Id |
Subject |
Object |
Predicate |
Lexical cue |
tok355 |
0-6 |
NNP |
denotes |
Social |
tok356 |
7-15 |
NN |
denotes |
activity |
tok357 |
16-23 |
NN |
denotes |
cluster |
tok358 |
23-24 |
, |
denotes |
, |
tok359 |
25-31 |
NN |
denotes |
family |
tok360 |
32-39 |
NN |
denotes |
cluster |
tok361 |
40-43 |
CC |
denotes |
and |
tok362 |
44-50 |
NN |
denotes |
travel |
tok363 |
51-53 |
IN |
denotes |
by |
lookup55 |
51-53 |
country_code |
denotes |
by |
tok364 |
54-62 |
NN |
denotes |
airplane |
tok365 |
63-67 |
VBD |
denotes |
were |
tok366 |
68-71 |
WRB |
denotes |
how |
tok367 |
72-78 |
NNP |
denotes |
COVID- |
tok368 |
78-80 |
CD |
denotes |
19 |
tok369 |
81-89 |
NNS |
denotes |
patients |
tok370 |
90-93 |
VBP |
denotes |
get |
event2 |
90-93 |
OCCURRENCE |
denotes |
get |
tok371 |
94-105 |
VBD |
denotes |
transmitted |
tok372 |
106-109 |
CC |
denotes |
and |
tok373 |
110-115 |
MD |
denotes |
could |
tok374 |
116-118 |
VB |
denotes |
be |
lookup56 |
116-118 |
country_code |
denotes |
be |
tok375 |
119-126 |
RB |
denotes |
rapidly |
tok376 |
127-136 |
VBN |
denotes |
diagnosed |
tok377 |
137-143 |
NNP |
denotes |
COVID- |
tok378 |
143-145 |
CD |
denotes |
19 |
tok379 |
146-148 |
IN |
denotes |
in |
lookup57 |
146-148 |
country_code |
denotes |
in |
tok380 |
149-157 |
NNP |
denotes |
Zhejiang |
lookup58 |
149-157 |
location |
denotes |
Zhejiang |
tok381 |
157-158 |
. |
denotes |
. |