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1
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S
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ki
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[
6]
.
2.
2
.
Tr
an
s
fo
r
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r
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gu
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nn
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9]
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Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2088
-
8708
Int
J
E
l
e
c
&
Co
m
p
E
n
g
,
V
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.
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4362
4354
T
a
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LPpAJSFPePnGOD
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LOKASI (L)
In
E
n
g
l
i
s
h
LOCATION
U
s
e
d
t
o
e
x
t
ra
c
t
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o
c
a
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i
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n
a
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d
T
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l
e
i
s
Location (x
, y
)
probability of location
.
POPULASI
PENYAKIT (Pp)
In
E
n
g
l
i
s
h
DISEASE
POPULATION
U
s
e
d
t
o
p
e
r
fo
r
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e
x
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ra
c
t
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re
c
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g
n
i
t
i
o
n
.
T
h
e
ru
l
e
i
s
Disease
population
(x
,
y
)
biological
pr
obability
named
entity
recognition (biological NER).
AKIBAT (A)
In
E
n
g
l
i
s
h
EFFECT
U
s
e
d
t
o
p
e
r
f
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s
.
T
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ru
l
e
i
s
Effect (x
, y
)
disease_population (x), lo
cation (y).
JUMLAH
KEJADIAN (J)
In
E
n
g
l
i
s
h
SUM OF EVENTS
U
s
e
d
t
o
p
e
r
f
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d
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a
s
e
s
.
T
h
e
ru
l
e
i
s
Sum_of_events (x
, y
)
effect (x
, y
).
SEBAB (S)
In
E
n
g
l
i
s
h
CAUSE
U
s
e
d
t
o
p
e
r
fo
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Cause_1
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;
C
a
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e
_
2
(
x
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ts(x), location(y).
FASILITAS (F)
In
E
n
g
l
i
s
h
FACILITY
U
s
e
d
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l
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s
a
r
e
Facility_1
(x
,
y
)
disease_population
(x),
sum_of_events(y);
Facility_2 (x
, y
)
effect(x
, y
); Facility_3 (x
, y
)
cause_1(x
, y
).
PEMULIHAN (Pe)
In
E
n
g
l
i
s
h
RECOVERY
U
s
e
d
t
o
s
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l
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h
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s
a
r
e
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,
y
)
;
R
e
s
t
i
t
u
t
i
o
n
_
2
(
x
,
y
)
facility(x), location(y).
PENANGGUNG
JAWAB (Pn)
In
E
n
g
l
i
s
h
RESPONSIBLE
PERSON
U
s
e
d
t
o
s
u
b
j
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c
t
e
x
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ra
c
t
i
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w
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.
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h
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ru
l
e
s
a
re
Responsible_person_1
(x,y)
facility_1
(x,y);
Responsible_person_2
(x,y)
cause_3
(x,y);
respo
nsible_person
(x,y)
effect(x), facility(y)
GEJALA (G)
In
E
n
g
l
i
s
h
SYMPTOMS
U
s
e
d
t
o
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x
t
ra
c
t
i
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d
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p
a
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.
T
h
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l
e
s
a
re
Symptoms
(x,y)
disease_population
(x
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Symptoms
(x,y)
disease_population (x,y)
OBAT (O)
In
E
n
g
l
i
s
h
DRUGS
U
s
e
d
t
o
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n
fo
r
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.
T
h
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ru
l
e
is
Drugs (x,y)
cause_1(x), recovery(y)
DIAGNOSA (D)
In
E
n
g
l
i
s
h
DIAGNOSE
U
s
e
d
t
o
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x
t
ra
c
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i
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l
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i
s
diagnosis (x,y)
disease_population (x),
symptoms(y)
2.
3
.
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Evaluation Warning : The document was created with Spire.PDF for Python.
Int
J
E
l
e
c
&
Co
m
p
E
n
g
IS
S
N
:
2088
-
8708
L
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E
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2.
4
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IS
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Int
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In Bahasa
<Demam Berdarah Dengeu (DBD)> / NN
kembali
/ SC
<memakan korban jiwa> / VB + (NEG)
di / IN
Kota Pekanbaru. / NNP
Seorang bocah perempuan / NNP
berusia / CD
tujuh tahun / CD
bernama / DT
Nursabrina / NNP
<meninggal dunia> / VB + (NEG)
akibat / SC
<gigitan nyamuk Aides Aigepty>. / VB + (NEG)
In English
<Dengue Hemorrhagic Fever (DHF)> / NN
return / SC
<casualties> / VB + (NEG)
in / IN
Pekanbaru City. / NNP
A girl / NNP
old / CD
seven years / CD
named / DT
Nursabrina / NNP
<dies> / VB + (NEG)
effect / SC
<Aides Ai
gepty's mosquito bites>. / VB +
(NEG)
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Words positions there is in the explanatory paragraph and core paragraph.
