id	sid	tid	token	lemma	pos
ajst-10997	1	1	academic	academic	ADJ
ajst-10997	1	2	journal	journal	NOUN
ajst-10997	1	3	of	of	ADP
ajst-10997	1	4	science	science	NOUN
ajst-10997	1	5	and	and	CCONJ
ajst-10997	1	6	technology	technology	NOUN
ajst-10997	1	7	issn	issn	NOUN
ajst-10997	1	8	:	:	PUNCT
ajst-10997	1	9	2771	2771	NUM
ajst-10997	1	10	-	-	SYM
ajst-10997	1	11	3032	3032	NUM
ajst-10997	1	12	|	|	NOUN
ajst-10997	1	13	vol	vol	NOUN
ajst-10997	1	14	.	.	PROPN
ajst-10997	2	1	7	7	NUM
ajst-10997	2	2	,	,	PUNCT
ajst-10997	2	3	no	no	INTJ
ajst-10997	2	4	.	.	NOUN
ajst-10997	2	5	1	1	NUM
ajst-10997	2	6	,	,	PUNCT
ajst-10997	2	7	2023	2023	NUM
ajst-10997	2	8	90	90	NUM
ajst-10997	2	9	lithium	lithium	NOUN
ajst-10997	2	10	battery	battery	NOUN
ajst-10997	2	11	soc	soc	NOUN
ajst-10997	2	12	estimation	estimation	NOUN
ajst-10997	2	13	based	base	VERB
ajst-10997	2	14	on	on	ADP
ajst-10997	2	15	multi‐head	multi‐head	ADJ
ajst-10997	2	16	attention	attention	NOUN
ajst-10997	2	17	mechanism	mechanism	NOUN
ajst-10997	2	18	and	and	CCONJ
ajst-10997	2	19	gru	gru	NOUN
ajst-10997	2	20	algorithm	algorithm	PROPN
ajst-10997	2	21	xueguang	xueguang	PROPN
ajst-10997	3	1	li1	li1	PROPN
ajst-10997	3	2	,	,	PUNCT
ajst-10997	3	3	a	a	PRON
ajst-10997	3	4	,	,	PUNCT
ajst-10997	3	5	menchita	menchita	PROPN
ajst-10997	3	6	f.	f.	PROPN
ajst-10997	3	7	dumlao1	dumlao1	PROPN
ajst-10997	3	8	,	,	PUNCT
ajst-10997	3	9	2	2	NUM
ajst-10997	3	10	,	,	PUNCT
ajst-10997	3	11	3	3	NUM
ajst-10997	3	12	,	,	PUNCT
ajst-10997	3	13	*	*	PUNCT
ajst-10997	3	14	1	1	NUM
ajst-10997	3	15	graduate	graduate	NOUN
ajst-10997	3	16	school	school	NOUN
ajst-10997	3	17	,	,	PUNCT
ajst-10997	3	18	angeles	angeles	PROPN
ajst-10997	3	19	university	university	PROPN
ajst-10997	3	20	foundation	foundation	PROPN
ajst-10997	3	21	,	,	PUNCT
ajst-10997	3	22	angeles	angeles	PROPN
ajst-10997	3	23	,	,	PUNCT
ajst-10997	3	24	philippines	philippine	NOUN
ajst-10997	3	25	2	2	NUM
ajst-10997	3	26	graduate	graduate	NOUN
ajst-10997	3	27	school	school	NOUN
ajst-10997	3	28	,	,	PUNCT
ajst-10997	3	29	philippine	philippine	ADJ
ajst-10997	3	30	women	woman	NOUN
ajst-10997	3	31	's	's	PART
ajst-10997	3	32	university	university	NOUN
ajst-10997	3	33	,	,	PUNCT
ajst-10997	3	34	manila	manila	PROPN
ajst-10997	3	35	,	,	PUNCT
ajst-10997	3	36	philippines	philippine	NOUN
ajst-10997	3	37	3	3	NUM
ajst-10997	3	38	visiting	visit	VERB
ajst-10997	3	39	professor	professor	NOUN
ajst-10997	3	40	,	,	PUNCT
ajst-10997	3	41	graduate	graduate	NOUN
ajst-10997	3	42	school	school	NOUN
ajst-10997	3	43	,	,	PUNCT
ajst-10997	3	44	angeles	angeles	PROPN
ajst-10997	3	45	university	university	PROPN
ajst-10997	3	46	foundation	foundation	PROPN
ajst-10997	3	47	,	,	PUNCT
ajst-10997	3	48	angeles	angeles	PROPN
ajst-10997	3	49	,	,	PUNCT
ajst-10997	3	50	philippines	philippine	VERB
ajst-10997	3	51	a	a	DET
ajst-10997	3	52	li.xueguang@auf.edu.ph	li.xueguang@auf.edu.ph	PROPN
ajst-10997	3	53	,	,	PUNCT
ajst-10997	3	54	*	*	PUNCT
ajst-10997	3	55	corresponding	correspond	VERB
ajst-10997	3	56	author	author	NOUN
ajst-10997	3	57	:	:	PUNCT
ajst-10997	3	58	mfdumlao@pwu.edu.ph	mfdumlao@pwu.edu.ph	NOUN
ajst-10997	3	59	abstract	abstract	NOUN
ajst-10997	3	60	:	:	PUNCT
ajst-10997	3	61	pure	pure	ADJ
ajst-10997	3	62	electric	electric	ADJ
ajst-10997	3	63	vehicles	vehicle	NOUN
ajst-10997	3	64	have	have	AUX
ajst-10997	3	65	been	be	AUX
ajst-10997	3	66	widely	widely	ADV
ajst-10997	3	67	used	use	VERB
ajst-10997	3	68	due	due	ADP
ajst-10997	3	69	to	to	ADP
ajst-10997	3	70	their	their	PRON
ajst-10997	3	71	non	non	ADJ
ajst-10997	3	72	-	-	NOUN
ajst-10997	3	73	pollution	pollution	ADJ
ajst-10997	3	74	,	,	PUNCT
ajst-10997	3	75	low	low	ADJ
ajst-10997	3	76	noise	noise	NOUN
ajst-10997	3	77	,	,	PUNCT
ajst-10997	3	78	high	high	ADJ
ajst-10997	3	79	energy	energy	NOUN
ajst-10997	3	80	conversion	conversion	NOUN
ajst-10997	3	81	efficiency	efficiency	NOUN
ajst-10997	3	82	and	and	CCONJ
ajst-10997	3	83	other	other	ADJ
ajst-10997	3	84	advantages	advantage	NOUN
ajst-10997	3	85	.	.	PUNCT
ajst-10997	4	1	soc	soc	NOUN
ajst-10997	4	2	(	(	PUNCT
ajst-10997	4	3	state	state	NOUN
ajst-10997	4	4	of	of	ADP
ajst-10997	4	5	charge	charge	NOUN
ajst-10997	4	6	)	)	PUNCT
ajst-10997	4	7	is	be	AUX
ajst-10997	4	8	a	a	DET
ajst-10997	4	9	crucial	crucial	ADJ
ajst-10997	4	10	indicator	indicator	NOUN
ajst-10997	4	11	for	for	ADP
ajst-10997	4	12	lithium	lithium	NOUN
ajst-10997	4	13	batteries	battery	NOUN
ajst-10997	4	14	and	and	CCONJ
ajst-10997	4	15	pure	pure	ADJ
ajst-10997	4	16	electric	electric	ADJ
ajst-10997	4	17	vehicles	vehicle	NOUN
ajst-10997	4	18	.	.	PUNCT
ajst-10997	5	1	soc	soc	NOUN
ajst-10997	5	2	can	can	AUX
ajst-10997	5	3	not	not	PART
ajst-10997	5	4	be	be	AUX
ajst-10997	5	5	directly	directly	ADV
ajst-10997	5	6	measured	measure	VERB
ajst-10997	5	7	.	.	PUNCT
ajst-10997	6	1	this	this	DET
ajst-10997	6	2	article	article	NOUN
ajst-10997	6	3	designs	design	VERB
ajst-10997	6	4	a	a	DET
ajst-10997	6	5	new	new	ADJ
ajst-10997	6	6	network	network	NOUN
ajst-10997	6	7	structure	structure	NOUN
ajst-10997	6	8	.	.	PUNCT
ajst-10997	7	1	it	it	PRON
ajst-10997	7	2	is	be	AUX
ajst-10997	7	3	the	the	DET
ajst-10997	7	4	gru	gru	NOUN
ajst-10997	7	5	-	-	ADJ
ajst-10997	7	6	attention	attention	NOUN
ajst-10997	7	7	network	network	NOUN
ajst-10997	7	8	structure	structure	NOUN
ajst-10997	7	9	.	.	PUNCT
ajst-10997	8	1	the	the	DET
ajst-10997	8	2	stacked	stacked	PROPN
ajst-10997	8	3	gru	gru	PROPN
ajst-10997	8	4	algorithm	algorithm	NOUN
ajst-10997	8	5	in	in	ADP
ajst-10997	8	6	gru	gru	NOUN
ajst-10997	8	7	-	-	ADJ
ajst-10997	8	8	attention	attention	NOUN
ajst-10997	8	9	network	network	NOUN
ajst-10997	8	10	extracts	extract	NOUN
ajst-10997	8	11	the	the	DET
ajst-10997	8	12	temporal	temporal	ADJ
ajst-10997	8	13	characteristics	characteristic	NOUN
ajst-10997	8	14	of	of	ADP
ajst-10997	8	15	lithium	lithium	NOUN
ajst-10997	8	16	battery	battery	NOUN
ajst-10997	8	17	test	test	NOUN
ajst-10997	8	18	data	datum	NOUN
ajst-10997	8	19	,	,	PUNCT
ajst-10997	8	20	and	and	CCONJ
ajst-10997	8	21	the	the	DET
ajst-10997	8	22	stacked	stack	VERB
ajst-10997	8	23	multi	multi	ADJ
ajst-10997	8	24	-	-	ADJ
ajst-10997	8	25	head	head	ADJ
ajst-10997	8	26	self	self	NOUN
ajst-10997	8	27	-	-	PUNCT
ajst-10997	8	28	attention	attention	NOUN
ajst-10997	8	29	network	network	NOUN
ajst-10997	8	30	extracts	extract	VERB
ajst-10997	8	31	the	the	DET
ajst-10997	8	32	global	global	ADJ
ajst-10997	8	33	information	information	NOUN
ajst-10997	8	34	.	.	PUNCT
ajst-10997	9	1	the	the	DET
ajst-10997	9	2	gru	gru	NOUN
ajst-10997	9	3	-	-	ADJ
ajst-10997	9	4	attention	attention	NOUN
ajst-10997	9	5	network	network	NOUN
ajst-10997	9	6	can	can	AUX
ajst-10997	9	7	avoid	avoid	VERB
ajst-10997	9	8	long	long	ADJ
ajst-10997	9	9	-	-	PUNCT
ajst-10997	9	10	term	term	NOUN
ajst-10997	9	11	dependency	dependency	NOUN
ajst-10997	9	12	and	and	CCONJ
ajst-10997	9	13	gradient	gradient	ADJ
ajst-10997	9	14	disappearance	disappearance	NOUN
ajst-10997	9	15	problems	problem	NOUN
ajst-10997	9	16	.	.	PUNCT
ajst-10997	10	1	the	the	DET
ajst-10997	10	2	proposed	propose	VERB
ajst-10997	10	3	network	network	NOUN
ajst-10997	10	4	utilizes	utilize	VERB
ajst-10997	10	5	stacked	stack	VERB
ajst-10997	10	6	ffn	ffn	PROPN
ajst-10997	10	7	as	as	ADP
ajst-10997	10	8	the	the	DET
ajst-10997	10	9	dense	dense	ADJ
ajst-10997	10	10	layer	layer	NOUN
ajst-10997	10	11	.	.	PUNCT
ajst-10997	11	1	this	this	DET
ajst-10997	11	2	article	article	NOUN
ajst-10997	11	3	will	will	AUX
ajst-10997	11	4	test	test	VERB
ajst-10997	11	5	the	the	DET
ajst-10997	11	6	network	network	NOUN
ajst-10997	11	7	designed	design	VERB
ajst-10997	11	8	in	in	ADP
ajst-10997	11	9	the	the	DET
ajst-10997	11	10	public	public	ADJ
ajst-10997	11	11	data	datum	NOUN
ajst-10997	11	12	set	set	VERB
ajst-10997	11	13	at	at	ADP
ajst-10997	11	14	the	the	DET
ajst-10997	11	15	university	university	PROPN
ajst-10997	11	16	of	of	ADP
ajst-10997	11	17	maryland	maryland	PROPN
ajst-10997	11	18	.	.	PUNCT
ajst-10997	12	1	simultaneously	simultaneously	ADV
ajst-10997	12	2	,	,	PUNCT
ajst-10997	12	3	this	this	DET
ajst-10997	12	4	article	article	NOUN
ajst-10997	12	5	compares	compare	VERB
ajst-10997	12	6	the	the	DET
ajst-10997	12	7	effects	effect	NOUN
ajst-10997	12	8	of	of	ADP
ajst-10997	12	9	different	different	ADJ
ajst-10997	12	10	batchsize	batchsize	NOUN
ajst-10997	12	11	on	on	ADP
ajst-10997	12	12	the	the	DET
ajst-10997	12	13	performance	performance	NOUN
ajst-10997	12	14	of	of	ADP
ajst-10997	12	15	the	the	DET
ajst-10997	12	16	algorithm	algorithm	NOUN
ajst-10997	12	17	.	.	PUNCT
ajst-10997	13	1	the	the	DET
ajst-10997	13	2	network	network	NOUN
ajst-10997	13	3	training	training	NOUN
ajst-10997	13	4	process	process	NOUN
ajst-10997	13	5	converges	converge	VERB
ajst-10997	13	6	more	more	ADV
ajst-10997	13	7	effectively	effectively	ADV
ajst-10997	13	8	with	with	ADP
ajst-10997	13	9	a	a	DET
ajst-10997	13	10	smaller	small	ADJ
ajst-10997	13	11	batchsize	batchsize	NOUN
ajst-10997	13	12	.	.	PUNCT
ajst-10997	14	1	both	both	CCONJ
ajst-10997	14	2	too	too	ADV
ajst-10997	14	3	large	large	ADJ
ajst-10997	14	4	and	and	CCONJ
ajst-10997	14	5	too	too	ADV
ajst-10997	14	6	small	small	ADJ
ajst-10997	14	7	batchsize	batchsize	NOUN
ajst-10997	14	8	have	have	VERB
ajst-10997	14	9	a	a	DET
ajst-10997	14	10	negative	negative	ADJ
ajst-10997	14	11	impact	impact	NOUN
ajst-10997	14	12	on	on	ADP
ajst-10997	14	13	the	the	DET
ajst-10997	14	14	generalization	generalization	NOUN
ajst-10997	14	15	performance	performance	NOUN
ajst-10997	14	16	of	of	ADP
ajst-10997	14	17	the	the	DET
ajst-10997	14	18	network	network	NOUN
ajst-10997	14	19	.	.	PUNCT
ajst-10997	15	1	the	the	DET
ajst-10997	15	2	extraction	extraction	NOUN
ajst-10997	15	3	of	of	ADP
ajst-10997	15	4	the	the	DET
ajst-10997	15	5	time	time	NOUN
ajst-10997	15	6	-	-	PUNCT
ajst-10997	15	7	order	order	NOUN
ajst-10997	15	8	character	character	NOUN
ajst-10997	15	9	,	,	PUNCT
ajst-10997	15	10	however	however	ADV
ajst-10997	15	11	,	,	PUNCT
ajst-10997	15	12	may	may	AUX
ajst-10997	15	13	be	be	AUX
ajst-10997	15	14	hampered	hamper	VERB
ajst-10997	15	15	if	if	SCONJ
ajst-10997	15	16	the	the	DET
ajst-10997	15	17	timestamp	timestamp	NOUN
ajst-10997	15	18	is	be	AUX
ajst-10997	15	19	too	too	ADV
ajst-10997	15	20	small	small	ADJ
ajst-10997	15	21	.	.	PUNCT
ajst-10997	16	1	at	at	ADP
ajst-10997	16	2	the	the	DET
ajst-10997	16	3	same	same	ADJ
ajst-10997	16	4	time	time	NOUN
ajst-10997	16	5	,	,	PUNCT
ajst-10997	16	6	the	the	DET
ajst-10997	16	7	paper	paper	NOUN
ajst-10997	16	8	also	also	ADV
ajst-10997	16	9	compares	compare	VERB
ajst-10997	16	10	the	the	DET
ajst-10997	16	11	gru	gru	NOUN
ajst-10997	16	12	-	-	ADJ
ajst-10997	16	13	attention	attention	NOUN
ajst-10997	16	14	network	network	NOUN
ajst-10997	16	15	horizontally	horizontally	ADV
ajst-10997	16	16	with	with	ADP
ajst-10997	16	17	the	the	DET
ajst-10997	16	18	gru	gru	NOUN
ajst-10997	16	19	and	and	CCONJ
ajst-10997	16	20	attention	attention	NOUN
ajst-10997	16	21	networks	network	NOUN
ajst-10997	16	22	.	.	PUNCT
ajst-10997	17	1	eventually	eventually	ADV
ajst-10997	17	2	,	,	PUNCT
ajst-10997	17	3	the	the	DET
ajst-10997	17	4	gru	gru	NOUN
ajst-10997	17	5	-	-	ADJ
ajst-10997	17	6	attention	attention	NOUN
ajst-10997	17	7	network	network	NOUN
ajst-10997	17	8	proposed	propose	VERB
ajst-10997	17	9	in	in	ADP
ajst-10997	17	10	this	this	DET
ajst-10997	17	11	article	article	NOUN
ajst-10997	17	12	could	could	AUX
ajst-10997	17	13	better	well	ADV
ajst-10997	17	14	meet	meet	VERB
ajst-10997	17	15	the	the	DET
ajst-10997	17	16	estimate	estimate	NOUN
ajst-10997	17	17	of	of	ADP
ajst-10997	17	18	the	the	DET
ajst-10997	17	19	lithium	lithium	NOUN
ajst-10997	17	20	battery	battery	NOUN
ajst-10997	17	21	soc	soc	NOUN
ajst-10997	17	22	.	.	PUNCT
ajst-10997	18	1	keywords	keyword	NOUN
ajst-10997	18	2	:	:	PUNCT
ajst-10997	18	3	machine	machine	NOUN
ajst-10997	18	4	learning	learning	NOUN
ajst-10997	18	5	,	,	PUNCT
ajst-10997	18	6	lithium	lithium	NOUN
ajst-10997	18	7	battery	battery	NOUN
ajst-10997	18	8	,	,	PUNCT
ajst-10997	18	9	attention	attention	NOUN
ajst-10997	18	10	mechanisms	mechanism	NOUN
ajst-10997	18	11	,	,	PUNCT
ajst-10997	18	12	state	state	NOUN
ajst-10997	18	13	of	of	ADP
ajst-10997	18	14	charge	charge	NOUN
ajst-10997	18	15	,	,	PUNCT
ajst-10997	18	16	gru	gru	PROPN
ajst-10997	18	17	.	.	PROPN
ajst-10997	18	18	1	1	X
ajst-10997	18	19	.	.	X
ajst-10997	18	20	introduction	introduction	NOUN
ajst-10997	18	21	global	global	ADJ
ajst-10997	18	22	energy	energy	NOUN
ajst-10997	18	23	shortage[1	shortage[1	NOUN
ajst-10997	18	24	]	]	PUNCT
ajst-10997	18	25	and	and	CCONJ
ajst-10997	18	26	environmental	environmental	ADJ
ajst-10997	18	27	problems	problem	NOUN
ajst-10997	18	28	have	have	AUX
ajst-10997	18	29	become	become	VERB
ajst-10997	18	30	urgent	urgent	ADJ
ajst-10997	18	31	research	research	NOUN
ajst-10997	18	32	hotspots	hotspot	NOUN
ajst-10997	18	33	.	.	PUNCT
ajst-10997	19	1	conventional	conventional	ADJ
ajst-10997	19	2	fuelpowered	fuelpowere	VERB
ajst-10997	19	3	vehicles	vehicle	NOUN
ajst-10997	19	4	are	be	AUX
ajst-10997	19	5	fueled	fuel	VERB
ajst-10997	19	6	by	by	ADP
ajst-10997	19	7	fossil	fossil	ADJ
ajst-10997	19	8	fuels	fuel	NOUN
ajst-10997	19	9	.	.	PUNCT
ajst-10997	20	1	it	it	PRON
ajst-10997	20	2	is	be	AUX
ajst-10997	20	3	not	not	PART
ajst-10997	20	4	only	only	ADV
ajst-10997	20	5	a	a	DET
ajst-10997	20	6	non	non	ADJ
ajst-10997	20	7	-	-	ADJ
ajst-10997	20	8	renewable	renewable	ADJ
ajst-10997	20	9	resource	resource	NOUN
ajst-10997	20	10	,	,	PUNCT
ajst-10997	20	11	and	and	CCONJ
ajst-10997	20	12	the	the	DET
ajst-10997	20	13	exhaust	exhaust	NOUN
ajst-10997	20	14	gas	gas	NOUN
ajst-10997	20	15	is	be	AUX
ajst-10997	20	16	polluting	pollute	VERB
ajst-10997	20	17	the	the	DET
ajst-10997	20	18	environment	environment	NOUN
ajst-10997	20	19	.	.	PUNCT
ajst-10997	21	1	the	the	DET
ajst-10997	21	2	carbon	carbon	NOUN
ajst-10997	21	3	dioxide	dioxide	NOUN
ajst-10997	21	4	emissions	emission	NOUN
ajst-10997	21	5	will	will	AUX
ajst-10997	21	6	also	also	ADV
ajst-10997	21	7	bring	bring	VERB
ajst-10997	21	8	a	a	DET
ajst-10997	21	9	greenhouse	greenhouse	NOUN
ajst-10997	21	10	effect	effect	NOUN
ajst-10997	21	11	.	.	PUNCT
ajst-10997	22	1	pure	pure	ADJ
ajst-10997	22	2	electric	electric	PROPN
ajst-10997	22	3	vehicles[2	vehicles[2	PROPN
ajst-10997	22	4	]	]	PUNCT
ajst-10997	22	5	have	have	AUX
ajst-10997	22	6	been	be	AUX
ajst-10997	22	7	widely	widely	ADV
ajst-10997	22	8	used	use	VERB
ajst-10997	22	9	because	because	SCONJ
ajst-10997	22	10	of	of	ADP
ajst-10997	22	11	their	their	PRON
ajst-10997	22	12	pollution	pollution	NOUN
ajst-10997	22	13	-	-	PUNCT
ajst-10997	22	14	free	free	ADJ
ajst-10997	22	15	,	,	PUNCT
ajst-10997	22	16	low	low	ADJ
ajst-10997	22	17	-	-	PUNCT
ajst-10997	22	18	noise	noise	NOUN
ajst-10997	22	19	,	,	PUNCT
ajst-10997	22	20	high	high	ADJ
ajst-10997	22	21	energy	energy	NOUN
ajst-10997	22	22	conversion	conversion	NOUN
ajst-10997	22	23	efficiency[3	efficiency[3	PROPN
ajst-10997	22	24	]	]	NOUN
ajst-10997	22	25	,	,	PUNCT
ajst-10997	22	26	simple	simple	ADJ
ajst-10997	22	27	structure	structure	NOUN
ajst-10997	22	28	,	,	PUNCT
ajst-10997	22	29	and	and	CCONJ
ajst-10997	22	30	easy	easy	ADJ
ajst-10997	22	31	maintenance	maintenance	NOUN
ajst-10997	22	32	.	.	PUNCT
ajst-10997	23	1	lithium	lithium	NOUN
ajst-10997	23	2	battery[4	battery[4	PROPN
ajst-10997	23	3	]	]	X
ajst-10997	23	4	is	be	AUX
ajst-10997	23	5	the	the	DET
ajst-10997	23	6	main	main	ADJ
ajst-10997	23	7	component	component	NOUN
ajst-10997	23	8	of	of	ADP
ajst-10997	23	9	pure	pure	ADJ
ajst-10997	23	10	electric	electric	ADJ
ajst-10997	23	11	vehicles	vehicle	NOUN
ajst-10997	23	12	.	.	PUNCT
ajst-10997	24	1	it	it	PRON
ajst-10997	24	2	accounts	account	VERB
ajst-10997	24	3	for	for	ADP
ajst-10997	24	4	a	a	DET
ajst-10997	24	5	third	third	NOUN
ajst-10997	24	6	of	of	ADP
ajst-10997	24	7	the	the	DET
ajst-10997	24	8	total	total	ADJ
ajst-10997	24	9	price	price	NOUN
ajst-10997	24	10	of	of	ADP
ajst-10997	24	11	an	an	DET
ajst-10997	24	12	electric	electric	ADJ
ajst-10997	24	13	car	car	NOUN
ajst-10997	24	14	.	.	PUNCT
ajst-10997	25	1	therefore	therefore	ADV
ajst-10997	25	2	,	,	PUNCT
ajst-10997	25	3	the	the	DET
ajst-10997	25	4	safety	safety	NOUN
ajst-10997	25	5	and	and	CCONJ
ajst-10997	25	6	performance	performance	NOUN
ajst-10997	25	7	of	of	ADP
ajst-10997	25	8	lithium	lithium	NOUN
ajst-10997	25	9	batteries	battery	NOUN
ajst-10997	25	10	directly	directly	ADV
ajst-10997	25	11	determine	determine	VERB
ajst-10997	25	12	the	the	DET
ajst-10997	25	13	performance	performance	NOUN
ajst-10997	25	14	and	and	CCONJ
ajst-10997	25	15	safety	safety	NOUN
ajst-10997	25	16	of	of	ADP
ajst-10997	25	17	pure	pure	ADJ
ajst-10997	25	18	electric	electric	ADJ
ajst-10997	25	19	vehicles	vehicle	NOUN
ajst-10997	25	20	.	.	PUNCT
ajst-10997	26	1	soc	soc	NOUN
ajst-10997	26	2	is	be	AUX
ajst-10997	26	3	a	a	DET
ajst-10997	26	4	key	key	ADJ
ajst-10997	26	5	indicator	indicator	NOUN
ajst-10997	26	6	of	of	ADP
ajst-10997	26	7	lithium	lithium	NOUN
ajst-10997	26	8	batteries	battery	NOUN
ajst-10997	26	9	.	.	PUNCT
ajst-10997	27	1	it	it	PRON
ajst-10997	27	2	determines	determine	VERB
ajst-10997	27	3	the	the	DET
ajst-10997	27	4	driving	drive	VERB
ajst-10997	27	5	range	range	NOUN
ajst-10997	27	6	of	of	ADP
ajst-10997	27	7	the	the	DET
ajst-10997	27	8	lithium	lithium	NOUN
ajst-10997	27	9	battery	battery	NOUN
ajst-10997	27	10	.	.	PUNCT
ajst-10997	28	1	at	at	ADP
ajst-10997	28	2	the	the	DET
ajst-10997	28	3	same	same	ADJ
ajst-10997	28	4	time	time	NOUN
ajst-10997	28	5	,	,	PUNCT
ajst-10997	28	6	it	it	PRON
ajst-10997	28	7	is	be	AUX
ajst-10997	28	8	the	the	DET
ajst-10997	28	9	basic	basic	ADJ
ajst-10997	28	10	parameter	parameter	NOUN
ajst-10997	28	11	of	of	ADP
ajst-10997	28	12	soh[5	soh[5	NOUN
ajst-10997	28	13	,	,	PUNCT
ajst-10997	28	14	6	6	NUM
ajst-10997	28	15	]	]	PUNCT
ajst-10997	28	16	,	,	PUNCT
ajst-10997	28	17	soe	soe	PROPN
ajst-10997	28	18	,	,	PUNCT
ajst-10997	28	19	rul	rul	NOUN
ajst-10997	28	20	and	and	CCONJ
ajst-10997	28	21	other	other	ADJ
ajst-10997	28	22	indicators	indicator	NOUN
ajst-10997	28	23	.	.	PUNCT
ajst-10997	29	1	therefore	therefore	ADV
ajst-10997	29	2	,	,	PUNCT
ajst-10997	29	3	its	its	PRON
ajst-10997	29	4	accurate	accurate	ADJ
ajst-10997	29	5	estimation	estimation	NOUN
ajst-10997	29	6	plays	play	VERB
ajst-10997	29	7	a	a	DET
ajst-10997	29	8	very	very	ADV
ajst-10997	29	9	important	important	ADJ
ajst-10997	29	10	role	role	NOUN
ajst-10997	29	11	in	in	ADP
ajst-10997	29	12	the	the	DET
ajst-10997	29	13	performance	performance	NOUN
ajst-10997	29	14	and	and	CCONJ
ajst-10997	29	15	safety	safety	NOUN
ajst-10997	29	16	of	of	ADP
ajst-10997	29	17	lithium	lithium	NOUN
ajst-10997	29	18	batteries	battery	NOUN
ajst-10997	29	19	.	.	PUNCT
ajst-10997	30	1	however	however	ADV
ajst-10997	30	2	,	,	PUNCT
ajst-10997	30	3	the	the	DET
ajst-10997	30	4	soc	soc	NOUN
ajst-10997	30	5	of	of	ADP
ajst-10997	30	6	lithium	lithium	NOUN
ajst-10997	30	7	batteries	battery	NOUN
ajst-10997	30	8	can	can	AUX
ajst-10997	30	9	not	not	PART
ajst-10997	30	10	be	be	AUX
ajst-10997	30	11	measured	measure	VERB
ajst-10997	30	12	directly	directly	ADV
ajst-10997	30	13	.	.	PUNCT
ajst-10997	31	1	in	in	ADP
ajst-10997	31	2	the	the	DET
ajst-10997	31	3	process	process	NOUN
ajst-10997	31	4	of	of	ADP
ajst-10997	31	5	charging	charging	NOUN
ajst-10997	31	6	,	,	PUNCT
ajst-10997	31	7	lithium	lithium	NOUN
ajst-10997	31	8	batteries	battery	NOUN
ajst-10997	31	9	convert	convert	VERB
ajst-10997	31	10	electrical	electrical	ADJ
ajst-10997	31	11	energy	energy	NOUN
ajst-10997	31	12	into	into	ADP
ajst-10997	31	13	chemical	chemical	ADJ
ajst-10997	31	14	energy	energy	NOUN
ajst-10997	31	15	.	.	PUNCT
ajst-10997	32	1	during	during	ADP
ajst-10997	32	2	discharge[7	discharge[7	PROPN
ajst-10997	32	3	]	]	PUNCT
ajst-10997	32	4	,	,	PUNCT
ajst-10997	32	5	lithium	lithium	NOUN
ajst-10997	32	6	batteries	battery	NOUN
ajst-10997	32	7	convert	convert	VERB
ajst-10997	32	8	chemical	chemical	ADJ
ajst-10997	32	9	energy	energy	NOUN
ajst-10997	32	10	into	into	ADP
ajst-10997	32	11	electrical	electrical	ADJ
ajst-10997	32	12	energy	energy	NOUN
ajst-10997	32	13	.	.	PUNCT
ajst-10997	33	1	and	and	CCONJ
ajst-10997	33	2	in	in	ADP
ajst-10997	33	3	the	the	DET
ajst-10997	33	4	static	static	ADJ
ajst-10997	33	5	process	process	NOUN
ajst-10997	33	6	,	,	PUNCT
ajst-10997	33	7	the	the	DET
ajst-10997	33	8	lithium	lithium	NOUN
ajst-10997	33	9	battery	battery	NOUN
ajst-10997	33	10	itself	itself	PRON
ajst-10997	33	11	has	have	VERB
ajst-10997	33	12	a	a	DET
ajst-10997	33	13	selfdischarge	selfdischarge	ADJ
ajst-10997	33	14	effect	effect	NOUN
ajst-10997	33	15	.	.	PUNCT
ajst-10997	34	1	all	all	DET
ajst-10997	34	2	these	these	DET
ajst-10997	34	3	characteristics	characteristic	NOUN
ajst-10997	34	4	lead	lead	VERB
ajst-10997	34	5	to	to	ADP
ajst-10997	34	6	the	the	DET
ajst-10997	34	7	difficulty	difficulty	NOUN
ajst-10997	34	8	in	in	ADP
ajst-10997	34	9	estimating	estimate	VERB
ajst-10997	34	10	the	the	DET
ajst-10997	34	11	soc	soc	NOUN
ajst-10997	34	12	of	of	ADP
ajst-10997	34	13	lithium	lithium	NOUN
ajst-10997	34	14	batteries	battery	NOUN
ajst-10997	34	15	.	.	PUNCT
ajst-10997	35	1	the	the	DET
ajst-10997	35	2	only	only	ADJ
ajst-10997	35	3	parameters	parameter	NOUN
ajst-10997	35	4	that	that	PRON
ajst-10997	35	5	can	can	AUX
ajst-10997	35	6	be	be	AUX
ajst-10997	35	7	measured	measure	VERB
ajst-10997	35	8	directly	directly	ADV
ajst-10997	35	9	are	be	AUX
ajst-10997	35	10	current	current	ADJ
ajst-10997	35	11	,	,	PUNCT
ajst-10997	35	12	voltage	voltage	NOUN
ajst-10997	35	13	,	,	PUNCT
ajst-10997	35	14	temperature	temperature	NOUN
ajst-10997	35	15	,	,	PUNCT
ajst-10997	35	16	internal	internal	ADJ
ajst-10997	35	17	resistance	resistance	NOUN
ajst-10997	35	18	,	,	PUNCT
ajst-10997	35	19	and	and	CCONJ
ajst-10997	35	20	open	open	ADJ
ajst-10997	35	21	circuit	circuit	NOUN
ajst-10997	35	22	voltage	voltage	NOUN
ajst-10997	35	23	.	.	PUNCT
ajst-10997	36	1	this	this	PRON
ajst-10997	36	2	brings	bring	VERB
ajst-10997	36	3	great	great	ADJ
ajst-10997	36	4	difficulty	difficulty	NOUN
ajst-10997	36	5	to	to	ADP
ajst-10997	36	6	the	the	DET
ajst-10997	36	7	accurate	accurate	ADJ
ajst-10997	36	8	estimation	estimation	NOUN
ajst-10997	36	9	of	of	ADP
ajst-10997	36	10	soc	soc	NOUN
ajst-10997	36	11	.	.	PUNCT
ajst-10997	37	1	however	however	ADV
ajst-10997	37	2	,	,	PUNCT
ajst-10997	37	3	the	the	DET
ajst-10997	37	4	accurate	accurate	ADJ
ajst-10997	37	5	estimation	estimation	NOUN
ajst-10997	37	6	of	of	ADP
ajst-10997	37	7	soc	soc	NOUN
ajst-10997	37	8	directly	directly	ADV
ajst-10997	37	9	determines	determine	VERB
ajst-10997	37	10	the	the	DET
ajst-10997	37	11	performance	performance	NOUN
ajst-10997	37	12	of	of	ADP
ajst-10997	37	13	lithium	lithium	NOUN
ajst-10997	37	14	battery	battery	NOUN
ajst-10997	37	15	and	and	CCONJ
ajst-10997	37	16	the	the	DET
ajst-10997	37	17	safety	safety	NOUN
ajst-10997	37	18	of	of	ADP
ajst-10997	37	19	lithium	lithium	NOUN
ajst-10997	37	20	battery	battery	NOUN
ajst-10997	37	21	.	.	PUNCT
ajst-10997	38	1	the	the	DET
ajst-10997	38	2	performance	performance	NOUN
ajst-10997	38	3	and	and	CCONJ
ajst-10997	38	4	safety	safety	NOUN
ajst-10997	38	5	of	of	ADP
ajst-10997	38	6	lithium	lithium	NOUN
ajst-10997	38	7	batteries	battery	NOUN
ajst-10997	38	8	directly	directly	ADV
ajst-10997	38	9	determine	determine	VERB
ajst-10997	38	10	the	the	DET
ajst-10997	38	11	driving	drive	VERB
ajst-10997	38	12	range	range	NOUN
ajst-10997	38	13	of	of	ADP
ajst-10997	38	14	pure	pure	ADJ
ajst-10997	38	15	electric	electric	ADJ
ajst-10997	38	16	vehicles	vehicle	NOUN
ajst-10997	38	17	and	and	CCONJ
ajst-10997	38	18	the	the	DET
ajst-10997	38	19	safety	safety	NOUN
ajst-10997	38	20	of	of	ADP
ajst-10997	38	21	pure	pure	ADJ
ajst-10997	38	22	electric	electric	ADJ
ajst-10997	38	23	vehicles	vehicle	NOUN
ajst-10997	38	24	.	.	PUNCT
ajst-10997	39	1	if	if	SCONJ
ajst-10997	39	2	the	the	DET
ajst-10997	39	3	soc	soc	NOUN
ajst-10997	39	4	of	of	ADP
ajst-10997	39	5	lithium	lithium	NOUN
ajst-10997	39	6	battery	battery	NOUN
ajst-10997	39	7	can	can	AUX
ajst-10997	39	8	not	not	PART
ajst-10997	39	9	be	be	AUX
ajst-10997	39	10	accurately	accurately	ADV
ajst-10997	39	11	estimated	estimate	VERB
ajst-10997	39	12	,	,	PUNCT
ajst-10997	39	13	it	it	PRON
ajst-10997	39	14	will	will	AUX
ajst-10997	39	15	increase	increase	VERB
ajst-10997	39	16	the	the	DET
ajst-10997	39	17	risk	risk	NOUN
ajst-10997	39	18	of	of	ADP
ajst-10997	39	19	safety	safety	NOUN
ajst-10997	39	20	accidents	accident	NOUN
ajst-10997	39	21	in	in	ADP
ajst-10997	39	22	pure	pure	ADJ
ajst-10997	39	23	electric	electric	ADJ
ajst-10997	39	24	vehicles	vehicle	NOUN
ajst-10997	39	25	.	.	PUNCT
ajst-10997	40	1	the	the	DET
ajst-10997	40	2	inaccuracy	inaccuracy	NOUN
ajst-10997	40	3	of	of	ADP
ajst-10997	40	4	soc	soc	NOUN
ajst-10997	40	5	estimation	estimation	NOUN
ajst-10997	40	6	will	will	AUX
ajst-10997	40	7	have	have	VERB
ajst-10997	40	8	a	a	DET
ajst-10997	40	9	great	great	ADJ
ajst-10997	40	10	impact	impact	NOUN
ajst-10997	40	11	on	on	ADP
ajst-10997	40	12	thermal	thermal	ADJ
ajst-10997	40	13	management	management	NOUN
ajst-10997	40	14	and	and	CCONJ
ajst-10997	40	15	over	over	ADP
ajst-10997	40	16	-	-	PUNCT
ajst-10997	40	17	discharge	discharge	VERB
ajst-10997	40	18	protection[8	protection[8	NOUN
ajst-10997	40	19	,	,	PUNCT
ajst-10997	40	20	9	9	NUM
ajst-10997	40	21	]	]	PUNCT
ajst-10997	40	22	.	.	PUNCT
ajst-10997	41	1	these	these	DET
ajst-10997	41	2	two	two	NUM
ajst-10997	41	3	are	be	AUX
ajst-10997	41	4	the	the	DET
ajst-10997	41	5	two	two	NUM
ajst-10997	41	6	biggest	big	ADJ
ajst-10997	41	7	causes	cause	NOUN
ajst-10997	41	8	of	of	ADP
ajst-10997	41	9	safety	safety	NOUN
ajst-10997	41	10	accidents	accident	NOUN
ajst-10997	41	11	of	of	ADP
ajst-10997	41	12	pure	pure	ADJ
ajst-10997	41	13	electric	electric	ADJ
ajst-10997	41	14	vehicles	vehicle	NOUN
ajst-10997	41	15	.	.	PUNCT
ajst-10997	42	1	the	the	DET
ajst-10997	42	2	occurrence	occurrence	NOUN
ajst-10997	42	3	of	of	ADP
ajst-10997	42	4	pure	pure	ADJ
ajst-10997	42	5	electric	electric	ADJ
ajst-10997	42	6	vehicle	vehicle	NOUN
ajst-10997	42	7	accidents	accident	NOUN
ajst-10997	42	8	will	will	AUX
ajst-10997	42	9	not	not	PART
ajst-10997	42	10	only	only	ADV
ajst-10997	42	11	bring	bring	VERB
ajst-10997	42	12	property	property	NOUN
ajst-10997	42	13	losses	loss	NOUN
ajst-10997	42	14	,	,	PUNCT
ajst-10997	42	15	but	but	CCONJ
ajst-10997	42	16	also	also	ADV
ajst-10997	42	17	bring	bring	VERB
ajst-10997	42	18	people	people	NOUN
ajst-10997	42	19	's	's	PART
ajst-10997	42	20	lives	life	NOUN
ajst-10997	42	21	.	.	PUNCT
ajst-10997	43	1	in	in	ADP
ajst-10997	43	2	view	view	NOUN
ajst-10997	43	3	of	of	ADP
ajst-10997	43	4	the	the	DET
ajst-10997	43	5	importance	importance	NOUN
