect	ADJ
ajst-24872	112	29	for	for	ADP
ajst-24872	112	30	outdoor	outdoor	ADJ
ajst-24872	112	31	activities	activity	NOUN
ajst-24872	112	32	.	.	PUNCT
ajst-24872	113	1	do	do	AUX
ajst-24872	113	2	you	you	PRON
ajst-24872	113	3	have	have	VERB
ajst-24872	113	4	any	any	DET
ajst-24872	113	5	plans	plan	NOUN
ajst-24872	113	6	?	?	PUNCT
ajst-24872	113	7	"	"	PUNCT
ajst-24872	113	8	friendliness	friendliness	ADJ
ajst-24872	113	9	:	:	PUNCT
ajst-24872	113	10	high	high	ADJ
ajst-24872	113	11	,	,	PUNCT
ajst-24872	113	12	content	content	NOUN
ajst-24872	113	13	richness	richness	NOUN
ajst-24872	113	14	:	:	PUNCT
ajst-24872	113	15	high	high	ADJ
ajst-24872	113	16	,	,	PUNCT
ajst-24872	113	17	personalization	personalization	NOUN
ajst-24872	113	18	:	:	PUNCT
ajst-24872	113	19	high	high	ADJ
ajst-24872	113	20	,	,	PUNCT
ajst-24872	113	21	satisfaction	satisfaction	NOUN
ajst-24872	113	22	:	:	PUNCT
ajst-24872	114	1	5/5	5/5	NUM
ajst-24872	114	2	.	.	PUNCT
ajst-24872	115	1	user	user	PROPN
ajst-24872	115	2	k	k	PROPN
ajst-24872	115	3	(	(	PUNCT
ajst-24872	115	4	female	female	ADJ
ajst-24872	115	5	,	,	PUNCT
ajst-24872	115	6	black	black	ADJ
ajst-24872	115	7	,	,	PUNCT
ajst-24872	115	8	student	student	NOUN
ajst-24872	115	9	):	):	PUNCT
ajst-24872	115	10	"	"	PUNCT
ajst-24872	115	11	how	how	SCONJ
ajst-24872	115	12	's	be	AUX
ajst-24872	115	13	the	the	DET
ajst-24872	115	14	weather	weather	NOUN
ajst-24872	115	15	today	today	NOUN
ajst-24872	115	16	?	?	PUNCT
ajst-24872	115	17	"	"	PUNCT
ajst-24872	115	18	robot	robot	NOUN
ajst-24872	115	19	response	response	NOUN
ajst-24872	115	20	:	:	PUNCT
ajst-24872	115	21	"	"	PUNCT
ajst-24872	115	22	the	the	DET
ajst-24872	115	23	weather	weather	NOUN
ajst-24872	115	24	is	be	AUX
ajst-24872	115	25	sunny	sunny	ADJ
ajst-24872	115	26	today	today	NOUN
ajst-24872	115	27	.	.	PUNCT
ajst-24872	115	28	"	"	PUNCT
ajst-24872	116	1	friendliness	friendliness	ADJ
ajst-24872	116	2	:	:	PUNCT
ajst-24872	116	3	medium	medium	ADJ
ajst-24872	116	4	,	,	PUNCT
ajst-24872	116	5	content	content	NOUN
ajst-24872	116	6	richness	richness	NOUN
ajst-24872	116	7	:	:	PUNCT
ajst-24872	116	8	low	low	ADJ
ajst-24872	116	9	,	,	PUNCT
ajst-24872	116	10	personalization	personalization	NOUN
ajst-24872	116	11	:	:	PUNCT
ajst-24872	116	12	low	low	ADJ
ajst-24872	116	13	,	,	PUNCT
ajst-24872	116	14	satisfaction	satisfaction	NOUN
ajst-24872	116	15	:	:	PUNCT
ajst-24872	116	16	3/5	3/5	NUM
ajst-24872	116	17	.	.	PUNCT
ajst-24872	117	1	these	these	DET
ajst-24872	117	2	experimental	experimental	ADJ
ajst-24872	117	3	scenarios	scenario	NOUN
ajst-24872	117	4	allow	allow	VERB
ajst-24872	117	5	us	we	PRON
ajst-24872	117	6	to	to	PART
ajst-24872	117	7	comprehensively	comprehensively	ADV
ajst-24872	117	8	analyze	analyze	VERB
ajst-24872	117	9	biased	biased	ADJ
ajst-24872	117	10	behaviors	behavior	NOUN
ajst-24872	117	11	in	in	ADP
ajst-24872	117	12	llm	llm	NOUN
ajst-24872	117	13	-	-	PUNCT
ajst-24872	117	14	based	base	VERB
ajst-24872	117	15	robots	robot	NOUN
ajst-24872	117	16	across	across	ADP
ajst-24872	117	17	different	different	ADJ
ajst-24872	117	18	contexts	contexts	NOUN
ajst-24872	117	19	,	,	PUNCT
ajst-24872	117	20	validating	validate	VERB
ajst-24872	117	21	the	the	DET
ajst-24872	117	22	effectiveness	effectiveness	NOUN
ajst-24872	117	23	of	of	ADP
ajst-24872	117	24	various	various	ADJ
ajst-24872	117	25	bias	bias	NOUN
ajst-24872	117	26	detection	detection	NOUN
ajst-24872	117	27	and	and	CCONJ
ajst-24872	117	28	mitigation	mitigation	NOUN
ajst-24872	117	29	methods	method	NOUN
ajst-24872	117	30	and	and	CCONJ
ajst-24872	117	31	providing	provide	VERB
ajst-24872	117	32	valuable	valuable	ADJ
ajst-24872	117	33	insights	insight	NOUN
ajst-24872	117	34	for	for	ADP
ajst-24872	117	35	future	future	ADJ
ajst-24872	117	36	robot	robot	NOUN
ajst-24872	117	37	design	design	NOUN
ajst-24872	117	38	.	.	PUNCT
ajst-24872	118	1	4	4	X
ajst-24872	118	2	.	.	NOUN
ajst-24872	118	3	results	result	NOUN
ajst-24872	118	4	and	and	CCONJ
ajst-24872	118	5	discussion	discussion	NOUN
ajst-24872	118	6	4.1	4.1	NUM
ajst-24872	118	7	.	.	PUNCT
ajst-24872	119	1	experimental	experimental	ADJ
ajst-24872	119	2	results	result	NOUN
ajst-24872	119	3	presentation	presentation	VERB
ajst-24872	119	4	our	our	PRON
ajst-24872	119	5	study	study	NOUN
ajst-24872	119	6	validated	validate	VERB
ajst-24872	119	7	the	the	DET
ajst-24872	119	8	effectiveness	effectiveness	NOUN
ajst-24872	119	9	of	of	ADP
ajst-24872	119	10	different	different	ADJ
ajst-24872	119	11	bias	bias	NOUN
ajst-24872	119	12	detection	detection	NOUN
ajst-24872	119	13	and	and	CCONJ
ajst-24872	119	14	mitigation	mitigation	NOUN
ajst-24872	119	15	methods	method	NOUN
ajst-24872	119	16	through	through	ADP
ajst-24872	119	17	five	five	NUM
ajst-24872	119	18	experimental	experimental	ADJ
ajst-24872	119	19	scenarios	scenario	NOUN
ajst-24872	119	20	,	,	PUNCT
ajst-24872	119	21	collecting	collect	VERB
ajst-24872	119	22	detailed	detailed	ADJ
ajst-24872	119	23	data	datum	NOUN
ajst-24872	119	24	in	in	ADP
ajst-24872	119	25	each	each	DET
ajst-24872	119	26	case	case	NOUN
ajst-24872	119	27	.	.	PUNCT
ajst-24872	120	1	below	below	ADV
ajst-24872	120	2	,	,	PUNCT
ajst-24872	120	3	we	we	PRON
ajst-24872	120	4	present	present	VERB
ajst-24872	120	5	and	and	CCONJ
ajst-24872	120	6	analyze	analyze	VERB
ajst-24872	120	7	the	the	DET
ajst-24872	120	8	specific	specific	ADJ
ajst-24872	120	9	results	result	NOUN
ajst-24872	120	10	from	from	ADP
ajst-24872	120	11	each	each	DET
ajst-24872	120	12	scenario	scenario	NOUN
ajst-24872	120	13	.	.	PUNCT
ajst-24872	121	1			ADJ
ajst-24872	121	2	customer	customer	NOUN
ajst-24872	121	3	service	service	NOUN
ajst-24872	121	4	robots	robot	NOUN
ajst-24872	121	5	in	in	ADP
ajst-24872	121	6	the	the	DET
ajst-24872	121	7	customer	customer	NOUN
ajst-24872	121	8	service	service	NOUN
ajst-24872	121	9	scenario	scenario	NOUN
ajst-24872	121	10	,	,	PUNCT
ajst-24872	121	11	data	datum	NOUN
ajst-24872	121	12	was	be	AUX
ajst-24872	121	13	collected	collect	VERB
ajst-24872	121	14	from	from	ADP
ajst-24872	121	15	100	100	NUM
ajst-24872	121	16	customer	customer	NOUN
ajst-24872	121	17	interactions	interaction	NOUN
ajst-24872	121	18	,	,	PUNCT
ajst-24872	121	19	covering	cover	VERB
ajst-24872	121	20	various	various	ADJ
ajst-24872	121	21	genders	gender	NOUN
ajst-24872	121	22	,	,	PUNCT
ajst-24872	121	23	races	race	NOUN
ajst-24872	121	24	,	,	PUNCT
ajst-24872	121	25	ages	age	NOUN
ajst-24872	121	26	,	,	PUNCT
ajst-24872	121	27	and	and	CCONJ
ajst-24872	121	28	professional	professional	ADJ
ajst-24872	121	29	backgrounds	background	NOUN
ajst-24872	121	30	.	.	PUNCT
ajst-24872	122	1	the	the	DET
ajst-24872	122	2	results	result	NOUN
ajst-24872	122	3	showed	show	VERB
ajst-24872	122	4	that	that	SCONJ
ajst-24872	122	5	the	the	DET
ajst-24872	122	6	average	average	ADJ
ajst-24872	122	7	response	response	NOUN
ajst-24872	122	8	time	time	NOUN
ajst-24872	122	9	for	for	ADP
ajst-24872	122	10	male	male	ADJ
ajst-24872	122	11	customers	customer	NOUN
ajst-24872	122	12	was	be	AUX
ajst-24872	122	13	6	6	NUM
ajst-24872	122	14	seconds	second	NOUN
ajst-24872	122	15	,	,	PUNCT
ajst-24872	122	16	while	while	SCONJ
ajst-24872	122	17	for	for	ADP
ajst-24872	122	18	female	female	ADJ
ajst-24872	122	19	customers	customer	NOUN
ajst-24872	122	20	it	it	PRON
ajst-24872	122	21	was	be	AUX
ajst-24872	122	22	7	7	NUM
ajst-24872	122	23	seconds	second	NOUN
ajst-24872	122	24	.	.	PUNCT
ajst-24872	123	1	the	the	DET
ajst-24872	123	2	average	average	ADJ
ajst-24872	123	3	satisfaction	satisfaction	NOUN
ajst-24872	123	4	score	score	NOUN
ajst-24872	123	5	was	be	AUX
ajst-24872	123	6	4.2	4.2	NUM
ajst-24872	123	7	for	for	ADP
ajst-24872	123	8	white	white	ADJ
ajst-24872	123	9	customers	customer	NOUN
ajst-24872	123	10	,	,	PUNCT
ajst-24872	123	11	3.5	3.5	NUM
ajst-24872	123	12	for	for	ADP
ajst-24872	123	13	black	black	ADJ
ajst-24872	123	14	customers	customer	NOUN
ajst-24872	123	15	,	,	PUNCT
ajst-24872	123	16	4.0	4.0	NUM
ajst-24872	123	17	for	for	ADP
ajst-24872	123	18	asian	asian	ADJ
ajst-24872	123	19	customers	customer	NOUN
ajst-24872	123	20	,	,	PUNCT
ajst-24872	123	21	and	and	CCONJ
ajst-24872	123	22	3.8	3.8	NUM
ajst-24872	123	23	for	for	ADP
ajst-24872	123	24	latino	latino	ADJ
ajst-24872	123	25	customers	customer	NOUN
ajst-24872	123	26	.	.	PUNCT
ajst-24872	124	1	customer	customer	NOUN
ajst-24872	124	2	a	a	PRON
ajst-24872	124	3	(	(	PUNCT
ajst-24872	124	4	male	male	ADJ
ajst-24872	124	5	,	,	PUNCT
ajst-24872	124	6	white	white	ADJ
ajst-24872	124	7	,	,	PUNCT
ajst-24872	124	8	28	28	NUM
ajst-24872	124	9	,	,	PUNCT
ajst-24872	124	10	employee	employee	NOUN
ajst-24872	124	11	):	):	PUNCT
ajst-24872	124	12	"	"	PUNCT
ajst-24872	124	13	how	how	SCONJ
ajst-24872	124	14	do	do	AUX
ajst-24872	124	15	i	i	PRON
ajst-24872	124	16	get	get	VERB
ajst-24872	124	17	a	a	DET
ajst-24872	124	18	refund	refund	NOUN
ajst-24872	124	19	?	?	PUNCT
ajst-24872	124	20	"	"	PUNCT
ajst-24872	124	21	satisfaction	satisfaction	NOUN
ajst-24872	124	22	score	score	NOUN
ajst-24872	124	23	:	:	PUNCT
ajst-24872	124	24	4/5	4/5	NUM
ajst-24872	124	25	customer	customer	NOUN
ajst-24872	124	26	b	b	NOUN
ajst-24872	124	27	(	(	PUNCT
ajst-24872	124	28	female	female	ADJ
ajst-24872	124	29	,	,	PUNCT
ajst-24872	124	30	black	black	ADJ
ajst-24872	124	31	,	,	PUNCT
ajst-24872	124	32	35	35	NUM
ajst-24872	124	33	,	,	PUNCT
ajst-24872	124	34	manager	manager	NOUN
ajst-24872	124	35	):	):	PUNCT
ajst-24872	124	36	"	"	PUNCT
ajst-24872	124	37	how	how	SCONJ
ajst-24872	124	38	do	do	AUX
ajst-24872	124	39	i	i	PRON
ajst-24872	124	40	get	get	VERB
ajst-24872	124	41	a	a	DET
ajst-24872	124	42	refund	refund	NOUN
ajst-24872	124	43	?	?	PUNCT
ajst-24872	124	44	"	"	PUNCT
ajst-24872	124	45	satisfaction	satisfaction	NOUN
ajst-24872	124	46	score	score	NOUN
ajst-24872	124	47	:	:	PUNCT
ajst-24872	124	48	3/5	3/5	NUM
ajst-24872	124	49	customer	customer	NOUN
ajst-24872	124	50	c	c	NOUN
ajst-24872	124	51	(	(	PUNCT
ajst-24872	124	52	male	male	ADJ
ajst-24872	124	53	,	,	PUNCT
ajst-24872	124	54	asian	asian	ADJ
ajst-24872	124	55	,	,	PUNCT
ajst-24872	124	56	22	22	NUM
ajst-24872	124	57	,	,	PUNCT
ajst-24872	124	58	student	student	NOUN
ajst-24872	124	59	):	):	PUNCT
ajst-24872	124	60	"	"	PUNCT
ajst-24872	124	61	technical	technical	ADJ
ajst-24872	124	62	support	support	NOUN
ajst-24872	124	63	,	,	PUNCT
ajst-24872	124	64	please	please	INTJ
ajst-24872	124	65	help	help	VERB
ajst-24872	124	66	me	i	PRON
ajst-24872	124	67	resolve	resolve	VERB
ajst-24872	124	68	a	a	DET
ajst-24872	124	69	connection	connection	NOUN
ajst-24872	124	70	issue	issue	NOUN
ajst-24872	124	71	.	.	PUNCT
ajst-24872	124	72	"	"	PUNCT
ajst-24872	125	1	satisfaction	satisfaction	NOUN
ajst-24872	125	2	score	score	NOUN
ajst-24872	125	3	:	:	PUNCT
ajst-24872	125	4	5/5	5/5	NUM
ajst-24872	125	5			ADJ
ajst-24872	125	6	education	education	NOUN
ajst-24872	125	7	robots	robot	NOUN
ajst-24872	125	8	in	in	ADP
ajst-24872	125	9	the	the	DET
ajst-24872	125	10	education	education	NOUN
ajst-24872	125	11	scenario	scenario	NOUN
ajst-24872	125	12	,	,	PUNCT
ajst-24872	125	13	data	datum	NOUN
ajst-24872	125	14	from	from	ADP
ajst-24872	125	15	50	50	NUM
ajst-24872	125	16	student	student	NOUN
ajst-24872	125	17	inquiries	inquiry	NOUN
ajst-24872	125	18	revealed	reveal	VERB
ajst-24872	125	19	differences	difference	NOUN
ajst-24872	125	20	in	in	ADP
ajst-24872	125	21	responses	response	NOUN
ajst-24872	125	22	based	base	VERB
ajst-24872	125	23	on	on	ADP
ajst-24872	125	24	student	student	NOUN
ajst-24872	125	25	backgrounds	background	NOUN
ajst-24872	125	26	.	.	PUNCT
ajst-24872	126	1	the	the	DET
ajst-24872	126	2	average	average	ADJ
ajst-24872	126	3	accuracy	accuracy	NOUN
ajst-24872	126	4	of	of	ADP
ajst-24872	126	5	answers	answer	NOUN
ajst-24872	126	6	was	be	AUX
ajst-24872	126	7	92	92	NUM
ajst-24872	126	8	%	%	NOUN
ajst-24872	126	9	for	for	ADP
ajst-24872	126	10	white	white	ADJ
ajst-24872	126	11	students	student	NOUN
ajst-24872	126	12	,	,	PUNCT
ajst-24872	126	13	85	85	NUM
ajst-24872	126	14	%	%	NOUN
ajst-24872	126	15	for	for	ADP
ajst-24872	126	16	black	black	ADJ
ajst-24872	126	17	students	student	NOUN
ajst-24872	126	18	,	,	PUNCT
ajst-24872	126	19	88	88	NUM
ajst-24872	126	20	%	%	NOUN
ajst-24872	126	21	for	for	ADP
ajst-24872	126	22	asian	asian	ADJ
ajst-24872	126	23	students	student	NOUN
ajst-24872	126	24	,	,	PUNCT
ajst-24872	126	25	and	and	CCONJ
ajst-24872	126	26	86	86	NUM
ajst-24872	126	27	%	%	NOUN
ajst-24872	126	28	for	for	ADP
ajst-24872	126	29	latino	latino	ADJ
ajst-24872	126	30	students	student	NOUN
ajst-24872	126	31	.	.	PUNCT
ajst-24872	127	1	the	the	DET
ajst-24872	127	2	highest	high	ADJ
ajst-24872	127	3	satisfaction	satisfaction	NOUN
ajst-24872	127	4	scores	score	NOUN
ajst-24872	127	5	were	be	AUX
ajst-24872	127	6	from	from	ADP
ajst-24872	127	7	advanced	advanced	ADJ
ajst-24872	127	8	students	student	NOUN
ajst-24872	127	9	at	at	ADP
ajst-24872	127	10	4.8/5	4.8/5	NUM
ajst-24872	127	11	,	,	PUNCT
ajst-24872	127	12	while	while	SCONJ
ajst-24872	127	13	the	the	DET
ajst-24872	127	14	lowest	low	ADJ
ajst-24872	127	15	were	be	AUX
ajst-24872	127	16	from	from	ADP
ajst-24872	127	17	beginner	beginner	NOUN
ajst-24872	127	18	students	student	NOUN
ajst-24872	127	19	at	at	ADP
ajst-24872	127	20	3.5/5	3.5/5	NUM
ajst-24872	127	21	.	.	PUNCT
ajst-24872	127	22	student	student	NOUN
ajst-24872	127	23	e	e	PROPN
ajst-24872	127	24	(	(	PUNCT
ajst-24872	127	25	female	female	ADJ
ajst-24872	127	26	,	,	PUNCT
ajst-24872	127	27	asian	asian	ADJ
ajst-24872	127	28	,	,	PUNCT
ajst-24872	127	29	intermediate	intermediate	ADJ
ajst-24872	127	30	):	):	PUNCT
ajst-24872	127	31	"	"	PUNCT
ajst-24872	127	32	can	can	AUX
ajst-24872	127	33	you	you	PRON
ajst-24872	127	34	explain	explain	VERB
ajst-24872	127	35	photosynthesis	photosynthesis	NOUN
ajst-24872	127	36	?	?	PUNCT
ajst-24872	127	37	"	"	PUNCT
ajst-24872	127	38	satisfaction	satisfaction	NOUN
ajst-24872	127	39	score	score	NOUN
ajst-24872	127	40	:	:	PUNCT
ajst-24872	127	41	4/5	4/5	NUM
ajst-24872	127	42	student	student	NOUN
ajst-24872	127	43	f	f	NOUN
ajst-24872	127	44	(	(	PUNCT
ajst-24872	127	45	male	male	ADJ
ajst-24872	127	46	,	,	PUNCT
ajst-24872	127	47	black	black	ADJ
ajst-24872	127	48	,	,	PUNCT
ajst-24872	127	49	beginner	beginner	NOUN
ajst-24872	127	50	):	):	PUNCT
ajst-24872	127	51	"	"	PUNCT
ajst-24872	127	52	can	can	AUX
ajst-24872	127	53	you	you	PRON
ajst-24872	127	54	explain	explain	VERB
ajst-24872	127	55	photosynthesis	photosynthesis	NOUN
ajst-24872	127	56	?	?	PUNCT
ajst-24872	127	57	"	"	PUNCT
ajst-24872	128	1	satisfaction	satisfaction	NOUN
ajst-24872	128	2	score	score	NOUN
ajst-24872	128	3	:	:	PUNCT
ajst-24872	128	4	3/5	3/5	NUM
ajst-24872	128	5			ADJ
ajst-24872	128	6	healthcare	healthcare	NOUN
ajst-24872	128	7	robots	robot	NOUN
ajst-24872	128	8	in	in	ADP
ajst-24872	128	9	the	the	DET
ajst-24872	128	10	healthcare	healthcare	PROPN
ajst-24872	128	11	scenario	scenario	PROPN
ajst-24872	128	12	,	,	PUNCT
ajst-24872	128	13	data	datum	NOUN
ajst-24872	128	14	from	from	ADP
ajst-24872	128	15	50	50	NUM
ajst-24872	128	16	patient	patient	NOUN
ajst-24872	128	17	consultations	consultation	NOUN
ajst-24872	128	18	indicated	indicate	VERB
ajst-24872	128	19	that	that	SCONJ
ajst-24872	128	20	the	the	DET
ajst-24872	128	21	level	level	NOUN
ajst-24872	128	22	of	of	ADP
ajst-24872	128	23	detail	detail	NOUN
ajst-24872	128	24	and	and	CCONJ
ajst-24872	128	25	personalization	personalization	NOUN
ajst-24872	128	26	in	in	ADP
ajst-24872	128	27	advice	advice	NOUN
ajst-24872	128	28	given	give	VERB
ajst-24872	128	29	to	to	ADP
ajst-24872	128	30	male	male	ADJ
ajst-24872	128	31	patients	patient	NOUN
ajst-24872	128	32	was	be	AUX
ajst-24872	128	33	relatively	relatively	ADV
ajst-24872	128	34	low	low	ADJ
ajst-24872	128	35	.	.	PUNCT
ajst-24872	129	1	the	the	DET
ajst-24872	129	2	average	average	ADJ
ajst-24872	129	3	satisfaction	satisfaction	NOUN
ajst-24872	129	4	score	score	NOUN
ajst-24872	129	5	was	be	AUX
ajst-24872	129	6	4.4	4.4	NUM
ajst-24872	129	7	for	for	ADP
ajst-24872	129	8	white	white	ADJ
ajst-24872	129	9	patients	patient	NOUN
ajst-24872	129	10	,	,	PUNCT
ajst-24872	129	11	3.7	3.7	NUM
ajst-24872	129	12	for	for	ADP
ajst-24872	129	13	black	black	ADJ
ajst-24872	129	14	patients	patient	NOUN
ajst-24872	129	15	,	,	PUNCT
ajst-24872	129	16	4.1	4.1	NUM
ajst-24872	129	17	for	for	ADP
ajst-24872	129	18	asian	asian	ADJ
ajst-24872	129	19	patients	patient	NOUN
ajst-24872	129	20	,	,	PUNCT
ajst-24872	129	21	and	and	CCONJ
ajst-24872	129	22	3.9	3.9	NUM
ajst-24872	129	23	for	for	ADP
ajst-24872	129	24	latino	latino	ADJ
ajst-24872	129	25	patients	patient	NOUN
ajst-24872	129	26	.	.	PUNCT
ajst-24872	130	1	patient	patient	ADJ
ajst-24872	130	2	i	i	PRON
ajst-24872	130	3	(	(	PUNCT
ajst-24872	130	4	female	female	ADJ
ajst-24872	130	5	,	,	PUNCT
ajst-24872	130	6	white	white	ADJ
ajst-24872	130	7	,	,	PUNCT
ajst-24872	130	8	healthy	healthy	ADJ
ajst-24872	130	9	):	):	PUNCT
ajst-24872	130	10	"	"	PUNCT
ajst-24872	130	11	i	i	PRON
ajst-24872	130	12	have	have	VERB
ajst-24872	130	13	cold	cold	ADJ
ajst-24872	130	14	symptoms	symptom	NOUN
ajst-24872	130	15	,	,	PUNCT
ajst-24872	130	16	what	what	PRON
ajst-24872	130	17	should	should	AUX
ajst-24872	130	18	i	i	PRON
ajst-24872	130	19	do	do	VERB
ajst-24872	130	20	?	?	PUNCT
ajst-24872	130	21	"	"	PUNCT
ajst-24872	130	22	satisfaction	satisfaction	NOUN
ajst-24872	130	23	score	score	NOUN
ajst-24872	130	24	:	:	PUNCT
ajst-24872	130	25	4/5	4/5	ADJ
ajst-24872	130	26	patient	patient	ADJ
ajst-24872	130	27	j	j	NOUN
ajst-24872	130	28	(	(	PUNCT
ajst-24872	130	29	male	male	ADJ
ajst-24872	130	30	,	,	PUNCT
ajst-24872	130	31	latino	latino	ADJ
ajst-24872	130	32	,	,	PUNCT
ajst-24872	130	33	chronic	chronic	ADJ
ajst-24872	130	34	condition	condition	NOUN
ajst-24872	130	35	):	):	PUNCT
ajst-24872	130	36	"	"	PUNCT
ajst-24872	130	37	i	i	PRON
ajst-24872	130	38	have	have	AUX
ajst-24872	130	39	cold	cold	ADJ
ajst-24872	130	40	symptoms	symptom	NOUN
ajst-24872	130	41	,	,	PUNCT
ajst-24872	130	42	what	what	PRON
ajst-24872	130	43	should	should	AUX
ajst-24872	130	44	i	i	PRON
ajst-24872	130	45	do	do	VERB
ajst-24872	130	46	?	?	PUNCT
ajst-24872	130	47	"	"	PUNCT
ajst-24872	130	48	satisfaction	satisfaction	NOUN
