id	sid	tid	token	lemma	pos
ajst-19139	1	1	academic	academic	ADJ
ajst-19139	1	2	journal	journal	NOUN
ajst-19139	1	3	of	of	ADP
ajst-19139	1	4	science	science	NOUN
ajst-19139	1	5	and	and	CCONJ
ajst-19139	1	6	technology	technology	NOUN
ajst-19139	1	7	issn	issn	NOUN
ajst-19139	1	8	:	:	PUNCT
ajst-19139	1	9	2771	2771	NUM
ajst-19139	1	10	-	-	SYM
ajst-19139	1	11	3032	3032	NUM
ajst-19139	1	12	|	|	NOUN
ajst-19139	1	13	vol	vol	NOUN
ajst-19139	1	14	.	.	PROPN
ajst-19139	2	1	10	10	NUM
ajst-19139	2	2	,	,	PUNCT
ajst-19139	2	3	no	no	INTJ
ajst-19139	2	4	.	.	NOUN
ajst-19139	2	5	1	1	NUM
ajst-19139	2	6	,	,	PUNCT
ajst-19139	2	7	2024	2024	NUM
ajst-19139	2	8	23	23	NUM
ajst-19139	2	9	biology‐based	biology‐base	VERB
ajst-19139	2	10	ai	ai	VERB
ajst-19139	2	11	predicts	predict	NOUN
ajst-19139	2	12	t‐cell	t‐cell	PART
ajst-19139	2	13	receptor	receptor	VERB
ajst-19139	2	14	antigen	antigen	ADJ
ajst-19139	2	15	binding	bind	VERB
ajst-19139	2	16	specificity	specificity	NOUN
ajst-19139	2	17	xinyu	xinyu	PROPN
ajst-19139	2	18	shen1	shen1	PROPN
ajst-19139	2	19	,	,	PUNCT
ajst-19139	2	20	*	*	PUNCT
ajst-19139	2	21	,	,	PUNCT
ajst-19139	2	22	baoming	baome	VERB
ajst-19139	2	23	wang2	wang2	PROPN
ajst-19139	2	24	,	,	PUNCT
ajst-19139	2	25	zheng	zheng	PROPN
ajst-19139	2	26	he3	he3	PROPN
ajst-19139	2	27	,	,	PUNCT
ajst-19139	2	28	huiming	huime	VERB
ajst-19139	2	29	zhou4	zhou4	NOUN
ajst-19139	2	30	,	,	PUNCT
ajst-19139	2	31	yanlin	yanlin	NOUN
ajst-19139	2	32	zhou5	zhou5	PROPN
ajst-19139	2	33	1biostatistics	1biostatistics	PROPN
ajst-19139	2	34	columbia	columbia	PROPN
ajst-19139	2	35	university	university	PROPN
ajst-19139	2	36	,	,	PUNCT
ajst-19139	2	37	usa	usa	PROPN
ajst-19139	2	38	2electrical	2electrical	PROPN
ajst-19139	2	39	and	and	CCONJ
ajst-19139	2	40	computer	computer	NOUN
ajst-19139	2	41	engineering	engineering	NOUN
ajst-19139	2	42	,	,	PUNCT
ajst-19139	2	43	university	university	PROPN
ajst-19139	2	44	of	of	ADP
ajst-19139	2	45	illinois	illinois	PROPN
ajst-19139	2	46	urbana	urbana	PROPN
ajst-19139	2	47	-	-	PUNCT
ajst-19139	2	48	champaign	champaign	PROPN
ajst-19139	2	49	,	,	PUNCT
ajst-19139	2	50	urbana	urbana	PROPN
ajst-19139	2	51	,	,	PUNCT
ajst-19139	2	52	il	il	PROPN
ajst-19139	2	53	,	,	PUNCT
ajst-19139	2	54	usa	usa	PROPN
ajst-19139	2	55	3applied	3applied	NUM
ajst-19139	2	56	analytics	analytic	NOUN
ajst-19139	2	57	,	,	PUNCT
ajst-19139	2	58	columbia	columbia	PROPN
ajst-19139	2	59	university	university	PROPN
ajst-19139	2	60	,	,	PUNCT
ajst-19139	2	61	ny	ny	PROPN
ajst-19139	2	62	,	,	PUNCT
ajst-19139	2	63	usa	usa	PROPN
ajst-19139	2	64	4computer	4computer	NUM
ajst-19139	2	65	science	science	NOUN
ajst-19139	2	66	,	,	PUNCT
ajst-19139	2	67	northeastern	northeastern	ADJ
ajst-19139	2	68	university	university	NOUN
ajst-19139	2	69	,	,	PUNCT
ajst-19139	2	70	ca	ca	PROPN
ajst-19139	2	71	,	,	PUNCT
ajst-19139	2	72	usa	usa	PROPN
ajst-19139	2	73	5computer	5computer	PROPN
ajst-19139	2	74	science	science	NOUN
ajst-19139	2	75	,	,	PUNCT
ajst-19139	2	76	johns	johns	PROPN
ajst-19139	2	77	hopkins	hopkins	PROPN
ajst-19139	2	78	university	university	PROPN
ajst-19139	2	79	,	,	PUNCT
ajst-19139	2	80	baltimore	baltimore	PROPN
ajst-19139	2	81	,	,	PUNCT
ajst-19139	2	82	md	md	PROPN
ajst-19139	2	83	,	,	PUNCT
ajst-19139	2	84	usa	usa	PROPN
ajst-19139	2	85	*	*	PUNCT
ajst-19139	2	86	corresponding	correspond	VERB
ajst-19139	2	87	author	author	NOUN
ajst-19139	2	88	:	:	PUNCT
ajst-19139	3	1	xinyu	xinyu	PROPN
ajst-19139	3	2	shen	shen	PROPN
ajst-19139	3	3	(	(	PUNCT
ajst-19139	3	4	email	email	NOUN
ajst-19139	3	5	:	:	PUNCT
ajst-19139	3	6	xshen1007@gmail.com	xshen1007@gmail.com	X
ajst-19139	3	7	)	)	PUNCT
ajst-19139	3	8	abstract	abstract	NOUN
ajst-19139	3	9	:	:	PUNCT
ajst-19139	3	10	adoptive	adoptive	ADJ
ajst-19139	3	11	cell	cell	NOUN
ajst-19139	3	12	transfer	transfer	NOUN
ajst-19139	3	13	(	(	PUNCT
ajst-19139	3	14	act	act	PROPN
ajst-19139	3	15	)	)	PUNCT
ajst-19139	3	16	using	use	VERB
ajst-19139	3	17	t	t	NOUN
ajst-19139	3	18	cells	cell	NOUN
ajst-19139	3	19	modified	modify	VERB
ajst-19139	3	20	by	by	ADP
ajst-19139	3	21	the	the	DET
ajst-19139	3	22	t	t	PROPN
ajst-19139	3	23	cell	cell	NOUN
ajst-19139	3	24	receptor	receptor	NOUN
ajst-19139	3	25	(	(	PUNCT
ajst-19139	3	26	tcr	tcr	PROPN
ajst-19139	3	27	)	)	PUNCT
ajst-19139	3	28	gene	gene	NOUN
ajst-19139	3	29	is	be	AUX
ajst-19139	3	30	an	an	DET
ajst-19139	3	31	exciting	exciting	ADJ
ajst-19139	3	32	and	and	CCONJ
ajst-19139	3	33	rapidly	rapidly	ADV
ajst-19139	3	34	developing	develop	VERB
ajst-19139	3	35	field	field	NOUN
ajst-19139	3	36	.	.	PUNCT
ajst-19139	4	1	numerous	numerous	ADJ
ajst-19139	4	2	preclinical	preclinical	ADJ
ajst-19139	4	3	and	and	CCONJ
ajst-19139	4	4	clinical	clinical	ADJ
ajst-19139	4	5	studies	study	NOUN
ajst-19139	4	6	have	have	AUX
ajst-19139	4	7	shown	show	VERB
ajst-19139	4	8	varying	vary	VERB
ajst-19139	4	9	feasibility	feasibility	NOUN
ajst-19139	4	10	,	,	PUNCT
ajst-19139	4	11	safety	safety	NOUN
ajst-19139	4	12	,	,	PUNCT
ajst-19139	4	13	and	and	CCONJ
ajst-19139	4	14	efficacy	efficacy	NOUN
ajst-19139	4	15	of	of	ADP
ajst-19139	4	16	using	use	VERB
ajst-19139	4	17	tcrengineered	tcrengineered	PROPN
ajst-19139	4	18	t	t	PROPN
ajst-19139	4	19	cells	cell	NOUN
ajst-19139	4	20	to	to	PART
ajst-19139	4	21	treat	treat	VERB
ajst-19139	4	22	cancer	cancer	NOUN
ajst-19139	4	23	and	and	CCONJ
ajst-19139	4	24	viral	viral	ADJ
ajst-19139	4	25	infections	infection	NOUN
ajst-19139	4	26	.	.	PUNCT
ajst-19139	5	1	although	although	SCONJ
ajst-19139	5	2	there	there	PRON
ajst-19139	5	3	is	be	VERB
ajst-19139	5	4	evidence	evidence	NOUN
ajst-19139	5	5	that	that	SCONJ
ajst-19139	5	6	their	their	PRON
ajst-19139	5	7	use	use	NOUN
ajst-19139	5	8	is	be	AUX
ajst-19139	5	9	effective	effective	ADJ
ajst-19139	5	10	,	,	PUNCT
ajst-19139	5	11	to	to	ADP
ajst-19139	5	12	what	what	DET
ajst-19139	5	13	extent	extent	NOUN
ajst-19139	5	14	and	and	CCONJ
ajst-19139	5	15	how	how	SCONJ
ajst-19139	5	16	these	these	DET
ajst-19139	5	17	therapies	therapy	NOUN
ajst-19139	5	18	can	can	AUX
ajst-19139	5	19	be	be	AUX
ajst-19139	5	20	improved	improve	VERB
ajst-19139	5	21	is	be	AUX
ajst-19139	5	22	still	still	ADV
ajst-19139	5	23	a	a	DET
ajst-19139	5	24	question	question	NOUN
ajst-19139	5	25	of	of	ADP
ajst-19139	5	26	research	research	NOUN
ajst-19139	5	27	.	.	PUNCT
ajst-19139	6	1	since	since	SCONJ
ajst-19139	6	2	tcr	tcr	PROPN
ajst-19139	6	3	affinity	affinity	NOUN
ajst-19139	6	4	has	have	AUX
ajst-19139	6	5	been	be	AUX
ajst-19139	6	6	generally	generally	ADV
ajst-19139	6	7	accepted	accept	VERB
ajst-19139	6	8	as	as	ADP
ajst-19139	6	9	the	the	DET
ajst-19139	6	10	primary	primary	ADJ
ajst-19139	6	11	role	role	NOUN
ajst-19139	6	12	in	in	ADP
ajst-19139	6	13	defining	define	VERB
ajst-19139	6	14	t	t	NOUN
ajst-19139	6	15	cell	cell	NOUN
ajst-19139	6	16	specificity	specificity	NOUN
ajst-19139	6	17	and	and	CCONJ
ajst-19139	6	18	sensitivity	sensitivity	NOUN
ajst-19139	6	19	,	,	PUNCT
ajst-19139	6	20	selecting	select	VERB
ajst-19139	6	21	and	and	CCONJ
ajst-19139	6	22	generating	generate	VERB
ajst-19139	6	23	high	high	ADJ
ajst-19139	6	24	-	-	PUNCT
ajst-19139	6	25	affinity	affinity	NOUN
ajst-19139	6	26	tcrs	tcrs	NOUN
ajst-19139	6	27	remains	remain	VERB
ajst-19139	6	28	a	a	DET
ajst-19139	6	29	fundamental	fundamental	ADJ
ajst-19139	6	30	approach	approach	NOUN
ajst-19139	6	31	to	to	ADP
ajst-19139	6	32	designing	design	VERB
ajst-19139	6	33	more	more	ADV
ajst-19139	6	34	effective	effective	ADJ
ajst-19139	6	35	t	t	NOUN
ajst-19139	6	36	cells	cell	NOUN
ajst-19139	6	37	.	.	PUNCT
ajst-19139	7	1	however	however	ADV
ajst-19139	7	2	,	,	PUNCT
ajst-19139	7	3	the	the	DET
ajst-19139	7	4	traditional	traditional	ADJ
ajst-19139	7	5	approach	approach	NOUN
ajst-19139	7	6	of	of	ADP
ajst-19139	7	7	increasing	increase	VERB
ajst-19139	7	8	affinity	affinity	NOUN
ajst-19139	7	9	by	by	ADP
ajst-19139	7	10	random	random	ADJ
ajst-19139	7	11	mutagenesis	mutagenesis	NOUN
ajst-19139	7	12	can	can	AUX
ajst-19139	7	13	cause	cause	VERB
ajst-19139	7	14	adverse	adverse	ADJ
ajst-19139	7	15	cross	cros	NOUN
ajst-19139	7	16	-	-	NOUN
ajst-19139	7	17	reactions	reaction	NOUN
ajst-19139	7	18	that	that	PRON
ajst-19139	7	19	result	result	VERB
ajst-19139	7	20	in	in	ADP
ajst-19139	7	21	on	on	ADP
ajst-19139	7	22	-	-	PUNCT
ajst-19139	7	23	target	target	NOUN
ajst-19139	7	24	and	and	CCONJ
ajst-19139	7	25	off	off	ADP
ajst-19139	7	26	-	-	PUNCT
ajst-19139	7	27	target	target	VERB
ajst-19139	7	28	adverse	adverse	ADJ
ajst-19139	7	29	events	event	NOUN
ajst-19139	7	30	,	,	PUNCT
ajst-19139	7	31	produce	produce	VERB
ajst-19139	7	32	depleted	depleted	ADJ
ajst-19139	7	33	effectors	effector	NOUN
ajst-19139	7	34	through	through	ADP
ajst-19139	7	35	overstimulation	overstimulation	NOUN
ajst-19139	7	36	,	,	PUNCT
ajst-19139	7	37	and	and	CCONJ
ajst-19139	7	38	ignore	ignore	VERB
ajst-19139	7	39	other	other	ADJ
ajst-19139	7	40	kinetic	kinetic	NOUN
ajst-19139	7	41	and	and	CCONJ
ajst-19139	7	42	cellular	cellular	ADJ
ajst-19139	7	43	parameters	parameter	NOUN
ajst-19139	7	44	that	that	PRON
ajst-19139	7	45	have	have	AUX
ajst-19139	7	46	been	be	AUX
ajst-19139	7	47	shown	show	VERB
ajst-19139	7	48	to	to	PART
ajst-19139	7	49	affect	affect	VERB
ajst-19139	7	50	antigen	antigen	ADJ
ajst-19139	7	51	specificity	specificity	NOUN
ajst-19139	7	52	.	.	PUNCT
ajst-19139	8	1	in	in	ADP
ajst-19139	8	2	this	this	DET
ajst-19139	8	3	paper	paper	NOUN
ajst-19139	8	4	,	,	PUNCT
ajst-19139	8	5	we	we	PRON
ajst-19139	8	6	review	review	VERB
ajst-19139	8	7	the	the	DET
ajst-19139	8	8	preclinical	preclinical	ADJ
ajst-19139	8	9	and	and	CCONJ
ajst-19139	8	10	clinical	clinical	ADJ
ajst-19139	8	11	potential	potential	NOUN
ajst-19139	8	12	of	of	ADP
ajst-19139	8	13	tcr	tcr	PROPN
ajst-19139	8	14	-	-	PUNCT
ajst-19139	8	15	modified	modify	VERB
ajst-19139	8	16	t	t	NOUN
ajst-19139	8	17	cells	cell	NOUN
ajst-19139	8	18	,	,	PUNCT
ajst-19139	8	19	summarize	summarize	VERB
ajst-19139	8	20	contributions	contribution	NOUN
ajst-19139	8	21	that	that	PRON
ajst-19139	8	22	challenge	challenge	VERB
ajst-19139	8	23	the	the	DET
ajst-19139	8	24	role	role	NOUN
ajst-19139	8	25	of	of	ADP
ajst-19139	8	26	tcr	tcr	PROPN
ajst-19139	8	27	affinity	affinity	NOUN
ajst-19139	8	28	in	in	ADP
ajst-19139	8	29	antigen	antigen	ADJ
ajst-19139	8	30	recognition	recognition	NOUN
ajst-19139	8	31	,	,	PUNCT
ajst-19139	8	32	and	and	CCONJ
ajst-19139	8	33	explore	explore	VERB
ajst-19139	8	34	how	how	SCONJ
ajst-19139	8	35	structure	structure	NOUN
ajst-19139	8	36	-	-	PUNCT
ajst-19139	8	37	guided	guide	VERB
ajst-19139	8	38	design	design	NOUN
ajst-19139	8	39	can	can	AUX
ajst-19139	8	40	be	be	AUX
ajst-19139	8	41	used	use	VERB
ajst-19139	8	42	to	to	PART
ajst-19139	8	43	manipulate	manipulate	VERB
ajst-19139	8	44	antigen	antigen	ADJ
ajst-19139	8	45	specificity	specificity	NOUN
ajst-19139	8	46	and	and	CCONJ
ajst-19139	8	47	tcr	tcr	PROPN
ajst-19139	8	48	crossreactivity	crossreactivity	NOUN
ajst-19139	8	49	to	to	PART
ajst-19139	8	50	improve	improve	VERB
ajst-19139	8	51	the	the	DET
ajst-19139	8	52	safety	safety	NOUN
ajst-19139	8	53	and	and	CCONJ
ajst-19139	8	54	efficacy	efficacy	NOUN
ajst-19139	8	55	of	of	ADP
ajst-19139	8	56	tcr	tcr	PROPN
ajst-19139	8	57	-	-	PUNCT
ajst-19139	8	58	modified	modify	VERB
ajst-19139	8	59	t	t	NOUN
ajst-19139	8	60	cells	cell	NOUN
ajst-19139	8	61	for	for	ADP
ajst-19139	8	62	act	act	NOUN
ajst-19139	8	63	.	.	PUNCT
ajst-19139	9	1	keywords	keyword	NOUN
ajst-19139	9	2	:	:	PUNCT
ajst-19139	9	3	gene	gene	NOUN
ajst-19139	9	4	prediction	prediction	NOUN
ajst-19139	9	5	;	;	PUNCT
ajst-19139	9	6	artificial	artificial	ADJ
ajst-19139	9	7	intelligence	intelligence	NOUN
ajst-19139	9	8	;	;	PUNCT
ajst-19139	9	9	t	t	NOUN
ajst-19139	9	10	cell	cell	NOUN
ajst-19139	9	11	receptor	receptor	NOUN
ajst-19139	9	12	;	;	PUNCT
ajst-19139	9	13	antibody	antibody	NOUN
ajst-19139	9	14	binding	bind	VERB
ajst-19139	9	15	.	.	PUNCT
ajst-19139	10	1	1	1	X
ajst-19139	10	2	.	.	X
ajst-19139	10	3	introduction	introduction	NOUN
ajst-19139	10	4	t	t	PROPN
ajst-19139	10	5	cells	cell	NOUN
ajst-19139	10	6	typically	typically	ADV
ajst-19139	10	7	recognize	recognize	VERB
ajst-19139	10	8	antigens	antigen	NOUN
ajst-19139	10	9	on	on	ADP
ajst-19139	10	10	members	member	NOUN
ajst-19139	10	11	of	of	ADP
ajst-19139	10	12	the	the	DET
ajst-19139	10	13	mhc	mhc	PROPN
ajst-19139	10	14	protein	protein	NOUN
ajst-19139	10	15	family	family	NOUN
ajst-19139	10	16	through	through	ADP
ajst-19139	10	17	highly	highly	ADV
ajst-19139	10	18	diverse	diverse	ADJ
ajst-19139	10	19	heterodimer	heterodimer	NOUN
ajst-19139	10	20	t	t	PROPN
ajst-19139	10	21	cell	cell	NOUN
ajst-19139	10	22	receptors	receptor	NOUN
ajst-19139	10	23	(	(	PUNCT
ajst-19139	10	24	tcrs	tcrs	NOUN
ajst-19139	10	25	)	)	PUNCT
ajst-19139	10	26	expressed	express	VERB
ajst-19139	10	27	on	on	ADP
ajst-19139	10	28	the	the	DET
ajst-19139	10	29	surface	surface	NOUN
ajst-19139	10	30	.	.	PUNCT
ajst-19139	11	1	these	these	DET
ajst-19139	11	2	antigens	antigen	NOUN
ajst-19139	11	3	are	be	AUX
ajst-19139	11	4	usually	usually	ADV
ajst-19139	11	5	short	short	ADJ
ajst-19139	11	6	peptide	peptide	ADJ
ajst-19139	11	7	fragments	fragment	NOUN
ajst-19139	11	8	of	of	ADP
ajst-19139	11	9	eight	eight	NUM
ajst-19139	11	10	or	or	CCONJ
ajst-19139	11	11	more	more	ADJ
ajst-19139	11	12	residues	residue	NOUN
ajst-19139	11	13	,	,	PUNCT
ajst-19139	11	14	and	and	CCONJ
ajst-19139	11	15	their	their	PRON
ajst-19139	11	16	presentation	presentation	NOUN
ajst-19139	11	17	is	be	AUX
ajst-19139	11	18	largely	largely	ADV
ajst-19139	11	19	dependent	dependent	ADJ
ajst-19139	11	20	on	on	ADP
ajst-19139	11	21	the	the	DET
ajst-19139	11	22	structural	structural	ADJ
ajst-19139	11	23	preferences	preference	NOUN
ajst-19139	11	24	of	of	ADP
ajst-19139	11	25	the	the	DET
ajst-19139	11	26	mhc	mhc	PROPN
ajst-19139	11	27	alleles	allele	NOUN
ajst-19139	11	28	.	.	PUNCT
ajst-19139	12	1	lipids	lipid	NOUN
ajst-19139	12	2	,	,	PUNCT
ajst-19139	12	3	metabolites	metabolite	NOUN
ajst-19139	12	4	and	and	CCONJ
ajst-19139	12	5	oligosaccharide	oligosaccharide	NOUN
ajst-19139	12	6	t	t	PROPN
ajst-19139	12	7	cell	cell	NOUN
ajst-19139	12	8	antigens	antigen	NOUN
ajst-19139	12	9	have	have	AUX
ajst-19139	12	10	also	also	ADV
ajst-19139	12	11	been	be	AUX
ajst-19139	12	12	reported	report	VERB
ajst-19139	12	13	.	.	PUNCT
ajst-19139	13	1	[	[	X
ajst-19139	13	2	1]tcr	1]tcr	NUM
ajst-19139	13	3	usually	usually	ADV
ajst-19139	13	4	binds	bind	VERB
ajst-19139	13	5	to	to	ADP
ajst-19139	13	6	the	the	DET
ajst-19139	13	7	antigen	antigen	ADJ
ajst-19139	13	8	mhc	mhc	PROPN
ajst-19139	13	9	complex	complex	NOUN
ajst-19139	13	10	via	via	ADP
ajst-19139	13	11	one	one	NUM
ajst-19139	13	12	or	or	CCONJ
ajst-19139	13	13	more	more	ADJ
ajst-19139	13	14	of	of	ADP
ajst-19139	13	15	its	its	PRON
ajst-19139	13	16	six	six	NUM
ajst-19139	13	17	complementary	complementary	ADJ
ajst-19139	13	18	determining	determine	VERB
ajst-19139	13	19	rings	ring	NOUN
ajst-19139	13	20	(	(	PUNCT
ajst-19139	13	21	cdrs	cdr	NOUN
ajst-19139	13	22	)	)	PUNCT
ajst-19139	13	23	,	,	PUNCT
ajst-19139	13	24	with	with	ADP
ajst-19139	13	25	each	each	DET
ajst-19139	13	26	chain	chain	NOUN
ajst-19139	13	27	of	of	ADP
ajst-19139	13	28	the	the	DET
ajst-19139	13	29	tcr	tcr	PROPN
ajst-19139	13	30	dimer	dimer	NOUN
ajst-19139	13	31	contributing	contribute	VERB
ajst-19139	13	32	three	three	NUM
ajst-19139	13	33	.	.	PUNCT
ajst-19139	14	1	the	the	DET
ajst-19139	14	2	critical	critical	ADJ
ajst-19139	14	3	role	role	NOUN
ajst-19139	14	4	of	of	ADP
ajst-19139	14	5	tcr	tcr	PROPN
ajst-19139	14	6	in	in	ADP
ajst-19139	14	7	disease	disease	NOUN
ajst-19139	14	8	surveillance	surveillance	NOUN
ajst-19139	14	9	and	and	CCONJ
ajst-19139	14	10	response	response	NOUN
ajst-19139	14	11	,	,	PUNCT
ajst-19139	14	12	as	as	ADV
ajst-19139	14	13	well	well	ADV
ajst-19139	14	14	as	as	ADP
ajst-19139	14	15	in	in	ADP
ajst-19139	14	16	the	the	DET
ajst-19139	14	17	development	development	NOUN
ajst-19139	14	18	of	of	ADP
ajst-19139	14	19	new	new	ADJ
ajst-19139	14	20	vaccines	vaccine	NOUN
ajst-19139	14	21	and	and	CCONJ
ajst-19139	14	22	therapies	therapy	NOUN
ajst-19139	14	23	,	,	PUNCT
ajst-19139	14	24	has	have	AUX
ajst-19139	14	25	driven	drive	VERB
ajst-19139	14	26	a	a	DET
ajst-19139	14	27	concerted	concerted	ADJ
ajst-19139	14	28	effort	effort	NOUN
ajst-19139	14	29	to	to	PART
ajst-19139	14	30	decode	decode	VERB
ajst-19139	14	31	the	the	DET
ajst-19139	14	32	rules	rule	NOUN
ajst-19139	14	33	by	by	ADP
ajst-19139	14	34	which	which	PRON
ajst-19139	14	35	t	t	NOUN
ajst-19139	14	36	cells	cell	NOUN
ajst-19139	14	37	recognize	recognize	VERB
ajst-19139	14	38	homologous	homologous	ADJ
ajst-19139	14	39	antigen	antigen	PROPN
ajst-19139	14	40	-	-	PUNCT
ajst-19139	14	41	mhc	mhc	NOUN
ajst-19139	14	42	complexes	complex	NOUN
ajst-19139	14	43	.	.	PUNCT
ajst-19139	15	1	[	[	X
ajst-19139	15	2	2	2	NUM
ajst-19139	15	3	-	-	SYM
ajst-19139	15	4	3]however	3]however	NUM
ajst-19139	15	5	,	,	PUNCT
ajst-19139	15	6	cost	cost	NOUN
ajst-19139	15	7	and	and	CCONJ
ajst-19139	15	8	experimental	experimental	ADJ
ajst-19139	15	9	limitations	limitation	NOUN
ajst-19139	15	10	limit	limit	VERB
ajst-19139	15	11	the	the	DET
ajst-19139	15	12	available	available	ADJ
ajst-19139	15	13	databases	database	NOUN
ajst-19139	15	14	to	to	ADP
ajst-19139	15	15	only	only	ADV
ajst-19139	15	16	a	a	DET
ajst-19139	15	17	small	small	ADJ
ajst-19139	15	18	fraction	fraction	NOUN
ajst-19139	15	19	of	of	ADP
ajst-19139	15	20	the	the	DET
ajst-19139	15	21	possible	possible	ADJ
ajst-19139	15	22	sample	sample	NOUN
ajst-19139	15	23	space	space	NOUN
ajst-19139	15	24	for	for	ADP
ajst-19139	15	25	tcr	tcr	PROPN
ajst-19139	15	26	-	-	PUNCT
ajst-19139	15	27	antigen	antigen	ADV
ajst-19139	15	28	-	-	PUNCT
ajst-19139	15	29	binding	bind	VERB
ajst-19139	15	30	pairs	pair	NOUN
ajst-19139	15	31	.	.	PUNCT
ajst-19139	16	1	these	these	DET
ajst-19139	16	2	datasets	dataset	NOUN
ajst-19139	16	3	are	be	AUX
ajst-19139	16	4	also	also	ADV
ajst-19139	16	5	not	not	PART
ajst-19139	16	6	well	well	ADV
ajst-19139	16	7	representative	representative	NOUN
ajst-19139	16	8	of	of	ADP
ajst-19139	16	9	the	the	DET
ajst-19139	16	10	self	self	NOUN
ajst-19139	16	11	and	and	CCONJ
ajst-19139	16	12	pathogenicity	pathogenicity	NOUN
ajst-19139	16	13	epitopes	epitope	NOUN
ajst-19139	16	14	and	and	CCONJ
ajst-19139	16	15	the	the	DET
ajst-19139	16	16	various	various	ADJ
ajst-19139	16	17	mhc	mhc	PROPN
ajst-19139	16	18	environments	environment	NOUN
ajst-19139	16	19	in	in	ADP
ajst-19139	16	20	which	which	PRON
ajst-19139	16	21	they	they	PRON
ajst-19139	16	22	may	may	AUX
ajst-19139	16	23	occur	occur	VERB
ajst-19139	16	24	.	.	PUNCT
ajst-19139	17	1	it	it	PRON
ajst-19139	17	2	is	be	AUX
ajst-19139	17	3	important	important	ADJ
ajst-19139	17	4	to	to	PART
ajst-19139	17	5	distinguish	distinguish	VERB
ajst-19139	17	6	between	between	ADP
ajst-19139	17	7	tcr	tcr	PROPN
ajst-19139	17	8	specificity	specificity	NOUN
ajst-19139	17	9	and	and	CCONJ
ajst-19139	17	10	antigen	antigen	ADJ
ajst-19139	17	11	immunogenicity	immunogenicity	NOUN
ajst-19139	17	12	.	.	PUNCT
ajst-19139	18	1	the	the	DET
ajst-19139	18	2	former	former	ADJ
ajst-19139	18	3	predicts	predict	VERB
ajst-19139	18	4	the	the	DET
ajst-19139	18	5	binding	binding	NOUN
ajst-19139	18	6	between	between	ADP
ajst-19139	18	7	the	the	DET
ajst-19139	18	8	tcr	tcr	PROPN
ajst-19139	18	9	set	set	NOUN
ajst-19139	18	10	and	and	CCONJ
ajst-19139	18	11	the	the	DET
ajst-19139	18	12	antigen	antigen	ADJ
ajst-19139	18	13	mhc	mhc	PROPN
ajst-19139	18	14	complex	complex	NOUN
ajst-19139	18	15	.	.	PUNCT
ajst-19139	19	1	the	the	DET
ajst-19139	19	2	latter	latter	ADJ
ajst-19139	19	3	can	can	AUX
ajst-19139	19	4	be	be	AUX
ajst-19139	19	5	described	describe	VERB
ajst-19139	19	6	as	as	ADP
ajst-19139	19	7	predicting	predict	VERB
ajst-19139	19	8	whether	whether	SCONJ
ajst-19139	19	9	a	a	DET
ajst-19139	19	10	given	give	VERB
ajst-19139	19	11	antigen	antigen	NOUN
ajst-19139	19	12	will	will	AUX
ajst-19139	19	13	induce	induce	VERB
ajst-19139	19	14	a	a	DET
ajst-19139	19	15	functional	functional	ADJ
ajst-19139	19	16	t	t	NOUN
ajst-19139	19	17	cell	cell	NOUN
ajst-19139	19	18	immune	immune	ADJ
ajst-19139	19	19	response	response	NOUN
ajst-19139	19	20	,	,	PUNCT
ajst-19139	19	21	i.e.	i.e.	X
ajst-19139	19	22	,	,	PUNCT
ajst-19139	19	23	a	a	DET
ajst-19139	19	24	complex	complex	ADJ
ajst-19139	19	25	chain	chain	NOUN
ajst-19139	19	26	of	of	ADP
ajst-19139	19	27	events	event	NOUN
ajst-19139	19	28	involving	involve	VERB
ajst-19139	19	29	antigen	antigen	ADJ
ajst-19139	19	30	expression	expression	NOUN
ajst-19139	19	31	,	,	PUNCT
ajst-19139	19	32	processing	processing	NOUN
ajst-19139	19	33	and	and	CCONJ
ajst-19139	19	34	presentation	presentation	NOUN
ajst-19139	19	35	,	,	PUNCT
ajst-19139	19	36	tcr	tcr	PROPN
ajst-19139	19	37	binding	binding	PROPN
ajst-19139	19	38	,	,	PUNCT
ajst-19139	19	39	t	t	NOUN
ajst-19139	19	40	cell	cell	NOUN
ajst-19139	19	41	activation	activation	NOUN
ajst-19139	19	42	,	,	PUNCT
ajst-19139	19	43	amplification	amplification	NOUN
ajst-19139	19	44	,	,	PUNCT
ajst-19139	19	45	and	and	CCONJ
ajst-19139	19	46	effector	effector	NOUN
ajst-19139	19	47	differentiation	differentiation	NOUN
ajst-19139	19	48	.	.	PUNCT
ajst-19139	20	1	although	although	SCONJ
ajst-19139	20	2	great	great	ADJ
ajst-19139	20	3	progress	progress	NOUN
ajst-19139	20	4	has	have	AUX
ajst-19139	20	5	been	be	AUX
