id	sid	tid	token	lemma	pos
ajst-10512	1	1	academic	academic	ADJ
ajst-10512	1	2	journal	journal	NOUN
ajst-10512	1	3	of	of	ADP
ajst-10512	1	4	science	science	NOUN
ajst-10512	1	5	and	and	CCONJ
ajst-10512	1	6	technology	technology	NOUN
ajst-10512	1	7	issn	issn	NOUN
ajst-10512	1	8	:	:	PUNCT
ajst-10512	1	9	2771	2771	NUM
ajst-10512	1	10	-	-	SYM
ajst-10512	1	11	3032	3032	NUM
ajst-10512	1	12	|	|	NOUN
ajst-10512	1	13	vol	vol	NOUN
ajst-10512	1	14	.	.	PROPN
ajst-10512	2	1	6	6	NUM
ajst-10512	2	2	,	,	PUNCT
ajst-10512	2	3	no	no	INTJ
ajst-10512	2	4	.	.	NOUN
ajst-10512	2	5	3	3	NUM
ajst-10512	2	6	,	,	PUNCT
ajst-10512	2	7	2023	2023	NUM
ajst-10512	2	8	114	114	NUM
ajst-10512	2	9	large‐scale	large‐scale	NOUN
ajst-10512	2	10	networked	network	VERB
ajst-10512	2	11	visual	visual	ADJ
ajst-10512	2	12	data	datum	NOUN
ajst-10512	2	13	:	:	PUNCT
ajst-10512	2	14	current	current	ADJ
ajst-10512	2	15	research	research	NOUN
ajst-10512	2	16	and	and	CCONJ
ajst-10512	2	17	future	future	ADJ
ajst-10512	2	18	trends	trend	NOUN
ajst-10512	2	19	in	in	ADP
ajst-10512	2	20	associative	associative	ADJ
ajst-10512	2	21	inference	inference	NOUN
ajst-10512	2	22	and	and	CCONJ
ajst-10512	2	23	semantic	semantic	ADJ
ajst-10512	2	24	comprehension	comprehension	NOUN
ajst-10512	2	25	yu	yu	PROPN
ajst-10512	2	26	wu1	wu1	PROPN
ajst-10512	2	27	,	,	PUNCT
ajst-10512	2	28	a	a	DET
ajst-10512	2	29	1jilin	1jilin	PROPN
ajst-10512	2	30	university	university	NOUN
ajst-10512	2	31	,	,	PUNCT
ajst-10512	2	32	changchun	changchun	PROPN
ajst-10512	2	33	,	,	PUNCT
ajst-10512	2	34	china	china	PROPN
ajst-10512	2	35	a3829103891@qq.com	a3829103891@qq.com	PROPN
ajst-10512	2	36	abstract	abstract	PROPN
ajst-10512	2	37	:	:	PUNCT
ajst-10512	2	38	aiming	aim	VERB
ajst-10512	2	39	at	at	ADP
ajst-10512	2	40	the	the	DET
ajst-10512	2	41	fact	fact	NOUN
ajst-10512	2	42	that	that	SCONJ
ajst-10512	2	43	most	most	ADJ
ajst-10512	2	44	of	of	ADP
ajst-10512	2	45	the	the	DET
ajst-10512	2	46	existing	exist	VERB
ajst-10512	2	47	visual	visual	ADJ
ajst-10512	2	48	data	datum	NOUN
ajst-10512	2	49	comprehension	comprehension	NOUN
ajst-10512	2	50	deals	deal	NOUN
ajst-10512	2	51	with	with	ADP
ajst-10512	2	52	individual	individual	ADJ
ajst-10512	2	53	visual	visual	ADJ
ajst-10512	2	54	objects	object	NOUN
ajst-10512	2	55	in	in	ADP
ajst-10512	2	56	isolation	isolation	NOUN
ajst-10512	2	57	and	and	CCONJ
ajst-10512	2	58	focuses	focus	VERB
ajst-10512	2	59	on	on	ADP
ajst-10512	2	60	their	their	PRON
ajst-10512	2	61	inherent	inherent	ADJ
ajst-10512	2	62	characteristics	characteristic	NOUN
ajst-10512	2	63	,	,	PUNCT
ajst-10512	2	64	and	and	CCONJ
ajst-10512	2	65	pays	pay	VERB
ajst-10512	2	66	insufficient	insufficient	ADJ
ajst-10512	2	67	attention	attention	NOUN
ajst-10512	2	68	to	to	ADP
ajst-10512	2	69	the	the	DET
ajst-10512	2	70	characteristics	characteristic	NOUN
ajst-10512	2	71	of	of	ADP
ajst-10512	2	72	network	network	NOUN
ajst-10512	2	73	heterogeneous	heterogeneous	ADJ
ajst-10512	2	74	distribution	distribution	NOUN
ajst-10512	2	75	and	and	CCONJ
ajst-10512	2	76	interconnections	interconnection	NOUN
ajst-10512	2	77	,	,	PUNCT
ajst-10512	2	78	which	which	PRON
ajst-10512	2	79	leads	lead	VERB
ajst-10512	2	80	to	to	ADP
ajst-10512	2	81	difficulties	difficulty	NOUN
ajst-10512	2	82	in	in	ADP
ajst-10512	2	83	solving	solve	VERB
ajst-10512	2	84	low	low	ADJ
ajst-10512	2	85	computational	computational	ADJ
ajst-10512	2	86	efficiency	efficiency	NOUN
ajst-10512	2	87	,	,	PUNCT
ajst-10512	2	88	and	and	CCONJ
ajst-10512	2	89	understanding	understanding	NOUN
ajst-10512	2	90	of	of	ADP
ajst-10512	2	91	low	low	ADJ
ajst-10512	2	92	-	-	PUNCT
ajst-10512	2	93	level	level	NOUN
ajst-10512	2	94	semantics	semantic	NOUN
ajst-10512	2	95	,	,	PUNCT
ajst-10512	2	96	etc	etc	X
ajst-10512	2	97	.	.	X
ajst-10512	2	98	,	,	PUNCT
ajst-10512	2	99	we	we	PRON
ajst-10512	2	100	elaborate	elaborate	VERB
ajst-10512	2	101	on	on	ADP
ajst-10512	2	102	the	the	DET
ajst-10512	2	103	hotspots	hotspot	NOUN
ajst-10512	2	104	of	of	ADP
ajst-10512	2	105	the	the	DET
ajst-10512	2	106	research	research	NOUN
ajst-10512	2	107	of	of	ADP
ajst-10512	2	108	associative	associative	ADJ
ajst-10512	2	109	inference	inference	NOUN
ajst-10512	2	110	and	and	CCONJ
ajst-10512	2	111	semantic	semantic	ADJ
ajst-10512	2	112	comprehension	comprehension	NOUN
ajst-10512	2	113	of	of	ADP
ajst-10512	2	114	large	large	ADJ
ajst-10512	2	115	-	-	PUNCT
ajst-10512	2	116	scale	scale	NOUN
ajst-10512	2	117	networked	networked	ADJ
ajst-10512	2	118	visual	visual	ADJ
ajst-10512	2	119	data	datum	NOUN
ajst-10512	2	120	,	,	PUNCT
ajst-10512	2	121	analyze	analyze	VERB
ajst-10512	2	122	the	the	DET
ajst-10512	2	123	current	current	ADJ
ajst-10512	2	124	status	status	NOUN
ajst-10512	2	125	of	of	ADP
ajst-10512	2	126	the	the	DET
ajst-10512	2	127	research	research	NOUN
ajst-10512	2	128	at	at	ADP
ajst-10512	2	129	home	home	NOUN
ajst-10512	2	130	and	and	CCONJ
ajst-10512	2	131	abroad	abroad	ADV
ajst-10512	2	132	,	,	PUNCT
ajst-10512	2	133	and	and	CCONJ
ajst-10512	2	134	look	look	VERB
ajst-10512	2	135	forward	forward	ADV
ajst-10512	2	136	to	to	ADP
ajst-10512	2	137	the	the	DET
ajst-10512	2	138	development	development	NOUN
ajst-10512	2	139	trend	trend	NOUN
ajst-10512	2	140	in	in	ADP
ajst-10512	2	141	this	this	DET
ajst-10512	2	142	direction	direction	NOUN
ajst-10512	2	143	.	.	PUNCT
ajst-10512	3	1	we	we	PRON
ajst-10512	3	2	analyze	analyze	VERB
ajst-10512	3	3	the	the	DET
ajst-10512	3	4	current	current	ADJ
ajst-10512	3	5	research	research	NOUN
ajst-10512	3	6	situation	situation	NOUN
ajst-10512	3	7	at	at	ADP
ajst-10512	3	8	home	home	ADV
ajst-10512	3	9	and	and	CCONJ
ajst-10512	3	10	abroad	abroad	ADV
ajst-10512	3	11	and	and	CCONJ
ajst-10512	3	12	make	make	VERB
ajst-10512	3	13	an	an	DET
ajst-10512	3	14	outlook	outlook	NOUN
ajst-10512	3	15	on	on	ADP
ajst-10512	3	16	the	the	DET
ajst-10512	3	17	development	development	NOUN
ajst-10512	3	18	trend	trend	NOUN
ajst-10512	3	19	of	of	ADP
ajst-10512	3	20	this	this	DET
ajst-10512	3	21	direction	direction	NOUN
ajst-10512	3	22	.	.	PUNCT
ajst-10512	4	1	keywords	keyword	NOUN
ajst-10512	4	2	:	:	PUNCT
ajst-10512	4	3	visual	visual	ADJ
ajst-10512	4	4	cognitive	cognitive	ADJ
ajst-10512	4	5	mechanisms	mechanism	NOUN
ajst-10512	4	6	,	,	PUNCT
ajst-10512	4	7	machine	machine	NOUN
ajst-10512	4	8	learning	learning	NOUN
ajst-10512	4	9	,	,	PUNCT
ajst-10512	4	10	association	association	NOUN
ajst-10512	4	11	understanding	understanding	NOUN
ajst-10512	4	12	,	,	PUNCT
ajst-10512	4	13	semantic	semantic	ADJ
ajst-10512	4	14	structure	structure	NOUN
ajst-10512	4	15	.	.	PUNCT
ajst-10512	5	1	1	1	X
ajst-10512	5	2	.	.	X
ajst-10512	5	3	introduction	introduction	NOUN
ajst-10512	5	4	digital	digital	ADJ
ajst-10512	5	5	media	medium	NOUN
ajst-10512	5	6	data	datum	NOUN
ajst-10512	5	7	are	be	AUX
ajst-10512	5	8	increasingly	increasingly	ADV
ajst-10512	5	9	networked	network	VERB
ajst-10512	5	10	and	and	CCONJ
ajst-10512	5	11	socialized	socialize	VERB
ajst-10512	5	12	,	,	PUNCT
ajst-10512	5	13	and	and	CCONJ
ajst-10512	5	14	have	have	VERB
ajst-10512	5	15	a	a	DET
ajst-10512	5	16	significant	significant	ADJ
ajst-10512	5	17	impact	impact	NOUN
ajst-10512	5	18	on	on	ADP
ajst-10512	5	19	all	all	DET
ajst-10512	5	20	aspects	aspect	NOUN
ajst-10512	5	21	of	of	ADP
ajst-10512	5	22	social	social	ADJ
ajst-10512	5	23	life	life	NOUN
ajst-10512	5	24	.	.	PUNCT
ajst-10512	6	1	unlike	unlike	ADP
ajst-10512	6	2	traditional	traditional	ADJ
ajst-10512	6	3	structured	structured	ADJ
ajst-10512	6	4	and	and	CCONJ
ajst-10512	6	5	unstructured	unstructured	ADJ
ajst-10512	6	6	data	datum	NOUN
ajst-10512	6	7	,	,	PUNCT
ajst-10512	6	8	digital	digital	ADJ
ajst-10512	6	9	media	medium	NOUN
ajst-10512	6	10	data	datum	NOUN
ajst-10512	6	11	are	be	AUX
ajst-10512	6	12	embodied	embody	VERB
ajst-10512	6	13	in	in	ADP
ajst-10512	6	14	various	various	ADJ
ajst-10512	6	15	forms	form	NOUN
ajst-10512	6	16	such	such	ADJ
ajst-10512	6	17	as	as	ADP
ajst-10512	6	18	text	text	NOUN
ajst-10512	6	19	,	,	PUNCT
ajst-10512	6	20	images	image	NOUN
ajst-10512	6	21	and	and	CCONJ
ajst-10512	6	22	videos	video	NOUN
ajst-10512	6	23	.	.	PUNCT
ajst-10512	7	1	how	how	SCONJ
ajst-10512	7	2	to	to	PART
ajst-10512	7	3	semantically	semantically	ADV
ajst-10512	7	4	analyze	analyze	VERB
ajst-10512	7	5	and	and	CCONJ
ajst-10512	7	6	deeply	deeply	ADV
ajst-10512	7	7	utilize	utilize	VERB
ajst-10512	7	8	the	the	DET
ajst-10512	7	9	network	network	NOUN
ajst-10512	7	10	data	data	NOUN
ajst-10512	7	11	is	be	AUX
ajst-10512	7	12	an	an	DET
ajst-10512	7	13	important	important	ADJ
ajst-10512	7	14	frontier	frontier	NOUN
ajst-10512	7	15	issue	issue	NOUN
ajst-10512	7	16	of	of	ADP
ajst-10512	7	17	common	common	ADJ
ajst-10512	7	18	concern	concern	NOUN
ajst-10512	7	19	in	in	ADP
ajst-10512	7	20	the	the	DET
ajst-10512	7	21	fields	field	NOUN
ajst-10512	7	22	of	of	ADP
ajst-10512	7	23	network	network	NOUN
ajst-10512	7	24	communication	communication	NOUN
ajst-10512	7	25	and	and	CCONJ
ajst-10512	7	26	information	information	NOUN
ajst-10512	7	27	technology	technology	NOUN
ajst-10512	7	28	,	,	PUNCT
ajst-10512	7	29	facing	face	VERB
ajst-10512	7	30	challenges	challenge	NOUN
ajst-10512	7	31	such	such	ADJ
ajst-10512	7	32	as	as	ADP
ajst-10512	7	33	dimensionality	dimensionality	NOUN
ajst-10512	7	34	disaster	disaster	NOUN
ajst-10512	7	35	and	and	CCONJ
ajst-10512	7	36	semantic	semantic	ADJ
ajst-10512	7	37	divide	divide	NOUN
ajst-10512	7	38	,	,	PUNCT
ajst-10512	7	39	and	and	CCONJ
ajst-10512	7	40	this	this	DET
ajst-10512	7	41	trend	trend	NOUN
ajst-10512	7	42	has	have	AUX
ajst-10512	7	43	become	become	VERB
ajst-10512	7	44	a	a	DET
ajst-10512	7	45	bottleneck	bottleneck	NOUN
ajst-10512	7	46	that	that	PRON
ajst-10512	7	47	seriously	seriously	ADV
ajst-10512	7	48	restricts	restrict	VERB
ajst-10512	7	49	the	the	DET
ajst-10512	7	50	development	development	NOUN
ajst-10512	7	51	of	of	ADP
ajst-10512	7	52	digital	digital	ADJ
ajst-10512	7	53	media	medium	NOUN
ajst-10512	7	54	technology	technology	NOUN
ajst-10512	7	55	applications	application	NOUN
ajst-10512	7	56	.	.	PUNCT
ajst-10512	8	1	network	network	PROPN
ajst-10512	8	2	visual	visual	PROPN
ajst-10512	8	3	data	datum	NOUN
ajst-10512	8	4	pose	pose	VERB
ajst-10512	8	5	new	new	ADJ
ajst-10512	8	6	challenges	challenge	NOUN
ajst-10512	8	7	to	to	ADP
ajst-10512	8	8	the	the	DET
ajst-10512	8	9	theory	theory	NOUN
ajst-10512	8	10	of	of	ADP
ajst-10512	8	11	visual	visual	ADJ
ajst-10512	8	12	computing	computing	NOUN
ajst-10512	8	13	,	,	PUNCT
ajst-10512	8	14	visual	visual	ADJ
ajst-10512	8	15	data	data	PROPN
ajst-10512	8	16	association	association	PROPN
ajst-10512	8	17	understanding	understanding	NOUN
ajst-10512	8	18	provides	provide	VERB
ajst-10512	8	19	new	new	ADJ
ajst-10512	8	20	research	research	NOUN
ajst-10512	8	21	ideas	idea	NOUN
ajst-10512	8	22	for	for	ADP
ajst-10512	8	23	solving	solve	VERB
ajst-10512	8	24	the	the	DET
ajst-10512	8	25	challenges	challenge	NOUN
ajst-10512	8	26	faced	face	VERB
ajst-10512	8	27	by	by	ADP
ajst-10512	8	28	visual	visual	ADJ
ajst-10512	8	29	media	medium	NOUN
ajst-10512	8	30	data	datum	NOUN
ajst-10512	8	31	understanding	understanding	NOUN
ajst-10512	8	32	and	and	CCONJ
ajst-10512	8	33	is	be	AUX
ajst-10512	8	34	expected	expect	VERB
ajst-10512	8	35	to	to	PART
ajst-10512	8	36	give	give	VERB
ajst-10512	8	37	rise	rise	NOUN
ajst-10512	8	38	to	to	ADP
ajst-10512	8	39	new	new	ADJ
ajst-10512	8	40	theories	theory	NOUN
ajst-10512	8	41	and	and	CCONJ
ajst-10512	8	42	methods	method	NOUN
ajst-10512	8	43	of	of	ADP
ajst-10512	8	44	visual	visual	ADJ
ajst-10512	8	45	data	datum	NOUN
ajst-10512	8	46	semantic	semantic	ADJ
ajst-10512	8	47	understanding	understanding	NOUN
ajst-10512	8	48	,	,	PUNCT
ajst-10512	8	49	focusing	focus	VERB
ajst-10512	8	50	on	on	ADP
ajst-10512	8	51	and	and	CCONJ
ajst-10512	8	52	utilizing	utilize	VERB
ajst-10512	8	53	such	such	ADJ
ajst-10512	8	54	data	data	NOUN
ajst-10512	8	55	association	association	NOUN
ajst-10512	8	56	presentation	presentation	NOUN
ajst-10512	8	57	characteristics	characteristic	NOUN
ajst-10512	8	58	is	be	AUX
ajst-10512	8	59	quietly	quietly	ADV
ajst-10512	8	60	changing	change	VERB
ajst-10512	8	61	the	the	DET
ajst-10512	8	62	traditional	traditional	ADJ
ajst-10512	8	63	visual	visual	ADJ
ajst-10512	8	64	computing	computing	NOUN
ajst-10512	8	65	focus	focus	NOUN
ajst-10512	8	66	on	on	ADP
ajst-10512	8	67	a	a	DET
ajst-10512	8	68	single	single	ADJ
ajst-10512	8	69	object	object	NOUN
ajst-10512	8	70	research	research	NOUN
ajst-10512	8	71	ideas	idea	NOUN
ajst-10512	8	72	.	.	PUNCT
ajst-10512	9	1	in	in	ADP
ajst-10512	9	2	addition	addition	NOUN
ajst-10512	9	3	,	,	PUNCT
ajst-10512	9	4	the	the	DET
ajst-10512	9	5	exponential	exponential	ADJ
ajst-10512	9	6	growth	growth	NOUN
ajst-10512	9	7	of	of	ADP
ajst-10512	9	8	digital	digital	ADJ
ajst-10512	9	9	information	information	NOUN
ajst-10512	9	10	will	will	AUX
ajst-10512	9	11	be	be	AUX
ajst-10512	9	12	multidisciplinary	multidisciplinary	ADJ
ajst-10512	9	13	knowledge	knowledge	NOUN
ajst-10512	9	14	in	in	ADP
ajst-10512	9	15	a	a	DET
ajst-10512	9	16	variety	variety	NOUN
ajst-10512	9	17	of	of	ADP
ajst-10512	9	18	ways	way	NOUN
ajst-10512	9	19	associated	associate	VERB
ajst-10512	9	20	together	together	ADV
ajst-10512	9	21	,	,	PUNCT
ajst-10512	9	22	the	the	DET
ajst-10512	9	23	analysis	analysis	NOUN
ajst-10512	9	24	and	and	CCONJ
ajst-10512	9	25	understanding	understanding	NOUN
ajst-10512	9	26	of	of	ADP
ajst-10512	9	27	these	these	DET
ajst-10512	9	28	associations	association	NOUN
ajst-10512	9	29	have	have	AUX
ajst-10512	9	30	led	lead	VERB
ajst-10512	9	31	to	to	ADP
ajst-10512	9	32	a	a	DET
ajst-10512	9	33	new	new	ADJ
ajst-10512	9	34	development	development	NOUN
ajst-10512	9	35	in	in	ADP
ajst-10512	9	36	the	the	DET
ajst-10512	9	37	study	study	NOUN
ajst-10512	9	38	of	of	ADP
ajst-10512	9	39	visual	visual	ADJ
ajst-10512	9	40	data	datum	NOUN
ajst-10512	9	41	understanding	understanding	NOUN
ajst-10512	9	42	,	,	PUNCT
ajst-10512	9	43	which	which	PRON
ajst-10512	9	44	has	have	AUX
ajst-10512	9	45	gone	go	VERB
ajst-10512	9	46	beyond	beyond	ADP
ajst-10512	9	47	the	the	DET
ajst-10512	9	48	scope	scope	NOUN
ajst-10512	9	49	of	of	ADP
ajst-10512	9	50	conventional	conventional	ADJ
ajst-10512	9	51	data	datum	NOUN
ajst-10512	9	52	mining	mining	NOUN
ajst-10512	9	53	,	,	PUNCT
ajst-10512	9	54	and	and	CCONJ
ajst-10512	9	55	has	have	AUX
ajst-10512	9	56	helped	help	VERB
ajst-10512	9	57	to	to	PART
ajst-10512	9	58	produce	produce	VERB
ajst-10512	9	59	a	a	DET
ajst-10512	9	60	new	new	ADJ
ajst-10512	9	61	visual	visual	ADJ
ajst-10512	9	62	data	datum	NOUN
ajst-10512	9	63	processing	processing	NOUN
ajst-10512	9	64	and	and	CCONJ
ajst-10512	9	65	pattern	pattern	NOUN
ajst-10512	9	66	analysis	analysis	NOUN
ajst-10512	9	67	techniques	technique	NOUN
ajst-10512	9	68	that	that	PRON
ajst-10512	9	69	can	can	AUX
ajst-10512	9	70	break	break	VERB
ajst-10512	9	71	through	through	ADP
ajst-10512	9	72	the	the	DET
ajst-10512	9	73	bottleneck	bottleneck	NOUN
ajst-10512	9	74	of	of	ADP
ajst-10512	9	75	visual	visual	ADJ
ajst-10512	9	76	media	medium	NOUN
ajst-10512	9	77	data	data	VERB
ajst-10512	9	78	semantic	semantic	ADJ
ajst-10512	9	79	understanding	understanding	NOUN
ajst-10512	9	80	technology	technology	NOUN
ajst-10512	9	81	.	.	PUNCT
ajst-10512	10	1	for	for	ADP
ajst-10512	10	2	polymorphisms	polymorphism	NOUN
ajst-10512	10	3	existing	exist	VERB
ajst-10512	10	4	in	in	ADP
ajst-10512	10	5	open	open	ADJ
ajst-10512	10	6	,	,	PUNCT
ajst-10512	10	7	massive	massive	ADJ
ajst-10512	10	8	,	,	PUNCT
ajst-10512	10	9	complex	complex	ADJ
ajst-10512	10	10	and	and	CCONJ
ajst-10512	10	11	dynamic	dynamic	ADJ
ajst-10512	10	12	thematic	thematic	ADJ
ajst-10512	10	13	extraction	extraction	NOUN
ajst-10512	10	14	and	and	CCONJ
ajst-10512	10	15	knowledge	knowledge	NOUN
ajst-10512	10	16	mining	mining	NOUN
ajst-10512	10	17	of	of	ADP
ajst-10512	10	18	associated	associated	ADJ
ajst-10512	10	19	visual	visual	ADJ
ajst-10512	10	20	data	datum	NOUN
ajst-10512	10	21	from	from	ADP
ajst-10512	10	22	changing	change	VERB
ajst-10512	10	23	internet	internet	NOUN
ajst-10512	10	24	platforms	platform	NOUN
ajst-10512	10	25	for	for	ADP
ajst-10512	10	26	content	content	NOUN
ajst-10512	10	27	aggregation	aggregation	NOUN
ajst-10512	10	28	and	and	CCONJ
ajst-10512	10	29	integrated	integrated	ADJ
ajst-10512	10	30	synthesis	synthesis	NOUN
ajst-10512	10	31	,	,	PUNCT
ajst-10512	10	32	facilitating	facilitate	VERB
ajst-10512	10	33	the	the	DET
ajst-10512	10	34	deepening	deepening	NOUN
ajst-10512	10	35	and	and	CCONJ
ajst-10512	10	36	advancing	advance	VERB
ajst-10512	10	37	the	the	DET
ajst-10512	10	38	semantic	semantic	ADJ
ajst-10512	10	39	understanding	understanding	NOUN
ajst-10512	10	40	of	of	ADP
ajst-10512	10	41	hot	hot	ADJ
ajst-10512	10	42	and	and	CCONJ
ajst-10512	10	43	sensitive	sensitive	ADJ
ajst-10512	10	44	topics	topic	NOUN
ajst-10512	10	45	and	and	CCONJ
ajst-10512	10	46	major	major	ADJ
ajst-10512	10	47	events	event	NOUN
ajst-10512	10	48	reflected	reflect	VERB
ajst-10512	10	49	in	in	ADP
ajst-10512	10	50	cyberspace	cyberspace	NOUN
ajst-10512	10	51	,	,	PUNCT
ajst-10512	10	52	these	these	DET
ajst-10512	10	53	expected	expect	VERB
ajst-10512	10	54	research	research	NOUN
ajst-10512	10	55	results	result	NOUN
ajst-10512	10	56	have	have	VERB
ajst-10512	10	57	broad	broad	ADJ
