Id |
Subject |
Object |
Predicate |
Lexical cue |
tok3 |
1-3 |
IN |
denotes |
of |
tok4 |
4-12 |
JJ |
denotes |
clinical |
tok5 |
13-21 |
NNS |
denotes |
features |
tok6 |
22-24 |
IN |
denotes |
of |
tok7 |
25-27 |
CD |
denotes |
29 |
tok8 |
28-36 |
NNS |
denotes |
patients |
tok9 |
37-41 |
IN |
denotes |
with |
tok10 |
42-46 |
CD |
denotes |
2019 |
lookup1 |
42-46 |
year |
denotes |
2019 |
tok11 |
47-52 |
NN |
denotes |
novel |
tok12 |
53-64 |
JJ |
denotes |
coronavirus |
tok13 |
65-74 |
NN |
denotes |
pneumonia |
tok14 |
74-75 |
NN |
denotes |
] |
tok15 |
75-76 |
. |
denotes |
. |
tok16 |
77-86 |
NNP |
denotes |
Objective |
tok17 |
86-87 |
: |
denotes |
: |
tok18 |
88-90 |
TO |
denotes |
To |
tok19 |
91-98 |
VB |
denotes |
analyze |
event22 |
91-98 |
OCCURRENCE |
denotes |
analyze |
tok20 |
99-102 |
DT |
denotes |
the |
tok21 |
103-111 |
JJ |
denotes |
clinical |
tok22 |
112-127 |
NNS |
denotes |
characteristics |
tok23 |
128-130 |
IN |
denotes |
of |
tok24 |
131-135 |
CD |
denotes |
2019 |
lookup2 |
131-135 |
year |
denotes |
2019 |
tok25 |
136-141 |
NN |
denotes |
novel |
tok26 |
142-153 |
JJ |
denotes |
coronavirus |
tok27 |
154-155 |
( |
denotes |
( |
tok28 |
155-159 |
CD |
denotes |
2019 |
lookup3 |
155-159 |
year |
denotes |
2019 |
tok29 |
159-160 |
: |
denotes |
- |
tok30 |
160-164 |
NN |
denotes |
nCoV |
tok31 |
164-165 |
) |
denotes |
) |
tok32 |
166-175 |
NN |
denotes |
pneumonia |
tok33 |
176-179 |
CC |
denotes |
and |
tok34 |
180-182 |
TO |
denotes |
to |
lookup4 |
180-182 |
country_code |
denotes |
to |
tok35 |
183-194 |
VB |
denotes |
investigate |
event2 |
183-194 |
I_ACTION |
denotes |
investigate |
tok36 |
195-198 |
DT |
denotes |
the |
tok37 |
199-210 |
NN |
denotes |
correlation |