Id |
Subject |
Object |
Predicate |
Lexical cue |
tok23 |
0-2 |
DT |
denotes |
An |
tok24 |
3-11 |
NN |
denotes |
outbreak |
tok25 |
12-14 |
IN |
denotes |
of |
tok26 |
15-19 |
CD |
denotes |
2019 |
lookup5 |
15-19 |
year |
denotes |
2019 |
tok27 |
20-25 |
NN |
denotes |
novel |
tok28 |
26-37 |
JJ |
denotes |
coronavirus |
tok29 |
38-46 |
NNS |
denotes |
diseases |
tok30 |
47-48 |
( |
denotes |
( |
tok31 |
48-54 |
NNP |
denotes |
COVID- |
tok32 |
54-56 |
CD |
denotes |
19 |
tok33 |
56-57 |
) |
denotes |
) |
tok34 |
58-60 |
IN |
denotes |
in |
lookup6 |
58-60 |
country_code |
denotes |
in |
tok35 |
61-66 |
NNP |
denotes |
Wuhan |
lookup7 |
61-66 |
location |
denotes |
Wuhan |
tok36 |
66-67 |
, |
denotes |
, |
tok37 |
68-73 |
NNP |
denotes |
China |
lookup8 |
68-73 |
location |
denotes |
China |
tok38 |
74-77 |
VBZ |
denotes |
has |
tok39 |
78-84 |
VBN |
denotes |
spread |
event14 |
78-84 |
OCCURRENCE |
denotes |
spread |
tok40 |
85-92 |
RB |
denotes |
quickly |
tok41 |
93-103 |
JJ |
denotes |
nationwide |
tok42 |
103-104 |
. |
denotes |
. |