ajst-10512	10	58	application	application	NOUN
ajst-10512	10	59	prospects	prospect	NOUN
ajst-10512	10	60	in	in	ADP
ajst-10512	10	61	national	national	ADJ
ajst-10512	10	62	security	security	NOUN
ajst-10512	10	63	and	and	CCONJ
ajst-10512	10	64	safety	safety	NOUN
ajst-10512	10	65	,	,	PUNCT
ajst-10512	10	66	development	development	NOUN
ajst-10512	10	67	of	of	ADP
ajst-10512	10	68	advanced	advanced	ADJ
ajst-10512	10	69	productive	productive	ADJ
ajst-10512	10	70	forces	force	NOUN
ajst-10512	10	71	and	and	CCONJ
ajst-10512	10	72	improvement	improvement	NOUN
ajst-10512	10	73	of	of	ADP
ajst-10512	10	74	people	people	NOUN
ajst-10512	10	75	's	's	PART
ajst-10512	10	76	living	living	NOUN
ajst-10512	10	77	standards	standard	NOUN
ajst-10512	10	78	.	.	PUNCT
ajst-10512	11	1	2	2	X
ajst-10512	11	2	.	.	X
ajst-10512	11	3	literature	literature	NOUN
ajst-10512	11	4	review	review	PROPN
ajst-10512	11	5	representation	representation	NOUN
ajst-10512	11	6	and	and	CCONJ
ajst-10512	11	7	computation	computation	NOUN
ajst-10512	11	8	are	be	AUX
ajst-10512	11	9	two	two	NUM
ajst-10512	11	10	essential	essential	ADJ
ajst-10512	11	11	core	core	NOUN
ajst-10512	11	12	issues	issue	NOUN
ajst-10512	11	13	in	in	ADP
ajst-10512	11	14	visual	visual	ADJ
ajst-10512	11	15	data	data	PROPN
ajst-10512	11	16	association	association	PROPN
ajst-10512	11	17	understanding	understanding	NOUN
ajst-10512	11	18	.	.	PUNCT
ajst-10512	12	1	the	the	DET
ajst-10512	12	2	current	current	ADJ
ajst-10512	12	3	main	main	ADJ
ajst-10512	12	4	research	research	NOUN
ajst-10512	12	5	can	can	AUX
ajst-10512	12	6	be	be	AUX
ajst-10512	12	7	summarized	summarize	VERB
ajst-10512	12	8	into	into	ADP
ajst-10512	12	9	four	four	NUM
ajst-10512	12	10	aspects	aspect	NOUN
ajst-10512	12	11	:	:	PUNCT
ajst-10512	12	12	visual	visual	ADJ
ajst-10512	12	13	knowledge	knowledge	NOUN
ajst-10512	12	14	expression	expression	NOUN
ajst-10512	12	15	model	model	NOUN
ajst-10512	12	16	,	,	PUNCT
ajst-10512	12	17	feature	feature	NOUN
ajst-10512	12	18	extraction	extraction	NOUN
ajst-10512	12	19	and	and	CCONJ
ajst-10512	12	20	representation	representation	NOUN
ajst-10512	12	21	,	,	PUNCT
ajst-10512	12	22	feature	feature	NOUN
ajst-10512	12	23	fusion	fusion	NOUN
ajst-10512	12	24	and	and	CCONJ
ajst-10512	12	25	processing	processing	NOUN
ajst-10512	12	26	,	,	PUNCT
ajst-10512	12	27	and	and	CCONJ
ajst-10512	12	28	feature	feature	NOUN
ajst-10512	12	29	and	and	CCONJ
ajst-10512	12	30	semantic	semantic	ADJ
ajst-10512	12	31	association	association	NOUN
ajst-10512	12	32	attribute	attribute	NOUN
ajst-10512	12	33	maps	map	NOUN
ajst-10512	12	34	,	,	PUNCT
ajst-10512	12	35	which	which	PRON
ajst-10512	12	36	respectively	respectively	ADV
ajst-10512	12	37	realize	realize	VERB
ajst-10512	12	38	the	the	DET
ajst-10512	12	39	modeling	modeling	NOUN
ajst-10512	12	40	and	and	CCONJ
ajst-10512	12	41	learning	learning	NOUN
ajst-10512	12	42	of	of	ADP
ajst-10512	12	43	visual	visual	ADJ
ajst-10512	12	44	objects	object	NOUN
ajst-10512	12	45	,	,	PUNCT
ajst-10512	12	46	feature	feature	NOUN
ajst-10512	12	47	representation	representation	NOUN
ajst-10512	12	48	of	of	ADP
ajst-10512	12	49	high	high	ADJ
ajst-10512	12	50	-	-	PUNCT
ajst-10512	12	51	dimensional	dimensional	ADJ
ajst-10512	12	52	heterogeneous	heterogeneous	ADJ
ajst-10512	12	53	data	datum	NOUN
ajst-10512	12	54	,	,	PUNCT
ajst-10512	12	55	feature	feature	NOUN
ajst-10512	12	56	dimensionality	dimensionality	NOUN
ajst-10512	12	57	reduction	reduction	NOUN
ajst-10512	12	58	and	and	CCONJ
ajst-10512	12	59	association	association	NOUN
ajst-10512	12	60	,	,	PUNCT
ajst-10512	12	61	and	and	CCONJ
ajst-10512	12	62	feature	feature	VERB
ajst-10512	12	63	to	to	ADP
ajst-10512	12	64	high	high	ADJ
ajst-10512	12	65	-	-	PUNCT
ajst-10512	12	66	level	level	NOUN
ajst-10512	12	67	semantic	semantic	ADJ
ajst-10512	12	68	mapping	mapping	NOUN
ajst-10512	12	69	.	.	PUNCT
ajst-10512	13	1	the	the	DET
ajst-10512	13	2	first	first	ADJ
ajst-10512	13	3	two	two	NUM
ajst-10512	13	4	belong	belong	VERB
ajst-10512	13	5	to	to	ADP
ajst-10512	13	6	the	the	DET
ajst-10512	13	7	representation	representation	NOUN
ajst-10512	13	8	problem	problem	NOUN
ajst-10512	13	9	and	and	CCONJ
ajst-10512	13	10	the	the	DET
ajst-10512	13	11	latter	latter	ADJ
ajst-10512	13	12	two	two	NUM
ajst-10512	13	13	belong	belong	VERB
ajst-10512	13	14	to	to	ADP
ajst-10512	13	15	the	the	DET
ajst-10512	13	16	computational	computational	ADJ
ajst-10512	13	17	problem	problem	NOUN
ajst-10512	13	18	.	.	PUNCT
ajst-10512	14	1	2.1	2.1	NUM
ajst-10512	14	2	.	.	PUNCT
ajst-10512	14	3	relevant	relevant	ADJ
ajst-10512	14	4	domestic	domestic	ADJ
ajst-10512	14	5	and	and	CCONJ
ajst-10512	14	6	international	international	ADJ
ajst-10512	14	7	government	government	NOUN
ajst-10512	14	8	funding	funding	NOUN
ajst-10512	14	9	for	for	ADP
ajst-10512	14	10	this	this	DET
ajst-10512	14	11	research	research	NOUN
ajst-10512	14	12	currently	currently	ADV
ajst-10512	14	13	,	,	PUNCT
ajst-10512	14	14	a	a	DET
ajst-10512	14	15	large	large	ADJ
ajst-10512	14	16	number	number	NOUN
ajst-10512	14	17	of	of	ADP
ajst-10512	14	18	research	research	NOUN
ajst-10512	14	19	works	work	NOUN
ajst-10512	14	20	on	on	ADP
ajst-10512	14	21	visual	visual	ADJ
ajst-10512	14	22	data	data	PROPN
ajst-10512	14	23	association	association	PROPN
ajst-10512	14	24	understanding	understanding	NOUN
ajst-10512	14	25	have	have	AUX
ajst-10512	14	26	been	be	AUX
ajst-10512	14	27	carried	carry	VERB
ajst-10512	14	28	out	out	ADP
ajst-10512	14	29	at	at	ADP
ajst-10512	14	30	home	home	NOUN
ajst-10512	14	31	and	and	CCONJ
ajst-10512	14	32	abroad	abroad	ADV
ajst-10512	14	33	.	.	PUNCT
ajst-10512	15	1	for	for	ADP
ajst-10512	15	2	example	example	NOUN
ajst-10512	15	3	,	,	PUNCT
ajst-10512	15	4	the	the	DET
ajst-10512	15	5	u.s	u.s	PROPN
ajst-10512	15	6	.	.	PROPN
ajst-10512	15	7	national	national	PROPN
ajst-10512	15	8	natural	natural	PROPN
ajst-10512	15	9	science	science	PROPN
ajst-10512	15	10	foundation	foundation	PROPN
ajst-10512	15	11	.	.	PUNCT
ajst-10512	16	1	in	in	ADP
ajst-10512	16	2	2003	2003	NUM
ajst-10512	16	3	,	,	PUNCT
ajst-10512	16	4	more	more	ADJ
ajst-10512	16	5	than	than	ADP
ajst-10512	16	6	$	$	SYM
ajst-10512	16	7	12	12	NUM
ajst-10512	16	8	million	million	NUM
ajst-10512	16	9	were	be	AUX
ajst-10512	16	10	funded	fund	VERB
ajst-10512	16	11	for	for	ADP
ajst-10512	16	12	research	research	NOUN
ajst-10512	16	13	in	in	ADP
ajst-10512	16	14	this	this	DET
ajst-10512	16	15	area	area	NOUN
ajst-10512	16	16	;	;	PUNCT
ajst-10512	16	17	in	in	ADP
ajst-10512	16	18	2007	2007	NUM
ajst-10512	16	19	,	,	PUNCT
ajst-10512	16	20	the	the	DET
ajst-10512	16	21	u.s	u.s	PROPN
ajst-10512	16	22	.	.	PROPN
ajst-10512	16	23	defense	defense	PROPN
ajst-10512	16	24	advanced	advanced	ADJ
ajst-10512	16	25	research	research	NOUN
ajst-10512	16	26	projects	project	NOUN
ajst-10512	16	27	agency	agency	NOUN
ajst-10512	16	28	(	(	PUNCT
ajst-10512	16	29	darpa	darpa	PROPN
ajst-10512	16	30	)	)	PUNCT
ajst-10512	16	31	launched	launch	VERB
ajst-10512	16	32	an	an	DET
ajst-10512	16	33	ai	ai	NOUN
ajst-10512	16	34	research	research	NOUN
ajst-10512	16	35	project	project	NOUN
ajst-10512	16	36	called	call	VERB
ajst-10512	16	37	bootstrapped	bootstrapped	ADJ
ajst-10512	16	38	learning	learning	NOUN
ajst-10512	16	39	,	,	PUNCT
ajst-10512	16	40	which	which	PRON
ajst-10512	16	41	involves	involve	VERB
ajst-10512	16	42	natural	natural	ADJ
ajst-10512	16	43	language	language	NOUN
ajst-10512	16	44	processing	processing	NOUN
ajst-10512	16	45	,	,	PUNCT
ajst-10512	16	46	visual	visual	ADJ
ajst-10512	16	47	data	datum	NOUN
ajst-10512	16	48	cognition	cognition	NOUN
ajst-10512	16	49	and	and	CCONJ
ajst-10512	16	50	content	content	NOUN
ajst-10512	16	51	understanding	understanding	NOUN
ajst-10512	16	52	,	,	PUNCT
ajst-10512	16	53	etc	etc	X
ajst-10512	16	54	.	.	X
ajst-10512	16	55	,	,	PUNCT
ajst-10512	16	56	with	with	ADP
ajst-10512	16	57	the	the	DET
ajst-10512	16	58	aim	aim	NOUN
ajst-10512	16	59	of	of	ADP
ajst-10512	16	60	deeply	deeply	ADV
ajst-10512	16	61	studying	study	VERB
ajst-10512	16	62	the	the	DET
ajst-10512	16	63	mechanisms	mechanism	NOUN
ajst-10512	16	64	and	and	CCONJ
ajst-10512	16	65	processes	process	NOUN
ajst-10512	16	66	of	of	ADP
ajst-10512	16	67	human	human	ADJ
ajst-10512	16	68	cognition	cognition	NOUN
ajst-10512	16	69	and	and	CCONJ
ajst-10512	16	70	visual	visual	ADJ
ajst-10512	16	71	content	content	NOUN
ajst-10512	16	72	understanding	understanding	NOUN
ajst-10512	16	73	.	.	PUNCT
ajst-10512	17	1	the	the	DET
ajst-10512	17	2	aim	aim	NOUN
ajst-10512	17	3	is	be	AUX
ajst-10512	17	4	to	to	PART
ajst-10512	17	5	deeply	deeply	ADV
ajst-10512	17	6	investigate	investigate	VERB
ajst-10512	17	7	the	the	DET
ajst-10512	17	8	mechanism	mechanism	NOUN
ajst-10512	17	9	and	and	CCONJ
ajst-10512	17	10	process	process	NOUN
ajst-10512	17	11	of	of	ADP
ajst-10512	17	12	human	human	ADJ
ajst-10512	17	13	cognition	cognition	NOUN
ajst-10512	17	14	and	and	CCONJ
ajst-10512	17	15	visual	visual	ADJ
ajst-10512	17	16	content	content	NOUN
ajst-10512	17	17	understanding	understanding	NOUN
ajst-10512	17	18	,	,	PUNCT
ajst-10512	17	19	which	which	PRON
ajst-10512	17	20	is	be	AUX
ajst-10512	17	21	considered	consider	VERB
ajst-10512	17	22	a	a	DET
ajst-10512	17	23	new	new	ADJ
ajst-10512	17	24	kind	kind	NOUN
ajst-10512	17	25	of	of	ADP
ajst-10512	17	26	ai	ai	VERB
ajst-10512	17	27	research	research	NOUN
ajst-10512	17	28	of	of	ADP
ajst-10512	17	29	machine	machine	NOUN
ajst-10512	17	30	learning	learn	VERB
ajst-10512	17	31	approaches	approach	NOUN
ajst-10512	17	32	to	to	PART
ajst-10512	17	33	explore	explore	VERB
ajst-10512	17	34	.	.	PUNCT
ajst-10512	18	1	china	china	PROPN
ajst-10512	18	2	's	's	PART
ajst-10512	18	3	973	973	NUM
ajst-10512	18	4	program	program	NOUN
ajst-10512	18	5	has	have	AUX
ajst-10512	18	6	successively	successively	ADV
ajst-10512	18	7	supported	support	VERB
ajst-10512	18	8	projects	project	NOUN
ajst-10512	18	9	such	such	ADJ
ajst-10512	18	10	as	as	ADP
ajst-10512	18	11	"	"	PUNCT
ajst-10512	18	12	image	image	NOUN
ajst-10512	18	13	,	,	PUNCT
ajst-10512	18	14	speech	speech	NOUN
ajst-10512	18	15	,	,	PUNCT
ajst-10512	18	16	natural	natural	ADJ
ajst-10512	18	17	language	language	NOUN
ajst-10512	18	18	understanding	understanding	NOUN
ajst-10512	18	19	and	and	CCONJ
ajst-10512	18	20	knowledge	knowledge	NOUN
ajst-10512	18	21	mining	mining	NOUN
ajst-10512	18	22	"	"	PUNCT
ajst-10512	18	23	,	,	PUNCT
ajst-10512	18	24	"	"	PUNCT
ajst-10512	18	25	theories	theory	NOUN
ajst-10512	18	26	and	and	CCONJ
ajst-10512	18	27	methods	method	NOUN
ajst-10512	18	28	of	of	ADP
ajst-10512	18	29	digital	digital	ADJ
ajst-10512	18	30	content	content	NOUN
ajst-10512	18	31	understanding	understand	VERB
ajst-10512	18	32	"	"	PUNCT
ajst-10512	18	33	,	,	PUNCT
ajst-10512	18	34	"	"	PUNCT
ajst-10512	18	35	theories	theory	NOUN
ajst-10512	18	36	and	and	CCONJ
ajst-10512	18	37	methods	method	NOUN
ajst-10512	18	38	of	of	ADP
ajst-10512	18	39	intelligent	intelligent	ADJ
ajst-10512	18	40	processing	processing	NOUN
ajst-10512	18	41	of	of	ADP
ajst-10512	18	42	visual	visual	ADJ
ajst-10512	18	43	media	medium	NOUN
ajst-10512	18	44	"	"	PUNCT
ajst-10512	18	45	,	,	PUNCT
ajst-10512	18	46	"	"	PUNCT
ajst-10512	18	47	theories	theory	NOUN
ajst-10512	18	48	and	and	CCONJ
ajst-10512	18	49	key	key	ADJ
ajst-10512	18	50	technologies	technology	NOUN
ajst-10512	18	51	of	of	ADP
ajst-10512	18	52	unstructured	unstructured	ADJ
ajst-10512	18	53	information	information	NOUN
ajst-10512	18	54	processing	processing	NOUN
ajst-10512	18	55	based	base	VERB
ajst-10512	18	56	on	on	ADP
ajst-10512	18	57	visual	visual	ADJ
ajst-10512	18	58	cognition	cognition	NOUN
ajst-10512	18	59	"	"	PUNCT
ajst-10512	18	60	and	and	CCONJ
ajst-10512	18	61	so	so	ADV
ajst-10512	18	62	on	on	ADV
ajst-10512	18	63	.	.	PUNCT
ajst-10512	19	1	"	"	PUNCT
ajst-10512	19	2	,	,	PUNCT
ajst-10512	19	3	"	"	PUNCT
ajst-10512	19	4	theory	theory	NOUN
ajst-10512	19	5	and	and	CCONJ
ajst-10512	19	6	key	key	ADJ
ajst-10512	19	7	115	115	NUM
ajst-10512	19	8	technology	technology	NOUN
ajst-10512	19	9	of	of	ADP
ajst-10512	19	10	unstructured	unstructured	ADJ
ajst-10512	19	11	information	information	NOUN
ajst-10512	19	12	processing	processing	NOUN
ajst-10512	19	13	based	base	VERB
ajst-10512	19	14	on	on	ADP
ajst-10512	19	15	visual	visual	ADJ
ajst-10512	19	16	cognition	cognition	NOUN
ajst-10512	19	17	"	"	PUNCT
ajst-10512	19	18	and	and	CCONJ
ajst-10512	19	19	other	other	ADJ
ajst-10512	19	20	projects	project	NOUN
ajst-10512	19	21	,	,	PUNCT
ajst-10512	19	22	and	and	CCONJ
ajst-10512	19	23	the	the	DET
ajst-10512	19	24	national	national	ADJ
ajst-10512	19	25	natural	natural	PROPN
ajst-10512	19	26	science	science	PROPN
ajst-10512	19	27	foundation	foundation	PROPN
ajst-10512	19	28	of	of	ADP
ajst-10512	19	29	china	china	PROPN
ajst-10512	19	30	has	have	AUX
ajst-10512	19	31	also	also	ADV
ajst-10512	19	32	launched	launch	VERB
ajst-10512	19	33	the	the	DET
ajst-10512	19	34	"	"	PUNCT
ajst-10512	19	35	cognitive	cognitive	ADJ
ajst-10512	19	36	computing	computing	NOUN
ajst-10512	19	37	of	of	ADP
ajst-10512	19	38	visual	visual	ADJ
ajst-10512	19	39	and	and	CCONJ
ajst-10512	19	40	auditory	auditory	ADJ
ajst-10512	19	41	information	information	NOUN
ajst-10512	19	42	"	"	PUNCT
ajst-10512	19	43	major	major	ADJ
ajst-10512	19	44	research	research	NOUN
ajst-10512	19	45	program	program	NOUN
ajst-10512	19	46	.	.	PUNCT
ajst-10512	20	1	the	the	DET
ajst-10512	20	2	implementation	implementation	NOUN
ajst-10512	20	3	of	of	ADP
ajst-10512	20	4	these	these	DET
ajst-10512	20	5	projects	project	NOUN
ajst-10512	20	6	has	have	AUX
ajst-10512	20	7	promoted	promote	VERB
ajst-10512	20	8	china	china	PROPN
ajst-10512	20	9	's	's	PART
ajst-10512	20	10	research	research	NOUN
ajst-10512	20	11	in	in	ADP
ajst-10512	20	12	this	this	DET
ajst-10512	20	13	field	field	NOUN
ajst-10512	20	14	,	,	PUNCT
ajst-10512	20	15	and	and	CCONJ
ajst-10512	20	16	produced	produce	VERB
ajst-10512	20	17	a	a	DET
ajst-10512	20	18	number	number	NOUN
ajst-10512	20	19	of	of	ADP
ajst-10512	20	20	results	result	NOUN
ajst-10512	20	21	that	that	PRON
ajst-10512	20	22	have	have	AUX
ajst-10512	20	23	reached	reach	VERB
ajst-10512	20	24	the	the	DET
ajst-10512	20	25	international	international	ADJ
ajst-10512	20	26	level	level	NOUN
ajst-10512	20	27	.	.	PUNCT
ajst-10512	21	1	however	however	ADV
ajst-10512	21	2	,	,	PUNCT
ajst-10512	21	3	since	since	SCONJ
ajst-10512	21	4	the	the	DET
ajst-10512	21	5	understanding	understanding	NOUN
ajst-10512	21	6	of	of	ADP
ajst-10512	21	7	visual	visual	ADJ
ajst-10512	21	8	data	data	PROPN
ajst-10512	21	9	association	association	NOUN
ajst-10512	21	10	is	be	AUX
ajst-10512	21	11	a	a	DET
ajst-10512	21	12	very	very	ADV
ajst-10512	21	13	challenging	challenging	ADJ
ajst-10512	21	14	problem	problem	NOUN
ajst-10512	21	15	,	,	PUNCT
ajst-10512	21	16	the	the	DET
ajst-10512	21	17	existing	exist	VERB
ajst-10512	21	18	research	research	NOUN
ajst-10512	21	19	still	still	ADV
ajst-10512	21	20	needs	need	VERB
ajst-10512	21	21	to	to	PART
ajst-10512	21	22	conduct	conduct	VERB
ajst-10512	21	23	in	in	ADP
ajst-10512	21	24	-	-	PUNCT
ajst-10512	21	25	depth	depth	NOUN
ajst-10512	21	26	study	study	NOUN
ajst-10512	21	27	on	on	ADP
ajst-10512	21	28	the	the	DET
ajst-10512	21	29	organic	organic	ADJ
ajst-10512	21	30	combination	combination	NOUN
ajst-10512	21	31	of	of	ADP
ajst-10512	21	32	the	the	DET
ajst-10512	21	33	characteristics	characteristic	NOUN
ajst-10512	21	34	of	of	ADP
ajst-10512	21	35	human	human	ADJ
ajst-10512	21	36	visual	visual	ADJ
ajst-10512	21	37	cognition	cognition	NOUN
ajst-10512	21	38	,	,	PUNCT
ajst-10512	21	39	the	the	DET
ajst-10512	21	40	inherent	inherent	ADJ
ajst-10512	21	41	characteristics	characteristic	NOUN
ajst-10512	21	42	of	of	ADP
ajst-10512	21	43	visual	visual	ADJ
ajst-10512	21	44	objects	object	NOUN
ajst-10512	21	45	and	and	CCONJ
ajst-10512	21	46	the	the	DET
ajst-10512	21	47	characteristics	characteristic	NOUN
ajst-10512	21	48	of	of	ADP
ajst-10512	21	49	visual	visual	ADJ
ajst-10512	21	50	computing	computing	NOUN
ajst-10512	21	51	.	.	PUNCT
ajst-10512	22	1	2.2	2.2	NUM
ajst-10512	22	2	.	.	PUNCT
ajst-10512	23	1	modeling	modeling	NOUN
ajst-10512	23	2	and	and	CCONJ
ajst-10512	23	3	learning	learning	NOUN
ajst-10512	23	4	of	of	ADP
ajst-10512	23	5	visual	visual	ADJ
ajst-10512	23	6	semantic	semantic	ADJ
ajst-10512	23	7	objects	object	NOUN
ajst-10512	23	8	the	the	DET
ajst-10512	23	9	core	core	NOUN
ajst-10512	23	10	of	of	ADP
ajst-10512	23	11	the	the	DET
ajst-10512	23	12	representation	representation	NOUN
ajst-10512	23	13	problem	problem	NOUN
ajst-10512	23	14	is	be	AUX
ajst-10512	23	15	the	the	DET
ajst-10512	23	16	modeling	modeling	NOUN
ajst-10512	23	17	and	and	CCONJ
ajst-10512	23	18	learning	learn	VERB
ajst-10512	23	19	methods	method	NOUN
ajst-10512	23	20	for	for	ADP
ajst-10512	23	21	visual	visual	ADJ
ajst-10512	23	22	objects	object	NOUN
ajst-10512	23	23	.	.	PUNCT
ajst-10512	24	1	existing	exist	VERB
ajst-10512	24	2	research	research	NOUN
ajst-10512	24	3	ideas	idea	NOUN
ajst-10512	24	4	can	can	AUX
ajst-10512	24	5	be	be	AUX
ajst-10512	24	6	summarized	summarize	VERB
ajst-10512	24	7	as	as	ADP
ajst-10512	24	8	obtaining	obtain	VERB
ajst-10512	24	9	a	a	DET
ajst-10512	24	10	hierarchical	hierarchical	ADJ
ajst-10512	24	11	model	model	NOUN
