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LitCovid-PAS-Enju

Id Subject Object Predicate Lexical cue
EnjuParser_T98 0-9 VBG denotes According
EnjuParser_T99 10-12 TO denotes to
EnjuParser_T100 13-16 DT denotes the
EnjuParser_T101 17-25 JJ denotes relevant
EnjuParser_T102 26-36 JJ denotes diagnostic
EnjuParser_T103 37-45 NNS denotes criteria
EnjuParser_T104 45-46 -COMMA- denotes ,
EnjuParser_T105 47-50 DT denotes the
EnjuParser_T106 51-59 NNS denotes patients
EnjuParser_T107 60-64 VBD denotes were
EnjuParser_T108 65-72 VBN denotes divided
EnjuParser_T109 73-77 IN denotes into
EnjuParser_T110 78-83 CD denotes three
EnjuParser_T111 84-90 NNS denotes groups
EnjuParser_T112 90-91 -COLON- denotes :
EnjuParser_T113 92-96 JJ denotes mild
EnjuParser_T114 97-98 -LRB- denotes (
EnjuParser_T115 98-100 CD denotes 15
EnjuParser_T116 101-106 NNS denotes cases
EnjuParser_T117 106-107 -RRB- denotes )
EnjuParser_T118 107-108 -COMMA- denotes ,
EnjuParser_T119 109-115 JJ denotes severe
EnjuParser_T120 116-117 -LRB- denotes (
EnjuParser_T121 117-118 CD denotes 9
EnjuParser_T122 119-124 NNS denotes cases
EnjuParser_T123 124-125 -RRB- denotes )
EnjuParser_T124 126-129 CC denotes and
EnjuParser_T125 130-138 JJ denotes critical
EnjuParser_T126 139-140 -LRB- denotes (
EnjuParser_T127 140-141 CD denotes 5
EnjuParser_T128 142-147 NNS denotes cases
EnjuParser_T129 147-148 -RRB- denotes )
EnjuParser_R95 EnjuParser_T108 EnjuParser_T98 arg1Of divided,According
EnjuParser_R96 EnjuParser_T99 EnjuParser_T98 arg2Of to,According
EnjuParser_R97 EnjuParser_T103 EnjuParser_T99 arg2Of criteria,to
EnjuParser_R98 EnjuParser_T103 EnjuParser_T100 arg1Of criteria,the
EnjuParser_R99 EnjuParser_T103 EnjuParser_T101 arg1Of criteria,relevant
EnjuParser_R100 EnjuParser_T103 EnjuParser_T102 arg1Of criteria,diagnostic
EnjuParser_R101 EnjuParser_T108 EnjuParser_T104 arg1Of divided,","
EnjuParser_R102 EnjuParser_T106 EnjuParser_T105 arg1Of patients,the
EnjuParser_R103 EnjuParser_T106 EnjuParser_T107 arg1Of patients,were
EnjuParser_R104 EnjuParser_T108 EnjuParser_T107 arg2Of divided,were
EnjuParser_R105 EnjuParser_T106 EnjuParser_T108 arg2Of patients,divided
EnjuParser_R106 EnjuParser_T108 EnjuParser_T109 arg1Of divided,into
EnjuParser_R107 EnjuParser_T111 EnjuParser_T109 arg2Of groups,into
EnjuParser_R108 EnjuParser_T111 EnjuParser_T110 arg1Of groups,three
EnjuParser_R109 EnjuParser_T108 EnjuParser_T112 arg1Of divided,:
EnjuParser_R110 EnjuParser_T108 EnjuParser_T113 arg1Of divided,mild
EnjuParser_R111 EnjuParser_T113 EnjuParser_T114 arg1Of mild,(
EnjuParser_R112 EnjuParser_T116 EnjuParser_T114 arg2Of cases,(
EnjuParser_R113 EnjuParser_T117 EnjuParser_T114 arg3Of ),(
EnjuParser_R114 EnjuParser_T116 EnjuParser_T115 arg1Of cases,15
EnjuParser_R115 EnjuParser_T113 EnjuParser_T118 arg1Of mild,","
EnjuParser_R116 EnjuParser_T128 EnjuParser_T118 arg2Of cases,","
EnjuParser_R117 EnjuParser_T128 EnjuParser_T119 arg1Of cases,severe
EnjuParser_R118 EnjuParser_T119 EnjuParser_T120 arg1Of severe,(
EnjuParser_R119 EnjuParser_T122 EnjuParser_T120 arg2Of cases,(
EnjuParser_R120 EnjuParser_T123 EnjuParser_T120 arg3Of ),(
EnjuParser_R121 EnjuParser_T122 EnjuParser_T121 arg1Of cases,9
EnjuParser_R122 EnjuParser_T119 EnjuParser_T124 arg1Of severe,and
EnjuParser_R123 EnjuParser_T125 EnjuParser_T124 arg2Of critical,and
EnjuParser_R124 EnjuParser_T128 EnjuParser_T125 arg1Of cases,critical
EnjuParser_R125 EnjuParser_T128 EnjuParser_T126 arg2Of cases,(
EnjuParser_R126 EnjuParser_T129 EnjuParser_T126 arg3Of ),(
EnjuParser_R127 EnjuParser_T128 EnjuParser_T127 arg1Of cases,5