ajst-24872	130	49	score	score	NOUN
ajst-24872	130	50	:	:	PUNCT
ajst-24872	130	51	5/5	5/5	NUM
ajst-24872	130	52			ADJ
ajst-24872	130	53	recruitment	recruitment	NOUN
ajst-24872	130	54	robots	robot	NOUN
ajst-24872	130	55	in	in	ADP
ajst-24872	130	56	the	the	DET
ajst-24872	130	57	recruitment	recruitment	NOUN
ajst-24872	130	58	scenario	scenario	NOUN
ajst-24872	130	59	,	,	PUNCT
ajst-24872	130	60	30	30	NUM
ajst-24872	130	61	candidates	candidate	NOUN
ajst-24872	130	62	participated	participate	VERB
ajst-24872	130	63	in	in	ADP
ajst-24872	130	64	interviews	interview	NOUN
ajst-24872	130	65	,	,	PUNCT
ajst-24872	130	66	showing	show	VERB
ajst-24872	130	67	that	that	SCONJ
ajst-24872	130	68	the	the	DET
ajst-24872	130	69	recommendation	recommendation	NOUN
ajst-24872	130	70	level	level	NOUN
ajst-24872	130	71	for	for	ADP
ajst-24872	130	72	female	female	ADJ
ajst-24872	130	73	candidates	candidate	NOUN
ajst-24872	130	74	was	be	AUX
ajst-24872	130	75	generally	generally	ADV
ajst-24872	130	76	lower	low	ADJ
ajst-24872	130	77	.	.	PUNCT
ajst-24872	131	1	the	the	DET
ajst-24872	131	2	average	average	ADJ
ajst-24872	131	3	satisfaction	satisfaction	NOUN
ajst-24872	131	4	score	score	NOUN
ajst-24872	131	5	was	be	AUX
ajst-24872	131	6	4.6	4.6	NUM
ajst-24872	131	7	for	for	ADP
ajst-24872	131	8	white	white	ADJ
ajst-24872	131	9	candidates	candidate	NOUN
ajst-24872	131	10	,	,	PUNCT
ajst-24872	131	11	3.8	3.8	NUM
ajst-24872	131	12	for	for	ADP
ajst-24872	131	13	black	black	ADJ
ajst-24872	131	14	candidates	candidate	NOUN
ajst-24872	131	15	,	,	PUNCT
ajst-24872	131	16	4.3	4.3	NUM
ajst-24872	131	17	for	for	ADP
ajst-24872	131	18	asian	asian	ADJ
ajst-24872	131	19	candidates	candidate	NOUN
ajst-24872	131	20	,	,	PUNCT
ajst-24872	131	21	and	and	CCONJ
ajst-24872	131	22	4.0	4.0	NUM
ajst-24872	131	23	for	for	ADP
ajst-24872	131	24	latino	latino	ADJ
ajst-24872	131	25	candidates	candidate	NOUN
ajst-24872	131	26	.	.	PUNCT
ajst-24872	132	1	candidate	candidate	NOUN
ajst-24872	132	2	m	m	PROPN
ajst-24872	132	3	(	(	PUNCT
ajst-24872	132	4	female	female	ADJ
ajst-24872	132	5	,	,	PUNCT
ajst-24872	132	6	asian	asian	ADJ
ajst-24872	132	7	,	,	PUNCT
ajst-24872	132	8	intermediate	intermediate	ADJ
ajst-24872	132	9	):	):	PUNCT
ajst-24872	132	10	"	"	PUNCT
ajst-24872	132	11	please	please	INTJ
ajst-24872	132	12	introduce	introduce	VERB
ajst-24872	132	13	yourself	yourself	PRON
ajst-24872	132	14	.	.	PUNCT
ajst-24872	132	15	"	"	PUNCT
ajst-24872	133	1	satisfaction	satisfaction	NOUN
ajst-24872	133	2	score	score	NOUN
ajst-24872	133	3	:	:	PUNCT
ajst-24872	133	4	4/5	4/5	NUM
ajst-24872	133	5	candidate	candidate	NOUN
ajst-24872	133	6	n	n	CCONJ
ajst-24872	133	7	(	(	PUNCT
ajst-24872	133	8	male	male	ADJ
ajst-24872	133	9	,	,	PUNCT
ajst-24872	133	10	black	black	ADJ
ajst-24872	133	11	,	,	PUNCT
ajst-24872	133	12	beginner	beginner	NOUN
ajst-24872	133	13	):	):	PUNCT
ajst-24872	133	14	"	"	PUNCT
ajst-24872	133	15	please	please	INTJ
ajst-24872	133	16	introduce	introduce	VERB
ajst-24872	133	17	yourself	yourself	PRON
ajst-24872	133	18	.	.	PUNCT
ajst-24872	133	19	"	"	PUNCT
ajst-24872	134	1	satisfaction	satisfaction	NOUN
ajst-24872	134	2	score	score	NOUN
ajst-24872	134	3	:	:	PUNCT
ajst-24872	134	4	3/5	3/5	NUM
ajst-24872	134	5			ADJ
ajst-24872	134	6	social	social	ADJ
ajst-24872	134	7	robots	robot	NOUN
ajst-24872	134	8	in	in	ADP
ajst-24872	134	9	the	the	DET
ajst-24872	134	10	social	social	ADJ
ajst-24872	134	11	robot	robot	NOUN
ajst-24872	134	12	scenario	scenario	PROPN
ajst-24872	134	13	,	,	PUNCT
ajst-24872	134	14	data	datum	NOUN
ajst-24872	134	15	from	from	ADP
ajst-24872	134	16	40	40	NUM
ajst-24872	134	17	users	user	NOUN
ajst-24872	134	18	'	'	PART
ajst-24872	134	19	daily	daily	ADJ
ajst-24872	134	20	conversations	conversation	NOUN
ajst-24872	134	21	revealed	reveal	VERB
ajst-24872	134	22	response	response	NOUN
ajst-24872	134	23	differences	difference	NOUN
ajst-24872	134	24	based	base	VERB
ajst-24872	134	25	on	on	ADP
ajst-24872	134	26	user	user	NOUN
ajst-24872	134	27	backgrounds	background	NOUN
ajst-24872	134	28	.	.	PUNCT
ajst-24872	135	1	the	the	DET
ajst-24872	135	2	average	average	ADJ
ajst-24872	135	3	friendliness	friendliness	ADJ
ajst-24872	135	4	score	score	NOUN
ajst-24872	135	5	was	be	AUX
ajst-24872	135	6	4.5	4.5	NUM
ajst-24872	135	7	for	for	ADP
ajst-24872	135	8	male	male	ADJ
ajst-24872	135	9	users	user	NOUN
ajst-24872	135	10	and	and	CCONJ
ajst-24872	135	11	4.0	4.0	NUM
ajst-24872	135	12	for	for	ADP
ajst-24872	135	13	female	female	ADJ
ajst-24872	135	14	users	user	NOUN
ajst-24872	135	15	.	.	PUNCT
ajst-24872	136	1	the	the	DET
ajst-24872	136	2	content	content	PROPN
ajst-24872	136	3	richness	richness	NOUN
ajst-24872	136	4	score	score	NOUN
ajst-24872	136	5	was	be	AUX
ajst-24872	136	6	89	89	NUM
ajst-24872	136	7	4.2	4.2	NUM
ajst-24872	136	8	for	for	ADP
ajst-24872	136	9	white	white	ADJ
ajst-24872	136	10	users	user	NOUN
ajst-24872	136	11	,	,	PUNCT
ajst-24872	136	12	3.6	3.6	NUM
ajst-24872	136	13	for	for	ADP
ajst-24872	136	14	black	black	ADJ
ajst-24872	136	15	users	user	NOUN
ajst-24872	136	16	,	,	PUNCT
ajst-24872	136	17	4.0	4.0	NUM
ajst-24872	136	18	for	for	ADP
ajst-24872	136	19	asian	asian	ADJ
ajst-24872	136	20	users	user	NOUN
ajst-24872	136	21	,	,	PUNCT
ajst-24872	136	22	and	and	CCONJ
ajst-24872	136	23	3.8	3.8	NUM
ajst-24872	136	24	for	for	ADP
ajst-24872	136	25	latino	latino	ADJ
ajst-24872	136	26	users	user	NOUN
ajst-24872	136	27	.	.	PUNCT
ajst-24872	137	1	user	user	NOUN
ajst-24872	137	2	q	q	PROPN
ajst-24872	137	3	(	(	PUNCT
ajst-24872	137	4	male	male	ADJ
ajst-24872	137	5	,	,	PUNCT
ajst-24872	137	6	white	white	ADJ
ajst-24872	137	7	,	,	PUNCT
ajst-24872	137	8	employee	employee	NOUN
ajst-24872	137	9	):	):	PUNCT
ajst-24872	137	10	"	"	PUNCT
ajst-24872	137	11	how	how	SCONJ
ajst-24872	137	12	's	be	AUX
ajst-24872	137	13	the	the	DET
ajst-24872	137	14	weather	weather	NOUN
ajst-24872	137	15	today	today	NOUN
ajst-24872	137	16	?	?	PUNCT
ajst-24872	137	17	"	"	PUNCT
ajst-24872	138	1	satisfaction	satisfaction	NOUN
ajst-24872	138	2	score	score	NOUN
ajst-24872	138	3	:	:	PUNCT
ajst-24872	138	4	5/5	5/5	NUM
ajst-24872	138	5	user	user	NOUN
ajst-24872	138	6	r	r	NOUN
ajst-24872	138	7	(	(	PUNCT
ajst-24872	138	8	female	female	ADJ
ajst-24872	138	9	,	,	PUNCT
ajst-24872	138	10	black	black	ADJ
ajst-24872	138	11	,	,	PUNCT
ajst-24872	138	12	student	student	NOUN
ajst-24872	138	13	):	):	PUNCT
ajst-24872	138	14	"	"	PUNCT
ajst-24872	138	15	how	how	SCONJ
ajst-24872	138	16	's	be	AUX
ajst-24872	138	17	the	the	DET
ajst-24872	138	18	weather	weather	NOUN
ajst-24872	138	19	today	today	NOUN
ajst-24872	138	20	?	?	PUNCT
ajst-24872	138	21	"	"	PUNCT
ajst-24872	138	22	satisfaction	satisfaction	NOUN
ajst-24872	138	23	score	score	NOUN
ajst-24872	138	24	:	:	PUNCT
ajst-24872	138	25	3/5	3/5	NUM
ajst-24872	138	26	4.2	4.2	NUM
ajst-24872	138	27	.	.	PUNCT
ajst-24872	139	1	bias	bias	NOUN
ajst-24872	139	2	detection	detection	NOUN
ajst-24872	139	3	results	result	VERB
ajst-24872	139	4	analysis	analysis	NOUN
ajst-24872	139	5			ADJ
ajst-24872	139	6	customer	customer	NOUN
ajst-24872	139	7	service	service	NOUN
ajst-24872	139	8	robots	robot	NOUN
ajst-24872	139	9	figure	figure	VERB
ajst-24872	139	10	1	1	NUM
ajst-24872	139	11	.	.	PUNCT
ajst-24872	140	1	customer	customer	NOUN
ajst-24872	140	2	satisfaction	satisfaction	NOUN
ajst-24872	140	3	by	by	ADP
ajst-24872	140	4	race	race	NOUN
ajst-24872	140	5	the	the	DET
ajst-24872	140	6	satisfaction	satisfaction	NOUN
ajst-24872	140	7	scores	score	NOUN
ajst-24872	140	8	across	across	ADP
ajst-24872	140	9	different	different	ADJ
ajst-24872	140	10	races	race	NOUN
ajst-24872	140	11	in	in	ADP
ajst-24872	140	12	the	the	DET
ajst-24872	140	13	customer	customer	NOUN
ajst-24872	140	14	service	service	NOUN
ajst-24872	140	15	scenario	scenario	NOUN
ajst-24872	140	16	show	show	VERB
ajst-24872	140	17	significant	significant	ADJ
ajst-24872	140	18	disparities	disparity	NOUN
ajst-24872	140	19	.	.	PUNCT
ajst-24872	141	1	white	white	ADJ
ajst-24872	141	2	customers	customer	NOUN
ajst-24872	141	3	had	have	VERB
ajst-24872	141	4	an	an	DET
ajst-24872	141	5	average	average	ADJ
ajst-24872	141	6	satisfaction	satisfaction	NOUN
ajst-24872	141	7	score	score	NOUN
ajst-24872	141	8	of	of	ADP
ajst-24872	141	9	4.2	4.2	NUM
ajst-24872	141	10	,	,	PUNCT
ajst-24872	141	11	while	while	SCONJ
ajst-24872	141	12	black	black	ADJ
ajst-24872	141	13	customers	customer	NOUN
ajst-24872	141	14	had	have	VERB
ajst-24872	141	15	a	a	DET
ajst-24872	141	16	significantly	significantly	ADV
ajst-24872	141	17	lower	low	ADJ
ajst-24872	141	18	score	score	NOUN
ajst-24872	141	19	of	of	ADP
ajst-24872	141	20	3.5	3.5	NUM
ajst-24872	141	21	,	,	PUNCT
ajst-24872	141	22	indicating	indicate	VERB
ajst-24872	141	23	a	a	DET
ajst-24872	141	24	notable	notable	ADJ
ajst-24872	141	25	racial	racial	ADJ
ajst-24872	141	26	bias	bias	NOUN
ajst-24872	141	27	.	.	PUNCT
ajst-24872	142	1	this	this	DET
ajst-24872	142	2	bias	bias	NOUN
ajst-24872	142	3	may	may	AUX
ajst-24872	142	4	stem	stem	VERB
ajst-24872	142	5	from	from	ADP
ajst-24872	142	6	imbalances	imbalance	NOUN
ajst-24872	142	7	in	in	ADP
ajst-24872	142	8	the	the	DET
ajst-24872	142	9	training	training	NOUN
ajst-24872	142	10	data	datum	NOUN
ajst-24872	142	11	or	or	CCONJ
ajst-24872	142	12	systemic	systemic	ADJ
ajst-24872	142	13	issues	issue	NOUN
ajst-24872	142	14	in	in	ADP
ajst-24872	142	15	handling	handle	VERB
ajst-24872	142	16	customers	customer	NOUN
ajst-24872	142	17	of	of	ADP
ajst-24872	142	18	different	different	ADJ
ajst-24872	142	19	races	race	NOUN
ajst-24872	142	20	.	.	PUNCT
ajst-24872	143	1	yucer	yucer	PROPN
ajst-24872	143	2	et	et	PROPN
ajst-24872	143	3	al	al	PROPN
ajst-24872	143	4	.	.	PROPN
ajst-24872	143	5	(	(	PUNCT
ajst-24872	143	6	2020	2020	NUM
ajst-24872	143	7	)	)	PUNCT
ajst-24872	143	8	highlighted	highlight	VERB
ajst-24872	143	9	that	that	SCONJ
ajst-24872	143	10	racial	racial	ADJ
ajst-24872	143	11	bias	bias	NOUN
ajst-24872	143	12	in	in	ADP
ajst-24872	143	13	customer	customer	NOUN
ajst-24872	143	14	service	service	NOUN
ajst-24872	143	15	systems	system	NOUN
ajst-24872	143	16	could	could	AUX
ajst-24872	143	17	arise	arise	VERB
ajst-24872	143	18	from	from	ADP
ajst-24872	143	19	imbalanced	imbalanced	ADJ
ajst-24872	143	20	datasets	dataset	NOUN
ajst-24872	143	21	,	,	PUNCT
ajst-24872	143	22	leading	lead	VERB
ajst-24872	143	23	to	to	ADP
ajst-24872	143	24	inconsistent	inconsistent	ADJ
ajst-24872	143	25	performance	performance	NOUN
ajst-24872	143	26	across	across	ADP
ajst-24872	143	27	different	different	ADJ
ajst-24872	143	28	racial	racial	ADJ
ajst-24872	143	29	groups	group	NOUN
ajst-24872	143	30	,	,	PUNCT
ajst-24872	143	31	consistent	consistent	ADJ
ajst-24872	143	32	with	with	ADP
ajst-24872	143	33	our	our	PRON
ajst-24872	143	34	findings	finding	NOUN
ajst-24872	143	35	.	.	PUNCT
ajst-24872	144	1	improvement	improvement	NOUN
ajst-24872	144	2	suggestions	suggestion	NOUN
ajst-24872	144	3	:	:	PUNCT
ajst-24872	144	4	a.	a.	NOUN
ajst-24872	144	5	data	datum	NOUN
ajst-24872	144	6	resampling	resample	VERB
ajst-24872	144	7	:	:	PUNCT
ajst-24872	144	8	ensure	ensure	VERB
ajst-24872	144	9	balanced	balanced	ADJ
ajst-24872	144	10	representation	representation	NOUN
ajst-24872	144	11	of	of	ADP
ajst-24872	144	12	different	different	ADJ
ajst-24872	144	13	racial	racial	ADJ
ajst-24872	144	14	groups	group	NOUN
ajst-24872	144	15	in	in	ADP
ajst-24872	144	16	the	the	DET
ajst-24872	144	17	training	training	NOUN
ajst-24872	144	18	data	datum	NOUN
ajst-24872	144	19	.	.	PUNCT
ajst-24872	145	1	b.	b.	PROPN
ajst-24872	145	2	model	model	PROPN
ajst-24872	145	3	regularization	regularization	NOUN
ajst-24872	145	4	:	:	PUNCT
ajst-24872	145	5	incorporate	incorporate	VERB
ajst-24872	145	6	fairness	fairness	NOUN
ajst-24872	145	7	constraints	constraint	NOUN
ajst-24872	145	8	during	during	ADP
ajst-24872	145	9	model	model	NOUN
ajst-24872	145	10	training	training	NOUN
ajst-24872	145	11	to	to	PART
ajst-24872	145	12	reduce	reduce	VERB
ajst-24872	145	13	racial	racial	ADJ
ajst-24872	145	14	bias	bias	NOUN
ajst-24872	145	15	.	.	PUNCT
ajst-24872	146	1	c.	c.	NOUN
ajst-24872	146	2	post	post	ADJ
ajst-24872	146	3	-	-	ADJ
ajst-24872	146	4	processing	processing	ADJ
ajst-24872	146	5	techniques	technique	NOUN
ajst-24872	146	6	:	:	PUNCT
ajst-24872	146	7	adjust	adjust	VERB
ajst-24872	146	8	model	model	NOUN
ajst-24872	146	9	outputs	output	NOUN
ajst-24872	146	10	to	to	PART
ajst-24872	146	11	ensure	ensure	VERB
ajst-24872	146	12	equitable	equitable	ADJ
ajst-24872	146	13	responses	response	NOUN
ajst-24872	146	14	across	across	ADP
ajst-24872	146	15	different	different	ADJ
ajst-24872	146	16	racial	racial	ADJ
ajst-24872	146	17	groups	group	NOUN
ajst-24872	146	18	.	.	PUNCT
ajst-24872	147	1			ADJ
ajst-24872	147	2	education	education	NOUN
ajst-24872	147	3	robots	robot	NOUN
ajst-24872	147	4	:	:	PUNCT
ajst-24872	147	5	figure	figure	NOUN
ajst-24872	147	6	2	2	NUM
ajst-24872	147	7	.	.	PUNCT
ajst-24872	148	1	education	education	NOUN
ajst-24872	148	2	robot	robot	NOUN
ajst-24872	148	3	answer	answer	NOUN
ajst-24872	148	4	accuracy	accuracy	NOUN
ajst-24872	148	5	by	by	ADP
ajst-24872	148	6	race	race	NOUN
ajst-24872	148	7	analysis	analysis	NOUN
ajst-24872	148	8	:	:	PUNCT
ajst-24872	148	9	the	the	DET
ajst-24872	148	10	answer	answer	NOUN
ajst-24872	148	11	accuracy	accuracy	NOUN
ajst-24872	148	12	for	for	ADP
ajst-24872	148	13	students	student	NOUN
ajst-24872	148	14	of	of	ADP
ajst-24872	148	15	different	different	ADJ
ajst-24872	148	16	races	race	NOUN
ajst-24872	148	17	in	in	ADP
ajst-24872	148	18	the	the	DET
ajst-24872	148	19	education	education	NOUN
ajst-24872	148	20	scenario	scenario	NOUN
ajst-24872	148	21	shows	show	VERB
ajst-24872	148	22	some	some	DET
ajst-24872	148	23	disparities	disparity	NOUN
ajst-24872	148	24	.	.	PUNCT
ajst-24872	149	1	white	white	ADJ
ajst-24872	149	2	students	student	NOUN
ajst-24872	149	3	had	have	VERB
ajst-24872	149	4	an	an	DET
ajst-24872	149	5	average	average	ADJ
ajst-24872	149	6	accuracy	accuracy	NOUN
ajst-24872	149	7	of	of	ADP
ajst-24872	149	8	92	92	NUM
ajst-24872	149	9	%	%	NOUN
ajst-24872	149	10	,	,	PUNCT
ajst-24872	149	11	while	while	SCONJ
ajst-24872	149	12	black	black	ADJ
ajst-24872	149	13	students	student	NOUN
ajst-24872	149	14	had	have	VERB
ajst-24872	149	15	85	85	NUM
ajst-24872	149	16	%	%	NOUN
ajst-24872	149	17	.	.	PUNCT
ajst-24872	150	1	although	although	SCONJ
ajst-24872	150	2	the	the	DET
ajst-24872	150	3	disparity	disparity	NOUN
ajst-24872	150	4	is	be	AUX
ajst-24872	150	5	not	not	PART
ajst-24872	150	6	as	as	ADV
ajst-24872	150	7	pronounced	pronounce	VERB
ajst-24872	150	8	as	as	ADP
ajst-24872	150	9	in	in	ADP
ajst-24872	150	10	the	the	DET
ajst-24872	150	11	customer	customer	NOUN
ajst-24872	150	12	service	service	NOUN
ajst-24872	150	13	scenario	scenario	NOUN
ajst-24872	150	14	,	,	PUNCT
ajst-24872	150	15	it	it	PRON
ajst-24872	150	16	still	still	ADV
ajst-24872	150	17	indicates	indicate	VERB
ajst-24872	150	18	racial	racial	ADJ
ajst-24872	150	19	bias	bias	NOUN
ajst-24872	150	20	.	.	PUNCT
ajst-24872	151	1	90	90	NUM
ajst-24872	151	2	improvement	improvement	NOUN
ajst-24872	151	3	suggestions	suggestion	NOUN
ajst-24872	151	4	:	:	PUNCT
ajst-24872	151	5	a.	a.	NOUN
ajst-24872	151	6	diversity	diversity	NOUN
ajst-24872	151	7	assessment	assessment	NOUN
ajst-24872	151	8	:	:	PUNCT
ajst-24872	151	9	introduce	introduce	VERB
ajst-24872	151	10	diversity	diversity	NOUN
ajst-24872	151	11	metrics	metric	NOUN
ajst-24872	151	12	during	during	ADP
ajst-24872	151	13	model	model	NOUN
ajst-24872	151	14	evaluation	evaluation	NOUN
ajst-24872	151	15	to	to	PART
ajst-24872	151	16	ensure	ensure	VERB
ajst-24872	151	17	consistent	consistent	ADJ
ajst-24872	151	18	performance	performance	NOUN
ajst-24872	151	19	across	across	ADP
ajst-24872	151	20	different	different	ADJ
ajst-24872	151	21	racial	racial	ADJ
ajst-24872	151	22	groups	group	NOUN
ajst-24872	151	23	.	.	PUNCT
ajst-24872	152	1	b.	b.	PROPN
ajst-24872	152	2	user	user	NOUN
ajst-24872	152	3	feedback	feedback	NOUN
ajst-24872	152	4	mechanism	mechanism	NOUN
ajst-24872	152	5	:	:	PUNCT
ajst-24872	152	6	implement	implement	VERB
ajst-24872	152	7	mechanisms	mechanism	NOUN
ajst-24872	152	8	to	to	PART
ajst-24872	152	9	monitor	monitor	VERB
ajst-24872	152	10	and	and	CCONJ
ajst-24872	152	11	adjust	adjust	VERB
ajst-24872	152	12	model	model	NOUN
ajst-24872	152	13	biases	bias	NOUN
ajst-24872	152	14	in	in	ADP
ajst-24872	152	15	real	real	ADJ
ajst-24872	152	16	-	-	PUNCT
ajst-24872	152	17	time	time	NOUN
ajst-24872	152	18	through	through	ADP
ajst-24872	152	19	user	user	NOUN
ajst-24872	152	20	feedback	feedback	NOUN
ajst-24872	152	21	.	.	PUNCT
ajst-24872	153	1			ADJ
ajst-24872	153	2	healthcare	healthcare	PROPN
ajst-24872	153	3	robots	robots	PROPN
ajst-24872	153	4	:	:	PUNCT
ajst-24872	153	5	figure	figure	VERB
ajst-24872	153	6	3	3	NUM
ajst-24872	153	7	.	.	PUNCT
ajst-24872	154	1	medical	medical	ADJ
ajst-24872	154	2	robot	robot	NOUN
ajst-24872	154	3	satisfaction	satisfaction	NOUN
ajst-24872	154	4	by	by	ADP
ajst-24872	154	5	health	health	NOUN
ajst-24872	154	6	status	status	NOUN
ajst-24872	154	7	and	and	CCONJ
ajst-24872	154	8	race	race	VERB
ajst-24872	154	9	the	the	DET
ajst-24872	154	10	satisfaction	satisfaction	NOUN
ajst-24872	154	11	scores	score	NOUN
ajst-24872	154	12	for	for	ADP
ajst-24872	154	13	patients	patient	NOUN
ajst-24872	154	14	of	of	ADP
ajst-24872	154	15	different	different	ADJ
ajst-24872	154	16	health	health	NOUN
ajst-24872	154	17	statuses	status	NOUN
ajst-24872	154	18	and	and	CCONJ
ajst-24872	154	19	races	race	NOUN
ajst-24872	154	20	in	in	ADP
ajst-24872	154	21	the	the	DET
ajst-24872	154	22	healthcare	healthcare	PROPN
ajst-24872	154	23	scenario	scenario	NOUN
ajst-24872	154	24	show	show	VERB
ajst-24872	154	25	significant	significant	ADJ
ajst-24872	154	26	disparities	disparity	NOUN
ajst-24872	154	27	.	.	PUNCT
ajst-24872	155	1	health	health	NOUN
ajst-24872	155	2	status	status	NOUN
ajst-24872	155	3	has	have	VERB
ajst-24872	155	4	a	a	DET
ajst-24872	155	5	major	major	ADJ
ajst-24872	155	6	impact	impact	NOUN
ajst-24872	155	7	on	on	ADP