ajst-10512	24	12	for	for	ADP
ajst-10512	24	13	representing	represent	VERB
ajst-10512	24	14	holistic	holistic	ADJ
ajst-10512	24	15	semantics	semantic	NOUN
ajst-10512	24	16	by	by	ADP
ajst-10512	24	17	improving	improve	VERB
ajst-10512	24	18	the	the	DET
ajst-10512	24	19	representation	representation	NOUN
ajst-10512	24	20	ability	ability	NOUN
ajst-10512	24	21	of	of	ADP
ajst-10512	24	22	feature	feature	NOUN
ajst-10512	24	23	and	and	CCONJ
ajst-10512	24	24	generative	generative	ADJ
ajst-10512	24	25	visual	visual	ADJ
ajst-10512	24	26	object	object	NOUN
ajst-10512	24	27	models	model	NOUN
ajst-10512	24	28	,	,	PUNCT
ajst-10512	24	29	the	the	DET
ajst-10512	24	30	discriminative	discriminative	NOUN
ajst-10512	24	31	ability	ability	NOUN
ajst-10512	24	32	of	of	ADP
ajst-10512	24	33	discriminative	discriminative	NOUN
ajst-10512	24	34	models	model	NOUN
ajst-10512	24	35	,	,	PUNCT
ajst-10512	24	36	and	and	CCONJ
ajst-10512	24	37	the	the	DET
ajst-10512	24	38	performance	performance	NOUN
ajst-10512	24	39	of	of	ADP
ajst-10512	24	40	learning	learn	VERB
ajst-10512	24	41	algorithms	algorithm	NOUN
ajst-10512	24	42	.	.	PUNCT
ajst-10512	25	1	visual	visual	ADJ
ajst-10512	25	2	data	datum	NOUN
ajst-10512	25	3	has	have	VERB
ajst-10512	25	4	properties	property	NOUN
ajst-10512	25	5	that	that	PRON
ajst-10512	25	6	increase	increase	VERB
ajst-10512	25	7	the	the	DET
ajst-10512	25	8	difficulty	difficulty	NOUN
ajst-10512	25	9	of	of	ADP
ajst-10512	25	10	visual	visual	ADJ
ajst-10512	25	11	object	object	NOUN
ajst-10512	25	12	representation	representation	NOUN
ajst-10512	25	13	.	.	PUNCT
ajst-10512	26	1	in	in	ADP
ajst-10512	26	2	terms	term	NOUN
ajst-10512	26	3	of	of	ADP
ajst-10512	26	4	visual	visual	ADJ
ajst-10512	26	5	knowledge	knowledge	NOUN
ajst-10512	26	6	representation	representation	NOUN
ajst-10512	26	7	,	,	PUNCT
ajst-10512	26	8	visual	visual	ADJ
ajst-10512	26	9	words	word	NOUN
ajst-10512	26	10	(	(	PUNCT
ajst-10512	26	11	visual	visual	ADJ
ajst-10512	26	12	words	word	NOUN
ajst-10512	26	13	)	)	PUNCT
ajst-10512	26	14	and	and	CCONJ
ajst-10512	26	15	visual	visual	ADJ
ajst-10512	26	16	grammar	grammar	NOUN
ajst-10512	26	17	[	[	X
ajst-10512	26	18	1	1	X
ajst-10512	26	19	]	]	PUNCT
ajst-10512	26	20	have	have	AUX
ajst-10512	26	21	been	be	AUX
ajst-10512	26	22	proposed	propose	VERB
ajst-10512	26	23	for	for	ADP
ajst-10512	26	24	representing	represent	VERB
ajst-10512	26	25	image	image	NOUN
ajst-10512	26	26	and	and	CCONJ
ajst-10512	26	27	video	video	NOUN
ajst-10512	26	28	data	datum	NOUN
ajst-10512	26	29	.	.	PUNCT
ajst-10512	27	1	however	however	ADV
ajst-10512	27	2	,	,	PUNCT
ajst-10512	27	3	the	the	DET
ajst-10512	27	4	room	room	NOUN
ajst-10512	27	5	for	for	ADP
ajst-10512	27	6	performance	performance	NOUN
ajst-10512	27	7	improvement	improvement	NOUN
ajst-10512	27	8	in	in	ADP
ajst-10512	27	9	designing	design	VERB
ajst-10512	27	10	visual	visual	ADJ
ajst-10512	27	11	object	object	NOUN
ajst-10512	27	12	models	model	NOUN
ajst-10512	27	13	using	use	VERB
ajst-10512	27	14	only	only	ADV
ajst-10512	27	15	the	the	DET
ajst-10512	27	16	underlying	underlie	VERB
ajst-10512	27	17	cues	cue	NOUN
ajst-10512	27	18	with	with	ADP
ajst-10512	27	19	a	a	DET
ajst-10512	27	20	bottom	bottom	ADJ
ajst-10512	27	21	-	-	PUNCT
ajst-10512	27	22	up	up	ADP
ajst-10512	27	23	approach	approach	NOUN
ajst-10512	27	24	or	or	CCONJ
ajst-10512	27	25	a	a	DET
ajst-10512	27	26	top	top	ADJ
ajst-10512	27	27	-	-	PUNCT
ajst-10512	27	28	down	down	ADP
ajst-10512	27	29	approach	approach	NOUN
ajst-10512	27	30	based	base	VERB
ajst-10512	27	31	on	on	ADP
ajst-10512	27	32	limited	limit	VERB
ajst-10512	27	33	a	a	DET
ajst-10512	27	34	priori	priori	ADJ
ajst-10512	27	35	information	information	NOUN
ajst-10512	27	36	is	be	AUX
ajst-10512	27	37	extremely	extremely	ADV
ajst-10512	27	38	limited	limited	ADJ
ajst-10512	27	39	,	,	PUNCT
ajst-10512	27	40	and	and	CCONJ
ajst-10512	27	41	there	there	PRON
ajst-10512	27	42	is	be	VERB
ajst-10512	27	43	a	a	DET
ajst-10512	27	44	need	need	NOUN
ajst-10512	27	45	to	to	PART
ajst-10512	27	46	integrate	integrate	VERB
ajst-10512	27	47	different	different	ADJ
ajst-10512	27	48	cues	cue	NOUN
ajst-10512	27	49	under	under	ADP
ajst-10512	27	50	the	the	DET
ajst-10512	27	51	framework	framework	NOUN
ajst-10512	27	52	of	of	ADP
ajst-10512	27	53	a	a	DET
ajst-10512	27	54	unified	unified	ADJ
ajst-10512	27	55	generative	generative	ADJ
ajst-10512	27	56	model	model	NOUN
ajst-10512	27	57	integrating	integrate	VERB
ajst-10512	27	58	a	a	DET
ajst-10512	27	59	priori	priori	ADJ
ajst-10512	27	60	knowledge	knowledge	NOUN
ajst-10512	27	61	and	and	CCONJ
ajst-10512	27	62	data	datum	NOUN
ajst-10512	27	63	-	-	PUNCT
ajst-10512	27	64	driven	drive	VERB
ajst-10512	27	65	learning	learning	NOUN
ajst-10512	27	66	generalization	generalization	NOUN
ajst-10512	27	67	theory	theory	NOUN
ajst-10512	27	68	in	in	ADP
ajst-10512	27	69	order	order	NOUN
ajst-10512	27	70	to	to	PART
ajst-10512	27	71	improve	improve	VERB
ajst-10512	27	72	the	the	DET
ajst-10512	27	73	descriptive	descriptive	ADJ
ajst-10512	27	74	capability	capability	NOUN
ajst-10512	27	75	of	of	ADP
ajst-10512	27	76	visual	visual	ADJ
ajst-10512	27	77	objects	object	NOUN
ajst-10512	27	78	and	and	CCONJ
ajst-10512	27	79	the	the	DET
ajst-10512	27	80	efficiency	efficiency	NOUN
ajst-10512	27	81	of	of	ADP
ajst-10512	27	82	learning	learn	VERB
ajst-10512	27	83	algorithms	algorithm	NOUN
ajst-10512	27	84	.	.	PUNCT
ajst-10512	28	1	in	in	ADP
ajst-10512	28	2	terms	term	NOUN
ajst-10512	28	3	of	of	ADP
ajst-10512	28	4	feature	feature	NOUN
ajst-10512	28	5	extraction	extraction	NOUN
ajst-10512	28	6	and	and	CCONJ
ajst-10512	28	7	representation	representation	NOUN
ajst-10512	28	8	,	,	PUNCT
ajst-10512	28	9	heterogeneous	heterogeneous	ADJ
ajst-10512	28	10	features	feature	NOUN
ajst-10512	28	11	extracted	extract	VERB
ajst-10512	28	12	from	from	ADP
ajst-10512	28	13	traditional	traditional	ADJ
ajst-10512	28	14	text	text	NOUN
ajst-10512	28	15	,	,	PUNCT
ajst-10512	28	16	image	image	NOUN
ajst-10512	28	17	and	and	CCONJ
ajst-10512	28	18	video	video	NOUN
ajst-10512	28	19	representations	representation	NOUN
ajst-10512	28	20	are	be	AUX
ajst-10512	28	21	often	often	ADV
ajst-10512	28	22	collapsed	collapse	VERB
ajst-10512	28	23	into	into	ADP
ajst-10512	28	24	highdimensional	highdimensional	ADJ
ajst-10512	28	25	vectors	vector	NOUN
ajst-10512	28	26	,	,	PUNCT
ajst-10512	28	27	which	which	PRON
ajst-10512	28	28	not	not	PART
ajst-10512	28	29	only	only	ADV
ajst-10512	28	30	leads	lead	VERB
ajst-10512	28	31	to	to	ADP
ajst-10512	28	32	dimensionality	dimensionality	NOUN
ajst-10512	28	33	disaster	disaster	NOUN
ajst-10512	28	34	,	,	PUNCT
ajst-10512	28	35	but	but	CCONJ
ajst-10512	28	36	also	also	ADV
ajst-10512	28	37	loses	lose	VERB
ajst-10512	28	38	the	the	DET
ajst-10512	28	39	structural	structural	ADJ
ajst-10512	28	40	constraints	constraint	NOUN
ajst-10512	28	41	present	present	ADJ
ajst-10512	28	42	in	in	ADP
ajst-10512	28	43	the	the	DET
ajst-10512	28	44	original	original	ADJ
ajst-10512	28	45	data	datum	NOUN
ajst-10512	28	46	.	.	PUNCT
ajst-10512	29	1	secondly	secondly	ADV
ajst-10512	29	2	,	,	PUNCT
ajst-10512	29	3	there	there	PRON
ajst-10512	29	4	is	be	VERB
ajst-10512	29	5	not	not	PART
ajst-10512	29	6	a	a	DET
ajst-10512	29	7	simple	simple	ADJ
ajst-10512	29	8	and	and	CCONJ
ajst-10512	29	9	clear	clear	ADJ
ajst-10512	29	10	correspondence	correspondence	NOUN
ajst-10512	29	11	between	between	ADP
ajst-10512	29	12	the	the	DET
ajst-10512	29	13	underlying	underlie	VERB
ajst-10512	29	14	description	description	NOUN
ajst-10512	29	15	and	and	CCONJ
ajst-10512	29	16	the	the	DET
ajst-10512	29	17	higher	high	ADJ
ajst-10512	29	18	-	-	PUNCT
ajst-10512	29	19	level	level	NOUN
ajst-10512	29	20	semantics	semantic	NOUN
ajst-10512	29	21	,	,	PUNCT
ajst-10512	29	22	e.g.	e.g.	ADV
ajst-10512	29	23	,	,	PUNCT
ajst-10512	29	24	one	one	PRON
ajst-10512	29	25	can	can	AUX
ajst-10512	29	26	not	not	PART
ajst-10512	29	27	understand	understand	VERB
ajst-10512	29	28	the	the	DET
ajst-10512	29	29	theme	theme	NOUN
ajst-10512	29	30	of	of	ADP
ajst-10512	29	31	a	a	DET
ajst-10512	29	32	video	video	NOUN
ajst-10512	29	33	just	just	ADV
ajst-10512	29	34	from	from	ADP
ajst-10512	29	35	the	the	DET
ajst-10512	29	36	underlying	underlie	VERB
ajst-10512	29	37	features	feature	NOUN
ajst-10512	29	38	such	such	ADJ
ajst-10512	29	39	as	as	ADP
ajst-10512	29	40	color	color	NOUN
ajst-10512	29	41	and	and	CCONJ
ajst-10512	29	42	texture	texture	NOUN
ajst-10512	29	43	,	,	PUNCT
ajst-10512	29	44	which	which	PRON
ajst-10512	29	45	is	be	AUX
ajst-10512	29	46	also	also	ADV
ajst-10512	29	47	an	an	DET
ajst-10512	29	48	important	important	ADJ
ajst-10512	29	49	reason	reason	NOUN
ajst-10512	29	50	for	for	ADP
ajst-10512	29	51	the	the	DET
ajst-10512	29	52	semantic	semantic	ADJ
ajst-10512	29	53	divide	divide	NOUN
ajst-10512	29	54	.	.	PUNCT
ajst-10512	30	1	recently	recently	ADV
ajst-10512	30	2	,	,	PUNCT
ajst-10512	30	3	researchers	researcher	NOUN
ajst-10512	30	4	have	have	AUX
ajst-10512	30	5	begun	begin	VERB
ajst-10512	30	6	to	to	PART
ajst-10512	30	7	gradually	gradually	ADV
ajst-10512	30	8	realize	realize	VERB
ajst-10512	30	9	that	that	SCONJ
ajst-10512	30	10	machine	machine	NOUN
ajst-10512	30	11	learning	learning	NOUN
ajst-10512	30	12	may	may	AUX
ajst-10512	30	13	be	be	AUX
ajst-10512	30	14	one	one	NUM
ajst-10512	30	15	of	of	ADP
ajst-10512	30	16	the	the	DET
ajst-10512	30	17	ways	way	NOUN
ajst-10512	30	18	to	to	PART
ajst-10512	30	19	solve	solve	VERB
ajst-10512	30	20	the	the	DET
ajst-10512	30	21	semantic	semantic	ADJ
ajst-10512	30	22	divide	divide	NOUN
ajst-10512	30	23	problem	problem	NOUN
ajst-10512	30	24	,	,	PUNCT
ajst-10512	30	25	and	and	CCONJ
ajst-10512	30	26	have	have	AUX
ajst-10512	30	27	begun	begin	VERB
ajst-10512	30	28	to	to	PART
ajst-10512	30	29	work	work	VERB
ajst-10512	30	30	on	on	ADP
ajst-10512	30	31	visual	visual	ADJ
ajst-10512	30	32	object	object	NOUN
ajst-10512	30	33	modeling	modeling	NOUN
ajst-10512	30	34	from	from	ADP
ajst-10512	30	35	the	the	DET
ajst-10512	30	36	perspective	perspective	NOUN
ajst-10512	30	37	of	of	ADP
ajst-10512	30	38	visual	visual	ADJ
ajst-10512	30	39	object	object	NOUN
ajst-10512	30	40	categorization	categorization	NOUN
ajst-10512	30	41	and	and	CCONJ
ajst-10512	30	42	learning	learn	VERB
ajst-10512	30	43	research	research	NOUN
ajst-10512	30	44	.	.	PUNCT
ajst-10512	31	1	initially	initially	ADV
ajst-10512	31	2	,	,	PUNCT
ajst-10512	31	3	the	the	DET
ajst-10512	31	4	typical	typical	ADJ
ajst-10512	31	5	approach	approach	NOUN
ajst-10512	31	6	is	be	AUX
ajst-10512	31	7	to	to	PART
ajst-10512	31	8	consider	consider	VERB
ajst-10512	31	9	the	the	DET
ajst-10512	31	10	high	high	ADJ
ajst-10512	31	11	-	-	PUNCT
ajst-10512	31	12	level	level	NOUN
ajst-10512	31	13	semantic	semantic	ADJ
ajst-10512	31	14	keywords	keyword	NOUN
ajst-10512	31	15	or	or	CCONJ
ajst-10512	31	16	concepts	concept	NOUN
ajst-10512	31	17	as	as	ADP
ajst-10512	31	18	mutually	mutually	ADV
ajst-10512	31	19	independent	independent	ADJ
ajst-10512	31	20	classifications	classification	NOUN
ajst-10512	31	21	,	,	PUNCT
ajst-10512	31	22	and	and	CCONJ
ajst-10512	31	23	then	then	ADV
ajst-10512	31	24	based	base	VERB
ajst-10512	31	25	on	on	ADP
ajst-10512	31	26	the	the	DET
ajst-10512	31	27	extracted	extract	VERB
ajst-10512	31	28	underlying	underlie	VERB
ajst-10512	31	29	features	feature	NOUN
ajst-10512	31	30	,	,	PUNCT
ajst-10512	31	31	classifiers	classifier	NOUN
ajst-10512	31	32	for	for	ADP
ajst-10512	31	33	these	these	DET
ajst-10512	31	34	concepts	concept	NOUN
ajst-10512	31	35	are	be	AUX
ajst-10512	31	36	investigated	investigate	VERB
ajst-10512	31	37	by	by	ADP
ajst-10512	31	38	algorithms	algorithm	NOUN
ajst-10512	31	39	such	such	ADJ
ajst-10512	31	40	as	as	ADP
ajst-10512	31	41	support	support	NOUN
ajst-10512	31	42	vector	vector	NOUN
ajst-10512	31	43	machine	machine	NOUN
ajst-10512	31	44	(	(	PUNCT
ajst-10512	31	45	svm	svm	PROPN
ajst-10512	31	46	)	)	PUNCT
ajst-10512	31	47	,	,	PUNCT
ajst-10512	31	48	naive	naive	ADJ
ajst-10512	31	49	bayes	bayes	NOUN
ajst-10512	31	50	,	,	PUNCT
ajst-10512	31	51	and	and	CCONJ
ajst-10512	31	52	so	so	ADV
ajst-10512	31	53	on	on	ADV
ajst-10512	31	54	.	.	PUNCT
ajst-10512	32	1	since	since	SCONJ
ajst-10512	32	2	then	then	ADV
ajst-10512	32	3	,	,	PUNCT
ajst-10512	32	4	some	some	DET
ajst-10512	32	5	researchers	researcher	NOUN
ajst-10512	32	6	have	have	AUX
ajst-10512	32	7	proposed	propose	VERB
ajst-10512	32	8	the	the	DET
ajst-10512	32	9	idea	idea	NOUN
ajst-10512	32	10	of	of	ADP
ajst-10512	32	11	using	use	VERB
ajst-10512	32	12	machine	machine	NOUN
ajst-10512	32	13	learning	learning	NOUN
ajst-10512	32	14	methods	method	NOUN
ajst-10512	32	15	to	to	PART
ajst-10512	32	16	learn	learn	VERB
ajst-10512	32	17	and	and	CCONJ
ajst-10512	32	18	establish	establish	VERB
ajst-10512	32	19	the	the	DET
ajst-10512	32	20	mapping	mapping	NOUN
ajst-10512	32	21	relationship	relationship	NOUN
ajst-10512	32	22	between	between	ADP
ajst-10512	32	23	the	the	DET
ajst-10512	32	24	underlying	underlie	VERB
ajst-10512	32	25	features	feature	NOUN
ajst-10512	32	26	and	and	CCONJ
ajst-10512	32	27	the	the	DET
ajst-10512	32	28	semantics	semantic	NOUN
ajst-10512	32	29	,	,	PUNCT
ajst-10512	32	30	and	and	CCONJ
ajst-10512	32	31	estimate	estimate	VERB
ajst-10512	32	32	the	the	DET
ajst-10512	32	33	joint	joint	ADJ
ajst-10512	32	34	probability	probability	NOUN
ajst-10512	32	35	distribution	distribution	NOUN
ajst-10512	32	36	information	information	NOUN
ajst-10512	32	37	between	between	ADP
ajst-10512	32	38	the	the	DET
ajst-10512	32	39	underlying	underlie	VERB
ajst-10512	32	40	features	feature	NOUN
ajst-10512	32	41	and	and	CCONJ
ajst-10512	32	42	the	the	DET
ajst-10512	32	43	semantic	semantic	ADJ
ajst-10512	32	44	keywords	keyword	NOUN
ajst-10512	32	45	to	to	PART
ajst-10512	32	46	establish	establish	VERB
ajst-10512	32	47	the	the	DET
ajst-10512	32	48	connection	connection	NOUN
ajst-10512	32	49	between	between	ADP
ajst-10512	32	50	them	they	PRON
ajst-10512	32	51	by	by	ADP
ajst-10512	32	52	learning	learn	VERB
ajst-10512	32	53	the	the	DET
ajst-10512	32	54	training	training	NOUN
ajst-10512	32	55	sample	sample	NOUN
ajst-10512	32	56	set	set	NOUN
ajst-10512	32	57	.	.	PUNCT
ajst-10512	33	1	in	in	ADP
ajst-10512	33	2	summary	summary	NOUN
ajst-10512	33	3	,	,	PUNCT
ajst-10512	33	4	the	the	DET
ajst-10512	33	5	current	current	ADJ
ajst-10512	33	6	research	research	NOUN
ajst-10512	33	7	on	on	ADP
ajst-10512	33	8	visual	visual	ADJ
ajst-10512	33	9	object	object	NOUN
ajst-10512	33	10	modeling	modeling	NOUN
ajst-10512	33	11	and	and	CCONJ
ajst-10512	33	12	learning	learning	NOUN
ajst-10512	33	13	is	be	AUX
ajst-10512	33	14	facing	face	VERB
ajst-10512	33	15	prominent	prominent	ADJ
ajst-10512	33	16	problems	problem	NOUN
ajst-10512	33	17	:	:	PUNCT
ajst-10512	34	1	i	i	NOUN
ajst-10512	34	2	)	)	PUNCT
ajst-10512	34	3	whether	whether	SCONJ
ajst-10512	34	4	the	the	DET
ajst-10512	34	5	feature	feature	NOUN
ajst-10512	34	6	representation	representation	NOUN
ajst-10512	34	7	hierarchy	hierarchy	NOUN
ajst-10512	34	8	is	be	AUX
ajst-10512	34	9	reasonable	reasonable	ADJ
ajst-10512	34	10	and	and	CCONJ
ajst-10512	34	11	sufficient	sufficient	ADJ
ajst-10512	34	12	;	;	PUNCT
ajst-10512	34	13	ii	ii	X
ajst-10512	34	14	)	)	PUNCT
ajst-10512	34	15	how	how	SCONJ
ajst-10512	34	16	to	to	PART
ajst-10512	34	17	achieve	achieve	VERB
ajst-10512	34	18	a	a	DET
ajst-10512	34	19	global	global	ADJ
ajst-10512	34	20	semantic	semantic	ADJ
ajst-10512	34	21	description	description	NOUN
ajst-10512	34	22	of	of	ADP
ajst-10512	34	23	visual	visual	ADJ
ajst-10512	34	24	data	datum	NOUN
ajst-10512	34	25	.	.	PUNCT
ajst-10512	35	1	the	the	DET
ajst-10512	35	2	lack	lack	NOUN
ajst-10512	35	3	of	of	ADP
ajst-10512	35	4	research	research	NOUN
ajst-10512	35	5	on	on	ADP
ajst-10512	35	6	these	these	DET
ajst-10512	35	7	two	two	NUM
ajst-10512	35	8	issues	issue	NOUN
ajst-10512	35	9	directly	directly	ADV
ajst-10512	35	10	affects	affect	VERB
ajst-10512	35	11	the	the	DET
ajst-10512	35	12	progress	progress	NOUN
ajst-10512	35	13	of	of	ADP
ajst-10512	35	14	visual	visual	ADJ
ajst-10512	35	15	data	datum	NOUN
ajst-10512	35	16	understanding	understand	VERB
ajst-10512	35	17	research	research	NOUN
ajst-10512	35	18	.	.	PUNCT
ajst-10512	36	1	2.3	2.3	NUM
ajst-10512	36	2	.	.	PUNCT
ajst-10512	37	1	computational	computational	ADJ
ajst-10512	37	2	problems	problem	NOUN
ajst-10512	37	3	for	for	ADP
ajst-10512	37	4	intrinsic	intrinsic	ADJ
ajst-10512	37	5	properties	property	NOUN
ajst-10512	37	6	of	of	ADP
ajst-10512	37	7	visual	visual	ADJ
ajst-10512	37	8	data	datum	NOUN
ajst-10512	37	9	after	after	ADP
ajst-10512	37	10	establishing	establish	VERB
ajst-10512	37	11	the	the	DET
ajst-10512	37	12	visual	visual	ADJ
ajst-10512	37	13	object	object	NOUN
ajst-10512	37	14	representation	representation	NOUN
ajst-10512	37	15	model	model	NOUN
ajst-10512	37	16	and	and	CCONJ
ajst-10512	37	17	learning	learning	NOUN
ajst-10512	37	18	algorithm	algorithm	NOUN
ajst-10512	37	19	,	,	PUNCT
ajst-10512	37	20	we	we	PRON
ajst-10512	37	21	need	need	VERB
ajst-10512	37	22	to	to	PART
ajst-10512	37	23	solve	solve	VERB
ajst-10512	37	24	the	the	DET
ajst-10512	37	25	complex	complex	ADJ
ajst-10512	37	26	computational	computational	ADJ
ajst-10512	37	27	problems	problem	NOUN
ajst-10512	37	28	such	such	ADJ
