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PubMed:31996494 / 0-389 JSONTXT

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LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-4 NN denotes Drug
EnjuParser_T1 5-14 NN denotes treatment
EnjuParser_T2 15-22 NNS denotes options
EnjuParser_T3 23-26 IN denotes for
EnjuParser_T4 27-30 DT denotes the
EnjuParser_T5 31-39 JJ denotes 2019-new
EnjuParser_T6 40-51 NN denotes coronavirus
EnjuParser_T7 52-53 -LRB- denotes (
EnjuParser_T8 53-62 NN denotes 2019-nCoV
EnjuParser_T9 62-63 -RRB- denotes )
EnjuParser_T10 65-67 IN denotes As
EnjuParser_T11 68-70 IN denotes of
EnjuParser_T12 71-78 NNP denotes January
EnjuParser_T13 79-81 CD denotes 22
EnjuParser_T14 81-82 -COMMA- denotes ,
EnjuParser_T15 83-87 CD denotes 2020
EnjuParser_T16 87-88 -COMMA- denotes ,
EnjuParser_T17 89-90 DT denotes a
EnjuParser_T18 91-96 NN denotes total
EnjuParser_T19 97-99 IN denotes of
EnjuParser_T20 100-103 CD denotes 571
EnjuParser_T21 104-109 NNS denotes cases
EnjuParser_T22 110-112 IN denotes of
EnjuParser_T23 113-116 DT denotes the
EnjuParser_T24 117-125 JJ denotes 2019-new
EnjuParser_T25 126-137 NN denotes coronavirus
EnjuParser_T26 138-139 -LRB- denotes (
EnjuParser_T27 139-148 NN denotes 2019-nCoV
EnjuParser_T28 148-149 -RRB- denotes )
EnjuParser_T29 150-154 VBP denotes have
EnjuParser_T30 155-159 VBN denotes been
EnjuParser_T31 160-168 VBN denotes reported
EnjuParser_T32 169-171 IN denotes in
EnjuParser_T33 172-174 CD denotes 25
EnjuParser_T34 175-184 NNS denotes provinces
EnjuParser_T35 185-186 -LRB- denotes (
EnjuParser_T36 186-195 NNS denotes districts
EnjuParser_T37 196-199 CC denotes and
EnjuParser_T38 200-206 NNS denotes cities
EnjuParser_T39 206-207 -RRB- denotes )
EnjuParser_T40 208-210 IN denotes in
EnjuParser_T41 211-217 NNP denotes China.
EnjuParser_T42 218-220 IN denotes At
EnjuParser_T43 221-228 NN denotes present
EnjuParser_T44 228-229 -COMMA- denotes ,
EnjuParser_T45 230-235 EX denotes there
EnjuParser_T46 236-238 VBZ denotes is
EnjuParser_T47 239-241 DT denotes no
EnjuParser_T48 242-249 NN denotes vaccine
EnjuParser_T49 250-252 CC denotes or
EnjuParser_T50 253-262 JJ denotes antiviral
EnjuParser_T51 263-272 NN denotes treatment
EnjuParser_T52 273-276 IN denotes for
EnjuParser_T53 277-282 JJ denotes human
EnjuParser_T54 283-286 CC denotes and
EnjuParser_T55 287-293 NN denotes animal
EnjuParser_T56 294-305 NN denotes coronavirus
EnjuParser_T57 305-306 -COMMA- denotes ,
EnjuParser_T58 307-309 IN denotes so
EnjuParser_T59 310-314 IN denotes that
EnjuParser_T60 315-326 VBG denotes identifying
EnjuParser_T61 327-330 DT denotes the
EnjuParser_T62 331-335 NN denotes drug
EnjuParser_T63 336-345 NN denotes treatment
EnjuParser_T64 346-353 NNS denotes options
EnjuParser_T65 354-356 RB denotes as
EnjuParser_T66 357-361 RB denotes soon
EnjuParser_T67 362-364 IN denotes as
EnjuParser_T68 365-373 JJ denotes possible
EnjuParser_T69 374-376 VBZ denotes is
EnjuParser_T70 377-385 JJ denotes critical
EnjuParser_T71 386-389 IN denotes for
EnjuParser_R0 EnjuParser_T2 EnjuParser_T0 arg1Of options,Drug
EnjuParser_R1 EnjuParser_T2 EnjuParser_T1 arg1Of options,treatment
EnjuParser_R2 EnjuParser_T2 EnjuParser_T3 arg1Of options,for
EnjuParser_R3 EnjuParser_T6 EnjuParser_T3 arg2Of coronavirus,for
EnjuParser_R4 EnjuParser_T6 EnjuParser_T4 arg1Of coronavirus,the
EnjuParser_R5 EnjuParser_T6 EnjuParser_T5 arg1Of coronavirus,2019-new
EnjuParser_R6 EnjuParser_T6 EnjuParser_T7 arg1Of coronavirus,(
EnjuParser_R7 EnjuParser_T8 EnjuParser_T7 arg2Of 2019-nCoV,(
EnjuParser_R8 EnjuParser_T9 EnjuParser_T7 arg3Of ),(
EnjuParser_R9 EnjuParser_T11 EnjuParser_T10 arg1Of of,As
EnjuParser_R10 EnjuParser_T46 EnjuParser_T11 arg1Of is,of
EnjuParser_R11 EnjuParser_T14 EnjuParser_T11 arg2Of ",",of
EnjuParser_R12 EnjuParser_T12 EnjuParser_T13 arg1Of January,22
