id	sid	tid	token	lemma	pos
8p58pc30b15	1	1	a	a	DET
8p58pc30b15	1	2	new	new	ADJ
8p58pc30b15	1	3	approach	approach	NOUN
8p58pc30b15	1	4	to	to	PART
8p58pc30b15	1	5	model	model	VERB
8p58pc30b15	1	6	aerodynamic	aerodynamic	ADJ
8p58pc30b15	1	7	nonlinearities	nonlinearitie	NOUN
8p58pc30b15	1	8	in	in	ADP
8p58pc30b15	1	9	the	the	DET
8p58pc30b15	1	10	time	time	NOUN
8p58pc30b15	1	11	domain	domain	NOUN
8p58pc30b15	1	12	utilizing	utilize	VERB
8p58pc30b15	1	13	an	an	DET
8p58pc30b15	1	14	artificial	artificial	ADJ
8p58pc30b15	1	15	neural	neural	ADJ
8p58pc30b15	1	16	network	network	NOUN
8p58pc30b15	1	17	(	(	PUNCT
8p58pc30b15	1	18	ann	ann	PROPN
8p58pc30b15	1	19	)	)	PUNCT
8p58pc30b15	1	20	framework	framework	NOUN
8p58pc30b15	1	21	with	with	ADP
8p58pc30b15	1	22	embedded	embed	VERB
8p58pc30b15	1	23	cellular	cellular	ADJ
8p58pc30b15	1	24	automata	automata	PROPN
8p58pc30b15	1	25	(	(	PUNCT
8p58pc30b15	1	26	ca	can	AUX
8p58pc30b15	1	27	)	)	PUNCT
8p58pc30b15	1	28	scheme	scheme	NOUN
8p58pc30b15	1	29	has	have	AUX
8p58pc30b15	1	30	been	be	AUX
8p58pc30b15	1	31	developed	develop	VERB
8p58pc30b15	1	32	.	.	PUNCT
8p58pc30b15	2	1	this	this	DET
8p58pc30b15	2	2	nonparametric	nonparametric	NOUN
8p58pc30b15	2	3	modeling	modeling	NOUN
8p58pc30b15	2	4	approach	approach	NOUN
8p58pc30b15	2	5	has	have	AUX
8p58pc30b15	2	6	shown	show	VERB
8p58pc30b15	2	7	good	good	ADJ
8p58pc30b15	2	8	promise	promise	NOUN
8p58pc30b15	2	9	in	in	ADP
8p58pc30b15	2	10	capturing	capture	VERB
8p58pc30b15	2	11	the	the	DET
8p58pc30b15	2	12	hysteretic	hysteretic	ADJ
8p58pc30b15	2	13	nonlinear	nonlinear	ADJ
8p58pc30b15	2	14	behavior	behavior	NOUN
8p58pc30b15	2	15	of	of	ADP
8p58pc30b15	2	16	aerodynamic	aerodynamic	ADJ
8p58pc30b15	2	17	systems	system	NOUN
8p58pc30b15	2	18	in	in	ADP
8p58pc30b15	2	19	terms	term	NOUN
8p58pc30b15	2	20	of	of	ADP
8p58pc30b15	2	21	hidden	hide	VERB
8p58pc30b15	2	22	neurons	neuron	NOUN
8p58pc30b15	2	23	involving	involve	VERB
8p58pc30b15	2	24	higher	high	ADJ
8p58pc30b15	2	25	-	-	PUNCT
8p58pc30b15	2	26	order	order	NOUN
8p58pc30b15	2	27	terms	term	NOUN
8p58pc30b15	2	28	.	.	PUNCT
8p58pc30b15	3	1	concurrent	concurrent	ADJ
8p58pc30b15	3	2	training	training	NOUN
8p58pc30b15	3	3	of	of	ADP
8p58pc30b15	3	4	a	a	DET
8p58pc30b15	3	5	set	set	NOUN
8p58pc30b15	3	6	of	of	ADP
8p58pc30b15	3	7	higher	high	ADJ
8p58pc30b15	3	8	-	-	PUNCT
8p58pc30b15	3	9	order	order	NOUN
8p58pc30b15	3	10	neural	neural	ADJ
8p58pc30b15	3	11	networks	network	NOUN
8p58pc30b15	3	12	facilitates	facilitate	VERB
8p58pc30b15	3	13	a	a	DET
8p58pc30b15	3	14	unified	unified	ADJ
8p58pc30b15	3	15	approach	approach	NOUN
8p58pc30b15	3	16	for	for	ADP
8p58pc30b15	3	17	modeling	model	VERB
