id	sid	tid	token	lemma	pos
ajst-12256	1	1	academic	academic	ADJ
ajst-12256	1	2	journal	journal	NOUN
ajst-12256	1	3	of	of	ADP
ajst-12256	1	4	science	science	NOUN
ajst-12256	1	5	and	and	CCONJ
ajst-12256	1	6	technology	technology	NOUN
ajst-12256	1	7	issn	issn	NOUN
ajst-12256	1	8	:	:	PUNCT
ajst-12256	1	9	2771	2771	NUM
ajst-12256	1	10	-	-	SYM
ajst-12256	1	11	3032	3032	NUM
ajst-12256	1	12	|	|	NOUN
ajst-12256	1	13	vol	vol	NOUN
ajst-12256	1	14	.	.	PROPN
ajst-12256	2	1	7	7	NUM
ajst-12256	2	2	,	,	PUNCT
ajst-12256	2	3	no	no	INTJ
ajst-12256	2	4	.	.	NOUN
ajst-12256	2	5	2	2	NUM
ajst-12256	2	6	,	,	PUNCT
ajst-12256	2	7	2023	2023	NUM
ajst-12256	2	8	148	148	NUM
ajst-12256	2	9	ancient	ancient	ADJ
ajst-12256	2	10	architectural	architectural	ADJ
ajst-12256	2	11	damage	damage	NOUN
ajst-12256	2	12	recognition	recognition	NOUN
ajst-12256	2	13	based	base	VERB
ajst-12256	2	14	on	on	ADP
ajst-12256	2	15	alexnet	alexnet	ADJ
ajst-12256	2	16	and	and	CCONJ
ajst-12256	2	17	transfer	transfer	VERB
ajst-12256	2	18	learning	learn	VERB
ajst-12256	2	19	liang	liang	PROPN
ajst-12256	2	20	wang1	wang1	PROPN
ajst-12256	2	21	,	,	PUNCT
ajst-12256	2	22	ke	ke	PROPN
ajst-12256	2	23	ding2	ding2	PROPN
ajst-12256	3	1	1college	1college	NUM
ajst-12256	3	2	of	of	ADP
ajst-12256	3	3	civil	civil	ADJ
ajst-12256	3	4	engineering	engineering	NOUN
ajst-12256	3	5	and	and	CCONJ
ajst-12256	3	6	mechanics	mechanic	NOUN
ajst-12256	3	7	,	,	PUNCT
ajst-12256	3	8	central	central	ADJ
ajst-12256	3	9	south	south	PROPN
ajst-12256	3	10	university	university	PROPN
ajst-12256	3	11	of	of	ADP
ajst-12256	3	12	forestry	forestry	NOUN
ajst-12256	3	13	and	and	CCONJ
ajst-12256	3	14	technology	technology	NOUN
ajst-12256	3	15	,	,	PUNCT
ajst-12256	3	16	changsha	changsha	PROPN
ajst-12256	3	17	410004	410004	NUM
ajst-12256	3	18	,	,	PUNCT
ajst-12256	3	19	china	china	PROPN
ajst-12256	3	20	2hunan	2hunan	NUM
ajst-12256	3	21	provincial	provincial	ADJ
ajst-12256	3	22	key	key	ADJ
ajst-12256	3	23	laboratory	laboratory	NOUN
ajst-12256	3	24	of	of	ADP
ajst-12256	3	25	engineering	engineering	NOUN
ajst-12256	3	26	rheology	rheology	NOUN
ajst-12256	3	27	,	,	PUNCT
ajst-12256	3	28	central	central	ADJ
ajst-12256	3	29	south	south	PROPN
ajst-12256	3	30	university	university	PROPN
ajst-12256	3	31	of	of	ADP
ajst-12256	3	32	forestry	forestry	NOUN
ajst-12256	3	33	and	and	CCONJ
ajst-12256	3	34	technology	technology	NOUN
ajst-12256	3	35	,	,	PUNCT
ajst-12256	3	36	changsha	changsha	PROPN
ajst-12256	3	37	410004	410004	NUM
ajst-12256	3	38	,	,	PUNCT
ajst-12256	3	39	china	china	PROPN
ajst-12256	3	40	abstract	abstract	PROPN
ajst-12256	3	41	:	:	PUNCT
ajst-12256	3	42	due	due	ADP
ajst-12256	3	43	to	to	ADP
ajst-12256	3	44	the	the	DET
ajst-12256	3	45	need	need	NOUN
ajst-12256	3	46	for	for	ADP
ajst-12256	3	47	a	a	DET
ajst-12256	3	48	large	large	ADJ
ajst-12256	3	49	dataset	dataset	NOUN
ajst-12256	3	50	to	to	PART
ajst-12256	3	51	train	train	VERB
ajst-12256	3	52	image	image	NOUN
ajst-12256	3	53	recognition	recognition	NOUN
ajst-12256	3	54	using	use	VERB
ajst-12256	3	55	convolutional	convolutional	ADJ
ajst-12256	3	56	neural	neural	ADJ
ajst-12256	3	57	networks	network	NOUN
ajst-12256	3	58	,	,	PUNCT
ajst-12256	3	59	obtaining	obtain	VERB
ajst-12256	3	60	accurately	accurately	ADV
ajst-12256	3	61	categorized	categorize	VERB
ajst-12256	3	62	images	image	NOUN
ajst-12256	3	63	of	of	ADP
ajst-12256	3	64	ancient	ancient	ADJ
ajst-12256	3	65	architectural	architectural	ADJ
ajst-12256	3	66	structure	structure	NOUN
ajst-12256	3	67	damage	damage	NOUN
ajst-12256	3	68	poses	pose	VERB
ajst-12256	3	69	certain	certain	ADJ
ajst-12256	3	70	challenges	challenge	NOUN
ajst-12256	3	71	.	.	PUNCT
ajst-12256	4	1	to	to	PART
ajst-12256	4	2	improve	improve	VERB
ajst-12256	4	3	the	the	DET
ajst-12256	4	4	recognition	recognition	NOUN
ajst-12256	4	5	accuracy	accuracy	NOUN
ajst-12256	4	6	of	of	ADP
ajst-12256	4	7	damage	damage	NOUN
ajst-12256	4	8	in	in	ADP
ajst-12256	4	9	ancient	ancient	ADJ
ajst-12256	4	10	architectural	architectural	ADJ
ajst-12256	4	11	structures	structure	NOUN
ajst-12256	4	12	,	,	PUNCT
ajst-12256	4	13	we	we	PRON
ajst-12256	4	14	have	have	AUX
ajst-12256	4	15	enhanced	enhance	VERB
ajst-12256	4	16	the	the	DET
ajst-12256	4	17	vgg-16	vgg-16	NOUN
ajst-12256	4	18	network	network	NOUN
ajst-12256	4	19	by	by	ADP
ajst-12256	4	20	combining	combine	VERB
ajst-12256	4	21	transfer	transfer	NOUN
ajst-12256	4	22	learning	learn	VERB
ajst-12256	4	23	techniques	technique	NOUN
ajst-12256	4	24	with	with	ADP
ajst-12256	4	25	convolutional	convolutional	ADJ
ajst-12256	4	26	neural	neural	ADJ
ajst-12256	4	27	networks	network	NOUN
ajst-12256	4	28	.	.	PUNCT
ajst-12256	5	1	this	this	DET
ajst-12256	5	2	design	design	NOUN
ajst-12256	5	3	,	,	PUNCT
ajst-12256	5	4	a	a	DET
ajst-12256	5	5	new	new	ADJ
ajst-12256	5	6	image	image	NOUN
ajst-12256	5	7	recognition	recognition	NOUN
ajst-12256	5	8	method	method	NOUN
ajst-12256	5	9	based	base	VERB
ajst-12256	5	10	on	on	ADP
ajst-12256	5	11	transfer	transfer	NOUN
ajst-12256	5	12	learning	learning	NOUN
ajst-12256	5	13	,	,	PUNCT
ajst-12256	5	14	effectively	effectively	ADV
ajst-12256	5	15	achieves	achieve	VERB
ajst-12256	5	16	precise	precise	ADJ
ajst-12256	5	17	identification	identification	NOUN
ajst-12256	5	18	of	of	ADP
ajst-12256	5	19	structural	structural	ADJ
ajst-12256	5	20	damage	damage	NOUN
ajst-12256	5	21	in	in	ADP
ajst-12256	5	22	ancient	ancient	ADJ
ajst-12256	5	23	architecture	architecture	NOUN
ajst-12256	5	24	,	,	PUNCT
ajst-12256	5	25	showing	show	VERB
ajst-12256	5	26	potential	potential	NOUN
ajst-12256	5	27	for	for	ADP
ajst-12256	5	28	real	real	ADJ
ajst-12256	5	29	-	-	PUNCT
ajst-12256	5	30	world	world	NOUN
ajst-12256	5	31	applications	application	NOUN
ajst-12256	5	32	.	.	PUNCT
ajst-12256	6	1	keywords	keyword	NOUN
ajst-12256	6	2	:	:	PUNCT
ajst-12256	6	3	ancient	ancient	ADJ
ajst-12256	6	4	architecture	architecture	NOUN
ajst-12256	6	5	;	;	PUNCT
ajst-12256	6	6	damage	damage	NOUN
ajst-12256	6	7	identification	identification	NOUN
ajst-12256	6	8	;	;	PUNCT
ajst-12256	6	9	convolutional	convolutional	ADJ
ajst-12256	6	10	neural	neural	ADJ
ajst-12256	6	11	network	network	NOUN
ajst-12256	6	12	;	;	PUNCT
ajst-12256	6	13	transfer	transfer	NOUN
ajst-12256	6	14	learning	learning	NOUN
ajst-12256	6	15	.	.	PUNCT
ajst-12256	7	1	1	1	X
ajst-12256	7	2	.	.	X
ajst-12256	7	3	introduction	introduction	NOUN
ajst-12256	7	4	currently	currently	ADV
ajst-12256	7	5	,	,	PUNCT
ajst-12256	7	6	a	a	DET
ajst-12256	7	7	plethora	plethora	NOUN
ajst-12256	7	8	of	of	ADP
ajst-12256	7	9	ancient	ancient	ADJ
ajst-12256	7	10	architectures	architecture	NOUN
ajst-12256	7	11	can	can	AUX
ajst-12256	7	12	be	be	AUX
ajst-12256	7	13	found	find	VERB
ajst-12256	7	14	across	across	ADP
ajst-12256	7	15	china	china	PROPN
ajst-12256	7	16	.	.	PUNCT
ajst-12256	8	1	these	these	DET
ajst-12256	8	2	edifices	edifice	NOUN
ajst-12256	8	3	are	be	AUX
ajst-12256	8	4	not	not	PART
ajst-12256	8	5	merely	merely	ADV
ajst-12256	8	6	conglomerations	conglomeration	NOUN
ajst-12256	8	7	of	of	ADP
ajst-12256	8	8	stones	stone	NOUN
ajst-12256	8	9	and	and	CCONJ
ajst-12256	8	10	earth	earth	NOUN
ajst-12256	8	11	.	.	PUNCT
ajst-12256	9	1	instead	instead	ADV
ajst-12256	9	2	,	,	PUNCT
ajst-12256	9	3	they	they	PRON
ajst-12256	9	4	stand	stand	VERB
ajst-12256	9	5	as	as	ADP
ajst-12256	9	6	testimonies	testimony	NOUN
ajst-12256	9	7	to	to	ADP
ajst-12256	9	8	history	history	NOUN
ajst-12256	9	9	,	,	PUNCT
ajst-12256	9	10	bearers	bearer	NOUN
ajst-12256	9	11	of	of	ADP
ajst-12256	9	12	culture	culture	NOUN
ajst-12256	9	13	,	,	PUNCT
ajst-12256	9	14	and	and	CCONJ
ajst-12256	9	15	emblems	emblem	NOUN
ajst-12256	9	16	of	of	ADP
ajst-12256	9	17	national	national	ADJ
ajst-12256	9	18	pride	pride	NOUN
ajst-12256	9	19	.	.	PUNCT
ajst-12256	10	1	however	however	ADV
ajst-12256	10	2	,	,	PUNCT
ajst-12256	10	3	as	as	SCONJ
ajst-12256	10	4	time	time	NOUN
ajst-12256	10	5	progresses	progress	VERB
ajst-12256	10	6	,	,	PUNCT
ajst-12256	10	7	many	many	ADJ
ajst-12256	10	8	of	of	ADP
ajst-12256	10	9	these	these	DET
ajst-12256	10	10	ancient	ancient	ADJ
ajst-12256	10	11	buildings	building	NOUN
ajst-12256	10	12	face	face	VERB
ajst-12256	10	13	grave	grave	ADJ
ajst-12256	10	14	threats	threat	NOUN
ajst-12256	10	15	of	of	ADP
ajst-12256	10	16	extensive	extensive	ADJ
ajst-12256	10	17	damage	damage	NOUN
ajst-12256	10	18	and	and	CCONJ
ajst-12256	10	19	potential	potential	ADJ
ajst-12256	10	20	erasure	erasure	NOUN
ajst-12256	10	21	.	.	PUNCT
ajst-12256	11	1	their	their	PRON
ajst-12256	11	2	preservation	preservation	NOUN
ajst-12256	11	3	is	be	AUX
ajst-12256	11	4	imperative	imperative	ADJ
ajst-12256	11	5	,	,	PUNCT
ajst-12256	11	6	for	for	SCONJ
ajst-12256	11	7	if	if	SCONJ
ajst-12256	11	8	lost	lose	VERB
ajst-12256	11	9	,	,	PUNCT
ajst-12256	11	10	the	the	DET
ajst-12256	11	11	interwoven	interwoven	ADJ
ajst-12256	11	12	tapestries	tapestry	NOUN
ajst-12256	11	13	of	of	ADP
ajst-12256	11	14	culture	culture	NOUN
ajst-12256	11	15	and	and	CCONJ
ajst-12256	11	16	history	history	NOUN
ajst-12256	11	17	they	they	PRON
ajst-12256	11	18	represent	represent	VERB
ajst-12256	11	19	would	would	AUX
ajst-12256	11	20	be	be	AUX
ajst-12256	11	21	irretrievably	irretrievably	ADV
ajst-12256	11	22	erased	erase	VERB
ajst-12256	11	23	as	as	ADV
ajst-12256	11	24	well	well	ADV
ajst-12256	11	25	.	.	PUNCT
ajst-12256	12	1	ancient	ancient	ADJ
ajst-12256	12	2	structures	structure	NOUN
ajst-12256	12	3	,	,	PUNCT
ajst-12256	12	4	already	already	ADV
ajst-12256	12	5	grappling	grapple	VERB
ajst-12256	12	6	with	with	ADP
ajst-12256	12	7	the	the	DET
ajst-12256	12	8	wear	wear	NOUN
ajst-12256	12	9	and	and	CCONJ
ajst-12256	12	10	tear	tear	NOUN
ajst-12256	12	11	of	of	ADP
ajst-12256	12	12	age	age	NOUN
ajst-12256	12	13	,	,	PUNCT
ajst-12256	12	14	continue	continue	VERB
ajst-12256	12	15	to	to	PART
ajst-12256	12	16	be	be	AUX
ajst-12256	12	17	eroded	erode	VERB
ajst-12256	12	18	by	by	ADP
ajst-12256	12	19	natural	natural	ADJ
ajst-12256	12	20	disasters	disaster	NOUN
ajst-12256	12	21	due	due	ADP
ajst-12256	12	22	to	to	ADP
ajst-12256	12	23	the	the	DET
ajst-12256	12	24	influence	influence	NOUN
ajst-12256	12	25	of	of	ADP
ajst-12256	12	26	multifaceted	multifaceted	ADJ
