PubMed:31996494 / 65-217
Annnotations
LitCovid-PAS-Enju
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
EnjuParser_T10 | 0-2 | IN | denotes | As |
EnjuParser_T11 | 3-5 | IN | denotes | of |
EnjuParser_T12 | 6-13 | NNP | denotes | January |
EnjuParser_T13 | 14-16 | CD | denotes | 22 |
EnjuParser_T14 | 16-17 | -COMMA- | denotes | , |
EnjuParser_T15 | 18-22 | CD | denotes | 2020 |
EnjuParser_T16 | 22-23 | -COMMA- | denotes | , |
EnjuParser_T17 | 24-25 | DT | denotes | a |
EnjuParser_T18 | 26-31 | NN | denotes | total |
EnjuParser_T19 | 32-34 | IN | denotes | of |
EnjuParser_T20 | 35-38 | CD | denotes | 571 |
EnjuParser_T21 | 39-44 | NNS | denotes | cases |
EnjuParser_T22 | 45-47 | IN | denotes | of |
EnjuParser_T23 | 48-51 | DT | denotes | the |
EnjuParser_T24 | 52-60 | JJ | denotes | 2019-new |
EnjuParser_T25 | 61-72 | NN | denotes | coronavirus |
EnjuParser_T26 | 73-74 | -LRB- | denotes | ( |
EnjuParser_T27 | 74-83 | NN | denotes | 2019-nCoV |
EnjuParser_T28 | 83-84 | -RRB- | denotes | ) |
EnjuParser_T29 | 85-89 | VBP | denotes | have |
EnjuParser_T30 | 90-94 | VBN | denotes | been |
EnjuParser_T31 | 95-103 | VBN | denotes | reported |
EnjuParser_T32 | 104-106 | IN | denotes | in |
EnjuParser_T33 | 107-109 | CD | denotes | 25 |
EnjuParser_T34 | 110-119 | NNS | denotes | provinces |
EnjuParser_T35 | 120-121 | -LRB- | denotes | ( |
EnjuParser_T36 | 121-130 | NNS | denotes | districts |
EnjuParser_T37 | 131-134 | CC | denotes | and |
EnjuParser_T38 | 135-141 | NNS | denotes | cities |
EnjuParser_T39 | 141-142 | -RRB- | denotes | ) |
EnjuParser_T40 | 143-145 | IN | denotes | in |
EnjuParser_T41 | 146-152 | NNP | denotes | China. |
EnjuParser_R9 | EnjuParser_T11 | EnjuParser_T10 | arg1Of | of,As |
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 |
LitCovid-ArguminSci
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 0-152 | 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-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T5 | 61-72 | NCBITaxon:11118 | denotes | coronavirus |
T6 | 74-83 | SP_7 | denotes | 2019-nCoV |
LitCovid-sentences-v1
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
TextSentencer_T2 | 0-152 | 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 |
---|---|---|---|---|
tok16 | 0-2 | IN | denotes | As |
tok17 | 3-5 | IN | denotes | of |
tok18 | 6-13 | NNP | denotes | January |
tok19 | 14-16 | CD | denotes | 22 |
tok20 | 16-17 | , | denotes | , |
tok21 | 18-22 | CD | denotes | 2020 |
tok22 | 22-23 | , | denotes | , |
tok23 | 24-25 | DT | denotes | a |
tok24 | 26-31 | NN | denotes | total |
tok25 | 32-34 | IN | denotes | of |
tok26 | 35-38 | CD | denotes | 571 |
tok27 | 39-44 | NNS | denotes | cases |
tok28 | 45-47 | IN | denotes | of |
tok29 | 48-51 | DT | denotes | the |
tok30 | 52-56 | CD | denotes | 2019 |
tok31 | 56-57 | : | denotes | - |
tok32 | 57-60 | JJ | denotes | new |
tok33 | 61-72 | JJ | denotes | coronavirus |
tok34 | 73-74 | ( | denotes | ( |
tok35 | 74-78 | CD | denotes | 2019 |
tok36 | 78-79 | : | denotes | - |
tok37 | 79-83 | NN | denotes | nCoV |
tok38 | 83-84 | ) | denotes | ) |
tok39 | 85-89 | VBP | denotes | have |
tok40 | 90-94 | VBN | denotes | been |
tok41 | 95-103 | VBN | denotes | reported |
tok42 | 104-106 | IN | denotes | in |
tok43 | 107-109 | CD | denotes | 25 |
tok44 | 110-119 | NNS | denotes | provinces |
tok45 | 120-121 | ( | denotes | ( |
tok46 | 121-130 | NNS | denotes | districts |
tok47 | 131-134 | CC | denotes | and |
tok48 | 135-141 | NNS | denotes | cities |
tok49 | 141-142 | ) | denotes | ) |
tok50 | 143-145 | IN | denotes | in |
tok51 | 146-151 | NNP | denotes | China |
tok52 | 151-152 | . | denotes | . |
lookup3 | 6-13 | date | denotes | January |
lookup4 | 18-22 | year | denotes | 2020 |
lookup5 | 52-56 | year | denotes | 2019 |
lookup6 | 74-78 | year | denotes | 2019 |
lookup7 | 104-106 | country_code | denotes | in |
lookup8 | 143-145 | country_code | denotes | in |
lookup9 | 146-151 | location | denotes | China |
event1 | 95-103 | REPORTING | denotes | reported |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 14-16 | http://purl.obolibrary.org/obo/CLO_0050507 | denotes | 22 |
T2 | 24-25 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
19 | 52-72 | Species | denotes | 2019-new coronavirus | Tax:2697049 |
20 | 74-83 | Species | denotes | 2019-nCoV | Tax:2697049 |
Inflammaging
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T2 | 0-152 | 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. |
T2 | 0-152 | 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 |
---|---|---|---|---|
T2 | 0-152 | 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. |