Id |
Subject |
Object |
Predicate |
Lexical cue |
tok1 |
0-8 |
NNP |
denotes |
Clinical |
tok2 |
9-24 |
NNP |
denotes |
Characteristics |
tok3 |
25-27 |
IN |
denotes |
of |
tok4 |
28-31 |
CD |
denotes |
138 |
tok5 |
32-44 |
NNP |
denotes |
Hospitalized |
tok6 |
45-53 |
NNS |
denotes |
Patients |
tok7 |
54-58 |
IN |
denotes |
With |
lookup1 |
54-58 |
stop |
denotes |
With |
tok8 |
59-63 |
CD |
denotes |
2019 |
lookup2 |
59-63 |
year |
denotes |
2019 |
tok9 |
64-69 |
NNP |
denotes |
Novel |
tok10 |
70-82 |
NNP |
denotes |
Coronavirus- |
tok11 |
82-90 |
NNP |
denotes |
Infected |
tok12 |
91-100 |
NNP |
denotes |
Pneumonia |
tok13 |
101-103 |
IN |
denotes |
in |
lookup3 |
101-103 |
country_code |
denotes |
in |
tok14 |
104-109 |
NNP |
denotes |
Wuhan |
lookup4 |
104-109 |
location |
denotes |
Wuhan |
tok15 |
109-110 |
, |
denotes |
, |
tok16 |
111-116 |
NNP |
denotes |
China |
lookup5 |
111-116 |
location |
denotes |
China |
tok17 |
116-117 |
. |
denotes |
. |
tok18 |
118-128 |
NNP |
denotes |
Importance |
tok19 |
128-129 |
: |
denotes |
: |
tok20 |
130-132 |
IN |
denotes |
In |
tok21 |
133-141 |
NNP |
denotes |
December |
lookup6 |
133-141 |
date |
denotes |
December |
tok22 |
142-146 |
CD |
denotes |
2019 |
lookup7 |
142-146 |
year |
denotes |
2019 |
tok23 |
146-147 |
, |
denotes |
, |
tok24 |
148-153 |
JJ |
denotes |
novel |
tok25 |
154-165 |
JJ |
denotes |
coronavirus |
tok26 |
166-167 |
( |
denotes |
( |
tok27 |
167-171 |
CD |
denotes |
2019 |
lookup8 |
167-171 |
year |
denotes |
2019 |
tok28 |
171-172 |
: |
denotes |
- |
tok29 |
172-176 |
NN |
denotes |
nCoV |
tok30 |
176-177 |
) |
denotes |
) |
tok31 |
177-178 |
: |
denotes |
- |
tok32 |
178-186 |
JJ |
denotes |
infected |
tok33 |
187-196 |
NN |
denotes |
pneumonia |
tok34 |
197-198 |
( |
denotes |
( |
tok35 |
198-202 |
NNP |
denotes |
NCIP |
tok36 |
202-203 |
) |
denotes |
) |
tok37 |
204-212 |
VBD |
denotes |
occurred |
event9 |
204-212 |
OCCURRENCE |
denotes |
occurred |
tok38 |
213-215 |
IN |
denotes |
in |
lookup9 |
213-215 |
country_code |
denotes |
in |