ajst-12256	12	27	environmental	environmental	ADJ
ajst-12256	12	28	factors	factor	NOUN
ajst-12256	12	29	,	,	PUNCT
ajst-12256	12	30	invariably	invariably	ADV
ajst-12256	12	31	resulting	result	VERB
ajst-12256	12	32	in	in	ADP
ajst-12256	12	33	varying	vary	VERB
ajst-12256	12	34	degrees	degree	NOUN
ajst-12256	12	35	of	of	ADP
ajst-12256	12	36	damage	damage	NOUN
ajst-12256	12	37	.	.	PUNCT
ajst-12256	13	1	to	to	PART
ajst-12256	13	2	safeguard	safeguard	VERB
ajst-12256	13	3	these	these	DET
ajst-12256	13	4	invaluable	invaluable	ADJ
ajst-12256	13	5	structures	structure	NOUN
ajst-12256	13	6	for	for	ADP
ajst-12256	13	7	posterity	posterity	NOUN
ajst-12256	13	8	,	,	PUNCT
ajst-12256	13	9	recognizing	recognize	VERB
ajst-12256	13	10	the	the	DET
ajst-12256	13	11	damages	damage	NOUN
ajst-12256	13	12	in	in	ADP
ajst-12256	13	13	these	these	DET
ajst-12256	13	14	ancient	ancient	ADJ
ajst-12256	13	15	architectures	architecture	NOUN
ajst-12256	13	16	is	be	AUX
ajst-12256	13	17	of	of	ADP
ajst-12256	13	18	paramount	paramount	ADJ
ajst-12256	13	19	importance	importance	NOUN
ajst-12256	13	20	.	.	PUNCT
ajst-12256	14	1	there	there	PRON
ajst-12256	14	2	's	be	VERB
ajst-12256	14	3	a	a	DET
ajst-12256	14	4	pressing	press	VERB
ajst-12256	14	5	need	need	NOUN
ajst-12256	14	6	to	to	PART
ajst-12256	14	7	periodically	periodically	ADV
ajst-12256	14	8	inspect	inspect	VERB
ajst-12256	14	9	and	and	CCONJ
ajst-12256	14	10	assess	assess	VERB
ajst-12256	14	11	these	these	DET
ajst-12256	14	12	structures	structure	NOUN
ajst-12256	14	13	,	,	PUNCT
ajst-12256	14	14	pinpointing	pinpoint	VERB
ajst-12256	14	15	the	the	DET
ajst-12256	14	16	location	location	NOUN
ajst-12256	14	17	and	and	CCONJ
ajst-12256	14	18	degree	degree	NOUN
ajst-12256	14	19	of	of	ADP
ajst-12256	14	20	damage	damage	NOUN
ajst-12256	14	21	,	,	PUNCT
ajst-12256	14	22	thereby	thereby	ADV
ajst-12256	14	23	preempting	preempt	VERB
ajst-12256	14	24	any	any	DET
ajst-12256	14	25	catastrophic	catastrophic	ADJ
ajst-12256	14	26	structural	structural	ADJ
ajst-12256	14	27	failures	failure	NOUN
ajst-12256	14	28	.	.	PUNCT
ajst-12256	15	1	traditional	traditional	ADJ
ajst-12256	15	2	methods	method	NOUN
ajst-12256	15	3	for	for	ADP
ajst-12256	15	4	inspecting	inspect	VERB
ajst-12256	15	5	structural	structural	ADJ
ajst-12256	15	6	damages	damage	NOUN
ajst-12256	15	7	in	in	ADP
ajst-12256	15	8	ancient	ancient	ADJ
ajst-12256	15	9	buildings	building	NOUN
ajst-12256	15	10	chiefly	chiefly	ADV
ajst-12256	15	11	encompass	encompass	VERB
ajst-12256	15	12	nondestructive	nondestructive	ADJ
ajst-12256	15	13	testing	testing	NOUN
ajst-12256	15	14	techniques[1	techniques[1	X
ajst-12256	15	15	]	]	PUNCT
ajst-12256	15	16	and	and	CCONJ
ajst-12256	15	17	damage	damage	NOUN
ajst-12256	15	18	identification	identification	NOUN
ajst-12256	15	19	approaches	approach	NOUN
ajst-12256	15	20	predicated	predicate	VERB
ajst-12256	15	21	on	on	ADP
ajst-12256	15	22	structural	structural	ADJ
ajst-12256	15	23	dynamic	dynamic	ADJ
ajst-12256	15	24	characteristics	characteristic	NOUN
ajst-12256	15	25	.	.	PUNCT
ajst-12256	16	1	with	with	ADP
ajst-12256	16	2	the	the	DET
ajst-12256	16	3	advancement	advancement	NOUN
ajst-12256	16	4	of	of	ADP
ajst-12256	16	5	artificial	artificial	ADJ
ajst-12256	16	6	intelligence	intelligence	NOUN
ajst-12256	16	7	(	(	PUNCT
ajst-12256	16	8	ai	ai	NOUN
ajst-12256	16	9	)	)	PUNCT
ajst-12256	16	10	technology	technology	NOUN
ajst-12256	16	11	,	,	PUNCT
ajst-12256	16	12	numerous	numerous	ADJ
ajst-12256	16	13	sectors	sector	NOUN
ajst-12256	16	14	have	have	AUX
ajst-12256	16	15	adeptly	adeptly	ADV
ajst-12256	16	16	integrated	integrate	VERB
ajst-12256	16	17	ai	ai	NOUN
ajst-12256	16	18	to	to	ADP
ajst-12256	16	19	their	their	PRON
ajst-12256	16	20	advantage	advantage	NOUN
ajst-12256	16	21	,	,	PUNCT
ajst-12256	16	22	and	and	CCONJ
ajst-12256	16	23	the	the	DET
ajst-12256	16	24	realm	realm	NOUN
ajst-12256	16	25	of	of	ADP
ajst-12256	16	26	structural	structural	ADJ
ajst-12256	16	27	damage	damage	NOUN
ajst-12256	16	28	detection	detection	NOUN
ajst-12256	16	29	is	be	AUX
ajst-12256	16	30	no	no	DET
ajst-12256	16	31	exception	exception	NOUN
ajst-12256	16	32	.	.	PUNCT
ajst-12256	17	1	incorporating	incorporate	VERB
ajst-12256	17	2	deep	deep	ADJ
ajst-12256	17	3	learning	learning	NOUN
ajst-12256	17	4	techniques	technique	NOUN
ajst-12256	17	5	into	into	ADP
ajst-12256	17	6	this	this	DET
ajst-12256	17	7	domain	domain	NOUN
ajst-12256	17	8	has	have	AUX
ajst-12256	17	9	yielded	yield	VERB
ajst-12256	17	10	commendable	commendable	ADJ
ajst-12256	17	11	outcomes.[2	outcomes.[2	ADV
ajst-12256	17	12	]	]	X
ajst-12256	17	13	these	these	DET
ajst-12256	17	14	deep	deep	ADJ
ajst-12256	17	15	learning	learning	NOUN
ajst-12256	17	16	techniques	technique	NOUN
ajst-12256	17	17	embrace	embrace	NOUN
ajst-12256	17	18	,	,	PUNCT
ajst-12256	17	19	but	but	CCONJ
ajst-12256	17	20	are	be	AUX
ajst-12256	17	21	not	not	PART
ajst-12256	17	22	restricted	restrict	VERB
ajst-12256	17	23	to	to	ADP
ajst-12256	17	24	,	,	PUNCT
ajst-12256	17	25	neural	neural	ADJ
ajst-12256	17	26	networks	network	NOUN
ajst-12256	17	27	,	,	PUNCT
ajst-12256	17	28	support	support	VERB
ajst-12256	17	29	vector	vector	NOUN
ajst-12256	17	30	machines	machine	NOUN
ajst-12256	17	31	,	,	PUNCT
ajst-12256	17	32	random	random	ADJ
ajst-12256	17	33	forests	forest	NOUN
ajst-12256	17	34	for	for	ADP
ajst-12256	17	35	damage	damage	NOUN
ajst-12256	17	36	detection	detection	NOUN
ajst-12256	17	37	,	,	PUNCT
ajst-12256	17	38	and	and	CCONJ
ajst-12256	17	39	data	datum	NOUN
ajst-12256	17	40	processing	processing	NOUN
ajst-12256	17	41	methods	method	NOUN
ajst-12256	17	42	such	such	ADJ
ajst-12256	17	43	as	as	ADP
ajst-12256	17	44	principal	principal	ADJ
ajst-12256	17	45	component	component	NOUN
ajst-12256	17	46	analysis	analysis	NOUN
ajst-12256	17	47	and	and	CCONJ
ajst-12256	17	48	independent	independent	ADJ
ajst-12256	17	49	component	component	NOUN
ajst-12256	17	50	analysis	analysis	NOUN
ajst-12256	17	51	.	.	PUNCT
ajst-12256	18	1	particularly	particularly	ADV
ajst-12256	18	2	,	,	PUNCT
ajst-12256	18	3	neural	neural	ADJ
ajst-12256	18	4	networks	network	NOUN
ajst-12256	18	5	—	—	PUNCT
ajst-12256	18	6	a	a	DET
ajst-12256	18	7	vast	vast	ADJ
ajst-12256	18	8	interdisciplinary	interdisciplinary	ADJ
ajst-12256	18	9	domain	domain	NOUN
ajst-12256	18	10	—	—	PUNCT
ajst-12256	18	11	have	have	AUX
ajst-12256	18	12	matured	mature	VERB
ajst-12256	18	13	considerably	considerably	ADV
ajst-12256	18	14	in	in	ADP
ajst-12256	18	15	their	their	PRON
ajst-12256	18	16	application	application	NOUN
ajst-12256	18	17	to	to	PART
ajst-12256	18	18	detect	detect	VERB
ajst-12256	18	19	damages	damage	NOUN
ajst-12256	18	20	in	in	ADP
ajst-12256	18	21	ancient	ancient	ADJ
ajst-12256	18	22	structures	structure	NOUN
ajst-12256	18	23	and	and	CCONJ
ajst-12256	18	24	have	have	AUX
ajst-12256	18	25	proven	prove	VERB
ajst-12256	18	26	especially	especially	ADV
ajst-12256	18	27	conducive	conducive	ADJ
ajst-12256	18	28	to	to	ADP
ajst-12256	18	29	inspecting	inspect	VERB
ajst-12256	18	30	these	these	DET
ajst-12256	18	31	buildings	building	NOUN
ajst-12256	18	32	.	.	PUNCT
ajst-12256	19	1	conventional	conventional	ADJ
ajst-12256	19	2	image	image	NOUN
ajst-12256	19	3	processing	processing	NOUN
ajst-12256	19	4	algorithms	algorithm	NOUN
ajst-12256	19	5	fall	fall	VERB
ajst-12256	19	6	short	short	ADV
ajst-12256	19	7	in	in	ADP
ajst-12256	19	8	delivering	deliver	VERB
ajst-12256	19	9	the	the	DET
ajst-12256	19	10	required	require	VERB
ajst-12256	19	11	recognition	recognition	NOUN
ajst-12256	19	12	efficacy	efficacy	NOUN
ajst-12256	19	13	for	for	ADP
ajst-12256	19	14	ancient	ancient	ADJ
ajst-12256	19	15	architectural	architectural	ADJ
ajst-12256	19	16	inspections	inspection	NOUN
ajst-12256	19	17	.	.	PUNCT
ajst-12256	20	1	the	the	DET
ajst-12256	20	2	advent	advent	NOUN
ajst-12256	20	3	of	of	ADP
ajst-12256	20	4	convolutional	convolutional	ADJ
ajst-12256	20	5	neural	neural	ADJ
ajst-12256	20	6	networks	network	NOUN
ajst-12256	20	7	(	(	PUNCT
ajst-12256	20	8	cnns	cnns	PROPN
ajst-12256	20	9	)	)	PUNCT
ajst-12256	20	10	has	have	AUX
ajst-12256	20	11	substantially	substantially	ADV
ajst-12256	20	12	augmented	augment	VERB
ajst-12256	20	13	the	the	DET
ajst-12256	20	14	precision	precision	NOUN
ajst-12256	20	15	of	of	ADP
ajst-12256	20	16	image	image	NOUN
ajst-12256	20	17	recognition[3	recognition[3	NOUN
ajst-12256	20	18	]	]	PUNCT
ajst-12256	20	19	.	.	PUNCT
ajst-12256	21	1	convolutional	convolutional	ADJ
ajst-12256	21	2	neural	neural	ADJ
ajst-12256	21	3	networks	network	NOUN
ajst-12256	21	4	,	,	PUNCT
ajst-12256	21	5	when	when	SCONJ
ajst-12256	21	6	trained	train	VERB
ajst-12256	21	7	on	on	ADP
ajst-12256	21	8	copious	copious	ADJ
ajst-12256	21	9	amounts	amount	NOUN
ajst-12256	21	10	of	of	ADP
ajst-12256	21	11	data	datum	NOUN
ajst-12256	21	12	,	,	PUNCT
ajst-12256	21	13	theoretically	theoretically	ADV
ajst-12256	21	14	display	display	VERB
ajst-12256	21	15	enhanced	enhanced	ADJ
ajst-12256	21	16	learning	learn	VERB
ajst-12256	21	17	outcomes	outcome	NOUN
ajst-12256	21	18	and	and	CCONJ
ajst-12256	21	19	superior	superior	ADJ
ajst-12256	21	20	classification	classification	NOUN
ajst-12256	21	21	performance	performance	NOUN
ajst-12256	21	22	.	.	PUNCT
ajst-12256	22	1	given	give	VERB
ajst-12256	22	2	the	the	DET
ajst-12256	22	3	challenge	challenge	NOUN
ajst-12256	22	4	in	in	ADP
ajst-12256	22	5	procuring	procure	VERB
ajst-12256	22	6	datasets	dataset	NOUN
ajst-12256	22	7	of	of	ADP
ajst-12256	22	8	damages	damage	NOUN
ajst-12256	22	9	in	in	ADP
ajst-12256	22	10	ancient	ancient	ADJ
ajst-12256	22	11	architectures	architecture	NOUN
ajst-12256	22	12	,	,	PUNCT
ajst-12256	22	13	scholars	scholar	NOUN
ajst-12256	22	14	,	,	PUNCT
ajst-12256	22	15	striving	strive	VERB
ajst-12256	22	16	to	to	PART
ajst-12256	22	17	meet	meet	VERB
ajst-12256	22	18	the	the	DET
ajst-12256	22	19	precision	precision	NOUN
ajst-12256	22	20	demands	demand	NOUN
ajst-12256	22	21	for	for	ADP
ajst-12256	22	22	varying	vary	VERB
ajst-12256	22	23	application	application	NOUN
ajst-12256	22	24	scenarios	scenario	NOUN
ajst-12256	22	25	,	,	PUNCT
ajst-12256	22	26	have	have	AUX
ajst-12256	22	27	introduced	introduce	VERB
