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m
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1
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,
o
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[
2
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,
o
p
in
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s
u
m
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izatio
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[
3
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.
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4
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m
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B
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[
5
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w
h
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w
o
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k
s
e
f
f
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tl
y
o
n
s
i
n
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d
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in
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
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2.
L
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Hu
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1
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i
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g
.
M
an
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7
2
an
d
a
r
ec
all
o
f
0
.
8
0
.
B
litzer
et
al.
[
4
]
f
o
cu
s
es
o
n
cr
o
s
s
d
o
m
ain
class
i
f
icatio
n
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ier
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ly
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ai
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ea
tu
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es.
P
an
an
d
Ni
[
6
]
p
r
o
p
o
s
ed
a
m
et
h
o
d
f
o
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s
en
t
i
m
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r
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ap
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et
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h
e
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o
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ai
n
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,
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s
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g
s
p
ec
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al
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t
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r
e
alig
n
m
e
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t
(
S
F
A
)
alg
o
r
it
h
m
to
a
lig
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d
o
m
ai
n
-
s
p
ec
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f
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d
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i
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n
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ied
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ter
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h
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ter
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e
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s
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ce
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ai
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la
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er
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3.
CRO
SS
_
B
O
M
E
ST
3
.
1
.
P
ro
po
s
ed
Appro
ch
I
n
th
is
p
ap
er
w
e
p
r
o
p
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e
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a
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Do
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ai
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ill
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ate,
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e
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o
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ai
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a
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ier
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g
et
d
o
m
ai
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h
e
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lo
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d
iag
r
a
m
f
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r
C
r
o
s
s
_
B
OM
E
ST
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s
h
o
w
n
i
n
Fig
u
r
e.
1
is
co
n
s
is
t
s
o
f
t
w
o
p
h
ase
s
,
d
etailed
ex
p
lan
atio
n
o
f
ea
ch
p
h
ase
is
as
f
o
llo
w
s:
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ha
s
e
1
d
ea
ls
w
it
h
f
o
r
m
in
g
o
f
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e
x
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o
m
s
_
Dict
io
n
ar
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d
u
s
ed
th
is
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ictio
n
ar
y
to
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cr
ea
s
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e
†
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e
p
o
lar
it
y
r
ev
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w
s
.
Nu
m
b
er
o
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s
tep
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tep
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o
w
n
Sectio
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h
e
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ir
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t
s
tep
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r
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ed
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o
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OM
E
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it
h
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er
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all
th
e
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s
.
T
h
e
Data
s
et
u
s
ed
f
o
r
i
m
p
le
m
e
n
tatio
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i
s
Am
az
o
n
d
ata
s
e
t
h
ttp
://j
m
ca
u
le
y
.
u
csd
.
ed
u
/d
ata/a
m
az
o
n
/
.
Used
d
ata
s
et
co
n
tai
n
s
1
,
6
0
,
7
9
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ab
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ct
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,
9
8
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ea
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r
o
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ct
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3
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4
6
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3
5
5
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w
s
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lth
p
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d
1
6
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8
9
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8
8
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ev
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s
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le
ctr
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ics
p
r
o
d
u
ct
f
r
o
m
Ma
y
1
9
9
6
to
J
u
l
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0
1
4
,
f
o
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t
h
e
a
n
al
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is
.
T
h
e
n
J
u
n
k
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ata
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as
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y
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n
k
s
,
<d
iv
>,
<p
>,
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r
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etc
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w
o
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d
s
,
s
to
p
w
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s
,
i
m
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g
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v
id
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s
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at
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h
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o
r
ter
Ste
m
m
i
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g
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o
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it
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to
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th
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f
ter
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ar
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to
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en
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s
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B
OW
(
B
ag
o
f
w
o
r
d
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)
.
T
h
en
B
OM
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ST
[
5
]
is
ca
lled
f
o
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th
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P
OS
tag
g
in
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h
ich
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in
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ata,
ass
ig
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it
an
d
s
to
r
e
i
t in
to
th
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tr
ain
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d
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ar
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[
7
].
I
n
th
e
las
t
s
tep
,
w
o
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ta
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en
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r
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atch
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u
r
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2
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Sim
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:
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cr
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r
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f
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−
ve
p
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a
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m
d
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o
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co
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e
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m
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[
8
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f
o
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a
d
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eli
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I
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ase
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ai
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it
h
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h
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o
f
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M
tar
g
et
e
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ac
ti
o
n
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o
s
s
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m
s
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lass
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ier
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i
s
co
v
er
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d
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m
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n
ate
u
n
e
s
s
e
n
tial,
in
ap
p
r
o
p
r
iate
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d
r
ed
u
n
d
an
t
asp
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ts
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r
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m
d
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a
t
d
o
n
o
t
co
n
tr
ib
u
te
to
th
e
ac
c
u
r
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y
.
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h
e
ac
cu
r
ac
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f
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o
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tain
ed
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y
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ed
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o
s
s
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OM
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o
r
ith
m
w
h
e
n
ap
p
lied
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s
s
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o
m
ain
s
.
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ec
is
io
n
an
d
R
ec
all
o
f
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O
ME
ST
is
i
m
p
r
o
v
ed
b
y
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6
%
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d
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%
r
esp
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ti
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s
in
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o
m
a
in
.
