PubMed:32171192 / 0-99
Annnotations
LitCovid-PAS-Enju
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| EnjuParser_T0 | 0-1 | -LRB- | denotes | [ |
| EnjuParser_T1 | 1-16 | JJ | denotes | Epidemiological |
| EnjuParser_T2 | 17-32 | NNS | denotes | characteristics |
| EnjuParser_T3 | 33-35 | IN | denotes | of |
| EnjuParser_T4 | 36-40 | CD | denotes | 2019 |
| EnjuParser_T5 | 41-46 | JJ | denotes | novel |
| EnjuParser_T6 | 47-58 | NN | denotes | coronavirus |
| EnjuParser_T7 | 59-65 | NN | denotes | family |
| EnjuParser_T8 | 66-76 | NN | denotes | clustering |
| EnjuParser_T9 | 77-79 | IN | denotes | in |
| EnjuParser_T10 | 80-88 | NNP | denotes | Zhejiang |
| EnjuParser_T11 | 89-97 | NNP | denotes | Province |
| EnjuParser_T12 | 97-98 | -RRB- | denotes | ] |
| EnjuParser_R0 | EnjuParser_T2 | EnjuParser_T0 | arg1Of | characteristics,[ |
| EnjuParser_R1 | EnjuParser_T2 | EnjuParser_T1 | arg1Of | characteristics,Epidemiological |
| EnjuParser_R2 | EnjuParser_T2 | EnjuParser_T3 | arg1Of | characteristics,of |
| EnjuParser_R3 | EnjuParser_T8 | EnjuParser_T3 | arg2Of | clustering,of |
| EnjuParser_R4 | EnjuParser_T8 | EnjuParser_T4 | arg1Of | clustering,2019 |
| EnjuParser_R5 | EnjuParser_T8 | EnjuParser_T5 | arg1Of | clustering,novel |
| EnjuParser_R6 | EnjuParser_T8 | EnjuParser_T6 | arg1Of | clustering,coronavirus |
| EnjuParser_R7 | EnjuParser_T8 | EnjuParser_T7 | arg1Of | clustering,family |
| EnjuParser_R8 | EnjuParser_T8 | EnjuParser_T9 | arg1Of | clustering,in |
| EnjuParser_R9 | EnjuParser_T11 | EnjuParser_T9 | arg2Of | Province,in |
| EnjuParser_R10 | EnjuParser_T11 | EnjuParser_T10 | arg1Of | Province,Zhejiang |
| EnjuParser_R11 | EnjuParser_T8 | EnjuParser_T12 | arg1Of | clustering,] |
LitCovid-ArguminSci
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T1 | 0-99 | DRI_Background | denotes | [Epidemiological characteristics of 2019 novel coronavirus family clustering in Zhejiang Province]. |
LitCovid-OGER-BB
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T1 | 47-58 | NCBITaxon:11118 | denotes | coronavirus |
LitCovid-sentences-v1
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| TextSentencer_T1 | 0-99 | Sentence | denotes | [Epidemiological characteristics of 2019 novel coronavirus family clustering in Zhejiang Province]. |
LitCovid-TimeML
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| tok1 | 0-1 | NN | denotes | [ |
| tok2 | 1-16 | NNP | denotes | Epidemiological |
| tok3 | 17-32 | NNS | denotes | characteristics |
| tok4 | 33-35 | IN | denotes | of |
| tok5 | 36-40 | CD | denotes | 2019 |
| tok6 | 41-46 | NN | denotes | novel |
| tok7 | 47-58 | JJ | denotes | coronavirus |
| tok8 | 59-65 | NN | denotes | family |
| tok9 | 66-76 | VBG | denotes | clustering |
| tok10 | 77-79 | IN | denotes | in |
| tok11 | 80-88 | NNP | denotes | Zhejiang |
| tok12 | 89-97 | NNP | denotes | Province |
| tok13 | 97-98 | NN | denotes | ] |
| tok14 | 98-99 | . | denotes | . |
| lookup1 | 36-40 | year | denotes | 2019 |
| lookup2 | 77-79 | country_code | denotes | in |
| lookup3 | 80-88 | location | denotes | Zhejiang |
| lookup4 | 89-97 | loc_key | denotes | Province |
| event8 | 66-76 | OCCURRENCE | denotes | clustering |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T1 | 0-99 | Sentence | denotes | [Epidemiological characteristics of 2019 novel coronavirus family clustering in Zhejiang Province]. |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 1 | 36-58 | Disease | denotes | 2019 novel coronavirus | MESH:C000657245 |