> top > docs > PubMed:31996342 > annotations

PubMed:31996342 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-5 NNP denotes Wuhan
EnjuParser_T1 5-6 -COLON- denotes :
EnjuParser_T2 7-14 NNS denotes Britons
EnjuParser_T3 15-17 TO denotes to
EnjuParser_T4 18-20 VB denotes be
EnjuParser_T5 21-30 VBN denotes evacuated
EnjuParser_T6 31-33 IN denotes as
EnjuParser_T7 34-44 NNS denotes scientists
EnjuParser_T8 45-53 VBP denotes estimate
EnjuParser_T9 54-56 CD denotes 44
EnjuParser_T10 57-60 CD denotes 000
EnjuParser_T11 61-66 NNS denotes cases
EnjuParser_T12 67-69 IN denotes of
EnjuParser_T13 70-79 NN denotes 2019-nCOV
EnjuParser_T14 80-82 IN denotes in
EnjuParser_T15 83-86 DT denotes the
EnjuParser_T16 87-91 NN denotes city
EnjuParser_R0 EnjuParser_T0 EnjuParser_T1 arg1Of Wuhan,:
EnjuParser_R1 EnjuParser_T5 EnjuParser_T3 arg1Of evacuated,to
EnjuParser_R2 EnjuParser_T2 EnjuParser_T3 modOf Britons,to
EnjuParser_R3 EnjuParser_T2 EnjuParser_T4 arg1Of Britons,be
EnjuParser_R4 EnjuParser_T5 EnjuParser_T4 arg2Of evacuated,be
EnjuParser_R5 EnjuParser_T2 EnjuParser_T5 arg2Of Britons,evacuated
EnjuParser_R6 EnjuParser_T5 EnjuParser_T6 arg1Of evacuated,as
EnjuParser_R7 EnjuParser_T8 EnjuParser_T6 arg2Of estimate,as
EnjuParser_R8 EnjuParser_T7 EnjuParser_T8 arg1Of scientists,estimate
EnjuParser_R9 EnjuParser_T11 EnjuParser_T8 arg2Of cases,estimate
EnjuParser_R10 EnjuParser_T10 EnjuParser_T9 arg1Of 000,44
EnjuParser_R11 EnjuParser_T11 EnjuParser_T10 arg1Of cases,000
EnjuParser_R12 EnjuParser_T11 EnjuParser_T12 arg1Of cases,of
EnjuParser_R13 EnjuParser_T13 EnjuParser_T12 arg2Of 2019-nCOV,of
EnjuParser_R14 EnjuParser_T11 EnjuParser_T14 arg1Of cases,in
EnjuParser_R15 EnjuParser_T16 EnjuParser_T14 arg2Of city,in
EnjuParser_R16 EnjuParser_T16 EnjuParser_T15 arg1Of city,the

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T1 0-92 DRI_Background denotes Wuhan: Britons to be evacuated as scientists estimate 44 000 cases of 2019-nCOV in the city.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 18-20 SO:0000999 denotes be

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 70-79 SP_7 denotes 2019-nCOV

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-6 Sentence denotes Wuhan:
TextSentencer_T2 7-92 Sentence denotes Britons to be evacuated as scientists estimate 44 000 cases of 2019-nCOV in the city.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-5 NNP denotes Wuhan
tok2 5-6 : denotes :
tok3 7-14 NNP denotes Britons
tok4 15-17 TO denotes to
tok5 18-20 VB denotes be
tok6 21-30 VBN denotes evacuated
tok7 31-33 IN denotes as
tok8 34-44 NNS denotes scientists
tok9 45-53 VBP denotes estimate
tok10 54-56 CD denotes 44
tok11 57-60 CD denotes 000
tok12 61-66 NNS denotes cases
tok13 67-69 IN denotes of
tok14 70-74 CD denotes 2019
tok15 74-75 : denotes -
tok16 75-79 NN denotes nCOV
tok17 80-82 IN denotes in
tok18 83-86 DT denotes the
tok19 87-91 NN denotes city
tok20 91-92 . denotes .
lookup1 0-5 location denotes Wuhan
lookup2 15-17 country_code denotes to
lookup3 18-20 country_code denotes be
lookup4 31-33 country_code denotes as
lookup5 70-74 year denotes 2019
lookup6 80-82 country_code denotes in
lookup7 87-91 loc_general_key denotes city
event1 21-30 OCCURRENCE denotes evacuated
event2 45-53 I_STATE denotes estimate

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 70-79 Species denotes 2019-nCOV Tax:2697049

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-6 Sentence denotes Wuhan:
T2 7-92 Sentence denotes Britons to be evacuated as scientists estimate 44 000 cases of 2019-nCOV in the city.