EnjuParser_R13 EnjuParser_T12 EnjuParser_T14 arg1Of January,","
EnjuParser_R14 EnjuParser_T15 EnjuParser_T14 arg2Of 2020,","
EnjuParser_R15 EnjuParser_T31 EnjuParser_T16 arg1Of reported,","
EnjuParser_R16 EnjuParser_T18 EnjuParser_T17 arg1Of total,a
EnjuParser_R17 EnjuParser_T18 EnjuParser_T19 arg1Of total,of
EnjuParser_R18 EnjuParser_T21 EnjuParser_T19 arg2Of cases,of
EnjuParser_R19 EnjuParser_T21 EnjuParser_T20 arg1Of cases,571
EnjuParser_R20 EnjuParser_T21 EnjuParser_T22 arg1Of cases,of
EnjuParser_R21 EnjuParser_T25 EnjuParser_T22 arg2Of coronavirus,of
EnjuParser_R22 EnjuParser_T25 EnjuParser_T23 arg1Of coronavirus,the
EnjuParser_R23 EnjuParser_T25 EnjuParser_T24 arg1Of coronavirus,2019-new
EnjuParser_R24 EnjuParser_T25 EnjuParser_T26 arg1Of coronavirus,(
EnjuParser_R25 EnjuParser_T27 EnjuParser_T26 arg2Of 2019-nCoV,(
EnjuParser_R26 EnjuParser_T28 EnjuParser_T26 arg3Of ),(
EnjuParser_R27 EnjuParser_T18 EnjuParser_T29 arg1Of total,have
EnjuParser_R28 EnjuParser_T31 EnjuParser_T29 arg2Of reported,have
EnjuParser_R29 EnjuParser_T14 EnjuParser_T29 modOf ",",have
EnjuParser_R30 EnjuParser_T18 EnjuParser_T30 arg1Of total,been
EnjuParser_R31 EnjuParser_T31 EnjuParser_T30 arg2Of reported,been
EnjuParser_R32 EnjuParser_T18 EnjuParser_T31 arg2Of total,reported
EnjuParser_R33 EnjuParser_T31 EnjuParser_T32 arg1Of reported,in
EnjuParser_R34 EnjuParser_T34 EnjuParser_T32 arg2Of provinces,in
EnjuParser_R35 EnjuParser_T34 EnjuParser_T33 arg1Of provinces,25
EnjuParser_R36 EnjuParser_T34 EnjuParser_T35 arg1Of provinces,(
EnjuParser_R37 EnjuParser_T37 EnjuParser_T35 arg2Of and,(
EnjuParser_R38 EnjuParser_T39 EnjuParser_T35 arg3Of ),(
EnjuParser_R39 EnjuParser_T36 EnjuParser_T37 arg1Of districts,and
EnjuParser_R40 EnjuParser_T38 EnjuParser_T37 arg2Of cities,and
EnjuParser_R41 EnjuParser_T34 EnjuParser_T40 arg1Of provinces,in
EnjuParser_R42 EnjuParser_T41 EnjuParser_T40 arg2Of China.,in
EnjuParser_R43 EnjuParser_T31 EnjuParser_T42 arg1Of reported,At
EnjuParser_R44 EnjuParser_T43 EnjuParser_T42 arg2Of present,At
EnjuParser_R45 EnjuParser_T46 EnjuParser_T44 arg1Of is,","
EnjuParser_R46 EnjuParser_T45 EnjuParser_T46 arg1Of there,is
EnjuParser_R47 EnjuParser_T49 EnjuParser_T46 arg2Of or,is
EnjuParser_R48 EnjuParser_T49 EnjuParser_T47 arg1Of or,no
EnjuParser_R49 EnjuParser_T48 EnjuParser_T49 arg1Of vaccine,or
EnjuParser_R50 EnjuParser_T51 EnjuParser_T49 arg2Of treatment,or
EnjuParser_R51 EnjuParser_T51 EnjuParser_T50 arg1Of treatment,antiviral
EnjuParser_R52 EnjuParser_T49 EnjuParser_T52 arg1Of or,for
EnjuParser_R53 EnjuParser_T56 EnjuParser_T52 arg2Of coronavirus,for
EnjuParser_R54 EnjuParser_T56 EnjuParser_T53 arg1Of coronavirus,human
EnjuParser_R55 EnjuParser_T56 EnjuParser_T54 arg1Of coronavirus,and
EnjuParser_R56 EnjuParser_T56 EnjuParser_T55 arg1Of coronavirus,animal
EnjuParser_R57 EnjuParser_T46 EnjuParser_T57 arg1Of is,","
EnjuParser_R58 EnjuParser_T46 EnjuParser_T58 arg1Of is,so
EnjuParser_R59 EnjuParser_T69 EnjuParser_T58 arg2Of is,so
EnjuParser_R60 EnjuParser_T58 EnjuParser_T59 arg1Of so,that
EnjuParser_R61 EnjuParser_T64 EnjuParser_T60 arg2Of options,identifying
EnjuParser_R62 EnjuParser_T64 EnjuParser_T61 arg1Of options,the
EnjuParser_R63 EnjuParser_T64 EnjuParser_T62 arg1Of options,drug
EnjuParser_R64 EnjuParser_T64 EnjuParser_T63 arg1Of options,treatment
EnjuParser_R65 EnjuParser_T66 EnjuParser_T65 arg1Of soon,as
EnjuParser_R66 EnjuParser_T60 EnjuParser_T66 arg1Of identifying,soon
EnjuParser_R67 EnjuParser_T66 EnjuParser_T67 arg1Of soon,as
EnjuParser_R68 EnjuParser_T68 EnjuParser_T67 arg2Of possible,as
EnjuParser_R69 EnjuParser_T60 EnjuParser_T69 arg1Of identifying,is
EnjuParser_R70 EnjuParser_T70 EnjuParser_T69 arg2Of critical,is
EnjuParser_R71 EnjuParser_T60 EnjuParser_T70 arg1Of identifying,critical
EnjuParser_R72 EnjuParser_T70 EnjuParser_T71 arg1Of critical,for

