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Ke
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ar
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o
cu
m
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[
1
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2
]
.
Ke
y
w
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s
ar
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p
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ch
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atc
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[
3
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,
d
o
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t
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t
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o
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[
4
]
,
d
o
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t
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r
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w
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[
5
]
,
an
d
d
o
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m
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t
s
u
m
m
ar
izatio
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[
6
]
.
Ho
w
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k
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id
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ab
le
ti
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e
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f
f
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[
2
,
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]
.
Mo
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s
u
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tiv
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o
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h
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.
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to
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k
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cr
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[
5
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8
].
Ke
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9
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O
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T
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p
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tr
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Vo
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18
,
No
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4
,
A
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s
t 2
0
2
0
:
1
9
1
7
-
1
9
2
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1918
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1
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1
1
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Kar
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[
1
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T
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a
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J
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[
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o
t
as
g
o
o
d
as
u
s
i
n
g
I
D
F.
W
e
co
n
s
id
er
ed
T
F
as
a
s
ce
n
ar
io
in
o
u
r
s
tu
d
y
,
b
u
t
w
e
ar
g
u
e
th
a
t
u
s
i
n
g
a
class
i
f
icatio
n
ap
p
r
o
a
ch
w
it
h
m
ac
h
i
n
e
lear
n
i
n
g
i
n
k
e
y
wo
r
d
ex
tr
ac
tio
n
co
u
ld
b
e
tr
o
u
b
leso
m
e
d
u
e
to
th
e
p
o
s
s
ib
le
i
m
b
ala
n
ce
s
e
t b
etw
ee
n
k
e
y
w
o
r
d
an
d
n
o
n
-
k
e
y
wo
r
d
ca
n
d
id
ates.
An
o
th
er
m
e
th
o
d
r
an
k
s
ca
n
d
id
ate
k
e
y
w
o
r
d
s
to
d
eter
m
i
n
e
k
e
y
w
o
r
d
s
f
r
o
m
a
s
in
g
le
d
o
cu
m
e
n
t
b
ased
o
n
th
e
s
tat
is
tical
f
ea
t
u
r
es
o
f
t
h
e
d
o
cu
m
en
t
co
n
te
n
t.
Fo
r
ex
a
m
p
le,
I
m
r
a
n
et
al.
[
1
4
]
p
r
o
p
o
s
ed
a
lin
g
u
i
s
tic
-
b
ased
m
o
d
el
ca
lled
v
is
u
al
n
es
s
w
i
th
les
k
d
is
a
m
b
i
g
u
a
tio
n
(
V
L
D)
to
g
at
h
er
ca
n
d
id
ate
k
e
y
w
o
r
d
s
f
o
llo
w
ed
b
y
w
o
r
d
s
en
s
e
d
is
a
m
b
ig
u
atio
n
an
d
v
is
u
al
s
i
m
ilar
it
y
to
d
eter
m
i
n
e
t
h
e
i
m
p
o
r
tan
t
k
e
y
w
o
r
d
s
.
C
o
m
b
i
n
in
g
s
tati
s
tic
al
a
n
d
lin
g
u
i
s
tic
s
ap
p
r
o
ac
h
es,
th
e
to
p
ca
n
d
id
ate
o
f
k
e
y
w
o
r
d
s
ar
e
ac
q
u
ir
ed
b
y
m
ea
s
u
r
i
n
g
h
o
w
w
ell
t
h
e
ca
n
d
id
ate
s
d
escr
ib
e
th
e
d
o
cu
m
en
t
titl
e.
Un
f
o
r
tu
n
atel
y
,
th
i
s
tec
h
n
iq
u
e
o
n
l
y
ab
le
to
g
e
n
er
ate
s
i
n
g
l
e
-
w
o
r
d
k
e
y
w
o
r
d
s
,
w
h
er
ea
s
,
i
n
r
ea
lit
y
,
it i
s
co
m
m
o
n
f
o
r
a
k
e
y
w
o
r
d
to
h
av
e
m
o
r
e
th
an
o
n
e
w
o
r
d
[
1
5
].
An
o
th
er
ap
p
r
o
ac
h
ca
lled
T
ex
tR
a
n
k
i
s
p
r
o
p
o
s
ed
b
y
Mi
h
alce
a
a
n
d
T
ar
au
[
1
6
]
.
T
h
i
s
m
eth
o
d
tr
an
s
f
o
r
m
ed
th
e
d
o
cu
m
en
t
tex
t
in
to
a
g
r
ap
h
i
n
w
h
ich
th
e
n
o
d
es
ar
e
th
e
w
o
r
d
s
an
d
th
e
ed
g
es
ar
e
th
e
co
-
o
cc
u
r
r
en
ce
b
et
w
ee
n
co
r
r
esp
o
n
d
in
g
w
o
r
d
s
in
s
e
v
er
al
s
izes
o
f
w
i
n
d
o
w
s
.
T
ex
tR
an
k
i
s
th
e
n
m
o
d
if
ied
in
to
Sin
g
le
R
an
k
an
d
E
x
p
a
n
d
R
an
k
[
1
7
]
w
h
ic
h
co
u
ld
g
i
v
e
an
i
m
p
r
o
v
ed
r
esu
lt
o
v
er
T
ex
tR
an
k
b
u
t
w
er
e
s
til
l
o
u
tp
er
f
o
r
m
ed
b
y
th
e
T
F
-
I
D
F
ap
p
r
o
ac
h
[
1
8
]
.
T
ex
tR
an
k
i
s
t
h
en
f
u
r
th
er
i
m
p
r
o
v
ed
b
y
L
i
a
n
d
W
an
g
[
1
9
]
w
it
h
k
n
o
w
n
k
e
y
w
o
r
d
s
as
d
o
m
a
in
k
n
o
w
led
g
e
to
g
e
n
er
ate
t
h
e
p
h
r
ase
n
et
w
o
r
k
.