ajst-10997	43	6	of	of	ADP
ajst-10997	43	7	soc	soc	NOUN
ajst-10997	43	8	and	and	CCONJ
ajst-10997	43	9	the	the	DET
ajst-10997	43	10	difficulty	difficulty	NOUN
ajst-10997	43	11	of	of	ADP
ajst-10997	43	12	estimation	estimation	NOUN
ajst-10997	43	13	,	,	PUNCT
ajst-10997	43	14	researchers	researcher	NOUN
ajst-10997	43	15	all	all	ADV
ajst-10997	43	16	over	over	ADP
ajst-10997	43	17	the	the	DET
ajst-10997	43	18	world	world	NOUN
ajst-10997	43	19	are	be	AUX
ajst-10997	43	20	interested	interested	ADJ
ajst-10997	43	21	in	in	ADP
ajst-10997	43	22	this	this	DET
ajst-10997	43	23	direction	direction	NOUN
ajst-10997	43	24	.	.	PUNCT
ajst-10997	44	1	at	at	ADP
ajst-10997	44	2	present	present	ADJ
ajst-10997	44	3	,	,	PUNCT
ajst-10997	44	4	the	the	DET
ajst-10997	44	5	research	research	NOUN
ajst-10997	44	6	on	on	ADP
ajst-10997	44	7	lithium	lithium	NOUN
ajst-10997	44	8	battery	battery	NOUN
ajst-10997	44	9	soc	soc	NOUN
ajst-10997	44	10	estimation	estimation	NOUN
ajst-10997	44	11	is	be	AUX
ajst-10997	44	12	a	a	DET
ajst-10997	44	13	very	very	ADV
ajst-10997	44	14	popular	popular	ADJ
ajst-10997	44	15	direction	direction	NOUN
ajst-10997	44	16	.	.	PUNCT
ajst-10997	45	1	researchers	researcher	NOUN
ajst-10997	45	2	all	all	ADV
ajst-10997	45	3	over	over	ADP
ajst-10997	45	4	the	the	DET
ajst-10997	45	5	world	world	NOUN
ajst-10997	45	6	have	have	AUX
ajst-10997	45	7	carried	carry	VERB
ajst-10997	45	8	out	out	ADP
ajst-10997	45	9	more	more	ADV
ajst-10997	45	10	in	in	ADP
ajst-10997	45	11	-	-	PUNCT
ajst-10997	45	12	depth	depth	NOUN
ajst-10997	45	13	research	research	NOUN
ajst-10997	45	14	on	on	ADP
ajst-10997	45	15	this	this	DET
ajst-10997	45	16	aspect	aspect	NOUN
ajst-10997	45	17	.	.	PUNCT
ajst-10997	46	1	there	there	PRON
ajst-10997	46	2	are	be	VERB
ajst-10997	46	3	three	three	NUM
ajst-10997	46	4	main	main	ADJ
ajst-10997	46	5	directions	direction	NOUN
ajst-10997	46	6	to	to	PART
ajst-10997	46	7	study	study	VERB
ajst-10997	46	8	the	the	DET
ajst-10997	46	9	estimation	estimation	NOUN
ajst-10997	46	10	of	of	ADP
ajst-10997	46	11	soc	soc	NOUN
ajst-10997	46	12	in	in	ADP
ajst-10997	46	13	lithium	lithium	NOUN
ajst-10997	46	14	batteries	battery	NOUN
ajst-10997	46	15	.	.	PUNCT
ajst-10997	47	1	the	the	DET
ajst-10997	47	2	first	first	ADJ
ajst-10997	47	3	direction	direction	NOUN
ajst-10997	47	4	is	be	AUX
ajst-10997	47	5	based	base	VERB
ajst-10997	47	6	on	on	ADP
ajst-10997	47	7	the	the	DET
ajst-10997	47	8	simple	simple	ADJ
ajst-10997	47	9	measurement	measurement	NOUN
ajst-10997	47	10	method	method	NOUN
ajst-10997	47	11	.	.	PUNCT
ajst-10997	48	1	the	the	DET
ajst-10997	48	2	main	main	ADJ
ajst-10997	48	3	basis	basis	NOUN
ajst-10997	48	4	of	of	ADP
ajst-10997	48	5	this	this	DET
ajst-10997	48	6	method	method	NOUN
ajst-10997	48	7	is	be	AUX
ajst-10997	48	8	that	that	SCONJ
ajst-10997	48	9	there	there	PRON
ajst-10997	48	10	is	be	VERB
ajst-10997	48	11	a	a	DET
ajst-10997	48	12	very	very	ADV
ajst-10997	48	13	large	large	ADJ
ajst-10997	48	14	positive	positive	ADJ
ajst-10997	48	15	correlation	correlation	NOUN
ajst-10997	48	16	between	between	ADP
ajst-10997	48	17	soc	soc	NOUN
ajst-10997	48	18	and	and	CCONJ
ajst-10997	48	19	open	open	ADJ
ajst-10997	48	20	circuit	circuit	NOUN
ajst-10997	48	21	voltage	voltage	NOUN
ajst-10997	48	22	of	of	ADP
ajst-10997	48	23	lithium	lithium	NOUN
ajst-10997	48	24	batteries	battery	NOUN
ajst-10997	48	25	.	.	PUNCT
ajst-10997	49	1	and	and	CCONJ
ajst-10997	49	2	with	with	ADP
ajst-10997	49	3	the	the	DET
ajst-10997	49	4	discharge	discharge	NOUN
ajst-10997	49	5	process	process	NOUN
ajst-10997	49	6	of	of	ADP
ajst-10997	49	7	the	the	DET
ajst-10997	49	8	car	car	NOUN
ajst-10997	49	9	driving	driving	NOUN
ajst-10997	49	10	process	process	NOUN
ajst-10997	49	11	,	,	PUNCT
ajst-10997	49	12	the	the	DET
ajst-10997	49	13	current	current	NOUN
ajst-10997	49	14	will	will	AUX
ajst-10997	49	15	continue	continue	VERB
ajst-10997	49	16	to	to	PART
ajst-10997	49	17	discharge	discharge	VERB
ajst-10997	49	18	,	,	PUNCT
ajst-10997	49	19	the	the	DET
ajst-10997	49	20	integral	integral	NOUN
ajst-10997	49	21	of	of	ADP
ajst-10997	49	22	the	the	DET
ajst-10997	49	23	current	current	ADJ
ajst-10997	49	24	discharge	discharge	NOUN
ajst-10997	49	25	over	over	ADP
ajst-10997	49	26	time	time	NOUN
ajst-10997	49	27	is	be	AUX
ajst-10997	49	28	the	the	DET
ajst-10997	49	29	amount	amount	NOUN
ajst-10997	49	30	of	of	ADP
ajst-10997	49	31	electricity	electricity	NOUN
ajst-10997	49	32	released	release	VERB
ajst-10997	49	33	.	.	PUNCT
ajst-10997	50	1	in	in	ADP
ajst-10997	50	2	this	this	DET
ajst-10997	50	3	way	way	NOUN
ajst-10997	50	4	,	,	PUNCT
ajst-10997	50	5	soc	soc	NOUN
ajst-10997	50	6	can	can	AUX
ajst-10997	50	7	be	be	AUX
ajst-10997	50	8	measured	measure	VERB
ajst-10997	50	9	by	by	ADP
ajst-10997	50	10	ocv[7	ocv[7	NUM
ajst-10997	50	11	,	,	PUNCT
ajst-10997	50	12	10	10	NUM
ajst-10997	50	13	]	]	PUNCT
ajst-10997	50	14	and	and	CCONJ
ajst-10997	50	15	ampere	ampere	ADJ
ajst-10997	50	16	-	-	PUNCT
ajst-10997	50	17	hour	hour	NOUN
ajst-10997	50	18	integration	integration	NOUN
ajst-10997	50	19	method	method	NOUN
ajst-10997	50	20	.	.	PUNCT
ajst-10997	51	1	however	however	ADV
ajst-10997	51	2	,	,	PUNCT
ajst-10997	51	3	the	the	DET
ajst-10997	51	4	disadvantages	disadvantage	NOUN
ajst-10997	51	5	of	of	ADP
ajst-10997	51	6	this	this	DET
ajst-10997	51	7	method	method	NOUN
ajst-10997	51	8	are	be	AUX
ajst-10997	51	9	also	also	ADV
ajst-10997	51	10	very	very	ADV
ajst-10997	51	11	obvious	obvious	ADJ
ajst-10997	51	12	.	.	PUNCT
ajst-10997	52	1	first	first	ADV
ajst-10997	52	2	,	,	PUNCT
ajst-10997	52	3	the	the	DET
ajst-10997	52	4	open	open	ADJ
ajst-10997	52	5	-	-	PUNCT
ajst-10997	52	6	circuit	circuit	NOUN
ajst-10997	52	7	voltage	voltage	NOUN
ajst-10997	52	8	measurement	measurement	NOUN
ajst-10997	52	9	itself	itself	PRON
ajst-10997	52	10	is	be	AUX
ajst-10997	52	11	very	very	ADV
ajst-10997	52	12	difficult	difficult	ADJ
ajst-10997	52	13	.	.	PUNCT
ajst-10997	53	1	only	only	ADV
ajst-10997	53	2	very	very	ADV
ajst-10997	53	3	specialized	specialized	ADJ
ajst-10997	53	4	research	research	NOUN
ajst-10997	53	5	institutions	institution	NOUN
ajst-10997	53	6	can	can	AUX
ajst-10997	53	7	measure	measure	VERB
ajst-10997	53	8	it	it	PRON
ajst-10997	53	9	.	.	PUNCT
ajst-10997	54	1	number	number	NOUN
ajst-10997	54	2	two	two	NUM
ajst-10997	54	3	.	.	PUNCT
ajst-10997	55	1	the	the	DET
ajst-10997	55	2	process	process	NOUN
ajst-10997	55	3	of	of	ADP
ajst-10997	55	4	open	open	ADJ
ajst-10997	55	5	circuit	circuit	NOUN
ajst-10997	55	6	voltage	voltage	NOUN
ajst-10997	55	7	measurement	measurement	NOUN
ajst-10997	55	8	itself	itself	PRON
ajst-10997	55	9	is	be	AUX
ajst-10997	55	10	time	time	NOUN
ajst-10997	55	11	-	-	PUNCT
ajst-10997	55	12	consuming	consume	VERB
ajst-10997	55	13	.	.	PUNCT
ajst-10997	56	1	each	each	DET
ajst-10997	56	2	short	short	ADJ
ajst-10997	56	3	discharge	discharge	NOUN
ajst-10997	56	4	requires	require	VERB
ajst-10997	56	5	2	2	NUM
ajst-10997	56	6	hours	hour	NOUN
ajst-10997	56	7	of	of	ADP
ajst-10997	56	8	standing	standing	NOUN
ajst-10997	56	9	before	before	SCONJ
ajst-10997	56	10	the	the	DET
ajst-10997	56	11	open	open	ADJ
ajst-10997	56	12	circuit	circuit	NOUN
ajst-10997	56	13	voltage	voltage	NOUN
ajst-10997	56	14	value	value	NOUN
ajst-10997	56	15	can	can	AUX
ajst-10997	56	16	be	be	AUX
ajst-10997	56	17	measured	measure	VERB
ajst-10997	56	18	.	.	PUNCT
ajst-10997	57	1	third	third	ADJ
ajst-10997	57	2	,	,	PUNCT
ajst-10997	57	3	amperehour	amperehour	ADJ
ajst-10997	57	4	integration	integration	NOUN
ajst-10997	57	5	has	have	VERB
ajst-10997	57	6	cumulative	cumulative	ADJ
ajst-10997	57	7	error	error	NOUN
ajst-10997	57	8	.	.	PUNCT
ajst-10997	58	1	as	as	SCONJ
ajst-10997	58	2	time	time	NOUN
ajst-10997	58	3	goes	go	VERB
ajst-10997	58	4	by	by	ADV
ajst-10997	58	5	,	,	PUNCT
ajst-10997	58	6	the	the	DET
ajst-10997	58	7	cumulative	cumulative	ADJ
ajst-10997	58	8	error	error	NOUN
ajst-10997	58	9	of	of	ADP
ajst-10997	58	10	ampere	ampere	ADJ
ajst-10997	58	11	-	-	PUNCT
ajst-10997	58	12	hour	hour	NOUN
ajst-10997	58	13	integration	integration	NOUN
ajst-10997	58	14	will	will	AUX
ajst-10997	58	15	become	become	VERB
ajst-10997	58	16	larger	large	ADJ
ajst-10997	58	17	and	and	CCONJ
ajst-10997	58	18	larger	large	ADJ
ajst-10997	58	19	,	,	PUNCT
ajst-10997	58	20	which	which	PRON
ajst-10997	58	21	will	will	AUX
ajst-10997	58	22	lead	lead	VERB
ajst-10997	58	23	to	to	ADP
ajst-10997	58	24	the	the	DET
ajst-10997	58	25	accuracy	accuracy	NOUN
ajst-10997	58	26	of	of	ADP
ajst-10997	58	27	soc	soc	NOUN
ajst-10997	58	28	91	91	NUM
ajst-10997	58	29	estimation	estimation	NOUN
ajst-10997	58	30	will	will	AUX
ajst-10997	58	31	become	become	VERB
ajst-10997	58	32	lower	low	ADJ
ajst-10997	58	33	and	and	CCONJ
ajst-10997	58	34	lower	low	ADJ
ajst-10997	58	35	.	.	PUNCT
ajst-10997	59	1	fourth	fourth	ADV
ajst-10997	59	2	,	,	PUNCT
ajst-10997	59	3	the	the	DET
ajst-10997	59	4	battery	battery	NOUN
ajst-10997	59	5	will	will	AUX
ajst-10997	59	6	age	age	VERB
ajst-10997	59	7	with	with	ADP
ajst-10997	59	8	the	the	DET
ajst-10997	59	9	increase	increase	NOUN
ajst-10997	59	10	of	of	ADP
ajst-10997	59	11	the	the	DET
ajst-10997	59	12	service	service	NOUN
ajst-10997	59	13	life	life	NOUN
ajst-10997	59	14	.	.	PUNCT
ajst-10997	60	1	simple	simple	ADJ
ajst-10997	60	2	measures	measure	NOUN
ajst-10997	60	3	do	do	AUX
ajst-10997	60	4	not	not	PART
ajst-10997	60	5	take	take	VERB
ajst-10997	60	6	into	into	ADP
ajst-10997	60	7	account	account	NOUN
ajst-10997	60	8	the	the	DET
ajst-10997	60	9	process	process	NOUN
ajst-10997	60	10	of	of	ADP
ajst-10997	60	11	battery	battery	NOUN
ajst-10997	60	12	aging	aging	NOUN
ajst-10997	60	13	.	.	PUNCT
ajst-10997	61	1	the	the	DET
ajst-10997	61	2	second	second	ADJ
ajst-10997	61	3	direction	direction	NOUN
ajst-10997	61	4	is	be	AUX
ajst-10997	61	5	model	model	NOUN
ajst-10997	61	6	-	-	PUNCT
ajst-10997	61	7	based	base	VERB
ajst-10997	61	8	estimation	estimation	NOUN
ajst-10997	61	9	methods	method	NOUN
ajst-10997	61	10	.	.	PUNCT
ajst-10997	62	1	the	the	DET
ajst-10997	62	2	approach	approach	NOUN
ajst-10997	62	3	is	be	AUX
ajst-10997	62	4	done	do	VERB
ajst-10997	62	5	by	by	ADP
ajst-10997	62	6	modeling	model	VERB
ajst-10997	62	7	the	the	DET
ajst-10997	62	8	battery	battery	NOUN
ajst-10997	62	9	.	.	PUNCT
ajst-10997	63	1	through	through	ADP
ajst-10997	63	2	the	the	DET
ajst-10997	63	3	accurate	accurate	ADJ
ajst-10997	63	4	establishment	establishment	NOUN
ajst-10997	63	5	of	of	ADP
ajst-10997	63	6	the	the	DET
ajst-10997	63	7	model	model	NOUN
ajst-10997	63	8	,	,	PUNCT
ajst-10997	63	9	the	the	DET
ajst-10997	63	10	soc	soc	NOUN
ajst-10997	63	11	can	can	AUX
ajst-10997	63	12	be	be	AUX
ajst-10997	63	13	better	well	ADV
ajst-10997	63	14	estimated	estimate	VERB
ajst-10997	63	15	.	.	PUNCT
ajst-10997	64	1	the	the	DET
ajst-10997	64	2	quality	quality	NOUN
ajst-10997	64	3	of	of	ADP
ajst-10997	64	4	the	the	DET
ajst-10997	64	5	model	model	NOUN
ajst-10997	64	6	directly	directly	ADV
ajst-10997	64	7	determines	determine	VERB
ajst-10997	64	8	the	the	DET
ajst-10997	64	9	quality	quality	NOUN
ajst-10997	64	10	of	of	ADP
ajst-10997	64	11	the	the	DET
ajst-10997	64	12	estimation	estimation	NOUN
ajst-10997	64	13	.	.	PUNCT
ajst-10997	65	1	the	the	DET
ajst-10997	65	2	value	value	NOUN
ajst-10997	65	3	estimated	estimate	VERB
ajst-10997	65	4	by	by	ADP
ajst-10997	65	5	the	the	DET
ajst-10997	65	6	model	model	NOUN
ajst-10997	65	7	is	be	AUX
ajst-10997	65	8	used	use	VERB
ajst-10997	65	9	as	as	ADP
ajst-10997	65	10	an	an	DET
ajst-10997	65	11	estimate	estimate	NOUN
ajst-10997	65	12	of	of	ADP
ajst-10997	65	13	the	the	DET
ajst-10997	65	14	soc	soc	NOUN
ajst-10997	65	15	of	of	ADP
ajst-10997	65	16	the	the	DET
ajst-10997	65	17	lithium	lithium	NOUN
ajst-10997	65	18	battery	battery	NOUN
ajst-10997	65	19	.	.	PUNCT
ajst-10997	66	1	in	in	ADP
ajst-10997	66	2	general	general	ADJ
ajst-10997	66	3	,	,	PUNCT
ajst-10997	66	4	the	the	DET
ajst-10997	66	5	following	follow	VERB
ajst-10997	66	6	models	model	NOUN
ajst-10997	66	7	are	be	AUX
ajst-10997	66	8	commonly	commonly	ADV
ajst-10997	66	9	used	use	VERB
ajst-10997	66	10	:	:	PUNCT
ajst-10997	66	11	electrochemical	electrochemical	ADJ
ajst-10997	66	12	model	model	NOUN
ajst-10997	66	13	(	(	PUNCT
ajst-10997	66	14	em)[11	em)[11	PROPN
ajst-10997	66	15	]	]	PUNCT
ajst-10997	66	16	.	.	PUNCT
ajst-10997	67	1	em	em	PRON
ajst-10997	67	2	calculates	calculate	VERB
ajst-10997	67	3	the	the	DET
ajst-10997	67	4	terminal	terminal	ADJ
ajst-10997	67	5	voltage	voltage	NOUN
ajst-10997	67	6	and	and	CCONJ
ajst-10997	67	7	soc	soc	NOUN
ajst-10997	67	8	of	of	ADP
ajst-10997	67	9	the	the	DET
ajst-10997	67	10	battery	battery	NOUN
ajst-10997	67	11	according	accord	VERB
ajst-10997	67	12	to	to	ADP
ajst-10997	67	13	the	the	DET
ajst-10997	67	14	electrochemical	electrochemical	ADJ
ajst-10997	67	15	reaction	reaction	NOUN
ajst-10997	67	16	process	process	NOUN
ajst-10997	67	17	,	,	PUNCT
ajst-10997	67	18	and	and	CCONJ
ajst-10997	67	19	is	be	AUX
ajst-10997	67	20	a	a	DET
ajst-10997	67	21	battery	battery	NOUN
ajst-10997	67	22	model	model	NOUN
ajst-10997	67	23	based	base	VERB
ajst-10997	67	24	on	on	ADP
ajst-10997	67	25	the	the	DET
ajst-10997	67	26	theory	theory	NOUN
ajst-10997	67	27	of	of	ADP
ajst-10997	67	28	porous	porous	ADJ
ajst-10997	67	29	electrodes	electrode	NOUN
ajst-10997	67	30	and	and	CCONJ
ajst-10997	67	31	solution	solution	NOUN
ajst-10997	67	32	concentration	concentration	NOUN
ajst-10997	67	33	.	.	PUNCT
ajst-10997	68	1	the	the	DET
ajst-10997	68	2	p2d	p2d	NUM
ajst-10997	68	3	model[12	model[12	NOUN
ajst-10997	68	4	]	]	PUNCT
ajst-10997	68	5	describes	describe	VERB
ajst-10997	68	6	the	the	DET
ajst-10997	68	7	solid	solid	ADJ
ajst-10997	68	8	-	-	PUNCT
ajst-10997	68	9	phase	phase	NOUN
ajst-10997	68	10	li	li	NOUN
ajst-10997	68	11	-	-	PUNCT
ajst-10997	68	12	ion	ion	NOUN
ajst-10997	68	13	concentration	concentration	NOUN
ajst-10997	68	14	and	and	CCONJ
ajst-10997	68	15	potential	potential	NOUN
ajst-10997	68	16	of	of	ADP
ajst-10997	68	17	li	li	PROPN
ajst-10997	68	18	-	-	PUNCT
ajst-10997	68	19	ion	ion	NOUN
ajst-10997	68	20	batteries	battery	NOUN
ajst-10997	68	21	using	use	VERB
ajst-10997	68	22	a	a	DET
ajst-10997	68	23	set	set	NOUN
ajst-10997	68	24	of	of	ADP
ajst-10997	68	25	coupled	couple	VERB
ajst-10997	68	26	partial	partial	ADJ
ajst-10997	68	27	differential	differential	NOUN
ajst-10997	68	28	equations	equation	NOUN
ajst-10997	68	29	,	,	PUNCT
ajst-10997	68	30	and	and	CCONJ
ajst-10997	68	31	is	be	AUX
ajst-10997	68	32	one	one	NUM
ajst-10997	68	33	of	of	ADP
ajst-10997	68	34	the	the	PRON
ajst-10997	68	35	most	most	ADV
ajst-10997	68	36	widely	widely	ADV
ajst-10997	68	37	used	use	VERB
ajst-10997	68	38	em	em	PRON
ajst-10997	68	39	in	in	ADP
ajst-10997	68	40	li	li	PROPN
ajst-10997	68	41	-	-	ADJ
ajst-10997	68	42	ion	ion	NOUN
ajst-10997	68	43	battery	battery	NOUN
ajst-10997	68	44	soc	soc	NOUN
ajst-10997	68	45	estimation	estimation	NOUN
ajst-10997	68	46	.	.	PUNCT
ajst-10997	69	1	the	the	DET
ajst-10997	69	2	electrochemical	electrochemical	ADJ
ajst-10997	69	3	model	model	NOUN
ajst-10997	69	4	mainly	mainly	ADV
ajst-10997	69	5	reflects	reflect	VERB
ajst-10997	69	6	the	the	DET
ajst-10997	69	7	chemical	chemical	NOUN
ajst-10997	69	8	reaction	reaction	NOUN
ajst-10997	69	9	mechanism	mechanism	NOUN
ajst-10997	69	10	inside	inside	ADP
ajst-10997	69	11	the	the	DET
ajst-10997	69	12	battery	battery	NOUN
ajst-10997	69	13	,	,	PUNCT
ajst-10997	69	14	and	and	CCONJ
ajst-10997	69	15	the	the	DET
ajst-10997	69	16	model	model	NOUN
ajst-10997	69	17	has	have	VERB
ajst-10997	69	18	high	high	ADJ
ajst-10997	69	19	accuracy	accuracy	NOUN
ajst-10997	69	20	,	,	PUNCT
ajst-10997	69	21	but	but	CCONJ
ajst-10997	69	22	it	it	PRON
ajst-10997	69	23	is	be	AUX
ajst-10997	69	24	difficult	difficult	ADJ
ajst-10997	69	25	to	to	PART
ajst-10997	69	26	determine	determine	VERB
ajst-10997	69	27	all	all	DET
ajst-10997	69	28	the	the	DET
ajst-10997	69	29	parameters	parameter	NOUN
ajst-10997	69	30	,	,	PUNCT
ajst-10997	69	31	which	which	PRON
ajst-10997	69	32	has	have	VERB
ajst-10997	69	33	huge	huge	ADJ
ajst-10997	69	34	computational	computational	ADJ
ajst-10997	69	35	complexity	complexity	NOUN
ajst-10997	69	36	and	and	CCONJ
ajst-10997	69	37	time	time	NOUN
ajst-10997	69	38	consumption	consumption	NOUN
ajst-10997	69	39	.	.	PUNCT
ajst-10997	70	1	electrochemical	electrochemical	ADJ
ajst-10997	70	2	impedance	impedance	NOUN
ajst-10997	70	3	model	model	NOUN
ajst-10997	70	4	(	(	PUNCT
ajst-10997	70	5	eim	eim	PROPN
ajst-10997	70	6	)	)	PUNCT
ajst-10997	70	7	.	.	PUNCT
ajst-10997	71	1	electrochemical	electrochemical	ADJ
ajst-10997	71	2	impedance	impedance	NOUN
ajst-10997	71	3	spectroscopy	spectroscopy	NOUN
ajst-10997	71	4	(	(	PUNCT
ajst-10997	71	5	eis	eis	PROPN
ajst-10997	71	6	)	)	PUNCT
ajst-10997	72	1	[	[	X
ajst-10997	72	2	13]is	13]is	NUM
ajst-10997	72	3	a	a	DET
ajst-10997	72	4	battery	battery	NOUN
ajst-10997	72	5	measurement	measurement	NOUN
ajst-10997	72	6	technique	technique	NOUN
ajst-10997	72	7	proposed	propose	VERB
ajst-10997	72	8	by	by	ADP
ajst-10997	72	9	heaviside	heaviside	NOUN
ajst-10997	72	10	in	in	ADP
ajst-10997	72	11	1894	1894	NUM
ajst-10997	72	12	,	,	PUNCT
ajst-10997	72	13	which	which	PRON
ajst-10997	72	14	is	be	AUX
ajst-10997	72	15	commonly	commonly	ADV
ajst-10997	72	16	used	use	VERB
ajst-10997	72	17	to	to	PART
ajst-10997	72	18	model	model	VERB
ajst-10997	72	19	electrochemical	electrochemical	ADJ
ajst-10997	72	20	impedance	impedance	NOUN
ajst-10997	72	21	circuits	circuit	NOUN
ajst-10997	72	22	.	.	PUNCT
ajst-10997	73	1	eim	eim	PROPN
ajst-10997	73	2	obtains	obtain	VERB
ajst-10997	73	3	the	the	DET
ajst-10997	73	4	ac	ac	PROPN
ajst-10997	73	5	equivalent	equivalent	ADJ
ajst-10997	73	6	impedance	impedance	NOUN
ajst-10997	73	7	model	model	NOUN
ajst-10997	73	8	in	in	ADP
ajst-10997	73	9	the	the	DET
ajst-10997	73	10	frequency	frequency	NOUN
ajst-10997	73	11	domain	domain	NOUN
ajst-10997	73	12	by	by	ADP
ajst-10997	73	13	eis	eis	PROPN
ajst-10997	73	14	method	method	NOUN
ajst-10997	73	15	,	,	PUNCT
ajst-10997	73	16	determines	determine	VERB
ajst-10997	73	17	the	the	DET
ajst-10997	73	18	composition	composition	NOUN
ajst-10997	73	19	of	of	ADP
ajst-10997	73	20	the	the	DET
ajst-10997	73	21	equivalent	equivalent	ADJ
ajst-10997	73	22	circuit	circuit	NOUN
ajst-10997	73	23	and	and	CCONJ
ajst-10997	73	24	the	the	DET
ajst-10997	73	25	size	size	NOUN
ajst-10997	73	26	of	of	ADP
ajst-10997	73	27	each	each	DET
ajst-10997	73	28	component	component	NOUN
ajst-10997	73	29	by	by	ADP
ajst-10997	73	30	eis	eis	PROPN
ajst-10997	73	31	,	,	PUNCT
ajst-10997	73	32	and	and	CCONJ
ajst-10997	73	33	then	then	ADV
ajst-10997	73	34	uses	use	VERB
ajst-10997	73	35	a	a	DET
ajst-10997	73	36	complex	complex	ADJ
ajst-10997	73	37	equivalent	equivalent	ADJ
ajst-10997	73	38	network	network	NOUN
ajst-10997	73	39	to	to	PART
ajst-10997	73	40	match	match	VERB
ajst-10997	73	41	the	the	DET
ajst-10997	73	42	impedance	impedance	NOUN
ajst-10997	73	43	spectrum	spectrum	NOUN
ajst-10997	73	44	.	.	PUNCT
ajst-10997	74	1	eim	eim	PROPN
ajst-10997	74	2	can	can	AUX
ajst-10997	74	3	accurately	accurately	ADV
ajst-10997	74	4	describe	describe	VERB
ajst-10997	74	5	the	the	DET
ajst-10997	74	6	battery	battery	NOUN
ajst-10997	74	7	characteristics	characteristic	NOUN
ajst-10997	74	8	,	,	PUNCT
ajst-10997	74	9	but	but	CCONJ
ajst-10997	74	10	the	the	DET
ajst-10997	74	11	matching	matching	NOUN
ajst-10997	74	12	process	process	NOUN
ajst-10997	74	13	is	be	AUX
ajst-10997	74	14	difficult	difficult	ADJ
ajst-10997	74	15	,	,	PUNCT
ajst-10997	74	16	complex	complex	ADJ
ajst-10997	74	17	and	and	CCONJ
ajst-10997	74	18	not	not	PART
ajst-10997	74	19	intuitive	intuitive	ADJ
ajst-10997	74	20	in	in	ADP
ajst-10997	74	21	practical	practical	ADJ
ajst-10997	74	22	application	application	NOUN
ajst-10997	74	23	.	.	PUNCT
ajst-10997	75	1	moreover	moreover	ADV
ajst-10997	75	2	,	,	PUNCT
ajst-10997	75	3	the	the	DET
ajst-10997	75	4	impedance	impedance	NOUN
ajst-10997	75	5	model	model	NOUN
ajst-10997	75	6	is	be	AUX
ajst-10997	75	7	only	only	ADV
ajst-10997	75	8	useful	useful	ADJ
ajst-10997	75	9	for	for	ADP
ajst-10997	75	10	specific	specific	ADJ
ajst-10997	75	11	soc	soc	NOUN
ajst-10997	75	12	and	and	CCONJ
ajst-10997	75	13	temperature	temperature	NOUN
ajst-10997	75	14	,	,	PUNCT
ajst-10997	75	15	and	and	CCONJ
ajst-10997	75	16	can	can	AUX
ajst-10997	75	17	not	not	PART
ajst-10997	75	18	predict	predict	VERB
ajst-10997	75	19	dc	dc	PROPN
ajst-10997	75	20	reaction	reaction	NOUN
ajst-10997	75	21	and	and	CCONJ
ajst-10997	75	22	battery	battery	NOUN
ajst-10997	75	23	operation	operation	NOUN
ajst-10997	75	24	time	time	NOUN
ajst-10997	75	25	.	.	PUNCT
ajst-10997	76	1	equivalent	equivalent	ADJ
ajst-10997	76	2	circuit	circuit	NOUN
ajst-10997	76	3	model	model	NOUN
ajst-10997	76	4	(	(	PUNCT
ajst-10997	76	5	ecm	ecm	PROPN
ajst-10997	76	6	)	)	PUNCT
ajst-10997	76	7	.	.	PUNCT
ajst-10997	77	1	ecm[14	ecm[14	PROPN
ajst-10997	77	2	]	]	PUNCT
ajst-10997	77	3	is	be	AUX
ajst-10997	77	4	used	use	VERB
ajst-10997	77	5	to	to	PART
ajst-10997	77	6	describe	describe	VERB
ajst-10997	77	7	and	and	CCONJ
ajst-10997	77	8	simulate	simulate	VERB
ajst-10997	77	9	the	the	DET
ajst-10997	77	10	dynamic	dynamic	ADJ
ajst-10997	77	11	characteristics	characteristic	NOUN
ajst-10997	77	12	of	of	ADP
ajst-10997	77	13	the	the	DET
ajst-10997	77	14	battery	battery	NOUN
ajst-10997	77	15	.	.	PUNCT
ajst-10997	78	1	it	it	PRON
ajst-10997	78	2	regards	regard	VERB
ajst-10997	78	3	the	the	DET
ajst-10997	78	4	battery	battery	NOUN
ajst-10997	78	5	as	as	ADP
ajst-10997	78	6	a	a	DET
ajst-10997	78	7	two	two	NUM
ajst-10997	78	8	-	-	PUNCT
ajst-10997	78	9	port	port	NOUN
ajst-10997	78	10	network	network	NOUN
ajst-10997	78	11	,	,	PUNCT
ajst-10997	78	12	and	and	CCONJ
ajst-10997	78	13	uses	use	VERB
ajst-10997	78	14	voltage	voltage	NOUN
ajst-10997	78	15	sources[15	sources[15	NOUN
ajst-10997	78	16	]	]	PUNCT
ajst-10997	78	17	,	,	PUNCT
ajst-10997	78	18	resistors	resistor	NOUN
ajst-10997	78	19	,	,	PUNCT
ajst-10997	78	20	capacitors	capacitor	NOUN
ajst-10997	78	21	and	and	CCONJ
ajst-10997	78	22	other	other	ADJ
ajst-10997	78	23	components	component	NOUN
ajst-10997	78	24	to	to	PART
ajst-10997	78	25	simulate	simulate	VERB
ajst-10997	78	26	the	the	DET
ajst-10997	78	27	internal	internal	ADJ
ajst-10997	78	28	characteristics	characteristic	NOUN
ajst-10997	78	29	of	of	ADP
ajst-10997	78	30	the	the	DET
ajst-10997	78	31	battery	battery	NOUN
ajst-10997	78	32	.	.	PUNCT
ajst-10997	79	1	various	various	ADJ
ajst-10997	79	2	ecm	ecm	PROPN
ajst-10997	79	3	models	model	NOUN
ajst-10997	79	4	have	have	AUX
ajst-10997	79	5	been	be	AUX
ajst-10997	79	6	proposed	propose	VERB
ajst-10997	79	7	for	for	ADP
ajst-10997	79	8	soc	soc	NOUN
ajst-10997	79	9	estimation	estimation	NOUN
ajst-10997	79	10	of	of	ADP
ajst-10997	79	11	lithium	lithium	NOUN
ajst-10997	79	12	-	-	PUNCT
ajst-10997	79	13	ion	ion	NOUN
ajst-10997	79	14	batteries	battery	NOUN
ajst-10997	79	15	.	.	PUNCT
ajst-10997	80	1	common	common	ADJ
ajst-10997	80	2	models	model	NOUN
ajst-10997	80	3	include	include	VERB
ajst-10997	80	4	rint	rint	NOUN
ajst-10997	80	5	model	model	NOUN
ajst-10997	80	6	,	,	PUNCT
ajst-10997	80	7	thevenin	thevenin	NOUN
ajst-10997	80	8	model	model	NOUN
ajst-10997	80	9	,	,	PUNCT
ajst-10997	80	10	second	second	ADJ
ajst-10997	80	11	-	-	PUNCT
ajst-10997	80	12	order	order	NOUN
ajst-10997	80	13	resistor	resistor	NOUN
ajst-10997	80	14	and	and	CCONJ
ajst-10997	80	15	capacitor	capacitor	NOUN
ajst-10997	80	16	parallel	parallel	ADJ
ajst-10997	80	17	equivalent	equivalent	ADJ
ajst-10997	80	18	model	model	NOUN
ajst-10997	80	19	,	,	PUNCT
ajst-10997	80	20	partnership	partnership	NOUN
ajst-10997	80	21	for	for	ADP
ajst-10997	80	22	a	a	DET
ajst-10997	80	23	new	new	ADJ
ajst-10997	80	24	generation	generation	NOUN
ajst-10997	80	25	of	of	ADP
ajst-10997	80	26	vehicle	vehicle	NOUN
ajst-10997	80	27	(	(	PUNCT
ajst-10997	80	28	pngv	pngv	ADJ
ajst-10997	80	29	)	)	PUNCT
ajst-10997	80	30	model[16	model[16	PROPN
ajst-10997	80	31	]	]	X
ajst-10997	80	32	.	.	PUNCT
ajst-10997	81	1	the	the	DET
ajst-10997	81	2	third	third	ADJ
ajst-10997	81	3	direction	direction	NOUN
ajst-10997	81	4	is	be	AUX
ajst-10997	81	5	based	base	VERB
ajst-10997	81	6	on	on	ADP
ajst-10997	81	7	data	data	NOUN
ajst-10997	81	8	-	-	PUNCT
ajst-10997	81	9	driven	drive	VERB
ajst-10997	81	10	approaches	approach	NOUN
ajst-10997	81	11	.	.	PUNCT
ajst-10997	82	1	data	data	NOUN
ajst-10997	82	2	-	-	PUNCT
ajst-10997	82	3	driven	drive	VERB
ajst-10997	82	4	based	base	VERB
ajst-10997	82	5	estimation	estimation	NOUN
ajst-10997	82	6	methods	method	NOUN
ajst-10997	82	7	refer	refer	VERB
ajst-10997	82	8	to	to	ADP
ajst-10997	82	9	the	the	DET
ajst-10997	82	10	direct	direct	ADJ
ajst-10997	82	11	estimation	estimation	NOUN
ajst-10997	82	12	of	of	ADP
ajst-10997	82	13	soc	soc	NOUN
ajst-10997	82	14	using	use	VERB
ajst-10997	82	15	battery	battery	NOUN
ajst-10997	82	16	data	datum	NOUN
ajst-10997	82	17	by	by	ADP
ajst-10997	82	18	measuring	measure	VERB
ajst-10997	82	19	battery	battery	NOUN
ajst-10997	82	20	parameters	parameter	NOUN
ajst-10997	82	21	such	such	ADJ
ajst-10997	82	22	as	as	ADP
ajst-10997	82	23	current	current	ADJ
ajst-10997	82	24	,	,	PUNCT
ajst-10997	82	25	voltage	voltage	NOUN
ajst-10997	82	26	,	,	PUNCT
ajst-10997	82	27	temperature	temperature	NOUN
ajst-10997	82	28	,	,	PUNCT
ajst-10997	82	29	and	and	CCONJ
ajst-10997	82	30	internal	internal	ADJ
ajst-10997	82	31	resistance	resistance	NOUN
ajst-10997	82	32	.	.	PUNCT
ajst-10997	83	1	in	in	ADP
ajst-10997	83	2	recent	recent	ADJ
ajst-10997	83	3	years	year	NOUN
ajst-10997	83	4	,	,	PUNCT
ajst-10997	83	5	with	with	ADP
ajst-10997	83	6	the	the	DET
ajst-10997	83	7	rapid	rapid	ADJ
ajst-10997	83	8	development	development	NOUN
ajst-10997	83	9	of	of	ADP
ajst-10997	83	10	machine	machine	NOUN
ajst-10997	83	11	learning	learning	NOUN
ajst-10997	83	12	,	,	PUNCT
ajst-10997	83	13	data	datum	NOUN
ajst-10997	83	14	-	-	PUNCT
ajst-10997	83	15	driven	drive	VERB
ajst-10997	83	16	soc	soc	NOUN
ajst-10997	83	17	estimation	estimation	NOUN
ajst-10997	83	18	methods	method	NOUN
ajst-10997	83	19	often	often	ADV
ajst-10997	83	20	use	use	VERB
ajst-10997	83	21	machine	machine	NOUN
ajst-10997	83	22	learning	learning	NOUN
ajst-10997	83	23	platforms	platform	NOUN
ajst-10997	83	24	to	to	PART
ajst-10997	83	25	automatically	automatically	ADV
ajst-10997	83	26	learn	learn	VERB
ajst-10997	83	27	network	network	NOUN
ajst-10997	83	28	parameters	parameter	NOUN
ajst-10997	83	29	through	through	ADP
ajst-10997	83	30	intelligent	intelligent	ADJ
ajst-10997	83	31	algorithms	algorithm	NOUN
ajst-10997	83	32	and	and	CCONJ
ajst-10997	83	33	obtain	obtain	VERB
