> top > docs > PubMed:32019667 > annotations

PubMed:32019667 JSONTXT

Annnotations TAB JSON ListView MergeView

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 18-19 -LRB- denotes (
EnjuParser_T3 19-28 NN denotes 2019-nCoV
EnjuParser_T4 28-29 -RRB- denotes )
EnjuParser_T5 30-41 JJ denotes early-stage
EnjuParser_T6 42-53 NN denotes importation
EnjuParser_T7 54-58 NN denotes risk
EnjuParser_T8 59-61 TO denotes to
EnjuParser_T9 62-68 NNP denotes Europe
EnjuParser_T10 68-69 -COMMA- denotes ,
EnjuParser_T11 70-77 NNP denotes January
EnjuParser_T12 78-82 CD denotes 2020
EnjuParser_T13 84-86 IN denotes As
EnjuParser_T14 87-89 IN denotes at
EnjuParser_T15 90-92 CD denotes 27
EnjuParser_T16 93-100 NNP denotes January
EnjuParser_T17 101-105 CD denotes 2020
EnjuParser_T18 105-106 -COMMA- denotes ,
EnjuParser_T19 107-109 CD denotes 42
EnjuParser_T20 110-115 JJ denotes novel
EnjuParser_T21 116-127 NN denotes coronavirus
EnjuParser_T22 128-129 -LRB- denotes (
EnjuParser_T23 129-138 NN denotes 2019-nCoV
EnjuParser_T24 138-139 -RRB- denotes )
EnjuParser_T25 140-145 NNS denotes cases
EnjuParser_T26 146-150 VBD denotes were
EnjuParser_T27 151-160 VBN denotes confirmed
EnjuParser_T28 161-168 IN denotes outside
EnjuParser_T29 169-175 NNP denotes China.
EnjuParser_T30 176-178 PRP denotes We
EnjuParser_T31 179-187 VBP denotes estimate
EnjuParser_T32 188-191 DT denotes the
EnjuParser_T33 192-196 NN denotes risk
EnjuParser_T34 197-199 IN denotes of
EnjuParser_T35 200-204 NN denotes case
EnjuParser_T36 205-216 NN denotes importation
EnjuParser_T37 217-219 TO denotes to
EnjuParser_T38 220-226 NNP denotes Europe
EnjuParser_T39 227-231 IN denotes from
EnjuParser_T40 232-240 VBN denotes affected
EnjuParser_T41 241-246 NNS denotes areas
EnjuParser_T42 247-249 IN denotes in
EnjuParser_T43 250-255 NNP denotes China
EnjuParser_T44 256-259 IN denotes via
EnjuParser_T45 260-263 NN denotes air
EnjuParser_T46 264-270 NN denotes travel
EnjuParser_T47 272-274 PRP denotes We
EnjuParser_T48 275-283 VBP denotes consider
EnjuParser_T49 284-290 NN denotes travel
EnjuParser_T50 291-303 NNS denotes restrictions
EnjuParser_T51 304-306 IN denotes in
EnjuParser_T52 307-312 NN denotes place
EnjuParser_T53 312-313 -COMMA- denotes ,
EnjuParser_T54 314-319 CD denotes three
EnjuParser_T55 320-328 VBN denotes reported
EnjuParser_T56 329-334 NNS denotes cases
EnjuParser_T57 335-337 IN denotes in
EnjuParser_T58 338-344 NNP denotes France
EnjuParser_T59 344-345 -COMMA- denotes ,
