id	sid	tid	token	lemma	pos
7s75db80s6h	1	1	simulation	simulation	NOUN
7s75db80s6h	1	2	-	-	PUNCT
7s75db80s6h	1	3	based	base	VERB
7s75db80s6h	1	4	design	design	NOUN
7s75db80s6h	1	5	optimization	optimization	NOUN
7s75db80s6h	1	6	is	be	AUX
7s75db80s6h	1	7	playing	play	VERB
7s75db80s6h	1	8	an	an	DET
7s75db80s6h	1	9	increasingly	increasingly	ADV
7s75db80s6h	1	10	prominent	prominent	ADJ
7s75db80s6h	1	11	role	role	NOUN
7s75db80s6h	1	12	in	in	ADP
7s75db80s6h	1	13	the	the	DET
7s75db80s6h	1	14	design	design	NOUN
7s75db80s6h	1	15	of	of	ADP
7s75db80s6h	1	16	everything	everything	PRON
7s75db80s6h	1	17	from	from	ADP
7s75db80s6h	1	18	spacecraft	spacecraft	NOUN
7s75db80s6h	1	19	to	to	ADP
7s75db80s6h	1	20	consumer	consumer	NOUN
7s75db80s6h	1	21	products	product	NOUN
7s75db80s6h	1	22	.	.	PUNCT
7s75db80s6h	2	1	applying	apply	VERB
7s75db80s6h	2	2	nonlinear	nonlinear	ADJ
7s75db80s6h	2	3	optimization	optimization	NOUN
7s75db80s6h	2	4	techniques	technique	NOUN
7s75db80s6h	2	5	to	to	PART
7s75db80s6h	2	6	simulation	simulation	NOUN
7s75db80s6h	2	7	-	-	PUNCT
7s75db80s6h	2	8	based	base	VERB
7s75db80s6h	2	9	design	design	NOUN
7s75db80s6h	2	10	becomes	become	VERB
7s75db80s6h	2	11	prohibitively	prohibitively	ADV
7s75db80s6h	2	12	expensive	expensive	ADJ
7s75db80s6h	2	13	as	as	SCONJ
7s75db80s6h	2	14	computer	computer	NOUN
7s75db80s6h	2	15	models	model	NOUN
7s75db80s6h	2	16	become	become	VERB
7s75db80s6h	2	17	more	more	ADV
7s75db80s6h	2	18	complex	complex	ADJ
7s75db80s6h	2	19	and	and	CCONJ
7s75db80s6h	2	20	increase	increase	VERB
7s75db80s6h	2	21	in	in	ADP
7s75db80s6h	2	22	fidelity	fidelity	NOUN
7s75db80s6h	2	23	.	.	PUNCT
7s75db80s6h	3	1	a	a	DET
7s75db80s6h	3	2	common	common	ADJ
7s75db80s6h	3	3	engineering	engineering	NOUN
7s75db80s6h	3	4	practice	practice	NOUN
7s75db80s6h	3	5	is	be	AUX
7s75db80s6h	3	6	to	to	PART
7s75db80s6h	3	7	drive	drive	VERB
7s75db80s6h	3	8	the	the	DET
7s75db80s6h	3	9	preliminary	preliminary	ADJ
7s75db80s6h	3	10	design	design	NOUN
7s75db80s6h	3	11	process	process	NOUN
7s75db80s6h	3	12	using	use	VERB
7s75db80s6h	3	13	lower	low	ADJ
7s75db80s6h	3	14	fidelity	fidelity	NOUN
7s75db80s6h	3	15	models	model	NOUN
7s75db80s6h	3	16	as	as	ADP
7s75db80s6h	3	17	surrogates	surrogate	NOUN
7s75db80s6h	3	18	of	of	ADP
7s75db80s6h	3	19	expensive	expensive	ADJ
7s75db80s6h	3	20	high	high	ADJ
7s75db80s6h	3	21	fidelity	fidelity	NOUN