ajst-19139	20	6	made	make	VERB
ajst-19139	20	7	in	in	ADP
ajst-19139	20	8	improving	improve	VERB
ajst-19139	20	9	antigen	antigen	ADJ
ajst-19139	20	10	processing	processing	NOUN
ajst-19139	20	11	and	and	CCONJ
ajst-19139	20	12	presentation	presentation	NOUN
ajst-19139	20	13	prediction	prediction	NOUN
ajst-19139	20	14	of	of	ADP
ajst-19139	20	15	common	common	ADJ
ajst-19139	20	16	hla	hla	NOUN
ajst-19139	20	17	alleles	allele	NOUN
ajst-19139	20	18	,	,	PUNCT
ajst-19139	20	19	the	the	DET
ajst-19139	20	20	nature	nature	NOUN
ajst-19139	20	21	and	and	CCONJ
ajst-19139	20	22	extent	extent	NOUN
ajst-19139	20	23	to	to	ADP
ajst-19139	20	24	which	which	PRON
ajst-19139	20	25	presenting	present	VERB
ajst-19139	20	26	peptides	peptide	NOUN
ajst-19139	20	27	trigger	trigger	NOUN
ajst-19139	20	28	t	t	NOUN
ajst-19139	20	29	cell	cell	NOUN
ajst-19139	20	30	responses	response	NOUN
ajst-19139	20	31	remains	remain	VERB
ajst-19139	20	32	to	to	PART
ajst-19139	20	33	be	be	AUX
ajst-19139	20	34	elucidated	elucidate	VERB
ajst-19139	20	35	.	.	PUNCT
ajst-19139	21	1	there	there	PRON
ajst-19139	21	2	are	be	VERB
ajst-19139	21	3	significant	significant	ADJ
ajst-19139	21	4	gaps	gap	NOUN
ajst-19139	21	5	in	in	ADP
ajst-19139	21	6	predicting	predict	VERB
ajst-19139	21	7	[	[	PUNCT
ajst-19139	21	8	4	4	NUM
ajst-19139	21	9	-	-	SYM
ajst-19139	21	10	6]t	6]t	NUM
ajst-19139	21	11	cell	cell	NOUN
ajst-19139	21	12	activation	activation	NOUN
ajst-19139	21	13	for	for	ADP
ajst-19139	21	14	a	a	DET
ajst-19139	21	15	given	give	VERB
ajst-19139	21	16	peptide	peptide	NOUN
ajst-19139	21	17	,	,	PUNCT
ajst-19139	21	18	and	and	CCONJ
ajst-19139	21	19	the	the	DET
ajst-19139	21	20	parameters	parameter	NOUN
ajst-19139	21	21	that	that	PRON
ajst-19139	21	22	influence	influence	VERB
ajst-19139	21	23	pathologic	pathologic	ADJ
ajst-19139	21	24	peptide	peptide	NOUN
ajst-19139	21	25	or	or	CCONJ
ajst-19139	21	26	neoantigen	neoantigen	NOUN
ajst-19139	21	27	immunogenicity	immunogenicity	NOUN
ajst-19139	21	28	are	be	AUX
ajst-19139	21	29	still	still	ADV
ajst-19139	21	30	being	be	AUX
ajst-19139	21	31	studied	study	VERB
ajst-19139	21	32	in	in	ADP
ajst-19139	21	33	depth	depth	NOUN
ajst-19139	21	34	.	.	PUNCT
ajst-19139	22	1	only	only	ADV
ajst-19139	22	2	by	by	ADP
ajst-19139	22	3	integrating	integrate	VERB
ajst-19139	22	4	knowledge	knowledge	NOUN
ajst-19139	22	5	of	of	ADP
ajst-19139	22	6	antigen	antigen	ADJ
ajst-19139	22	7	presentation	presentation	NOUN
ajst-19139	22	8	,	,	PUNCT
ajst-19139	22	9	tcr	tcr	PROPN
ajst-19139	22	10	recognition	recognition	PROPN
ajst-19139	22	11	,	,	PUNCT
ajst-19139	22	12	dependent	dependent	ADJ
ajst-19139	22	13	activation	activation	NOUN
ajst-19139	22	14	,	,	PUNCT
ajst-19139	22	15	and	and	CCONJ
ajst-19139	22	16	effector	effector	NOUN
ajst-19139	22	17	function	function	NOUN
ajst-19139	22	18	at	at	ADP
ajst-19139	22	19	the	the	DET
ajst-19139	22	20	cellular	cellular	ADJ
ajst-19139	22	21	and	and	CCONJ
ajst-19139	22	22	tissue	tissue	NOUN
ajst-19139	22	23	levels	level	NOUN
ajst-19139	22	24	can	can	AUX
ajst-19139	22	25	the	the	DET
ajst-19139	22	26	benefits	benefit	NOUN
ajst-19139	22	27	of	of	ADP
ajst-19139	22	28	basic	basic	ADJ
ajst-19139	22	29	and	and	CCONJ
ajst-19139	22	30	translational	translational	ADJ
ajst-19139	22	31	science	science	NOUN
ajst-19139	22	32	be	be	AUX
ajst-19139	22	33	fully	fully	ADV
ajst-19139	22	34	realized	realize	VERB
ajst-19139	22	35	.	.	PUNCT
ajst-19139	23	1	this	this	DET
ajst-19139	23	2	paper	paper	NOUN
ajst-19139	23	3	addresses	address	VERB
ajst-19139	23	4	the	the	DET
ajst-19139	23	5	problem	problem	NOUN
ajst-19139	23	6	of	of	ADP
ajst-19139	23	7	predicting	predict	VERB
ajst-19139	23	8	tcr	tcr	PROPN
ajst-19139	23	9	antigen	antigen	NOUN
ajst-19139	23	10	specificity	specificity	NOUN
ajst-19139	23	11	and	and	CCONJ
ajst-19139	23	12	elaborates	elaborate	VERB
ajst-19139	23	13	on	on	ADP
ajst-19139	23	14	the	the	DET
ajst-19139	23	15	general	general	ADJ
ajst-19139	23	16	requirements	requirement	NOUN
ajst-19139	23	17	for	for	ADP
ajst-19139	23	18	antigen	antigen	ADV
ajst-19139	23	19	-	-	PUNCT
ajst-19139	23	20	binding	bind	VERB
ajst-19139	23	21	prediction	prediction	NOUN
ajst-19139	23	22	models	model	NOUN
ajst-19139	23	23	,	,	PUNCT
ajst-19139	23	24	highlights	highlight	VERB
ajst-19139	23	25	key	key	ADJ
ajst-19139	23	26	challenges	challenge	NOUN
ajst-19139	23	27	,	,	PUNCT
ajst-19139	23	28	and	and	CCONJ
ajst-19139	23	29	discusses	discuss	VERB
ajst-19139	23	30	how	how	SCONJ
ajst-19139	23	31	recent	recent	ADJ
ajst-19139	23	32	advances	advance	NOUN
ajst-19139	23	33	in	in	ADP
ajst-19139	23	34	digital	digital	ADJ
ajst-19139	23	35	biology	biology	NOUN
ajst-19139	23	36	such	such	ADJ
ajst-19139	23	37	as	as	ADP
ajst-19139	23	38	single	single	ADJ
ajst-19139	23	39	-	-	PUNCT
ajst-19139	23	40	cell	cell	NOUN
ajst-19139	23	41	technology	technology	NOUN
ajst-19139	23	42	and	and	CCONJ
ajst-19139	23	43	machine	machine	NOUN
ajst-19139	23	44	learning	learning	NOUN
ajst-19139	23	45	offer	offer	VERB
ajst-19139	23	46	possible	possible	ADJ
ajst-19139	23	47	solutions	solution	NOUN
ajst-19139	23	48	.	.	PUNCT
ajst-19139	24	1	[	[	X
ajst-19139	24	2	78]finally	78]finally	ADV
ajst-19139	24	3	,	,	PUNCT
ajst-19139	24	4	they	they	PRON
ajst-19139	24	5	describe	describe	VERB
ajst-19139	24	6	how	how	SCONJ
ajst-19139	24	7	predicting	predict	VERB
ajst-19139	24	8	tcr	tcr	PROPN
ajst-19139	24	9	specificity	specificity	NOUN
ajst-19139	24	10	can	can	AUX
ajst-19139	24	11	help	help	VERB
ajst-19139	24	12	us	we	PRON
ajst-19139	24	13	understand	understand	VERB
ajst-19139	24	14	the	the	DET
ajst-19139	24	15	broader	broad	ADJ
ajst-19139	24	16	puzzle	puzzle	NOUN
ajst-19139	24	17	of	of	ADP
ajst-19139	24	18	antigen	antigen	ADJ
ajst-19139	24	19	immunogenicity	immunogenicity	NOUN
ajst-19139	24	20	.	.	PUNCT
ajst-19139	25	1	2	2	X
ajst-19139	25	2	.	.	X
ajst-19139	25	3	related	relate	VERB
ajst-19139	25	4	work	work	NOUN
ajst-19139	25	5	2.1	2.1	NUM
ajst-19139	25	6	.	.	PUNCT
ajst-19139	26	1	cytodynamics	cytodynamic	NOUN
ajst-19139	26	2	of	of	ADP
ajst-19139	26	3	car	car	NOUN
ajst-19139	26	4	-	-	PUNCT
ajst-19139	26	5	ts	ts	ADP
ajst-19139	26	6	the	the	DET
ajst-19139	26	7	cytodynamics	cytodynamic	NOUN
ajst-19139	26	8	of	of	ADP
ajst-19139	26	9	circulating	circulate	VERB
ajst-19139	26	10	car	car	NOUN
ajst-19139	26	11	ts	ts	X
ajst-19139	26	12	(	(	PUNCT
ajst-19139	26	13	which	which	PRON
ajst-19139	26	14	has	have	VERB
ajst-19139	26	15	properties	property	NOUN
ajst-19139	26	16	of	of	ADP
ajst-19139	26	17	pharmacokinetics	pharmacokinetic	NOUN
ajst-19139	26	18	)	)	PUNCT
ajst-19139	26	19	are	be	AUX
ajst-19139	26	20	divided	divide	VERB
ajst-19139	26	21	into	into	ADP
ajst-19139	26	22	three	three	NUM
ajst-19139	26	23	distinct	distinct	ADJ
ajst-19139	26	24	phases	phase	NOUN
ajst-19139	26	25	:	:	PUNCT
ajst-19139	26	26	initial	initial	ADJ
ajst-19139	26	27	expansion	expansion	NOUN
ajst-19139	26	28	,	,	PUNCT
ajst-19139	26	29	followed	follow	VERB
ajst-19139	26	30	by	by	ADP
ajst-19139	26	31	rapid	rapid	ADJ
ajst-19139	26	32	contraction	contraction	NOUN
ajst-19139	26	33	,	,	PUNCT
ajst-19139	26	34	followed	follow	VERB
ajst-19139	26	35	by	by	ADP
ajst-19139	26	36	slow	slow	ADJ
ajst-19139	26	37	long	long	ADJ
ajst-19139	26	38	-	-	PUNCT
ajst-19139	26	39	term	term	NOUN
ajst-19139	26	40	decay	decay	NOUN
ajst-19139	26	41	3	3	NUM
ajst-19139	26	42	.	.	NOUN
ajst-19139	26	43	degree	degree	NOUN
ajst-19139	26	44	of	of	ADP
ajst-19139	26	45	cell	cell	NOUN
ajst-19139	26	46	expansion	expansion	NOUN
ajst-19139	26	47	(	(	PUNCT
ajst-19139	26	48	cmax	cmax	NOUN
ajst-19139	26	49	)	)	PUNCT
ajst-19139	26	50	and	and	CCONJ
ajst-19139	26	51	long	long	ADJ
ajst-19139	26	52	-	-	PUNCT
ajst-19139	26	53	term	term	NOUN
ajst-19139	26	54	exposure	exposure	NOUN
ajst-19139	26	55	(	(	PUNCT
ajst-19139	26	56	area	area	NOUN
ajst-19139	26	57	under	under	ADP
ajst-19139	26	58	the	the	DET
ajst-19139	26	59	curve	curve	NOUN
ajst-19139	26	60	(	(	PUNCT
ajst-19139	26	61	auc	auc	NOUN
ajst-19139	26	62	)	)	PUNCT
ajst-19139	26	63	)	)	PUNCT
ajst-19139	26	64	vary	vary	VERB
ajst-19139	26	65	widely	widely	ADV
ajst-19139	26	66	among	among	ADP
ajst-19139	26	67	patients	patient	NOUN
ajst-19139	26	68	(	(	PUNCT
ajst-19139	26	69	about	about	ADV
ajst-19139	26	70	three	three	NUM
ajst-19139	26	71	orders	order	NOUN
ajst-19139	26	72	of	of	ADP
ajst-19139	26	73	magnitude	magnitude	NOUN
ajst-19139	26	74	)	)	PUNCT
ajst-19139	26	75	and	and	CCONJ
ajst-19139	26	76	can	can	AUX
ajst-19139	26	77	predict	predict	VERB
ajst-19139	26	78	efficacy	efficacy	NOUN
ajst-19139	26	79	(	(	PUNCT
ajst-19139	26	80	tumor	tumor	NOUN
ajst-19139	26	81	volume	volume	NOUN
ajst-19139	26	82	reduction	reduction	NOUN
ajst-19139	26	83	)	)	PUNCT
ajst-19139	26	84	and	and	CCONJ
ajst-19139	26	85	toxic4	toxic4	PROPN
ajst-19139	26	86	.	.	PUNCT
ajst-19139	27	1	however	however	ADV
ajst-19139	27	2	,	,	PUNCT
ajst-19139	27	3	the	the	DET
ajst-19139	27	4	product	product	NOUN
ajst-19139	27	5	intrinsic	intrinsic	ADJ
ajst-19139	27	6	factors	factor	NOUN
ajst-19139	27	7	and	and	CCONJ
ajst-19139	27	8	host	host	NOUN
ajst-19139	27	9	intrinsic	intrinsic	ADJ
ajst-19139	27	10	factors	factor	NOUN
ajst-19139	27	11	that	that	PRON
ajst-19139	27	12	mediate	mediate	VERB
ajst-19139	27	13	this	this	DET
ajst-19139	27	14	pharmacology	pharmacology	NOUN
ajst-19139	27	15	are	be	AUX
ajst-19139	27	16	still	still	ADV
ajst-19139	27	17	not	not	PART
ajst-19139	27	18	clearly	clearly	ADV
ajst-19139	27	19	defined.[9	defined.[9	NOUN
ajst-19139	27	20	]	]	X
ajst-19139	27	21	an	an	DET
ajst-19139	27	22	empirical	empirical	ADJ
ajst-19139	27	23	nonlinear	nonlinear	ADJ
ajst-19139	27	24	mixed	mix	VERB
ajst-19139	27	25	-	-	PUNCT
ajst-19139	27	26	effect	effect	NOUN
ajst-19139	27	27	model	model	NOUN
ajst-19139	27	28	was	be	AUX
ajst-19139	27	29	developed	develop	VERB
ajst-19139	27	30	to	to	PART
ajst-19139	27	31	quantify	quantify	VERB
ajst-19139	27	32	the	the	DET
ajst-19139	27	33	pharmacokinetics	pharmacokinetic	NOUN
ajst-19139	27	34	of	of	ADP
ajst-19139	27	35	kymriah	kymriah	PROPN
ajst-19139	27	36	(	(	PUNCT
ajst-19139	27	37	tisagenlecleul	tisagenlecleul	ADJ
ajst-19139	27	38	,	,	PUNCT
ajst-19139	27	39	ctl019)5	ctl019)5	NOUN
ajst-19139	27	40	and	and	CCONJ
ajst-19139	27	41	provided	provide	VERB
ajst-19139	27	42	as	as	ADP
ajst-19139	27	43	part	part	NOUN
ajst-19139	27	44	of	of	ADP
ajst-19139	27	45	the	the	DET
ajst-19139	27	46	biologics	biologic	NOUN
ajst-19139	27	47	license	license	NOUN
ajst-19139	27	48	application	application	NOUN
ajst-19139	27	49	(	(	PUNCT
ajst-19139	27	50	bla)4	bla)4	PROPN
ajst-19139	27	51	.	.	PUNCT
ajst-19139	28	1	this	this	DET
ajst-19139	28	2	formulation	formulation	NOUN
ajst-19139	28	3	has	have	AUX
ajst-19139	28	4	24	24	NUM
ajst-19139	28	5	been	be	AUX
ajst-19139	28	6	shown	show	VERB
ajst-19139	28	7	to	to	PART
ajst-19139	28	8	be	be	AUX
ajst-19139	28	9	suitable	suitable	ADJ
ajst-19139	28	10	for	for	ADP
ajst-19139	28	11	a	a	DET
ajst-19139	28	12	variety	variety	NOUN
ajst-19139	28	13	of	of	ADP
ajst-19139	28	14	other	other	ADJ
ajst-19139	28	15	car	car	NOUN
ajst-19139	28	16	-	-	PUNCT
ajst-19139	28	17	t	t	NOUN
ajst-19139	28	18	therapies	therapy	NOUN
ajst-19139	28	19	for	for	ADP
ajst-19139	28	20	a	a	DET
ajst-19139	28	21	variety	variety	NOUN
ajst-19139	28	22	of	of	ADP
ajst-19139	28	23	indications	indication	NOUN
ajst-19139	28	24	and	and	CCONJ
ajst-19139	28	25	has	have	AUX
ajst-19139	28	26	been	be	AUX
ajst-19139	28	27	adopted	adopt	VERB
ajst-19139	28	28	by	by	ADP
ajst-19139	28	29	the	the	DET
ajst-19139	28	30	fda	fda	PROPN
ajst-19139	28	31	as	as	ADP
ajst-19139	28	32	a	a	DET
ajst-19139	28	33	benchmark	benchmark	NOUN
ajst-19139	28	34	.	.	PUNCT
ajst-19139	29	1	[	[	X
ajst-19139	29	2	10	10	NUM
ajst-19139	29	3	-	-	SYM
ajst-19139	29	4	13]although	13]although	NUM
ajst-19139	29	5	the	the	DET
ajst-19139	29	6	empirical	empirical	ADJ
ajst-19139	29	7	equation	equation	NOUN
ajst-19139	29	8	is	be	AUX
ajst-19139	29	9	a	a	DET
ajst-19139	29	10	useful	useful	ADJ
ajst-19139	29	11	tool	tool	NOUN
ajst-19139	29	12	for	for	ADP
ajst-19139	29	13	quantifying	quantify	VERB
ajst-19139	29	14	clinical	clinical	ADJ
ajst-19139	29	15	data	datum	NOUN
ajst-19139	29	16	,	,	PUNCT
ajst-19139	29	17	it	it	PRON
ajst-19139	29	18	does	do	AUX
ajst-19139	29	19	not	not	PART
ajst-19139	29	20	explain	explain	VERB
ajst-19139	29	21	the	the	DET
ajst-19139	29	22	underlying	underlie	VERB
ajst-19139	29	23	biology	biology	NOUN
ajst-19139	29	24	and	and	CCONJ
ajst-19139	29	25	is	be	AUX
ajst-19139	29	26	therefore	therefore	ADV
ajst-19139	29	27	of	of	ADP
ajst-19139	29	28	limited	limited	ADJ
ajst-19139	29	29	value	value	NOUN
ajst-19139	29	30	in	in	ADP
ajst-19139	29	31	modeling	model	VERB
ajst-19139	29	32	the	the	DET
ajst-19139	29	33	effects	effect	NOUN
ajst-19139	29	34	of	of	ADP
ajst-19139	29	35	alternate	alternate	ADJ
ajst-19139	29	36	car	car	NOUN
ajst-19139	29	37	-	-	PUNCT
ajst-19139	29	38	t	t	NOUN
ajst-19139	29	39	designs	design	NOUN
ajst-19139	29	40	,	,	PUNCT
ajst-19139	29	41	cell	cell	NOUN
ajst-19139	29	42	origins	origin	NOUN
ajst-19139	29	43	,	,	PUNCT
ajst-19139	29	44	or	or	CCONJ
ajst-19139	29	45	treatment	treatment	NOUN
ajst-19139	29	46	regimens	regimen	NOUN
ajst-19139	29	47	.	.	PUNCT
ajst-19139	30	1	a	a	DET
ajst-19139	30	2	mathematical	mathematical	ADJ
ajst-19139	30	3	model	model	NOUN
ajst-19139	30	4	that	that	PRON
ajst-19139	30	5	can	can	AUX
ajst-19139	30	6	quantitatively	quantitatively	ADV
ajst-19139	30	7	describe	describe	VERB
ajst-19139	30	8	clinical	clinical	ADJ
ajst-19139	30	9	data	datum	NOUN
ajst-19139	30	10	,	,	PUNCT
ajst-19139	30	11	also	also	ADV
ajst-19139	30	12	based	base	VERB
ajst-19139	30	13	on	on	ADP
ajst-19139	30	14	sound	sound	ADJ
ajst-19139	30	15	biological	biological	ADJ
ajst-19139	30	16	mechanisms	mechanism	NOUN
ajst-19139	30	17	,	,	PUNCT
ajst-19139	30	18	is	be	AUX
ajst-19139	30	19	useful	useful	ADJ
ajst-19139	30	20	for	for	ADP
ajst-19139	30	21	the	the	DET
ajst-19139	30	22	development	development	NOUN
ajst-19139	30	23	of	of	ADP
ajst-19139	30	24	novel	novel	ADJ
ajst-19139	30	25	car	car	NOUN
ajst-19139	30	26	-	-	PUNCT
ajst-19139	30	27	t	t	NOUN
ajst-19139	30	28	products	product	NOUN
ajst-19139	30	29	,	,	PUNCT
ajst-19139	30	30	just	just	ADV
ajst-19139	30	31	as	as	SCONJ
ajst-19139	30	32	systematic	systematic	ADJ
ajst-19139	30	33	pharmacological	pharmacological	NOUN
ajst-19139	30	34	models	model	NOUN
ajst-19139	30	35	have	have	AUX
ajst-19139	30	36	been	be	AUX
ajst-19139	30	37	shown	show	VERB
ajst-19139	30	38	for	for	ADP
ajst-19139	30	39	other	other	ADJ
ajst-19139	30	40	therapeutic	therapeutic	ADJ
ajst-19139	30	41	modalities	modality	NOUN
ajst-19139	30	42	.	.	PUNCT
ajst-19139	31	1	figure	figure	NOUN
ajst-19139	31	2	1	1	NUM
ajst-19139	31	3	.	.	PUNCT
ajst-19139	31	4	car	car	NOUN
ajst-19139	31	5	-	-	PUNCT
ajst-19139	31	6	ts	ts	NOUN
ajst-19139	31	7	model	model	NOUN
ajst-19139	31	8	architecture	architecture	NOUN
ajst-19139	31	9	we	we	PRON
ajst-19139	31	10	think	think	VERB
ajst-19139	31	11	that	that	SCONJ
ajst-19139	31	12	t	t	PROPN
ajst-19139	31	13	cells	cell	NOUN
ajst-19139	31	14	(	(	PUNCT
ajst-19139	31	15	and	and	CCONJ
ajst-19139	31	16	car	car	NOUN
ajst-19139	31	17	-	-	PUNCT
ajst-19139	31	18	t	t	NOUN
ajst-19139	31	19	products	product	NOUN
ajst-19139	31	20	)	)	PUNCT
ajst-19139	31	21	are	be	AUX
ajst-19139	31	22	composed	compose	VERB
ajst-19139	31	23	of	of	ADP
ajst-19139	31	24	three	three	NUM
ajst-19139	31	25	functionally	functionally	ADV
ajst-19139	31	26	distinct	distinct	ADJ
ajst-19139	31	27	cell	cell	NOUN
ajst-19139	31	28	populations	population	NOUN
ajst-19139	31	29	:	:	PUNCT
ajst-19139	31	30	t	t	PROPN
ajst-19139	31	31	memory	memory	NOUN
ajst-19139	31	32	cells	cell	NOUN
ajst-19139	31	33	(	(	PUNCT
ajst-19139	31	34	tm	tm	NOUN
ajst-19139	31	35	)	)	PUNCT
ajst-19139	31	36	,	,	PUNCT
ajst-19139	31	37	capable	capable	ADJ
ajst-19139	31	38	of	of	ADP
ajst-19139	31	39	long	long	ADJ
ajst-19139	31	40	-	-	PUNCT
ajst-19139	31	41	term	term	NOUN
ajst-19139	31	42	self	self	NOUN
ajst-19139	31	43	-	-	PUNCT
ajst-19139	31	44	renewal	renewal	NOUN
ajst-19139	31	45	and	and	CCONJ
ajst-19139	31	46	immune	immune	ADJ
ajst-19139	31	47	memory	memory	NOUN
ajst-19139	31	48	;	;	PUNCT
ajst-19139	31	49	t	t	PROPN
ajst-19139	31	50	-	-	PUNCT
ajst-19139	31	51	effector	effector	NOUN
ajst-19139	31	52	(	(	PUNCT
ajst-19139	31	53	te	te	PROPN
ajst-19139	31	54	)	)	PUNCT
ajst-19139	31	55	,	,	PUNCT
ajst-19139	31	56	which	which	PRON
ajst-19139	31	57	is	be	AUX
ajst-19139	31	58	responsible	responsible	ADJ
ajst-19139	31	59	for	for	ADP
ajst-19139	31	60	targetmediated	targetmediate	VERB
ajst-19139	31	61	cell	cell	NOUN
ajst-19139	31	62	death	death	NOUN
ajst-19139	31	63	;	;	PUNCT
ajst-19139	31	64	as	as	ADV
ajst-19139	31	65	well	well	ADV
ajst-19139	31	66	as	as	ADP
ajst-19139	31	67	depleted	deplete	VERB
ajst-19139	31	68	t	t	NOUN
ajst-19139	31	69	cells	cell	NOUN
ajst-19139	31	70	(	(	PUNCT
ajst-19139	31	71	tx	tx	PROPN
ajst-19139	31	72	)	)	PUNCT
ajst-19139	31	73	,	,	PUNCT
ajst-19139	31	74	which	which	PRON
ajst-19139	31	75	lack	lack	VERB
ajst-19139	31	76	killing	kill	VERB
ajst-19139	31	77	potential	potential	ADJ
ajst-19139	31	78	and	and	CCONJ
ajst-19139	31	79	proliferation	proliferation	NOUN
ajst-19139	31	80	capacity	capacity	NOUN
ajst-19139	31	81	.	.	PUNCT
ajst-19139	32	1	the	the	DET
ajst-19139	32	2	antigensensing	antigensense	VERB
ajst-19139	32	3	switch	switch	NOUN
ajst-19139	32	4	coordinates	coordinate	VERB
ajst-19139	32	5	the	the	DET
ajst-19139	32	6	decision	decision	NOUN
ajst-19139	32	7	of	of	ADP
ajst-19139	32	8	self	self	NOUN
ajst-19139	32	9	-	-	PUNCT
ajst-19139	32	10	renewal	renewal	NOUN
ajst-19139	32	11	and	and	CCONJ
ajst-19139	32	12	differentiation	differentiation	NOUN
ajst-19139	32	13	of	of	ADP
ajst-19139	32	14	memory	memory	NOUN
ajst-19139	32	15	cells	cell	NOUN
ajst-19139	32	16	,	,	PUNCT
ajst-19139	32	17	the	the	DET
ajst-19139	32	18	effector	effector	NOUN
ajst-19139	32	19	proliferation	proliferation	NOUN
ajst-19139	32	20	rate	rate	NOUN
ajst-19139	32	21	,	,	PUNCT
ajst-19139	32	22	depletion	depletion	NOUN
ajst-19139	32	23	,	,	PUNCT
ajst-19139	32	24	and	and	CCONJ
ajst-19139	32	25	the	the	DET
ajst-19139	32	26	rate	rate	NOUN
ajst-19139	32	27	of	of	ADP
ajst-19139	32	28	regeneration	regeneration	NOUN
ajst-19139	32	29	of	of	ADP
ajst-19139	32	30	memory	memory	NOUN
ajst-19139	32	31	cells	cell	NOUN
ajst-19139	32	32	from	from	ADP
ajst-19139	32	33	effectors	effector	NOUN
ajst-19139	32	34	(	(	PUNCT
ajst-19139	32	35	method	method	NOUN
ajst-19139	32	36	)	)	PUNCT
ajst-19139	32	37	.	.	PUNCT
ajst-19139	33	1	[	[	X
ajst-19139	33	2	14]this	14]this	NUM
ajst-19139	33	3	represents	represent	VERB
ajst-19139	33	4	a	a	DET
ajst-19139	33	5	conceptually	conceptually	ADV
ajst-19139	33	6	simple	simple	ADJ
ajst-19139	33	7	but	but	CCONJ
ajst-19139	33	8	biologically	biologically	ADV
ajst-19139	33	9	sound	sound	ADJ
ajst-19139	33	10	description	description	NOUN
ajst-19139	33	11	of	of	ADP
ajst-19139	33	12	t	t	PROPN
ajst-19139	33	13	cell	cell	NOUN
ajst-19139	33	14	function	function	NOUN
ajst-19139	33	15	and	and	CCONJ
ajst-19139	33	16	regulatory	regulatory	ADJ
ajst-19139	33	17	control	control	NOUN
ajst-19139	33	18	in	in	ADP
ajst-19139	33	19	response	response	NOUN
ajst-19139	33	20	to	to	ADP
ajst-19139	33	21	immune	immune	ADJ
ajst-19139	33	22	demands	demand	NOUN
ajst-19139	33	23	determined	determine	VERB
ajst-19139	33	24	by	by	ADP
ajst-19139	33	25	the	the	DET
ajst-19139	33	26	burden	burden	NOUN
ajst-19139	33	27	of	of	ADP
ajst-19139	33	28	systemic	systemic	ADJ
ajst-19139	33	29	antigens	antigen	NOUN
ajst-19139	33	30	(	(	PUNCT
ajst-19139	33	31	figure	figure	NOUN
ajst-19139	33	32	1	1	NUM
ajst-19139	33	33	)	)	PUNCT
ajst-19139	33	34	.	.	PUNCT
ajst-19139	34	1	the	the	DET
ajst-19139	34	2	first	first	ADJ
ajst-19139	34	3	attempt	attempt	NOUN
ajst-19139	34	4	was	be	AUX
ajst-19139	34	5	to	to	PART
ajst-19139	34	6	determine	determine	VERB
ajst-19139	34	7	whether	whether	SCONJ
ajst-19139	34	8	mathematical	mathematical	ADJ
ajst-19139	34	9	descriptions	description	NOUN
ajst-19139	34	10	of	of	ADP
ajst-19139	34	11	t	t	PROPN
ajst-19139	34	12	cell	cell	NOUN
ajst-19139	34	13	regulatory	regulatory	ADJ
ajst-19139	34	14	control	control	NOUN
ajst-19139	34	15	could	could	AUX
ajst-19139	34	16	quantitatively	quantitatively	ADV
ajst-19139	34	17	capture	capture	VERB
ajst-19139	34	18	car	car	NOUN
ajst-19139	34	19	-	-	PUNCT
ajst-19139	34	20	t	t	NOUN
ajst-19139	34	21	pharmacokinetics	pharmacokinetic	NOUN
ajst-19139	34	22	and	and	CCONJ
ajst-19139	34	23	tumor	tumor	NOUN
ajst-19139	34	24	dynamics	dynamic	NOUN
ajst-19139	34	25	profiles	profile	NOUN
ajst-19139	34	26	,	,	PUNCT
ajst-19139	34	27	and	and	CCONJ
ajst-19139	34	28	whether	whether	SCONJ
ajst-19139	34	29	parameter	parameter	NOUN
ajst-19139	34	30	estimates	estimate	NOUN
ajst-19139	34	31	revealed	reveal	VERB
ajst-19139	34	32	the	the	DET
ajst-19139	34	33	biological	biological	ADJ
ajst-19139	34	34	basis	basis	NOUN
ajst-19139	34	35	of	of	ADP
ajst-19139	34	36	clinical	clinical	ADJ
ajst-19139	34	37	variability	variability	NOUN
ajst-19139	34	38	.	.	PUNCT
ajst-19139	35	1	fraietta	fraietta	PROPN
ajst-19139	35	2	et	et	PROPN
ajst-19139	35	3	al	al	PROPN
ajst-19139	35	4	.	.	PROPN
ajst-19139	35	5	18	18	NUM
ajst-19139	36	1	[	[	SYM
ajst-19139	36	2	15]report	15]report	NUM
