Id |
Subject |
Object |
Predicate |
Lexical cue |
tok20 |
0-10 |
NNP |
denotes |
Directives |
tok21 |
11-20 |
NNS |
denotes |
concrètes |
tok22 |
21-22 |
NN |
denotes |
à |
tok23 |
23-24 |
NN |
denotes |
l |
tok24 |
24-25 |
NN |
denotes |
’ |
tok25 |
25-34 |
NN |
denotes |
intention |
tok26 |
35-38 |
NNP |
denotes |
des |
lookup2 |
35-38 |
person_first |
denotes |
des |
tok27 |
39-46 |
NNS |
denotes |
équipes |
tok28 |
47-49 |
JJ |
denotes |
de |
lookup3 |
47-49 |
country_code |
denotes |
de |
lookup4 |
47-49 |
surname |
denotes |
de |
tok29 |
50-55 |
NNS |
denotes |
soins |
tok30 |
56-65 |
NNS |
denotes |
intensifs |
tok31 |
66-68 |
CC |
denotes |
et |
lookup5 |
66-68 |
country_code |
denotes |
et |
tok32 |
69-70 |
SYM |
denotes |
d |
tok33 |
70-71 |
NN |
denotes |
’ |
tok34 |
71-86 |
NN |
denotes |
anesthésiologie |
tok35 |
87-94 |
NN |
denotes |
prenant |
tok36 |
95-99 |
NN |
denotes |
soin |
tok37 |
100-102 |
IN |
denotes |
de |
lookup6 |
100-102 |
country_code |
denotes |
de |
lookup7 |
100-102 |
surname |
denotes |
de |
tok38 |
103-111 |
NNS |
denotes |
patients |
tok39 |
112-120 |
NNS |
denotes |
atteints |
tok40 |
121-123 |
NNP |
denotes |
du |
lookup8 |
121-123 |
surname |
denotes |
du |
tok41 |
124-135 |
JJ |
denotes |
coronavirus |
tok42 |
136-140 |
CD |
denotes |
2019 |
lookup9 |
136-140 |
year |
denotes |
2019 |
tok43 |
140-141 |
: |
denotes |
- |
tok44 |
141-145 |
NN |
denotes |
nCoV |
tok45 |
145-146 |
. |
denotes |
. |