7s75db80s6h	3	22	simulations	simulation	NOUN
7s75db80s6h	3	23	.	.	PUNCT
7s75db80s6h	4	1	higher	high	ADJ
7s75db80s6h	4	2	fidelity	fidelity	NOUN
7s75db80s6h	4	3	models	model	NOUN
7s75db80s6h	4	4	are	be	AUX
7s75db80s6h	4	5	then	then	ADV
7s75db80s6h	4	6	used	use	VERB
7s75db80s6h	4	7	in	in	ADP
7s75db80s6h	4	8	the	the	DET
7s75db80s6h	4	9	final	final	ADJ
7s75db80s6h	4	10	design	design	NOUN
7s75db80s6h	4	11	stages	stage	NOUN
7s75db80s6h	4	12	to	to	PART
7s75db80s6h	4	13	refine	refine	VERB
7s75db80s6h	4	14	the	the	DET
7s75db80s6h	4	15	design	design	NOUN
7s75db80s6h	4	16	.	.	PUNCT
7s75db80s6h	5	1	however	however	ADV
7s75db80s6h	5	2	,	,	PUNCT
7s75db80s6h	5	3	using	use	VERB
7s75db80s6h	5	4	automated	automate	VERB
7s75db80s6h	5	5	optimization	optimization	NOUN
7s75db80s6h	5	6	methods	method	NOUN
7s75db80s6h	5	7	at	at	ADP
7s75db80s6h	5	8	this	this	DET
7s75db80s6h	5	9	stage	stage	NOUN
7s75db80s6h	5	10	may	may	AUX
7s75db80s6h	5	11	still	still	ADV
7s75db80s6h	5	12	require	require	VERB
7s75db80s6h	5	13	enormous	enormous	ADJ
7s75db80s6h	5	14	computational	computational	ADJ
7s75db80s6h	5	15	resources	resource	NOUN
7s75db80s6h	5	16	.	.	PUNCT
7s75db80s6h	6	1	recently	recently	ADV
7s75db80s6h	6	2	,	,	PUNCT
7s75db80s6h	6	3	variable	variable	ADJ
7s75db80s6h	6	4	fidelity	fidelity	NOUN
7s75db80s6h	6	5	schemes	scheme	NOUN
7s75db80s6h	6	6	have	have	AUX
7s75db80s6h	6	7	been	be	AUX
7s75db80s6h	6	8	developed	develop	VERB
7s75db80s6h	6	9	to	to	PART
7s75db80s6h	6	10	address	address	VERB
7s75db80s6h	6	11	this	this	DET
7s75db80s6h	6	12	problem	problem	NOUN
7s75db80s6h	6	13	by	by	ADP
7s75db80s6h	6	14	incorporating	incorporate	VERB
7s75db80s6h	6	15	both	both	DET
7s75db80s6h	6	16	models	model	NOUN
7s75db80s6h	6	17	into	into	ADP
7s75db80s6h	6	18	one	one	NUM
7s75db80s6h	6	19	optimization	optimization	NOUN
7s75db80s6h	6	20	framework	framework	NOUN
7s75db80s6h	6	21	.	.	PUNCT
7s75db80s6h	7	1	in	in	ADP
7s75db80s6h	7	2	these	these	DET
7s75db80s6h	7	3	methods	method	NOUN
7s75db80s6h	7	4	the	the	DET
7s75db80s6h	7	5	low	low	ADJ
7s75db80s6h	7	6	fidelity	fidelity	NOUN
7s75db80s6h	7	7	models	model	NOUN
7s75db80s6h	7	8	are	be	AUX
7s75db80s6h	7	9	scaled	scale	VERB
7s75db80s6h	7	10	to	to	PART
7s75db80s6h	7	11	approximate	approximate	VERB
7s75db80s6h	7	12	the	the	DET
7s75db80s6h	7	13	high	high	ADJ
7s75db80s6h	7	14	fidelity	fidelity	NOUN