ajst-12256	22	28	methods	method	NOUN
ajst-12256	22	29	rooted	root	VERB
ajst-12256	22	30	in	in	ADP
ajst-12256	22	31	transfer	transfer	NOUN
ajst-12256	22	32	learning	learn	VERB
ajst-12256	22	33	to	to	PART
ajst-12256	22	34	handle	handle	VERB
ajst-12256	22	35	small	small	ADJ
ajst-12256	22	36	-	-	PUNCT
ajst-12256	22	37	sample	sample	NOUN
ajst-12256	22	38	datasets	dataset	NOUN
ajst-12256	22	39	.	.	PUNCT
ajst-12256	23	1	transfer	transfer	NOUN
ajst-12256	23	2	learning	learning	NOUN
ajst-12256	23	3	,	,	PUNCT
ajst-12256	23	4	a	a	DET
ajst-12256	23	5	subdomain	subdomain	NOUN
ajst-12256	23	6	of	of	ADP
ajst-12256	23	7	machine	machine	NOUN
ajst-12256	23	8	learning	learning	NOUN
ajst-12256	23	9	,	,	PUNCT
ajst-12256	23	10	pivots	pivot	NOUN
ajst-12256	23	11	on	on	ADP
ajst-12256	23	12	the	the	DET
ajst-12256	23	13	central	central	ADJ
ajst-12256	23	14	philosophy	philosophy	NOUN
ajst-12256	23	15	of	of	ADP
ajst-12256	23	16	applying	apply	VERB
ajst-12256	23	17	knowledge	knowledge	NOUN
ajst-12256	23	18	acquired	acquire	VERB
ajst-12256	23	19	from	from	ADP
ajst-12256	23	20	one	one	NUM
ajst-12256	23	21	task	task	NOUN
ajst-12256	23	22	to	to	ADP
ajst-12256	23	23	a	a	DET
ajst-12256	23	24	new	new	ADJ
ajst-12256	23	25	,	,	PUNCT
ajst-12256	23	26	albeit	albeit	SCONJ
ajst-12256	23	27	related	relate	VERB
ajst-12256	23	28	,	,	PUNCT
ajst-12256	23	29	task	task	NOUN
ajst-12256	23	30	,	,	PUNCT
ajst-12256	23	31	which	which	PRON
ajst-12256	23	32	in	in	ADP
ajst-12256	23	33	turn	turn	NOUN
ajst-12256	23	34	expedites	expedite	NOUN
ajst-12256	23	35	and	and	CCONJ
ajst-12256	23	36	refines	refine	VERB
ajst-12256	23	37	the	the	DET
ajst-12256	23	38	learning	learning	NOUN
ajst-12256	23	39	process	process	NOUN
ajst-12256	23	40	for	for	ADP
ajst-12256	23	41	the	the	DET
ajst-12256	23	42	latter	latter	ADJ
ajst-12256	23	43	.	.	PUNCT
ajst-12256	24	1	through	through	ADP
ajst-12256	24	2	this	this	DET
ajst-12256	24	3	methodology	methodology	NOUN
ajst-12256	24	4	,	,	PUNCT
ajst-12256	24	5	one	one	PRON
ajst-12256	24	6	can	can	AUX
ajst-12256	24	7	forgo	forgo	VERB
ajst-12256	24	8	starting	start	VERB
ajst-12256	24	9	model	model	NOUN
ajst-12256	24	10	training	training	NOUN
ajst-12256	24	11	from	from	ADP
ajst-12256	24	12	scratch	scratch	NOUN
ajst-12256	24	13	.	.	PUNCT
ajst-12256	25	1	especially	especially	ADV
ajst-12256	25	2	when	when	SCONJ
ajst-12256	25	3	the	the	DET
ajst-12256	25	4	data	datum	NOUN
ajst-12256	25	5	for	for	ADP
ajst-12256	25	6	the	the	DET
ajst-12256	25	7	new	new	ADJ
ajst-12256	25	8	task	task	NOUN
ajst-12256	25	9	is	be	AUX
ajst-12256	25	10	scant	scant	ADJ
ajst-12256	25	11	,	,	PUNCT
ajst-12256	25	12	transfer	transfer	NOUN
ajst-12256	25	13	learning	learning	NOUN
ajst-12256	25	14	can	can	AUX
ajst-12256	25	15	dramatically	dramatically	ADV
ajst-12256	25	16	boost	boost	VERB
ajst-12256	25	17	the	the	DET
ajst-12256	25	18	learning	learning	NOUN
ajst-12256	25	19	efficiency	efficiency	NOUN
ajst-12256	25	20	and	and	CCONJ
ajst-12256	25	21	the	the	DET
ajst-12256	25	22	resultant	resultant	NOUN
ajst-12256	25	23	model	model	NOUN
ajst-12256	25	24	's	's	PART
ajst-12256	25	25	prowess	prowess	NOUN
ajst-12256	25	26	.	.	PUNCT
ajst-12256	26	1	2	2	X
ajst-12256	26	2	.	.	X
ajst-12256	26	3	convolutional	convolutional	ADJ
ajst-12256	26	4	neural	neural	ADJ
ajst-12256	26	5	network	network	NOUN
ajst-12256	26	6	(	(	PUNCT
ajst-12256	26	7	cnn	cnn	PROPN
ajst-12256	26	8	)	)	PUNCT
ajst-12256	26	9	2.1	2.1	NUM
ajst-12256	26	10	.	.	PUNCT
ajst-12256	26	11	basic	basic	ADJ
ajst-12256	26	12	principles	principle	NOUN
ajst-12256	26	13	of	of	ADP
ajst-12256	26	14	convolutional	convolutional	ADJ
ajst-12256	26	15	neural	neural	ADJ
ajst-12256	26	16	networks	network	NOUN
ajst-12256	26	17	a	a	DET
ajst-12256	26	18	convolutional	convolutional	ADJ
ajst-12256	26	19	neural	neural	ADJ
ajst-12256	26	20	network	network	NOUN
ajst-12256	26	21	(	(	PUNCT
ajst-12256	26	22	cnn	cnn	PROPN
ajst-12256	26	23	)	)	PUNCT
ajst-12256	26	24	is	be	AUX
ajst-12256	26	25	a	a	DET
ajst-12256	26	26	deep	deep	ADJ
ajst-12256	26	27	learning	learning	NOUN
ajst-12256	26	28	architecture	architecture	NOUN
ajst-12256	26	29	that	that	PRON
ajst-12256	26	30	has	have	AUX
ajst-12256	26	31	achieved	achieve	VERB
ajst-12256	26	32	tremendous	tremendous	ADJ
ajst-12256	26	33	success	success	NOUN
ajst-12256	26	34	in	in	ADP
ajst-12256	26	35	the	the	DET
ajst-12256	26	36	fields	field	NOUN
ajst-12256	26	37	of	of	ADP
ajst-12256	26	38	computer	computer	NOUN
ajst-12256	26	39	vision	vision	NOUN
ajst-12256	26	40	and	and	CCONJ
ajst-12256	26	41	image	image	NOUN
ajst-12256	26	42	processing	processing	NOUN
ajst-12256	26	43	.	.	PUNCT
ajst-12256	27	1	a	a	DET
ajst-12256	27	2	typical	typical	ADJ
ajst-12256	27	3	cnn	cnn	PROPN
ajst-12256	27	4	is	be	AUX
ajst-12256	27	5	composed	compose	VERB
ajst-12256	27	6	of	of	ADP
ajst-12256	27	7	an	an	DET
ajst-12256	27	8	input	input	NOUN
ajst-12256	27	9	layer	layer	NOUN
ajst-12256	27	10	,	,	PUNCT
ajst-12256	27	11	hidden	hidden	ADJ
ajst-12256	27	12	layers	layer	NOUN
ajst-12256	27	13	,	,	PUNCT
ajst-12256	27	14	and	and	CCONJ
ajst-12256	27	15	an	an	DET
ajst-12256	27	16	output	output	NOUN
ajst-12256	27	17	layer	layer	NOUN
ajst-12256	27	18	.	.	PUNCT
ajst-12256	28	1	within	within	ADP
ajst-12256	28	2	the	the	DET
ajst-12256	28	3	hidden	hidden	ADJ
ajst-12256	28	4	layers	layer	NOUN
ajst-12256	28	5	,	,	PUNCT
ajst-12256	28	6	there	there	PRON
ajst-12256	28	7	are	be	VERB
ajst-12256	28	8	several	several	ADJ
ajst-12256	28	9	components	component	NOUN
ajst-12256	28	10	,	,	PUNCT
ajst-12256	28	11	including	include	VERB
ajst-12256	28	12	the	the	DET
ajst-12256	28	13	convolutional	convolutional	ADJ
ajst-12256	28	14	layer	layer	NOUN
ajst-12256	28	15	(	(	PUNCT
ajst-12256	28	16	conv	conv	ADJ
ajst-12256	28	17	)	)	PUNCT
ajst-12256	28	18	,	,	PUNCT
ajst-12256	28	19	activation	activation	NOUN
ajst-12256	28	20	functions	function	NOUN
ajst-12256	28	21	,	,	PUNCT
ajst-12256	28	22	pooling	pool	VERB
ajst-12256	28	23	layer	layer	NOUN
ajst-12256	28	24	(	(	PUNCT
ajst-12256	28	25	pool	pool	NOUN
ajst-12256	28	26	)	)	PUNCT
ajst-12256	28	27	,	,	PUNCT
ajst-12256	28	28	and	and	CCONJ
ajst-12256	28	29	the	the	DET
ajst-12256	28	30	fully	fully	ADV
ajst-12256	28	31	connected	connected	ADJ
ajst-12256	28	32	layer	layer	NOUN
ajst-12256	28	33	(	(	PUNCT
ajst-12256	28	34	full	full	ADJ
ajst-12256	28	35	)	)	PUNCT
ajst-12256	28	36	.	.	PUNCT
ajst-12256	29	1	in	in	ADP
ajst-12256	29	2	the	the	DET
ajst-12256	29	3	convolutional	convolutional	ADJ
ajst-12256	29	4	layer	layer	NOUN
ajst-12256	29	5	,	,	PUNCT
ajst-12256	29	6	the	the	DET
ajst-12256	29	7	convolutional	convolutional	ADJ
ajst-12256	29	8	kernels	kernel	NOUN
ajst-12256	29	9	(	(	PUNCT
ajst-12256	29	10	or	or	CCONJ
ajst-12256	29	11	filters	filter	NOUN
ajst-12256	29	12	)	)	PUNCT
ajst-12256	29	13	are	be	AUX
ajst-12256	29	14	responsible	responsible	ADJ
ajst-12256	29	15	for	for	ADP
ajst-12256	29	16	capturing	capture	VERB
ajst-12256	29	17	the	the	DET
ajst-12256	29	18	local	local	ADJ
ajst-12256	29	19	features	feature	NOUN
ajst-12256	29	20	of	of	ADP
ajst-12256	29	21	an	an	DET
ajst-12256	29	22	image	image	NOUN
ajst-12256	29	23	.	.	PUNCT
ajst-12256	30	1	interestingly	interestingly	ADV
ajst-12256	30	2	,	,	PUNCT
ajst-12256	30	3	the	the	DET
ajst-12256	30	4	weights	weight	NOUN
ajst-12256	30	5	of	of	ADP
ajst-12256	30	6	these	these	DET
ajst-12256	30	7	kernels	kernel	NOUN
ajst-12256	30	8	are	be	AUX
ajst-12256	30	9	shared	share	VERB
ajst-12256	30	10	across	across	ADP
ajst-12256	30	11	different	different	ADJ
ajst-12256	30	12	regions	region	NOUN
ajst-12256	30	13	of	of	ADP
ajst-12256	30	14	the	the	DET
ajst-12256	30	15	image	image	NOUN
ajst-12256	30	16	.	.	PUNCT
ajst-12256	31	1	a	a	DET
ajst-12256	31	2	single	single	ADJ
ajst-12256	31	3	convolutional	convolutional	ADJ
ajst-12256	31	4	kernel	kernel	NOUN
ajst-12256	31	5	is	be	AUX
ajst-12256	31	6	adept	adept	ADJ
ajst-12256	31	7	at	at	ADP
ajst-12256	31	8	extracting	extract	VERB
ajst-12256	31	9	a	a	DET
ajst-12256	31	10	specific	specific	ADJ
ajst-12256	31	11	feature	feature	NOUN
ajst-12256	31	12	from	from	ADP
ajst-12256	31	13	the	the	DET
ajst-12256	31	14	input	input	NOUN
ajst-12256	31	15	image	image	NOUN
ajst-12256	31	16	.	.	PUNCT
ajst-12256	32	1	in	in	ADP
ajst-12256	32	2	contrast	contrast	NOUN
ajst-12256	32	3	,	,	PUNCT
ajst-12256	32	4	multiple	multiple	ADJ
ajst-12256	32	5	distinct	distinct	ADJ
ajst-12256	32	6	kernels	kernel	NOUN
ajst-12256	32	7	can	can	AUX
ajst-12256	32	8	collectively	collectively	ADV
ajst-12256	32	9	capture	capture	VERB
ajst-12256	32	10	a	a	DET
ajst-12256	32	11	wide	wide	ADJ
ajst-12256	32	12	range	range	NOUN
ajst-12256	32	13	of	of	ADP
ajst-12256	32	14	features	feature	NOUN
ajst-12256	32	15	present	present	ADJ
ajst-12256	32	16	in	in	ADP
ajst-12256	32	17	an	an	DET
ajst-12256	32	18	image	image	NOUN
ajst-12256	32	19	.	.	PUNCT
ajst-12256	33	1	the	the	DET
ajst-12256	33	2	computational	computational	ADJ
ajst-12256	33	3	formula	formula	NOUN
ajst-12256	33	4	for	for	ADP
ajst-12256	33	5	the	the	DET
ajst-12256	33	6	convolutional	convolutional	ADJ
ajst-12256	33	7	layer	layer	NOUN
ajst-12256	33	8	is	be	AUX
ajst-12256	33	9	:	:	PUNCT
ajst-12256	33	10	o(i	o(i	PROPN
ajst-12256	33	11	,	,	PUNCT
ajst-12256	33	12	j)=	j)=	NOUN
ajst-12256	33	13	f-1	f-1	PROPN
ajst-12256	33	14	m=0	m=0	PROPN
ajst-12256	33	15	f-1	f-1	PROPN
ajst-12256	33	16	n=0	n=0	PUNCT
ajst-12256	33	17	i(i⋅s+m	i(i⋅s+m	NOUN
ajst-12256	33	18	,	,	PUNCT
ajst-12256	33	19	j⋅s+n)⋅k(m	j⋅s+n)⋅k(m	PROPN
ajst-12256	33	20	,	,	PUNCT
ajst-12256	33	21	n)+b	n)+b	PROPN
ajst-12256	33	22	149	149	NUM
ajst-12256	33	23	among	among	ADP
ajst-12256	33	24	them	they	PRON
ajst-12256	33	25	:	:	PUNCT
ajst-12256	33	26	o(i	o(i	PROPN
ajst-12256	33	27	,	,	PUNCT
ajst-12256	33	28	j	j	PROPN
ajst-12256	33	29	)	)	PUNCT
ajst-12256	33	30	is	be	AUX
ajst-12256	33	31	the	the	DET
ajst-12256	33	32	element	element	NOUN
ajst-12256	33	33	of	of	ADP
ajst-12256	33	34	the	the	DET
ajst-12256	33	35	output	output	NOUN
ajst-12256	33	36	feature	feature	NOUN
ajst-12256	33	37	map	map	NOUN
ajst-12256	33	38	,	,	PUNCT
ajst-12256	33	39	i(i⋅s+m	i(i⋅s+m	NOUN
ajst-12256	33	40	,	,	PUNCT
ajst-12256	33	41	j⋅s+n	j⋅s+n	PROPN
ajst-12256	33	42	)	)	PUNCT
ajst-12256	33	43	is	be	AUX
