| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok346 |
0-2 |
PRP |
denotes |
It |
| lookup46 |
0-2 |
stop |
denotes |
It |
| tok347 |
3-6 |
VBZ |
denotes |
has |
| tok348 |
7-15 |
VBN |
denotes |
affected |
| event18 |
7-15 |
OCCURRENCE |
denotes |
affected |
| tok349 |
16-20 |
JJR |
denotes |
more |
| tok350 |
21-27 |
NNS |
denotes |
people |
| tok351 |
28-30 |
IN |
denotes |
in |
| lookup47 |
28-30 |
country_code |
denotes |
in |
| tok352 |
31-32 |
DT |
denotes |
a |
| tok353 |
33-38 |
JJ |
denotes |
short |
| tok354 |
39-43 |
NN |
denotes |
time |
| tok355 |
44-50 |
NN |
denotes |
period |
| tok356 |
51-59 |
VBN |
denotes |
compared |
| tok357 |
60-62 |
TO |
denotes |
to |
| lookup48 |
60-62 |
country_code |
denotes |
to |
| tok358 |
63-71 |
NNP |
denotes |
SARS-CoV |
| tok359 |
72-75 |
CC |
denotes |
and |
| tok360 |
76-84 |
NNP |
denotes |
MERS-CoV |
| tok361 |
84-85 |
, |
denotes |
, |
| tok362 |
86-94 |
IN |
denotes |
although |
| tok363 |
95-98 |
DT |
denotes |
the |
| tok364 |
99-107 |
NN |
denotes |
fatality |
| tok365 |
108-112 |
NN |
denotes |
rate |
| tok366 |
113-115 |
IN |
denotes |
of |
| tok367 |
116-124 |
NNP |
denotes |
MERS-CoV |
| tok368 |
125-128 |
VBD |
denotes |
was |
| tok369 |
129-135 |
JJR |
denotes |
higher |
| tok370 |
136-140 |
IN |
denotes |
than |
| tok371 |
141-149 |
NNP |
denotes |
SARS-CoV |
| tok372 |
150-153 |
CC |
denotes |
and |
| tok373 |
154-158 |
CD |
denotes |
2019 |
| lookup49 |
154-158 |
year |
denotes |
2019 |
| tok374 |
158-159 |
: |
denotes |
- |
| tok375 |
159-163 |
NN |
denotes |
nCoV |
| tok376 |
163-164 |
. |
denotes |
. |