ajst-10512	37	29	as	as	ADP
ajst-10512	37	30	feature	feature	NOUN
ajst-10512	37	31	dimensionality	dimensionality	NOUN
ajst-10512	37	32	reduction	reduction	NOUN
ajst-10512	37	33	and	and	CCONJ
ajst-10512	37	34	correlation	correlation	NOUN
ajst-10512	37	35	,	,	PUNCT
ajst-10512	37	36	and	and	CCONJ
ajst-10512	37	37	feature	feature	NOUN
ajst-10512	37	38	-	-	PUNCT
ajst-10512	37	39	to	to	ADP
ajst-10512	37	40	-	-	PUNCT
ajst-10512	37	41	higher	high	ADJ
ajst-10512	37	42	-	-	PUNCT
ajst-10512	37	43	level	level	NOUN
ajst-10512	37	44	semantic	semantic	ADJ
ajst-10512	37	45	mapping	mapping	NOUN
ajst-10512	37	46	due	due	ADP
ajst-10512	37	47	to	to	ADP
ajst-10512	37	48	the	the	DET
ajst-10512	37	49	high	high	ADV
ajst-10512	37	50	-	-	PUNCT
ajst-10512	37	51	dimensional	dimensional	ADJ
ajst-10512	37	52	,	,	PUNCT
ajst-10512	37	53	heterogeneous	heterogeneous	ADJ
ajst-10512	37	54	,	,	PUNCT
ajst-10512	37	55	and	and	CCONJ
ajst-10512	37	56	multimodal	multimodal	NOUN
ajst-10512	37	57	characteristics	characteristic	NOUN
ajst-10512	37	58	of	of	ADP
ajst-10512	37	59	visual	visual	ADJ
ajst-10512	37	60	data	datum	NOUN
ajst-10512	37	61	.	.	PUNCT
ajst-10512	38	1	the	the	DET
ajst-10512	38	2	first	first	ADJ
ajst-10512	38	3	is	be	AUX
ajst-10512	38	4	the	the	DET
ajst-10512	38	5	dimensionality	dimensionality	NOUN
ajst-10512	38	6	reduction	reduction	NOUN
ajst-10512	38	7	of	of	ADP
ajst-10512	38	8	high	high	ADJ
ajst-10512	38	9	dimensional	dimensional	ADJ
ajst-10512	38	10	features	feature	NOUN
ajst-10512	38	11	.	.	PUNCT
ajst-10512	39	1	too	too	ADV
ajst-10512	39	2	high	high	ADJ
ajst-10512	39	3	dimensionality	dimensionality	NOUN
ajst-10512	39	4	can	can	AUX
ajst-10512	39	5	lead	lead	VERB
ajst-10512	39	6	to	to	ADP
ajst-10512	39	7	the	the	DET
ajst-10512	39	8	problem	problem	NOUN
ajst-10512	39	9	of	of	ADP
ajst-10512	39	10	curse	curse	NOUN
ajst-10512	39	11	of	of	ADP
ajst-10512	39	12	dimensionality	dimensionality	NOUN
ajst-10512	39	13	.	.	PUNCT
ajst-10512	40	1	professor	professor	NOUN
ajst-10512	40	2	donoho	donoho	PROPN
ajst-10512	40	3	of	of	ADP
ajst-10512	40	4	stanford	stanford	PROPN
ajst-10512	40	5	university	university	PROPN
ajst-10512	40	6	has	have	AUX
ajst-10512	40	7	listed	list	VERB
ajst-10512	40	8	high	high	ADJ
ajst-10512	40	9	-	-	PUNCT
ajst-10512	40	10	dimensional	dimensional	ADJ
ajst-10512	40	11	data	datum	NOUN
ajst-10512	40	12	analysis	analysis	NOUN
ajst-10512	40	13	and	and	CCONJ
ajst-10512	40	14	processing	processing	NOUN
ajst-10512	40	15	as	as	ADP
ajst-10512	40	16	a	a	DET
ajst-10512	40	17	hot	hot	ADJ
ajst-10512	40	18	topic	topic	NOUN
ajst-10512	40	19	.	.	PUNCT
ajst-10512	41	1	recently	recently	ADV
ajst-10512	41	2	,	,	PUNCT
ajst-10512	41	3	it	it	PRON
ajst-10512	41	4	has	have	AUX
ajst-10512	41	5	been	be	AUX
ajst-10512	41	6	widely	widely	ADV
ajst-10512	41	7	recognized	recognize	VERB
ajst-10512	41	8	that	that	SCONJ
ajst-10512	41	9	the	the	DET
ajst-10512	41	10	intrinsic	intrinsic	ADJ
ajst-10512	41	11	dimensionality	dimensionality	NOUN
ajst-10512	41	12	of	of	ADP
ajst-10512	41	13	visual	visual	ADJ
ajst-10512	41	14	data	datum	NOUN
ajst-10512	41	15	is	be	AUX
ajst-10512	41	16	usually	usually	ADV
ajst-10512	41	17	much	much	ADV
ajst-10512	41	18	lower	low	ADJ
ajst-10512	41	19	than	than	ADP
ajst-10512	41	20	the	the	DET
ajst-10512	41	21	dimensionality	dimensionality	NOUN
ajst-10512	41	22	of	of	ADP
ajst-10512	41	23	the	the	DET
ajst-10512	41	24	feature	feature	NOUN
ajst-10512	41	25	vectors	vector	NOUN
ajst-10512	41	26	,	,	PUNCT
ajst-10512	41	27	so	so	SCONJ
ajst-10512	41	28	it	it	PRON
ajst-10512	41	29	is	be	AUX
ajst-10512	41	30	hoped	hope	VERB
ajst-10512	41	31	that	that	SCONJ
ajst-10512	41	32	efficient	efficient	ADJ
ajst-10512	41	33	computation	computation	NOUN
ajst-10512	41	34	can	can	AUX
ajst-10512	41	35	be	be	AUX
ajst-10512	41	36	achieved	achieve	VERB
ajst-10512	41	37	by	by	ADP
ajst-10512	41	38	dimensionality	dimensionality	NOUN
ajst-10512	41	39	reduction	reduction	NOUN
ajst-10512	41	40	of	of	ADP
ajst-10512	41	41	high	high	ADJ
ajst-10512	41	42	-	-	PUNCT
ajst-10512	41	43	dimensional	dimensional	ADJ
ajst-10512	41	44	data	datum	NOUN
ajst-10512	41	45	.	.	PUNCT
ajst-10512	42	1	in	in	ADP
ajst-10512	42	2	addition	addition	NOUN
ajst-10512	42	3	to	to	ADP
ajst-10512	42	4	the	the	DET
ajst-10512	42	5	classical	classical	ADJ
ajst-10512	42	6	dc	dc	PROPN
ajst-10512	42	7	)	)	PUNCT
ajst-10512	42	8	,	,	PUNCT
ajst-10512	42	9	which	which	PRON
ajst-10512	42	10	is	be	AUX
ajst-10512	42	11	a	a	DET
ajst-10512	42	12	method	method	NOUN
ajst-10512	42	13	for	for	ADP
ajst-10512	42	14	analyzing	analyze	VERB
ajst-10512	42	15	visual	visual	ADJ
ajst-10512	42	16	data	datum	NOUN
ajst-10512	42	17	.	.	PUNCT
ajst-10512	43	1	factorization	factorization	NOUN
ajst-10512	43	2	(	(	PUNCT
ajst-10512	43	3	nmf	nmf	NOUN
ajst-10512	43	4	)	)	PUNCT
ajst-10512	43	5	method	method	NOUN
ajst-10512	43	6	for	for	ADP
ajst-10512	43	7	face	face	NOUN
ajst-10512	43	8	recognition	recognition	NOUN
ajst-10512	43	9	and	and	CCONJ
ajst-10512	43	10	image	image	NOUN
ajst-10512	43	11	compression	compression	NOUN
ajst-10512	43	12	on	on	ADP
ajst-10512	43	13	matrix	matrix	NOUN
ajst-10512	43	14	computation	computation	NOUN
ajst-10512	43	15	[	[	X
ajst-10512	43	16	4	4	NUM
ajst-10512	43	17	]	]	PUNCT
ajst-10512	43	18	.	.	PUNCT
ajst-10512	44	1	"	"	PUNCT
ajst-10512	44	2	element	element	ADJ
ajst-10512	44	3	rearrangement	rearrangement	NOUN
ajst-10512	44	4	(	(	PUNCT
ajst-10512	44	5	element	element	NOUN
ajst-10512	44	6	rearrangement	rearrangement	NOUN
ajst-10512	44	7	)	)	PUNCT
ajst-10512	44	8	"	"	PUNCT
ajst-10512	44	9	study	study	NOUN
ajst-10512	44	10	also	also	ADV
ajst-10512	44	11	shows	show	VERB
ajst-10512	44	12	that	that	SCONJ
ajst-10512	44	13	maintaining	maintain	VERB
ajst-10512	44	14	the	the	DET
ajst-10512	44	15	topology	topology	NOUN
ajst-10512	44	16	of	of	ADP
ajst-10512	44	17	the	the	DET
ajst-10512	44	18	complex	complex	ADJ
ajst-10512	44	19	object	object	NOUN
ajst-10512	44	20	itself	itself	PRON
ajst-10512	44	21	during	during	ADP
ajst-10512	44	22	the	the	DET
ajst-10512	44	23	computation	computation	NOUN
ajst-10512	44	24	process	process	NOUN
ajst-10512	44	25	will	will	AUX
ajst-10512	44	26	achieve	achieve	VERB
ajst-10512	44	27	better	well	ADJ
ajst-10512	44	28	results	result	NOUN
ajst-10512	44	29	[	[	X
ajst-10512	44	30	5	5	NUM
ajst-10512	44	31	]	]	PUNCT
ajst-10512	44	32	.	.	PUNCT
ajst-10512	45	1	these	these	DET
ajst-10512	45	2	data	datum	NOUN
ajst-10512	45	3	structures	structure	NOUN
ajst-10512	45	4	have	have	AUX
ajst-10512	45	5	become	become	VERB
ajst-10512	45	6	a	a	DET
ajst-10512	45	7	hot	hot	ADJ
ajst-10512	45	8	research	research	NOUN
ajst-10512	45	9	topic	topic	NOUN
ajst-10512	45	10	because	because	SCONJ
ajst-10512	45	11	they	they	PRON
ajst-10512	45	12	can	can	AUX
ajst-10512	45	13	describe	describe	VERB
ajst-10512	45	14	the	the	DET
ajst-10512	45	15	topology	topology	NOUN
ajst-10512	45	16	between	between	ADP
ajst-10512	45	17	the	the	DET
ajst-10512	45	18	components	component	NOUN
ajst-10512	45	19	of	of	ADP
ajst-10512	45	20	complex	complex	ADJ
ajst-10512	45	21	visual	visual	ADJ
ajst-10512	45	22	objects	object	NOUN
ajst-10512	45	23	and	and	CCONJ
ajst-10512	45	24	effectively	effectively	ADV
ajst-10512	45	25	improve	improve	VERB
ajst-10512	45	26	the	the	DET
ajst-10512	45	27	computational	computational	ADJ
ajst-10512	45	28	efficiency	efficiency	NOUN
ajst-10512	45	29	.	.	PUNCT
ajst-10512	46	1	finally	finally	ADV
ajst-10512	46	2	,	,	PUNCT
ajst-10512	46	3	it	it	PRON
ajst-10512	46	4	is	be	AUX
ajst-10512	46	5	the	the	DET
ajst-10512	46	6	mapping	mapping	NOUN
ajst-10512	46	7	of	of	ADP
ajst-10512	46	8	features	feature	NOUN
ajst-10512	46	9	to	to	ADP
ajst-10512	46	10	high	high	ADJ
ajst-10512	46	11	-	-	PUNCT
ajst-10512	46	12	level	level	NOUN
ajst-10512	46	13	semantics	semantic	NOUN
ajst-10512	46	14	.	.	PUNCT
ajst-10512	47	1	context	context	NOUN
ajst-10512	47	2	-	-	PUNCT
ajst-10512	47	3	associated	associate	VERB
ajst-10512	47	4	multimodal	multimodal	NOUN
ajst-10512	47	5	features	feature	NOUN
ajst-10512	47	6	help	help	VERB
ajst-10512	47	7	to	to	PART
ajst-10512	47	8	understand	understand	VERB
ajst-10512	47	9	the	the	DET
ajst-10512	47	10	semantics	semantic	NOUN
ajst-10512	47	11	embedded	embed	VERB
ajst-10512	47	12	in	in	ADP
ajst-10512	47	13	media	medium	NOUN
ajst-10512	47	14	data	datum	NOUN
ajst-10512	47	15	,	,	PUNCT
ajst-10512	47	16	so	so	ADV
ajst-10512	47	17	how	how	SCONJ
ajst-10512	47	18	to	to	PART
ajst-10512	47	19	realize	realize	VERB
ajst-10512	47	20	the	the	DET
ajst-10512	47	21	effective	effective	ADJ
ajst-10512	47	22	fusion	fusion	NOUN
ajst-10512	47	23	of	of	ADP
ajst-10512	47	24	different	different	ADJ
ajst-10512	47	25	modal	modal	NOUN
ajst-10512	47	26	features	feature	NOUN
ajst-10512	47	27	through	through	ADP
ajst-10512	47	28	collaborative	collaborative	ADJ
ajst-10512	47	29	computation	computation	NOUN
ajst-10512	47	30	is	be	AUX
ajst-10512	47	31	also	also	ADV
ajst-10512	47	32	a	a	DET
ajst-10512	47	33	key	key	ADJ
ajst-10512	47	34	issue	issue	NOUN
ajst-10512	47	35	.	.	PUNCT
ajst-10512	48	1	traditional	traditional	ADJ
ajst-10512	48	2	visual	visual	ADJ
ajst-10512	48	3	data	datum	NOUN
ajst-10512	48	4	fusion	fusion	NOUN
ajst-10512	48	5	processing	processing	NOUN
ajst-10512	48	6	mainly	mainly	ADV
ajst-10512	48	7	adopts	adopt	VERB
ajst-10512	48	8	two	two	NUM
ajst-10512	48	9	approaches	approach	NOUN
ajst-10512	48	10	:	:	PUNCT
ajst-10512	48	11	feature	feature	NOUN
ajst-10512	48	12	layer	layer	NOUN
ajst-10512	48	13	fusion	fusion	NOUN
ajst-10512	48	14	and	and	CCONJ
ajst-10512	48	15	decision	decision	NOUN
ajst-10512	48	16	layer	layer	NOUN
ajst-10512	48	17	fusion	fusion	NOUN
ajst-10512	48	18	.	.	PUNCT
ajst-10512	49	1	these	these	DET
ajst-10512	49	2	methods	method	NOUN
ajst-10512	49	3	have	have	VERB
ajst-10512	49	4	their	their	PRON
ajst-10512	49	5	limitations	limitation	NOUN
ajst-10512	49	6	,	,	PUNCT
ajst-10512	49	7	and	and	CCONJ
ajst-10512	49	8	there	there	PRON
ajst-10512	49	9	is	be	VERB
ajst-10512	49	10	a	a	DET
ajst-10512	49	11	need	need	NOUN
ajst-10512	49	12	to	to	PART
ajst-10512	49	13	study	study	VERB
ajst-10512	49	14	the	the	DET
ajst-10512	49	15	theory	theory	NOUN
ajst-10512	49	16	and	and	CCONJ
ajst-10512	49	17	methods	method	NOUN
ajst-10512	49	18	of	of	ADP
ajst-10512	49	19	multimodal	multimodal	NOUN
ajst-10512	49	20	information	information	NOUN
ajst-10512	49	21	fusion	fusion	NOUN
ajst-10512	49	22	suitable	suitable	ADJ
ajst-10512	49	23	for	for	ADP
ajst-10512	49	24	visual	visual	ADJ
ajst-10512	49	25	data	datum	NOUN
ajst-10512	49	26	understanding	understanding	NOUN
ajst-10512	49	27	in	in	ADP
ajst-10512	49	28	networked	networked	ADJ
ajst-10512	49	29	environments	environment	NOUN
ajst-10512	49	30	.	.	PUNCT
ajst-10512	50	1	in	in	ADP
ajst-10512	50	2	summary	summary	NOUN
ajst-10512	50	3	,	,	PUNCT
ajst-10512	50	4	there	there	PRON
ajst-10512	50	5	have	have	AUX
ajst-10512	50	6	been	be	AUX
ajst-10512	50	7	many	many	ADJ
ajst-10512	50	8	studies	study	NOUN
ajst-10512	50	9	on	on	ADP
ajst-10512	50	10	computational	computational	ADJ
ajst-10512	50	11	methods	method	NOUN
ajst-10512	50	12	for	for	ADP
ajst-10512	50	13	inherently	inherently	ADV
ajst-10512	50	14	high	high	ADJ
ajst-10512	50	15	-	-	PUNCT
ajst-10512	50	16	dimensional	dimensional	ADJ
ajst-10512	50	17	,	,	PUNCT
ajst-10512	50	18	heterogeneous	heterogeneous	ADJ
ajst-10512	50	19	and	and	CCONJ
ajst-10512	50	20	multimodal	multimodal	ADJ
ajst-10512	50	21	visual	visual	ADJ
ajst-10512	50	22	data	datum	NOUN
ajst-10512	50	23	,	,	PUNCT
ajst-10512	50	24	such	such	ADJ
ajst-10512	50	25	as	as	ADP
ajst-10512	50	26	highdimensional	highdimensional	ADJ
ajst-10512	50	27	data	datum	NOUN
ajst-10512	50	28	dimensionality	dimensionality	NOUN
ajst-10512	50	29	reduction	reduction	NOUN
ajst-10512	50	30	,	,	PUNCT
ajst-10512	50	31	heterogeneous	heterogeneous	ADJ
ajst-10512	50	32	data	datum	NOUN
ajst-10512	50	33	processing	processing	NOUN
ajst-10512	50	34	,	,	PUNCT
ajst-10512	50	35	multimodal	multimodal	ADJ
ajst-10512	50	36	information	information	NOUN
ajst-10512	50	37	synthesis	synthesis	NOUN
ajst-10512	50	38	,	,	PUNCT
ajst-10512	50	39	etc	etc	X
ajst-10512	50	40	.	.	X
ajst-10512	50	41	,	,	PUNCT
ajst-10512	50	42	but	but	CCONJ
ajst-10512	50	43	there	there	PRON
ajst-10512	50	44	are	be	VERB
ajst-10512	50	45	still	still	ADV
ajst-10512	50	46	no	no	DET
ajst-10512	50	47	synergistic	synergistic	ADJ
ajst-10512	50	48	and	and	CCONJ
ajst-10512	50	49	efficient	efficient	ADJ
ajst-10512	50	50	computational	computational	ADJ
ajst-10512	50	51	techniques	technique	NOUN
ajst-10512	50	52	and	and	CCONJ
ajst-10512	50	53	methods	method	NOUN
ajst-10512	50	54	that	that	PRON
ajst-10512	50	55	can	can	AUX
ajst-10512	50	56	be	be	AUX
ajst-10512	50	57	adapted	adapt	VERB
ajst-10512	50	58	to	to	ADP
ajst-10512	50	59	the	the	DET
ajst-10512	50	60	understanding	understanding	NOUN
ajst-10512	50	61	of	of	ADP
ajst-10512	50	62	visual	visual	ADJ
ajst-10512	50	63	data	datum	NOUN
ajst-10512	50	64	.	.	PUNCT
ajst-10512	51	1	3	3	X
ajst-10512	51	2	.	.	X
ajst-10512	51	3	analysis	analysis	NOUN
ajst-10512	51	4	of	of	ADP
ajst-10512	51	5	development	development	NOUN
ajst-10512	51	6	trends	trend	NOUN
ajst-10512	51	7	the	the	DET
ajst-10512	51	8	great	great	ADJ
ajst-10512	51	9	demand	demand	NOUN
ajst-10512	51	10	for	for	ADP
ajst-10512	51	11	large	large	ADJ
ajst-10512	51	12	-	-	PUNCT
ajst-10512	51	13	scale	scale	NOUN
ajst-10512	51	14	visual	visual	ADJ
ajst-10512	51	15	data	datum	NOUN
ajst-10512	51	16	understanding	understanding	NOUN
ajst-10512	51	17	in	in	ADP
ajst-10512	51	18	the	the	DET
ajst-10512	51	19	network	network	NOUN
ajst-10512	51	20	environment	environment	NOUN
ajst-10512	51	21	presents	present	VERB
ajst-10512	51	22	two	two	NUM
ajst-10512	51	23	distinct	distinct	ADJ
ajst-10512	51	24	and	and	CCONJ
ajst-10512	51	25	intertwined	intertwine	VERB
ajst-10512	51	26	development	development	NOUN
ajst-10512	51	27	trends	trend	NOUN
ajst-10512	51	28	:	:	PUNCT
ajst-10512	51	29	(	(	PUNCT
ajst-10512	51	30	1	1	X
ajst-10512	51	31	)	)	PUNCT
ajst-10512	51	32	combining	combine	VERB
ajst-10512	51	33	new	new	ADJ
ajst-10512	51	34	theories	theory	NOUN
ajst-10512	51	35	and	and	CCONJ
ajst-10512	51	36	methods	method	NOUN
ajst-10512	51	37	of	of	ADP
ajst-10512	51	38	visual	visual	ADJ
ajst-10512	51	39	cognitive	cognitive	ADJ
ajst-10512	51	40	mechanisms	mechanism	NOUN
ajst-10512	51	41	,	,	PUNCT
ajst-10512	51	42	considering	consider	VERB
ajst-10512	51	43	the	the	DET
ajst-10512	51	44	two	two	NUM
ajst-10512	51	45	essential	essential	ADJ
ajst-10512	51	46	core	core	NOUN
ajst-10512	51	47	issues	issue	NOUN
ajst-10512	51	48	of	of	ADP
ajst-10512	51	49	visual	visual	ADJ
ajst-10512	51	50	data	datum	NOUN
ajst-10512	51	51	understanding	understanding	NOUN
ajst-10512	51	52	,	,	PUNCT
ajst-10512	51	53	representation	representation	NOUN
ajst-10512	51	54	and	and	CCONJ
ajst-10512	51	55	computation	computation	NOUN
ajst-10512	51	56	,	,	PUNCT
ajst-10512	51	57	as	as	ADP
ajst-10512	51	58	a	a	DET
ajst-10512	51	59	whole	whole	NOUN
ajst-10512	51	60	,	,	PUNCT
ajst-10512	51	61	and	and	CCONJ
ajst-10512	51	62	promoting	promote	VERB
ajst-10512	51	63	the	the	DET
ajst-10512	51	64	mutual	mutual	ADJ
ajst-10512	51	65	development	development	NOUN
ajst-10512	51	66	of	of	ADP
ajst-10512	51	67	visual	visual	ADJ
ajst-10512	51	68	data	datum	NOUN
ajst-10512	51	69	understanding	understanding	NOUN
ajst-10512	51	70	and	and	CCONJ
ajst-10512	51	71	cognitive	cognitive	ADJ
ajst-10512	51	72	mechanisms	mechanism	NOUN
ajst-10512	51	73	;	;	PUNCT
ajst-10512	51	74	(	(	PUNCT
ajst-10512	51	75	2	2	X
ajst-10512	51	76	)	)	PUNCT
ajst-10512	51	77	combining	combine	VERB
ajst-10512	51	78	116	116	NUM
ajst-10512	51	79	network	network	NOUN
ajst-10512	51	80	data	datum	NOUN
ajst-10512	51	81	,	,	PUNCT
ajst-10512	51	82	deeply	deeply	ADV
ajst-10512	51	83	exploring	explore	VERB
ajst-10512	51	84	and	and	CCONJ
ajst-10512	51	85	utilizing	utilize	VERB
ajst-10512	51	86	different	different	ADJ
ajst-10512	51	87	levels	level	NOUN
ajst-10512	51	88	and	and	CCONJ
ajst-10512	51	89	rich	rich	ADJ
ajst-10512	51	90	correlations	correlation	NOUN
ajst-10512	51	91	in	in	ADP
ajst-10512	51	92	high	high	ADV
ajst-10512	51	93	-	-	PUNCT
ajst-10512	51	94	dimensional	dimensional	ADJ
ajst-10512	51	95	,	,	PUNCT
ajst-10512	51	96	heterogeneous	heterogeneous	ADJ
ajst-10512	51	97	network	network	NOUN
ajst-10512	51	98	visual	visual	ADJ
ajst-10512	51	99	data	datum	NOUN
ajst-10512	51	100	,	,	PUNCT
ajst-10512	51	101	and	and	CCONJ
ajst-10512	51	102	promoting	promote	VERB
ajst-10512	51	103	the	the	DET
ajst-10512	51	104	development	development	NOUN
ajst-10512	51	105	of	of	ADP
ajst-10512	51	106	feature	feature	NOUN
ajst-10512	51	107	extraction	extraction	NOUN
ajst-10512	51	108	,	,	PUNCT
ajst-10512	51	109	cognitive	cognitive	ADJ
ajst-10512	51	110	representation	representation	NOUN
ajst-10512	51	111	,	,	PUNCT
ajst-10512	51	112	machine	machine	NOUN
ajst-10512	51	113	learning	learning	NOUN
ajst-10512	51	114	,	,	PUNCT
ajst-10512	51	115	and	and	CCONJ
ajst-10512	51	116	fusion	fusion	NOUN
ajst-10512	51	117	analysis	analysis	NOUN
ajst-10512	51	118	in	in	ADP
ajst-10512	51	119	the	the	DET
ajst-10512	51	120	process	process	NOUN
ajst-10512	51	121	of	of	ADP
ajst-10512	51	122	visual	visual	ADJ
ajst-10512	51	123	data	datum	NOUN