T
h
e
ad
d
itio
n
o
f
d
o
m
ai
n
k
n
o
w
led
g
e
p
r
o
v
id
es
a
b
etter
r
esu
lt
th
an
th
e
o
r
ig
in
al
T
ex
tR
a
n
k
,
b
u
t
d
o
m
ai
n
k
n
o
w
led
g
e
o
f
d
o
cu
m
en
t
is
n
o
t
al
w
a
y
s
av
ailab
le.
O
n
a
s
i
m
ilar
ap
p
r
o
ac
h
u
s
in
g
g
r
ap
h
-
b
ased
,
L
a
h
ir
i
et
al.
[
2
0
]
ex
a
m
i
n
ed
a
n
u
m
b
er
o
f
ce
n
tr
al
it
y
m
ea
s
u
r
es
s
u
ch
a
s
d
eg
r
ee
,
w
e
ig
h
ted
d
eg
r
ee
,
an
d
P
ag
eRan
k
to
d
eter
m
in
e
t
h
e
r
an
k
o
f
k
e
y
w
o
r
d
ca
n
d
id
ates.
T
h
eir
r
esu
lt
s
h
o
w
ed
th
at
ev
e
n
th
o
u
g
h
th
er
e
w
as
an
i
m
p
r
o
v
e
m
e
n
t,
t
h
e
u
s
e
o
f
ce
n
tr
alit
y
m
ea
s
u
r
es
co
u
ld
n
o
t
o
u
tp
er
f
o
r
m
t
h
e
u
s
e
o
f
T
F a
n
d
T
F
-
I
DF.
A
d
if
f
er
en
t
ap
p
r
o
ac
h
i
s
p
r
o
p
o
s
ed
b
y
B
h
o
wm
i
k
[
2
1
]
w
h
i
ch
g
en
er
ate
s
ca
n
d
id
ate
k
e
y
wo
r
d
s
f
r
o
m
th
e
titl
e
an
d
t
h
e
ab
s
tr
ac
t
o
f
a
d
o
cu
m
en
t
u
s
in
g
th
e
P
er
ce
p
tr
o
n
T
r
ain
in
g
R
u
le.
B
h
o
wm
i
k
also
u
s
ed
th
e
lo
ca
tio
n
o
f
k
e
y
w
o
r
d
ca
n
d
id
ates
i
n
a
p
ar
ag
r
ap
h
as
th
e
w
ei
g
h
t
f
o
r
s
elec
ti
n
g
t
h
o
s
e
ca
n
d
id
ate
k
e
y
w
o
r
d
s
.
T
h
e
r
esu
lt
s
h
o
w
ed
th
a
t
u
s
i
n
g
o
n
l
y
th
e
d
o
cu
m
en
t’
s
ab
s
tr
ac
t
i
s
n
o
t
s
u
f
f
icie
n
t
f
o
r
k
e
y
w
o
r
d
s
g
e
n
er
atio
n
.
L
u
et
al.
[
2
2
]
p
r
o
p
o
s
ed
an
o
t
h
er
ap
p
r
o
ac
h
b
y
u
tili
z
in
g
th
e
r
ef
er
e
n
ce
s
o
f
t
h
e
d
o
cu
m
e
n
t
as
th
e
k
e
y
w
o
r
d
s
’
s
o
u
r
ce
u
s
i
n
g
t
h
e
L
o
ca
lMa
x
al
g
o
r
ith
m
.
B
o
th
B
o
wm
i
k
[
2
1
]
an
d
L
u
et
al.
[
2
2
]
p
r
o
v
id
e
d
p
er
f
o
r
m
a
n
ce
ev
al
u
at
io
n
s
b
y
co
m
p
ar
in
g
th
e
g
e
n
er
ated
k
e
y
w
o
r
d
s
w
it
h
th
e
ac
tu
al
k
e
y
w
o
r
d
s
f
r
o
m
th
e
d
o
cu
m
e
n
t
d
ataset.
W
e
ad
o
p
t
th
is
ap
p
r
o
ac
h
to
ev
alu
a
te
th
e
p
er
f
o
r
m
a
n
ce
o
f
o
u
r
k
e
y
w
o
r
d
s
g
en
er
ato
r
.
Dif
f
er
en
t
f
r
o
m
o
t
h
er
p
r
ev
io
u
s
s
tu
d
ie
s
,
Sh
u
k
la
an
d
Ka
k
k
ar
p
r
o
p
o
s
ed
an
ap
p
r
o
ac
h
ca
lled
No
u
n
-
P
h
r
ase
C
h
u
n
k
i
n
g
[
2
3
]
.
T
h
is
m
e
th
o
d
o
n
l
y
co
n
s
id
er
s
n
o
u
n
p
h
r
ases
,
w
h
ic
h
ar
e
m
a
n
u
all
y
s
p
ec
if
ied
,
to
ex
tr
ac
t
p
h
r
ases
f
r
o
m
t
h
e
te
x
t
d
o
cu
m
e
n
t.
T
h
is
ch
u
n
k
i
n
g
m
et
h
o
d
o
n
l
y
ex
tr
ac
ts
ca
n
d
id
ate
k
e
y
w
o
r
d
s
w
i
th
th
e
lo
n
g
e
s
t
p
h
r
ase.
A
ll e
x
tr
ac
ted
ca
n
d
id
ate
k
e
y
w
o
r
d
s
w
er
e
ass
i
g
n
ed
as k
e
y
w
o
r
d
s
,
w
i
th
o
u
t a
n
y
s
elec
t
io
n
s
o
r
ev
alu
atio
n
s
.