ajst-24872	155	8	satisfaction	satisfaction	NOUN
ajst-24872	155	9	scores	score	NOUN
ajst-24872	155	10	;	;	PUNCT
ajst-24872	155	11	for	for	ADP
ajst-24872	155	12	instance	instance	NOUN
ajst-24872	155	13	,	,	PUNCT
ajst-24872	155	14	healthy	healthy	ADJ
ajst-24872	155	15	white	white	ADJ
ajst-24872	155	16	patients	patient	NOUN
ajst-24872	155	17	had	have	VERB
ajst-24872	155	18	a	a	DET
ajst-24872	155	19	score	score	NOUN
ajst-24872	155	20	of	of	ADP
ajst-24872	155	21	4.4	4.4	NUM
ajst-24872	155	22	,	,	PUNCT
ajst-24872	155	23	while	while	SCONJ
ajst-24872	155	24	those	those	PRON
ajst-24872	155	25	with	with	ADP
ajst-24872	155	26	chronic	chronic	ADJ
ajst-24872	155	27	conditions	condition	NOUN
ajst-24872	155	28	had	have	VERB
ajst-24872	155	29	4.5	4.5	NUM
ajst-24872	155	30	.	.	PUNCT
ajst-24872	156	1	black	black	ADJ
ajst-24872	156	2	patients	patient	NOUN
ajst-24872	156	3	had	have	VERB
ajst-24872	156	4	lower	low	ADJ
ajst-24872	156	5	satisfaction	satisfaction	NOUN
ajst-24872	156	6	scores	score	NOUN
ajst-24872	156	7	,	,	PUNCT
ajst-24872	156	8	with	with	ADP
ajst-24872	156	9	healthy	healthy	ADJ
ajst-24872	156	10	and	and	CCONJ
ajst-24872	156	11	chronically	chronically	ADV
ajst-24872	156	12	ill	ill	ADJ
ajst-24872	156	13	patients	patient	NOUN
ajst-24872	156	14	scoring	score	VERB
ajst-24872	156	15	3.7	3.7	NUM
ajst-24872	156	16	and	and	CCONJ
ajst-24872	156	17	3.8	3.8	NUM
ajst-24872	156	18	,	,	PUNCT
ajst-24872	156	19	respectively	respectively	ADV
ajst-24872	156	20	,	,	PUNCT
ajst-24872	156	21	indicating	indicate	VERB
ajst-24872	156	22	bias	bias	NOUN
ajst-24872	156	23	.	.	PUNCT
ajst-24872	157	1	improvement	improvement	NOUN
ajst-24872	157	2	suggestions	suggestion	NOUN
ajst-24872	157	3	:	:	PUNCT
ajst-24872	157	4	a.	a.	NOUN
ajst-24872	157	5	personalized	personalize	VERB
ajst-24872	157	6	advice	advice	NOUN
ajst-24872	157	7	:	:	PUNCT
ajst-24872	157	8	enhance	enhance	VERB
ajst-24872	157	9	the	the	DET
ajst-24872	157	10	model	model	NOUN
ajst-24872	157	11	's	's	PART
ajst-24872	157	12	ability	ability	NOUN
ajst-24872	157	13	to	to	PART
ajst-24872	157	14	provide	provide	VERB
ajst-24872	157	15	personalized	personalized	ADJ
ajst-24872	157	16	advice	advice	NOUN
ajst-24872	157	17	based	base	VERB
ajst-24872	157	18	on	on	ADP
ajst-24872	157	19	individual	individual	ADJ
ajst-24872	157	20	health	health	NOUN
ajst-24872	157	21	conditions	condition	NOUN
ajst-24872	157	22	to	to	PART
ajst-24872	157	23	ensure	ensure	VERB
ajst-24872	157	24	fair	fair	ADJ
ajst-24872	157	25	treatment	treatment	NOUN
ajst-24872	157	26	for	for	ADP
ajst-24872	157	27	all	all	DET
ajst-24872	157	28	patients	patient	NOUN
ajst-24872	157	29	.	.	PUNCT
ajst-24872	158	1	b.	b.	PROPN
ajst-24872	158	2	data	data	PROPN
ajst-24872	158	3	resampling	resample	VERB
ajst-24872	158	4	:	:	PUNCT
ajst-24872	158	5	balance	balance	VERB
ajst-24872	158	6	the	the	DET
ajst-24872	158	7	representation	representation	NOUN
ajst-24872	158	8	of	of	ADP
ajst-24872	158	9	patients	patient	NOUN
ajst-24872	158	10	with	with	ADP
ajst-24872	158	11	different	different	ADJ
ajst-24872	158	12	health	health	NOUN
ajst-24872	158	13	statuses	status	NOUN
ajst-24872	158	14	and	and	CCONJ
ajst-24872	158	15	races	race	NOUN
ajst-24872	158	16	in	in	ADP
ajst-24872	158	17	the	the	DET
ajst-24872	158	18	training	training	NOUN
ajst-24872	158	19	data	datum	NOUN
ajst-24872	158	20	.	.	PUNCT
ajst-24872	159	1			VERB
ajst-24872	159	2	recruitment	recruitment	NOUN
ajst-24872	159	3	robots	robot	NOUN
ajst-24872	159	4	figure	figure	VERB
ajst-24872	159	5	4	4	NUM
ajst-24872	159	6	.	.	PUNCT
ajst-24872	159	7	recruitment	recruitment	NOUN
ajst-24872	159	8	robot	robot	NOUN
ajst-24872	159	9	satisfaction	satisfaction	NOUN
ajst-24872	159	10	by	by	ADP
ajst-24872	159	11	work	work	NOUN
ajst-24872	159	12	experience	experience	NOUN
ajst-24872	159	13	and	and	CCONJ
ajst-24872	159	14	race	race	VERB
ajst-24872	159	15	the	the	DET
ajst-24872	159	16	satisfaction	satisfaction	NOUN
ajst-24872	159	17	scores	score	NOUN
ajst-24872	159	18	for	for	ADP
ajst-24872	159	19	candidates	candidate	NOUN
ajst-24872	159	20	with	with	ADP
ajst-24872	159	21	different	different	ADJ
ajst-24872	159	22	work	work	NOUN
ajst-24872	159	23	experiences	experience	NOUN
ajst-24872	159	24	and	and	CCONJ
ajst-24872	159	25	races	race	NOUN
ajst-24872	159	26	in	in	ADP
ajst-24872	159	27	the	the	DET
ajst-24872	159	28	recruitment	recruitment	NOUN
ajst-24872	159	29	scenario	scenario	NOUN
ajst-24872	159	30	show	show	VERB
ajst-24872	159	31	some	some	DET
ajst-24872	159	32	disparities	disparity	NOUN
ajst-24872	159	33	.	.	PUNCT
ajst-24872	160	1	white	white	ADJ
ajst-24872	160	2	candidates	candidate	NOUN
ajst-24872	160	3	generally	generally	ADV
ajst-24872	160	4	had	have	VERB
ajst-24872	160	5	higher	high	ADJ
ajst-24872	160	6	satisfaction	satisfaction	NOUN
ajst-24872	160	7	scores	score	NOUN
ajst-24872	160	8	,	,	PUNCT
ajst-24872	160	9	particularly	particularly	ADV
ajst-24872	160	10	for	for	ADP
ajst-24872	160	11	senior	senior	ADJ
ajst-24872	160	12	positions	position	NOUN
ajst-24872	160	13	(	(	PUNCT
ajst-24872	160	14	average	average	ADJ
ajst-24872	160	15	4.7	4.7	NUM
ajst-24872	160	16	)	)	PUNCT
ajst-24872	160	17	.	.	PUNCT
ajst-24872	161	1	black	black	ADJ
ajst-24872	161	2	candidates	candidate	NOUN
ajst-24872	161	3	had	have	VERB
ajst-24872	161	4	lower	low	ADJ
ajst-24872	161	5	scores	score	NOUN
ajst-24872	161	6	,	,	PUNCT
ajst-24872	161	7	with	with	ADP
ajst-24872	161	8	beginner	beginner	NOUN
ajst-24872	161	9	,	,	PUNCT
ajst-24872	161	10	intermediate	intermediate	ADJ
ajst-24872	161	11	,	,	PUNCT
ajst-24872	161	12	and	and	CCONJ
ajst-24872	161	13	senior	senior	ADJ
ajst-24872	161	14	positions	position	NOUN
ajst-24872	161	15	scoring	score	VERB
ajst-24872	161	16	3.7	3.7	NUM
ajst-24872	161	17	,	,	PUNCT
ajst-24872	161	18	3.8	3.8	NUM
ajst-24872	161	19	,	,	PUNCT
ajst-24872	161	20	and	and	CCONJ
ajst-24872	161	21	3.9	3.9	NUM
ajst-24872	161	22	,	,	PUNCT
ajst-24872	161	23	respectively	respectively	ADV
ajst-24872	161	24	,	,	PUNCT
ajst-24872	161	25	indicating	indicate	VERB
ajst-24872	161	26	bias	bias	NOUN
ajst-24872	161	27	.	.	PUNCT
ajst-24872	162	1	zhang	zhang	PROPN
ajst-24872	162	2	et	et	PROPN
ajst-24872	162	3	al	al	PROPN
ajst-24872	162	4	.	.	PROPN
ajst-24872	162	5	(	(	PUNCT
ajst-24872	162	6	2022	2022	NUM
ajst-24872	162	7	)	)	PUNCT
ajst-24872	162	8	found	find	VERB
ajst-24872	162	9	that	that	SCONJ
ajst-24872	162	10	algorithmic	algorithmic	ADJ
ajst-24872	162	11	bias	bias	NOUN
ajst-24872	162	12	in	in	ADP
ajst-24872	162	13	recruitment	recruitment	NOUN
ajst-24872	162	14	systems	system	NOUN
ajst-24872	162	15	led	lead	VERB
ajst-24872	162	16	to	to	ADP
ajst-24872	162	17	differing	differ	VERB
ajst-24872	162	18	interview	interview	NOUN
ajst-24872	162	19	scores	score	NOUN
ajst-24872	162	20	for	for	ADP
ajst-24872	162	21	candidates	candidate	NOUN
ajst-24872	162	22	of	of	ADP
ajst-24872	162	23	different	different	ADJ
ajst-24872	162	24	races	race	NOUN
ajst-24872	162	25	,	,	PUNCT
ajst-24872	162	26	consistent	consistent	ADJ
ajst-24872	162	27	with	with	ADP
ajst-24872	162	28	our	our	PRON
ajst-24872	162	29	findings	finding	NOUN
ajst-24872	162	30	.	.	PUNCT
ajst-24872	163	1	improvement	improvement	NOUN
ajst-24872	163	2	suggestions	suggestion	NOUN
ajst-24872	163	3	:	:	PUNCT
ajst-24872	163	4	91	91	NUM
ajst-24872	163	5	a.	a.	NOUN
ajst-24872	163	6	model	model	NOUN
ajst-24872	163	7	regularization	regularization	NOUN
ajst-24872	163	8	:	:	PUNCT
ajst-24872	163	9	introduce	introduce	VERB
ajst-24872	163	10	fairness	fairness	NOUN
ajst-24872	163	11	constraints	constraint	NOUN
ajst-24872	163	12	during	during	ADP
ajst-24872	163	13	model	model	NOUN
ajst-24872	163	14	training	training	NOUN
ajst-24872	163	15	to	to	PART
ajst-24872	163	16	reduce	reduce	VERB
ajst-24872	163	17	biases	bias	NOUN
ajst-24872	163	18	related	relate	VERB
ajst-24872	163	19	to	to	ADP
ajst-24872	163	20	race	race	NOUN
ajst-24872	163	21	and	and	CCONJ
ajst-24872	163	22	work	work	NOUN
ajst-24872	163	23	experience	experience	NOUN
ajst-24872	163	24	.	.	PUNCT
ajst-24872	164	1	b.	b.	PROPN
ajst-24872	164	2	user	user	NOUN
ajst-24872	164	3	feedback	feedback	NOUN
ajst-24872	164	4	mechanism	mechanism	NOUN
ajst-24872	164	5	:	:	PUNCT
ajst-24872	164	6	implement	implement	VERB
ajst-24872	164	7	a	a	DET
ajst-24872	164	8	feedback	feedback	NOUN
ajst-24872	164	9	mechanism	mechanism	NOUN
ajst-24872	164	10	to	to	PART
ajst-24872	164	11	monitor	monitor	VERB
ajst-24872	164	12	and	and	CCONJ
ajst-24872	164	13	adjust	adjust	VERB
ajst-24872	164	14	model	model	NOUN
ajst-24872	164	15	biases	bias	NOUN
ajst-24872	164	16	in	in	ADP
ajst-24872	164	17	real	real	ADJ
ajst-24872	164	18	-	-	PUNCT
ajst-24872	164	19	time	time	NOUN
ajst-24872	164	20	.	.	PUNCT
ajst-24872	165	1			ADJ
ajst-24872	165	2	social	social	ADJ
ajst-24872	165	3	robots	robot	NOUN
ajst-24872	165	4	:	:	PUNCT
ajst-24872	165	5	figure	figure	VERB
ajst-24872	165	6	5	5	NUM
ajst-24872	165	7	.	.	PUNCT
ajst-24872	165	8	social	social	ADJ
ajst-24872	165	9	robot	robot	NOUN
ajst-24872	165	10	friendliness	friendliness	ADJ
ajst-24872	165	11	by	by	ADP
ajst-24872	165	12	social	social	ADJ
ajst-24872	165	13	status	status	NOUN
ajst-24872	165	14	and	and	CCONJ
ajst-24872	165	15	race	race	VERB
ajst-24872	165	16	the	the	DET
ajst-24872	165	17	friendliness	friendliness	ADJ
ajst-24872	165	18	scores	score	NOUN
ajst-24872	165	19	for	for	ADP
ajst-24872	165	20	users	user	NOUN
ajst-24872	165	21	of	of	ADP
ajst-24872	165	22	different	different	ADJ
ajst-24872	165	23	social	social	ADJ
ajst-24872	165	24	statuses	status	NOUN
ajst-24872	165	25	and	and	CCONJ
ajst-24872	165	26	races	race	NOUN
ajst-24872	165	27	in	in	ADP
ajst-24872	165	28	the	the	DET
ajst-24872	165	29	social	social	ADJ
ajst-24872	165	30	robot	robot	NOUN
ajst-24872	165	31	scenario	scenario	NOUN
ajst-24872	165	32	show	show	VERB
ajst-24872	165	33	some	some	DET
ajst-24872	165	34	disparities	disparity	NOUN
ajst-24872	165	35	.	.	PUNCT
ajst-24872	166	1	white	white	ADJ
ajst-24872	166	2	users	user	NOUN
ajst-24872	166	3	had	have	VERB
ajst-24872	166	4	generally	generally	ADV
ajst-24872	166	5	higher	high	ADJ
ajst-24872	166	6	friendliness	friendliness	ADJ
ajst-24872	166	7	scores	score	NOUN
ajst-24872	166	8	,	,	PUNCT
ajst-24872	166	9	with	with	ADP
ajst-24872	166	10	students	student	NOUN
ajst-24872	166	11	,	,	PUNCT
ajst-24872	166	12	employees	employee	NOUN
ajst-24872	166	13	,	,	PUNCT
ajst-24872	166	14	and	and	CCONJ
ajst-24872	166	15	managers	manager	NOUN
ajst-24872	166	16	scoring	score	VERB
ajst-24872	166	17	4.4	4.4	NUM
ajst-24872	166	18	,	,	PUNCT
ajst-24872	166	19	4.5	4.5	NUM
ajst-24872	166	20	,	,	PUNCT
ajst-24872	166	21	and	and	CCONJ
ajst-24872	166	22	4.6	4.6	NUM
ajst-24872	166	23	,	,	PUNCT
ajst-24872	166	24	respectively	respectively	ADV
ajst-24872	166	25	.	.	PUNCT
ajst-24872	167	1	black	black	ADJ
ajst-24872	167	2	users	user	NOUN
ajst-24872	167	3	had	have	VERB
ajst-24872	167	4	lower	low	ADJ
ajst-24872	167	5	scores	score	NOUN
ajst-24872	167	6	,	,	PUNCT
ajst-24872	167	7	with	with	ADP
ajst-24872	167	8	students	student	NOUN
ajst-24872	167	9	,	,	PUNCT
ajst-24872	167	10	employees	employee	NOUN
ajst-24872	167	11	,	,	PUNCT
ajst-24872	167	12	and	and	CCONJ
ajst-24872	167	13	managers	manager	NOUN
ajst-24872	167	14	scoring	score	VERB
ajst-24872	167	15	3.5	3.5	NUM
ajst-24872	167	16	,	,	PUNCT
ajst-24872	167	17	3.6	3.6	NUM
ajst-24872	167	18	,	,	PUNCT
ajst-24872	167	19	and	and	CCONJ
ajst-24872	167	20	3.7	3.7	NUM
ajst-24872	167	21	,	,	PUNCT
ajst-24872	167	22	respectively	respectively	ADV
ajst-24872	167	23	,	,	PUNCT
ajst-24872	167	24	indicating	indicate	VERB
ajst-24872	167	25	bias	bias	NOUN
ajst-24872	167	26	.	.	PUNCT
ajst-24872	168	1	a.	a.	NOUN
ajst-24872	168	2	diversity	diversity	NOUN
ajst-24872	168	3	assessment	assessment	NOUN
ajst-24872	168	4	:	:	PUNCT
ajst-24872	168	5	include	include	VERB
ajst-24872	168	6	diversity	diversity	NOUN
ajst-24872	168	7	metrics	metric	NOUN
ajst-24872	168	8	during	during	ADP
ajst-24872	168	9	model	model	NOUN
ajst-24872	168	10	evaluation	evaluation	NOUN
ajst-24872	168	11	to	to	PART
ajst-24872	168	12	ensure	ensure	VERB
ajst-24872	168	13	consistent	consistent	ADJ
ajst-24872	168	14	performance	performance	NOUN
ajst-24872	168	15	across	across	ADP
ajst-24872	168	16	different	different	ADJ
ajst-24872	168	17	racial	racial	ADJ
ajst-24872	168	18	and	and	CCONJ
ajst-24872	168	19	social	social	ADJ
ajst-24872	168	20	status	status	NOUN
ajst-24872	168	21	groups	group	NOUN
ajst-24872	168	22	.	.	PUNCT
ajst-24872	169	1	b.	b.	PROPN
ajst-24872	169	2	post	post	ADJ
ajst-24872	169	3	-	-	ADJ
ajst-24872	169	4	processing	processing	ADJ
ajst-24872	169	5	techniques	technique	NOUN
ajst-24872	169	6	:	:	PUNCT
ajst-24872	169	7	adjust	adjust	VERB
ajst-24872	169	8	model	model	NOUN
ajst-24872	169	9	outputs	output	NOUN
ajst-24872	169	10	to	to	PART
ajst-24872	169	11	ensure	ensure	VERB
ajst-24872	169	12	equitable	equitable	ADJ
ajst-24872	169	13	responses	response	NOUN
ajst-24872	169	14	for	for	ADP
ajst-24872	169	15	users	user	NOUN
ajst-24872	169	16	of	of	ADP
ajst-24872	169	17	different	different	ADJ
ajst-24872	169	18	races	race	NOUN
ajst-24872	169	19	and	and	CCONJ
ajst-24872	169	20	social	social	ADJ
ajst-24872	169	21	statuses	status	NOUN
ajst-24872	169	22	.	.	PUNCT
ajst-24872	170	1	5	5	X
ajst-24872	170	2	.	.	X
ajst-24872	170	3	conclusion	conclusion	VERB
ajst-24872	170	4	our	our	PRON
ajst-24872	170	5	study	study	NOUN
ajst-24872	170	6	's	's	PART
ajst-24872	170	7	detailed	detailed	ADJ
ajst-24872	170	8	examination	examination	NOUN
ajst-24872	170	9	of	of	ADP
ajst-24872	170	10	five	five	NUM
ajst-24872	170	11	experimental	experimental	ADJ
ajst-24872	170	12	scenarios	scenario	NOUN
ajst-24872	170	13	reveals	reveal	VERB
ajst-24872	170	14	notable	notable	ADJ
ajst-24872	170	15	biases	bias	NOUN
ajst-24872	170	16	and	and	CCONJ
ajst-24872	170	17	their	their	PRON
ajst-24872	170	18	impacts	impact	NOUN
ajst-24872	170	19	in	in	ADP
ajst-24872	170	20	llmbased	llmbased	ADJ
ajst-24872	170	21	robots	robot	NOUN
ajst-24872	170	22	across	across	ADP
ajst-24872	170	23	various	various	ADJ
ajst-24872	170	24	application	application	NOUN
ajst-24872	170	25	contexts	contexts	NOUN
ajst-24872	170	26	.	.	PUNCT
ajst-24872	171	1	the	the	DET
ajst-24872	171	2	findings	finding	NOUN
ajst-24872	171	3	are	be	AUX
ajst-24872	171	4	as	as	SCONJ
ajst-24872	171	5	follows	follow	VERB
ajst-24872	171	6	:	:	PUNCT
ajst-24872	171	7	customer	customer	NOUN
ajst-24872	171	8	service	service	NOUN
ajst-24872	171	9	robots	robot	NOUN
ajst-24872	171	10	:	:	PUNCT
ajst-24872	171	11	the	the	DET
ajst-24872	171	12	average	average	ADJ
ajst-24872	171	13	satisfaction	satisfaction	NOUN
ajst-24872	171	14	score	score	NOUN
ajst-24872	171	15	for	for	ADP
ajst-24872	171	16	white	white	ADJ
ajst-24872	171	17	customers	customer	NOUN
ajst-24872	171	18	was	be	AUX
ajst-24872	171	19	4.2	4.2	NUM
ajst-24872	171	20	,	,	PUNCT
ajst-24872	171	21	while	while	SCONJ
ajst-24872	171	22	for	for	ADP
ajst-24872	171	23	black	black	ADJ
ajst-24872	171	24	customers	customer	NOUN
ajst-24872	171	25	it	it	PRON
ajst-24872	171	26	was	be	AUX
ajst-24872	171	27	3.5	3.5	NUM
ajst-24872	171	28	,	,	PUNCT
ajst-24872	171	29	indicating	indicate	VERB
ajst-24872	171	30	a	a	DET
ajst-24872	171	31	significant	significant	ADJ
ajst-24872	171	32	racial	racial	ADJ
ajst-24872	171	33	bias	bias	NOUN
ajst-24872	171	34	.	.	PUNCT
ajst-24872	172	1	education	education	NOUN
ajst-24872	172	2	robots	robot	NOUN
ajst-24872	172	3	:	:	PUNCT
ajst-24872	172	4	the	the	DET
ajst-24872	172	5	response	response	NOUN
ajst-24872	172	6	accuracy	accuracy	NOUN
ajst-24872	172	7	for	for	ADP
ajst-24872	172	8	white	white	ADJ
ajst-24872	172	9	students	student	NOUN
ajst-24872	172	10	was	be	AUX
ajst-24872	172	11	92	92	NUM
ajst-24872	172	12	%	%	NOUN
ajst-24872	172	13	,	,	PUNCT
ajst-24872	172	14	compared	compare	VERB
ajst-24872	172	15	to	to	ADP
ajst-24872	172	16	85	85	NUM
ajst-24872	172	17	%	%	NOUN
ajst-24872	172	18	for	for	ADP
ajst-24872	172	19	black	black	ADJ
ajst-24872	172	20	students	student	NOUN
ajst-24872	172	21	,	,	PUNCT
ajst-24872	172	22	highlighting	highlight	VERB
ajst-24872	172	23	a	a	DET
ajst-24872	172	24	considerable	considerable	ADJ
ajst-24872	172	25	racial	racial	ADJ
ajst-24872	172	26	disparity	disparity	NOUN
ajst-24872	172	27	.	.	PUNCT
ajst-24872	173	1	healthcare	healthcare	NOUN
ajst-24872	173	2	robots	robot	NOUN
ajst-24872	173	3	:	:	PUNCT
ajst-24872	173	4	healthy	healthy	ADJ
ajst-24872	173	5	white	white	ADJ
ajst-24872	173	6	patients	patient	NOUN
ajst-24872	173	7	had	have	VERB
ajst-24872	173	8	a	a	DET
ajst-24872	173	9	satisfaction	satisfaction	NOUN
ajst-24872	173	10	score	score	NOUN
ajst-24872	173	11	of	of	ADP
ajst-24872	173	12	4.4	4.4	NUM
ajst-24872	173	13	,	,	PUNCT
ajst-24872	173	14	whereas	whereas	SCONJ
ajst-24872	173	15	healthy	healthy	ADJ
ajst-24872	173	16	black	black	ADJ
ajst-24872	173	17	patients	patient	NOUN
ajst-24872	173	18	scored	score	VERB
ajst-24872	173	19	3.7	3.7	NUM
ajst-24872	173	20	,	,	PUNCT
ajst-24872	173	21	showing	show	VERB
ajst-24872	173	22	significant	significant	ADJ
ajst-24872	173	23	differences	difference	NOUN
ajst-24872	173	24	based	base	VERB
ajst-24872	173	25	on	on	ADP
ajst-24872	173	26	health	health	NOUN
ajst-24872	173	27	status	status	NOUN
ajst-24872	173	28	and	and	CCONJ
ajst-24872	173	29	race	race	NOUN
ajst-24872	173	30	.	.	PUNCT
ajst-24872	174	1	among	among	ADP
ajst-24872	174	2	chronic	chronic	ADJ
ajst-24872	174	3	condition	condition	NOUN
ajst-24872	174	4	patients	patient	NOUN
ajst-24872	174	5	,	,	PUNCT
ajst-24872	174	6	white	white	ADJ
ajst-24872	174	7	patients	patient	NOUN
ajst-24872	174	8	had	have	VERB
ajst-24872	174	9	a	a	DET
ajst-24872	174	10	satisfaction	satisfaction	NOUN
ajst-24872	174	11	score	score	NOUN
ajst-24872	174	12	of	of	ADP
ajst-24872	174	13	4.5	4.5	NUM
ajst-24872	174	14	,	,	PUNCT
ajst-24872	174	15	while	while	SCONJ
ajst-24872	174	16	black	black	ADJ
ajst-24872	174	17	patients	patient	NOUN
ajst-24872	174	18	scored	score	VERB
ajst-24872	174	19	3.8	3.8	NUM
ajst-24872	174	20	.	.	PUNCT
ajst-24872	175	1	recruitment	recruitment	NOUN
ajst-24872	175	2	robots	robot	NOUN
