| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok1 |
0-1 |
NN |
denotes |
[ |
| tok2 |
1-9 |
NNP |
denotes |
Analysis |
| tok3 |
10-12 |
IN |
denotes |
of |
| tok4 |
13-21 |
JJ |
denotes |
clinical |
| tok5 |
22-30 |
NNS |
denotes |
features |
| tok6 |
31-33 |
IN |
denotes |
of |
| tok7 |
34-36 |
CD |
denotes |
29 |
| tok8 |
37-45 |
NNS |
denotes |
patients |
| tok9 |
46-50 |
IN |
denotes |
with |
| tok10 |
51-55 |
CD |
denotes |
2019 |
| lookup1 |
51-55 |
year |
denotes |
2019 |
| tok11 |
56-61 |
NN |
denotes |
novel |
| tok12 |
62-73 |
JJ |
denotes |
coronavirus |
| tok13 |
74-83 |
NN |
denotes |
pneumonia |
| tok14 |
83-84 |
NN |
denotes |
] |
| tok15 |
84-85 |
. |
denotes |
. |
| tok16 |
86-95 |
NNP |
denotes |
Objective |
| tok17 |
95-96 |
: |
denotes |
: |
| tok18 |
97-99 |
TO |
denotes |
To |
| tok19 |
100-107 |
VB |
denotes |
analyze |
| event22 |
100-107 |
OCCURRENCE |
denotes |
analyze |
| tok20 |
108-111 |
DT |
denotes |
the |
| tok21 |
112-120 |
JJ |
denotes |
clinical |
| tok22 |
121-136 |
NNS |
denotes |
characteristics |
| tok23 |
137-139 |
IN |
denotes |
of |
| tok24 |
140-144 |
CD |
denotes |
2019 |
| lookup2 |
140-144 |
year |
denotes |
2019 |
| tok25 |
145-150 |
NN |
denotes |
novel |
| tok26 |
151-162 |
JJ |
denotes |
coronavirus |
| tok27 |
163-164 |
( |
denotes |
( |
| tok28 |
164-168 |
CD |
denotes |
2019 |
| lookup3 |
164-168 |
year |
denotes |
2019 |
| tok29 |
168-169 |
: |
denotes |
- |
| tok30 |
169-173 |
NN |
denotes |
nCoV |
| tok31 |
173-174 |
) |
denotes |
) |
| tok32 |
175-184 |
NN |
denotes |
pneumonia |
| tok33 |
185-188 |
CC |
denotes |
and |
| tok34 |
189-191 |
TO |
denotes |
to |
| lookup4 |
189-191 |
country_code |
denotes |
to |
| tok35 |
192-203 |
VB |
denotes |
investigate |
| event2 |
192-203 |
I_ACTION |
denotes |
investigate |
| tok36 |
204-207 |
DT |
denotes |
the |
| tok37 |
208-219 |
NN |
denotes |
correlation |
| tok38 |
220-227 |
IN |
denotes |
between |
| tok39 |
228-233 |
NN |
denotes |
serum |
| tok40 |
234-246 |
JJ |
denotes |
inflammatory |
| tok41 |
247-256 |
NNS |
denotes |
cytokines |
| tok42 |
257-260 |
CC |
denotes |
and |
| tok43 |
261-269 |
NN |
denotes |
severity |
| tok44 |
270-272 |
IN |
denotes |
of |
| tok45 |
273-276 |
DT |
denotes |
the |
| tok46 |
277-284 |
NN |
denotes |
disease |
| tok47 |
284-285 |
. |
denotes |
. |
| tok48 |
286-293 |
NNP |
denotes |
Methods |
| tok49 |
293-294 |
: |
denotes |
: |
| tok50 |
295-297 |
CD |
denotes |
29 |
| tok51 |
298-306 |
NNS |
denotes |
patients |
| tok52 |
307-311 |
IN |
denotes |
with |
| tok53 |
312-316 |
CD |
denotes |
2019 |
| lookup5 |
312-316 |
year |
denotes |
2019 |
| tok54 |
316-317 |
: |
denotes |
- |
| tok55 |
317-321 |
NN |
denotes |
ncov |
| tok56 |
322-330 |
VBN |
denotes |
admitted |
| event21 |
322-330 |
OCCURRENCE |
denotes |
admitted |
| tok57 |
331-333 |
TO |
denotes |
to |
| lookup6 |
331-333 |
country_code |
denotes |
to |
| tok58 |
334-337 |
DT |
denotes |
the |
| tok59 |
338-347 |
NN |
denotes |
isolation |
| tok60 |
348-352 |
NN |
denotes |
ward |
| lookup7 |
348-352 |
person_first |
denotes |
ward |
| tok61 |
353-355 |
IN |
denotes |
of |
| tok62 |
356-362 |
NNP |
denotes |
Tongji |
| tok63 |
363-371 |
NN |
denotes |
hospital |
| tok64 |
372-382 |
VBN |
denotes |
affiliated |
| event5 |
372-382 |
OCCURRENCE |
denotes |
affiliated |
| tok65 |
383-385 |
TO |
denotes |
to |
| lookup8 |
383-385 |
country_code |
denotes |
to |
| tok66 |
386-392 |
NNP |
denotes |
Tongji |
| tok67 |
393-400 |
JJ |
denotes |
medical |
| tok68 |
401-408 |
NN |
denotes |
college |
| tok69 |
409-411 |
IN |
denotes |
of |
| tok70 |
412-420 |
NNP |
denotes |
Huazhong |
| tok71 |
421-431 |
NNP |
denotes |
University |
| lookup9 |
421-431 |
org_base |
denotes |
University |