EnjuParser_T60 346-349 CD denotes one
EnjuParser_T61 350-352 IN denotes in
EnjuParser_T62 353-361 NNP denotes Germany.
EnjuParser_T63 362-371 NNP denotes Estimated
EnjuParser_T64 372-376 NN denotes risk
EnjuParser_T65 377-379 IN denotes in
EnjuParser_T66 380-386 NNP denotes Europe
EnjuParser_T67 387-394 VBZ denotes remains
EnjuParser_T68 395-399 JJ denotes high
EnjuParser_T69 401-404 DT denotes The
EnjuParser_T70 405-411 NNP denotes United
EnjuParser_T71 412-419 NNP denotes Kingdom
EnjuParser_T72 419-420 -COMMA- denotes ,
EnjuParser_T73 421-428 NNP denotes Germany
EnjuParser_T74 429-432 CC denotes and
EnjuParser_T75 433-439 NNP denotes France
EnjuParser_T76 440-443 VBP denotes are
EnjuParser_T77 444-446 IN denotes at
EnjuParser_T78 447-454 JJS denotes highest
EnjuParser_T79 455-459 NN denotes risk
EnjuParser_T80 461-472 NN denotes Importation
EnjuParser_T81 473-477 IN denotes from
EnjuParser_T82 478-485 NNP denotes Beijing
EnjuParser_T83 486-489 CC denotes and
EnjuParser_T84 490-498 NNP denotes Shanghai
EnjuParser_T85 499-504 MD denotes would
EnjuParser_T86 505-509 VB denotes lead
EnjuParser_T87 510-512 TO denotes to
EnjuParser_T88 513-519 JJR denotes higher
EnjuParser_T89 520-523 CC denotes and
EnjuParser_T90 524-534 JJ denotes widespread
EnjuParser_T91 535-539 NN denotes risk
EnjuParser_T92 540-543 IN denotes for
EnjuParser_T93 544-550 NNP denotes Europe
EnjuParser_R0 EnjuParser_T7 EnjuParser_T0 arg1Of risk,Novel
EnjuParser_R1 EnjuParser_T7 EnjuParser_T1 arg1Of risk,coronavirus
EnjuParser_R2 EnjuParser_T7 EnjuParser_T2 arg1Of risk,(
EnjuParser_R3 EnjuParser_T3 EnjuParser_T2 arg2Of 2019-nCoV,(
EnjuParser_R4 EnjuParser_T4 EnjuParser_T2 arg3Of ),(
EnjuParser_R5 EnjuParser_T7 EnjuParser_T5 arg1Of risk,early-stage
EnjuParser_R6 EnjuParser_T7 EnjuParser_T6 arg1Of risk,importation
EnjuParser_R7 EnjuParser_T7 EnjuParser_T8 arg1Of risk,to
EnjuParser_R8 EnjuParser_T9 EnjuParser_T8 arg2Of Europe,to
EnjuParser_R9 EnjuParser_T9 EnjuParser_T10 arg1Of Europe,","
EnjuParser_R10 EnjuParser_T11 EnjuParser_T10 arg2Of January,","
EnjuParser_R11 EnjuParser_T11 EnjuParser_T12 arg1Of January,2020
EnjuParser_R12 EnjuParser_T14 EnjuParser_T13 arg1Of at,As
EnjuParser_R13 EnjuParser_T31 EnjuParser_T14 arg1Of estimate,at
EnjuParser_R14 EnjuParser_T16 EnjuParser_T14 arg2Of January,at
EnjuParser_R15 EnjuParser_T16 EnjuParser_T15 arg1Of January,27
EnjuParser_R16 EnjuParser_T16 EnjuParser_T17 arg1Of January,2020
EnjuParser_R17 EnjuParser_T31 EnjuParser_T18 arg1Of estimate,","