T
h
e
p
h
r
ase
ch
u
n
k
i
n
g
m
eth
o
d
is
s
tr
aig
h
tf
o
r
w
ar
d
b
ec
au
s
e
it
u
s
es
p
ar
t
o
f
s
p
ee
ch
(
P
OS)
p
atter
n
s
to
ex
tr
ac
t
t
h
e
k
e
y
w
o
r
d
’
s
p
h
r
ase
s
.
T
h
is
m
et
h
o
d
is
al
s
o
f
lex
ib
le
in
ter
m
s
o
f
p
r
o
v
id
in
g
co
n
tr
o
l
to
d
eter
m
in
e
w
h
ic
h
p
h
r
ase
p
atter
n
s
u
s
ed
to
ex
tr
a
ct
th
e
k
e
y
w
o
r
d
s
.
T
h
e
p
r
ev
io
u
s
p
h
r
a
s
e
ch
u
n
k
i
n
g
m
e
th
o
d
p
r
o
p
o
s
ed
b
y
S
h
u
k
l
a
an
d
Ka
k
k
ar
[
2
3
]
u
s
ed
s
e
v
er
al
s
el
f
-
d
e
f
i
n
ed
p
atter
n
s
.
W
e
ar
g
u
e
t
h
at
u
s
i
n
g
s
elf
-
d
e
f
in
ed
p
atter
n
s
m
a
y
lead
to
th
e
l
i
m
ited
co
v
er
a
g
e
o
f
p
h
r
a
s
e
p
atter
n
p
o
s
s
ib
ilit
ie
s
,
i.e
.
,
s
o
m
e
k
e
y
w
o
r
d
p
atter
n
s
m
a
y
a
p
p
r
o
p
r
iate
b
u
t
n
o
t
s
elec
ted
.
I
n
t
h
is
p
ap
er
,
w
e
p
r
o
p
o
s
ed
to
ad
d
r
ess
th
e
l
i
m
itat
io
n
o
f
t
h
is
p
h
r
ase
c
h
u
n
k
i
n
g
m
eth
o
d
b
y
au
to
m
at
icall
y
g
en
er
ate
p
atter
n
s
u
s
i
n
g
a
co
llectio
n
o
f
d
o
cu
m
en
ts
.
T
h
er
ef
o
r
e,
th
e
co
n
tr
ib
u
ti
o
n
s
o
f
th
i
s
r
esear
ch
ar
e
as f
o
llo
w
s
:
a.
W
e
p
r
o
p
o
s
ed
ap
p
r
o
ac
h
es
f
o
r
g
en
er
ati
n
g
p
h
r
ase
p
atter
n
s
f
r
o
m
a
co
llectio
n
o
f
d
o
cu
m
e
n
t
s
,
as
an
a
lter
n
ati
v
e
to
s
elf
-
d
ef
i
n
ed
p
atter
n
s
p
r
o
p
o
s
ed
b
y
S
h
u
k
la
a
n
d
Kak
k
ar
[
2
3
]
,
b.
W
e
attem
p
ted
to
r
ed
u
ce
th
e
n
u
m
b
er
o
f
k
e
y
w
o
r
d
s
b
y
co
n
d
u
cti
n
g
a
ca
n
d
id
ate
r
ed
u
ctio
n
as
a
p
ar
t
o
f
o
u
r
ex
p
er
i
m
e
n
t,
c.
W
e
co
n
d
u
cted
ex
p
er
i
m
e
n
t
s
u
s
in
g
s
e
v
er
al
k
e
y
w
o
r
d
s
e
x
tr
ac
tio
n
s
ce
n
ar
io
s
,
s
u
ch
as
d
i
f
f
er
en
t
s
o
u
r
ce
s
o
f
k
e
y
w
o
r
d
s
,
ca
n
d
id
ate
k
e
y
w
o
r
d
s
s
elec
tio
n
s
,
an
d
p
h
r
ase
p
atter
n
s
v
ar
iatio
n
s
,
an
d
p
r
o
v
i
d
e
p
er
f
o
r
m
a
n
ce
co
m
p
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et
w
ee
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o
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if
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er
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t sce
n
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s
.
Ou
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ex
p
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ep
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p
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p
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ed
b
y
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h
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k
la
a
n
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Kak
k
ar
[
2
3
]
,
b
u
t
f
o
r
B
ah
asa
I
n
d
o
n
e
s
ia,
w
i
th
s
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v
er
al
ad
j
u
s
t
m
e
n
t
s
:
1
)
w
e
g
e
n
er
at
ed
p
h
r
ase
p
atter
n
s
f
r
o
m
th
e
d
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m
e
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ts
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s
tead
o
f
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
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C
o
m
p
u
t E
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in
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t k
ey
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ex
tr
a
ctio
n
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B
a
h
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s
a
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n
d
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esia
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(
I
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ma
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ya
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Tr
is
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)
1919
u
s
i
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f
-
d
ef
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n
ed
p
atter
n
s
,
2
)
w
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ed
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ce
d
t
h
e
n
u
m
b
er
o
f
y
i
eld
ed
k
e
y
w
o
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d
s
f
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ca
n
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id
a
te
in
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tead
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u
s
i
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g
all
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n
d
id
ates
a
s
k
e
y
w
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d
s
.
C
o
m
p
ar
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to
th
eir
m
et
h
o
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it
h
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e
a
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e
m
e
n
tio
n
ed
ad
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s
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ts
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ased
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o
f
t
h
e
ex
tr
ac
ted
k
e
y
w
o
r
d
s
.
2.
