LitCovid-TimeML  

PubMed:32238216 / 0-282 JSONTXT 7 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok1 0-11 NN denotes Forecasting
tok2 12-15 DT denotes the
tok3 16-26 NNP denotes Cumulative
tok4 27-33 NNP denotes Number
tok5 34-36 IN denotes of
tok6 37-43 NNP denotes COVID-
tok7 43-45 CD denotes 19
tok8 46-52 NNP denotes Deaths
tok9 53-55 IN denotes in
lookup1 53-55 country_code denotes in
tok10 56-61 NNP denotes China
lookup2 56-61 location denotes China
tok11 61-62 : denotes :
tok12 63-64 DT denotes a
tok13 65-74 NNP denotes Boltzmann
tok14 75-89 NNP denotes Function-based
tok15 90-98 NNP denotes Modeling
tok16 99-104 NNP denotes Study
tok17 104-105 . denotes .
tok18 106-109 DT denotes The
tok19 110-116 NNP denotes COVID-
tok20 116-118 CD denotes 19
tok21 119-127 NN denotes outbreak
tok22 128-130 VBZ denotes is
lookup3 128-130 country_code denotes is
tok23 131-139 JJ denotes on-going
tok24 140-142 IN denotes in
lookup4 140-142 country_code denotes in
tok25 143-148 NNP denotes China
lookup5 143-148 location denotes China
tok26 148-149 . denotes .
tok27 150-154 RB denotes Here
lookup6 150-154 stop denotes Here
tok28 155-164 NNP denotes Boltzmann
tok29 165-179 JJ denotes function-based
tok30 180-188 NNS denotes analyses
tok31 189-195 VBP denotes reveal
tok32 196-199 DT denotes the
tok33 200-209 JJ denotes potential
tok34 210-215 JJ denotes total
tok35 216-223 NNS denotes numbers
tok36 224-226 IN denotes of
tok37 227-233 NNP denotes COVID-
tok38 233-235 CD denotes 19
tok39 236-242 NNS denotes deaths
tok40 243-245 IN denotes in
lookup7 243-245 country_code denotes in
tok41 246-251 NNP denotes China
lookup8 246-251 location denotes China
tok42 251-252 , denotes ,
tok43 253-258 NNP denotes Hubei
lookup9 253-258 location denotes Hubei
tok44 259-267 NNP denotes Province
lookup10 259-267 loc_key denotes Province
tok45 267-268 , denotes ,
tok46 269-276 IN denotes outside
tok47 277-282 NNP denotes Hubei
lookup11 277-282 location denotes Hubei