Id |
Subject |
Object |
Predicate |
Lexical cue |
tok3 |
1-9 |
NNS |
denotes |
features |
tok4 |
10-12 |
IN |
denotes |
of |
tok5 |
13-17 |
CD |
denotes |
2019 |
lookup1 |
13-17 |
year |
denotes |
2019 |
tok6 |
18-23 |
NN |
denotes |
novel |
tok7 |
24-35 |
JJ |
denotes |
coronavirus |
tok8 |
36-45 |
NN |
denotes |
pneumonia |
tok9 |
46-48 |
IN |
denotes |
in |
lookup2 |
46-48 |
country_code |
denotes |
in |
tok10 |
49-52 |
DT |
denotes |
the |
tok11 |
53-58 |
JJ |
denotes |
early |
tok12 |
59-64 |
NN |
denotes |
stage |
tok13 |
65-69 |
IN |
denotes |
from |
tok14 |
70-71 |
DT |
denotes |
a |
tok15 |
72-77 |
NN |
denotes |
fever |
tok16 |
78-84 |
NN |
denotes |
clinic |
tok17 |
85-87 |
IN |
denotes |
in |
lookup3 |
85-87 |
country_code |
denotes |
in |
tok18 |
88-95 |
NNP |
denotes |
Beijing |
lookup4 |
88-95 |
location |
denotes |
Beijing |
tok19 |
95-96 |
NN |
denotes |
] |
tok20 |
96-97 |
. |
denotes |
. |
tok21 |
98-107 |
NNP |
denotes |
Objective |
tok22 |
107-108 |
: |
denotes |
: |
tok23 |
109-111 |
TO |
denotes |
To |
tok24 |
112-121 |
VB |
denotes |
summarize |
event12 |
112-121 |
OCCURRENCE |
denotes |
summarize |
tok25 |
122-125 |
CC |
denotes |
and |
tok26 |
126-133 |
VB |
denotes |
analyze |
event3 |
126-133 |
OCCURRENCE |
denotes |
analyze |
tok27 |
134-137 |
DT |
denotes |
the |
tok28 |
138-146 |
JJ |
denotes |
clinical |
tok29 |
147-150 |
CC |
denotes |
and |
tok30 |
151-158 |
NN |
denotes |
imaging |
tok31 |
159-174 |
NNS |
denotes |
characteristics |
tok32 |
175-177 |
IN |
denotes |
of |
tok33 |
178-186 |
NNS |
denotes |
patients |
tok34 |
187-191 |
IN |
denotes |
with |