ajst-10512	51	124	computing	compute	VERB
ajst-10512	51	125	from	from	ADP
ajst-10512	51	126	relatively	relatively	ADV
ajst-10512	51	127	independent	independent	ADJ
ajst-10512	51	128	to	to	ADP
ajst-10512	51	129	collaborative	collaborative	ADJ
ajst-10512	51	130	and	and	CCONJ
ajst-10512	51	131	complementary	complementary	ADJ
ajst-10512	51	132	.	.	PUNCT
ajst-10512	52	1	(	(	PUNCT
ajst-10512	52	2	ii	ii	NOUN
ajst-10512	52	3	)	)	PUNCT
ajst-10512	52	4	combined	combine	VERB
ajst-10512	52	5	with	with	ADP
ajst-10512	52	6	network	network	NOUN
ajst-10512	52	7	data	datum	NOUN
ajst-10512	52	8	,	,	PUNCT
ajst-10512	52	9	we	we	PRON
ajst-10512	52	10	deeply	deeply	ADV
ajst-10512	52	11	explore	explore	VERB
ajst-10512	52	12	and	and	CCONJ
ajst-10512	52	13	utilize	utilize	VERB
ajst-10512	52	14	different	different	ADJ
ajst-10512	52	15	levels	level	NOUN
ajst-10512	52	16	and	and	CCONJ
ajst-10512	52	17	rich	rich	ADJ
ajst-10512	52	18	correlations	correlation	NOUN
ajst-10512	52	19	in	in	ADP
ajst-10512	52	20	high	high	ADV
ajst-10512	52	21	-	-	PUNCT
ajst-10512	52	22	dimensional	dimensional	ADJ
ajst-10512	52	23	and	and	CCONJ
ajst-10512	52	24	heterogeneous	heterogeneous	ADJ
ajst-10512	52	25	networked	networked	ADJ
ajst-10512	52	26	visual	visual	ADJ
ajst-10512	52	27	data	datum	NOUN
ajst-10512	52	28	,	,	PUNCT
ajst-10512	52	29	so	so	SCONJ
ajst-10512	52	30	as	as	SCONJ
ajst-10512	52	31	to	to	PART
ajst-10512	52	32	promote	promote	VERB
ajst-10512	52	33	the	the	DET
ajst-10512	52	34	development	development	NOUN
ajst-10512	52	35	of	of	ADP
ajst-10512	52	36	feature	feature	NOUN
ajst-10512	52	37	extraction	extraction	NOUN
ajst-10512	52	38	,	,	PUNCT
ajst-10512	52	39	cognitive	cognitive	ADJ
ajst-10512	52	40	representation	representation	NOUN
ajst-10512	52	41	,	,	PUNCT
ajst-10512	52	42	machine	machine	NOUN
ajst-10512	52	43	learning	learning	NOUN
ajst-10512	52	44	and	and	CCONJ
ajst-10512	52	45	fusion	fusion	VERB
ajst-10512	52	46	analysis	analysis	NOUN
ajst-10512	52	47	in	in	ADP
ajst-10512	52	48	the	the	DET
ajst-10512	52	49	process	process	NOUN
ajst-10512	52	50	of	of	ADP
ajst-10512	52	51	visual	visual	ADJ
ajst-10512	52	52	data	datum	NOUN
ajst-10512	52	53	computation	computation	NOUN
ajst-10512	52	54	from	from	ADP
ajst-10512	52	55	relative	relative	ADJ
ajst-10512	52	56	independence	independence	NOUN
ajst-10512	52	57	to	to	ADP
ajst-10512	52	58	the	the	DET
ajst-10512	52	59	direction	direction	NOUN
ajst-10512	52	60	of	of	ADP
ajst-10512	52	61	mutual	mutual	ADJ
ajst-10512	52	62	synergy	synergy	NOUN
ajst-10512	52	63	and	and	CCONJ
ajst-10512	52	64	mutual	mutual	ADJ
ajst-10512	52	65	complementation	complementation	NOUN
ajst-10512	52	66	.	.	PUNCT
ajst-10512	53	1	3.1	3.1	NUM
ajst-10512	53	2	.	.	PUNCT
ajst-10512	53	3	visual	visual	ADJ
ajst-10512	53	4	cognition	cognition	NOUN
ajst-10512	53	5	mechanisms	mechanism	NOUN
ajst-10512	53	6	and	and	CCONJ
ajst-10512	53	7	their	their	PRON
ajst-10512	53	8	processing	processing	NOUN
ajst-10512	53	9	models	model	NOUN
ajst-10512	53	10	the	the	DET
ajst-10512	53	11	research	research	NOUN
ajst-10512	53	12	on	on	ADP
ajst-10512	53	13	the	the	DET
ajst-10512	53	14	mechanism	mechanism	NOUN
ajst-10512	53	15	of	of	ADP
ajst-10512	53	16	holistic	holistic	ADJ
ajst-10512	53	17	grasping	grasp	VERB
ajst-10512	53	18	and	and	CCONJ
ajst-10512	53	19	hierarchical	hierarchical	ADJ
ajst-10512	53	20	organization	organization	NOUN
ajst-10512	53	21	in	in	ADP
ajst-10512	53	22	the	the	DET
ajst-10512	53	23	cognitive	cognitive	ADJ
ajst-10512	53	24	process	process	NOUN
ajst-10512	53	25	has	have	AUX
ajst-10512	53	26	made	make	VERB
ajst-10512	53	27	great	great	ADJ
ajst-10512	53	28	progress	progress	NOUN
ajst-10512	53	29	,	,	PUNCT
ajst-10512	53	30	and	and	CCONJ
ajst-10512	53	31	the	the	DET
ajst-10512	53	32	results	result	NOUN
ajst-10512	53	33	of	of	ADP
ajst-10512	53	34	these	these	DET
ajst-10512	53	35	researches	research	NOUN
ajst-10512	53	36	provide	provide	VERB
ajst-10512	53	37	an	an	DET
ajst-10512	53	38	important	important	ADJ
ajst-10512	53	39	biological	biological	ADJ
ajst-10512	53	40	foundation	foundation	NOUN
ajst-10512	53	41	and	and	CCONJ
ajst-10512	53	42	scientific	scientific	ADJ
ajst-10512	53	43	basis	basis	NOUN
ajst-10512	53	44	for	for	ADP
ajst-10512	53	45	visual	visual	ADJ
ajst-10512	53	46	computing	computing	NOUN
ajst-10512	53	47	technology	technology	NOUN
ajst-10512	53	48	based	base	VERB
ajst-10512	53	49	on	on	ADP
ajst-10512	53	50	the	the	DET
ajst-10512	53	51	mechanism	mechanism	NOUN
ajst-10512	53	52	of	of	ADP
ajst-10512	53	53	visual	visual	ADJ
ajst-10512	53	54	cognition	cognition	NOUN
ajst-10512	54	1	[	[	X
ajst-10512	54	2	6	6	NUM
ajst-10512	54	3	]	]	PUNCT
ajst-10512	54	4	,	,	PUNCT
ajst-10512	54	5	e.g.	e.g.	ADV
ajst-10512	54	6	,	,	PUNCT
ajst-10512	54	7	in	in	ADP
ajst-10512	54	8	the	the	DET
ajst-10512	54	9	process	process	NOUN
ajst-10512	54	10	of	of	ADP
ajst-10512	54	11	face	face	NOUN
ajst-10512	54	12	recognition	recognition	NOUN
ajst-10512	54	13	,	,	PUNCT
ajst-10512	54	14	the	the	DET
ajst-10512	54	15	object	object	NOUN
ajst-10512	54	16	is	be	AUX
ajst-10512	54	17	expressed	express	VERB
ajst-10512	54	18	as	as	ADP
ajst-10512	54	19	an	an	DET
ajst-10512	54	20	undecomposable	undecomposable	ADJ
ajst-10512	54	21	whole	whole	NOUN
ajst-10512	54	22	rather	rather	ADV
ajst-10512	54	23	than	than	ADP
ajst-10512	54	24	a	a	DET
ajst-10512	54	25	simple	simple	ADJ
ajst-10512	54	26	local	local	ADJ
ajst-10512	54	27	combination	combination	NOUN
ajst-10512	54	28	.	.	PUNCT
ajst-10512	55	1	therefore	therefore	ADV
ajst-10512	55	2	,	,	PUNCT
ajst-10512	55	3	visual	visual	ADJ
ajst-10512	55	4	data	datum	NOUN
ajst-10512	55	5	for	for	ADP
ajst-10512	55	6	semantic	semantic	ADJ
ajst-10512	55	7	analysis	analysis	NOUN
ajst-10512	55	8	and	and	CCONJ
ajst-10512	55	9	understanding	understanding	NOUN
ajst-10512	55	10	requires	require	VERB
ajst-10512	55	11	a	a	DET
ajst-10512	55	12	holistic	holistic	ADJ
ajst-10512	55	13	semantic	semantic	ADJ
ajst-10512	55	14	description	description	NOUN
ajst-10512	55	15	of	of	ADP
ajst-10512	55	16	its	its	PRON
ajst-10512	55	17	content	content	NOUN
ajst-10512	55	18	.	.	PUNCT
ajst-10512	56	1	although	although	SCONJ
ajst-10512	56	2	the	the	DET
ajst-10512	56	3	combination	combination	NOUN
ajst-10512	56	4	of	of	ADP
ajst-10512	56	5	local	local	ADJ
ajst-10512	56	6	features	feature	NOUN
ajst-10512	56	7	or	or	CCONJ
ajst-10512	56	8	global	global	ADJ
ajst-10512	56	9	-	-	PUNCT
ajst-10512	56	10	scale	scale	NOUN
ajst-10512	56	11	features	feature	NOUN
ajst-10512	56	12	can	can	AUX
ajst-10512	56	13	describe	describe	VERB
ajst-10512	56	14	and	and	CCONJ
ajst-10512	56	15	differentiate	differentiate	VERB
ajst-10512	56	16	visual	visual	ADJ
ajst-10512	56	17	objects	object	NOUN
ajst-10512	56	18	to	to	ADP
ajst-10512	56	19	a	a	DET
ajst-10512	56	20	certain	certain	ADJ
ajst-10512	56	21	extent	extent	NOUN
ajst-10512	56	22	,	,	PUNCT
ajst-10512	56	23	target	target	VERB
ajst-10512	56	24	occlusion	occlusion	NOUN
ajst-10512	56	25	,	,	PUNCT
ajst-10512	56	26	background	background	NOUN
ajst-10512	56	27	interference	interference	NOUN
ajst-10512	56	28	to	to	ADP
ajst-10512	56	29	and	and	CCONJ
ajst-10512	56	30	changes	change	NOUN
ajst-10512	56	31	in	in	ADP
ajst-10512	56	32	light	light	ADJ
ajst-10512	56	33	,	,	PUNCT
ajst-10512	56	34	angle	angle	NOUN
ajst-10512	56	35	,	,	PUNCT
ajst-10512	56	36	and	and	CCONJ
ajst-10512	56	37	affine	affine	NOUN
ajst-10512	56	38	transformation	transformation	NOUN
ajst-10512	56	39	are	be	AUX
ajst-10512	56	40	more	more	ADV
ajst-10512	56	41	sensitive	sensitive	ADJ
ajst-10512	56	42	,	,	PUNCT
ajst-10512	56	43	and	and	CCONJ
ajst-10512	56	44	their	their	PRON
ajst-10512	56	45	stability	stability	NOUN
ajst-10512	56	46	and	and	CCONJ
ajst-10512	56	47	distinguishability	distinguishability	NOUN
ajst-10512	56	48	are	be	AUX
ajst-10512	56	49	not	not	PART
ajst-10512	56	50	high	high	ADJ
ajst-10512	56	51	.	.	PUNCT
ajst-10512	57	1	accordingly	accordingly	ADV
ajst-10512	57	2	,	,	PUNCT
ajst-10512	57	3	deep	deep	ADJ
ajst-10512	57	4	learning	learning	NOUN
ajst-10512	57	5	methods	method	NOUN
ajst-10512	57	6	such	such	ADJ
ajst-10512	57	7	as	as	ADP
ajst-10512	57	8	boltzmann	boltzmann	PROPN
ajst-10512	57	9	machine	machine	NOUN
ajst-10512	57	10	,	,	PUNCT
ajst-10512	57	11	deep	deep	ADJ
ajst-10512	57	12	belief	belief	NOUN
ajst-10512	57	13	nets	net	NOUN
ajst-10512	57	14	(	(	PUNCT
ajst-10512	57	15	deep	deep	ADJ
ajst-10512	57	16	belief	belief	NOUN
ajst-10512	57	17	nets	net	NOUN
ajst-10512	57	18	)	)	PUNCT
ajst-10512	57	19	and	and	CCONJ
ajst-10512	57	20	convolutional	convolutional	ADJ
ajst-10512	57	21	neural	neural	ADJ
ajst-10512	57	22	networks	network	NOUN
ajst-10512	57	23	(	(	PUNCT
ajst-10512	57	24	cnns	cnns	PROPN
ajst-10512	57	25	)	)	PUNCT
ajst-10512	57	26	have	have	AUX
ajst-10512	57	27	successively	successively	ADV
ajst-10512	57	28	appeared	appear	VERB
ajst-10512	57	29	in	in	ADP
ajst-10512	57	30	the	the	DET
ajst-10512	57	31	simulation	simulation	NOUN
ajst-10512	57	32	of	of	ADP
ajst-10512	57	33	layer	layer	NOUN
ajst-10512	57	34	-	-	PUNCT
ajst-10512	57	35	by	by	ADP
ajst-10512	57	36	-	-	PUNCT
ajst-10512	57	37	layer	layer	NOUN
ajst-10512	57	38	gradual	gradual	ADJ
ajst-10512	57	39	learning	learning	NOUN
ajst-10512	57	40	process	process	NOUN
ajst-10512	57	41	of	of	ADP
ajst-10512	57	42	hierarchical	hierarchical	ADJ
ajst-10512	57	43	organization	organization	NOUN
ajst-10512	57	44	mechanism	mechanism	NOUN
ajst-10512	57	45	,	,	PUNCT
ajst-10512	57	46	and	and	CCONJ
ajst-10512	57	47	these	these	DET
ajst-10512	57	48	methods	method	NOUN
ajst-10512	57	49	have	have	AUX
ajst-10512	57	50	achieved	achieve	VERB
ajst-10512	57	51	better	well	ADJ
ajst-10512	57	52	recognition	recognition	NOUN
ajst-10512	57	53	results	result	NOUN
ajst-10512	57	54	than	than	ADP
ajst-10512	57	55	shallow	shallow	ADJ
ajst-10512	57	56	learning	learning	NOUN
ajst-10512	57	57	.	.	PUNCT
ajst-10512	58	1	the	the	DET
ajst-10512	58	2	theory	theory	NOUN
ajst-10512	58	3	of	of	ADP
ajst-10512	58	4	topological	topological	ADJ
ajst-10512	58	5	perception	perception	NOUN
ajst-10512	58	6	,	,	PUNCT
ajst-10512	58	7	which	which	PRON
ajst-10512	58	8	has	have	AUX
ajst-10512	58	9	been	be	AUX
ajst-10512	58	10	systematically	systematically	ADV
ajst-10512	58	11	developed	develop	VERB
ajst-10512	58	12	in	in	ADP
ajst-10512	58	13	recent	recent	ADJ
ajst-10512	58	14	years	year	NOUN
ajst-10512	58	15	by	by	ADP
ajst-10512	58	16	the	the	DET
ajst-10512	58	17	laboratory	laboratory	NOUN
ajst-10512	58	18	led	lead	VERB
ajst-10512	58	19	by	by	ADP
ajst-10512	58	20	academician	academician	PROPN
ajst-10512	58	21	chen	chen	PROPN
ajst-10512	58	22	lin	lin	PROPN
ajst-10512	58	23	of	of	ADP
ajst-10512	58	24	the	the	DET
ajst-10512	58	25	chinese	chinese	PROPN
ajst-10512	58	26	academy	academy	PROPN
ajst-10512	58	27	of	of	ADP
ajst-10512	58	28	sciences	sciences	PROPN
ajst-10512	58	29	,	,	PUNCT
ajst-10512	58	30	holds	hold	VERB
ajst-10512	58	31	that	that	SCONJ
ajst-10512	58	32	the	the	DET
ajst-10512	58	33	visual	visual	ADJ
ajst-10512	58	34	process	process	NOUN
ajst-10512	58	35	starts	start	VERB
ajst-10512	58	36	from	from	ADP
ajst-10512	58	37	a	a	DET
ajst-10512	58	38	large	large	ADJ
ajst-10512	58	39	range	range	NOUN
ajst-10512	58	40	of	of	ADP
ajst-10512	58	41	properties	property	NOUN
ajst-10512	58	42	,	,	PUNCT
ajst-10512	58	43	which	which	PRON
ajst-10512	58	44	can	can	AUX
ajst-10512	58	45	be	be	AUX
ajst-10512	58	46	described	describe	VERB
ajst-10512	58	47	by	by	ADP
ajst-10512	58	48	topological	topological	ADJ
ajst-10512	58	49	properties	property	NOUN
ajst-10512	58	50	,	,	PUNCT
ajst-10512	58	51	and	and	CCONJ
ajst-10512	58	52	that	that	SCONJ
ajst-10512	58	53	the	the	DET
ajst-10512	58	54	geometrically	geometrically	ADV
ajst-10512	58	55	invariant	invariant	ADJ
ajst-10512	58	56	properties	property	NOUN
ajst-10512	58	57	of	of	ADP
ajst-10512	58	58	each	each	DET
ajst-10512	58	59	level	level	NOUN
ajst-10512	58	60	,	,	PUNCT
ajst-10512	58	61	with	with	ADP
ajst-10512	58	62	topological	topological	ADJ
ajst-10512	58	63	properties	property	NOUN
ajst-10512	58	64	as	as	ADP
ajst-10512	58	65	the	the	DET
ajst-10512	58	66	most	most	ADV
ajst-10512	58	67	basic	basic	ADJ
ajst-10512	58	68	level	level	NOUN
ajst-10512	58	69	,	,	PUNCT
ajst-10512	58	70	are	be	AUX
ajst-10512	58	71	the	the	DET
ajst-10512	58	72	basic	basic	ADJ
ajst-10512	58	73	units	unit	NOUN
ajst-10512	58	74	of	of	ADP
ajst-10512	58	75	the	the	DET
ajst-10512	58	76	perceptual	perceptual	ADJ
ajst-10512	58	77	information	information	NOUN
ajst-10512	58	78	characterization	characterization	NOUN
ajst-10512	58	79	of	of	ADP
ajst-10512	58	80	the	the	DET
ajst-10512	58	81	figure	figure	NOUN
ajst-10512	58	82	.	.	PUNCT
ajst-10512	59	1	in	in	ADP
ajst-10512	59	2	addition	addition	NOUN
ajst-10512	59	3	,	,	PUNCT
ajst-10512	59	4	j.	j.	PROPN
ajst-10512	59	5	b.	b.	PROPN
ajst-10512	59	6	tenenbaum	tenenbaum	PROPN
ajst-10512	59	7	et	et	PROPN
ajst-10512	59	8	al	al	PROPN
ajst-10512	59	9	.	.	PROPN
ajst-10512	59	10	explored	explore	VERB
ajst-10512	59	11	the	the	DET
ajst-10512	59	12	relationship	relationship	NOUN
ajst-10512	59	13	between	between	ADP
ajst-10512	59	14	the	the	DET
ajst-10512	59	15	neural	neural	ADJ
ajst-10512	59	16	system	system	NOUN
ajst-10512	59	17	and	and	CCONJ
ajst-10512	59	18	low	low	ADJ
ajst-10512	59	19	-	-	PUNCT
ajst-10512	59	20	dimensional	dimensional	ADJ
ajst-10512	59	21	cognitive	cognitive	ADJ
ajst-10512	59	22	concepts	concept	NOUN
ajst-10512	59	23	embedded	embed	VERB
ajst-10512	59	24	in	in	ADP
ajst-10512	59	25	high	high	ADJ
ajst-10512	59	26	-	-	PUNCT
ajst-10512	59	27	dimensional	dimensional	ADJ
ajst-10512	59	28	datasets	dataset	NOUN
ajst-10512	59	29	from	from	ADP
ajst-10512	59	30	a	a	DET
ajst-10512	59	31	cognitive	cognitive	ADJ
ajst-10512	59	32	point	point	NOUN
ajst-10512	59	33	of	of	ADP
ajst-10512	59	34	view	view	NOUN
ajst-10512	59	35	,	,	PUNCT
ajst-10512	59	36	pointing	point	VERB
ajst-10512	59	37	out	out	ADP
ajst-10512	59	38	that	that	SCONJ
ajst-10512	59	39	high	high	ADJ
ajst-10512	59	40	-	-	PUNCT
ajst-10512	59	41	dimensional	dimensional	ADJ
ajst-10512	59	42	information	information	NOUN
ajst-10512	59	43	is	be	AUX
ajst-10512	59	44	generally	generally	ADV
ajst-10512	59	45	embedded	embed	VERB
ajst-10512	59	46	in	in	ADP
ajst-10512	59	47	a	a	DET
ajst-10512	59	48	low	low	ADJ
ajst-10512	59	49	-	-	PUNCT
ajst-10512	59	50	dimensional	dimensional	ADJ
ajst-10512	59	51	manifold	manifold	NOUN
ajst-10512	59	52	during	during	ADP
ajst-10512	59	53	human	human	ADJ
ajst-10512	59	54	cognitive	cognitive	ADJ
ajst-10512	59	55	processes	process	NOUN
ajst-10512	59	56	,	,	PUNCT
ajst-10512	59	57	and	and	CCONJ
ajst-10512	59	58	that	that	SCONJ
ajst-10512	59	59	cognitive	cognitive	ADJ
ajst-10512	59	60	processes	process	NOUN
ajst-10512	59	61	to	to	ADP
ajst-10512	59	62	a	a	DET
ajst-10512	59	63	large	large	ADJ
ajst-10512	59	64	extent	extent	NOUN
ajst-10512	59	65	recognize	recognize	VERB
ajst-10512	59	66	a	a	DET
ajst-10512	59	67	variety	variety	NOUN
ajst-10512	59	68	of	of	ADP
ajst-10512	59	69	things	thing	NOUN
ajst-10512	59	70	by	by	ADP
ajst-10512	59	71	means	mean	NOUN
ajst-10512	59	72	of	of	ADP
ajst-10512	59	73	this	this	DET
ajst-10512	59	74	lowdimensional	lowdimensional	ADJ
ajst-10512	59	75	manifold	manifold	NOUN
ajst-10512	59	76	.	.	PUNCT
ajst-10512	60	1	in	in	ADP
ajst-10512	60	2	addition	addition	NOUN
ajst-10512	60	3	,	,	PUNCT
ajst-10512	60	4	to	to	PART
ajst-10512	60	5	cope	cope	VERB
ajst-10512	60	6	with	with	ADP
ajst-10512	60	7	the	the	DET
ajst-10512	60	8	wide	wide	ADJ
ajst-10512	60	9	range	range	NOUN
ajst-10512	60	10	of	of	ADP
ajst-10512	60	11	visual	visual	ADJ
ajst-10512	60	12	objects	object	NOUN
ajst-10512	60	13	in	in	ADP
ajst-10512	60	14	the	the	DET
ajst-10512	60	15	networked	networked	ADJ
ajst-10512	60	16	environment	environment	NOUN
ajst-10512	60	17	sex	sex	NOUN
ajst-10512	60	18	,	,	PUNCT
ajst-10512	60	19	the	the	DET
ajst-10512	60	20	mechanism	mechanism	NOUN
ajst-10512	60	21	of	of	ADP
ajst-10512	60	22	selective	selective	ADJ
ajst-10512	60	23	attention	attention	NOUN
ajst-10512	60	24	in	in	ADP
ajst-10512	60	25	the	the	DET
ajst-10512	60	26	biological	biological	ADJ
ajst-10512	60	27	visual	visual	ADJ
ajst-10512	60	28	system	system	NOUN
ajst-10512	60	29	has	have	AUX
ajst-10512	60	30	been	be	AUX
ajst-10512	60	31	a	a	DET
ajst-10512	60	32	hot	hot	ADJ
ajst-10512	60	33	research	research	NOUN
ajst-10512	60	34	topic	topic	NOUN
ajst-10512	60	35	in	in	ADP
ajst-10512	60	36	visual	visual	ADJ
ajst-10512	60	37	cognitive	cognitive	ADJ
ajst-10512	60	38	modeling	modeling	NOUN
ajst-10512	60	39	,	,	PUNCT
ajst-10512	60	40	which	which	PRON
ajst-10512	60	41	is	be	AUX
ajst-10512	60	42	currently	currently	ADV
ajst-10512	60	43	focused	focus	VERB
ajst-10512	60	44	on	on	ADP
ajst-10512	60	45	bottom	bottom	ADJ
ajst-10512	60	46	-	-	PUNCT
ajst-10512	60	47	up	up	ADP
ajst-10512	60	48	computational	computational	ADJ
ajst-10512	60	49	models	model	NOUN
ajst-10512	60	50	of	of	ADP
ajst-10512	60	51	salience	salience	NOUN
ajst-10512	60	52	,	,	PUNCT
ajst-10512	60	53	and	and	CCONJ
ajst-10512	60	54	many	many	ADJ
ajst-10512	60	55	computational	computational	ADJ
ajst-10512	60	56	models	model	NOUN
ajst-10512	60	57	have	have	AUX
ajst-10512	60	58	been	be	AUX
ajst-10512	60	59	proposed	propose	VERB