ajst-10997	83	34	the	the	DET
ajst-10997	83	35	relationship	relationship	NOUN
ajst-10997	83	36	between	between	ADP
ajst-10997	83	37	battery	battery	NOUN
ajst-10997	83	38	parameters	parameter	NOUN
ajst-10997	83	39	and	and	CCONJ
ajst-10997	83	40	soc	soc	NOUN
ajst-10997	83	41	.	.	PUNCT
ajst-10997	84	1	machine	machine	NOUN
ajst-10997	84	2	learning	learn	VERB
ajst-10997	84	3	methods	method	NOUN
ajst-10997	84	4	commonly	commonly	ADV
ajst-10997	84	5	used	use	VERB
ajst-10997	84	6	for	for	ADP
ajst-10997	84	7	soc	soc	NOUN
ajst-10997	84	8	estimation	estimation	NOUN
ajst-10997	84	9	include	include	VERB
ajst-10997	84	10	neural	neural	ADJ
ajst-10997	84	11	networks	network	NOUN
ajst-10997	84	12	and	and	CCONJ
ajst-10997	84	13	deep	deep	ADJ
ajst-10997	84	14	learning	learning	NOUN
ajst-10997	84	15	,	,	PUNCT
ajst-10997	84	16	support	support	VERB
ajst-10997	84	17	vector	vector	NOUN
ajst-10997	84	18	machine	machine	NOUN
ajst-10997	84	19	(	(	PUNCT
ajst-10997	84	20	svm)[17	svm)[17	PROPN
ajst-10997	84	21	]	]	PUNCT
ajst-10997	84	22	and	and	CCONJ
ajst-10997	84	23	recurrent	recurrent	ADJ
ajst-10997	84	24	neural	neural	ADJ
ajst-10997	84	25	networks	network	NOUN
ajst-10997	84	26	.	.	PUNCT
ajst-10997	85	1	estimation	estimation	NOUN
ajst-10997	85	2	methods	method	NOUN
ajst-10997	85	3	based	base	VERB
ajst-10997	85	4	on	on	ADP
ajst-10997	85	5	data	data	NOUN
ajst-10997	85	6	-	-	PUNCT
ajst-10997	85	7	driven	drive	VERB
ajst-10997	85	8	soc	soc	NOUN
ajst-10997	85	9	also	also	ADV
ajst-10997	85	10	have	have	VERB
ajst-10997	85	11	their	their	PRON
ajst-10997	85	12	own	own	ADJ
ajst-10997	85	13	shortcomings	shortcoming	NOUN
ajst-10997	85	14	.	.	PUNCT
ajst-10997	86	1	it	it	PRON
ajst-10997	86	2	has	have	VERB
ajst-10997	86	3	a	a	DET
ajst-10997	86	4	large	large	ADJ
ajst-10997	86	5	amount	amount	NOUN
ajst-10997	86	6	of	of	ADP
ajst-10997	86	7	data	datum	NOUN
ajst-10997	86	8	and	and	CCONJ
ajst-10997	86	9	high	high	ADJ
ajst-10997	86	10	data	datum	NOUN
ajst-10997	86	11	requirements	requirement	NOUN
ajst-10997	86	12	.	.	PUNCT
ajst-10997	87	1	at	at	ADP
ajst-10997	87	2	the	the	DET
ajst-10997	87	3	same	same	ADJ
ajst-10997	87	4	time	time	NOUN
ajst-10997	87	5	,	,	PUNCT
ajst-10997	87	6	it	it	PRON
ajst-10997	87	7	needs	need	VERB
ajst-10997	87	8	the	the	DET
ajst-10997	87	9	support	support	NOUN
ajst-10997	87	10	of	of	ADP
ajst-10997	87	11	more	more	ADV
ajst-10997	87	12	powerful	powerful	ADJ
ajst-10997	87	13	hardware	hardware	NOUN
ajst-10997	87	14	platform	platform	NOUN
ajst-10997	87	15	in	in	ADP
ajst-10997	87	16	the	the	DET
ajst-10997	87	17	training	training	NOUN
ajst-10997	87	18	process	process	NOUN
ajst-10997	87	19	.	.	PUNCT
ajst-10997	88	1	all	all	DET
ajst-10997	88	2	these	these	PRON
ajst-10997	88	3	bring	bring	VERB
ajst-10997	88	4	great	great	ADJ
ajst-10997	88	5	difficulties	difficulty	NOUN
ajst-10997	88	6	to	to	ADP
ajst-10997	88	7	the	the	DET
ajst-10997	88	8	application	application	NOUN
ajst-10997	88	9	of	of	ADP
ajst-10997	88	10	data	data	NOUN
ajst-10997	88	11	-	-	PUNCT
ajst-10997	88	12	driven	drive	VERB
ajst-10997	88	13	methods	method	NOUN
ajst-10997	88	14	in	in	ADP
ajst-10997	88	15	engineering	engineering	NOUN
ajst-10997	88	16	practice	practice	NOUN
ajst-10997	88	17	.	.	PUNCT
ajst-10997	89	1	fortunately	fortunately	ADV
ajst-10997	89	2	,	,	PUNCT
ajst-10997	89	3	recently	recently	ADV
ajst-10997	89	4	,	,	PUNCT
ajst-10997	89	5	gru	gru	NOUN
ajst-10997	89	6	computing	computing	NOUN
ajst-10997	89	7	power	power	NOUN
ajst-10997	89	8	and	and	CCONJ
ajst-10997	89	9	distributed	distribute	VERB
ajst-10997	89	10	cloud	cloud	NOUN
ajst-10997	89	11	platforms	platform	NOUN
ajst-10997	89	12	(	(	PUNCT
ajst-10997	89	13	hadoop	hadoop	NOUN
ajst-10997	89	14	,	,	PUNCT
ajst-10997	89	15	spark	spark	NOUN
ajst-10997	89	16	)	)	PUNCT
ajst-10997	89	17	are	be	AUX
ajst-10997	89	18	widely	widely	ADV
ajst-10997	89	19	used	use	VERB
ajst-10997	89	20	.	.	PUNCT
ajst-10997	90	1	these	these	DET
ajst-10997	90	2	improvements	improvement	NOUN
ajst-10997	90	3	in	in	ADP
ajst-10997	90	4	hardware	hardware	NOUN
ajst-10997	90	5	performance	performance	NOUN
ajst-10997	90	6	bring	bring	VERB
ajst-10997	90	7	great	great	ADJ
ajst-10997	90	8	opportunities	opportunity	NOUN
ajst-10997	90	9	for	for	ADP
ajst-10997	90	10	data	data	NOUN
ajst-10997	90	11	-	-	PUNCT
ajst-10997	90	12	driven	drive	VERB
ajst-10997	90	13	soc	soc	NOUN
ajst-10997	90	14	applications	application	NOUN
ajst-10997	90	15	.	.	PUNCT
ajst-10997	91	1	2	2	X
ajst-10997	91	2	.	.	NUM
ajst-10997	91	3	related	relate	VERB
ajst-10997	91	4	works	work	NOUN
ajst-10997	91	5	there	there	PRON
ajst-10997	91	6	are	be	VERB
ajst-10997	91	7	three	three	NUM
ajst-10997	91	8	approaches	approach	NOUN
ajst-10997	91	9	for	for	ADP
ajst-10997	91	10	estimating	estimate	VERB
ajst-10997	91	11	a	a	DET
ajst-10997	91	12	li	li	NOUN
ajst-10997	91	13	-	-	PUNCT
ajst-10997	91	14	ion	ion	NOUN
ajst-10997	91	15	battery	battery	NOUN
ajst-10997	91	16	's	's	PART
ajst-10997	91	17	soc	soc	NOUN
ajst-10997	91	18	.	.	PUNCT
ajst-10997	92	1	direct	direct	ADJ
ajst-10997	92	2	measurement	measurement	NOUN
ajst-10997	92	3	is	be	AUX
ajst-10997	92	4	the	the	DET
ajst-10997	92	5	first	first	ADJ
ajst-10997	92	6	technique	technique	NOUN
ajst-10997	92	7	.	.	PUNCT
ajst-10997	93	1	although	although	SCONJ
ajst-10997	93	2	the	the	DET
ajst-10997	93	3	ocv	ocv	ADJ
ajst-10997	93	4	measurement	measurement	NOUN
ajst-10997	93	5	approach	approach	NOUN
ajst-10997	93	6	is	be	AUX
ajst-10997	93	7	more	more	ADV
ajst-10997	93	8	exact	exact	ADJ
ajst-10997	93	9	,	,	PUNCT
ajst-10997	93	10	it	it	PRON
ajst-10997	93	11	still	still	ADV
ajst-10997	93	12	necessitates	necessitate	VERB
ajst-10997	93	13	the	the	DET
ajst-10997	93	14	use	use	NOUN
ajst-10997	93	15	of	of	ADP
ajst-10997	93	16	specialist	specialist	ADJ
ajst-10997	93	17	measurement	measurement	NOUN
ajst-10997	93	18	equipment	equipment	NOUN
ajst-10997	93	19	and	and	CCONJ
ajst-10997	93	20	resting	rest	VERB
ajst-10997	93	21	between	between	ADP
ajst-10997	93	22	measurements	measurement	NOUN
ajst-10997	93	23	.	.	PUNCT
ajst-10997	94	1	as	as	ADP
ajst-10997	94	2	a	a	DET
ajst-10997	94	3	result	result	NOUN
ajst-10997	94	4	,	,	PUNCT
ajst-10997	94	5	it	it	PRON
ajst-10997	94	6	is	be	AUX
ajst-10997	94	7	rarely	rarely	ADV
ajst-10997	94	8	utilized	utilize	VERB
ajst-10997	94	9	in	in	ADP
ajst-10997	94	10	practice	practice	NOUN
ajst-10997	94	11	and	and	CCONJ
ajst-10997	94	12	is	be	AUX
ajst-10997	94	13	often	often	ADV
ajst-10997	94	14	measured	measure	VERB
ajst-10997	94	15	by	by	ADP
ajst-10997	94	16	manufacturers	manufacturer	NOUN
ajst-10997	94	17	using	use	VERB
ajst-10997	94	18	specialized	specialized	ADJ
ajst-10997	94	19	equipment	equipment	NOUN
ajst-10997	94	20	.	.	PUNCT
ajst-10997	95	1	using	use	VERB
ajst-10997	95	2	lithium	lithium	NOUN
ajst-10997	95	3	batteries	battery	NOUN
ajst-10997	95	4	can	can	AUX
ajst-10997	95	5	also	also	ADV
ajst-10997	95	6	result	result	VERB
ajst-10997	95	7	in	in	ADP
ajst-10997	95	8	erroneous	erroneous	ADJ
ajst-10997	95	9	ocv	ocv	ADJ
ajst-10997	95	10	measurements	measurement	NOUN
ajst-10997	95	11	.	.	PUNCT
ajst-10997	96	1	this	this	PRON
ajst-10997	96	2	is	be	AUX
ajst-10997	96	3	due	due	ADJ
ajst-10997	96	4	to	to	ADP
ajst-10997	96	5	the	the	DET
ajst-10997	96	6	fact	fact	NOUN
ajst-10997	96	7	that	that	SCONJ
ajst-10997	96	8	the	the	DET
ajst-10997	96	9	earlier	early	ADV
ajst-10997	96	10	observed	observe	VERB
ajst-10997	96	11	ocv	ocv	ADJ
ajst-10997	96	12	values	value	NOUN
ajst-10997	96	13	are	be	AUX
ajst-10997	96	14	no	no	ADV
ajst-10997	96	15	longer	long	ADV
ajst-10997	96	16	correct	correct	ADJ
ajst-10997	96	17	due	due	ADP
ajst-10997	96	18	to	to	ADP
ajst-10997	96	19	the	the	DET
ajst-10997	96	20	rise	rise	NOUN
ajst-10997	96	21	in	in	ADP
ajst-10997	96	22	polarization	polarization	NOUN
ajst-10997	96	23	internal	internal	ADJ
ajst-10997	96	24	resistance	resistance	NOUN
ajst-10997	96	25	.	.	PUNCT
ajst-10997	97	1	according	accord	VERB
ajst-10997	97	2	to	to	ADP
ajst-10997	97	3	wei	wei	PROPN
ajst-10997	97	4	zhongbao	zhongbao	PROPN
ajst-10997	97	5	’s	’s	PART
ajst-10997	97	6	paper[18	paper[18	NOUN
ajst-10997	97	7	]	]	X
ajst-10997	97	8	,	,	PUNCT
ajst-10997	97	9	a	a	DET
ajst-10997	97	10	low	low	ADJ
ajst-10997	97	11	-	-	PUNCT
ajst-10997	97	12	current	current	ADJ
ajst-10997	97	13	technique	technique	NOUN
ajst-10997	97	14	would	would	AUX
ajst-10997	97	15	be	be	AUX
ajst-10997	97	16	superior	superior	ADJ
ajst-10997	97	17	for	for	ADP
ajst-10997	97	18	determining	determine	VERB
ajst-10997	97	19	ocv	ocv	ADJ
ajst-10997	97	20	values	value	NOUN
ajst-10997	97	21	.	.	PUNCT
ajst-10997	98	1	the	the	DET
ajst-10997	98	2	coulomb	coulomb	NOUN
ajst-10997	98	3	counting	counting	NOUN
ajst-10997	98	4	approach	approach	NOUN
ajst-10997	98	5	is	be	AUX
ajst-10997	98	6	used	use	VERB
ajst-10997	98	7	by	by	ADP
ajst-10997	98	8	movassagh	movassagh	PROPN
ajst-10997	98	9	[	[	X
ajst-10997	98	10	19]to	19]to	NUM
ajst-10997	98	11	estimate	estimate	VERB
ajst-10997	98	12	soc	soc	NOUN
ajst-10997	98	13	.	.	PUNCT
ajst-10997	99	1	wang	wang	PROPN
ajst-10997	99	2	zuolu[20	zuolu[20	PROPN
ajst-10997	99	3	]	]	PUNCT
ajst-10997	99	4	developed	develop	VERB
ajst-10997	99	5	a	a	DET
ajst-10997	99	6	technique	technique	NOUN
ajst-10997	99	7	for	for	ADP
ajst-10997	99	8	calculating	calculate	VERB
ajst-10997	99	9	the	the	DET
ajst-10997	99	10	value	value	NOUN
ajst-10997	99	11	of	of	ADP
ajst-10997	99	12	soc	soc	NOUN
ajst-10997	99	13	using	use	VERB
ajst-10997	99	14	an	an	DET
ajst-10997	99	15	ecm	ecm	PROPN
ajst-10997	99	16	model	model	NOUN
ajst-10997	99	17	.	.	PUNCT
ajst-10997	100	1	the	the	DET
ajst-10997	100	2	lithium	lithium	NOUN
ajst-10997	100	3	-	-	PUNCT
ajst-10997	100	4	ion	ion	NOUN
ajst-10997	100	5	battery	battery	NOUN
ajst-10997	100	6	is	be	AUX
ajst-10997	100	7	used	use	VERB
ajst-10997	100	8	as	as	ADP
ajst-10997	100	9	an	an	DET
ajst-10997	100	10	analogous	analogous	ADJ
ajst-10997	100	11	circuit	circuit	NOUN
ajst-10997	100	12	or	or	CCONJ
ajst-10997	100	13	electrochemical	electrochemical	ADJ
ajst-10997	100	14	model	model	NOUN
ajst-10997	100	15	in	in	ADP
ajst-10997	100	16	the	the	DET
ajst-10997	100	17	approach	approach	NOUN
ajst-10997	100	18	for	for	ADP
ajst-10997	100	19	estimating	estimate	VERB
ajst-10997	100	20	soc	soc	NOUN
ajst-10997	100	21	that	that	PRON
ajst-10997	100	22	is	be	AUX
ajst-10997	100	23	based	base	VERB
ajst-10997	100	24	on	on	ADP
ajst-10997	100	25	models	model	NOUN
ajst-10997	100	26	.	.	PUNCT
ajst-10997	101	1	choi	choi	NOUN
ajst-10997	101	2	woosung	woosung	PROPN
ajst-10997	101	3	models[21	models[21	PROPN
ajst-10997	101	4	]	]	X
ajst-10997	101	5	the	the	DET
ajst-10997	101	6	lithium	lithium	NOUN
ajst-10997	101	7	-	-	PUNCT
ajst-10997	101	8	ion	ion	NOUN
ajst-10997	101	9	battery	battery	NOUN
ajst-10997	101	10	with	with	ADP
ajst-10997	101	11	the	the	DET
ajst-10997	101	12	eis	eis	PROPN
ajst-10997	101	13	approach	approach	NOUN
ajst-10997	101	14	.	.	PUNCT
ajst-10997	102	1	yang	yang	PROPN
ajst-10997	102	2	fangfang[22	fangfang[22	PROPN
ajst-10997	102	3	]	]	PUNCT
ajst-10997	102	4	offers	offer	VERB
ajst-10997	102	5	a	a	DET
ajst-10997	102	6	fresh	fresh	ADJ
ajst-10997	102	7	concept	concept	NOUN
ajst-10997	102	8	by	by	ADP
ajst-10997	102	9	combining	combine	VERB
ajst-10997	102	10	ukf	ukf	NOUN
ajst-10997	102	11	and	and	CCONJ
ajst-10997	102	12	lstm	lstm	NOUN
ajst-10997	102	13	.	.	PUNCT
ajst-10997	103	1	the	the	DET
ajst-10997	103	2	model	model	NOUN
ajst-10997	103	3	then	then	ADV
ajst-10997	103	4	makes	make	VERB
ajst-10997	103	5	an	an	DET
ajst-10997	103	6	estimation	estimation	NOUN
ajst-10997	103	7	of	of	ADP
ajst-10997	103	8	the	the	DET
ajst-10997	103	9	soc	soc	NOUN
ajst-10997	103	10	.	.	PUNCT
ajst-10997	104	1	a	a	DET
ajst-10997	104	2	data	data	NOUN
ajst-10997	104	3	-	-	PUNCT
ajst-10997	104	4	driven	drive	VERB
ajst-10997	104	5	strategy	strategy	NOUN
ajst-10997	104	6	is	be	AUX
ajst-10997	104	7	the	the	DET
ajst-10997	104	8	foundation	foundation	NOUN
ajst-10997	104	9	of	of	ADP
ajst-10997	104	10	the	the	DET
ajst-10997	104	11	third	third	ADJ
ajst-10997	104	12	approach	approach	NOUN
ajst-10997	104	13	.	.	PUNCT
ajst-10997	105	1	the	the	DET
ajst-10997	105	2	current	current	ADJ
ajst-10997	105	3	trend	trend	NOUN
ajst-10997	105	4	in	in	ADP
ajst-10997	105	5	lithium	lithium	NOUN
ajst-10997	105	6	-	-	PUNCT
ajst-10997	105	7	ion	ion	NOUN
ajst-10997	105	8	battery	battery	NOUN
ajst-10997	105	9	soc	soc	NOUN
ajst-10997	105	10	estimation	estimation	NOUN
ajst-10997	105	11	is	be	AUX
ajst-10997	105	12	toward	toward	ADP
ajst-10997	105	13	data	data	NOUN
ajst-10997	105	14	-	-	PUNCT
ajst-10997	105	15	driven	drive	VERB
ajst-10997	105	16	methods	method	NOUN
ajst-10997	105	17	.	.	PUNCT
ajst-10997	106	1	a	a	DET
ajst-10997	106	2	convolutional	convolutional	ADJ
ajst-10997	106	3	informer	informer	ADJ
ajst-10997	106	4	network	network	NOUN
ajst-10997	106	5	-	-	PUNCT
ajst-10997	106	6	based	base	VERB
ajst-10997	106	7	method	method	NOUN
ajst-10997	106	8	to	to	PART
ajst-10997	106	9	calculate	calculate	VERB
ajst-10997	106	10	the	the	DET
ajst-10997	106	11	soc	soc	NOUN
ajst-10997	106	12	of	of	ADP
ajst-10997	106	13	lithium	lithium	NOUN
ajst-10997	106	14	-	-	PUNCT
ajst-10997	106	15	ion	ion	NOUN
ajst-10997	106	16	batteries	battery	NOUN
ajst-10997	106	17	is	be	AUX
ajst-10997	106	18	suggested	suggest	VERB
ajst-10997	106	19	by	by	ADP
ajst-10997	106	20	zou	zou	PROPN
ajst-10997	106	21	runmin[23	runmin[23	PROPN
ajst-10997	106	22	]	]	PUNCT
ajst-10997	106	23	.	.	PUNCT
ajst-10997	107	1	cnn+lstm	cnn+lstm	NOUN
ajst-10997	107	2	is	be	AUX
ajst-10997	107	3	the	the	DET
ajst-10997	107	4	proposed	propose	VERB
ajst-10997	107	5	algorithm	algorithm	NOUN
ajst-10997	107	6	by	by	ADP
ajst-10997	107	7	li	li	PROPN
ajst-10997	107	8	jiarui[24	jiarui[24	PROPN
ajst-10997	107	9	]	]	PUNCT
ajst-10997	107	10	.	.	PUNCT
ajst-10997	108	1	the	the	DET
ajst-10997	108	2	cnn+lstm	cnn+lstm	NOUN
ajst-10997	108	3	algorithm	algorithm	NOUN
ajst-10997	108	4	performs	perform	VERB
ajst-10997	108	5	soc	soc	NOUN
ajst-10997	108	6	estimation	estimation	NOUN
ajst-10997	108	7	by	by	ADP
ajst-10997	108	8	combining	combine	VERB
ajst-10997	108	9	cnn	cnn	PROPN
ajst-10997	108	10	and	and	CCONJ
ajst-10997	108	11	lstm	lstm	NOUN
ajst-10997	108	12	to	to	PART
ajst-10997	108	13	extract	extract	VERB
ajst-10997	108	14	features	feature	NOUN
ajst-10997	108	15	from	from	ADP
ajst-10997	108	16	lithium	lithium	NOUN
ajst-10997	108	17	-	-	PUNCT
ajst-10997	108	18	ion	ion	NOUN
ajst-10997	108	19	battery	battery	NOUN
ajst-10997	108	20	data	datum	NOUN
ajst-10997	108	21	.	.	PUNCT
ajst-10997	109	1	el	el	PROPN
ajst-10997	109	2	fallah	fallah	PROPN
ajst-10997	109	3	,	,	PUNCT
ajst-10997	109	4	saad	saad	PROPN
ajst-10997	109	5	employs	employ	VERB
ajst-10997	109	6	a	a	DET
ajst-10997	109	7	very	very	ADV
ajst-10997	109	8	intricate	intricate	ADJ
ajst-10997	109	9	gru	gru	NOUN
ajst-10997	109	10	network	network	NOUN
ajst-10997	109	11	strategy	strategy	NOUN
ajst-10997	109	12	.	.	PUNCT
ajst-10997	110	1	almaita	almaita	PROPN
ajst-10997	110	2	and	and	CCONJ
ajst-10997	110	3	eyad	eyad	NOUN
ajst-10997	110	4	proposed	propose	VERB
ajst-10997	110	5	utilizing	utilize	VERB
ajst-10997	110	6	the	the	DET
ajst-10997	110	7	lstm	lstm	ADJ
ajst-10997	110	8	algorithm	algorithm	NOUN
ajst-10997	110	9	to	to	PART
ajst-10997	110	10	estimate	estimate	VERB
ajst-10997	110	11	the	the	DET
ajst-10997	110	12	soc	soc	NOUN
ajst-10997	110	13	of	of	ADP
ajst-10997	110	14	a	a	DET
ajst-10997	110	15	collection	collection	NOUN
ajst-10997	110	16	of	of	ADP
ajst-10997	110	17	lithium	lithium	NOUN
ajst-10997	110	18	-	-	PUNCT
ajst-10997	110	19	ion	ion	NOUN
ajst-10997	110	20	batteries	battery	NOUN
ajst-10997	110	21	.	.	PUNCT
ajst-10997	111	1	a	a	DET
ajst-10997	111	2	technique	technique	NOUN
ajst-10997	111	3	based	base	VERB
ajst-10997	111	4	on	on	ADP
ajst-10997	111	5	temporal	temporal	ADJ
ajst-10997	111	6	convolutional	convolutional	ADJ
ajst-10997	111	7	network	network	NOUN
ajst-10997	111	8	and	and	CCONJ
ajst-10997	111	9	transfer	transfer	NOUN
ajst-10997	111	10	learning	learning	NOUN
ajst-10997	111	11	was	be	AUX
ajst-10997	111	12	proposed	propose	VERB
ajst-10997	111	13	by	by	ADP
ajst-10997	111	14	liu	liu	PROPN
ajst-10997	111	15	yuefeng[25	yuefeng[25	PROPN
ajst-10997	111	16	]	]	X
ajst-10997	111	17	.	.	PUNCT
ajst-10997	112	1	3	3	X
ajst-10997	112	2	.	.	X
ajst-10997	112	3	methodology	methodology	NOUN
ajst-10997	112	4	3.1	3.1	NUM
ajst-10997	112	5	.	.	PUNCT
ajst-10997	113	1	data	datum	NOUN
ajst-10997	113	2	preprocessing	preprocesse	VERB
ajst-10997	113	3	the	the	DET
ajst-10997	113	4	cacle	cacle	NOUN
ajst-10997	113	5	dataset	dataset	VERB
ajst-10997	113	6	from	from	ADP
ajst-10997	113	7	the	the	DET
ajst-10997	113	8	university	university	PROPN
ajst-10997	113	9	of	of	ADP
ajst-10997	113	10	maryland	maryland	PROPN
ajst-10997	113	11	is	be	AUX
ajst-10997	113	12	used	use	VERB
ajst-10997	113	13	in	in	ADP
ajst-10997	113	14	this	this	DET
ajst-10997	113	15	paper	paper	NOUN
ajst-10997	113	16	.	.	PUNCT
ajst-10997	114	1	it	it	PRON
ajst-10997	114	2	is	be	AUX
ajst-10997	114	3	a	a	DET
ajst-10997	114	4	public	public	ADJ
ajst-10997	114	5	dataset	dataset	NOUN
ajst-10997	114	6	.	.	PUNCT
ajst-10997	115	1	the	the	DET
ajst-10997	115	2	data	datum	NOUN
ajst-10997	115	3	set	set	VERB
ajst-10997	115	4	selected	select	VERB
ajst-10997	115	5	in	in	ADP
ajst-10997	115	6	this	this	DET
ajst-10997	115	7	paper	paper	NOUN
ajst-10997	115	8	contains	contain	VERB
ajst-10997	115	9	columns	column	NOUN
ajst-10997	115	10	such	such	ADJ
ajst-10997	115	11	as	as	ADP
ajst-10997	115	12	step	step	NOUN
ajst-10997	115	13	-	-	PUNCT
ajst-10997	115	14	time	time	NOUN
ajst-10997	115	15	and	and	CCONJ
ajst-10997	115	16	stepindex	stepindex	NOUN
ajst-10997	115	17	,	,	PUNCT
ajst-10997	115	18	which	which	PRON
ajst-10997	115	19	do	do	AUX
ajst-10997	115	20	not	not	PART
ajst-10997	115	21	affect	affect	VERB
ajst-10997	115	22	the	the	DET
ajst-10997	115	23	change	change	NOUN
ajst-10997	115	24	of	of	ADP
ajst-10997	115	25	soc[26	soc[26	NOUN
ajst-10997	115	26	]	]	PUNCT
ajst-10997	115	27	during	during	ADP
ajst-10997	115	28	processing	processing	NOUN
ajst-10997	115	29	.	.	PUNCT
ajst-10997	116	1	second	second	ADV
ajst-10997	116	2	,	,	PUNCT
ajst-10997	116	3	there	there	PRON
ajst-10997	116	4	is	be	VERB
ajst-10997	116	5	a	a	DET
ajst-10997	116	6	correlation	correlation	NOUN
ajst-10997	116	7	between	between	ADP
ajst-10997	116	8	step	step	NOUN
ajst-10997	116	9	time	time	NOUN
ajst-10997	116	10	and	and	CCONJ
ajst-10997	116	11	test	test	NOUN
ajst-10997	116	12	time	time	NOUN
ajst-10997	116	13	,	,	PUNCT
ajst-10997	116	14	so	so	CCONJ
ajst-10997	116	15	only	only	ADV
ajst-10997	116	16	one	one	NUM
ajst-10997	116	17	column	column	NOUN
ajst-10997	116	18	of	of	ADP
ajst-10997	116	19	features	feature	NOUN
ajst-10997	116	20	is	be	AUX
ajst-10997	116	21	needed	need	VERB
ajst-10997	116	22	to	to	PART
ajst-10997	116	23	express	express	VERB
ajst-10997	116	24	it	it	PRON
ajst-10997	116	25	.	.	PUNCT
ajst-10997	117	1	typically	typically	ADV
ajst-10997	117	2	,	,	PUNCT
ajst-10997	117	3	null	null	ADJ
ajst-10997	117	4	values	value	NOUN
ajst-10997	117	5	are	be	AUX
ajst-10997	117	6	filled	fill	VERB
ajst-10997	117	7	in	in	ADP
ajst-10997	117	8	at	at	ADP
ajst-10997	117	9	this	this	DET
ajst-10997	117	10	stage	stage	NOUN
ajst-10997	117	11	.	.	PUNCT
ajst-10997	118	1	typically	typically	ADV
ajst-10997	118	2	,	,	PUNCT
ajst-10997	118	3	mean	mean	VERB
ajst-10997	118	4	filling	filling	NOUN
ajst-10997	118	5	is	be	AUX
ajst-10997	118	6	used	use	VERB
ajst-10997	118	7	.	.	PUNCT
ajst-10997	119	1	3.2	3.2	NUM
ajst-10997	119	2	.	.	PUNCT
ajst-10997	119	3	selection	selection	NOUN
ajst-10997	119	4	of	of	ADP
ajst-10997	119	5	hyperparameters	hyperparameter	NOUN
ajst-10997	119	6	this	this	DET
ajst-10997	119	7	paper	paper	NOUN
ajst-10997	119	8	is	be	AUX
ajst-10997	119	9	a	a	DET
ajst-10997	119	10	regression	regression	NOUN
ajst-10997	119	11	problem	problem	NOUN
ajst-10997	119	12	,	,	PUNCT
ajst-10997	119	13	so	so	CCONJ
ajst-10997	119	14	the	the	DET
ajst-10997	119	15	selection	selection	NOUN
ajst-10997	119	16	of	of	ADP
ajst-10997	119	17	the	the	DET
ajst-10997	119	18	cost	cost	NOUN
ajst-10997	119	19	function	function	NOUN
ajst-10997	119	20	follows	follow	VERB
ajst-10997	119	21	the	the	DET
ajst-10997	119	22	basic	basic	ADJ
ajst-10997	119	23	loss	loss	NOUN
ajst-10997	119	24	function	function	NOUN
ajst-10997	119	25	of	of	ADP
ajst-10997	119	26	regression	regression	NOUN
ajst-10997	119	27	problems	problem	NOUN
ajst-10997	119	28	.	.	PUNCT
ajst-10997	120	1	the	the	DET
ajst-10997	120	2	mean	mean	ADJ
ajst-10997	120	3	squared	square	VERB
ajst-10997	120	4	error	error	NOUN
ajst-10997	120	5	is	be	AUX
ajst-10997	120	6	used	use	VERB
ajst-10997	120	7	in	in	ADP
ajst-10997	120	8	this	this	DET
ajst-10997	120	9	paper	paper	NOUN
ajst-10997	120	10	.	.	PUNCT
ajst-10997	121	1	sigmoid	sigmoid	NOUN
ajst-10997	121	2	and	and	CCONJ
ajst-10997	121	3	tanh	tanh	PROPN
ajst-10997	121	4	functions	function	NOUN
ajst-10997	121	5	are	be	AUX
ajst-10997	121	6	used	use	VERB
ajst-10997	121	7	as	as	ADP
ajst-10997	121	8	activation	activation	NOUN
ajst-10997	121	9	functions	function	NOUN
ajst-10997	121	10	.	.	PUNCT
ajst-10997	122	1	other	other	ADJ
ajst-10997	122	2	hyperparameters	hyperparameter	NOUN
ajst-10997	122	3	are	be	AUX
ajst-10997	122	4	the	the	DET
ajst-10997	122	5	width	width	NOUN
ajst-10997	122	6	of	of	ADP
ajst-10997	122	7	the	the	DET
ajst-10997	122	8	network	network	NOUN
ajst-10997	122	9	and	and	CCONJ
ajst-10997	122	10	the	the	DET
ajst-10997	122	11	length	length	NOUN
ajst-10997	122	12	of	of	ADP
ajst-10997	122	13	batchsize[27	batchsize[27	NOUN
ajst-10997	122	14	]	]	PUNCT
ajst-10997	122	15	.	.	PUNCT
ajst-10997	123	1	there	there	PRON
ajst-10997	123	2	is	be	VERB
ajst-10997	123	3	also	also	ADV
ajst-10997	123	4	the	the	DET
ajst-10997	123	5	size	size	NOUN
ajst-10997	123	6	of	of	ADP
ajst-10997	123	7	the	the	DET
ajst-10997	123	8	epoch[28	epoch[28	NOUN
ajst-10997	123	9	]	]	PUNCT
ajst-10997	123	10	.	.	PUNCT
ajst-10997	124	1	there	there	PRON
ajst-10997	124	2	is	be	VERB
ajst-10997	124	3	also	also	ADV
ajst-10997	124	4	the	the	DET
ajst-10997	124	5	depth	depth	NOUN
ajst-10997	124	6	of	of	ADP
ajst-10997	124	7	the	the	DET
ajst-10997	124	8	network	network	NOUN
ajst-10997	124	9	.	.	PUNCT
ajst-10997	125	1	3.3	3.3	NUM
ajst-10997	125	2	.	.	PUNCT
ajst-10997	125	3	gru	gru	PROPN
ajst-10997	125	4	networks	networks	PROPN
ajst-10997	125	5	gru	gru	PROPN
ajst-10997	125	6	algorithm	algorithm	PROPN
ajst-10997	125	7	is	be	AUX
ajst-10997	125	8	a	a	DET
ajst-10997	125	9	typical	typical	ADJ
ajst-10997	125	10	algorithm	algorithm	NOUN
ajst-10997	125	11	in	in	ADP
ajst-10997	125	12	recurrent	recurrent	ADJ
ajst-10997	125	13	neural	neural	ADJ
ajst-10997	125	14	networks	network	NOUN
ajst-10997	125	15	.	.	PUNCT
ajst-10997	126	1	figure	figure	NOUN
ajst-10997	126	2	1	1	NUM
ajst-10997	126	3	represents	represent	VERB
ajst-10997	126	4	the	the	DET
ajst-10997	126	5	basic	basic	ADJ
ajst-10997	126	6	structure	structure	NOUN
ajst-10997	126	7	of	of	ADP
ajst-10997	126	8	the	the	DET
ajst-10997	126	9	gru	gru	NOUN
ajst-10997	126	10	network	network	NOUN
ajst-10997	126	11	.	.	PUNCT
ajst-10997	127	1	it	it	PRON
ajst-10997	127	2	solves	solve	VERB
ajst-10997	127	3	the	the	DET
ajst-10997	127	4	problem	problem	NOUN
ajst-10997	127	5	of	of	ADP
ajst-10997	127	6	long	long	ADJ
ajst-10997	127	7	-	-	PUNCT
ajst-10997	127	8	term	term	NOUN
ajst-10997	127	9	dependence	dependence	NOUN
ajst-10997	127	10	on	on	ADP
ajst-10997	127	11	92	92	NUM
ajst-10997	127	12	recurrent	recurrent	ADJ
ajst-10997	127	13	neural	neural	ADJ
ajst-10997	127	14	networks	network	NOUN
ajst-10997	127	15	.	.	PUNCT
ajst-10997	128	1	it	it	PRON
ajst-10997	128	2	is	be	AUX
ajst-10997	128	3	also	also	ADV
ajst-10997	128	4	much	much	ADV
ajst-10997	128	5	faster	fast	ADJ
ajst-10997	128	6	than	than	ADP
ajst-10997	128	7	lstm	lstm	ADJ
ajst-10997	128	8	.	.	PUNCT
ajst-10997	129	1	and	and	CCONJ
ajst-10997	129	2	the	the	DET
ajst-10997	129	3	gru	gru	NOUN
ajst-10997	129	4	algorithm	algorithm	NOUN
ajst-10997	129	5	is	be	AUX
ajst-10997	129	6	simpler	simple	ADJ
ajst-10997	129	7	than	than	ADP
ajst-10997	129	8	the	the	DET
ajst-10997	129	9	lstm[29	lstm[29	NOUN
ajst-10997	129	10	]	]	X
ajst-10997	129	11	algorithm	algorithm	NOUN
ajst-10997	129	12	in	in	ADP
ajst-10997	129	13	structure	structure	NOUN
ajst-10997	129	14	and	and	CCONJ
ajst-10997	129	15	idea	idea	NOUN
ajst-10997	129	16	.	.	PUNCT
ajst-10997	130	1	lstm	lstm	NOUN
ajst-10997	130	2	is	be	AUX
ajst-10997	130	3	a	a	DET
ajst-10997	130	4	special	special	ADJ
ajst-10997	130	5	kind	kind	NOUN
ajst-10997	130	6	of	of	ADP
ajst-10997	130	7	rnn	rnn	NOUN
ajst-10997	130	8	model	model	NOUN
ajst-10997	130	9	.	.	PUNCT
ajst-10997	131	1	the	the	DET
ajst-10997	131	2	memory	memory	NOUN
ajst-10997	131	3	unit	unit	NOUN
ajst-10997	131	4	of	of	ADP
ajst-10997	131	5	rnn[30	rnn[30	PROPN
ajst-10997	131	6	]	]	PUNCT
ajst-10997	131	7	is	be	AUX
ajst-10997	131	8	improved	improve	VERB
ajst-10997	131	9	to	to	PART
ajst-10997	131	10	overcome	overcome	VERB
ajst-10997	131	11	the	the	DET
ajst-10997	131	12	problem	problem	NOUN
ajst-10997	131	13	of	of	ADP
ajst-10997	131	14	vanishing	vanish	VERB
ajst-10997	131	15	gradient	gradient	NOUN
ajst-10997	131	16	.	.	PUNCT
ajst-10997	132	1	it	it	PRON
ajst-10997	132	2	mainly	mainly	ADV
ajst-10997	132	3	includes	include	VERB
ajst-10997	132	4	three	three	NUM
ajst-10997	132	5	gates	gate	NOUN
ajst-10997	132	6	,	,	PUNCT
ajst-10997	132	7	an	an	DET
ajst-10997	132	8	input	input	NOUN
ajst-10997	132	9	gate	gate	NOUN
ajst-10997	132	10	,	,	PUNCT
ajst-10997	132	11	an	an	DET
ajst-10997	132	12	output	output	NOUN
ajst-10997	132	13	gate	gate	NOUN
ajst-10997	132	14	,	,	PUNCT
ajst-10997	132	15	and	and	CCONJ
ajst-10997	132	16	a	a	DET
ajst-10997	132	17	forget	forget	NOUN
ajst-10997	132	18	gate	gate	NOUN
ajst-10997	132	19	.	.	PUNCT
ajst-10997	133	1	the	the	DET
ajst-10997	133	2	input	input	NOUN
ajst-10997	133	3	is	be	AUX
ajst-10997	133	4	the	the	DET
ajst-10997	133	5	current	current	ADJ
ajst-10997	133	6	time	time	NOUN
ajst-10997	133	7	xt	xt	ADP
ajst-10997	133	8	,	,	PUNCT
ajst-10997	133	9	and	and	CCONJ
ajst-10997	133	10	the	the	DET
ajst-10997	133	11	hidden	hidden	ADJ
ajst-10997	133	12	state	state	NOUN
ajst-10997	133	13	from	from	ADP
ajst-10997	133	14	the	the	DET
ajst-10997	133	15	previous	previous	ADJ
ajst-10997	133	16	time	time	NOUN
ajst-10997	133	17	.	.	PUNCT
ajst-10997	134	1	gru	gru	PROPN
ajst-10997	134	2	is	be	AUX
ajst-10997	134	3	an	an	DET
ajst-10997	134	4	improved	improved	ADJ
ajst-10997	134	5	model	model	NOUN
ajst-10997	134	6	based	base	VERB
ajst-10997	134	7	on	on	ADP
ajst-10997	134	8	lstm	lstm	PROPN
