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PubMed:32081636 / 399-607 JSONTXT

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LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T66 0-2 IN denotes As
EnjuParser_T67 3-5 IN denotes of
EnjuParser_T68 6-8 CD denotes 11
EnjuParser_T69 9-17 NNP denotes February
EnjuParser_T70 18-22 CD denotes 2020
EnjuParser_T71 22-23 -COMMA- denotes ,
EnjuParser_T72 24-28 NNS denotes data
EnjuParser_T73 29-33 IN denotes from
EnjuParser_T74 34-37 DT denotes the
EnjuParser_T75 38-43 NNP denotes World
EnjuParser_T76 44-50 NNP denotes Health
EnjuParser_T77 51-63 NNP denotes Organization
EnjuParser_T78 64-65 -LRB- denotes (
EnjuParser_T79 65-68 WP denotes WHO
EnjuParser_T80 68-69 -RRB- denotes )
EnjuParser_T81 70-74 VBP denotes have
EnjuParser_T82 75-80 VBN denotes shown
EnjuParser_T83 81-85 IN denotes that
EnjuParser_T84 86-90 JJR denotes more
EnjuParser_T85 91-95 IN denotes than
EnjuParser_T86 96-98 CD denotes 43
EnjuParser_T87 99-102 CD denotes 000
EnjuParser_T88 103-112 VBN denotes confirmed
EnjuParser_T89 113-118 NNS denotes cases
EnjuParser_T90 119-123 VBP denotes have
EnjuParser_T91 124-128 VBN denotes been
EnjuParser_T92 129-139 VBN denotes identified
EnjuParser_T93 140-142 IN denotes in
EnjuParser_T94 143-145 CD denotes 28
EnjuParser_T95 146-163 NNS denotes countries/regions
EnjuParser_T96 163-164 -COMMA- denotes ,
EnjuParser_T97 165-169 IN denotes with
EnjuParser_T98 170-171 JJR denotes >
EnjuParser_T99 171-173 CD denotes 99
EnjuParser_T100 173-174 NN denotes %
EnjuParser_T101 175-177 IN denotes of
EnjuParser_T102 178-183 NNS denotes cases
EnjuParser_T103 184-189 VBG denotes being
EnjuParser_T104 190-198 VBN denotes detected
EnjuParser_T105 199-201 IN denotes in
EnjuParser_T106 202-208 NNP denotes China.
EnjuParser_R65 EnjuParser_T67 EnjuParser_T66 arg1Of of,As
EnjuParser_R66 EnjuParser_T82 EnjuParser_T67 arg1Of shown,of
EnjuParser_R67 EnjuParser_T69 EnjuParser_T67 arg2Of February,of
EnjuParser_R68 EnjuParser_T69 EnjuParser_T68 arg1Of February,11
EnjuParser_R69 EnjuParser_T69 EnjuParser_T70 arg1Of February,2020
EnjuParser_R70 EnjuParser_T82 EnjuParser_T71 arg1Of shown,","
EnjuParser_R71 EnjuParser_T72 EnjuParser_T73 arg1Of data,from
EnjuParser_R72 EnjuParser_T77 EnjuParser_T73 arg2Of Organization,from
EnjuParser_R73 EnjuParser_T77 EnjuParser_T74 arg1Of Organization,the
EnjuParser_R74 EnjuParser_T77 EnjuParser_T75 arg1Of Organization,World
EnjuParser_R75 EnjuParser_T77 EnjuParser_T76 arg1Of Organization,Health
EnjuParser_R76 EnjuParser_T77 EnjuParser_T78 arg1Of Organization,(
EnjuParser_R77 EnjuParser_T79 EnjuParser_T78 arg2Of WHO,(
EnjuParser_R78 EnjuParser_T80 EnjuParser_T78 arg3Of ),(
EnjuParser_R79 EnjuParser_T72 EnjuParser_T81 arg1Of data,have
EnjuParser_R80 EnjuParser_T82 EnjuParser_T81 arg2Of shown,have
EnjuParser_R81 EnjuParser_T72 EnjuParser_T82 arg1Of data,shown
EnjuParser_R82 EnjuParser_T92 EnjuParser_T82 arg2Of identified,shown
EnjuParser_R83 EnjuParser_T92 EnjuParser_T83 arg1Of identified,that
EnjuParser_R84 EnjuParser_T89 EnjuParser_T84 arg1Of cases,more
EnjuParser_R85 EnjuParser_T84 EnjuParser_T85 arg1Of more,than
EnjuParser_R86 EnjuParser_T86 EnjuParser_T85 arg2Of 43,than
EnjuParser_R87 EnjuParser_T89 EnjuParser_T87 arg1Of cases,000
EnjuParser_R88 EnjuParser_T89 EnjuParser_T88 arg2Of cases,confirmed
EnjuParser_R89 EnjuParser_T89 EnjuParser_T90 arg1Of cases,have
EnjuParser_R90 EnjuParser_T92 EnjuParser_T90 arg2Of identified,have
EnjuParser_R91 EnjuParser_T89 EnjuParser_T91 arg1Of cases,been
EnjuParser_R92 EnjuParser_T92 EnjuParser_T91 arg2Of identified,been
EnjuParser_R93 EnjuParser_T89 EnjuParser_T92 arg2Of cases,identified
EnjuParser_R94 EnjuParser_T92 EnjuParser_T93 arg1Of identified,in
EnjuParser_R95 EnjuParser_T95 EnjuParser_T93 arg2Of countries/regions,in
EnjuParser_R96 EnjuParser_T95 EnjuParser_T94 arg1Of countries/regions,28
EnjuParser_R97 EnjuParser_T92 EnjuParser_T96 arg1Of identified,","
EnjuParser_R98 EnjuParser_T92 EnjuParser_T97 arg1Of identified,with
EnjuParser_R99 EnjuParser_T100 EnjuParser_T97 arg2Of %,with
EnjuParser_R100 EnjuParser_T99 EnjuParser_T98 arg1Of 99,>
EnjuParser_R101 EnjuParser_T100 EnjuParser_T99 arg1Of %,99
EnjuParser_R102 EnjuParser_T100 EnjuParser_T101 arg1Of %,of
EnjuParser_R103 EnjuParser_T102 EnjuParser_T101 arg2Of cases,of
EnjuParser_R104 EnjuParser_T102 EnjuParser_T103 arg1Of cases,being
EnjuParser_R105 EnjuParser_T104 EnjuParser_T103 arg2Of detected,being
EnjuParser_R106 EnjuParser_T102 EnjuParser_T104 arg2Of cases,detected
EnjuParser_R107 EnjuParser_T104 EnjuParser_T105 arg1Of detected,in

