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PubMed:32201983 JSONTXT 32 Projects

Annnotations TAB TSV DIC JSON TextAE Lectin_function IAV-Glycan

Id Subject Object Predicate Lexical cue
tok1 0-11 NNP denotes Dermatology
tok2 12-17 NN denotes staff
tok3 18-29 VB denotes participate
event5 18-29 OCCURRENCE denotes participate
tok4 30-32 IN denotes in
lookup1 30-32 country_code denotes in
tok5 33-38 NN denotes fight
tok6 39-46 IN denotes against
tok7 47-53 NNP denotes Covid-
tok8 53-55 CD denotes 19
tok9 56-58 IN denotes in
lookup2 56-58 country_code denotes in
tok10 59-64 NNP denotes China
lookup3 59-64 location denotes China
tok11 64-65 . denotes .
tok12 66-68 IN denotes In
tok13 69-77 NNP denotes December
lookup4 69-77 date denotes December
tok14 77-78 , denotes ,
tok15 79-83 CD denotes 2019
lookup5 79-83 year denotes 2019
tok16 83-84 , denotes ,
tok17 85-86 DT denotes a
tok18 87-93 NN denotes series
tok19 94-96 IN denotes of
tok20 97-106 NN denotes pneumonia
tok21 107-112 NNS denotes cases
tok22 113-115 IN denotes in
lookup6 113-115 country_code denotes in
tok23 116-121 NNP denotes Wuhan
lookup7 116-121 location denotes Wuhan
tok24 121-122 , denotes ,
tok25 123-128 NNP denotes China
lookup8 123-128 location denotes China
tok26 128-129 , denotes ,
tok27 130-133 VBD denotes was
tok28 134-140 VBN denotes caused
event9 134-140 OCCURRENCE denotes caused
tok29 141-143 IN denotes by
lookup9 141-143 country_code denotes by
tok30 144-145 DT denotes a
tok31 146-151 NN denotes novel
tok32 152-163 JJ denotes coronavirus
tok33 164-165 ( denotes (
tok34 165-171 NNP denotes Covid-
tok35 171-173 CD denotes 19
tok36 173-174 ) denotes )
tok37 175-176 NN denotes [
tok38 176-177 CD denotes 1
tok39 177-178 : denotes -
tok40 178-179 CD denotes 2
tok41 179-180 NN denotes ]
tok42 180-181 , denotes ,
tok43 182-185 VBZ denotes has
tok44 186-192 VBN denotes become
event3 186-192 OCCURRENCE denotes become
tok45 193-194 DT denotes a
tok46 195-201 JJ denotes global
tok47 202-208 NN denotes health
tok48 209-216 NN denotes concern
tok49 217-218 NN denotes [
tok50 218-219 CD denotes 3
tok51 219-220 NN denotes ]
tok52 220-221 . denotes .
tok53 222-224 IN denotes At
tok54 225-232 VB denotes present
event6 225-232 OCCURRENCE denotes present
tok55 233-236 DT denotes the
tok56 237-245 NN denotes epidemic
tok57 246-248 IN denotes in
lookup10 246-248 country_code denotes in
tok58 249-254 NNP denotes China
lookup11 249-254 location denotes China
tok59 255-258 VBZ denotes has
tok60 259-263 VBN denotes been
tok61 264-268 RB denotes well
tok62 269-279 VBN denotes controlled
event1 269-279 OCCURRENCE denotes controlled
tok63 279-280 , denotes ,
tok64 281-284 CC denotes but
tok65 285-291 NNP denotes Covid-
tok66 291-293 CD denotes 19
tok67 294-297 VBP denotes are
tok68 298-307 RB denotes currently
tok69 308-317 VBG denotes spreading
event8 308-317 OCCURRENCE denotes spreading
tok70 318-320 IN denotes in
lookup12 318-320 country_code denotes in
tok71 321-325 JJ denotes many
tok72 326-331 JJ denotes other
tok73 332-341 NNS denotes countries
tok74 342-345 DT denotes all
tok75 346-350 IN denotes over
tok76 351-354 DT denotes the
tok77 355-360 NN denotes world
tok78 360-361 . denotes .
tok79 362-376 NNP denotes Dermatologists
tok80 377-379 IN denotes in
lookup13 377-379 country_code denotes in
tok81 380-385 NNP denotes China
lookup14 380-385 location denotes China
tok82 386-390 VBP denotes have
tok83 391-403 VBN denotes participated
event2 391-403 OCCURRENCE denotes participated
tok84 404-406 IN denotes in
lookup15 404-406 country_code denotes in
tok85 407-410 DT denotes the
tok86 411-416 NN denotes fight
tok87 417-424 IN denotes against
tok88 425-431 NNP denotes Covid-
tok89 431-433 CD denotes 19
tok90 433-434 . denotes .
tok91 435-437 IN denotes In
tok92 438-442 DT denotes this
lookup16 438-442 time_modifier denotes this
tok93 443-448 NN denotes paper
tok94 449-451 PRP denotes we
tok95 452-457 VBP denotes share
tok96 458-461 PRP$ denotes our
tok97 462-473 NNS denotes experiences
tok98 474-476 IN denotes in
lookup17 474-476 country_code denotes in
tok99 477-484 VBG denotes dealing
event10 477-484 OCCURRENCE denotes dealing
tok100 485-489 IN denotes with
tok101 490-494 NN denotes skin
tok102 495-503 NNS denotes diseases
tok103 504-506 IN denotes in
lookup18 504-506 country_code denotes in
tok104 507-511 DT denotes this
lookup19 507-511 time_modifier denotes this
tok105 512-519 JJ denotes special
tok106 520-526 NN denotes period
tok107 527-530 CC denotes and
tok108 531-535 VBP denotes hope
event7 531-535 I_STATE denotes hope
tok109 536-538 TO denotes to
lookup20 536-538 country_code denotes to
tok110 539-546 VB denotes provide
event4 539-546 OCCURRENCE denotes provide
tok111 547-551 DT denotes some
tok112 552-562 NNS denotes references
tok113 563-566 IN denotes for
tok114 567-580 JJ denotes international
tok115 581-591 NNS denotes colleagues
tok116 592-594 IN denotes in
lookup21 592-594 country_code denotes in
tok117 595-598 DT denotes the
tok118 599-607 NN denotes epidemic
tok119 608-617 NN denotes situation
tok120 617-618 . denotes .