ajst-19139	36	3	average	average	ADJ
ajst-19139	36	4	pharmacokinetics	pharmacokinetic	NOUN
ajst-19139	36	5	and	and	CCONJ
ajst-19139	36	6	tumor	tumor	NOUN
ajst-19139	36	7	dynamics	dynamic	NOUN
ajst-19139	36	8	profiles	profile	NOUN
ajst-19139	36	9	of	of	ADP
ajst-19139	36	10	patients	patient	NOUN
ajst-19139	36	11	with	with	ADP
ajst-19139	36	12	chronic	chronic	ADJ
ajst-19139	36	13	lymphoma	lymphoma	NOUN
ajst-19139	36	14	(	(	PUNCT
ajst-19139	36	15	cll	cll	PROPN
ajst-19139	36	16	)	)	PUNCT
ajst-19139	36	17	treated	treat	VERB
ajst-19139	36	18	with	with	ADP
ajst-19139	36	19	kymriah	kymriah	PROPN
ajst-19139	36	20	(	(	PUNCT
ajst-19139	36	21	ctl019	ctl019	PROPN
ajst-19139	36	22	,	,	PUNCT
ajst-19139	36	23	a	a	DET
ajst-19139	36	24	cd19	cd19	PROPN
ajst-19139	36	25	-	-	PUNCT
ajst-19139	36	26	targeted	target	VERB
ajst-19139	36	27	car	car	NOUN
ajst-19139	36	28	t	t	PROPN
ajst-19139	36	29	)	)	PUNCT
ajst-19139	36	30	,	,	PUNCT
ajst-19139	36	31	divided	divide	VERB
ajst-19139	36	32	by	by	ADP
ajst-19139	36	33	complete	complete	ADJ
ajst-19139	36	34	responders	responder	NOUN
ajst-19139	36	35	(	(	PUNCT
ajst-19139	36	36	cr	cr	NOUN
ajst-19139	36	37	)	)	PUNCT
ajst-19139	36	38	,	,	PUNCT
ajst-19139	36	39	partial	partial	ADJ
ajst-19139	36	40	responders	responder	NOUN
ajst-19139	36	41	(	(	PUNCT
ajst-19139	36	42	pr	pr	NOUN
ajst-19139	36	43	)	)	PUNCT
ajst-19139	36	44	,	,	PUNCT
ajst-19139	36	45	and	and	CCONJ
ajst-19139	36	46	non	non	NOUN
ajst-19139	36	47	-	-	NOUN
ajst-19139	36	48	responders	responder	NOUN
ajst-19139	36	49	(	(	PUNCT
ajst-19139	36	50	nr	nr	NOUN
ajst-19139	36	51	)	)	PUNCT
ajst-19139	36	52	.	.	PUNCT
ajst-19139	37	1	we	we	PRON
ajst-19139	37	2	digitized	digitize	VERB
ajst-19139	37	3	the	the	DET
ajst-19139	37	4	data	datum	NOUN
ajst-19139	37	5	(	(	PUNCT
ajst-19139	37	6	mean	mean	PROPN
ajst-19139	37	7	±s.d	±s.d	PROPN
ajst-19139	37	8	.	.	PUNCT
ajst-19139	37	9	)	)	PUNCT
ajst-19139	37	10	and	and	CCONJ
ajst-19139	37	11	used	use	VERB
ajst-19139	37	12	particle	particle	NOUN
ajst-19139	37	13	swarm	swarm	NOUN
ajst-19139	37	14	optimization	optimization	NOUN
ajst-19139	37	15	(	(	PUNCT
ajst-19139	37	16	pso	pso	NOUN
ajst-19139	37	17	)	)	PUNCT
ajst-19139	37	18	to	to	PART
ajst-19139	37	19	estimate	estimate	VERB
ajst-19139	37	20	the	the	DET
ajst-19139	37	21	model	model	NOUN
ajst-19139	37	22	parameters	parameter	NOUN
ajst-19139	37	23	characterizing	characterize	VERB
ajst-19139	37	24	the	the	DET
ajst-19139	37	25	three	three	NUM
ajst-19139	37	26	population	population	NOUN
ajst-19139	37	27	prototypes	prototype	NOUN
ajst-19139	37	28	(	(	PUNCT
ajst-19139	37	29	figure	figure	NOUN
ajst-19139	37	30	2	2	NUM
ajst-19139	37	31	)	)	PUNCT
ajst-19139	37	32	.	.	PUNCT
ajst-19139	38	1	figure	figure	NOUN
ajst-19139	38	2	2	2	NUM
ajst-19139	38	3	.	.	PUNCT
ajst-19139	38	4	particle	particle	NOUN
ajst-19139	38	5	swarm	swarm	NOUN
ajst-19139	38	6	optimization	optimization	NOUN
ajst-19139	38	7	(	(	PUNCT
ajst-19139	38	8	pso	pso	NOUN
ajst-19139	38	9	)	)	PUNCT
ajst-19139	38	10	parameter	parameter	NOUN
ajst-19139	38	11	model	model	NOUN
ajst-19139	38	12	single	single	ADJ
ajst-19139	38	13	sample	sample	NOUN
ajst-19139	38	14	gene	gene	NOUN
ajst-19139	38	15	set	set	VERB
ajst-19139	38	16	enrichment	enrichment	NOUN
ajst-19139	38	17	analysis	analysis	NOUN
ajst-19139	38	18	(	(	PUNCT
ajst-19139	38	19	ssgsea	ssgsea	NOUN
ajst-19139	38	20	)	)	PUNCT
ajst-19139	38	21	is	be	AUX
ajst-19139	38	22	used	use	VERB
ajst-19139	38	23	to	to	PART
ajst-19139	38	24	examine	examine	VERB
ajst-19139	38	25	the	the	DET
ajst-19139	38	26	distribution	distribution	NOUN
ajst-19139	38	27	of	of	ADP
ajst-19139	38	28	pathway	pathway	NOUN
ajst-19139	38	29	and	and	CCONJ
ajst-19139	38	30	cell	cell	NOUN
ajst-19139	38	31	characteristics	characteristic	NOUN
ajst-19139	38	32	in	in	ADP
ajst-19139	38	33	a	a	DET
ajst-19139	38	34	single	single	ADJ
ajst-19139	38	35	sample	sample	NOUN
ajst-19139	38	36	.	.	PUNCT
ajst-19139	39	1	the	the	DET
ajst-19139	39	2	cr	cr	PROPN
ajst-19139	39	3	population	population	NOUN
ajst-19139	39	4	was	be	AUX
ajst-19139	39	5	significantly	significantly	ADV
ajst-19139	39	6	abundant	abundant	ADJ
ajst-19139	39	7	in	in	ADP
ajst-19139	39	8	the	the	DET
ajst-19139	39	9	"	"	PUNCT
ajst-19139	39	10	non	non	ADJ
ajst-19139	39	11	-	-	ADJ
ajst-19139	39	12	depleted	depleted	ADJ
ajst-19139	39	13	t	t	NOUN
ajst-19139	39	14	cell	cell	NOUN
ajst-19139	39	15	"	"	PUNCT
ajst-19139	39	16	feature	feature	NOUN
ajst-19139	39	17	(	(	PUNCT
ajst-19139	39	18	figure	figure	NOUN
ajst-19139	39	19	1	1	NUM
ajst-19139	39	20	)	)	PUNCT
ajst-19139	39	21	,	,	PUNCT
ajst-19139	39	22	consistent	consistent	ADJ
ajst-19139	39	23	with	with	ADP
ajst-19139	39	24	simulations	simulation	NOUN
ajst-19139	39	25	,	,	PUNCT
ajst-19139	39	26	in	in	ADP
ajst-19139	39	27	which	which	PRON
ajst-19139	39	28	the	the	DET
ajst-19139	39	29	cr	cr	PROPN
ajst-19139	39	30	group	group	PROPN
ajst-19139	39	31	had	have	VERB
ajst-19139	39	32	a	a	DET
ajst-19139	39	33	significantly	significantly	ADV
ajst-19139	39	34	higher	high	ADJ
ajst-19139	39	35	proportion	proportion	NOUN
ajst-19139	39	36	of	of	ADP
ajst-19139	39	37	non	non	ADJ
ajst-19139	39	38	-	-	ADJ
ajst-19139	39	39	depleted	depleted	ADJ
ajst-19139	39	40	cells	cell	NOUN
ajst-19139	39	41	on	on	ADP
ajst-19139	39	42	day	day	NOUN
ajst-19139	39	43	60	60	NUM
ajst-19139	39	44	(	(	PUNCT
ajst-19139	39	45	peak	peak	NOUN
ajst-19139	39	46	anti	anti	ADJ
ajst-19139	39	47	-	-	ADJ
ajst-19139	39	48	tumor	tumor	ADJ
ajst-19139	39	49	effect	effect	NOUN
ajst-19139	39	50	)	)	PUNCT
ajst-19139	39	51	(	(	PUNCT
ajst-19139	39	52	figure	figure	NOUN
ajst-19139	39	53	2	2	NUM
ajst-19139	39	54	)	)	PUNCT
ajst-19139	39	55	,	,	PUNCT
ajst-19139	39	56	while	while	SCONJ
ajst-19139	39	57	the	the	DET
ajst-19139	39	58	cells	cell	NOUN
ajst-19139	39	59	of	of	ADP
ajst-19139	39	60	patients	patient	NOUN
ajst-19139	39	61	with	with	ADP
ajst-19139	39	62	nr	nr	PRON
ajst-19139	39	63	rapidly	rapidly	ADV
ajst-19139	39	64	progressed	progress	VERB
ajst-19139	39	65	to	to	ADP
ajst-19139	39	66	exhaustion	exhaustion	NOUN
ajst-19139	39	67	.	.	PUNCT
ajst-19139	40	1	these	these	DET
ajst-19139	40	2	simulations	simulation	NOUN
ajst-19139	40	3	are	be	AUX
ajst-19139	40	4	also	also	ADV
ajst-19139	40	5	consistent	consistent	ADJ
ajst-19139	40	6	with	with	ADP
ajst-19139	40	7	clinical	clinical	ADJ
ajst-19139	40	8	reports	report	NOUN
ajst-19139	40	9	that	that	SCONJ
ajst-19139	40	10	car	car	NOUN
ajst-19139	40	11	-	-	PUNCT
ajst-19139	40	12	t	t	NOUN
ajst-19139	40	13	products	product	NOUN
ajst-19139	40	14	that	that	PRON
ajst-19139	40	15	fail	fail	VERB
ajst-19139	40	16	to	to	PART
ajst-19139	40	17	expand	expand	VERB
ajst-19139	40	18	in	in	ADP
ajst-19139	40	19	vivo	vivo	NOUN
ajst-19139	40	20	exhibit	exhibit	NOUN
ajst-19139	40	21	enhanced	enhance	VERB
ajst-19139	40	22	expression	expression	NOUN
ajst-19139	40	23	of	of	ADP
ajst-19139	40	24	fatigue	fatigue	NOUN
ajst-19139	40	25	markers	marker	NOUN
ajst-19139	40	26	lag3	lag3	PROPN
ajst-19139	40	27	and	and	CCONJ
ajst-19139	40	28	pd1[16	pd1[16	PROPN
ajst-19139	40	29	-	-	PUNCT
ajst-19139	40	30	18	18	NUM
ajst-19139	40	31	]	]	PUNCT
ajst-19139	40	32	.	.	PUNCT
ajst-19139	41	1	2.2	2.2	NUM
ajst-19139	41	2	.	.	PUNCT
ajst-19139	42	1	pmt	pmt	NOUN
ajst-19139	42	2	training	training	NOUN
ajst-19139	42	3	and	and	CCONJ
ajst-19139	42	4	prediction	prediction	NOUN
ajst-19139	42	5	at	at	ADP
ajst-19139	42	6	present	present	NOUN
ajst-19139	42	7	,	,	PUNCT
ajst-19139	42	8	with	with	ADP
ajst-19139	42	9	the	the	DET
ajst-19139	42	10	development	development	NOUN
ajst-19139	42	11	of	of	ADP
ajst-19139	42	12	genome	genome	NOUN
ajst-19139	42	13	sequencing	sequence	VERB
ajst-19139	42	14	technology	technology	NOUN
ajst-19139	42	15	,	,	PUNCT
ajst-19139	42	16	major	major	ADJ
ajst-19139	42	17	histocompatibility	histocompatibility	NOUN
ajst-19139	42	18	complex	complex	NOUN
ajst-19139	42	19	(	(	PUNCT
ajst-19139	42	20	mhc	mhc	PROPN
ajst-19139	42	21	)	)	PUNCT
ajst-19139	42	22	epitope	epitope	PROPN
ajst-19139	42	23	database	database	NOUN
ajst-19139	42	24	and	and	CCONJ
ajst-19139	42	25	prediction	prediction	NOUN
ajst-19139	42	26	algorithm	algorithm	NOUN
ajst-19139	42	27	,	,	PUNCT
ajst-19139	42	28	it	it	PRON
ajst-19139	42	29	has	have	AUX
ajst-19139	42	30	become	become	VERB
ajst-19139	42	31	possible	possible	ADJ
ajst-19139	42	32	to	to	PART
ajst-19139	42	33	identify	identify	VERB
ajst-19139	42	34	and	and	CCONJ
ajst-19139	42	35	screen	screen	VERB
ajst-19139	42	36	tumor	tumor	NOUN
ajst-19139	42	37	neoantigens	neoantigen	NOUN
ajst-19139	42	38	of	of	ADP
ajst-19139	42	39	individual	individual	ADJ
ajst-19139	42	40	patients	patient	NOUN
ajst-19139	42	41	.	.	PUNCT
ajst-19139	43	1	however	however	ADV
ajst-19139	43	2	,	,	PUNCT
ajst-19139	43	3	the	the	DET
ajst-19139	43	4	complexity	complexity	NOUN
ajst-19139	43	5	of	of	ADP
ajst-19139	43	6	t	t	NOUN
ajst-19139	43	7	cells	cell	NOUN
ajst-19139	43	8	combined	combine	VERB
ajst-19139	43	9	with	with	ADP
ajst-19139	43	10	the	the	DET
ajst-19139	43	11	uncertainty	uncertainty	NOUN
ajst-19139	43	12	of	of	ADP
ajst-19139	43	13	tumor	tumor	NOUN
ajst-19139	43	14	variation	variation	NOUN
ajst-19139	43	15	makes	make	VERB
ajst-19139	43	16	it	it	PRON
ajst-19139	43	17	impossible	impossible	ADJ
ajst-19139	43	18	to	to	PART
ajst-19139	43	19	predict	predict	VERB
ajst-19139	43	20	the	the	DET
ajst-19139	43	21	specific	specific	ADJ
ajst-19139	43	22	binding	binding	NOUN
ajst-19139	43	23	of	of	ADP
ajst-19139	43	24	tumor	tumor	NOUN
ajst-19139	43	25	neoplasm	neoplasm	NOUN
ajst-19139	43	26	antigen	antigen	ADV
ajst-19139	43	27	to	to	ADP
ajst-19139	43	28	t	t	NOUN
ajst-19139	43	29	cells	cell	NOUN
ajst-19139	43	30	,	,	PUNCT
ajst-19139	43	31	which	which	PRON
ajst-19139	43	32	is	be	AUX
ajst-19139	43	33	one	one	NUM
ajst-19139	43	34	of	of	ADP
ajst-19139	43	35	the	the	DET
ajst-19139	43	36	urgent	urgent	ADJ
ajst-19139	43	37	problems	problem	NOUN
ajst-19139	43	38	in	in	ADP
ajst-19139	43	39	modern	modern	ADJ
ajst-19139	43	40	immunology	immunology	NOUN
ajst-19139	43	41	.	.	PUNCT
ajst-19139	44	1	conventional	conventional	ADJ
ajst-19139	44	2	methods	method	NOUN
ajst-19139	44	3	(	(	PUNCT
ajst-19139	44	4	such	such	ADJ
ajst-19139	44	5	as	as	ADP
ajst-19139	44	6	mhc	mhc	PROPN
ajst-19139	44	7	tetramer	tetramer	PROPN
ajst-19139	44	8	assay	assay	VERB
ajst-19139	44	9	and	and	CCONJ
ajst-19139	44	10	tetramer	tetramer	PROPN
ajst-19139	44	11	assay	assay	VERB
ajst-19139	44	12	)	)	PUNCT
ajst-19139	44	13	are	be	AUX
ajst-19139	44	14	technically	technically	ADV
ajst-19139	44	15	demanding	demanding	ADJ
ajst-19139	44	16	,	,	PUNCT
ajst-19139	44	17	time	time	NOUN
ajst-19139	44	18	-	-	PUNCT
ajst-19139	44	19	consuming	consume	VERB
ajst-19139	44	20	and	and	CCONJ
ajst-19139	44	21	costly	costly	ADJ
ajst-19139	44	22	.	.	PUNCT
ajst-19139	45	1	[	[	X
ajst-19139	45	2	19][20]the	19][20]the	DET
ajst-19139	45	3	deep	deep	ADJ
ajst-19139	45	4	learning	learning	NOUN
ajst-19139	45	5	model	model	NOUN
ajst-19139	45	6	pmtnet	pmtnet	NOUN
ajst-19139	45	7	established	establish	VERB
ajst-19139	45	8	by	by	ADP
ajst-19139	45	9	wang	wang	PROPN
ajst-19139	45	10	tao	tao	PROPN
ajst-19139	45	11	's	's	PART
ajst-19139	45	12	research	research	NOUN
ajst-19139	45	13	group	group	NOUN
ajst-19139	45	14	,	,	PUNCT
ajst-19139	45	15	through	through	ADP
ajst-19139	45	16	the	the	DET
ajst-19139	45	17	highspeed	highspeed	NOUN
ajst-19139	45	18	computing	computing	NOUN
ajst-19139	45	19	advantages	advantage	NOUN
ajst-19139	45	20	of	of	ADP
ajst-19139	45	21	artificial	artificial	ADJ
ajst-19139	45	22	intelligence	intelligence	NOUN
ajst-19139	45	23	machine	machine	NOUN
ajst-19139	45	24	learning	learning	NOUN
ajst-19139	45	25	,	,	PUNCT
ajst-19139	45	26	saves	save	VERB
ajst-19139	45	27	researchers	researcher	NOUN
ajst-19139	45	28	cumbersome	cumbersome	ADJ
ajst-19139	45	29	experiment	experiment	NOUN
ajst-19139	45	30	time	time	NOUN
ajst-19139	45	31	and	and	CCONJ
ajst-19139	45	32	expensive	expensive	ADJ
ajst-19139	45	33	experiment	experiment	NOUN
ajst-19139	45	34	costs	cost	NOUN
ajst-19139	45	35	,	,	PUNCT
ajst-19139	45	36	and	and	CCONJ
ajst-19139	45	37	provides	provide	VERB
ajst-19139	45	38	a	a	DET
ajst-19139	45	39	platform	platform	NOUN
ajst-19139	45	40	prediction	prediction	NOUN
ajst-19139	45	41	method	method	NOUN
ajst-19139	45	42	.	.	PUNCT
ajst-19139	46	1	figure	figure	NOUN
ajst-19139	46	2	3	3	NUM
ajst-19139	46	3	.	.	PUNCT
ajst-19139	46	4	final	final	ADJ
ajst-19139	46	5	structure	structure	NOUN
ajst-19139	46	6	of	of	ADP
ajst-19139	46	7	the	the	DET
ajst-19139	46	8	pmtnet	pmtnet	NOUN
ajst-19139	46	9	model	model	NOUN
ajst-19139	46	10	the	the	DET
ajst-19139	46	11	training	training	NOUN
ajst-19139	46	12	and	and	CCONJ
ajst-19139	46	13	prediction	prediction	NOUN
ajst-19139	46	14	of	of	ADP
ajst-19139	46	15	pmt	pmt	PROPN
ajst-19139	46	16	is	be	AUX
ajst-19139	46	17	based	base	VERB
ajst-19139	46	18	on	on	ADP
ajst-19139	46	19	three	three	NUM
ajst-19139	46	20	main	main	ADJ
ajst-19139	46	21	data	datum	NOUN
ajst-19139	46	22	points	point	NOUN
ajst-19139	46	23	:	:	PUNCT
ajst-19139	46	24	the	the	DET
ajst-19139	46	25	antigen	antigen	ADJ
ajst-19139	46	26	sequence	sequence	NOUN
ajst-19139	46	27	of	of	ADP
ajst-19139	46	28	t	t	PROPN
ajst-19139	46	29	-	-	PUNCT
ajst-19139	46	30	cell	cell	NOUN
ajst-19139	46	31	-	-	PUNCT
ajst-19139	46	32	tumor	tumor	NOUN
ajst-19139	46	33	cell	cell	NOUN
ajst-19139	46	34	binding	bind	VERB
ajst-19139	46	35	,	,	PUNCT
ajst-19139	46	36	the	the	DET
ajst-19139	46	37	sequence	sequence	NOUN
ajst-19139	46	38	of	of	ADP
ajst-19139	46	39	the	the	DET
ajst-19139	46	40	major	major	ADJ
ajst-19139	46	41	tissue	tissue	NOUN
ajst-19139	46	42	-	-	PUNCT
ajst-19139	46	43	compatible	compatible	ADJ
ajst-19139	46	44	complex	complex	NOUN
ajst-19139	46	45	(	(	PUNCT
ajst-19139	46	46	mhc	mhc	PROPN
ajst-19139	46	47	)	)	PUNCT
ajst-19139	46	48	,	,	PUNCT
ajst-19139	46	49	and	and	CCONJ
ajst-19139	46	50	the	the	DET
ajst-19139	46	51	sequence	sequence	NOUN
ajst-19139	46	52	of	of	ADP
ajst-19139	46	53	the	the	DET
ajst-19139	46	54	t	t	NOUN
ajst-19139	46	55	-	-	PUNCT
ajst-19139	46	56	cell	cell	NOUN
ajst-19139	46	57	receptor	receptor	NOUN
ajst-19139	46	58	.	.	PUNCT
ajst-19139	47	1	through	through	ADP
ajst-19139	47	2	transferlearning	transferlearne	VERB
ajst-19139	47	3	,	,	PUNCT
ajst-19139	47	4	pmtnet	pmtnet	NOUN
ajst-19139	47	5	completes	complete	VERB
ajst-19139	47	6	the	the	DET
ajst-19139	47	7	training	training	NOUN
ajst-19139	47	8	of	of	ADP
ajst-19139	47	9	deep	deep	ADJ
ajst-19139	47	10	learning	learning	NOUN
ajst-19139	47	11	models	model	NOUN
ajst-19139	47	12	.	.	PUNCT
ajst-19139	48	1	pmt	pmt	PROPN
ajst-19139	48	2	is	be	AUX
ajst-19139	48	3	a	a	DET
ajst-19139	48	4	microrna	microrna	PROPN
ajst-19139	48	5	that	that	PRON
ajst-19139	48	6	is	be	AUX
ajst-19139	48	7	hypothesized	hypothesize	VERB
ajst-19139	48	8	to	to	PART
ajst-19139	48	9	play	play	VERB
ajst-19139	48	10	an	an	DET
ajst-19139	48	11	important	important	ADJ
ajst-19139	48	12	role	role	NOUN
ajst-19139	48	13	in	in	ADP
ajst-19139	48	14	the	the	DET
ajst-19139	48	15	nervous	nervous	ADJ
ajst-19139	48	16	system	system	NOUN
ajst-19139	48	17	.	.	PUNCT
ajst-19139	49	1	the	the	DET
ajst-19139	49	2	training	training	NOUN
ajst-19139	49	3	and	and	CCONJ
ajst-19139	49	4	prediction	prediction	NOUN
ajst-19139	49	5	of	of	ADP
ajst-19139	49	6	pmt	pmt	PROPN
ajst-19139	49	7	is	be	AUX
ajst-19139	49	8	important	important	ADJ
ajst-19139	49	9	for	for	ADP
ajst-19139	49	10	the	the	DET
ajst-19139	49	11	prediction	prediction	NOUN
ajst-19139	49	12	of	of	ADP
ajst-19139	49	13	biological	biological	ADJ
ajst-19139	49	14	cells	cell	NOUN
ajst-19139	49	15	for	for	ADP
ajst-19139	49	16	the	the	DET
ajst-19139	49	17	following	follow	VERB
ajst-19139	49	18	reasons	reason	NOUN
ajst-19139	49	19	:	:	PUNCT
ajst-19139	49	20	1	1	X
ajst-19139	49	21	.	.	X
ajst-19139	49	22	understanding	understand	VERB
ajst-19139	49	23	cellular	cellular	ADJ
ajst-19139	49	24	regulatory	regulatory	ADJ
ajst-19139	49	25	mechanisms	mechanism	NOUN
ajst-19139	49	26	:	:	PUNCT
ajst-19139	50	1	[	[	X
ajst-19139	50	2	21]pmt	21]pmt	PROPN
ajst-19139	50	3	may	may	AUX
ajst-19139	50	4	be	be	AUX
ajst-19139	50	5	involved	involve	VERB
ajst-19139	50	6	in	in	ADP
ajst-19139	50	7	regulating	regulate	VERB
ajst-19139	50	8	gene	gene	NOUN
ajst-19139	50	9	expression	expression	NOUN
ajst-19139	50	10	of	of	ADP
ajst-19139	50	11	cells	cell	NOUN
ajst-19139	50	12	,	,	PUNCT
ajst-19139	50	13	affecting	affect	VERB
ajst-19139	50	14	physiological	physiological	ADJ
ajst-19139	50	15	functions	function	NOUN
ajst-19139	50	16	and	and	CCONJ
ajst-19139	50	17	metabolic	metabolic	NOUN
ajst-19139	50	18	processes	process	NOUN
ajst-19139	50	19	of	of	ADP
ajst-19139	50	20	cells	cell	NOUN
ajst-19139	50	21	.	.	PUNCT
ajst-19139	51	1	through	through	ADP
ajst-19139	51	2	the	the	DET
ajst-19139	51	3	training	training	NOUN
ajst-19139	51	4	and	and	CCONJ
ajst-19139	51	5	prediction	prediction	NOUN
ajst-19139	51	6	of	of	ADP
ajst-19139	51	7	pmt	pmt	PROPN
ajst-19139	51	8	,	,	PUNCT
ajst-19139	51	9	we	we	PRON
ajst-19139	51	10	can	can	AUX
ajst-19139	51	11	better	well	ADV
ajst-19139	51	12	understand	understand	VERB
ajst-19139	51	13	the	the	DET
ajst-19139	51	14	mechanism	mechanism	NOUN
ajst-19139	51	15	of	of	ADP
ajst-19139	51	16	cell	cell	NOUN
ajst-19139	51	17	regulation	regulation	NOUN
ajst-19139	51	18	and	and	CCONJ
ajst-19139	51	19	reveal	reveal	VERB
ajst-19139	51	20	the	the	DET
ajst-19139	51	21	complex	complex	ADJ
ajst-19139	51	22	signal	signal	NOUN
ajst-19139	51	23	transduction	transduction	NOUN
ajst-19139	51	24	network	network	NOUN
ajst-19139	51	25	inside	inside	ADP
ajst-19139	51	26	the	the	DET
ajst-19139	51	27	cell	cell	NOUN
ajst-19139	51	28	.	.	PUNCT
ajst-19139	52	1	2	2	X
ajst-19139	52	2	.	.	X
ajst-19139	52	3	diagnose	diagnose	NOUN
ajst-19139	52	4	and	and	CCONJ
ajst-19139	52	5	treat	treat	VERB
ajst-19139	52	6	diseases	disease	NOUN
ajst-19139	52	7	:	:	PUNCT
ajst-19139	52	8	many	many	ADJ
ajst-19139	52	9	diseases	disease	NOUN
ajst-19139	52	10	,	,	PUNCT
ajst-19139	52	11	such	such	ADJ
ajst-19139	52	12	as	as	ADP
ajst-19139	52	13	cancer	cancer	NOUN
ajst-19139	52	14	and	and	CCONJ
ajst-19139	52	15	neurodegenerative	neurodegenerative	ADJ
ajst-19139	52	16	diseases	disease	NOUN
ajst-19139	52	17	,	,	PUNCT
ajst-19139	52	18	are	be	AUX
ajst-19139	52	19	closely	closely	ADV
ajst-19139	52	20	related	relate	VERB
ajst-19139	52	21	to	to	ADP
ajst-19139	52	22	abnormalities	abnormality	NOUN
ajst-19139	52	23	in	in	ADP
ajst-19139	52	24	intracellular	intracellular	ADJ
ajst-19139	52	25	signaling	signaling	NOUN
ajst-19139	52	26	.	.	PUNCT
ajst-19139	53	1	by	by	ADP
ajst-19139	53	2	analyzing	analyze	VERB
ajst-19139	53	3	the	the	DET
ajst-19139	53	4	role	role	NOUN
ajst-19139	53	5	of	of	ADP
ajst-19139	53	6	pmt	pmt	PROPN
ajst-19139	53	7	in	in	ADP
ajst-19139	53	8	the	the	DET
ajst-19139	53	9	occurrence	occurrence	NOUN
ajst-19139	53	10	and	and	CCONJ
ajst-19139	53	11	development	development	NOUN
ajst-19139	53	12	of	of	ADP
ajst-19139	53	13	diseases	disease	NOUN
ajst-19139	53	14	,	,	PUNCT
ajst-19139	53	15	we	we	PRON
ajst-19139	53	16	can	can	AUX
ajst-19139	53	17	provide	provide	VERB
ajst-19139	53	18	new	new	ADJ
ajst-19139	53	19	targets	target	NOUN
ajst-19139	53	20	and	and	CCONJ
ajst-19139	53	21	strategies	strategy	NOUN
ajst-19139	53	22	for	for	ADP
ajst-19139	53	23	the	the	DET
ajst-19139	53	24	diagnosis	diagnosis	NOUN
ajst-19139	53	25	and	and	CCONJ
ajst-19139	53	26	treatment	treatment	NOUN
ajst-19139	53	27	of	of	ADP
ajst-19139	53	28	related	related	ADJ
ajst-19139	53	29	diseases	disease	NOUN
ajst-19139	53	30	.	.	PUNCT
ajst-19139	54	1	3	3	X
ajst-19139	54	2	.	.	X
ajst-19139	54	3	frontier	frontier	NOUN
ajst-19139	54	4	of	of	ADP
ajst-19139	54	5	biomedical	biomedical	ADJ
ajst-19139	54	6	research	research	NOUN
ajst-19139	54	7	:	:	PUNCT
ajst-19139	54	8	pmt	pmt	PROPN
ajst-19139	54	9	,	,	PUNCT
ajst-19139	54	10	as	as	ADP
ajst-19139	54	11	a	a	DET
ajst-19139	54	12	new	new	ADJ
ajst-19139	54	13	type	type	NOUN
ajst-19139	54	14	of	of	ADP
ajst-19139	54	15	regulatory	regulatory	ADJ
ajst-19139	54	16	factor	factor	NOUN
ajst-19139	54	17	,	,	PUNCT
ajst-19139	54	18	is	be	AUX
ajst-19139	54	19	still	still	ADV
ajst-19139	54	20	in	in	ADP
ajst-19139	54	21	its	its	PRON
ajst-19139	54	22	infancy	infancy	NOUN
ajst-19139	54	23	in	in	ADP
ajst-19139	54	24	the	the	DET
ajst-19139	54	25	field	field	NOUN
ajst-19139	54	26	of	of	ADP
ajst-19139	54	27	cell	cell	NOUN
ajst-19139	54	28	25	25	NUM
ajst-19139	54	29	biology	biology	NOUN
ajst-19139	54	30	and	and	CCONJ
ajst-19139	54	31	neuroscience	neuroscience	NOUN
ajst-19139	54	32	.	.	PUNCT
ajst-19139	55	1	the	the	DET
ajst-19139	55	2	training	training	NOUN
ajst-19139	55	3	and	and	CCONJ
ajst-19139	55	4	prediction	prediction	NOUN
ajst-19139	55	5	of	of	ADP
ajst-19139	55	6	pmt	pmt	PROPN
ajst-19139	55	7	help	help	NOUN
ajst-19139	55	8	to	to	PART
ajst-19139	55	9	promote	promote	VERB
ajst-19139	55	10	cutting	cutting	NOUN
ajst-19139	55	11	-	-	PUNCT
ajst-19139	55	12	edge	edge	NOUN
ajst-19139	55	13	research	research	NOUN
ajst-19139	55	14	in	in	ADP
ajst-19139	55	15	this	this	DET
ajst-19139	55	16	field	field	NOUN
ajst-19139	55	17	and	and	CCONJ
ajst-19139	55	18	provide	provide	VERB
ajst-19139	55	19	new	new	ADJ
ajst-19139	55	20	ideas	idea	NOUN
ajst-19139	55	21	and	and	CCONJ
ajst-19139	55	22	approaches	approach	NOUN
