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LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-3 DT denotes The
EnjuParser_T1 4-8 JJ denotes next
EnjuParser_T2 9-12 JJ denotes big
EnjuParser_T3 13-19 NN denotes threat
EnjuParser_T4 20-22 TO denotes to
EnjuParser_T5 23-29 JJ denotes global
EnjuParser_T6 30-36 NN denotes health
EnjuParser_T7 38-42 CD denotes 2019
EnjuParser_T8 43-48 JJ denotes novel
EnjuParser_T9 49-60 NN denotes coronavirus
EnjuParser_T10 61-62 -LRB- denotes (
EnjuParser_T11 62-71 NN denotes 2019-nCoV
EnjuParser_T12 71-72 -RRB- denotes )
EnjuParser_T13 72-73 -COLON- denotes :
EnjuParser_T14 74-78 WP denotes What
EnjuParser_T15 79-85 NN denotes advice
EnjuParser_T16 86-89 MD denotes can
EnjuParser_T17 90-92 PRP denotes we
EnjuParser_T18 93-97 VB denotes give
EnjuParser_T19 98-100 TO denotes to
EnjuParser_T20 101-111 NNS denotes travellers
EnjuParser_T21 113-114 -COLON- denotes -
EnjuParser_T22 115-122 NNP denotes Interim
EnjuParser_T23 123-138 NNS denotes recommendations
EnjuParser_T24 139-146 NNP denotes January
EnjuParser_T25 147-151 CD denotes 2020
EnjuParser_T26 151-152 -COMMA- denotes ,
EnjuParser_T27 153-157 IN denotes from
EnjuParser_T28 158-161 DT denotes the
EnjuParser_T29 162-176 JJ denotes Latin-American
EnjuParser_T30 177-184 NN denotes society
EnjuParser_T31 185-188 IN denotes for
EnjuParser_T32 189-195 NNP denotes Travel
EnjuParser_T33 196-204 NNP denotes Medicine
EnjuParser_T34 205-206 -LRB- denotes (
EnjuParser_T35 206-212 NN denotes SLAMVI
EnjuParser_T36 212-213 -RRB- denotes )
EnjuParser_R0 EnjuParser_T3 EnjuParser_T0 arg1Of threat,The
EnjuParser_R1 EnjuParser_T3 EnjuParser_T1 arg1Of threat,next
EnjuParser_R2 EnjuParser_T3 EnjuParser_T2 arg1Of threat,big
EnjuParser_R3 EnjuParser_T3 EnjuParser_T4 arg1Of threat,to
EnjuParser_R4 EnjuParser_T6 EnjuParser_T4 arg2Of health,to
EnjuParser_R5 EnjuParser_T6 EnjuParser_T5 arg1Of health,global
EnjuParser_R6 EnjuParser_T9 EnjuParser_T7 arg1Of coronavirus,2019
EnjuParser_R7 EnjuParser_T9 EnjuParser_T8 arg1Of coronavirus,novel
EnjuParser_R8 EnjuParser_T9 EnjuParser_T10 arg1Of coronavirus,(
EnjuParser_R9 EnjuParser_T11 EnjuParser_T10 arg2Of 2019-nCoV,(
EnjuParser_R10 EnjuParser_T12 EnjuParser_T10 arg3Of ),(
EnjuParser_R11 EnjuParser_T9 EnjuParser_T13 arg1Of coronavirus,:
EnjuParser_R12 EnjuParser_T18 EnjuParser_T14 arg1Of give,What
EnjuParser_R13 EnjuParser_T17 EnjuParser_T16 arg1Of we,can
EnjuParser_R14 EnjuParser_T18 EnjuParser_T16 arg2Of give,can
EnjuParser_R15 EnjuParser_T17 EnjuParser_T18 arg1Of we,give
EnjuParser_R16 EnjuParser_T15 EnjuParser_T18 arg2Of advice,give
EnjuParser_R17 EnjuParser_T18 EnjuParser_T19 arg1Of give,to
EnjuParser_R18 EnjuParser_T20 EnjuParser_T19 arg2Of travellers,to
EnjuParser_R19 EnjuParser_T20 EnjuParser_T21 arg1Of travellers,-
EnjuParser_R20 EnjuParser_T24 EnjuParser_T21 arg2Of January,-
EnjuParser_R21 EnjuParser_T24 EnjuParser_T22 arg1Of January,Interim
EnjuParser_R22 EnjuParser_T24 EnjuParser_T23 arg1Of January,recommendations
EnjuParser_R23 EnjuParser_T24 EnjuParser_T25 arg1Of January,2020
EnjuParser_R24 EnjuParser_T24 EnjuParser_T26 arg1Of January,","
EnjuParser_R25 EnjuParser_T24 EnjuParser_T27 arg1Of January,from
EnjuParser_R26 EnjuParser_T30 EnjuParser_T27 arg2Of society,from
EnjuParser_R27 EnjuParser_T30 EnjuParser_T28 arg1Of society,the
EnjuParser_R28 EnjuParser_T30 EnjuParser_T29 arg1Of society,Latin-American
EnjuParser_R29 EnjuParser_T30 EnjuParser_T31 arg1Of society,for
EnjuParser_R30 EnjuParser_T33 EnjuParser_T31 arg2Of Medicine,for
EnjuParser_R31 EnjuParser_T33 EnjuParser_T32 arg1Of Medicine,Travel
EnjuParser_R32 EnjuParser_T33 EnjuParser_T34 arg1Of Medicine,(
EnjuParser_R33 EnjuParser_T35 EnjuParser_T34 arg2Of SLAMVI,(
EnjuParser_R34 EnjuParser_T36 EnjuParser_T34 arg3Of ),(