ajst-10512	60	60	in	in	ADP
ajst-10512	60	61	recent	recent	ADJ
ajst-10512	60	62	years	year	NOUN
ajst-10512	61	1	[	[	X
ajst-10512	61	2	7	7	NUM
ajst-10512	61	3	]	]	PUNCT
ajst-10512	61	4	.	.	PUNCT
ajst-10512	62	1	american	american	ADJ
ajst-10512	62	2	scientists	scientist	NOUN
ajst-10512	62	3	analyzed	analyze	VERB
ajst-10512	62	4	the	the	DET
ajst-10512	62	5	rat	rat	NOUN
ajst-10512	62	6	cortex	cortex	NOUN
ajst-10512	62	7	and	and	CCONJ
ajst-10512	62	8	found	find	VERB
ajst-10512	62	9	that	that	SCONJ
ajst-10512	62	10	its	its	PRON
ajst-10512	62	11	brain	brain	NOUN
ajst-10512	62	12	perceives	perceive	VERB
ajst-10512	62	13	external	external	ADJ
ajst-10512	62	14	information	information	NOUN
ajst-10512	62	15	in	in	ADP
ajst-10512	62	16	an	an	DET
ajst-10512	62	17	internet	internet	NOUN
ajst-10512	62	18	-	-	PUNCT
ajst-10512	62	19	like	like	ADJ
ajst-10512	62	20	structure	structure	NOUN
ajst-10512	62	21	,	,	PUNCT
ajst-10512	62	22	rather	rather	ADV
ajst-10512	62	23	than	than	ADP
ajst-10512	62	24	the	the	DET
ajst-10512	62	25	top	top	ADJ
ajst-10512	62	26	-	-	PUNCT
ajst-10512	62	27	down	down	ADP
ajst-10512	62	28	theory	theory	NOUN
ajst-10512	62	29	that	that	PRON
ajst-10512	62	30	dominates	dominate	VERB
ajst-10512	62	31	experimental	experimental	ADJ
ajst-10512	62	32	neuroscience	neuroscience	NOUN
ajst-10512	62	33	[	[	X
ajst-10512	62	34	8	8	NUM
ajst-10512	62	35	]	]	PUNCT
ajst-10512	62	36	.	.	PUNCT
ajst-10512	63	1	corresponding	correspond	VERB
ajst-10512	63	2	studies	study	NOUN
ajst-10512	63	3	have	have	AUX
ajst-10512	63	4	also	also	ADV
ajst-10512	63	5	shown	show	VERB
ajst-10512	63	6	that	that	SCONJ
ajst-10512	63	7	the	the	DET
ajst-10512	63	8	human	human	ADJ
ajst-10512	63	9	brain	brain	NOUN
ajst-10512	63	10	is	be	AUX
ajst-10512	63	11	good	good	ADJ
ajst-10512	63	12	at	at	ADP
ajst-10512	63	13	using	use	VERB
ajst-10512	63	14	the	the	DET
ajst-10512	63	15	attention	attention	NOUN
ajst-10512	63	16	model	model	NOUN
ajst-10512	63	17	in	in	ADP
ajst-10512	63	18	the	the	DET
ajst-10512	63	19	process	process	NOUN
ajst-10512	63	20	of	of	ADP
ajst-10512	63	21	processing	process	VERB
ajst-10512	63	22	external	external	ADJ
ajst-10512	63	23	data	datum	NOUN
ajst-10512	63	24	,	,	PUNCT
ajst-10512	63	25	selecting	select	VERB
ajst-10512	63	26	differentiated	differentiated	ADJ
ajst-10512	63	27	attribute	attribute	NOUN
ajst-10512	63	28	information	information	NOUN
ajst-10512	63	29	from	from	ADP
ajst-10512	63	30	redundant	redundant	ADJ
ajst-10512	63	31	information	information	NOUN
ajst-10512	63	32	,	,	PUNCT
ajst-10512	63	33	i.e.	i.e.	X
ajst-10512	63	34	,	,	PUNCT
ajst-10512	63	35	taking	take	VERB
ajst-10512	63	36	into	into	ADP
ajst-10512	63	37	account	account	NOUN
ajst-10512	63	38	the	the	DET
ajst-10512	63	39	structural	structural	NOUN
ajst-10512	63	40	a	a	DET
ajst-10512	63	41	priori	priori	ADJ
ajst-10512	63	42	knowledge	knowledge	NOUN
ajst-10512	63	43	of	of	ADP
ajst-10512	63	44	the	the	DET
ajst-10512	63	45	classification	classification	NOUN
ajst-10512	63	46	model	model	NOUN
ajst-10512	63	47	itself	itself	PRON
ajst-10512	63	48	,	,	PUNCT
ajst-10512	63	49	and	and	CCONJ
ajst-10512	63	50	applying	apply	VERB
ajst-10512	63	51	different	different	ADJ
ajst-10512	63	52	constraints	constraint	NOUN
ajst-10512	63	53	on	on	ADP
ajst-10512	63	54	regularization	regularization	NOUN
ajst-10512	63	55	factors	factor	NOUN
ajst-10512	63	56	during	during	ADP
ajst-10512	63	57	the	the	DET
ajst-10512	63	58	learning	learning	NOUN
ajst-10512	63	59	process	process	NOUN
ajst-10512	63	60	to	to	PART
ajst-10512	63	61	obtain	obtain	VERB
ajst-10512	63	62	sparse	sparse	ADJ
ajst-10512	63	63	representations	representation	NOUN
ajst-10512	63	64	of	of	ADP
ajst-10512	63	65	the	the	DET
ajst-10512	63	66	data	datum	NOUN
ajst-10512	63	67	itself	itself	PRON
ajst-10512	63	68	and	and	CCONJ
ajst-10512	63	69	its	its	PRON
ajst-10512	63	70	embedded	embed	VERB
ajst-10512	63	71	manifold	manifold	ADJ
ajst-10512	63	72	topology	topology	NOUN
ajst-10512	63	73	.	.	PUNCT
ajst-10512	64	1	in	in	ADP
ajst-10512	64	2	summary	summary	NOUN
ajst-10512	64	3	,	,	PUNCT
ajst-10512	64	4	cognitive	cognitive	ADJ
ajst-10512	64	5	science	science	NOUN
ajst-10512	64	6	has	have	AUX
ajst-10512	64	7	made	make	VERB
ajst-10512	64	8	a	a	DET
ajst-10512	64	9	more	more	ADJ
ajst-10512	64	10	in	in	ADP
ajst-10512	64	11	-	-	PUNCT
ajst-10512	64	12	depth	depth	NOUN
ajst-10512	64	13	overview	overview	NOUN
ajst-10512	64	14	of	of	ADP
ajst-10512	64	15	the	the	DET
ajst-10512	64	16	global	global	ADJ
ajst-10512	64	17	characteristics	characteristic	NOUN
ajst-10512	64	18	of	of	ADP
ajst-10512	64	19	the	the	DET
ajst-10512	64	20	information	information	NOUN
ajst-10512	64	21	processing	processing	NOUN
ajst-10512	64	22	process	process	NOUN
ajst-10512	64	23	,	,	PUNCT
ajst-10512	64	24	but	but	CCONJ
ajst-10512	64	25	the	the	DET
ajst-10512	64	26	detailed	detailed	ADJ
ajst-10512	64	27	mechanisms	mechanism	NOUN
ajst-10512	64	28	of	of	ADP
ajst-10512	64	29	realization	realization	NOUN
ajst-10512	64	30	are	be	AUX
ajst-10512	64	31	not	not	PART
ajst-10512	64	32	yet	yet	ADV
ajst-10512	64	33	sufficiently	sufficiently	ADV
ajst-10512	64	34	researched	research	VERB
ajst-10512	64	35	;	;	PUNCT
ajst-10512	64	36	neuroscience	neuroscience	NOUN
ajst-10512	64	37	has	have	AUX
ajst-10512	64	38	carried	carry	VERB
ajst-10512	64	39	out	out	ADP
ajst-10512	64	40	in	in	ADP
ajst-10512	64	41	-	-	PUNCT
ajst-10512	64	42	depth	depth	NOUN
ajst-10512	64	43	research	research	NOUN
ajst-10512	64	44	on	on	ADP
ajst-10512	64	45	cognitive	cognitive	ADJ
ajst-10512	64	46	micromechanisms	micromechanism	NOUN
ajst-10512	64	47	centered	center	VERB
ajst-10512	64	48	on	on	ADP
ajst-10512	64	49	neurons	neuron	NOUN
ajst-10512	64	50	and	and	CCONJ
ajst-10512	64	51	neural	neural	ADJ
ajst-10512	64	52	circuits	circuit	NOUN
ajst-10512	64	53	,	,	PUNCT
ajst-10512	64	54	and	and	CCONJ
ajst-10512	64	55	it	it	PRON
ajst-10512	64	56	has	have	AUX
ajst-10512	64	57	been	be	AUX
ajst-10512	64	58	able	able	ADJ
ajst-10512	64	59	to	to	PART
ajst-10512	64	60	partially	partially	ADV
ajst-10512	64	61	explain	explain	VERB
ajst-10512	64	62	hierarchical	hierarchical	ADJ
ajst-10512	64	63	representations	representation	NOUN
ajst-10512	64	64	,	,	PUNCT
ajst-10512	64	65	but	but	CCONJ
ajst-10512	64	66	it	it	PRON
ajst-10512	64	67	is	be	AUX
ajst-10512	64	68	difficult	difficult	ADJ
ajst-10512	64	69	to	to	PART
ajst-10512	64	70	comprehensively	comprehensively	ADV
ajst-10512	64	71	and	and	CCONJ
ajst-10512	64	72	systematically	systematically	ADV
ajst-10512	64	73	expound	expound	VERB
ajst-10512	64	74	on	on	ADP
ajst-10512	64	75	the	the	DET
ajst-10512	64	76	holistic	holistic	ADJ
ajst-10512	64	77	issues	issue	NOUN
ajst-10512	64	78	;	;	PUNCT
ajst-10512	64	79	information	information	NOUN
ajst-10512	64	80	science	science	NOUN
ajst-10512	64	81	,	,	PUNCT
ajst-10512	64	82	although	although	SCONJ
ajst-10512	64	83	it	it	PRON
ajst-10512	64	84	can	can	AUX
ajst-10512	64	85	link	link	VERB
ajst-10512	64	86	hierarchical	hierarchical	ADJ
ajst-10512	64	87	and	and	CCONJ
ajst-10512	64	88	holistic	holistic	ADJ
ajst-10512	64	89	with	with	ADP
ajst-10512	64	90	specific	specific	ADJ
ajst-10512	64	91	applications	application	NOUN
ajst-10512	64	92	,	,	PUNCT
ajst-10512	64	93	is	be	AUX
ajst-10512	64	94	often	often	ADV
ajst-10512	64	95	limited	limit	VERB
ajst-10512	64	96	by	by	ADP
ajst-10512	64	97	specific	specific	ADJ
ajst-10512	64	98	application	application	NOUN
ajst-10512	64	99	goals	goal	NOUN
ajst-10512	64	100	,	,	PUNCT
ajst-10512	64	101	but	but	CCONJ
ajst-10512	64	102	the	the	DET
ajst-10512	64	103	integration	integration	NOUN
ajst-10512	64	104	of	of	ADP
ajst-10512	64	105	the	the	DET
ajst-10512	64	106	results	result	NOUN
ajst-10512	64	107	of	of	ADP
ajst-10512	64	108	different	different	ADJ
ajst-10512	64	109	levels	level	NOUN
ajst-10512	64	110	of	of	ADP
ajst-10512	64	111	content	content	NOUN
ajst-10512	64	112	comprehension	comprehension	NOUN
ajst-10512	64	113	is	be	AUX
ajst-10512	64	114	insufficient	insufficient	ADJ
ajst-10512	64	115	.	.	PUNCT
ajst-10512	65	1	correlate	correlate	VERB
ajst-10512	65	2	hierarchy	hierarchy	NOUN
ajst-10512	65	3	and	and	CCONJ
ajst-10512	65	4	wholeness	wholeness	NOUN
ajst-10512	65	5	with	with	ADP
ajst-10512	65	6	specific	specific	ADJ
ajst-10512	65	7	applications	application	NOUN
ajst-10512	65	8	,	,	PUNCT
ajst-10512	65	9	but	but	CCONJ
ajst-10512	65	10	are	be	AUX
ajst-10512	65	11	often	often	ADV
ajst-10512	65	12	limited	limit	VERB
ajst-10512	65	13	by	by	ADP
ajst-10512	65	14	specific	specific	ADJ
ajst-10512	65	15	application	application	NOUN
ajst-10512	65	16	goals	goal	NOUN
ajst-10512	65	17	,	,	PUNCT
ajst-10512	65	18	incomplete	incomplete	ADJ
ajst-10512	65	19	research	research	NOUN
ajst-10512	65	20	on	on	ADP
ajst-10512	65	21	visual	visual	ADJ
ajst-10512	65	22	description	description	NOUN
ajst-10512	65	23	and	and	CCONJ
ajst-10512	65	24	understanding	understanding	NOUN
ajst-10512	65	25	of	of	ADP
ajst-10512	65	26	different	different	ADJ
ajst-10512	65	27	levels	level	NOUN
ajst-10512	65	28	,	,	PUNCT
ajst-10512	65	29	and	and	CCONJ
ajst-10512	65	30	insufficient	insufficient	ADJ
ajst-10512	65	31	integration	integration	NOUN
ajst-10512	65	32	of	of	ADP
ajst-10512	65	33	the	the	DET
ajst-10512	65	34	results	result	NOUN
ajst-10512	65	35	of	of	ADP
ajst-10512	65	36	understanding	understand	VERB
ajst-10512	65	37	different	different	ADJ
ajst-10512	65	38	levels	level	NOUN
ajst-10512	65	39	of	of	ADP
ajst-10512	65	40	content	content	NOUN
ajst-10512	65	41	.	.	PUNCT
ajst-10512	66	1	3.2	3.2	NUM
ajst-10512	66	2	.	.	PUNCT
ajst-10512	67	1	semantic	semantic	ADJ
ajst-10512	67	2	understanding	understanding	NOUN
ajst-10512	67	3	of	of	ADP
ajst-10512	67	4	visual	visual	ADJ
ajst-10512	67	5	data	datum	NOUN
ajst-10512	67	6	combined	combine	VERB
ajst-10512	67	7	with	with	ADP
ajst-10512	67	8	web	web	NOUN
ajst-10512	67	9	information	information	NOUN
ajst-10512	67	10	and	and	CCONJ
ajst-10512	67	11	machine	machine	NOUN
ajst-10512	67	12	learning	learn	VERB
ajst-10512	67	13	visual	visual	ADJ
ajst-10512	67	14	data	datum	NOUN
ajst-10512	67	15	is	be	AUX
ajst-10512	67	16	increasingly	increasingly	ADV
ajst-10512	67	17	socialized	socialize	VERB
ajst-10512	67	18	and	and	CCONJ
ajst-10512	67	19	networked	network	VERB
ajst-10512	67	20	,	,	PUNCT
ajst-10512	67	21	and	and	CCONJ
ajst-10512	67	22	a	a	DET
ajst-10512	67	23	large	large	ADJ
ajst-10512	67	24	number	number	NOUN
ajst-10512	67	25	of	of	ADP
ajst-10512	67	26	digital	digital	ADJ
ajst-10512	67	27	media	medium	NOUN
ajst-10512	67	28	websites	website	NOUN
ajst-10512	67	29	,	,	PUNCT
ajst-10512	67	30	represented	represent	VERB
ajst-10512	67	31	by	by	ADP
ajst-10512	67	32	flickr	flickr	PROPN
ajst-10512	67	33	and	and	CCONJ
ajst-10512	67	34	labelme	labelme	PROPN
ajst-10512	67	35	,	,	PUNCT
ajst-10512	67	36	now	now	ADV
ajst-10512	67	37	allow	allow	VERB
ajst-10512	67	38	online	online	ADJ
ajst-10512	67	39	users	user	NOUN
ajst-10512	67	40	to	to	PART
ajst-10512	67	41	label	label	VERB
ajst-10512	67	42	images	image	NOUN
ajst-10512	67	43	to	to	PART
ajst-10512	67	44	improve	improve	VERB
ajst-10512	67	45	the	the	DET
ajst-10512	67	46	understanding	understanding	NOUN
ajst-10512	67	47	of	of	ADP
ajst-10512	67	48	visual	visual	ADJ
ajst-10512	67	49	data	datum	NOUN
ajst-10512	67	50	.	.	PUNCT
ajst-10512	68	1	these	these	DET
ajst-10512	68	2	labeling	labeling	NOUN
ajst-10512	68	3	information	information	NOUN
ajst-10512	68	4	is	be	AUX
ajst-10512	68	5	a	a	DET
ajst-10512	68	6	powerful	powerful	ADJ
ajst-10512	68	7	complement	complement	NOUN
ajst-10512	68	8	to	to	ADP
ajst-10512	68	9	the	the	DET
ajst-10512	68	10	visual	visual	ADJ
ajst-10512	68	11	feature	feature	NOUN
ajst-10512	68	12	information	information	NOUN
ajst-10512	68	13	,	,	PUNCT
ajst-10512	68	14	and	and	CCONJ
ajst-10512	68	15	also	also	ADV
ajst-10512	68	16	causes	cause	VERB
ajst-10512	68	17	a	a	DET
ajst-10512	68	18	research	research	NOUN
ajst-10512	68	19	boom	boom	NOUN
ajst-10512	68	20	in	in	ADP
ajst-10512	68	21	semantic	semantic	ADJ
ajst-10512	68	22	understanding	understanding	NOUN
ajst-10512	68	23	of	of	ADP
ajst-10512	68	24	visual	visual	ADJ
ajst-10512	68	25	data	datum	NOUN
ajst-10512	68	26	combined	combine	VERB
ajst-10512	68	27	with	with	ADP
ajst-10512	68	28	web	web	NOUN
ajst-10512	68	29	information	information	NOUN
ajst-10512	68	30	[	[	X
ajst-10512	68	31	9	9	NUM
ajst-10512	68	32	]	]	PUNCT
ajst-10512	68	33	.	.	PUNCT
ajst-10512	69	1	in	in	ADP
ajst-10512	69	2	the	the	DET
ajst-10512	69	3	face	face	NOUN
ajst-10512	69	4	of	of	ADP
ajst-10512	69	5	the	the	DET
ajst-10512	69	6	heterogeneous	heterogeneous	ADJ
ajst-10512	69	7	format	format	NOUN
ajst-10512	69	8	,	,	PUNCT
ajst-10512	69	9	unstructured	unstructured	ADJ
ajst-10512	69	10	content	content	NOUN
ajst-10512	69	11	,	,	PUNCT
ajst-10512	69	12	and	and	CCONJ
ajst-10512	69	13	huge	huge	ADJ
ajst-10512	69	14	data	datum	NOUN
ajst-10512	69	15	volume	volume	NOUN
ajst-10512	69	16	of	of	ADP
ajst-10512	69	17	online	online	ADJ
ajst-10512	69	18	media	medium	NOUN
ajst-10512	69	19	data	datum	NOUN
ajst-10512	69	20	,	,	PUNCT
ajst-10512	69	21	the	the	DET
ajst-10512	69	22	existing	exist	VERB
ajst-10512	69	23	visual	visual	ADJ
ajst-10512	69	24	computing	computing	NOUN
ajst-10512	69	25	for	for	ADP
ajst-10512	69	26	feature	feature	NOUN
ajst-10512	69	27	processing	processing	NOUN
ajst-10512	69	28	is	be	AUX
ajst-10512	69	29	extremely	extremely	ADV
ajst-10512	69	30	lacking	lacking	ADJ
ajst-10512	69	31	in	in	ADP
ajst-10512	69	32	multilevel	multilevel	ADJ
ajst-10512	69	33	feature	feature	NOUN
ajst-10512	69	34	association	association	NOUN
ajst-10512	69	35	and	and	CCONJ
ajst-10512	69	36	cooperative	cooperative	ADJ
ajst-10512	69	37	and	and	CCONJ
ajst-10512	69	38	efficient	efficient	ADJ
ajst-10512	69	39	computational	computational	ADJ
ajst-10512	69	40	techniques	technique	NOUN
ajst-10512	69	41	and	and	CCONJ
ajst-10512	69	42	methods	method	NOUN
ajst-10512	69	43	.	.	PUNCT
ajst-10512	70	1	therefore	therefore	ADV
ajst-10512	70	2	,	,	PUNCT
ajst-10512	70	3	the	the	DET
ajst-10512	70	4	research	research	NOUN
ajst-10512	70	5	on	on	ADP
ajst-10512	70	6	visual	visual	ADJ
ajst-10512	70	7	data	datum	NOUN
ajst-10512	70	8	understanding	understanding	NOUN
ajst-10512	70	9	in	in	ADP
ajst-10512	70	10	the	the	DET
ajst-10512	70	11	network	network	NOUN
ajst-10512	70	12	environment	environment	NOUN
ajst-10512	70	13	shows	show	VERB
ajst-10512	70	14	the	the	DET
ajst-10512	70	15	following	follow	VERB
ajst-10512	70	16	development	development	NOUN
ajst-10512	70	17	trends	trend	NOUN
ajst-10512	70	18	:	:	PUNCT
ajst-10512	70	19	to	to	PART
ajst-10512	70	20	construct	construct	VERB
ajst-10512	70	21	higher	high	ADJ
ajst-10512	70	22	-	-	PUNCT
ajst-10512	70	23	level	level	NOUN
ajst-10512	70	24	feature	feature	NOUN
ajst-10512	70	25	operators	operator	NOUN
ajst-10512	70	26	to	to	PART
ajst-10512	70	27	extract	extract	VERB
ajst-10512	70	28	middle	middle	ADJ
ajst-10512	70	29	and	and	CCONJ
ajst-10512	70	30	high	high	ADJ
ajst-10512	70	31	-	-	PUNCT
ajst-10512	70	32	level	level	NOUN
ajst-10512	70	33	features	feature	NOUN
ajst-10512	70	34	,	,	PUNCT
ajst-10512	70	35	to	to	PART
ajst-10512	70	36	establish	establish	VERB
ajst-10512	70	37	multi	multi	ADJ
ajst-10512	70	38	-	-	ADJ
ajst-10512	70	39	level	level	ADJ
ajst-10512	70	40	features	feature	NOUN
ajst-10512	70	41	and	and	CCONJ
ajst-10512	70	42	highlevel	highlevel	ADJ
ajst-10512	70	43	semantic	semantic	ADJ
ajst-10512	70	44	mapping	mapping	NOUN
ajst-10512	70	45	and	and	CCONJ
ajst-10512	70	46	correlation	correlation	NOUN
ajst-10512	70	47	of	of	ADP
ajst-10512	70	48	heterogeneous	heterogeneous	ADJ
ajst-10512	70	49	visual	visual	ADJ
ajst-10512	70	50	data	datum	NOUN
ajst-10512	70	51	,	,	PUNCT
ajst-10512	70	52	to	to	PART
ajst-10512	70	53	form	form	VERB
ajst-10512	70	54	an	an	DET
ajst-10512	70	55	efficient	efficient	ADJ
ajst-10512	70	56	computation	computation	NOUN
ajst-10512	70	57	method	method	NOUN
ajst-10512	70	58	for	for	ADP
ajst-10512	70	59	highdimensional	highdimensional	ADJ
ajst-10512	70	60	heterogeneous	heterogeneous	ADJ
ajst-10512	70	61	multimodal	multimodal	NOUN
ajst-10512	70	62	data	datum	NOUN
ajst-10512	70	63	,	,	PUNCT
ajst-10512	70	64	and	and	CCONJ
ajst-10512	70	65	to	to	PART
ajst-10512	70	66	reduce	reduce	VERB
ajst-10512	70	67	the	the	DET
ajst-10512	70	68	semantic	semantic	ADJ
ajst-10512	70	69	gap	gap	NOUN
ajst-10512	70	70	in	in	ADP
ajst-10512	70	71	visual	visual	ADJ
ajst-10512	70	72	data	datum	NOUN
ajst-10512	70	73	understanding	understanding	NOUN
ajst-10512	70	74	;	;	PUNCT
ajst-10512	70	75	to	to	PART
ajst-10512	70	76	realize	realize	VERB
ajst-10512	70	77	the	the	DET
ajst-10512	70	78	extraction	extraction	NOUN
ajst-10512	70	79	of	of	ADP
ajst-10512	70	80	multi	multi	ADJ
ajst-10512	70	81	-	-	ADJ
ajst-10512	70	82	level	level	ADJ
ajst-10512	70	83	feature	feature	NOUN
ajst-10512	70	84	information	information	NOUN
ajst-10512	70	85	of	of	ADP
ajst-10512	70	86	content	content	NOUN
ajst-10512	70	87	,	,	PUNCT
ajst-10512	70	88	to	to	PART
ajst-10512	70	89	establish	establish	VERB
ajst-10512	70	90	content	content	NOUN
ajst-10512	70	91	structure	structure	NOUN
ajst-10512	70	92	and	and	CCONJ
ajst-10512	70	93	to	to	PART
ajst-10512	70	94	establish	establish	VERB