7s75db80s6h	7	15	simulations	simulation	NOUN
7s75db80s6h	7	16	.	.	PUNCT
7s75db80s6h	8	1	this	this	DET
7s75db80s6h	8	2	scaling	scaling	NOUN
7s75db80s6h	8	3	allows	allow	VERB
7s75db80s6h	8	4	the	the	DET
7s75db80s6h	8	5	optimization	optimization	NOUN
7s75db80s6h	8	6	to	to	PART
7s75db80s6h	8	7	be	be	AUX
7s75db80s6h	8	8	performed	perform	VERB
7s75db80s6h	8	9	using	use	VERB
7s75db80s6h	8	10	mainly	mainly	ADV
7s75db80s6h	8	11	low	low	ADJ
7s75db80s6h	8	12	fidelity	fidelity	NOUN
7s75db80s6h	8	13	function	function	NOUN
7s75db80s6h	8	14	calls	call	VERB
7s75db80s6h	8	15	,	,	PUNCT
7s75db80s6h	8	16	reducing	reduce	VERB
7s75db80s6h	8	17	the	the	DET
7s75db80s6h	8	18	overall	overall	ADJ
7s75db80s6h	8	19	computational	computational	ADJ
7s75db80s6h	8	20	cost	cost	NOUN
7s75db80s6h	8	21	,	,	PUNCT
7s75db80s6h	8	22	while	while	SCONJ
7s75db80s6h	8	23	requiring	require	VERB
7s75db80s6h	8	24	only	only	ADV
7s75db80s6h	8	25	a	a	DET
7s75db80s6h	8	26	few	few	ADJ
7s75db80s6h	8	27	high	high	ADJ
7s75db80s6h	8	28	fidelity	fidelity	NOUN
7s75db80s6h	8	29	evaluations	evaluation	NOUN
7s75db80s6h	8	30	to	to	PART
7s75db80s6h	8	31	update	update	VERB
7s75db80s6h	8	32	the	the	DET
7s75db80s6h	8	33	scaling	scaling	NOUN
7s75db80s6h	8	34	function	function	NOUN
7s75db80s6h	8	35	.	.	PUNCT
7s75db80s6h	9	1	currently	currently	ADV
7s75db80s6h	9	2	,	,	PUNCT
7s75db80s6h	9	3	two	two	NUM
7s75db80s6h	9	4	main	main	ADJ
7s75db80s6h	9	5	scaling	scaling	NOUN
7s75db80s6h	9	6	varieties	variety	NOUN
7s75db80s6h	9	7	are	be	AUX
7s75db80s6h	9	8	used	use	VERB
7s75db80s6h	9	9	:	:	PUNCT
7s75db80s6h	9	10	first	first	ADJ
7s75db80s6h	9	11	order	order	NOUN
7s75db80s6h	9	12	multiplicative	multiplicative	NOUN
7s75db80s6h	9	13	and	and	CCONJ
7s75db80s6h	9	14	first	first	ADJ
7s75db80s6h	9	15	order	order	NOUN
7s75db80s6h	9	16	additive	additive	ADJ
7s75db80s6h	9	17	.	.	PUNCT
7s75db80s6h	10	1	in	in	ADP
7s75db80s6h	10	2	the	the	DET
7s75db80s6h	10	3	multiplicative	multiplicative	ADJ
7s75db80s6h	10	4	approach	approach	NOUN
7s75db80s6h	10	5	the	the	DET
7s75db80s6h	10	6	low	low	ADJ
7s75db80s6h	10	7	fidelity	fidelity	NOUN
7s75db80s6h	10	8	model	model	NOUN
7s75db80s6h	10	9	is	be	AUX
7s75db80s6h	10	10	multiplied	multiply	VERB
7s75db80s6h	10	11	by	by	ADP
7s75db80s6h	10	12	a	a	DET
7s75db80s6h	10	13	scaling	scale	VERB
7s75db80s6h	10	14	function	function	NOUN
7s75db80s6h	10	15	to	to	PART