ajst-12256	33	44	the	the	DET
ajst-12256	33	45	element	element	NOUN
ajst-12256	33	46	of	of	ADP
ajst-12256	33	47	the	the	DET
ajst-12256	33	48	input	input	NOUN
ajst-12256	33	49	feature	feature	NOUN
ajst-12256	33	50	map	map	NOUN
ajst-12256	33	51	,	,	PUNCT
ajst-12256	33	52	k(m	k(m	PROPN
ajst-12256	33	53	,	,	PUNCT
ajst-12256	33	54	n	n	CCONJ
ajst-12256	33	55	)	)	PUNCT
ajst-12256	33	56	is	be	AUX
ajst-12256	33	57	the	the	DET
ajst-12256	33	58	weight	weight	NOUN
ajst-12256	33	59	of	of	ADP
ajst-12256	33	60	the	the	DET
ajst-12256	33	61	convolutional	convolutional	ADJ
ajst-12256	33	62	kernel	kernel	NOUN
ajst-12256	33	63	,	,	PUNCT
ajst-12256	33	64	and	and	CCONJ
ajst-12256	33	65	b	b	X
ajst-12256	33	66	is	be	AUX
ajst-12256	33	67	the	the	DET
ajst-12256	33	68	bias	bias	NOUN
ajst-12256	33	69	term	term	NOUN
ajst-12256	33	70	.	.	PUNCT
ajst-12256	34	1	since	since	SCONJ
ajst-12256	34	2	both	both	CCONJ
ajst-12256	34	3	the	the	DET
ajst-12256	34	4	convolutional	convolutional	ADJ
ajst-12256	34	5	layer	layer	NOUN
ajst-12256	34	6	and	and	CCONJ
ajst-12256	34	7	the	the	DET
ajst-12256	34	8	fully	fully	ADV
ajst-12256	34	9	connected	connected	ADJ
ajst-12256	34	10	layer	layer	NOUN
ajst-12256	34	11	are	be	AUX
ajst-12256	34	12	linear	linear	ADJ
ajst-12256	34	13	operations	operation	NOUN
ajst-12256	34	14	,	,	PUNCT
ajst-12256	34	15	without	without	ADP
ajst-12256	34	16	an	an	DET
ajst-12256	34	17	activation	activation	NOUN
ajst-12256	34	18	function	function	NOUN
ajst-12256	34	19	,	,	PUNCT
ajst-12256	34	20	no	no	ADV
ajst-12256	34	21	matter	matter	ADV
ajst-12256	34	22	how	how	SCONJ
ajst-12256	34	23	many	many	ADJ
ajst-12256	34	24	layers	layer	NOUN
ajst-12256	34	25	the	the	DET
ajst-12256	34	26	neural	neural	ADJ
ajst-12256	34	27	network	network	NOUN
ajst-12256	34	28	has	have	VERB
ajst-12256	34	29	,	,	PUNCT
ajst-12256	34	30	it	it	PRON
ajst-12256	34	31	can	can	AUX
ajst-12256	34	32	only	only	ADV
ajst-12256	34	33	represent	represent	VERB
ajst-12256	34	34	linear	linear	ADJ
ajst-12256	34	35	transformations	transformation	NOUN
ajst-12256	34	36	.	.	PUNCT
ajst-12256	35	1	this	this	PRON
ajst-12256	35	2	significantly	significantly	ADV
ajst-12256	35	3	limits	limit	VERB
ajst-12256	35	4	the	the	DET
ajst-12256	35	5	expressive	expressive	ADJ
ajst-12256	35	6	capability	capability	NOUN
ajst-12256	35	7	of	of	ADP
ajst-12256	35	8	the	the	DET
ajst-12256	35	9	network	network	NOUN
ajst-12256	35	10	.	.	PUNCT
ajst-12256	36	1	by	by	ADP
ajst-12256	36	2	introducing	introduce	VERB
ajst-12256	36	3	nonlinear	nonlinear	ADJ
ajst-12256	36	4	activation	activation	NOUN
ajst-12256	36	5	functions	function	NOUN
ajst-12256	36	6	,	,	PUNCT
ajst-12256	36	7	the	the	DET
ajst-12256	36	8	network	network	NOUN
ajst-12256	36	9	can	can	AUX
ajst-12256	36	10	learn	learn	VERB
ajst-12256	36	11	and	and	CCONJ
ajst-12256	36	12	represent	represent	VERB
ajst-12256	36	13	more	more	ADJ
ajst-12256	36	14	complex	complex	ADJ
ajst-12256	36	15	non	non	ADJ
ajst-12256	36	16	-	-	ADJ
ajst-12256	36	17	linear	linear	ADJ
ajst-12256	36	18	mappings	mapping	NOUN
ajst-12256	36	19	.	.	PUNCT
ajst-12256	37	1	the	the	DET
ajst-12256	37	2	activation	activation	NOUN
ajst-12256	37	3	layers	layer	VERB
ajst-12256	37	4	in	in	ADP
ajst-12256	37	5	a	a	DET
ajst-12256	37	6	convolutional	convolutional	ADJ
ajst-12256	37	7	neural	neural	ADJ
ajst-12256	37	8	network	network	NOUN
ajst-12256	37	9	(	(	PUNCT
ajst-12256	37	10	cnn	cnn	PROPN
ajst-12256	37	11	)	)	PUNCT
ajst-12256	37	12	play	play	VERB
ajst-12256	37	13	a	a	DET
ajst-12256	37	14	crucial	crucial	ADJ
ajst-12256	37	15	role	role	NOUN
ajst-12256	37	16	in	in	ADP
ajst-12256	37	17	this	this	DET
ajst-12256	37	18	aspect	aspect	NOUN
ajst-12256	37	19	.	.	PUNCT
ajst-12256	38	1	they	they	PRON
ajst-12256	38	2	typically	typically	ADV
ajst-12256	38	3	involve	involve	VERB
ajst-12256	38	4	a	a	DET
ajst-12256	38	5	non	non	ADJ
ajst-12256	38	6	-	-	ADJ
ajst-12256	38	7	linear	linear	ADJ
ajst-12256	38	8	activation	activation	NOUN
ajst-12256	38	9	function	function	NOUN
ajst-12256	38	10	,	,	PUNCT
ajst-12256	38	11	such	such	ADJ
ajst-12256	38	12	as	as	ADP
ajst-12256	38	13	relu	relu	NOUN
ajst-12256	38	14	,	,	PUNCT
ajst-12256	38	15	tanh	tanh	NOUN
ajst-12256	38	16	,	,	PUNCT
ajst-12256	38	17	or	or	CCONJ
ajst-12256	38	18	sigmoid	sigmoid	NOUN
ajst-12256	38	19	,	,	PUNCT
ajst-12256	38	20	among	among	ADP
ajst-12256	38	21	others	other	NOUN
ajst-12256	38	22	.	.	PUNCT
ajst-12256	39	1	the	the	DET
ajst-12256	39	2	pooling	pool	VERB
ajst-12256	39	3	layer	layer	NOUN
ajst-12256	39	4	,	,	PUNCT
ajst-12256	39	5	also	also	ADV
ajst-12256	39	6	known	know	VERB
ajst-12256	39	7	as	as	ADP
ajst-12256	39	8	the	the	DET
ajst-12256	39	9	subsampling	subsample	VERB
ajst-12256	39	10	layer	layer	NOUN
ajst-12256	39	11	,	,	PUNCT
ajst-12256	39	12	is	be	AUX
ajst-12256	39	13	introduced	introduce	VERB
ajst-12256	39	14	because	because	SCONJ
ajst-12256	39	15	the	the	DET
ajst-12256	39	16	size	size	NOUN
ajst-12256	39	17	of	of	ADP
ajst-12256	39	18	input	input	NOUN
ajst-12256	39	19	images	image	NOUN
ajst-12256	39	20	is	be	AUX
ajst-12256	39	21	typically	typically	ADV
ajst-12256	39	22	large	large	ADJ
ajst-12256	39	23	,	,	PUNCT
ajst-12256	39	24	and	and	CCONJ
ajst-12256	39	25	the	the	DET
ajst-12256	39	26	feature	feature	NOUN
ajst-12256	39	27	maps	map	NOUN
ajst-12256	39	28	obtained	obtain	VERB
ajst-12256	39	29	through	through	ADP
ajst-12256	39	30	convolution	convolution	NOUN
ajst-12256	39	31	operations	operation	NOUN
ajst-12256	39	32	might	might	AUX
ajst-12256	39	33	also	also	ADV
ajst-12256	39	34	be	be	AUX
ajst-12256	39	35	extensive	extensive	ADJ
ajst-12256	39	36	,	,	PUNCT
ajst-12256	39	37	leading	lead	VERB
ajst-12256	39	38	to	to	ADP
ajst-12256	39	39	an	an	DET
ajst-12256	39	40	increased	increase	VERB
ajst-12256	39	41	computational	computational	ADJ
ajst-12256	39	42	complexity	complexity	NOUN
ajst-12256	39	43	.	.	PUNCT
ajst-12256	40	1	the	the	DET
ajst-12256	40	2	primary	primary	ADJ
ajst-12256	40	3	purpose	purpose	NOUN
ajst-12256	40	4	of	of	ADP
ajst-12256	40	5	the	the	DET
ajst-12256	40	6	pooling	pooling	NOUN
ajst-12256	40	7	layer	layer	NOUN
ajst-12256	40	8	is	be	AUX
ajst-12256	40	9	to	to	PART
ajst-12256	40	10	reduce	reduce	VERB
ajst-12256	40	11	the	the	DET
ajst-12256	40	12	size	size	NOUN
ajst-12256	40	13	of	of	ADP
ajst-12256	40	14	the	the	DET
ajst-12256	40	15	feature	feature	NOUN
ajst-12256	40	16	maps	map	NOUN
ajst-12256	40	17	,	,	PUNCT
ajst-12256	40	18	thus	thus	ADV
ajst-12256	40	19	decreasing	decrease	VERB
ajst-12256	40	20	the	the	DET
ajst-12256	40	21	computational	computational	ADJ
ajst-12256	40	22	demands	demand	NOUN
ajst-12256	40	23	and	and	CCONJ
ajst-12256	40	24	the	the	DET
ajst-12256	40	25	number	number	NOUN
ajst-12256	40	26	of	of	ADP
ajst-12256	40	27	parameters	parameter	NOUN
ajst-12256	40	28	in	in	ADP
ajst-12256	40	29	the	the	DET
ajst-12256	40	30	network	network	NOUN
ajst-12256	40	31	.	.	PUNCT
ajst-12256	41	1	fewer	few	ADJ
ajst-12256	41	2	parameters	parameter	NOUN
ajst-12256	41	3	mean	mean	VERB
ajst-12256	41	4	that	that	SCONJ
ajst-12256	41	5	less	less	ADJ
ajst-12256	41	6	training	training	NOUN
ajst-12256	41	7	data	datum	NOUN
ajst-12256	41	8	is	be	AUX
ajst-12256	41	9	required	require	VERB
ajst-12256	41	10	to	to	PART
ajst-12256	41	11	train	train	VERB
ajst-12256	41	12	the	the	DET
ajst-12256	41	13	network	network	NOUN
ajst-12256	41	14	,	,	PUNCT
ajst-12256	41	15	simplifying	simplify	VERB
ajst-12256	41	16	the	the	DET
ajst-12256	41	17	training	training	NOUN
ajst-12256	41	18	process	process	NOUN
ajst-12256	41	19	.	.	PUNCT
ajst-12256	42	1	this	this	PRON
ajst-12256	42	2	helps	help	VERB
ajst-12256	42	3	prevent	prevent	VERB
ajst-12256	42	4	overfitting	overfitting	NOUN
ajst-12256	42	5	,	,	PUNCT
ajst-12256	42	6	enhancing	enhance	VERB
ajst-12256	42	7	the	the	DET
ajst-12256	42	8	model	model	NOUN
ajst-12256	42	9	's	's	PART
ajst-12256	42	10	generalization	generalization	NOUN
ajst-12256	42	11	capability	capability	NOUN
ajst-12256	42	12	and	and	CCONJ
ajst-12256	42	13	increasing	increase	VERB
ajst-12256	42	14	its	its	PRON
ajst-12256	42	15	robustness	robustness	NOUN
ajst-12256	42	16	.	.	PUNCT
ajst-12256	43	1	in	in	ADP
ajst-12256	43	2	pooling	pool	VERB
ajst-12256	43	3	operations	operation	NOUN
ajst-12256	43	4	,	,	PUNCT
ajst-12256	43	5	commonly	commonly	ADV
ajst-12256	43	6	used	use	VERB
ajst-12256	43	7	methods	method	NOUN
ajst-12256	43	8	include	include	VERB
ajst-12256	43	9	max	max	PROPN
ajst-12256	43	10	pooling	pooling	NOUN
ajst-12256	43	11	and	and	CCONJ
ajst-12256	43	12	average	average	ADJ
ajst-12256	43	13	pooling	pooling	NOUN
ajst-12256	43	14	.	.	PUNCT
ajst-12256	44	1	if	if	SCONJ
ajst-12256	44	2	the	the	DET
ajst-12256	44	3	max	max	PROPN
ajst-12256	44	4	pooling	pool	VERB
ajst-12256	44	5	function	function	NOUN
ajst-12256	44	6	is	be	AUX
ajst-12256	44	7	utilized	utilize	VERB
ajst-12256	44	8	,	,	PUNCT
ajst-12256	44	9	the	the	DET
ajst-12256	44	10	computation	computation	NOUN
ajst-12256	44	11	formula	formula	NOUN
ajst-12256	44	12	for	for	ADP
ajst-12256	44	13	the	the	DET
ajst-12256	44	14	pooling	pooling	NOUN
ajst-12256	44	15	layer	layer	NOUN
ajst-12256	44	16	is	be	AUX
ajst-12256	44	17	:	:	PUNCT
ajst-12256	44	18	p	p	VERB
ajst-12256	44	19	pool	pool	NOUN
ajst-12256	44	20	=	=	NOUN
ajst-12256	44	21	max(s	max(s	PROPN
ajst-12256	44	22	i	i	PRON
ajst-12256	44	23	,	,	PUNCT
ajst-12256	44	24	j	j	PROPN
ajst-12256	44	25	,	,	PUNCT
ajst-12256	44	26	s	s	PART
ajst-12256	44	27	i+1,j	i+1,j	NOUN
ajst-12256	44	28	,	,	PUNCT
ajst-12256	44	29	s	s	VERB
ajst-12256	44	30	i	i	PROPN
ajst-12256	44	31	,	,	PUNCT
ajst-12256	44	32	j+1	j+1	PROPN
ajst-12256	44	33	,	,	PUNCT
ajst-12256	44	34	s	s	NOUN
ajst-12256	44	35	i+1,j+1	i+1,j+1	NOUN
ajst-12256	44	36	)	)	PUNCT
ajst-12256	44	37	among	among	ADP
ajst-12256	44	38	them	they	PRON
ajst-12256	44	39	:	:	PUNCT
ajst-12256	44	40	p	p	NOUN
ajst-12256	44	41	pool	pool	NOUN
ajst-12256	44	42	is	be	AUX
ajst-12256	44	43	the	the	DET
ajst-12256	44	44	result	result	NOUN
ajst-12256	44	45	of	of	ADP
ajst-12256	44	46	pooling	pool	VERB
ajst-12256	44	47	,	,	PUNCT
ajst-12256	44	48	s	s	VERB
ajst-12256	44	49	i	i	PROPN
ajst-12256	44	50	,	,	PUNCT
ajst-12256	44	51	j	j	PROPN
ajst-12256	44	52	is	be	AUX
ajst-12256	44	53	a	a	DET
