PubMed:32064853 / 1441-1517
Annnotations
LitCovid-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T9 | 64-68 | GO:0016265 | denotes | died |
LitCovid-PAS-Enju
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
EnjuParser_T274 | 0-1 | DT | denotes | A |
EnjuParser_T275 | 2-7 | NN | denotes | total |
EnjuParser_T276 | 8-10 | IN | denotes | of |
EnjuParser_T277 | 11-12 | CD | denotes | 1 |
EnjuParser_T278 | 13-16 | CD | denotes | 716 |
EnjuParser_T279 | 17-23 | NN | denotes | health |
EnjuParser_T280 | 24-31 | NNS | denotes | workers |
EnjuParser_T281 | 32-36 | VBP | denotes | have |
EnjuParser_T282 | 37-43 | VBN | denotes | become |
EnjuParser_T283 | 44-52 | JJ | denotes | infected |
EnjuParser_T284 | 53-56 | CC | denotes | and |
EnjuParser_T285 | 57-58 | CD | denotes | 5 |
EnjuParser_T286 | 59-63 | VBP | denotes | have |
EnjuParser_T287 | 64-68 | VBN | denotes | died |
EnjuParser_T288 | 69-70 | -LRB- | denotes | ( |
EnjuParser_T289 | 70-73 | CD | denotes | 0.3 |
EnjuParser_T290 | 73-74 | NN | denotes | % |
EnjuParser_T291 | 74-75 | -RRB- | denotes | ) |
EnjuParser_R272 | EnjuParser_T284 | EnjuParser_T274 | arg1Of | and,A |
EnjuParser_R273 | EnjuParser_T278 | EnjuParser_T276 | arg1Of | 716,of |
EnjuParser_R274 | EnjuParser_T278 | EnjuParser_T277 | arg1Of | 716,1 |
EnjuParser_R275 | EnjuParser_T280 | EnjuParser_T278 | arg1Of | workers,716 |
EnjuParser_R276 | EnjuParser_T280 | EnjuParser_T279 | arg1Of | workers,health |
EnjuParser_R277 | EnjuParser_T280 | EnjuParser_T281 | arg1Of | workers,have |
EnjuParser_R278 | EnjuParser_T282 | EnjuParser_T281 | arg2Of | become,have |
EnjuParser_R279 | EnjuParser_T280 | EnjuParser_T282 | arg1Of | workers,become |
EnjuParser_R280 | EnjuParser_T275 | EnjuParser_T282 | arg2Of | total,become |
EnjuParser_R281 | EnjuParser_T275 | EnjuParser_T283 | arg1Of | total,infected |
EnjuParser_R282 | EnjuParser_T275 | EnjuParser_T284 | arg1Of | total,and |
EnjuParser_R283 | EnjuParser_T285 | EnjuParser_T284 | arg2Of | 5,and |
EnjuParser_R284 | EnjuParser_T284 | EnjuParser_T286 | arg1Of | and,have |
EnjuParser_R285 | EnjuParser_T287 | EnjuParser_T286 | arg2Of | died,have |
EnjuParser_R286 | EnjuParser_T284 | EnjuParser_T287 | arg1Of | and,died |
EnjuParser_R287 | EnjuParser_T287 | EnjuParser_T288 | arg1Of | died,( |
EnjuParser_R288 | EnjuParser_T290 | EnjuParser_T288 | arg2Of | %,( |
EnjuParser_R289 | EnjuParser_T291 | EnjuParser_T288 | arg3Of | ),( |
EnjuParser_R290 | EnjuParser_T290 | EnjuParser_T289 | arg1Of | %,0.3 |
LitCovid-ArguminSci
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T11 | 0-76 | DRI_Background | denotes | A total of 1 716 health workers have become infected and 5 have died (0.3%). |
LitCovid-PubTatorCentral
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T6 | 44-52 | Disease:MESH:D007239 | denotes | infected |
LitCovid-sentences-v1
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
TextSentencer_T15 | 0-76 | Sentence | denotes | A total of 1 716 health workers have become infected and 5 have died (0.3%). |
LitCovid-TimeML
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
tok310 | 0-1 | DT | denotes | A |
tok311 | 2-7 | NN | denotes | total |
tok312 | 8-10 | IN | denotes | of |
tok313 | 11-12 | CD | denotes | 1 |
tok314 | 13-16 | CD | denotes | 716 |
tok315 | 17-23 | NN | denotes | health |
tok316 | 24-31 | NNS | denotes | workers |
tok317 | 32-36 | VBP | denotes | have |
tok318 | 37-43 | VBN | denotes | become |
tok319 | 44-52 | JJ | denotes | infected |
tok320 | 53-56 | CC | denotes | and |
tok321 | 57-58 | CD | denotes | 5 |
tok322 | 59-63 | VBP | denotes | have |
tok323 | 64-68 | VBN | denotes | died |
tok324 | 69-70 | ( | denotes | ( |
tok325 | 70-71 | CD | denotes | 0 |
tok326 | 71-72 | . | denotes | . |
tok327 | 72-73 | CD | denotes | 3 |
tok328 | 73-74 | NN | denotes | % |
tok329 | 74-75 | ) | denotes | ) |
tok330 | 75-76 | . | denotes | . |
lookup40 | 73-74 | percent | denotes | % |
event21 | 37-43 | OCCURRENCE | denotes | become |
event22 | 64-68 | OCCURRENCE | denotes | died |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T10 | 0-1 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
MeasurableQuantitativeAnnotation
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
E1 | 44-52 | entity | denotes | infected |
E2 | 64-68 | entity | denotes | died |
N1 | 11-16 | num | denotes | 1 716 |
N2 | 57-58 | num | denotes | 5 |
N3 | 70-73 | num | denotes | 0.3 |
U1 | 73-74 | unit | denotes | % |
R1 | E1 | N1 | associateWith | infected,1 716 |
R2 | E1 | N2 | associateWith | infected,5 |
R3 | N2 | U1 | associateOf | 5,% |
R5 | E2 | N3 | associateWith | died,0.3 |
R1 | E1 | N1 | associateWith | infected,1 716 |
R2 | N1 | U1 | associateOf | 1 716,% |
R3 | E2 | N2 | associateWith | died,5 |
R1 | E1 | N1 | associateWith | infected,1 716 |
R2 | E2 | N2 | associateWith | died,5 |
R3 | N2 | U1 | associateOf | 5,% |
R1 | E1 | N1 | associateWith | infected,1 716 |
R2 | E2 | N3 | associateWith | died,0.3 |
R3 | N3 | U1 | associateOf | 0.3,% |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
27 | 44-52 | Disease | denotes | infected | MESH:D007239 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T15 | 0-76 | Sentence | denotes | A total of 1 716 health workers have become infected and 5 have died (0.3%). |