ajst-10997	134	9	,	,	PUNCT
ajst-10997	134	10	and	and	CCONJ
ajst-10997	134	11	the	the	DET
ajst-10997	134	12	two	two	NUM
ajst-10997	134	13	principles	principle	NOUN
ajst-10997	134	14	are	be	AUX
ajst-10997	134	15	similar	similar	ADJ
ajst-10997	134	16	.	.	PUNCT
ajst-10997	135	1	compared	compare	VERB
ajst-10997	135	2	with	with	ADP
ajst-10997	135	3	lstm	lstm	ADJ
ajst-10997	135	4	,	,	PUNCT
ajst-10997	135	5	gru[1	gru[1	PROPN
ajst-10997	135	6	,	,	PUNCT
ajst-10997	135	7	31	31	NUM
ajst-10997	135	8	]	]	PUNCT
ajst-10997	135	9	has	have	VERB
ajst-10997	135	10	a	a	DET
ajst-10997	135	11	simpler	simple	ADJ
ajst-10997	135	12	network	network	NOUN
ajst-10997	135	13	structure	structure	NOUN
ajst-10997	135	14	,	,	PUNCT
ajst-10997	135	15	fewer	few	ADJ
ajst-10997	135	16	parameters	parameter	NOUN
ajst-10997	135	17	,	,	PUNCT
ajst-10997	135	18	and	and	CCONJ
ajst-10997	135	19	faster	fast	ADJ
ajst-10997	135	20	convergence	convergence	NOUN
ajst-10997	135	21	.	.	PUNCT
ajst-10997	136	1	specifically	specifically	ADV
ajst-10997	136	2	,	,	PUNCT
ajst-10997	136	3	gru	gru	PROPN
ajst-10997	136	4	lacks	lack	VERB
ajst-10997	136	5	forgetting	forget	VERB
ajst-10997	136	6	gates	gate	NOUN
ajst-10997	136	7	and	and	CCONJ
ajst-10997	136	8	units	unit	NOUN
ajst-10997	136	9	,	,	PUNCT
ajst-10997	136	10	which	which	PRON
ajst-10997	136	11	are	be	AUX
ajst-10997	136	12	updated	update	VERB
ajst-10997	136	13	to	to	PART
ajst-10997	136	14	control	control	VERB
ajst-10997	136	15	the	the	DET
ajst-10997	136	16	information	information	NOUN
ajst-10997	136	17	transfer	transfer	NOUN
ajst-10997	136	18	at	at	ADP
ajst-10997	136	19	the	the	DET
ajst-10997	136	20	previous	previous	ADJ
ajst-10997	136	21	moment	moment	NOUN
ajst-10997	136	22	and	and	CCONJ
ajst-10997	136	23	the	the	DET
ajst-10997	136	24	hidden	hide	VERB
ajst-10997	136	25	layer	layer	NOUN
ajst-10997	136	26	computed	compute	VERB
ajst-10997	136	27	at	at	ADP
ajst-10997	136	28	the	the	DET
ajst-10997	136	29	current	current	ADJ
ajst-10997	136	30	moment	moment	NOUN
ajst-10997	136	31	.	.	PUNCT
ajst-10997	137	1	figure	figure	VERB
ajst-10997	137	2	1	1	NUM
ajst-10997	137	3	.	.	PUNCT
ajst-10997	137	4	gru	gru	NOUN
ajst-10997	137	5	network	network	NOUN
ajst-10997	137	6	.	.	PUNCT
ajst-10997	138	1	𝑅	𝑅	NOUN
ajst-10997	138	2	𝜎	𝜎	NOUN
ajst-10997	138	3	𝑋	𝑋	NOUN
ajst-10997	138	4	𝑊	𝑊	PROPN
ajst-10997	138	5	𝐻	𝐻	NOUN
ajst-10997	138	6	𝑊	𝑊	PROPN
ajst-10997	138	7	𝐵	𝐵	NOUN
ajst-10997	138	8	(	(	PUNCT
ajst-10997	138	9	1	1	NUM
ajst-10997	138	10	)	)	PUNCT
ajst-10997	138	11	𝑍	𝑍	VERB
ajst-10997	138	12	𝜎	𝜎	NOUN
ajst-10997	138	13	𝑋	𝑋	NOUN
ajst-10997	138	14	𝑊	𝑊	PROPN
ajst-10997	138	15	𝐻	𝐻	NOUN
ajst-10997	138	16	𝑊	𝑊	PROPN
ajst-10997	138	17	𝐵	𝐵	NOUN
ajst-10997	138	18	(	(	PUNCT
ajst-10997	138	19	2	2	X
ajst-10997	138	20	)	)	PUNCT
ajst-10997	138	21	𝐻	𝐻	NOUN
ajst-10997	138	22	tanh	tanh	NOUN
ajst-10997	138	23	𝑋	𝑋	PROPN
ajst-10997	138	24	𝑊	𝑊	PROPN
ajst-10997	138	25	𝑅	𝑅	PROPN
ajst-10997	138	26	⨀𝐻	⨀𝐻	CCONJ
ajst-10997	138	27	𝑊	𝑊	PROPN
ajst-10997	138	28	𝐵	𝐵	NOUN
ajst-10997	138	29	(	(	PUNCT
ajst-10997	138	30	3	3	X
ajst-10997	138	31	)	)	PUNCT
ajst-10997	138	32	𝐻	𝐻	PROPN
ajst-10997	138	33	𝑍	𝑍	PROPN
ajst-10997	138	34	⨀𝐻	⨀𝐻	SYM
ajst-10997	138	35	1	1	NUM
ajst-10997	138	36	𝑍	𝑍	PROPN
ajst-10997	138	37	⨀𝐻	⨀𝐻	X
ajst-10997	138	38	(	(	PUNCT
ajst-10997	138	39	4	4	NUM
ajst-10997	138	40	)	)	PUNCT
ajst-10997	138	41	gru	gru	NOUN
ajst-10997	138	42	network	network	NOUN
ajst-10997	138	43	is	be	AUX
ajst-10997	138	44	able	able	ADJ
ajst-10997	138	45	to	to	PART
ajst-10997	138	46	alleviate	alleviate	VERB
ajst-10997	138	47	the	the	DET
ajst-10997	138	48	problem	problem	NOUN
ajst-10997	138	49	of	of	ADP
ajst-10997	138	50	long	long	ADJ
ajst-10997	138	51	-	-	PUNCT
ajst-10997	138	52	term	term	NOUN
ajst-10997	138	53	dependence	dependence	NOUN
ajst-10997	138	54	and	and	CCONJ
ajst-10997	138	55	gradient	gradient	ADJ
ajst-10997	138	56	disappearance	disappearance	NOUN
ajst-10997	138	57	.	.	PUNCT
ajst-10997	139	1	however	however	ADV
ajst-10997	139	2	,	,	PUNCT
ajst-10997	139	3	gru	gru	PROPN
ajst-10997	139	4	networks	network	NOUN
ajst-10997	139	5	have	have	VERB
ajst-10997	139	6	the	the	DET
ajst-10997	139	7	following	follow	VERB
ajst-10997	139	8	drawbacks	drawback	NOUN
ajst-10997	139	9	.	.	PUNCT
ajst-10997	140	1	first	first	ADV
ajst-10997	140	2	,	,	PUNCT
ajst-10997	140	3	it	it	PRON
ajst-10997	140	4	is	be	AUX
ajst-10997	140	5	based	base	VERB
ajst-10997	140	6	on	on	ADP
ajst-10997	140	7	recurrent	recurrent	ADJ
ajst-10997	140	8	neural	neural	ADJ
ajst-10997	140	9	network	network	NOUN
ajst-10997	140	10	algorithm	algorithm	NOUN
ajst-10997	140	11	,	,	PUNCT
ajst-10997	140	12	so	so	SCONJ
ajst-10997	140	13	it	it	PRON
ajst-10997	140	14	does	do	AUX
ajst-10997	140	15	not	not	PART
ajst-10997	140	16	fully	fully	ADV
ajst-10997	140	17	solve	solve	VERB
ajst-10997	140	18	the	the	DET
ajst-10997	140	19	problem	problem	NOUN
ajst-10997	140	20	of	of	ADP
ajst-10997	140	21	long	long	ADJ
ajst-10997	140	22	-	-	PUNCT
ajst-10997	140	23	term	term	NOUN
ajst-10997	140	24	dependence	dependence	NOUN
ajst-10997	140	25	.	.	PUNCT
ajst-10997	141	1	second	second	ADJ
ajst-10997	141	2	,	,	PUNCT
ajst-10997	141	3	due	due	ADP
ajst-10997	141	4	to	to	ADP
ajst-10997	141	5	its	its	PRON
ajst-10997	141	6	own	own	ADJ
ajst-10997	141	7	properties	property	NOUN
ajst-10997	141	8	,	,	PUNCT
ajst-10997	141	9	the	the	DET
ajst-10997	141	10	value	value	NOUN
ajst-10997	141	11	of	of	ADP
ajst-10997	141	12	h	h	NOUN
ajst-10997	141	13	at	at	ADP
ajst-10997	141	14	the	the	DET
ajst-10997	141	15	current	current	ADJ
ajst-10997	141	16	time	time	NOUN
ajst-10997	141	17	depends	depend	VERB
ajst-10997	141	18	on	on	ADP
ajst-10997	141	19	the	the	DET
ajst-10997	141	20	value	value	NOUN
ajst-10997	141	21	of	of	ADP
ajst-10997	141	22	h	h	NOUN
ajst-10997	141	23	at	at	ADP
ajst-10997	141	24	the	the	DET
ajst-10997	141	25	previous	previous	ADJ
ajst-10997	141	26	time	time	NOUN
ajst-10997	141	27	.	.	PUNCT
ajst-10997	142	1	this	this	PRON
ajst-10997	142	2	leads	lead	VERB
ajst-10997	142	3	to	to	ADP
ajst-10997	142	4	the	the	DET
ajst-10997	142	5	gru	gru	NOUN
ajst-10997	142	6	network	network	NOUN
ajst-10997	142	7	can	can	AUX
ajst-10997	142	8	not	not	PART
ajst-10997	142	9	carry	carry	VERB
ajst-10997	142	10	out	out	ADP
ajst-10997	142	11	large	large	ADJ
ajst-10997	142	12	-	-	PUNCT
ajst-10997	142	13	scale	scale	NOUN
ajst-10997	142	14	parallel	parallel	ADJ
ajst-10997	142	15	computing	computing	NOUN
ajst-10997	142	16	.	.	PUNCT
ajst-10997	143	1	third	third	ADJ
ajst-10997	143	2	,	,	PUNCT
ajst-10997	143	3	the	the	DET
ajst-10997	143	4	gru	gru	NOUN
ajst-10997	143	5	network	network	NOUN
ajst-10997	143	6	itself	itself	PRON
ajst-10997	143	7	is	be	AUX
ajst-10997	143	8	not	not	PART
ajst-10997	143	9	enough	enough	ADJ
ajst-10997	143	10	to	to	PART
ajst-10997	143	11	pay	pay	VERB
ajst-10997	143	12	attention	attention	NOUN
ajst-10997	143	13	to	to	ADP
ajst-10997	143	14	the	the	DET
ajst-10997	143	15	influence	influence	NOUN
ajst-10997	143	16	of	of	ADP
ajst-10997	143	17	ultra	ultra	ADJ
ajst-10997	143	18	-	-	ADJ
ajst-10997	143	19	long	long	ADJ
ajst-10997	143	20	time	time	NOUN
ajst-10997	143	21	variables	variable	NOUN
ajst-10997	143	22	simultaneously	simultaneously	ADV
ajst-10997	143	23	.	.	PUNCT
ajst-10997	144	1	that	that	PRON
ajst-10997	144	2	is	is	ADV
ajst-10997	144	3	,	,	PUNCT
ajst-10997	144	4	it	it	PRON
ajst-10997	144	5	does	do	AUX
ajst-10997	144	6	not	not	PART
ajst-10997	144	7	have	have	VERB
ajst-10997	144	8	a	a	DET
ajst-10997	144	9	global	global	ADJ
ajst-10997	144	10	attention	attention	NOUN
ajst-10997	144	11	mechanism	mechanism	NOUN
ajst-10997	144	12	by	by	ADP
ajst-10997	144	13	itself	itself	PRON
ajst-10997	144	14	.	.	PUNCT
ajst-10997	145	1	the	the	DET
ajst-10997	145	2	value	value	NOUN
ajst-10997	145	3	of	of	ADP
ajst-10997	145	4	h	h	NOUN
ajst-10997	145	5	at	at	ADP
ajst-10997	145	6	the	the	DET
ajst-10997	145	7	current	current	ADJ
ajst-10997	145	8	time	time	NOUN
ajst-10997	145	9	is	be	AUX
ajst-10997	145	10	the	the	DET
ajst-10997	145	11	result	result	NOUN
ajst-10997	145	12	obtained	obtain	VERB
ajst-10997	145	13	by	by	ADP
ajst-10997	145	14	combining	combine	VERB
ajst-10997	145	15	the	the	DET
ajst-10997	145	16	factors	factor	NOUN
ajst-10997	145	17	of	of	ADP
ajst-10997	145	18	the	the	DET
ajst-10997	145	19	values	value	NOUN
ajst-10997	145	20	of	of	ADP
ajst-10997	145	21	h	h	NOUN
ajst-10997	145	22	at	at	ADV
ajst-10997	145	23	all	all	DET
ajst-10997	145	24	previous	previous	ADJ
ajst-10997	145	25	times	time	NOUN
ajst-10997	145	26	.	.	PUNCT
ajst-10997	146	1	when	when	SCONJ
ajst-10997	146	2	the	the	DET
ajst-10997	146	3	time	time	NOUN
ajst-10997	146	4	series	series	PROPN
ajst-10997	146	5	are	be	AUX
ajst-10997	146	6	too	too	ADV
ajst-10997	146	7	long	long	ADV
ajst-10997	146	8	apart	apart	ADV
ajst-10997	146	9	,	,	PUNCT
ajst-10997	146	10	it	it	PRON
ajst-10997	146	11	will	will	AUX
ajst-10997	146	12	perform	perform	VERB
ajst-10997	146	13	insufficient	insufficient	ADJ
ajst-10997	146	14	comprehensive	comprehensive	ADJ
ajst-10997	146	15	transmission	transmission	NOUN
ajst-10997	146	16	ability	ability	NOUN
ajst-10997	146	17	of	of	ADP
ajst-10997	146	18	influence	influence	NOUN
ajst-10997	146	19	.	.	PUNCT
ajst-10997	147	1	3.4	3.4	NUM
ajst-10997	147	2	.	.	PUNCT
ajst-10997	147	3	self	self	NOUN
ajst-10997	147	4	-	-	PUNCT
ajst-10997	147	5	attention	attention	NOUN
ajst-10997	147	6	mechanisms	mechanism	NOUN
ajst-10997	147	7	the	the	DET
ajst-10997	147	8	attention	attention	NOUN
ajst-10997	147	9	mechanism	mechanism	NOUN
ajst-10997	147	10	is	be	AUX
ajst-10997	147	11	actually	actually	ADV
ajst-10997	147	12	an	an	DET
ajst-10997	147	13	attempt	attempt	NOUN
ajst-10997	147	14	to	to	PART
ajst-10997	147	15	apply	apply	VERB
ajst-10997	147	16	human	human	ADJ
ajst-10997	147	17	perception	perception	NOUN
ajst-10997	147	18	,	,	PUNCT
ajst-10997	147	19	and	and	CCONJ
ajst-10997	147	20	attentional	attentional	ADJ
ajst-10997	147	21	behavior	behavior	NOUN
ajst-10997	147	22	,	,	PUNCT
ajst-10997	147	23	to	to	ADP
ajst-10997	147	24	the	the	DET
ajst-10997	147	25	machine	machine	NOUN
ajst-10997	147	26	so	so	SCONJ
ajst-10997	147	27	that	that	SCONJ
ajst-10997	147	28	the	the	DET
ajst-10997	147	29	machine	machine	NOUN
ajst-10997	147	30	learns	learn	VERB
ajst-10997	147	31	to	to	PART
ajst-10997	147	32	perceive	perceive	VERB
ajst-10997	147	33	the	the	DET
ajst-10997	147	34	important	important	ADJ
ajst-10997	147	35	and	and	CCONJ
ajst-10997	147	36	unimportant	unimportant	ADJ
ajst-10997	147	37	parts	part	NOUN
ajst-10997	147	38	of	of	ADP
ajst-10997	147	39	the	the	DET
ajst-10997	147	40	data	datum	NOUN
ajst-10997	147	41	.	.	PUNCT
ajst-10997	148	1	the	the	DET
ajst-10997	148	2	weight	weight	NOUN
ajst-10997	148	3	assigned	assign	VERB
ajst-10997	148	4	to	to	ADP
ajst-10997	148	5	each	each	DET
ajst-10997	148	6	input	input	NOUN
ajst-10997	148	7	item	item	NOUN
ajst-10997	148	8	depends	depend	VERB
ajst-10997	148	9	on	on	ADP
ajst-10997	148	10	the	the	DET
ajst-10997	148	11	interaction	interaction	NOUN
ajst-10997	148	12	between	between	ADP
ajst-10997	148	13	the	the	DET
ajst-10997	148	14	input	input	NOUN
ajst-10997	148	15	items	item	NOUN
ajst-10997	148	16	,	,	PUNCT
ajst-10997	148	17	i.e.	i.e.	X
ajst-10997	148	18	,	,	PUNCT
ajst-10997	148	19	a	a	DET
ajst-10997	148	20	"	"	PUNCT
ajst-10997	148	21	vote	vote	NOUN
ajst-10997	148	22	"	"	PUNCT
ajst-10997	148	23	within	within	ADP
ajst-10997	148	24	the	the	DET
ajst-10997	148	25	input	input	NOUN
ajst-10997	148	26	item	item	NOUN
ajst-10997	148	27	determines	determine	NOUN
ajst-10997	148	28	which	which	PRON
ajst-10997	148	29	input	input	NOUN
ajst-10997	148	30	items	item	NOUN
ajst-10997	148	31	should	should	AUX
ajst-10997	148	32	be	be	AUX
ajst-10997	148	33	attended	attend	VERB
ajst-10997	148	34	to	to	ADP
ajst-10997	148	35	.	.	PUNCT
ajst-10997	149	1	compared	compare	VERB
ajst-10997	149	2	to	to	ADP
ajst-10997	149	3	the	the	DET
ajst-10997	149	4	first	first	ADJ
ajst-10997	149	5	two	two	NUM
ajst-10997	149	6	,	,	PUNCT
ajst-10997	149	7	this	this	PRON
ajst-10997	149	8	has	have	VERB
ajst-10997	149	9	the	the	DET
ajst-10997	149	10	advantage	advantage	NOUN
ajst-10997	149	11	of	of	ADP
ajst-10997	149	12	parallel	parallel	ADJ
ajst-10997	149	13	computing	computing	NOUN
ajst-10997	149	14	when	when	SCONJ
ajst-10997	149	15	dealing	deal	VERB
ajst-10997	149	16	with	with	ADP
ajst-10997	149	17	very	very	ADV
ajst-10997	149	18	long	long	ADJ
ajst-10997	149	19	inputs	input	NOUN
ajst-10997	149	20	.	.	PUNCT
ajst-10997	150	1	figure	figure	NOUN
ajst-10997	150	2	2	2	NUM
ajst-10997	150	3	represents	represent	VERB
ajst-10997	150	4	the	the	DET
ajst-10997	150	5	computational	computational	ADJ
ajst-10997	150	6	process	process	NOUN
ajst-10997	150	7	of	of	ADP
ajst-10997	150	8	the	the	DET
ajst-10997	150	9	self	self	NOUN
ajst-10997	150	10	-	-	PUNCT
ajst-10997	150	11	attention	attention	NOUN
ajst-10997	150	12	mechanism	mechanism	NOUN
ajst-10997	150	13	.	.	PUNCT
ajst-10997	151	1	suppose	suppose	VERB
ajst-10997	151	2	the	the	DET
ajst-10997	151	3	input	input	NOUN
ajst-10997	151	4	sequence	sequence	NOUN
ajst-10997	151	5	is	be	AUX
ajst-10997	151	6	𝑋	𝑋	PROPN
ajst-10997	151	7	𝑥	𝑥	PROPN
ajst-10997	151	8	,	,	PUNCT
ajst-10997	151	9	𝑥	𝑥	X
ajst-10997	151	10	,	,	PUNCT
ajst-10997	151	11	.	.	PUNCT
ajst-10997	151	12	.	.	PUNCT
ajst-10997	152	1	.	.	PUNCT
ajst-10997	153	1	,	,	PUNCT
ajst-10997	153	2	𝑥	𝑥	X
ajst-10997	153	3	,	,	PUNCT
ajst-10997	153	4	and	and	CCONJ
ajst-10997	153	5	the	the	DET
ajst-10997	153	6	output	output	NOUN
ajst-10997	153	7	sequence	sequence	NOUN
ajst-10997	153	8	is	be	AUX
ajst-10997	153	9	𝐻	𝐻	PROPN
ajst-10997	153	10	ℎ	ℎ	NOUN
ajst-10997	153	11	,	,	PUNCT
ajst-10997	153	12	ℎ	ℎ	PROPN
ajst-10997	153	13	,	,	PUNCT
ajst-10997	153	14	…	…	PUNCT
ajst-10997	153	15	,	,	PUNCT
ajst-10997	153	16	ℎ	ℎ	PROPN
ajst-10997	153	17	.	.	PUNCT
ajst-10997	154	1	the	the	DET
ajst-10997	154	2	calculation	calculation	NOUN
ajst-10997	154	3	procedure	procedure	NOUN
ajst-10997	154	4	of	of	ADP
ajst-10997	154	5	the	the	DET
ajst-10997	154	6	self	self	NOUN
ajst-10997	154	7	-	-	PUNCT
ajst-10997	154	8	attentive	attentive	ADJ
ajst-10997	154	9	mechanism	mechanism	NOUN
ajst-10997	154	10	is	be	AUX
ajst-10997	154	11	shown	show	VERB
ajst-10997	154	12	below	below	ADP
ajst-10997	154	13	.	.	PUNCT
ajst-10997	155	1	1	1	X
ajst-10997	155	2	)	)	PUNCT
ajst-10997	155	3	the	the	DET
ajst-10997	155	4	three	three	NUM
ajst-10997	155	5	weight	weight	NOUN
ajst-10997	155	6	matrices	matrix	NOUN
ajst-10997	155	7	are	be	AUX
ajst-10997	155	8	multiplied	multiply	VERB
ajst-10997	155	9	by	by	ADP
ajst-10997	155	10	the	the	DET
ajst-10997	155	11	input	input	NOUN
ajst-10997	155	12	matrix	matrix	NOUN
ajst-10997	155	13	x.	x.	PUNCT
ajst-10997	156	1	the	the	DET
ajst-10997	156	2	transformation	transformation	NOUN
ajst-10997	156	3	of	of	ADP
ajst-10997	156	4	x	x	PUNCT
ajst-10997	156	5	into	into	ADP
ajst-10997	156	6	three	three	NUM
ajst-10997	156	7	distinct	distinct	ADJ
ajst-10997	156	8	areas	area	NOUN
ajst-10997	156	9	.	.	PUNCT
ajst-10997	157	1	it	it	PRON
ajst-10997	157	2	acquires	acquire	VERB
ajst-10997	157	3	the	the	DET
ajst-10997	157	4	three	three	NUM
ajst-10997	157	5	matrices	matrix	NOUN
ajst-10997	157	6	q	q	NOUN
ajst-10997	157	7	,	,	PUNCT
ajst-10997	157	8	k	k	NOUN
ajst-10997	157	9	,	,	PUNCT
ajst-10997	157	10	and	and	CCONJ
ajst-10997	157	11	v.	v.	ADP
ajst-10997	157	12	the	the	DET
ajst-10997	157	13	equivalents	equivalent	NOUN
ajst-10997	157	14	of	of	ADP
ajst-10997	157	15	the	the	DET
ajst-10997	157	16	x	x	NOUN
ajst-10997	157	17	matrix	matrix	NOUN
ajst-10997	157	18	's	's	PART
ajst-10997	157	19	retrieval	retrieval	NOUN
ajst-10997	157	20	matrix	matrix	NOUN
ajst-10997	157	21	,	,	PUNCT
ajst-10997	157	22	keyword	keyword	NOUN
ajst-10997	157	23	matrix	matrix	NOUN
ajst-10997	157	24	,	,	PUNCT
ajst-10997	157	25	and	and	CCONJ
ajst-10997	157	26	value	value	NOUN
ajst-10997	157	27	matrix	matrix	NOUN
ajst-10997	157	28	are	be	AUX
ajst-10997	157	29	the	the	DET
ajst-10997	157	30	k	k	PROPN
ajst-10997	157	31	matrix	matrix	NOUN
ajst-10997	157	32	for	for	ADP
ajst-10997	157	33	the	the	DET
ajst-10997	157	34	x	x	NOUN
ajst-10997	157	35	matrix	matrix	NOUN
ajst-10997	157	36	,	,	PUNCT
ajst-10997	157	37	the	the	DET
ajst-10997	157	38	q	q	NOUN
ajst-10997	157	39	matrix	matrix	NOUN
ajst-10997	157	40	for	for	ADP
ajst-10997	157	41	the	the	DET
ajst-10997	157	42	x	x	NOUN
ajst-10997	157	43	matrix	matrix	NOUN
ajst-10997	157	44	,	,	PUNCT
ajst-10997	157	45	and	and	CCONJ
ajst-10997	157	46	the	the	DET
ajst-10997	157	47	v	v	NOUN
ajst-10997	157	48	matrix	matrix	NOUN
ajst-10997	157	49	for	for	ADP
ajst-10997	157	50	the	the	DET
ajst-10997	157	51	x	x	NOUN
ajst-10997	157	52	matrix	matrix	NOUN
ajst-10997	157	53	.	.	PUNCT
ajst-10997	158	1	the	the	DET
ajst-10997	158	2	q	q	NOUN
ajst-10997	158	3	matrix	matrix	NOUN
ajst-10997	158	4	and	and	CCONJ
ajst-10997	158	5	the	the	DET
ajst-10997	158	6	k	k	PROPN
ajst-10997	158	7	matrix	matrix	NOUN
ajst-10997	158	8	are	be	AUX
ajst-10997	158	9	used	use	VERB
ajst-10997	158	10	to	to	PART
ajst-10997	158	11	calculate	calculate	VERB
ajst-10997	158	12	similarity	similarity	NOUN
ajst-10997	158	13	.	.	PUNCT
ajst-10997	159	1	there	there	PRON
ajst-10997	159	2	are	be	VERB
ajst-10997	159	3	several	several	ADJ
ajst-10997	159	4	methods	method	NOUN
ajst-10997	159	5	for	for	ADP
ajst-10997	159	6	calculating	calculate	VERB
ajst-10997	159	7	similarity	similarity	NOUN
ajst-10997	159	8	.	.	PUNCT
ajst-10997	160	1	by	by	ADP
ajst-10997	160	2	somewhat	somewhat	ADV
ajst-10997	160	3	normalizing	normalize	VERB
ajst-10997	160	4	the	the	DET
ajst-10997	160	5	calculated	calculated	ADJ
ajst-10997	160	6	similarity	similarity	NOUN
ajst-10997	160	7	,	,	PUNCT
ajst-10997	160	8	the	the	DET
ajst-10997	160	9	similarity	similarity	NOUN
ajst-10997	160	10	is	be	AUX
ajst-10997	160	11	calculated	calculate	VERB
ajst-10997	160	12	.	.	PUNCT
ajst-10997	161	1	the	the	DET
ajst-10997	161	2	normalized	normalize	VERB
ajst-10997	161	3	values	value	NOUN
ajst-10997	161	4	are	be	AUX
ajst-10997	161	5	multiplied	multiply	VERB
ajst-10997	161	6	by	by	ADP
ajst-10997	161	7	the	the	DET
ajst-10997	161	8	v	v	PROPN
ajst-10997	161	9	matrix	matrix	NOUN
ajst-10997	161	10	's	's	PART
ajst-10997	161	11	weights	weight	NOUN
ajst-10997	161	12	.	.	PUNCT
ajst-10997	162	1	the	the	DET
ajst-10997	162	2	attentional	attentional	ADJ
ajst-10997	162	3	qualities	quality	NOUN
ajst-10997	162	4	result	result	VERB
ajst-10997	162	5	from	from	ADP
ajst-10997	162	6	this	this	PRON
ajst-10997	162	7	.	.	PUNCT
ajst-10997	163	1	𝑄	𝑄	PRON
ajst-10997	163	2	𝑊	𝑊	VERB
ajst-10997	163	3	𝑋	𝑋	NOUN
ajst-10997	163	4	(	(	PUNCT
ajst-10997	163	5	5	5	NUM
ajst-10997	163	6	)	)	PUNCT
ajst-10997	163	7	𝐾	𝐾	NOUN
ajst-10997	163	8	𝑊	𝑊	PROPN
ajst-10997	163	9	𝑋	𝑋	NOUN
ajst-10997	163	10	(	(	PUNCT
ajst-10997	163	11	6	6	NUM
ajst-10997	163	12	)	)	PUNCT
ajst-10997	163	13	𝑉	𝑉	PROPN
ajst-10997	163	14	𝑊	𝑊	PROPN
ajst-10997	163	15	𝑋	𝑋	NOUN
ajst-10997	163	16	(	(	PUNCT
ajst-10997	163	17	7	7	NUM
ajst-10997	163	18	)	)	SYM
ajst-10997	163	19	2	2	NUM
ajst-10997	163	20	)	)	PUNCT
ajst-10997	163	21	calculate	calculate	VERB
ajst-10997	163	22	the	the	DET
ajst-10997	163	23	similarity	similarity	NOUN
ajst-10997	163	24	between	between	ADP
ajst-10997	163	25	k	k	PROPN
ajst-10997	163	26	and	and	CCONJ
ajst-10997	163	27	v.	v.	ADP
ajst-10997	163	28	the	the	DET
ajst-10997	163	29	q	q	NOUN
ajst-10997	163	30	matrix	matrix	NOUN
ajst-10997	163	31	formula	formula	NOUN
ajst-10997	163	32	has	have	VERB
ajst-10997	163	33	query	query	NOUN
ajst-10997	163	34	vectors	vector	NOUN
ajst-10997	163	35	composed	compose	VERB
ajst-10997	163	36	of	of	ADP
ajst-10997	163	37	.	.	PUNCT
ajst-10997	164	1	that	that	PRON
ajst-10997	164	2	is	be	AUX
ajst-10997	164	3	,	,	PUNCT
ajst-10997	164	4	q	q	ADJ
ajst-10997	164	5	q	q	X
ajst-10997	164	6	,	,	PUNCT
ajst-10997	164	7	q	q	X
ajst-10997	164	8	,	,	PUNCT
ajst-10997	164	9	…	…	PUNCT
ajst-10997	164	10	,	,	PUNCT
ajst-10997	164	11	q	q	X
ajst-10997	164	12	.	.	PUNCT
ajst-10997	165	1	k	k	PROPN
ajst-10997	165	2	matrix	matrix	NOUN
ajst-10997	165	3	is	be	AUX
ajst-10997	165	4	also	also	ADV
ajst-10997	165	5	composed	compose	VERB
ajst-10997	165	6	of	of	ADP
ajst-10997	165	7	keyword	keyword	NOUN
ajst-10997	165	8	vectors	vector	NOUN
ajst-10997	165	9	.	.	PUNCT
ajst-10997	166	1	that	that	PRON
ajst-10997	166	2	is	be	AUX
ajst-10997	166	3	,	,	PUNCT
ajst-10997	167	1	k	k	PROPN
ajst-10997	167	2	k	k	PROPN
ajst-10997	167	3	,	,	PUNCT
ajst-10997	167	4	k	k	PROPN
ajst-10997	167	5	,	,	PUNCT
ajst-10997	167	6	…	…	PUNCT
ajst-10997	167	7	,	,	PUNCT
ajst-10997	167	8	k	k	X
ajst-10997	167	9	.	.	PUNCT
ajst-10997	168	1	v	v	X
ajst-10997	168	2	-	-	PUNCT
ajst-10997	168	3	matrix	matrix	NOUN
ajst-10997	168	4	is	be	AUX
ajst-10997	168	5	also	also	ADV
ajst-10997	168	6	composed	compose	VERB
ajst-10997	168	7	of	of	ADP
ajst-10997	168	8	value	value	NOUN
ajst-10997	168	9	vectors	vector	NOUN
ajst-10997	168	10	,	,	PUNCT
ajst-10997	168	11	that	that	ADV
ajst-10997	168	12	is	is	ADV
ajst-10997	168	13	,	,	PUNCT
ajst-10997	168	14	v	v	ADP
ajst-10997	168	15	v	v	NUM
ajst-10997	168	16	,	,	PUNCT
ajst-10997	168	17	v	v	NOUN
ajst-10997	168	18	,	,	PUNCT
ajst-10997	168	19	…	…	PUNCT
ajst-10997	168	20	,	,	PUNCT
ajst-10997	168	21	v	v	NOUN
ajst-10997	168	22	.	.	PUNCT
ajst-10997	169	1	the	the	DET
ajst-10997	169	2	similarity	similarity	NOUN
ajst-10997	169	3	is	be	AUX
ajst-10997	169	4	compared	compare	VERB
ajst-10997	169	5	by	by	ADP
ajst-10997	169	6	using	use	VERB
ajst-10997	169	7	q	q	NOUN
ajst-10997	169	8	-	-	PUNCT
ajst-10997	169	9	vectors	vector	NOUN
ajst-10997	169	10	with	with	ADP
ajst-10997	169	11	k	k	NOUN
ajst-10997	169	12	-	-	NOUN
ajst-10997	169	13	vectors	vector	NOUN
ajst-10997	169	14	.	.	PUNCT
ajst-10997	170	1	by	by	ADP
ajst-10997	170	2	comparing	compare	VERB
ajst-10997	170	3	the	the	DET
ajst-10997	170	4	similarity	similarity	NOUN
ajst-10997	170	5	of	of	ADP
ajst-10997	170	6	q	q	NOUN
ajst-10997	170	7	-	-	PUNCT
ajst-10997	170	8	vectors	vector	NOUN
ajst-10997	170	9	with	with	ADP
ajst-10997	170	10	different	different	ADJ
ajst-10997	170	11	k	k	NOUN
ajst-10997	170	12	-	-	NOUN
ajst-10997	170	13	vectors	vector	NOUN
ajst-10997	170	14	.	.	PUNCT
ajst-10997	171	1	these	these	DET
ajst-10997	171	2	similarities	similarity	NOUN
ajst-10997	171	3	are	be	AUX
ajst-10997	171	4	normalized	normalize	VERB
ajst-10997	171	5	with	with	ADP
ajst-10997	171	6	softmax	softmax	NOUN
ajst-10997	171	7	.	.	PUNCT
ajst-10997	172	1	finally	finally	ADV
ajst-10997	172	2	,	,	PUNCT
ajst-10997	172	3	it	it	PRON
ajst-10997	172	4	is	be	AUX
ajst-10997	172	5	possible	possible	ADJ
ajst-10997	172	6	to	to	PART
ajst-10997	172	7	derive	derive	VERB
ajst-10997	172	8	the	the	DET
ajst-10997	172	9	weight	weight	NOUN
ajst-10997	172	10	coefficients	coefficient	NOUN
ajst-10997	172	11	α	α	X
ajst-10997	172	12	.	.	PUNCT
ajst-10997	173	1	ℎ	ℎ	PROPN
ajst-10997	173	2	𝑎𝑡𝑡	𝑎𝑡𝑡	ADP
ajst-10997	173	3	𝐾	𝐾	PROPN
ajst-10997	173	4	,	,	PUNCT
ajst-10997	173	5	𝑉	𝑉	PROPN
ajst-10997	173	6	,	,	PUNCT
ajst-10997	173	7	𝑞	𝑞	X
ajst-10997	173	8	(	(	PUNCT
ajst-10997	173	9	8)	8)	NUM
ajst-10997	173	10	ℎ	ℎ	SYM
ajst-10997	173	11	∑	∑	PROPN
ajst-10997	173	12	𝛼	𝛼	PART
ajst-10997	173	13	𝑣	𝑣	X
ajst-10997	173	14	(	(	PUNCT
ajst-10997	173	15	9	9	NUM
ajst-10997	173	16	)	)	PUNCT
ajst-10997	173	17	ℎ	ℎ	X
ajst-10997	173	18	∑	∑	PUNCT
ajst-10997	173	19	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	VERB
ajst-10997	173	20	𝑠𝑐𝑜𝑟𝑒	𝑠𝑐𝑜𝑟𝑒	NOUN
ajst-10997	173	21	𝑘	𝑘	ADP
ajst-10997	173	22	,	,	PUNCT
ajst-10997	173	23	𝑞	𝑞	PROPN
ajst-10997	173	24	∗	∗	NOUN
ajst-10997	173	25	𝑣	𝑣	X
ajst-10997	173	26	(	(	PUNCT
ajst-10997	173	27	10	10	NUM
ajst-10997	173	28	)	)	SYM
ajst-10997	173	29	3	3	NUM
ajst-10997	173	30	)	)	PUNCT
ajst-10997	173	31	scale	scale	NOUN
ajst-10997	173	32	the	the	DET
ajst-10997	173	33	dot	dot	NOUN
ajst-10997	173	34	product	product	NOUN
ajst-10997	173	35	to	to	PART
ajst-10997	173	36	be	be	AUX
ajst-10997	173	37	the	the	DET
ajst-10997	173	38	attention	attention	NOUN
ajst-10997	173	39	score	score	NOUN
ajst-10997	173	40	function	function	NOUN
ajst-10997	173	41	.	.	PUNCT
ajst-10997	174	1	𝐻	𝐻	PROPN
ajst-10997	174	2	𝑉	𝑉	PROPN
ajst-10997	174	3	∗	∗	NOUN
ajst-10997	174	4	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	NOUN
ajst-10997	174	5	(	(	PUNCT
ajst-10997	174	6	11	11	NUM
ajst-10997	174	7	)	)	PUNCT
ajst-10997	174	8	figure	figure	NOUN
ajst-10997	174	9	2	2	NUM
ajst-10997	174	10	.	.	PUNCT
ajst-10997	174	11	self	self	NOUN
ajst-10997	174	12	-	-	PUNCT
ajst-10997	174	13	attention	attention	NOUN
ajst-10997	174	14	mechanism	mechanism	NOUN
ajst-10997	174	15	calculation	calculation	NOUN
ajst-10997	174	16	process	process	NOUN
ajst-10997	174	17	3.5	3.5	NUM
ajst-10997	174	18	.	.	PUNCT
ajst-10997	175	1	gru	gru	NOUN
ajst-10997	175	2	-	-	ADJ
ajst-10997	175	3	attention	attention	NOUN
ajst-10997	175	4	network	network	NOUN
ajst-10997	175	5	the	the	DET
ajst-10997	175	6	gru	gru	NOUN
ajst-10997	175	7	network	network	NOUN
ajst-10997	175	8	is	be	AUX
ajst-10997	175	9	an	an	DET
ajst-10997	175	10	improvement	improvement	NOUN
ajst-10997	175	11	of	of	ADP
ajst-10997	175	12	the	the	DET
ajst-10997	175	13	lstm	lstm	PROPN
ajst-10997	175	14	network	network	NOUN
ajst-10997	175	15	.	.	PUNCT
ajst-10997	176	1	the	the	DET
ajst-10997	176	2	gru	gru	NOUN
ajst-10997	176	3	network	network	NOUN
ajst-10997	176	4	can	can	AUX
ajst-10997	176	5	not	not	PART
ajst-10997	176	6	only	only	ADV
ajst-10997	176	7	extract	extract	VERB
ajst-10997	176	8	time	time	NOUN
ajst-10997	176	9	series	series	PROPN
ajst-10997	176	10	information	information	NOUN
ajst-10997	176	11	but	but	CCONJ
ajst-10997	176	12	also	also	ADV
ajst-10997	176	13	ensure	ensure	VERB
ajst-10997	176	14	the	the	DET
ajst-10997	176	15	update	update	NOUN
ajst-10997	176	16	of	of	ADP
ajst-10997	176	17	the	the	DET
ajst-10997	176	18	new	new	ADJ
ajst-10997	176	19	state	state	NOUN
ajst-10997	176	20	.	.	PUNCT
ajst-10997	177	1	however	however	ADV
ajst-10997	177	2	,	,	PUNCT
ajst-10997	177	3	the	the	DET
ajst-10997	177	4	gru	gru	NOUN
ajst-10997	177	5	network	network	NOUN
ajst-10997	177	6	still	still	ADV
ajst-10997	177	7	has	have	VERB
ajst-10997	177	8	the	the	DET
ajst-10997	177	9	problem	problem	NOUN
ajst-10997	177	10	of	of	ADP
ajst-10997	177	11	long	long	ADJ
ajst-10997	177	12	-	-	PUNCT
ajst-10997	177	13	term	term	NOUN
ajst-10997	177	14	dependence	dependence	NOUN
ajst-10997	177	15	.	.	PUNCT
ajst-10997	178	1	and	and	CCONJ
ajst-10997	178	2	when	when	SCONJ
ajst-10997	178	3	the	the	DET
ajst-10997	178	4	gru	gru	NOUN
ajst-10997	178	5	network	network	NOUN
ajst-10997	178	6	is	be	AUX
ajst-10997	178	7	too	too	ADV
ajst-10997	178	8	deep	deep	ADJ
ajst-10997	178	9	,	,	PUNCT