ajst-12256	44	54	positional	positional	ADJ
ajst-12256	44	55	element	element	NOUN
ajst-12256	44	56	on	on	ADP
ajst-12256	44	57	the	the	DET
ajst-12256	44	58	tensor	tensor	NOUN
ajst-12256	44	59	of	of	ADP
ajst-12256	44	60	the	the	DET
ajst-12256	44	61	feature	feature	NOUN
ajst-12256	44	62	map	map	NOUN
ajst-12256	44	63	.	.	PUNCT
ajst-12256	45	1	the	the	DET
ajst-12256	45	2	fully	fully	ADV
ajst-12256	45	3	connected	connect	VERB
ajst-12256	45	4	layer	layer	NOUN
ajst-12256	45	5	acts	act	VERB
ajst-12256	45	6	as	as	ADP
ajst-12256	45	7	a	a	DET
ajst-12256	45	8	bridge	bridge	NOUN
ajst-12256	45	9	within	within	ADP
ajst-12256	45	10	the	the	DET
ajst-12256	45	11	convolutional	convolutional	ADJ
ajst-12256	45	12	neural	neural	ADJ
ajst-12256	45	13	network	network	NOUN
ajst-12256	45	14	.	.	PUNCT
ajst-12256	46	1	it	it	PRON
ajst-12256	46	2	receives	receive	VERB
ajst-12256	46	3	the	the	DET
ajst-12256	46	4	highdimensional	highdimensional	ADJ
ajst-12256	46	5	features	feature	NOUN
ajst-12256	46	6	extracted	extract	VERB
ajst-12256	46	7	from	from	ADP
ajst-12256	46	8	the	the	DET
ajst-12256	46	9	convolutional	convolutional	ADJ
ajst-12256	46	10	and	and	CCONJ
ajst-12256	46	11	pooling	pool	VERB
ajst-12256	46	12	layers	layer	NOUN
ajst-12256	46	13	and	and	CCONJ
ajst-12256	46	14	further	far	ADV
ajst-12256	46	15	processes	process	VERB
ajst-12256	46	16	them	they	PRON
ajst-12256	46	17	through	through	ADP
ajst-12256	46	18	dimensionality	dimensionality	NOUN
ajst-12256	46	19	reduction	reduction	NOUN
ajst-12256	46	20	and	and	CCONJ
ajst-12256	46	21	non	non	ADJ
ajst-12256	46	22	-	-	ADJ
ajst-12256	46	23	linear	linear	ADJ
ajst-12256	46	24	transformations	transformation	NOUN
ajst-12256	46	25	.	.	PUNCT
ajst-12256	47	1	this	this	DET
ajst-12256	47	2	transformation	transformation	NOUN
ajst-12256	47	3	enhances	enhance	VERB
ajst-12256	47	4	the	the	DET
ajst-12256	47	5	network	network	NOUN
ajst-12256	47	6	's	's	PART
ajst-12256	47	7	expressive	expressive	ADJ
ajst-12256	47	8	power	power	NOUN
ajst-12256	47	9	,	,	PUNCT
ajst-12256	47	10	allowing	allow	VERB
ajst-12256	47	11	it	it	PRON
ajst-12256	47	12	to	to	PART
ajst-12256	47	13	capture	capture	VERB
ajst-12256	47	14	complex	complex	ADJ
ajst-12256	47	15	patterns	pattern	NOUN
ajst-12256	47	16	more	more	ADV
ajst-12256	47	17	effectively	effectively	ADV
ajst-12256	47	18	.	.	PUNCT
ajst-12256	48	1	after	after	ADP
ajst-12256	48	2	processing	process	VERB
ajst-12256	48	3	through	through	ADP
ajst-12256	48	4	the	the	DET
ajst-12256	48	5	fully	fully	ADV
ajst-12256	48	6	connected	connect	VERB
ajst-12256	48	7	layer	layer	NOUN
ajst-12256	48	8	,	,	PUNCT
ajst-12256	48	9	the	the	DET
ajst-12256	48	10	network	network	NOUN
ajst-12256	48	11	can	can	AUX
ajst-12256	48	12	make	make	VERB
ajst-12256	48	13	precise	precise	ADJ
ajst-12256	48	14	categorical	categorical	ADJ
ajst-12256	48	15	judgments	judgment	NOUN
ajst-12256	48	16	on	on	ADP
ajst-12256	48	17	the	the	DET
ajst-12256	48	18	input	input	NOUN
ajst-12256	48	19	data	datum	NOUN
ajst-12256	48	20	,	,	PUNCT
ajst-12256	48	21	thus	thus	ADV
ajst-12256	48	22	accomplishing	accomplish	VERB
ajst-12256	48	23	classification	classification	NOUN
ajst-12256	48	24	tasks	task	NOUN
ajst-12256	48	25	.	.	PUNCT
ajst-12256	49	1	2.2	2.2	NUM
ajst-12256	49	2	.	.	PUNCT
ajst-12256	50	1	building	build	VERB
ajst-12256	50	2	convolutional	convolutional	ADJ
ajst-12256	50	3	neural	neural	ADJ
ajst-12256	50	4	network	network	NOUN
ajst-12256	50	5	models	model	NOUN
ajst-12256	50	6	based	base	VERB
ajst-12256	50	7	on	on	ADP
ajst-12256	50	8	transfer	transfer	NOUN
ajst-12256	50	9	learning	learning	NOUN
ajst-12256	50	10	.	.	PUNCT
ajst-12256	51	1	figure	figure	NOUN
ajst-12256	51	2	1	1	NUM
ajst-12256	51	3	.	.	PUNCT
ajst-12256	52	1	structure	structure	NOUN
ajst-12256	52	2	of	of	ADP
ajst-12256	52	3	alexnet	alexnet	NOUN
ajst-12256	52	4	.	.	PUNCT
ajst-12256	53	1	alexnet	alexnet	NOUN
ajst-12256	53	2	is	be	AUX
ajst-12256	53	3	a	a	DET
ajst-12256	53	4	deep	deep	ADJ
ajst-12256	53	5	convolutional	convolutional	ADJ
ajst-12256	53	6	neural	neural	ADJ
ajst-12256	53	7	network	network	NOUN
ajst-12256	53	8	(	(	PUNCT
ajst-12256	53	9	cnn	cnn	PROPN
ajst-12256	53	10	)	)	PUNCT
ajst-12256	53	11	architecture	architecture	NOUN
ajst-12256	53	12	that	that	PRON
ajst-12256	53	13	was	be	AUX
ajst-12256	53	14	proposed	propose	VERB
ajst-12256	53	15	by	by	ADP
ajst-12256	53	16	alex	alex	PROPN
ajst-12256	53	17	krizhevsky	krizhevsky	PROPN
ajst-12256	53	18	,	,	PUNCT
ajst-12256	53	19	ilya	ilya	PROPN
ajst-12256	53	20	sutskever	sutskever	VERB
ajst-12256	53	21	,	,	PUNCT
ajst-12256	53	22	and	and	CCONJ
ajst-12256	53	23	geoffrey	geoffrey	PROPN
ajst-12256	53	24	hinton	hinton	PROPN
ajst-12256	53	25	in	in	ADP
ajst-12256	53	26	2012	2012	NUM
ajst-12256	53	27	.	.	PUNCT
ajst-12256	54	1	it	it	PRON
ajst-12256	54	2	became	become	VERB
ajst-12256	54	3	renowned	renowned	ADJ
ajst-12256	54	4	after	after	ADP
ajst-12256	54	5	winning	win	VERB
ajst-12256	54	6	the	the	DET
ajst-12256	54	7	2012	2012	NUM
ajst-12256	54	8	imagenet	imagenet	NOUN
ajst-12256	54	9	large	large	ADJ
ajst-12256	54	10	scale	scale	NOUN
ajst-12256	54	11	visual	visual	ADJ
ajst-12256	54	12	recognition	recognition	NOUN
ajst-12256	54	13	challenge	challenge	NOUN
ajst-12256	54	14	(	(	PUNCT
ajst-12256	54	15	ilsvrc	ilsvrc	PROPN
ajst-12256	54	16	)	)	PUNCT
ajst-12256	54	17	by	by	ADP
ajst-12256	54	18	a	a	DET
ajst-12256	54	19	significant	significant	ADJ
ajst-12256	54	20	margin	margin	NOUN
ajst-12256	54	21	.	.	PUNCT
ajst-12256	55	1	this	this	DET
ajst-12256	55	2	victory	victory	NOUN
ajst-12256	55	3	played	play	VERB
ajst-12256	55	4	a	a	DET
ajst-12256	55	5	pivotal	pivotal	ADJ
ajst-12256	55	6	role	role	NOUN
ajst-12256	55	7	in	in	ADP
ajst-12256	55	8	sparking	spark	VERB
ajst-12256	55	9	interest	interest	NOUN
ajst-12256	55	10	in	in	ADP
ajst-12256	55	11	deep	deep	ADJ
ajst-12256	55	12	learning	learning	NOUN
ajst-12256	55	13	and	and	CCONJ
ajst-12256	55	14	cnns	cnn	NOUN
ajst-12256	55	15	within	within	ADP
ajst-12256	55	16	the	the	DET
ajst-12256	55	17	broader	broad	ADJ
ajst-12256	55	18	machine	machine	NOUN
ajst-12256	55	19	learning	learning	NOUN
ajst-12256	55	20	and	and	CCONJ
ajst-12256	55	21	computer	computer	NOUN
ajst-12256	55	22	vision	vision	NOUN
ajst-12256	55	23	communities	community	NOUN
ajst-12256	55	24	.	.	PUNCT
ajst-12256	56	1	as	as	SCONJ
ajst-12256	56	2	the	the	DET
ajst-12256	56	3	field	field	NOUN
ajst-12256	56	4	of	of	ADP
ajst-12256	56	5	machine	machine	NOUN
ajst-12256	56	6	learning	learning	NOUN
ajst-12256	56	7	progresses	progress	NOUN
ajst-12256	56	8	,	,	PUNCT
ajst-12256	56	9	there	there	PRON
ajst-12256	56	10	's	be	VERB
ajst-12256	56	11	growing	grow	VERB
ajst-12256	56	12	interest	interest	NOUN
ajst-12256	56	13	in	in	ADP
ajst-12256	56	14	how	how	SCONJ
ajst-12256	56	15	knowledge	knowledge	NOUN
ajst-12256	56	16	acquired	acquire	VERB
ajst-12256	56	17	in	in	ADP
ajst-12256	56	18	one	one	NUM
ajst-12256	56	19	domain	domain	NOUN
ajst-12256	56	20	can	can	AUX
ajst-12256	56	21	be	be	AUX
ajst-12256	56	22	transferred	transfer	VERB
ajst-12256	56	23	to	to	ADP
ajst-12256	56	24	another	another	DET
ajst-12256	56	25	relevant	relevant	ADJ
ajst-12256	56	26	domain	domain	NOUN
ajst-12256	56	27	.	.	PUNCT
ajst-12256	57	1	this	this	PRON
ajst-12256	57	2	has	have	AUX
ajst-12256	57	3	led	lead	VERB
ajst-12256	57	4	to	to	ADP
ajst-12256	57	5	the	the	DET
ajst-12256	57	6	study	study	NOUN
ajst-12256	57	7	of	of	ADP
ajst-12256	57	8	domain	domain	NOUN
ajst-12256	57	9	adaptation	adaptation	NOUN
ajst-12256	57	10	,	,	PUNCT
ajst-12256	57	11	with	with	ADP
ajst-12256	57	12	the	the	DET
ajst-12256	57	13	goal	goal	NOUN
ajst-12256	57	14	of	of	ADP
ajst-12256	57	15	adapting	adapt	VERB
ajst-12256	57	16	models	model	NOUN
ajst-12256	57	17	between	between	ADP
ajst-12256	57	18	different	different	ADJ
ajst-12256	57	19	domains	domain	NOUN
ajst-12256	57	20	.	.	PUNCT
ajst-12256	58	1	for	for	ADP
ajst-12256	58	2	instance	instance	NOUN
ajst-12256	58	3	,	,	PUNCT
ajst-12256	58	4	adapting	adapt	VERB
ajst-12256	58	5	a	a	DET
ajst-12256	58	6	model	model	NOUN
ajst-12256	58	7	trained	train	VERB
ajst-12256	58	8	for	for	ADP
ajst-12256	58	9	digit	digit	NOUN
ajst-12256	58	10	recognition	recognition	NOUN
ajst-12256	58	11	to	to	PART
ajst-12256	58	12	recognize	recognize	VERB
ajst-12256	58	13	handwritten	handwritten	ADJ
ajst-12256	58	14	fonts	font	NOUN
ajst-12256	58	15	.	.	PUNCT
ajst-12256	59	1	with	with	ADP
ajst-12256	59	2	the	the	DET
ajst-12256	59	3	emergence	emergence	NOUN
ajst-12256	59	4	of	of	ADP
ajst-12256	59	5	deep	deep	ADJ
ajst-12256	59	6	learning	learning	NOUN
ajst-12256	59	7	,	,	PUNCT
ajst-12256	59	8	transfer	transfer	NOUN
ajst-12256	59	9	learning	learning	NOUN
ajst-12256	59	10	has	have	AUX
ajst-12256	59	11	increasingly	increasingly	ADV
ajst-12256	59	12	become	become	VERB
ajst-12256	59	13	a	a	DET
ajst-12256	59	14	focal	focal	ADJ
ajst-12256	59	15	point	point	NOUN
ajst-12256	59	16	of	of	ADP
ajst-12256	59	17	research	research	NOUN
ajst-12256	59	18	.	.	PUNCT
ajst-12256	60	1	the	the	DET
ajst-12256	60	2	advent	advent	NOUN
ajst-12256	60	3	of	of	ADP
ajst-12256	60	4	deep	deep	ADJ
ajst-12256	60	5	neural	neural	ADJ
ajst-12256	60	6	networks	network	NOUN
ajst-12256	60	7	has	have	AUX
ajst-12256	60	8	made	make	VERB
ajst-12256	60	9	model	model	NOUN
ajst-12256	60	10	transfer	transfer	NOUN
ajst-12256	60	11	more	more	ADV
ajst-12256	60	12	flexible	flexible	ADJ
ajst-12256	60	13	and	and	CCONJ
ajst-12256	60	14	effective	effective	ADJ
ajst-12256	60	15	.	.	PUNCT
ajst-12256	61	1	transfer	transfer	NOUN
ajst-12256	61	2	learning	learning	NOUN
ajst-12256	61	3	is	be	AUX
ajst-12256	61	4	not	not	PART
ajst-12256	61	5	limited	limit	VERB
ajst-12256	61	6	to	to	ADP
ajst-12256	61	7	domain	domain	NOUN
ajst-12256	61	8	adaptation	adaptation	NOUN
ajst-12256	61	9	;	;	PUNCT
ajst-12256	61	10	it	it	PRON
ajst-12256	61	11	encompasses	encompass	VERB
ajst-12256	61	12	various	various	ADJ
ajst-12256	61	13	forms	form	NOUN
ajst-12256	61	14	of	of	ADP
ajst-12256	61	15	knowledge	knowledge	NOUN
ajst-12256	61	16	transfer	transfer	NOUN
ajst-12256	61	17	,	,	PUNCT
ajst-12256	61	18	such	such	ADJ
ajst-12256	61	19	as	as	ADP
ajst-12256	61	20	feature	feature	NOUN
