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PubMed:32052373 / 0-309 JSONTXT

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LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 86-97 NCBITaxon:11118 denotes coronavirus
T2 99-108 SP_7 denotes 2019-nCoV

LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-9 JJ denotes Practical
EnjuParser_T1 10-25 NNS denotes recommendations
EnjuParser_T2 26-29 IN denotes for
EnjuParser_T3 30-38 JJ denotes critical
EnjuParser_T4 39-43 NN denotes care
EnjuParser_T5 44-47 CC denotes and
EnjuParser_T6 48-62 NN denotes anesthesiology
EnjuParser_T7 63-68 NNS denotes teams
EnjuParser_T8 69-75 VBG denotes caring
EnjuParser_T9 76-79 IN denotes for
EnjuParser_T10 80-85 JJ denotes novel
EnjuParser_T11 86-97 NN denotes coronavirus
EnjuParser_T12 98-99 -LRB- denotes (
EnjuParser_T13 99-108 NN denotes 2019-nCoV
EnjuParser_T14 108-109 -RRB- denotes )
EnjuParser_T15 110-118 NNS denotes patients
EnjuParser_T16 120-130 NNS denotes Directives
EnjuParser_T17 131-140 NNS denotes concrètes
EnjuParser_T18 141-142 VBP denotes à
EnjuParser_T19 143-154 NN denotes l’intention
EnjuParser_T20 155-158 FW denotes des
EnjuParser_T21 159-166 FW denotes équipes
EnjuParser_T22 167-169 FW denotes de
EnjuParser_T23 170-175 FW denotes soins
EnjuParser_T24 176-185 NNS denotes intensifs
EnjuParser_T25 186-188 FW denotes et
EnjuParser_T26 189-206 FW denotes d’anesthésiologie
EnjuParser_T27 207-214 JJ denotes prenant
EnjuParser_T28 215-219 NN denotes soin
EnjuParser_T29 220-222 FW denotes de
EnjuParser_T30 223-231 NNS denotes patients
EnjuParser_T31 232-240 NNS denotes atteints
EnjuParser_T32 241-243 NN denotes du
EnjuParser_T33 244-255 NN denotes coronavirus
EnjuParser_T34 256-265 NN denotes 2019-nCoV
EnjuParser_T35 267-268 DT denotes A
EnjuParser_T36 269-275 JJ denotes global
EnjuParser_T37 276-282 NN denotes health
EnjuParser_T38 283-292 NN denotes emergency
EnjuParser_T39 293-296 VBZ denotes has
EnjuParser_T40 297-301 VBN denotes been
EnjuParser_R0 EnjuParser_T1 EnjuParser_T0 arg1Of recommendations,Practical
EnjuParser_R1 EnjuParser_T1 EnjuParser_T2 arg1Of recommendations,for
EnjuParser_R2 EnjuParser_T7 EnjuParser_T2 arg2Of teams,for
EnjuParser_R3 EnjuParser_T7 EnjuParser_T3 arg1Of teams,critical
EnjuParser_R4 EnjuParser_T7 EnjuParser_T4 arg1Of teams,care
EnjuParser_R5 EnjuParser_T4 EnjuParser_T5 arg1Of care,and
EnjuParser_R6 EnjuParser_T6 EnjuParser_T5 arg2Of anesthesiology,and
EnjuParser_R7 EnjuParser_T7 EnjuParser_T6 arg1Of teams,anesthesiology
EnjuParser_R8 EnjuParser_T1 EnjuParser_T8 arg1Of recommendations,caring
EnjuParser_R9 EnjuParser_T8 EnjuParser_T9 arg1Of caring,for
EnjuParser_R10 EnjuParser_T15 EnjuParser_T9 arg2Of patients,for
EnjuParser_R11 EnjuParser_T15 EnjuParser_T10 arg1Of patients,novel
EnjuParser_R12 EnjuParser_T15 EnjuParser_T11 arg1Of patients,coronavirus
EnjuParser_R13 EnjuParser_T15 EnjuParser_T12 arg1Of patients,(
EnjuParser_R14 EnjuParser_T13 EnjuParser_T12 arg2Of 2019-nCoV,(
EnjuParser_R15 EnjuParser_T14 EnjuParser_T12 arg3Of ),(
EnjuParser_R16 EnjuParser_T17 EnjuParser_T16 arg1Of concrètes,Directives
EnjuParser_R17 EnjuParser_T17 EnjuParser_T18 arg1Of concrètes,à
EnjuParser_R18 EnjuParser_T24 EnjuParser_T18 arg2Of intensifs,à
EnjuParser_R19 EnjuParser_T24 EnjuParser_T19 arg1Of intensifs,l’intention
EnjuParser_R20 EnjuParser_T23 EnjuParser_T20 arg1Of soins,des
EnjuParser_R21 EnjuParser_T23 EnjuParser_T21 arg1Of soins,équipes
EnjuParser_R22 EnjuParser_T23 EnjuParser_T22 arg1Of soins,de
EnjuParser_R23 EnjuParser_T24 EnjuParser_T23 arg1Of intensifs,soins
EnjuParser_R24 EnjuParser_T24 EnjuParser_T25 arg1Of intensifs,et
EnjuParser_R25 EnjuParser_T34 EnjuParser_T25 arg2Of 2019-nCoV,et
EnjuParser_R26 EnjuParser_T34 EnjuParser_T26 arg1Of 2019-nCoV,d’anesthésiologie
EnjuParser_R27 EnjuParser_T34 EnjuParser_T27 arg1Of 2019-nCoV,prenant
EnjuParser_R28 EnjuParser_T34 EnjuParser_T28 arg1Of 2019-nCoV,soin
EnjuParser_R29 EnjuParser_T34 EnjuParser_T29 arg1Of 2019-nCoV,de
EnjuParser_R30 EnjuParser_T34 EnjuParser_T30 arg1Of 2019-nCoV,patients
EnjuParser_R31 EnjuParser_T34 EnjuParser_T31 arg1Of 2019-nCoV,atteints
EnjuParser_R32 EnjuParser_T34 EnjuParser_T32 arg1Of 2019-nCoV,du
EnjuParser_R33 EnjuParser_T34 EnjuParser_T33 arg1Of 2019-nCoV,coronavirus
EnjuParser_R34 EnjuParser_T38 EnjuParser_T35 arg1Of emergency,A
EnjuParser_R35 EnjuParser_T38 EnjuParser_T36 arg1Of emergency,global
EnjuParser_R36 EnjuParser_T38 EnjuParser_T37 arg1Of emergency,health
EnjuParser_R37 EnjuParser_T38 EnjuParser_T39 arg1Of emergency,has
EnjuParser_R39 EnjuParser_T38 EnjuParser_T40 arg1Of emergency,been