EnjuParser_R18 EnjuParser_T25 EnjuParser_T19 arg1Of cases,42
EnjuParser_R19 EnjuParser_T25 EnjuParser_T20 arg1Of cases,novel
EnjuParser_R20 EnjuParser_T25 EnjuParser_T21 arg1Of cases,coronavirus
EnjuParser_R21 EnjuParser_T25 EnjuParser_T22 arg1Of cases,(
EnjuParser_R22 EnjuParser_T23 EnjuParser_T22 arg2Of 2019-nCoV,(
EnjuParser_R23 EnjuParser_T24 EnjuParser_T22 arg3Of ),(
EnjuParser_R24 EnjuParser_T25 EnjuParser_T26 arg1Of cases,were
EnjuParser_R25 EnjuParser_T27 EnjuParser_T26 arg2Of confirmed,were
EnjuParser_R26 EnjuParser_T31 EnjuParser_T26 modOf estimate,were
EnjuParser_R27 EnjuParser_T25 EnjuParser_T27 arg2Of cases,confirmed
EnjuParser_R28 EnjuParser_T27 EnjuParser_T28 arg1Of confirmed,outside
EnjuParser_R29 EnjuParser_T29 EnjuParser_T28 arg2Of China.,outside
EnjuParser_R30 EnjuParser_T30 EnjuParser_T31 arg1Of We,estimate
EnjuParser_R31 EnjuParser_T33 EnjuParser_T31 arg2Of risk,estimate
EnjuParser_R32 EnjuParser_T33 EnjuParser_T32 arg1Of risk,the
EnjuParser_R33 EnjuParser_T33 EnjuParser_T34 arg1Of risk,of
EnjuParser_R34 EnjuParser_T36 EnjuParser_T34 arg2Of importation,of
EnjuParser_R35 EnjuParser_T36 EnjuParser_T35 arg1Of importation,case
EnjuParser_R36 EnjuParser_T33 EnjuParser_T37 arg1Of risk,to
EnjuParser_R37 EnjuParser_T38 EnjuParser_T37 arg2Of Europe,to
EnjuParser_R38 EnjuParser_T31 EnjuParser_T39 arg1Of estimate,from
EnjuParser_R39 EnjuParser_T41 EnjuParser_T39 arg2Of areas,from
EnjuParser_R40 EnjuParser_T41 EnjuParser_T40 arg2Of areas,affected
EnjuParser_R41 EnjuParser_T41 EnjuParser_T42 arg1Of areas,in
EnjuParser_R42 EnjuParser_T43 EnjuParser_T42 arg2Of China,in
EnjuParser_R43 EnjuParser_T31 EnjuParser_T44 arg1Of estimate,via
EnjuParser_R44 EnjuParser_T46 EnjuParser_T44 arg2Of travel,via
EnjuParser_R45 EnjuParser_T46 EnjuParser_T45 arg1Of travel,air
EnjuParser_R46 EnjuParser_T47 EnjuParser_T48 arg1Of We,consider
EnjuParser_R47 EnjuParser_T53 EnjuParser_T48 arg2Of ",",consider
EnjuParser_R48 EnjuParser_T67 EnjuParser_T48 arg3Of remains,consider
EnjuParser_R49 EnjuParser_T50 EnjuParser_T49 arg1Of restrictions,travel
EnjuParser_R50 EnjuParser_T50 EnjuParser_T51 arg1Of restrictions,in
EnjuParser_R51 EnjuParser_T52 EnjuParser_T51 arg2Of place,in
EnjuParser_R52 EnjuParser_T50 EnjuParser_T53 arg1Of restrictions,","
EnjuParser_R53 EnjuParser_T56 EnjuParser_T53 arg2Of cases,","
EnjuParser_R54 EnjuParser_T56 EnjuParser_T54 arg1Of cases,three
EnjuParser_R55 EnjuParser_T56 EnjuParser_T55 arg2Of cases,reported