ajst-12256	61	21	extraction	extraction	NOUN
ajst-12256	61	22	and	and	CCONJ
ajst-12256	61	23	parameter	parameter	NOUN
ajst-12256	61	24	fine	fine	ADV
ajst-12256	61	25	-	-	PUNCT
ajst-12256	61	26	tuning	tuning	NOUN
ajst-12256	61	27	.	.	PUNCT
ajst-12256	62	1	transfer	transfer	NOUN
ajst-12256	62	2	learning	learning	NOUN
ajst-12256	62	3	has	have	AUX
ajst-12256	62	4	found	find	VERB
ajst-12256	62	5	extensive	extensive	ADJ
ajst-12256	62	6	applications	application	NOUN
ajst-12256	62	7	across	across	ADP
ajst-12256	62	8	various	various	ADJ
ajst-12256	62	9	sectors	sector	NOUN
ajst-12256	62	10	,	,	PUNCT
ajst-12256	62	11	including	include	VERB
ajst-12256	62	12	computer	computer	NOUN
ajst-12256	62	13	vision	vision	NOUN
ajst-12256	62	14	,	,	PUNCT
ajst-12256	62	15	natural	natural	ADJ
ajst-12256	62	16	language	language	NOUN
ajst-12256	62	17	processing	processing	NOUN
ajst-12256	62	18	,	,	PUNCT
ajst-12256	62	19	healthcare	healthcare	NOUN
ajst-12256	62	20	,	,	PUNCT
ajst-12256	62	21	and	and	CCONJ
ajst-12256	62	22	finance	finance	NOUN
ajst-12256	62	23	.	.	PUNCT
ajst-12256	63	1	it	it	PRON
ajst-12256	63	2	has	have	AUX
ajst-12256	63	3	achieved	achieve	VERB
ajst-12256	63	4	remarkable	remarkable	ADJ
ajst-12256	63	5	success	success	NOUN
ajst-12256	63	6	in	in	ADP
ajst-12256	63	7	tasks	task	NOUN
ajst-12256	63	8	like	like	ADP
ajst-12256	63	9	image	image	NOUN
ajst-12256	63	10	classification	classification	NOUN
ajst-12256	63	11	,	,	PUNCT
ajst-12256	63	12	text	text	NOUN
ajst-12256	63	13	classification	classification	NOUN
ajst-12256	63	14	,	,	PUNCT
ajst-12256	63	15	object	object	NOUN
ajst-12256	63	16	detection	detection	NOUN
ajst-12256	63	17	,	,	PUNCT
ajst-12256	63	18	and	and	CCONJ
ajst-12256	63	19	speech	speech	NOUN
ajst-12256	63	20	recognition	recognition	NOUN
ajst-12256	63	21	.	.	PUNCT
ajst-12256	64	1	while	while	SCONJ
ajst-12256	64	2	alexnet	alexnet	NOUN
ajst-12256	64	3	was	be	AUX
ajst-12256	64	4	rigorously	rigorously	ADV
ajst-12256	64	5	trained	train	VERB
ajst-12256	64	6	on	on	ADP
ajst-12256	64	7	the	the	DET
ajst-12256	64	8	imagenet	imagenet	NOUN
ajst-12256	64	9	dataset	dataset	NOUN
ajst-12256	64	10	,	,	PUNCT
ajst-12256	64	11	which	which	PRON
ajst-12256	64	12	comprises	comprise	VERB
ajst-12256	64	13	over	over	ADP
ajst-12256	64	14	a	a	DET
ajst-12256	64	15	million	million	NUM
ajst-12256	64	16	images	image	NOUN
ajst-12256	64	17	,	,	PUNCT
ajst-12256	64	18	there	there	PRON
ajst-12256	64	19	is	be	VERB
ajst-12256	64	20	n't	not	PART
ajst-12256	64	21	a	a	DET
ajst-12256	64	22	sufficiently	sufficiently	ADV
ajst-12256	64	23	large	large	ADJ
ajst-12256	64	24	dataset	dataset	NOUN
ajst-12256	64	25	for	for	ADP
ajst-12256	64	26	images	image	NOUN
ajst-12256	64	27	of	of	ADP
ajst-12256	64	28	ancient	ancient	ADJ
ajst-12256	64	29	architectural	architectural	ADJ
ajst-12256	64	30	damage	damage	NOUN
ajst-12256	64	31	.	.	PUNCT
ajst-12256	65	1	hence	hence	ADV
ajst-12256	65	2	,	,	PUNCT
ajst-12256	65	3	training	train	VERB
ajst-12256	65	4	a	a	DET
ajst-12256	65	5	network	network	NOUN
ajst-12256	65	6	model	model	NOUN
ajst-12256	65	7	to	to	PART
ajst-12256	65	8	achieve	achieve	VERB
ajst-12256	65	9	optimal	optimal	ADJ
ajst-12256	65	10	classification	classification	NOUN
ajst-12256	65	11	performance	performance	NOUN
ajst-12256	65	12	for	for	ADP
ajst-12256	65	13	such	such	ADJ
ajst-12256	65	14	images	image	NOUN
ajst-12256	65	15	is	be	AUX
ajst-12256	65	16	challenging	challenge	VERB
ajst-12256	65	17	.	.	PUNCT
ajst-12256	66	1	therefore	therefore	ADV
ajst-12256	66	2	,	,	PUNCT
ajst-12256	66	3	transfer	transfer	NOUN
ajst-12256	66	4	learning	learning	NOUN
ajst-12256	66	5	emerges	emerge	NOUN
ajst-12256	66	6	as	as	ADP
ajst-12256	66	7	an	an	DET
ajst-12256	66	8	effective	effective	ADJ
ajst-12256	66	9	solution	solution	NOUN
ajst-12256	66	10	for	for	ADP
ajst-12256	66	11	classifying	classify	VERB
ajst-12256	66	12	datasets	dataset	NOUN
ajst-12256	66	13	of	of	ADP
ajst-12256	66	14	ancient	ancient	ADJ
ajst-12256	66	15	architectural	architectural	ADJ
ajst-12256	66	16	structure	structure	NOUN
ajst-12256	66	17	damage	damage	NOUN
ajst-12256	66	18	.	.	PUNCT
ajst-12256	67	1	3	3	X
ajst-12256	67	2	.	.	X
ajst-12256	67	3	image	image	NOUN
ajst-12256	67	4	preprocessing	preprocesse	VERB
ajst-12256	67	5	the	the	DET
ajst-12256	67	6	experimental	experimental	ADJ
ajst-12256	67	7	data	datum	NOUN
ajst-12256	67	8	come	come	VERB
ajst-12256	67	9	from	from	ADP
ajst-12256	67	10	the	the	DET
ajst-12256	67	11	following	follow	VERB
ajst-12256	67	12	two	two	NUM
ajst-12256	67	13	methods	method	NOUN
ajst-12256	67	14	:	:	PUNCT
ajst-12256	67	15	①	①	NUM
ajst-12256	67	16	images	image	NOUN
ajst-12256	67	17	sourced	source	VERB
ajst-12256	67	18	from	from	ADP
ajst-12256	67	19	online	online	ADJ
ajst-12256	67	20	searches	search	NOUN
ajst-12256	67	21	;	;	PUNCT
ajst-12256	67	22	②	②	NUM
ajst-12256	67	23	examples	example	NOUN
ajst-12256	67	24	of	of	ADP
ajst-12256	67	25	ancient	ancient	ADJ
ajst-12256	67	26	architectural	architectural	ADJ
ajst-12256	67	27	structural	structural	ADJ
ajst-12256	67	28	damage	damage	NOUN
ajst-12256	67	29	photographed	photograph	VERB
ajst-12256	67	30	and	and	CCONJ
ajst-12256	67	31	collected	collect	VERB
ajst-12256	67	32	using	use	VERB
ajst-12256	67	33	a	a	DET
ajst-12256	67	34	mobile	mobile	ADJ
ajst-12256	67	35	phone	phone	NOUN
ajst-12256	67	36	.	.	PUNCT
ajst-12256	68	1	due	due	ADP
ajst-12256	68	2	to	to	ADP
ajst-12256	68	3	the	the	DET
ajst-12256	68	4	significant	significant	ADJ
ajst-12256	68	5	difference	difference	NOUN
ajst-12256	68	6	in	in	ADP
ajst-12256	68	7	image	image	NOUN
ajst-12256	68	8	resolution	resolution	NOUN
ajst-12256	68	9	between	between	ADP
ajst-12256	68	10	photos	photo	NOUN
ajst-12256	68	11	taken	take	VERB
ajst-12256	68	12	with	with	ADP
ajst-12256	68	13	mobile	mobile	ADJ
ajst-12256	68	14	phones	phone	NOUN
ajst-12256	68	15	and	and	CCONJ
ajst-12256	68	16	those	those	PRON
ajst-12256	68	17	collected	collect	VERB
ajst-12256	68	18	online	online	ADV
ajst-12256	68	19	,	,	PUNCT
ajst-12256	68	20	normalization	normalization	NOUN
ajst-12256	68	21	is	be	AUX
ajst-12256	68	22	required	require	VERB
ajst-12256	68	23	.	.	PUNCT
ajst-12256	69	1	the	the	DET
ajst-12256	69	2	data	data	NOUN
ajst-12256	69	3	images	image	NOUN
ajst-12256	69	4	are	be	AUX
ajst-12256	69	5	resized	resize	VERB
ajst-12256	69	6	to	to	ADP
ajst-12256	69	7	224×224×3	224×224×3	NUM
ajst-12256	69	8	.	.	PUNCT
ajst-12256	70	1	the	the	DET
ajst-12256	70	2	image	image	NOUN
ajst-12256	70	3	data	datum	NOUN
ajst-12256	70	4	is	be	AUX
ajst-12256	70	5	split	split	VERB
ajst-12256	70	6	into	into	ADP
ajst-12256	70	7	training	training	NOUN
ajst-12256	70	8	and	and	CCONJ
ajst-12256	70	9	test	test	NOUN
ajst-12256	70	10	sets	set	NOUN
ajst-12256	70	11	at	at	ADP
ajst-12256	70	12	a	a	DET
ajst-12256	70	13	ratio	ratio	NOUN
ajst-12256	70	14	of	of	ADP
ajst-12256	70	15	7:3	7:3	NUM
ajst-12256	70	16	.	.	PUNCT
ajst-12256	71	1	using	use	VERB
ajst-12256	71	2	a	a	DET
ajst-12256	71	3	small	small	ADJ
ajst-12256	71	4	sample	sample	NOUN
ajst-12256	71	5	dataset	dataset	NOUN
ajst-12256	71	6	can	can	AUX
ajst-12256	71	7	lead	lead	VERB
ajst-12256	71	8	to	to	ADP
ajst-12256	71	9	issues	issue	NOUN
ajst-12256	71	10	like	like	ADP
ajst-12256	71	11	overfitting	overfitte	VERB
ajst-12256	71	12	,	,	PUNCT
ajst-12256	71	13	poor	poor	ADJ
ajst-12256	71	14	generalization	generalization	NOUN
ajst-12256	71	15	capability	capability	NOUN
ajst-12256	71	16	,	,	PUNCT
ajst-12256	71	17	and	and	CCONJ
ajst-12256	71	18	difficulties	difficulty	NOUN
ajst-12256	71	19	in	in	ADP
ajst-12256	71	20	convergence	convergence	NOUN
ajst-12256	71	21	.	.	PUNCT
ajst-12256	72	1	thus	thus	ADV
ajst-12256	72	2	,	,	PUNCT
ajst-12256	72	3	it	it	PRON
ajst-12256	72	4	's	be	AUX
ajst-12256	72	5	necessary	necessary	ADJ
ajst-12256	72	6	to	to	PART
ajst-12256	72	7	expand	expand	VERB
ajst-12256	72	8	the	the	DET
ajst-12256	72	9	dataset	dataset	NOUN
ajst-12256	72	10	.	.	PUNCT
ajst-12256	73	1	data	datum	NOUN
ajst-12256	73	2	augmentation	augmentation	NOUN
ajst-12256	73	3	operations	operation	NOUN
ajst-12256	73	4	are	be	AUX
ajst-12256	73	5	performed	perform	VERB
ajst-12256	73	6	on	on	ADP
ajst-12256	73	7	the	the	DET
ajst-12256	73	8	training	training	NOUN
ajst-12256	73	9	images	image	NOUN
ajst-12256	73	10	,	,	PUNCT
ajst-12256	73	11	including	include	VERB
ajst-12256	73	12	rotations	rotation	NOUN
ajst-12256	73	13	of	of	ADP
ajst-12256	73	14	90	90	NUM
ajst-12256	73	15	°	°	NOUN
ajst-12256	73	16	,	,	PUNCT
ajst-12256	73	17	180	180	NUM
ajst-12256	73	18	°	°	NOUN
ajst-12256	73	19	,	,	PUNCT
ajst-12256	73	20	and	and	CCONJ
ajst-12256	73	21	270	270	NUM
ajst-12256	73	22	°	°	NOUN
ajst-12256	73	23	,	,	PUNCT
ajst-12256	73	24	mirroring	mirroring	NOUN
ajst-12256	73	25	,	,	PUNCT
ajst-12256	73	26	and	and	CCONJ
ajst-12256	73	27	translational	translational	ADJ
ajst-12256	73	28	transformations	transformation	NOUN
ajst-12256	73	29	,	,	PUNCT
ajst-12256	73	30	ensuring	ensure	VERB
ajst-12256	73	31	that	that	SCONJ
ajst-12256	73	32	the	the	DET
ajst-12256	73	33	original	original	ADJ
ajst-12256	73	34	information	information	NOUN
ajst-12256	73	35	of	of	ADP
ajst-12256	73	36	the	the	DET
ajst-12256	73	37	image	image	NOUN
ajst-12256	73	38	is	be	AUX
ajst-12256	73	39	retained	retain	VERB
ajst-12256	73	40	to	to	ADP
ajst-12256	73	41	the	the	DET
ajst-12256	73	42	maximum	maximum	ADJ
ajst-12256	73	43	extent	extent	NOUN
ajst-12256	73	44	during	during	ADP
ajst-12256	73	45	this	this	DET
ajst-12256	73	46	process	process	NOUN
ajst-12256	73	47	.	.	PUNCT
ajst-12256	74	1	4	4	X
ajst-12256	74	2	.	.	PUNCT
ajst-12256	74	3	model	model	NOUN
ajst-12256	74	4	training	training	NOUN
ajst-12256	74	5	and	and	CCONJ
ajst-12256	74	6	prediction	prediction	NOUN
ajst-12256	74	7	this	this	DET
ajst-12256	74	8	paper	paper	NOUN
ajst-12256	74	9	employs	employ	VERB
ajst-12256	74	10	the	the	DET
ajst-12256	74	11	alexnet	alexnet	NOUN
ajst-12256	74	12	as	as	ADP
ajst-12256	74	13	its	its	PRON
ajst-12256	74	14	foundational	foundational	ADJ
ajst-12256	74	15	architecture	architecture	NOUN
ajst-12256	74	16	.	.	PUNCT
ajst-12256	75	1	alexnet	alexnet	NOUN
ajst-12256	75	2	is	be	AUX
ajst-12256	75	3	a	a	DET
ajst-12256	75	4	classic	classic	ADJ
ajst-12256	75	5	deep	deep	ADJ