7s75db80s6h	10	16	approximate	approximate	VERB
7s75db80s6h	10	17	the	the	DET
7s75db80s6h	10	18	high	high	ADJ
7s75db80s6h	10	19	fidelity	fidelity	NOUN
7s75db80s6h	10	20	model	model	NOUN
7s75db80s6h	10	21	;	;	PUNCT
7s75db80s6h	10	22	similarly	similarly	ADV
7s75db80s6h	10	23	,	,	PUNCT
7s75db80s6h	10	24	in	in	ADP
7s75db80s6h	10	25	the	the	DET
7s75db80s6h	10	26	additive	additive	ADJ
7s75db80s6h	10	27	approach	approach	NOUN
7s75db80s6h	10	28	a	a	DET
7s75db80s6h	10	29	scaling	scaling	NOUN
7s75db80s6h	10	30	function	function	NOUN
7s75db80s6h	10	31	is	be	AUX
7s75db80s6h	10	32	added	add	VERB
7s75db80s6h	10	33	to	to	ADP
7s75db80s6h	10	34	the	the	DET
7s75db80s6h	10	35	low	low	ADJ
7s75db80s6h	10	36	fidelity	fidelity	PROPN
7s75db80s6h	10	37	model	model	NOUN
7s75db80s6h	10	38	.	.	PUNCT
7s75db80s6h	11	1	the	the	DET
7s75db80s6h	11	2	focus	focus	NOUN
7s75db80s6h	11	3	of	of	ADP
7s75db80s6h	11	4	this	this	DET
7s75db80s6h	11	5	dissertation	dissertation	NOUN
7s75db80s6h	11	6	is	be	AUX
7s75db80s6h	11	7	on	on	ADP
7s75db80s6h	11	8	improving	improve	VERB
7s75db80s6h	11	9	the	the	DET
7s75db80s6h	11	10	efficiency	efficiency	NOUN
7s75db80s6h	11	11	and	and	CCONJ
7s75db80s6h	11	12	applicability	applicability	NOUN
7s75db80s6h	11	13	of	of	ADP
7s75db80s6h	11	14	variable	variable	ADJ
7s75db80s6h	11	15	fidelity	fidelity	NOUN
7s75db80s6h	11	16	optimization	optimization	NOUN
7s75db80s6h	11	17	algorithms	algorithm	NOUN
7s75db80s6h	11	18	.	.	PUNCT
7s75db80s6h	12	1	highlights	highlight	NOUN
7s75db80s6h	12	2	of	of	ADP
7s75db80s6h	12	3	original	original	ADJ
7s75db80s6h	12	4	contributions	contribution	NOUN
7s75db80s6h	12	5	made	make	VERB
7s75db80s6h	12	6	in	in	ADP
7s75db80s6h	12	7	this	this	DET
7s75db80s6h	12	8	research	research	NOUN
7s75db80s6h	12	9	include	include	VERB
7s75db80s6h	12	10	:	:	PUNCT
7s75db80s6h	12	11	(	(	PUNCT
7s75db80s6h	12	12	1	1	X
7s75db80s6h	12	13	)	)	PUNCT
7s75db80s6h	12	14	an	an	DET
7s75db80s6h	12	15	adaptive	adaptive	ADJ
7s75db80s6h	12	16	hybrid	hybrid	NOUN
7s75db80s6h	12	17	scaling	scaling	NOUN
7s75db80s6h	12	18	method	method	NOUN
7s75db80s6h	12	19	that	that	PRON
7s75db80s6h	12	20	relieves	relieve	VERB
7s75db80s6h	12	21	designers	designer	NOUN
7s75db80s6h	12	22	from	from	ADP
7s75db80s6h	12	23	having	have	VERB
7s75db80s6h	12	24	to	to	PART
7s75db80s6h	12	25	choose	choose	VERB
7s75db80s6h	12	26	emph{a	emph{a	PROPN
