| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-9 |
NNP |
denotes |
Real-time |
| tok2 |
10-19 |
JJ |
denotes |
tentative |
| tok3 |
20-30 |
NN |
denotes |
assessment |
| tok4 |
31-33 |
IN |
denotes |
of |
| tok5 |
34-37 |
DT |
denotes |
the |
| tok6 |
38-53 |
JJ |
denotes |
epidemiological |
| tok7 |
54-69 |
NNS |
denotes |
characteristics |
| tok8 |
70-72 |
IN |
denotes |
of |
| tok9 |
73-78 |
NN |
denotes |
novel |
| tok10 |
79-90 |
JJ |
denotes |
coronavirus |
| tok11 |
91-101 |
NNS |
denotes |
infections |
| tok12 |
102-104 |
IN |
denotes |
in |
| lookup1 |
102-104 |
country_code |
denotes |
in |
| tok13 |
105-110 |
NNP |
denotes |
Wuhan |
| lookup2 |
105-110 |
location |
denotes |
Wuhan |
| tok14 |
110-111 |
, |
denotes |
, |
| tok15 |
112-117 |
NNP |
denotes |
China |
| lookup3 |
112-117 |
location |
denotes |
China |
| tok16 |
117-118 |
, |
denotes |
, |
| tok17 |
119-121 |
IN |
denotes |
as |
| lookup4 |
119-121 |
country_code |
denotes |
as |
| tok18 |
122-124 |
IN |
denotes |
at |
| lookup5 |
122-124 |
country_code |
denotes |
at |
| tok19 |
125-127 |
CD |
denotes |
22 |
| tok20 |
128-135 |
NNP |
denotes |
January |
| lookup6 |
128-135 |
date |
denotes |
January |
| tok21 |
136-140 |
CD |
denotes |
2020 |
| lookup7 |
136-140 |
year |
denotes |
2020 |
| tok22 |
140-141 |
. |
denotes |
. |
| tok23 |
142-143 |
DT |
denotes |
A |
| tok24 |
144-149 |
NN |
denotes |
novel |
| tok25 |
150-161 |
JJ |
denotes |
coronavirus |
| tok26 |
162-163 |
( |
denotes |
( |
| tok27 |
163-167 |
CD |
denotes |
2019 |
| lookup8 |
163-167 |
year |
denotes |
2019 |
| tok28 |
167-168 |
: |
denotes |
- |
| tok29 |
168-172 |
NN |
denotes |
nCoV |
| tok30 |
172-173 |
) |
denotes |
) |
| tok31 |
174-181 |
VBG |
denotes |
causing |
| event7 |
174-181 |
OCCURRENCE |
denotes |
causing |
| tok32 |
182-188 |
JJ |
denotes |
severe |