Effect pattern identification
effect entity = [words has a negative meaning]
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t
i
c
a
l
c
o
nn
e
c
t
i
v
i
t
y
Training data
Insert two sentences that have a relationship and each other’s has a class
classification results
1.
sentences A = [cause]
2.
sentences B = [facility]
3.
sentences C = [effect]
4.
sentences D = [sum of event]
5.
sentences E =
[responsible person]
6.
sentences F = [population disease]
7.
sentences G = [effect]
8.
sentences A and sentences G = [causal]
Evaluation Warning : The document was created with Spire.PDF for Python.
Int
J
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&
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IS
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2088
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8708
L
e
v
e
r
ag
i
ng
gr
aph
-
bas
e
d
s
e
m
an
t
i
c
a
nnot
at
i
on
f
or
t
he
i
de
n
t
i
f
i
c
at
i
on
of
…
(
Sus
e
t
y
o
B
agas
B
has
k
or
o
)
4359
P
s
e
udo
c
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de
w
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r
d
-
b
a
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d
s
t
a
t
i
s
t
i
c
a
l
c
o
nn
e
c
t
i
v
i
t
y
Getting words connectivity by several techniques
Technique A
Using paragraph classes
Explanatory paragraph
–
core paragraph
Ex
planatory paragraph
–
supporting paragraph
Core paragraph
–
explanatory paragraph
Finding a derivative word or meaning of the same words that often appear
The word is repeated at the end of the sentence
Technique B
Medical element of entity = words has
confidence value (association) = 0.2
T
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r
n
R1
Di [LOKASI] bagian dari [LOKASI]
Knowledge pattern in English:
At [LOCATION] part of [LOCATION]
R2
Terdapat
kejadian sejumlah [JUMLAH KEJADIAN]
dari [POPULASI PENYAKIT]
Knowledge pattern in English:
Sum of events [SUM OF EVENTS] from [DISEASE POPULATION]
R3
Mengakibatkan [AKIBAT]
Knowledge pattern in English:
Result in [EFFECT]
R4
[AKIBAT] tersebut dikarenakan [SEBAB] dan terjangkit [POPULASI PE
NYAKIT]
Knowledge pattern in English:
[
EFFECT] because of [CAUSE] and infected [DISEASE POPULATION]
R5
Menurut [PENANGGUNG JAWAB] dari [LOKA
SI], penanganannya dengan cara
[PEMULIHAN]
yang diberikan oleh [FASILITAS]
Knowledge pattern in English:
By
[RESPONSIBLE PERSON] from [LOCATION], handling by means [RECOVERY] given by
[FACILITIES]
R6
Di [LOKASI] bagian dari [LOKASI]
Knowledge pattern in English:
At [LOCATION] part of [LOCATION]
R7
Terdapat
kejadian sejumlah [JUMLAH KEJADIAN] dari [POPULASI PEN
YAKIT]
Knowledge pattern in English:
Sum of events [ SUM OF EVENTS] from [DISEASE POPULATION]
R8
Mengakibatkan [AKIBAT] di bagian [GEJALA] yang merupakan bagian dari [GEJALA]
Knowledge pattern in English:
Result in [EFFECT] in the [SYMPTOM] which is part
of [SYMPTOM]
R9
[AKIBAT] tersebut dikarenakan [SEBAB] dan terjangkit [POPULASI PENYAKIT]
Knowledge pattern in English:
[EFFECT] because of [CAUSE] and infected [DISEASE POPULATION]
R10
Menurut [PENANGGUNG JAWAB] dari [LOKASI], penanganannya dengan
cara [
PEMULIHAN]
yang diberikan oleh [FASILITAS]
Knowledge pattern in English:
By [RESPONSIBLE PERSON] from [LOCATION], handling by means [RECOVERY] given by
[FACILITIES]
R11
Obat yang dikonsumsi [OBAT] karena didiagnosa yang diberikan ahli adalah
[DIAGNOSA]
Kn
owledge pattern in English:
Medicine consumed [DRUG] because being diagnosed by an expert is [DIAGNOSIS]
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s
[2
6]:
Di <Desa Sigedong Kabupaten Temanggung> terdapat seorang meninggal dunia karena
Diare. Sebagai penanggulangannya Dinkes Temanggung telah mendirikan
Posko dan
melakukan sosialisasi untuk menerapkan hidup bersih dan sehat.
In English:
In Sigedong Village, Temanggung Regency, one person died of Diarrhea. As a response,
the Temanggung Health Office has established a Command Post and conducted
socializatio
n to implement a clean and healthy life.
Evaluation Warning : The document was created with Spire.PDF for Python.