7s75db80s6h	12	27	priori	priori	X
7s75db80s6h	12	28	}	}	PUNCT
7s75db80s6h	12	29	which	which	PRON
7s75db80s6h	12	30	scaling	scale	VERB
7s75db80s6h	12	31	method	method	NOUN
7s75db80s6h	12	32	,	,	PUNCT
7s75db80s6h	12	33	multiplicative	multiplicative	ADJ
7s75db80s6h	12	34	or	or	CCONJ
7s75db80s6h	12	35	additive	additive	ADJ
7s75db80s6h	12	36	,	,	PUNCT
7s75db80s6h	12	37	is	be	AUX
7s75db80s6h	12	38	most	most	ADV
7s75db80s6h	12	39	suitable	suitable	ADJ
7s75db80s6h	12	40	to	to	ADP
7s75db80s6h	12	41	their	their	PRON
7s75db80s6h	12	42	problem	problem	NOUN
7s75db80s6h	12	43	with	with	ADP
7s75db80s6h	12	44	limited	limited	ADJ
7s75db80s6h	12	45	information	information	NOUN
7s75db80s6h	12	46	.	.	PUNCT
7s75db80s6h	13	1	(	(	PUNCT
7s75db80s6h	13	2	2	2	X
7s75db80s6h	13	3	)	)	PUNCT
7s75db80s6h	13	4	second	second	ADJ
7s75db80s6h	13	5	order	order	NOUN
7s75db80s6h	13	6	scaling	scaling	NOUN
7s75db80s6h	13	7	methods	method	NOUN
7s75db80s6h	13	8	which	which	PRON
7s75db80s6h	13	9	use	use	VERB
7s75db80s6h	13	10	approximate	approximate	ADJ
7s75db80s6h	13	11	hessian	hessian	ADJ
7s75db80s6h	13	12	information	information	NOUN
7s75db80s6h	13	13	,	,	PUNCT
7s75db80s6h	13	14	resulting	result	VERB
7s75db80s6h	13	15	in	in	ADP
7s75db80s6h	13	16	super	super	ADJ
7s75db80s6h	13	17	-	-	ADJ
7s75db80s6h	13	18	linear	linear	ADJ
7s75db80s6h	13	19	convergence	convergence	NOUN
7s75db80s6h	13	20	rates	rate	NOUN
7s75db80s6h	13	21	.	.	PUNCT
7s75db80s6h	14	1	(	(	PUNCT
7s75db80s6h	14	2	3	3	X
7s75db80s6h	14	3	)	)	PUNCT
7s75db80s6h	14	4	a	a	DET
7s75db80s6h	14	5	kriging	krige	VERB
7s75db80s6h	14	6	-	-	PUNCT
7s75db80s6h	14	7	based	base	VERB
7s75db80s6h	14	8	global	global	ADJ
7s75db80s6h	14	9	scaling	scaling	NOUN
7s75db80s6h	14	10	method	method	NOUN
7s75db80s6h	14	11	,	,	PUNCT
7s75db80s6h	14	12	which	which	PRON
7s75db80s6h	14	13	uses	use	VERB
7s75db80s6h	14	14	past	past	ADJ
7s75db80s6h	14	15	design	design	NOUN
7s75db80s6h	14	16	information	information	NOUN
7s75db80s6h	14	17	to	to	PART
7s75db80s6h	14	18	improve	improve	VERB
7s75db80s6h	14	19	the	the	DET
7s75db80s6h	14	20	global	global	ADJ
7s75db80s6h	14	21	accuracy	accuracy	NOUN
7s75db80s6h	14	22	of	of	ADP
7s75db80s6h	14	23	the	the	DET
7s75db80s6h	14	24	scaling	scaling	NOUN
7s75db80s6h	14	25	model	model	NOUN
7s75db80s6h	14	26	and	and	CCONJ
7s75db80s6h	14	27	was	be	AUX
7s75db80s6h	14	28	shown	show	VERB