RE
S
E
ARCH
M
E
T
H
O
D
W
e
p
r
o
p
o
s
ed
an
au
to
m
atic
k
e
y
w
o
r
d
ex
tr
ac
tio
n
tec
h
n
iq
u
e
u
s
i
n
g
p
h
r
ase
ch
u
n
k
in
g
.
F
ig
u
r
e
1
s
h
o
w
s
th
e
m
et
h
o
d
o
lo
g
y
o
f
t
h
is
r
e
s
ea
r
ch
.
First,
w
e
co
llected
an
d
p
r
ep
ar
ed
a
co
llectio
n
o
f
d
o
cu
m
en
ts
a
s
o
u
r
d
ata
s
et.
T
h
en
,
w
e
lab
eled
ea
ch
w
o
r
d
in
ev
er
y
d
o
cu
m
en
t
in
th
e
d
a
ta
s
et
w
it
h
it
s
co
r
r
esp
o
n
d
in
g
p
ar
t
o
f
s
p
ee
ch
(
P
OS)
au
to
m
at
icall
y
b
y
u
t
ilizi
n
g
a
n
au
to
m
ated
ta
g
g
er
.
Af
ter
w
ar
d
,
w
e
d
ev
elo
p
ed
p
h
r
ase
p
atter
n
s
b
ased
o
n
th
e
p
ar
t
o
f
s
p
ee
ch
o
f
th
e
k
e
y
w
o
r
d
s
i
n
t
h
e
d
ataset.
T
h
en
,
w
e
e
m
p
l
o
y
ed
p
h
r
a
s
e
ch
u
n
k
i
n
g
,
i.e
.
,
ex
tr
ac
ti
n
g
ca
n
d
i
d
ate
k
e
y
w
o
r
d
s
f
r
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m
th
e
d
o
cu
m
en
t
s
u
s
i
n
g
th
e
p
h
r
ase
p
atter
n
s
.
L
ast
l
y
,
w
e
co
n
d
u
cted
ex
p
er
i
m
en
ts
i
n
k
e
y
w
o
r
d
s
s
elec
tio
n
u
s
in
g
a
n
u
m
b
er
o
f
s
ce
n
ar
io
s
a
n
d
ev
al
u
ate
th
e
r
e
s
u
lts
.
T
h
e
r
e
m
ai
n
d
er
s
o
f
th
is
s
ec
tio
n
e
x
p
lain
ea
c
h
s
tep
in
m
o
r
e
d
etail
.
Fig
u
r
e
1.
Me
th
o
d
o
lo
g
y
2
.
1.
Do
cum
e
nt
co
llect
io
n a
nd
prepa
ra
t
io
n
I
n
t
h
is
r
esear
ch
,
w
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u
s
ed
E
-
J
u
r
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Ak
u
n
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n
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m
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n
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ita
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Ud
a
y
a
n
a
[
2
4
]
as
o
u
r
d
ataset.
T
h
is
j
o
u
r
n
al
is
a
n
o
p
en
-
ac
ce
s
s
j
o
u
r
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al
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n
t
h
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ac
co
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ti
n
g
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i
eld
w
r
itte
n
i
n
B
a
h
asa
I
n
d
o
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e
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ia.
W
e
r
an
d
o
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l
y
s
elec
ted
1
5
0
p
u
b
licatio
n
s
f
r
o
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v
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lu
m
e
1
4
–
2
0
1
6
t
o
v
o
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m
e
1
8
–
2
0
1
7
o
f
th
e
j
o
u
r
n
al
as
o
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r
d
ataset.
W
e
d
iv
id
ed
ea
ch
d
o
cu
m
en
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in
to
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h
r
ee
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if
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er
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t
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ar
ts
,
n
a
m
el
y
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s
tr
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t,
k
e
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d
s
,
a
n
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tex
t
(
o
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th
e
m
ai
n
tex
t
o
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t
h
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d
o
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m
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t)
.
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e
u
s
ed
th
e
s
e
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i
f
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er
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t
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ar
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ep
ar
atel
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n
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i
s
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h
.
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h
e
ab
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tr
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t
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d
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n
ten
t
te
x
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i
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e
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o
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f
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k
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ex
tr
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k
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s
ar
e
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s
ed
to
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en
er
at
e
th
e
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h
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a
s
e
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atter
n
s
.
W
e
o
m
it
ted
th
e
t
itle,
s
ec
tio
n
h
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d
er
s
,
an
d
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ef
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e
n
ce
s
.
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ter
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llect
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g
t
h
e
d
o
cu
m
en
ts
,
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ev
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al
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-
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s
s
in
g
tech
n
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n
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o
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-
AS
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I
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ch
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r
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ter
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ct
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ac
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e
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li
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m
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a
n
d
e
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ce
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iv
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ite
s
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ac
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m
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ct
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h
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r
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p
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s
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g
w
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er
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o
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m
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h
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ar
t (
i.e
.
,
a
b
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k
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t)
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atase
t.
2
.
2
.
P
O
S
t
a
g
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ing
Af
ter
d
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t
p
r
ep
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atio
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eled
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ch
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d
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f
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t
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s
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r
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o
n
d
in
g
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ar
t
o
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s
p
ee
ch
,
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.
,
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OS
tag
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i
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.
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h
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eli
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g
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r
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ce
s
s
w
as
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ted
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n
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ag
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tag
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e
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p
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id
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y
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icak
s
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d
P
u
r
w
ar
ia
n
ti
[
2
5
]
.
I
n
th
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ab
s
t
r
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t
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d
th
e
co
n
te
n
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tex
t,
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tag
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ir
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k
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tr
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k
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tex
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ich
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n
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o
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h
u
s
,
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ta
g
g
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n
g
k
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s
w
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co
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d
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cted
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y
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ti
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t
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r
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a
m
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to
lab
el
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k
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y
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d
“
r
a
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n
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e
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s
ed
t
h
e
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eled
ab
s
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ac
t
an
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n
ten
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t
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ch
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p
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ase
in
th
e
tex
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t
j
u
s
t
a
s
in
g
le
w
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r
d
o
f
“
r
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s
io
”
o
r
“
ke
u
a
n
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a
n
”.
