Id |
Subject |
Object |
Predicate |
Lexical cue |
tok1 |
0-6 |
NNP |
denotes |
COVID- |
tok2 |
6-8 |
CD |
denotes |
19 |
tok3 |
8-9 |
, |
denotes |
, |
tok4 |
10-14 |
NNP |
denotes |
SARS |
tok5 |
15-18 |
CC |
denotes |
and |
tok6 |
19-23 |
NNP |
denotes |
MERS |
tok7 |
23-24 |
: |
denotes |
: |
tok8 |
25-28 |
VBP |
denotes |
are |
tok9 |
29-33 |
PRP |
denotes |
they |
tok10 |
34-41 |
RB |
denotes |
closely |
tok11 |
42-49 |
VBD |
denotes |
related |
event12 |
42-49 |
STATE |
denotes |
related |
tok12 |
49-50 |
. |
denotes |
? |
tok13 |
51-61 |
NNP |
denotes |
BACKGROUND |
tok14 |
61-62 |
: |
denotes |
: |
tok15 |
63-66 |
DT |
denotes |
The |
tok16 |
67-71 |
CD |
denotes |
2019 |
lookup1 |
67-71 |
year |
denotes |
2019 |
tok17 |
72-77 |
NN |
denotes |
novel |
tok18 |
78-89 |
JJ |
denotes |
coronavirus |
tok19 |
90-91 |
( |
denotes |
( |
tok20 |
91-100 |
NNP |
denotes |
SARS-CoV- |
tok21 |
100-101 |
LS |
denotes |
2 |
tok22 |
101-102 |
) |
denotes |
) |
tok23 |
103-105 |
VBZ |
denotes |
is |
lookup2 |
103-105 |
country_code |
denotes |
is |
tok24 |
106-107 |
DT |
denotes |
a |
tok25 |
108-111 |
JJ |
denotes |
new |
tok26 |
112-117 |
JJ |
denotes |
human |
tok27 |
118-129 |
JJ |
denotes |
coronavirus |
tok28 |
130-135 |
WDT |
denotes |
which |
tok29 |
136-138 |
VBZ |
denotes |
is |
lookup3 |
136-138 |
country_code |
denotes |
is |
tok30 |
139-148 |
VBG |
denotes |
spreading |
event13 |
139-148 |
OCCURRENCE |
denotes |
spreading |
tok31 |
149-153 |
IN |
denotes |
with |
tok32 |
154-162 |
NN |
denotes |
epidemic |