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 |