| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-13 |
NNP |
denotes |
Epidemiologic |
| tok2 |
14-29 |
NNS |
denotes |
characteristics |
| tok3 |
30-32 |
IN |
denotes |
of |
| tok4 |
33-38 |
JJ |
denotes |
early |
| tok5 |
39-44 |
NNS |
denotes |
cases |
| tok6 |
45-49 |
IN |
denotes |
with |
| tok7 |
50-54 |
CD |
denotes |
2019 |
| lookup1 |
50-54 |
year |
denotes |
2019 |
| tok8 |
55-60 |
NN |
denotes |
novel |
| tok9 |
61-72 |
JJ |
denotes |
coronavirus |
| tok10 |
73-74 |
( |
denotes |
( |
| tok11 |
74-78 |
CD |
denotes |
2019 |
| lookup2 |
74-78 |
year |
denotes |
2019 |
| tok12 |
78-79 |
: |
denotes |
- |
| tok13 |
79-83 |
NN |
denotes |
nCoV |
| tok14 |
83-84 |
) |
denotes |
) |
| tok15 |
85-92 |
NN |
denotes |
disease |
| tok16 |
93-95 |
IN |
denotes |
in |
| lookup3 |
93-95 |
country_code |
denotes |
in |
| tok17 |
96-101 |
NNP |
denotes |
Korea |
| lookup4 |
96-101 |
location |
denotes |
Korea |
| tok18 |
101-102 |
. |
denotes |
. |
