PubMed:32240634 / 0-266 JSON TXT 7 Projects

Annnotations TAB TSV DIC JSON TextAE

Id	Subject	Object	Predicate	Lexical cue
tok1	0-9	NNS	denotes	Estimates
tok2	10-12	IN	denotes	of
tok3	13-16	DT	denotes	the
tok4	17-25	NN	denotes	severity
tok5	26-28	IN	denotes	of
tok6	29-40	JJ	denotes	coronavirus
tok7	41-48	NN	denotes	disease
tok8	49-53	CD	denotes	2019
lookup1	49-53	year	denotes	2019
tok9	53-54	:	denotes	:
tok10	55-56	DT	denotes	a
lookup2	57-62	jobtitle	denotes	model
tok11	57-68	JJ	denotes	model-based
tok12	69-77	NN	denotes	analysis
tok13	77-78	.	denotes	.
tok14	79-89	NNP	denotes	BACKGROUND
tok15	89-90	:	denotes	:
tok16	91-93	IN	denotes	In
tok17	94-97	DT	denotes	the
tok18	98-102	NN	denotes	face
tok19	103-105	IN	denotes	of
tok20	106-113	RB	denotes	rapidly
tok21	114-122	VBG	denotes	changing
event24	114-122	OCCURRENCE	denotes	changing
tok22	123-127	NNS	denotes	data
tok23	127-128	,	denotes	,
tok24	129-130	DT	denotes	a
tok25	131-136	NN	denotes	range
tok26	137-139	IN	denotes	of
tok27	140-144	NN	denotes	case
tok28	145-153	NN	denotes	fatality
tok29	154-159	NN	denotes	ratio
tok30	160-169	NNS	denotes	estimates
tok31	170-173	IN	denotes	for
tok32	174-185	JJ	denotes	coronavirus
tok33	186-193	NN	denotes	disease
tok34	194-198	CD	denotes	2019
lookup3	194-198	year	denotes	2019
tok35	199-200	(	denotes	(
tok36	200-206	NNP	denotes	COVID-
tok37	206-208	CD	denotes	19
tok38	208-209	)	denotes	)
tok39	210-214	VBP	denotes	have
tok40	215-219	VBN	denotes	been
tok41	220-228	VBN	denotes	produced
event17	220-228	OCCURRENCE	denotes	produced
tok42	229-233	WDT	denotes	that
tok43	234-240	VBP	denotes	differ
event29	234-240	OCCURRENCE	denotes	differ
tok44	241-254	RB	denotes	substantially
tok45	255-257	IN	denotes	in
lookup4	255-257	country_code	denotes	in