ajst-12256	75	6	convolutional	convolutional	ADJ
ajst-12256	75	7	neural	neural	ADJ
ajst-12256	75	8	network	network	NOUN
ajst-12256	75	9	pre	pre	VERB
ajst-12256	75	10	-	-	VERB
ajst-12256	75	11	trained	train	VERB
ajst-12256	75	12	on	on	ADP
ajst-12256	75	13	the	the	DET
ajst-12256	75	14	imagenet	imagenet	NOUN
ajst-12256	75	15	dataset	dataset	NOUN
ajst-12256	75	16	.	.	PUNCT
ajst-12256	76	1	we	we	PRON
ajst-12256	76	2	engage	engage	VERB
ajst-12256	76	3	in	in	ADP
ajst-12256	76	4	transfer	transfer	NOUN
ajst-12256	76	5	learning	learning	NOUN
ajst-12256	76	6	based	base	VERB
ajst-12256	76	7	on	on	ADP
ajst-12256	76	8	this	this	DET
ajst-12256	76	9	model	model	NOUN
ajst-12256	76	10	,	,	PUNCT
ajst-12256	76	11	fine	fine	ADV
ajst-12256	76	12	-	-	PUNCT
ajst-12256	76	13	tuning	tune	VERB
ajst-12256	76	14	the	the	DET
ajst-12256	76	15	fully	fully	ADV
ajst-12256	76	16	connected	connected	ADJ
ajst-12256	76	17	layers	layer	NOUN
ajst-12256	76	18	of	of	ADP
ajst-12256	76	19	the	the	DET
ajst-12256	76	20	structure	structure	NOUN
ajst-12256	76	21	and	and	CCONJ
ajst-12256	76	22	introducing	introduce	VERB
ajst-12256	76	23	dropout	dropout	NOUN
ajst-12256	76	24	layers	layer	NOUN
ajst-12256	76	25	to	to	PART
ajst-12256	76	26	prevent	prevent	VERB
ajst-12256	76	27	overfitting	overfitting	NOUN
ajst-12256	76	28	,	,	PUNCT
ajst-12256	76	29	catering	cater	VERB
ajst-12256	76	30	to	to	ADP
ajst-12256	76	31	the	the	DET
ajst-12256	76	32	task	task	NOUN
ajst-12256	76	33	of	of	ADP
ajst-12256	76	34	identifying	identify	VERB
ajst-12256	76	35	architectural	architectural	ADJ
ajst-12256	76	36	damage	damage	NOUN
ajst-12256	76	37	.	.	PUNCT
ajst-12256	77	1	simultaneously	simultaneously	ADV
ajst-12256	77	2	,	,	PUNCT
ajst-12256	77	3	the	the	DET
ajst-12256	77	4	weights	weight	NOUN
ajst-12256	77	5	of	of	ADP
ajst-12256	77	6	the	the	DET
ajst-12256	77	7	initial	initial	ADJ
ajst-12256	77	8	layers	layer	NOUN
ajst-12256	77	9	of	of	ADP
ajst-12256	77	10	the	the	DET
ajst-12256	77	11	model	model	NOUN
ajst-12256	77	12	are	be	AUX
ajst-12256	77	13	kept	keep	VERB
ajst-12256	77	14	fixed	fix	VERB
ajst-12256	77	15	,	,	PUNCT
ajst-12256	77	16	training	train	VERB
ajst-12256	77	17	only	only	ADV
ajst-12256	77	18	the	the	DET
ajst-12256	77	19	150	150	NUM
ajst-12256	77	20	fully	fully	ADV
ajst-12256	77	21	connected	connected	ADJ
ajst-12256	77	22	layers	layer	NOUN
ajst-12256	77	23	,	,	PUNCT
ajst-12256	77	24	which	which	PRON
ajst-12256	77	25	significantly	significantly	ADV
ajst-12256	77	26	accelerates	accelerate	VERB
ajst-12256	77	27	the	the	DET
ajst-12256	77	28	training	training	NOUN
ajst-12256	77	29	speed	speed	NOUN
ajst-12256	77	30	while	while	SCONJ
ajst-12256	77	31	retaining	retain	VERB
ajst-12256	77	32	the	the	DET
ajst-12256	77	33	generic	generic	ADJ
ajst-12256	77	34	features	feature	NOUN
ajst-12256	77	35	learned	learn	VERB
ajst-12256	77	36	from	from	ADP
ajst-12256	77	37	the	the	DET
ajst-12256	77	38	imagenet	imagenet	NOUN
ajst-12256	77	39	dataset.after	dataset.after	NOUN
ajst-12256	77	40	preprocessing	preprocessing	NOUN
ajst-12256	77	41	,	,	PUNCT
ajst-12256	77	42	the	the	DET
ajst-12256	77	43	training	training	NOUN
ajst-12256	77	44	dataset	dataset	NOUN
ajst-12256	77	45	is	be	AUX
ajst-12256	77	46	employed	employ	VERB
ajst-12256	77	47	to	to	PART
ajst-12256	77	48	train	train	VERB
ajst-12256	77	49	the	the	DET
ajst-12256	77	50	constructed	construct	VERB
ajst-12256	77	51	transfer	transfer	NOUN
ajst-12256	77	52	learning	learning	NOUN
ajst-12256	77	53	model	model	NOUN
ajst-12256	77	54	.	.	PUNCT
ajst-12256	78	1	optimizers	optimizer	NOUN
ajst-12256	78	2	continuously	continuously	ADV
ajst-12256	78	3	update	update	VERB
ajst-12256	78	4	and	and	CCONJ
ajst-12256	78	5	compute	compute	VERB
ajst-12256	78	6	the	the	DET
ajst-12256	78	7	network	network	NOUN
ajst-12256	78	8	parameters	parameter	NOUN
ajst-12256	78	9	to	to	PART
ajst-12256	78	10	optimize	optimize	VERB
ajst-12256	78	11	the	the	DET
ajst-12256	78	12	loss	loss	NOUN
ajst-12256	78	13	function	function	NOUN
ajst-12256	78	14	to	to	ADP
ajst-12256	78	15	its	its	PRON
ajst-12256	78	16	extremum	extremum	ADJ
ajst-12256	78	17	(	(	PUNCT
ajst-12256	78	18	either	either	CCONJ
ajst-12256	78	19	minimum	minimum	ADJ
ajst-12256	78	20	or	or	CCONJ
ajst-12256	78	21	maximum	maximum	ADJ
ajst-12256	78	22	)	)	PUNCT
ajst-12256	78	23	.	.	PUNCT
ajst-12256	79	1	throughout	throughout	ADP
ajst-12256	79	2	the	the	DET
ajst-12256	79	3	training	training	NOUN
ajst-12256	79	4	phase	phase	NOUN
ajst-12256	79	5	,	,	PUNCT
ajst-12256	79	6	our	our	PRON
ajst-12256	79	7	transfer	transfer	NOUN
ajst-12256	79	8	learning	learning	NOUN
ajst-12256	79	9	model	model	NOUN
ajst-12256	79	10	uses	use	VERB
ajst-12256	79	11	the	the	DET
ajst-12256	79	12	adam	adam	PROPN
ajst-12256	79	13	optimizer	optimizer	NOUN
ajst-12256	79	14	,	,	PUNCT
ajst-12256	79	15	which	which	PRON
ajst-12256	79	16	dynamically	dynamically	ADV
ajst-12256	79	17	adjusts	adjust	VERB
ajst-12256	79	18	the	the	DET
ajst-12256	79	19	learning	learning	NOUN
ajst-12256	79	20	rate	rate	NOUN
ajst-12256	79	21	for	for	ADP
ajst-12256	79	22	each	each	DET
ajst-12256	79	23	parameter	parameter	NOUN
ajst-12256	79	24	based	base	VERB
ajst-12256	79	25	on	on	ADP
ajst-12256	79	26	historical	historical	ADJ
ajst-12256	79	27	gradient	gradient	NOUN
ajst-12256	79	28	information	information	NOUN
ajst-12256	79	29	.	.	PUNCT
ajst-12256	80	1	an	an	DET
ajst-12256	80	2	initial	initial	ADJ
ajst-12256	80	3	learning	learning	NOUN
ajst-12256	80	4	rate	rate	NOUN
ajst-12256	80	5	of	of	ADP
ajst-12256	80	6	0.0001	0.0001	NUM
ajst-12256	80	7	is	be	AUX
ajst-12256	80	8	set	set	VERB
ajst-12256	80	9	and	and	CCONJ
ajst-12256	80	10	decayed	decay	VERB
ajst-12256	80	11	as	as	ADP
ajst-12256	80	12	training	training	NOUN
ajst-12256	80	13	progresses	progress	NOUN
ajst-12256	80	14	.	.	PUNCT
ajst-12256	81	1	during	during	ADP
ajst-12256	81	2	this	this	DET
ajst-12256	81	3	phase	phase	NOUN
ajst-12256	81	4	,	,	PUNCT
ajst-12256	81	5	we	we	PRON
ajst-12256	81	6	log	log	VERB
ajst-12256	81	7	the	the	DET
ajst-12256	81	8	loss	loss	NOUN
ajst-12256	81	9	and	and	CCONJ
ajst-12256	81	10	accuracy	accuracy	NOUN
ajst-12256	81	11	metrics	metric	NOUN
ajst-12256	81	12	of	of	ADP
ajst-12256	81	13	the	the	DET
ajst-12256	81	14	model	model	NOUN
ajst-12256	81	15	on	on	ADP
ajst-12256	81	16	both	both	CCONJ
ajst-12256	81	17	the	the	DET
ajst-12256	81	18	training	training	NOUN
ajst-12256	81	19	and	and	CCONJ
ajst-12256	81	20	validation	validation	NOUN
ajst-12256	81	21	datasets	dataset	NOUN
ajst-12256	81	22	and	and	CCONJ
ajst-12256	81	23	plot	plot	VERB
ajst-12256	81	24	these	these	DET
ajst-12256	81	25	metrics	metric	NOUN
ajst-12256	81	26	over	over	ADP
ajst-12256	81	27	time	time	NOUN
ajst-12256	81	28	,	,	PUNCT
ajst-12256	81	29	offering	offer	VERB
ajst-12256	81	30	an	an	DET
ajst-12256	81	31	intuitive	intuitive	ADJ
ajst-12256	81	32	insight	insight	NOUN
ajst-12256	81	33	into	into	ADP
ajst-12256	81	34	the	the	DET
ajst-12256	81	35	model	model	NOUN
ajst-12256	81	36	's	's	PART
ajst-12256	81	37	training	training	NOUN
ajst-12256	81	38	progression	progression	NOUN
ajst-12256	81	39	.	.	PUNCT
ajst-12256	82	1	the	the	DET
ajst-12256	82	2	study	study	NOUN
ajst-12256	82	3	explores	explore	VERB
ajst-12256	82	4	the	the	DET
ajst-12256	82	5	performance	performance	NOUN
ajst-12256	82	6	and	and	CCONJ
ajst-12256	82	7	classification	classification	NOUN
ajst-12256	82	8	accuracy	accuracy	NOUN
ajst-12256	82	9	of	of	ADP
ajst-12256	82	10	the	the	DET
ajst-12256	82	11	transfer	transfer	NOUN
ajst-12256	82	12	learning	learn	VERB
ajst-12256	82	13	model	model	NOUN
ajst-12256	82	14	by	by	ADP
ajst-12256	82	15	observing	observe	VERB
ajst-12256	82	16	the	the	DET
ajst-12256	82	17	recognition	recognition	NOUN
ajst-12256	82	18	accuracy	accuracy	NOUN
ajst-12256	82	19	on	on	ADP
ajst-12256	82	20	the	the	DET
ajst-12256	82	21	validation	validation	NOUN
ajst-12256	82	22	set	set	NOUN
ajst-12256	82	23	.	.	PUNCT
ajst-12256	83	1	experiments	experiment	NOUN
ajst-12256	83	2	are	be	AUX
ajst-12256	83	3	also	also	ADV
ajst-12256	83	4	conducted	conduct	VERB
ajst-12256	83	5	to	to	PART
ajst-12256	83	6	investigate	investigate	VERB
ajst-12256	83	7	the	the	DET
ajst-12256	83	8	effect	effect	NOUN
ajst-12256	83	9	of	of	ADP
ajst-12256	83	10	data	datum	NOUN
ajst-12256	83	11	augmentation	augmentation	NOUN
ajst-12256	83	12	on	on	ADP
ajst-12256	83	13	the	the	DET
ajst-12256	83	14	recognition	recognition	NOUN
ajst-12256	83	15	accuracy	accuracy	NOUN
ajst-12256	83	16	of	of	ADP
ajst-12256	83	17	the	the	DET
ajst-12256	83	18	transfer	transfer	NOUN
ajst-12256	83	19	learning	learning	NOUN
ajst-12256	83	20	model	model	NOUN
ajst-12256	83	21	.	.	PUNCT
ajst-12256	84	1	ultimately	ultimately	ADV
ajst-12256	84	2	,	,	PUNCT
ajst-12256	84	3	the	the	DET
ajst-12256	84	4	testing	testing	NOUN
ajst-12256	84	5	dataset	dataset	NOUN
ajst-12256	84	6	evaluates	evaluate	VERB
ajst-12256	84	7	the	the	DET
ajst-12256	84	8	performance	performance	NOUN
ajst-12256	84	9	of	of	ADP
ajst-12256	84	10	the	the	DET
ajst-12256	84	11	transfer	transfer	NOUN
ajst-12256	84	12	learning	learn	VERB
ajst-12256	84	13	model	model	NOUN
ajst-12256	84	14	through	through	ADP
ajst-12256	84	15	key	key	ADJ
ajst-12256	84	16	metrics	metric	NOUN
ajst-12256	84	17	such	such	ADJ
ajst-12256	84	18	as	as	ADP
ajst-12256	84	19	training	training	NOUN
ajst-12256	84	20	time	time	NOUN
ajst-12256	84	21	and	and	CCONJ
ajst-12256	84	22	accuracy	accuracy	NOUN
ajst-12256	84	23	,	,	PUNCT
ajst-12256	84	24	verifying	verify	VERB
ajst-12256	84	25	its	its	PRON
ajst-12256	84	26	precision	precision	NOUN
ajst-12256	84	27	in	in	ADP
ajst-12256	84	28	identifying	identify	VERB
ajst-12256	84	29	architectural	architectural	ADJ
ajst-12256	84	30	damage	damage	NOUN
ajst-12256	84	31	images	image	NOUN
ajst-12256	84	32	.	.	PUNCT
ajst-12256	85	1	the	the	DET
ajst-12256	85	2	results	result	NOUN
ajst-12256	85	3	demonstrate	demonstrate	VERB
ajst-12256	85	4	that	that	SCONJ
ajst-12256	85	5	transfer	transfer	NOUN
ajst-12256	85	6	learning	learning	NOUN
ajst-12256	85	7	in	in	ADP
ajst-12256	85	8	convolutional	convolutional	ADJ
ajst-12256	85	9	neural	neural	ADJ
ajst-12256	85	10	networks	network	NOUN
ajst-12256	85	11	presents	present	VERB
