I
AE
S In
t
er
na
t
io
na
l J
o
urna
l o
f
Art
if
icia
l In
t
ellig
ence
(
I
J
-
AI
)
Vo
l.
14
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
5
,
p
p
.
1
09
~
1
1
8
I
SS
N:
2
2
5
2
-
8
9
3
8
,
DOI
: 1
0
.
1
1
5
9
1
/ijai.v
14
.i
1
.
p
p
1
09
-
1
18
109
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Co
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Feb
2
6
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2
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m
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t.
An
ap
p
li
c
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ti
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f
o
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a
ti
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fro
m
a
tru
st
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u
rc
e
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e
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e
n
ti
a
l
sin
c
e
t
h
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i
n
fo
rm
a
ti
o
n
is
o
n
ly
so
m
e
ti
m
e
s
a
v
a
il
a
b
le
on
ti
m
e
.
Th
u
s,
d
e
v
e
lo
p
in
g
a
c
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tb
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a
p
p
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m
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m
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In
ter
m
s
of
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sa
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,
t
h
e
c
h
a
tb
o
t
a
c
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sa
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s
of
8
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.
0
3
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m
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stu
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d
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in
c
re
a
se
th
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p
o
te
n
ti
a
l
to
imp
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v
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in
c
lu
siv
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d
u
c
a
ti
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n
f
o
r
d
isa
b
led
s
tu
d
e
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ts.
It
is
u
se
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l
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i
n
c
lu
d
e
fu
t
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re
a
c
ti
o
n
s
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n
a
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th
e
sim
p
li
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ti
o
n
of
th
e
u
se
of
th
is
c
h
a
tb
o
t
to
o
l
in
a
wid
e
ra
n
g
e
of
c
o
n
tex
ts.
To
c
l
o
se
th
e
e
d
u
c
a
ti
o
n
g
a
p
f
o
r
c
h
il
d
re
n
wit
h
d
isa
b
il
it
ies
,
c
h
a
tb
o
ts
c
o
u
ld
h
e
lp
p
e
o
p
le
with
c
o
m
m
u
n
ica
ti
o
n
d
isa
b
il
it
ies
a
n
d
c
o
u
l
d
a
lso
si
g
n
if
ica
n
tl
y
e
n
h
a
n
c
e
t
h
e
ra
te
of
c
o
m
m
u
n
ica
ti
o
n
.
K
ey
w
o
r
d
s
:
Ar
tific
ial
in
tellig
en
ce
Au
tis
tic
C
h
atb
o
t
C
o
n
v
o
lu
tio
n
al
n
eu
r
al
n
etwo
r
k
E
d
u
ca
tio
n
T
h
is i
s
a
n
o
p
e
n
-
a
c
c
e
ss
a
rticle
u
n
d
e
r th
e
CC B
Y
-
SA
li
c
e
n
se
.
C
o
r
r
e
s
p
o
nd
ing
A
uth
o
r
:
R
aseed
a
Ham
za
h
C
o
m
p
u
tin
g
Scien
ce
s
Stu
d
ies,
C
o
lleg
e
o
f
C
o
m
p
u
tin
g
,
I
n
f
o
r
m
atics a
n
d
Ma
th
em
atics
Un
iv
er
s
iti
T
ek
n
o
lo
g
i
MA
R
A
(
UiT
M)
1
1
0
o
f
f
,
St.
Han
g
T
u
a
h
,
Me
lak
a
B
r
an
ch
,
Ma
lay
s
ia
E
m
ail:
r
aseed
a@
u
itm
.
ed
u
.
m
y
1.
I
NT
RO
D
UCT
I
O
N
Au
tis
m
,
o
f
ten
k
n
o
wn
as
an
au
tis
m
s
p
ec
tr
u
m
d
is
o
r
d
e
r
(
ASD)
,
is
a
s
ev
er
e
c
o
n
d
itio
n
ch
a
r
ac
t
er
ized
b
y
s
ig
n
if
ican
t
s
o
cial
in
ter
ac
tio
n
a
n
d
co
m
m
u
n
icatio
n
d
if
f
icu
lties
.