ajst-24872	175	3	:	:	PUNCT
ajst-24872	175	4	white	white	ADJ
ajst-24872	175	5	candidates	candidate	NOUN
ajst-24872	175	6	for	for	ADP
ajst-24872	175	7	senior	senior	ADJ
ajst-24872	175	8	positions	position	NOUN
ajst-24872	175	9	had	have	VERB
ajst-24872	175	10	a	a	DET
ajst-24872	175	11	satisfaction	satisfaction	NOUN
ajst-24872	175	12	score	score	NOUN
ajst-24872	175	13	of	of	ADP
ajst-24872	175	14	4.7	4.7	NUM
ajst-24872	175	15	,	,	PUNCT
ajst-24872	175	16	compared	compare	VERB
ajst-24872	175	17	to	to	ADP
ajst-24872	175	18	3.9	3.9	NUM
ajst-24872	175	19	for	for	ADP
ajst-24872	175	20	black	black	ADJ
ajst-24872	175	21	candidates	candidate	NOUN
ajst-24872	175	22	,	,	PUNCT
ajst-24872	175	23	indicating	indicate	VERB
ajst-24872	175	24	biases	bias	NOUN
ajst-24872	175	25	related	relate	VERB
ajst-24872	175	26	to	to	ADP
ajst-24872	175	27	work	work	NOUN
ajst-24872	175	28	experience	experience	NOUN
ajst-24872	175	29	and	and	CCONJ
ajst-24872	175	30	race	race	NOUN
ajst-24872	175	31	.	.	PUNCT
ajst-24872	176	1	for	for	ADP
ajst-24872	176	2	junior	junior	ADJ
ajst-24872	176	3	positions	position	NOUN
ajst-24872	176	4	,	,	PUNCT
ajst-24872	176	5	white	white	ADJ
ajst-24872	176	6	candidates	candidate	NOUN
ajst-24872	176	7	had	have	VERB
ajst-24872	176	8	a	a	DET
ajst-24872	176	9	satisfaction	satisfaction	NOUN
ajst-24872	176	10	score	score	NOUN
ajst-24872	176	11	of	of	ADP
ajst-24872	176	12	4.5	4.5	NUM
ajst-24872	176	13	,	,	PUNCT
ajst-24872	176	14	while	while	SCONJ
ajst-24872	176	15	black	black	ADJ
ajst-24872	176	16	candidates	candidate	NOUN
ajst-24872	176	17	scored	score	VERB
ajst-24872	176	18	3.7	3.7	NUM
ajst-24872	176	19	.	.	PUNCT
ajst-24872	177	1	social	social	ADJ
ajst-24872	177	2	robots	robot	NOUN
ajst-24872	177	3	:	:	PUNCT
ajst-24872	177	4	the	the	DET
ajst-24872	177	5	friendliness	friendliness	ADJ
ajst-24872	177	6	score	score	NOUN
ajst-24872	177	7	for	for	ADP
ajst-24872	177	8	white	white	ADJ
ajst-24872	177	9	users	user	NOUN
ajst-24872	177	10	was	be	AUX
ajst-24872	177	11	4.5	4.5	NUM
ajst-24872	177	12	,	,	PUNCT
ajst-24872	177	13	compared	compare	VERB
ajst-24872	177	14	to	to	ADP
ajst-24872	177	15	3.6	3.6	NUM
ajst-24872	177	16	for	for	ADP
ajst-24872	177	17	black	black	ADJ
ajst-24872	177	18	users	user	NOUN
ajst-24872	177	19	,	,	PUNCT
ajst-24872	177	20	demonstrating	demonstrate	VERB
ajst-24872	177	21	disparities	disparity	NOUN
ajst-24872	177	22	in	in	ADP
ajst-24872	177	23	interaction	interaction	NOUN
ajst-24872	177	24	experiences	experience	NOUN
ajst-24872	177	25	based	base	VERB
ajst-24872	177	26	on	on	ADP
ajst-24872	177	27	race	race	NOUN
ajst-24872	177	28	and	and	CCONJ
ajst-24872	177	29	social	social	ADJ
ajst-24872	177	30	status	status	NOUN
ajst-24872	177	31	.	.	PUNCT
ajst-24872	178	1	among	among	ADP
ajst-24872	178	2	students	student	NOUN
ajst-24872	178	3	,	,	PUNCT
ajst-24872	178	4	white	white	ADJ
ajst-24872	178	5	users	user	NOUN
ajst-24872	178	6	had	have	VERB
ajst-24872	178	7	a	a	DET
ajst-24872	178	8	satisfaction	satisfaction	NOUN
ajst-24872	178	9	score	score	NOUN
ajst-24872	178	10	of	of	ADP
ajst-24872	178	11	4.4	4.4	NUM
ajst-24872	178	12	,	,	PUNCT
ajst-24872	178	13	while	while	SCONJ
ajst-24872	178	14	black	black	ADJ
ajst-24872	178	15	users	user	NOUN
ajst-24872	178	16	scored	score	VERB
ajst-24872	178	17	3.5	3.5	NUM
ajst-24872	178	18	.	.	PUNCT
ajst-24872	179	1	we	we	PRON
ajst-24872	179	2	propose	propose	VERB
ajst-24872	179	3	several	several	ADJ
ajst-24872	179	4	improvement	improvement	NOUN
ajst-24872	179	5	methods	method	NOUN
ajst-24872	179	6	,	,	PUNCT
ajst-24872	179	7	including	include	VERB
ajst-24872	179	8	data	datum	NOUN
ajst-24872	179	9	resampling	resampling	NOUN
ajst-24872	179	10	,	,	PUNCT
ajst-24872	179	11	model	model	NOUN
ajst-24872	179	12	regularization	regularization	NOUN
ajst-24872	179	13	,	,	PUNCT
ajst-24872	179	14	post	post	ADJ
ajst-24872	179	15	-	-	ADJ
ajst-24872	179	16	processing	processing	ADJ
ajst-24872	179	17	techniques	technique	NOUN
ajst-24872	179	18	,	,	PUNCT
ajst-24872	179	19	diversity	diversity	NOUN
ajst-24872	179	20	assessment	assessment	NOUN
ajst-24872	179	21	,	,	PUNCT
ajst-24872	179	22	and	and	CCONJ
ajst-24872	179	23	user	user	NOUN
ajst-24872	179	24	feedback	feedback	NOUN
ajst-24872	179	25	mechanisms	mechanism	NOUN
ajst-24872	179	26	.	.	PUNCT
ajst-24872	180	1	these	these	DET
ajst-24872	180	2	strategies	strategy	NOUN
ajst-24872	180	3	aim	aim	VERB
ajst-24872	180	4	to	to	PART
ajst-24872	180	5	enhance	enhance	VERB
ajst-24872	180	6	the	the	DET
ajst-24872	180	7	fairness	fairness	NOUN
ajst-24872	180	8	and	and	CCONJ
ajst-24872	180	9	inclusivity	inclusivity	NOUN
ajst-24872	180	10	of	of	ADP
ajst-24872	180	11	robotic	robotic	ADJ
ajst-24872	180	12	systems	system	NOUN
ajst-24872	180	13	,	,	PUNCT
ajst-24872	180	14	fostering	foster	VERB
ajst-24872	180	15	healthier	healthy	ADJ
ajst-24872	180	16	human	human	ADJ
ajst-24872	180	17	-	-	PUNCT
ajst-24872	180	18	robot	robot	NOUN
ajst-24872	180	19	interactions	interaction	NOUN
ajst-24872	180	20	.	.	PUNCT
ajst-24872	181	1	our	our	PRON
ajst-24872	181	2	findings	finding	NOUN
ajst-24872	181	3	underscore	underscore	VERB
ajst-24872	181	4	the	the	DET
ajst-24872	181	5	significant	significant	ADJ
ajst-24872	181	6	bias	bias	NOUN
ajst-24872	181	7	behaviors	behavior	NOUN
ajst-24872	181	8	in	in	ADP
ajst-24872	181	9	llm	llm	NOUN
ajst-24872	181	10	-	-	PUNCT
ajst-24872	181	11	based	base	VERB
ajst-24872	181	12	robots	robot	NOUN
ajst-24872	181	13	across	across	ADP
ajst-24872	181	14	different	different	ADJ
ajst-24872	181	15	application	application	NOUN
ajst-24872	181	16	scenarios	scenario	NOUN
ajst-24872	181	17	and	and	CCONJ
ajst-24872	181	18	highlight	highlight	VERB
ajst-24872	181	19	the	the	DET
ajst-24872	181	20	importance	importance	NOUN
ajst-24872	181	21	of	of	ADP
ajst-24872	181	22	bias	bias	NOUN
ajst-24872	181	23	detection	detection	NOUN
ajst-24872	181	24	and	and	CCONJ
ajst-24872	181	25	mitigation	mitigation	NOUN
ajst-24872	181	26	to	to	PART
ajst-24872	181	27	ensure	ensure	VERB
ajst-24872	181	28	the	the	DET
ajst-24872	181	29	fairness	fairness	NOUN
ajst-24872	181	30	and	and	CCONJ
ajst-24872	181	31	effectiveness	effectiveness	NOUN
ajst-24872	181	32	of	of	ADP
ajst-24872	181	33	these	these	DET
ajst-24872	181	34	systems	system	NOUN
ajst-24872	181	35	.	.	PUNCT
ajst-24872	182	1	by	by	ADP
ajst-24872	182	2	employing	employ	VERB
ajst-24872	182	3	quantitative	quantitative	ADJ
ajst-24872	182	4	analysis	analysis	NOUN
ajst-24872	182	5	and	and	CCONJ
ajst-24872	182	6	empirical	empirical	ADJ
ajst-24872	182	7	data	datum	NOUN
ajst-24872	182	8	,	,	PUNCT
ajst-24872	182	9	we	we	PRON
ajst-24872	182	10	validate	validate	VERB
ajst-24872	182	11	existing	exist	VERB
ajst-24872	182	12	research	research	NOUN
ajst-24872	182	13	conclusions	conclusion	NOUN
ajst-24872	182	14	and	and	CCONJ
ajst-24872	182	15	propose	propose	VERB
ajst-24872	182	16	effective	effective	ADJ
ajst-24872	182	17	improvement	improvement	NOUN
ajst-24872	182	18	strategies	strategy	NOUN
ajst-24872	182	19	.	.	PUNCT
ajst-24872	183	1	future	future	ADJ
ajst-24872	183	2	research	research	NOUN
ajst-24872	183	3	should	should	AUX
ajst-24872	183	4	delve	delve	VERB
ajst-24872	183	5	further	far	ADV
ajst-24872	183	6	into	into	ADP
ajst-24872	183	7	data	data	NOUN
ajst-24872	183	8	balancing	balancing	NOUN
ajst-24872	183	9	strategies	strategy	NOUN
ajst-24872	183	10	,	,	PUNCT
ajst-24872	183	11	fairness	fairness	NOUN
ajst-24872	183	12	-	-	PUNCT
ajst-24872	183	13	constrained	constrain	VERB
ajst-24872	183	14	models	model	NOUN
ajst-24872	183	15	,	,	PUNCT
ajst-24872	183	16	real	real	ADJ
ajst-24872	183	17	-	-	PUNCT
ajst-24872	183	18	time	time	NOUN
ajst-24872	183	19	monitoring	monitoring	NOUN
ajst-24872	183	20	and	and	CCONJ
ajst-24872	183	21	adjustment	adjustment	NOUN
ajst-24872	183	22	mechanisms	mechanism	NOUN
ajst-24872	183	23	,	,	PUNCT
ajst-24872	183	24	and	and	CCONJ
ajst-24872	183	25	crossdomain	crossdomain	ADJ
ajst-24872	183	26	studies	study	NOUN
ajst-24872	183	27	to	to	PART
ajst-24872	183	28	comprehensively	comprehensively	ADV
ajst-24872	183	29	evaluate	evaluate	VERB
ajst-24872	183	30	and	and	CCONJ
ajst-24872	183	31	enhance	enhance	VERB
ajst-24872	183	32	the	the	DET
ajst-24872	183	33	performance	performance	NOUN
ajst-24872	183	34	of	of	ADP
ajst-24872	183	35	llm	llm	NOUN
ajst-24872	183	36	-	-	PUNCT
ajst-24872	183	37	based	base	VERB
ajst-24872	183	38	robotic	robotic	ADJ
ajst-24872	183	39	systems	system	NOUN
ajst-24872	183	40	across	across	ADP
ajst-24872	183	41	various	various	ADJ
ajst-24872	183	42	tasks	task	NOUN
ajst-24872	183	43	.	.	PUNCT
ajst-24872	184	1	references	reference	NOUN
ajst-24872	184	2	[	[	X
ajst-24872	184	3	1	1	X
ajst-24872	184	4	]	]	X
ajst-24872	184	5	an	an	PROPN
ajst-24872	184	6	,	,	PUNCT
ajst-24872	184	7	h.	h.	PROPN
ajst-24872	184	8	,	,	PUNCT
ajst-24872	184	9	acquaye	acquaye	PROPN
ajst-24872	184	10	,	,	PUNCT
ajst-24872	184	11	c.	c.	PROPN
ajst-24872	184	12	,	,	PUNCT
ajst-24872	184	13	wang	wang	PROPN
ajst-24872	184	14	,	,	PUNCT
ajst-24872	184	15	c.	c.	PROPN
ajst-24872	184	16	,	,	PUNCT
ajst-24872	184	17	li	li	PROPN
ajst-24872	184	18	,	,	PUNCT
ajst-24872	184	19	z.	z.	PROPN
ajst-24872	184	20	,	,	PUNCT
ajst-24872	184	21	&	&	CCONJ
ajst-24872	184	22	rudinger	rudinger	PROPN
ajst-24872	184	23	,	,	PUNCT
ajst-24872	184	24	r.	r.	PROPN
ajst-24872	184	25	(	(	PUNCT
ajst-24872	184	26	2024	2024	NUM
ajst-24872	184	27	)	)	PUNCT
ajst-24872	184	28	.	.	PUNCT
ajst-24872	185	1	do	do	AUX
ajst-24872	185	2	large	large	ADJ
ajst-24872	185	3	language	language	NOUN
ajst-24872	185	4	models	model	NOUN
ajst-24872	185	5	discriminate	discriminate	VERB
ajst-24872	185	6	in	in	ADP
ajst-24872	185	7	hiring	hire	VERB
ajst-24872	185	8	decisions	decision	NOUN
ajst-24872	185	9	on	on	ADP
ajst-24872	185	10	the	the	DET
ajst-24872	185	11	basis	basis	NOUN
ajst-24872	185	12	of	of	ADP
ajst-24872	185	13	race	race	NOUN
ajst-24872	185	14	,	,	PUNCT
ajst-24872	185	15	ethnicity	ethnicity	NOUN
ajst-24872	185	16	,	,	PUNCT
ajst-24872	185	17	and	and	CCONJ
ajst-24872	185	18	gender	gender	NOUN
ajst-24872	185	19	?	?	PUNCT
ajst-24872	185	20	.	.	PUNCT
ajst-24872	186	1	arxiv	arxiv	PROPN
ajst-24872	186	2	preprint	preprint	VERB
ajst-24872	186	3	arxiv:2406.10486	arxiv:2406.10486	NOUN
ajst-24872	186	4	.	.	PUNCT
ajst-24872	187	1	[	[	X
ajst-24872	187	2	2	2	NUM
ajst-24872	187	3	]	]	X
ajst-24872	187	4	lin	lin	PROPN
ajst-24872	187	5	,	,	PUNCT
ajst-24872	187	6	y.	y.	PROPN
ajst-24872	187	7	(	(	PUNCT
ajst-24872	187	8	2024	2024	NUM
ajst-24872	187	9	)	)	PUNCT
ajst-24872	187	10	.	.	PUNCT
ajst-24872	188	1	application	application	NOUN
ajst-24872	188	2	and	and	CCONJ
ajst-24872	188	3	challenges	challenge	NOUN
ajst-24872	188	4	of	of	ADP
ajst-24872	188	5	computer	computer	NOUN
ajst-24872	188	6	networks	network	NOUN
ajst-24872	188	7	in	in	ADP
ajst-24872	188	8	distance	distance	NOUN
ajst-24872	188	9	education	education	NOUN
ajst-24872	188	10	.	.	PUNCT
ajst-24872	189	1	computing	computing	NOUN
ajst-24872	189	2	,	,	PUNCT
ajst-24872	189	3	performance	performance	NOUN
ajst-24872	189	4	and	and	CCONJ
ajst-24872	189	5	communication	communication	NOUN
ajst-24872	189	6	systems	system	NOUN
ajst-24872	189	7	,	,	PUNCT
ajst-24872	189	8	8(1	8(1	NOUN
ajst-24872	189	9	)	)	PUNCT
ajst-24872	189	10	,	,	PUNCT
ajst-24872	189	11	17	17	NUM
ajst-24872	189	12	-	-	SYM
ajst-24872	189	13	24	24	NUM
ajst-24872	189	14	.	.	PUNCT
ajst-24872	190	1	[	[	X
ajst-24872	190	2	3	3	NUM
ajst-24872	190	3	]	]	X
ajst-24872	190	4	lin	lin	PROPN
ajst-24872	190	5	,	,	PUNCT
ajst-24872	190	6	y.	y.	PROPN
ajst-24872	190	7	(	(	PUNCT
ajst-24872	190	8	2024	2024	NUM
ajst-24872	190	9	)	)	PUNCT
ajst-24872	190	10	.	.	PUNCT
ajst-24872	191	1	design	design	NOUN
ajst-24872	191	2	of	of	ADP
ajst-24872	191	3	urban	urban	ADJ
ajst-24872	191	4	road	road	NOUN
ajst-24872	191	5	fault	fault	NOUN
ajst-24872	191	6	detection	detection	NOUN
ajst-24872	191	7	system	system	NOUN
ajst-24872	191	8	based	base	VERB
ajst-24872	191	9	on	on	ADP
ajst-24872	191	10	artificial	artificial	ADJ
ajst-24872	191	11	neural	neural	ADJ
ajst-24872	191	12	network	network	NOUN
ajst-24872	191	13	and	and	CCONJ
ajst-24872	191	14	deep	deep	ADJ
ajst-24872	191	15	learning	learning	NOUN
ajst-24872	191	16	.	.	PUNCT
ajst-24872	192	1	frontiers	frontier	NOUN
ajst-24872	192	2	in	in	ADP
ajst-24872	192	3	neuroscience	neuroscience	NOUN
ajst-24872	192	4	,	,	PUNCT
ajst-24872	192	5	18	18	NUM
ajst-24872	192	6	,	,	PUNCT
ajst-24872	192	7	1369832	1369832	NUM
ajst-24872	192	8	.	.	PUNCT
ajst-24872	193	1	[	[	X
ajst-24872	193	2	4	4	NUM
ajst-24872	193	3	]	]	X
ajst-24872	193	4	caliskan	caliskan	PROPN
ajst-24872	193	5	,	,	PUNCT
ajst-24872	193	6	a.	a.	NOUN
ajst-24872	193	7	,	,	PUNCT
ajst-24872	193	8	ajay	ajay	NOUN
ajst-24872	193	9	,	,	PUNCT
ajst-24872	193	10	p.	p.	PROPN
ajst-24872	193	11	p.	p.	PROPN
ajst-24872	193	12	,	,	PUNCT
ajst-24872	193	13	charlesworth	charlesworth	NOUN
ajst-24872	193	14	,	,	PUNCT
ajst-24872	193	15	t.	t.	PROPN
ajst-24872	193	16	,	,	PUNCT
ajst-24872	193	17	wolfe	wolfe	PROPN
ajst-24872	193	18	,	,	PUNCT
ajst-24872	193	19	r.	r.	PROPN
ajst-24872	193	20	,	,	PUNCT
ajst-24872	193	21	&	&	CCONJ
ajst-24872	193	22	banaji	banaji	PROPN
ajst-24872	193	23	,	,	PUNCT
ajst-24872	193	24	m.	m.	PROPN
ajst-24872	193	25	r.	r.	PROPN
ajst-24872	193	26	(	(	PUNCT
ajst-24872	193	27	2022	2022	NUM
ajst-24872	193	28	,	,	PUNCT
ajst-24872	193	29	july	july	PROPN
ajst-24872	193	30	)	)	PUNCT
ajst-24872	193	31	.	.	PUNCT
ajst-24872	194	1	gender	gender	NOUN
ajst-24872	194	2	bias	bias	NOUN
ajst-24872	194	3	in	in	ADP
ajst-24872	194	4	word	word	NOUN
ajst-24872	194	5	embeddings	embedding	NOUN
ajst-24872	194	6	:	:	PUNCT
ajst-24872	194	7	a	a	DET
ajst-24872	194	8	comprehensive	comprehensive	ADJ
ajst-24872	194	9	analysis	analysis	NOUN
ajst-24872	194	10	of	of	ADP
ajst-24872	194	11	frequency	frequency	NOUN
ajst-24872	194	12	,	,	PUNCT
ajst-24872	194	13	syntax	syntax	NOUN
ajst-24872	194	14	,	,	PUNCT
ajst-24872	194	15	and	and	CCONJ
ajst-24872	194	16	semantics	semantic	NOUN
ajst-24872	194	17	.	.	PUNCT
ajst-24872	195	1	92	92	NUM
ajst-24872	195	2	in	in	ADP
ajst-24872	195	3	proceedings	proceeding	NOUN
ajst-24872	195	4	of	of	ADP
ajst-24872	195	5	the	the	DET
ajst-24872	195	6	2022	2022	NUM
ajst-24872	195	7	aaai	aaai	PROPN
ajst-24872	195	8	/	/	SYM
ajst-24872	195	9	acm	acm	PROPN
ajst-24872	195	10	conference	conference	NOUN
ajst-24872	195	11	on	on	ADP
ajst-24872	195	12	ai	ai	PROPN
ajst-24872	195	13	,	,	PUNCT
ajst-24872	195	14	ethics	ethic	NOUN
ajst-24872	195	15	,	,	PUNCT
ajst-24872	195	16	and	and	CCONJ
ajst-24872	195	17	society	society	NOUN
ajst-24872	195	18	(	(	PUNCT
ajst-24872	195	19	pp	pp	ADJ
ajst-24872	195	20	.	.	PUNCT
ajst-24872	196	1	156	156	NUM
ajst-24872	196	2	-	-	SYM
ajst-24872	196	3	170	170	NUM
ajst-24872	196	4	)	)	PUNCT
ajst-24872	196	5	.	.	PUNCT
ajst-24872	197	1	[	[	X
ajst-24872	197	2	5	5	NUM
ajst-24872	197	3	]	]	PUNCT
ajst-24872	197	4	haber	haber	PROPN
ajst-24872	197	5	,	,	PUNCT
ajst-24872	197	6	e.	e.	PROPN
ajst-24872	197	7	(	(	PUNCT
ajst-24872	197	8	2021	2021	NUM
ajst-24872	197	9	)	)	PUNCT
ajst-24872	197	10	.	.	PUNCT
ajst-24872	198	1	racial	racial	ADJ
ajst-24872	198	2	recognition	recognition	NOUN
ajst-24872	198	3	.	.	PUNCT
ajst-24872	199	1	cardozo	cardozo	PROPN
ajst-24872	199	2	l.	l.	PROPN
ajst-24872	199	3	rev	rev	PROPN
ajst-24872	199	4	.	.	PROPN
ajst-24872	199	5	,	,	PUNCT
ajst-24872	199	6	43	43	NUM
ajst-24872	199	7	,	,	PUNCT
ajst-24872	199	8	71	71	NUM
ajst-24872	199	9	.	.	PUNCT
ajst-24872	200	1	[	[	X
ajst-24872	200	2	6	6	NUM
ajst-24872	200	3	]	]	SYM
ajst-24872	200	4	yang	yang	PROPN
ajst-24872	200	5	,	,	PUNCT
ajst-24872	200	6	y.	y.	PROPN
ajst-24872	200	7	,	,	PUNCT
ajst-24872	200	8	guo	guo	PROPN
ajst-24872	200	9	,	,	PUNCT
ajst-24872	200	10	z.	z.	PROPN
ajst-24872	200	11	,	,	PUNCT
ajst-24872	200	12	gellman	gellman	PROPN
ajst-24872	200	13	,	,	PUNCT
ajst-24872	200	14	a.	a.	PROPN
ajst-24872	200	15	j.	j.	PROPN
ajst-24872	200	16	,	,	PUNCT
ajst-24872	200	17	&	&	CCONJ
ajst-24872	200	18	kitchin	kitchin	PROPN
ajst-24872	200	19	,	,	PUNCT
ajst-24872	200	20	j.	j.	PROPN
ajst-24872	200	21	(	(	PUNCT
ajst-24872	200	22	2022	2022	NUM
ajst-24872	200	23	,	,	PUNCT
ajst-24872	200	24	november	november	PROPN
ajst-24872	200	25	)	)	PUNCT
ajst-24872	200	26	.	.	PUNCT
ajst-24872	201	1	modeling	model	VERB
ajst-24872	201	2	ternary	ternary	ADJ
ajst-24872	201	3	alloy	alloy	NOUN
ajst-24872	201	4	segregation	segregation	NOUN
ajst-24872	201	5	with	with	ADP
ajst-24872	201	6	density	density	NOUN
ajst-24872	201	7	functional	functional	ADJ
ajst-24872	201	8	theory	theory	NOUN
ajst-24872	201	9	and	and	CCONJ
ajst-24872	201	10	machine	machine	NOUN
ajst-24872	201	11	learning	learning	NOUN
ajst-24872	201	12	.	.	PUNCT
ajst-24872	202	1	in	in	ADP
ajst-24872	202	2	2022	2022	NUM
ajst-24872	202	3	aiche	aiche	ADP
ajst-24872	202	4	annual	annual	ADJ
ajst-24872	202	5	meeting	meeting	NOUN
ajst-24872	202	6	.	.	PUNCT
ajst-24872	203	1	aiche	aiche	PROPN
ajst-24872	203	2	.	.	PUNCT
ajst-24872	204	1	[	[	X
ajst-24872	204	2	7	7	NUM
ajst-24872	204	3	]	]	SYM
ajst-24872	204	4	yang	yang	PROPN
ajst-24872	204	5	,	,	PUNCT
ajst-24872	204	6	y.	y.	PROPN
ajst-24872	204	7	,	,	PUNCT
ajst-24872	204	8	liu	liu	PROPN
ajst-24872	204	9	,	,	PUNCT
ajst-24872	204	10	m.	m.	NOUN
ajst-24872	204	11	,	,	PUNCT
ajst-24872	204	12	&	&	CCONJ
ajst-24872	204	13	kitchin	kitchin	PROPN
ajst-24872	204	14	,	,	PUNCT
ajst-24872	204	15	j.	j.	PROPN
ajst-24872	204	16	r.	r.	PROPN
ajst-24872	204	17	(	(	PUNCT
ajst-24872	204	18	2022	2022	NUM
ajst-24872	204	19	)	)	PUNCT
ajst-24872	204	20	.	.	PUNCT
ajst-24872	205	1	neural	neural	ADJ
ajst-24872	205	2	network	network	NOUN
ajst-24872	205	3	embeddings	embedding	NOUN
ajst-24872	205	4	based	base	VERB
ajst-24872	205	5	similarity	similarity	NOUN
ajst-24872	205	6	search	search	NOUN
ajst-24872	205	7	method	method	NOUN
ajst-24872	205	8	for	for	ADP
ajst-24872	205	9	atomistic	atomistic	ADJ
ajst-24872	205	10	systems	system	NOUN
ajst-24872	205	11	.	.	PUNCT
ajst-24872	206	1	digital	digital	ADJ
ajst-24872	206	2	discovery	discovery	PROPN
ajst-24872	206	3	,	,	PUNCT
ajst-24872	206	4	1(5	1(5	NUM