ajst-10512	70	95	content	content	NOUN
ajst-10512	70	96	structure	structure	NOUN
ajst-10512	70	97	based	base	VERB
ajst-10512	70	98	on	on	ADP
ajst-10512	70	99	content	content	NOUN
ajst-10512	70	100	's	's	PART
ajst-10512	70	101	spatial	spatial	ADJ
ajst-10512	70	102	and	and	CCONJ
ajst-10512	70	103	temporal	temporal	ADJ
ajst-10512	70	104	correlation	correlation	NOUN
ajst-10512	70	105	,	,	PUNCT
ajst-10512	70	106	and	and	CCONJ
ajst-10512	70	107	to	to	PART
ajst-10512	70	108	realize	realize	VERB
ajst-10512	70	109	the	the	DET
ajst-10512	70	110	extraction	extraction	NOUN
ajst-10512	70	111	of	of	ADP
ajst-10512	70	112	content	content	NOUN
ajst-10512	70	113	information	information	NOUN
ajst-10512	70	114	based	base	VERB
ajst-10512	70	115	on	on	ADP
ajst-10512	70	116	content	content	NOUN
ajst-10512	70	117	's	's	PART
ajst-10512	70	118	temporal	temporal	ADJ
ajst-10512	70	119	and	and	CCONJ
ajst-10512	70	120	spatial	spatial	ADJ
ajst-10512	70	121	correlation	correlation	NOUN
ajst-10512	70	122	.	.	PUNCT
ajst-10512	71	1	we	we	PRON
ajst-10512	71	2	can	can	AUX
ajst-10512	71	3	extract	extract	VERB
ajst-10512	71	4	multi	multi	ADJ
ajst-10512	71	5	-	-	ADJ
ajst-10512	71	6	level	level	ADJ
ajst-10512	71	7	feature	feature	NOUN
ajst-10512	71	8	information	information	NOUN
ajst-10512	71	9	of	of	ADP
ajst-10512	71	10	content	content	NOUN
ajst-10512	71	11	,	,	PUNCT
ajst-10512	71	12	establish	establish	VERB
ajst-10512	71	13	content	content	NOUN
ajst-10512	71	14	structure	structure	NOUN
ajst-10512	71	15	based	base	VERB
ajst-10512	71	16	on	on	ADP
ajst-10512	71	17	spatio	spatio	PROPN
ajst-10512	71	18	-	-	PUNCT
ajst-10512	71	19	temporal	temporal	ADJ
ajst-10512	71	20	correlation	correlation	NOUN
ajst-10512	71	21	,	,	PUNCT
ajst-10512	71	22	and	and	CCONJ
ajst-10512	71	23	correlate	correlate	VERB
ajst-10512	71	24	bottom	bottom	ADJ
ajst-10512	71	25	-	-	PUNCT
ajst-10512	71	26	level	level	NOUN
ajst-10512	71	27	features	feature	NOUN
ajst-10512	71	28	,	,	PUNCT
ajst-10512	71	29	middle	middle	ADJ
ajst-10512	71	30	-	-	PUNCT
ajst-10512	71	31	level	level	NOUN
ajst-10512	71	32	features	feature	NOUN
ajst-10512	71	33	and	and	CCONJ
ajst-10512	71	34	high	high	ADJ
ajst-10512	71	35	-	-	PUNCT
ajst-10512	71	36	level	level	NOUN
ajst-10512	71	37	semantics	semantic	NOUN
ajst-10512	71	38	,	,	PUNCT
ajst-10512	71	39	so	so	SCONJ
ajst-10512	71	40	as	as	SCONJ
ajst-10512	71	41	to	to	PART
ajst-10512	71	42	achieve	achieve	VERB
ajst-10512	71	43	the	the	DET
ajst-10512	71	44	purpose	purpose	NOUN
ajst-10512	71	45	of	of	ADP
ajst-10512	71	46	understanding	understand	VERB
ajst-10512	71	47	user	user	NOUN
ajst-10512	71	48	's	's	PART
ajst-10512	71	49	intention	intention	NOUN
ajst-10512	71	50	and	and	CCONJ
ajst-10512	71	51	realizing	realize	VERB
ajst-10512	71	52	more	more	ADV
ajst-10512	71	53	accurate	accurate	ADJ
ajst-10512	71	54	and	and	CCONJ
ajst-10512	71	55	fast	fast	ADJ
ajst-10512	71	56	content	content	NOUN
ajst-10512	71	57	analysis	analysis	NOUN
ajst-10512	71	58	,	,	PUNCT
ajst-10512	71	59	retrieval	retrieval	NOUN
ajst-10512	71	60	and	and	CCONJ
ajst-10512	71	61	browsing	browse	VERB
ajst-10512	71	62	.	.	PUNCT
ajst-10512	72	1	117	117	NUM
ajst-10512	72	2	in	in	ADP
ajst-10512	72	3	addition	addition	NOUN
ajst-10512	72	4	,	,	PUNCT
ajst-10512	72	5	the	the	DET
ajst-10512	72	6	increasing	increase	VERB
ajst-10512	72	7	number	number	NOUN
ajst-10512	72	8	of	of	ADP
ajst-10512	72	9	online	online	ADJ
ajst-10512	72	10	media	medium	NOUN
ajst-10512	72	11	resources	resource	NOUN
ajst-10512	72	12	and	and	CCONJ
ajst-10512	72	13	the	the	DET
ajst-10512	72	14	demand	demand	NOUN
ajst-10512	72	15	for	for	ADP
ajst-10512	72	16	online	online	ADJ
ajst-10512	72	17	social	social	ADJ
ajst-10512	72	18	computing	computing	NOUN
ajst-10512	72	19	[	[	X
ajst-10512	72	20	10	10	NUM
ajst-10512	72	21	]	]	PUNCT
ajst-10512	72	22	make	make	VERB
ajst-10512	72	23	it	it	PRON
ajst-10512	72	24	a	a	DET
ajst-10512	72	25	great	great	ADJ
ajst-10512	72	26	challenge	challenge	NOUN
ajst-10512	72	27	to	to	PART
ajst-10512	72	28	directly	directly	ADV
ajst-10512	72	29	apply	apply	VERB
ajst-10512	72	30	traditional	traditional	ADJ
ajst-10512	72	31	machine	machine	NOUN
ajst-10512	72	32	learning	learn	VERB
ajst-10512	72	33	theories	theory	NOUN
ajst-10512	72	34	and	and	CCONJ
ajst-10512	72	35	methods	method	NOUN
ajst-10512	72	36	for	for	ADP
ajst-10512	72	37	semantic	semantic	ADJ
ajst-10512	72	38	understanding	understanding	NOUN
ajst-10512	72	39	.	.	PUNCT
ajst-10512	73	1	prof	prof	PROPN
ajst-10512	73	2	.	.	PUNCT
ajst-10512	74	1	tom	tom	PROPN
ajst-10512	74	2	mitchell	mitchell	PROPN
ajst-10512	74	3	of	of	ADP
ajst-10512	74	4	carnegie	carnegie	PROPN
ajst-10512	74	5	mellon	mellon	PROPN
ajst-10512	74	6	university	university	PROPN
ajst-10512	74	7	pointed	point	VERB
ajst-10512	74	8	out	out	ADP
ajst-10512	74	9	in	in	ADP
ajst-10512	74	10	an	an	DET
ajst-10512	74	11	article	article	NOUN
ajst-10512	74	12	in	in	ADP
ajst-10512	74	13	science	science	NOUN
ajst-10512	74	14	that	that	SCONJ
ajst-10512	74	15	,	,	PUNCT
ajst-10512	74	16	unlike	unlike	ADP
ajst-10512	74	17	traditional	traditional	ADJ
ajst-10512	74	18	research	research	NOUN
ajst-10512	74	19	on	on	ADP
ajst-10512	74	20	mining	mining	NOUN
ajst-10512	74	21	historical	historical	ADJ
ajst-10512	74	22	data	datum	NOUN
ajst-10512	74	23	,	,	PUNCT
ajst-10512	74	24	research	research	NOUN
ajst-10512	74	25	on	on	ADP
ajst-10512	74	26	a	a	DET
ajst-10512	74	27	variety	variety	NOUN
ajst-10512	74	28	of	of	ADP
ajst-10512	74	29	media	medium	NOUN
ajst-10512	74	30	data	datum	NOUN
ajst-10512	74	31	closely	closely	ADV
ajst-10512	74	32	related	relate	VERB
ajst-10512	74	33	to	to	ADP
ajst-10512	74	34	people	people	NOUN
ajst-10512	74	35	's	's	PART
ajst-10512	74	36	daily	daily	ADJ
ajst-10512	74	37	lives	life	NOUN
ajst-10512	74	38	is	be	AUX
ajst-10512	74	39	not	not	PART
ajst-10512	74	40	the	the	DET
ajst-10512	74	41	same	same	ADJ
ajst-10512	74	42	as	as	ADP
ajst-10512	74	43	traditional	traditional	ADJ
ajst-10512	74	44	research	research	NOUN
ajst-10512	74	45	on	on	ADP
ajst-10512	74	46	mining	mining	NOUN
ajst-10512	74	47	historical	historical	ADJ
ajst-10512	74	48	data	datum	NOUN
ajst-10512	74	49	.	.	PUNCT
ajst-10512	75	1	analyzing	analyze	VERB
ajst-10512	75	2	and	and	CCONJ
ajst-10512	75	3	processing	processing	NOUN
ajst-10512	75	4	data	datum	NOUN
ajst-10512	75	5	is	be	AUX
ajst-10512	75	6	an	an	DET
ajst-10512	75	7	important	important	ADJ
ajst-10512	75	8	trend	trend	NOUN
ajst-10512	75	9	in	in	ADP
ajst-10512	75	10	the	the	DET
ajst-10512	75	11	future	future	ADJ
ajst-10512	75	12	development	development	NOUN
ajst-10512	75	13	of	of	ADP
ajst-10512	75	14	machine	machine	NOUN
ajst-10512	75	15	learning	learning	NOUN
ajst-10512	75	16	and	and	CCONJ
ajst-10512	75	17	search	search	NOUN
ajst-10512	75	18	engines	engine	NOUN
ajst-10512	75	19	.	.	PUNCT
ajst-10512	76	1	massive	massive	ADJ
ajst-10512	76	2	data	datum	NOUN
ajst-10512	76	3	means	mean	VERB
ajst-10512	76	4	more	more	ADV
ajst-10512	76	5	difficult	difficult	ADJ
ajst-10512	76	6	challenges	challenge	NOUN
ajst-10512	76	7	for	for	ADP
ajst-10512	76	8	scientific	scientific	ADJ
ajst-10512	76	9	research	research	NOUN
ajst-10512	76	10	,	,	PUNCT
ajst-10512	76	11	such	such	ADJ
ajst-10512	76	12	as	as	ADP
ajst-10512	76	13	science	science	NOUN
ajst-10512	76	14	in	in	ADP
ajst-10512	76	15	february	february	PROPN
ajst-10512	76	16	2011	2011	NUM
ajst-10512	76	17	published	publish	VERB
ajst-10512	76	18	a	a	DET
ajst-10512	76	19	special	special	ADJ
ajst-10512	76	20	issue	issue	NOUN
ajst-10512	76	21	of	of	ADP
ajst-10512	76	22	dealing	deal	VERB
ajst-10512	76	23	with	with	ADP
ajst-10512	76	24	data	datum	NOUN
ajst-10512	76	25	that	that	SCONJ
ajst-10512	76	26	:	:	PUNCT
ajst-10512	76	27	the	the	DET
ajst-10512	76	28	collection	collection	NOUN
ajst-10512	76	29	,	,	PUNCT
ajst-10512	76	30	maintenance	maintenance	NOUN
ajst-10512	76	31	and	and	CCONJ
ajst-10512	76	32	use	use	NOUN
ajst-10512	76	33	of	of	ADP
ajst-10512	76	34	massive	massive	ADJ
ajst-10512	76	35	data	datum	NOUN
ajst-10512	76	36	has	have	AUX
ajst-10512	76	37	become	become	VERB
ajst-10512	76	38	a	a	DET
ajst-10512	76	39	major	major	ADJ
ajst-10512	76	40	aspect	aspect	NOUN
ajst-10512	76	41	of	of	ADP
ajst-10512	76	42	scientific	scientific	ADJ
ajst-10512	76	43	research	research	NOUN
ajst-10512	76	44	,	,	PUNCT
ajst-10512	76	45	and	and	CCONJ
ajst-10512	76	46	better	well	ADJ
ajst-10512	76	47	organization	organization	NOUN
ajst-10512	76	48	and	and	CCONJ
ajst-10512	76	49	use	use	NOUN
ajst-10512	76	50	of	of	ADP
ajst-10512	76	51	these	these	DET
ajst-10512	76	52	data	datum	NOUN
ajst-10512	76	53	will	will	AUX
ajst-10512	76	54	help	help	VERB
ajst-10512	76	55	us	we	PRON
ajst-10512	76	56	to	to	PART
ajst-10512	76	57	turn	turn	VERB
ajst-10512	76	58	the	the	DET
ajst-10512	76	59	great	great	ADJ
ajst-10512	76	60	opportunities	opportunity	NOUN
ajst-10512	76	61	into	into	ADP
ajst-10512	76	62	reality	reality	NOUN
ajst-10512	76	63	.	.	PUNCT
ajst-10512	77	1	accordingly	accordingly	ADV
ajst-10512	77	2	,	,	PUNCT
ajst-10512	77	3	the	the	DET
ajst-10512	77	4	computability	computability	NOUN
ajst-10512	77	5	of	of	ADP
ajst-10512	77	6	massive	massive	ADJ
ajst-10512	77	7	data	datum	NOUN
ajst-10512	77	8	has	have	AUX
ajst-10512	77	9	become	become	VERB
ajst-10512	77	10	an	an	DET
ajst-10512	77	11	issue	issue	NOUN
ajst-10512	77	12	that	that	PRON
ajst-10512	77	13	deserves	deserve	VERB
ajst-10512	77	14	attention	attention	NOUN
ajst-10512	77	15	.	.	PUNCT
ajst-10512	78	1	in	in	ADP
ajst-10512	78	2	the	the	DET
ajst-10512	78	3	icml08	icml08	NOUN
ajst-10512	78	4	workshop	workshop	NOUN
ajst-10512	78	5	,	,	PUNCT
ajst-10512	78	6	experts	expert	NOUN
ajst-10512	78	7	concluded	conclude	VERB
ajst-10512	78	8	that	that	SCONJ
ajst-10512	78	9	:	:	PUNCT
ajst-10512	78	10	large	large	ADJ
ajst-10512	78	11	-	-	PUNCT
ajst-10512	78	12	scale	scale	NOUN
ajst-10512	78	13	data	datum	NOUN
ajst-10512	78	14	=	=	SYM
ajst-10512	78	15	complex	complex	ADJ
ajst-10512	78	16	learning	learning	NOUN
ajst-10512	78	17	models	model	NOUN
ajst-10512	78	18	.	.	PUNCT
ajst-10512	79	1	recently	recently	ADV
ajst-10512	79	2	,	,	PUNCT
ajst-10512	79	3	algorithmic	algorithmic	ADJ
ajst-10512	79	4	complexity	complexity	NOUN
ajst-10512	79	5	smoothing	smooth	VERB
ajst-10512	79	6	analysis	analysis	NOUN
ajst-10512	79	7	establishes	establish	VERB
ajst-10512	79	8	a	a	DET
ajst-10512	79	9	framework	framework	NOUN
ajst-10512	79	10	for	for	ADP
ajst-10512	79	11	algorithms	algorithm	NOUN
ajst-10512	79	12	to	to	PART
ajst-10512	79	13	run	run	VERB
ajst-10512	79	14	complexity	complexity	NOUN
ajst-10512	79	15	computation	computation	NOUN
ajst-10512	79	16	in	in	ADP
ajst-10512	79	17	real	real	ADJ
ajst-10512	79	18	time	time	NOUN
ajst-10512	79	19	by	by	ADP
ajst-10512	79	20	perturbing	perturb	VERB
ajst-10512	79	21	the	the	DET
ajst-10512	79	22	input	input	NOUN
ajst-10512	79	23	data	datum	NOUN
ajst-10512	79	24	,	,	PUNCT
ajst-10512	79	25	instead	instead	ADV
ajst-10512	79	26	of	of	ADP
ajst-10512	79	27	evaluating	evaluate	VERB
ajst-10512	79	28	the	the	DET
ajst-10512	79	29	algorithm	algorithm	NOUN
ajst-10512	79	30	performance	performance	NOUN
ajst-10512	79	31	in	in	ADP
ajst-10512	79	32	the	the	DET
ajst-10512	79	33	worst	bad	ADJ
ajst-10512	79	34	-	-	PUNCT
ajst-10512	79	35	case	case	NOUN
ajst-10512	79	36	scenario	scenario	NOUN
ajst-10512	79	37	in	in	ADP
ajst-10512	79	38	the	the	DET
ajst-10512	79	39	traditional	traditional	ADJ
ajst-10512	79	40	way	way	NOUN
ajst-10512	79	41	,	,	PUNCT
ajst-10512	79	42	and	and	CCONJ
ajst-10512	79	43	this	this	DET
ajst-10512	79	44	research	research	NOUN
ajst-10512	79	45	not	not	PART
ajst-10512	79	46	only	only	ADV
ajst-10512	79	47	won	win	VERB
ajst-10512	79	48	the	the	DET
ajst-10512	79	49	gödel	gödel	PROPN
ajst-10512	79	50	prize	prize	PROPN
ajst-10512	79	51	of	of	ADP
ajst-10512	79	52	theoretical	theoretical	ADJ
ajst-10512	79	53	computer	computer	NOUN
ajst-10512	79	54	science	science	NOUN
ajst-10512	79	55	2008	2008	NUM
ajst-10512	79	56	,	,	PUNCT
ajst-10512	79	57	but	but	CCONJ
ajst-10512	79	58	also	also	ADV
ajst-10512	79	59	was	be	AUX
ajst-10512	79	60	selected	select	VERB
ajst-10512	79	61	as	as	ADP
ajst-10512	79	62	the	the	DET
ajst-10512	79	63	nsf	nsf	PROPN
ajst-10512	79	64	3	3	NUM
ajst-10512	79	65	highlights	highlight	NOUN
ajst-10512	79	66	of	of	ADP
ajst-10512	79	67	the	the	DET
ajst-10512	79	68	year	year	NOUN
ajst-10512	79	69	in	in	ADP
ajst-10512	79	70	computing	computing	NOUN
ajst-10512	79	71	and	and	CCONJ
ajst-10512	79	72	information	information	NOUN
ajst-10512	79	73	science	science	NOUN
ajst-10512	79	74	2003	2003	NUM
ajst-10512	79	75	,	,	PUNCT
ajst-10512	79	76	which	which	PRON
ajst-10512	79	77	aroused	arouse	VERB
ajst-10512	79	78	great	great	ADJ
ajst-10512	79	79	interest	interest	NOUN
ajst-10512	79	80	from	from	ADP
ajst-10512	79	81	related	related	ADJ
ajst-10512	79	82	scholars	scholar	NOUN
ajst-10512	79	83	.	.	PUNCT
ajst-10512	80	1	this	this	DET
ajst-10512	80	2	research	research	NOUN
ajst-10512	80	3	not	not	PART
ajst-10512	80	4	only	only	ADV
ajst-10512	80	5	won	win	VERB
ajst-10512	80	6	the	the	DET
ajst-10512	80	7	2008	2008	NUM
ajst-10512	80	8	gödel	gödel	NOUN
ajst-10512	80	9	prize	prize	NOUN
ajst-10512	80	10	in	in	ADP
ajst-10512	80	11	theoretical	theoretical	ADJ
ajst-10512	80	12	computer	computer	NOUN
ajst-10512	80	13	science	science	NOUN
ajst-10512	80	14	,	,	PUNCT
ajst-10512	80	15	but	but	CCONJ
ajst-10512	80	16	also	also	ADV
ajst-10512	80	17	was	be	AUX
ajst-10512	80	18	selected	select	VERB
ajst-10512	80	19	as	as	ADP
ajst-10512	80	20	one	one	NUM
ajst-10512	80	21	of	of	ADP
ajst-10512	80	22	the	the	DET
ajst-10512	80	23	2003	2003	NUM
ajst-10512	80	24	highlights	highlight	NOUN
ajst-10512	80	25	in	in	ADP
ajst-10512	80	26	computer	computer	NOUN
ajst-10512	80	27	and	and	CCONJ
ajst-10512	80	28	information	information	NOUN
ajst-10512	80	29	science	science	NOUN
ajst-10512	80	30	by	by	ADP
ajst-10512	80	31	the	the	DET
ajst-10512	80	32	nsf	nsf	PROPN
ajst-10512	80	33	,	,	PUNCT
ajst-10512	80	34	attracting	attract	VERB
ajst-10512	80	35	great	great	ADJ
ajst-10512	80	36	interest	interest	NOUN
ajst-10512	80	37	from	from	ADP
ajst-10512	80	38	scholars	scholar	NOUN
ajst-10512	80	39	.	.	PUNCT
ajst-10512	81	1	4	4	X
ajst-10512	81	2	.	.	X
ajst-10512	81	3	conclusion	conclusion	NOUN
ajst-10512	81	4	on	on	ADP
ajst-10512	81	5	the	the	DET
ajst-10512	81	6	one	one	NUM
ajst-10512	81	7	hand	hand	NOUN
ajst-10512	81	8	,	,	PUNCT
ajst-10512	81	9	the	the	DET
ajst-10512	81	10	study	study	NOUN
ajst-10512	81	11	of	of	ADP
ajst-10512	81	12	semantic	semantic	ADJ
ajst-10512	81	13	association	association	NOUN
ajst-10512	81	14	and	and	CCONJ
ajst-10512	81	15	migration	migration	NOUN
ajst-10512	81	16	of	of	ADP
ajst-10512	81	17	visual	visual	ADJ
ajst-10512	81	18	data	datum	NOUN
ajst-10512	81	19	in	in	ADP
ajst-10512	81	20	network	network	NOUN
ajst-10512	81	21	environment	environment	NOUN
ajst-10512	81	22	starts	start	VERB
ajst-10512	81	23	from	from	ADP
ajst-10512	81	24	the	the	DET
ajst-10512	81	25	core	core	NOUN
ajst-10512	81	26	problem	problem	NOUN
ajst-10512	81	27	of	of	ADP
ajst-10512	81	28	visual	visual	ADJ
ajst-10512	81	29	data	datum	NOUN
ajst-10512	81	30	understanding	understanding	NOUN
ajst-10512	81	31	and	and	CCONJ
ajst-10512	81	32	focuses	focus	VERB
ajst-10512	81	33	on	on	ADP
ajst-10512	81	34	the	the	DET
ajst-10512	81	35	association	association	NOUN
ajst-10512	81	36	relationship	relationship	NOUN
ajst-10512	81	37	between	between	ADP
ajst-10512	81	38	visual	visual	ADJ
ajst-10512	81	39	data	datum	NOUN
ajst-10512	81	40	in	in	ADP
ajst-10512	81	41	network	network	NOUN
ajst-10512	81	42	environment	environment	NOUN
ajst-10512	81	43	,	,	PUNCT
ajst-10512	81	44	which	which	PRON
ajst-10512	81	45	will	will	AUX
ajst-10512	81	46	help	help	VERB
ajst-10512	81	47	to	to	PART
ajst-10512	81	48	break	break	VERB
ajst-10512	81	49	through	through	ADP
ajst-10512	81	50	the	the	DET
ajst-10512	81	51	bottleneck	bottleneck	NOUN
ajst-10512	81	52	of	of	ADP
ajst-10512	81	53	semantic	semantic	ADJ
ajst-10512	81	54	understanding	understanding	NOUN
ajst-10512	81	55	technology	technology	NOUN
ajst-10512	81	56	of	of	ADP
ajst-10512	81	57	visual	visual	ADJ
ajst-10512	81	58	perceptual	perceptual	ADJ
ajst-10512	81	59	data	datum	NOUN
ajst-10512	81	60	,	,	PUNCT
ajst-10512	81	61	improve	improve	VERB
ajst-10512	81	62	the	the	DET
ajst-10512	81	63	level	level	NOUN
ajst-10512	81	64	of	of	ADP
ajst-10512	81	65	semantic	semantic	ADJ
ajst-10512	81	66	understanding	understanding	NOUN
ajst-10512	81	67	of	of	ADP
ajst-10512	81	68	network	network	NOUN
ajst-10512	81	69	media	medium	NOUN
ajst-10512	81	70	data	datum	NOUN
ajst-10512	81	71	,	,	PUNCT
ajst-10512	81	72	and	and	CCONJ
ajst-10512	81	73	enrich	enrich	VERB
ajst-10512	81	74	and	and	CCONJ
ajst-10512	81	75	develop	develop	VERB
ajst-10512	81	76	the	the	DET
ajst-10512	81	77	traditional	traditional	ADJ
ajst-10512	81	78	visual	visual	ADJ
ajst-10512	81	79	computing	computing	NOUN
ajst-10512	81	80	theory	theory	NOUN
ajst-10512	81	81	;	;	PUNCT
ajst-10512	81	82	on	on	ADP
ajst-10512	81	83	the	the	DET
ajst-10512	81	84	other	other	ADJ
ajst-10512	81	85	hand	hand	NOUN
ajst-10512	81	86	,	,	PUNCT
ajst-10512	81	87	it	it	PRON
ajst-10512	81	88	will	will	AUX
ajst-10512	81	89	also	also	ADV
