Id |
Subject |
Object |
Predicate |
Lexical cue |
tok1 |
0-7 |
NNP |
denotes |
Imaging |
tok2 |
8-22 |
NNS |
denotes |
manifestations |
tok3 |
23-26 |
CC |
denotes |
and |
tok4 |
27-37 |
JJ |
denotes |
diagnostic |
tok5 |
38-43 |
NN |
denotes |
value |
tok6 |
44-46 |
IN |
denotes |
of |
tok7 |
47-52 |
NN |
denotes |
chest |
tok8 |
53-55 |
NNP |
denotes |
CT |
lookup1 |
53-55 |
state |
denotes |
CT |
tok9 |
56-58 |
IN |
denotes |
of |
tok10 |
59-70 |
JJ |
denotes |
coronavirus |
tok11 |
71-78 |
NN |
denotes |
disease |
tok12 |
79-83 |
CD |
denotes |
2019 |
lookup2 |
79-83 |
year |
denotes |
2019 |
tok13 |
84-85 |
( |
denotes |
( |
tok14 |
85-91 |
NNP |
denotes |
COVID- |
tok15 |
91-93 |
CD |
denotes |
19 |
tok16 |
93-94 |
) |
denotes |
) |
tok17 |
95-97 |
IN |
denotes |
in |
lookup3 |
95-97 |
country_code |
denotes |
in |
tok18 |
98-101 |
DT |
denotes |
the |
tok19 |
102-109 |
NNP |
denotes |
Xiaogan |
tok20 |
110-114 |
NN |
denotes |
area |
tok21 |
114-115 |
. |
denotes |
. |