ajst-19139	55	23	for	for	ADP
ajst-19139	55	24	the	the	DET
ajst-19139	55	25	development	development	NOUN
ajst-19139	55	26	of	of	ADP
ajst-19139	55	27	new	new	ADJ
ajst-19139	55	28	drugs	drug	NOUN
ajst-19139	55	29	and	and	CCONJ
ajst-19139	55	30	the	the	DET
ajst-19139	55	31	discovery	discovery	NOUN
ajst-19139	55	32	of	of	ADP
ajst-19139	55	33	therapeutic	therapeutic	ADJ
ajst-19139	55	34	methods	method	NOUN
ajst-19139	55	35	.	.	PUNCT
ajst-19139	56	1	4	4	X
ajst-19139	56	2	.	.	X
ajst-19139	56	3	personalized	personalize	VERB
ajst-19139	56	4	medicine	medicine	NOUN
ajst-19139	56	5	:	:	PUNCT
ajst-19139	57	1	[	[	X
ajst-19139	57	2	22	22	NUM
ajst-19139	57	3	-	-	SYM
ajst-19139	57	4	23]by	23]by	NUM
ajst-19139	57	5	analyzing	analyze	VERB
ajst-19139	57	6	the	the	DET
ajst-19139	57	7	expression	expression	NOUN
ajst-19139	57	8	and	and	CCONJ
ajst-19139	57	9	regulation	regulation	NOUN
ajst-19139	57	10	of	of	ADP
ajst-19139	57	11	pmt	pmt	PROPN
ajst-19139	57	12	in	in	ADP
ajst-19139	57	13	individual	individual	ADJ
ajst-19139	57	14	cells	cell	NOUN
ajst-19139	57	15	,	,	PUNCT
ajst-19139	57	16	important	important	ADJ
ajst-19139	57	17	information	information	NOUN
ajst-19139	57	18	can	can	AUX
ajst-19139	57	19	be	be	AUX
ajst-19139	57	20	provided	provide	VERB
ajst-19139	57	21	for	for	ADP
ajst-19139	57	22	personalized	personalized	ADJ
ajst-19139	57	23	medicine	medicine	NOUN
ajst-19139	57	24	.	.	PUNCT
ajst-19139	58	1	training	training	NOUN
ajst-19139	58	2	and	and	CCONJ
ajst-19139	58	3	prediction	prediction	NOUN
ajst-19139	58	4	based	base	VERB
ajst-19139	58	5	on	on	ADP
ajst-19139	58	6	pmt	pmt	PROPN
ajst-19139	58	7	can	can	AUX
ajst-19139	58	8	achieve	achieve	VERB
ajst-19139	58	9	accurate	accurate	ADJ
ajst-19139	58	10	diagnosis	diagnosis	NOUN
ajst-19139	58	11	and	and	CCONJ
ajst-19139	58	12	treatment	treatment	NOUN
ajst-19139	58	13	for	for	ADP
ajst-19139	58	14	individuals	individual	NOUN
ajst-19139	58	15	and	and	CCONJ
ajst-19139	58	16	improve	improve	VERB
ajst-19139	58	17	medical	medical	ADJ
ajst-19139	58	18	outcomes	outcome	NOUN
ajst-19139	58	19	and	and	CCONJ
ajst-19139	58	20	prognosis	prognosis	NOUN
ajst-19139	58	21	.	.	PUNCT
ajst-19139	59	1	3	3	X
ajst-19139	59	2	.	.	X
ajst-19139	59	3	methodology	methodology	NOUN
ajst-19139	59	4	in	in	ADP
ajst-19139	59	5	order	order	NOUN
ajst-19139	59	6	to	to	PART
ajst-19139	59	7	deepen	deepen	VERB
ajst-19139	59	8	the	the	DET
ajst-19139	59	9	important	important	ADJ
ajst-19139	59	10	advantages	advantage	NOUN
ajst-19139	59	11	of	of	ADP
ajst-19139	59	12	artificial	artificial	ADJ
ajst-19139	59	13	intelligence	intelligence	NOUN
ajst-19139	59	14	in	in	ADP
ajst-19139	59	15	biomedical	biomedical	ADJ
ajst-19139	59	16	detection	detection	NOUN
ajst-19139	59	17	and	and	CCONJ
ajst-19139	59	18	cell	cell	NOUN
ajst-19139	59	19	prediction	prediction	NOUN
ajst-19139	59	20	,	,	PUNCT
ajst-19139	59	21	our	our	PRON
ajst-19139	59	22	understanding	understanding	NOUN
ajst-19139	59	23	of	of	ADP
ajst-19139	59	24	the	the	DET
ajst-19139	59	25	mechanism	mechanism	NOUN
ajst-19139	59	26	of	of	ADP
ajst-19139	59	27	disease	disease	NOUN
ajst-19139	59	28	provides	provide	VERB
ajst-19139	59	29	a	a	DET
ajst-19139	59	30	way	way	NOUN
ajst-19139	59	31	to	to	PART
ajst-19139	59	32	accelerate	accelerate	VERB
ajst-19139	59	33	the	the	DET
ajst-19139	59	34	development	development	NOUN
ajst-19139	59	35	of	of	ADP
ajst-19139	59	36	safer	safe	ADJ
ajst-19139	59	37	and	and	CCONJ
ajst-19139	59	38	personalized	personalized	ADJ
ajst-19139	59	39	vaccines	vaccine	NOUN
ajst-19139	59	40	and	and	CCONJ
ajst-19139	59	41	therapies	therapy	NOUN
ajst-19139	59	42	,	,	PUNCT
ajst-19139	59	43	construct	construct	VERB
ajst-19139	59	44	a	a	DET
ajst-19139	59	45	complete	complete	ADJ
ajst-19139	59	46	map	map	NOUN
ajst-19139	59	47	of	of	ADP
ajst-19139	59	48	tcr	tcr	PROPN
ajst-19139	59	49	-	-	PUNCT
ajst-19139	59	50	antigen	antigen	PROPN
ajst-19139	59	51	interaction	interaction	NOUN
ajst-19139	59	52	as	as	ADP
ajst-19139	59	53	an	an	DET
ajst-19139	59	54	experimental	experimental	ADJ
ajst-19139	59	55	source	source	NOUN
ajst-19139	59	56	,	,	PUNCT
ajst-19139	59	57	and	and	CCONJ
ajst-19139	59	58	explore	explore	VERB
ajst-19139	59	59	the	the	DET
ajst-19139	59	60	core	core	NOUN
ajst-19139	59	61	content	content	NOUN
ajst-19139	59	62	of	of	ADP
ajst-19139	59	63	why	why	SCONJ
ajst-19139	59	64	tcr	tcr	PROPN
ajst-19139	59	65	binding	bind	VERB
ajst-19139	59	66	specificity	specificity	NOUN
ajst-19139	59	67	is	be	AUX
ajst-19139	59	68	universal	universal	ADJ
ajst-19139	59	69	prediction	prediction	NOUN
ajst-19139	59	70	.	.	PUNCT
ajst-19139	60	1	3.1	3.1	NUM
ajst-19139	60	2	.	.	PUNCT
ajst-19139	60	3	experimental	experimental	ADJ
ajst-19139	60	4	method	method	NOUN
ajst-19139	60	5	antigen	antigen	PROPN
ajst-19139	60	6	-	-	PUNCT
ajst-19139	60	7	mhc	mhc	NOUN
ajst-19139	60	8	polymers	polymer	NOUN
ajst-19139	60	9	can	can	AUX
ajst-19139	60	10	be	be	AUX
ajst-19139	60	11	used	use	VERB
ajst-19139	60	12	to	to	PART
ajst-19139	60	13	determine	determine	VERB
ajst-19139	60	14	tcr	tcr	PROPN
ajst-19139	60	15	specificity	specificity	NOUN
ajst-19139	60	16	using	use	VERB
ajst-19139	60	17	large	large	ADJ
ajst-19139	60	18	(	(	PUNCT
ajst-19139	60	19	combined	combined	ADJ
ajst-19139	60	20	)	)	PUNCT
ajst-19139	60	21	t	t	NOUN
ajst-19139	60	22	cell	cell	NOUN
ajst-19139	60	23	populations	population	NOUN
ajst-19139	60	24	or	or	CCONJ
ajst-19139	60	25	newer	new	ADJ
ajst-19139	60	26	single	single	ADJ
ajst-19139	60	27	-	-	PUNCT
ajst-19139	60	28	cell	cell	NOUN
ajst-19139	60	29	methods	method	NOUN
ajst-19139	60	30	.	.	PUNCT
ajst-19139	61	1	most	most	ADJ
ajst-19139	61	2	methods	method	NOUN
ajst-19139	61	3	are	be	AUX
ajst-19139	61	4	widely	widely	ADV
ajst-19139	61	5	used	use	VERB
ajst-19139	61	6	and	and	CCONJ
ajst-19139	61	7	relatively	relatively	ADV
ajst-19139	61	8	inexpensive	inexpensive	ADJ
ajst-19139	61	9	,	,	PUNCT
ajst-19139	61	10	but	but	CCONJ
ajst-19139	61	11	do	do	AUX
ajst-19139	61	12	not	not	PART
ajst-19139	61	13	provide	provide	VERB
ajst-19139	61	14	information	information	NOUN
ajst-19139	61	15	about	about	ADP
ajst-19139	61	16	αβtcr	αβtcr	PROPN
ajst-19139	61	17	chain	chain	PROPN
ajst-19139	61	18	pairing	pairing	NOUN
ajst-19139	61	19	or	or	CCONJ
ajst-19139	61	20	function	function	NOUN
ajst-19139	61	21	.	.	PUNCT
ajst-19139	62	1	[	[	X
ajst-19139	62	2	24]as	24]as	ADP
ajst-19139	62	3	a	a	DET
ajst-19139	62	4	result	result	NOUN
ajst-19139	62	5	,	,	PUNCT
ajst-19139	62	6	singlestrand	singlestrand	PROPN
ajst-19139	62	7	tcr	tcr	PROPN
ajst-19139	62	8	sequences	sequence	NOUN
ajst-19139	62	9	dominate	dominate	VERB
ajst-19139	62	10	public	public	ADJ
ajst-19139	62	11	datasets	dataset	NOUN
ajst-19139	62	12	.	.	PUNCT
ajst-19139	63	1	however	however	ADV
ajst-19139	63	2	,	,	PUNCT
ajst-19139	63	3	both	both	CCONJ
ajst-19139	63	4	the	the	DET
ajst-19139	63	5	alpha	alpha	NOUN
ajst-19139	63	6	and	and	CCONJ
ajst-19139	63	7	beta	beta	NOUN
ajst-19139	63	8	chains	chain	NOUN
ajst-19139	63	9	contribute	contribute	VERB
ajst-19139	63	10	to	to	ADP
ajst-19139	63	11	antigen	antigen	ADJ
ajst-19139	63	12	recognition	recognition	NOUN
ajst-19139	63	13	and	and	CCONJ
ajst-19139	63	14	specificity	specificity	NOUN
ajst-19139	63	15	.	.	PUNCT
ajst-19139	64	1	multimodal	multimodal	ADJ
ajst-19139	64	2	single	single	ADJ
ajst-19139	64	3	-	-	PUNCT
ajst-19139	64	4	cell	cell	NOUN
ajst-19139	64	5	techniques	technique	NOUN
ajst-19139	64	6	provide	provide	VERB
ajst-19139	64	7	insights	insight	NOUN
ajst-19139	64	8	into	into	ADP
ajst-19139	64	9	chain	chain	NOUN
ajst-19139	64	10	pairing	pairing	NOUN
ajst-19139	64	11	,	,	PUNCT
ajst-19139	64	12	transcriptome	transcriptome	NOUN
ajst-19139	64	13	,	,	PUNCT
ajst-19139	64	14	and	and	CCONJ
ajst-19139	64	15	phenotypic	phenotypic	ADJ
ajst-19139	64	16	characteristics	characteristic	NOUN
ajst-19139	64	17	at	at	ADP
ajst-19139	64	18	cellular	cellular	ADJ
ajst-19139	64	19	resolution	resolution	NOUN
ajst-19139	64	20	,	,	PUNCT
ajst-19139	64	21	but	but	CCONJ
ajst-19139	64	22	are	be	AUX
ajst-19139	64	23	still	still	ADV
ajst-19139	64	24	very	very	ADV
ajst-19139	64	25	expensive	expensive	ADJ
ajst-19139	64	26	,	,	PUNCT
ajst-19139	64	27	return	return	VERB
ajst-19139	64	28	fewer	few	ADJ
ajst-19139	64	29	tcr	tcr	PROPN
ajst-19139	64	30	sequences	sequence	NOUN
ajst-19139	64	31	per	per	ADP
ajst-19139	64	32	run	run	NOUN
ajst-19139	64	33	compared	compare	VERB
ajst-19139	64	34	to	to	PART
ajst-19139	64	35	batch	batch	VERB
ajst-19139	64	36	experiments	experiment	NOUN
ajst-19139	64	37	,	,	PUNCT
ajst-19139	64	38	and	and	CCONJ
ajst-19139	64	39	show	show	VERB
ajst-19139	64	40	a	a	DET
ajst-19139	64	41	significant	significant	ADJ
ajst-19139	64	42	bias	bias	NOUN
ajst-19139	64	43	against	against	ADP
ajst-19139	64	44	highly	highly	ADV
ajst-19139	64	45	specific	specific	ADJ
ajst-19139	64	46	tcrs.[25	tcrs.[25	NOUN
ajst-19139	64	47	]	]	X
ajst-19139	64	48	appropriate	appropriate	ADJ
ajst-19139	64	49	experimental	experimental	ADJ
ajst-19139	64	50	protocols	protocol	NOUN
ajst-19139	64	51	for	for	ADP
ajst-19139	64	52	reducing	reduce	VERB
ajst-19139	64	53	the	the	DET
ajst-19139	64	54	binding	binding	NOUN
ajst-19139	64	55	of	of	ADP
ajst-19139	64	56	nonspecific	nonspecific	ADJ
ajst-19139	64	57	polymers	polymer	NOUN
ajst-19139	64	58	,	,	PUNCT
ajst-19139	64	59	verification	verification	NOUN
ajst-19139	64	60	of	of	ADP
ajst-19139	64	61	correct	correct	ADJ
ajst-19139	64	62	folding	folding	NOUN
ajst-19139	64	63	,	,	PUNCT
ajst-19139	64	64	and	and	CCONJ
ajst-19139	64	65	computational	computational	ADJ
ajst-19139	64	66	improvements	improvement	NOUN
ajst-19139	64	67	in	in	ADP
ajst-19139	64	68	the	the	DET
ajst-19139	64	69	signal	signal	NOUN
ajst-19139	64	70	-	-	PUNCT
ajst-19139	64	71	to	to	ADP
ajst-19139	64	72	-	-	PUNCT
ajst-19139	64	73	noise	noise	NOUN
ajst-19139	64	74	ratio	ratio	NOUN
ajst-19139	64	75	remain	remain	VERB
ajst-19139	64	76	areas	area	NOUN
ajst-19139	64	77	of	of	ADP
ajst-19139	64	78	active	active	ADJ
ajst-19139	64	79	debate	debate	NOUN
ajst-19139	64	80	.	.	PUNCT
ajst-19139	65	1	due	due	ADP
ajst-19139	65	2	to	to	ADP
ajst-19139	65	3	these	these	DET
ajst-19139	65	4	scalability	scalability	NOUN
ajst-19139	65	5	barriers	barrier	NOUN
ajst-19139	65	6	,	,	PUNCT
ajst-19139	65	7	only	only	ADV
ajst-19139	65	8	a	a	DET
ajst-19139	65	9	small	small	ADJ
ajst-19139	65	10	fraction	fraction	NOUN
ajst-19139	65	11	of	of	ADP
ajst-19139	65	12	the	the	DET
ajst-19139	65	13	total	total	ADJ
ajst-19139	65	14	sample	sample	NOUN
ajst-19139	65	15	space	space	NOUN
ajst-19139	65	16	of	of	ADP
ajst-19139	65	17	tcr	tcr	PROPN
ajst-19139	65	18	antigen	antigen	NOUN
ajst-19139	65	19	pairs	pair	NOUN
ajst-19139	65	20	has	have	AUX
ajst-19139	65	21	been	be	AUX
ajst-19139	65	22	experimentally	experimentally	ADV
ajst-19139	65	23	validated	validate	VERB
ajst-19139	65	24	.	.	PUNCT
ajst-19139	66	1	fewer	few	ADJ
ajst-19139	66	2	than	than	ADP
ajst-19139	66	3	1	1	NUM
ajst-19139	66	4	million	million	NUM
ajst-19139	66	5	unique	unique	ADJ
ajst-19139	66	6	tcr	tcr	PROPN
ajst-19139	66	7	epitope	epitope	NOUN
ajst-19139	66	8	pairs	pair	NOUN
ajst-19139	66	9	are	be	AUX
ajst-19139	66	10	available	available	ADJ
ajst-19139	66	11	from	from	ADP
ajst-19139	66	12	vdjdb	vdjdb	NOUN
ajst-19139	66	13	,	,	PUNCT
ajst-19139	66	14	mcpastcr	mcpastcr	NOUN
ajst-19139	66	15	,	,	PUNCT
ajst-19139	66	16	immune	immune	ADJ
ajst-19139	66	17	epitope	epitope	NOUN
ajst-19139	66	18	databases	database	NOUN
ajst-19139	66	19	,	,	PUNCT
ajst-19139	66	20	and	and	CCONJ
ajst-19139	66	21	mira	mira	PROPN
ajst-19139	66	22	datasets	dataset	NOUN
ajst-19139	66	23	.	.	PUNCT
ajst-19139	67	1	only	only	ADV
ajst-19139	67	2	4	4	NUM
ajst-19139	67	3	%	%	NOUN
ajst-19139	67	4	of	of	ADP
ajst-19139	67	5	these	these	DET
ajst-19139	67	6	instances	instance	NOUN
ajst-19139	67	7	contained	contain	VERB
ajst-19139	67	8	complete	complete	ADJ
ajst-19139	67	9	chain	chain	NOUN
ajst-19139	67	10	pairing	pair	VERB
ajst-19139	67	11	information	information	NOUN
ajst-19139	67	12	.	.	PUNCT
ajst-19139	68	1	3.2	3.2	NUM
ajst-19139	68	2	.	.	PUNCT
ajst-19139	69	1	function	function	NOUN
ajst-19139	69	2	calculation	calculation	NOUN
ajst-19139	69	3	method	method	NOUN
ajst-19139	69	4	computational	computational	ADJ
ajst-19139	69	5	models	model	NOUN
ajst-19139	69	6	at	at	ADP
ajst-19139	69	7	this	this	DET
ajst-19139	69	8	stage	stage	NOUN
ajst-19139	69	9	can	can	AUX
ajst-19139	69	10	be	be	AUX
ajst-19139	69	11	divided	divide	VERB
ajst-19139	69	12	into	into	ADP
ajst-19139	69	13	two	two	NUM
ajst-19139	69	14	categories	category	NOUN
ajst-19139	69	15	,	,	PUNCT
ajst-19139	69	16	the	the	DET
ajst-19139	69	17	supervised	supervised	ADJ
ajst-19139	69	18	predictive	predictive	ADJ
ajst-19139	69	19	model	model	NOUN
ajst-19139	69	20	(	(	PUNCT
ajst-19139	69	21	spm	spm	PROPN
ajst-19139	69	22	)	)	PUNCT
ajst-19139	69	23	and	and	CCONJ
ajst-19139	69	24	the	the	DET
ajst-19139	69	25	unsupervised	unsupervised	ADJ
ajst-19139	69	26	clustering	clustering	NOUN
ajst-19139	69	27	model	model	NOUN
ajst-19139	69	28	(	(	PUNCT
ajst-19139	69	29	ucm	ucm	PROPN
ajst-19139	69	30	)	)	PUNCT
ajst-19139	69	31	,	,	PUNCT
ajst-19139	69	32	because	because	SCONJ
ajst-19139	69	33	they	they	PRON
ajst-19139	69	34	use	use	VERB
ajst-19139	69	35	supervised	supervised	ADJ
ajst-19139	69	36	and	and	CCONJ
ajst-19139	69	37	unsupervised	unsupervised	ADJ
ajst-19139	69	38	learning	learning	NOUN
ajst-19139	69	39	respectively	respectively	ADV
ajst-19139	69	40	.	.	PUNCT
ajst-19139	70	1	the	the	DET
ajst-19139	70	2	first	first	ADJ
ajst-19139	70	3	is	be	AUX
ajst-19139	70	4	supervised	supervise	VERB
ajst-19139	70	5	prediction	prediction	NOUN
ajst-19139	70	6	models	model	NOUN
ajst-19139	70	7	,	,	PUNCT
ajst-19139	70	8	spms	spm	NOUN
ajst-19139	70	9	are	be	AUX
ajst-19139	70	10	those	those	PRON
ajst-19139	70	11	that	that	PRON
ajst-19139	70	12	try	try	VERB
ajst-19139	70	13	to	to	PART
ajst-19139	70	14	learn	learn	VERB
ajst-19139	70	15	a	a	DET
ajst-19139	70	16	function	function	NOUN
ajst-19139	70	17	that	that	PRON
ajst-19139	70	18	will	will	AUX
ajst-19139	70	19	correctly	correctly	ADV
ajst-19139	70	20	predict	predict	VERB
ajst-19139	70	21	the	the	DET
ajst-19139	70	22	homologous	homologous	ADJ
ajst-19139	70	23	epitopes	epitope	NOUN
ajst-19139	70	24	of	of	ADP
ajst-19139	70	25	a	a	DET
ajst-19139	70	26	given	give	VERB
ajst-19139	70	27	input	input	NOUN
ajst-19139	70	28	tcr	tcr	PROPN
ajst-19139	70	29	with	with	ADP
ajst-19139	70	30	unknown	unknown	ADJ
ajst-19139	70	31	specificity	specificity	NOUN
ajst-19139	70	32	,	,	PUNCT
ajst-19139	70	33	given	give	VERB
ajst-19139	70	34	some	some	DET
ajst-19139	70	35	training	training	NOUN
ajst-19139	70	36	data	datum	NOUN
ajst-19139	70	37	set	set	VERB
ajst-19139	70	38	of	of	ADP
ajst-19139	70	39	known	know	VERB
ajst-19139	70	40	tcr	tcr	PROPN
ajst-19139	70	41	-	-	PUNCT
ajst-19139	70	42	peptide	peptide	NOUN
ajst-19139	70	43	pairs	pair	NOUN
ajst-19139	70	44	.	.	PUNCT
ajst-19139	71	1	over	over	ADP
ajst-19139	71	2	the	the	DET
ajst-19139	71	3	past	past	ADJ
ajst-19139	71	4	two	two	NUM
ajst-19139	71	5	years	year	NOUN
ajst-19139	71	6	,	,	PUNCT
ajst-19139	71	7	there	there	PRON
ajst-19139	71	8	has	have	AUX
ajst-19139	71	9	been	be	AUX
ajst-19139	71	10	an	an	DET
ajst-19139	71	11	increase	increase	NOUN
ajst-19139	71	12	in	in	ADP
ajst-19139	71	13	the	the	DET
ajst-19139	71	14	number	number	NOUN
ajst-19139	71	15	of	of	ADP
ajst-19139	71	16	publications	publication	NOUN
ajst-19139	71	17	aimed	aim	VERB
ajst-19139	71	18	at	at	ADP
ajst-19139	71	19	solving	solve	VERB
ajst-19139	71	20	this	this	DET
ajst-19139	71	21	challenge	challenge	NOUN
ajst-19139	71	22	through	through	ADP
ajst-19139	71	23	deep	deep	ADJ
ajst-19139	71	24	neural	neural	ADJ
ajst-19139	71	25	networks	network	NOUN
ajst-19139	71	26	(	(	PUNCT
ajst-19139	71	27	dnns	dnn	NOUN
ajst-19139	71	28	)	)	PUNCT
ajst-19139	71	29	.	.	PUNCT
ajst-19139	72	1	[	[	X
ajst-19139	72	2	26]although	26]although	X
ajst-19139	72	3	there	there	PRON
ajst-19139	72	4	are	be	VERB
ajst-19139	72	5	many	many	ADJ
ajst-19139	72	6	possible	possible	ADJ
ajst-19139	72	7	ways	way	NOUN
ajst-19139	72	8	to	to	PART
ajst-19139	72	9	compare	compare	VERB
ajst-19139	72	10	spm	spm	PROPN
ajst-19139	72	11	performance	performance	NOUN
ajst-19139	72	12	,	,	PUNCT
ajst-19139	72	13	the	the	DET
ajst-19139	72	14	most	most	ADV
ajst-19139	72	15	common	common	ADJ
ajst-19139	72	16	method	method	NOUN
ajst-19139	72	17	is	be	AUX
ajst-19139	72	18	the	the	DET
ajst-19139	72	19	area	area	NOUN
ajst-19139	72	20	under	under	ADP
ajst-19139	72	21	the	the	DET
ajst-19139	72	22	receiver	receiver	NOUN
ajst-19139	72	23	operating	operate	VERB
ajst-19139	72	24	characteristic	characteristic	ADJ
ajst-19139	72	25	curve	curve	NOUN
ajst-19139	72	26	(	(	PUNCT
ajst-19139	72	27	roc	roc	NOUN
ajst-19139	72	28	-	-	PUNCT
ajst-19139	72	29	auc	auc	NOUN
ajst-19139	72	30	)	)	PUNCT
ajst-19139	72	31	.	.	PUNCT
ajst-19139	73	1	assuming	assume	VERB
ajst-19139	73	2	a	a	DET
ajst-19139	73	3	proportional	proportional	ADJ
ajst-19139	73	4	equilibrium	equilibrium	NOUN
ajst-19139	73	5	of	of	ADP
ajst-19139	73	6	negative	negative	ADJ
ajst-19139	73	7	and	and	CCONJ
ajst-19139	73	8	positive	positive	ADJ
ajst-19139	73	9	pairs	pair	NOUN
ajst-19139	73	10	,	,	PUNCT
ajst-19139	73	11	one	one	PRON
ajst-19139	73	12	would	would	AUX
ajst-19139	73	13	expect	expect	VERB
ajst-19139	73	14	50	50	NUM
ajst-19139	73	15	%	%	NOUN
ajst-19139	73	16	roc	roc	NOUN
ajst-19139	73	17	-	-	PUNCT
ajst-19139	73	18	auc	auc	NOUN
ajst-19139	73	19	to	to	PART
ajst-19139	73	20	be	be	AUX
ajst-19139	73	21	observed	observe	VERB
ajst-19139	73	22	from	from	ADP
ajst-19139	73	23	random	random	ADJ
ajst-19139	73	24	guesses	guess	NOUN
ajst-19139	73	25	in	in	ADP
ajst-19139	73	26	binary	binary	NOUN
ajst-19139	73	27	(	(	PUNCT
ajst-19139	73	28	combined	combined	ADJ
ajst-19139	73	29	or	or	CCONJ
ajst-19139	73	30	uncombined	uncombined	ADJ
ajst-19139	73	31	)	)	PUNCT
ajst-19139	73	32	tasks	task	NOUN
ajst-19139	73	33	.	.	PUNCT
ajst-19139	74	1	together	together	ADV
ajst-19139	74	2	,	,	PUNCT
ajst-19139	74	3	these	these	DET
ajst-19139	74	4	results	result	NOUN
ajst-19139	74	5	highlight	highlight	VERB
ajst-19139	74	6	the	the	DET
ajst-19139	74	7	urgent	urgent	ADJ
ajst-19139	74	8	need	need	NOUN
ajst-19139	74	9	for	for	ADP
ajst-19139	74	10	comprehensive	comprehensive	ADJ
ajst-19139	74	11	,	,	PUNCT
ajst-19139	74	12	independent	independent	ADJ
ajst-19139	74	13	benchmarking	benchmarke	VERB
ajst-19139	74	14	studies	study	NOUN
ajst-19139	74	15	of	of	ADP
ajst-19139	74	16	data	datum	NOUN
ajst-19139	74	17	set	set	NOUN
ajst-19139	74	18	models	model	NOUN
ajst-19139	74	19	that	that	PRON
ajst-19139	74	20	are	be	AUX
ajst-19139	74	21	compiled	compile	VERB
ajst-19139	74	22	and	and	CCONJ
ajst-19139	74	23	analyzed	analyze	VERB
ajst-19139	74	24	in	in	ADP
ajst-19139	74	25	a	a	DET
ajst-19139	74	26	consistent	consistent	ADJ
ajst-19139	74	27	manner	manner	NOUN
ajst-19139	74	28	.	.	PUNCT
ajst-19139	75	1	until	until	ADP
ajst-19139	75	2	then	then	ADV
ajst-19139	75	3	,	,	PUNCT
ajst-19139	75	4	newer	new	ADJ
ajst-19139	75	5	models	model	NOUN
ajst-19139	75	6	could	could	AUX
ajst-19139	75	7	reasonably	reasonably	ADV
ajst-19139	75	8	be	be	AUX
ajst-19139	75	9	used	use	VERB
ajst-19139	75	10	to	to	PART
ajst-19139	75	11	predict	predict	VERB
ajst-19139	75	12	the	the	DET
ajst-19139	75	13	binding	binding	NOUN
ajst-19139	75	14	of	of	ADP
ajst-19139	75	15	common	common	ADJ
ajst-19139	75	16	hla	hla	NOUN
ajst-19139	75	17	alleles	allele	NOUN
ajst-19139	75	18	to	to	PART
ajst-19139	75	19	immunodominant	immunodominant	VERB
ajst-19139	75	20	viral	viral	ADJ
ajst-19139	75	21	epitopes	epitope	NOUN
ajst-19139	75	22	.	.	PUNCT
ajst-19139	76	1	however	however	ADV
ajst-19139	76	2	,	,	PUNCT
ajst-19139	76	3	spm	spm	PROPN
ajst-19139	76	4	should	should	AUX
ajst-19139	76	5	be	be	AUX
ajst-19139	76	6	used	use	VERB
ajst-19139	76	7	with	with	ADP
ajst-19139	76	8	caution	caution	NOUN
ajst-19139	76	9	when	when	SCONJ
ajst-19139	76	10	generalizing	generalize	VERB
ajst-19139	76	11	to	to	ADP
ajst-19139	76	12	the	the	DET
ajst-19139	76	13	prediction	prediction	NOUN
ajst-19139	76	14	of	of	ADP
ajst-19139	76	15	any	any	DET
ajst-19139	76	16	epitope	epitope	NOUN
ajst-19139	76	17	,	,	PUNCT
ajst-19139	76	18	as	as	SCONJ
ajst-19139	76	19	performance	performance	NOUN
ajst-19139	76	20	may	may	AUX
ajst-19139	76	21	degrade	degrade	VERB
ajst-19139	76	22	the	the	DET
ajst-19139	76	23	further	further	ADJ
ajst-19139	76	24	an	an	DET
ajst-19139	76	25	epitope	epitope	NOUN
ajst-19139	76	26	is	be	AUX
ajst-19139	76	27	from	from	ADP
ajst-19139	76	28	the	the	DET
ajst-19139	76	29	sequence	sequence	NOUN
ajst-19139	76	30	of	of	ADP
ajst-19139	76	31	epitopes	epitope	NOUN
ajst-19139	76	32	in	in	ADP
ajst-19139	76	33	the	the	DET
ajst-19139	76	34	training	training	NOUN
ajst-19139	76	35	set	set	NOUN
ajst-19139	76	36	.	.	PUNCT
ajst-19139	77	1	3.3	3.3	NUM
ajst-19139	77	2	.	.	PUNCT
ajst-19139	78	1	major	major	ADJ
ajst-19139	78	2	challenges	challenge	NOUN
ajst-19139	78	3	in	in	ADP
ajst-19139	78	4	t	t	PROPN
ajst-19139	78	5	cell	cell	NOUN
ajst-19139	78	6	antigen	antigen	NOUN
ajst-19139	78	7	-	-	PUNCT
ajst-19139	78	8	specific	specific	ADJ
ajst-19139	78	9	prediction	prediction	NOUN
ajst-19139	78	10	of	of	ADP
ajst-19139	78	11	tcr	tcr	PROPN
ajst-19139	78	12	despite	despite	SCONJ
