PubMed:32133152 / 512-687 JSONTXT 5 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok94 0-2 DT denotes An
tok95 3-13 JJ denotes infectious
tok96 14-21 NN denotes disease
tok97 22-30 NNS denotes dynamics
tok98 31-35 NNP denotes SEIR
tok99 36-37 ( denotes (
tok100 37-48 NNP denotes Susceptible
tok101 48-49 , denotes ,
tok102 50-57 NNP denotes Exposed
tok103 57-58 , denotes ,
tok104 59-69 NNP denotes Infectious
tok105 69-70 , denotes ,
tok106 71-74 CC denotes and
tok107 75-82 VBN denotes Removed
tok108 82-83 ) denotes )
tok109 84-89 NN denotes model
lookup21 84-89 jobtitle denotes model
tok110 90-93 VBD denotes was
tok111 94-101 VBN denotes applied
event25 94-101 OCCURRENCE denotes applied
tok112 102-104 TO denotes to
lookup22 102-104 country_code denotes to
tok113 105-113 VB denotes estimate
event20 105-113 OCCURRENCE denotes estimate
tok114 114-117 DT denotes the
tok115 118-126 NN denotes epidemic
tok116 127-132 NN denotes trend
tok117 133-135 IN denotes in
lookup23 133-135 country_code denotes in
tok118 136-141 NNP denotes Wuhan
lookup24 136-141 location denotes Wuhan
tok119 141-142 , denotes ,
tok120 143-148 NNP denotes China
lookup25 143-148 location denotes China
tok121 149-154 IN denotes under
tok122 155-158 CD denotes two
lookup26 155-158 time denotes two
lookup27 155-158 number denotes two
tok123 159-170 NNS denotes assumptions
tok124 171-173 IN denotes of
tok125 174-175 NN denotes R