EnjuParser_R56 EnjuParser_T56 EnjuParser_T57 arg1Of cases,in
EnjuParser_R57 EnjuParser_T58 EnjuParser_T57 arg2Of France,in
EnjuParser_R58 EnjuParser_T53 EnjuParser_T59 arg1Of ",",","
EnjuParser_R59 EnjuParser_T60 EnjuParser_T59 arg2Of one,","
EnjuParser_R60 EnjuParser_T60 EnjuParser_T61 arg1Of one,in
EnjuParser_R61 EnjuParser_T64 EnjuParser_T61 arg2Of risk,in
EnjuParser_R62 EnjuParser_T63 EnjuParser_T62 arg1Of Estimated,Germany.
EnjuParser_R63 EnjuParser_T64 EnjuParser_T63 arg1Of risk,Estimated
EnjuParser_R64 EnjuParser_T64 EnjuParser_T65 arg1Of risk,in
EnjuParser_R65 EnjuParser_T66 EnjuParser_T65 arg2Of Europe,in
EnjuParser_R66 EnjuParser_T53 EnjuParser_T67 arg1Of ",",remains
EnjuParser_R67 EnjuParser_T68 EnjuParser_T67 arg2Of high,remains
EnjuParser_R68 EnjuParser_T53 EnjuParser_T68 arg1Of ",",high
EnjuParser_R69 EnjuParser_T74 EnjuParser_T69 arg1Of and,The
EnjuParser_R70 EnjuParser_T71 EnjuParser_T70 arg1Of Kingdom,United
EnjuParser_R71 EnjuParser_T71 EnjuParser_T72 arg1Of Kingdom,","
EnjuParser_R72 EnjuParser_T73 EnjuParser_T72 arg2Of Germany,","
EnjuParser_R73 EnjuParser_T72 EnjuParser_T74 arg1Of ",",and
EnjuParser_R74 EnjuParser_T75 EnjuParser_T74 arg2Of France,and
EnjuParser_R75 EnjuParser_T74 EnjuParser_T76 arg1Of and,are
EnjuParser_R76 EnjuParser_T77 EnjuParser_T76 arg2Of at,are
EnjuParser_R77 EnjuParser_T74 EnjuParser_T77 arg1Of and,at
EnjuParser_R78 EnjuParser_T79 EnjuParser_T77 arg2Of risk,at
EnjuParser_R79 EnjuParser_T79 EnjuParser_T78 arg1Of risk,highest
EnjuParser_R80 EnjuParser_T80 EnjuParser_T81 arg1Of Importation,from
EnjuParser_R81 EnjuParser_T83 EnjuParser_T81 arg2Of and,from
EnjuParser_R82 EnjuParser_T82 EnjuParser_T83 arg1Of Beijing,and
EnjuParser_R83 EnjuParser_T84 EnjuParser_T83 arg2Of Shanghai,and
EnjuParser_R84 EnjuParser_T80 EnjuParser_T85 arg1Of Importation,would
EnjuParser_R85 EnjuParser_T86 EnjuParser_T85 arg2Of lead,would
EnjuParser_R86 EnjuParser_T80 EnjuParser_T86 arg1Of Importation,lead
EnjuParser_R87 EnjuParser_T86 EnjuParser_T87 arg1Of lead,to
EnjuParser_R88 EnjuParser_T91 EnjuParser_T87 arg2Of risk,to
EnjuParser_R89 EnjuParser_T91 EnjuParser_T88 arg1Of risk,higher
EnjuParser_R90 EnjuParser_T88 EnjuParser_T89 arg1Of higher,and
EnjuParser_R91 EnjuParser_T90 EnjuParser_T89 arg2Of widespread,and
EnjuParser_R92 EnjuParser_T91 EnjuParser_T90 arg1Of risk,widespread
EnjuParser_R93 EnjuParser_T91 EnjuParser_T92 arg1Of risk,for
EnjuParser_R94 EnjuParser_T93 EnjuParser_T92 arg2Of Europe,for