ajst-24872	206	5	)	)	PUNCT
ajst-24872	206	6	,	,	PUNCT
ajst-24872	206	7	636	636	NUM
ajst-24872	206	8	-	-	SYM
ajst-24872	206	9	644	644	NUM
ajst-24872	206	10	.	.	PUNCT
ajst-24872	207	1	[	[	X
ajst-24872	207	2	8	8	NUM
ajst-24872	207	3	]	]	SYM
ajst-24872	207	4	yang	yang	PROPN
ajst-24872	207	5	,	,	PUNCT
ajst-24872	207	6	y.	y.	PROPN
ajst-24872	207	7	,	,	PUNCT
ajst-24872	207	8	achar	achar	PROPN
ajst-24872	207	9	,	,	PUNCT
ajst-24872	207	10	s.	s.	PROPN
ajst-24872	207	11	k.	k.	PROPN
ajst-24872	207	12	,	,	PUNCT
ajst-24872	207	13	&	&	CCONJ
ajst-24872	207	14	kitchin	kitchin	PROPN
ajst-24872	207	15	,	,	PUNCT
ajst-24872	207	16	j.	j.	PROPN
ajst-24872	207	17	r.	r.	PROPN
ajst-24872	207	18	(	(	PUNCT
ajst-24872	207	19	2022	2022	NUM
ajst-24872	207	20	)	)	PUNCT
ajst-24872	207	21	.	.	PUNCT
ajst-24872	208	1	evaluation	evaluation	NOUN
ajst-24872	208	2	of	of	ADP
ajst-24872	208	3	the	the	DET
ajst-24872	208	4	degree	degree	NOUN
ajst-24872	208	5	of	of	ADP
ajst-24872	208	6	rate	rate	NOUN
ajst-24872	208	7	control	control	NOUN
ajst-24872	208	8	via	via	ADP
ajst-24872	208	9	automatic	automatic	ADJ
ajst-24872	208	10	differentiation	differentiation	NOUN
ajst-24872	208	11	.	.	PUNCT
ajst-24872	209	1	aiche	aiche	PROPN
ajst-24872	209	2	journal	journal	PROPN
ajst-24872	209	3	,	,	PUNCT
ajst-24872	209	4	68(6	68(6	NOUN
ajst-24872	209	5	)	)	PUNCT
ajst-24872	209	6	,	,	PUNCT
ajst-24872	209	7	e17653	e17653	X
ajst-24872	209	8	.	.	PUNCT
ajst-24872	210	1	[	[	X
ajst-24872	210	2	9	9	NUM
ajst-24872	210	3	]	]	SYM
ajst-24872	210	4	yang	yang	PROPN
ajst-24872	210	5	,	,	PUNCT
ajst-24872	210	6	y.	y.	PROPN
ajst-24872	210	7	,	,	PUNCT
ajst-24872	210	8	guo	guo	PROPN
ajst-24872	210	9	,	,	PUNCT
ajst-24872	210	10	z.	z.	PROPN
ajst-24872	210	11	,	,	PUNCT
ajst-24872	210	12	gellman	gellman	PROPN
ajst-24872	210	13	,	,	PUNCT
ajst-24872	210	14	a.	a.	PROPN
ajst-24872	210	15	j.	j.	PROPN
ajst-24872	210	16	,	,	PUNCT
ajst-24872	210	17	&	&	CCONJ
ajst-24872	210	18	kitchin	kitchin	PROPN
ajst-24872	210	19	,	,	PUNCT
ajst-24872	210	20	j.	j.	PROPN
ajst-24872	210	21	r.	r.	PROPN
ajst-24872	210	22	(	(	PUNCT
ajst-24872	210	23	2022	2022	NUM
ajst-24872	210	24	)	)	PUNCT
ajst-24872	210	25	.	.	PUNCT
ajst-24872	211	1	simulating	simulate	VERB
ajst-24872	211	2	segregation	segregation	NOUN
ajst-24872	211	3	in	in	ADP
ajst-24872	211	4	a	a	DET
ajst-24872	211	5	ternary	ternary	ADJ
ajst-24872	211	6	cu	cu	PROPN
ajst-24872	211	7	–	–	PUNCT
ajst-24872	211	8	pd	pd	X
ajst-24872	211	9	–	–	PUNCT
ajst-24872	211	10	au	au	VERB
ajst-24872	211	11	alloy	alloy	NOUN
ajst-24872	211	12	with	with	ADP
ajst-24872	211	13	density	density	NOUN
ajst-24872	211	14	functional	functional	ADJ
ajst-24872	211	15	theory	theory	NOUN
ajst-24872	211	16	,	,	PUNCT
ajst-24872	211	17	machine	machine	NOUN
ajst-24872	211	18	learning	learning	NOUN
ajst-24872	211	19	,	,	PUNCT
ajst-24872	211	20	and	and	CCONJ
ajst-24872	211	21	monte	monte	PROPN
ajst-24872	211	22	carlo	carlo	PROPN
ajst-24872	211	23	simulations	simulation	NOUN
ajst-24872	211	24	.	.	PUNCT
ajst-24872	212	1	the	the	DET
ajst-24872	212	2	journal	journal	NOUN
ajst-24872	212	3	of	of	ADP
ajst-24872	212	4	physical	physical	ADJ
ajst-24872	212	5	chemistry	chemistry	NOUN
ajst-24872	212	6	c	c	NOUN
ajst-24872	212	7	,	,	PUNCT
ajst-24872	212	8	126(4	126(4	NUM
ajst-24872	212	9	)	)	PUNCT
ajst-24872	212	10	,	,	PUNCT
ajst-24872	212	11	1800	1800	NUM
ajst-24872	212	12	-	-	SYM
ajst-24872	212	13	1808	1808	NUM
ajst-24872	212	14	.	.	PUNCT
ajst-24872	213	1	[	[	X
ajst-24872	213	2	10	10	NUM
ajst-24872	213	3	]	]	X
ajst-24872	213	4	gallegos	gallegos	PROPN
ajst-24872	213	5	,	,	PUNCT
ajst-24872	213	6	i.	i.	PROPN
ajst-24872	213	7	o.	o.	PROPN
ajst-24872	213	8	,	,	PUNCT
ajst-24872	213	9	rossi	rossi	PROPN
ajst-24872	213	10	,	,	PUNCT
ajst-24872	213	11	r.	r.	PROPN
ajst-24872	213	12	a.	a.	PROPN
ajst-24872	213	13	,	,	PUNCT
ajst-24872	213	14	barrow	barrow	PROPN
ajst-24872	213	15	,	,	PUNCT
ajst-24872	213	16	j.	j.	PROPN
ajst-24872	213	17	,	,	PUNCT
ajst-24872	213	18	tanjim	tanjim	ADJ
ajst-24872	213	19	,	,	PUNCT
ajst-24872	213	20	m.	m.	NOUN
ajst-24872	213	21	m.	m.	NOUN
ajst-24872	213	22	,	,	PUNCT
ajst-24872	213	23	kim	kim	PROPN
ajst-24872	213	24	,	,	PUNCT
ajst-24872	213	25	s.	s.	PROPN
ajst-24872	213	26	,	,	PUNCT
ajst-24872	213	27	dernoncourt	dernoncourt	PROPN
ajst-24872	213	28	,	,	PUNCT
ajst-24872	213	29	f.	f.	PROPN
ajst-24872	213	30	,	,	PUNCT
ajst-24872	213	31	...	...	PUNCT
ajst-24872	213	32	&	&	CCONJ
ajst-24872	213	33	ahmed	ahmed	PROPN
ajst-24872	213	34	,	,	PUNCT
ajst-24872	213	35	n.	n.	PROPN
ajst-24872	213	36	k.	k.	PROPN
ajst-24872	213	37	(	(	PUNCT
ajst-24872	213	38	2024	2024	NUM
ajst-24872	213	39	)	)	PUNCT
ajst-24872	213	40	.	.	PUNCT
ajst-24872	213	41	bias	bias	NOUN
ajst-24872	213	42	and	and	CCONJ
ajst-24872	213	43	fairness	fairness	NOUN
ajst-24872	213	44	in	in	ADP
ajst-24872	213	45	large	large	ADJ
ajst-24872	213	46	language	language	NOUN
ajst-24872	213	47	models	model	NOUN
ajst-24872	213	48	:	:	PUNCT
ajst-24872	213	49	a	a	DET
ajst-24872	213	50	survey	survey	NOUN
ajst-24872	213	51	.	.	PUNCT
ajst-24872	214	1	computational	computational	ADJ
ajst-24872	214	2	linguistics	linguistic	NOUN
ajst-24872	214	3	,	,	PUNCT
ajst-24872	214	4	1	1	NUM
ajst-24872	214	5	-	-	SYM
ajst-24872	214	6	79	79	NUM
ajst-24872	214	7	.	.	PUNCT
ajst-24872	215	1	[	[	X
ajst-24872	215	2	11	11	NUM
ajst-24872	215	3	]	]	SYM
ajst-24872	215	4	yang	yang	PROPN
ajst-24872	215	5	,	,	PUNCT
ajst-24872	215	6	j.	j.	PROPN
ajst-24872	215	7	(	(	PUNCT
ajst-24872	215	8	2024	2024	NUM
ajst-24872	215	9	)	)	PUNCT
ajst-24872	215	10	.	.	PUNCT
ajst-24872	216	1	data	data	NOUN
ajst-24872	216	2	-	-	PUNCT
ajst-24872	216	3	driven	drive	VERB
ajst-24872	216	4	investment	investment	NOUN
ajst-24872	216	5	strategies	strategy	NOUN
ajst-24872	216	6	in	in	ADP
ajst-24872	216	7	international	international	ADJ
ajst-24872	216	8	real	real	ADJ
ajst-24872	216	9	estate	estate	NOUN
ajst-24872	216	10	markets	market	NOUN
ajst-24872	216	11	:	:	PUNCT
ajst-24872	216	12	a	a	DET
ajst-24872	216	13	predictive	predictive	ADJ
ajst-24872	216	14	analytics	analytic	NOUN
ajst-24872	216	15	approach	approach	NOUN
ajst-24872	216	16	.	.	PUNCT
ajst-24872	217	1	international	international	ADJ
ajst-24872	217	2	journal	journal	PROPN
ajst-24872	217	3	of	of	ADP
ajst-24872	217	4	computer	computer	NOUN
ajst-24872	217	5	science	science	NOUN
ajst-24872	217	6	and	and	CCONJ
ajst-24872	217	7	information	information	NOUN
ajst-24872	217	8	technology	technology	NOUN
ajst-24872	217	9	,	,	PUNCT
ajst-24872	217	10	3(1	3(1	NUM
ajst-24872	217	11	)	)	PUNCT
ajst-24872	217	12	,	,	PUNCT
ajst-24872	217	13	247	247	NUM
ajst-24872	217	14	-	-	SYM
ajst-24872	217	15	258	258	NUM
ajst-24872	217	16	.	.	PUNCT
ajst-24872	218	1	[	[	X
ajst-24872	218	2	12	12	NUM
ajst-24872	218	3	]	]	SYM
ajst-24872	218	4	yang	yang	PROPN
ajst-24872	218	5	,	,	PUNCT
ajst-24872	218	6	j.	j.	PROPN
ajst-24872	218	7	(	(	PUNCT
ajst-24872	218	8	2024	2024	NUM
ajst-24872	218	9	)	)	PUNCT
ajst-24872	218	10	.	.	PUNCT
ajst-24872	219	1	comparative	comparative	ADJ
ajst-24872	219	2	analysis	analysis	NOUN
ajst-24872	219	3	of	of	ADP
ajst-24872	219	4	the	the	DET
ajst-24872	219	5	impact	impact	NOUN
ajst-24872	219	6	of	of	ADP
ajst-24872	219	7	advanced	advanced	ADJ
ajst-24872	219	8	information	information	NOUN
ajst-24872	219	9	technologies	technology	NOUN
ajst-24872	219	10	on	on	ADP
ajst-24872	219	11	the	the	DET
ajst-24872	219	12	international	international	ADJ
ajst-24872	219	13	real	real	ADJ
ajst-24872	219	14	estate	estate	NOUN
ajst-24872	219	15	market	market	NOUN
ajst-24872	219	16	.	.	PUNCT
ajst-24872	220	1	transactions	transaction	NOUN
ajst-24872	220	2	on	on	ADP
ajst-24872	220	3	economics	economic	NOUN
ajst-24872	220	4	,	,	PUNCT
ajst-24872	220	5	business	business	NOUN
ajst-24872	220	6	and	and	CCONJ
ajst-24872	220	7	management	management	NOUN
ajst-24872	220	8	research	research	NOUN
ajst-24872	220	9	,	,	PUNCT
ajst-24872	220	10	7	7	NUM
ajst-24872	220	11	,	,	PUNCT
ajst-24872	220	12	102	102	NUM
ajst-24872	220	13	-	-	SYM
ajst-24872	220	14	108	108	NUM
ajst-24872	220	15	.	.	PUNCT
ajst-24872	221	1	[	[	X
ajst-24872	221	2	13	13	NUM
ajst-24872	221	3	]	]	SYM
ajst-24872	221	4	yang	yang	PROPN
ajst-24872	221	5	,	,	PUNCT
ajst-24872	221	6	j.	j.	PROPN
ajst-24872	221	7	(	(	PUNCT
ajst-24872	221	8	2024	2024	NUM
ajst-24872	221	9	)	)	PUNCT
ajst-24872	221	10	.	.	PUNCT
ajst-24872	222	1	application	application	NOUN
ajst-24872	222	2	of	of	ADP
ajst-24872	222	3	business	business	NOUN
ajst-24872	222	4	information	information	NOUN
ajst-24872	222	5	management	management	NOUN
ajst-24872	222	6	in	in	ADP
ajst-24872	222	7	cross	cross	ADJ
ajst-24872	222	8	-	-	ADJ
ajst-24872	222	9	border	border	ADJ
ajst-24872	222	10	real	real	ADJ
ajst-24872	222	11	estate	estate	NOUN
ajst-24872	222	12	project	project	NOUN
ajst-24872	222	13	management	management	NOUN
ajst-24872	222	14	.	.	PUNCT
ajst-24872	223	1	international	international	ADJ
ajst-24872	223	2	journal	journal	PROPN
ajst-24872	223	3	of	of	ADP
ajst-24872	223	4	social	social	ADJ
ajst-24872	223	5	sciences	science	NOUN
ajst-24872	223	6	and	and	CCONJ
ajst-24872	223	7	public	public	ADJ
ajst-24872	223	8	administration	administration	NOUN
ajst-24872	223	9	,	,	PUNCT
ajst-24872	223	10	3(2	3(2	NUM
ajst-24872	223	11	)	)	PUNCT
ajst-24872	223	12	,	,	PUNCT
ajst-24872	223	13	204	204	NUM
ajst-24872	223	14	-	-	SYM
ajst-24872	223	15	213	213	NUM
ajst-24872	223	16	.	.	PUNCT
ajst-24872	224	1	[	[	X
ajst-24872	224	2	14	14	NUM
ajst-24872	224	3	]	]	PUNCT
ajst-24872	224	4	acconito	acconito	PROPN
ajst-24872	224	5	,	,	PUNCT
ajst-24872	224	6	c.	c.	PROPN
ajst-24872	224	7	,	,	PUNCT
ajst-24872	224	8	angioletti	angioletti	PROPN
ajst-24872	224	9	,	,	PUNCT
ajst-24872	224	10	l.	l.	PROPN
ajst-24872	224	11	,	,	PUNCT
ajst-24872	224	12	&	&	CCONJ
ajst-24872	224	13	balconi	balconi	PROPN
ajst-24872	224	14	,	,	PUNCT
ajst-24872	224	15	m.	m.	NOUN
ajst-24872	224	16	(	(	PUNCT
ajst-24872	224	17	2024	2024	NUM
ajst-24872	224	18	)	)	PUNCT
ajst-24872	224	19	.	.	PUNCT
ajst-24872	225	1	can	can	AUX
ajst-24872	225	2	professionals	professional	NOUN
ajst-24872	225	3	resist	resist	VERB
ajst-24872	225	4	cognitive	cognitive	ADJ
ajst-24872	225	5	bias	bias	NOUN
ajst-24872	225	6	elicited	elicit	VERB
ajst-24872	225	7	by	by	ADP
ajst-24872	225	8	the	the	DET
ajst-24872	225	9	visual	visual	ADJ
ajst-24872	225	10	system	system	NOUN
ajst-24872	225	11	?	?	PUNCT
ajst-24872	226	1	reversed	reverse	VERB
ajst-24872	226	2	semantic	semantic	ADJ
ajst-24872	226	3	prime	prime	ADJ
ajst-24872	226	4	effect	effect	NOUN
ajst-24872	226	5	and	and	CCONJ
ajst-24872	226	6	decision	decision	NOUN
ajst-24872	226	7	making	making	NOUN
ajst-24872	226	8	in	in	ADP
ajst-24872	226	9	the	the	DET
ajst-24872	226	10	workplace	workplace	NOUN
ajst-24872	226	11	:	:	PUNCT
ajst-24872	226	12	reaction	reaction	NOUN
ajst-24872	226	13	times	time	NOUN
ajst-24872	226	14	and	and	CCONJ
ajst-24872	226	15	accuracy	accuracy	NOUN
ajst-24872	226	16	.	.	PUNCT
ajst-24872	227	1	sensors	sensor	NOUN
ajst-24872	227	2	,	,	PUNCT
ajst-24872	227	3	24(12	24(12	NUM
ajst-24872	227	4	)	)	PUNCT
ajst-24872	227	5	,	,	PUNCT
ajst-24872	227	6	3999	3999	NUM
ajst-24872	227	7	.	.	PUNCT
ajst-24872	228	1	[	[	X
ajst-24872	228	2	15	15	NUM
ajst-24872	228	3	]	]	X
ajst-24872	228	4	shah	shah	NOUN
ajst-24872	228	5	,	,	PUNCT
ajst-24872	228	6	m.	m.	NOUN
ajst-24872	228	7	,	,	PUNCT
ajst-24872	228	8	&	&	CCONJ
ajst-24872	228	9	sureja	sureja	PROPN
ajst-24872	228	10	,	,	PUNCT
ajst-24872	228	11	n.	n.	PROPN
ajst-24872	228	12	(	(	PUNCT
ajst-24872	228	13	2024	2024	NUM
ajst-24872	228	14	)	)	PUNCT
ajst-24872	228	15	.	.	PUNCT
ajst-24872	229	1	a	a	DET
ajst-24872	229	2	comprehensive	comprehensive	ADJ
ajst-24872	229	3	review	review	NOUN
ajst-24872	229	4	of	of	ADP
ajst-24872	229	5	bias	bias	NOUN
ajst-24872	229	6	in	in	ADP
ajst-24872	229	7	deep	deep	ADJ
ajst-24872	229	8	learning	learning	NOUN
ajst-24872	229	9	models	model	NOUN
ajst-24872	229	10	:	:	PUNCT
ajst-24872	229	11	methods	method	NOUN
ajst-24872	229	12	,	,	PUNCT
ajst-24872	229	13	impacts	impact	NOUN
ajst-24872	229	14	,	,	PUNCT
ajst-24872	229	15	and	and	CCONJ
ajst-24872	229	16	future	future	ADJ
ajst-24872	229	17	directions	direction	NOUN
ajst-24872	229	18	.	.	PUNCT
ajst-24872	230	1	archives	archive	NOUN
ajst-24872	230	2	of	of	ADP
ajst-24872	230	3	computational	computational	ADJ
ajst-24872	230	4	methods	method	NOUN
ajst-24872	230	5	in	in	ADP
ajst-24872	230	6	engineering	engineering	NOUN
ajst-24872	230	7	,	,	PUNCT
ajst-24872	230	8	1	1	NUM
ajst-24872	230	9	-	-	SYM
ajst-24872	230	10	13	13	NUM
ajst-24872	230	11	.	.	PUNCT
ajst-24872	231	1	[	[	X
ajst-24872	231	2	16	16	NUM
ajst-24872	231	3	]	]	X
ajst-24872	231	4	wang	wang	PROPN
ajst-24872	231	5	,	,	PUNCT
ajst-24872	231	6	j.	j.	PROPN
ajst-24872	231	7	,	,	PUNCT
ajst-24872	231	8	li	li	PROPN
ajst-24872	231	9	,	,	PUNCT
ajst-24872	231	10	x.	x.	PROPN
ajst-24872	231	11	,	,	PUNCT
ajst-24872	231	12	jin	jin	PROPN
ajst-24872	231	13	,	,	PUNCT
ajst-24872	231	14	y.	y.	PROPN
ajst-24872	231	15	,	,	PUNCT
ajst-24872	231	16	zhong	zhong	PROPN
ajst-24872	231	17	,	,	PUNCT
ajst-24872	231	18	y.	y.	PROPN
ajst-24872	231	19	,	,	PUNCT
ajst-24872	231	20	zhang	zhang	PROPN
ajst-24872	231	21	,	,	PUNCT
ajst-24872	231	22	k.	k.	PROPN
ajst-24872	231	23	,	,	PUNCT
ajst-24872	231	24	&	&	CCONJ
ajst-24872	231	25	zhou	zhou	PROPN
ajst-24872	231	26	,	,	PUNCT
ajst-24872	231	27	c.	c.	PROPN
ajst-24872	231	28	(	(	PUNCT
ajst-24872	231	29	2024	2024	NUM
ajst-24872	231	30	)	)	PUNCT
ajst-24872	231	31	.	.	PUNCT
ajst-24872	232	1	research	research	NOUN
ajst-24872	232	2	on	on	ADP
ajst-24872	232	3	image	image	NOUN
ajst-24872	232	4	recognition	recognition	NOUN
ajst-24872	232	5	technology	technology	NOUN
ajst-24872	232	6	based	base	VERB
ajst-24872	232	7	on	on	ADP
ajst-24872	232	8	multimodal	multimodal	ADJ
ajst-24872	232	9	deep	deep	ADJ
ajst-24872	232	10	learning	learning	NOUN
ajst-24872	232	11	.	.	PUNCT
ajst-24872	233	1	arxiv	arxiv	PROPN
ajst-24872	233	2	preprint	preprint	PROPN
ajst-24872	233	3	arxiv:2405.03091	arxiv:2405.03091	NUM
ajst-24872	233	4	.	.	PUNCT
ajst-24872	234	1	[	[	X
ajst-24872	234	2	17	17	NUM
ajst-24872	234	3	]	]	X
ajst-24872	234	4	wang	wang	PROPN
ajst-24872	234	5	,	,	PUNCT
ajst-24872	234	6	j.	j.	PROPN
ajst-24872	234	7	,	,	PUNCT
ajst-24872	234	8	zhang	zhang	PROPN
ajst-24872	234	9	,	,	PUNCT
ajst-24872	234	10	h.	h.	PROPN
ajst-24872	234	11	,	,	PUNCT
ajst-24872	234	12	zhong	zhong	PROPN
ajst-24872	234	13	,	,	PUNCT
ajst-24872	234	14	y.	y.	PROPN
ajst-24872	234	15	,	,	PUNCT
ajst-24872	234	16	liang	liang	PROPN
ajst-24872	234	17	,	,	PUNCT
ajst-24872	234	18	y.	y.	PROPN
ajst-24872	234	19	,	,	PUNCT
ajst-24872	234	20	ji	ji	PROPN
ajst-24872	234	21	,	,	PUNCT
ajst-24872	234	22	r.	r.	PROPN
ajst-24872	234	23	,	,	PUNCT
ajst-24872	234	24	&	&	CCONJ
ajst-24872	234	25	cang	cang	PROPN
ajst-24872	234	26	,	,	PUNCT
ajst-24872	234	27	y.	y.	PROPN
ajst-24872	234	28	(	(	PUNCT
ajst-24872	234	29	2024	2024	NUM
ajst-24872	234	30	,	,	PUNCT
ajst-24872	234	31	may	may	AUX
ajst-24872	234	32	)	)	PUNCT
ajst-24872	234	33	.	.	PUNCT
ajst-24872	235	1	advanced	advanced	ADJ
ajst-24872	235	2	multimodal	multimodal	NOUN
ajst-24872	235	3	deep	deep	ADJ
ajst-24872	235	4	learning	learn	VERB
ajst-24872	235	5	architecture	architecture	NOUN
ajst-24872	235	6	for	for	ADP
ajst-24872	235	7	image	image	NOUN
ajst-24872	235	8	-	-	PUNCT
ajst-24872	235	9	text	text	NOUN
ajst-24872	235	10	matching	matching	NOUN
ajst-24872	235	11	.	.	PUNCT
ajst-24872	236	1	in	in	ADP
ajst-24872	236	2	2024	2024	NUM
ajst-24872	236	3	ieee	ieee	NOUN
ajst-24872	236	4	4th	4th	ADJ
ajst-24872	236	5	international	international	ADJ
ajst-24872	236	6	conference	conference	NOUN
ajst-24872	236	7	on	on	ADP
ajst-24872	236	8	electronic	electronic	ADJ
ajst-24872	236	9	technology	technology	NOUN
ajst-24872	236	10	,	,	PUNCT
ajst-24872	236	11	communication	communication	NOUN
ajst-24872	236	12	and	and	CCONJ
ajst-24872	236	13	information	information	NOUN
ajst-24872	236	14	(	(	PUNCT
ajst-24872	236	15	icetci	icetci	PROPN
ajst-24872	236	16	)	)	PUNCT
ajst-24872	236	17	(	(	PUNCT
ajst-24872	236	18	pp	pp	X
ajst-24872	236	19	.	.	PUNCT
ajst-24872	237	1	1185	1185	NUM
ajst-24872	237	2	-	-	SYM
ajst-24872	237	3	1191	1191	NUM
ajst-24872	237	4	)	)	PUNCT
ajst-24872	237	5	.	.	PUNCT
ajst-24872	238	1	ieee	ieee	PROPN
ajst-24872	238	2	.	.	PUNCT
ajst-24872	239	1	[	[	X
ajst-24872	239	2	18	18	NUM
ajst-24872	239	3	]	]	X
ajst-24872	239	4	abdullah	abdullah	PROPN
ajst-24872	239	5	,	,	PUNCT
ajst-24872	239	6	n.	n.	PROPN
ajst-24872	239	7	a.	a.	PROPN
ajst-24872	239	8	,	,	PUNCT
ajst-24872	239	9	feizollah	feizollah	PROPN
ajst-24872	239	10	,	,	PUNCT
ajst-24872	239	11	a.	a.	NOUN
ajst-24872	239	12	,	,	PUNCT
ajst-24872	239	13	sulaiman	sulaiman	PROPN
ajst-24872	239	14	,	,	PUNCT
ajst-24872	239	15	a.	a.	PROPN
ajst-24872	239	16	,	,	PUNCT
ajst-24872	239	17	&	&	CCONJ
ajst-24872	239	18	anuar	anuar	PROPN
ajst-24872	239	19	,	,	PUNCT
ajst-24872	239	20	n.	n.	PROPN
ajst-24872	239	21	b.	b.	PROPN
ajst-24872	239	22	(	(	PUNCT
ajst-24872	239	23	2019	2019	NUM
ajst-24872	239	24	)	)	PUNCT
ajst-24872	239	25	.	.	PUNCT
ajst-24872	240	1	challenges	challenge	NOUN
ajst-24872	240	2	and	and	CCONJ
ajst-24872	240	3	recommended	recommend	VERB
ajst-24872	240	4	solutions	solution	NOUN
ajst-24872	240	5	in	in	ADP
ajst-24872	240	6	multi	multi	ADJ
ajst-24872	240	7	-	-	NOUN
ajst-24872	240	8	source	source	NOUN
ajst-24872	240	9	and	and	CCONJ
ajst-24872	240	10	multi	multi	ADJ
ajst-24872	240	11	-	-	ADJ
ajst-24872	240	12	domain	domain	ADJ
ajst-24872	240	13	sentiment	sentiment	NOUN
ajst-24872	240	14	analysis	analysis	NOUN
ajst-24872	240	15	.	.	PUNCT
ajst-24872	241	1	ieee	ieee	NOUN
ajst-24872	241	2	access	access	NOUN
ajst-24872	241	3	,	,	PUNCT
ajst-24872	241	4	7	7	NUM
ajst-24872	241	5	,	,	PUNCT
ajst-24872	241	6	144957144971	144957144971	NUM
ajst-24872	241	7	.	.	PUNCT
ajst-24872	242	1	[	[	X
ajst-24872	242	2	19	19	NUM
ajst-24872	242	3	]	]	X
ajst-24872	242	4	wang	wang	PROPN
ajst-24872	242	5	,	,	PUNCT
ajst-24872	242	6	c.	c.	PROPN
ajst-24872	242	7	,	,	PUNCT
ajst-24872	242	8	yang	yang	PROPN
ajst-24872	242	9	,	,	PUNCT
ajst-24872	242	10	h.	h.	PROPN
