LitCovid-TimeML  

PubMed:32110742 / 1272-1510 JSONTXT 4 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok210 0-4 RB denotes Here
lookup43 0-4 stop denotes Here
tok211 4-5 , denotes ,
tok212 6-8 PRP denotes we
tok213 9-16 VBP denotes provide
event5 9-16 OCCURRENCE denotes provide
tok214 17-18 CD denotes 5
tok215 18-19 , denotes ,
tok216 20-22 CD denotes 10
tok217 22-23 , denotes ,
tok218 24-27 CC denotes and
tok219 28-30 CD denotes 15
tok220 31-34 NN denotes day
lookup44 31-34 date_unit denotes day
tok221 35-44 NNS denotes forecasts
tok222 45-48 IN denotes for
tok223 49-53 CD denotes five
lookup45 49-53 time denotes five
lookup46 49-53 number denotes five
tok224 54-65 JJ denotes consecutive
tok225 66-70 NNS denotes days
lookup47 66-70 date_unit denotes days
tok226 70-71 , denotes ,
tok227 72-80 NNP denotes February
lookup48 72-80 date denotes February
tok417 81-84 JJ denotes 5th
lookup49 82-84 country_code denotes th
tok228 85-92 IN denotes through
tok229 93-101 NNP denotes February
lookup50 93-101 date denotes February
tok418 102-105 CD denotes 9th
lookup51 103-105 country_code denotes th
tok230 105-106 , denotes ,
tok231 107-111 IN denotes with
tok232 112-122 VBN denotes quantified
tok233 123-134 NN denotes uncertainty
tok234 135-140 VBN denotes based
tok235 141-143 IN denotes on
tok236 144-145 DT denotes a
tok237 146-157 JJ denotes generalized
tok238 158-166 JJ denotes logistic
tok239 167-173 NN denotes growth
tok240 174-179 NN denotes model
lookup52 174-179 jobtitle denotes model
tok241 179-180 , denotes ,
tok242 181-184 DT denotes the
tok243 185-193 NNP denotes Richards
tok244 194-200 NN denotes growth
tok245 201-206 NN denotes model
lookup53 201-206 jobtitle denotes model
tok246 206-207 , denotes ,
tok247 208-211 CC denotes and
tok248 212-213 DT denotes a
tok249 214-226 JJ denotes sub-epidemic
tok250 227-231 NN denotes wave
tok251 232-237 NN denotes model
lookup54 232-237 jobtitle denotes model
tok252 237-238 . denotes .