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T1 0-83 DRI_Background denotes Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020.
T2 84-175 DRI_Background denotes As at 27 January 2020, 42 novel coronavirus (2019-nCoV) cases were confirmed outside China.
T3 176-271 DRI_Approach denotes We estimate the risk of case importation to Europe from affected areas in China via air travel.
T4 272-361 DRI_Approach denotes We consider travel restrictions in place, three reported cases in France, one in Germany.
T5 362-400 DRI_Background denotes Estimated risk in Europe remains high.
T6 401-460 DRI_Approach denotes The United Kingdom, Germany and France are at highest risk.
T7 461-551 DRI_Background denotes Importation from Beijing and Shanghai would lead to higher and widespread risk for Europe.

LitCovid-OGER

Id Subject Object Predicate Lexical cue
T1 505-509 CHEBI:27889 denotes lead
T1 260-263 PR:000022063 denotes air
T1 440-443 SO:0001853 denotes are

LitCovid-OGER-BB

Id Subject Object Predicate Lexical cue
T1 6-17 NCBITaxon:11118 denotes coronavirus
T2 19-28 SP_7 denotes 2019-nCoV
T3 42-53 GO:0051170 denotes importation
T4 116-127 NCBITaxon:11118 denotes coronavirus
T5 129-138 SP_7 denotes 2019-nCoV