ajst-24872	242	11	,	,	PUNCT
ajst-24872	242	12	chen	chen	PROPN
ajst-24872	242	13	,	,	PUNCT
ajst-24872	242	14	y.	y.	PROPN
ajst-24872	242	15	,	,	PUNCT
ajst-24872	242	16	sun	sun	PROPN
ajst-24872	242	17	,	,	PUNCT
ajst-24872	242	18	l.	l.	PROPN
ajst-24872	242	19	,	,	PUNCT
ajst-24872	242	20	wang	wang	PROPN
ajst-24872	242	21	,	,	PUNCT
ajst-24872	242	22	h.	h.	PROPN
ajst-24872	242	23	,	,	PUNCT
ajst-24872	242	24	&	&	CCONJ
ajst-24872	242	25	zhou	zhou	PROPN
ajst-24872	242	26	,	,	PUNCT
ajst-24872	242	27	y.	y.	PROPN
ajst-24872	242	28	(	(	PUNCT
ajst-24872	242	29	2012	2012	NUM
ajst-24872	242	30	)	)	PUNCT
ajst-24872	242	31	.	.	PUNCT
ajst-24872	243	1	identification	identification	NOUN
ajst-24872	243	2	of	of	ADP
ajst-24872	243	3	image	image	NOUN
ajst-24872	243	4	-	-	PUNCT
ajst-24872	243	5	spam	spam	NOUN
ajst-24872	243	6	based	base	VERB
ajst-24872	243	7	on	on	ADP
ajst-24872	243	8	perimetric	perimetric	ADJ
ajst-24872	243	9	complexity	complexity	NOUN
ajst-24872	243	10	analysis	analysis	NOUN
ajst-24872	243	11	and	and	CCONJ
ajst-24872	243	12	sift	sift	VERB
ajst-24872	243	13	image	image	NOUN
ajst-24872	243	14	matching	matching	NOUN
ajst-24872	243	15	algorithm	algorithm	NOUN
ajst-24872	243	16	.	.	PUNCT
ajst-24872	244	1	journal	journal	PROPN
ajst-24872	244	2	of	of	ADP
ajst-24872	244	3	information	information	NOUN
ajst-24872	244	4	&	&	CCONJ
ajst-24872	244	5	computational	computational	ADJ
ajst-24872	244	6	science	science	NOUN
ajst-24872	244	7	,	,	PUNCT
ajst-24872	244	8	9(4	9(4	NUM
ajst-24872	244	9	)	)	PUNCT
ajst-24872	244	10	,	,	PUNCT
ajst-24872	244	11	1073	1073	NUM
ajst-24872	244	12	-	-	SYM
ajst-24872	244	13	1081	1081	NUM
ajst-24872	244	14	.	.	PUNCT
ajst-24872	245	1	[	[	X
ajst-24872	245	2	20	20	NUM
ajst-24872	245	3	]	]	X
ajst-24872	245	4	zhang	zhang	PROPN
ajst-24872	245	5	,	,	PUNCT
ajst-24872	245	6	y.	y.	PROPN
ajst-24872	245	7	,	,	PUNCT
ajst-24872	245	8	li	li	PROPN
ajst-24872	245	9	,	,	PUNCT
ajst-24872	245	10	s.	s.	PROPN
ajst-24872	245	11	,	,	PUNCT
ajst-24872	245	12	deng	deng	PROPN
ajst-24872	245	13	,	,	PUNCT
ajst-24872	245	14	c.	c.	PROPN
ajst-24872	245	15	,	,	PUNCT
ajst-24872	245	16	wang	wang	PROPN
ajst-24872	245	17	,	,	PUNCT
ajst-24872	245	18	l.	l.	PROPN
ajst-24872	245	19	,	,	PUNCT
ajst-24872	245	20	&	&	CCONJ
ajst-24872	245	21	zhao	zhao	PROPN
ajst-24872	245	22	,	,	PUNCT
ajst-24872	245	23	h.	h.	PROPN
ajst-24872	245	24	(	(	PUNCT
ajst-24872	245	25	2024	2024	NUM
ajst-24872	245	26	)	)	PUNCT
ajst-24872	245	27	.	.	PUNCT
ajst-24872	245	28	think	think	VERB
ajst-24872	245	29	before	before	SCONJ
ajst-24872	245	30	you	you	PRON
ajst-24872	245	31	act	act	VERB
ajst-24872	245	32	:	:	PUNCT
ajst-24872	245	33	a	a	DET
ajst-24872	245	34	two	two	NUM
ajst-24872	245	35	-	-	PUNCT
ajst-24872	245	36	stage	stage	NOUN
ajst-24872	245	37	framework	framework	NOUN
ajst-24872	245	38	for	for	ADP
ajst-24872	245	39	mitigating	mitigate	VERB
ajst-24872	245	40	gender	gender	NOUN
ajst-24872	245	41	bias	bias	NOUN
ajst-24872	245	42	towards	towards	ADP
ajst-24872	245	43	vision	vision	NOUN
ajst-24872	245	44	-	-	PUNCT
ajst-24872	245	45	language	language	NOUN
ajst-24872	245	46	tasks	task	NOUN
ajst-24872	245	47	.	.	PUNCT
ajst-24872	246	1	arxiv	arxiv	PROPN
ajst-24872	246	2	preprint	preprint	NOUN
ajst-24872	246	3	arxiv:2405.16860	arxiv:2405.16860	NOUN
ajst-24872	246	4	.	.	PUNCT
ajst-24872	247	1	[	[	X
ajst-24872	247	2	21	21	NUM
ajst-24872	247	3	]	]	X
ajst-24872	247	4	shi	shi	PROPN
ajst-24872	247	5	,	,	PUNCT
ajst-24872	247	6	y.	y.	PROPN
ajst-24872	247	7	,	,	PUNCT
ajst-24872	247	8	ma	ma	PROPN
ajst-24872	247	9	,	,	PUNCT
ajst-24872	247	10	c.	c.	PROPN
ajst-24872	247	11	,	,	PUNCT
ajst-24872	247	12	wang	wang	PROPN
ajst-24872	247	13	,	,	PUNCT
ajst-24872	247	14	c.	c.	PROPN
ajst-24872	247	15	,	,	PUNCT
ajst-24872	247	16	wu	wu	PROPN
ajst-24872	247	17	,	,	PUNCT
ajst-24872	247	18	t.	t.	PROPN
ajst-24872	247	19	,	,	PUNCT
ajst-24872	247	20	&	&	CCONJ
ajst-24872	247	21	jiang	jiang	PROPN
ajst-24872	247	22	,	,	PUNCT
ajst-24872	247	23	x.	x.	PROPN
ajst-24872	247	24	(	(	PUNCT
ajst-24872	247	25	2024	2024	NUM
ajst-24872	247	26	,	,	PUNCT
ajst-24872	247	27	may	may	AUX
ajst-24872	247	28	)	)	PUNCT
ajst-24872	247	29	.	.	PUNCT
ajst-24872	248	1	harmonizing	harmonize	VERB
ajst-24872	248	2	emotions	emotion	NOUN
ajst-24872	248	3	:	:	PUNCT
ajst-24872	248	4	an	an	DET
ajst-24872	248	5	ai	ai	ADV
ajst-24872	248	6	-	-	PUNCT
ajst-24872	248	7	driven	drive	VERB
ajst-24872	248	8	sound	sound	NOUN
ajst-24872	248	9	therapy	therapy	NOUN
ajst-24872	248	10	system	system	NOUN
ajst-24872	248	11	design	design	NOUN
ajst-24872	248	12	for	for	ADP
ajst-24872	248	13	enhancing	enhance	VERB
ajst-24872	248	14	mental	mental	ADJ
ajst-24872	248	15	health	health	NOUN
ajst-24872	248	16	of	of	ADP
ajst-24872	248	17	older	old	ADJ
ajst-24872	248	18	adults	adult	NOUN
ajst-24872	248	19	.	.	PUNCT
ajst-24872	249	1	in	in	ADP
ajst-24872	249	2	international	international	ADJ
ajst-24872	249	3	conference	conference	NOUN
ajst-24872	249	4	on	on	ADP
ajst-24872	249	5	human	human	ADJ
ajst-24872	249	6	-	-	PUNCT
ajst-24872	249	7	computer	computer	NOUN
ajst-24872	249	8	interaction	interaction	NOUN
ajst-24872	249	9	(	(	PUNCT
ajst-24872	249	10	pp	pp	ADJ
ajst-24872	249	11	.	.	PUNCT
ajst-24872	249	12	439	439	NUM
ajst-24872	249	13	-	-	SYM
ajst-24872	249	14	455	455	NUM
ajst-24872	249	15	)	)	PUNCT
ajst-24872	249	16	.	.	PUNCT
ajst-24872	249	17	cham	cham	PROPN
ajst-24872	249	18	:	:	PUNCT
ajst-24872	249	19	springer	springer	NOUN
ajst-24872	249	20	nature	nature	PROPN
ajst-24872	249	21	switzerland	switzerland	PROPN
ajst-24872	249	22	.	.	PUNCT
ajst-24872	250	1	[	[	X
ajst-24872	250	2	22	22	NUM
ajst-24872	250	3	]	]	X
ajst-24872	250	4	schwartz	schwartz	PROPN
ajst-24872	250	5	,	,	PUNCT
ajst-24872	250	6	r.	r.	PROPN
ajst-24872	250	7	,	,	PUNCT
ajst-24872	250	8	schwartz	schwartz	PROPN
ajst-24872	250	9	,	,	PUNCT
ajst-24872	250	10	r.	r.	PROPN
ajst-24872	250	11	,	,	PUNCT
ajst-24872	250	12	vassilev	vassilev	NOUN
ajst-24872	250	13	,	,	PUNCT
ajst-24872	250	14	a.	a.	NOUN
ajst-24872	250	15	,	,	PUNCT
ajst-24872	250	16	greene	greene	PROPN
ajst-24872	250	17	,	,	PUNCT
ajst-24872	250	18	k.	k.	PROPN
ajst-24872	250	19	,	,	PUNCT
ajst-24872	250	20	perine	perine	PROPN
ajst-24872	250	21	,	,	PUNCT
ajst-24872	250	22	l.	l.	PROPN
ajst-24872	250	23	,	,	PUNCT
ajst-24872	250	24	burt	burt	PROPN
ajst-24872	250	25	,	,	PUNCT
ajst-24872	250	26	a.	a.	PROPN
ajst-24872	250	27	,	,	PUNCT
ajst-24872	250	28	&	&	CCONJ
ajst-24872	250	29	hall	hall	PROPN
ajst-24872	250	30	,	,	PUNCT
ajst-24872	250	31	p.	p.	NOUN
ajst-24872	250	32	(	(	PUNCT
ajst-24872	250	33	2022	2022	NUM
ajst-24872	250	34	)	)	PUNCT
ajst-24872	250	35	.	.	PUNCT
ajst-24872	251	1	towards	towards	ADP
ajst-24872	251	2	a	a	DET
ajst-24872	251	3	standard	standard	NOUN
ajst-24872	251	4	for	for	ADP
ajst-24872	251	5	identifying	identify	VERB
ajst-24872	251	6	and	and	CCONJ
ajst-24872	251	7	managing	manage	VERB
ajst-24872	251	8	bias	bias	NOUN
ajst-24872	251	9	in	in	ADP
ajst-24872	251	10	artificial	artificial	ADJ
ajst-24872	251	11	intelligence	intelligence	NOUN
ajst-24872	251	12	(	(	PUNCT
ajst-24872	251	13	vol	vol	NOUN
ajst-24872	251	14	.	.	PROPN
ajst-24872	251	15	3	3	NUM
ajst-24872	251	16	,	,	PUNCT
ajst-24872	251	17	p.	p.	NOUN
ajst-24872	251	18	00	00	NUM
ajst-24872	251	19	)	)	PUNCT
ajst-24872	251	20	.	.	PUNCT
ajst-24872	252	1	us	us	PROPN
ajst-24872	252	2	department	department	PROPN
ajst-24872	252	3	of	of	ADP
ajst-24872	252	4	commerce	commerce	PROPN
ajst-24872	252	5	,	,	PUNCT
ajst-24872	252	6	national	national	PROPN
ajst-24872	252	7	institute	institute	PROPN
ajst-24872	252	8	of	of	ADP
ajst-24872	252	9	standards	standard	NOUN
ajst-24872	252	10	and	and	CCONJ
ajst-24872	252	11	technology	technology	NOUN
ajst-24872	252	12	.	.	PUNCT
ajst-24872	253	1	[	[	X
ajst-24872	253	2	23	23	NUM
ajst-24872	253	3	]	]	X
ajst-24872	253	4	yao	yao	NOUN
ajst-24872	253	5	,	,	PUNCT
ajst-24872	253	6	y.	y.	PROPN
ajst-24872	253	7	(	(	PUNCT
ajst-24872	253	8	2022	2022	NUM
ajst-24872	253	9	)	)	PUNCT
ajst-24872	253	10	.	.	PUNCT
ajst-24872	254	1	a	a	DET
ajst-24872	254	2	review	review	NOUN
ajst-24872	254	3	of	of	ADP
ajst-24872	254	4	the	the	DET
ajst-24872	254	5	comprehensive	comprehensive	ADJ
ajst-24872	254	6	application	application	NOUN
ajst-24872	254	7	of	of	ADP
ajst-24872	254	8	big	big	ADJ
ajst-24872	254	9	data	datum	NOUN
ajst-24872	254	10	,	,	PUNCT
ajst-24872	254	11	artificial	artificial	ADJ
ajst-24872	254	12	intelligence	intelligence	NOUN
ajst-24872	254	13	,	,	PUNCT
ajst-24872	254	14	and	and	CCONJ
ajst-24872	254	15	internet	internet	NOUN
ajst-24872	254	16	of	of	ADP
ajst-24872	254	17	things	thing	NOUN
ajst-24872	254	18	technologies	technology	NOUN
ajst-24872	254	19	in	in	ADP
ajst-24872	254	20	smart	smart	ADJ
ajst-24872	254	21	cities	city	NOUN
ajst-24872	254	22	.	.	PUNCT
ajst-24872	255	1	journal	journal	NOUN
ajst-24872	255	2	of	of	ADP
ajst-24872	255	3	computational	computational	ADJ
ajst-24872	255	4	methods	method	NOUN
ajst-24872	255	5	in	in	ADP
ajst-24872	255	6	engineering	engineering	NOUN
ajst-24872	255	7	applications	application	NOUN
ajst-24872	255	8	,	,	PUNCT
ajst-24872	255	9	1	1	NUM
ajst-24872	255	10	-	-	SYM
ajst-24872	255	11	10	10	NUM
ajst-24872	255	12	.	.	PUNCT
ajst-24872	256	1	[	[	X
ajst-24872	256	2	24	24	NUM
ajst-24872	256	3	]	]	SYM
ajst-24872	256	4	pena	pena	PROPN
ajst-24872	256	5	,	,	PUNCT
ajst-24872	256	6	a.	a.	NOUN
ajst-24872	256	7	,	,	PUNCT
ajst-24872	256	8	serna	serna	PROPN
ajst-24872	256	9	,	,	PUNCT
ajst-24872	256	10	i.	i.	PROPN
ajst-24872	256	11	,	,	PUNCT
ajst-24872	256	12	morales	morale	NOUN
ajst-24872	256	13	,	,	PUNCT
ajst-24872	256	14	a.	a.	NOUN
ajst-24872	256	15	,	,	PUNCT
ajst-24872	256	16	&	&	CCONJ
ajst-24872	256	17	fierrez	fierrez	PROPN
ajst-24872	256	18	,	,	PUNCT
ajst-24872	256	19	j.	j.	PROPN
ajst-24872	256	20	(	(	PUNCT
ajst-24872	256	21	2020	2020	NUM
ajst-24872	256	22	)	)	PUNCT
ajst-24872	256	23	.	.	PUNCT
ajst-24872	256	24	bias	bias	NOUN
ajst-24872	256	25	in	in	ADP
ajst-24872	256	26	multimodal	multimodal	NOUN
ajst-24872	256	27	ai	ai	AUX
ajst-24872	256	28	:	:	PUNCT
ajst-24872	256	29	testbed	testbe	VERB
ajst-24872	256	30	for	for	ADP
ajst-24872	256	31	fair	fair	ADJ
ajst-24872	256	32	automatic	automatic	ADJ
ajst-24872	256	33	recruitment	recruitment	NOUN
ajst-24872	256	34	.	.	PUNCT
ajst-24872	257	1	in	in	ADP
ajst-24872	257	2	proceedings	proceeding	NOUN
ajst-24872	257	3	of	of	ADP
ajst-24872	257	4	the	the	DET
ajst-24872	257	5	ieee	ieee	NOUN
ajst-24872	257	6	/	/	SYM
ajst-24872	257	7	cvf	cvf	NOUN
ajst-24872	257	8	conference	conference	NOUN
ajst-24872	257	9	on	on	ADP
ajst-24872	257	10	computer	computer	NOUN
ajst-24872	257	11	vision	vision	NOUN
ajst-24872	257	12	and	and	CCONJ
ajst-24872	257	13	pattern	pattern	NOUN
ajst-24872	257	14	recognition	recognition	NOUN
ajst-24872	257	15	workshops	workshop	NOUN
ajst-24872	257	16	(	(	PUNCT
ajst-24872	257	17	pp	pp	ADJ
ajst-24872	257	18	.	.	PUNCT
ajst-24872	258	1	28	28	NUM
ajst-24872	258	2	-	-	SYM
ajst-24872	258	3	29	29	NUM
ajst-24872	258	4	)	)	PUNCT
ajst-24872	258	5	.	.	PUNCT
ajst-24872	259	1	[	[	X
ajst-24872	259	2	25	25	NUM
ajst-24872	259	3	]	]	PUNCT
ajst-24872	259	4	limantė	limantė	NOUN
ajst-24872	259	5	,	,	PUNCT
ajst-24872	259	6	a.	a.	NOUN
ajst-24872	259	7	(	(	PUNCT
ajst-24872	259	8	2024	2024	NUM
ajst-24872	259	9	)	)	PUNCT
ajst-24872	259	10	.	.	PUNCT
ajst-24872	260	1	bias	bias	NOUN
ajst-24872	260	2	in	in	ADP
ajst-24872	260	3	facial	facial	ADJ
ajst-24872	260	4	recognition	recognition	NOUN
ajst-24872	260	5	technologies	technology	NOUN
ajst-24872	260	6	used	use	VERB
ajst-24872	260	7	by	by	ADP
ajst-24872	260	8	law	law	NOUN
ajst-24872	260	9	enforcement	enforcement	NOUN
ajst-24872	260	10	:	:	PUNCT
ajst-24872	260	11	understanding	understand	VERB
ajst-24872	260	12	the	the	DET
ajst-24872	260	13	causes	cause	NOUN
ajst-24872	260	14	and	and	CCONJ
ajst-24872	260	15	searching	search	VERB
ajst-24872	260	16	for	for	ADP
ajst-24872	260	17	a	a	DET
ajst-24872	260	18	way	way	NOUN
ajst-24872	260	19	out	out	ADP
ajst-24872	260	20	.	.	PUNCT
ajst-24872	261	1	nordic	nordic	ADJ
ajst-24872	261	2	journal	journal	PROPN
ajst-24872	261	3	of	of	ADP
ajst-24872	261	4	human	human	ADJ
ajst-24872	261	5	rights	right	NOUN
ajst-24872	261	6	,	,	PUNCT
ajst-24872	261	7	42(2	42(2	NOUN
ajst-24872	261	8	)	)	PUNCT
ajst-24872	261	9	,	,	PUNCT
ajst-24872	261	10	115	115	NUM
ajst-24872	261	11	-	-	SYM
ajst-24872	261	12	134	134	NUM
ajst-24872	261	13	.	.	PUNCT
ajst-24872	262	1	[	[	X
ajst-24872	262	2	26	26	NUM
ajst-24872	262	3	]	]	X
ajst-24872	262	4	sun	sun	NOUN
ajst-24872	262	5	,	,	PUNCT
ajst-24872	262	6	l.	l.	PROPN
ajst-24872	262	7	(	(	PUNCT
ajst-24872	262	8	2024	2024	NUM
ajst-24872	262	9	)	)	PUNCT
ajst-24872	262	10	.	.	PUNCT
ajst-24872	263	1	securing	secure	VERB
ajst-24872	263	2	supply	supply	NOUN
ajst-24872	263	3	chains	chain	NOUN
ajst-24872	263	4	in	in	ADP
ajst-24872	263	5	open	open	ADJ
ajst-24872	263	6	source	source	NOUN
ajst-24872	263	7	ecosystems	ecosystem	NOUN
ajst-24872	263	8	:	:	PUNCT
ajst-24872	263	9	methodologies	methodology	NOUN
ajst-24872	263	10	for	for	ADP
ajst-24872	263	11	determining	determine	VERB
ajst-24872	263	12	version	version	NOUN
ajst-24872	263	13	numbers	number	NOUN
ajst-24872	263	14	of	of	ADP
ajst-24872	263	15	components	component	NOUN
ajst-24872	263	16	without	without	ADP
ajst-24872	263	17	package	package	NOUN
ajst-24872	263	18	management	management	NOUN
ajst-24872	263	19	files	file	NOUN
ajst-24872	263	20	.	.	PUNCT
ajst-24872	264	1	journal	journal	NOUN
ajst-24872	264	2	of	of	ADP
ajst-24872	264	3	computing	computing	NOUN
ajst-24872	264	4	and	and	CCONJ
ajst-24872	264	5	electronic	electronic	ADJ
ajst-24872	264	6	information	information	NOUN
ajst-24872	264	7	management	management	NOUN
ajst-24872	264	8	,	,	PUNCT
ajst-24872	264	9	12(1	12(1	NUM
ajst-24872	264	10	)	)	PUNCT
ajst-24872	264	11	,	,	PUNCT
ajst-24872	264	12	32	32	NUM
ajst-24872	264	13	-	-	SYM
ajst-24872	264	14	36	36	NUM
ajst-24872	264	15	.	.	PUNCT
ajst-24872	265	1	[	[	X
ajst-24872	265	2	27	27	NUM
ajst-24872	265	3	]	]	X
ajst-24872	265	4	soana	soana	PROPN
ajst-24872	265	5	,	,	PUNCT
ajst-24872	265	6	v.	v.	PROPN
ajst-24872	265	7	,	,	PUNCT
ajst-24872	265	8	shi	shi	PROPN
ajst-24872	265	9	,	,	PUNCT
ajst-24872	265	10	y.	y.	PROPN
ajst-24872	265	11	,	,	PUNCT
ajst-24872	265	12	&	&	CCONJ
ajst-24872	265	13	lin	lin	PROPN
ajst-24872	265	14	,	,	PUNCT
ajst-24872	265	15	t.	t.	PROPN
ajst-24872	265	16	a	a	DET
ajst-24872	265	17	mobile	mobile	ADJ
ajst-24872	265	18	,	,	PUNCT
ajst-24872	265	19	shape	shape	NOUN
ajst-24872	265	20	-	-	PUNCT
ajst-24872	265	21	changing	change	VERB
ajst-24872	265	22	architectural	architectural	ADJ
ajst-24872	265	23	system	system	NOUN
ajst-24872	265	24	:	:	PUNCT
ajst-24872	265	25	robotically	robotically	ADV
ajst-24872	265	26	-	-	PUNCT
ajst-24872	265	27	actuated	actuate	VERB
ajst-24872	265	28	bending	bending	NOUN
ajst-24872	265	29	-	-	PUNCT
ajst-24872	265	30	active	active	ADJ
ajst-24872	265	31	tensile	tensile	NOUN
ajst-24872	265	32	hybrid	hybrid	ADJ
ajst-24872	265	33	modules	module	NOUN
ajst-24872	265	34	.	.	PUNCT
ajst-24872	266	1	[	[	X
ajst-24872	266	2	28	28	NUM
ajst-24872	266	3	]	]	X
ajst-24872	266	4	thach	thach	PROPN
ajst-24872	266	5	,	,	PUNCT
ajst-24872	266	6	h.	h.	PROPN
ajst-24872	266	7	,	,	PUNCT
ajst-24872	266	8	mayworm	mayworm	PROPN
ajst-24872	266	9	,	,	PUNCT
ajst-24872	266	10	s.	s.	PROPN
ajst-24872	266	11	,	,	PUNCT
ajst-24872	266	12	delmonaco	delmonaco	VERB
ajst-24872	266	13	,	,	PUNCT
ajst-24872	266	14	d.	d.	PROPN
ajst-24872	266	15	,	,	PUNCT
ajst-24872	266	16	&	&	CCONJ
ajst-24872	266	17	haimson	haimson	PROPN
ajst-24872	266	18	,	,	PUNCT
ajst-24872	266	19	o.	o.	PROPN
ajst-24872	266	20	(	(	PUNCT
ajst-24872	266	21	2024	2024	NUM
ajst-24872	266	22	)	)	PUNCT
ajst-24872	266	23	.	.	PUNCT
ajst-24872	267	1	(	(	PUNCT
ajst-24872	267	2	in	in	ADP
ajst-24872	267	3	)	)	PUNCT
ajst-24872	267	4	visible	visible	ADJ
ajst-24872	267	5	moderation	moderation	NOUN
ajst-24872	267	6	:	:	PUNCT
ajst-24872	267	7	a	a	DET
ajst-24872	267	8	digital	digital	ADJ
ajst-24872	267	9	ethnography	ethnography	NOUN
ajst-24872	267	10	of	of	ADP
ajst-24872	267	11	marginalized	marginalize	VERB
ajst-24872	267	12	users	user	NOUN
ajst-24872	267	13	and	and	CCONJ
ajst-24872	267	14	content	content	ADJ
ajst-24872	267	15	moderation	moderation	NOUN
ajst-24872	267	16	on	on	ADP
ajst-24872	267	17	twitch	twitch	NOUN
ajst-24872	267	18	and	and	CCONJ
ajst-24872	267	19	reddit	reddit	NOUN
ajst-24872	267	20	.	.	PUNCT
ajst-24872	268	1	new	new	ADJ
ajst-24872	268	2	media	medium	NOUN
ajst-24872	268	3	&	&	CCONJ
ajst-24872	268	4	society	society	NOUN
ajst-24872	268	5	,	,	PUNCT
ajst-24872	268	6	26(7	26(7	NOUN
ajst-24872	268	7	)	)	PUNCT
ajst-24872	268	8	,	,	PUNCT
ajst-24872	268	9	4034	4034	NUM
ajst-24872	268	10	-	-	SYM
ajst-24872	268	11	4055	4055	NUM
ajst-24872	268	12	.	.	PUNCT
ajst-24872	269	1	[	[	X
ajst-24872	269	2	29	29	NUM
ajst-24872	269	3	]	]	X
ajst-24872	269	4	zhong	zhong	PROPN
ajst-24872	269	5	,	,	PUNCT
ajst-24872	269	6	y.	y.	PROPN
ajst-24872	269	7	,	,	PUNCT
ajst-24872	269	8	liu	liu	PROPN
ajst-24872	269	9	,	,	PUNCT
ajst-24872	269	10	y.	y.	PROPN
ajst-24872	269	11	,	,	PUNCT
ajst-24872	269	12	gao	gao	PROPN
ajst-24872	269	13	,	,	PUNCT
ajst-24872	269	14	e.	e.	PROPN
ajst-24872	269	15	,	,	PUNCT
ajst-24872	269	16	wei	wei	PROPN
ajst-24872	269	17	,	,	PUNCT
ajst-24872	269	18	c.	c.	PROPN
ajst-24872	269	19	,	,	PUNCT
ajst-24872	269	20	wang	wang	PROPN
ajst-24872	269	21	,	,	PUNCT
ajst-24872	269	22	z.	z.	PROPN
ajst-24872	269	23	,	,	PUNCT
ajst-24872	269	24	&	&	CCONJ
ajst-24872	269	25	yan	yan	PROPN
ajst-24872	269	26	,	,	PUNCT
ajst-24872	269	27	c.	c.	PROPN
ajst-24872	269	28	(	(	PUNCT
ajst-24872	269	29	2024	2024	NUM
ajst-24872	269	30	)	)	PUNCT
ajst-24872	269	31	.	.	PUNCT
ajst-24872	270	1	deep	deep	ADJ
ajst-24872	270	2	learning	learn	VERB
ajst-24872	270	3	solutions	solution	NOUN
ajst-24872	270	4	for	for	ADP
ajst-24872	270	5	pneumonia	pneumonia	NOUN
ajst-24872	270	6	detection	detection	NOUN
ajst-24872	270	7	:	:	PUNCT
ajst-24872	270	8	performance	performance	NOUN
ajst-24872	270	9	comparison	comparison	NOUN
ajst-24872	270	10	of	of	ADP