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T1 0-119 DRI_Background denotes Practical recommendations for critical care and anesthesiology teams caring for novel coronavirus (2019-nCoV) patients.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 39-43 GO:0005826 denotes care
T2 69-75 GO:0005826 denotes caring

LitCovid-PubTatorCentral

Id Subject Object Predicate Lexical cue
T1 110-118 Species:9606 denotes patients

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-119 Sentence denotes Practical recommendations for critical care and anesthesiology teams caring for novel coronavirus (2019-nCoV) patients.
TextSentencer_T2 120-266 Sentence denotes Directives concrètes à l’intention des équipes de soins intensifs et d’anesthésiologie prenant soin de patients atteints du coronavirus 2019-nCoV.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-9 NNP denotes Practical
tok2 10-25 NNS denotes recommendations
tok3 26-29 IN denotes for
tok4 30-38 JJ denotes critical
tok5 39-43 NN denotes care
tok6 44-47 CC denotes and
tok7 48-62 NN denotes anesthesiology
tok8 63-68 NNS denotes teams
tok9 69-75 VBG denotes caring
tok10 76-79 IN denotes for
tok11 80-85 NN denotes novel
tok12 86-97 JJ denotes coronavirus
tok13 98-99 ( denotes (
tok14 99-103 CD denotes 2019
tok15 103-104 : denotes -
tok16 104-108 NN denotes nCoV
tok17 108-109 ) denotes )
tok18 110-118 NNS denotes patients
tok19 118-119 . denotes .
tok20 120-130 NNP denotes Directives
tok21 131-140 NNS denotes concrètes
tok22 141-142 NN denotes à
tok23 143-144 NN denotes l
tok24 144-145 NN denotes ’
tok25 145-154 NN denotes intention
tok26 155-158 NNP denotes des
tok27 159-166 NNS denotes équipes
tok28 167-169 JJ denotes de
tok29 170-175 NNS denotes soins
tok30 176-185 NNS denotes intensifs
tok31 186-188 CC denotes et
tok32 189-190 SYM denotes d
tok33 190-191 NN denotes ’
tok34 191-206 NN denotes anesthésiologie
tok35 207-214 NN denotes prenant
tok36 215-219 NN denotes soin
tok37 220-222 IN denotes de
tok38 223-231 NNS denotes patients
tok39 232-240 NNS denotes atteints
tok40 241-243 NNP denotes du
tok41 244-255 JJ denotes coronavirus
tok42 256-260 CD denotes 2019
tok43 260-261 : denotes -
tok44 261-265 NN denotes nCoV
tok45 265-266 . denotes .
tok46 267-268 DT denotes A
tok47 269-275 JJ denotes global
tok48 276-282 NN denotes health
tok49 283-292 NN denotes emergency
tok50 293-296 VBZ denotes has
tok51 297-301 VBN denotes been
lookup1 99-103 year denotes 2019
lookup2 155-158 person_first denotes des
lookup3 167-169 country_code denotes de
lookup4 167-169 surname denotes de
lookup5 186-188 country_code denotes et
lookup6 220-222 country_code denotes de
lookup7 220-222 surname denotes de
lookup8 241-243 surname denotes du
lookup9 256-260 year denotes 2019
event11 69-75 OCCURRENCE denotes caring