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f
th
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h
r
ase
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f
o
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n
d
in
t
h
e
te
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t,
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lab
eled
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e
k
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d
s
p
h
r
ase
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th
th
e
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o
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th
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t
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n
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n
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m
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k
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d
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ill
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ab
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t
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r
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P
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eq
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s
ed
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e
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tag
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k
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s
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et
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t
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n
ex
t
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tep
,
p
h
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ase
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atter
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o
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m
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n
t,
to
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k
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tag
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ab
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t a
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x
t.
2
.
3
.
P
hra
s
e
pa
t
t
er
n dev
elo
p
m
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nt
P
h
r
ase
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atter
n
is
d
ef
in
ed
as
th
e
P
OS
tag
s
eq
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en
ce
t
h
at
f
o
r
m
s
a
k
e
y
w
o
r
d
p
h
r
ase.
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h
r
ase
p
atter
n
s
ar
e
u
s
ed
to
o
b
tain
th
e
ca
n
d
id
ate
k
e
y
w
o
r
d
s
f
r
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th
e
te
x
t.
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r
ex
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m
p
le,
f
o
r
a
p
h
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ase
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atter
n
”NN
J
J
”
(
a
n
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u
n
f
o
llo
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ed
b
y
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ad
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ec
tiv
e)
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w
e
ex
tr
ac
ted
all
p
h
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ases
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th
e
te
x
t
h
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v
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n
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h
e
”NN
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tag
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en
ce
as
ca
n
d
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ate
k
e
y
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o
r
d
s
.
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n
t
h
e
p
r
ev
io
u
s
s
t
u
d
y
,
S
h
u
k
la
a
n
d
Kak
k
ar
m
a
n
u
al
l
y
d
e
f
in
ed
t
h
e
p
h
r
ase
p
a
tter
n
s
[
2
3
]
.
I
n
th
is
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
1
6
9
3
-
6930
T
E
L
KOM
NI
K
A
T
elec
o
m
m
u
n
C
o
m
p
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t E
l
C
o
n
tr
o
l
,
Vo
l.
18
,
No
.
4
,
A
u
g
u
s
t 2
0
2
0
:
1
9
1
7
-
1
9
2
5
1920
re
s
ea
r
ch
,
w
e
u
s
ed
an
au
to
m
a
ted
ap
p
r
o
ac
h
b
y
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llecti
n
g
t
h
e
p
h
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e
p
atter
n
s
f
r
o
m
all
t
ag
g
ed
k
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s
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ch
[
1
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o
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lect
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iter
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atter
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atter
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i
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atase
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ase
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atter
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ata
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atter
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atter
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w
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g
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t)
.
T
ab
le
1.
So
m
e
ex
a
m
p
les o
f
ex
tr
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n
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2
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N
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N
N
N
44
N
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15
2
.
4
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hra
s
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hunking
Af
ter
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o
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p
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ase
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atter
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f
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m
t
h
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e
x
tr
ac
ted
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n
d
id
ate
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d
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th
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s
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ac
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d
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h
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n
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te
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u
s
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n
g
p
h
r
a
s
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ch
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n
k
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g
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co
llected
all
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h
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ase
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f
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m
t
h
e
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OS
tag
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i
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atase
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tex
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s
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m
e
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h
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ase
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atter
n
f
r
o
m
o
u
r
p
h
r
ase
p
atter
n
s
li
s
t.
Fig
u
r
e
2
s
h
o
w
s
an
e
x
a
m
p
le
o
f
a
p
h
r
ase
ch
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n
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n
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p
r
o
ce
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s
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N
N
N
N
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th
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,
w
e
e
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ate
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g
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x
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r
in
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h
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o
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s
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e
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o
u
n
d
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h
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ases
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er
lap
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in
g
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d
s
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r
ex
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m
p
le,
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ko
n
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ke
u
a
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g
a
n
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an
d
“
ke
u
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n
g
a
n
p
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s
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h
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a
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”
a
r
e
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v
er
lap
p
ed
w
it
h
“
ko
n
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is
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k
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a
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g
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n
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s
a
h
a
a
n
”.
W
e
k
ep
t
all
th
o
s
e
p
h
r
ases
f
o
r
ca
n
d
id
ate
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e
lectio
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h
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ap
p
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p
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p
o
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ed
b
y
S
h
u
k
la
a
n
d
Kak
k
ar
[
2
3
]
b
ec
au
s
e
th
e
y
o
n
l
y
co
n
s
id
er
th
e
lo
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t
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in
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s
a
s
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e
ca
n
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id
ate.
Usi
n
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a
m
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Sh
u
k
la
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ar
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ap
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l
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n
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id
er
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a
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ko
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d
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ke
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n
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h
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a
n
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ca
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d
id
ates.
W
e
ar
g
u
e
th
a
t
o
u
r
ap
p
r
o
ac
h
w
ill
b
e
b
e
n
ef
ic
ial
s
in
ce
a
s
h
o
r
ter
p
h
r
ase
s
till
ca
n
b
ec
o
m
e
a
k
e
y
w
o
r
d
.
T
ab
le
2
s
h
o
w
s
s
e
v
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al
e
x
a
m
p
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o
f
c
an
d
id
ate
k
e
y
w
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r
d
s
ex
tr
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ted
f
r
o
m
th
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d
ata
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et.