ajst-19139	78	13	the	the	DET
ajst-19139	78	14	exponential	exponential	ADJ
ajst-19139	78	15	growth	growth	NOUN
ajst-19139	78	16	of	of	ADP
ajst-19139	78	17	unlabeled	unlabeled	ADJ
ajst-19139	78	18	immune	immune	ADJ
ajst-19139	78	19	library	library	NOUN
ajst-19139	78	20	data	datum	NOUN
ajst-19139	78	21	and	and	CCONJ
ajst-19139	78	22	recent	recent	ADJ
ajst-19139	78	23	unprecedented	unprecedented	ADJ
ajst-19139	78	24	breakthroughs	breakthrough	NOUN
ajst-19139	78	25	in	in	ADP
ajst-19139	78	26	data	datum	NOUN
ajst-19139	78	27	science	science	NOUN
ajst-19139	78	28	and	and	CCONJ
ajst-19139	78	29	artificial	artificial	ADJ
ajst-19139	78	30	intelligence	intelligence	NOUN
ajst-19139	78	31	,	,	PUNCT
ajst-19139	78	32	quantitative	quantitative	ADJ
ajst-19139	78	33	immunology	immunology	NOUN
ajst-19139	78	34	still	still	ADV
ajst-19139	78	35	lacks	lack	VERB
ajst-19139	78	36	a	a	DET
ajst-19139	78	37	framework	framework	NOUN
ajst-19139	78	38	for	for	ADP
ajst-19139	78	39	systematic	systematic	ADJ
ajst-19139	78	40	and	and	CCONJ
ajst-19139	78	41	universal	universal	ADJ
ajst-19139	78	42	inferences	inference	NOUN
ajst-19139	78	43	about	about	ADP
ajst-19139	78	44	tcr	tcr	PROPN
ajst-19139	78	45	t	t	PROPN
ajst-19139	78	46	cell	cell	NOUN
ajst-19139	78	47	antigen	antigen	ADJ
ajst-19139	78	48	specificity	specificity	NOUN
ajst-19139	78	49	.	.	PUNCT
ajst-19139	79	1	the	the	DET
ajst-19139	79	2	most	most	ADV
ajst-19139	79	3	plausible	plausible	ADJ
ajst-19139	79	4	explanations	explanation	NOUN
ajst-19139	79	5	are	be	AUX
ajst-19139	79	6	data	datum	NOUN
ajst-19139	79	7	limitations	limitation	NOUN
ajst-19139	79	8	,	,	PUNCT
ajst-19139	79	9	methodological	methodological	ADJ
ajst-19139	79	10	gaps	gap	NOUN
ajst-19139	79	11	,	,	PUNCT
ajst-19139	79	12	and	and	CCONJ
ajst-19139	79	13	incomplete	incomplete	ADJ
ajst-19139	79	14	basic	basic	ADJ
ajst-19139	79	15	immunological	immunological	ADJ
ajst-19139	79	16	models	model	NOUN
ajst-19139	79	17	.	.	PUNCT
ajst-19139	80	1	(	(	PUNCT
ajst-19139	80	2	1	1	X
ajst-19139	80	3	)	)	PUNCT
ajst-19139	80	4	data	datum	NOUN
ajst-19139	80	5	the	the	DET
ajst-19139	80	6	single	single	ADJ
ajst-19139	80	7	most	most	ADV
ajst-19139	80	8	important	important	ADJ
ajst-19139	80	9	limitation	limitation	NOUN
ajst-19139	80	10	in	in	ADP
ajst-19139	80	11	model	model	NOUN
ajst-19139	80	12	development	development	NOUN
ajst-19139	80	13	is	be	AUX
ajst-19139	80	14	the	the	DET
ajst-19139	80	15	availability	availability	NOUN
ajst-19139	80	16	of	of	ADP
ajst-19139	80	17	high	high	ADJ
ajst-19139	80	18	-	-	PUNCT
ajst-19139	80	19	quality	quality	NOUN
ajst-19139	80	20	tcr	tcr	PROPN
ajst-19139	80	21	and	and	CCONJ
ajst-19139	80	22	antigen	antigen	ADJ
ajst-19139	80	23	mhc	mhc	PROPN
ajst-19139	80	24	pairs	pair	NOUN
ajst-19139	80	25	.	.	PUNCT
ajst-19139	81	1	the	the	DET
ajst-19139	81	2	need	need	NOUN
ajst-19139	81	3	is	be	AUX
ajst-19139	81	4	most	most	ADV
ajst-19139	81	5	urgent	urgent	ADJ
ajst-19139	81	6	for	for	ADP
ajst-19139	81	7	underrepresented	underrepresented	ADJ
ajst-19139	81	8	antigens	antigen	NOUN
ajst-19139	81	9	,	,	PUNCT
ajst-19139	81	10	antigens	antigen	NOUN
ajst-19139	81	11	with	with	ADP
ajst-19139	81	12	low	low	ADJ
ajst-19139	81	13	hla	hla	PROPN
ajst-19139	81	14	allele	allele	NOUN
ajst-19139	81	15	frequency	frequency	NOUN
ajst-19139	81	16	,	,	PUNCT
ajst-19139	81	17	and	and	CCONJ
ajst-19139	81	18	the	the	DET
ajst-19139	81	19	association	association	NOUN
ajst-19139	81	20	between	between	ADP
ajst-19139	81	21	epitope	epitope	NOUN
ajst-19139	81	22	specificity	specificity	NOUN
ajst-19139	81	23	and	and	CCONJ
ajst-19139	81	24	t	t	NOUN
ajst-19139	81	25	cell	cell	NOUN
ajst-19139	81	26	function	function	NOUN
ajst-19139	81	27	.	.	PUNCT
ajst-19139	82	1	[	[	X
ajst-19139	82	2	27]meanwhile	27]meanwhile	NUM
ajst-19139	82	3	,	,	PUNCT
ajst-19139	82	4	single	single	ADJ
ajst-19139	82	5	-	-	PUNCT
ajst-19139	82	6	cell	cell	NOUN
ajst-19139	82	7	multimodal	multimodal	NOUN
ajst-19139	82	8	techniques	technique	NOUN
ajst-19139	82	9	have	have	AUX
ajst-19139	82	10	generated	generate	VERB
ajst-19139	82	11	hundreds	hundred	NOUN
ajst-19139	82	12	of	of	ADP
ajst-19139	82	13	millions	million	NOUN
ajst-19139	82	14	of	of	ADP
ajst-19139	82	15	unlabeled	unlabele	VERB
ajst-19139	82	16	tcr	tcr	PROPN
ajst-19139	82	17	sequences	sequence	NOUN
ajst-19139	82	18	that	that	PRON
ajst-19139	82	19	correlate	correlate	VERB
ajst-19139	82	20	with	with	ADP
ajst-19139	82	21	transcriptomic	transcriptomic	ADJ
ajst-19139	82	22	,	,	PUNCT
ajst-19139	82	23	phenotypic	phenotypic	NOUN
ajst-19139	82	24	,	,	PUNCT
ajst-19139	82	25	and	and	CCONJ
ajst-19139	82	26	functional	functional	ADJ
ajst-19139	82	27	information	information	NOUN
ajst-19139	82	28	.	.	PUNCT
ajst-19139	83	1	however	however	ADV
ajst-19139	83	2	,	,	PUNCT
ajst-19139	83	3	this	this	DET
ajst-19139	83	4	unlabeled	unlabele	VERB
ajst-19139	83	5	data	data	NOUN
ajst-19139	83	6	is	be	AUX
ajst-19139	83	7	not	not	PART
ajst-19139	83	8	without	without	ADP
ajst-19139	83	9	significant	significant	ADJ
ajst-19139	83	10	limitations	limitation	NOUN
ajst-19139	83	11	.	.	PUNCT
ajst-19139	84	1	it	it	PRON
ajst-19139	84	2	is	be	AUX
ajst-19139	84	3	important	important	ADJ
ajst-19139	84	4	to	to	PART
ajst-19139	84	5	note	note	VERB
ajst-19139	84	6	that	that	SCONJ
ajst-19139	84	7	biological	biological	ADJ
ajst-19139	84	8	factors	factor	NOUN
ajst-19139	84	9	such	such	ADJ
ajst-19139	84	10	as	as	ADP
ajst-19139	84	11	age	age	NOUN
ajst-19139	84	12	,	,	PUNCT
ajst-19139	84	13	gender	gender	NOUN
ajst-19139	84	14	,	,	PUNCT
ajst-19139	84	15	ethnicity	ethnicity	NOUN
ajst-19139	84	16	,	,	PUNCT
ajst-19139	84	17	and	and	CCONJ
ajst-19139	84	18	disease	disease	NOUN
ajst-19139	84	19	background	background	NOUN
ajst-19139	84	20	vary	vary	VERB
ajst-19139	84	21	across	across	ADP
ajst-19139	84	22	studies	study	NOUN
ajst-19139	84	23	and	and	CCONJ
ajst-19139	84	24	may	may	AUX
ajst-19139	84	25	influence	influence	VERB
ajst-19139	84	26	immune	immune	ADJ
ajst-19139	84	27	responses	response	NOUN
ajst-19139	84	28	.	.	PUNCT
ajst-19139	85	1	differences	difference	NOUN
ajst-19139	85	2	in	in	ADP
ajst-19139	85	3	experimental	experimental	ADJ
ajst-19139	85	4	protocols	protocol	NOUN
ajst-19139	85	5	,	,	PUNCT
ajst-19139	85	6	sequence	sequence	NOUN
ajst-19139	85	7	preprocessing	preprocessing	NOUN
ajst-19139	85	8	,	,	PUNCT
ajst-19139	85	9	total	total	ADJ
ajst-19139	85	10	variation	variation	NOUN
ajst-19139	85	11	filtering	filtering	NOUN
ajst-19139	85	12	(	(	PUNCT
ajst-19139	85	13	denoising	denoising	NOUN
ajst-19139	85	14	)	)	PUNCT
ajst-19139	85	15	and	and	CCONJ
ajst-19139	85	16	standardization	standardization	NOUN
ajst-19139	85	17	between	between	ADP
ajst-19139	85	18	laboratory	laboratory	NOUN
ajst-19139	85	19	groups	group	NOUN
ajst-19139	85	20	may	may	AUX
ajst-19139	85	21	also	also	ADV
ajst-19139	85	22	have	have	VERB
ajst-19139	85	23	an	an	DET
ajst-19139	85	24	impact	impact	NOUN
ajst-19139	85	25	:	:	PUNCT
ajst-19139	85	26	it	it	PRON
ajst-19139	85	27	is	be	AUX
ajst-19139	85	28	likely	likely	ADJ
ajst-19139	85	29	that	that	PRON
ajst-19139	85	30	batch	batch	NOUN
ajst-19139	85	31	correction	correction	NOUN
ajst-19139	85	32	will	will	AUX
ajst-19139	85	33	need	need	VERB
ajst-19139	85	34	to	to	PART
ajst-19139	85	35	be	be	AUX
ajst-19139	85	36	applied	apply	VERB
ajst-19139	85	37	.	.	PUNCT
ajst-19139	86	1	as	as	ADP
ajst-19139	86	2	a	a	DET
ajst-19139	86	3	result	result	NOUN
ajst-19139	86	4	,	,	PUNCT
ajst-19139	86	5	a	a	DET
ajst-19139	86	6	thoughtful	thoughtful	ADJ
ajst-19139	86	7	approach	approach	NOUN
ajst-19139	86	8	to	to	ADP
ajst-19139	86	9	data	datum	NOUN
ajst-19139	86	10	integration	integration	NOUN
ajst-19139	86	11	,	,	PUNCT
ajst-19139	86	12	noise	noise	NOUN
ajst-19139	86	13	correction	correction	NOUN
ajst-19139	86	14	,	,	PUNCT
ajst-19139	86	15	processing	processing	NOUN
ajst-19139	86	16	,	,	PUNCT
ajst-19139	86	17	and	and	CCONJ
ajst-19139	86	18	annotation	annotation	NOUN
ajst-19139	86	19	may	may	AUX
ajst-19139	86	20	be	be	AUX
ajst-19139	86	21	critical	critical	ADJ
ajst-19139	86	22	to	to	ADP
ajst-19139	86	23	advancing	advance	VERB
ajst-19139	86	24	state	state	NOUN
ajst-19139	86	25	-	-	PUNCT
ajst-19139	86	26	of	of	ADP
ajst-19139	86	27	-	-	PUNCT
ajst-19139	86	28	the	the	DET
ajst-19139	86	29	-	-	PUNCT
ajst-19139	86	30	art	art	NOUN
ajst-19139	86	31	predictive	predictive	ADJ
ajst-19139	86	32	models	model	NOUN
ajst-19139	86	33	.	.	PUNCT
ajst-19139	87	1	(	(	PUNCT
ajst-19139	87	2	2	2	X
ajst-19139	87	3	)	)	PUNCT
ajst-19139	87	4	modeling	model	VERB
ajst-19139	87	5	the	the	DET
ajst-19139	87	6	exponential	exponential	ADJ
ajst-19139	87	7	growth	growth	NOUN
ajst-19139	87	8	of	of	ADP
ajst-19139	87	9	tcr	tcr	PROPN
ajst-19139	87	10	data	datum	NOUN
ajst-19139	87	11	from	from	ADP
ajst-19139	87	12	single	single	ADJ
ajst-19139	87	13	-	-	PUNCT
ajst-19139	87	14	cell	cell	NOUN
ajst-19139	87	15	technologies	technology	NOUN
ajst-19139	87	16	,	,	PUNCT
ajst-19139	87	17	as	as	ADV
ajst-19139	87	18	well	well	ADV
ajst-19139	87	19	as	as	ADP
ajst-19139	87	20	cutting	cut	VERB
ajst-19139	87	21	-	-	PUNCT
ajst-19139	87	22	edge	edge	NOUN
ajst-19139	87	23	advances	advance	NOUN
ajst-19139	87	24	in	in	ADP
ajst-19139	87	25	artificial	artificial	ADJ
ajst-19139	87	26	intelligence	intelligence	NOUN
ajst-19139	87	27	and	and	CCONJ
ajst-19139	87	28	machine	machine	NOUN
ajst-19139	87	29	learning	learning	NOUN
ajst-19139	87	30	,	,	PUNCT
ajst-19139	87	31	have	have	AUX
ajst-19139	87	32	brought	bring	VERB
ajst-19139	87	33	tcr	tcr	PROPN
ajst-19139	87	34	antigene	antigene	VERB
ajst-19139	87	35	-	-	PUNCT
ajst-19139	87	36	specific	specific	ADJ
ajst-19139	87	37	inference	inference	NOUN
ajst-19139	87	38	into	into	ADP
ajst-19139	87	39	focus	focus	NOUN
ajst-19139	87	40	.	.	PUNCT
ajst-19139	88	1	however	however	ADV
ajst-19139	88	2	,	,	PUNCT
ajst-19139	88	3	several	several	ADJ
ajst-19139	88	4	key	key	ADJ
ajst-19139	88	5	gaps	gap	NOUN
ajst-19139	88	6	must	must	AUX
ajst-19139	88	7	be	be	AUX
ajst-19139	88	8	addressed	address	VERB
ajst-19139	88	9	before	before	SCONJ
ajst-19139	88	10	a	a	DET
ajst-19139	88	11	solution	solution	NOUN
ajst-19139	88	12	for	for	ADP
ajst-19139	88	13	generalized	generalized	ADJ
ajst-19139	88	14	epitope	epitope	NOUN
ajst-19139	88	15	-	-	PUNCT
ajst-19139	88	16	specific	specific	ADJ
ajst-19139	88	17	inference	inference	NOUN
ajst-19139	88	18	can	can	AUX
ajst-19139	88	19	be	be	AUX
ajst-19139	88	20	implemented	implement	VERB
ajst-19139	88	21	.	.	PUNCT
ajst-19139	89	1	first	first	ADV
ajst-19139	89	2	,	,	PUNCT
ajst-19139	89	3	models	model	NOUN
ajst-19139	89	4	with	with	ADP
ajst-19139	89	5	tcr	tcr	PROPN
ajst-19139	89	6	sequence	sequence	NOUN
ajst-19139	89	7	input	input	NOUN
ajst-19139	89	8	limited	limit	VERB
ajst-19139	89	9	to	to	ADP
ajst-19139	89	10	coding	code	VERB
ajst-19139	89	11	using	use	VERB
ajst-19139	89	12	β	β	NOUN
ajst-19139	89	13	-	-	ADJ
ajst-19139	89	14	chain	chain	ADJ
ajst-19139	89	15	cdr3	cdr3	ADJ
ajst-19139	89	16	rings	ring	NOUN
ajst-19139	89	17	and	and	CCONJ
ajst-19139	89	18	vdj	vdj	PROPN
ajst-19139	89	19	genes	gene	NOUN
ajst-19139	89	20	are	be	AUX
ajst-19139	89	21	only	only	ADV
ajst-19139	89	22	likely	likely	ADJ
ajst-19139	89	23	to	to	PART
ajst-19139	89	24	tell	tell	VERB
ajst-19139	89	25	part	part	NOUN
ajst-19139	89	26	of	of	ADP
ajst-19139	89	27	the	the	DET
ajst-19139	89	28	story	story	NOUN
ajst-19139	89	29	of	of	ADP
ajst-19139	89	30	antigen	antigen	ADJ
ajst-19139	89	31	recognition	recognition	NOUN
ajst-19139	89	32	,	,	PUNCT
ajst-19139	89	33	and	and	CCONJ
ajst-19139	89	34	the	the	DET
ajst-19139	89	35	extent	extent	NOUN
ajst-19139	89	36	to	to	PART
ajst-19139	89	37	which	which	PRON
ajst-19139	89	38	single	single	ADJ
ajst-19139	89	39	-	-	PUNCT
ajst-19139	89	40	strand	strand	NOUN
ajst-19139	89	41	pairing	pairing	NOUN
ajst-19139	89	42	is	be	AUX
ajst-19139	89	43	sufficient	sufficient	ADJ
ajst-19139	89	44	to	to	PART
ajst-19139	89	45	describe	describe	VERB
ajst-19139	89	46	tcr	tcr	PROPN
ajst-19139	89	47	antigen	antigen	PRON
ajst-19139	89	48	specificity	specificity	NOUN
ajst-19139	89	49	remains	remain	VERB
ajst-19139	89	50	an	an	DET
ajst-19139	89	51	open	open	ADJ
ajst-19139	89	52	question	question	NOUN
ajst-19139	89	53	.	.	PUNCT
ajst-19139	90	1	structural	structural	ADJ
ajst-19139	90	2	and	and	CCONJ
ajst-19139	90	3	statistical	statistical	ADJ
ajst-19139	90	4	analyses	analysis	NOUN
ajst-19139	90	5	showed	show	VERB
ajst-19139	90	6	that	that	SCONJ
ajst-19139	90	7	the	the	DET
ajst-19139	90	8	α	α	NOUN
ajst-19139	90	9	-	-	NOUN
ajst-19139	90	10	chain	chain	NOUN
ajst-19139	90	11	and	and	CCONJ
ajst-19139	90	12	β	β	NOUN
ajst-19139	90	13	-	-	NOUN
ajst-19139	90	14	chain	chain	NOUN
ajst-19139	90	15	contribute	contribute	VERB
ajst-19139	90	16	equally	equally	ADV
ajst-19139	90	17	to	to	ADP
ajst-19139	90	18	specificity	specificity	NOUN
ajst-19139	90	19	,	,	PUNCT
ajst-19139	90	20	and	and	CCONJ
ajst-19139	90	21	combining	combine	VERB
ajst-19139	90	22	the	the	DET
ajst-19139	90	23	two	two	NUM
ajst-19139	90	24	chains	chain	NOUN
ajst-19139	90	25	can	can	AUX
ajst-19139	90	26	improve	improve	VERB
ajst-19139	90	27	prediction	prediction	NOUN
ajst-19139	90	28	performance	performance	NOUN
ajst-19139	90	29	.	.	PUNCT
ajst-19139	91	1	however	however	ADV
ajst-19139	91	2	,	,	PUNCT
ajst-19139	91	3	chain	chain	NOUN
ajst-19139	91	4	pairing	pair	VERB
ajst-19139	91	5	information	information	NOUN
ajst-19139	91	6	is	be	AUX
ajst-19139	91	7	largely	largely	ADV
ajst-19139	91	8	missing	missing	ADJ
ajst-19139	91	9	,	,	PUNCT
ajst-19139	91	10	and	and	CCONJ
ajst-19139	91	11	many	many	ADJ
ajst-19139	91	12	of	of	ADP
ajst-19139	91	13	the	the	DET
ajst-19139	91	14	most	most	ADV
ajst-19139	91	15	advanced	advanced	ADJ
ajst-19139	91	16	spms	spm	NOUN
ajst-19139	91	17	and	and	CCONJ
ajst-19139	91	18	ucms	ucm	NOUN
ajst-19139	91	19	rely	rely	VERB
ajst-19139	91	20	on	on	ADP
ajst-19139	91	21	singlestrand	singlestrand	NOUN
ajst-19139	91	22	information	information	NOUN
ajst-19139	91	23	.	.	PUNCT
ajst-19139	92	1	although	although	SCONJ
ajst-19139	92	2	the	the	DET
ajst-19139	92	3	cdr3	cdr3	ADJ
ajst-19139	92	4	ring	ring	NOUN
ajst-19139	92	5	may	may	AUX
ajst-19139	92	6	be	be	AUX
ajst-19139	92	7	primarily	primarily	ADV
ajst-19139	92	8	responsible	responsible	ADJ
ajst-19139	92	9	for	for	ADP
ajst-19139	92	10	antigen	antigen	ADJ
ajst-19139	92	11	recognition	recognition	NOUN
ajst-19139	92	12	,	,	PUNCT
ajst-19139	92	13	residues	residue	NOUN
ajst-19139	92	14	of	of	ADP
ajst-19139	92	15	cdr1	cdr1	PROPN
ajst-19139	92	16	,	,	PUNCT
ajst-19139	92	17	cdr2	cdr2	PROPN
ajst-19139	92	18	,	,	PUNCT
ajst-19139	92	19	and	and	CCONJ
ajst-19139	92	20	even	even	ADV
ajst-19139	92	21	the	the	DET
ajst-19139	92	22	framework	framework	NOUN
ajst-19139	92	23	regions	region	NOUN
ajst-19139	92	24	of	of	ADP
ajst-19139	92	25	the	the	DET
ajst-19139	92	26	alpha	alpha	NOUN
ajst-19139	92	27	and	and	CCONJ
ajst-19139	92	28	beta	beta	NOUN
ajst-19139	92	29	chains	chain	NOUN
ajst-19139	92	30	may	may	AUX
ajst-19139	92	31	also	also	ADV
ajst-19139	92	32	be	be	AUX
ajst-19139	92	33	involved	involve	VERB
ajst-19139	92	34	.	.	PUNCT
ajst-19139	93	1	subtle	subtle	ADJ
ajst-19139	93	2	compensatory	compensatory	ADJ
ajst-19139	93	3	changes	change	NOUN
ajst-19139	93	4	in	in	ADP
ajst-19139	93	5	the	the	DET
ajst-19139	93	6	peptide	peptide	NOUN
ajst-19139	93	7	-	-	PUNCT
ajst-19139	93	8	mhc	mhc	PROPN
ajst-19139	93	9	and	and	CCONJ
ajst-19139	93	10	tcr	tcr	PROPN
ajst-19139	93	11	interaction	interaction	NOUN
ajst-19139	93	12	network	network	NOUN
ajst-19139	93	13	,	,	PUNCT
ajst-19139	93	14	changes	change	NOUN
ajst-19139	93	15	in	in	ADP
ajst-19139	93	16	the	the	DET
ajst-19139	93	17	binding	bind	VERB
ajst-19139	93	18	pattern	pattern	NOUN
ajst-19139	93	19	and	and	CCONJ
ajst-19139	93	20	conformational	conformational	ADJ
ajst-19139	93	21	flexibility	flexibility	NOUN
ajst-19139	93	22	of	of	ADP
ajst-19139	93	23	tcr	tcr	PROPN
ajst-19139	93	24	and	and	CCONJ
ajst-19139	93	25	mhc	mhc	PROPN
ajst-19139	93	26	may	may	AUX
ajst-19139	93	27	support	support	VERB
ajst-19139	93	28	tcr	tcr	PROPN
ajst-19139	93	29	cross	cross	NOUN
ajst-19139	93	30	-	-	NOUN
ajst-19139	93	31	reactivity	reactivity	NOUN
ajst-19139	93	32	.	.	PUNCT
ajst-19139	94	1	until	until	SCONJ
ajst-19139	94	2	recently	recently	ADV
ajst-19139	94	3	,	,	PUNCT
ajst-19139	94	4	explicit	explicit	ADJ
ajst-19139	94	5	encoding	encoding	NOUN
ajst-19139	94	6	of	of	ADP
ajst-19139	94	7	structural	structural	ADJ
ajst-19139	94	8	information	information	NOUN
ajst-19139	94	9	for	for	ADP
ajst-19139	94	10	specific	specific	ADJ
ajst-19139	94	11	26	26	NUM
ajst-19139	94	12	inference	inference	NOUN
ajst-19139	94	13	was	be	AUX
ajst-19139	94	14	limited	limit	VERB
ajst-19139	94	15	to	to	ADP
ajst-19139	94	16	the	the	DET
ajst-19139	94	17	study	study	NOUN
ajst-19139	94	18	of	of	ADP
ajst-19139	94	19	the	the	DET
ajst-19139	94	20	structure	structure	NOUN
ajst-19139	94	21	of	of	ADP
ajst-19139	94	22	a	a	DET
ajst-19139	94	23	limited	limited	ADJ
ajst-19139	94	24	set	set	NOUN
ajst-19139	94	25	of	of	ADP
ajst-19139	94	26	crystals	crystal	NOUN
ajst-19139	94	27	.	.	PUNCT
ajst-19139	95	1	(	(	PUNCT
ajst-19139	95	2	3	3	X
ajst-19139	95	3	)	)	PUNCT
ajst-19139	95	4	immunology	immunology	NOUN
ajst-19139	95	5	it	it	PRON
ajst-19139	95	6	is	be	AUX
ajst-19139	95	7	now	now	ADV
ajst-19139	95	8	clear	clear	ADJ
ajst-19139	95	9	that	that	SCONJ
ajst-19139	95	10	the	the	DET
ajst-19139	95	11	potential	potential	ADJ
ajst-19139	95	12	immunological	immunological	ADJ
ajst-19139	95	13	relevance	relevance	NOUN
ajst-19139	95	14	of	of	ADP
ajst-19139	95	15	t	t	NOUN
ajst-19139	95	16	cell	cell	NOUN
ajst-19139	95	17	interactions	interaction	NOUN
ajst-19139	95	18	with	with	ADP
ajst-19139	95	19	their	their	PRON
ajst-19139	95	20	homologous	homologous	ADJ
ajst-19139	95	21	ligands	ligand	NOUN
ajst-19139	95	22	is	be	AUX
ajst-19139	95	23	highly	highly	ADV
ajst-19139	95	24	variable	variable	ADJ
ajst-19139	95	25	and	and	CCONJ
ajst-19139	95	26	only	only	ADV
ajst-19139	95	27	partially	partially	ADV
ajst-19139	95	28	understood	understand	VERB
ajst-19139	95	29	,	,	PUNCT
ajst-19139	95	30	which	which	PRON
ajst-19139	95	31	has	have	VERB
ajst-19139	95	32	important	important	ADJ
ajst-19139	95	33	implications	implication	NOUN
ajst-19139	95	34	for	for	ADP
ajst-19139	95	35	model	model	NOUN
ajst-19139	95	36	design	design	NOUN
ajst-19139	95	37	.	.	PUNCT
ajst-19139	96	1	importantly	importantly	ADV
ajst-19139	96	2	,	,	PUNCT
ajst-19139	96	3	tcr	tcr	PROPN
ajst-19139	96	4	antigenspecific	antigenspecific	PROPN
ajst-19139	96	5	inference	inference	PROPN
ajst-19139	96	6	is	be	AUX
ajst-19139	96	7	only	only	ADV
ajst-19139	96	8	one	one	NUM
ajst-19139	96	9	piece	piece	NOUN
ajst-19139	96	10	of	of	ADP
ajst-19139	96	11	the	the	DET
ajst-19139	96	12	larger	large	ADJ
ajst-19139	96	13	puzzle	puzzle	NOUN
ajst-19139	96	14	of	of	ADP
ajst-19139	96	15	predicting	predict	VERB
ajst-19139	96	16	antigen	antigen	ADJ
ajst-19139	96	17	immunogenicity	immunogenicity	NOUN
ajst-19139	96	18	,	,	PUNCT
ajst-19139	96	19	which	which	PRON
ajst-19139	96	20	the	the	DET
ajst-19139	96	21	authors	author	NOUN
ajst-19139	96	22	divide	divide	VERB
ajst-19139	96	23	into	into	ADP
ajst-19139	96	24	three	three	NUM
ajst-19139	96	25	stages	stage	NOUN
ajst-19139	96	26	:	:	PUNCT
ajst-19139	96	27	antigen	antigen	NOUN
ajst-19139	96	28	processing	processing	NOUN
ajst-19139	96	29	and	and	CCONJ
ajst-19139	96	30	mhc	mhc	PROPN
ajst-19139	96	31	presentation	presentation	NOUN
ajst-19139	96	32	,	,	PUNCT
ajst-19139	96	33	tcr	tcr	PROPN
ajst-19139	96	34	recognition	recognition	PROPN
ajst-19139	96	35	,	,	PUNCT
ajst-19139	96	36	and	and	CCONJ
ajst-19139	96	37	t	t	PROPN
ajst-19139	96	38	cell	cell	NOUN
ajst-19139	96	39	response	response	NOUN
ajst-19139	96	40	.	.	PUNCT
ajst-19139	97	1	antigen	antigen	ADJ
ajst-19139	97	2	processing	processing	NOUN
ajst-19139	97	3	and	and	CCONJ
ajst-19139	97	4	presentation	presentation	NOUN
ajst-19139	97	5	pathways	pathway	NOUN
ajst-19139	97	6	have	have	AUX
ajst-19139	97	7	been	be	AUX
ajst-19139	97	8	extensively	extensively	ADV
ajst-19139	97	9	studied	study	VERB
ajst-19139	97	10	,	,	PUNCT
ajst-19139	97	11	and	and	CCONJ
ajst-19139	97	12	computational	computational	ADJ
ajst-19139	97	13	models	model	NOUN
ajst-19139	97	14	for	for	ADP
ajst-19139	97	15	predicting	predict	VERB
ajst-19139	97	16	peptide	peptide	ADJ
ajst-19139	97	17	binding	bind	VERB
ajst-19139	97	18	affinity	affinity	NOUN
ajst-19139	97	19	to	to	ADP
ajst-19139	97	20	certain	certain	ADJ
ajst-19139	97	21	mhc	mhc	PROPN
ajst-19139	97	22	alleles	allele	NOUN
ajst-19139	97	23	,	,	PUNCT
ajst-19139	97	24	especially	especially	ADV
ajst-19139	97	25	class	class	NOUN
ajst-19139	97	26	i	i	PROPN
ajst-19139	97	27	hla	hla	PROPN
ajst-19139	97	28	,	,	PUNCT
ajst-19139	97	29	have	have	AUX
ajst-19139	97	30	achieved	achieve	VERB
ajst-19139	97	31	near	near	ADV
ajst-19139	97	32	-	-	PUNCT
ajst-19139	97	33	perfect	perfect	ADJ
ajst-19139	97	34	roc	roc	NOUN
ajst-19139	97	35	auc	auc	NOUN
ajst-19139	97	36	for	for	ADP
ajst-19139	97	37	common	common	ADJ
ajst-19139	97	38	alleles	allele	NOUN
ajst-19139	97	39	.	.	PUNCT
ajst-19139	98	1	however	however	ADV
ajst-19139	98	2	,	,	PUNCT
ajst-19139	98	3	this	this	DET
ajst-19139	98	4	problem	problem	NOUN
ajst-19139	98	5	is	be	AUX