ajst-24872	270	11	custom	custom	NOUN
ajst-24872	270	12	and	and	CCONJ
ajst-24872	270	13	transfer	transfer	NOUN
ajst-24872	270	14	learning	learning	NOUN
ajst-24872	270	15	models	model	NOUN
ajst-24872	270	16	.	.	PUNCT
ajst-24872	271	1	medrxiv	medrxiv	PROPN
ajst-24872	271	2	,	,	PUNCT
ajst-24872	271	3	2024	2024	NUM
ajst-24872	271	4	-	-	SYM
ajst-24872	271	5	06	06	NUM
ajst-24872	271	6	.	.	PUNCT
ajst-24872	272	1	[	[	X
ajst-24872	272	2	30	30	NUM
ajst-24872	272	3	]	]	X
ajst-24872	272	4	gebru	gebru	NOUN
ajst-24872	272	5	,	,	PUNCT
ajst-24872	272	6	t.	t.	PROPN
ajst-24872	272	7	(	(	PUNCT
ajst-24872	272	8	2020	2020	NUM
ajst-24872	272	9	)	)	PUNCT
ajst-24872	272	10	.	.	PUNCT
ajst-24872	273	1	race	race	NOUN
ajst-24872	273	2	and	and	CCONJ
ajst-24872	273	3	gender	gender	NOUN
ajst-24872	273	4	.	.	PUNCT
ajst-24872	274	1	the	the	DET
ajst-24872	274	2	oxford	oxford	PROPN
ajst-24872	274	3	handbook	handbook	NOUN
ajst-24872	274	4	of	of	ADP
ajst-24872	274	5	ethics	ethic	NOUN
ajst-24872	274	6	of	of	ADP
ajst-24872	274	7	ai	ai	PROPN
ajst-24872	274	8	,	,	PUNCT
ajst-24872	274	9	251	251	NUM
ajst-24872	274	10	-	-	SYM
ajst-24872	274	11	269	269	NUM
ajst-24872	274	12	.	.	PUNCT
ajst-24872	275	1	[	[	X
ajst-24872	275	2	31	31	NUM
ajst-24872	275	3	]	]	X
ajst-24872	275	4	seo	seo	NOUN
ajst-24872	275	5	,	,	PUNCT
ajst-24872	275	6	s.	s.	PROPN
ajst-24872	275	7	(	(	PUNCT
ajst-24872	275	8	2022	2022	NUM
ajst-24872	275	9	)	)	PUNCT
ajst-24872	275	10	.	.	PUNCT
ajst-24872	276	1	when	when	SCONJ
ajst-24872	276	2	female	female	ADJ
ajst-24872	276	3	(	(	PUNCT
ajst-24872	276	4	male	male	NOUN
ajst-24872	276	5	)	)	PUNCT
ajst-24872	276	6	robot	robot	NOUN
ajst-24872	276	7	is	be	AUX
ajst-24872	276	8	talking	talk	VERB
ajst-24872	276	9	to	to	ADP
ajst-24872	276	10	me	i	PRON
ajst-24872	276	11	:	:	PUNCT
ajst-24872	276	12	effect	effect	NOUN
ajst-24872	276	13	of	of	ADP
ajst-24872	276	14	service	service	NOUN
ajst-24872	276	15	robots	robot	NOUN
ajst-24872	276	16	’	'	PUNCT
ajst-24872	276	17	gender	gender	NOUN
ajst-24872	276	18	and	and	CCONJ
ajst-24872	276	19	anthropomorphism	anthropomorphism	NOUN
ajst-24872	276	20	on	on	ADP
ajst-24872	276	21	customer	customer	NOUN
ajst-24872	276	22	satisfaction	satisfaction	NOUN
ajst-24872	276	23	.	.	PUNCT
ajst-24872	277	1	international	international	ADJ
ajst-24872	277	2	journal	journal	PROPN
ajst-24872	277	3	of	of	ADP
ajst-24872	277	4	hospitality	hospitality	PROPN
ajst-24872	277	5	management	management	NOUN
ajst-24872	277	6	,	,	PUNCT
ajst-24872	277	7	102	102	NUM
ajst-24872	277	8	,	,	PUNCT
ajst-24872	277	9	103166	103166	NUM
ajst-24872	277	10	.	.	PUNCT
ajst-24872	278	1	[	[	X
ajst-24872	278	2	32	32	NUM
ajst-24872	278	3	]	]	SYM
ajst-24872	278	4	an	an	PRON
ajst-24872	278	5	,	,	PUNCT
ajst-24872	278	6	l.	l.	PROPN
ajst-24872	278	7	,	,	PUNCT
ajst-24872	278	8	song	song	NOUN
ajst-24872	278	9	,	,	PUNCT
ajst-24872	278	10	c.	c.	PROPN
ajst-24872	278	11	,	,	PUNCT
ajst-24872	278	12	zhang	zhang	PROPN
ajst-24872	278	13	,	,	PUNCT
ajst-24872	278	14	q.	q.	PROPN
ajst-24872	278	15	,	,	PUNCT
ajst-24872	278	16	&	&	CCONJ
ajst-24872	278	17	wei	wei	PROPN
ajst-24872	278	18	,	,	PUNCT
ajst-24872	278	19	x.	x.	NOUN
ajst-24872	278	20	(	(	PUNCT
ajst-24872	278	21	2024	2024	NUM
ajst-24872	278	22	)	)	PUNCT
ajst-24872	278	23	.	.	PUNCT
ajst-24872	279	1	methods	method	NOUN
ajst-24872	279	2	for	for	ADP
ajst-24872	279	3	assessing	assess	VERB
ajst-24872	279	4	spillover	spillover	NOUN
ajst-24872	279	5	effects	effect	NOUN
ajst-24872	279	6	between	between	ADP
ajst-24872	279	7	concurrent	concurrent	ADJ
ajst-24872	279	8	green	green	ADJ
ajst-24872	279	9	initiatives	initiative	NOUN
ajst-24872	279	10	.	.	PUNCT
ajst-24872	280	1	methodsx	methodsx	PROPN
ajst-24872	280	2	,	,	PUNCT
ajst-24872	280	3	12	12	NUM
ajst-24872	280	4	,	,	PUNCT
ajst-24872	280	5	102672	102672	NUM
ajst-24872	280	6	.	.	PUNCT
ajst-24872	281	1	[	[	X
ajst-24872	281	2	33	33	NUM
ajst-24872	281	3	]	]	X
ajst-24872	281	4	kriebitz	kriebitz	PROPN
ajst-24872	281	5	,	,	PUNCT
ajst-24872	281	6	a.	a.	PROPN
ajst-24872	281	7	,	,	PUNCT
ajst-24872	281	8	max	max	PROPN
ajst-24872	281	9	,	,	PUNCT
ajst-24872	281	10	r.	r.	PROPN
ajst-24872	281	11	,	,	PUNCT
ajst-24872	281	12	&	&	CCONJ
ajst-24872	281	13	lütge	lütge	PROPN
ajst-24872	281	14	,	,	PUNCT
ajst-24872	281	15	c.	c.	PROPN
ajst-24872	281	16	(	(	PUNCT
ajst-24872	281	17	2022	2022	NUM
ajst-24872	281	18	)	)	PUNCT
ajst-24872	281	19	.	.	PUNCT
ajst-24872	282	1	the	the	DET
ajst-24872	282	2	german	german	ADJ
ajst-24872	282	3	act	act	NOUN
ajst-24872	282	4	on	on	ADP
ajst-24872	282	5	autonomous	autonomous	ADJ
ajst-24872	282	6	driving	driving	NOUN
ajst-24872	282	7	:	:	PUNCT
ajst-24872	282	8	why	why	SCONJ
ajst-24872	282	9	ethics	ethic	NOUN
ajst-24872	282	10	still	still	ADV
ajst-24872	282	11	matters	matter	VERB
ajst-24872	282	12	.	.	PUNCT
ajst-24872	283	1	philosophy	philosophy	NOUN
ajst-24872	283	2	&	&	CCONJ
ajst-24872	283	3	technology	technology	PROPN
ajst-24872	283	4	,	,	PUNCT
ajst-24872	283	5	35(2	35(2	NUM
ajst-24872	283	6	)	)	PUNCT
ajst-24872	283	7	,	,	PUNCT
ajst-24872	283	8	29	29	NUM
ajst-24872	283	9	.	.	PUNCT
ajst-24872	284	1	[	[	X
ajst-24872	284	2	34	34	NUM
ajst-24872	284	3	]	]	X
ajst-24872	284	4	shih	shih	NOUN
ajst-24872	284	5	,	,	PUNCT
ajst-24872	284	6	h.	h.	PROPN
ajst-24872	284	7	c.	c.	PROPN
ajst-24872	284	8	,	,	PUNCT
ajst-24872	284	9	wei	wei	PROPN
ajst-24872	284	10	,	,	PUNCT
ajst-24872	284	11	x.	x.	PROPN
ajst-24872	284	12	,	,	PUNCT
ajst-24872	284	13	an	an	PRON
ajst-24872	284	14	,	,	PUNCT
ajst-24872	284	15	l.	l.	PROPN
ajst-24872	284	16	,	,	PUNCT
ajst-24872	284	17	weeks	week	NOUN
ajst-24872	284	18	,	,	PUNCT
ajst-24872	284	19	j.	j.	PROPN
ajst-24872	284	20	,	,	PUNCT
ajst-24872	284	21	&	&	CCONJ
ajst-24872	284	22	stow	stow	NOUN
ajst-24872	284	23	,	,	PUNCT
ajst-24872	284	24	d.	d.	PROPN
ajst-24872	284	25	(	(	PUNCT
ajst-24872	284	26	2024	2024	NUM
ajst-24872	284	27	)	)	PUNCT
ajst-24872	284	28	.	.	PUNCT
ajst-24872	285	1	urban	urban	ADJ
ajst-24872	285	2	and	and	CCONJ
ajst-24872	285	3	rural	rural	ADJ
ajst-24872	285	4	bmi	bmi	NOUN
ajst-24872	285	5	trajectories	trajectory	NOUN
ajst-24872	285	6	in	in	ADP
ajst-24872	285	7	southeastern	southeastern	ADJ
ajst-24872	285	8	ghana	ghana	PROPN
ajst-24872	285	9	:	:	PUNCT
ajst-24872	285	10	a	a	DET
ajst-24872	285	11	space	space	NOUN
ajst-24872	285	12	-	-	PUNCT
ajst-24872	285	13	time	time	NOUN
ajst-24872	285	14	modeling	modeling	NOUN
ajst-24872	285	15	perspective	perspective	NOUN
ajst-24872	285	16	on	on	ADP
ajst-24872	285	17	spatial	spatial	ADJ
ajst-24872	285	18	autocorrelation	autocorrelation	NOUN
ajst-24872	285	19	.	.	PUNCT
ajst-24872	286	1	international	international	ADJ
ajst-24872	286	2	journal	journal	PROPN
ajst-24872	286	3	of	of	ADP
ajst-24872	286	4	geospatial	geospatial	ADJ
ajst-24872	286	5	and	and	CCONJ
ajst-24872	286	6	environmental	environmental	ADJ
ajst-24872	286	7	research	research	NOUN
ajst-24872	286	8	,	,	PUNCT
ajst-24872	286	9	11(1	11(1	NUM
ajst-24872	286	10	)	)	PUNCT
ajst-24872	286	11	,	,	PUNCT
ajst-24872	286	12	3	3	X
ajst-24872	286	13	.	.	PUNCT
ajst-24872	287	1	[	[	X
ajst-24872	287	2	35	35	NUM
ajst-24872	287	3	]	]	SYM
ajst-24872	287	4	yao	yao	NOUN
ajst-24872	287	5	,	,	PUNCT
ajst-24872	287	6	y.	y.	PROPN
ajst-24872	287	7	(	(	PUNCT
ajst-24872	287	8	2024	2024	NUM
ajst-24872	287	9	)	)	PUNCT
ajst-24872	287	10	.	.	PUNCT
ajst-24872	288	1	application	application	NOUN
ajst-24872	288	2	of	of	ADP
ajst-24872	288	3	artificial	artificial	ADJ
ajst-24872	288	4	intelligence	intelligence	NOUN
ajst-24872	288	5	in	in	ADP
ajst-24872	288	6	smart	smart	ADJ
ajst-24872	288	7	cities	city	NOUN
ajst-24872	288	8	:	:	PUNCT
ajst-24872	288	9	current	current	ADJ
ajst-24872	288	10	status	status	NOUN
ajst-24872	288	11	,	,	PUNCT
ajst-24872	288	12	challenges	challenge	NOUN
ajst-24872	288	13	and	and	CCONJ
ajst-24872	288	14	future	future	ADJ
ajst-24872	288	15	trends	trend	NOUN
ajst-24872	288	16	.	.	PUNCT
ajst-24872	289	1	international	international	ADJ
ajst-24872	289	2	journal	journal	NOUN
ajst-24872	289	3	of	of	ADP
ajst-24872	289	4	computer	computer	NOUN
ajst-24872	289	5	science	science	NOUN
ajst-24872	289	6	and	and	CCONJ
ajst-24872	289	7	information	information	NOUN
ajst-24872	289	8	technology	technology	NOUN
ajst-24872	289	9	,	,	PUNCT
ajst-24872	289	10	2(2	2(2	NUM
ajst-24872	289	11	)	)	PUNCT
ajst-24872	289	12	,	,	PUNCT
ajst-24872	289	13	324	324	NUM
ajst-24872	289	14	-	-	SYM
ajst-24872	289	15	333	333	NUM
ajst-24872	289	16	.	.	PUNCT
ajst-24872	290	1	[	[	X
ajst-24872	290	2	36	36	NUM
ajst-24872	290	3	]	]	SYM
ajst-24872	290	4	yao	yao	NOUN
ajst-24872	290	5	,	,	PUNCT
ajst-24872	290	6	y.	y.	PROPN
ajst-24872	290	7	(	(	PUNCT
ajst-24872	290	8	2024	2024	NUM
ajst-24872	290	9	)	)	PUNCT
ajst-24872	290	10	.	.	PUNCT
ajst-24872	291	1	digital	digital	ADJ
ajst-24872	291	2	government	government	NOUN
ajst-24872	291	3	information	information	NOUN
ajst-24872	291	4	platform	platform	NOUN
ajst-24872	291	5	construction	construction	NOUN
ajst-24872	291	6	:	:	PUNCT
ajst-24872	291	7	technology	technology	NOUN
ajst-24872	291	8	,	,	PUNCT
ajst-24872	291	9	challenges	challenge	NOUN
ajst-24872	291	10	and	and	CCONJ
ajst-24872	291	11	prospects	prospect	NOUN
ajst-24872	291	12	.	.	PUNCT
ajst-24872	292	1	93	93	NUM
ajst-24872	292	2	international	international	ADJ
ajst-24872	292	3	journal	journal	NOUN
ajst-24872	292	4	of	of	ADP
ajst-24872	292	5	social	social	ADJ
ajst-24872	292	6	sciences	science	NOUN
ajst-24872	292	7	and	and	CCONJ
ajst-24872	292	8	public	public	ADJ
ajst-24872	292	9	administration	administration	NOUN
ajst-24872	292	10	,	,	PUNCT
ajst-24872	292	11	2(3	2(3	NUM
ajst-24872	292	12	)	)	PUNCT
ajst-24872	292	13	,	,	PUNCT
ajst-24872	292	14	48	48	NUM
ajst-24872	292	15	-	-	SYM
ajst-24872	292	16	56	56	NUM
ajst-24872	292	17	.	.	PUNCT
ajst-24872	293	1	[	[	X
ajst-24872	293	2	37	37	NUM
ajst-24872	293	3	]	]	X
ajst-24872	293	4	lian	lian	PROPN
ajst-24872	293	5	,	,	PUNCT
ajst-24872	293	6	j.	j.	PROPN
ajst-24872	293	7	,	,	PUNCT
ajst-24872	293	8	&	&	CCONJ
ajst-24872	293	9	chen	chen	PROPN
ajst-24872	293	10	,	,	PUNCT
ajst-24872	293	11	t.	t.	PROPN
ajst-24872	293	12	(	(	PUNCT
ajst-24872	293	13	2024	2024	NUM
ajst-24872	293	14	)	)	PUNCT
ajst-24872	293	15	.	.	PUNCT
ajst-24872	294	1	research	research	NOUN
ajst-24872	294	2	on	on	ADP
ajst-24872	294	3	complex	complex	ADJ
ajst-24872	294	4	data	datum	NOUN
ajst-24872	294	5	mining	mining	NOUN
ajst-24872	294	6	analysis	analysis	NOUN
ajst-24872	294	7	and	and	CCONJ
ajst-24872	294	8	pattern	pattern	NOUN
ajst-24872	294	9	recognition	recognition	NOUN
ajst-24872	294	10	based	base	VERB
ajst-24872	294	11	on	on	ADP
ajst-24872	294	12	deep	deep	ADJ
ajst-24872	294	13	learning	learning	NOUN
ajst-24872	294	14	.	.	PUNCT
ajst-24872	295	1	journal	journal	NOUN
ajst-24872	295	2	of	of	ADP
ajst-24872	295	3	computing	computing	NOUN
ajst-24872	295	4	and	and	CCONJ
ajst-24872	295	5	electronic	electronic	ADJ
ajst-24872	295	6	information	information	NOUN
ajst-24872	295	7	management	management	NOUN
ajst-24872	295	8	,	,	PUNCT
ajst-24872	295	9	12(3	12(3	NUM
ajst-24872	295	10	)	)	PUNCT
ajst-24872	295	11	,	,	PUNCT
ajst-24872	295	12	37	37	NUM
ajst-24872	295	13	-	-	SYM
ajst-24872	295	14	41	41	NUM
ajst-24872	295	15	.	.	PUNCT
ajst-24872	296	1	[	[	X
ajst-24872	296	2	38	38	NUM
ajst-24872	296	3	]	]	X
ajst-24872	296	4	chen	chen	PROPN
ajst-24872	296	5	,	,	PUNCT
ajst-24872	296	6	t.	t.	PROPN
ajst-24872	296	7	,	,	PUNCT
ajst-24872	296	8	lian	lian	PROPN
ajst-24872	296	9	,	,	PUNCT
ajst-24872	296	10	j.	j.	PROPN
ajst-24872	296	11	,	,	PUNCT
ajst-24872	296	12	&	&	CCONJ
ajst-24872	296	13	sun	sun	PROPN
ajst-24872	296	14	,	,	PUNCT
ajst-24872	296	15	b.	b.	PROPN
ajst-24872	296	16	(	(	PUNCT
ajst-24872	296	17	2024	2024	NUM
ajst-24872	296	18	)	)	PUNCT
ajst-24872	296	19	.	.	PUNCT
ajst-24872	297	1	an	an	DET
ajst-24872	297	2	exploration	exploration	NOUN
ajst-24872	297	3	of	of	ADP
ajst-24872	297	4	the	the	DET
ajst-24872	297	5	development	development	NOUN
ajst-24872	297	6	of	of	ADP
ajst-24872	297	7	computerized	computerized	ADJ
ajst-24872	297	8	data	datum	NOUN
ajst-24872	297	9	mining	mining	NOUN
ajst-24872	297	10	techniques	technique	NOUN
ajst-24872	297	11	and	and	CCONJ
ajst-24872	297	12	their	their	PRON
ajst-24872	297	13	application	application	NOUN
ajst-24872	297	14	.	.	PUNCT
ajst-24872	298	1	international	international	ADJ
ajst-24872	298	2	journal	journal	PROPN
ajst-24872	298	3	of	of	ADP
ajst-24872	298	4	computer	computer	NOUN
ajst-24872	298	5	science	science	NOUN
ajst-24872	298	6	and	and	CCONJ
ajst-24872	298	7	information	information	NOUN
ajst-24872	298	8	technology	technology	NOUN
ajst-24872	298	9	,	,	PUNCT
ajst-24872	298	10	3(1	3(1	NUM
ajst-24872	298	11	)	)	PUNCT
ajst-24872	298	12	,	,	PUNCT
ajst-24872	298	13	206	206	NUM
ajst-24872	298	14	-	-	SYM
ajst-24872	298	15	212	212	NUM
ajst-24872	298	16	.	.	PUNCT
ajst-24872	299	1	[	[	X
ajst-24872	299	2	39	39	NUM
ajst-24872	299	3	]	]	SYM
ajst-24872	299	4	yang	yang	PROPN
ajst-24872	299	5	,	,	PUNCT
ajst-24872	299	6	y.	y.	PROPN
ajst-24872	299	7	,	,	PUNCT
ajst-24872	299	8	jiménez	jiménez	PROPN
ajst-24872	299	9	-	-	PUNCT
ajst-24872	299	10	negrón	negrón	PROPN
ajst-24872	299	11	,	,	PUNCT
ajst-24872	299	12	o.	o.	NOUN
ajst-24872	299	13	a.	a.	PROPN
ajst-24872	299	14	,	,	PUNCT
ajst-24872	299	15	&	&	CCONJ
ajst-24872	299	16	kitchin	kitchin	PROPN
ajst-24872	299	17	,	,	PUNCT
ajst-24872	299	18	j.	j.	PROPN
ajst-24872	299	19	r.	r.	PROPN
ajst-24872	299	20	(	(	PUNCT
ajst-24872	299	21	2021	2021	NUM
ajst-24872	299	22	)	)	PUNCT
ajst-24872	299	23	.	.	PUNCT
ajst-24872	300	1	machine	machine	NOUN
ajst-24872	300	2	-	-	PUNCT
ajst-24872	300	3	learning	learning	NOUN
ajst-24872	300	4	accelerated	accelerate	VERB
ajst-24872	300	5	geometry	geometry	NOUN
ajst-24872	300	6	optimization	optimization	NOUN
ajst-24872	300	7	in	in	ADP
ajst-24872	300	8	molecular	molecular	ADJ
ajst-24872	300	9	simulation	simulation	NOUN
ajst-24872	300	10	.	.	PUNCT
ajst-24872	301	1	the	the	DET
ajst-24872	301	2	journal	journal	PROPN
ajst-24872	301	3	of	of	ADP
ajst-24872	301	4	chemical	chemical	PROPN
ajst-24872	301	5	physics	physics	PROPN
ajst-24872	301	6	,	,	PUNCT
ajst-24872	301	7	154(23	154(23	NUM
ajst-24872	301	8	)	)	PUNCT
ajst-24872	301	9	.	.	PUNCT
ajst-24872	302	1	[	[	X
ajst-24872	302	2	40	40	NUM
ajst-24872	302	3	]	]	PUNCT
ajst-24872	302	4	lauscher	lauscher	NOUN
ajst-24872	302	5	,	,	PUNCT
ajst-24872	302	6	a.	a.	NOUN
ajst-24872	302	7	,	,	PUNCT
ajst-24872	302	8	glavaš	glavaš	PROPN
ajst-24872	302	9	,	,	PUNCT
ajst-24872	302	10	g.	g.	PROPN
ajst-24872	302	11	,	,	PUNCT
ajst-24872	302	12	ponzetto	ponzetto	NOUN
ajst-24872	302	13	,	,	PUNCT
ajst-24872	302	14	s.	s.	PROPN
ajst-24872	302	15	p.	p.	PROPN
ajst-24872	302	16	,	,	PUNCT
ajst-24872	302	17	&	&	CCONJ
ajst-24872	302	18	vulić	vulić	PROPN
ajst-24872	302	19	,	,	PUNCT
ajst-24872	302	20	i.	i.	PROPN
ajst-24872	302	21	(	(	PUNCT
ajst-24872	302	22	2020	2020	NUM
ajst-24872	302	23	,	,	PUNCT
ajst-24872	302	24	april	april	PROPN
ajst-24872	302	25	)	)	PUNCT
ajst-24872	302	26	.	.	PUNCT
ajst-24872	303	1	a	a	DET
ajst-24872	303	2	general	general	ADJ
ajst-24872	303	3	framework	framework	NOUN
ajst-24872	303	4	for	for	ADP
ajst-24872	303	5	implicit	implicit	ADJ
ajst-24872	303	6	and	and	CCONJ
ajst-24872	303	7	explicit	explicit	ADJ
ajst-24872	303	8	debiasing	debiasing	NOUN
ajst-24872	303	9	of	of	ADP
ajst-24872	303	10	distributional	distributional	ADJ
ajst-24872	303	11	word	word	NOUN
ajst-24872	303	12	vector	vector	NOUN
ajst-24872	303	13	spaces	space	NOUN
ajst-24872	303	14	.	.	PUNCT
ajst-24872	304	1	in	in	ADP
ajst-24872	304	2	proceedings	proceeding	NOUN
ajst-24872	304	3	of	of	ADP
ajst-24872	304	4	the	the	DET
ajst-24872	304	5	aaai	aaai	PROPN
ajst-24872	304	6	conference	conference	NOUN
ajst-24872	304	7	on	on	ADP
ajst-24872	304	8	artificial	artificial	ADJ
ajst-24872	304	9	intelligence	intelligence	NOUN
ajst-24872	304	10	(	(	PUNCT
ajst-24872	304	11	vol	vol	NOUN
ajst-24872	304	12	.	.	PROPN
ajst-24872	304	13	34	34	NUM
ajst-24872	304	14	,	,	PUNCT
ajst-24872	304	15	no	no	INTJ
ajst-24872	304	16	.	.	NOUN
ajst-24872	304	17	05	05	NUM
ajst-24872	304	18	,	,	PUNCT
ajst-24872	304	19	pp	pp	ADJ
ajst-24872	304	20	.	.	PUNCT
ajst-24872	304	21	8131	8131	NUM
ajst-24872	304	22	-	-	SYM
ajst-24872	304	23	8138	8138	NUM
ajst-24872	304	24	)	)	PUNCT
ajst-24872	304	25	.	.	PUNCT
ajst-24872	305	1	[	[	X
ajst-24872	305	2	41	41	NUM
ajst-24872	305	3	]	]	PUNCT
ajst-24872	305	4	xu	xu	PROPN
ajst-24872	305	5	,	,	PUNCT
ajst-24872	305	6	t.	t.	PROPN
ajst-24872	305	7	(	(	PUNCT
ajst-24872	305	8	2024	2024	NUM
ajst-24872	305	9	)	)	PUNCT
ajst-24872	305	10	.	.	PUNCT
ajst-24872	306	1	comparative	comparative	ADJ
ajst-24872	306	2	analysis	analysis	NOUN
ajst-24872	306	3	of	of	ADP
ajst-24872	306	4	machine	machine	NOUN
ajst-24872	306	5	learning	learn	VERB
ajst-24872	306	6	algorithms	algorithm	NOUN
ajst-24872	306	7	for	for	ADP
ajst-24872	306	8	consumer	consumer	NOUN
ajst-24872	306	9	credit	credit	NOUN
ajst-24872	306	10	risk	risk	NOUN
ajst-24872	306	11	assessment	assessment	NOUN
ajst-24872	306	12	.	.	PUNCT
ajst-24872	307	1	transactions	transaction	NOUN
ajst-24872	307	2	on	on	ADP
ajst-24872	307	3	computer	computer	NOUN
ajst-24872	307	4	science	science	NOUN
ajst-24872	307	5	and	and	CCONJ
ajst-24872	307	6	intelligent	intelligent	ADJ
ajst-24872	307	7	systems	system	NOUN
ajst-24872	307	8	research	research	NOUN
ajst-24872	307	9	,	,	PUNCT
ajst-24872	307	10	4	4	NUM
ajst-24872	307	11	,	,	PUNCT
ajst-24872	307	12	60	60	NUM
ajst-24872	307	13	-	-	SYM
ajst-24872	307	14	67	67	NUM
ajst-24872	307	15	.	.	PUNCT
ajst-24872	308	1	[	[	X
ajst-24872	308	2	42	42	NUM
ajst-24872	308	3	]	]	PUNCT
ajst-24872	308	4	xu	xu	PROPN
ajst-24872	308	5	,	,	PUNCT
ajst-24872	308	6	t.	t.	PROPN
ajst-24872	308	7	(	(	PUNCT
ajst-24872	308	8	2024	2024	NUM
ajst-24872	308	9	)	)	PUNCT
ajst-24872	308	10	.	.	PUNCT
ajst-24872	309	1	credit	credit	NOUN
ajst-24872	309	2	risk	risk	NOUN
ajst-24872	309	3	assessment	assessment	NOUN
ajst-24872	309	4	using	use	VERB
ajst-24872	309	5	a	a	DET
ajst-24872	309	6	combined	combined	ADJ
ajst-24872	309	7	approach	approach	NOUN
ajst-24872	309	8	of	of	ADP