ajst-10997	178	10	there	there	PRON
ajst-10997	178	11	will	will	AUX
ajst-10997	178	12	be	be	AUX
ajst-10997	178	13	gradient	gradient	ADJ
ajst-10997	178	14	explosion	explosion	NOUN
ajst-10997	178	15	and	and	CCONJ
ajst-10997	178	16	gradient	gradient	ADJ
ajst-10997	178	17	disappearance	disappearance	NOUN
ajst-10997	178	18	.	.	PUNCT
ajst-10997	179	1	the	the	DET
ajst-10997	179	2	93	93	NUM
ajst-10997	179	3	multi	multi	ADJ
ajst-10997	179	4	-	-	ADJ
ajst-10997	179	5	head	head	ADJ
ajst-10997	179	6	attention	attention	NOUN
ajst-10997	179	7	mechanism	mechanism	NOUN
ajst-10997	179	8	is	be	AUX
ajst-10997	179	9	derived	derive	VERB
ajst-10997	179	10	from	from	ADP
ajst-10997	179	11	the	the	DET
ajst-10997	179	12	transformer	transformer	NOUN
ajst-10997	179	13	network	network	NOUN
ajst-10997	179	14	,	,	PUNCT
ajst-10997	179	15	which	which	PRON
ajst-10997	179	16	is	be	AUX
ajst-10997	179	17	the	the	DET
ajst-10997	179	18	basis	basis	NOUN
ajst-10997	179	19	for	for	ADP
ajst-10997	179	20	the	the	DET
ajst-10997	179	21	outstanding	outstanding	ADJ
ajst-10997	179	22	performance	performance	NOUN
ajst-10997	179	23	of	of	ADP
ajst-10997	179	24	the	the	DET
ajst-10997	179	25	transformer	transformer	NOUN
ajst-10997	179	26	algorithm	algorithm	NOUN
ajst-10997	179	27	.	.	PUNCT
ajst-10997	180	1	the	the	DET
ajst-10997	180	2	multi	multi	ADJ
ajst-10997	180	3	-	-	ADJ
ajst-10997	180	4	head	head	ADJ
ajst-10997	180	5	attention	attention	NOUN
ajst-10997	180	6	mechanism	mechanism	NOUN
ajst-10997	180	7	used	use	VERB
ajst-10997	180	8	in	in	ADP
ajst-10997	180	9	this	this	DET
ajst-10997	180	10	paper	paper	NOUN
ajst-10997	180	11	can	can	AUX
ajst-10997	180	12	search	search	VERB
ajst-10997	180	13	for	for	ADP
ajst-10997	180	14	the	the	DET
ajst-10997	180	15	characteristics	characteristic	NOUN
ajst-10997	180	16	of	of	ADP
ajst-10997	180	17	global	global	ADJ
ajst-10997	180	18	attention	attention	NOUN
ajst-10997	180	19	.	.	PUNCT
ajst-10997	181	1	the	the	DET
ajst-10997	181	2	significant	significant	ADJ
ajst-10997	181	3	advantages	advantage	NOUN
ajst-10997	181	4	of	of	ADP
ajst-10997	181	5	the	the	DET
ajst-10997	181	6	attention	attention	NOUN
ajst-10997	181	7	mechanism	mechanism	NOUN
ajst-10997	181	8	are	be	AUX
ajst-10997	181	9	to	to	PART
ajst-10997	181	10	focus	focus	VERB
ajst-10997	181	11	on	on	ADP
ajst-10997	181	12	relevant	relevant	ADJ
ajst-10997	181	13	information	information	NOUN
ajst-10997	181	14	and	and	CCONJ
ajst-10997	181	15	ignore	ignore	VERB
ajst-10997	181	16	irrelevant	irrelevant	ADJ
ajst-10997	181	17	information	information	NOUN
ajst-10997	181	18	,	,	PUNCT
ajst-10997	181	19	to	to	PART
ajst-10997	181	20	directly	directly	ADV
ajst-10997	181	21	establish	establish	VERB
ajst-10997	181	22	the	the	DET
ajst-10997	181	23	dependence	dependence	NOUN
ajst-10997	181	24	between	between	ADP
ajst-10997	181	25	input	input	NOUN
ajst-10997	181	26	and	and	CCONJ
ajst-10997	181	27	output	output	NOUN
ajst-10997	181	28	without	without	ADP
ajst-10997	181	29	looping	loop	VERB
ajst-10997	181	30	,	,	PUNCT
ajst-10997	181	31	to	to	PART
ajst-10997	181	32	enhance	enhance	VERB
ajst-10997	181	33	the	the	DET
ajst-10997	181	34	degree	degree	NOUN
ajst-10997	181	35	of	of	ADP
ajst-10997	181	36	parallelism	parallelism	NOUN
ajst-10997	181	37	,	,	PUNCT
ajst-10997	181	38	to	to	PART
ajst-10997	181	39	greatly	greatly	ADV
ajst-10997	181	40	improve	improve	VERB
ajst-10997	181	41	the	the	DET
ajst-10997	181	42	running	running	NOUN
ajst-10997	181	43	speed	speed	NOUN
ajst-10997	181	44	,	,	PUNCT
ajst-10997	181	45	and	and	CCONJ
ajst-10997	181	46	to	to	PART
ajst-10997	181	47	directly	directly	ADV
ajst-10997	181	48	act	act	VERB
ajst-10997	181	49	the	the	DET
ajst-10997	181	50	value	value	NOUN
ajst-10997	181	51	of	of	ADP
ajst-10997	181	52	ultra	ultra	ADJ
ajst-10997	181	53	-	-	ADJ
ajst-10997	181	54	long	long	ADJ
ajst-10997	181	55	path	path	NOUN
ajst-10997	181	56	on	on	ADP
ajst-10997	181	57	the	the	DET
ajst-10997	181	58	value	value	NOUN
ajst-10997	181	59	of	of	ADP
ajst-10997	181	60	output	output	NOUN
ajst-10997	181	61	.	.	PUNCT
ajst-10997	182	1	the	the	DET
ajst-10997	182	2	algorithm	algorithm	NOUN
ajst-10997	182	3	designed	design	VERB
ajst-10997	182	4	in	in	ADP
ajst-10997	182	5	this	this	DET
ajst-10997	182	6	paper	paper	NOUN
ajst-10997	182	7	first	first	ADJ
ajst-10997	182	8	extracts	extract	VERB
ajst-10997	182	9	the	the	DET
ajst-10997	182	10	temporal	temporal	ADJ
ajst-10997	182	11	features	feature	NOUN
ajst-10997	182	12	and	and	CCONJ
ajst-10997	182	13	underlying	underlying	ADJ
ajst-10997	182	14	information	information	NOUN
ajst-10997	182	15	of	of	ADP
ajst-10997	182	16	li	li	PROPN
ajst-10997	182	17	-	-	ADJ
ajst-10997	182	18	ion	ion	NOUN
ajst-10997	182	19	battery	battery	NOUN
ajst-10997	182	20	information	information	NOUN
ajst-10997	182	21	using	use	VERB
ajst-10997	182	22	a	a	DET
ajst-10997	182	23	multi	multi	ADJ
ajst-10997	182	24	-	-	ADJ
ajst-10997	182	25	layer	layer	ADJ
ajst-10997	182	26	gru	gru	NOUN
ajst-10997	182	27	network	network	NOUN
ajst-10997	182	28	.	.	PUNCT
ajst-10997	183	1	after	after	ADP
ajst-10997	183	2	passing	pass	VERB
ajst-10997	183	3	the	the	DET
ajst-10997	183	4	extracted	extract	VERB
ajst-10997	183	5	features	feature	NOUN
ajst-10997	183	6	into	into	ADP
ajst-10997	183	7	the	the	DET
ajst-10997	183	8	multi	multi	ADJ
ajst-10997	183	9	-	-	ADJ
ajst-10997	183	10	layer	layer	ADJ
ajst-10997	183	11	attention	attention	NOUN
ajst-10997	183	12	mechanism	mechanism	NOUN
ajst-10997	183	13	layer	layer	NOUN
ajst-10997	183	14	algorithm	algorithm	NOUN
ajst-10997	183	15	,	,	PUNCT
ajst-10997	183	16	the	the	DET
ajst-10997	183	17	multi	multi	ADJ
ajst-10997	183	18	-	-	ADJ
ajst-10997	183	19	layer	layer	ADJ
ajst-10997	183	20	attention	attention	NOUN
ajst-10997	183	21	mechanism	mechanism	NOUN
ajst-10997	183	22	is	be	AUX
ajst-10997	183	23	used	use	VERB
ajst-10997	183	24	to	to	PART
ajst-10997	183	25	further	far	ADV
ajst-10997	183	26	focus	focus	VERB
ajst-10997	183	27	on	on	ADP
ajst-10997	183	28	the	the	DET
ajst-10997	183	29	features	feature	NOUN
ajst-10997	183	30	that	that	PRON
ajst-10997	183	31	greatly	greatly	ADV
ajst-10997	183	32	impact	impact	VERB
ajst-10997	183	33	the	the	DET
ajst-10997	183	34	lithium	lithium	NOUN
ajst-10997	183	35	battery	battery	NOUN
ajst-10997	183	36	soc	soc	NOUN
ajst-10997	183	37	and	and	CCONJ
ajst-10997	183	38	ignore	ignore	VERB
ajst-10997	183	39	the	the	DET
ajst-10997	183	40	irrelevant	irrelevant	ADJ
ajst-10997	183	41	information	information	NOUN
ajst-10997	183	42	.	.	PUNCT
ajst-10997	184	1	also	also	ADV
ajst-10997	184	2	,	,	PUNCT
ajst-10997	184	3	increase	increase	VERB
ajst-10997	184	4	the	the	DET
ajst-10997	184	5	parallel	parallel	ADJ
ajst-10997	184	6	computing	computing	NOUN
ajst-10997	184	7	capability	capability	NOUN
ajst-10997	184	8	where	where	SCONJ
ajst-10997	184	9	volt(t),volt(t-1),volt(t	volt(t),volt(t-1),volt(t	NOUN
ajst-10997	184	10	-	-	PUNCT
ajst-10997	184	11	i	i	NOUN
ajst-10997	184	12	)	)	PUNCT
ajst-10997	184	13	represent	represent	VERB
ajst-10997	184	14	the	the	DET
ajst-10997	184	15	voltages	voltage	NOUN
ajst-10997	184	16	at	at	ADP
ajst-10997	184	17	different	different	ADJ
ajst-10997	184	18	moments	moment	NOUN
ajst-10997	184	19	.	.	PUNCT
ajst-10997	185	1	cur(t),cur(t-1),cur(t	cur(t),cur(t-1),cur(t	ADJ
ajst-10997	185	2	-	-	PUNCT
ajst-10997	185	3	i	i	NOUN
ajst-10997	185	4	)	)	PUNCT
ajst-10997	185	5	are	be	AUX
ajst-10997	185	6	the	the	DET
ajst-10997	185	7	current	current	ADJ
ajst-10997	185	8	values	value	NOUN
ajst-10997	185	9	at	at	ADP
ajst-10997	185	10	different	different	ADJ
ajst-10997	185	11	times	time	NOUN
ajst-10997	185	12	.	.	PUNCT
ajst-10997	186	1	the	the	DET
ajst-10997	186	2	magnitude	magnitude	NOUN
ajst-10997	186	3	of	of	ADP
ajst-10997	186	4	timestep	timestep	NOUN
ajst-10997	186	5	determines	determine	VERB
ajst-10997	186	6	the	the	DET
ajst-10997	186	7	value	value	NOUN
ajst-10997	186	8	of	of	ADP
ajst-10997	186	9	i.	i.	NOUN
ajst-10997	186	10	the	the	DET
ajst-10997	186	11	value	value	NOUN
ajst-10997	186	12	of	of	ADP
ajst-10997	186	13	timestep	timestep	NOUN
ajst-10997	186	14	is	be	AUX
ajst-10997	186	15	a	a	DET
ajst-10997	186	16	hyperparameter	hyperparameter	NOUN
ajst-10997	186	17	.	.	PUNCT
ajst-10997	187	1	tem(t),tem(t-1),tem(t	tem(t),tem(t-1),tem(t	PROPN
ajst-10997	187	2	-	-	PUNCT
ajst-10997	187	3	i	i	PROPN
ajst-10997	187	4	)	)	PUNCT
ajst-10997	187	5	are	be	AUX
ajst-10997	187	6	the	the	DET
ajst-10997	187	7	temperature	temperature	NOUN
ajst-10997	187	8	values	value	NOUN
ajst-10997	187	9	at	at	ADP
ajst-10997	187	10	different	different	ADJ
ajst-10997	187	11	times	time	NOUN
ajst-10997	187	12	.	.	PUNCT
ajst-10997	188	1	values	value	NOUN
ajst-10997	188	2	.	.	PUNCT
ajst-10997	189	1	temperature	temperature	NOUN
ajst-10997	189	2	is	be	AUX
ajst-10997	189	3	crucial	crucial	ADJ
ajst-10997	189	4	in	in	ADP
ajst-10997	189	5	the	the	DET
ajst-10997	189	6	soc	soc	NOUN
ajst-10997	189	7	estimation	estimation	NOUN
ajst-10997	189	8	of	of	ADP
ajst-10997	189	9	li	li	PROPN
ajst-10997	189	10	-	-	PUNCT
ajst-10997	189	11	ion	ion	NOUN
ajst-10997	189	12	batteries	battery	NOUN
ajst-10997	189	13	.	.	PUNCT
ajst-10997	190	1	soc(t	soc(t	PROPN
ajst-10997	190	2	)	)	PUNCT
ajst-10997	190	3	,	,	PUNCT
ajst-10997	190	4	soc(t-1	soc(t-1	PROPN
ajst-10997	190	5	)	)	PUNCT
ajst-10997	190	6	,	,	PUNCT
ajst-10997	190	7	soc(ti	soc(ti	NOUN
ajst-10997	190	8	)	)	PUNCT
ajst-10997	190	9	represent	represent	VERB
ajst-10997	190	10	the	the	DET
ajst-10997	190	11	soc	soc	NOUN
ajst-10997	190	12	values	value	NOUN
ajst-10997	190	13	at	at	ADP
ajst-10997	190	14	different	different	ADJ
ajst-10997	190	15	times	time	NOUN
ajst-10997	190	16	.	.	PUNCT
ajst-10997	191	1	it	it	PRON
ajst-10997	191	2	does	do	AUX
ajst-10997	191	3	not	not	PART
ajst-10997	191	4	make	make	VERB
ajst-10997	191	5	sudden	sudden	ADJ
ajst-10997	191	6	changes	change	NOUN
ajst-10997	191	7	.	.	PUNCT
ajst-10997	192	1	therefore	therefore	ADV
ajst-10997	192	2	,	,	PUNCT
ajst-10997	192	3	the	the	DET
ajst-10997	192	4	value	value	NOUN
ajst-10997	192	5	of	of	ADP
ajst-10997	192	6	the	the	DET
ajst-10997	192	7	previous	previous	ADJ
ajst-10997	192	8	moment	moment	NOUN
ajst-10997	192	9	of	of	ADP
ajst-10997	192	10	soc	soc	NOUN
ajst-10997	192	11	will	will	AUX
ajst-10997	192	12	have	have	VERB
ajst-10997	192	13	a	a	DET
ajst-10997	192	14	greater	great	ADJ
ajst-10997	192	15	impact	impact	NOUN
ajst-10997	192	16	on	on	ADP
ajst-10997	192	17	the	the	DET
ajst-10997	192	18	current	current	ADJ
ajst-10997	192	19	moment	moment	NOUN
ajst-10997	192	20	of	of	ADP
ajst-10997	192	21	soc	soc	NOUN
ajst-10997	192	22	.	.	PUNCT
ajst-10997	193	1	these	these	DET
ajst-10997	193	2	parameters	parameter	NOUN
ajst-10997	193	3	are	be	AUX
ajst-10997	193	4	also	also	ADV
ajst-10997	193	5	the	the	DET
ajst-10997	193	6	values	value	NOUN
ajst-10997	193	7	of	of	ADP
ajst-10997	193	8	charging	charge	VERB
ajst-10997	193	9	capacity	capacity	NOUN
ajst-10997	193	10	,	,	PUNCT
ajst-10997	193	11	discharging	discharge	VERB
ajst-10997	193	12	capacity	capacity	NOUN
ajst-10997	193	13	,	,	PUNCT
ajst-10997	193	14	charging	charge	VERB
ajst-10997	193	15	energy	energy	NOUN
ajst-10997	193	16	,	,	PUNCT
ajst-10997	193	17	discharging	discharge	VERB
ajst-10997	193	18	energy	energy	NOUN
ajst-10997	193	19	,	,	PUNCT
ajst-10997	193	20	and	and	CCONJ
ajst-10997	193	21	so	so	ADV
ajst-10997	193	22	on	on	ADV
ajst-10997	193	23	.	.	PUNCT
ajst-10997	194	1	the	the	DET
ajst-10997	194	2	network	network	NOUN
ajst-10997	194	3	designed	design	VERB
ajst-10997	194	4	in	in	ADP
ajst-10997	194	5	this	this	DET
ajst-10997	194	6	paper	paper	NOUN
ajst-10997	194	7	takes	take	VERB
ajst-10997	194	8	the	the	DET
ajst-10997	194	9	parameter	parameter	NOUN
ajst-10997	194	10	data	datum	NOUN
ajst-10997	194	11	of	of	ADP
ajst-10997	194	12	the	the	DET
ajst-10997	194	13	lithium	lithium	NOUN
ajst-10997	194	14	battery	battery	NOUN
ajst-10997	194	15	detected	detect	VERB
ajst-10997	194	16	by	by	ADP
ajst-10997	194	17	the	the	DET
ajst-10997	194	18	lithium	lithium	NOUN
ajst-10997	194	19	battery	battery	NOUN
ajst-10997	194	20	test	test	NOUN
ajst-10997	194	21	platform	platform	NOUN
ajst-10997	194	22	as	as	ADP
ajst-10997	194	23	a	a	DET
ajst-10997	194	24	vector	vector	NOUN
ajst-10997	194	25	and	and	CCONJ
ajst-10997	194	26	turns	turn	VERB
ajst-10997	194	27	these	these	DET
ajst-10997	194	28	vectors	vector	NOUN
ajst-10997	194	29	into	into	ADP
ajst-10997	194	30	a	a	DET
ajst-10997	194	31	matrix	matrix	NOUN
ajst-10997	194	32	according	accord	VERB
ajst-10997	194	33	to	to	ADP
ajst-10997	194	34	the	the	DET
ajst-10997	194	35	timestep	timestep	NOUN
ajst-10997	194	36	size	size	NOUN
ajst-10997	194	37	.	.	PUNCT
ajst-10997	195	1	then	then	ADV
ajst-10997	195	2	we	we	PRON
ajst-10997	195	3	add	add	VERB
ajst-10997	195	4	batchsize	batchsize	NOUN
ajst-10997	195	5	to	to	PART
ajst-10997	195	6	make	make	VERB
ajst-10997	195	7	it	it	PRON
ajst-10997	195	8	a	a	DET
ajst-10997	195	9	3d	3d	NUM
ajst-10997	195	10	matrix	matrix	NOUN
ajst-10997	195	11	.	.	PUNCT
ajst-10997	196	1	however	however	ADV
ajst-10997	196	2	,	,	PUNCT
ajst-10997	196	3	in	in	ADP
ajst-10997	196	4	the	the	DET
ajst-10997	196	5	network	network	NOUN
ajst-10997	196	6	design	design	NOUN
ajst-10997	196	7	process	process	NOUN
ajst-10997	196	8	,	,	PUNCT
ajst-10997	196	9	the	the	DET
ajst-10997	196	10	influence	influence	NOUN
ajst-10997	196	11	brought	bring	VERB
ajst-10997	196	12	by	by	ADP
ajst-10997	196	13	batchsize	batchsize	NOUN
ajst-10997	196	14	is	be	AUX
ajst-10997	196	15	not	not	PART
ajst-10997	196	16	considered	consider	VERB
ajst-10997	196	17	.	.	PUNCT
ajst-10997	197	1	the	the	DET
ajst-10997	197	2	current	current	ADJ
ajst-10997	197	3	,	,	PUNCT
ajst-10997	197	4	voltage	voltage	NOUN
ajst-10997	197	5	,	,	PUNCT
ajst-10997	197	6	temperature	temperature	NOUN
ajst-10997	197	7	,	,	PUNCT
ajst-10997	197	8	and	and	CCONJ
ajst-10997	197	9	soc	soc	NOUN
ajst-10997	197	10	vectors	vector	NOUN
ajst-10997	197	11	are	be	AUX
ajst-10997	197	12	combined	combine	VERB
ajst-10997	197	13	into	into	ADP
ajst-10997	197	14	a	a	DET
ajst-10997	197	15	matrix	matrix	NOUN
ajst-10997	197	16	,	,	PUNCT
ajst-10997	197	17	which	which	PRON
ajst-10997	197	18	is	be	AUX
ajst-10997	197	19	then	then	ADV
ajst-10997	197	20	used	use	VERB
ajst-10997	197	21	as	as	ADP
ajst-10997	197	22	the	the	DET
ajst-10997	197	23	input	input	NOUN
ajst-10997	197	24	feature	feature	NOUN
ajst-10997	197	25	x.	x.	NOUN
ajst-10997	198	1	the	the	DET
ajst-10997	198	2	input	input	NOUN
ajst-10997	198	3	feature	feature	NOUN
ajst-10997	198	4	x	x	PUNCT
ajst-10997	198	5	will	will	AUX
ajst-10997	198	6	be	be	AUX
ajst-10997	198	7	the	the	DET
ajst-10997	198	8	input	input	NOUN
ajst-10997	198	9	of	of	ADP
ajst-10997	198	10	the	the	DET
ajst-10997	198	11	stacked	stacked	PROPN
ajst-10997	198	12	gru	gru	PROPN
ajst-10997	198	13	network	network	NOUN
ajst-10997	198	14	.	.	PUNCT
ajst-10997	199	1	stacked	stacked	PROPN
ajst-10997	199	2	gru	gru	PROPN
ajst-10997	199	3	networks	network	NOUN
ajst-10997	199	4	represent	represent	VERB
ajst-10997	199	5	multiple	multiple	ADJ
ajst-10997	199	6	layers	layer	NOUN
ajst-10997	199	7	of	of	ADP
ajst-10997	199	8	gru	gru	PROPN
ajst-10997	199	9	.	.	PUNCT
ajst-10997	200	1	the	the	DET
ajst-10997	200	2	output	output	NOUN
ajst-10997	200	3	of	of	ADP
ajst-10997	200	4	stacked	stacked	PROPN
ajst-10997	200	5	gru	gru	PROPN
ajst-10997	200	6	is	be	AUX
ajst-10997	200	7	used	use	VERB
ajst-10997	200	8	as	as	ADP
ajst-10997	200	9	input	input	NOUN
ajst-10997	200	10	to	to	ADP
ajst-10997	200	11	the	the	DET
ajst-10997	200	12	stacked	stack	VERB
ajst-10997	200	13	attention	attention	NOUN
ajst-10997	200	14	layer	layer	NOUN
ajst-10997	200	15	.	.	PUNCT
ajst-10997	201	1	attention	attention	NOUN
ajst-10997	201	2	layer	layer	NOUN
ajst-10997	201	3	uses	use	VERB
ajst-10997	201	4	multi	multi	ADJ
ajst-10997	201	5	-	-	ADJ
ajst-10997	201	6	head	head	ADJ
ajst-10997	201	7	self	self	NOUN
ajst-10997	201	8	-	-	PUNCT
ajst-10997	201	9	attention	attention	NOUN
ajst-10997	201	10	layer	layer	NOUN
ajst-10997	201	11	.	.	PUNCT
ajst-10997	202	1	different	different	ADJ
ajst-10997	202	2	multiple	multiple	ADJ
ajst-10997	202	3	heads	head	NOUN
ajst-10997	202	4	are	be	AUX
ajst-10997	202	5	used	use	VERB
ajst-10997	202	6	to	to	PART
ajst-10997	202	7	extract	extract	VERB
ajst-10997	202	8	different	different	ADJ
ajst-10997	202	9	attention	attention	NOUN
ajst-10997	202	10	features	feature	NOUN
ajst-10997	202	11	.	.	PUNCT
ajst-10997	203	1	multi	multi	ADJ
ajst-10997	203	2	-	-	ADJ
ajst-10997	203	3	layer	layer	ADJ
ajst-10997	203	4	attention	attention	NOUN
ajst-10997	203	5	layers	layer	NOUN
ajst-10997	203	6	are	be	AUX
ajst-10997	203	7	used	use	VERB
ajst-10997	203	8	to	to	PART
ajst-10997	203	9	extract	extract	VERB
ajst-10997	203	10	higher	high	ADJ
ajst-10997	203	11	-	-	PUNCT
ajst-10997	203	12	order	order	NOUN
ajst-10997	203	13	semantic	semantic	ADJ
ajst-10997	203	14	information	information	NOUN
ajst-10997	203	15	.	.	PUNCT
ajst-10997	204	1	the	the	DET
ajst-10997	204	2	output	output	NOUN
ajst-10997	204	3	of	of	ADP
ajst-10997	204	4	the	the	DET
ajst-10997	204	5	attention	attention	NOUN
ajst-10997	204	6	layer	layer	NOUN
ajst-10997	204	7	is	be	AUX
ajst-10997	204	8	fed	feed	VERB
ajst-10997	204	9	to	to	ADP
ajst-10997	204	10	the	the	DET
ajst-10997	204	11	input	input	NOUN
ajst-10997	204	12	features	feature	NOUN
ajst-10997	204	13	of	of	ADP
ajst-10997	204	14	the	the	DET
ajst-10997	204	15	neural	neural	ADJ
ajst-10997	204	16	network	network	NOUN
ajst-10997	204	17	.	.	PUNCT
ajst-10997	205	1	feedforward	feedforward	NOUN
ajst-10997	205	2	neural	neural	ADJ
ajst-10997	205	3	networks	network	NOUN
ajst-10997	205	4	compress	compress	VERB
ajst-10997	205	5	the	the	DET
ajst-10997	205	6	width	width	NOUN
ajst-10997	205	7	of	of	ADP
ajst-10997	205	8	the	the	DET
ajst-10997	205	9	network	network	NOUN
ajst-10997	205	10	step	step	NOUN
ajst-10997	205	11	by	by	ADP
ajst-10997	205	12	step	step	NOUN
ajst-10997	205	13	.	.	PUNCT
ajst-10997	206	1	the	the	DET
ajst-10997	206	2	final	final	ADJ
ajst-10997	206	3	output	output	NOUN
ajst-10997	206	4	is	be	AUX
ajst-10997	206	5	an	an	DET
ajst-10997	206	6	estimate	estimate	NOUN
ajst-10997	206	7	of	of	ADP
ajst-10997	206	8	the	the	DET
ajst-10997	206	9	soc	soc	NOUN
ajst-10997	206	10	.	.	PUNCT
ajst-10997	207	1	figure	figure	NOUN
ajst-10997	207	2	3	3	NUM
ajst-10997	207	3	represents	represent	VERB
ajst-10997	207	4	the	the	DET
ajst-10997	207	5	gru+attention	gru+attention	NOUN
ajst-10997	207	6	network	network	NOUN
ajst-10997	207	7	structure	structure	NOUN
ajst-10997	207	8	designed	design	VERB
ajst-10997	207	9	in	in	ADP
ajst-10997	207	10	this	this	DET
ajst-10997	207	11	paper	paper	NOUN
ajst-10997	207	12	.	.	PUNCT
ajst-10997	208	1	figure	figure	NOUN
ajst-10997	208	2	3	3	NUM
ajst-10997	208	3	.	.	PUNCT
ajst-10997	208	4	gru	gru	NOUN
ajst-10997	209	1	+	+	CCONJ
ajst-10997	209	2	attention	attention	NOUN
ajst-10997	209	3	network	network	NOUN
ajst-10997	209	4	94	94	NUM
ajst-10997	209	5	4	4	NUM
ajst-10997	209	6	.	.	PUNCT
ajst-10997	209	7	experiment	experiment	VERB
ajst-10997	209	8	the	the	DET
ajst-10997	209	9	dataset	dataset	NOUN
ajst-10997	209	10	used	use	VERB
ajst-10997	209	11	in	in	ADP
ajst-10997	209	12	this	this	DET
ajst-10997	209	13	paper	paper	NOUN
ajst-10997	209	14	is	be	AUX
ajst-10997	209	15	a	a	DET
ajst-10997	209	16	public	public	ADJ
ajst-10997	209	17	dataset	dataset	NOUN
ajst-10997	209	18	.	.	PUNCT
ajst-10997	210	1	it	it	PRON
ajst-10997	210	2	is	be	AUX
ajst-10997	210	3	the	the	DET
ajst-10997	210	4	calce	calce	ADJ
ajst-10997	210	5	data	datum	NOUN
ajst-10997	210	6	provided	provide	VERB
ajst-10997	210	7	by	by	ADP
ajst-10997	210	8	the	the	DET
ajst-10997	210	9	university	university	PROPN
ajst-10997	210	10	of	of	ADP
ajst-10997	210	11	maryland	maryland	PROPN
ajst-10997	210	12	.	.	PUNCT
ajst-10997	211	1	the	the	DET
ajst-10997	211	2	battery	battery	NOUN
ajst-10997	211	3	model	model	NOUN
ajst-10997	211	4	used	use	VERB
ajst-10997	211	5	in	in	ADP
ajst-10997	211	6	this	this	DET
ajst-10997	211	7	paper	paper	NOUN
ajst-10997	211	8	is	be	AUX
ajst-10997	211	9	18650	18650	NUM
ajst-10997	211	10	-	-	PUNCT
ajst-10997	211	11	20r	20r	NUM
ajst-10997	211	12	.	.	PUNCT
ajst-10997	212	1	the	the	DET
ajst-10997	212	2	calculation	calculation	NOUN
ajst-10997	212	3	of	of	ADP
ajst-10997	212	4	soc	soc	NOUN
ajst-10997	212	5	of	of	ADP
ajst-10997	212	6	li	li	PROPN
ajst-10997	212	7	-	-	NOUN
ajst-10997	212	8	ion	ion	NOUN
ajst-10997	212	9	battery	battery	NOUN
ajst-10997	212	10	is	be	AUX
ajst-10997	212	11	highly	highly	ADV
ajst-10997	212	12	dependent	dependent	ADJ
ajst-10997	212	13	on	on	ADP
ajst-10997	212	14	temperature	temperature	NOUN
ajst-10997	212	15	and	and	CCONJ
ajst-10997	212	16	initial	initial	ADJ
ajst-10997	212	17	capacity	capacity	NOUN
ajst-10997	212	18	.	.	PUNCT
ajst-10997	213	1	therefore	therefore	ADV
ajst-10997	213	2	,	,	PUNCT
ajst-10997	213	3	in	in	ADP
ajst-10997	213	4	-	-	PUNCT
ajst-10997	213	5	depth	depth	NOUN
ajst-10997	213	6	testing	testing	NOUN
ajst-10997	213	7	is	be	AUX
ajst-10997	213	8	needed	need	VERB
ajst-10997	213	9	specifically	specifically	ADV
ajst-10997	213	10	for	for	ADP
ajst-10997	213	11	the	the	DET
ajst-10997	213	12	initial	initial	ADJ
ajst-10997	213	13	capacity	capacity	NOUN
ajst-10997	213	14	.	.	PUNCT
ajst-10997	214	1	in	in	ADP
ajst-10997	214	2	order	order	NOUN
ajst-10997	214	3	to	to	PART
ajst-10997	214	4	simulate	simulate	VERB
ajst-10997	214	5	the	the	DET
ajst-10997	214	6	real	real	ADJ
ajst-10997	214	7	situation	situation	NOUN
ajst-10997	214	8	of	of	ADP
ajst-10997	214	9	li	li	PROPN
ajst-10997	214	10	-	-	NOUN
ajst-10997	214	11	ion	ion	NOUN
ajst-10997	214	12	battery	battery	NOUN
ajst-10997	214	13	in	in	ADP
ajst-10997	214	14	normal	normal	ADJ
ajst-10997	214	15	operation	operation	NOUN
ajst-10997	214	16	,	,	PUNCT
ajst-10997	214	17	each	each	DET
ajst-10997	214	18	country	country	NOUN
ajst-10997	214	19	has	have	VERB
ajst-10997	214	20	different	different	ADJ
ajst-10997	214	21	standards	standard	NOUN
ajst-10997	214	22	to	to	PART
ajst-10997	214	23	test	test	VERB
ajst-10997	214	24	li	li	NOUN
ajst-10997	214	25	-	-	NOUN
ajst-10997	214	26	ion	ion	NOUN
ajst-10997	214	27	battery	battery	NOUN
ajst-10997	214	28	.	.	PUNCT
ajst-10997	215	1	this	this	DET
ajst-10997	215	2	paper	paper	NOUN
ajst-10997	215	3	mainly	mainly	ADV
ajst-10997	215	4	uses	use	VERB
ajst-10997	215	5	bjdst	bjdst	NOUN
ajst-10997	215	6	.	.	PUNCT
ajst-10997	216	1	in	in	ADP
ajst-10997	216	2	the	the	DET
ajst-10997	216	3	bjdst	bjdst	NOUN
ajst-10997	216	4	data	datum	NOUN
ajst-10997	216	5	set	set	VERB
ajst-10997	216	6	,	,	PUNCT
ajst-10997	216	7	the	the	DET
ajst-10997	216	8	initial	initial	ADJ
ajst-10997	216	9	capacity	capacity	NOUN
ajst-10997	216	10	of	of	ADP
ajst-10997	216	11	the	the	DET
ajst-10997	216	12	lithium	lithium	NOUN
ajst-10997	216	13	battery	battery	NOUN
ajst-10997	216	14	is	be	AUX
ajst-10997	216	15	first	first	ADV
ajst-10997	216	16	tested	test	VERB
ajst-10997	216	17	.	.	PUNCT
ajst-10997	217	1	secondly	secondly	ADV
ajst-10997	217	2	,	,	PUNCT
ajst-10997	217	3	the	the	DET
ajst-10997	217	4	lithium	lithium	NOUN
ajst-10997	217	5	battery	battery	NOUN
ajst-10997	217	6	is	be	AUX
ajst-10997	217	7	tested	test	VERB
ajst-10997	217	8	under	under	ADP
ajst-10997	217	9	different	different	ADJ
ajst-10997	217	10	temperatures	temperature	NOUN
ajst-10997	217	11	.	.	PUNCT
ajst-10997	218	1	table	table	NOUN
ajst-10997	218	2	1	1	NUM
ajst-10997	218	3	shows	show	VERB
ajst-10997	218	4	the	the	DET
ajst-10997	218	5	basic	basic	ADJ
ajst-10997	218	6	parameters	parameter	NOUN
ajst-10997	218	7	of	of	ADP
ajst-10997	218	8	lithium	lithium	NOUN
ajst-10997	218	9	batteries	battery	NOUN
ajst-10997	218	10	.	.	PUNCT
ajst-10997	219	1	table	table	NOUN
ajst-10997	219	2	1	1	NUM
ajst-10997	219	3	.	.	PUNCT
ajst-10997	220	1	parameters	parameter	NOUN
ajst-10997	220	2	of	of	ADP
ajst-10997	220	3	lithium	lithium	NOUN
ajst-10997	220	4	batteries	battery	NOUN
ajst-10997	220	5	battery	battery	NOUN
ajst-10997	220	6	parameters	parameter	NOUN
ajst-10997	220	7	specifications	specification	NOUN
ajst-10997	220	8	value	value	NOUN
ajst-10997	220	9	battery	battery	NOUN
ajst-10997	220	10	type	type	NOUN
ajst-10997	220	11	inr	inr	PROPN
ajst-10997	220	12	18650	18650	NUM
ajst-10997	220	13	-	-	PUNCT
ajst-10997	220	14	20r	20r	NOUN
ajst-10997	220	15	capacity	capacity	NOUN
ajst-10997	220	16	rating	rating	NOUN
ajst-10997	220	17	2000mah	2000mah	NUM
ajst-10997	220	18	cell	cell	NOUN
ajst-10997	220	19	chemistry	chemistry	NOUN
ajst-10997	220	20	lnmc	lnmc	NOUN
ajst-10997	220	21	/	/	SYM
ajst-10997	220	22	graphite	graphite	NOUN
ajst-10997	220	23	weight	weight	NOUN
ajst-10997	220	24	45.0	45.0	NUM
ajst-10997	220	25	g	g	NOUN
ajst-10997	220	26	dimensions(mm	dimensions(mm	NOUN
ajst-10997	220	27	)	)	PUNCT
ajst-10997	220	28	18.33±0.07	18.33±0.07	NUM
ajst-10997	220	29	mm	mm	NUM
ajst-10997	220	30	length	length	NOUN
ajst-10997	220	31	64.85±0.15	64.85±0.15	NOUN
ajst-10997	220	32	mm	mm	INTJ
ajst-10997	220	33	in	in	ADP
ajst-10997	220	34	the	the	DET
ajst-10997	220	35	calce	calce	NOUN
ajst-10997	220	36	test	test	NOUN
ajst-10997	220	37	set	set	NOUN
ajst-10997	220	38	,	,	PUNCT
ajst-10997	220	39	the	the	DET
ajst-10997	220	40	data	datum	NOUN
ajst-10997	220	41	were	be	AUX
ajst-10997	220	42	tested	test	VERB
ajst-10997	220	43	separately	separately	ADV
ajst-10997	220	44	according	accord	VERB
ajst-10997	220	45	to	to	ADP
ajst-10997	220	46	different	different	ADJ
ajst-10997	220	47	temperatures	temperature	NOUN
ajst-10997	220	48	,	,	PUNCT
ajst-10997	220	49	and	and	CCONJ
ajst-10997	220	50	the	the	DET
ajst-10997	220	51	bjdst	bjdst	NOUN
ajst-10997	220	52	condition	condition	NOUN
ajst-10997	220	53	simulation	simulation	NOUN
ajst-10997	220	54	was	be	AUX
ajst-10997	220	55	first	first	ADV
ajst-10997	220	56	used	use	VERB
ajst-10997	220	57	to	to	PART
ajst-10997	220	58	test	test	VERB
ajst-10997	220	59	the	the	DET
ajst-10997	220	60	lithium	lithium	NOUN
ajst-10997	220	61	battery	battery	NOUN
ajst-10997	220	62	at	at	ADP
ajst-10997	220	63	0	0	NUM
ajst-10997	220	64	degrees	degree	NOUN
ajst-10997	220	65	celsius	celsius	NOUN
ajst-10997	220	66	.	.	PUNCT
ajst-10997	221	1	at	at	ADP
ajst-10997	221	2	the	the	DET
ajst-10997	221	3	same	same	ADJ
ajst-10997	221	4	time	time	NOUN
ajst-10997	221	5	,	,	PUNCT
ajst-10997	221	6	the	the	DET
ajst-10997	221	7	battery	battery	NOUN
ajst-10997	221	8	capacity	capacity	NOUN
ajst-10997	221	9	was	be	AUX
ajst-10997	221	10	tested	test	VERB
ajst-10997	221	11	at	at	ADP
ajst-10997	221	12	80	80	NUM
ajst-10997	221	13	%	%	NOUN
ajst-10997	221	14	soc	soc	NOUN
ajst-10997	221	15	and	and	CCONJ
ajst-10997	221	16	50	50	NUM
ajst-10997	221	17	%	%	NOUN