ajst-19139	98	6	far	far	ADV
ajst-19139	98	7	from	from	ADP
ajst-19139	98	8	solved	solve	VERB
ajst-19139	98	9	,	,	PUNCT
ajst-19139	98	10	especially	especially	ADV
ajst-19139	98	11	for	for	ADP
ajst-19139	98	12	the	the	DET
ajst-19139	98	13	lower	low	ADJ
ajst-19139	98	14	frequency	frequency	NOUN
ajst-19139	98	15	mhc	mhc	PROPN
ajst-19139	98	16	class	class	NOUN
ajst-19139	98	17	i	i	PRON
ajst-19139	98	18	alleles	allele	VERB
ajst-19139	98	19	and	and	CCONJ
ajst-19139	98	20	mhc	mhc	PROPN
ajst-19139	98	21	class	class	PROPN
ajst-19139	98	22	ii	ii	PROPN
ajst-19139	98	23	alleles	allele	NOUN
ajst-19139	98	24	.	.	PUNCT
ajst-19139	99	1	4	4	X
ajst-19139	99	2	.	.	X
ajst-19139	99	3	conclusion	conclusion	NOUN
ajst-19139	99	4	first	first	ADV
ajst-19139	99	5	,	,	PUNCT
ajst-19139	99	6	a	a	DET
ajst-19139	99	7	merge	merge	NOUN
ajst-19139	99	8	and	and	CCONJ
ajst-19139	99	9	validation	validation	NOUN
ajst-19139	99	10	library	library	NOUN
ajst-19139	99	11	of	of	ADP
ajst-19139	99	12	labeled	label	VERB
ajst-19139	99	13	and	and	CCONJ
ajst-19139	99	14	unlabeled	unlabele	VERB
ajst-19139	99	15	tcr	tcr	PROPN
ajst-19139	99	16	data	datum	NOUN
ajst-19139	99	17	should	should	AUX
ajst-19139	99	18	be	be	AUX
ajst-19139	99	19	provided	provide	VERB
ajst-19139	99	20	to	to	PART
ajst-19139	99	21	facilitate	facilitate	VERB
ajst-19139	99	22	model	model	NOUN
ajst-19139	99	23	pre	pre	NOUN
ajst-19139	99	24	-	-	NOUN
ajst-19139	99	25	training	training	NOUN
ajst-19139	99	26	and	and	CCONJ
ajst-19139	99	27	system	system	NOUN
ajst-19139	99	28	comparison	comparison	NOUN
ajst-19139	99	29	.	.	PUNCT
ajst-19139	100	1	second	second	ADJ
ajst-19139	100	2	,	,	PUNCT
ajst-19139	100	3	efforts	effort	NOUN
ajst-19139	100	4	should	should	AUX
ajst-19139	100	5	be	be	AUX
ajst-19139	100	6	coordinated	coordinate	VERB
ajst-19139	100	7	to	to	PART
ajst-19139	100	8	improve	improve	VERB
ajst-19139	100	9	coverage	coverage	NOUN
ajst-19139	100	10	of	of	ADP
ajst-19139	100	11	tcr	tcr	PROPN
ajst-19139	100	12	antigen	antigen	NOUN
ajst-19139	100	13	pairs	pair	NOUN
ajst-19139	100	14	presented	present	VERB
ajst-19139	100	15	by	by	ADP
ajst-19139	100	16	less	less	ADV
ajst-19139	100	17	common	common	ADJ
ajst-19139	100	18	[	[	X
ajst-19139	100	19	28	28	NUM
ajst-19139	100	20	-	-	PUNCT
ajst-19139	100	21	29]hla	29]hla	NOUN
ajst-19139	100	22	alleles	allele	NOUN
ajst-19139	100	23	and	and	CCONJ
ajst-19139	100	24	non	non	ADJ
ajst-19139	100	25	-	-	ADJ
ajst-19139	100	26	viral	viral	ADJ
ajst-19139	100	27	epitopes	epitope	NOUN
ajst-19139	100	28	.	.	PUNCT
ajst-19139	101	1	continued	continue	VERB
ajst-19139	101	2	publication	publication	NOUN
ajst-19139	101	3	of	of	ADP
ajst-19139	101	4	negative	negative	ADJ
ajst-19139	101	5	and	and	CCONJ
ajst-19139	101	6	positive	positive	ADJ
ajst-19139	101	7	tcr	tcr	PROPN
ajst-19139	101	8	epitope	epitope	NOUN
ajst-19139	101	9	-	-	PUNCT
ajst-19139	101	10	binding	bind	VERB
ajst-19139	101	11	data	datum	NOUN
ajst-19139	101	12	is	be	AUX
ajst-19139	101	13	encouraged	encourage	VERB
ajst-19139	101	14	to	to	PART
ajst-19139	101	15	produce	produce	VERB
ajst-19139	101	16	balanced	balanced	ADJ
ajst-19139	101	17	datasets	dataset	NOUN
ajst-19139	101	18	.	.	PUNCT
ajst-19139	102	1	third	third	ADJ
ajst-19139	102	2	,	,	PUNCT
ajst-19139	102	3	an	an	DET
ajst-19139	102	4	independent	independent	ADJ
ajst-19139	102	5	,	,	PUNCT
ajst-19139	102	6	unbiased	unbiased	ADJ
ajst-19139	102	7	,	,	PUNCT
ajst-19139	102	8	and	and	CCONJ
ajst-19139	102	9	systematic	systematic	ADJ
ajst-19139	102	10	evaluation	evaluation	NOUN
ajst-19139	102	11	of	of	ADP
ajst-19139	102	12	model	model	NOUN
ajst-19139	102	13	performance	performance	NOUN
ajst-19139	102	14	for	for	ADP
ajst-19139	102	15	spm	spm	PROPN
ajst-19139	102	16	,	,	PUNCT
ajst-19139	102	17	ucm	ucm	PROPN
ajst-19139	102	18	,	,	PUNCT
ajst-19139	102	19	and	and	CCONJ
ajst-19139	102	20	a	a	DET
ajst-19139	102	21	combination	combination	NOUN
ajst-19139	102	22	of	of	ADP
ajst-19139	102	23	both	both	PRON
ajst-19139	102	24	is	be	AUX
ajst-19139	102	25	of	of	ADP
ajst-19139	102	26	great	great	ADJ
ajst-19139	102	27	help	help	NOUN
ajst-19139	102	28	.	.	PUNCT
ajst-19139	103	1	this	this	DET
ajst-19139	103	2	comparison	comparison	NOUN
ajst-19139	103	3	should	should	AUX
ajst-19139	103	4	use	use	VERB
ajst-19139	103	5	consistent	consistent	ADJ
ajst-19139	103	6	evaluation	evaluation	NOUN
ajst-19139	103	7	measures	measure	NOUN
ajst-19139	103	8	,	,	PUNCT
ajst-19139	103	9	including	include	VERB
ajst-19139	103	10	but	but	CCONJ
ajst-19139	103	11	not	not	PART
ajst-19139	103	12	limited	limit	VERB
ajst-19139	103	13	to	to	ADP
ajst-19139	103	14	the	the	DET
ajst-19139	103	15	roc	roc	NOUN
ajst-19139	103	16	-	-	PUNCT
ajst-19139	103	17	auc	auc	NOUN
ajst-19139	103	18	and	and	CCONJ
ajst-19139	103	19	the	the	DET
ajst-19139	103	20	area	area	NOUN
ajst-19139	103	21	under	under	ADP
ajst-19139	103	22	the	the	DET
ajst-19139	103	23	precise	precise	ADJ
ajst-19139	103	24	recall	recall	NOUN
ajst-19139	103	25	curve	curve	NOUN
ajst-19139	103	26	,	,	PUNCT
ajst-19139	103	27	that	that	PRON
ajst-19139	103	28	describe	describe	VERB
ajst-19139	103	29	the	the	DET
ajst-19139	103	30	performance	performance	NOUN
ajst-19139	103	31	of	of	ADP
ajst-19139	103	32	common	common	ADJ
ajst-19139	103	33	and	and	CCONJ
ajst-19139	103	34	rare	rare	ADJ
ajst-19139	103	35	hla	hla	PROPN
ajst-19139	103	36	subtypes	subtype	NOUN
ajst-19139	103	37	,	,	PUNCT
ajst-19139	103	38	visible	visible	ADJ
ajst-19139	103	39	and	and	CCONJ
ajst-19139	103	40	invisible	invisible	ADJ
ajst-19139	103	41	tcrs	tcrs	NOUN
ajst-19139	103	42	,	,	PUNCT
ajst-19139	103	43	and	and	CCONJ
ajst-19139	103	44	epitopes	epitope	NOUN
ajst-19139	103	45	.	.	PUNCT
ajst-19139	104	1	the	the	DET
ajst-19139	104	2	validation	validation	NOUN
ajst-19139	104	3	strategy	strategy	NOUN
ajst-19139	104	4	used	use	VERB
ajst-19139	104	5	in	in	ADP
ajst-19139	104	6	the	the	DET
ajst-19139	104	7	imrex	imrex	ADJ
ajst-19139	104	8	and	and	CCONJ
ajst-19139	104	9	titan	titan	NOUN
ajst-19139	104	10	evaluations	evaluation	NOUN
ajst-19139	104	11	is	be	AUX
ajst-19139	104	12	encouraged	encourage	VERB
ajst-19139	104	13	to	to	PART
ajst-19139	104	14	confirm	confirm	VERB
ajst-19139	104	15	model	model	NOUN
ajst-19139	104	16	performance	performance	NOUN
ajst-19139	104	17	comparisons	comparison	NOUN
ajst-19139	104	18	.	.	PUNCT
ajst-19139	105	1	in	in	ADP
ajst-19139	105	2	the	the	DET
ajst-19139	105	3	future	future	NOUN
ajst-19139	105	4	,	,	PUNCT
ajst-19139	105	5	tcr	tcr	PROPN
ajst-19139	105	6	-	-	PUNCT
ajst-19139	105	7	specific	specific	ADJ
ajst-19139	105	8	inference	inference	NOUN
ajst-19139	105	9	data	datum	NOUN
ajst-19139	105	10	should	should	AUX
ajst-19139	105	11	be	be	AUX
ajst-19139	105	12	expanded	expand	VERB
ajst-19139	105	13	to	to	PART
ajst-19139	105	14	include	include	VERB
ajst-19139	105	15	multimodal	multimodal	ADJ
ajst-19139	105	16	information	information	NOUN
ajst-19139	105	17	as	as	ADP
ajst-19139	105	18	a	a	DET
ajst-19139	105	19	means	means	NOUN
ajst-19139	105	20	of	of	ADP
ajst-19139	105	21	bridging	bridging	NOUN
ajst-19139	105	22	from	from	ADP
ajst-19139	105	23	tcr	tcr	PROPN
ajst-19139	105	24	binding	bind	VERB
ajst-19139	105	25	to	to	ADP
ajst-19139	105	26	immunogenicity	immunogenicity	NOUN
ajst-19139	105	27	prediction	prediction	NOUN
ajst-19139	105	28	.	.	PUNCT
ajst-19139	106	1	the	the	DET
ajst-19139	106	2	scale	scale	NOUN
ajst-19139	106	3	and	and	CCONJ
ajst-19139	106	4	complexity	complexity	NOUN
ajst-19139	106	5	of	of	ADP
ajst-19139	106	6	this	this	DET
ajst-19139	106	7	task	task	NOUN
ajst-19139	106	8	means	mean	VERB
ajst-19139	106	9	that	that	SCONJ
ajst-19139	106	10	an	an	DET
ajst-19139	106	11	interdisciplinary	interdisciplinary	ADJ
ajst-19139	106	12	consortium	consortium	NOUN
ajst-19139	106	13	approach	approach	NOUN
ajst-19139	106	14	is	be	AUX
ajst-19139	106	15	needed	need	VERB
ajst-19139	106	16	to	to	PART
ajst-19139	106	17	systematically	systematically	ADV
ajst-19139	106	18	combine	combine	VERB
ajst-19139	106	19	the	the	DET
ajst-19139	106	20	latest	late	ADJ
ajst-19139	106	21	immunological	immunological	ADJ
ajst-19139	106	22	understanding	understanding	NOUN
ajst-19139	106	23	of	of	ADP
ajst-19139	106	24	cellular	cellular	ADJ
ajst-19139	106	25	immunity	immunity	NOUN
ajst-19139	106	26	with	with	ADP
ajst-19139	106	27	cutting	cut	VERB
ajst-19139	106	28	-	-	PUNCT
ajst-19139	106	29	edge	edge	NOUN
ajst-19139	106	30	developments	development	NOUN
ajst-19139	106	31	in	in	ADP
ajst-19139	106	32	artificial	artificial	ADJ
ajst-19139	106	33	intelligence	intelligence	NOUN
ajst-19139	106	34	and	and	CCONJ
ajst-19139	106	35	data	datum	NOUN
ajst-19139	106	36	science	science	NOUN
ajst-19139	106	37	at	at	ADP
ajst-19139	106	38	the	the	DET
ajst-19139	106	39	organizational	organizational	ADJ
ajst-19139	106	40	level	level	NOUN
ajst-19139	106	41	.	.	PUNCT
ajst-19139	107	1	this	this	PRON
ajst-19139	107	2	should	should	AUX
ajst-19139	107	3	include	include	VERB
ajst-19139	107	4	experimental	experimental	ADJ
ajst-19139	107	5	and	and	CCONJ
ajst-19139	107	6	computational	computational	ADJ
ajst-19139	107	7	immunologists	immunologist	NOUN
ajst-19139	107	8	,	,	PUNCT
ajst-19139	107	9	machine	machine	NOUN
ajst-19139	107	10	learning	learn	VERB
ajst-19139	107	11	experts	expert	NOUN
ajst-19139	107	12	,	,	PUNCT
ajst-19139	107	13	and	and	CCONJ
ajst-19139	107	14	translation	translation	NOUN
ajst-19139	107	15	and	and	CCONJ
ajst-19139	107	16	industrial	industrial	ADJ
ajst-19139	107	17	partners	partner	NOUN
ajst-19139	107	18	.	.	PUNCT
ajst-19139	108	1	given	give	VERB
ajst-19139	108	2	the	the	DET
ajst-19139	108	3	success	success	NOUN
ajst-19139	108	4	of	of	ADP
ajst-19139	108	5	the	the	DET
ajst-19139	108	6	critical	critical	ADJ
ajst-19139	108	7	evaluation	evaluation	NOUN
ajst-19139	108	8	of	of	ADP
ajst-19139	108	9	the	the	DET
ajst-19139	108	10	protein	protein	NOUN
ajst-19139	108	11	structure	structure	NOUN
ajst-19139	108	12	prediction	prediction	NOUN
ajst-19139	108	13	series	series	NOUN
ajst-19139	108	14	,	,	PUNCT
ajst-19139	108	15	a	a	DET
ajst-19139	108	16	similar	similar	ADJ
ajst-19139	108	17	approach	approach	NOUN
ajst-19139	108	18	is	be	AUX
ajst-19139	108	19	encouraged	encourage	VERB
ajst-19139	108	20	to	to	PART
ajst-19139	108	21	address	address	VERB
ajst-19139	108	22	the	the	DET
ajst-19139	108	23	enormous	enormous	ADJ
ajst-19139	108	24	challenge	challenge	NOUN
ajst-19139	108	25	of	of	ADP
ajst-19139	108	26	tcr	tcr	PROPN
ajst-19139	108	27	-	-	PUNCT
ajst-19139	108	28	specific	specific	ADJ
ajst-19139	108	29	inferibility	inferibility	NOUN
ajst-19139	108	30	in	in	ADP
ajst-19139	108	31	the	the	DET
ajst-19139	108	32	short	short	ADJ
ajst-19139	108	33	term	term	NOUN
ajst-19139	108	34	and	and	CCONJ
ajst-19139	108	35	ultimately	ultimately	ADV
ajst-19139	108	36	to	to	PART
ajst-19139	108	37	predict	predict	VERB
ajst-19139	108	38	integrated	integrated	ADJ
ajst-19139	108	39	t	t	NOUN
ajst-19139	108	40	and	and	CCONJ
ajst-19139	108	41	b	b	NOUN
ajst-19139	108	42	cell	cell	NOUN
ajst-19139	108	43	immunogenicity	immunogenicity	NOUN
ajst-19139	108	44	.	.	PUNCT
ajst-19139	109	1	competing	compete	VERB
ajst-19139	109	2	models	model	NOUN
ajst-19139	109	3	should	should	AUX
ajst-19139	109	4	be	be	AUX
ajst-19139	109	5	made	make	VERB
ajst-19139	109	6	available	available	ADJ
ajst-19139	109	7	for	for	ADP
ajst-19139	109	8	research	research	NOUN
ajst-19139	109	9	based	base	VERB
ajst-19139	109	10	on	on	ADP
ajst-19139	109	11	commendable	commendable	ADJ
ajst-19139	109	12	cases	case	NOUN
ajst-19139	109	13	in	in	ADP
ajst-19139	109	14	protein	protein	NOUN
ajst-19139	109	15	structure	structure	NOUN
ajst-19139	109	16	prediction	prediction	NOUN
ajst-19139	109	17	.	.	PUNCT
ajst-19139	110	1	acknowledgment	acknowledgment	NOUN
ajst-19139	110	2	at	at	ADP
ajst-19139	110	3	the	the	DET
ajst-19139	110	4	end	end	NOUN
ajst-19139	110	5	of	of	ADP
ajst-19139	110	6	the	the	DET
ajst-19139	110	7	article	article	NOUN
ajst-19139	110	8	,	,	PUNCT
ajst-19139	110	9	i	i	PRON
ajst-19139	110	10	want	want	VERB
ajst-19139	110	11	to	to	PART
ajst-19139	110	12	thank	thank	VERB
ajst-19139	110	13	him	he	PRON
ajst-19139	110	14	from	from	ADP
ajst-19139	110	15	the	the	DET
ajst-19139	110	16	bottom	bottom	NOUN
ajst-19139	110	17	of	of	ADP
ajst-19139	110	18	my	my	PRON
ajst-19139	110	19	heart	heart	NOUN
ajst-19139	110	20	,	,	PUNCT
ajst-19139	111	1	zheng	zheng	PROPN
ajst-19139	111	2	et	et	PROPN
ajst-19139	111	3	al	al	PROPN
ajst-19139	111	4	.	.	PROPN
ajst-19139	111	5	,	,	PUNCT
ajst-19139	111	6	application	application	NOUN
ajst-19139	111	7	of	of	ADP
ajst-19139	111	8	k	k	PROPN
ajst-19139	111	9	-	-	PUNCT
ajst-19139	111	10	means	means	NOUN
ajst-19139	111	11	clustering	clustering	NOUN
ajst-19139	111	12	based	base	VERB
ajst-19139	111	13	on	on	ADP
ajst-19139	111	14	artificial	artificial	ADJ
ajst-19139	111	15	intelligence	intelligence	NOUN
ajst-19139	111	16	in	in	ADP
ajst-19139	111	17	gene	gene	NOUN
ajst-19139	111	18	statistics	statistic	NOUN
ajst-19139	111	19	of	of	ADP
ajst-19139	111	20	biological	biological	ADJ
ajst-19139	111	21	information	information	NOUN
ajst-19139	111	22	the	the	DET
ajst-19139	111	23	outstanding	outstanding	ADJ
ajst-19139	111	24	work	work	NOUN
ajst-19139	111	25	presented	present	VERB
ajst-19139	111	26	in	in	ADP
ajst-19139	111	27	the	the	DET
ajst-19139	111	28	article	article	NOUN
ajst-19139	111	29	"	"	PUNCT
ajst-19139	111	30	engineering	engineering	NOUN
ajst-19139	111	31	"	"	PUNCT
ajst-19139	111	32	.	.	PUNCT
ajst-19139	112	1	their	their	PRON
ajst-19139	112	2	research	research	NOUN
ajst-19139	112	3	provides	provide	VERB
ajst-19139	112	4	profound	profound	ADJ
ajst-19139	112	5	inspiration	inspiration	NOUN
ajst-19139	112	6	and	and	CCONJ
ajst-19139	112	7	important	important	ADJ
ajst-19139	112	8	reference	reference	NOUN
ajst-19139	112	9	basis	basis	NOUN
ajst-19139	112	10	for	for	ADP
ajst-19139	112	11	this	this	DET
ajst-19139	112	12	paper	paper	NOUN
ajst-19139	112	13	,	,	PUNCT
ajst-19139	112	14	and	and	CCONJ
ajst-19139	112	15	deepens	deepen	VERB
ajst-19139	112	16	our	our	PRON
ajst-19139	112	17	understanding	understanding	NOUN
ajst-19139	112	18	of	of	ADP
ajst-19139	112	19	artificial	artificial	ADJ
ajst-19139	112	20	intelligence	intelligence	NOUN
ajst-19139	112	21	,	,	PUNCT
ajst-19139	112	22	biological	biological	ADJ
ajst-19139	112	23	monitoring	monitoring	NOUN
ajst-19139	112	24	,	,	PUNCT
ajst-19139	112	25	cell	cell	NOUN
ajst-19139	112	26	prediction	prediction	NOUN
ajst-19139	112	27	and	and	CCONJ
ajst-19139	112	28	other	other	ADJ
ajst-19139	112	29	fields	field	NOUN
ajst-19139	112	30	.	.	PUNCT
ajst-19139	113	1	in	in	ADP
ajst-19139	113	2	particular	particular	ADJ
ajst-19139	113	3	,	,	PUNCT
ajst-19139	113	4	the	the	DET
ajst-19139	113	5	study	study	NOUN
ajst-19139	113	6	has	have	AUX
ajst-19139	113	7	made	make	VERB
ajst-19139	113	8	significant	significant	ADJ
ajst-19139	113	9	progress	progress	NOUN
ajst-19139	113	10	in	in	ADP
ajst-19139	113	11	the	the	DET
ajst-19139	113	12	field	field	NOUN
ajst-19139	113	13	of	of	ADP
ajst-19139	113	14	genetic	genetic	ADJ
ajst-19139	113	15	statistics	statistic	NOUN
ajst-19139	113	16	and	and	CCONJ
ajst-19139	113	17	bioinformation	bioinformation	NOUN
ajst-19139	113	18	engineering	engineering	NOUN
ajst-19139	113	19	using	use	VERB
ajst-19139	113	20	the	the	DET
ajst-19139	113	21	k	k	NOUN
ajst-19139	113	22	-	-	PUNCT
ajst-19139	113	23	means	mean	VERB
ajst-19139	113	24	clustering	clustering	ADJ
ajst-19139	113	25	algorithm	algorithm	NOUN
ajst-19139	113	26	,	,	PUNCT
ajst-19139	113	27	which	which	PRON
ajst-19139	113	28	provides	provide	VERB
ajst-19139	113	29	valuable	valuable	ADJ
ajst-19139	113	30	empirical	empirical	ADJ
ajst-19139	113	31	support	support	NOUN
ajst-19139	113	32	for	for	ADP
ajst-19139	113	33	the	the	DET
ajst-19139	113	34	related	related	ADJ
ajst-19139	113	35	topics	topic	NOUN
ajst-19139	113	36	we	we	PRON
ajst-19139	113	37	explore	explore	VERB
ajst-19139	113	38	in	in	ADP
ajst-19139	113	39	the	the	DET
ajst-19139	113	40	paper	paper	NOUN
ajst-19139	113	41	.	.	PUNCT
ajst-19139	114	1	their	their	PRON
ajst-19139	114	2	work	work	NOUN
ajst-19139	114	3	not	not	PART
ajst-19139	114	4	only	only	ADV
ajst-19139	114	5	enriches	enrich	VERB
ajst-19139	114	6	the	the	DET
ajst-19139	114	7	academic	academic	ADJ
ajst-19139	114	8	community	community	NOUN
ajst-19139	114	9	's	's	PART
ajst-19139	114	10	understanding	understanding	NOUN
ajst-19139	114	11	of	of	ADP
ajst-19139	114	12	the	the	DET
ajst-19139	114	13	application	application	NOUN
ajst-19139	114	14	of	of	ADP
ajst-19139	114	15	artificial	artificial	ADJ
ajst-19139	114	16	intelligence	intelligence	NOUN
ajst-19139	114	17	in	in	ADP
ajst-19139	114	18	the	the	DET
ajst-19139	114	19	biomedical	biomedical	ADJ
ajst-19139	114	20	field	field	NOUN
ajst-19139	114	21	,	,	PUNCT
ajst-19139	114	22	but	but	CCONJ
ajst-19139	114	23	also	also	ADV
ajst-19139	114	24	provides	provide	VERB
ajst-19139	114	25	us	we	PRON
ajst-19139	114	26	with	with	ADP
ajst-19139	114	27	new	new	ADJ
ajst-19139	114	28	ideas	idea	NOUN
ajst-19139	114	29	and	and	CCONJ
ajst-19139	114	30	methods	method	NOUN
ajst-19139	114	31	for	for	ADP
ajst-19139	114	32	interdisciplinary	interdisciplinary	ADJ
ajst-19139	114	33	research	research	NOUN
ajst-19139	114	34	.	.	PUNCT
ajst-19139	115	1	in	in	ADP
ajst-19139	115	2	addition	addition	NOUN
ajst-19139	115	3	to	to	ADP
ajst-19139	115	4	thanking	thank	VERB
ajst-19139	115	5	he	he	PRON
ajst-19139	115	6	,	,	PUNCT
ajst-19139	115	7	zheng	zheng	PROPN
ajst-19139	115	8	and	and	CCONJ
ajst-19139	115	9	others	other	NOUN
ajst-19139	115	10	for	for	ADP
ajst-19139	115	11	their	their	PRON
ajst-19139	115	12	research	research	NOUN
ajst-19139	115	13	,	,	PUNCT
ajst-19139	115	14	i	i	PRON
ajst-19139	115	15	would	would	AUX
ajst-19139	115	16	like	like	VERB
ajst-19139	115	17	to	to	PART
ajst-19139	115	18	especially	especially	ADV
ajst-19139	115	19	thank	thank	VERB
ajst-19139	115	20	the	the	DET
ajst-19139	115	21	author	author	NOUN
ajst-19139	115	22	of	of	ADP
ajst-19139	115	23	this	this	DET
ajst-19139	115	24	paper	paper	NOUN
ajst-19139	115	25	,	,	PUNCT
ajst-19139	115	26	whose	whose	DET
ajst-19139	115	27	professional	professional	ADJ
ajst-19139	115	28	guidance	guidance	NOUN
ajst-19139	115	29	and	and	CCONJ
ajst-19139	115	30	support	support	NOUN
ajst-19139	115	31	have	have	AUX
ajst-19139	115	32	played	play	VERB
ajst-19139	115	33	a	a	DET
ajst-19139	115	34	key	key	ADJ
ajst-19139	115	35	role	role	NOUN
ajst-19139	115	36	in	in	ADP
ajst-19139	115	37	our	our	PRON
ajst-19139	115	38	research	research	NOUN
ajst-19139	115	39	work	work	NOUN
ajst-19139	115	40	.	.	PUNCT
ajst-19139	116	1	throughout	throughout	ADP
ajst-19139	116	2	the	the	DET
ajst-19139	116	3	research	research	NOUN
ajst-19139	116	4	process	process	NOUN
ajst-19139	116	5	,	,	PUNCT
ajst-19139	116	6	their	their	PRON
ajst-19139	116	7	advice	advice	NOUN
ajst-19139	116	8	and	and	CCONJ
ajst-19139	116	9	insights	insight	NOUN
ajst-19139	116	10	have	have	AUX
ajst-19139	116	11	provided	provide	VERB
ajst-19139	116	12	us	we	PRON
ajst-19139	116	13	with	with	ADP
ajst-19139	116	14	valuable	valuable	ADJ
ajst-19139	116	15	guidance	guidance	NOUN
ajst-19139	116	16	and	and	CCONJ
ajst-19139	116	17	helped	help	VERB
ajst-19139	116	18	us	we	PRON
ajst-19139	116	19	overcome	overcome	VERB
ajst-19139	116	20	many	many	ADJ
ajst-19139	116	21	difficulties	difficulty	NOUN
ajst-19139	116	22	references	reference	NOUN
ajst-19139	116	23	[	[	X
ajst-19139	116	24	1	1	NUM
ajst-19139	116	25	]	]	PUNCT
ajst-19139	116	26	“	"	PUNCT
ajst-19139	116	27	unveiling	unveil	VERB
ajst-19139	116	28	the	the	DET
ajst-19139	116	29	future	future	NOUN
ajst-19139	116	30	navigating	navigate	VERB
ajst-19139	116	31	next	next	ADJ
ajst-19139	116	32	-	-	PUNCT
ajst-19139	116	33	generation	generation	NOUN
ajst-19139	116	34	ai	ai	PROPN
ajst-19139	116	35	frontiers	frontier	NOUN
ajst-19139	116	36	and	and	CCONJ
ajst-19139	116	37	innovations	innovation	NOUN
ajst-19139	116	38	in	in	ADP
ajst-19139	116	39	application	application	NOUN
ajst-19139	116	40	”	"	PUNCT
ajst-19139	116	41	.	.	PUNCT
ajst-19139	117	1	international	international	ADJ
ajst-19139	117	2	journal	journal	PROPN
ajst-19139	117	3	of	of	ADP
ajst-19139	117	4	computer	computer	NOUN
ajst-19139	117	5	science	science	NOUN
ajst-19139	117	6	and	and	CCONJ
ajst-19139	117	7	information	information	NOUN
ajst-19139	117	8	technology	technology	NOUN
ajst-19139	117	9	,	,	PUNCT
ajst-19139	117	10	vol	vol	NOUN
ajst-19139	117	11	.	.	PROPN
ajst-19139	117	12	1	1	NUM
ajst-19139	117	13	,	,	PUNCT
ajst-19139	117	14	no	no	INTJ
ajst-19139	117	15	.	.	NOUN
ajst-19139	117	16	1	1	NUM
ajst-19139	117	17	,	,	PUNCT
ajst-19139	117	18	dec	dec	PROPN
ajst-19139	117	19	.	.	PROPN
ajst-19139	117	20	2023	2023	NUM
ajst-19139	117	21	,	,	PUNCT
ajst-19139	117	22	pp	pp	ADJ
ajst-19139	117	23	.	.	PUNCT
ajst-19139	118	1	147	147	NUM
ajst-19139	118	2	-	-	SYM
ajst-19139	118	3	56	56	NUM
ajst-19139	118	4	,	,	PUNCT
ajst-19139	118	5	https://doi.org/10.62051/ijcsit.v1n1.20	https://doi.org/10.62051/ijcsit.v1n1.20	NOUN
ajst-19139	118	6	.	.	PUNCT
ajst-19139	119	1	[	[	X
ajst-19139	119	2	2	2	NUM
ajst-19139	119	3	]	]	X
ajst-19139	119	4	chen	chen	PROPN
ajst-19139	119	5	,	,	PUNCT
ajst-19139	119	6	wangmei	wangmei	PROPN
ajst-19139	119	7	,	,	PUNCT
ajst-19139	119	8	et	et	PROPN
ajst-19139	119	9	al	al	PROPN