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T3 0-208 DRI_Outcome denotes As of 11 February 2020, data from the World Health Organization (WHO) have shown that more than 43 000 confirmed cases have been identified in 28 countries/regions, with >99% of cases being detected in China.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 184-189 SO:0000999 denotes being

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T4 0-208 Sentence denotes As of 11 February 2020, data from the World Health Organization (WHO) have shown that more than 43 000 confirmed cases have been identified in 28 countries/regions, with >99% of cases being detected in China.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok76 0-2 IN denotes As
tok77 3-5 IN denotes of
tok78 6-8 CD denotes 11
tok79 9-17 NNP denotes February
tok80 18-22 CD denotes 2020
tok81 22-23 , denotes ,
tok82 24-28 NNS denotes data
tok83 29-33 IN denotes from
tok84 34-37 DT denotes the
tok85 38-43 NNP denotes World
tok86 44-50 NNP denotes Health
tok87 51-63 NNP denotes Organization
tok88 64-65 ( denotes (
tok89 65-68 WP denotes WHO
tok90 68-69 ) denotes )
tok91 70-74 VBP denotes have
tok92 75-80 VBN denotes shown
tok93 81-85 IN denotes that
tok94 86-90 JJR denotes more
tok95 91-95 IN denotes than
tok96 96-98 CD denotes 43
tok97 99-102 CD denotes 000
tok98 103-112 VBD denotes confirmed
tok99 113-118 NNS denotes cases
tok100 119-123 VBP denotes have
tok101 124-128 VBN denotes been
tok102 129-139 VBN denotes identified
tok103 140-142 IN denotes in
tok104 143-145 CD denotes 28
tok105 146-155 NNS denotes countries
tok106 155-156 NN denotes /
tok107 156-163 NNS denotes regions
tok108 163-164 , denotes ,
tok109 165-169 IN denotes with
tok110 170-171 NN denotes >
tok111 171-173 CD denotes 99
tok112 173-174 NN denotes %
tok113 175-177 IN denotes of
tok114 178-183 NNS denotes cases
tok115 184-189 VBG denotes being
tok116 190-198 VBN denotes detected
tok117 199-201 IN denotes in
tok118 202-207 NNP denotes China
tok119 207-208 . denotes .
lookup9 9-17 date denotes February
lookup10 18-22 year denotes 2020
lookup11 38-63 organization denotes World Health Organization
lookup12 51-63 org_key denotes Organization
lookup13 140-142 country_code denotes in
lookup14 173-174 percent denotes %
lookup15 199-201 country_code denotes in
lookup16 202-207 location denotes China
event1 129-139 OCCURRENCE denotes identified
event3 75-80 REPORTING denotes shown
event9 190-198 OCCURRENCE denotes detected