LitCovid-TimeML  

PubMed:31967327 / 73-304 JSONTXT 11 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok12 0-3 DT denotes The
tok13 4-10 JJ denotes recent
tok14 11-20 NN denotes emergence
tok15 21-23 IN denotes of
tok16 24-25 DT denotes a
tok17 26-31 NN denotes novel
tok18 32-43 JJ denotes coronavirus
tok19 44-45 ( denotes (
tok20 45-49 CD denotes 2019
lookup1 45-49 year denotes 2019
tok21 49-50 : denotes -
tok22 50-54 NN denotes nCoV
tok23 54-55 ) denotes )
tok24 55-56 , denotes ,
tok25 57-62 WDT denotes which
tok26 63-65 VBZ denotes is
lookup2 63-65 country_code denotes is
tok27 66-73 VBG denotes causing
event6 66-73 OCCURRENCE denotes causing
tok28 74-76 DT denotes an
lookup3 74-76 country_code denotes an
tok29 77-85 NN denotes outbreak
tok30 86-88 IN denotes of
tok31 89-96 JJ denotes unusual
tok32 97-102 JJ denotes viral
tok33 103-112 NN denotes pneumonia
tok34 113-115 IN denotes in
lookup4 113-115 country_code denotes in
tok35 116-124 NNS denotes patients
tok36 125-127 IN denotes in
lookup5 125-127 country_code denotes in
tok37 128-133 NNP denotes Wuhan
lookup6 128-133 location denotes Wuhan
tok38 133-134 , denotes ,
tok39 135-136 DT denotes a
tok40 137-144 JJ denotes central
lookup7 137-144 loc_key denotes central
tok41 145-149 NN denotes city
lookup8 145-149 loc_general_key denotes city
tok42 150-152 IN denotes in
lookup9 150-152 country_code denotes in
tok43 153-158 NNP denotes China
lookup10 153-158 location denotes China
tok44 158-159 , denotes ,
tok45 160-162 VBZ denotes is
lookup11 160-162 country_code denotes is
tok46 163-170 DT denotes another
tok47 171-178 NN denotes warning
tok48 179-181 IN denotes of
tok49 182-185 DT denotes the
tok50 186-190 NN denotes risk
tok51 191-193 IN denotes of
tok52 194-207 NNS denotes coronaviruses
tok53 208-213 VBN denotes posed
event9 208-213 OCCURRENCE denotes posed
tok54 214-216 TO denotes to
lookup12 214-216 country_code denotes to
tok55 217-223 JJ denotes public
tok56 224-230 NN denotes health
tok57 230-231 . denotes .