Id |
Subject |
Object |
Predicate |
Lexical cue |
tok94 |
0-2 |
DT |
denotes |
An |
tok95 |
3-13 |
JJ |
denotes |
infectious |
tok96 |
14-21 |
NN |
denotes |
disease |
tok97 |
22-30 |
NNS |
denotes |
dynamics |
tok98 |
31-35 |
NNP |
denotes |
SEIR |
tok99 |
36-37 |
( |
denotes |
( |
tok100 |
37-48 |
NNP |
denotes |
Susceptible |
tok101 |
48-49 |
, |
denotes |
, |
tok102 |
50-57 |
NNP |
denotes |
Exposed |
tok103 |
57-58 |
, |
denotes |
, |
tok104 |
59-69 |
NNP |
denotes |
Infectious |
tok105 |
69-70 |
, |
denotes |
, |
tok106 |
71-74 |
CC |
denotes |
and |
tok107 |
75-82 |
VBN |
denotes |
Removed |
tok108 |
82-83 |
) |
denotes |
) |
tok109 |
84-89 |
NN |
denotes |
model |
lookup21 |
84-89 |
jobtitle |
denotes |
model |
tok110 |
90-93 |
VBD |
denotes |
was |
tok111 |
94-101 |
VBN |
denotes |
applied |
event25 |
94-101 |
OCCURRENCE |
denotes |
applied |
tok112 |
102-104 |
TO |
denotes |
to |
lookup22 |
102-104 |
country_code |
denotes |
to |
tok113 |
105-113 |
VB |
denotes |
estimate |
event20 |
105-113 |
OCCURRENCE |
denotes |
estimate |
tok114 |
114-117 |
DT |
denotes |
the |
tok115 |
118-126 |
NN |
denotes |
epidemic |
tok116 |
127-132 |
NN |
denotes |
trend |
tok117 |
133-135 |
IN |
denotes |
in |
lookup23 |
133-135 |
country_code |
denotes |
in |
tok118 |
136-141 |
NNP |
denotes |
Wuhan |
lookup24 |
136-141 |
location |
denotes |
Wuhan |
tok119 |
141-142 |
, |
denotes |
, |
tok120 |
143-148 |
NNP |
denotes |
China |
lookup25 |
143-148 |
location |
denotes |
China |
tok121 |
149-154 |
IN |
denotes |
under |
tok122 |
155-158 |
CD |
denotes |
two |
lookup26 |
155-158 |
time |
denotes |
two |
lookup27 |
155-158 |
number |
denotes |
two |
tok123 |
159-170 |
NNS |
denotes |
assumptions |
tok124 |
171-173 |
IN |
denotes |
of |
tok125 |
174-175 |
NN |
denotes |
R |