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LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T0 0-5 JJ denotes Novel
EnjuParser_T1 6-17 NN denotes coronavirus
EnjuParser_T2 17-18 -COLON- denotes :
EnjuParser_T3 19-23 IN denotes From
EnjuParser_T4 24-33 NN denotes discovery
EnjuParser_T5 34-36 TO denotes to
EnjuParser_T6 37-45 JJ denotes clinical
EnjuParser_T7 46-57 NNS denotes diagnostics
EnjuParser_T8 59-60 DT denotes A
EnjuParser_T9 61-66 JJ denotes novel
EnjuParser_T10 67-78 NN denotes coronavirus
EnjuParser_T11 79-89 VBN denotes designated
EnjuParser_T12 90-92 IN denotes as
EnjuParser_T13 93-102 NN denotes 2019-nCoV
EnjuParser_T14 103-108 RB denotes first
EnjuParser_T15 109-117 VBD denotes appeared
EnjuParser_T16 118-120 IN denotes in
EnjuParser_T17 121-126 NNP denotes Wuhan
EnjuParser_T18 126-127 -COMMA- denotes ,
EnjuParser_T19 128-133 NNP denotes China
EnjuParser_T20 134-136 IN denotes in
EnjuParser_T21 137-141 JJ denotes late
EnjuParser_T22 142-150 NNP denotes December
EnjuParser_T23 151-155 CD denotes 2019
EnjuParser_T24 157-163 NNS denotes Dozens
EnjuParser_T25 164-166 IN denotes of
EnjuParser_T26 167-173 NNS denotes people
EnjuParser_T27 174-178 VBD denotes died
EnjuParser_T28 179-181 IN denotes in
EnjuParser_T29 182-187 NNP denotes China
EnjuParser_T30 187-188 -COMMA- denotes ,
EnjuParser_T31 189-192 CC denotes and
EnjuParser_T32 193-202 NNS denotes thousands
EnjuParser_T33 203-205 IN denotes of
EnjuParser_T34 206-212 NNS denotes people
EnjuParser_T35 213-221 VBN denotes infected
EnjuParser_T36 222-224 IN denotes as
EnjuParser_T37 225-234 NN denotes 2019-nCoV
EnjuParser_T38 235-244 VBZ denotes continues
EnjuParser_T39 245-247 TO denotes to
EnjuParser_T40 248-254 VB denotes spread
EnjuParser_T41 255-261 IN denotes around
EnjuParser_T42 262-265 DT denotes the
EnjuParser_T43 266-271 NN denotes world
EnjuParser_T44 273-275 PRP denotes We
EnjuParser_T45 276-280 VBP denotes have
EnjuParser_T46 281-290 VBN denotes described
EnjuParser_T47 291-294 DT denotes the
EnjuParser_T48 295-304 NN denotes discovery
EnjuParser_T49 304-305 -COMMA- denotes ,
EnjuParser_T50 306-315 NN denotes emergence
EnjuParser_T51 315-316 -COMMA- denotes ,
EnjuParser_T52 317-324 JJ denotes genomic
EnjuParser_T53 325-340 NNS denotes characteristics
EnjuParser_T54 340-341 -COMMA- denotes ,
EnjuParser_T55 342-345 CC denotes and
EnjuParser_T56 346-354 JJ denotes clinical
EnjuParser_T57 355-366 NNS denotes diagnostics
EnjuParser_T58 367-369 IN denotes of
EnjuParser_T59 370-379 NN denotes 2019-nCoV
EnjuParser_R0 EnjuParser_T1 EnjuParser_T0 arg1Of coronavirus,Novel
EnjuParser_R1 EnjuParser_T1 EnjuParser_T2 arg1Of coronavirus,:
EnjuParser_R2 EnjuParser_T4 EnjuParser_T3 arg1Of discovery,From
EnjuParser_R3 EnjuParser_T4 EnjuParser_T5 arg1Of discovery,to
EnjuParser_R4 EnjuParser_T7 EnjuParser_T5 arg2Of diagnostics,to
EnjuParser_R5 EnjuParser_T7 EnjuParser_T6 arg1Of diagnostics,clinical
EnjuParser_R6 EnjuParser_T10 EnjuParser_T8 arg1Of coronavirus,A
EnjuParser_R7 EnjuParser_T10 EnjuParser_T9 arg1Of coronavirus,novel
EnjuParser_R8 EnjuParser_T10 EnjuParser_T11 arg2Of coronavirus,designated