8p58pc30b15	3	18	the	the	DET
8p58pc30b15	3	19	combined	combine	VERB
8p58pc30b15	3	20	analysis	analysis	NOUN
8p58pc30b15	3	21	of	of	ADP
8p58pc30b15	3	22	flutter	flutter	NOUN
8p58pc30b15	3	23	and	and	CCONJ
8p58pc30b15	3	24	buffeting	buffeting	NOUN
8p58pc30b15	3	25	of	of	ADP
8p58pc30b15	3	26	cable	cable	NOUN
8p58pc30b15	3	27	-	-	PUNCT
8p58pc30b15	3	28	supported	support	VERB
8p58pc30b15	3	29	bridges	bridge	NOUN
8p58pc30b15	3	30	.	.	PUNCT
8p58pc30b15	4	1	accordingly	accordingly	ADV
8p58pc30b15	4	2	,	,	PUNCT
8p58pc30b15	4	3	the	the	DET
8p58pc30b15	4	4	influence	influence	NOUN
8p58pc30b15	4	5	of	of	ADP
8p58pc30b15	4	6	buffeting	buffet	VERB
8p58pc30b15	4	7	response	response	NOUN
8p58pc30b15	4	8	on	on	ADP
8p58pc30b15	4	9	the	the	DET
8p58pc30b15	4	10	self	self	NOUN
8p58pc30b15	4	11	-	-	PUNCT
8p58pc30b15	4	12	excited	excite	VERB
8p58pc30b15	4	13	forces	force	NOUN
8p58pc30b15	4	14	can	can	AUX
8p58pc30b15	4	15	be	be	AUX
8p58pc30b15	4	16	captured	capture	VERB
8p58pc30b15	4	17	,	,	PUNCT
8p58pc30b15	4	18	including	include	VERB
8p58pc30b15	4	19	the	the	DET
8p58pc30b15	4	20	contribution	contribution	NOUN
8p58pc30b15	4	21	of	of	ADP
8p58pc30b15	4	22	damping	damp	VERB
8p58pc30b15	4	23	and	and	CCONJ
8p58pc30b15	4	24	coupling	coupling	NOUN
8p58pc30b15	4	25	effects	effect	NOUN
8p58pc30b15	4	26	on	on	ADP
8p58pc30b15	4	27	the	the	DET
8p58pc30b15	4	28	buffeting	buffet	VERB
8p58pc30b15	4	29	response	response	NOUN
8p58pc30b15	4	30	.	.	PUNCT
8p58pc30b15	5	1	white	white	ADJ
8p58pc30b15	5	2	noise	noise	NOUN
8p58pc30b15	5	3	is	be	AUX
8p58pc30b15	5	4	intentionally	intentionally	ADV
8p58pc30b15	5	5	introduced	introduce	VERB
8p58pc30b15	5	6	to	to	ADP
8p58pc30b15	5	7	the	the	DET
8p58pc30b15	5	8	input	input	NOUN
8p58pc30b15	5	9	data	datum	NOUN
8p58pc30b15	5	10	to	to	PART
8p58pc30b15	5	11	enhance	enhance	VERB
8p58pc30b15	5	12	the	the	DET
8p58pc30b15	5	13	robustness	robustness	NOUN
8p58pc30b15	5	14	of	of	ADP
8p58pc30b15	5	15	the	the	DET
8p58pc30b15	5	16	trained	train	VERB
8p58pc30b15	5	17	neural	neural	ADJ
8p58pc30b15	5	18	network	network	NOUN
8p58pc30b15	5	19	embedded	embed	VERB
8p58pc30b15	5	20	with	with	ADP
8p58pc30b15	5	21	optimal	optimal	ADJ
8p58pc30b15	5	22	typology	typology	NOUN
8p58pc30b15	5	23	of	of	ADP
8p58pc30b15	5	24	ca	ca	NOUN
8p58pc30b15	5	25	.	.	PUNCT
8p58pc30b15	6	1	the	the	DET
8p58pc30b15	6	2	effectiveness	effectiveness	NOUN
8p58pc30b15	6	3	of	of	ADP
8p58pc30b15	6	4	this	this	DET
8p58pc30b15	6	5	approach	approach	NOUN
8p58pc30b15	6	6	and	and	CCONJ
8p58pc30b15	6	7	its	its	PRON
8p58pc30b15	6	8	applications	application	NOUN
8p58pc30b15	6	9	are	be	AUX
8p58pc30b15	6	10	discussed	discuss	VERB