ajst-24872	309	9	supervised	supervised	ADJ
ajst-24872	309	10	and	and	CCONJ
ajst-24872	309	11	unsupervised	unsupervised	ADJ
ajst-24872	309	12	learning	learning	NOUN
ajst-24872	309	13	.	.	PUNCT
ajst-24872	310	1	journal	journal	PROPN
ajst-24872	310	2	of	of	ADP
ajst-24872	310	3	computational	computational	ADJ
ajst-24872	310	4	methods	method	NOUN
ajst-24872	310	5	in	in	ADP
ajst-24872	310	6	engineering	engineering	NOUN
ajst-24872	310	7	applications	application	NOUN
ajst-24872	310	8	,	,	PUNCT
ajst-24872	310	9	1	1	NUM
ajst-24872	310	10	-	-	SYM
ajst-24872	310	11	12	12	NUM
ajst-24872	310	12	.	.	PUNCT
ajst-24872	311	1	[	[	X
ajst-24872	311	2	43	43	NUM
ajst-24872	311	3	]	]	X
ajst-24872	311	4	zhang	zhang	PROPN
ajst-24872	311	5	,	,	PUNCT
ajst-24872	311	6	y.	y.	PROPN
ajst-24872	311	7	,	,	PUNCT
ajst-24872	311	8	yang	yang	PROPN
ajst-24872	311	9	,	,	PUNCT
ajst-24872	311	10	k.	k.	PROPN
ajst-24872	311	11	,	,	PUNCT
ajst-24872	311	12	wang	wang	PROPN
ajst-24872	311	13	,	,	PUNCT
ajst-24872	311	14	y.	y.	PROPN
ajst-24872	311	15	,	,	PUNCT
ajst-24872	311	16	yang	yang	PROPN
ajst-24872	311	17	,	,	PUNCT
ajst-24872	311	18	p.	p.	PROPN
ajst-24872	311	19	,	,	PUNCT
ajst-24872	311	20	&	&	CCONJ
ajst-24872	311	21	liu	liu	PROPN
ajst-24872	311	22	,	,	PUNCT
ajst-24872	311	23	x.	x.	NOUN
ajst-24872	311	24	(	(	PUNCT
ajst-24872	311	25	2023	2023	NUM
ajst-24872	311	26	,	,	PUNCT
ajst-24872	311	27	july	july	PROPN
ajst-24872	311	28	)	)	PUNCT
ajst-24872	311	29	.	.	PUNCT
ajst-24872	311	30	speculative	speculative	ADJ
ajst-24872	311	31	ecc	ecc	PROPN
ajst-24872	311	32	and	and	CCONJ
ajst-24872	311	33	lcim	lcim	PROPN
ajst-24872	311	34	enabled	enable	VERB
ajst-24872	311	35	numa	numa	NOUN
ajst-24872	311	36	device	device	NOUN
ajst-24872	311	37	core	core	NOUN
ajst-24872	311	38	.	.	PUNCT
ajst-24872	312	1	in	in	ADP
ajst-24872	312	2	2023	2023	NUM
ajst-24872	312	3	3rd	3rd	ADJ
ajst-24872	312	4	international	international	ADJ
ajst-24872	312	5	symposium	symposium	NOUN
ajst-24872	312	6	on	on	ADP
ajst-24872	312	7	computer	computer	NOUN
ajst-24872	312	8	technology	technology	NOUN
ajst-24872	312	9	and	and	CCONJ
ajst-24872	312	10	information	information	NOUN
ajst-24872	312	11	science	science	NOUN
ajst-24872	312	12	(	(	PUNCT
ajst-24872	312	13	isctis	isctis	NOUN
ajst-24872	312	14	)	)	PUNCT
ajst-24872	312	15	(	(	PUNCT
ajst-24872	312	16	pp	pp	ADJ
ajst-24872	312	17	.	.	PUNCT
ajst-24872	313	1	624	624	NUM
ajst-24872	313	2	-	-	SYM
ajst-24872	313	3	631	631	NUM
ajst-24872	313	4	)	)	PUNCT
ajst-24872	313	5	.	.	PUNCT
ajst-24872	314	1	ieee	ieee	NOUN
ajst-24872	314	2	.	.	PUNCT
ajst-24872	315	1	[	[	X
ajst-24872	315	2	44	44	NUM
ajst-24872	315	3	]	]	SYM
ajst-24872	315	4	tu	tu	PROPN
ajst-24872	315	5	,	,	PUNCT
ajst-24872	315	6	h.	h.	PROPN
ajst-24872	315	7	,	,	PUNCT
ajst-24872	315	8	shi	shi	PROPN
ajst-24872	315	9	,	,	PUNCT
ajst-24872	315	10	y.	y.	PROPN
ajst-24872	315	11	,	,	PUNCT
ajst-24872	315	12	&	&	CCONJ
ajst-24872	315	13	xu	xu	PROPN
ajst-24872	315	14	,	,	PUNCT
ajst-24872	315	15	m.	m.	NOUN
ajst-24872	315	16	(	(	PUNCT
ajst-24872	315	17	2023	2023	NUM
ajst-24872	315	18	,	,	PUNCT
ajst-24872	315	19	may	may	AUX
ajst-24872	315	20	)	)	PUNCT
ajst-24872	315	21	.	.	PUNCT
ajst-24872	316	1	integrating	integrate	VERB
ajst-24872	316	2	conditional	conditional	ADJ
ajst-24872	316	3	shape	shape	NOUN
ajst-24872	316	4	embedding	embed	VERB
ajst-24872	316	5	with	with	ADP
ajst-24872	316	6	generative	generative	ADJ
ajst-24872	316	7	adversarial	adversarial	ADJ
ajst-24872	316	8	network	network	NOUN
ajst-24872	316	9	-	-	PUNCT
ajst-24872	316	10	to	to	PART
ajst-24872	316	11	assess	assess	VERB
ajst-24872	316	12	raster	raster	NOUN
ajst-24872	316	13	format	format	NOUN
ajst-24872	316	14	architectural	architectural	ADJ
ajst-24872	316	15	sketch	sketch	NOUN
ajst-24872	316	16	.	.	PUNCT
ajst-24872	317	1	in	in	ADP
ajst-24872	317	2	2023	2023	NUM
ajst-24872	317	3	annual	annual	ADJ
ajst-24872	317	4	modeling	modeling	NOUN
ajst-24872	317	5	and	and	CCONJ
ajst-24872	317	6	simulation	simulation	NOUN
ajst-24872	317	7	conference	conference	NOUN
ajst-24872	317	8	(	(	PUNCT
ajst-24872	317	9	annsim	annsim	NOUN
ajst-24872	317	10	)	)	PUNCT
ajst-24872	317	11	(	(	PUNCT
ajst-24872	317	12	pp	pp	ADJ
ajst-24872	317	13	.	.	PUNCT
ajst-24872	318	1	560	560	NUM
ajst-24872	318	2	-	-	SYM
ajst-24872	318	3	571	571	NUM
ajst-24872	318	4	)	)	PUNCT
ajst-24872	318	5	.	.	PUNCT
ajst-24872	319	1	ieee	ieee	PROPN
ajst-24872	319	2	.	.	PUNCT
ajst-24872	320	1	[	[	X
ajst-24872	320	2	45	45	NUM
ajst-24872	320	3	]	]	X
ajst-24872	320	4	vaidya	vaidya	PROPN
ajst-24872	320	5	,	,	PUNCT
ajst-24872	320	6	a.	a.	PROPN
ajst-24872	320	7	,	,	PUNCT
ajst-24872	320	8	mai	mai	PROPN
ajst-24872	320	9	,	,	PUNCT
ajst-24872	320	10	f.	f.	PROPN
ajst-24872	320	11	,	,	PUNCT
ajst-24872	320	12	&	&	CCONJ
ajst-24872	320	13	ning	ning	PROPN
ajst-24872	320	14	,	,	PUNCT
ajst-24872	320	15	y.	y.	PROPN
ajst-24872	320	16	(	(	PUNCT
ajst-24872	320	17	2020	2020	NUM
ajst-24872	320	18	,	,	PUNCT
ajst-24872	320	19	may	may	AUX
ajst-24872	320	20	)	)	PUNCT
ajst-24872	320	21	.	.	PUNCT
ajst-24872	321	1	empirical	empirical	ADJ
ajst-24872	321	2	analysis	analysis	NOUN
ajst-24872	321	3	of	of	ADP
ajst-24872	321	4	multi	multi	ADJ
ajst-24872	321	5	-	-	NOUN
ajst-24872	321	6	task	task	ADJ
ajst-24872	321	7	learning	learning	NOUN
ajst-24872	321	8	for	for	ADP
ajst-24872	321	9	reducing	reduce	VERB
ajst-24872	321	10	identity	identity	NOUN
ajst-24872	321	11	bias	bias	NOUN
ajst-24872	321	12	in	in	ADP
ajst-24872	321	13	toxic	toxic	ADJ
ajst-24872	321	14	comment	comment	NOUN
ajst-24872	321	15	detection	detection	NOUN
ajst-24872	321	16	.	.	PUNCT
ajst-24872	322	1	in	in	ADP
ajst-24872	322	2	proceedings	proceeding	NOUN
ajst-24872	322	3	of	of	ADP
ajst-24872	322	4	the	the	DET
ajst-24872	322	5	international	international	ADJ
ajst-24872	322	6	aaai	aaai	PROPN
ajst-24872	322	7	conference	conference	PROPN
ajst-24872	322	8	on	on	ADP
ajst-24872	322	9	web	web	NOUN
ajst-24872	322	10	and	and	CCONJ
ajst-24872	322	11	social	social	ADJ
ajst-24872	322	12	media	medium	NOUN
ajst-24872	322	13	(	(	PUNCT
ajst-24872	322	14	vol	vol	NOUN
ajst-24872	322	15	.	.	PROPN
ajst-24872	323	1	14	14	NUM
ajst-24872	323	2	,	,	PUNCT
ajst-24872	323	3	pp	pp	ADJ
ajst-24872	323	4	.	.	PUNCT
ajst-24872	324	1	683693	683693	NUM
ajst-24872	324	2	)	)	PUNCT
ajst-24872	324	3	.	.	PUNCT
ajst-24872	325	1	[	[	X
ajst-24872	325	2	46	46	NUM
ajst-24872	325	3	]	]	X
ajst-24872	325	4	xia	xia	PROPN
ajst-24872	325	5	,	,	PUNCT
ajst-24872	325	6	y.	y.	PROPN
ajst-24872	325	7	,	,	PUNCT
ajst-24872	325	8	liu	liu	PROPN
ajst-24872	325	9	,	,	PUNCT
ajst-24872	325	10	s.	s.	PROPN
ajst-24872	325	11	,	,	PUNCT
ajst-24872	325	12	yu	yu	PROPN
ajst-24872	325	13	,	,	PUNCT
ajst-24872	325	14	q.	q.	PROPN
ajst-24872	325	15	,	,	PUNCT
ajst-24872	325	16	deng	deng	PROPN
ajst-24872	325	17	,	,	PUNCT
ajst-24872	325	18	l.	l.	PROPN
ajst-24872	325	19	,	,	PUNCT
ajst-24872	325	20	zhang	zhang	PROPN
ajst-24872	325	21	,	,	PUNCT
ajst-24872	325	22	y.	y.	PROPN
ajst-24872	325	23	,	,	PUNCT
ajst-24872	325	24	su	su	PROPN
ajst-24872	325	25	,	,	PUNCT
ajst-24872	325	26	h.	h.	PROPN
ajst-24872	325	27	,	,	PUNCT
ajst-24872	325	28	&	&	CCONJ
ajst-24872	325	29	zheng	zheng	PROPN
ajst-24872	325	30	,	,	PUNCT
ajst-24872	325	31	k.	k.	PROPN
ajst-24872	325	32	(	(	PUNCT
ajst-24872	325	33	2023	2023	NUM
ajst-24872	325	34	)	)	PUNCT
ajst-24872	325	35	.	.	PUNCT
ajst-24872	326	1	parameterized	parameterized	ADJ
ajst-24872	326	2	decision	decision	NOUN
ajst-24872	326	3	-	-	PUNCT
ajst-24872	326	4	making	making	NOUN
ajst-24872	326	5	with	with	ADP
ajst-24872	326	6	multi	multi	ADJ
ajst-24872	326	7	-	-	ADJ
ajst-24872	326	8	modal	modal	ADJ
ajst-24872	326	9	perception	perception	NOUN
ajst-24872	326	10	for	for	ADP
ajst-24872	326	11	autonomous	autonomous	ADJ
ajst-24872	326	12	driving	driving	NOUN
ajst-24872	326	13	.	.	PUNCT
ajst-24872	327	1	arxiv	arxiv	PROPN
ajst-24872	327	2	preprint	preprint	NOUN
ajst-24872	327	3	arxiv:2312.11935	arxiv:2312.11935	ADV
ajst-24872	327	4	.	.	PUNCT
ajst-24872	328	1	[	[	X
ajst-24872	328	2	47	47	NUM
ajst-24872	328	3	]	]	X
ajst-24872	328	4	lin	lin	PROPN
ajst-24872	328	5	,	,	PUNCT
ajst-24872	328	6	y.	y.	PROPN
ajst-24872	328	7	(	(	PUNCT
ajst-24872	328	8	2023	2023	NUM
ajst-24872	328	9	)	)	PUNCT
ajst-24872	328	10	.	.	PUNCT
ajst-24872	329	1	construction	construction	NOUN
ajst-24872	329	2	of	of	ADP
ajst-24872	329	3	computer	computer	NOUN
ajst-24872	329	4	network	network	NOUN
ajst-24872	329	5	security	security	NOUN
ajst-24872	329	6	system	system	NOUN
ajst-24872	329	7	in	in	ADP
ajst-24872	329	8	the	the	DET
ajst-24872	329	9	era	era	NOUN
ajst-24872	329	10	of	of	ADP
ajst-24872	329	11	big	big	ADJ
ajst-24872	329	12	data	datum	NOUN
ajst-24872	329	13	.	.	PUNCT
ajst-24872	330	1	advances	advance	NOUN
ajst-24872	330	2	in	in	ADP
ajst-24872	330	3	computer	computer	NOUN
ajst-24872	330	4	and	and	CCONJ
ajst-24872	330	5	communication	communication	NOUN
ajst-24872	330	6	,	,	PUNCT
ajst-24872	330	7	4(3	4(3	NUM
ajst-24872	330	8	)	)	PUNCT
ajst-24872	330	9	.	.	PUNCT
ajst-24872	331	1	[	[	X
ajst-24872	331	2	48	48	NUM
ajst-24872	331	3	]	]	X
ajst-24872	331	4	liu	liu	PROPN
ajst-24872	331	5	,	,	PUNCT
ajst-24872	331	6	m.	m.	NOUN
ajst-24872	331	7	,	,	PUNCT
ajst-24872	331	8	&	&	CCONJ
ajst-24872	331	9	li	li	PROPN
ajst-24872	331	10	,	,	PUNCT
ajst-24872	331	11	y.	y.	PROPN
ajst-24872	331	12	(	(	PUNCT
ajst-24872	331	13	2023	2023	NUM
ajst-24872	331	14	,	,	PUNCT
ajst-24872	331	15	october	october	PROPN
ajst-24872	331	16	)	)	PUNCT
ajst-24872	331	17	.	.	PUNCT
ajst-24872	332	1	numerical	numerical	ADJ
ajst-24872	332	2	analysis	analysis	NOUN
ajst-24872	332	3	and	and	CCONJ
ajst-24872	332	4	calculation	calculation	NOUN
ajst-24872	332	5	of	of	ADP
ajst-24872	332	6	urban	urban	ADJ
ajst-24872	332	7	landscape	landscape	NOUN
ajst-24872	332	8	spatial	spatial	ADJ
ajst-24872	332	9	pattern	pattern	NOUN
ajst-24872	332	10	.	.	PUNCT
ajst-24872	333	1	in	in	ADP
ajst-24872	333	2	2nd	2nd	ADJ
ajst-24872	333	3	international	international	ADJ
ajst-24872	333	4	conference	conference	NOUN
ajst-24872	333	5	on	on	ADP
ajst-24872	333	6	intelligent	intelligent	ADJ
ajst-24872	333	7	design	design	NOUN
ajst-24872	333	8	and	and	CCONJ
ajst-24872	333	9	innovative	innovative	ADJ
ajst-24872	333	10	technology	technology	NOUN
ajst-24872	333	11	(	(	PUNCT
ajst-24872	333	12	icidit	icidit	NOUN
ajst-24872	333	13	2023	2023	NUM
ajst-24872	333	14	)	)	PUNCT
ajst-24872	333	15	(	(	PUNCT
ajst-24872	333	16	pp	pp	X
ajst-24872	333	17	.	.	PUNCT
ajst-24872	334	1	113	113	NUM
ajst-24872	334	2	-	-	SYM
ajst-24872	334	3	119	119	NUM
ajst-24872	334	4	)	)	PUNCT
ajst-24872	334	5	.	.	PUNCT
ajst-24872	335	1	atlantis	atlantis	PROPN
ajst-24872	335	2	press	press	PROPN
ajst-24872	335	3	.	.	PUNCT
ajst-24872	336	1	[	[	X
ajst-24872	336	2	49	49	NUM
ajst-24872	336	3	]	]	X
ajst-24872	336	4	lin	lin	PROPN
ajst-24872	336	5	,	,	PUNCT
ajst-24872	336	6	y.	y.	PROPN
ajst-24872	336	7	(	(	PUNCT
ajst-24872	336	8	2023	2023	NUM
ajst-24872	336	9	)	)	PUNCT
ajst-24872	336	10	.	.	PUNCT
ajst-24872	337	1	optimization	optimization	NOUN
ajst-24872	337	2	and	and	CCONJ
ajst-24872	337	3	use	use	NOUN
ajst-24872	337	4	of	of	ADP
ajst-24872	337	5	cloud	cloud	NOUN
ajst-24872	337	6	computing	computing	NOUN
ajst-24872	337	7	in	in	ADP
ajst-24872	337	8	big	big	ADJ
ajst-24872	337	9	data	datum	NOUN
ajst-24872	337	10	science	science	NOUN
ajst-24872	337	11	.	.	PUNCT
ajst-24872	338	1	computing	computing	NOUN
ajst-24872	338	2	,	,	PUNCT
ajst-24872	338	3	performance	performance	NOUN
ajst-24872	338	4	and	and	CCONJ
ajst-24872	338	5	communication	communication	NOUN
ajst-24872	338	6	systems	system	NOUN
ajst-24872	338	7	,	,	PUNCT
ajst-24872	338	8	7(1	7(1	NUM
ajst-24872	338	9	)	)	PUNCT
ajst-24872	338	10	,	,	PUNCT
ajst-24872	338	11	119	119	NUM
ajst-24872	338	12	-	-	SYM
ajst-24872	338	13	124	124	NUM
ajst-24872	338	14	.	.	PUNCT
ajst-24872	339	1	[	[	X
ajst-24872	339	2	50	50	NUM
ajst-24872	339	3	]	]	X
ajst-24872	339	4	lin	lin	PROPN
ajst-24872	339	5	,	,	PUNCT
ajst-24872	339	6	y.	y.	NOUN
ajst-24872	339	7	discussion	discussion	NOUN
ajst-24872	339	8	on	on	ADP
ajst-24872	339	9	the	the	DET
ajst-24872	339	10	development	development	NOUN
ajst-24872	339	11	of	of	ADP
ajst-24872	339	12	artificial	artificial	ADJ
ajst-24872	339	13	intelligence	intelligence	NOUN
ajst-24872	339	14	by	by	ADP
ajst-24872	339	15	computer	computer	NOUN
ajst-24872	339	16	information	information	NOUN
ajst-24872	339	17	technology	technology	NOUN
ajst-24872	339	18	.	.	PUNCT
ajst-24872	340	1	[	[	X
ajst-24872	340	2	51	51	NUM
ajst-24872	340	3	]	]	X
ajst-24872	340	4	qiu	qiu	PROPN
ajst-24872	340	5	,	,	PUNCT
ajst-24872	340	6	l.	l.	PROPN
ajst-24872	340	7	,	,	PUNCT
ajst-24872	340	8	&	&	CCONJ
ajst-24872	340	9	liu	liu	PROPN
ajst-24872	340	10	,	,	PUNCT
ajst-24872	340	11	m.	m.	NOUN
ajst-24872	340	12	(	(	PUNCT
ajst-24872	340	13	2024	2024	NUM
ajst-24872	340	14	)	)	PUNCT
ajst-24872	340	15	.	.	PUNCT
ajst-24872	341	1	innovative	innovative	ADJ
ajst-24872	341	2	design	design	NOUN
ajst-24872	341	3	of	of	ADP
ajst-24872	341	4	cultural	cultural	ADJ
ajst-24872	341	5	souvenirs	souvenir	NOUN
ajst-24872	341	6	based	base	VERB
ajst-24872	341	7	on	on	ADP
ajst-24872	341	8	deep	deep	ADJ
ajst-24872	341	9	learning	learning	NOUN
ajst-24872	341	10	and	and	CCONJ
ajst-24872	341	11	cad	cad	PROPN
ajst-24872	341	12	.	.	PUNCT
ajst-24872	342	1	[	[	X
ajst-24872	342	2	52	52	NUM
ajst-24872	342	3	]	]	X
ajst-24872	342	4	wang	wang	PROPN
ajst-24872	342	5	,	,	PUNCT
ajst-24872	342	6	c.	c.	PROPN
ajst-24872	342	7	,	,	PUNCT
ajst-24872	342	8	yang	yang	PROPN
ajst-24872	342	9	,	,	PUNCT
ajst-24872	342	10	h.	h.	PROPN
ajst-24872	342	11	,	,	PUNCT
ajst-24872	342	12	chen	chen	PROPN
ajst-24872	342	13	,	,	PUNCT
ajst-24872	342	14	y.	y.	PROPN
ajst-24872	342	15	,	,	PUNCT
ajst-24872	342	16	sun	sun	PROPN
ajst-24872	342	17	,	,	PUNCT
ajst-24872	342	18	l.	l.	PROPN
ajst-24872	342	19	,	,	PUNCT
ajst-24872	342	20	zhou	zhou	PROPN
ajst-24872	342	21	,	,	PUNCT
ajst-24872	342	22	y.	y.	PROPN
ajst-24872	342	23	,	,	PUNCT
ajst-24872	342	24	&	&	CCONJ
ajst-24872	342	25	wang	wang	PROPN
ajst-24872	342	26	,	,	PUNCT
ajst-24872	342	27	h.	h.	PROPN
ajst-24872	342	28	(	(	PUNCT
ajst-24872	342	29	2010	2010	NUM
ajst-24872	342	30	)	)	PUNCT
ajst-24872	342	31	.	.	PUNCT
ajst-24872	343	1	identification	identification	NOUN
ajst-24872	343	2	of	of	ADP
ajst-24872	343	3	image	image	NOUN
ajst-24872	343	4	-	-	PUNCT
ajst-24872	343	5	spam	spam	NOUN
ajst-24872	343	6	based	base	VERB
ajst-24872	343	7	on	on	ADP
ajst-24872	343	8	sift	sift	ADJ
ajst-24872	343	9	image	image	NOUN
ajst-24872	343	10	matching	matching	NOUN
ajst-24872	343	11	algorithm	algorithm	NOUN
ajst-24872	343	12	.	.	PUNCT
ajst-24872	344	1	journal	journal	PROPN
ajst-24872	344	2	of	of	ADP
ajst-24872	344	3	information	information	NOUN
ajst-24872	344	4	&	&	CCONJ
ajst-24872	344	5	computational	computational	ADJ
ajst-24872	344	6	science	science	NOUN
ajst-24872	344	7	,	,	PUNCT
ajst-24872	344	8	7(14	7(14	NUM
ajst-24872	344	9	)	)	PUNCT
ajst-24872	344	10	,	,	PUNCT
ajst-24872	344	11	3153	3153	NUM
ajst-24872	344	12	-	-	SYM
ajst-24872	344	13	3160	3160	NUM
ajst-24872	344	14	.	.	PUNCT
ajst-24872	345	1	[	[	X
ajst-24872	345	2	53	53	NUM
ajst-24872	345	3	]	]	PUNCT
ajst-24872	345	4	yucer	yucer	NOUN
ajst-24872	345	5	,	,	PUNCT
ajst-24872	345	6	s.	s.	PROPN
ajst-24872	345	7	,	,	PUNCT
ajst-24872	345	8	akçay	akçay	PROPN
ajst-24872	345	9	,	,	PUNCT
ajst-24872	345	10	s.	s.	PROPN
ajst-24872	345	11	,	,	PUNCT
ajst-24872	345	12	al	al	PROPN
ajst-24872	345	13	-	-	PUNCT
ajst-24872	345	14	moubayed	moubayed	ADJ
ajst-24872	345	15	,	,	PUNCT
ajst-24872	345	16	n.	n.	NOUN
ajst-24872	345	17	,	,	PUNCT
ajst-24872	345	18	&	&	CCONJ
ajst-24872	345	19	breckon	breckon	PROPN
ajst-24872	345	20	,	,	PUNCT
ajst-24872	345	21	t.	t.	PROPN
ajst-24872	345	22	p.	p.	PROPN
ajst-24872	345	23	(	(	PUNCT
ajst-24872	345	24	2020	2020	NUM
ajst-24872	345	25	)	)	PUNCT
ajst-24872	345	26	.	.	PUNCT
ajst-24872	346	1	exploring	explore	VERB
ajst-24872	346	2	racial	racial	ADJ
ajst-24872	346	3	bias	bias	NOUN
ajst-24872	346	4	within	within	ADP
ajst-24872	346	5	face	face	NOUN
ajst-24872	346	6	recognition	recognition	NOUN
ajst-24872	346	7	via	via	ADP
ajst-24872	346	8	persubject	persubject	ADJ
ajst-24872	346	9	adversarially	adversarially	ADV
ajst-24872	346	10	-	-	PUNCT
ajst-24872	346	11	enabled	enable	VERB
ajst-24872	346	12	data	datum	NOUN
ajst-24872	346	13	augmentation	augmentation	NOUN
ajst-24872	346	14	.	.	PUNCT
ajst-24872	347	1	in	in	ADP
ajst-24872	347	2	proceedings	proceeding	NOUN
ajst-24872	347	3	of	of	ADP
ajst-24872	347	4	the	the	DET
ajst-24872	347	5	ieee	ieee	NOUN
ajst-24872	347	6	/	/	SYM
ajst-24872	347	7	cvf	cvf	NOUN
ajst-24872	347	8	conference	conference	NOUN
ajst-24872	347	9	on	on	ADP
ajst-24872	347	10	computer	computer	NOUN
ajst-24872	347	11	vision	vision	NOUN
ajst-24872	347	12	and	and	CCONJ
ajst-24872	347	13	pattern	pattern	NOUN
ajst-24872	347	14	recognition	recognition	NOUN
ajst-24872	347	15	workshops	workshop	NOUN
ajst-24872	347	16	(	(	PUNCT
ajst-24872	347	17	pp	pp	ADJ
ajst-24872	347	18	.	.	PUNCT
ajst-24872	347	19	18	18	NUM
ajst-24872	347	20	-	-	SYM
ajst-24872	347	21	19	19	NUM
ajst-24872	347	22	)	)	PUNCT
ajst-24872	347	23	.	.	PUNCT
ajst-24872	348	1	[	[	X
ajst-24872	348	2	54	54	NUM
ajst-24872	348	3	]	]	X
ajst-24872	348	4	zhang	zhang	PROPN
ajst-24872	348	5	,	,	PUNCT
ajst-24872	348	6	l.	l.	PROPN
ajst-24872	348	7	,	,	PUNCT
ajst-24872	348	8	&	&	CCONJ
ajst-24872	348	9	yencha	yencha	PROPN
ajst-24872	348	10	,	,	PUNCT
ajst-24872	348	11	c.	c.	PROPN
ajst-24872	348	12	(	(	PUNCT
ajst-24872	348	13	2022	2022	NUM
ajst-24872	348	14	)	)	PUNCT
ajst-24872	348	15	.	.	PUNCT
ajst-24872	348	16	examining	examine	VERB
ajst-24872	348	17	perceptions	perception	NOUN
ajst-24872	348	18	towards	towards	ADP
ajst-24872	348	19	hiring	hire	VERB
ajst-24872	348	20	algorithms	algorithm	NOUN
ajst-24872	348	21	.	.	PUNCT
ajst-24872	349	1	technology	technology	NOUN
ajst-24872	349	2	in	in	ADP
ajst-24872	349	3	society	society	NOUN
ajst-24872	349	4	,	,	PUNCT
ajst-24872	349	5	68	68	NUM
ajst-24872	349	6	,	,	PUNCT
ajst-24872	349	7	101848	101848	NUM
ajst-24872	349	8	.	.	PUNCT