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T1 65-217 DRI_Outcome denotes As of January 22, 2020, a total of 571 cases of the 2019-new coronavirus (2019-nCoV) have been reported in 25 provinces (districts and cities) in China.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 331-335 CHEBI:23888 denotes drug

testproj

Id Subject Object Predicate Lexical cue
Virus_SARS-CoV-2 53-62 n/a denotes 2019-nCoV
Virus_SARS-CoV-2 53-62 n/a denotes 2019-nCoV

LitCovid-PubTatorCentral

Id Subject Object Predicate Lexical cue
T1 277-282 Species:9606 denotes human

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 0-4 CHEBI:23888 denotes Drug
T2 0-4 CHEBI:23888 denotes Drug
T3 40-51 NCBITaxon:11118 denotes coronavirus
T4 53-62 SP_7 denotes 2019-nCoV
T5 126-137 NCBITaxon:11118 denotes coronavirus
T6 139-148 SP_7 denotes 2019-nCoV
T7 277-282 SP_6 denotes human
T8 277-282 NCBITaxon:9606 denotes human
T9 287-293 NCBITaxon:33208 denotes animal
T10 294-305 NCBITaxon:11118 denotes coronavirus
T11 331-335 CHEBI:23888 denotes drug
T12 331-335 CHEBI:23888 denotes drug