8p58pc30b15	6	11	by	by	ADP
8p58pc30b15	6	12	way	way	NOUN
8p58pc30b15	6	13	of	of	ADP
8p58pc30b15	6	14	modeling	model	VERB
8p58pc30b15	6	15	the	the	DET
8p58pc30b15	6	16	aerodynamic	aerodynamic	ADJ
8p58pc30b15	6	17	behavior	behavior	NOUN
8p58pc30b15	6	18	of	of	ADP
8p58pc30b15	6	19	a	a	DET
8p58pc30b15	6	20	single	single	ADJ
8p58pc30b15	6	21	-	-	PUNCT
8p58pc30b15	6	22	box	box	NOUN
8p58pc30b15	6	23	girder	girder	NOUN
8p58pc30b15	6	24	cross	cross	ADJ
8p58pc30b15	6	25	-	-	ADJ
8p58pc30b15	6	26	section	section	ADJ
8p58pc30b15	6	27	bridge	bridge	NOUN
8p58pc30b15	6	28	deck	deck	NOUN
8p58pc30b15	6	29	(	(	PUNCT
8p58pc30b15	6	30	2	2	NUM
8p58pc30b15	6	31	-	-	SYM
8p58pc30b15	6	32	d	d	X
8p58pc30b15	6	33	)	)	PUNCT
8p58pc30b15	6	34	under	under	ADP
8p58pc30b15	6	35	turbulent	turbulent	ADJ
8p58pc30b15	6	36	wind	wind	NOUN
8p58pc30b15	6	37	conditions	condition	NOUN
8p58pc30b15	6	38	.	.	PUNCT
8p58pc30b15	7	1	this	this	DET
8p58pc30b15	7	2	approach	approach	NOUN
8p58pc30b15	7	3	can	can	AUX
8p58pc30b15	7	4	be	be	AUX
8p58pc30b15	7	5	extended	extend	VERB
8p58pc30b15	7	6	to	to	ADP
8p58pc30b15	7	7	a	a	DET
8p58pc30b15	7	8	full	full	ADJ
8p58pc30b15	7	9	-	-	PUNCT
8p58pc30b15	7	10	bridge	bridge	NOUN
8p58pc30b15	7	11	(	(	PUNCT
8p58pc30b15	7	12	3	3	NUM
8p58pc30b15	7	13	-	-	SYM
8p58pc30b15	7	14	d	d	NOUN
8p58pc30b15	7	15	)	)	PUNCT
8p58pc30b15	7	16	model	model	NOUN
8p58pc30b15	7	17	that	that	PRON
8p58pc30b15	7	18	also	also	ADV
8p58pc30b15	7	19	takes	take	VERB
8p58pc30b15	7	20	into	into	ADP
8p58pc30b15	7	21	account	account	NOUN
8p58pc30b15	7	22	the	the	DET
8p58pc30b15	7	23	correlation	correlation	NOUN
8p58pc30b15	7	24	of	of	ADP
8p58pc30b15	7	25	aerodynamic	aerodynamic	ADJ
8p58pc30b15	7	26	forces	force	NOUN
8p58pc30b15	7	27	along	along	ADP
8p58pc30b15	7	28	the	the	DET
8p58pc30b15	7	29	bridge	bridge	NOUN
8p58pc30b15	7	30	axis	axis	NOUN
8p58pc30b15	7	31	.	.	PUNCT
8p58pc30b15	8	1	this	this	DET
8p58pc30b15	8	2	novel	novel	ADJ
8p58pc30b15	8	3	application	application	NOUN
8p58pc30b15	8	4	of	of	ADP
8p58pc30b15	8	5	data	data	NOUN
8p58pc30b15	8	6	-	-	PUNCT
8p58pc30b15	8	7	driven	drive	VERB
8p58pc30b15	8	8	modeling	modeling	NOUN
8p58pc30b15	8	9	has	have	AUX
8p58pc30b15	8	10	shown	show	VERB
8p58pc30b15	8	11	a	a	DET
8p58pc30b15	8	12	remarkable	remarkable	ADJ
8p58pc30b15	8	13	potential	potential	NOUN
8p58pc30b15	8	14	for	for	ADP
8p58pc30b15	8	15	applications	application	NOUN
8p58pc30b15	8	16	to	to	PART
8p58pc30b15	8	17	bridge	bridge	VERB
8p58pc30b15	8	18	aerodynamics	aerodynamic	NOUN
8p58pc30b15	8	19	and	and	CCONJ
8p58pc30b15	8	20	other	other	ADJ
8p58pc30b15	8	21	related	related	ADJ
8p58pc30b15	8	22	areas	area	NOUN
8p58pc30b15	8	23	.	.	PUNCT