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PubMed:32229753 JSONTXT 12 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
tok1 0-2 TO denotes To
tok2 3-10 NNP denotes Protect
tok3 11-21 NNP denotes Healthcare
tok4 22-29 NNPS denotes Workers
lookup1 22-29 org_base denotes Workers
tok5 30-36 NNP denotes Better
tok6 36-37 , denotes ,
tok7 38-40 TO denotes To
tok8 41-45 VB denotes Save
tok9 46-50 JJR denotes More
tok10 51-56 NNS denotes Lives
tok11 56-57 . denotes .
tok12 58-61 DT denotes The
tok13 62-73 NNP denotes Coronavirus
tok14 74-81 NNP denotes Disease
tok15 82-86 CD denotes 2019
lookup2 82-86 year denotes 2019
tok16 87-88 ( denotes (
tok17 88-94 NNP denotes COVID-
tok18 94-96 CD denotes 19
tok19 96-97 ) denotes )
tok20 98-106 JJ denotes pandemic
tok21 107-110 VBZ denotes has
tok22 111-115 RB denotes thus
tok23 116-119 RB denotes far
tok24 120-126 VBD denotes caused
event5 120-126 OCCURRENCE denotes caused
tok25 127-128 DT denotes a
tok26 129-134 NN denotes total
tok27 135-137 IN denotes of
tok28 138-140 CD denotes 81
tok29 140-141 , denotes ,
tok30 141-144 CD denotes 747
tok31 145-154 VBD denotes confirmed
event4 145-154 REPORTING denotes confirmed
tok32 155-160 NNS denotes cases
tok33 161-165 IN denotes with
tok34 166-167 CD denotes 3
tok35 167-168 , denotes ,
tok36 168-171 CD denotes 283
tok37 172-178 NNS denotes deaths
tok38 179-181 IN denotes in
lookup3 179-181 country_code denotes in
tok39 182-187 NNP denotes China
lookup4 182-187 location denotes China
tok40 187-188 , denotes ,
tok41 189-192 CC denotes and
tok42 193-197 JJR denotes more
tok43 198-202 IN denotes than
tok44 203-206 CD denotes 370
tok45 206-207 , denotes ,
tok46 207-210 CD denotes 000
tok47 211-220 VBD denotes confirmed
event2 211-220 REPORTING denotes confirmed
tok48 221-226 NNS denotes cases
tok49 227-236 VBG denotes including
tok50 237-241 IN denotes over
tok51 242-244 CD denotes 16
tok52 244-245 , denotes ,
tok53 245-248 CD denotes 000
tok54 249-255 NNS denotes deaths
tok55 256-262 IN denotes around
tok56 263-266 DT denotes the
tok57 267-272 NN denotes world
tok58 273-275 IN denotes by
lookup5 273-275 country_code denotes by
tok59 276-281 NNP denotes March
lookup6 276-281 location denotes March
lookup7 276-281 date denotes March
tok60 282-284 CD denotes 24
tok61 284-285 , denotes ,
tok62 286-290 CD denotes 2020
lookup8 286-290 year denotes 2020
tok63 290-291 . denotes .
tok64 292-296 DT denotes This
lookup9 292-296 time_modifier denotes This
tok65 297-302 NN denotes issue
tok66 303-306 VBZ denotes has
tok67 307-315 VBN denotes received
event6 307-315 OCCURRENCE denotes received
tok68 316-325 JJ denotes extensive
tok69 326-335 NN denotes attention
tok70 336-340 IN denotes from
tok71 341-344 DT denotes the
tok72 345-358 JJ denotes international
tok73 359-368 NN denotes community
tok74 369-372 CC denotes and
tok75 373-376 VBZ denotes has
tok76 377-383 VBN denotes become
event3 377-383 OCCURRENCE denotes become
tok77 384-385 DT denotes a
tok78 386-391 JJ denotes major
tok79 392-398 JJ denotes public
tok80 399-405 NN denotes health
tok81 406-414 NN denotes priority
tok82 414-415 . denotes .
tok83 416-418 IN denotes As
tok84 419-422 DT denotes the
tok85 423-431 JJ denotes pandemic
tok86 432-442 VBZ denotes progresses
event8 432-442 OCCURRENCE denotes progresses
tok87 442-443 , denotes ,
tok88 444-446 PRP denotes it
lookup10 444-446 country_code denotes it
tok89 447-449 VBZ denotes is
lookup11 447-449 country_code denotes is
tok90 450-461 JJ denotes regrettable
tok91 462-464 TO denotes to
lookup12 462-464 country_code denotes to
tok92 465-469 VB denotes know
event9 465-469 OCCURRENCE denotes know
tok93 470-473 DT denotes the
tok94 474-484 NN denotes healthcare
tok95 485-492 NNS denotes workers
tok96 492-493 , denotes ,
tok97 494-503 VBG denotes including
tok98 504-521 NNS denotes anesthesiologists
tok99 521-522 , denotes ,
tok100 523-528 VBG denotes being
tok101 529-537 JJ denotes infected
tok102 538-548 RB denotes constantly
tok103 548-549 . denotes .
tok104 550-559 RB denotes Therefore
tok105 559-560 , denotes ,
tok106 561-563 PRP denotes we
tok107 564-569 MD denotes would
tok108 570-574 VB denotes like
tok109 575-577 TO denotes to
lookup13 575-577 country_code denotes to
tok110 578-583 VB denotes share
event1 578-583 OCCURRENCE denotes share
tok111 584-587 PRP$ denotes our
tok112 588-597 RB denotes firsthand
tok113 598-607 JJ denotes practical
tok114 608-618 NN denotes experience
tok115 619-622 CC denotes and
tok116 623-634 NN denotes perspective
tok117 635-637 IN denotes in
lookup14 635-637 country_code denotes in
tok118 638-643 NNP denotes China
lookup15 638-643 location denotes China
tok119 643-644 , denotes ,
tok120 645-653 VBG denotes focusing
event7 645-653 OCCURRENCE denotes focusing
tok121 654-656 IN denotes on
tok122 657-660 DT denotes the
tok123 661-669 JJ denotes personal
tok124 670-680 NN denotes protection
tok125 681-683 IN denotes of
tok126 684-694 NN denotes healthcare
tok127 695-702 NNS denotes workers
tok128 703-706 CC denotes and
tok129 707-710 DT denotes the
tok130 711-715 NN denotes risk
tok131 716-723 NNS denotes factors
tok132 724-731 VBN denotes related
tok133 732-734 TO denotes to
lookup16 732-734 country_code denotes to
tok134 735-740 PRP$ denotes their
tok135 741-750 NN denotes infection
tok136 750-751 , denotes ,
tok137 752-757 VBN denotes based
tok138 758-760 IN denotes on
tok139 761-764 DT denotes the
tok140 765-774 JJ denotes different
tok141 775-781 NNS denotes stages
tok142 782-784 IN denotes of
tok143 785-788 DT denotes the
tok144 789-795 NNP denotes COVID-
tok145 795-797 CD denotes 19
tok146 798-806 NN denotes epidemic
tok147 807-809 IN denotes in
lookup17 807-809 country_code denotes in
tok148 810-815 NNP denotes China
lookup18 810-815 location denotes China
tok149 815-816 . denotes .