EnjuParser_R9 EnjuParser_T11 EnjuParser_T12 arg1Of designated,as
EnjuParser_R10 EnjuParser_T13 EnjuParser_T12 arg2Of 2019-nCoV,as
EnjuParser_R11 EnjuParser_T15 EnjuParser_T14 arg1Of appeared,first
EnjuParser_R12 EnjuParser_T10 EnjuParser_T15 arg1Of coronavirus,appeared
EnjuParser_R13 EnjuParser_T15 EnjuParser_T16 arg1Of appeared,in
EnjuParser_R14 EnjuParser_T17 EnjuParser_T16 arg2Of Wuhan,in
EnjuParser_R15 EnjuParser_T17 EnjuParser_T18 arg1Of Wuhan,","
EnjuParser_R16 EnjuParser_T19 EnjuParser_T18 arg2Of China,","
EnjuParser_R17 EnjuParser_T15 EnjuParser_T20 arg1Of appeared,in
EnjuParser_R18 EnjuParser_T22 EnjuParser_T20 arg2Of December,in
EnjuParser_R19 EnjuParser_T22 EnjuParser_T21 arg1Of December,late
EnjuParser_R20 EnjuParser_T22 EnjuParser_T23 arg1Of December,2019
EnjuParser_R21 EnjuParser_T24 EnjuParser_T25 arg1Of Dozens,of
EnjuParser_R22 EnjuParser_T26 EnjuParser_T25 arg2Of people,of
EnjuParser_R23 EnjuParser_T24 EnjuParser_T27 arg1Of Dozens,died
EnjuParser_R24 EnjuParser_T27 EnjuParser_T28 arg1Of died,in
EnjuParser_R25 EnjuParser_T29 EnjuParser_T28 arg2Of China,in
EnjuParser_R26 EnjuParser_T31 EnjuParser_T30 arg1Of and,","
EnjuParser_R27 EnjuParser_T27 EnjuParser_T31 arg1Of died,and
EnjuParser_R28 EnjuParser_T38 EnjuParser_T31 arg2Of continues,and
EnjuParser_R29 EnjuParser_T32 EnjuParser_T33 arg1Of thousands,of
EnjuParser_R30 EnjuParser_T34 EnjuParser_T33 arg2Of people,of
EnjuParser_R31 EnjuParser_T34 EnjuParser_T35 arg2Of people,infected
EnjuParser_R32 EnjuParser_T35 EnjuParser_T36 arg1Of infected,as
EnjuParser_R33 EnjuParser_T37 EnjuParser_T36 arg2Of 2019-nCoV,as
EnjuParser_R34 EnjuParser_T32 EnjuParser_T38 arg1Of thousands,continues
EnjuParser_R35 EnjuParser_T40 EnjuParser_T38 arg2Of spread,continues
EnjuParser_R36 EnjuParser_T40 EnjuParser_T39 arg1Of spread,to
EnjuParser_R37 EnjuParser_T32 EnjuParser_T40 arg1Of thousands,spread
EnjuParser_R38 EnjuParser_T40 EnjuParser_T41 arg1Of spread,around
EnjuParser_R39 EnjuParser_T43 EnjuParser_T41 arg2Of world,around
EnjuParser_R40 EnjuParser_T43 EnjuParser_T42 arg1Of world,the
EnjuParser_R41 EnjuParser_T44 EnjuParser_T45 arg1Of We,have
EnjuParser_R42 EnjuParser_T46 EnjuParser_T45 arg2Of described,have
EnjuParser_R43 EnjuParser_T44 EnjuParser_T46 arg1Of We,described
EnjuParser_R44 EnjuParser_T55 EnjuParser_T46 arg2Of and,described
EnjuParser_R45 EnjuParser_T48 EnjuParser_T47 arg1Of discovery,the
EnjuParser_R46 EnjuParser_T48 EnjuParser_T49 arg1Of discovery,","
EnjuParser_R47 EnjuParser_T50 EnjuParser_T49 arg2Of emergence,","
EnjuParser_R48 EnjuParser_T48 EnjuParser_T51 arg1Of discovery,","
EnjuParser_R49 EnjuParser_T53 EnjuParser_T51 arg2Of characteristics,","
EnjuParser_R50 EnjuParser_T53 EnjuParser_T52 arg1Of characteristics,genomic
EnjuParser_R51 EnjuParser_T55 EnjuParser_T54 arg1Of and,","
EnjuParser_R52 EnjuParser_T51 EnjuParser_T55 arg1Of ",",and
EnjuParser_R53 EnjuParser_T57 EnjuParser_T55 arg2Of diagnostics,and
EnjuParser_R54 EnjuParser_T57 EnjuParser_T56 arg1Of diagnostics,clinical
EnjuParser_R55 EnjuParser_T57 EnjuParser_T58 arg1Of diagnostics,of
EnjuParser_R56 EnjuParser_T59 EnjuParser_T58 arg2Of 2019-nCoV,of

