LitCovid-TimeML  

PubMed:32238182 / 283-423 JSONTXT 13 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok59 0-3 DT denotes The
tok60 4-12 JJ denotes specific
tok61 13-22 NN denotes objective
tok62 23-25 IN denotes of
tok63 26-30 DT denotes this
lookup11 26-30 time_modifier denotes this
tok64 31-36 NN denotes study
tok65 37-40 VBD denotes was
tok66 41-43 TO denotes to
lookup12 41-43 country_code denotes to
tok67 44-52 VB denotes estimate
event5 44-52 OCCURRENCE denotes estimate
tok68 53-56 DT denotes the
tok69 57-63 JJ denotes fiscal
tok70 64-69 NN denotes value
tok71 70-72 IN denotes of
tok72 73-78 JJ denotes human
tok73 79-84 NNS denotes lives
tok74 85-89 VBD denotes lost
event14 85-89 OCCURRENCE denotes lost
tok75 90-93 JJ denotes due
tok76 94-96 TO denotes to
lookup13 94-96 country_code denotes to
tok77 97-103 NNP denotes COVID-
tok78 103-105 CD denotes 19
tok79 106-108 IN denotes in
lookup14 106-108 country_code denotes in
tok80 109-114 NNP denotes China
lookup15 109-114 location denotes China
tok81 115-117 IN denotes as
lookup16 115-117 country_code denotes as
tok82 118-120 IN denotes of
tok269 121-125 JJ denotes 24th
lookup17 123-125 country_code denotes th
tok83 126-134 NNP denotes February
lookup18 126-134 date denotes February
tok84 135-139 CD denotes 2020
lookup19 135-139 year denotes 2020
tok85 139-140 . denotes .