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e
s
u
lts
,
d
em
o
n
s
tr
ate
th
at
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r
o
s
s
_
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OM
E
ST
s
h
o
w
s
5
%
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ef
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e
m
e
n
t
i
n
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e
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io
n
an
d
ac
c
u
r
ac
y
w
h
e
n
co
m
p
ar
ed
to
o
th
er
ex
is
t
in
g
tec
h
n
iq
u
es.
RE
F
E
R
E
NC
E
S
[1
]
Hu
M
.
a
n
d
L
iu
B
.
,
“
M
i
n
in
g
a
n
d
s
u
m
m
a
ri
z
in
g
c
u
sto
m
e
r
re
v
ie
w
s
,”
i
n
KDD
,
p
p
.
1
6
8
–
1
7
7
,
2
0
0
4
.
[2
]
P
a
n
g
B
.
a
n
d
L
e
e
L
.
,
“
Op
in
io
n
m
in
in
g
a
n
d
se
n
ti
m
e
n
t
a
n
a
l
y
sis
,”
F
o
u
n
d
a
ti
o
n
s
a
n
d
T
re
n
d
s
in
In
f
o
rm
a
ti
o
n
Retrie
v
a
l
,
p
p
.
1
–
1
3
5
,
2
0
0
8
.
[3
]
L
u
Y
.
,
e
t
a
l
.
,
“
Ra
ted
a
sp
e
c
t
su
m
m
a
riza
ti
o
n
o
f
sh
o
r
t
c
o
m
m
e
n
ts
,”
i
n
WWW
,
p
p
.
1
3
1
–
1
4
0
,
2
0
0
9
.
[4
]
Bli
tze
r
J
.
,
e
t
a
l.
,
“
Bi
o
g
ra
p
h
ies
,
b
o
ll
y
wo
o
d
,
b
o
o
m
-
b
o
x
e
s
a
n
d
b
len
d
e
rs
:
Do
ma
in
a
d
a
p
ta
ti
o
n
fo
r
se
n
ti
me
n
t
c
la
ss
if
ica
ti
o
n
,”
i
n
P
ro
c
e
e
d
i
n
g
s
o
f
th
e
4
5
th
A
n
n
u
a
l
M
e
e
ti
n
g
o
f
th
e
As
so
c
iatio
n
o
f
Co
m
p
u
tatio
n
a
l
L
in
g
u
isti
c
s,
P
ra
g
u
e
,
Cz
e
c
h
Re
p
u
b
l
ic
,
p
p
.
4
4
0
–
447
,
2
0
0
7
.
[5
]
Ja
in
V
.
,
e
t
a
l
.
,
“
BOME
S
T
a
V
it
a
l
A
p
p
ro
a
c
h
t
o
Ex
trac
t
t
h
e
P
ro
p
it
io
u
s
In
f
o
rm
a
ti
o
n
f
ro
m
th
e
Big
Da
ta
,”
L
NN
S
S
p
rin
g
e
r’s,
2
0
1
6
.
[6
]
P
a
n
S
.
,
e
t
a
l.
,
“
Cro
ss
Do
m
a
in
S
e
n
ti
m
e
n
t
Clas
si
f
ica
ti
o
n
v
ia
S
p
e
c
tral
F
e
a
tu
re
s
,
”
i
n
W
W
W
2
0
1
0
,
Ra
leig
h
,
No
r
t
h
Ca
ro
li
n
a
,
US
A.
ACM
,
p
p
.
7
5
1
–
7
6
0
,
2
0
1
0
.
[7
]
F
a
n
g
H.
,
“
A
re
-
e
x
a
m
in
a
ti
o
n
o
f
q
u
e
r
y
e
x
p
a
n
sio
n
u
si
n
g
lex
ica
l
re
so
u
rc
e
s
,”
i
n
ACL
,
p
p
.
1
3
9
–
1
4
7
,
2
0
0
8
.
[8
]
Bo
ll
e
g
a
la
D
.
,
e
t
a
l.
,
“
Cro
ss
-
Do
m
a
in
S
e
n
ti
m
e
n
t
Clas
sif
ic
a
ti
o
n
Us
in
g
a
S
e
n
ti
m
e
n
t
S
e
n
siti
v
e
Th
e
sa
u
ru
s
,
”
IEE
E
tra
n
sa
c
ti
o
n
s
o
n
k
n
o
wle
d
g
e
a
n
d
d
a
ta
e
n
g
i
n
e
e
rin
g
,
2
0
1
3
.
[9
]
Ch
e
n
B
.
,
e
t
a
l.
,
“
Extra
c
ti
n
g
d
isc
rimin
a
ti
v
e
c
o
n
c
e
p
ts
f
o
r
d
o
m
a
in
a
d
a
p
ta
ti
o
n
i
n
tex
t
min
i
n
g
,”
i
n
P
r
o
c
e
e
d
in
g
s
o
f
th
e
1
5
t
h
A
CM
S
IG
KD
D
in
tern
a
ti
o
n
a
l
c
o
n
f
e
re
n
c
e
o
n
Kn
o
w
led
g
e
d
isc
o
v
e
r
y
a
n
d
d
a
ta
m
in
in
g
,
Ne
w
Y
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