PubMed:32083728 / 80-311 JSONTXT 10 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok14 0-3 DT denotes The
tok15 4-8 JJ denotes next
lookup2 4-8 time_modifier denotes next
tok16 9-15 NN denotes decade
lookup3 9-15 date_unit denotes decade
tok17 16-18 VBZ denotes is
lookup4 16-18 country_code denotes is
tok18 19-25 JJ denotes likely
tok19 26-28 TO denotes to
lookup5 26-28 country_code denotes to
tok20 29-36 VB denotes produce
event6 29-36 OCCURRENCE denotes produce
tok21 37-40 DT denotes any
tok22 41-47 NN denotes number
tok23 48-50 IN denotes of
tok24 51-57 JJ denotes global
tok25 58-68 NNS denotes challenges
tok26 69-73 WDT denotes that
tok27 74-78 MD denotes will
tok28 79-85 VB denotes affect
tok29 86-92 NN denotes health
tok30 93-96 CC denotes and
tok31 97-103 NN denotes health
tok32 104-108 NN denotes care
tok33 108-109 , denotes ,
tok34 110-119 VBG denotes including
tok35 120-132 JJ denotes pan-national
tok36 133-143 NNS denotes infections
tok37 144-148 JJ denotes such
tok38 149-151 IN denotes as
lookup6 149-151 country_code denotes as
tok39 152-155 DT denotes the
tok40 156-159 JJ denotes new
tok41 160-171 JJ denotes coronavirus
tok42 172-178 NNP denotes COVID-
tok43 178-180 CD denotes 19
tok44 181-184 CC denotes and
tok45 185-191 NNS denotes others
tok46 192-196 WDT denotes that
tok47 197-201 MD denotes will
tok48 202-204 VB denotes be
lookup7 202-204 country_code denotes be
tok49 205-212 VBN denotes related
event1 205-212 STATE denotes related
tok50 213-215 TO denotes to
lookup8 213-215 country_code denotes to
tok51 216-222 JJ denotes global
tok52 223-230 NN denotes warming
tok53 230-231 . denotes .