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r
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th
e
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en
ce
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o
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n
d
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ate
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n
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d
ataset
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ate
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alo
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ig
h
t
f
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i
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ev
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tep
(
se
c
tio
n
2
.
3
.
)
.
W
e
u
s
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w
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ts
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n
t
h
e
k
e
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w
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r
d
s
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tio
n
p
r
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ce
s
s
.
Fig
u
r
e
2.
I
llu
s
tr
atio
n
o
f
th
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p
h
r
ase
ch
u
n
k
in
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p
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s
s
T
ab
le
2
.
E
x
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p
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ac
ted
ca
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d
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ate
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w
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N
N
2
3
5
Evaluation Warning : The document was created with Spire.PDF for Python.
T
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L
KOM
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A
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elec
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2
.
5
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e
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o
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p
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h
ig
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,
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n
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k
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s
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ll
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e
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ti
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e
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h
ig
h
e
r
th
an
th
e
k
ey
w
o
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d
“
kin
e
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a
k
e
u
a
n
g
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n
”.
2
.
6
.
E
x
peri
m
ent
I
n
th
i
s
s
ec
tio
n
,
w
e
e
x
p
lai
n
ed
th
e
s
ce
n
ar
io
s
th
at
w
e
u
s
ed
i
n
th
e
k
e
y
w
o
r
d
ex
tr
ac
tio
n
ex
p
er
im
e
n
t
s
.
Ou
r
d
ataset
co
n
s
is
ts
o
f
ab
s
tr
ac
ts
an
d
co
n
ten
t
tex
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ase
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[
2
3
]
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in
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s
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-
(
P
3
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s
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ase
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e
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g
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en
a
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t
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e
ex
p
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r
im
en
ts
a
r
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a
s
f
o
l
l
o
w
s
:
A:
Descen
d
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n
g
s
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r
t
b
ased
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l
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n
th
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ca
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eig
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s
id
er
in
g
th
e
p
h
r
as
e
p
atter
n
w
e
ig
h
t.
B:
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d
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g
s
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r
t b
ased
o
n
th
e
m
u
ltip
licatio
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o
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id
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n
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th
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ase
p
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ei
g
h
t.
C:
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s
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r
t
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ased
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m
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l
tip
licatio
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alize
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ig
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ased
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[
2
6
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3.
RE
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A
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ased
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R
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27
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28
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30
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31
C
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5
32
C
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s
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0
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3
7
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4
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5
0
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4
1
1
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.
1
.
So
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Fig
u
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ased
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u
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ated
Evaluation Warning : The document was created with Spire.PDF for Python.
T
E
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KOM
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A
T
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n
ts,”
T
e
x
t
M
in
i
n
g
:
A
p
p
li
c
a
ti
o
n
s a
n
d
T
h
e
o
ry
,
Jo
h
n
W
il
e
y
&
S
o
n
s,
L
td
,
p
p
.
1
–
20
,
2
0
1
0
.
[2
]
J.
M
o
th
e
,
F
.
Ra
m
ian
d
riso
a
,
a
n
d
M
.
Ra
so
lo
m
a
n
a
n
a
,
“
A
u
to
m
a
ti
c
K
e
y
p
h
ra
se
Ex
trac
ti
o
n
u
sin
g
G
ra
p
h
-
b
a
se
d
M
e
th
o
d
s,”
Pro
c
e
e
d
in
g
o
f
3
3
rd
A
n
n
u
a
l
ACM
S
y
mp
o
si
u
m o
n
A
p
p
li
e
d
Co
m
p
u
ti
n
g
,
p
p
.
7
2
8
-
7
3
0
,
2
0
1
5
.
[3
]
N.
Ka
m
a
ru
d
d
in
,
A
.
W
.
A
.
R
a
h
m
a
n
,
a
n
d
R.
A
.
M
.
La
w
i,
“
Jo
b
se
e
k
e
r
-
In
d
u
stry
M
a
tch
in
g
S
y
ste
m
u
sin
g
A
u
to
m
a
ted
Ke
y
w
o
rd
S
e
lec
ti
o
n
a
n
d
Visu
a
li
z
a
ti
o
n
A
p
p
ro
a
c
h
,
”
In
d
o
n
e
sia
n
J
o
u
rn
a
l
o
f
El
e
c
trica
l
En
g
in
e
e
rin
g
a
n
d
C
o
mp
u
ter
S
c
ien
c
e
,
v
o
l.
1
3
,
n
o
.
3
,
p
p
.
1
1
2
4
-
1
1
2
9
,
2
0
1
9
.
[4
]
S
.
M
e
n
a
k
a
a
n
d
N.
Ra
d
h
a
,
“
T
e
x
t
Clas
sif
ica
ti
o
n
u
sin
g
Ke
y
w
o
rd
E
x
trac
ti
o
n
T
e
c
h
n
iq
u
e
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
Ad
v
a
n
c
e
d
Res
e
a
rc
h
in
Co
mp
u
ter
S
c
ien
c
e
a
n
d
S
o
ft
w
a
re
En
g
in
e
e
rin
g
,
v
o
l.
3
,
n
o
.
1
2
,
2
0
1
3
.
[5
]
T
.
Bo
h
n
e
a
n
d
U.
M
.
B
o
rg
h
o
f
f
,
“
Da
ta
F
u
sio
n
:
B
o
o
sti
n
g
P
e
rf
o
rm
a
n
c
e
in
Ke
y
w
o
rd
Ex
trac
ti
o
n
,
”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
0
th
IEE
E
In
ter
n
a
ti
o
n
a
l
C
o
n
fer
e
n
c
e
a
n
d
W
o
rk
sh
o
p
s
o
n
th
e
E
n
g
i
n
e
e
rin
g
o
f
C
o
mp
u
ter
Ba
se
d
S
y
ste
ms
(
ECB
S
)
,
p
p
.