ajst-10997	221	18	soc	soc	NOUN
ajst-10997	221	19	.	.	PUNCT
ajst-10997	222	1	then	then	ADV
ajst-10997	222	2	bjdst	bjdst	NOUN
ajst-10997	222	3	tests	test	NOUN
ajst-10997	222	4	were	be	AUX
ajst-10997	222	5	conducted	conduct	VERB
ajst-10997	222	6	at	at	ADP
ajst-10997	222	7	25	25	NUM
ajst-10997	222	8	degrees	degree	NOUN
ajst-10997	222	9	c	c	PROPN
ajst-10997	222	10	and	and	CCONJ
ajst-10997	222	11	45	45	NUM
ajst-10997	222	12	degrees	degree	NOUN
ajst-10997	222	13	c.	c.	NOUN
ajst-10997	222	14	the	the	DET
ajst-10997	222	15	80	80	NUM
ajst-10997	222	16	%	%	NOUN
ajst-10997	222	17	soc	soc	NOUN
ajst-10997	222	18	and	and	CCONJ
ajst-10997	222	19	50	50	NUM
ajst-10997	222	20	%	%	NOUN
ajst-10997	222	21	soc	soc	NOUN
ajst-10997	222	22	tests	test	NOUN
ajst-10997	222	23	were	be	AUX
ajst-10997	222	24	also	also	ADV
ajst-10997	222	25	conducted	conduct	VERB
ajst-10997	222	26	separately	separately	ADV
ajst-10997	222	27	.	.	PUNCT
ajst-10997	223	1	figure	figure	VERB
ajst-10997	223	2	4	4	NUM
ajst-10997	223	3	.	.	PUNCT
ajst-10997	223	4	voltage	voltage	NOUN
ajst-10997	223	5	testing	testing	NOUN
ajst-10997	223	6	under	under	ADP
ajst-10997	223	7	bjdst	bjdst	NOUN
ajst-10997	223	8	operating	operating	NOUN
ajst-10997	223	9	conditions	condition	NOUN
ajst-10997	223	10	.	.	PUNCT
ajst-10997	224	1	subplot	subplot	VERB
ajst-10997	224	2	a	a	PRON
ajst-10997	224	3	in	in	ADP
ajst-10997	224	4	figure	figure	NOUN
ajst-10997	224	5	4	4	NUM
ajst-10997	224	6	represents	represent	VERB
ajst-10997	224	7	the	the	DET
ajst-10997	224	8	bjdst	bjdst	NOUN
ajst-10997	224	9	test	test	NOUN
ajst-10997	224	10	voltage	voltage	NOUN
ajst-10997	224	11	at	at	ADP
ajst-10997	224	12	80	80	NUM
ajst-10997	224	13	%	%	NOUN
ajst-10997	224	14	soc	soc	NOUN
ajst-10997	224	15	at	at	ADP
ajst-10997	224	16	0	0	NUM
ajst-10997	224	17	degrees	degree	NOUN
ajst-10997	224	18	celsius	celsius	NOUN
ajst-10997	224	19	.	.	PUNCT
ajst-10997	225	1	it	it	PRON
ajst-10997	225	2	indicates	indicate	VERB
ajst-10997	225	3	that	that	SCONJ
ajst-10997	225	4	the	the	DET
ajst-10997	225	5	battery	battery	NOUN
ajst-10997	225	6	is	be	AUX
ajst-10997	225	7	charged	charge	VERB
ajst-10997	225	8	first	first	ADV
ajst-10997	225	9	.	.	PUNCT
ajst-10997	226	1	when	when	SCONJ
ajst-10997	226	2	the	the	DET
ajst-10997	226	3	charging	charge	VERB
ajst-10997	226	4	current	current	NOUN
ajst-10997	226	5	reaches	reach	VERB
ajst-10997	226	6	a	a	DET
ajst-10997	226	7	certain	certain	ADJ
ajst-10997	226	8	cutoff	cutoff	NOUN
ajst-10997	226	9	current	current	NOUN
ajst-10997	226	10	,	,	PUNCT
ajst-10997	226	11	the	the	DET
ajst-10997	226	12	battery	battery	NOUN
ajst-10997	226	13	is	be	AUX
ajst-10997	226	14	then	then	ADV
ajst-10997	226	15	discharged	discharge	VERB
ajst-10997	226	16	and	and	CCONJ
ajst-10997	226	17	discharged	discharge	VERB
ajst-10997	226	18	to	to	ADP
ajst-10997	226	19	the	the	DET
ajst-10997	226	20	ocv	ocv	ADJ
ajst-10997	226	21	voltage	voltage	NOUN
ajst-10997	226	22	corresponding	correspond	VERB
ajst-10997	226	23	to	to	ADP
ajst-10997	226	24	80	80	NUM
ajst-10997	226	25	%	%	NOUN
ajst-10997	226	26	soc	soc	NOUN
ajst-10997	226	27	without	without	ADP
ajst-10997	226	28	starting	start	VERB
ajst-10997	226	29	frequent	frequent	ADJ
ajst-10997	226	30	charging	charging	NOUN
ajst-10997	226	31	and	and	CCONJ
ajst-10997	226	32	discharging	discharge	VERB
ajst-10997	226	33	until	until	SCONJ
ajst-10997	226	34	it	it	PRON
ajst-10997	226	35	is	be	AUX
ajst-10997	226	36	discharged	discharge	VERB
ajst-10997	226	37	to	to	ADP
ajst-10997	226	38	the	the	DET
ajst-10997	226	39	minimum	minimum	NOUN
ajst-10997	226	40	cutoff	cutoff	NOUN
ajst-10997	226	41	voltage	voltage	NOUN
ajst-10997	226	42	.	.	PUNCT
ajst-10997	227	1	subfigure	subfigure	PROPN
ajst-10997	227	2	b	b	PROPN
ajst-10997	227	3	in	in	ADP
ajst-10997	227	4	figure	figure	NOUN
ajst-10997	227	5	4	4	NUM
ajst-10997	227	6	shows	show	VERB
ajst-10997	227	7	the	the	DET
ajst-10997	227	8	bjdst	bjdst	NOUN
ajst-10997	227	9	test	test	NOUN
ajst-10997	227	10	voltage	voltage	NOUN
ajst-10997	227	11	at	at	ADP
ajst-10997	227	12	50	50	NUM
ajst-10997	227	13	%	%	NOUN
ajst-10997	227	14	soc	soc	NOUN
ajst-10997	227	15	at	at	ADP
ajst-10997	227	16	0	0	NUM
ajst-10997	227	17	°	°	NOUN
ajst-10997	227	18	c	c	NOUN
ajst-10997	227	19	.	.	PUNCT
ajst-10997	228	1	it	it	PRON
ajst-10997	228	2	shows	show	VERB
ajst-10997	228	3	the	the	DET
ajst-10997	228	4	bjdst	bjdst	NOUN
ajst-10997	228	5	test	test	NOUN
ajst-10997	228	6	voltage	voltage	NOUN
ajst-10997	228	7	at	at	ADP
ajst-10997	228	8	50	50	NUM
ajst-10997	228	9	%	%	NOUN
ajst-10997	228	10	soc	soc	NOUN
ajst-10997	228	11	at	at	ADP
ajst-10997	228	12	0	0	NUM
ajst-10997	228	13	°	°	NOUN
ajst-10997	228	14	c	c	NOUN
ajst-10997	228	15	.	.	PUNCT
ajst-10997	229	1	it	it	PRON
ajst-10997	229	2	indicates	indicate	VERB
ajst-10997	229	3	that	that	SCONJ
ajst-10997	229	4	the	the	DET
ajst-10997	229	5	battery	battery	NOUN
ajst-10997	229	6	is	be	AUX
ajst-10997	229	7	charged	charge	VERB
ajst-10997	229	8	first	first	ADV
ajst-10997	229	9	.	.	PUNCT
ajst-10997	230	1	when	when	SCONJ
ajst-10997	230	2	the	the	DET
ajst-10997	230	3	charging	charge	VERB
ajst-10997	230	4	current	current	NOUN
ajst-10997	230	5	reaches	reach	VERB
ajst-10997	230	6	a	a	DET
ajst-10997	230	7	certain	certain	ADJ
ajst-10997	230	8	cutoff	cutoff	NOUN
ajst-10997	230	9	current	current	NOUN
ajst-10997	230	10	,	,	PUNCT
ajst-10997	230	11	the	the	DET
ajst-10997	230	12	battery	battery	NOUN
ajst-10997	230	13	is	be	AUX
ajst-10997	230	14	then	then	ADV
ajst-10997	230	15	discharged	discharge	VERB
ajst-10997	230	16	and	and	CCONJ
ajst-10997	230	17	discharged	discharge	VERB
ajst-10997	230	18	to	to	ADP
ajst-10997	230	19	the	the	DET
ajst-10997	230	20	ocv	ocv	ADJ
ajst-10997	230	21	voltage	voltage	NOUN
ajst-10997	230	22	corresponding	correspond	VERB
ajst-10997	230	23	to	to	ADP
ajst-10997	230	24	50	50	NUM
ajst-10997	230	25	%	%	NOUN
ajst-10997	230	26	soc	soc	NOUN
ajst-10997	230	27	without	without	ADP
ajst-10997	230	28	starting	start	VERB
ajst-10997	230	29	frequent	frequent	ADJ
ajst-10997	230	30	charging	charging	NOUN
ajst-10997	230	31	and	and	CCONJ
ajst-10997	230	32	discharging	discharge	VERB
ajst-10997	230	33	until	until	SCONJ
ajst-10997	230	34	it	it	PRON
ajst-10997	230	35	is	be	AUX
ajst-10997	230	36	discharged	discharge	VERB
ajst-10997	230	37	to	to	ADP
ajst-10997	230	38	the	the	DET
ajst-10997	230	39	minimum	minimum	NOUN
ajst-10997	230	40	cutoff	cutoff	NOUN
ajst-10997	230	41	voltage	voltage	NOUN
ajst-10997	230	42	.	.	PUNCT
ajst-10997	231	1	subfigure	subfigure	NOUN
ajst-10997	231	2	c	c	PROPN
ajst-10997	231	3	in	in	ADP
ajst-10997	231	4	figure	figure	NOUN
ajst-10997	231	5	4	4	NUM
ajst-10997	231	6	shows	show	VERB
ajst-10997	231	7	the	the	DET
ajst-10997	231	8	bjdst	bjdst	NOUN
ajst-10997	231	9	test	test	NOUN
ajst-10997	231	10	at	at	ADP
ajst-10997	231	11	80	80	NUM
ajst-10997	231	12	%	%	NOUN
ajst-10997	231	13	soc	soc	NOUN
ajst-10997	231	14	at	at	ADP
ajst-10997	231	15	25	25	NUM
ajst-10997	231	16	degrees	degree	NOUN
ajst-10997	231	17	celsius	celsius	NOUN
ajst-10997	231	18	.	.	PUNCT
ajst-10997	232	1	subplot	subplot	NOUN
ajst-10997	232	2	d	d	NOUN
ajst-10997	232	3	in	in	ADP
ajst-10997	232	4	figure	figure	NOUN
ajst-10997	232	5	4	4	NUM
ajst-10997	232	6	shows	show	VERB
ajst-10997	232	7	the	the	DET
ajst-10997	232	8	bjdst	bjdst	NOUN
ajst-10997	232	9	test	test	NOUN
ajst-10997	232	10	at	at	ADP
ajst-10997	232	11	50	50	NUM
ajst-10997	232	12	%	%	NOUN
ajst-10997	232	13	soc	soc	NOUN
ajst-10997	232	14	at	at	ADP
ajst-10997	232	15	25	25	NUM
ajst-10997	232	16	degrees	degree	NOUN
ajst-10997	232	17	c.	c.	NOUN
ajst-10997	232	18	subplot	subplot	NOUN
ajst-10997	232	19	e	e	NOUN
ajst-10997	232	20	in	in	ADP
ajst-10997	232	21	figure	figure	NOUN
ajst-10997	232	22	4	4	NUM
ajst-10997	232	23	shows	show	VERB
ajst-10997	232	24	the	the	DET
ajst-10997	232	25	bjdst	bjdst	NOUN
ajst-10997	232	26	test	test	NOUN
ajst-10997	232	27	at	at	ADP
ajst-10997	232	28	80	80	NUM
ajst-10997	232	29	%	%	NOUN
ajst-10997	232	30	soc	soc	NOUN
ajst-10997	232	31	at	at	ADP
ajst-10997	232	32	45	45	NUM
ajst-10997	232	33	degrees	degree	NOUN
ajst-10997	232	34	c.	c.	NOUN
ajst-10997	232	35	subplot	subplot	NOUN
ajst-10997	232	36	f	f	PROPN
ajst-10997	232	37	in	in	ADP
ajst-10997	232	38	figure	figure	NOUN
ajst-10997	232	39	4	4	NUM
ajst-10997	232	40	shows	show	VERB
ajst-10997	232	41	the	the	DET
ajst-10997	232	42	bjdst	bjdst	NOUN
ajst-10997	232	43	test	test	NOUN
ajst-10997	232	44	at	at	ADP
ajst-10997	232	45	50	50	NUM
ajst-10997	232	46	%	%	NOUN
ajst-10997	232	47	soc	soc	NOUN
ajst-10997	232	48	at	at	ADP
ajst-10997	232	49	45	45	NUM
ajst-10997	232	50	degrees	degree	NOUN
ajst-10997	232	51	.	.	PUNCT
ajst-10997	233	1	95	95	NUM
ajst-10997	233	2	figure	figure	NOUN
ajst-10997	233	3	5	5	NUM
ajst-10997	233	4	.	.	X
ajst-10997	233	5	soc	soc	NOUN
ajst-10997	233	6	test	test	NOUN
ajst-10997	233	7	data	datum	NOUN
ajst-10997	233	8	at	at	ADP
ajst-10997	233	9	50	50	NUM
ajst-10997	233	10	percent	percent	NOUN
ajst-10997	233	11	under	under	ADP
ajst-10997	233	12	bjdst	bjdst	NOUN
ajst-10997	233	13	conditions	condition	NOUN
ajst-10997	233	14	subplot	subplot	VERB
ajst-10997	233	15	a	a	PRON
ajst-10997	233	16	in	in	ADP
ajst-10997	233	17	figure	figure	NOUN
ajst-10997	233	18	5	5	NUM
ajst-10997	233	19	represents	represent	VERB
ajst-10997	233	20	the	the	DET
ajst-10997	233	21	bjdst	bjdst	NOUN
ajst-10997	233	22	operating	operating	NOUN
ajst-10997	233	23	condition	condition	NOUN
ajst-10997	233	24	current	current	ADJ
ajst-10997	233	25	data	datum	NOUN
ajst-10997	233	26	of	of	ADP
ajst-10997	233	27	80%soc	80%soc	PROPN
ajst-10997	233	28	test	test	NOUN
ajst-10997	233	29	at	at	ADP
ajst-10997	233	30	0	0	NUM
ajst-10997	233	31	degree	degree	NOUN
ajst-10997	233	32	celsius	celsius	NOUN
ajst-10997	233	33	.	.	PUNCT
ajst-10997	234	1	subplot	subplot	NOUN
ajst-10997	234	2	b	b	PROPN
ajst-10997	234	3	in	in	ADP
ajst-10997	234	4	figure	figure	NOUN
ajst-10997	234	5	5	5	NUM
ajst-10997	234	6	represents	represent	VERB
ajst-10997	234	7	the	the	DET
ajst-10997	234	8	bjdst	bjdst	NOUN
ajst-10997	234	9	operating	operating	NOUN
ajst-10997	234	10	condition	condition	NOUN
ajst-10997	234	11	current	current	ADJ
ajst-10997	234	12	data	datum	NOUN
ajst-10997	234	13	of	of	ADP
ajst-10997	234	14	50%soc	50%soc	PROPN
ajst-10997	234	15	test	test	NOUN
ajst-10997	234	16	at	at	ADP
ajst-10997	234	17	0	0	NUM
ajst-10997	234	18	degree	degree	NOUN
ajst-10997	234	19	celsius	celsius	NOUN
ajst-10997	234	20	state	state	NOUN
ajst-10997	234	21	.	.	PUNCT
ajst-10997	235	1	subplot	subplot	NOUN
ajst-10997	235	2	c	c	PROPN
ajst-10997	235	3	in	in	ADP
ajst-10997	235	4	figure	figure	NOUN
ajst-10997	235	5	5	5	NUM
ajst-10997	235	6	represents	represent	VERB
ajst-10997	235	7	the	the	DET
ajst-10997	235	8	bjdst	bjdst	NOUN
ajst-10997	235	9	operating	operating	NOUN
ajst-10997	235	10	condition	condition	NOUN
ajst-10997	235	11	current	current	ADJ
ajst-10997	235	12	data	datum	NOUN
ajst-10997	235	13	of	of	ADP
ajst-10997	235	14	80%soc	80%soc	PROPN
ajst-10997	235	15	test	test	NOUN
ajst-10997	235	16	at	at	ADP
ajst-10997	235	17	25	25	NUM
ajst-10997	235	18	degrees	degree	NOUN
ajst-10997	235	19	celsius	celsius	NOUN
ajst-10997	235	20	.	.	PUNCT
ajst-10997	236	1	the	the	DET
ajst-10997	236	2	d	d	PROPN
ajst-10997	236	3	subplot	subplot	NOUN
ajst-10997	236	4	in	in	ADP
ajst-10997	236	5	figure	figure	NOUN
ajst-10997	236	6	5	5	NUM
ajst-10997	236	7	represents	represent	VERB
ajst-10997	236	8	the	the	DET
ajst-10997	236	9	bjdst	bjdst	NOUN
ajst-10997	236	10	operating	operating	NOUN
ajst-10997	236	11	condition	condition	NOUN
ajst-10997	236	12	current	current	ADJ
ajst-10997	236	13	data	datum	NOUN
ajst-10997	236	14	of	of	ADP
ajst-10997	236	15	the	the	DET
ajst-10997	236	16	50%soc	50%soc	PROPN
ajst-10997	236	17	test	test	NOUN
ajst-10997	236	18	at	at	ADP
ajst-10997	236	19	25	25	NUM
ajst-10997	236	20	degrees	degree	NOUN
ajst-10997	236	21	celsius	celsius	NOUN
ajst-10997	236	22	.	.	PUNCT
ajst-10997	237	1	the	the	DET
ajst-10997	237	2	e	e	NOUN
ajst-10997	237	3	subplot	subplot	NOUN
ajst-10997	237	4	in	in	ADP
ajst-10997	237	5	figure	figure	NOUN
ajst-10997	237	6	5	5	NUM
ajst-10997	237	7	represents	represent	VERB
ajst-10997	237	8	the	the	DET
ajst-10997	237	9	bjdst	bjdst	NOUN
ajst-10997	237	10	operating	operating	NOUN
ajst-10997	237	11	condition	condition	NOUN
ajst-10997	237	12	current	current	ADJ
ajst-10997	237	13	data	datum	NOUN
ajst-10997	237	14	of	of	ADP
ajst-10997	237	15	80%soc	80%soc	PROPN
ajst-10997	237	16	test	test	NOUN
ajst-10997	237	17	at	at	ADP
ajst-10997	237	18	45	45	NUM
ajst-10997	237	19	degrees	degree	NOUN
ajst-10997	237	20	celsius	celsius	NOUN
ajst-10997	237	21	.	.	PUNCT
ajst-10997	238	1	the	the	DET
ajst-10997	238	2	f	f	PROPN
ajst-10997	238	3	subplot	subplot	NOUN
ajst-10997	238	4	in	in	ADP
ajst-10997	238	5	figure	figure	NOUN
ajst-10997	238	6	5	5	NUM
ajst-10997	238	7	represents	represent	VERB
ajst-10997	238	8	the	the	DET
ajst-10997	238	9	bjdst	bjdst	NOUN
ajst-10997	238	10	operating	operating	NOUN
ajst-10997	238	11	condition	condition	NOUN
ajst-10997	238	12	current	current	ADJ
ajst-10997	238	13	data	datum	NOUN
ajst-10997	238	14	of	of	ADP
ajst-10997	238	15	50%soc	50%soc	PROPN
ajst-10997	238	16	test	test	NOUN
ajst-10997	238	17	at	at	ADP
ajst-10997	238	18	45	45	NUM
ajst-10997	238	19	degrees	degree	NOUN
ajst-10997	238	20	celsius	celsius	NOUN
ajst-10997	238	21	state	state	NOUN
ajst-10997	238	22	.	.	PUNCT
ajst-10997	239	1	according	accord	VERB
ajst-10997	239	2	to	to	ADP
ajst-10997	239	3	the	the	DET
ajst-10997	239	4	definition	definition	NOUN
ajst-10997	239	5	of	of	ADP
ajst-10997	239	6	soc	soc	NOUN
ajst-10997	239	7	,	,	PUNCT
ajst-10997	239	8	it	it	PRON
ajst-10997	239	9	can	can	AUX
ajst-10997	239	10	be	be	AUX
ajst-10997	239	11	seen	see	VERB
ajst-10997	239	12	that	that	SCONJ
ajst-10997	239	13	when	when	SCONJ
ajst-10997	239	14	estimating	estimate	VERB
ajst-10997	239	15	soc	soc	NOUN
ajst-10997	239	16	,	,	PUNCT
ajst-10997	239	17	the	the	DET
ajst-10997	239	18	accurate	accurate	ADJ
ajst-10997	239	19	initial	initial	ADJ
ajst-10997	239	20	capacity	capacity	NOUN
ajst-10997	239	21	also	also	ADV
ajst-10997	239	22	directly	directly	ADV
ajst-10997	239	23	determines	determine	VERB
ajst-10997	239	24	the	the	DET
ajst-10997	239	25	accuracy	accuracy	NOUN
ajst-10997	239	26	of	of	ADP
ajst-10997	239	27	soc	soc	NOUN
ajst-10997	239	28	value	value	NOUN
ajst-10997	239	29	estimation	estimation	NOUN
ajst-10997	239	30	.	.	PUNCT
ajst-10997	240	1	so	so	ADV
ajst-10997	240	2	,	,	PUNCT
ajst-10997	240	3	in	in	ADP
ajst-10997	240	4	the	the	DET
ajst-10997	240	5	calce	calce	ADJ
ajst-10997	240	6	data	datum	NOUN
ajst-10997	240	7	set	set	NOUN
ajst-10997	240	8	of	of	ADP
ajst-10997	240	9	the	the	DET
ajst-10997	240	10	university	university	PROPN
ajst-10997	240	11	of	of	ADP
ajst-10997	240	12	maryland	maryland	PROPN
ajst-10997	240	13	,	,	PUNCT
ajst-10997	240	14	the	the	DET
ajst-10997	240	15	initial	initial	ADJ
ajst-10997	240	16	capacity	capacity	NOUN
ajst-10997	240	17	was	be	AUX
ajst-10997	240	18	re	re	VERB
ajst-10997	240	19	-	-	VERB
ajst-10997	240	20	tested	test	VERB
ajst-10997	240	21	further	far	ADV
ajst-10997	240	22	in	in	ADP
ajst-10997	240	23	the	the	DET
ajst-10997	240	24	dynamic	dynamic	ADJ
ajst-10997	240	25	testing	testing	NOUN
ajst-10997	240	26	phase	phase	NOUN
ajst-10997	240	27	.	.	PUNCT
ajst-10997	241	1	in	in	ADP
ajst-10997	241	2	this	this	DET
ajst-10997	241	3	paper	paper	NOUN
ajst-10997	241	4	,	,	PUNCT
ajst-10997	241	5	the	the	DET
ajst-10997	241	6	timestep	timestep	NOUN
ajst-10997	241	7	is	be	AUX
ajst-10997	241	8	selected	select	VERB
ajst-10997	241	9	as	as	ADP
ajst-10997	241	10	3,5,7,10	3,5,7,10	NUM
ajst-10997	241	11	.	.	PUNCT
ajst-10997	242	1	the	the	DET
ajst-10997	242	2	epoch	epoch	NOUN
ajst-10997	242	3	is	be	AUX
ajst-10997	242	4	selected	select	VERB
ajst-10997	242	5	as	as	ADP
ajst-10997	242	6	50	50	NUM
ajst-10997	242	7	,	,	PUNCT
ajst-10997	242	8	and	and	CCONJ
ajst-10997	242	9	the	the	DET
ajst-10997	242	10	number	number	NOUN
ajst-10997	242	11	of	of	ADP
ajst-10997	242	12	gru	gru	NOUN
ajst-10997	242	13	layers	layer	NOUN
ajst-10997	242	14	is	be	AUX
ajst-10997	242	15	selected	select	VERB
ajst-10997	242	16	as	as	ADP
ajst-10997	242	17	3	3	NUM
ajst-10997	242	18	.	.	PUNCT
ajst-10997	243	1	the	the	DET
ajst-10997	243	2	multi	multi	ADJ
ajst-10997	243	3	-	-	ADJ
ajst-10997	243	4	head	head	ADJ
ajst-10997	243	5	attention	attention	NOUN
ajst-10997	243	6	layer	layer	NOUN
ajst-10997	243	7	is	be	AUX
ajst-10997	243	8	selected	select	VERB
ajst-10997	243	9	as	as	ADP
ajst-10997	243	10	three	three	NUM
ajst-10997	243	11	layers	layer	NOUN
ajst-10997	243	12	.	.	PUNCT
ajst-10997	244	1	the	the	DET
ajst-10997	244	2	feedforward	feedforward	ADJ
ajst-10997	244	3	neural	neural	ADJ
ajst-10997	244	4	network	network	NOUN
ajst-10997	244	5	is	be	AUX
ajst-10997	244	6	chosen	choose	VERB
ajst-10997	244	7	as	as	ADP
ajst-10997	244	8	2	2	NUM
ajst-10997	244	9	layers	layer	NOUN
ajst-10997	244	10	.	.	PUNCT
ajst-10997	245	1	the	the	DET
ajst-10997	245	2	network	network	NOUN
ajst-10997	245	3	width	width	NOUN
ajst-10997	245	4	of	of	ADP
ajst-10997	245	5	gru	gru	NOUN
ajst-10997	245	6	is	be	AUX
ajst-10997	245	7	selected	select	VERB
ajst-10997	245	8	as	as	ADP
ajst-10997	245	9	64	64	NUM
ajst-10997	245	10	,	,	PUNCT
ajst-10997	245	11	and	and	CCONJ
ajst-10997	245	12	the	the	DET
ajst-10997	245	13	head	head	NOUN
ajst-10997	245	14	of	of	ADP
ajst-10997	245	15	the	the	DET
ajst-10997	245	16	multi	multi	ADJ
ajst-10997	245	17	-	-	ADJ
ajst-10997	245	18	head	head	ADJ
ajst-10997	245	19	attention	attention	NOUN
ajst-10997	245	20	mechanism	mechanism	NOUN
ajst-10997	245	21	is	be	AUX
ajst-10997	245	22	selected	select	VERB
ajst-10997	245	23	as	as	ADP
ajst-10997	245	24	3	3	NUM
ajst-10997	245	25	.	.	NOUN
ajst-10997	245	26	5	5	NUM
ajst-10997	245	27	.	.	NOUN
ajst-10997	245	28	results	result	NOUN
ajst-10997	245	29	and	and	CCONJ
ajst-10997	245	30	discussion	discussion	NOUN
ajst-10997	245	31	in	in	ADP
ajst-10997	245	32	this	this	DET
ajst-10997	245	33	paper	paper	NOUN
ajst-10997	245	34	,	,	PUNCT
ajst-10997	245	35	the	the	DET
ajst-10997	245	36	mean	mean	ADJ
ajst-10997	245	37	square	square	ADJ
ajst-10997	245	38	error	error	NOUN
ajst-10997	245	39	is	be	AUX
ajst-10997	245	40	used	use	VERB
ajst-10997	245	41	for	for	ADP
ajst-10997	245	42	both	both	CCONJ
ajst-10997	245	43	the	the	DET
ajst-10997	245	44	training	training	NOUN
ajst-10997	245	45	error	error	NOUN
ajst-10997	245	46	and	and	CCONJ
ajst-10997	245	47	the	the	DET
ajst-10997	245	48	testing	testing	NOUN
ajst-10997	245	49	error	error	NOUN
ajst-10997	245	50	.	.	PUNCT
ajst-10997	246	1	in	in	ADP
ajst-10997	246	2	this	this	DET
ajst-10997	246	3	paper	paper	NOUN
ajst-10997	246	4	,	,	PUNCT
ajst-10997	246	5	the	the	DET
ajst-10997	246	6	model	model	NOUN
ajst-10997	246	7	is	be	AUX
ajst-10997	246	8	first	first	ADV
ajst-10997	246	9	trained	train	VERB
ajst-10997	246	10	according	accord	VERB
ajst-10997	246	11	to	to	ADP
ajst-10997	246	12	different	different	ADJ
ajst-10997	246	13	timestep	timestep	NOUN
ajst-10997	246	14	.	.	PUNCT
ajst-10997	247	1	since	since	SCONJ
ajst-10997	247	2	the	the	DET
ajst-10997	247	3	timestep	timestep	NOUN
ajst-10997	247	4	is	be	AUX
ajst-10997	247	5	different	different	ADJ
ajst-10997	247	6	,	,	PUNCT
ajst-10997	247	7	it	it	PRON
ajst-10997	247	8	contains	contain	VERB
ajst-10997	247	9	different	different	ADJ
ajst-10997	247	10	lengths	length	NOUN
ajst-10997	247	11	of	of	ADP
ajst-10997	247	12	temporal	temporal	ADJ
ajst-10997	247	13	information	information	NOUN
ajst-10997	247	14	.	.	PUNCT
ajst-10997	248	1	figure	figure	VERB
ajst-10997	248	2	6	6	NUM
ajst-10997	248	3	.	.	PUNCT
ajst-10997	249	1	training	train	VERB
ajst-10997	249	2	errors	error	NOUN
ajst-10997	249	3	in	in	ADP
ajst-10997	249	4	different	different	ADJ
ajst-10997	249	5	timestep	timestep	NOUN
ajst-10997	249	6	states	state	VERB
ajst-10997	249	7	the	the	DET
ajst-10997	249	8	selection	selection	NOUN
ajst-10997	249	9	of	of	ADP
ajst-10997	249	10	hyperparameters	hyperparameter	NOUN
ajst-10997	249	11	often	often	ADV
ajst-10997	249	12	determines	determine	VERB
ajst-10997	249	13	the	the	DET
ajst-10997	249	14	performance	performance	NOUN
ajst-10997	249	15	of	of	ADP
ajst-10997	249	16	this	this	DET
ajst-10997	249	17	designed	design	VERB
ajst-10997	249	18	network	network	NOUN
ajst-10997	249	19	.	.	PUNCT
ajst-10997	250	1	figure	figure	NOUN
ajst-10997	250	2	6	6	NUM
ajst-10997	250	3	represents	represent	VERB
ajst-10997	250	4	the	the	DET
ajst-10997	250	5	training	training	NOUN
ajst-10997	250	6	error	error	NOUN
ajst-10997	250	7	for	for	ADP
ajst-10997	250	8	different	different	ADJ
ajst-10997	250	9	timestep	timestep	NOUN
ajst-10997	250	10	states	state	NOUN
ajst-10997	250	11	.	.	PUNCT
ajst-10997	251	1	in	in	ADP
ajst-10997	251	2	this	this	DET
ajst-10997	251	3	paper	paper	NOUN
ajst-10997	251	4	,	,	PUNCT
ajst-10997	251	5	a	a	DET
ajst-10997	251	6	more	more	ADV
ajst-10997	251	7	suitable	suitable	ADJ
ajst-10997	251	8	timestep	timestep	NOUN
ajst-10997	251	9	is	be	AUX
ajst-10997	251	10	selected	select	VERB
ajst-10997	251	11	by	by	ADP
ajst-10997	251	12	comparing	compare	VERB
ajst-10997	251	13	the	the	DET
ajst-10997	251	14	training	training	NOUN
ajst-10997	251	15	2	2	NUM
ajst-10997	251	16	3	3	NUM
ajst-10997	251	17	4	4	NUM
ajst-10997	251	18	5	5	NUM
ajst-10997	251	19	6	6	NUM
ajst-10997	251	20	7	7	NUM
ajst-10997	251	21	8	8	NUM
ajst-10997	251	22	9	9	NUM
ajst-10997	251	23	10	10	NUM
ajst-10997	251	24	11	11	NUM
ajst-10997	251	25	0.00	0.00	NUM
ajst-10997	251	26	0.02	0.02	NUM
ajst-10997	251	27	0.04	0.04	NUM
ajst-10997	251	28	0.06	0.06	NUM
ajst-10997	251	29	0.08	0.08	NUM
ajst-10997	251	30	0.10	0.10	NUM
ajst-10997	251	31	0.12	0.12	NUM
ajst-10997	251	32	0.14	0.14	NUM
ajst-10997	251	33	0.16	0.16	NUM
ajst-10997	251	34	0.18	0.18	NUM
ajst-10997	251	35	t	t	NOUN
ajst-10997	251	36	r	r	NOUN
ajst-10997	251	37	a	a	PRON
ajst-10997	251	38	i	i	NOUN
ajst-10997	251	39	n	n	NOUN
ajst-10997	251	40	e	e	NOUN
ajst-10997	251	41	r	r	NOUN
ajst-10997	251	42	r	r	NOUN
ajst-10997	251	43	o	o	NOUN
ajst-10997	251	44	r	r	NOUN
ajst-10997	251	45	(	(	PUNCT
ajst-10997	251	46	%	%	INTJ
ajst-10997	251	47	)	)	PUNCT
ajst-10997	251	48	timsstep	timsstep	VERB
ajst-10997	251	49	96	96	NUM
ajst-10997	251	50	error	error	NOUN
ajst-10997	251	51	when	when	SCONJ
ajst-10997	251	52	the	the	DET
ajst-10997	251	53	timestep	timestep	NOUN
ajst-10997	251	54	is	be	AUX
ajst-10997	251	55	3	3	NUM
ajst-10997	251	56	,	,	PUNCT
ajst-10997	251	57	5	5	NUM
ajst-10997	251	58	,	,	PUNCT
ajst-10997	251	59	7	7	NUM
ajst-10997	251	60	and	and	CCONJ
ajst-10997	251	61	10	10	NUM
ajst-10997	251	62	,	,	PUNCT
ajst-10997	251	63	respectively	respectively	ADV
ajst-10997	251	64	.	.	PUNCT
ajst-10997	252	1	if	if	SCONJ
ajst-10997	252	2	the	the	DET
ajst-10997	252	3	timestep	timestep	NOUN
ajst-10997	252	4	is	be	AUX
ajst-10997	252	5	selected	select	VERB
ajst-10997	252	6	too	too	ADV
ajst-10997	252	7	large	large	ADJ
ajst-10997	252	8	,	,	PUNCT
ajst-10997	252	9	firstly	firstly	ADV
ajst-10997	252	10	,	,	PUNCT
ajst-10997	252	11	it	it	PRON
ajst-10997	252	12	will	will	AUX
ajst-10997	252	13	affect	affect	VERB
ajst-10997	252	14	the	the	DET
ajst-10997	252	15	training	training	NOUN
ajst-10997	252	16	performance	performance	NOUN
ajst-10997	252	17	of	of	ADP
ajst-10997	252	18	the	the	DET
ajst-10997	252	19	designed	design	VERB
ajst-10997	252	20	algorithm	algorithm	NOUN
ajst-10997	252	21	.	.	PUNCT
ajst-10997	253	1	it	it	PRON
ajst-10997	253	2	causes	cause	VERB
ajst-10997	253	3	the	the	DET
ajst-10997	253	4	network	network	NOUN
ajst-10997	253	5	training	training	NOUN
ajst-10997	253	6	too	too	ADV
ajst-10997	253	7	slow	slow	ADJ
ajst-10997	253	8	.	.	PUNCT
ajst-10997	254	1	moreover	moreover	ADV
ajst-10997	254	2	,	,	PUNCT
ajst-10997	254	3	too	too	ADV
ajst-10997	254	4	much	much	ADJ
ajst-10997	254	5	input	input	NOUN
ajst-10997	254	6	of	of	ADP
ajst-10997	254	7	useless	useless	ADJ
ajst-10997	254	8	information	information	NOUN
ajst-10997	254	9	will	will	AUX
ajst-10997	254	10	lead	lead	VERB
ajst-10997	254	11	to	to	ADP
ajst-10997	254	12	the	the	DET
ajst-10997	254	13	problem	problem	NOUN
ajst-10997	254	14	of	of	ADP
ajst-10997	254	15	long	long	ADJ
ajst-10997	254	16	-	-	PUNCT
ajst-10997	254	17	term	term	NOUN
ajst-10997	254	18	dependency	dependency	NOUN
ajst-10997	254	19	more	more	ADV
ajst-10997	254	20	prominent	prominent	ADJ
ajst-10997	254	21	.	.	PUNCT
ajst-10997	255	1	if	if	SCONJ
ajst-10997	255	2	the	the	DET
ajst-10997	255	3	timestep	timestep	NOUN
ajst-10997	255	4	is	be	AUX
ajst-10997	255	5	chosen	choose	VERB
ajst-10997	255	6	too	too	ADV
ajst-10997	255	7	small	small	ADJ
ajst-10997	255	8	,	,	PUNCT
ajst-10997	255	9	it	it	PRON
ajst-10997	255	10	will	will	AUX
ajst-10997	255	11	cause	cause	VERB
ajst-10997	255	12	the	the	DET
ajst-10997	255	13	designed	design	VERB
ajst-10997	255	14	algorithm	algorithm	NOUN
ajst-10997	255	15	network	network	NOUN
ajst-10997	255	16	to	to	PART
ajst-10997	255	17	perform	perform	VERB
ajst-10997	255	18	incorrectly	incorrectly	ADV
ajst-10997	255	19	and	and	CCONJ
ajst-10997	255	20	will	will	AUX
ajst-10997	255	21	also	also	ADV
ajst-10997	255	22	lead	lead	VERB
ajst-10997	255	23	to	to	ADP
ajst-10997	255	24	an	an	DET
ajst-10997	255	25	underfitting	underfitting	ADJ
ajst-10997	255	26	phenomenon	phenomenon	NOUN
ajst-10997	255	27	.	.	PUNCT
ajst-10997	256	1	moreover	moreover	ADV
ajst-10997	256	2	,	,	PUNCT
ajst-10997	256	3	when	when	SCONJ
ajst-10997	256	4	the	the	DET
ajst-10997	256	5	timestep	timestep	NOUN
ajst-10997	256	6	is	be	AUX
ajst-10997	256	7	selected	select	VERB
ajst-10997	256	8	small	small	ADJ
ajst-10997	256	9	,	,	PUNCT
ajst-10997	256	10	the	the	DET
ajst-10997	256	11	timing	timing	NOUN
ajst-10997	256	12	information	information	NOUN
ajst-10997	256	13	in	in	ADP
ajst-10997	256	14	it	it	PRON
ajst-10997	256	15	is	be	AUX
ajst-10997	256	16	not	not	PART
ajst-10997	256	17	adequately	adequately	ADV
ajst-10997	256	18	reflected	reflect	VERB
ajst-10997	256	19	.	.	PUNCT
ajst-10997	257	1	the	the	DET
ajst-10997	257	2	extraction	extraction	NOUN
ajst-10997	257	3	of	of	ADP
ajst-10997	257	4	timing	timing	NOUN
ajst-10997	257	5	features	feature	NOUN
ajst-10997	257	6	becomes	become	VERB
ajst-10997	257	7	more	more	ADV
ajst-10997	257	8	difficult	difficult	ADJ
ajst-10997	257	9	.	.	PUNCT
ajst-10997	258	1	the	the	DET
ajst-10997	258	2	estimation	estimation	NOUN
ajst-10997	258	3	of	of	ADP
ajst-10997	258	4	li	li	PROPN
ajst-10997	258	5	-	-	NOUN
ajst-10997	258	6	ion	ion	NOUN
ajst-10997	258	7	battery	battery	NOUN
ajst-10997	258	8	soc	soc	NOUN
ajst-10997	258	9	is	be	AUX
ajst-10997	258	10	mainly	mainly	ADV
ajst-10997	258	11	using	use	VERB
ajst-10997	258	12	li	li	NOUN