IS
S
N
:
2088
-
8708
Int
J
E
l
e
c
&
Co
m
p
E
n
g
,
V
o
l
.
10
,
N
o
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4
,
A
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t
2
020
:
43
52
-
4362
4360
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#
E1
E2
E3
E4
E5
a
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o
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a
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Evaluation Warning : The document was created with Spire.PDF for Python.
Int
J
E
l
e
c
&
Co
m
p
E
n
g
IS
S
N
:
2088
-
8708
L
e
v
e
r
ag
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EF
ER
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[
1]
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.
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kba
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,
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.
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,
a
nd
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.
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n
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r
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at
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e
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on
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pu
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and
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u
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om
a
t
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on
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ng
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ne
e
r
i
n
g
,
v
o
l
.
1
,
pp.
1
5
-
19,
20
10
.
[
2]
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.
H
i
de
y
a
nd
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.
M
c
ke
o
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n,
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de
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n
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ual
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e
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or
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ona
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ui
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c
s
,
pp
.
1
424
–
1433
,
201
6.
[
3]
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.
R
i
a
z
a
nd
R
.
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i
r
j
u,
“
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e
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y
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n
V
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e
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t
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c
s
,
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i
n
E
A
C
L
2014
W
or
k
s
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on
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om
pu
t
a
t
i
ona
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he
s
t
o
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aus
al
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t
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n
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guage
(
C
A
t
oC
L
)
,
no
.
1
,
pp
.
48
-
57
,
2
014
.
[
4]
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.
H
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n
a
w
a
,
A
.
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a
s
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ki
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.
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k
a
z
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ki
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nd
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.
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nui
,
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C
r
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c
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ppr
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a
c
h
f
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r
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t
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t
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ng
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s
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l
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t
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nc
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s
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n
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i
ki
pe
d
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a
,
”
i
n
T
he
31
s
t
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f
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c
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s
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a
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onf
e
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nc
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o
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uage
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n
f
or
m
a
t
i
on
a
nd
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om
pu
t
a
t
i
on
,
pp.
33
6
-
345,
2
016
.
[
5]
J
.
A
t
k
i
ns
o
n
a
nd
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.
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i
v
a
s
,
“
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v
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ng
no
v
e
l
c
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us
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l
pa
t
t
e
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ns
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r
o
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bi
o
m
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t
ur
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l
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ua
g
e
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e
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ng
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y
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s
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a
n
n
e
t
s
,
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E
E
E
T
r
ans
.
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n
f
.
T
e
c
h
nol
.
B
i
om
e
d
,
v
o
l
.
12
,
no
.
6
,
p
p.
714
–
722
,
200
8.
[
6]
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.
H
.
S
.
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us
e
t
y
o
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a
g
a
s
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ha
s
ko
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a
i
f
ul
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kba
r
,
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nha
nc
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ng
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e
r
f
o
r
m
a
nc
e
i
n
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e
d
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c
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um
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r
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ul
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t
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t
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o
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”
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nt
e
r
n
at
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on
al
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o
ur
n
al
o
f
E
l
e
c
t
r
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c
a
l
and
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om
put
e
r
E
ng
i
ne
e
r
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ng
(
I
J
E
C
E
)
,
v
o
l
.
8
,
no
.
4,
pp.
22
99
-
2309
,
201
8.
[
7]
C
.
M
i
h
ǎ
i
l
ǎ
,
T
.
O
ht
a
,
S
.
P
y
y
s
a
l
o
,
a
nd
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.
A
na
n
i
a
do
u,
“
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i
o
C
a
us
e
:
A
nno
t
a
t
i
ng
a
nd
a
na
l
y
s
i
ng
c
a
us
a
l
i
t
y
i
n
t
he
b
i
o
m
e
di
c
a
l
do
m
a
i
n
,
”
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M
C
B
i
o
i
n
f
o
r
m
at
i
c
s
,
v
o
l
.
1
4,
no
.
2
,
p
p.
1
-
18,
20
13.
[
8]
K
.
B
y
r
d,
A
.
M
a
n
s
u
r
o
v
,
a
n
d
O
.
B
a
y
s
a
l
,
“
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i
n
i
ng
T
w
i
t
t
e
r
d
a
t
a
f
o
r
i
nf
l
ue
nz
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d
e
t
e
c
t
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o
n
a
n
d
s
u
r
v
e
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l
l
a
nc
e
,
”
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r
oc
.
I
n
t
.
W
or
k
.
S
of
t
w
.
E
n
g.
H
e
al
t
hc
.
Sy
s
t
.
-
SE
H
S
’
1
6
,
pp
.
43
–
49,
2
016
.
[
9]
L
.
W
u,
T
.
-
S
.
M
o
h,
a
n
d
N
.
