Id |
Subject |
Object |
Predicate |
Lexical cue |
tok1 |
0-10 |
NNP |
denotes |
Quarantine |
tok2 |
11-18 |
NNP |
denotes |
Vehicle |
tok3 |
19-29 |
NNP |
denotes |
Scheduling |
tok4 |
30-33 |
IN |
denotes |
for |
tok5 |
34-46 |
NNP |
denotes |
Transferring |
tok6 |
47-52 |
NNP |
denotes |
High- |
tok7 |
52-56 |
NNP |
denotes |
Risk |
tok8 |
57-68 |
NNS |
denotes |
Individuals |
tok9 |
69-71 |
IN |
denotes |
in |
lookup1 |
69-71 |
country_code |
denotes |
in |
tok10 |
72-80 |
NNP |
denotes |
Epidemic |
tok11 |
81-86 |
NNS |
denotes |
Areas |
tok12 |
86-87 |
. |
denotes |
. |
tok13 |
88-90 |
IN |
denotes |
In |
tok14 |
91-92 |
DT |
denotes |
a |
tok15 |
93-104 |
JJ |
denotes |
large-scale |
tok16 |
105-113 |
NN |
denotes |
epidemic |
tok17 |
114-122 |
NN |
denotes |
outbreak |
tok18 |
122-123 |
, |
denotes |
, |
tok19 |
124-129 |
EX |
denotes |
there |
tok20 |
130-133 |
MD |
denotes |
can |
tok21 |
134-136 |
VB |
denotes |
be |
lookup2 |
134-136 |
country_code |
denotes |
be |
tok22 |
137-141 |
JJ |
denotes |
many |
tok23 |
142-151 |
JJ |
denotes |
high-risk |
tok24 |
152-163 |
NNS |
denotes |
individuals |
tok25 |
164-166 |
TO |
denotes |
to |
lookup3 |
164-166 |
country_code |
denotes |
to |