1
6
6
–
1
7
3
,
2
0
1
3
.
[6
]
N.
A
la
m
i,
M
.
M
e
k
n
a
ss
i,
a
n
d
N.
Ra
is,
“
A
u
to
m
a
ti
c
T
e
x
t
S
u
m
m
a
riz
a
ti
o
n
:
Cu
rre
n
t
S
tate
o
f
th
e
A
rt,
”
J
o
u
rn
a
l
o
f
Asia
n
S
c
ien
ti
fi
c
Res
e
a
rc
h
,
v
o
l.
5
,
n
o
.
1
,
p
p
.
1
-
1
5
,
2
0
1
5
.
[7
]
B.
L
o
tt
,
“
S
u
rv
e
y
o
f
Ke
y
w
o
rd
Ex
tr
a
c
ti
o
n
T
e
c
h
n
iq
u
e
s,”
UNM
Ed
u
c
a
t
io
n
,
v
o
l.
5
,
p
p
.
1
-
1
0
,
2
0
1
2
.
[8
]
J.
R.
T
h
o
m
a
s,
S
.
K.
Bh
a
rti
,
a
n
d
K.
S
.
Ba
b
u
,
“
A
u
to
m
a
ti
c
Ke
y
w
o
rd
Ex
trac
ti
o
n
f
o
r
Tex
t
S
u
m
m
a
riza
ti
o
n
in
e
-
Ne
w
sp
a
p
e
rs
,
”
Pro
c
e
e
d
in
g
s o
f
t
h
e
in
ter
n
a
t
io
n
a
l
c
o
n
fer
e
n
c
e
o
n
i
n
fo
r
ma
ti
c
s a
n
d
a
n
a
lytics
,
p
p
.
1
-
8
,
2
0
1
8
.
[9
]
Y
.
Q
i
n
,
“
A
p
p
ly
i
n
g
F
r
e
q
u
e
n
c
y
a
n
d
L
o
c
a
t
i
o
n
I
n
f
o
rm
a
t
i
o
n
t
o
K
e
y
w
o
rd
E
x
t
r
a
c
t
i
o
n
i
n
S
i
n
g
l
e
D
o
c
u
m
e
n
t
,
”
P
r
o
c
e
e
d
i
n
g
s
o
f
t
h
e
2
n
d
I
E
E
E
I
n
t
e
r
n
a
t
i
o
n
a
l
C
o
n
f
e
r
e
n
c
e
o
n
C
l
o
u
d
C
o
m
p
u
t
i
n
g
a
n
d
I
n
t
e
l
l
i
g
e
n
t
S
y
s
t
e
ms
(
C
C
I
S
)
,
p
p
.
1
3
9
8
–
1402
,
2
0
1
2
.
[
1
0
]
S
.
K
.
B
h
a
r
t
i
a
n
d
K
.
S
.
B
a
b
u
,
“
A
u
t
o
m
a
t
i
c
k
e
y
w
o
r
d
e
x
t
r
a
c
t
i
o
n
f
o
r
t
e
x
t
s
u
m
m
a
r
i
z
a
t
i
o
n
:
A
s
u
r
v
e
y
,
”
a
r
X
i
v
:
1
7
0
4
.
0
3
2
4
2
,
2
0
1
7
.
[1
1
]
S
.
Be
li
g
a
,
A
.
M
e
štro
v
ić,
a
n
d
S
.
M
a
rti
n
č
ić
-
Ip
šić
,
“
A
n
Ov
e
r
v
ie
w
o
f
G
ra
p
h
-
Ba
se
d
Ke
y
w
o
rd
Ex
tra
c
ti
o
n
M
e
t
h
o
d
s
a
n
d
A
p
p
ro
a
c
h
e
s,”
J
o
u
rn
a
l
o
f
In
f
o
rm
a
t
io
n
a
n
d
Or
g
a
n
iz
a
ti
o
n
a
l
S
c
ie
n
c
e
s
,
v
o
l.
3
9
,
n
o
.
1
,
p
p
.
1
–
2
0
,
2
0
1
5
.
[1
2
]
F
.
C.
J
o
n
a
th
a
n
a
n
d
O.
Ka
rn
a
li
m
,
“
S
e
m
i
-
S
u
p
e
rv
ise
d
Ke
y
p
h
ra
se
Ex
trac
ti
o
n
o
n
S
c
ien
ti
f
ic
A
rti
c
le
u
sin
g
F
a
c
t
-
b
a
se
d
S
e
n
ti
m
e
n
t,
”
T
E
L
KOM
NIKA
T
e
lec
o
mm
u
n
ica
t
io
n
Co
mp
u
ti
n
g
El
e
c
tro
n
ics
a
n
d
C
o
n
tro
l
,
v
o
l.
1
6
,
n
o
.
4
,
p
p
.
1
7
7
1
–
1
7
7
8
,
2
0
1
8
.
[1
3
]
C.
Zh
a
n
g
,
“
A
u
to
m
a
ti
c
Ke
y
w
o
r
d
Ex
trac
ti
o
n
f
ro
m
Do
c
u
m
e
n
ts
u
sin
g
Co
n
d
it
io
n
a
l
Ra
n
d
o
m
F
ield
s,”
J
o
u
rn
a
l
o
f
Co
mp
u
t
a
ti
o
n
a
l
I
n
fo
rm
a
ti
o
n
S
y
ste
ms
,
v
o
l.
4
,
n
o
.
3
,
p
p
.
1
1
6
9
–
1
1
8
0
,
2
0
0
8
.
[1
4
]
A
.
S
.
Im
ra
n
,
L
.
Ra
h
a
d
i
a
n
t
i
,
F
.
A
.