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-64 Sentence denotes Drug treatment options for the 2019-new coronavirus (2019-nCoV).
TextSentencer_T2 65-217 Sentence denotes As of January 22, 2020, a total of 571 cases of the 2019-new coronavirus (2019-nCoV) have been reported in 25 provinces (districts and cities) in China.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-4 NN denotes Drug
tok2 5-14 NN denotes treatment
tok3 15-22 NNS denotes options
tok4 23-26 IN denotes for
tok5 27-30 DT denotes the
tok6 31-35 CD denotes 2019
tok7 35-36 : denotes -
tok8 36-39 JJ denotes new
tok9 40-51 JJ denotes coronavirus
tok10 52-53 ( denotes (
tok11 53-57 CD denotes 2019
tok12 57-58 : denotes -
tok13 58-62 NN denotes nCoV
tok14 62-63 ) denotes )
tok15 63-64 . denotes .
tok16 65-67 IN denotes As
tok17 68-70 IN denotes of
tok18 71-78 NNP denotes January
tok19 79-81 CD denotes 22
tok20 81-82 , denotes ,
tok21 83-87 CD denotes 2020
tok22 87-88 , denotes ,
tok23 89-90 DT denotes a
tok24 91-96 NN denotes total
tok25 97-99 IN denotes of
tok26 100-103 CD denotes 571
tok27 104-109 NNS denotes cases
tok28 110-112 IN denotes of
tok29 113-116 DT denotes the
tok30 117-121 CD denotes 2019
tok31 121-122 : denotes -
tok32 122-125 JJ denotes new
tok33 126-137 JJ denotes coronavirus
tok34 138-139 ( denotes (
tok35 139-143 CD denotes 2019
tok36 143-144 : denotes -
tok37 144-148 NN denotes nCoV
tok38 148-149 ) denotes )
tok39 150-154 VBP denotes have
tok40 155-159 VBN denotes been
tok41 160-168 VBN denotes reported
tok42 169-171 IN denotes in
tok43 172-174 CD denotes 25
tok44 175-184 NNS denotes provinces
tok45 185-186 ( denotes (
tok46 186-195 NNS denotes districts
tok47 196-199 CC denotes and
tok48 200-206 NNS denotes cities
tok49 206-207 ) denotes )
tok50 208-210 IN denotes in
tok51 211-216 NNP denotes China
tok52 216-217 . denotes .
tok53 218-220 IN denotes At
tok54 221-228 JJ denotes present
tok55 228-229 , denotes ,
tok56 230-235 EX denotes there
tok57 236-238 VBZ denotes is
tok58 239-241 DT denotes no
tok59 242-249 NN denotes vaccine
tok60 250-252 CC denotes or
tok61 253-262 JJ denotes antiviral
tok62 263-272 NN denotes treatment
tok63 273-276 IN denotes for
tok64 277-282 NN denotes human
tok65 283-286 CC denotes and
tok66 287-293 NN denotes animal
tok67 294-305 JJ denotes coronavirus
tok68 305-306 , denotes ,
tok69 307-309 IN denotes so
tok70 310-314 IN denotes that
tok71 315-326 VBG denotes identifying
tok72 327-330 DT denotes the
tok73 331-335 NN denotes drug
tok74 336-345 NN denotes treatment
tok75 346-353 NNS denotes options
tok76 354-356 RB denotes as
tok77 357-361 RB denotes soon
tok78 362-364 IN denotes as
tok79 365-373 JJ denotes possible
tok80 374-376 VBZ denotes is
tok81 377-385 JJ denotes critical
tok82 386-389 IN denotes for
lookup1 31-35 year denotes 2019
lookup2 53-57 year denotes 2019
lookup3 71-78 date denotes January
lookup4 83-87 year denotes 2020
lookup5 117-121 year denotes 2019
lookup6 139-143 year denotes 2019
lookup7 169-171 country_code denotes in
lookup8 208-210 country_code denotes in
lookup9 211-216 location denotes China
lookup10 236-238 country_code denotes is
lookup11 239-241 country_code denotes no
lookup12 307-309 country_code denotes so
lookup13 354-356 country_code denotes as
lookup14 362-364 country_code denotes as
lookup15 374-376 country_code denotes is
event1 160-168 REPORTING denotes reported
event3 315-326 OCCURRENCE denotes identifying

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 79-81 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T2 89-90 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 277-282 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T4 287-293 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animal

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 253-262 Chemical denotes antiviral http://purl.obolibrary.org/obo/CHEBI_22587
T2 331-335 Chemical denotes drug http://purl.obolibrary.org/obo/CHEBI_23888

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 31-51 Species denotes 2019-new coronavirus Tax:2697049
3 53-62 Species denotes 2019-nCoV Tax:2697049
19 117-137 Species denotes 2019-new coronavirus Tax:2697049
20 139-148 Species denotes 2019-nCoV Tax:2697049
21 277-282 Species denotes human Tax:9606
22 294-305 Species denotes coronavirus Tax:11118

Inflammaging

Id Subject Object Predicate Lexical cue
T1 0-64 Sentence denotes Drug treatment options for the 2019-new coronavirus (2019-nCoV).
T2 65-217 Sentence denotes As of January 22, 2020, a total of 571 cases of the 2019-new coronavirus (2019-nCoV) have been reported in 25 provinces (districts and cities) in China.
T1 0-64 Sentence denotes Drug treatment options for the 2019-new coronavirus (2019-nCoV).
T2 65-217 Sentence denotes As of January 22, 2020, a total of 571 cases of the 2019-new coronavirus (2019-nCoV) have been reported in 25 provinces (districts and cities) in China.

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-64 Sentence denotes Drug treatment options for the 2019-new coronavirus (2019-nCoV).
T2 65-217 Sentence denotes As of January 22, 2020, a total of 571 cases of the 2019-new coronavirus (2019-nCoV) have been reported in 25 provinces (districts and cities) in China.