ajst-12256	85	12	commendable	commendable	ADJ
ajst-12256	85	13	recognition	recognition	NOUN
ajst-12256	85	14	results	result	NOUN
ajst-12256	85	15	for	for	ADP
ajst-12256	85	16	images	image	NOUN
ajst-12256	85	17	of	of	ADP
ajst-12256	85	18	architectural	architectural	ADJ
ajst-12256	85	19	structural	structural	ADJ
ajst-12256	85	20	damage	damage	NOUN
ajst-12256	85	21	.	.	PUNCT
ajst-12256	86	1	5	5	X
ajst-12256	86	2	.	.	X
ajst-12256	86	3	conclusion	conclusion	NOUN
ajst-12256	86	4	in	in	ADP
ajst-12256	86	5	this	this	DET
ajst-12256	86	6	study	study	NOUN
ajst-12256	86	7	,	,	PUNCT
ajst-12256	86	8	we	we	PRON
ajst-12256	86	9	applied	apply	VERB
ajst-12256	86	10	the	the	DET
ajst-12256	86	11	image	image	NOUN
ajst-12256	86	12	recognition	recognition	NOUN
ajst-12256	86	13	techniques	technique	NOUN
ajst-12256	86	14	of	of	ADP
ajst-12256	86	15	convolutional	convolutional	ADJ
ajst-12256	86	16	neural	neural	ADJ
ajst-12256	86	17	networks	network	NOUN
ajst-12256	86	18	to	to	ADP
ajst-12256	86	19	the	the	DET
ajst-12256	86	20	task	task	NOUN
ajst-12256	86	21	of	of	ADP
ajst-12256	86	22	identifying	identify	VERB
ajst-12256	86	23	damage	damage	NOUN
ajst-12256	86	24	in	in	ADP
ajst-12256	86	25	ancient	ancient	ADJ
ajst-12256	86	26	architectural	architectural	ADJ
ajst-12256	86	27	structures	structure	NOUN
ajst-12256	86	28	using	use	VERB
ajst-12256	86	29	transfer	transfer	NOUN
ajst-12256	86	30	learning	learning	NOUN
ajst-12256	86	31	methods	method	NOUN
ajst-12256	86	32	.	.	PUNCT
ajst-12256	87	1	the	the	DET
ajst-12256	87	2	main	main	ADJ
ajst-12256	87	3	findings	finding	NOUN
ajst-12256	87	4	of	of	ADP
ajst-12256	87	5	this	this	DET
ajst-12256	87	6	paper	paper	NOUN
ajst-12256	87	7	are	be	AUX
ajst-12256	87	8	as	as	SCONJ
ajst-12256	87	9	follows	follow	VERB
ajst-12256	87	10	:	:	PUNCT
ajst-12256	87	11	①by	①by	ADJ
ajst-12256	87	12	performing	perform	VERB
ajst-12256	87	13	essential	essential	ADJ
ajst-12256	87	14	preprocessing	preprocessing	NOUN
ajst-12256	87	15	and	and	CCONJ
ajst-12256	87	16	enhancement	enhancement	NOUN
ajst-12256	87	17	on	on	ADP
ajst-12256	87	18	a	a	DET
ajst-12256	87	19	small	small	ADJ
ajst-12256	87	20	sample	sample	NOUN
ajst-12256	87	21	dataset	dataset	NOUN
ajst-12256	87	22	and	and	CCONJ
ajst-12256	87	23	employing	employ	VERB
ajst-12256	87	24	pre	pre	ADJ
ajst-12256	87	25	-	-	ADJ
ajst-12256	87	26	trained	train	VERB
ajst-12256	87	27	models	model	NOUN
ajst-12256	87	28	with	with	ADP
ajst-12256	87	29	transfer	transfer	NOUN
ajst-12256	87	30	learning	learning	NOUN
ajst-12256	87	31	techniques	technique	NOUN
ajst-12256	87	32	,	,	PUNCT
ajst-12256	87	33	we	we	PRON
ajst-12256	87	34	specifically	specifically	ADV
ajst-12256	87	35	fine	fine	ADV
ajst-12256	87	36	-	-	PUNCT
ajst-12256	87	37	tuned	tune	VERB
ajst-12256	87	38	for	for	ADP
ajst-12256	87	39	the	the	DET
ajst-12256	87	40	task	task	NOUN
ajst-12256	87	41	of	of	ADP
ajst-12256	87	42	recognizing	recognize	VERB
ajst-12256	87	43	damage	damage	NOUN
ajst-12256	87	44	in	in	ADP
ajst-12256	87	45	ancient	ancient	ADJ
ajst-12256	87	46	architectural	architectural	ADJ
ajst-12256	87	47	structures	structure	NOUN
ajst-12256	87	48	.	.	PUNCT
ajst-12256	88	1	as	as	SCONJ
ajst-12256	88	2	the	the	DET
ajst-12256	88	3	weights	weight	NOUN
ajst-12256	88	4	for	for	ADP
ajst-12256	88	5	most	most	ADJ
ajst-12256	88	6	layers	layer	NOUN
ajst-12256	88	7	were	be	AUX
ajst-12256	88	8	frozen	freeze	VERB
ajst-12256	88	9	at	at	ADP
ajst-12256	88	10	the	the	DET
ajst-12256	88	11	outset	outset	NOUN
ajst-12256	88	12	of	of	ADP
ajst-12256	88	13	training	training	NOUN
ajst-12256	88	14	,	,	PUNCT
ajst-12256	88	15	only	only	ADV
ajst-12256	88	16	the	the	DET
ajst-12256	88	17	fully	fully	ADV
ajst-12256	88	18	connected	connect	VERB
ajst-12256	88	19	layer	layer	NOUN
ajst-12256	88	20	's	's	PART
ajst-12256	88	21	structure	structure	NOUN
ajst-12256	88	22	was	be	AUX
ajst-12256	88	23	adjusted	adjust	VERB
ajst-12256	88	24	.	.	PUNCT
ajst-12256	89	1	this	this	DET
ajst-12256	89	2	approach	approach	NOUN
ajst-12256	89	3	significantly	significantly	ADV
ajst-12256	89	4	reduced	reduce	VERB
ajst-12256	89	5	the	the	DET
ajst-12256	89	6	training	training	NOUN
ajst-12256	89	7	time	time	NOUN
ajst-12256	89	8	while	while	SCONJ
ajst-12256	89	9	ensuring	ensure	VERB
ajst-12256	89	10	the	the	DET
ajst-12256	89	11	model	model	NOUN
ajst-12256	89	12	's	's	PART
ajst-12256	89	13	stability	stability	NOUN
ajst-12256	89	14	and	and	CCONJ
ajst-12256	89	15	accuracy	accuracy	NOUN
ajst-12256	89	16	.	.	PUNCT
ajst-12256	90	1	②	②	NUM
ajst-12256	90	2	through	through	ADP
ajst-12256	90	3	such	such	ADJ
ajst-12256	90	4	training	training	NOUN
ajst-12256	90	5	,	,	PUNCT
ajst-12256	90	6	the	the	DET
ajst-12256	90	7	model	model	NOUN
ajst-12256	90	8	successfully	successfully	ADV
ajst-12256	90	9	distinguished	distinguish	VERB
ajst-12256	90	10	between	between	ADP
ajst-12256	90	11	damaged	damaged	ADJ
ajst-12256	90	12	and	and	CCONJ
ajst-12256	90	13	intact	intact	ADJ
ajst-12256	90	14	images	image	NOUN
ajst-12256	90	15	.	.	PUNCT
ajst-12256	91	1	the	the	DET
ajst-12256	91	2	experimental	experimental	ADJ
ajst-12256	91	3	results	result	NOUN
ajst-12256	91	4	also	also	ADV
ajst-12256	91	5	demonstrated	demonstrate	VERB
ajst-12256	91	6	that	that	SCONJ
ajst-12256	91	7	its	its	PRON
ajst-12256	91	8	accuracy	accuracy	NOUN
ajst-12256	91	9	and	and	CCONJ
ajst-12256	91	10	efficiency	efficiency	NOUN
ajst-12256	91	11	in	in	ADP
ajst-12256	91	12	damage	damage	NOUN
ajst-12256	91	13	identification	identification	NOUN
ajst-12256	91	14	notably	notably	ADV
ajst-12256	91	15	surpassed	surpass	VERB
ajst-12256	91	16	traditional	traditional	ADJ
ajst-12256	91	17	image	image	NOUN
ajst-12256	91	18	processing	processing	NOUN
ajst-12256	91	19	methods	method	NOUN
ajst-12256	91	20	.	.	PUNCT
ajst-12256	92	1	③this	③this	DET
ajst-12256	92	2	paper	paper	NOUN
ajst-12256	92	3	presents	present	VERB
ajst-12256	92	4	an	an	DET
ajst-12256	92	5	efficient	efficient	ADJ
ajst-12256	92	6	solution	solution	NOUN
ajst-12256	92	7	for	for	ADP
ajst-12256	92	8	the	the	DET
ajst-12256	92	9	practical	practical	ADJ
ajst-12256	92	10	application	application	NOUN
ajst-12256	92	11	of	of	ADP
ajst-12256	92	12	convolutional	convolutional	ADJ
ajst-12256	92	13	neural	neural	ADJ
ajst-12256	92	14	networks	network	NOUN
ajst-12256	92	15	combined	combine	VERB
ajst-12256	92	16	with	with	ADP
ajst-12256	92	17	transfer	transfer	NOUN
ajst-12256	92	18	learning	learning	NOUN
ajst-12256	92	19	methods	method	NOUN
ajst-12256	92	20	in	in	ADP
ajst-12256	92	21	identifying	identify	VERB
ajst-12256	92	22	damage	damage	NOUN
ajst-12256	92	23	in	in	ADP
ajst-12256	92	24	ancient	ancient	ADJ
ajst-12256	92	25	architectural	architectural	ADJ
ajst-12256	92	26	structures	structure	NOUN
ajst-12256	92	27	.	.	PUNCT
ajst-12256	93	1	references	reference	NOUN
ajst-12256	93	2	[	[	X
ajst-12256	93	3	1	1	NUM
ajst-12256	93	4	]	]	SYM
ajst-12256	93	5	li	li	PROPN
ajst-12256	93	6	,	,	PUNCT
ajst-12256	93	7	g.	g.	PROPN
ajst-12256	93	8	,	,	PUNCT
ajst-12256	93	9	et	et	PROPN
ajst-12256	93	10	al	al	PROPN
ajst-12256	93	11	.	.	PROPN
ajst-12256	93	12	,	,	PUNCT
ajst-12256	93	13	stress	stress	NOUN
ajst-12256	93	14	wave	wave	NOUN
ajst-12256	93	15	velocity	velocity	NOUN
ajst-12256	93	16	patterns	pattern	NOUN
ajst-12256	93	17	in	in	ADP
ajst-12256	93	18	the	the	DET
ajst-12256	93	19	longitudinal	longitudinal	ADJ
ajst-12256	93	20	–	–	PUNCT
ajst-12256	93	21	radial	radial	ADJ
ajst-12256	93	22	plane	plane	NOUN
ajst-12256	93	23	of	of	ADP
ajst-12256	93	24	trees	tree	NOUN
ajst-12256	93	25	for	for	ADP
ajst-12256	93	26	defect	defect	ADJ
ajst-12256	93	27	diagnosis	diagnosis	NOUN
ajst-12256	93	28	.	.	PUNCT
ajst-12256	94	1	computers	computer	NOUN
ajst-12256	94	2	and	and	CCONJ
ajst-12256	94	3	electronics	electronic	NOUN
ajst-12256	94	4	in	in	ADP
ajst-12256	94	5	agriculture	agriculture	NOUN
ajst-12256	94	6	,	,	PUNCT
ajst-12256	94	7	2016	2016	NUM
ajst-12256	94	8	.	.	PUNCT
ajst-12256	95	1	124	124	NUM
ajst-12256	95	2	.	.	PUNCT
ajst-12256	96	1	[	[	X
ajst-12256	96	2	2	2	NUM
ajst-12256	96	3	]	]	SYM
ajst-12256	96	4	li	li	PROPN
ajst-12256	96	5	,	,	PUNCT
ajst-12256	96	6	c.	c.	PROPN
ajst-12256	96	7	and	and	CCONJ
ajst-12256	96	8	m.	m.	NOUN
ajst-12256	96	9	wand	wand	NOUN
ajst-12256	96	10	,	,	PUNCT
ajst-12256	96	11	combining	combine	VERB
ajst-12256	96	12	markov	markov	NOUN
ajst-12256	96	13	random	random	ADJ
ajst-12256	96	14	fields	field	NOUN
ajst-12256	96	15	and	and	CCONJ
ajst-12256	96	16	convolutional	convolutional	ADJ
ajst-12256	96	17	neural	neural	ADJ
ajst-12256	96	18	networks	network	NOUN
ajst-12256	96	19	for	for	ADP
ajst-12256	96	20	image	image	NOUN
ajst-12256	96	21	synthesis	synthesis	NOUN
ajst-12256	96	22	.	.	PUNCT
ajst-12256	97	1	corr	corr	PROPN
ajst-12256	97	2	,	,	PUNCT
ajst-12256	97	3	2016	2016	NUM
ajst-12256	97	4	.	.	PUNCT
ajst-12256	98	1	abs/1601.04589	abs/1601.04589	NOUN
ajst-12256	98	2	.	.	PUNCT
ajst-12256	99	1	[	[	X
ajst-12256	99	2	3	3	NUM
ajst-12256	99	3	]	]	X
ajst-12256	99	4	wang	wang	PROPN
ajst-12256	99	5	,	,	PUNCT
ajst-12256	99	6	x.	x.	PROPN
ajst-12256	99	7	,	,	PUNCT
ajst-12256	99	8	et	et	PROPN
ajst-12256	99	9	al	al	PROPN
ajst-12256	99	10	.	.	PROPN
ajst-12256	99	11	,	,	PUNCT
ajst-12256	99	12	spectral	spectral	ADJ
ajst-12256	99	13	prediction	prediction	NOUN
ajst-12256	99	14	of	of	ADP
ajst-12256	99	15	phytophthora	phytophthora	NOUN
ajst-12256	99	16	infestans	infestan	NOUN
ajst-12256	99	17	infection	infection	NOUN
ajst-12256	99	18	on	on	ADP
ajst-12256	99	19	tomatoes	tomato	NOUN
ajst-12256	99	20	using	use	VERB
ajst-12256	99	21	artificial	artificial	ADJ
ajst-12256	99	22	neural	neural	ADJ
ajst-12256	99	23	network	network	NOUN
ajst-12256	99	24	(	(	PUNCT
ajst-12256	99	25	ann	ann	PROPN
ajst-12256	99	26	)	)	PUNCT
ajst-12256	99	27	.	.	PUNCT
ajst-12256	100	1	international	international	ADJ
ajst-12256	100	2	journal	journal	NOUN
ajst-12256	100	3	of	of	ADP
ajst-12256	100	4	remote	remote	ADJ
ajst-12256	100	5	sensing	sensing	NOUN
ajst-12256	100	6	,	,	PUNCT
ajst-12256	100	7	2008	2008	NUM
ajst-12256	100	8	.	.	PUNCT
ajst-12256	101	1	29(6	29(6	NUM
ajst-12256	101	2	):	):	PUNCT
ajst-12256	101	3	p.	p.	NOUN
ajst-12256	101	4	16931706	16931706	NUM
ajst-12256	101	5	.	.	PUNCT