ajst-19139	119	10	.	.	PUNCT
ajst-19139	120	1	“	"	PUNCT
ajst-19139	120	2	applying	apply	VERB
ajst-19139	120	3	machine	machine	NOUN
ajst-19139	120	4	learning	learn	VERB
ajst-19139	120	5	algorithm	algorithm	NOUN
ajst-19139	120	6	to	to	PART
ajst-19139	120	7	optimize	optimize	VERB
ajst-19139	120	8	personalized	personalize	VERB
ajst-19139	120	9	education	education	NOUN
ajst-19139	120	10	recommendation	recommendation	NOUN
ajst-19139	120	11	system	system	NOUN
ajst-19139	120	12	”	"	PUNCT
ajst-19139	120	13	.	.	PUNCT
ajst-19139	121	1	journal	journal	PROPN
ajst-19139	121	2	of	of	ADP
ajst-19139	121	3	theory	theory	NOUN
ajst-19139	121	4	and	and	CCONJ
ajst-19139	121	5	practice	practice	NOUN
ajst-19139	121	6	of	of	ADP
ajst-19139	121	7	engineering	engineering	NOUN
ajst-19139	121	8	science	science	NOUN
ajst-19139	121	9	,	,	PUNCT
ajst-19139	121	10	vol	vol	NOUN
ajst-19139	121	11	.	.	PROPN
ajst-19139	121	12	4	4	NUM
ajst-19139	121	13	,	,	PUNCT
ajst-19139	121	14	no	no	INTJ
ajst-19139	121	15	.	.	NOUN
ajst-19139	121	16	01	01	NUM
ajst-19139	121	17	,	,	PUNCT
ajst-19139	121	18	feb	feb	PROPN
ajst-19139	121	19	.	.	PROPN
ajst-19139	121	20	2024	2024	NUM
ajst-19139	121	21	,	,	PUNCT
ajst-19139	121	22	pp	pp	ADV
ajst-19139	121	23	.	.	PUNCT
ajst-19139	122	1	101	101	NUM
ajst-19139	122	2	-	-	SYM
ajst-19139	122	3	8	8	NUM
ajst-19139	122	4	,	,	PUNCT
ajst-19139	122	5	doi:10.53469	doi:10.53469	X
ajst-19139	122	6	/	/	SYM
ajst-19139	122	7	jtpes.2024.04(01).14	jtpes.2024.04(01).14	NOUN
ajst-19139	122	8	.	.	PUNCT
ajst-19139	123	1	[	[	X
ajst-19139	123	2	3	3	X
ajst-19139	123	3	]	]	X
ajst-19139	123	4	h.	h.	PROPN
ajst-19139	123	5	zhu	zhu	PROPN
ajst-19139	123	6	and	and	CCONJ
ajst-19139	123	7	b.	b.	PROPN
ajst-19139	123	8	wang	wang	PROPN
ajst-19139	123	9	,	,	PUNCT
ajst-19139	123	10	"	"	PUNCT
ajst-19139	123	11	negative	negative	ADJ
ajst-19139	123	12	siamese	siamese	ADJ
ajst-19139	123	13	network	network	NOUN
ajst-19139	123	14	for	for	ADP
ajst-19139	123	15	classifying	classify	VERB
ajst-19139	123	16	semantically	semantically	ADV
ajst-19139	123	17	similar	similar	ADJ
ajst-19139	123	18	sentences	sentence	NOUN
ajst-19139	123	19	,	,	PUNCT
ajst-19139	123	20	"	"	PUNCT
ajst-19139	123	21	2021	2021	NUM
ajst-19139	123	22	international	international	ADJ
ajst-19139	123	23	conference	conference	NOUN
ajst-19139	123	24	on	on	ADP
ajst-19139	123	25	asian	asian	ADJ
ajst-19139	123	26	language	language	NOUN
ajst-19139	123	27	processing	processing	NOUN
ajst-19139	123	28	(	(	PUNCT
ajst-19139	123	29	ialp	ialp	PROPN
ajst-19139	123	30	)	)	PUNCT
ajst-19139	123	31	,	,	PUNCT
ajst-19139	123	32	singapore	singapore	PROPN
ajst-19139	123	33	,	,	PUNCT
ajst-19139	123	34	singapore	singapore	PROPN
ajst-19139	123	35	,	,	PUNCT
ajst-19139	123	36	2021	2021	NUM
ajst-19139	123	37	,	,	PUNCT
ajst-19139	123	38	pp	pp	ADV
ajst-19139	123	39	.	.	PUNCT
ajst-19139	124	1	170	170	NUM
ajst-19139	124	2	-	-	SYM
ajst-19139	124	3	173	173	NUM
ajst-19139	124	4	,	,	PUNCT
ajst-19139	124	5	doi	doi	NOUN
ajst-19139	124	6	:	:	PUNCT
ajst-19139	124	7	10.1109	10.1109	NUM
ajst-19139	124	8	/	/	SYM
ajst-19139	124	9	ialp54817.2021.9675278	ialp54817.2021.9675278	NOUN
ajst-19139	124	10	.	.	PUNCT
ajst-19139	125	1	[	[	X
ajst-19139	125	2	4	4	X
ajst-19139	125	3	]	]	PUNCT
ajst-19139	125	4	“	"	PUNCT
ajst-19139	125	5	the	the	DET
ajst-19139	125	6	application	application	NOUN
ajst-19139	125	7	of	of	ADP
ajst-19139	125	8	artificial	artificial	ADJ
ajst-19139	125	9	intelligence	intelligence	NOUN
ajst-19139	125	10	in	in	ADP
ajst-19139	125	11	medical	medical	ADJ
ajst-19139	125	12	diagnostics	diagnostic	NOUN
ajst-19139	125	13	:	:	PUNCT
ajst-19139	125	14	a	a	DET
ajst-19139	125	15	new	new	ADJ
ajst-19139	125	16	frontier	frontier	NOUN
ajst-19139	125	17	”	"	PUNCT
ajst-19139	125	18	.	.	PUNCT
ajst-19139	126	1	academic	academic	ADJ
ajst-19139	126	2	journal	journal	NOUN
ajst-19139	126	3	of	of	ADP
ajst-19139	126	4	science	science	NOUN
ajst-19139	126	5	and	and	CCONJ
ajst-19139	126	6	technology	technology	NOUN
ajst-19139	126	7	,	,	PUNCT
ajst-19139	126	8	vol	vol	NOUN
ajst-19139	126	9	.	.	PROPN
ajst-19139	126	10	8	8	NUM
ajst-19139	126	11	,	,	PUNCT
ajst-19139	126	12	no	no	INTJ
ajst-19139	126	13	.	.	NOUN
ajst-19139	126	14	2	2	NUM
ajst-19139	126	15	,	,	PUNCT
ajst-19139	126	16	dec	dec	PROPN
ajst-19139	126	17	.	.	PROPN
ajst-19139	126	18	2023	2023	NUM
ajst-19139	126	19	,	,	PUNCT
ajst-19139	126	20	pp	pp	ADJ
ajst-19139	126	21	.	.	PUNCT
ajst-19139	127	1	57	57	NUM
ajst-19139	127	2	-	-	SYM
ajst-19139	127	3	61	61	NUM
ajst-19139	127	4	,	,	PUNCT
ajst-19139	127	5	https://doi.org/10.54097/ajst.v8i2.14945	https://doi.org/10.54097/ajst.v8i2.14945	PROPN
ajst-19139	127	6	.	.	PUNCT
ajst-19139	128	1	[	[	X
ajst-19139	128	2	5	5	NUM
ajst-19139	128	3	]	]	X
ajst-19139	128	4	wei	wei	PROPN
ajst-19139	128	5	,	,	PUNCT
ajst-19139	128	6	kuo	kuo	PROPN
ajst-19139	128	7	,	,	PUNCT
ajst-19139	128	8	et	et	PROPN
ajst-19139	128	9	al	al	PROPN
ajst-19139	128	10	.	.	PUNCT
ajst-19139	128	11	“	"	PUNCT
ajst-19139	128	12	strategic	strategic	ADJ
ajst-19139	128	13	application	application	NOUN
ajst-19139	128	14	of	of	ADP
ajst-19139	128	15	ai	ai	PRON
ajst-19139	128	16	intelligent	intelligent	ADJ
ajst-19139	128	17	algorithm	algorithm	NOUN
ajst-19139	128	18	in	in	ADP
ajst-19139	128	19	network	network	NOUN
ajst-19139	128	20	threat	threat	NOUN
ajst-19139	128	21	detection	detection	NOUN
ajst-19139	128	22	and	and	CCONJ
ajst-19139	128	23	defense	defense	NOUN
ajst-19139	128	24	”	"	PUNCT
ajst-19139	128	25	.	.	PUNCT
ajst-19139	129	1	journal	journal	PROPN
ajst-19139	129	2	of	of	ADP
ajst-19139	129	3	theory	theory	NOUN
ajst-19139	129	4	and	and	CCONJ
ajst-19139	129	5	practice	practice	NOUN
ajst-19139	129	6	of	of	ADP
ajst-19139	129	7	engineering	engineering	NOUN
ajst-19139	129	8	science	science	NOUN
ajst-19139	129	9	,	,	PUNCT
ajst-19139	129	10	vol	vol	NOUN
ajst-19139	129	11	.	.	PROPN
ajst-19139	129	12	4	4	NUM
ajst-19139	129	13	,	,	PUNCT
ajst-19139	129	14	no	no	INTJ
ajst-19139	129	15	.	.	NOUN
ajst-19139	129	16	01	01	NUM
ajst-19139	129	17	,	,	PUNCT
ajst-19139	129	18	jan	jan	PROPN
ajst-19139	129	19	.	.	PROPN
ajst-19139	129	20	2024	2024	NUM
ajst-19139	129	21	,	,	PUNCT
ajst-19139	129	22	pp	pp	ADV
ajst-19139	129	23	.	.	PUNCT
ajst-19139	130	1	49	49	NUM
ajst-19139	130	2	-	-	SYM
ajst-19139	130	3	57	57	NUM
ajst-19139	130	4	,	,	PUNCT
ajst-19139	130	5	doi:10.53469	doi:10.53469	NOUN
ajst-19139	130	6	/	/	SYM
ajst-19139	130	7	jtpes.2024.04(01).07	jtpes.2024.04(01).07	NOUN
ajst-19139	130	8	.	.	PUNCT
ajst-19139	131	1	[	[	X
ajst-19139	131	2	6	6	NUM
ajst-19139	131	3	]	]	PUNCT
ajst-19139	131	4	he	he	PRON
ajst-19139	131	5	,	,	PUNCT
ajst-19139	131	6	zheng	zheng	PROPN
ajst-19139	131	7	&	&	CCONJ
ajst-19139	131	8	shen	shen	PROPN
ajst-19139	131	9	,	,	PUNCT
ajst-19139	131	10	xinyu	xinyu	PROPN
ajst-19139	131	11	&	&	CCONJ
ajst-19139	131	12	zhou	zhou	PROPN
ajst-19139	131	13	,	,	PUNCT
ajst-19139	131	14	yanlin	yanlin	PROPN
ajst-19139	131	15	&	&	CCONJ
ajst-19139	131	16	wang	wang	PROPN
ajst-19139	131	17	,	,	PUNCT
ajst-19139	131	18	yong	yong	PROPN
ajst-19139	131	19	.	.	PUNCT
ajst-19139	132	1	(	(	PUNCT
ajst-19139	132	2	2024	2024	NUM
ajst-19139	132	3	)	)	PUNCT
ajst-19139	132	4	.	.	PUNCT
ajst-19139	133	1	application	application	NOUN
ajst-19139	133	2	of	of	ADP
ajst-19139	133	3	k	k	PROPN
ajst-19139	133	4	-	-	PUNCT
ajst-19139	133	5	means	means	NOUN
ajst-19139	133	6	clustering	clustering	NOUN
ajst-19139	133	7	based	base	VERB
ajst-19139	133	8	on	on	ADP
ajst-19139	133	9	artificial	artificial	ADJ
ajst-19139	133	10	intelligence	intelligence	NOUN
ajst-19139	133	11	in	in	ADP
ajst-19139	133	12	gene	gene	NOUN
ajst-19139	133	13	statistics	statistic	NOUN
ajst-19139	133	14	of	of	ADP
ajst-19139	133	15	biological	biological	ADJ
ajst-19139	133	16	information	information	NOUN
ajst-19139	133	17	engineering	engineering	NOUN
ajst-19139	133	18	.	.	PUNCT
ajst-19139	134	1	10.13140	10.13140	NUM
ajst-19139	134	2	/	/	SYM
ajst-19139	134	3	rg.2.2.11207.47527	rg.2.2.11207.47527	NUM
ajst-19139	134	4	.	.	PUNCT
ajst-19139	135	1	[	[	X
ajst-19139	135	2	7	7	NUM
ajst-19139	135	3	]	]	X
ajst-19139	135	4	pan	pan	NOUN
ajst-19139	135	5	,	,	PUNCT
ajst-19139	135	6	linying	linying	NOUN
ajst-19139	135	7	&	&	CCONJ
ajst-19139	135	8	xu	xu	PROPN
ajst-19139	135	9	,	,	PUNCT
ajst-19139	135	10	jingyu	jingyu	PROPN
ajst-19139	135	11	&	&	CCONJ
ajst-19139	135	12	wan	wan	PROPN
ajst-19139	135	13	,	,	PUNCT
ajst-19139	135	14	weixiang	weixiang	PROPN
ajst-19139	135	15	&	&	CCONJ
ajst-19139	135	16	zeng	zeng	PROPN
ajst-19139	135	17	,	,	PUNCT
ajst-19139	135	18	qiang	qiang	PROPN
ajst-19139	135	19	.	.	PUNCT
ajst-19139	135	20	(	(	PUNCT
ajst-19139	135	21	2024	2024	NUM
ajst-19139	135	22	)	)	PUNCT
ajst-19139	135	23	.	.	PUNCT
ajst-19139	136	1	combine	combine	VERB
ajst-19139	136	2	deep	deep	ADJ
ajst-19139	136	3	learning	learning	NOUN
ajst-19139	136	4	and	and	CCONJ
ajst-19139	136	5	artificial	artificial	ADJ
ajst-19139	136	6	intelligence	intelligence	NOUN
ajst-19139	136	7	to	to	PART
ajst-19139	136	8	optimize	optimize	VERB
ajst-19139	136	9	the	the	DET
ajst-19139	136	10	application	application	NOUN
ajst-19139	136	11	path	path	NOUN
ajst-19139	136	12	of	of	ADP
ajst-19139	136	13	digital	digital	ADJ
ajst-19139	136	14	image	image	NOUN
ajst-19139	136	15	processing	processing	NOUN
ajst-19139	136	16	technology	technology	NOUN
ajst-19139	136	17	.	.	PUNCT
ajst-19139	137	1	[	[	X
ajst-19139	137	2	8	8	NUM
ajst-19139	137	3	]	]	X
ajst-19139	137	4	duan	duan	PROPN
ajst-19139	137	5	,	,	PUNCT
ajst-19139	137	6	shiheng	shiheng	PROPN
ajst-19139	137	7	,	,	PUNCT
ajst-19139	137	8	et	et	PROPN
ajst-19139	137	9	al	al	PROPN
ajst-19139	137	10	.	.	PUNCT
ajst-19139	138	1	"	"	PUNCT
ajst-19139	138	2	the	the	DET
ajst-19139	138	3	innovative	innovative	ADJ
ajst-19139	138	4	model	model	NOUN
ajst-19139	138	5	of	of	ADP
ajst-19139	138	6	artificial	artificial	ADJ
ajst-19139	138	7	intelligence	intelligence	NOUN
ajst-19139	138	8	computer	computer	NOUN
ajst-19139	138	9	education	education	NOUN
ajst-19139	138	10	under	under	ADP
ajst-19139	138	11	the	the	DET
ajst-19139	138	12	background	background	NOUN
ajst-19139	138	13	of	of	ADP
ajst-19139	138	14	educational	educational	ADJ
ajst-19139	138	15	innovation	innovation	NOUN
ajst-19139	138	16	.	.	PUNCT
ajst-19139	138	17	"	"	PUNCT
ajst-19139	139	1	the	the	DET
ajst-19139	139	2	2nd	2nd	ADJ
ajst-19139	139	3	international	international	ADJ
ajst-19139	139	4	scientific	scientific	ADJ
ajst-19139	139	5	and	and	CCONJ
ajst-19139	139	6	practical	practical	ADJ
ajst-19139	139	7	conference	conference	NOUN
ajst-19139	139	8	“	"	PUNCT
ajst-19139	139	9	innovations	innovation	NOUN
ajst-19139	139	10	in	in	ADP
ajst-19139	139	11	education	education	NOUN
ajst-19139	139	12	:	:	PUNCT
ajst-19139	139	13	prospects	prospect	NOUN
ajst-19139	139	14	and	and	CCONJ
ajst-19139	139	15	challenges	challenge	NOUN
ajst-19139	139	16	of	of	ADP
ajst-19139	139	17	today”(january	today”(january	PROPN
ajst-19139	139	18	16	16	NUM
ajst-19139	139	19	-	-	SYM
ajst-19139	139	20	19	19	NUM
ajst-19139	139	21	,	,	PUNCT
ajst-19139	139	22	2024	2024	NUM
ajst-19139	139	23	)	)	PUNCT
ajst-19139	139	24	sofia	sofia	PROPN
ajst-19139	139	25	,	,	PUNCT
ajst-19139	139	26	bulgaria	bulgaria	PROPN
ajst-19139	139	27	.	.	PUNCT
ajst-19139	139	28	international	international	ADJ
ajst-19139	139	29	science	science	PROPN
ajst-19139	139	30	group	group	NOUN
ajst-19139	139	31	.	.	PUNCT
ajst-19139	139	32	2024	2024	NUM
ajst-19139	139	33	.	.	PUNCT
ajst-19139	140	1	389	389	NUM
ajst-19139	140	2	p	p	NOUN
ajst-19139	140	3	..	..	X
ajst-19139	140	4	2024	2024	NUM
ajst-19139	140	5	.	.	PUNCT
ajst-19139	141	1	[	[	X
ajst-19139	141	2	9	9	NUM
ajst-19139	141	3	]	]	X
ajst-19139	141	4	wan	wan	PROPN
ajst-19139	141	5	,	,	PUNCT
ajst-19139	141	6	weixiang	weixiang	PROPN
ajst-19139	141	7	&	&	CCONJ
ajst-19139	141	8	sun	sun	PROPN
ajst-19139	141	9	,	,	PUNCT
ajst-19139	141	10	wenjian	wenjian	PROPN
ajst-19139	141	11	&	&	CCONJ
ajst-19139	141	12	zeng	zeng	PROPN
ajst-19139	141	13	,	,	PUNCT
ajst-19139	141	14	qiang	qiang	PROPN
ajst-19139	141	15	&	&	CCONJ
ajst-19139	141	16	pan	pan	PROPN
ajst-19139	141	17	,	,	PUNCT
ajst-19139	141	18	linying	linying	NOUN
ajst-19139	141	19	&	&	CCONJ
ajst-19139	141	20	xu	xu	PROPN
ajst-19139	141	21	,	,	PUNCT
ajst-19139	141	22	jingyu	jingyu	PROPN
ajst-19139	141	23	.	.	PUNCT
ajst-19139	142	1	(	(	PUNCT
ajst-19139	142	2	2024	2024	NUM
ajst-19139	142	3	)	)	PUNCT
ajst-19139	142	4	.	.	PUNCT
ajst-19139	143	1	progress	progress	NOUN
ajst-19139	143	2	in	in	ADP
ajst-19139	143	3	artificial	artificial	ADJ
ajst-19139	143	4	intelligence	intelligence	NOUN
ajst-19139	143	5	applications	application	NOUN
ajst-19139	143	6	based	base	VERB
ajst-19139	143	7	on	on	ADP
ajst-19139	143	8	the	the	DET
ajst-19139	143	9	combination	combination	NOUN
ajst-19139	143	10	of	of	ADP
ajst-19139	143	11	self	self	NOUN
ajst-19139	143	12	-	-	PUNCT
ajst-19139	143	13	driven	drive	VERB
ajst-19139	143	14	sensors	sensor	NOUN
ajst-19139	143	15	and	and	CCONJ
ajst-19139	143	16	deep	deep	ADJ
ajst-19139	143	17	learning	learning	NOUN
ajst-19139	143	18	.	.	PUNCT
ajst-19139	144	1	[	[	X
ajst-19139	144	2	10	10	NUM
ajst-19139	144	3	]	]	X
ajst-19139	144	4	sun	sun	NOUN
ajst-19139	144	5	,	,	PUNCT
ajst-19139	144	6	wenjian	wenjian	PROPN
ajst-19139	144	7	&	&	CCONJ
ajst-19139	144	8	xu	xu	PROPN
ajst-19139	144	9	,	,	PUNCT
ajst-19139	144	10	jingyu	jingyu	PROPN
ajst-19139	144	11	&	&	CCONJ
ajst-19139	144	12	pan	pan	PROPN
ajst-19139	144	13	,	,	PUNCT
ajst-19139	144	14	linying	linying	NOUN
ajst-19139	144	15	&	&	CCONJ
ajst-19139	144	16	wan	wan	PROPN
ajst-19139	144	17	,	,	PUNCT
ajst-19139	144	18	weixiang	weixiang	PROPN
ajst-19139	144	19	&	&	CCONJ
ajst-19139	144	20	wang	wang	PROPN
ajst-19139	144	21	,	,	PUNCT
ajst-19139	144	22	yong	yong	PROPN
ajst-19139	144	23	.	.	PUNCT
ajst-19139	145	1	(	(	PUNCT
ajst-19139	145	2	2024	2024	NUM
ajst-19139	145	3	)	)	PUNCT
ajst-19139	145	4	.	.	PUNCT
ajst-19139	146	1	automatic	automatic	ADJ
ajst-19139	146	2	driving	driving	NOUN
ajst-19139	146	3	lane	lane	NOUN
ajst-19139	146	4	change	change	NOUN
ajst-19139	146	5	safety	safety	NOUN
ajst-19139	146	6	prediction	prediction	NOUN
ajst-19139	146	7	model	model	NOUN
ajst-19139	146	8	based	base	VERB
ajst-19139	146	9	on	on	ADP
ajst-19139	146	10	lstm	lstm	PROPN
ajst-19139	146	11	.	.	PUNCT
ajst-19139	147	1	[	[	X
ajst-19139	147	2	11	11	NUM
ajst-19139	147	3	]	]	X
ajst-19139	147	4	qian	qian	PROPN
ajst-19139	147	5	,	,	PUNCT
ajst-19139	147	6	wenpin	wenpin	PROPN
ajst-19139	147	7	,	,	PUNCT
ajst-19139	147	8	et	et	PROPN
ajst-19139	147	9	al	al	PROPN
ajst-19139	147	10	.	.	PUNCT
ajst-19139	148	1	"	"	PUNCT
ajst-19139	148	2	next	next	ADJ
ajst-19139	148	3	-	-	PUNCT
ajst-19139	148	4	generation	generation	NOUN
ajst-19139	148	5	artificial	artificial	ADJ
ajst-19139	148	6	intelligence	intelligence	NOUN
ajst-19139	148	7	innovative	innovative	ADJ
ajst-19139	148	8	applications	application	NOUN
ajst-19139	148	9	of	of	ADP
ajst-19139	148	10	large	large	ADJ
ajst-19139	148	11	language	language	NOUN
ajst-19139	148	12	models	model	NOUN
ajst-19139	148	13	and	and	CCONJ
ajst-19139	148	14	new	new	ADJ
ajst-19139	148	15	methods	method	NOUN
ajst-19139	148	16	.	.	PUNCT
ajst-19139	148	17	"	"	PUNCT
ajst-19139	149	1	27	27	NUM
ajst-19139	149	2	old	old	ADJ
ajst-19139	149	3	and	and	CCONJ
ajst-19139	149	4	new	new	ADJ
ajst-19139	149	5	technologies	technology	NOUN
ajst-19139	149	6	of	of	ADP
ajst-19139	149	7	learning	learn	VERB
ajst-19139	149	8	development	development	NOUN
ajst-19139	149	9	in	in	ADP
ajst-19139	149	10	modern	modern	ADJ
ajst-19139	149	11	conditions	condition	NOUN
ajst-19139	149	12	(	(	PUNCT
ajst-19139	149	13	2024	2024	NUM
ajst-19139	149	14	):	):	PUNCT
ajst-19139	149	15	262	262	NUM
ajst-19139	149	16	.	.	PUNCT
ajst-19139	150	1	[	[	X
ajst-19139	150	2	12	12	NUM
ajst-19139	150	3	]	]	X
ajst-19139	150	4	liang	liang	PROPN
ajst-19139	150	5	,	,	PUNCT
ajst-19139	150	6	penghao	penghao	PROPN
ajst-19139	150	7	,	,	PUNCT
ajst-19139	150	8	et	et	PROPN
ajst-19139	150	9	al	al	PROPN
ajst-19139	150	10	.	.	PUNCT
ajst-19139	151	1	"	"	PUNCT
ajst-19139	151	2	enhancing	enhance	VERB
ajst-19139	151	3	security	security	NOUN
ajst-19139	151	4	in	in	ADP
ajst-19139	151	5	devops	devop	NOUN
ajst-19139	151	6	by	by	ADP
ajst-19139	151	7	integrating	integrate	VERB
ajst-19139	151	8	artificial	artificial	ADJ
ajst-19139	151	9	intelligence	intelligence	NOUN
ajst-19139	151	10	and	and	CCONJ
ajst-19139	151	11	machine	machine	NOUN
ajst-19139	151	12	learning	learning	NOUN
ajst-19139	151	13	.	.	PUNCT
ajst-19139	151	14	"	"	PUNCT
ajst-19139	152	1	journal	journal	NOUN
ajst-19139	152	2	of	of	ADP
ajst-19139	152	3	theory	theory	NOUN
ajst-19139	152	4	and	and	CCONJ
ajst-19139	152	5	practice	practice	NOUN
ajst-19139	152	6	of	of	ADP
ajst-19139	152	7	engineering	engineer	VERB
ajst-19139	152	8	science	science	NOUN
ajst-19139	152	9	4.02	4.02	NUM
ajst-19139	152	10	(	(	PUNCT
ajst-19139	152	11	2024	2024	NUM
ajst-19139	152	12	):	):	PUNCT
ajst-19139	152	13	31	31	NUM
ajst-19139	152	14	-	-	SYM
ajst-19139	152	15	37	37	NUM
ajst-19139	152	16	.	.	PUNCT
ajst-19139	153	1	[	[	X
ajst-19139	153	2	13	13	NUM
ajst-19139	153	3	]	]	SYM
ajst-19139	153	4	zhang	zhang	PROPN
ajst-19139	153	5	,	,	PUNCT
ajst-19139	153	6	chenwei	chenwei	PROPN
ajst-19139	153	7	,	,	PUNCT
ajst-19139	153	8	et	et	PROPN
ajst-19139	153	9	al	al	PROPN
ajst-19139	153	10	.	.	PUNCT
ajst-19139	154	1	"	"	PUNCT
ajst-19139	154	2	segnet	segnet	NOUN
ajst-19139	154	3	network	network	NOUN
ajst-19139	154	4	architecture	architecture	NOUN
ajst-19139	154	5	for	for	ADP
ajst-19139	154	6	deep	deep	ADJ
ajst-19139	154	7	learning	learn	VERB
ajst-19139	154	8	image	image	NOUN
ajst-19139	154	9	segmentation	segmentation	NOUN
ajst-19139	154	10	and	and	CCONJ
ajst-19139	154	11	its	its	PRON
ajst-19139	154	12	integrated	integrate	VERB
ajst-19139	154	13	applications	application	NOUN
ajst-19139	154	14	and	and	CCONJ
ajst-19139	154	15	prospects	prospect	NOUN
ajst-19139	154	16	.	.	PUNCT
ajst-19139	154	17	"	"	PUNCT
ajst-19139	155	1	academic	academic	ADJ
ajst-19139	155	2	journal	journal	NOUN
ajst-19139	155	3	of	of	ADP
ajst-19139	155	4	science	science	NOUN
ajst-19139	155	5	and	and	CCONJ
ajst-19139	155	6	technology	technology	NOUN
ajst-19139	155	7	9.2	9.2	NUM
ajst-19139	155	8	(	(	PUNCT
ajst-19139	155	9	2024	2024	NUM
ajst-19139	155	10	):	):	PUNCT
ajst-19139	155	11	224	224	NUM
ajst-19139	155	12	-	-	SYM
ajst-19139	155	13	229	229	NUM
ajst-19139	155	14	.	.	PUNCT
ajst-19139	156	1	[	[	X
ajst-19139	156	2	14	14	NUM
ajst-19139	156	3	]	]	X
ajst-19139	156	4	gong	gong	NOUN
ajst-19139	156	5	,	,	PUNCT
ajst-19139	156	6	yulu	yulu	VERB
ajst-19139	156	7	,	,	PUNCT
ajst-19139	156	8	et	et	PROPN
ajst-19139	156	9	al	al	PROPN
ajst-19139	156	10	.	.	PUNCT
ajst-19139	157	1	"	"	PUNCT
ajst-19139	157	2	research	research	NOUN
ajst-19139	157	3	on	on	ADP
ajst-19139	157	4	a	a	DET
ajst-19139	157	5	multilevel	multilevel	ADJ
ajst-19139	157	6	practical	practical	ADJ
ajst-19139	157	7	teaching	teaching	NOUN
ajst-19139	157	8	system	system	NOUN
ajst-19139	157	9	for	for	ADP
ajst-19139	157	10	the	the	DET
ajst-19139	157	11	course'digital	course'digital	ADJ
ajst-19139	157	12	image	image	NOUN
ajst-19139	157	13	processing	processing	NOUN
ajst-19139	157	14	.	.	PUNCT
ajst-19139	157	15	"	"	PUNCT
ajst-19139	158	1	old	old	ADJ
ajst-19139	158	2	and	and	CCONJ
ajst-19139	158	3	new	new	ADJ
ajst-19139	158	4	technologies	technology	NOUN
ajst-19139	158	5	of	of	ADP
ajst-19139	158	6	learning	learn	VERB
ajst-19139	158	7	development	development	NOUN
ajst-19139	158	8	in	in	ADP
ajst-19139	158	9	modern	modern	ADJ
ajst-19139	158	10	conditions	condition	NOUN
ajst-19139	158	11	(	(	PUNCT
ajst-19139	158	12	2024	2024	NUM
ajst-19139	158	13	):	):	PUNCT
ajst-19139	158	14	272	272	NUM
ajst-19139	158	15	.	.	PUNCT
ajst-19139	159	1	[	[	X
ajst-19139	159	2	15	15	NUM
ajst-19139	159	3	]	]	X
ajst-19139	159	4	wang	wang	PROPN
ajst-19139	159	5	,	,	PUNCT
ajst-19139	159	6	yong	yong	PROPN
ajst-19139	159	7	,	,	PUNCT
ajst-19139	159	8	et	et	PROPN
ajst-19139	159	9	al	al	PROPN
ajst-19139	159	10	.	.	PUNCT
ajst-19139	160	1	"	"	PUNCT
ajst-19139	160	2	autonomous	autonomous	ADJ
ajst-19139	160	3	driving	driving	NOUN
ajst-19139	160	4	system	system	NOUN
ajst-19139	160	5	driven	drive	VERB
ajst-19139	160	6	by	by	ADP
ajst-19139	160	7	artificial	artificial	ADJ
ajst-19139	160	8	intelligence	intelligence	NOUN
ajst-19139	160	9	perception	perception	NOUN
ajst-19139	160	10	fusion	fusion	NOUN
ajst-19139	160	11	.	.	PUNCT
ajst-19139	160	12	"	"	PUNCT
ajst-19139	161	1	academic	academic	ADJ
ajst-19139	161	2	journal	journal	NOUN
ajst-19139	161	3	of	of	ADP
ajst-19139	161	4	science	science	NOUN
ajst-19139	161	5	and	and	CCONJ
ajst-19139	161	6	technology	technology	NOUN
ajst-19139	161	7	9.2	9.2	NUM
ajst-19139	161	8	(	(	PUNCT
ajst-19139	161	9	2024	2024	NUM
ajst-19139	161	10	):	):	PUNCT
ajst-19139	161	11	193	193	NUM
ajst-19139	161	12	-	-	SYM
ajst-19139	161	13	198	198	NUM
ajst-19139	161	14	.	.	PUNCT
ajst-19139	162	1	[	[	X
ajst-19139	162	2	16	16	NUM
ajst-19139	162	3	]	]	X
ajst-19139	162	4	zhenghua	zhenghua	PROPN
ajst-19139	162	5	hu	hu	PROPN
ajst-19139	162	6	,	,	PUNCT
ajst-19139	162	7	xianmei	xianmei	PROPN
ajst-19139	162	8	wang	wang	PROPN
ajst-19139	162	9	,	,	PUNCT
ajst-19139	162	10	kangming	kangme	VERB
ajst-19139	162	11	xu	xu	INTJ
ajst-19139	162	12	,	,	PUNCT
ajst-19139	162	13	and	and	CCONJ