LitCovid-ArguminSci

Id Subject Object Predicate Lexical cue
T5 0-149 DRI_Background denotes According to the relevant diagnostic criteria, the patients were divided into three groups: mild (15 cases), severe (9 cases) and critical (5 cases).

LitCovid-PubTatorCentral

Id Subject Object Predicate Lexical cue
T5 51-59 Species:9606 denotes patients

LitCovid-sentences-v1

Id Subject Object Predicate Lexical cue
TextSentencer_T7 0-149 Sentence denotes According to the relevant diagnostic criteria, the patients were divided into three groups: mild (15 cases), severe (9 cases) and critical (5 cases).

LitCovid-TimeML

Id Subject Object Predicate Lexical cue
tok107 0-9 VBG denotes According
tok108 10-12 TO denotes to
tok109 13-16 DT denotes the
tok110 17-25 JJ denotes relevant
tok111 26-36 JJ denotes diagnostic
tok112 37-45 NNS denotes criteria
tok113 45-46 , denotes ,
tok114 47-50 DT denotes the
tok115 51-59 NNS denotes patients
tok116 60-64 VBD denotes were
tok117 65-72 VBN denotes divided
tok118 73-77 IN denotes into
tok119 78-83 CD denotes three
tok120 84-90 NNS denotes groups
tok121 90-91 : denotes :
tok122 92-96 JJ denotes mild
tok123 97-98 ( denotes (
tok124 98-100 CD denotes 15
tok125 101-106 NNS denotes cases
tok126 106-107 ) denotes )
tok127 107-108 , denotes ,
tok128 109-115 JJ denotes severe
tok129 116-117 ( denotes (
tok130 117-118 CD denotes 9
tok131 119-124 NNS denotes cases
tok132 124-125 ) denotes )
tok133 126-129 CC denotes and
tok134 130-138 JJ denotes critical
tok135 139-140 ( denotes (
tok136 140-141 CD denotes 5
tok137 142-147 NNS denotes cases
tok138 147-148 ) denotes )
tok139 148-149 . denotes .
lookup16 10-12 country_code denotes to
lookup17 78-83 time denotes three
lookup18 78-83 number denotes three
event13 0-9 REPORTING denotes According
event19 65-72 OCCURRENCE denotes divided

Inflammaging

Id Subject Object Predicate Lexical cue
T7 0-149 Sentence denotes According to the relevant diagnostic criteria, the patients were divided into three groups: mild (15 cases), severe (9 cases) and critical (5 cases).
T7 0-149 Sentence denotes According to the relevant diagnostic criteria, the patients were divided into three groups: mild (15 cases), severe (9 cases) and critical (5 cases).

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T7 0-149 Sentence denotes According to the relevant diagnostic criteria, the patients were divided into three groups: mild (15 cases), severe (9 cases) and critical (5 cases).

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
42 51-59 Species denotes patients Tax:9606