LitCovid-PAS-Enju  

PubMed:32176808 / 63-257 JSONTXT 19 Projects

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Id Subject Object Predicate Lexical cue
EnjuParser_T9 0-1 DT denotes A
EnjuParser_T10 2-7 JJ denotes novel
EnjuParser_T11 8-19 NN denotes coronavirus
EnjuParser_T12 20-21 -LRB- denotes (
EnjuParser_T13 21-31 NN denotes SARS-CoV-2
EnjuParser_T14 31-32 -RRB- denotes )
EnjuParser_T15 33-38 RB denotes first
EnjuParser_T16 39-47 VBN denotes detected
EnjuParser_T17 48-50 IN denotes in
EnjuParser_T18 51-56 NNP denotes Wuhan
EnjuParser_T19 56-57 -COMMA- denotes ,
EnjuParser_T20 58-63 NNP denotes China
EnjuParser_T21 63-64 -COMMA- denotes ,
EnjuParser_T22 65-68 VBZ denotes has
EnjuParser_T23 69-75 VBN denotes spread
EnjuParser_T24 76-83 RB denotes rapidly
EnjuParser_T25 84-89 IN denotes since
EnjuParser_T26 90-98 NNP denotes December
EnjuParser_T27 99-103 CD denotes 2019
EnjuParser_T28 103-104 -COMMA- denotes ,
EnjuParser_T29 105-112 VBG denotes causing
EnjuParser_T30 113-117 JJR denotes more
EnjuParser_T31 118-122 IN denotes than
EnjuParser_T32 123-130 CD denotes 100,000
EnjuParser_T33 131-140 VBN denotes confirmed
EnjuParser_T34 141-151 NNS denotes infections
EnjuParser_T35 152-155 CC denotes and
EnjuParser_T36 156-160 CD denotes 4000
EnjuParser_T37 161-171 NNS denotes fatalities
EnjuParser_T38 172-173 -LRB- denotes (
EnjuParser_T39 173-175 IN denotes as
EnjuParser_T40 176-178 IN denotes of
EnjuParser_T41 179-181 CD denotes 10
EnjuParser_T42 182-187 NNP denotes March
EnjuParser_T43 188-192 CD denotes 2020
EnjuParser_T44 192-193 -RRB- denotes )
EnjuParser_R10 EnjuParser_T11 EnjuParser_T12 arg1Of coronavirus,(
EnjuParser_R11 EnjuParser_T13 EnjuParser_T12 arg2Of SARS-CoV-2,(
EnjuParser_R12 EnjuParser_T14 EnjuParser_T12 arg3Of ),(
EnjuParser_R13 EnjuParser_T16 EnjuParser_T15 arg1Of detected,first
EnjuParser_R14 EnjuParser_T11 EnjuParser_T16 arg2Of coronavirus,detected
EnjuParser_R15 EnjuParser_T16 EnjuParser_T17 arg1Of detected,in
EnjuParser_R16 EnjuParser_T18 EnjuParser_T17 arg2Of Wuhan,in
EnjuParser_R17 EnjuParser_T18 EnjuParser_T19 arg1Of Wuhan,","
EnjuParser_R18 EnjuParser_T20 EnjuParser_T19 arg2Of China,","
EnjuParser_R19 EnjuParser_T23 EnjuParser_T21 arg1Of spread,","
EnjuParser_R20 EnjuParser_T11 EnjuParser_T22 arg1Of coronavirus,has
EnjuParser_R21 EnjuParser_T23 EnjuParser_T22 arg2Of spread,has
EnjuParser_R22 EnjuParser_T11 EnjuParser_T23 arg1Of coronavirus,spread
EnjuParser_R23 EnjuParser_T23 EnjuParser_T24 arg1Of spread,rapidly
EnjuParser_R24 EnjuParser_T23 EnjuParser_T25 arg1Of spread,since
EnjuParser_R25 EnjuParser_T26 EnjuParser_T25 arg2Of December,since
EnjuParser_R26 EnjuParser_T26 EnjuParser_T27 arg1Of December,2019
EnjuParser_R27 EnjuParser_T23 EnjuParser_T28 arg1Of spread,","
EnjuParser_R28 EnjuParser_T35 EnjuParser_T29 arg2Of and,causing
EnjuParser_R29 EnjuParser_T23 EnjuParser_T29 modOf spread,causing
EnjuParser_R30 EnjuParser_T34 EnjuParser_T30 arg1Of infections,more
EnjuParser_R31 EnjuParser_T30 EnjuParser_T31 arg1Of more,than
EnjuParser_R32 EnjuParser_T32 EnjuParser_T31 arg2Of "100,000",than
EnjuParser_R33 EnjuParser_T34 EnjuParser_T33 arg2Of infections,confirmed
EnjuParser_R34 EnjuParser_T34 EnjuParser_T35 arg1Of infections,and
EnjuParser_R35 EnjuParser_T37 EnjuParser_T35 arg2Of fatalities,and
EnjuParser_R36 EnjuParser_T37 EnjuParser_T36 arg1Of fatalities,4000
EnjuParser_R37 EnjuParser_T37 EnjuParser_T38 arg1Of fatalities,(
EnjuParser_R38 EnjuParser_T39 EnjuParser_T38 arg2Of as,(
EnjuParser_R39 EnjuParser_T44 EnjuParser_T38 arg3Of ),(
EnjuParser_R40 EnjuParser_T42 EnjuParser_T39 arg2Of March,as
EnjuParser_R41 EnjuParser_T41 EnjuParser_T40 arg1Of 10,of
EnjuParser_R42 EnjuParser_T42 EnjuParser_T41 arg1Of March,10
EnjuParser_R43 EnjuParser_T42 EnjuParser_T43 arg1Of March,2020
EnjuParser_R8 EnjuParser_T11 EnjuParser_T9 arg1Of coronavirus,A
EnjuParser_R9 EnjuParser_T11 EnjuParser_T10 arg1Of coronavirus,novel