ajst-10997	258	13	-	-	NOUN
ajst-10997	258	14	ion	ion	NOUN
ajst-10997	258	15	battery	battery	NOUN
ajst-10997	258	16	in	in	ADP
ajst-10997	258	17	the	the	DET
ajst-10997	258	18	charge	charge	NOUN
ajst-10997	258	19	and	and	CCONJ
ajst-10997	258	20	discharge	discharge	VERB
ajst-10997	258	21	itself	itself	PRON
ajst-10997	258	22	is	be	AUX
ajst-10997	258	23	a	a	DET
ajst-10997	258	24	time	time	NOUN
ajst-10997	258	25	series	series	NOUN
ajst-10997	258	26	.	.	PUNCT
ajst-10997	259	1	therefore	therefore	ADV
ajst-10997	259	2	,	,	PUNCT
ajst-10997	259	3	looking	look	VERB
ajst-10997	259	4	at	at	ADP
ajst-10997	259	5	figure	figure	NOUN
ajst-10997	259	6	figure	figure	NOUN
ajst-10997	259	7	6	6	NUM
ajst-10997	259	8	,	,	PUNCT
ajst-10997	259	9	there	there	PRON
ajst-10997	259	10	is	be	VERB
ajst-10997	259	11	not	not	PART
ajst-10997	259	12	much	much	ADJ
ajst-10997	259	13	difference	difference	NOUN
ajst-10997	259	14	between	between	ADP
ajst-10997	259	15	the	the	DET
ajst-10997	259	16	training	training	NOUN
ajst-10997	259	17	error	error	NOUN
ajst-10997	259	18	when	when	SCONJ
ajst-10997	259	19	timestep	timestep	NOUN
ajst-10997	259	20	is	be	AUX
ajst-10997	259	21	5	5	NUM
ajst-10997	259	22	and	and	CCONJ
ajst-10997	259	23	when	when	SCONJ
ajst-10997	259	24	timestep	timestep	NOUN
ajst-10997	259	25	is	be	AUX
ajst-10997	259	26	10	10	NUM
ajst-10997	259	27	.	.	PUNCT
ajst-10997	260	1	according	accord	VERB
ajst-10997	260	2	to	to	ADP
ajst-10997	260	3	occam	occam	PROPN
ajst-10997	260	4	's	's	PART
ajst-10997	260	5	razor	razor	NOUN
ajst-10997	260	6	principle	principle	NOUN
ajst-10997	260	7	.	.	PUNCT
ajst-10997	261	1	in	in	ADP
ajst-10997	261	2	this	this	DET
ajst-10997	261	3	paper	paper	NOUN
ajst-10997	261	4	,	,	PUNCT
ajst-10997	261	5	we	we	PRON
ajst-10997	261	6	choose	choose	VERB
ajst-10997	261	7	timestep	timestep	NOUN
ajst-10997	261	8	of	of	ADP
ajst-10997	261	9	5	5	NUM
ajst-10997	261	10	as	as	ADP
ajst-10997	261	11	the	the	DET
ajst-10997	261	12	hyperparameter	hyperparameter	NOUN
ajst-10997	261	13	.	.	PUNCT
ajst-10997	262	1	and	and	CCONJ
ajst-10997	262	2	it	it	PRON
ajst-10997	262	3	is	be	AUX
ajst-10997	262	4	the	the	DET
ajst-10997	262	5	timestep	timestep	NOUN
ajst-10997	262	6	of	of	ADP
ajst-10997	262	7	5	5	NUM
ajst-10997	262	8	that	that	PRON
ajst-10997	262	9	is	be	AUX
ajst-10997	262	10	selected	select	VERB
ajst-10997	262	11	in	in	ADP
ajst-10997	262	12	the	the	DET
ajst-10997	262	13	later	later	ADJ
ajst-10997	262	14	experiments	experiment	NOUN
ajst-10997	262	15	and	and	CCONJ
ajst-10997	262	16	results	result	NOUN
ajst-10997	262	17	.	.	PUNCT
ajst-10997	263	1	figure	figure	VERB
ajst-10997	263	2	7	7	NUM
ajst-10997	263	3	.	.	PUNCT
ajst-10997	263	4	test	test	NOUN
ajst-10997	263	5	errors	error	NOUN
ajst-10997	263	6	in	in	ADP
ajst-10997	263	7	different	different	ADJ
ajst-10997	263	8	timestep	timestep	NOUN
ajst-10997	263	9	states	state	VERB
ajst-10997	263	10	the	the	DET
ajst-10997	263	11	test	test	NOUN
ajst-10997	263	12	error	error	NOUN
ajst-10997	263	13	best	well	ADV
ajst-10997	263	14	reflects	reflect	VERB
ajst-10997	263	15	the	the	DET
ajst-10997	263	16	generalization	generalization	NOUN
ajst-10997	263	17	of	of	ADP
ajst-10997	263	18	the	the	DET
ajst-10997	263	19	network	network	NOUN
ajst-10997	263	20	.	.	PUNCT
ajst-10997	264	1	figure	figure	NOUN
ajst-10997	264	2	7	7	NUM
ajst-10997	264	3	shows	show	VERB
ajst-10997	264	4	the	the	DET
ajst-10997	264	5	test	test	NOUN
ajst-10997	264	6	error	error	NOUN
ajst-10997	264	7	for	for	ADP
ajst-10997	264	8	different	different	ADJ
ajst-10997	264	9	timestep	timestep	NOUN
ajst-10997	264	10	states	state	NOUN
ajst-10997	264	11	.	.	PUNCT
ajst-10997	265	1	selecting	select	VERB
ajst-10997	265	2	timestep	timestep	NOUN
ajst-10997	265	3	only	only	ADV
ajst-10997	265	4	by	by	ADP
ajst-10997	265	5	training	training	NOUN
ajst-10997	265	6	error	error	NOUN
ajst-10997	265	7	may	may	AUX
ajst-10997	265	8	not	not	PART
ajst-10997	265	9	be	be	AUX
ajst-10997	265	10	able	able	ADJ
ajst-10997	265	11	to	to	PART
ajst-10997	265	12	meet	meet	VERB
ajst-10997	265	13	the	the	DET
ajst-10997	265	14	requirements	requirement	NOUN
ajst-10997	265	15	of	of	ADP
ajst-10997	265	16	prosperity	prosperity	NOUN
ajst-10997	265	17	.	.	PUNCT
ajst-10997	266	1	in	in	ADP
ajst-10997	266	2	this	this	DET
ajst-10997	266	3	paper	paper	NOUN
ajst-10997	266	4	,	,	PUNCT
ajst-10997	266	5	experiments	experiment	NOUN
ajst-10997	266	6	are	be	AUX
ajst-10997	266	7	carried	carry	VERB
ajst-10997	266	8	out	out	ADP
ajst-10997	266	9	to	to	PART
ajst-10997	266	10	test	test	VERB
ajst-10997	266	11	the	the	DET
ajst-10997	266	12	error	error	NOUN
ajst-10997	266	13	for	for	ADP
ajst-10997	266	14	different	different	ADJ
ajst-10997	266	15	timesteps	timestep	NOUN
ajst-10997	266	16	.	.	PUNCT
ajst-10997	267	1	timestep	timestep	NOUN
ajst-10997	267	2	3,5,7,10	3,5,7,10	NUM
ajst-10997	267	3	were	be	AUX
ajst-10997	267	4	selected	select	VERB
ajst-10997	267	5	for	for	ADP
ajst-10997	267	6	comparison	comparison	NOUN
ajst-10997	267	7	.	.	PUNCT
ajst-10997	268	1	figure	figure	NOUN
ajst-10997	268	2	7	7	NUM
ajst-10997	268	3	shows	show	VERB
ajst-10997	268	4	the	the	DET
ajst-10997	268	5	result	result	NOUN
ajst-10997	268	6	of	of	ADP
ajst-10997	268	7	the	the	DET
ajst-10997	268	8	test	test	NOUN
ajst-10997	268	9	error	error	NOUN
ajst-10997	268	10	.	.	PUNCT
ajst-10997	269	1	if	if	SCONJ
ajst-10997	269	2	we	we	PRON
ajst-10997	269	3	look	look	VERB
ajst-10997	269	4	at	at	ADP
ajst-10997	269	5	the	the	DET
ajst-10997	269	6	training	training	NOUN
ajst-10997	269	7	error	error	NOUN
ajst-10997	269	8	,	,	PUNCT
ajst-10997	269	9	the	the	PRON
ajst-10997	269	10	larger	large	ADJ
ajst-10997	269	11	the	the	DET
ajst-10997	269	12	timestep	timestep	NOUN
ajst-10997	269	13	selection	selection	NOUN
ajst-10997	269	14	,	,	PUNCT
ajst-10997	269	15	the	the	DET
ajst-10997	269	16	better	well	ADJ
ajst-10997	269	17	.	.	PUNCT
ajst-10997	270	1	a	a	DET
ajst-10997	270	2	timestep	timestep	NOUN
ajst-10997	270	3	of	of	ADP
ajst-10997	270	4	10	10	NUM
ajst-10997	270	5	resulted	result	VERB
ajst-10997	270	6	in	in	ADP
ajst-10997	270	7	the	the	DET
ajst-10997	270	8	smallest	small	ADJ
ajst-10997	270	9	training	training	NOUN
ajst-10997	270	10	error	error	NOUN
ajst-10997	270	11	,	,	PUNCT
ajst-10997	270	12	and	and	CCONJ
ajst-10997	270	13	a	a	DET
ajst-10997	270	14	timestep	timestep	NOUN
ajst-10997	270	15	of	of	ADP
ajst-10997	270	16	7	7	NUM
ajst-10997	270	17	resulted	result	VERB
ajst-10997	270	18	in	in	ADP
ajst-10997	270	19	the	the	DET
ajst-10997	270	20	second	second	ADJ
ajst-10997	270	21	smallest	small	ADJ
ajst-10997	270	22	training	training	NOUN
ajst-10997	270	23	error	error	NOUN
ajst-10997	270	24	.	.	PUNCT
ajst-10997	271	1	however	however	ADV
ajst-10997	271	2	,	,	PUNCT
ajst-10997	271	3	it	it	PRON
ajst-10997	271	4	is	be	AUX
ajst-10997	271	5	evident	evident	ADJ
ajst-10997	271	6	in	in	ADP
ajst-10997	271	7	the	the	DET
ajst-10997	271	8	test	test	NOUN
ajst-10997	271	9	error	error	NOUN
ajst-10997	271	10	.	.	PUNCT
ajst-10997	272	1	the	the	DET
ajst-10997	272	2	test	test	NOUN
ajst-10997	272	3	error	error	NOUN
ajst-10997	272	4	with	with	ADP
ajst-10997	272	5	a	a	DET
ajst-10997	272	6	timestep	timestep	NOUN
ajst-10997	272	7	of	of	ADP
ajst-10997	272	8	5	5	NUM
ajst-10997	272	9	is	be	AUX
ajst-10997	272	10	smaller	small	ADJ
ajst-10997	272	11	than	than	ADP
ajst-10997	272	12	that	that	PRON
ajst-10997	272	13	with	with	ADP
ajst-10997	272	14	a	a	DET
ajst-10997	272	15	timestep	timestep	NOUN
ajst-10997	272	16	of	of	ADP
ajst-10997	272	17	7	7	NUM
ajst-10997	272	18	.	.	PUNCT
ajst-10997	273	1	there	there	PRON
ajst-10997	273	2	is	be	VERB
ajst-10997	273	3	little	little	ADJ
ajst-10997	273	4	difference	difference	NOUN
ajst-10997	273	5	between	between	ADP
ajst-10997	273	6	the	the	DET
ajst-10997	273	7	test	test	NOUN
ajst-10997	273	8	error	error	NOUN
ajst-10997	273	9	when	when	SCONJ
ajst-10997	273	10	timestep	timestep	NOUN
ajst-10997	273	11	is	be	AUX
ajst-10997	273	12	5	5	NUM
ajst-10997	273	13	and	and	CCONJ
ajst-10997	273	14	timestep	timestep	NOUN
ajst-10997	273	15	is	be	AUX
ajst-10997	273	16	10	10	NUM
ajst-10997	273	17	.	.	PUNCT
ajst-10997	274	1	according	accord	VERB
ajst-10997	274	2	to	to	ADP
ajst-10997	274	3	occam	occam	PROPN
ajst-10997	274	4	's	's	PART
ajst-10997	274	5	razor	razor	NOUN
ajst-10997	274	6	principle	principle	NOUN
ajst-10997	274	7	,	,	PUNCT
ajst-10997	274	8	timestep	timestep	NOUN
ajst-10997	274	9	5	5	NUM
ajst-10997	274	10	is	be	AUX
ajst-10997	274	11	selected	select	VERB
ajst-10997	274	12	in	in	ADP
ajst-10997	274	13	this	this	DET
ajst-10997	274	14	paper	paper	NOUN
ajst-10997	274	15	.	.	PUNCT
ajst-10997	275	1	more	more	ADV
ajst-10997	275	2	importantly	importantly	ADV
ajst-10997	275	3	,	,	PUNCT
ajst-10997	275	4	it	it	PRON
ajst-10997	275	5	is	be	AUX
ajst-10997	275	6	found	find	VERB
ajst-10997	275	7	in	in	ADP
ajst-10997	275	8	the	the	DET
ajst-10997	275	9	training	training	NOUN
ajst-10997	275	10	process	process	NOUN
ajst-10997	275	11	that	that	SCONJ
ajst-10997	275	12	when	when	SCONJ
ajst-10997	275	13	timestep	timestep	NOUN
ajst-10997	275	14	7	7	NUM
ajst-10997	275	15	and	and	CCONJ
ajst-10997	275	16	timestep	timestep	NOUN
ajst-10997	275	17	10	10	NUM
ajst-10997	275	18	,	,	PUNCT
ajst-10997	275	19	the	the	DET
ajst-10997	275	20	training	training	NOUN
ajst-10997	275	21	time	time	NOUN
ajst-10997	275	22	increases	increase	VERB
ajst-10997	275	23	exponentially	exponentially	ADV
ajst-10997	275	24	.	.	PUNCT
ajst-10997	276	1	this	this	PRON
ajst-10997	276	2	increases	increase	VERB
ajst-10997	276	3	the	the	DET
ajst-10997	276	4	training	training	NOUN
ajst-10997	276	5	time	time	NOUN
ajst-10997	276	6	and	and	CCONJ
ajst-10997	276	7	training	training	NOUN
ajst-10997	276	8	cost	cost	NOUN
ajst-10997	276	9	and	and	CCONJ
ajst-10997	276	10	does	do	AUX
ajst-10997	276	11	not	not	PART
ajst-10997	276	12	lead	lead	VERB
ajst-10997	276	13	to	to	ADP
ajst-10997	276	14	more	more	ADV
ajst-10997	276	15	efficient	efficient	ADJ
ajst-10997	276	16	results	result	NOUN
ajst-10997	276	17	.	.	PUNCT
ajst-10997	277	1	therefore	therefore	ADV
ajst-10997	277	2	,	,	PUNCT
ajst-10997	277	3	5	5	NUM
ajst-10997	277	4	is	be	AUX
ajst-10997	277	5	used	use	VERB
ajst-10997	277	6	in	in	ADP
ajst-10997	277	7	the	the	DET
ajst-10997	277	8	selection	selection	NOUN
ajst-10997	277	9	of	of	ADP
ajst-10997	277	10	timestep	timestep	NOUN
ajst-10997	277	11	in	in	ADP
ajst-10997	277	12	this	this	DET
ajst-10997	277	13	paper	paper	NOUN
ajst-10997	277	14	.	.	PUNCT
ajst-10997	278	1	batchsize	batchsize	NOUN
ajst-10997	278	2	is	be	AUX
ajst-10997	278	3	also	also	ADV
ajst-10997	278	4	one	one	NUM
ajst-10997	278	5	of	of	ADP
ajst-10997	278	6	the	the	DET
ajst-10997	278	7	hyperparameter	hyperparameter	NOUN
ajst-10997	278	8	metrics	metric	NOUN
ajst-10997	278	9	that	that	PRON
ajst-10997	278	10	affect	affect	VERB
ajst-10997	278	11	the	the	DET
ajst-10997	278	12	convergence	convergence	NOUN
ajst-10997	278	13	of	of	ADP
ajst-10997	278	14	the	the	DET
ajst-10997	278	15	data	datum	NOUN
ajst-10997	278	16	.	.	PUNCT
ajst-10997	279	1	figure	figure	NOUN
ajst-10997	279	2	8	8	NUM
ajst-10997	279	3	represents	represent	VERB
ajst-10997	279	4	the	the	DET
ajst-10997	279	5	training	training	NOUN
ajst-10997	279	6	error	error	NOUN
ajst-10997	279	7	for	for	ADP
ajst-10997	279	8	different	different	ADJ
ajst-10997	279	9	batchsize	batchsize	NOUN
ajst-10997	279	10	states	state	NOUN
ajst-10997	279	11	.	.	PUNCT
ajst-10997	280	1	this	this	DET
ajst-10997	280	2	paper	paper	NOUN
ajst-10997	280	3	compares	compare	VERB
ajst-10997	280	4	five	five	NUM
ajst-10997	280	5	groups	group	NOUN
ajst-10997	280	6	of	of	ADP
ajst-10997	280	7	data	datum	NOUN
ajst-10997	280	8	from	from	ADP
ajst-10997	280	9	batchsize	batchsize	NOUN
ajst-10997	280	10	4	4	NUM
ajst-10997	280	11	,	,	PUNCT
ajst-10997	280	12	batchsize	batchsize	VERB
ajst-10997	280	13	8	8	NUM
ajst-10997	280	14	,	,	PUNCT
ajst-10997	280	15	batchsize	batchsize	VERB
ajst-10997	280	16	16	16	NUM
ajst-10997	280	17	,	,	PUNCT
ajst-10997	280	18	batchsize	batchsize	VERB
ajst-10997	280	19	32	32	NUM
ajst-10997	280	20	and	and	CCONJ
ajst-10997	280	21	batchsize	batchsize	VERB
ajst-10997	280	22	64	64	NUM
ajst-10997	280	23	.	.	PUNCT
ajst-10997	281	1	pass	pass	VERB
ajst-10997	281	2	the	the	DET
ajst-10997	281	3	test	test	NOUN
ajst-10997	281	4	when	when	SCONJ
ajst-10997	281	5	the	the	DET
ajst-10997	281	6	timestep	timestep	NOUN
ajst-10997	281	7	of	of	ADP
ajst-10997	281	8	the	the	DET
ajst-10997	281	9	previous	previous	ADJ
ajst-10997	281	10	test	test	NOUN
ajst-10997	281	11	is	be	AUX
ajst-10997	281	12	5	5	NUM
ajst-10997	281	13	.	.	PUNCT
ajst-10997	282	1	it	it	PRON
ajst-10997	282	2	can	can	AUX
ajst-10997	282	3	be	be	AUX
ajst-10997	282	4	seen	see	VERB
ajst-10997	282	5	from	from	ADP
ajst-10997	282	6	the	the	DET
ajst-10997	282	7	figure	figure	NOUN
ajst-10997	282	8	that	that	SCONJ
ajst-10997	282	9	as	as	ADP
ajst-10997	282	10	the	the	DET
ajst-10997	282	11	number	number	NOUN
ajst-10997	282	12	of	of	ADP
ajst-10997	282	13	epochs	epoch	NOUN
ajst-10997	282	14	increases	increase	NOUN
ajst-10997	282	15	,	,	PUNCT
ajst-10997	282	16	they	they	PRON
ajst-10997	282	17	all	all	PRON
ajst-10997	282	18	eventually	eventually	ADV
ajst-10997	282	19	tend	tend	VERB
ajst-10997	282	20	to	to	PART
ajst-10997	282	21	converge	converge	VERB
ajst-10997	282	22	,	,	PUNCT
ajst-10997	282	23	and	and	CCONJ
ajst-10997	282	24	there	there	PRON
ajst-10997	282	25	is	be	VERB
ajst-10997	282	26	little	little	ADJ
ajst-10997	282	27	difference	difference	NOUN
ajst-10997	282	28	between	between	ADP
ajst-10997	282	29	the	the	DET
ajst-10997	282	30	training	training	NOUN
ajst-10997	282	31	errors	error	NOUN
ajst-10997	282	32	of	of	ADP
ajst-10997	282	33	the	the	DET
ajst-10997	282	34	five	five	NUM
ajst-10997	282	35	groups	group	NOUN
ajst-10997	282	36	of	of	ADP
ajst-10997	282	37	data	datum	NOUN
ajst-10997	282	38	when	when	SCONJ
ajst-10997	282	39	epoch	epoch	PROPN
ajst-10997	282	40	is	be	AUX
ajst-10997	282	41	50	50	NUM
ajst-10997	282	42	.	.	PUNCT
ajst-10997	283	1	therefore	therefore	ADV
ajst-10997	283	2	,	,	PUNCT
ajst-10997	283	3	batchsize	batchsize	NOUN
ajst-10997	283	4	has	have	VERB
ajst-10997	283	5	little	little	ADJ
ajst-10997	283	6	effect	effect	NOUN
ajst-10997	283	7	on	on	ADP
ajst-10997	283	8	the	the	DET
ajst-10997	283	9	training	training	NOUN
ajst-10997	283	10	error	error	NOUN
ajst-10997	283	11	from	from	ADP
ajst-10997	283	12	the	the	DET
ajst-10997	283	13	convergence	convergence	NOUN
ajst-10997	283	14	point	point	NOUN
ajst-10997	283	15	of	of	ADP
ajst-10997	283	16	view	view	NOUN
ajst-10997	283	17	.	.	PUNCT
ajst-10997	284	1	however	however	ADV
ajst-10997	284	2	,	,	PUNCT
ajst-10997	284	3	in	in	ADP
ajst-10997	284	4	terms	term	NOUN
ajst-10997	284	5	of	of	ADP
ajst-10997	284	6	the	the	DET
ajst-10997	284	7	fast	fast	ADJ
ajst-10997	284	8	and	and	CCONJ
ajst-10997	284	9	slow	slow	ADJ
ajst-10997	284	10	rate	rate	NOUN
ajst-10997	284	11	of	of	ADP
ajst-10997	284	12	convergence	convergence	NOUN
ajst-10997	284	13	,	,	PUNCT
ajst-10997	284	14	it	it	PRON
ajst-10997	284	15	is	be	AUX
ajst-10997	284	16	obvious	obvious	ADJ
ajst-10997	284	17	that	that	SCONJ
ajst-10997	284	18	the	the	DET
ajst-10997	284	19	convergence	convergence	NOUN
ajst-10997	284	20	rate	rate	NOUN
ajst-10997	284	21	of	of	ADP
ajst-10997	284	22	batchsizesize	batchsizesize	NOUN
ajst-10997	284	23	4	4	NUM
ajst-10997	284	24	is	be	AUX
ajst-10997	284	25	larger	large	ADJ
ajst-10997	284	26	than	than	ADP
ajst-10997	284	27	that	that	PRON
ajst-10997	284	28	of	of	ADP
ajst-10997	284	29	batchsize	batchsize	NOUN
ajst-10997	284	30	8	8	NUM
ajst-10997	284	31	.	.	PUNCT
ajst-10997	285	1	the	the	DET
ajst-10997	285	2	convergence	convergence	NOUN
ajst-10997	285	3	rate	rate	NOUN
ajst-10997	285	4	with	with	ADP
ajst-10997	285	5	batchsize	batchsize	NOUN
ajst-10997	285	6	8	8	NUM
ajst-10997	285	7	is	be	AUX
ajst-10997	285	8	greater	great	ADJ
ajst-10997	285	9	than	than	ADP
ajst-10997	285	10	the	the	DET
ajst-10997	285	11	convergence	convergence	NOUN
ajst-10997	285	12	rate	rate	NOUN
ajst-10997	285	13	with	with	ADP
ajst-10997	285	14	batchsize	batchsize	NOUN
ajst-10997	285	15	16	16	NUM
ajst-10997	285	16	,	,	PUNCT
ajst-10997	285	17	and	and	CCONJ
ajst-10997	285	18	so	so	ADV
ajst-10997	285	19	on	on	ADV
ajst-10997	285	20	.	.	PUNCT
ajst-10997	286	1	in	in	ADP
ajst-10997	286	2	terms	term	NOUN
ajst-10997	286	3	of	of	ADP
ajst-10997	286	4	the	the	DET
ajst-10997	286	5	fast	fast	ADJ
ajst-10997	286	6	and	and	CCONJ
ajst-10997	286	7	slow	slow	ADJ
ajst-10997	286	8	convergence	convergence	NOUN
ajst-10997	286	9	rate	rate	NOUN
ajst-10997	286	10	,	,	PUNCT
ajst-10997	286	11	the	the	DET
ajst-10997	286	12	smaller	small	ADJ
ajst-10997	286	13	batchsize	batchsize	NOUN
ajst-10997	286	14	is	be	AUX
ajst-10997	286	15	,	,	PUNCT
ajst-10997	286	16	the	the	PRON
ajst-10997	286	17	faster	fast	ADV
ajst-10997	286	18	the	the	DET
ajst-10997	286	19	convergence	convergence	NOUN
ajst-10997	286	20	rate	rate	NOUN
ajst-10997	286	21	is	be	AUX
ajst-10997	286	22	.	.	PUNCT
ajst-10997	287	1	the	the	PRON
ajst-10997	287	2	larger	large	ADJ
ajst-10997	287	3	the	the	DET
ajst-10997	287	4	batchsize	batchsize	NOUN
ajst-10997	287	5	,	,	PUNCT
ajst-10997	287	6	the	the	PRON
ajst-10997	287	7	slower	slow	ADJ
ajst-10997	287	8	the	the	DET
ajst-10997	287	9	convergence	convergence	NOUN
ajst-10997	287	10	.	.	PUNCT
ajst-10997	288	1	the	the	DET
ajst-10997	288	2	reason	reason	NOUN
ajst-10997	288	3	for	for	ADP
ajst-10997	288	4	this	this	PRON
ajst-10997	288	5	is	be	AUX
ajst-10997	288	6	because	because	SCONJ
ajst-10997	288	7	the	the	DET
ajst-10997	288	8	number	number	NOUN
ajst-10997	288	9	of	of	ADP
ajst-10997	288	10	iterations	iteration	NOUN
ajst-10997	288	11	is	be	AUX
ajst-10997	288	12	different	different	ADJ
ajst-10997	288	13	.	.	PUNCT
ajst-10997	289	1	when	when	SCONJ
ajst-10997	289	2	the	the	DET
ajst-10997	289	3	total	total	ADJ
ajst-10997	289	4	amount	amount	NOUN
ajst-10997	289	5	of	of	ADP
ajst-10997	289	6	data	datum	NOUN
ajst-10997	289	7	is	be	AUX
ajst-10997	289	8	constant	constant	ADJ
ajst-10997	289	9	,	,	PUNCT
ajst-10997	289	10	the	the	DET
ajst-10997	289	11	smaller	small	ADJ
ajst-10997	289	12	batchsize	batchsize	NOUN
ajst-10997	289	13	is	be	AUX
ajst-10997	289	14	,	,	PUNCT
ajst-10997	289	15	the	the	DET
ajst-10997	289	16	more	more	ADJ
ajst-10997	289	17	iterations	iteration	NOUN
ajst-10997	289	18	are	be	AUX
ajst-10997	289	19	needed	need	VERB
ajst-10997	289	20	in	in	ADP
ajst-10997	289	21	an	an	DET
ajst-10997	289	22	epoch	epoch	NOUN
ajst-10997	289	23	loop	loop	NOUN
ajst-10997	289	24	.	.	PUNCT
ajst-10997	290	1	conversely	conversely	ADV
ajst-10997	290	2	,	,	PUNCT
ajst-10997	290	3	the	the	DET
ajst-10997	290	4	larger	large	ADJ
ajst-10997	290	5	batchsize	batchsize	NOUN
ajst-10997	290	6	,	,	PUNCT
ajst-10997	290	7	the	the	PRON
ajst-10997	290	8	smaller	small	ADJ
ajst-10997	290	9	the	the	DET
ajst-10997	290	10	number	number	NOUN
ajst-10997	290	11	of	of	ADP
ajst-10997	290	12	iterations	iteration	NOUN
ajst-10997	290	13	within	within	ADP
ajst-10997	290	14	an	an	DET
ajst-10997	290	15	epoch	epoch	NOUN
ajst-10997	290	16	loop	loop	NOUN
ajst-10997	290	17	.	.	PUNCT
ajst-10997	291	1	the	the	DET
ajst-10997	291	2	more	more	ADJ
ajst-10997	291	3	iterations	iteration	NOUN
ajst-10997	291	4	,	,	PUNCT
ajst-10997	291	5	the	the	DET
ajst-10997	291	6	more	more	ADJ
ajst-10997	291	7	times	time	NOUN
ajst-10997	291	8	the	the	DET
ajst-10997	291	9	gradient	gradient	NOUN
ajst-10997	291	10	is	be	AUX
ajst-10997	291	11	updated	update	VERB
ajst-10997	291	12	,	,	PUNCT
ajst-10997	291	13	which	which	PRON
ajst-10997	291	14	can	can	AUX
ajst-10997	291	15	better	well	ADV
ajst-10997	291	16	approximate	approximate	VERB
ajst-10997	291	17	the	the	DET
ajst-10997	291	18	convex	convex	NOUN
ajst-10997	291	19	function	function	NOUN
ajst-10997	291	20	in	in	ADP
ajst-10997	291	21	the	the	DET
ajst-10997	291	22	direction	direction	NOUN
ajst-10997	291	23	of	of	ADP
ajst-10997	291	24	the	the	DET
ajst-10997	291	25	extreme	extreme	ADJ
ajst-10997	291	26	value	value	NOUN
ajst-10997	291	27	.	.	PUNCT
ajst-10997	292	1	however	however	ADV
ajst-10997	292	2	,	,	PUNCT
ajst-10997	292	3	with	with	ADP
ajst-10997	292	4	fewer	few	ADJ
ajst-10997	292	5	iterations	iteration	NOUN
ajst-10997	292	6	,	,	PUNCT
ajst-10997	292	7	the	the	DET
ajst-10997	292	8	gradient	gradient	NOUN
ajst-10997	292	9	update	update	NOUN
ajst-10997	292	10	is	be	AUX
ajst-10997	292	11	slower	slow	ADJ
ajst-10997	292	12	,	,	PUNCT
ajst-10997	292	13	and	and	CCONJ
ajst-10997	292	14	the	the	DET
ajst-10997	292	15	correction	correction	NOUN
ajst-10997	292	16	towards	towards	ADP
ajst-10997	292	17	the	the	DET
ajst-10997	292	18	extreme	extreme	ADJ
ajst-10997	292	19	value	value	NOUN
ajst-10997	292	20	of	of	ADP
ajst-10997	292	21	the	the	DET
ajst-10997	292	22	convex	convex	NOUN
ajst-10997	292	23	function	function	NOUN
ajst-10997	292	24	will	will	AUX
ajst-10997	292	25	be	be	AUX
ajst-10997	292	26	slower	slow	ADJ
ajst-10997	292	27	.	.	PUNCT
ajst-10997	293	1	however	however	ADV
ajst-10997	293	2	,	,	PUNCT
ajst-10997	293	3	the	the	DET
ajst-10997	293	4	gradient	gradient	ADJ
ajst-10997	293	5	descent	descent	NOUN
ajst-10997	293	6	algorithm	algorithm	NOUN
ajst-10997	293	7	ensures	ensure	VERB
ajst-10997	293	8	that	that	SCONJ
ajst-10997	293	9	the	the	DET
ajst-10997	293	10	approximation	approximation	NOUN
ajst-10997	293	11	tends	tend	VERB
ajst-10997	293	12	to	to	PART
ajst-10997	293	13	be	be	AUX
ajst-10997	293	14	in	in	ADP
ajst-10997	293	15	the	the	DET
ajst-10997	293	16	direction	direction	NOUN
ajst-10997	293	17	of	of	ADP
ajst-10997	293	18	the	the	DET
ajst-10997	293	19	minimum	minimum	NOUN
ajst-10997	293	20	of	of	ADP
ajst-10997	293	21	the	the	DET
ajst-10997	293	22	convex	convex	NOUN
ajst-10997	293	23	function	function	NOUN
ajst-10997	293	24	.	.	PUNCT
ajst-10997	294	1	therefore	therefore	ADV
ajst-10997	294	2	,	,	PUNCT
ajst-10997	294	3	when	when	SCONJ
ajst-10997	294	4	the	the	DET
ajst-10997	294	5	number	number	NOUN
ajst-10997	294	6	of	of	ADP
ajst-10997	294	7	epochs	epoch	NOUN
ajst-10997	294	8	is	be	AUX
ajst-10997	294	9	large	large	ADJ
ajst-10997	294	10	,	,	PUNCT
ajst-10997	294	11	the	the	DET
ajst-10997	294	12	difference	difference	NOUN
ajst-10997	294	13	between	between	ADP
ajst-10997	294	14	the	the	DET
ajst-10997	294	15	two	two	NUM
ajst-10997	294	16	is	be	AUX
ajst-10997	294	17	not	not	PART
ajst-10997	294	18	obvious	obvious	ADJ
ajst-10997	294	19	.	.	PUNCT
ajst-10997	295	1	when	when	SCONJ
ajst-10997	295	2	the	the	DET
ajst-10997	295	3	number	number	NOUN
ajst-10997	295	4	of	of	ADP
ajst-10997	295	5	epochs	epoch	NOUN
ajst-10997	295	6	is	be	AUX
ajst-10997	295	7	small	small	ADJ
ajst-10997	295	8	,	,	PUNCT
ajst-10997	295	9	the	the	DET
ajst-10997	295	10	value	value	NOUN
ajst-10997	295	11	of	of	ADP
ajst-10997	295	12	batchsize	batchsize	NOUN
ajst-10997	295	13	is	be	AUX
ajst-10997	295	14	appropriate	appropriate	ADJ
ajst-10997	295	15	.	.	PUNCT
ajst-10997	296	1	in	in	ADP
ajst-10997	296	2	order	order	NOUN
ajst-10997	296	3	to	to	PART
ajst-10997	296	4	save	save	VERB
ajst-10997	296	5	resources	resource	NOUN
ajst-10997	296	6	and	and	CCONJ
ajst-10997	296	7	time	time	NOUN
ajst-10997	296	8	,	,	PUNCT
ajst-10997	296	9	under	under	ADP
ajst-10997	296	10	the	the	DET
ajst-10997	296	11	same	same	ADJ
ajst-10997	296	12	condition	condition	NOUN
ajst-10997	296	13	,	,	PUNCT
ajst-10997	296	14	selecting	select	VERB
ajst-10997	296	15	a	a	DET
ajst-10997	296	16	smaller	small	ADJ
ajst-10997	296	17	batchsize	batchsize	NOUN
ajst-10997	296	18	can	can	AUX
ajst-10997	296	19	accelerate	accelerate	VERB
ajst-10997	296	20	the	the	DET
ajst-10997	296	21	convergence	convergence	NOUN
ajst-10997	296	22	.	.	PUNCT
ajst-10997	297	1	figure	figure	NOUN
ajst-10997	297	2	8	8	NUM
ajst-10997	297	3	.	.	PUNCT
ajst-10997	298	1	training	training	NOUN
ajst-10997	298	2	error	error	NOUN
ajst-10997	298	3	in	in	ADP
ajst-10997	298	4	different	different	ADJ
ajst-10997	298	5	batchsize	batchsize	NOUN
ajst-10997	298	6	states	state	NOUN
ajst-10997	298	7	training	training	NOUN
ajst-10997	298	8	error	error	NOUN
ajst-10997	298	9	can	can	AUX
ajst-10997	298	10	only	only	ADV
ajst-10997	298	11	be	be	AUX
ajst-10997	298	12	used	use	VERB
ajst-10997	298	13	to	to	PART
ajst-10997	298	14	measure	measure	VERB
ajst-10997	298	15	convergence	convergence	NOUN
ajst-10997	298	16	and	and	CCONJ
ajst-10997	298	17	convergence	convergence	NOUN
ajst-10997	298	18	speed	speed	NOUN
ajst-10997	298	19	.	.	PUNCT
ajst-10997	299	1	figure	figure	NOUN
ajst-10997	299	2	9	9	NUM
ajst-10997	299	3	represents	represent	VERB
ajst-10997	299	4	the	the	DET
ajst-10997	299	5	training	training	NOUN
ajst-10997	299	6	error	error	NOUN
ajst-10997	299	7	for	for	ADP
ajst-10997	299	8	different	different	ADJ
ajst-10997	299	9	batchsize	batchsize	NOUN
ajst-10997	299	10	states	state	NOUN
ajst-10997	299	11	.	.	PUNCT
ajst-10997	300	1	what	what	PRON
ajst-10997	300	2	really	really	ADV
ajst-10997	300	3	allows	allow	VERB
ajst-10997	300	4	the	the	DET
ajst-10997	300	5	model	model	NOUN
ajst-10997	300	6	algorithm	algorithm	NOUN
ajst-10997	300	7	to	to	PART
ajst-10997	300	8	be	be	AUX
ajst-10997	300	9	applied	apply	VERB
ajst-10997	300	10	to	to	ADP
ajst-10997	300	11	engineering	engineering	NOUN
ajst-10997	300	12	practice	practice	NOUN
ajst-10997	300	13	is	be	AUX
ajst-10997	300	14	testing	test	VERB
ajst-10997	300	15	error	error	NOUN
ajst-10997	300	16	.	.	PUNCT
ajst-10997	301	1	the	the	DET
ajst-10997	301	2	test	test	NOUN
ajst-10997	301	3	error	error	NOUN
ajst-10997	301	4	can	can	AUX
ajst-10997	301	5	better	well	ADV
ajst-10997	301	6	express	express	VERB
ajst-10997	301	7	the	the	DET
ajst-10997	301	8	generalization	generalization	NOUN
ajst-10997	301	9	performance	performance	NOUN
ajst-10997	301	10	of	of	ADP
ajst-10997	301	11	the	the	DET
ajst-10997	301	12	algorithm	algorithm	NOUN
ajst-10997	301	13	.	.	PUNCT
ajst-10997	302	1	when	when	SCONJ
ajst-10997	302	2	facing	face	VERB
ajst-10997	302	3	unknown	unknown	ADJ
ajst-10997	302	4	data	datum	NOUN
ajst-10997	302	5	,	,	PUNCT
ajst-10997	302	6	the	the	DET
ajst-10997	302	7	test	test	NOUN
ajst-10997	302	8	error	error	NOUN
ajst-10997	302	9	shows	show	VERB
ajst-10997	302	10	the	the	DET
ajst-10997	302	11	accuracy	accuracy	NOUN
ajst-10997	302	12	and	and	CCONJ
ajst-10997	302	13	robustness	robustness	NOUN
ajst-10997	302	14	of	of	ADP
ajst-10997	302	15	the	the	DET
ajst-10997	302	16	algorithm	algorithm	NOUN
ajst-10997	302	17	.	.	PUNCT
ajst-10997	303	1	the	the	DET
ajst-10997	303	2	comparison	comparison	NOUN
ajst-10997	303	3	of	of	ADP
ajst-10997	303	4	the	the	DET
ajst-10997	303	5	test	test	NOUN
ajst-10997	303	6	errors	error	NOUN
ajst-10997	303	7	in	in	ADP