C
h
e
i
k
h
,
a
n
d
S
.
Y
.
Ya
y
i
l
g
a
n
,
“
O
b
j
e
c
t
iv
e
K
e
y
w
o
r
d
S
e
le
c
t
i
o
n
f
o
r
L
e
c
t
u
re
Vi
d
e
o
A
n
n
o
t
a
t
i
o
n
,
”
P
r
o
c
e
e
d
i
n
g
s
o
f
t
h
e
5
t
h
E
u
r
o
p
e
a
n
W
o
r
k
s
h
o
p
o
n
V
i
s
u
a
l
I
n
f
o
r
m
a
t
i
o
n
P
r
o
c
e
s
s
i
n
g
(
E
U
V
I
P)
,
p
p
.
1
–
6
,
2
0
14
.
[1
5
]
S
.
S
id
d
i
q
i
a
n
d
A
.
S
h
a
ra
n
,
“
Ke
y
w
o
rd
a
n
d
Ke
y
p
h
ra
se
Ex
trac
ti
o
n
T
e
c
h
n
iq
u
e
s:
A
L
it
e
ra
tu
re
Re
v
i
e
w
,
”
In
ter
n
a
ti
o
n
a
l
J
o
u
rn
a
l
o
f
Co
m
p
u
ter
A
p
p
l
ica
ti
o
n
s
,
v
o
l.
1
0
9
,
n
o
.
2
,
p
p
.
1
8
-
2
3
,
2
0
1
5
.
[1
6
]
R.
M
ih
a
lce
a
a
n
d
P
.
T
a
ra
u
,
“
T
e
x
tr
a
n
k
:
Brin
g
in
g
Ord
e
r
in
to
T
e
x
t,
”
Pro
c
e
e
d
in
g
s
o
f
t
h
e
2
0
0
4
Co
n
fer
e
n
c
e
o
n
Emp
irica
l
M
e
th
o
d
s i
n
Na
t
u
ra
l
L
a
n
g
u
a
g
e
Pr
o
c
e
ss
in
g
,
2
0
0
4
.
[1
7
]
X
.
W
a
n
a
n
d
J.
X
iao
,
“
S
in
g
le
Do
c
u
m
e
n
t
Ke
y
p
h
ra
se
Ex
tra
c
ti
o
n
Us
in
g
Ne
ig
h
b
o
r
h
o
o
d
K
n
o
w
led
g
e
,
”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
3
rd
A
AA
I
Co
n
fer
e
n
c
e
o
n
Art
if
icia
l
I
n
telli
g
e
n
c
e
,
v
o
l.
8
,
p
p
.
8
5
5
–
8
6
0
,
2
0
0
8
.
[1
8
]
K.
S
.
Ha
sa
n
a
n
d
V
.
Ng
,
“
Co
n
u
n
d
ru
m
s
in
Un
su
p
e
rv
ise
d
Ke
y
p
h
ra
s
e
Ex
trac
ti
o
n
:
M
a
k
in
g
S
e
n
se
o
f
t
h
e
S
tate
-
of
-
th
e
-
A
rt,
”
Pro
c
e
e
d
in
g
s o
f
th
e
2
3
rd
In
t
e
rn
a
ti
o
n
a
l
Co
n
fer
e
n
c
e
o
n
C
o
mp
u
ta
ti
o
n
a
l
L
i
n
g
u
isti
c
s: P
o
ste
rs
,
p
p
.
3
6
5
–
3
7
3
,
2
0
1
0
.
[1
9
]
G
.
L
i
a
n
d
H.
W
a
n
g
,
“
Im
p
ro
v
e
d
A
u
to
m
a
ti
c
Ke
y
w
o
rd
Ex
trac
ti
o
n
b
a
se
d
o
n
T
e
x
tRan
k
u
sin
g
Do
m
a
in
Kn
o
w
led
g
e
,
”
Na
tu
ra
l
L
a
n
g
u
a
g
e
Pr
o
c
e
ss
in
g
a
n
d
Ch
i
n
e
se
Co
mp
u
ti
n
g
,
S
p
ri
n
g
e
r
,
p
p
.
4
0
3
–
4
1
3
,
2
0
1
4
.
[2
0
]
S
.
L
a
h
iri
,
S
.
R.
C
h
o
u
d
h
u
ry
,
a
n
d
C.
Ca
ra
g
e
a
,
“
Ke
y
wo
rd
a
n
d
Ke
y
p
h
ra
se
Ex
trac
ti
o
n
u
sin
g
Ce
n
trali
t
y
M
e
a
su
re
s
o
n
Co
ll
o
c
a
ti
o
n
Ne
tw
o
rk
s,”
a
rX
iv
:1
4
0
1
.
6
5
7
1
,
2
0
1
4
.
[2
1
]
R.
Bh
o
wm
ik
,
“
Ke
y
w
o
rd
Ex
tra
c
t
io
n
f
ro
m
A
b
stra
c
ts
a
n
d
T
it
les
,
”
Pro
c
e
e
d
in
g
s
o
f
th
e
2
0
0
8
IEE
E
S
o
u
t
h
e
a
stc
o
n
,
p
p
.
6
1
0
–
6
1
7
,
2
0
0
8
.
[2
2
]
Y.
L
u
,
R.
L
i,
K.
W
e
n
,
a
n
d
Z.
L
u
,
“
A
u
to
m
a
ti
c
Ke
y
w
o
rd
Ex
t
ra
c
ti
o
n
f
o
r
S
c
ien
ti
f
ic
L
it
e
ra
tu
re
s
u
sin
g
Re
fe
re
n
c
e
s,”
Pro
c
e
e
d
in
g
s
o
f
t
h
e
2
0
1
4
IEE
E
In
ter
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