| Id |
Subject |
Object |
Predicate |
Lexical cue |
| tok4 |
8-10 |
IN |
denotes |
of |
| tok5 |
11-13 |
CD |
denotes |
31 |
| tok6 |
14-19 |
NNS |
denotes |
cases |
| tok7 |
20-22 |
IN |
denotes |
of |
| tok8 |
23-27 |
CD |
denotes |
2019 |
| lookup1 |
23-27 |
year |
denotes |
2019 |
| tok9 |
28-33 |
NN |
denotes |
novel |
| tok10 |
34-45 |
JJ |
denotes |
coronavirus |
| tok11 |
46-55 |
NN |
denotes |
infection |
| tok12 |
56-58 |
IN |
denotes |
in |
| lookup2 |
56-58 |
country_code |
denotes |
in |
| tok13 |
59-67 |
NNS |
denotes |
children |
| tok14 |
68-72 |
IN |
denotes |
from |
| tok15 |
73-76 |
CD |
denotes |
six |
| lookup3 |
73-76 |
time |
denotes |
six |
| lookup4 |
73-76 |
number |
denotes |
six |
| tok16 |
77-86 |
NNS |
denotes |
provinces |
| tok17 |
87-88 |
( |
denotes |
( |
| tok18 |
88-98 |
JJ |
denotes |
autonomous |
| tok19 |
99-105 |
NN |
denotes |
region |
| tok20 |
105-106 |
) |
denotes |
) |
| tok21 |
107-109 |
IN |
denotes |
of |
| tok22 |
110-118 |
JJ |
denotes |
northern |
| lookup5 |
110-118 |
loc_key |
denotes |
northern |
| tok23 |
119-124 |
NNP |
denotes |
China |
| lookup6 |
119-124 |
location |
denotes |
China |
| tok24 |
124-125 |
NN |
denotes |
] |
| tok25 |
125-126 |
. |
denotes |
. |
| tok26 |
127-136 |
NNP |
denotes |
Objective |
| tok27 |
136-137 |
: |
denotes |
: |
| tok28 |
138-140 |
TO |
denotes |
To |
| tok29 |
141-148 |
VB |
denotes |
analyze |
| event6 |
141-148 |
OCCURRENCE |
denotes |
analyze |
| tok30 |
149-152 |
DT |
denotes |
the |
| tok31 |
153-168 |
JJ |
denotes |
epidemiological |
| tok32 |
169-176 |
NN |
denotes |
history |
| tok33 |
176-177 |
, |
denotes |
, |
| tok34 |
178-186 |
JJ |
denotes |
clinical |
| tok35 |
187-201 |
NNS |
denotes |
manifestations |
| tok36 |
201-202 |
, |
denotes |
, |
| tok37 |
203-212 |
NN |
denotes |
treatment |
| tok38 |
213-216 |
CC |
denotes |
and |
| tok39 |
217-220 |
DT |
denotes |
the |
| tok40 |
221-231 |
JJ |
denotes |
short-term |