7s75db80s6h	14	29	to	to	PART
7s75db80s6h	14	30	reduce	reduce	VERB
7s75db80s6h	14	31	the	the	DET
7s75db80s6h	14	32	computational	computational	ADJ
7s75db80s6h	14	33	cost	cost	NOUN
7s75db80s6h	14	34	of	of	ADP
7s75db80s6h	14	35	optimization	optimization	NOUN
7s75db80s6h	14	36	by	by	ADP
7s75db80s6h	14	37	over	over	ADP
7s75db80s6h	14	38	60	60	NUM
7s75db80s6h	14	39	%	%	NOUN
7s75db80s6h	14	40	compared	compare	VERB
7s75db80s6h	14	41	to	to	ADP
7s75db80s6h	14	42	single	single	ADJ
7s75db80s6h	14	43	fidelity	fidelity	NOUN
7s75db80s6h	14	44	methods	method	NOUN
7s75db80s6h	14	45	.	.	PUNCT
7s75db80s6h	15	1	(	(	PUNCT
7s75db80s6h	15	2	4	4	X
7s75db80s6h	15	3	)	)	PUNCT
7s75db80s6h	15	4	a	a	DET
7s75db80s6h	15	5	metamodel	metamodel	NOUN
7s75db80s6h	15	6	update	update	NOUN
7s75db80s6h	15	7	management	management	NOUN
7s75db80s6h	15	8	strategy	strategy	NOUN
7s75db80s6h	15	9	to	to	PART
7s75db80s6h	15	10	reduce	reduce	VERB
7s75db80s6h	15	11	the	the	DET
7s75db80s6h	15	12	cost	cost	NOUN
7s75db80s6h	15	13	of	of	ADP
7s75db80s6h	15	14	using	use	VERB
7s75db80s6h	15	15	kriging	krige	VERB
7s75db80s6h	15	16	metamodels	metamodel	NOUN
7s75db80s6h	15	17	sequentially	sequentially	ADV
7s75db80s6h	15	18	in	in	ADP
7s75db80s6h	15	19	large	large	ADJ
7s75db80s6h	15	20	design	design	NOUN
7s75db80s6h	15	21	problems	problem	NOUN
7s75db80s6h	15	22	.	.	PUNCT
7s75db80s6h	16	1	(	(	PUNCT
7s75db80s6h	16	2	5	5	NUM
7s75db80s6h	16	3	)	)	PUNCT
7s75db80s6h	16	4	extension	extension	NOUN
7s75db80s6h	16	5	of	of	ADP
7s75db80s6h	16	6	the	the	DET
7s75db80s6h	16	7	variable	variable	ADJ
7s75db80s6h	16	8	fidelity	fidelity	NOUN
7s75db80s6h	16	9	framework	framework	NOUN
7s75db80s6h	16	10	to	to	PART
7s75db80s6h	16	11	solve	solve	VERB
7s75db80s6h	16	12	reliability	reliability	NOUN
7s75db80s6h	16	13	based	base	VERB
7s75db80s6h	16	14	design	design	NOUN
7s75db80s6h	16	15	problems	problem	NOUN
7s75db80s6h	16	16	,	,	PUNCT
7s75db80s6h	16	17	which	which	PRON
7s75db80s6h	16	18	significantly	significantly	ADV
7s75db80s6h	16	19	lowers	lower	VERB
7s75db80s6h	16	20	the	the	DET
7s75db80s6h	16	21	computational	computational	ADJ
7s75db80s6h	16	22	cost	cost	NOUN
7s75db80s6h	16	23	,	,	PUNCT
7s75db80s6h	16	24	compared	compare	VERB
7s75db80s6h	16	25	to	to	ADP
7s75db80s6h	16	26	traditional	traditional	ADJ
7s75db80s6h	16	27	methods	method	NOUN
7s75db80s6h	16	28	.	.	PUNCT