PubMed:32087820 / 567-747 JSON TXT 7 Projects

Annnotations TAB TSV DIC JSON TextAE

Id	Subject	Object	Predicate	Lexical cue
tok97	0-7	NNP	denotes	METHODS
tok98	7-8	:	denotes	:
tok99	9-11	PRP	denotes	We
lookup12	9-11	stop	denotes	We
tok100	12-16	VBD	denotes	used
event23	12-16	OCCURRENCE	denotes	used
tok101	17-21	NNS	denotes	data
tok102	22-24	IN	denotes	on
tok103	25-28	DT	denotes	the
tok104	29-35	NN	denotes	volume
tok105	36-38	IN	denotes	of
tok106	39-42	NN	denotes	air
tok107	43-49	NN	denotes	travel
tok108	50-59	VBG	denotes	departing
event18	50-59	OCCURRENCE	denotes	departing
tok109	60-64	IN	denotes	from
tok110	65-73	NNS	denotes	airports
tok111	74-76	IN	denotes	in
lookup13	74-76	country_code	denotes	in
tok112	77-80	DT	denotes	the
tok113	81-89	JJ	denotes	infected
tok114	90-99	NNS	denotes	provinces
tok115	100-102	IN	denotes	in
lookup14	100-102	country_code	denotes	in
tok116	103-108	NNP	denotes	China
lookup15	103-108	location	denotes	China
tok117	109-112	CC	denotes	and
tok118	113-121	VBN	denotes	directed
event1	113-121	OCCURRENCE	denotes	directed
tok119	122-124	TO	denotes	to
lookup16	122-124	country_code	denotes	to
tok120	125-131	NNP	denotes	Africa
lookup17	125-131	location	denotes	Africa
tok121	132-134	TO	denotes	to
lookup18	132-134	country_code	denotes	to
tok122	135-143	VB	denotes	estimate
event10	135-143	OCCURRENCE	denotes	estimate
tok123	144-147	DT	denotes	the
tok124	148-152	NN	denotes	risk
tok125	153-155	IN	denotes	of
tok126	156-167	NN	denotes	importation
tok127	168-171	IN	denotes	per
lookup19	168-171	person_first	denotes	per
tok128	172-179	NN	denotes	country
tok129	179-180	.	denotes	.