ajst-10997	303	8	different	different	ADJ
ajst-10997	303	9	batchsize	batchsize	NOUN
ajst-10997	303	10	states	state	NOUN
ajst-10997	303	11	is	be	AUX
ajst-10997	303	12	shown	show	VERB
ajst-10997	303	13	in	in	ADP
ajst-10997	303	14	figure	figure	NOUN
ajst-10997	303	15	8	8	NUM
ajst-10997	303	16	.	.	PUNCT
ajst-10997	304	1	according	accord	VERB
ajst-10997	304	2	to	to	ADP
ajst-10997	304	3	the	the	DET
ajst-10997	304	4	test	test	NOUN
ajst-10997	304	5	error	error	NOUN
ajst-10997	304	6	when	when	SCONJ
ajst-10997	304	7	the	the	DET
ajst-10997	304	8	last	last	ADJ
ajst-10997	304	9	epoch	epoch	NOUN
ajst-10997	304	10	is	be	AUX
ajst-10997	304	11	50	50	NUM
ajst-10997	304	12	,	,	PUNCT
ajst-10997	304	13	for	for	ADP
ajst-10997	304	14	batchsize	batchsize	NOUN
ajst-10997	304	15	,	,	PUNCT
ajst-10997	304	16	no	no	DET
ajst-10997	304	17	clear	clear	ADV
ajst-10997	304	18	-	-	PUNCT
ajst-10997	304	19	cut	cut	VERB
ajst-10997	304	20	rule	rule	NOUN
ajst-10997	304	21	says	say	VERB
ajst-10997	304	22	bigger	big	ADJ
ajst-10997	304	23	is	be	AUX
ajst-10997	304	24	better	well	ADJ
ajst-10997	304	25	or	or	CCONJ
ajst-10997	304	26	smaller	small	ADJ
ajst-10997	304	27	is	be	AUX
ajst-10997	304	28	better	well	ADJ
ajst-10997	304	29	.	.	PUNCT
ajst-10997	305	1	when	when	SCONJ
ajst-10997	305	2	batchsize	batchsize	NOUN
ajst-10997	305	3	is	be	AUX
ajst-10997	305	4	too	too	ADV
ajst-10997	305	5	small	small	ADJ
ajst-10997	305	6	,	,	PUNCT
ajst-10997	305	7	the	the	DET
ajst-10997	305	8	test	test	NOUN
ajst-10997	305	9	error	error	NOUN
ajst-10997	305	10	at	at	ADP
ajst-10997	305	11	the	the	DET
ajst-10997	305	12	beginning	beginning	NOUN
ajst-10997	305	13	of	of	ADP
ajst-10997	305	14	the	the	DET
ajst-10997	305	15	epoch	epoch	NOUN
ajst-10997	305	16	is	be	AUX
ajst-10997	305	17	the	the	DET
ajst-10997	305	18	largest	large	ADJ
ajst-10997	305	19	,	,	PUNCT
ajst-10997	305	20	which	which	PRON
ajst-10997	305	21	indicates	indicate	VERB
ajst-10997	305	22	that	that	SCONJ
ajst-10997	305	23	the	the	DET
ajst-10997	305	24	batchsize	batchsize	NOUN
ajst-10997	305	25	is	be	AUX
ajst-10997	305	26	too	too	ADV
ajst-10997	305	27	small	small	ADJ
ajst-10997	305	28	,	,	PUNCT
ajst-10997	305	29	and	and	CCONJ
ajst-10997	305	30	the	the	DET
ajst-10997	305	31	model	model	NOUN
ajst-10997	305	32	algorithm	algorithm	NOUN
ajst-10997	305	33	is	be	AUX
ajst-10997	305	34	easy	easy	ADJ
ajst-10997	305	35	to	to	PART
ajst-10997	305	36	enter	enter	VERB
ajst-10997	305	37	the	the	DET
ajst-10997	305	38	local	local	ADJ
ajst-10997	305	39	minimum	minimum	NOUN
ajst-10997	305	40	value	value	NOUN
ajst-10997	305	41	,	,	PUNCT
ajst-10997	305	42	which	which	PRON
ajst-10997	305	43	will	will	AUX
ajst-10997	305	44	lead	lead	VERB
ajst-10997	305	45	to	to	ADP
ajst-10997	305	46	falling	fall	VERB
ajst-10997	305	47	into	into	ADP
ajst-10997	305	48	the	the	DET
ajst-10997	305	49	local	local	ADJ
ajst-10997	305	50	minimum	minimum	NOUN
ajst-10997	305	51	value	value	NOUN
ajst-10997	305	52	and	and	CCONJ
ajst-10997	305	53	the	the	DET
ajst-10997	305	54	error	error	NOUN
ajst-10997	305	55	jumps	jump	VERB
ajst-10997	305	56	out	out	ADP
ajst-10997	305	57	.	.	PUNCT
ajst-10997	306	1	the	the	DET
ajst-10997	306	2	true	true	ADJ
ajst-10997	306	3	minimum	minimum	NOUN
ajst-10997	306	4	point	point	NOUN
ajst-10997	306	5	is	be	AUX
ajst-10997	306	6	not	not	PART
ajst-10997	306	7	reached	reach	VERB
ajst-10997	306	8	.	.	PUNCT
ajst-10997	307	1	when	when	SCONJ
ajst-10997	307	2	batchsize	batchsize	NOUN
ajst-10997	307	3	is	be	AUX
ajst-10997	307	4	too	too	ADV
ajst-10997	307	5	large	large	ADJ
ajst-10997	307	6	,	,	PUNCT
ajst-10997	307	7	it	it	PRON
ajst-10997	307	8	may	may	AUX
ajst-10997	307	9	cross	cross	VERB
ajst-10997	307	10	the	the	DET
ajst-10997	307	11	region	region	NOUN
ajst-10997	307	12	of	of	ADP
ajst-10997	307	13	the	the	DET
ajst-10997	307	14	minimum	minimum	ADJ
ajst-10997	307	15	point	point	NOUN
ajst-10997	307	16	and	and	CCONJ
ajst-10997	307	17	enter	enter	VERB
ajst-10997	307	18	another	another	DET
ajst-10997	307	19	local	local	ADJ
ajst-10997	307	20	minimum	minimum	NOUN
ajst-10997	307	21	point	point	NOUN
ajst-10997	307	22	.	.	PUNCT
ajst-10997	308	1	2	2	NUM
ajst-10997	308	2	3	3	NUM
ajst-10997	308	3	4	4	NUM
ajst-10997	308	4	5	5	NUM
ajst-10997	308	5	6	6	NUM
ajst-10997	308	6	7	7	NUM
ajst-10997	308	7	8	8	NUM
ajst-10997	308	8	9	9	NUM
ajst-10997	308	9	10	10	NUM
ajst-10997	308	10	11	11	NUM
ajst-10997	308	11	0.00	0.00	NUM
ajst-10997	308	12	0.02	0.02	NUM
ajst-10997	308	13	0.04	0.04	NUM
ajst-10997	308	14	0.06	0.06	NUM
ajst-10997	308	15	0.08	0.08	NUM
ajst-10997	308	16	0.10	0.10	NUM
ajst-10997	308	17	0.12	0.12	NUM
ajst-10997	308	18	0.14	0.14	NUM
ajst-10997	308	19	0.16	0.16	NUM
ajst-10997	308	20	testerror	testerror	NOUN
ajst-10997	308	21	t	t	PROPN
ajst-10997	308	22	i	i	PRON
ajst-10997	308	23	m	m	VERB
ajst-10997	308	24	e	e	NOUN
ajst-10997	308	25	s	s	PROPN
ajst-10997	308	26	t	t	NOUN
ajst-10997	308	27	e	e	NOUN
ajst-10997	308	28	p	p	PROPN
ajst-10997	308	29	0	0	NUM
ajst-10997	308	30	10	10	NUM
ajst-10997	308	31	20	20	NUM
ajst-10997	308	32	30	30	NUM
ajst-10997	308	33	40	40	NUM
ajst-10997	308	34	50	50	NUM
ajst-10997	308	35	0.00	0.00	NUM
ajst-10997	308	36	0.05	0.05	NUM
ajst-10997	308	37	0.10	0.10	NUM
ajst-10997	308	38	0.15	0.15	NUM
ajst-10997	308	39	0.20	0.20	NUM
ajst-10997	308	40	0.25	0.25	NUM
ajst-10997	308	41	0.30	0.30	NUM
ajst-10997	308	42	0.35	0.35	NUM
ajst-10997	308	43	0.40	0.40	NUM
ajst-10997	308	44	t	t	NOUN
ajst-10997	308	45	r	r	NOUN
ajst-10997	308	46	a	a	PRON
ajst-10997	308	47	in	in	ADP
ajst-10997	308	48	e	e	NOUN
ajst-10997	308	49	r	r	NOUN
ajst-10997	308	50	r	r	NOUN
ajst-10997	308	51	o	o	NOUN
ajst-10997	308	52	r	r	NOUN
ajst-10997	308	53	epoch	epoch	NOUN
ajst-10997	308	54	batchsize	batchsize	VERB
ajst-10997	308	55	=	=	SYM
ajst-10997	308	56	4	4	NUM
ajst-10997	308	57	batchsize	batchsize	VERB
ajst-10997	308	58	=	=	SYM
ajst-10997	308	59	8	8	NUM
ajst-10997	308	60	batchsize	batchsize	VERB
ajst-10997	308	61	=	=	X
ajst-10997	308	62	16	16	NUM
ajst-10997	308	63	batchsize	batchsize	VERB
ajst-10997	308	64	=	=	SYM
ajst-10997	308	65	32	32	NUM
ajst-10997	308	66	batchsize	batchsize	VERB
ajst-10997	308	67	=	=	PROPN
ajst-10997	308	68	64	64	NUM
ajst-10997	308	69	97	97	NUM
ajst-10997	308	70	and	and	CCONJ
ajst-10997	308	71	because	because	SCONJ
ajst-10997	308	72	batchsize	batchsize	NOUN
ajst-10997	308	73	is	be	AUX
ajst-10997	308	74	too	too	ADV
ajst-10997	308	75	large	large	ADJ
ajst-10997	308	76	,	,	PUNCT
ajst-10997	308	77	it	it	PRON
ajst-10997	308	78	leads	lead	VERB
ajst-10997	308	79	to	to	ADP
ajst-10997	308	80	too	too	ADV
ajst-10997	308	81	large	large	ADJ
ajst-10997	308	82	interpolation	interpolation	NOUN
ajst-10997	308	83	in	in	ADP
ajst-10997	308	84	the	the	DET
ajst-10997	308	85	gradient	gradient	NOUN
ajst-10997	308	86	update	update	NOUN
ajst-10997	308	87	process	process	NOUN
ajst-10997	308	88	,	,	PUNCT
ajst-10997	308	89	which	which	PRON
ajst-10997	308	90	may	may	AUX
ajst-10997	308	91	bring	bring	VERB
ajst-10997	308	92	a	a	DET
ajst-10997	308	93	concussion	concussion	NOUN
ajst-10997	308	94	effect	effect	NOUN
ajst-10997	308	95	and	and	CCONJ
ajst-10997	308	96	never	never	ADV
ajst-10997	308	97	enter	enter	VERB
ajst-10997	308	98	the	the	DET
ajst-10997	308	99	minimum	minimum	ADJ
ajst-10997	308	100	area	area	NOUN
ajst-10997	308	101	.	.	PUNCT
ajst-10997	309	1	therefore	therefore	ADV
ajst-10997	309	2	,	,	PUNCT
ajst-10997	309	3	it	it	PRON
ajst-10997	309	4	can	can	AUX
ajst-10997	309	5	be	be	AUX
ajst-10997	309	6	concluded	conclude	VERB
ajst-10997	309	7	that	that	SCONJ
ajst-10997	309	8	in	in	ADP
ajst-10997	309	9	the	the	DET
ajst-10997	309	10	selection	selection	NOUN
ajst-10997	309	11	process	process	NOUN
ajst-10997	309	12	of	of	ADP
ajst-10997	309	13	bathsize	bathsize	NOUN
ajst-10997	309	14	,	,	PUNCT
ajst-10997	309	15	more	more	ADJ
ajst-10997	309	16	experiments	experiment	NOUN
ajst-10997	309	17	are	be	AUX
ajst-10997	309	18	needed	need	VERB
ajst-10997	309	19	to	to	PART
ajst-10997	309	20	select	select	VERB
ajst-10997	309	21	a	a	DET
ajst-10997	309	22	value	value	NOUN
ajst-10997	309	23	suitable	suitable	ADJ
ajst-10997	309	24	for	for	ADP
ajst-10997	309	25	the	the	DET
ajst-10997	309	26	algorithm	algorithm	NOUN
ajst-10997	309	27	.	.	PUNCT
ajst-10997	310	1	from	from	ADP
ajst-10997	310	2	the	the	DET
ajst-10997	310	3	point	point	NOUN
ajst-10997	310	4	of	of	ADP
ajst-10997	310	5	view	view	NOUN
ajst-10997	310	6	of	of	ADP
ajst-10997	310	7	this	this	DET
ajst-10997	310	8	paper	paper	NOUN
ajst-10997	310	9	,	,	PUNCT
ajst-10997	310	10	the	the	DET
ajst-10997	310	11	value	value	NOUN
ajst-10997	310	12	of	of	ADP
ajst-10997	310	13	batchsize	batchsize	NOUN
ajst-10997	310	14	of	of	ADP
ajst-10997	310	15	16	16	NUM
ajst-10997	310	16	is	be	AUX
ajst-10997	310	17	selected	select	VERB
ajst-10997	310	18	for	for	ADP
ajst-10997	310	19	the	the	DET
ajst-10997	310	20	algorithm	algorithm	NOUN
ajst-10997	310	21	model	model	NOUN
ajst-10997	310	22	in	in	ADP
ajst-10997	310	23	this	this	DET
ajst-10997	310	24	paper	paper	NOUN
ajst-10997	310	25	.	.	PUNCT
ajst-10997	311	1	figure	figure	NOUN
ajst-10997	311	2	9	9	NUM
ajst-10997	311	3	.	.	PUNCT
ajst-10997	311	4	training	training	NOUN
ajst-10997	311	5	error	error	NOUN
ajst-10997	311	6	in	in	ADP
ajst-10997	311	7	different	different	ADJ
ajst-10997	311	8	batchsize	batchsize	NOUN
ajst-10997	311	9	states	state	NOUN
ajst-10997	311	10	in	in	ADP
ajst-10997	311	11	this	this	DET
ajst-10997	311	12	paper	paper	NOUN
ajst-10997	311	13	,	,	PUNCT
ajst-10997	311	14	the	the	DET
ajst-10997	311	15	designed	design	VERB
ajst-10997	311	16	gru	gru	NOUN
ajst-10997	311	17	-	-	PUNCT
ajst-10997	311	18	attention	attention	NOUN
ajst-10997	311	19	network	network	NOUN
ajst-10997	311	20	is	be	AUX
ajst-10997	311	21	compared	compare	VERB
ajst-10997	311	22	with	with	ADP
ajst-10997	311	23	the	the	DET
ajst-10997	311	24	gru	gru	NOUN
ajst-10997	311	25	network	network	NOUN
ajst-10997	311	26	and	and	CCONJ
ajst-10997	311	27	the	the	DET
ajst-10997	311	28	attention	attention	NOUN
ajst-10997	311	29	network	network	NOUN
ajst-10997	311	30	in	in	ADP
ajst-10997	311	31	a	a	DET
ajst-10997	311	32	cross	cross	ADJ
ajst-10997	311	33	-	-	ADJ
ajst-10997	311	34	sectional	sectional	ADJ
ajst-10997	311	35	manner	manner	NOUN
ajst-10997	311	36	.	.	PUNCT
ajst-10997	312	1	the	the	DET
ajst-10997	312	2	table	table	NOUN
ajst-10997	312	3	2	2	NUM
ajst-10997	312	4	shows	show	VERB
ajst-10997	312	5	the	the	DET
ajst-10997	312	6	results	result	NOUN
ajst-10997	312	7	of	of	ADP
ajst-10997	312	8	the	the	DET
ajst-10997	312	9	algorithm	algorithm	NOUN
ajst-10997	312	10	comparison	comparison	NOUN
ajst-10997	312	11	.	.	PUNCT
ajst-10997	313	1	the	the	DET
ajst-10997	313	2	comparison	comparison	NOUN
ajst-10997	313	3	reveals	reveal	VERB
ajst-10997	313	4	that	that	SCONJ
ajst-10997	313	5	the	the	DET
ajst-10997	313	6	gru	gru	NOUN
ajst-10997	313	7	-	-	ADJ
ajst-10997	313	8	attention	attention	NOUN
ajst-10997	313	9	network	network	NOUN
ajst-10997	313	10	architecture	architecture	NOUN
ajst-10997	313	11	proposed	propose	VERB
ajst-10997	313	12	in	in	ADP
ajst-10997	313	13	this	this	DET
ajst-10997	313	14	paper	paper	NOUN
ajst-10997	313	15	can	can	AUX
ajst-10997	313	16	indeed	indeed	ADV
ajst-10997	313	17	better	well	ADV
ajst-10997	313	18	meet	meet	VERB
ajst-10997	313	19	the	the	DET
ajst-10997	313	20	needs	need	NOUN
ajst-10997	313	21	of	of	ADP
ajst-10997	313	22	lithium	lithium	NOUN
ajst-10997	313	23	battery	battery	NOUN
ajst-10997	313	24	soc	soc	NOUN
ajst-10997	313	25	estimation	estimation	NOUN
ajst-10997	313	26	.	.	PUNCT
ajst-10997	314	1	it	it	PRON
ajst-10997	314	2	has	have	VERB
ajst-10997	314	3	better	well	ADJ
ajst-10997	314	4	improvement	improvement	NOUN
ajst-10997	314	5	in	in	ADP
ajst-10997	314	6	accuracy	accuracy	NOUN
ajst-10997	314	7	.	.	PUNCT
ajst-10997	315	1	however	however	ADV
ajst-10997	315	2	,	,	PUNCT
ajst-10997	315	3	in	in	ADP
ajst-10997	315	4	terms	term	NOUN
ajst-10997	315	5	of	of	ADP
ajst-10997	315	6	training	training	NOUN
ajst-10997	315	7	speed	speed	NOUN
ajst-10997	315	8	,	,	PUNCT
ajst-10997	315	9	the	the	DET
ajst-10997	315	10	gru	gru	NOUN
ajst-10997	315	11	-	-	ADJ
ajst-10997	315	12	attention	attention	NOUN
ajst-10997	315	13	network	network	NOUN
ajst-10997	315	14	is	be	AUX
ajst-10997	315	15	slower	slow	ADJ
ajst-10997	315	16	than	than	ADP
ajst-10997	315	17	the	the	DET
ajst-10997	315	18	pure	pure	ADJ
ajst-10997	315	19	attention	attention	NOUN
ajst-10997	315	20	network	network	NOUN
ajst-10997	315	21	.	.	PUNCT
ajst-10997	316	1	however	however	ADV
ajst-10997	316	2	,	,	PUNCT
ajst-10997	316	3	the	the	DET
ajst-10997	316	4	gruattention	gruattention	NOUN
ajst-10997	316	5	network	network	NOUN
ajst-10997	316	6	is	be	AUX
ajst-10997	316	7	faster	fast	ADJ
ajst-10997	316	8	than	than	ADP
ajst-10997	316	9	the	the	DET
ajst-10997	316	10	pure	pure	PROPN
ajst-10997	316	11	gru	gru	NOUN
ajst-10997	316	12	network	network	NOUN
ajst-10997	316	13	.	.	PUNCT
ajst-10997	317	1	table	table	NOUN
ajst-10997	317	2	2	2	NUM
ajst-10997	317	3	.	.	PUNCT
ajst-10997	318	1	performance	performance	NOUN
ajst-10997	318	2	comparison	comparison	NOUN
ajst-10997	318	3	of	of	ADP
ajst-10997	318	4	different	different	ADJ
ajst-10997	318	5	algorithms	algorithm	NOUN
ajst-10997	318	6	.	.	PUNCT
ajst-10997	319	1	i	i	PRON
ajst-10997	319	2	d	d	PROPN
ajst-10997	319	3	algorithm	algorithm	PROPN
ajst-10997	319	4	trainerror(%	trainerror(%	NOUN
ajst-10997	319	5	)	)	PUNCT
ajst-10997	319	6	testerror(%	testerror(%	ADJ
ajst-10997	319	7	)	)	PUNCT
ajst-10997	319	8	1	1	NUM
ajst-10997	319	9	gru	gru	NOUN
ajst-10997	319	10	2.32	2.32	NUM
ajst-10997	319	11	%	%	NOUN
ajst-10997	319	12	4.81	4.81	NUM
ajst-10997	319	13	%	%	NOUN
ajst-10997	319	14	2	2	NUM
ajst-10997	319	15	attention	attention	NOUN
ajst-10997	319	16	1.96	1.96	NUM
ajst-10997	319	17	%	%	NOUN
ajst-10997	319	18	3.72	3.72	NUM
ajst-10997	319	19	%	%	NOUN
ajst-10997	319	20	3	3	NUM
ajst-10997	319	21	gru	gru	NOUN
ajst-10997	319	22	-	-	NOUN
ajst-10997	319	23	attention	attention	NOUN
ajst-10997	319	24	0.014	0.014	NUM
ajst-10997	319	25	%	%	NOUN
ajst-10997	319	26	1,3	1,3	NUM
ajst-10997	319	27	%	%	NOUN
ajst-10997	319	28	6	6	NUM
ajst-10997	319	29	.	.	PUNCT
ajst-10997	320	1	conclusion	conclusion	NOUN
ajst-10997	320	2	soc	soc	NOUN
ajst-10997	320	3	can	can	AUX
ajst-10997	320	4	not	not	PART
ajst-10997	320	5	be	be	AUX
ajst-10997	320	6	measured	measure	VERB
ajst-10997	320	7	directly	directly	ADV
ajst-10997	320	8	.	.	PUNCT
ajst-10997	321	1	the	the	DET
ajst-10997	321	2	estimation	estimation	NOUN
ajst-10997	321	3	of	of	ADP
ajst-10997	321	4	soc	soc	NOUN
ajst-10997	321	5	will	will	AUX
ajst-10997	321	6	become	become	VERB
ajst-10997	321	7	less	less	ADV
ajst-10997	321	8	accurate	accurate	ADJ
ajst-10997	321	9	as	as	ADP
ajst-10997	321	10	the	the	DET
ajst-10997	321	11	running	running	NOUN
ajst-10997	321	12	time	time	NOUN
ajst-10997	321	13	of	of	ADP
ajst-10997	321	14	the	the	DET
ajst-10997	321	15	lithium	lithium	NOUN
ajst-10997	321	16	battery	battery	NOUN
ajst-10997	321	17	increases	increase	NOUN
ajst-10997	321	18	.	.	PUNCT
ajst-10997	322	1	the	the	DET
ajst-10997	322	2	gru	gru	NOUN
ajst-10997	322	3	-	-	ADJ
ajst-10997	322	4	attention	attention	NOUN
ajst-10997	322	5	algorithm	algorithm	NOUN
ajst-10997	322	6	network	network	NOUN
ajst-10997	322	7	proposed	propose	VERB
ajst-10997	322	8	in	in	ADP
ajst-10997	322	9	this	this	DET
ajst-10997	322	10	paper	paper	NOUN
ajst-10997	322	11	can	can	AUX
ajst-10997	322	12	solve	solve	VERB
ajst-10997	322	13	these	these	DET
ajst-10997	322	14	two	two	NUM
ajst-10997	322	15	problems	problem	NOUN
ajst-10997	322	16	effectively	effectively	ADV
ajst-10997	322	17	.	.	PUNCT
ajst-10997	323	1	the	the	DET
ajst-10997	323	2	gru	gru	NOUN
ajst-10997	323	3	-	-	ADJ
ajst-10997	323	4	attention	attention	NOUN
ajst-10997	323	5	algorithm	algorithm	NOUN
ajst-10997	323	6	network	network	NOUN
ajst-10997	323	7	has	have	VERB
ajst-10997	323	8	a	a	DET
ajst-10997	323	9	stacked	stack	VERB
ajst-10997	323	10	gru	gru	NOUN
ajst-10997	323	11	subnetwork	subnetwork	NOUN
ajst-10997	323	12	.	.	PUNCT
ajst-10997	324	1	it	it	PRON
ajst-10997	324	2	can	can	AUX
ajst-10997	324	3	effectively	effectively	ADV
ajst-10997	324	4	extract	extract	VERB
ajst-10997	324	5	the	the	DET
ajst-10997	324	6	timing	timing	NOUN
ajst-10997	324	7	information	information	NOUN
ajst-10997	324	8	of	of	ADP
ajst-10997	324	9	lithium	lithium	NOUN
ajst-10997	324	10	batteries	battery	NOUN
ajst-10997	324	11	.	.	PUNCT
ajst-10997	325	1	the	the	DET
ajst-10997	325	2	gru	gru	NOUN
ajst-10997	325	3	-	-	ADJ
ajst-10997	325	4	attention	attention	NOUN
ajst-10997	325	5	network	network	NOUN
ajst-10997	325	6	also	also	ADV
ajst-10997	325	7	contains	contain	VERB
ajst-10997	325	8	the	the	DET
ajst-10997	325	9	attention	attention	NOUN
ajst-10997	325	10	sub	sub	NOUN
ajst-10997	325	11	-	-	NOUN
ajst-10997	325	12	network	network	NOUN
ajst-10997	325	13	.	.	PUNCT
ajst-10997	326	1	it	it	PRON
ajst-10997	326	2	can	can	AUX
ajst-10997	326	3	pay	pay	VERB
ajst-10997	326	4	more	more	ADJ
ajst-10997	326	5	attention	attention	NOUN
ajst-10997	326	6	to	to	ADP
ajst-10997	326	7	global	global	ADJ
ajst-10997	326	8	information	information	NOUN
ajst-10997	326	9	characteristics	characteristic	NOUN
ajst-10997	326	10	.	.	PUNCT
ajst-10997	327	1	the	the	DET
ajst-10997	327	2	publicly	publicly	ADV
ajst-10997	327	3	available	available	ADJ
ajst-10997	327	4	dataset	dataset	NOUN
ajst-10997	327	5	from	from	ADP
ajst-10997	327	6	the	the	DET
ajst-10997	327	7	university	university	PROPN
ajst-10997	327	8	of	of	ADP
ajst-10997	327	9	maryland	maryland	PROPN
ajst-10997	327	10	is	be	AUX
ajst-10997	327	11	used	use	VERB
ajst-10997	327	12	in	in	ADP
ajst-10997	327	13	this	this	DET
ajst-10997	327	14	paper	paper	NOUN
ajst-10997	327	15	.	.	PUNCT
ajst-10997	328	1	in	in	ADP
ajst-10997	328	2	optimizing	optimize	VERB
ajst-10997	328	3	network	network	NOUN
ajst-10997	328	4	hyperparameters	hyperparameter	NOUN
ajst-10997	328	5	,	,	PUNCT
ajst-10997	328	6	batchsize	batchsize	VERB
ajst-10997	328	7	determines	determine	VERB
ajst-10997	328	8	the	the	DET
ajst-10997	328	9	speed	speed	NOUN
ajst-10997	328	10	of	of	ADP
ajst-10997	328	11	network	network	NOUN
ajst-10997	328	12	convergence	convergence	NOUN
ajst-10997	328	13	.	.	PUNCT
ajst-10997	329	1	however	however	ADV
ajst-10997	329	2	,	,	PUNCT
ajst-10997	329	3	in	in	ADP
ajst-10997	329	4	the	the	DET
ajst-10997	329	5	test	test	NOUN
ajst-10997	329	6	network	network	NOUN
ajst-10997	329	7	performance	performance	NOUN
ajst-10997	329	8	,	,	PUNCT
ajst-10997	329	9	whether	whether	SCONJ
ajst-10997	329	10	batchsize	batchsize	NOUN
ajst-10997	329	11	is	be	AUX
ajst-10997	329	12	too	too	ADV
ajst-10997	329	13	large	large	ADJ
ajst-10997	329	14	or	or	CCONJ
ajst-10997	329	15	too	too	ADV
ajst-10997	329	16	small	small	ADJ
ajst-10997	329	17	will	will	AUX
ajst-10997	329	18	negatively	negatively	ADV
ajst-10997	329	19	impact	impact	VERB
ajst-10997	329	20	the	the	DET
ajst-10997	329	21	network	network	NOUN
ajst-10997	329	22	performance	performance	NOUN
ajst-10997	329	23	.	.	PUNCT
ajst-10997	330	1	the	the	DET
ajst-10997	330	2	value	value	NOUN
ajst-10997	330	3	of	of	ADP
ajst-10997	330	4	another	another	DET
ajst-10997	330	5	hyperparameter	hyperparameter	NOUN
ajst-10997	330	6	,	,	PUNCT
ajst-10997	330	7	timestep	timestep	NOUN
ajst-10997	330	8	,	,	PUNCT
ajst-10997	330	9	also	also	ADV
ajst-10997	330	10	affects	affect	VERB
ajst-10997	330	11	the	the	DET
ajst-10997	330	12	network	network	NOUN
ajst-10997	330	13	's	's	PART
ajst-10997	330	14	performance	performance	NOUN
ajst-10997	330	15	.	.	PUNCT
ajst-10997	331	1	the	the	DET
ajst-10997	331	2	smaller	small	ADJ
ajst-10997	331	3	the	the	DET
ajst-10997	331	4	value	value	NOUN
ajst-10997	331	5	of	of	ADP
ajst-10997	331	6	timestep	timestep	NOUN
ajst-10997	331	7	,	,	PUNCT
ajst-10997	331	8	the	the	PRON
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ajst-10997	331	10	the	the	DET
ajst-10997	331	11	network	network	NOUN
ajst-10997	331	12	designed	design	VERB
ajst-10997	331	13	in	in	ADP
ajst-10997	331	14	this	this	DET
ajst-10997	331	15	paper	paper	NOUN
ajst-10997	331	16	converges	converge	NOUN
ajst-10997	331	17	.	.	PUNCT
ajst-10997	332	1	however	however	ADV
ajst-10997	332	2	,	,	PUNCT
ajst-10997	332	3	too	too	ADV
ajst-10997	332	4	small	small	ADJ
ajst-10997	332	5	of	of	ADP
ajst-10997	332	6	timestep	timestep	NOUN
ajst-10997	332	7	will	will	AUX
ajst-10997	332	8	degrade	degrade	VERB
ajst-10997	332	9	the	the	DET
ajst-10997	332	10	generalization	generalization	NOUN
ajst-10997	332	11	performance	performance	NOUN
ajst-10997	332	12	of	of	ADP
ajst-10997	332	13	the	the	DET
ajst-10997	332	14	network	network	NOUN
ajst-10997	332	15	.	.	PUNCT
ajst-10997	333	1	this	this	DET
ajst-10997	333	2	paper	paper	NOUN
ajst-10997	333	3	compares	compare	VERB
ajst-10997	333	4	the	the	DET
ajst-10997	333	5	proposed	propose	VERB
ajst-10997	333	6	algorithm	algorithm	NOUN
ajst-10997	333	7	with	with	ADP
ajst-10997	333	8	the	the	DET
ajst-10997	333	9	gru	gru	NOUN
ajst-10997	333	10	network	network	NOUN
ajst-10997	333	11	and	and	CCONJ
ajst-10997	333	12	attention	attention	NOUN
ajst-10997	333	13	network	network	NOUN
ajst-10997	333	14	.	.	PUNCT
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ajst-10997	334	2	,	,	PUNCT
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ajst-10997	334	7	the	the	DET
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ajst-10997	334	10	the	the	DET
ajst-10997	334	11	gru	gru	NOUN
ajst-10997	334	12	-	-	ADJ
ajst-10997	334	13	attention	attention	NOUN
ajst-10997	334	14	network	network	NOUN
ajst-10997	334	15	proposed	propose	VERB
ajst-10997	334	16	in	in	ADP
ajst-10997	334	17	this	this	DET
ajst-10997	334	18	paper	paper	NOUN
ajst-10997	334	19	is	be	AUX
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ajst-10997	334	21	.	.	PUNCT
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ajst-10997	335	2	research	research	NOUN
ajst-10997	335	3	must	must	AUX
ajst-10997	335	4	combine	combine	VERB
ajst-10997	335	5	multiple	multiple	ADJ
ajst-10997	335	6	public	public	ADJ
ajst-10997	335	7	data	datum	NOUN
ajst-10997	335	8	sets	set	NOUN
ajst-10997	335	9	to	to	PART
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ajst-10997	335	11	lithium	lithium	NOUN
ajst-10997	335	12	batteries	battery	NOUN
ajst-10997	335	13	'	'	PART
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ajst-10997	335	15	characteristics	characteristic	NOUN
ajst-10997	335	16	better	well	ADV
ajst-10997	335	17	.	.	PUNCT
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ajst-10997	336	3	1	1	NUM
ajst-10997	336	4	]	]	X
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ajst-10997	336	12	,	,	PUNCT
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ajst-10997	336	16	-	-	PUNCT
ajst-10997	336	17	based	base	VERB
ajst-10997	336	18	prescribedtime	prescribedtime	NOUN
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ajst-10997	336	21	battery	battery	NOUN
ajst-10997	336	22	state	state	NOUN
ajst-10997	336	23	-	-	PUNCT
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ajst-10997	336	25	-	-	PUNCT
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ajst-10997	336	28	.	.	PUNCT
ajst-10997	337	1	ieee	ieee	NOUN
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ajst-10997	338	1	38(1	38(1	NOUN
ajst-10997	338	2	):	):	PUNCT
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ajst-10997	338	5	-	-	SYM
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ajst-10997	339	19	convolutional	convolutional	ADJ
ajst-10997	339	20	network	network	NOUN
ajst-10997	339	21	based	base	VERB
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ajst-10997	339	25	operating	operate	VERB
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ajst-10997	339	27	.	.	PUNCT
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ajst-10997	340	7	.	.	PUNCT
ajst-10997	341	1	55	55	NUM
ajst-10997	341	2	.	.	PUNCT
ajst-10997	342	1	[	[	X
ajst-10997	342	2	3	3	NUM
ajst-10997	342	3	]	]	SYM
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ajst-10997	345	3	]	]	PUNCT
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ajst-10997	345	21	-	-	PUNCT
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ajst-10997	412	8	et	et	PROPN
ajst-10997	412	9	al	al	PROPN
ajst-10997	412	10	.	.	PROPN
ajst-10997	412	11	,	,	PUNCT
ajst-10997	412	12	data	data	NOUN
ajst-10997	412	13	-	-	PUNCT
ajst-10997	412	14	driven	drive	VERB
ajst-10997	412	15	capacity	capacity	NOUN
ajst-10997	412	16	estimation	estimation	NOUN
ajst-10997	412	17	of	of	ADP
ajst-10997	412	18	li	li	PROPN
ajst-10997	412	19	-	-	PUNCT
ajst-10997	412	20	ion	ion	NOUN
ajst-10997	412	21	batteries	battery	NOUN
ajst-10997	412	22	using	use	VERB
ajst-10997	412	23	constant	constant	ADJ
ajst-10997	412	24	current	current	ADJ
ajst-10997	412	25	charging	charging	NOUN
ajst-10997	412	26	at	at	ADP
ajst-10997	412	27	various	various	ADJ
ajst-10997	412	28	ambient	ambient	ADJ
ajst-10997	412	29	temperatures	temperature	NOUN
ajst-10997	412	30	.	.	PUNCT
ajst-10997	413	1	ieee	ieee	NOUN
ajst-10997	413	2	access	access	NOUN
ajst-10997	413	3	,	,	PUNCT
ajst-10997	413	4	2023	2023	NUM
ajst-10997	413	5	.	.	PUNCT
ajst-10997	414	1	11	11	NUM
ajst-10997	414	2	:	:	PUNCT
ajst-10997	415	1	p.	p.	NOUN
ajst-10997	415	2	2711	2711	NUM
ajst-10997	415	3	-	-	SYM
ajst-10997	415	4	2720	2720	NUM
ajst-10997	415	5	.	.	PUNCT
ajst-10997	416	1	[	[	X
ajst-10997	416	2	31	31	NUM
ajst-10997	416	3	]	]	X
ajst-10997	416	4	khaleghi	khaleghi	PROPN
ajst-10997	416	5	rahimian	rahimian	PROPN
ajst-10997	416	6	,	,	PUNCT
ajst-10997	416	7	s.	s.	PROPN
ajst-10997	416	8	and	and	CCONJ
ajst-10997	416	9	y.	y.	PROPN
ajst-10997	416	10	tang	tang	PROPN
ajst-10997	416	11	,	,	PUNCT
ajst-10997	416	12	a	a	DET
ajst-10997	416	13	practical	practical	ADJ
ajst-10997	416	14	data	data	NOUN
ajst-10997	416	15	-	-	PUNCT
ajst-10997	416	16	driven	drive	VERB
ajst-10997	416	17	battery	battery	NOUN
ajst-10997	416	18	state	state	NOUN
ajst-10997	416	19	-	-	PUNCT
ajst-10997	416	20	of	of	ADP
ajst-10997	416	21	-	-	PUNCT
ajst-10997	416	22	health	health	NOUN
ajst-10997	416	23	estimation	estimation	NOUN
ajst-10997	416	24	for	for	ADP
ajst-10997	416	25	electric	electric	ADJ
ajst-10997	416	26	vehicles	vehicle	NOUN
ajst-10997	416	27	.	.	PUNCT
ajst-10997	417	1	ieee	ieee	NOUN
ajst-10997	417	2	transactions	transaction	NOUN
ajst-10997	417	3	on	on	ADP
ajst-10997	417	4	industrial	industrial	ADJ
ajst-10997	417	5	electronics	electronic	NOUN
ajst-10997	417	6	,	,	PUNCT
ajst-10997	417	7	2023	2023	NUM
ajst-10997	417	8	.	.	PUNCT
ajst-10997	418	1	70(2	70(2	NUM
ajst-10997	418	2	):	):	PUNCT
ajst-10997	418	3	p.	p.	NOUN
ajst-10997	418	4	19731982	19731982	NUM
ajst-10997	418	5	.	.	PUNCT