K
h
ur
i
,
“
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w
i
t
t
e
r
o
pi
ni
o
n
m
i
ni
ng
f
o
r
a
dv
e
r
s
e
d
r
ug
r
e
a
c
t
i
o
ns
,
”
20
15
I
E
E
E
I
n
t
.
C
o
nf
.
B
i
g
D
at
a
(
B
i
g
D
at
a)
,
pp
.
1570
-
15
74,
2
015
.
[
10]
Y
.
J
i
e
t
a
l
.
,
“
A
po
t
e
nt
i
a
l
c
a
u
s
a
l
a
s
s
o
c
i
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t
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ni
ng
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l
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o
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t
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f
o
r
s
c
r
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e
n
i
ng
a
dv
e
r
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e
d
r
ug
r
e
a
c
t
i
o
ns
i
n
po
s
t
m
a
r
ke
t
i
ng
s
ur
v
e
i
l
l
a
nc
e
,
”
I
E
E
E
T
r
ans
.
I
n
f
.
T
e
c
h
nol
.
B
i
om
e
d
,
vo
l
.
15
,
no
.
3,
pp
.
428
-
437
,
2011
.
[
11]
A
.
J
.
Y
e
pe
s
,
A
.
M
a
c
K
i
n
l
a
y
,
a
nd
B
.
H
a
n
,
“
I
nv
e
s
t
i
g
a
t
i
ng
P
ub
l
i
c
H
e
a
l
t
h
S
ur
v
e
i
l
l
a
nc
e
us
i
ng
T
w
i
t
t
e
r
,
”
P
r
oc
.
2
015
W
or
k
.
B
i
om
e
d.
N
a
t
.
L
an
g.
P
r
oc
e
s
s
.
(
B
i
oN
L
P
20
15)
,
B
e
i
j
i
ng
,
C
hi
na
,
J
u
l
y
30
,
201
5
,
no
.
B
i
o
N
L
P
,
pp
.
164
–
170
,
201
5.
[
12]
S
.
B
.
B
ha
s
ko
r
o
,
S
.
A
kba
r
,
a
nd
S
.
H
.
S
upa
ng
ka
t
,
“
I
de
nt
i
f
i
c
a
t
i
o
n
o
f
C
a
us
a
l
P
a
t
t
e
r
n
us
i
ng
O
p
i
ni
o
n
A
na
l
y
s
i
s
i
n
I
nd
o
ne
s
i
a
n
M
e
d
i
c
a
l
T
e
xt
s
,
”
i
n
2
015
I
n
t
e
r
nat
i
o
nal
C
on
f
e
r
e
nc
e
on
I
nf
or
m
at
i
on
T
e
c
hno
l
og
y
Sy
s
t
e
m
s
and
I
nn
ov
a
t
i
on
(
I
C
I
T
SI
)
,
p
p.
1
–
7
,
20
15
.
[
13]
S.
-
L
.
H
s
i
e
h
,
W
.
-
Y
.
C
h
a
ng
,
C
.
-
H
.
C
h
e
n
,
a
nd
Y
.
-
C
.
W
e
ng
,
“
S
e
m
a
nt
i
c
s
i
m
i
l
a
r
i
t
y
m
e
a
s
ur
e
s
i
n
t
h
e
bi
o
m
e
di
c
a
l
do
m
a
i
n
b
y
l
e
v
e
r
a
g
i
ng
a
w
e
b
s
e
a
r
c
h
e
ng
i
n
e
.
,
”
I
E
E
E
J
.
B
i
om
e
d.
H
e
al
.
i
nf
or
m
at
i
c
s
,
v
o
l
.
17
,
no
.
4,
pp
.
853
-
86
1
,
20
13.
[
14]
N
.
M
o
s
t
a
f
a
z
a
de
h
,
A
.
G
r
e
a
l
i
s
h
,
N
.
C
ha
m
b
e
r
s
,
J
.
A
l
l
e
n,
a
nd
L
.
V
a
nde
r
w
e
nd
e
,
“
C
a
T
e
R
S
:
C
a
us
a
l
a
nd
T
e
m
po
r
a
l
R
e
l
a
t
i
o
n
S
c
he
m
e
f
o
r
S
e
m
a
n
t
i
c
A
nno
t
a
t
i
o
n
o
f
E
v
e
nt
S
t
r
uc
t
ur
e
s
,
”
P
r
oc
e
e
di
ngs
o
f
t
he
4t
h
W
or
k
s
ho
p
on
E
v
e
nt
s
:
D
e
f
i
ni
t
i
on
,
D
e
t
e
c
t
i
on
,
C
or
e
f
e
r
e
nc
e
,
and
R
e
pr
e
s
e
nt
a
t
i
on
,
pp.
5
1
–
61
,
2016
.
[
15]
A
.
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