| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-3 |
DT |
denotes |
The |
| tok2 |
4-15 |
NN |
denotes |
association |
| tok3 |
16-23 |
IN |
denotes |
between |
| tok4 |
24-32 |
JJ |
denotes |
domestic |
| lookup1 |
24-32 |
jobtitle |
denotes |
domestic |
| tok5 |
33-38 |
NN |
denotes |
train |
| tok6 |
39-53 |
NN |
denotes |
transportation |
| tok7 |
54-57 |
CC |
denotes |
and |
| tok8 |
58-63 |
NN |
denotes |
novel |
| tok9 |
64-75 |
JJ |
denotes |
coronavirus |
| tok10 |
76-77 |
( |
denotes |
( |
| tok11 |
77-81 |
CD |
denotes |
2019 |
| lookup2 |
77-81 |
year |
denotes |
2019 |
| tok12 |
81-82 |
: |
denotes |
- |
| tok13 |
82-86 |
NN |
denotes |
nCoV |
| tok14 |
86-87 |
) |
denotes |
) |
| tok15 |
88-96 |
NN |
denotes |
outbreak |
| tok16 |
97-99 |
IN |
denotes |
in |
| lookup3 |
97-99 |
country_code |
denotes |
in |
| tok17 |
100-105 |
NNP |
denotes |
China |
| lookup4 |
100-105 |
location |
denotes |
China |
| tok18 |
106-110 |
IN |
denotes |
from |
| tok19 |
111-115 |
CD |
denotes |
2019 |
| lookup5 |
111-115 |
year |
denotes |
2019 |
| tok20 |
116-118 |
TO |
denotes |
to |
| lookup6 |
116-118 |
country_code |
denotes |
to |
| tok21 |
119-123 |
CD |
denotes |
2020 |
| lookup7 |
119-123 |
year |
denotes |
2020 |
| tok22 |
123-124 |
: |
denotes |
: |
| tok23 |
125-126 |
DT |
denotes |
A |
| tok24 |
127-138 |
JJ |
denotes |
data-driven |
| tok25 |
139-152 |
NN |
denotes |
correlational |
| tok26 |
153-159 |
NN |
denotes |
report |
| tok27 |
159-160 |
. |
denotes |
. |