ajst-10512	81	90	promote	promote	VERB
ajst-10512	81	91	the	the	DET
ajst-10512	81	92	development	development	NOUN
ajst-10512	81	93	of	of	ADP
ajst-10512	81	94	data	datum	NOUN
ajst-10512	81	95	mining	mining	NOUN
ajst-10512	81	96	,	,	PUNCT
ajst-10512	81	97	machine	machine	NOUN
ajst-10512	81	98	learning	learning	NOUN
ajst-10512	81	99	,	,	PUNCT
ajst-10512	81	100	artificial	artificial	ADJ
ajst-10512	81	101	intelligence	intelligence	NOUN
ajst-10512	81	102	,	,	PUNCT
ajst-10512	81	103	multimedia	multimedia	NOUN
ajst-10512	81	104	technology	technology	NOUN
ajst-10512	81	105	,	,	PUNCT
ajst-10512	81	106	and	and	CCONJ
ajst-10512	81	107	provide	provide	VERB
ajst-10512	81	108	theoretical	theoretical	ADJ
ajst-10512	81	109	and	and	CCONJ
ajst-10512	81	110	technical	technical	ADJ
ajst-10512	81	111	support	support	NOUN
ajst-10512	81	112	for	for	ADP
ajst-10512	81	113	the	the	DET
ajst-10512	81	114	efficient	efficient	ADJ
ajst-10512	81	115	processing	processing	NOUN
ajst-10512	81	116	,	,	PUNCT
ajst-10512	81	117	utilization	utilization	NOUN
ajst-10512	81	118	,	,	PUNCT
ajst-10512	81	119	management	management	NOUN
ajst-10512	81	120	and	and	CCONJ
ajst-10512	81	121	storage	storage	NOUN
ajst-10512	81	122	of	of	ADP
ajst-10512	81	123	massive	massive	ADJ
ajst-10512	81	124	and	and	CCONJ
ajst-10512	81	125	heterogeneous	heterogeneous	ADJ
ajst-10512	81	126	network	network	NOUN
ajst-10512	81	127	media	medium	NOUN
ajst-10512	81	128	data	datum	NOUN
ajst-10512	81	129	.	.	PUNCT
ajst-10512	82	1	on	on	ADP
ajst-10512	82	2	the	the	DET
ajst-10512	82	3	other	other	ADJ
ajst-10512	82	4	hand	hand	NOUN
ajst-10512	82	5	,	,	PUNCT
ajst-10512	82	6	it	it	PRON
ajst-10512	82	7	will	will	AUX
ajst-10512	82	8	also	also	ADV
ajst-10512	82	9	promote	promote	VERB
ajst-10512	82	10	the	the	DET
ajst-10512	82	11	development	development	NOUN
ajst-10512	82	12	of	of	ADP
ajst-10512	82	13	data	datum	NOUN
ajst-10512	82	14	mining	mining	NOUN
ajst-10512	82	15	,	,	PUNCT
ajst-10512	82	16	machine	machine	NOUN
ajst-10512	82	17	learning	learning	NOUN
ajst-10512	82	18	and	and	CCONJ
ajst-10512	82	19	artificial	artificial	ADJ
ajst-10512	82	20	intelligence	intelligence	NOUN
ajst-10512	82	21	,	,	PUNCT
ajst-10512	82	22	multimedia	multimedia	NOUN
ajst-10512	82	23	technology	technology	NOUN
ajst-10512	82	24	,	,	PUNCT
ajst-10512	82	25	and	and	CCONJ
ajst-10512	82	26	provide	provide	VERB
ajst-10512	82	27	theoretical	theoretical	ADJ
ajst-10512	82	28	and	and	CCONJ
ajst-10512	82	29	technical	technical	ADJ
ajst-10512	82	30	support	support	NOUN
ajst-10512	82	31	for	for	ADP
ajst-10512	82	32	the	the	DET
ajst-10512	82	33	efficient	efficient	ADJ
ajst-10512	82	34	processing	processing	NOUN
ajst-10512	82	35	,	,	PUNCT
ajst-10512	82	36	utilization	utilization	NOUN
ajst-10512	82	37	,	,	PUNCT
ajst-10512	82	38	management	management	NOUN
ajst-10512	82	39	and	and	CCONJ
ajst-10512	82	40	storage	storage	NOUN
ajst-10512	82	41	of	of	ADP
ajst-10512	82	42	massive	massive	ADJ
ajst-10512	82	43	and	and	CCONJ
ajst-10512	82	44	heterogeneous	heterogeneous	ADJ
ajst-10512	82	45	online	online	ADJ
ajst-10512	82	46	media	medium	NOUN
ajst-10512	82	47	data	datum	NOUN
ajst-10512	82	48	.	.	PUNCT
ajst-10512	83	1	references	reference	NOUN
ajst-10512	83	2	[	[	X
ajst-10512	83	3	1	1	NUM
ajst-10512	83	4	]	]	X
ajst-10512	83	5	chen	chen	PROPN
ajst-10512	83	6	,	,	PUNCT
ajst-10512	83	7	s.	s.	PROPN
ajst-10512	83	8	,	,	PUNCT
ajst-10512	83	9	li	li	PROPN
ajst-10512	83	10	,	,	PUNCT
ajst-10512	83	11	k.	k.	PROPN
ajst-10512	83	12	,	,	PUNCT
ajst-10512	83	13	fu	fu	PROPN
ajst-10512	83	14	,	,	PUNCT
ajst-10512	83	15	h.	h.	PROPN
ajst-10512	83	16	,	,	PUNCT
ajst-10512	83	17	wu	wu	PROPN
ajst-10512	83	18	,	,	PUNCT
ajst-10512	83	19	y.	y.	PROPN
ajst-10512	83	20	c.	c.	PROPN
ajst-10512	83	21	,	,	PUNCT
ajst-10512	83	22	&	&	CCONJ
ajst-10512	83	23	huang	huang	PROPN
ajst-10512	83	24	,	,	PUNCT
ajst-10512	83	25	y.	y.	PROPN
ajst-10512	83	26	(	(	PUNCT
ajst-10512	83	27	2023	2023	NUM
ajst-10512	83	28	)	)	PUNCT
ajst-10512	83	29	.	.	PUNCT
ajst-10512	84	1	sea	sea	NOUN
ajst-10512	84	2	ice	ice	NOUN
ajst-10512	84	3	extent	extent	NOUN
ajst-10512	84	4	prediction	prediction	NOUN
ajst-10512	84	5	with	with	ADP
ajst-10512	84	6	machine	machine	NOUN
ajst-10512	84	7	learning	learning	NOUN
ajst-10512	84	8	methods	method	NOUN
ajst-10512	84	9	and	and	CCONJ
ajst-10512	84	10	subregional	subregional	ADJ
ajst-10512	84	11	analysis	analysis	NOUN
ajst-10512	84	12	in	in	ADP
ajst-10512	84	13	the	the	DET
ajst-10512	84	14	arctic	arctic	NOUN
ajst-10512	84	15	.	.	PUNCT
ajst-10512	85	1	atmosphere	atmosphere	PROPN
ajst-10512	85	2	,	,	PUNCT
ajst-10512	85	3	14(6	14(6	NOUN
ajst-10512	85	4	)	)	PUNCT
ajst-10512	85	5	,	,	PUNCT
ajst-10512	85	6	1023	1023	NUM
ajst-10512	85	7	.	.	PUNCT
ajst-10512	86	1	[	[	X
ajst-10512	86	2	2	2	NUM
ajst-10512	86	3	]	]	X
ajst-10512	86	4	surden	surden	NOUN
ajst-10512	86	5	,	,	PUNCT
ajst-10512	86	6	h.	h.	PROPN
ajst-10512	86	7	(	(	PUNCT
ajst-10512	86	8	2014	2014	NUM
ajst-10512	86	9	)	)	PUNCT
ajst-10512	86	10	.	.	PUNCT
ajst-10512	86	11	machine	machine	NOUN
ajst-10512	86	12	learning	learning	NOUN
ajst-10512	86	13	and	and	CCONJ
ajst-10512	86	14	law	law	NOUN
ajst-10512	86	15	.	.	PUNCT
ajst-10512	87	1	wash	wash	NOUN
ajst-10512	87	2	.	.	PUNCT
ajst-10512	88	1	l.	l.	PROPN
ajst-10512	88	2	rev	rev	PROPN
ajst-10512	88	3	.	.	PROPN
ajst-10512	88	4	,	,	PUNCT
ajst-10512	88	5	89	89	NUM
ajst-10512	88	6	,	,	PUNCT
ajst-10512	88	7	87	87	NUM
ajst-10512	88	8	.	.	PUNCT
ajst-10512	89	1	[	[	X
ajst-10512	89	2	3	3	NUM
ajst-10512	89	3	]	]	X
ajst-10512	89	4	zhang	zhang	PROPN
ajst-10512	89	5	,	,	PUNCT
ajst-10512	89	6	x.	x.	PROPN
ajst-10512	89	7	,	,	PUNCT
ajst-10512	89	8	li	li	PROPN
ajst-10512	89	9	,	,	PUNCT
ajst-10512	89	10	h.	h.	PROPN
ajst-10512	89	11	,	,	PUNCT
ajst-10512	89	12	jian	jian	PROPN
ajst-10512	89	13	,	,	PUNCT
ajst-10512	89	14	y.	y.	PROPN
ajst-10512	89	15	,	,	PUNCT
ajst-10512	89	16	fu	fu	PROPN
ajst-10512	89	17	,	,	PUNCT
ajst-10512	89	18	h.	h.	PROPN
ajst-10512	89	19	,	,	PUNCT
ajst-10512	89	20	wang	wang	PROPN
ajst-10512	89	21	,	,	PUNCT
ajst-10512	89	22	z.	z.	PROPN
ajst-10512	89	23	,	,	PUNCT
ajst-10512	89	24	&	&	CCONJ
ajst-10512	89	25	xu	xu	PROPN
ajst-10512	89	26	,	,	PUNCT
ajst-10512	89	27	m.	m.	NOUN
ajst-10512	89	28	(	(	PUNCT
ajst-10512	89	29	2022	2022	NUM
ajst-10512	89	30	)	)	PUNCT
ajst-10512	89	31	.	.	PUNCT
ajst-10512	90	1	vernacular	vernacular	ADJ
ajst-10512	90	2	or	or	CCONJ
ajst-10512	90	3	modern	modern	ADJ
ajst-10512	90	4	:	:	PUNCT
ajst-10512	90	5	transitional	transitional	ADJ
ajst-10512	90	6	preferences	preference	NOUN
ajst-10512	90	7	of	of	ADP
ajst-10512	90	8	residents	resident	NOUN
ajst-10512	90	9	living	live	VERB
ajst-10512	90	10	in	in	ADP
ajst-10512	90	11	varied	varied	ADJ
ajst-10512	90	12	stages	stage	NOUN
ajst-10512	90	13	of	of	ADP
ajst-10512	90	14	urbanisation	urbanisation	NOUN
ajst-10512	90	15	regarding	regard	VERB
ajst-10512	90	16	rural	rural	ADJ
ajst-10512	90	17	landscape	landscape	NOUN
ajst-10512	90	18	features	feature	NOUN
ajst-10512	90	19	.	.	PUNCT
ajst-10512	91	1	journal	journal	NOUN
ajst-10512	91	2	of	of	ADP
ajst-10512	91	3	rural	rural	ADJ
ajst-10512	91	4	studies	study	NOUN
ajst-10512	91	5	,	,	PUNCT
ajst-10512	91	6	95	95	NUM
ajst-10512	91	7	,	,	PUNCT
ajst-10512	91	8	95	95	NUM
ajst-10512	91	9	-	-	SYM
ajst-10512	91	10	108	108	NUM
ajst-10512	91	11	.	.	PUNCT
ajst-10512	92	1	[	[	X
ajst-10512	92	2	4	4	NUM
ajst-10512	92	3	]	]	X
ajst-10512	92	4	carbonell	carbonell	PROPN
ajst-10512	92	5	,	,	PUNCT
ajst-10512	92	6	j.	j.	PROPN
ajst-10512	92	7	g.	g.	PROPN
ajst-10512	92	8	,	,	PUNCT
ajst-10512	92	9	michalski	michalski	PROPN
ajst-10512	92	10	,	,	PUNCT
ajst-10512	92	11	r.	r.	PROPN
ajst-10512	92	12	s.	s.	PROPN
ajst-10512	92	13	,	,	PUNCT
ajst-10512	92	14	&	&	CCONJ
ajst-10512	92	15	mitchell	mitchell	PROPN
ajst-10512	92	16	,	,	PUNCT
ajst-10512	92	17	t.	t.	PROPN
ajst-10512	92	18	m.	m.	NOUN
ajst-10512	92	19	(	(	PUNCT
ajst-10512	92	20	1983	1983	NUM
ajst-10512	92	21	)	)	PUNCT
ajst-10512	92	22	.	.	PUNCT
ajst-10512	93	1	an	an	DET
ajst-10512	93	2	overview	overview	NOUN
ajst-10512	93	3	of	of	ADP
ajst-10512	93	4	machine	machine	NOUN
ajst-10512	93	5	learning	learning	NOUN
ajst-10512	93	6	.	.	PUNCT
ajst-10512	94	1	machine	machine	NOUN
ajst-10512	94	2	learning	learning	NOUN
ajst-10512	94	3	,	,	PUNCT
ajst-10512	94	4	3	3	NUM
ajst-10512	94	5	-	-	SYM
ajst-10512	94	6	23	23	NUM
ajst-10512	94	7	.	.	PUNCT
ajst-10512	95	1	[	[	X
ajst-10512	95	2	5	5	NUM
ajst-10512	95	3	]	]	SYM
ajst-10512	95	4	fillo	fillo	PROPN
ajst-10512	95	5	,	,	PUNCT
ajst-10512	95	6	m.	m.	NOUN
ajst-10512	95	7	,	,	PUNCT
ajst-10512	95	8	keckler	keckler	NOUN
ajst-10512	95	9	,	,	PUNCT
ajst-10512	95	10	s.	s.	PROPN
ajst-10512	95	11	w.	w.	PROPN
ajst-10512	95	12	,	,	PUNCT
ajst-10512	95	13	dally	dally	ADV
ajst-10512	95	14	,	,	PUNCT
ajst-10512	95	15	w.	w.	PROPN
ajst-10512	95	16	j.	j.	PROPN
ajst-10512	95	17	,	,	PUNCT
ajst-10512	95	18	carter	carter	PROPN
ajst-10512	95	19	,	,	PUNCT
ajst-10512	95	20	n.	n.	PROPN
ajst-10512	95	21	p.	p.	PROPN
ajst-10512	95	22	,	,	PUNCT
ajst-10512	95	23	chang	chang	PROPN
ajst-10512	95	24	,	,	PUNCT
ajst-10512	95	25	a.	a.	PROPN
ajst-10512	95	26	,	,	PUNCT
ajst-10512	95	27	gurevich	gurevich	PROPN
ajst-10512	95	28	,	,	PUNCT
ajst-10512	95	29	y.	y.	PROPN
ajst-10512	95	30	,	,	PUNCT
ajst-10512	95	31	&	&	CCONJ
ajst-10512	95	32	lee	lee	PROPN
ajst-10512	95	33	,	,	PUNCT
ajst-10512	95	34	w.	w.	PROPN
ajst-10512	95	35	s.	s.	PROPN
ajst-10512	95	36	(	(	PUNCT
ajst-10512	95	37	1997	1997	NUM
ajst-10512	95	38	)	)	PUNCT
ajst-10512	95	39	.	.	PUNCT
ajst-10512	96	1	the	the	DET
ajst-10512	96	2	m	m	NOUN
ajst-10512	96	3	-	-	PUNCT
ajst-10512	96	4	machine	machine	NOUN
ajst-10512	96	5	multicomputer	multicomputer	NOUN
ajst-10512	96	6	.	.	PUNCT
ajst-10512	97	1	international	international	ADJ
ajst-10512	97	2	journal	journal	NOUN
ajst-10512	97	3	of	of	ADP
ajst-10512	97	4	parallel	parallel	ADJ
ajst-10512	97	5	programming	programming	NOUN
ajst-10512	97	6	,	,	PUNCT
ajst-10512	97	7	25	25	NUM
ajst-10512	97	8	,	,	PUNCT
ajst-10512	97	9	183	183	NUM
ajst-10512	97	10	-	-	SYM
ajst-10512	97	11	212	212	NUM
ajst-10512	97	12	.	.	PUNCT
ajst-10512	98	1	[	[	X
ajst-10512	98	2	6	6	NUM
ajst-10512	98	3	]	]	PUNCT
ajst-10512	98	4	avanzo	avanzo	NOUN
ajst-10512	98	5	,	,	PUNCT
ajst-10512	98	6	m.	m.	NOUN
ajst-10512	98	7	,	,	PUNCT
ajst-10512	98	8	wei	wei	PROPN
ajst-10512	98	9	,	,	PUNCT
ajst-10512	98	10	l.	l.	PROPN
ajst-10512	98	11	,	,	PUNCT
ajst-10512	98	12	stancanello	stancanello	PROPN
ajst-10512	98	13	,	,	PUNCT
ajst-10512	98	14	j.	j.	PROPN
ajst-10512	98	15	,	,	PUNCT
ajst-10512	98	16	vallieres	valliere	NOUN
ajst-10512	98	17	,	,	PUNCT
ajst-10512	98	18	m.	m.	NOUN
ajst-10512	98	19	,	,	PUNCT
ajst-10512	98	20	rao	rao	PROPN
ajst-10512	98	21	,	,	PUNCT
ajst-10512	98	22	a.	a.	NOUN
ajst-10512	98	23	,	,	PUNCT
ajst-10512	98	24	morin	morin	NOUN
ajst-10512	98	25	,	,	PUNCT
ajst-10512	98	26	o.	o.	PROPN
ajst-10512	98	27	,	,	PUNCT
ajst-10512	98	28	...	...	PUNCT
ajst-10512	98	29	&	&	CCONJ
ajst-10512	98	30	el	el	PROPN
ajst-10512	98	31	naqa	naqa	PROPN
ajst-10512	98	32	,	,	PUNCT
ajst-10512	98	33	i.	i.	PROPN
ajst-10512	98	34	(	(	PUNCT
ajst-10512	98	35	2020	2020	NUM
ajst-10512	98	36	)	)	PUNCT
ajst-10512	98	37	.	.	PUNCT
ajst-10512	99	1	machine	machine	NOUN
ajst-10512	99	2	and	and	CCONJ
ajst-10512	99	3	deep	deep	ADJ
ajst-10512	99	4	learning	learning	NOUN
ajst-10512	99	5	methods	method	NOUN
ajst-10512	99	6	for	for	ADP
ajst-10512	99	7	radiomics	radiomic	NOUN
ajst-10512	99	8	.	.	PUNCT
ajst-10512	100	1	medical	medical	ADJ
ajst-10512	100	2	physics	physics	PROPN
ajst-10512	100	3	,	,	PUNCT
ajst-10512	100	4	47(5	47(5	NOUN
ajst-10512	100	5	)	)	PUNCT
ajst-10512	100	6	,	,	PUNCT
ajst-10512	100	7	e185	e185	PROPN
ajst-10512	100	8	-	-	PUNCT
ajst-10512	100	9	e202	e202	PROPN
ajst-10512	100	10	.	.	PUNCT
ajst-10512	101	1	[	[	X
ajst-10512	101	2	7	7	NUM
ajst-10512	101	3	]	]	X
ajst-10512	101	4	zantalis	zantalis	PROPN
ajst-10512	101	5	,	,	PUNCT
ajst-10512	101	6	f.	f.	PROPN
ajst-10512	101	7	,	,	PUNCT
ajst-10512	101	8	koulouras	koulouras	PROPN
ajst-10512	101	9	,	,	PUNCT
ajst-10512	101	10	g.	g.	PROPN
ajst-10512	101	11	,	,	PUNCT
ajst-10512	101	12	karabetsos	karabetsos	PROPN
ajst-10512	101	13	,	,	PUNCT
ajst-10512	101	14	s.	s.	PROPN
ajst-10512	101	15	,	,	PUNCT
ajst-10512	101	16	&	&	CCONJ
ajst-10512	101	17	kandris	kandris	PROPN
ajst-10512	101	18	,	,	PUNCT
ajst-10512	101	19	d.	d.	PROPN
ajst-10512	101	20	(	(	PUNCT
ajst-10512	101	21	2019	2019	NUM
ajst-10512	101	22	)	)	PUNCT
ajst-10512	101	23	.	.	PUNCT
ajst-10512	102	1	a	a	DET
ajst-10512	102	2	review	review	NOUN
ajst-10512	102	3	of	of	ADP
ajst-10512	102	4	machine	machine	NOUN
ajst-10512	102	5	learning	learning	NOUN
ajst-10512	102	6	and	and	CCONJ
ajst-10512	102	7	iot	iot	VERB
ajst-10512	102	8	in	in	ADP
ajst-10512	102	9	smart	smart	ADJ
ajst-10512	102	10	transportation	transportation	NOUN
ajst-10512	102	11	.	.	PUNCT
ajst-10512	103	1	future	future	ADJ
ajst-10512	103	2	internet	internet	NOUN
ajst-10512	103	3	,	,	PUNCT
ajst-10512	103	4	11(4	11(4	NUM
ajst-10512	103	5	)	)	PUNCT
ajst-10512	103	6	,	,	PUNCT
ajst-10512	103	7	94	94	NUM
ajst-10512	103	8	.	.	PUNCT
ajst-10512	104	1	[	[	X
ajst-10512	104	2	8	8	NUM
ajst-10512	104	3	]	]	X
ajst-10512	104	4	meyer	meyer	PROPN
ajst-10512	104	5	,	,	PUNCT
ajst-10512	104	6	p.	p.	PROPN
ajst-10512	104	7	,	,	PUNCT
ajst-10512	104	8	noblet	noblet	ADJ
ajst-10512	104	9	,	,	PUNCT
ajst-10512	104	10	v.	v.	ADV
ajst-10512	104	11	,	,	PUNCT
ajst-10512	104	12	mazzara	mazzara	NOUN
ajst-10512	104	13	,	,	PUNCT
ajst-10512	104	14	c.	c.	NOUN
ajst-10512	104	15	,	,	PUNCT
ajst-10512	104	16	&	&	CCONJ
ajst-10512	104	17	lallement	lallement	NOUN
ajst-10512	104	18	,	,	PUNCT
ajst-10512	104	19	a.	a.	NOUN
ajst-10512	104	20	(	(	PUNCT
ajst-10512	104	21	2018	2018	NUM
ajst-10512	104	22	)	)	PUNCT
ajst-10512	104	23	.	.	PUNCT
ajst-10512	105	1	survey	survey	NOUN
ajst-10512	105	2	on	on	ADP
ajst-10512	105	3	deep	deep	ADJ
ajst-10512	105	4	learning	learning	NOUN
ajst-10512	105	5	for	for	ADP
ajst-10512	105	6	radiotherapy	radiotherapy	NOUN
ajst-10512	105	7	.	.	PUNCT
ajst-10512	106	1	computers	computer	NOUN
ajst-10512	106	2	in	in	ADP
ajst-10512	106	3	biology	biology	NOUN
ajst-10512	106	4	and	and	CCONJ
ajst-10512	106	5	medicine	medicine	NOUN
ajst-10512	106	6	,	,	PUNCT
ajst-10512	106	7	98	98	NUM
ajst-10512	106	8	,	,	PUNCT
ajst-10512	106	9	126	126	NUM
ajst-10512	106	10	-	-	SYM
ajst-10512	106	11	146	146	NUM
ajst-10512	106	12	.	.	PUNCT
ajst-10512	107	1	[	[	X
ajst-10512	107	2	9	9	NUM
ajst-10512	107	3	]	]	SYM
ajst-10512	107	4	tang	tang	PROPN
ajst-10512	107	5	,	,	PUNCT
ajst-10512	107	6	b.	b.	PROPN
ajst-10512	107	7	,	,	PUNCT
ajst-10512	107	8	fu	fu	PROPN
ajst-10512	107	9	,	,	PUNCT
ajst-10512	107	10	h.	h.	PROPN
ajst-10512	107	11	,	,	PUNCT
ajst-10512	107	12	&	&	CCONJ
ajst-10512	107	13	wu	wu	PROPN
ajst-10512	107	14	,	,	PUNCT
ajst-10512	107	15	y.	y.	PROPN
ajst-10512	107	16	c.	c.	PROPN
ajst-10512	107	17	on	on	ADP
ajst-10512	107	18	reservation	reservation	NOUN
ajst-10512	107	19	prices	price	NOUN
ajst-10512	107	20	in	in	ADP
ajst-10512	107	21	the	the	DET
ajst-10512	107	22	all‐	all‐	PROPN
ajst-10512	107	23	pay	pay	NOUN
ajst-10512	107	24	contest	contest	NOUN
ajst-10512	107	25	with	with	ADP
ajst-10512	107	26	correlated	correlate	VERB
ajst-10512	107	27	information	information	NOUN
ajst-10512	107	28	.	.	PUNCT
ajst-10512	108	1	managerial	managerial	ADJ
ajst-10512	108	2	and	and	CCONJ
ajst-10512	108	3	decision	decision	NOUN
ajst-10512	108	4	economics	economic	NOUN
ajst-10512	108	5	.	.	PUNCT
ajst-10512	109	1	[	[	X
ajst-10512	109	2	10	10	NUM
ajst-10512	109	3	]	]	X
ajst-10512	109	4	tang	tang	PROPN
ajst-10512	109	5	,	,	PUNCT
ajst-10512	109	6	j.	j.	PROPN
ajst-10512	109	7	,	,	PUNCT
ajst-10512	109	8	tang	tang	PROPN
ajst-10512	109	9	,	,	PUNCT
ajst-10512	109	10	l.	l.	PROPN
ajst-10512	109	11	,	,	PUNCT
ajst-10512	109	12	wu	wu	PROPN
ajst-10512	109	13	,	,	PUNCT
ajst-10512	109	14	h.	h.	PROPN
ajst-10512	109	15	,	,	PUNCT
ajst-10512	109	16	wu	wu	PROPN
ajst-10512	109	17	,	,	PUNCT
ajst-10512	109	18	y.	y.	PROPN
ajst-10512	109	19	,	,	PUNCT
ajst-10512	109	20	sun	sun	PROPN
ajst-10512	109	21	,	,	PUNCT
ajst-10512	109	22	h.	h.	PROPN
ajst-10512	109	23	,	,	PUNCT
ajst-10512	109	24	zhang	zhang	PROPN
ajst-10512	109	25	,	,	PUNCT
ajst-10512	109	26	h.	h.	PROPN
ajst-10512	109	27	,	,	PUNCT
ajst-10512	109	28	...	...	PUNCT
ajst-10512	109	29	&	&	CCONJ
ajst-10512	109	30	xia	xia	PROPN
ajst-10512	109	31	,	,	PUNCT
ajst-10512	109	32	k.	k.	PROPN
ajst-10512	109	33	(	(	PUNCT
ajst-10512	109	34	2021	2021	NUM
ajst-10512	109	35	)	)	PUNCT
ajst-10512	109	36	.	.	PUNCT
ajst-10512	110	1	towards	towards	ADP
ajst-10512	110	2	on	on	ADP
ajst-10512	110	3	-	-	PUNCT
ajst-10512	110	4	demand	demand	NOUN
ajst-10512	110	5	heralded	herald	VERB
ajst-10512	110	6	single	single	ADJ
ajst-10512	110	7	-	-	PUNCT
ajst-10512	110	8	photon	photon	NOUN
ajst-10512	110	9	sources	source	NOUN
ajst-10512	110	10	via	via	ADP
ajst-10512	110	11	photon	photon	NOUN
ajst-10512	110	12	blockade	blockade	NOUN
ajst-10512	110	13	.	.	PUNCT
ajst-10512	111	1	physical	physical	ADJ
ajst-10512	111	2	review	review	NOUN
ajst-10512	111	3	applied	apply	VERB
ajst-10512	111	4	,	,	PUNCT
ajst-10512	111	5	15(6	15(6	NUM
ajst-10512	111	6	)	)	PUNCT
ajst-10512	111	7	,	,	PUNCT
ajst-10512	111	8	064020	064020	NUM
ajst-10512	111	9	.	.	PUNCT