ajst-19139	162	14	pu	pu	PROPN
ajst-19139	162	15	dong	dong	PROPN
ajst-19139	162	16	.	.	PUNCT
ajst-19139	163	1	2020	2020	NUM
ajst-19139	163	2	.	.	PUNCT
ajst-19139	164	1	real	real	ADJ
ajst-19139	164	2	-	-	PUNCT
ajst-19139	164	3	time	time	NOUN
ajst-19139	164	4	target	target	NOUN
ajst-19139	164	5	tracking	tracking	NOUN
ajst-19139	164	6	based	base	VERB
ajst-19139	164	7	on	on	ADP
ajst-19139	164	8	pcanet	pcanet	NOUN
ajst-19139	164	9	-	-	PUNCT
ajst-19139	164	10	csk	csk	NOUN
ajst-19139	164	11	algorithm	algorithm	NOUN
ajst-19139	164	12	.	.	PUNCT
ajst-19139	165	1	in	in	ADP
ajst-19139	165	2	proceedings	proceeding	NOUN
ajst-19139	165	3	of	of	ADP
ajst-19139	165	4	the	the	DET
ajst-19139	165	5	2019	2019	NUM
ajst-19139	165	6	3rd	3rd	ADJ
ajst-19139	165	7	international	international	ADJ
ajst-19139	165	8	conference	conference	NOUN
ajst-19139	165	9	on	on	ADP
ajst-19139	165	10	computer	computer	NOUN
ajst-19139	165	11	science	science	NOUN
ajst-19139	165	12	and	and	CCONJ
ajst-19139	165	13	artificial	artificial	ADJ
ajst-19139	165	14	intelligence	intelligence	NOUN
ajst-19139	165	15	(	(	PUNCT
ajst-19139	165	16	csai	csai	PROPN
ajst-19139	165	17	'	'	NUM
ajst-19139	165	18	19	19	NUM
ajst-19139	165	19	)	)	PUNCT
ajst-19139	165	20	.	.	PUNCT
ajst-19139	166	1	association	association	NOUN
ajst-19139	166	2	for	for	ADP
ajst-19139	166	3	computing	compute	VERB
ajst-19139	166	4	machinery	machinery	NOUN
ajst-19139	166	5	,	,	PUNCT
ajst-19139	166	6	new	new	PROPN
ajst-19139	166	7	york	york	PROPN
ajst-19139	166	8	,	,	PUNCT
ajst-19139	166	9	ny	ny	PROPN
ajst-19139	166	10	,	,	PUNCT
ajst-19139	166	11	usa	usa	PROPN
ajst-19139	166	12	,	,	PUNCT
ajst-19139	166	13	343–346	343–346	NUM
ajst-19139	166	14	.	.	PUNCT
ajst-19139	167	1	https://doi.org/10.1145/3374587.3374607	https://doi.org/10.1145/3374587.3374607	X
ajst-19139	167	2	.	.	PUNCT
ajst-19139	168	1	[	[	X
ajst-19139	168	2	17	17	NUM
ajst-19139	168	3	]	]	X
ajst-19139	168	4	chen	chen	PROPN
ajst-19139	168	5	,	,	PUNCT
ajst-19139	168	6	jianhang	jianhang	PROPN
ajst-19139	168	7	,	,	PUNCT
ajst-19139	168	8	et	et	PROPN
ajst-19139	168	9	al	al	PROPN
ajst-19139	168	10	.	.	PUNCT
ajst-19139	169	1	"	"	PUNCT
ajst-19139	169	2	one	one	NUM
ajst-19139	169	3	-	-	PUNCT
ajst-19139	169	4	stage	stage	NOUN
ajst-19139	169	5	object	object	NOUN
ajst-19139	169	6	referring	refer	VERB
ajst-19139	169	7	with	with	ADP
ajst-19139	169	8	gaze	gaze	NOUN
ajst-19139	169	9	estimation	estimation	NOUN
ajst-19139	169	10	.	.	PUNCT
ajst-19139	169	11	"	"	PUNCT
ajst-19139	170	1	proceedings	proceeding	NOUN
ajst-19139	170	2	of	of	ADP
ajst-19139	170	3	the	the	DET
ajst-19139	170	4	ieee	ieee	NOUN
ajst-19139	170	5	/	/	SYM
ajst-19139	170	6	cvf	cvf	NOUN
ajst-19139	170	7	conference	conference	NOUN
ajst-19139	170	8	on	on	ADP
ajst-19139	170	9	computer	computer	NOUN
ajst-19139	170	10	vision	vision	NOUN
ajst-19139	170	11	and	and	CCONJ
ajst-19139	170	12	pattern	pattern	NOUN
ajst-19139	170	13	recognition	recognition	NOUN
ajst-19139	170	14	.	.	PUNCT
ajst-19139	171	1	2022	2022	NUM
ajst-19139	171	2	.	.	PUNCT
ajst-19139	172	1	[	[	X
ajst-19139	172	2	18	18	NUM
ajst-19139	172	3	]	]	X
ajst-19139	172	4	zhang	zhang	PROPN
ajst-19139	172	5	,	,	PUNCT
ajst-19139	172	6	quan	quan	PROPN
ajst-19139	172	7	,	,	PUNCT
ajst-19139	172	8	et	et	PROPN
ajst-19139	172	9	al	al	PROPN
ajst-19139	172	10	.	.	PUNCT
ajst-19139	173	1	"	"	PUNCT
ajst-19139	173	2	application	application	NOUN
ajst-19139	173	3	of	of	ADP
ajst-19139	173	4	the	the	DET
ajst-19139	173	5	alphafold2	alphafold2	ADJ
ajst-19139	173	6	protein	protein	NOUN
ajst-19139	173	7	prediction	prediction	NOUN
ajst-19139	173	8	algorithm	algorithm	NOUN
ajst-19139	173	9	based	base	VERB
ajst-19139	173	10	on	on	ADP
ajst-19139	173	11	artificial	artificial	ADJ
ajst-19139	173	12	intelligence	intelligence	NOUN
ajst-19139	173	13	.	.	PUNCT
ajst-19139	173	14	"	"	PUNCT
ajst-19139	174	1	journal	journal	NOUN
ajst-19139	174	2	of	of	ADP
ajst-19139	174	3	theory	theory	NOUN
ajst-19139	174	4	and	and	CCONJ
ajst-19139	174	5	practice	practice	NOUN
ajst-19139	174	6	of	of	ADP
ajst-19139	174	7	engineering	engineer	VERB
ajst-19139	174	8	science	science	NOUN
ajst-19139	174	9	4.02	4.02	NUM
ajst-19139	174	10	(	(	PUNCT
ajst-19139	174	11	2024	2024	NUM
ajst-19139	174	12	):	):	PUNCT
ajst-19139	174	13	5865	5865	NUM
ajst-19139	174	14	.	.	PUNCT
ajst-19139	175	1	[	[	X
ajst-19139	175	2	19	19	NUM
ajst-19139	175	3	]	]	SYM
ajst-19139	175	4	wu	wu	PROPN
ajst-19139	175	5	,	,	PUNCT
ajst-19139	175	6	c.	c.	PROPN
ajst-19139	175	7	,	,	PUNCT
ajst-19139	175	8	cui	cui	PROPN
ajst-19139	175	9	,	,	PUNCT
ajst-19139	175	10	j.	j.	PROPN
ajst-19139	175	11	,	,	PUNCT
ajst-19139	175	12	xu	xu	PROPN
ajst-19139	175	13	,	,	PUNCT
ajst-19139	175	14	x.	x.	PROPN
ajst-19139	175	15	et	et	PROPN
ajst-19139	175	16	al	al	PROPN
ajst-19139	175	17	.	.	PUNCT
ajst-19139	176	1	the	the	DET
ajst-19139	176	2	influence	influence	NOUN
ajst-19139	176	3	of	of	ADP
ajst-19139	176	4	virtual	virtual	ADJ
ajst-19139	176	5	environment	environment	NOUN
ajst-19139	176	6	on	on	ADP
ajst-19139	176	7	thermal	thermal	ADJ
ajst-19139	176	8	perception	perception	NOUN
ajst-19139	176	9	:	:	PUNCT
ajst-19139	176	10	physical	physical	ADJ
ajst-19139	176	11	reaction	reaction	NOUN
ajst-19139	176	12	and	and	CCONJ
ajst-19139	176	13	subjective	subjective	ADJ
ajst-19139	176	14	thermal	thermal	ADJ
ajst-19139	176	15	perception	perception	NOUN
ajst-19139	176	16	on	on	ADP
ajst-19139	176	17	outdoor	outdoor	ADJ
ajst-19139	176	18	scenarios	scenario	NOUN
ajst-19139	176	19	in	in	ADP
ajst-19139	176	20	virtual	virtual	ADJ
ajst-19139	176	21	reality	reality	NOUN
ajst-19139	176	22	.	.	PUNCT
ajst-19139	177	1	int	int	NOUN
ajst-19139	177	2	j	j	PROPN
ajst-19139	177	3	biometeorol	biometeorol	PROPN
ajst-19139	177	4	67	67	NUM
ajst-19139	177	5	,	,	PUNCT
ajst-19139	177	6	1291–1301	1291–1301	NUM
ajst-19139	177	7	(	(	PUNCT
ajst-19139	177	8	2023	2023	NUM
ajst-19139	177	9	)	)	PUNCT
ajst-19139	177	10	.	.	PUNCT
ajst-19139	178	1	https://doi.org/10.1007/s00484-023-02495-3	https://doi.org/10.1007/s00484-023-02495-3	PROPN
ajst-19139	179	1	[	[	X
ajst-19139	179	2	20	20	NUM
ajst-19139	179	3	]	]	PUNCT
ajst-19139	179	4	shen	shen	NOUN
ajst-19139	179	5	,	,	PUNCT
ajst-19139	179	6	zepeng	zepeng	PROPN
ajst-19139	179	7	,	,	PUNCT
ajst-19139	179	8	et	et	PROPN
ajst-19139	179	9	al	al	PROPN
ajst-19139	179	10	.	.	PUNCT
ajst-19139	180	1	"	"	PUNCT
ajst-19139	180	2	educational	educational	ADJ
ajst-19139	180	3	innovation	innovation	NOUN
ajst-19139	180	4	in	in	ADP
ajst-19139	180	5	the	the	DET
ajst-19139	180	6	digital	digital	ADJ
ajst-19139	180	7	age	age	NOUN
ajst-19139	180	8	:	:	PUNCT
ajst-19139	180	9	the	the	DET
ajst-19139	180	10	role	role	NOUN
ajst-19139	180	11	and	and	CCONJ
ajst-19139	180	12	impact	impact	NOUN
ajst-19139	180	13	of	of	ADP
ajst-19139	180	14	nlp	nlp	NOUN
ajst-19139	180	15	technology	technology	NOUN
ajst-19139	180	16	.	.	PUNCT
ajst-19139	180	17	"	"	PUNCT
ajst-19139	181	1	old	old	ADJ
ajst-19139	181	2	and	and	CCONJ
ajst-19139	181	3	new	new	ADJ
ajst-19139	181	4	technologies	technology	NOUN
ajst-19139	181	5	of	of	ADP
ajst-19139	181	6	learning	learn	VERB
ajst-19139	181	7	development	development	NOUN
ajst-19139	181	8	in	in	ADP
ajst-19139	181	9	modern	modern	ADJ
ajst-19139	181	10	conditions	condition	NOUN
ajst-19139	181	11	(	(	PUNCT
ajst-19139	181	12	2024	2024	NUM
ajst-19139	181	13	):	):	PUNCT
ajst-19139	181	14	281	281	NUM
ajst-19139	181	15	.	.	PUNCT
ajst-19139	182	1	[	[	X
ajst-19139	182	2	21	21	NUM
ajst-19139	182	3	]	]	X
ajst-19139	182	4	wang	wang	PROPN
ajst-19139	182	5	,	,	PUNCT
ajst-19139	182	6	yong	yong	PROPN
ajst-19139	182	7	&	&	CCONJ
ajst-19139	182	8	ji	ji	PROPN
ajst-19139	182	9	,	,	PUNCT
ajst-19139	182	10	huan	huan	PROPN
ajst-19139	182	11	&	&	CCONJ
ajst-19139	182	12	zhou	zhou	PROPN
ajst-19139	182	13	,	,	PUNCT
ajst-19139	182	14	yanlin	yanlin	PROPN
ajst-19139	182	15	&	&	CCONJ
ajst-19139	182	16	he	he	PRON
ajst-19139	182	17	,	,	PUNCT
ajst-19139	182	18	zheng	zheng	PROPN
ajst-19139	182	19	&	&	CCONJ
ajst-19139	182	20	shen	shen	PROPN
ajst-19139	182	21	,	,	PUNCT
ajst-19139	182	22	xinyu	xinyu	PROPN
ajst-19139	182	23	.	.	PUNCT
ajst-19139	183	1	(	(	PUNCT
ajst-19139	183	2	2024	2024	NUM
ajst-19139	183	3	)	)	PUNCT
ajst-19139	183	4	.	.	PUNCT
ajst-19139	184	1	construction	construction	NOUN
ajst-19139	184	2	and	and	CCONJ
ajst-19139	184	3	application	application	NOUN
ajst-19139	184	4	of	of	ADP
ajst-19139	184	5	artificial	artificial	ADJ
ajst-19139	184	6	intelligence	intelligence	NOUN
ajst-19139	184	7	crowdsourcing	crowdsourcing	NOUN
ajst-19139	184	8	map	map	NOUN
ajst-19139	184	9	based	base	VERB
ajst-19139	184	10	on	on	ADP
ajst-19139	184	11	multi	multi	ADJ
ajst-19139	184	12	-	-	ADJ
ajst-19139	184	13	track	track	ADJ
ajst-19139	184	14	gps	gps	NOUN
ajst-19139	184	15	data	datum	NOUN
ajst-19139	184	16	.	.	PUNCT
ajst-19139	185	1	10.13140	10.13140	NUM
ajst-19139	185	2	/	/	SYM
ajst-19139	185	3	rg.2.2.24419.53288	rg.2.2.24419.53288	NOUN
ajst-19139	185	4	.	.	PUNCT
ajst-19139	186	1	[	[	X
ajst-19139	186	2	22	22	NUM
ajst-19139	186	3	]	]	X
ajst-19139	186	4	zheng	zheng	PROPN
ajst-19139	186	5	,	,	PUNCT
ajst-19139	186	6	jiajian	jiajian	PROPN
ajst-19139	186	7	&	&	CCONJ
ajst-19139	186	8	xin	xin	PROPN
ajst-19139	186	9	,	,	PUNCT
ajst-19139	186	10	duan	duan	PROPN
ajst-19139	186	11	&	&	CCONJ
ajst-19139	186	12	cheng	cheng	PROPN
ajst-19139	186	13	,	,	PUNCT
ajst-19139	186	14	qishuo	qishuo	PROPN
ajst-19139	186	15	&	&	CCONJ
ajst-19139	186	16	tian	tian	PROPN
ajst-19139	186	17	,	,	PUNCT
ajst-19139	186	18	miao	miao	PROPN
ajst-19139	186	19	&	&	CCONJ
ajst-19139	186	20	yang	yang	PROPN
ajst-19139	186	21	,	,	PUNCT
ajst-19139	186	22	le	le	X
ajst-19139	186	23	.	.	PUNCT
ajst-19139	186	24	(	(	PUNCT
ajst-19139	186	25	2024	2024	NUM
ajst-19139	186	26	)	)	PUNCT
ajst-19139	186	27	.	.	PUNCT
ajst-19139	187	1	the	the	DET
ajst-19139	187	2	random	random	ADJ
ajst-19139	187	3	forest	forest	NOUN
ajst-19139	187	4	model	model	NOUN
ajst-19139	187	5	for	for	ADP
ajst-19139	187	6	analyzing	analyze	VERB
ajst-19139	187	7	and	and	CCONJ
ajst-19139	187	8	forecasting	forecast	VERB
ajst-19139	187	9	the	the	DET
ajst-19139	187	10	us	us	PROPN
ajst-19139	187	11	stock	stock	NOUN
ajst-19139	187	12	market	market	NOUN
ajst-19139	187	13	in	in	ADP
ajst-19139	187	14	the	the	DET
ajst-19139	187	15	context	context	NOUN
ajst-19139	187	16	of	of	ADP
ajst-19139	187	17	smart	smart	ADJ
ajst-19139	187	18	finance	finance	NOUN
ajst-19139	187	19	.	.	PUNCT
ajst-19139	188	1	[	[	X
ajst-19139	188	2	23	23	NUM
ajst-19139	188	3	]	]	PUNCT
ajst-19139	188	4	k.	k.	PROPN
ajst-19139	188	5	xu	xu	PROPN
ajst-19139	188	6	,	,	PUNCT
ajst-19139	188	7	x.	x.	PROPN
ajst-19139	188	8	wang	wang	PROPN
ajst-19139	188	9	,	,	PUNCT
ajst-19139	188	10	z.	z.	PROPN
ajst-19139	188	11	hu	hu	PROPN
ajst-19139	188	12	and	and	CCONJ
ajst-19139	188	13	z.	z.	PROPN
ajst-19139	188	14	zhang	zhang	PROPN
ajst-19139	188	15	,	,	PUNCT
ajst-19139	188	16	"	"	PUNCT
ajst-19139	188	17	3d	3d	NUM
ajst-19139	188	18	face	face	NOUN
ajst-19139	188	19	recognition	recognition	NOUN
ajst-19139	188	20	based	base	VERB
ajst-19139	188	21	on	on	ADP
ajst-19139	188	22	twin	twin	ADJ
ajst-19139	188	23	neural	neural	ADJ
ajst-19139	188	24	network	network	NOUN
ajst-19139	188	25	combining	combine	VERB
ajst-19139	188	26	deep	deep	ADJ
ajst-19139	188	27	map	map	NOUN
ajst-19139	188	28	and	and	CCONJ
ajst-19139	188	29	texture	texture	NOUN
ajst-19139	188	30	,	,	PUNCT
ajst-19139	188	31	"	"	PUNCT
ajst-19139	188	32	2019	2019	NUM
ajst-19139	188	33	ieee	ieee	NOUN
ajst-19139	188	34	19th	19th	ADJ
ajst-19139	188	35	international	international	ADJ
ajst-19139	188	36	conference	conference	NOUN
ajst-19139	188	37	on	on	ADP
ajst-19139	188	38	communication	communication	NOUN
ajst-19139	188	39	technology	technology	NOUN
ajst-19139	188	40	(	(	PUNCT
ajst-19139	188	41	icct	icct	NOUN
ajst-19139	188	42	)	)	PUNCT
ajst-19139	188	43	,	,	PUNCT
ajst-19139	188	44	xi'an	xi'an	PROPN
ajst-19139	188	45	,	,	PUNCT
ajst-19139	188	46	china	china	PROPN
ajst-19139	188	47	,	,	PUNCT
ajst-19139	188	48	2019	2019	NUM
ajst-19139	188	49	,	,	PUNCT
ajst-19139	188	50	pp	pp	ADJ
ajst-19139	188	51	.	.	PUNCT
ajst-19139	189	1	1665	1665	NUM
ajst-19139	189	2	-	-	SYM
ajst-19139	189	3	1668	1668	NUM
ajst-19139	189	4	,	,	PUNCT
ajst-19139	189	5	doi	doi	NOUN
ajst-19139	189	6	:	:	PUNCT
ajst-19139	189	7	10.1109	10.1109	NUM
ajst-19139	189	8	/	/	SYM
ajst-19139	189	9	icct46805.2019.8947113	icct46805.2019.8947113	PROPN
ajst-19139	189	10	.	.	PUNCT
ajst-19139	190	1	[	[	X
ajst-19139	190	2	24	24	NUM
ajst-19139	190	3	]	]	PUNCT
ajst-19139	190	4	“	"	PUNCT
ajst-19139	190	5	exploring	explore	VERB
ajst-19139	190	6	new	new	ADJ
ajst-19139	190	7	frontiers	frontier	NOUN
ajst-19139	190	8	of	of	ADP
ajst-19139	190	9	deep	deep	ADJ
ajst-19139	190	10	learning	learning	NOUN
ajst-19139	190	11	in	in	ADP
ajst-19139	190	12	legal	legal	ADJ
ajst-19139	190	13	practice	practice	NOUN
ajst-19139	190	14	:	:	PUNCT
ajst-19139	190	15	a	a	DET
ajst-19139	190	16	case	case	NOUN
ajst-19139	190	17	study	study	NOUN
ajst-19139	190	18	of	of	ADP
ajst-19139	190	19	large	large	ADJ
ajst-19139	190	20	language	language	NOUN
ajst-19139	190	21	models	model	NOUN
ajst-19139	190	22	”	"	PUNCT
ajst-19139	190	23	.	.	PUNCT
ajst-19139	191	1	international	international	ADJ
ajst-19139	191	2	journal	journal	PROPN
ajst-19139	191	3	of	of	ADP
ajst-19139	191	4	computer	computer	NOUN
ajst-19139	191	5	science	science	NOUN
ajst-19139	191	6	and	and	CCONJ
ajst-19139	191	7	information	information	NOUN
ajst-19139	191	8	technology	technology	NOUN
ajst-19139	191	9	,	,	PUNCT
ajst-19139	191	10	vol	vol	NOUN
ajst-19139	191	11	.	.	PROPN
ajst-19139	191	12	1	1	NUM
ajst-19139	191	13	,	,	PUNCT
ajst-19139	191	14	no	no	INTJ
ajst-19139	191	15	.	.	NOUN
ajst-19139	191	16	1	1	NUM
ajst-19139	191	17	,	,	PUNCT
ajst-19139	191	18	dec	dec	PROPN
ajst-19139	191	19	.	.	PROPN
ajst-19139	191	20	2023	2023	NUM
ajst-19139	191	21	,	,	PUNCT
ajst-19139	191	22	pp	pp	ADJ
ajst-19139	191	23	.	.	PUNCT
ajst-19139	192	1	131	131	NUM
ajst-19139	192	2	-	-	SYM
ajst-19139	192	3	8	8	NUM
ajst-19139	192	4	,	,	PUNCT
ajst-19139	192	5	https://doi.org/10.62051/ijcsit.v1n1.18	https://doi.org/10.62051/ijcsit.v1n1.18	X
ajst-19139	192	6	.	.	PUNCT
ajst-19139	193	1	[	[	X
ajst-19139	193	2	25	25	NUM
ajst-19139	193	3	]	]	SYM
ajst-19139	193	4	yang	yang	PROPN
ajst-19139	193	5	,	,	PUNCT
ajst-19139	193	6	le	le	PROPN
ajst-19139	193	7	&	&	CCONJ
ajst-19139	193	8	tian	tian	PROPN
ajst-19139	193	9	,	,	PUNCT
ajst-19139	193	10	miao	miao	PROPN
ajst-19139	193	11	&	&	CCONJ
ajst-19139	193	12	xin	xin	PROPN
ajst-19139	193	13	,	,	PUNCT
ajst-19139	193	14	duan	duan	PROPN
ajst-19139	193	15	&	&	CCONJ
ajst-19139	193	16	cheng	cheng	PROPN
ajst-19139	193	17	,	,	PUNCT
ajst-19139	193	18	qishuo	qishuo	PROPN
ajst-19139	193	19	&	&	CCONJ
ajst-19139	193	20	zheng	zheng	PROPN
ajst-19139	193	21	,	,	PUNCT
ajst-19139	193	22	jiajian	jiajian	PROPN
ajst-19139	193	23	.	.	PUNCT
ajst-19139	194	1	(	(	PUNCT
ajst-19139	194	2	2024	2024	NUM
ajst-19139	194	3	)	)	PUNCT
ajst-19139	194	4	.	.	PUNCT
ajst-19139	195	1	ai	ai	AUX
ajst-19139	195	2	-	-	PUNCT
ajst-19139	195	3	driven	drive	VERB
ajst-19139	195	4	anonymization	anonymization	NOUN
ajst-19139	195	5	:	:	PUNCT
ajst-19139	195	6	protecting	protect	VERB
ajst-19139	195	7	personal	personal	ADJ
ajst-19139	195	8	data	datum	NOUN
ajst-19139	195	9	privacy	privacy	NOUN
ajst-19139	195	10	while	while	SCONJ
ajst-19139	195	11	leveraging	leverage	VERB
ajst-19139	195	12	machine	machine	NOUN
ajst-19139	195	13	learning	learning	NOUN
ajst-19139	195	14	.	.	PUNCT
ajst-19139	196	1	[	[	X
ajst-19139	196	2	26	26	NUM
ajst-19139	196	3	]	]	X
ajst-19139	196	4	cheng	cheng	PROPN
ajst-19139	196	5	,	,	PUNCT
ajst-19139	196	6	qishuo	qishuo	PROPN
ajst-19139	196	7	&	&	CCONJ
ajst-19139	196	8	yang	yang	PROPN
ajst-19139	196	9	,	,	PUNCT
ajst-19139	196	10	le	le	PROPN
ajst-19139	196	11	&	&	CCONJ
ajst-19139	196	12	zheng	zheng	PROPN
ajst-19139	196	13	,	,	PUNCT
ajst-19139	196	14	jiajian	jiajian	PROPN
ajst-19139	196	15	&	&	CCONJ
ajst-19139	196	16	tian	tian	PROPN
ajst-19139	196	17	,	,	PUNCT
ajst-19139	196	18	miao	miao	PROPN
ajst-19139	196	19	&	&	CCONJ
ajst-19139	196	20	xin	xin	PROPN
ajst-19139	196	21	,	,	PUNCT
ajst-19139	196	22	duan	duan	PROPN
ajst-19139	196	23	.	.	PROPN
ajst-19139	196	24	(	(	PUNCT
ajst-19139	196	25	2024	2024	NUM
ajst-19139	196	26	)	)	PUNCT
ajst-19139	196	27	.	.	PUNCT
ajst-19139	197	1	optimizing	optimize	VERB
ajst-19139	197	2	portfolio	portfolio	NOUN
ajst-19139	197	3	management	management	NOUN
ajst-19139	197	4	and	and	CCONJ
ajst-19139	197	5	risk	risk	NOUN
ajst-19139	197	6	assessment	assessment	NOUN
ajst-19139	197	7	in	in	ADP
ajst-19139	197	8	digital	digital	ADJ
ajst-19139	197	9	assets	asset	NOUN
ajst-19139	197	10	using	use	VERB
ajst-19139	197	11	deep	deep	ADJ
ajst-19139	197	12	learning	learning	NOUN
ajst-19139	197	13	for	for	ADP
ajst-19139	197	14	predictive	predictive	ADJ
ajst-19139	197	15	analysis	analysis	NOUN
ajst-19139	197	16	.	.	PUNCT
ajst-19139	198	1	[	[	X
ajst-19139	198	2	27	27	NUM
ajst-19139	198	3	]	]	X
ajst-19139	198	4	duan	duan	PROPN
ajst-19139	198	5	,	,	PUNCT
ajst-19139	198	6	shiheng	shiheng	PROPN
ajst-19139	198	7	,	,	PUNCT
ajst-19139	198	8	et	et	PROPN
ajst-19139	198	9	al	al	PROPN
ajst-19139	198	10	.	.	PUNCT
ajst-19139	199	1	“	"	PUNCT
ajst-19139	199	2	prediction	prediction	NOUN
ajst-19139	199	3	of	of	ADP
ajst-19139	199	4	atmospheric	atmospheric	ADJ
ajst-19139	199	5	carbon	carbon	NOUN
ajst-19139	199	6	dioxide	dioxide	NOUN
ajst-19139	199	7	radiative	radiative	ADJ
ajst-19139	199	8	transfer	transfer	NOUN
ajst-19139	199	9	model	model	NOUN
ajst-19139	199	10	based	base	VERB
ajst-19139	199	11	on	on	ADP
ajst-19139	199	12	machine	machine	NOUN
ajst-19139	199	13	learning	learning	NOUN
ajst-19139	199	14	”	"	PUNCT
ajst-19139	199	15	.	.	PUNCT
ajst-19139	200	1	frontiers	frontier	NOUN
ajst-19139	200	2	in	in	ADP
ajst-19139	200	3	computing	computing	NOUN
ajst-19139	200	4	and	and	CCONJ
ajst-19139	200	5	intelligent	intelligent	ADJ
ajst-19139	200	6	systems	system	NOUN
ajst-19139	200	7	,	,	PUNCT
ajst-19139	200	8	vol	vol	NOUN
ajst-19139	200	9	.	.	PROPN
ajst-19139	200	10	6	6	NUM
ajst-19139	200	11	,	,	PUNCT
ajst-19139	200	12	no	no	INTJ
ajst-19139	200	13	.	.	NOUN
ajst-19139	200	14	3	3	NUM
ajst-19139	200	15	,	,	PUNCT
ajst-19139	200	16	jan	jan	PROPN
ajst-19139	200	17	.	.	PROPN
ajst-19139	200	18	2024	2024	NUM
ajst-19139	200	19	,	,	PUNCT
ajst-19139	200	20	pp	pp	ADV
ajst-19139	200	21	.	.	PUNCT
ajst-19139	201	1	132	132	NUM
ajst-19139	201	2	-	-	SYM
ajst-19139	201	3	6	6	NUM
ajst-19139	201	4	,	,	PUNCT
ajst-19139	201	5	https://doi.org/10.54097/obmpjw5n	https://doi.org/10.54097/obmpjw5n	X
ajst-19139	201	6	.	.	PUNCT
ajst-19139	202	1	[	[	X
ajst-19139	202	2	28	28	NUM
ajst-19139	202	3	]	]	X
ajst-19139	202	4	xiao	xiao	PROPN
ajst-19139	202	5	,	,	PUNCT
ajst-19139	202	6	j.	j.	PROPN
ajst-19139	202	7	,	,	PUNCT
ajst-19139	202	8	chen	chen	PROPN
ajst-19139	202	9	,	,	PUNCT
ajst-19139	202	10	y.	y.	PROPN
ajst-19139	202	11	,	,	PUNCT
ajst-19139	202	12	ou	ou	PROPN
ajst-19139	202	13	,	,	PUNCT
ajst-19139	202	14	y.	y.	PROPN
ajst-19139	202	15	,	,	PUNCT
ajst-19139	202	16	yu	yu	PROPN
ajst-19139	202	17	,	,	PUNCT
ajst-19139	202	18	h.	h.	PROPN
ajst-19139	202	19	,	,	PUNCT
ajst-19139	202	20	&	&	CCONJ
ajst-19139	202	21	xiao	xiao	PROPN
ajst-19139	202	22	,	,	PUNCT
ajst-19139	202	23	y.	y.	PROPN
ajst-19139	202	24	(	(	PUNCT
ajst-19139	202	25	2024	2024	NUM
ajst-19139	202	26	)	)	PUNCT
ajst-19139	202	27	.	.	PUNCT
ajst-19139	203	1	baichuan2	baichuan2	ADJ
ajst-19139	203	2	-	-	PUNCT
ajst-19139	203	3	sum	sum	NOUN
ajst-19139	203	4	:	:	PUNCT
ajst-19139	203	5	instruction	instruction	NOUN
ajst-19139	203	6	finetune	finetune	NOUN
ajst-19139	203	7	baichuan2	baichuan2	PROPN
ajst-19139	203	8	-	-	PUNCT
ajst-19139	203	9	7b	7b	PROPN
ajst-19139	203	10	model	model	NOUN
ajst-19139	203	11	for	for	ADP
ajst-19139	203	12	dialogue	dialogue	NOUN
ajst-19139	203	13	summarization	summarization	NOUN
ajst-19139	203	14	.	.	PUNCT
ajst-19139	204	1	arxiv	arxiv	PROPN
ajst-19139	204	2	preprint	preprint	VERB
ajst-19139	204	3	arxiv:2401.15496	arxiv:2401.15496	NOUN
ajst-19139	204	4	.	.	PUNCT
ajst-19139	205	1	[	[	X
ajst-19139	205	2	29	29	NUM
ajst-19139	205	3	]	]	X
ajst-19139	205	4	sun	sun	NOUN
ajst-19139	205	5	,	,	PUNCT
ajst-19139	205	6	guolin	guolin	ADJ
ajst-19139	205	7	,	,	PUNCT
ajst-19139	205	8	et	et	PROPN
ajst-19139	205	9	al	al	PROPN
ajst-19139	205	10	.	.	PUNCT
ajst-19139	206	1	"	"	PUNCT
ajst-19139	206	2	revised	revise	VERB
ajst-19139	206	3	reinforcement	reinforcement	NOUN
ajst-19139	206	4	learning	learning	NOUN
ajst-19139	206	5	based	base	VERB
ajst-19139	206	6	on	on	ADP
ajst-19139	206	7	anchor	anchor	NOUN
ajst-19139	206	8	graph	graph	NOUN
ajst-19139	206	9	hashing	hash	VERB
ajst-19139	206	10	for	for	ADP
ajst-19139	206	11	autonomous	autonomous	ADJ
ajst-19139	206	12	cell	cell	NOUN
ajst-19139	206	13	activation	activation	NOUN
ajst-19139	206	14	in	in	ADP
ajst-19139	206	15	cloudrans	cloudran	NOUN
ajst-19139	206	16	.	.	PUNCT
ajst-19139	206	17	"	"	PUNCT
ajst-19139	207	1	future	future	ADJ
ajst-19139	207	2	generation	generation	NOUN
ajst-19139	207	3	computer	computer	NOUN
ajst-19139	207	4	systems	system	NOUN
ajst-19139	207	5	104	104	NUM
ajst-19139	207	6	(	(	PUNCT
ajst-19139	207	7	2020	2020	NUM
ajst-19139	207	8	):	):	PUNCT
ajst-19139	207	9	6073	6073	NUM
ajst-19139	207	10	.	.	PUNCT