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T1 0-83 Sentence denotes Novel coronavirus (2019-nCoV) early-stage importation risk to Europe, January 2020.
TextSentencer_T2 84-175 Sentence denotes As at 27 January 2020, 42 novel coronavirus (2019-nCoV) cases were confirmed outside China.
TextSentencer_T3 176-271 Sentence denotes We estimate the risk of case importation to Europe from affected areas in China via air travel.
TextSentencer_T4 272-361 Sentence denotes We consider travel restrictions in place, three reported cases in France, one in Germany.
TextSentencer_T5 362-400 Sentence denotes Estimated risk in Europe remains high.
TextSentencer_T6 401-460 Sentence denotes The United Kingdom, Germany and France are at highest risk.
TextSentencer_T7 461-551 Sentence denotes Importation from Beijing and Shanghai would lead to higher and widespread risk for Europe.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok1 0-5 NNP denotes Novel
tok2 6-17 JJ denotes coronavirus
tok3 18-19 ( denotes (
tok4 19-23 CD denotes 2019
tok5 23-24 : denotes -
tok6 24-28 NN denotes nCoV
tok7 28-29 ) denotes )
tok8 30-41 JJ denotes early-stage
tok9 42-53 NN denotes importation
tok10 54-58 NN denotes risk
tok11 59-61 TO denotes to
tok12 62-68 NNP denotes Europe
tok13 68-69 , denotes ,
tok14 70-77 NNP denotes January
tok15 78-82 CD denotes 2020
tok16 82-83 . denotes .
tok17 84-86 IN denotes As
tok18 87-89 IN denotes at
tok19 90-92 CD denotes 27
tok20 93-100 NNP denotes January
tok21 101-105 CD denotes 2020
tok22 105-106 , denotes ,
tok23 107-109 CD denotes 42
tok24 110-115 NN denotes novel
tok25 116-127 JJ denotes coronavirus
tok26 128-129 ( denotes (
tok27 129-133 CD denotes 2019
tok28 133-134 : denotes -
tok29 134-138 NN denotes nCoV
tok30 138-139 ) denotes )
tok31 140-145 NNS denotes cases
tok32 146-150 VBD denotes were
tok33 151-160 VBN denotes confirmed
tok34 161-168 IN denotes outside
tok35 169-174 NNP denotes China
tok36 174-175 . denotes .
tok37 176-178 PRP denotes We
tok38 179-187 VBP denotes estimate
tok39 188-191 DT denotes the
tok40 192-196 NN denotes risk
tok41 197-199 IN denotes of
tok42 200-204 NN denotes case
tok43 205-216 NN denotes importation
tok44 217-219 TO denotes to
tok45 220-226 NNP denotes Europe
tok46 227-231 IN denotes from
tok47 232-240 VBN denotes affected
tok48 241-246 NNS denotes areas
tok49 247-249 IN denotes in
tok50 250-255 NNP denotes China
tok51 256-259 IN denotes via
tok52 260-263 NN denotes air
tok53 264-270 NN denotes travel
tok54 270-271 . denotes .
tok55 272-274 PRP denotes We
tok56 275-283 VBP denotes consider
tok57 284-290 NN denotes travel
tok58 291-303 NNS denotes restrictions
tok59 304-306 IN denotes in
tok60 307-312 NN denotes place
tok61 312-313 , denotes ,
tok62 314-319 CD denotes three
tok63 320-328 VBD denotes reported
tok64 329-334 NNS denotes cases
tok65 335-337 IN denotes in
tok66 338-344 NNP denotes France
tok67 344-345 , denotes ,
tok68 346-349 CD denotes one
tok69 350-352 IN denotes in
tok70 353-360 NNP denotes Germany
tok71 360-361 . denotes .
tok72 362-371 VBN denotes Estimated
tok73 372-376 NN denotes risk
tok74 377-379 IN denotes in
tok75 380-386 NNP denotes Europe
tok76 387-394 VBZ denotes remains
tok77 395-399 JJ denotes high
tok78 399-400 . denotes .
tok79 401-404 DT denotes The
tok80 405-411 NNP denotes United
tok81 412-419 NNP denotes Kingdom
tok82 419-420 , denotes ,
tok83 421-428 NNP denotes Germany
tok84 429-432 CC denotes and
tok85 433-439 NNP denotes France
tok86 440-443 VBP denotes are
tok87 444-446 IN denotes at
tok88 447-454 JJS denotes highest
tok89 455-459 NN denotes risk
tok90 459-460 . denotes .
tok91 461-472 NNP denotes Importation
tok92 473-477 IN denotes from
tok93 478-485 NNP denotes Beijing
tok94 486-489 CC denotes and
tok95 490-498 NNP denotes Shanghai
tok96 499-504 MD denotes would
tok97 505-509 VB denotes lead
tok98 510-512 TO denotes to
tok99 513-519 JJR denotes higher
tok100 520-523 CC denotes and
tok101 524-534 JJ denotes widespread
tok102 535-539 NN denotes risk
tok103 540-543 IN denotes for
tok104 544-550 NNP denotes Europe
tok105 550-551 . denotes .
lookup1 19-23 year denotes 2019
lookup2 59-61 country_code denotes to
lookup3 62-68 location denotes Europe
lookup4 70-77 date denotes January
lookup5 78-82 year denotes 2020
lookup6 87-89 country_code denotes at
lookup7 93-100 date denotes January
lookup8 101-105 year denotes 2020
lookup9 129-133 year denotes 2019
lookup10 169-174 location denotes China
lookup11 176-178 stop denotes We
lookup12 217-219 country_code denotes to
lookup13 220-226 location denotes Europe
lookup14 247-249 country_code denotes in
lookup15 250-255 location denotes China
lookup16 272-274 stop denotes We
lookup17 304-306 country_code denotes in
lookup18 314-319 time denotes three
lookup19 314-319 number denotes three
lookup20 335-337 country_code denotes in
lookup21 338-344 location denotes France
lookup22 346-349 time denotes one
lookup23 346-349 number denotes one
lookup24 350-352 country_code denotes in
lookup25 353-360 location denotes Germany
lookup26 377-379 country_code denotes in
lookup27 380-386 location denotes Europe
lookup28 405-419 location denotes United Kingdom
lookup29 421-428 location denotes Germany
lookup30 433-439 location denotes France
lookup31 444-446 country_code denotes at
lookup32 478-485 location denotes Beijing
lookup33 490-498 location denotes Shanghai
lookup34 510-512 country_code denotes to
lookup35 544-550 location denotes Europe
event1 232-240 OCCURRENCE denotes affected
event2 320-328 REPORTING denotes reported
event3 151-160 OCCURRENCE denotes confirmed
event4 505-509 OCCURRENCE denotes lead
event5 275-283 I_STATE denotes consider
event6 179-187 I_STATE denotes estimate

MeasurableQuantitativeAnnotation

Id Subject Object Predicate Lexical cue
E1 151-160 entity denotes confirmed
N1 107-109 num denotes 42
R1 E1 N1 associateWith confirmed,42