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PubMed:32240634 / 269-357 JSONTXT

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LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T4 0-88 Sentence denotes We aimed to provide robust estimates, accounting for censoring and ascertainment biases.

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok48 0-2 PRP denotes We
tok49 3-8 VBD denotes aimed
tok50 9-11 TO denotes to
tok51 12-19 VB denotes provide
tok52 20-26 JJ denotes robust
tok53 27-36 NNS denotes estimates
tok54 36-37 , denotes ,
tok55 38-48 NN denotes accounting
tok56 49-52 IN denotes for
tok57 53-62 VBG denotes censoring
tok58 63-66 CC denotes and
tok59 67-80 NN denotes ascertainment
tok60 81-87 NNS denotes biases
tok61 87-88 . denotes .
lookup5 0-2 stop denotes We
lookup6 9-11 country_code denotes to
event4 3-8 I_STATE denotes aimed
event19 53-62 OCCURRENCE denotes censoring
event22 12-19 OCCURRENCE denotes provide