| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-11 |
NNP |
denotes |
Comorbidity |
| tok2 |
12-15 |
CC |
denotes |
and |
| tok3 |
16-19 |
PRP$ |
denotes |
its |
| tok4 |
20-26 |
NN |
denotes |
impact |
| tok5 |
27-29 |
IN |
denotes |
on |
| tok6 |
30-34 |
CD |
denotes |
1590 |
| tok7 |
35-43 |
NNS |
denotes |
patients |
| tok8 |
44-48 |
IN |
denotes |
with |
| tok9 |
49-55 |
NNP |
denotes |
Covid- |
| tok10 |
55-57 |
CD |
denotes |
19 |
| tok11 |
58-60 |
IN |
denotes |
in |
| lookup1 |
58-60 |
country_code |
denotes |
in |
| tok12 |
61-66 |
NNP |
denotes |
China |
| lookup2 |
61-66 |
location |
denotes |
China |
| tok13 |
66-67 |
: |
denotes |
: |
| tok14 |
68-69 |
DT |
denotes |
A |
| tok15 |
70-80 |
NNP |
denotes |
Nationwide |
| tok16 |
81-89 |
NNP |
denotes |
Analysis |
| tok17 |
89-90 |
. |
denotes |
. |
| tok18 |
91-101 |
NNP |
denotes |
BACKGROUND |
| tok19 |
101-102 |
: |
denotes |
: |
| tok20 |
103-106 |
DT |
denotes |
The |
| tok21 |
107-118 |
JJ |
denotes |
coronavirus |
| tok22 |
119-126 |
NN |
denotes |
disease |
| tok23 |
127-131 |
CD |
denotes |
2019 |
| lookup3 |
127-131 |
year |
denotes |
2019 |
| tok24 |
132-133 |
( |
denotes |
( |
| tok25 |
133-139 |
NNP |
denotes |
Covid- |
| tok26 |
139-141 |
CD |
denotes |
19 |
| tok27 |
141-142 |
) |
denotes |
) |
| tok28 |
143-151 |
NN |
denotes |
outbreak |
| tok29 |
152-154 |
VBZ |
denotes |
is |
| lookup4 |
152-154 |
country_code |
denotes |
is |
| tok30 |
155-163 |
VBG |
denotes |
evolving |
| event11 |
155-163 |
OCCURRENCE |
denotes |
evolving |
| tok31 |
164-171 |
RB |
denotes |
rapidly |
| tok32 |
172-181 |
NN |
denotes |
worldwide |
| tok33 |
181-182 |
. |
denotes |
. |
| tok34 |
183-192 |
NNP |
denotes |
OBJECTIVE |
| tok35 |
192-193 |
: |
denotes |
: |
| tok36 |
194-196 |
TO |
denotes |
To |
| tok37 |
197-205 |
VB |
denotes |
evaluate |
| event7 |
197-205 |
OCCURRENCE |
denotes |
evaluate |
| tok38 |
206-209 |
DT |
denotes |
the |
| tok39 |
210-214 |
NN |
denotes |
risk |
| tok40 |
215-217 |
IN |
denotes |
of |
| tok41 |
218-225 |
JJ |
denotes |
serious |
| tok42 |
226-233 |
JJ |
denotes |
adverse |
| tok43 |
234-242 |
NNS |
denotes |
outcomes |
| tok44 |
243-245 |
IN |
denotes |
in |
| lookup5 |
243-245 |
country_code |
denotes |
in |
| tok45 |
246-254 |
NNS |
denotes |
patients |
| tok46 |
255-259 |
IN |
denotes |
with |
| tok47 |
260-271 |
JJ |
denotes |
coronavirus |
| tok48 |
272-279 |
NN |
denotes |
disease |
| tok49 |
280-284 |
CD |
denotes |
2019 |
| lookup6 |
280-284 |
year |
denotes |
2019 |
| tok50 |
285-286 |
( |
denotes |
( |
| tok51 |
286-292 |
NNP |
denotes |
Covid- |
| tok52 |
292-294 |
CD |
denotes |
19 |
| tok53 |
294-295 |
) |
denotes |
) |
| tok54 |
296-298 |
IN |
denotes |
by |
| lookup7 |
296-298 |
country_code |
denotes |
by |
