Id |
Subject |
Object |
Predicate |
Lexical cue |
tok1 |
0-1 |
NN |
denotes |
[ |
tok2 |
1-10 |
NNP |
denotes |
Retracted |
tok3 |
10-11 |
: |
denotes |
: |
tok4 |
12-20 |
NNP |
denotes |
Clinical |
tok5 |
21-24 |
CC |
denotes |
and |
tok6 |
25-40 |
JJ |
denotes |
epidemiological |
tok7 |
41-56 |
NNS |
denotes |
characteristics |
tok8 |
57-59 |
IN |
denotes |
of |
tok9 |
60-62 |
CD |
denotes |
34 |
tok10 |
63-71 |
NNS |
denotes |
children |
tok11 |
72-76 |
IN |
denotes |
with |
tok12 |
77-81 |
CD |
denotes |
2019 |
lookup1 |
77-81 |
year |
denotes |
2019 |
tok13 |
82-87 |
NN |
denotes |
novel |
tok14 |
88-99 |
JJ |
denotes |
coronavirus |
tok15 |
100-109 |
NN |
denotes |
infection |
tok16 |
110-112 |
IN |
denotes |
in |
lookup2 |
110-112 |
country_code |
denotes |
in |
tok17 |
113-121 |
NNP |
denotes |
Shenzhen |
lookup3 |
113-121 |
location |
denotes |
Shenzhen |
tok18 |
121-122 |
NN |
denotes |
] |
tok19 |
122-123 |
. |
denotes |
. |
tok20 |
124-133 |
NNP |
denotes |
Objective |
tok21 |
133-134 |
: |
denotes |
: |
tok22 |
135-137 |
TO |
denotes |
To |