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 49-60 NCBITaxon:11118 denotes coronavirus
T2 62-71 SP_7 denotes 2019-nCoV

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-37 Sentence denotes The next big threat to global health?
TextSentencer_T2 38-73 Sentence denotes 2019 novel coronavirus (2019-nCoV):
TextSentencer_T3 74-214 Sentence denotes What advice can we give to travellers? - Interim recommendations January 2020, from the Latin-American society for Travel Medicine (SLAMVI).

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-3 DT denotes The
tok2 4-8 JJ denotes next
tok3 9-12 JJ denotes big
tok4 13-19 NN denotes threat
tok5 20-22 TO denotes to
tok6 23-29 JJ denotes global
tok7 30-36 NN denotes health
tok8 36-37 . denotes ?
tok9 38-42 CD denotes 2019
tok10 43-48 NN denotes novel
tok11 49-60 JJ denotes coronavirus
tok12 61-62 ( denotes (
tok13 62-66 CD denotes 2019
tok14 66-67 : denotes -
tok15 67-71 NN denotes nCoV
tok16 71-72 ) denotes )
tok17 72-73 : denotes :
tok18 74-78 WP denotes What
tok19 79-85 NN denotes advice
tok20 86-89 MD denotes can
tok21 90-92 PRP denotes we
tok22 93-97 VB denotes give
tok23 98-100 TO denotes to
tok24 101-111 NNS denotes travellers
tok25 111-112 . denotes ?
tok26 113-114 : denotes -
tok27 115-122 NNP denotes Interim
tok28 123-138 NNS denotes recommendations
tok29 139-146 NNP denotes January
tok30 147-151 CD denotes 2020
tok31 151-152 , denotes ,
tok32 153-157 IN denotes from
tok33 158-161 DT denotes the
tok34 162-168 NNP denotes Latin-
tok35 168-176 JJ denotes American
tok36 177-184 NN denotes society
tok37 185-188 IN denotes for
tok38 189-195 NNP denotes Travel
tok39 196-204 NNP denotes Medicine
tok40 205-206 ( denotes (
tok41 206-212 NNP denotes SLAMVI
tok42 212-213 ) denotes )
tok43 213-214 . denotes .
lookup1 4-8 time_modifier denotes next
lookup2 20-22 country_code denotes to
lookup3 38-42 year denotes 2019
lookup4 62-66 year denotes 2019
lookup5 98-100 country_code denotes to
lookup6 139-146 date denotes January
lookup7 147-151 year denotes 2020
lookup8 168-176 country_adj denotes American
event1 93-97 OCCURRENCE denotes give