| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-12 |
NN |
denotes |
Preparedness |
| tok2 |
13-16 |
CC |
denotes |
and |
| tok3 |
17-30 |
NN |
denotes |
vulnerability |
| tok4 |
31-33 |
IN |
denotes |
of |
| tok5 |
34-41 |
JJ |
denotes |
African |
| tok6 |
42-51 |
NNS |
denotes |
countries |
| tok7 |
52-59 |
IN |
denotes |
against |
| tok8 |
60-72 |
NNS |
denotes |
importations |
| tok9 |
73-75 |
IN |
denotes |
of |
| tok10 |
76-82 |
NNP |
denotes |
COVID- |
| tok11 |
82-84 |
CD |
denotes |
19 |
| tok12 |
84-85 |
: |
denotes |
: |
| tok13 |
86-87 |
DT |
denotes |
a |
| tok14 |
88-97 |
VBG |
denotes |
modelling |
| tok15 |
98-103 |
NN |
denotes |
study |
| tok16 |
103-104 |
. |
denotes |
. |
| tok17 |
105-115 |
NNP |
denotes |
BACKGROUND |
| tok18 |
115-116 |
: |
denotes |
: |
| tok19 |
117-120 |
DT |
denotes |
The |
| tok20 |
121-126 |
NN |
denotes |
novel |
| tok21 |
127-138 |
JJ |
denotes |
coronavirus |
| tok22 |
139-146 |
NN |
denotes |
disease |
| tok23 |
147-151 |
CD |
denotes |
2019 |
| lookup1 |
147-151 |
year |
denotes |
2019 |
| tok24 |
152-153 |
( |
denotes |
( |
| tok25 |
153-159 |
NNP |
denotes |
COVID- |
| tok26 |
159-161 |
CD |
denotes |
19 |
| tok27 |
161-162 |
) |
denotes |
) |
| tok28 |
163-171 |
NN |
denotes |
epidemic |
| tok29 |
172-175 |
VBZ |
denotes |
has |
