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 |