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T1 0-58 DRI_Background denotes Novel coronavirus: From discovery to clinical diagnostics.
T2 59-156 DRI_Background denotes A novel coronavirus designated as 2019-nCoV first appeared in Wuhan, China in late December 2019.
T3 157-272 DRI_Background denotes Dozens of people died in China, and thousands of people infected as 2019-nCoV continues to spread around the world.
T4 273-380 DRI_Approach denotes We have described the discovery, emergence, genomic characteristics, and clinical diagnostics of 2019-nCoV.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 317-324 SO:0001026 denotes genomic

LitCovid-PubTatorCentral

Id Subject Object Predicate Lexical cue
T1 167-173 Species:9606 denotes people
T2 206-212 Species:9606 denotes people

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 6-17 NCBITaxon:11118 denotes coronavirus
T2 67-78 NCBITaxon:11118 denotes coronavirus
T3 93-102 SP_7 denotes 2019-nCoV
T4 167-173 NCBITaxon:9606 denotes people
T5 174-178 GO:0016265 denotes died
T6 206-212 NCBITaxon:9606 denotes people
T7 225-234 SP_7 denotes 2019-nCoV
T8 317-324 SO:0001026 denotes genomic
T9 370-379 SP_7 denotes 2019-nCoV

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-18 Sentence denotes Novel coronavirus:
TextSentencer_T2 19-58 Sentence denotes From discovery to clinical diagnostics.
TextSentencer_T3 59-156 Sentence denotes A novel coronavirus designated as 2019-nCoV first appeared in Wuhan, China in late December 2019.
TextSentencer_T4 157-272 Sentence denotes Dozens of people died in China, and thousands of people infected as 2019-nCoV continues to spread around the world.
TextSentencer_T5 273-380 Sentence denotes We have described the discovery, emergence, genomic characteristics, and clinical diagnostics of 2019-nCoV.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-5 NNP denotes Novel
tok2 6-17 JJ denotes coronavirus
tok3 17-18 : denotes :
tok4 19-23 IN denotes From
tok5 24-33 NN denotes discovery
tok6 34-36 TO denotes to
tok7 37-45 JJ denotes clinical
tok8 46-57 NNS denotes diagnostics
tok9 57-58 . denotes .
tok10 59-60 DT denotes A
tok11 61-66 NN denotes novel
tok12 67-78 JJ denotes coronavirus
tok13 79-89 VBN denotes designated
tok14 90-92 IN denotes as
tok15 93-97 CD denotes 2019
tok16 97-98 : denotes -
tok17 98-102 NN denotes nCoV
tok18 103-108 RB denotes first
tok19 109-117 VBD denotes appeared
tok20 118-120 IN denotes in
tok21 121-126 NNP denotes Wuhan
tok22 126-127 , denotes ,
tok23 128-133 NNP denotes China
tok24 134-136 IN denotes in
tok25 137-141 JJ denotes late
tok26 142-150 NNP denotes December
tok27 151-155 CD denotes 2019
tok28 155-156 . denotes .
tok29 157-163 NNS denotes Dozens
tok30 164-166 IN denotes of
tok31 167-173 NNS denotes people
tok32 174-178 VBD denotes died
tok33 179-181 IN denotes in
tok34 182-187 NNP denotes China
tok35 187-188 , denotes ,
tok36 189-192 CC denotes and
tok37 193-202 NNS denotes thousands
tok38 203-205 IN denotes of
tok39 206-212 NNS denotes people
tok40 213-221 VBN denotes infected
tok41 222-224 IN denotes as
tok42 225-229 CD denotes 2019
tok43 229-230 : denotes -
tok44 230-234 NN denotes nCoV
tok45 235-244 VBZ denotes continues
tok46 245-247 TO denotes to
tok47 248-254 VB denotes spread
tok48 255-261 IN denotes around
tok49 262-265 DT denotes the
tok50 266-271 NN denotes world
tok51 271-272 . denotes .
tok52 273-275 PRP denotes We
tok53 276-280 VBP denotes have
tok54 281-290 VBN denotes described
tok55 291-294 DT denotes the
tok56 295-304 NN denotes discovery
tok57 304-305 , denotes ,
tok58 306-315 NN denotes emergence
tok59 315-316 , denotes ,
tok60 317-324 JJ denotes genomic
tok61 325-340 NNS denotes characteristics
tok62 340-341 , denotes ,
tok63 342-345 CC denotes and
tok64 346-354 JJ denotes clinical
tok65 355-366 NNS denotes diagnostics
tok66 367-369 IN denotes of
tok67 370-374 CD denotes 2019
tok68 374-375 : denotes -
tok69 375-379 NN denotes nCoV
tok70 379-380 . denotes .
lookup1 19-23 stop denotes From
lookup2 34-36 country_code denotes to
lookup3 90-92 country_code denotes as
lookup4 93-97 year denotes 2019
lookup5 103-108 date denotes first
lookup6 118-120 country_code denotes in
lookup7 121-126 location denotes Wuhan
lookup8 128-133 location denotes China
lookup9 134-136 country_code denotes in
lookup10 142-150 date denotes December
lookup11 151-155 year denotes 2019
lookup12 179-181 country_code denotes in
lookup13 182-187 location denotes China
lookup14 222-224 country_code denotes as
lookup15 225-229 year denotes 2019
lookup16 245-247 country_code denotes to
lookup17 273-275 stop denotes We
lookup18 370-374 year denotes 2019
event1 79-89 OCCURRENCE denotes designated
event2 109-117 OCCURRENCE denotes appeared
event3 281-290 OCCURRENCE denotes described
event4 248-254 OCCURRENCE denotes spread
event5 213-221 OCCURRENCE denotes infected
event6 174-178 OCCURRENCE denotes died
event7 235-244 ASPECTUAL denotes continues