T
h
er
e
is
a
b
r
o
a
d
s
p
ec
tr
u
m
o
f
s
ig
n
s
an
d
a
b
ilit
ies
th
at
ca
n
r
an
g
e
f
r
o
m
m
ild
in
c
o
n
v
en
ie
n
ce
to
s
ev
er
e
d
is
ab
ilit
y
r
eq
u
ir
i
n
g
r
o
u
n
d
-
th
e
-
cl
o
ck
c
ar
e
in
a
s
p
ec
ialized
f
ac
ilit
y
[
1
]
.
I
n
s
tr
u
cto
r
s
u
s
u
ally
h
av
e
a
h
a
r
d
tim
e
d
ea
lin
g
with
au
tis
tic
s
tu
d
en
ts
d
u
e
to
th
eir
lack
o
f
ex
p
er
ien
c
e
in
teac
h
in
g
an
d
s
k
ills
.
So
m
e
s
ch
o
o
ls
m
ay
n
o
t
h
av
e
en
o
u
g
h
f
u
n
d
in
g
to
h
ir
e
p
r
o
f
ess
io
n
als
to
o
v
er
co
m
e
th
e
in
ex
p
er
ien
ce
is
s
u
es
am
o
n
g
in
s
tr
u
cto
r
s
[
2
]
.
Mo
s
t
ed
u
ca
to
r
s
n
ee
d
m
o
r
e
e
x
p
er
ie
n
ce
in
teac
h
in
g
u
n
iq
u
e
n
ee
d
s
s
tu
d
en
ts
.
Hen
ce
,
th
e
p
r
o
b
le
m
ca
n
b
e
s
o
lv
ed
b
y
h
av
in
g
an
ap
p
licatio
n
th
at
en
ab
les
th
e
teac
h
er
to
g
ain
in
f
o
r
m
atio
n
f
r
o
m
a
t
r
u
s
ted
s
o
u
r
ce
th
u
s
im
p
r
o
v
in
g
t
h
e
in
d
i
v
id
u
alize
d
ed
u
ca
tio
n
s
y
s
tem
f
o
r
au
t
is
tic
s
tu
d
en
ts
.
T
h
e
ar
tific
ial
i
n
tellig
en
ce
(
AI
)
f
ield
is
a
tech
n
o
lo
g
y
th
at
co
n
s
tan
tly
im
p
r
o
v
es
ass
is
tin
g
d
aily
h
u
m
an
task
s
.
A
ch
atb
o
t
is
a
ty
p
e
o
f
AI
tech
n
o
lo
g
y
th
at
ca
n
ca
r
r
y
n
atu
r
al
-
s
o
u
n
d
in
g
co
n
v
er
s
atio
n
s
f
o
r
a
v
ar
iety
o
f
p
u
r
p
o
s
es,
th
an
k
s
to
its
en
o
r
m
o
u
s
v
o
c
ab
u
lar
y
an
d
wid
e
r
an
g
e
o
f
co
n
v
er
s
atio
n
al
to
p
ics.
Mo
s
t
in
ter
n
et
b
an
k
in
g
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
5
:
1
09
-
1
18
110
ap
p
licatio
n
s
[
3
]
,
g
o
v
er
n
m
en
t
o
f
f
icials
[
4
]
,
h
o
s
p
itals
[
5
]
,
u
n
iv
er
s
ities
[
6
]
,
an
d
o
th
e
r
web
s
ites
[
7
]
ar
e
u
s
in
g
ch
atb
o
ts
n
o
wad
a
y
s
.
Ho
wev
e
r
,
au
tis
tic
ed
u
ca
tio
n
s
ec
to
r
s
s
till
im
p
lem
en
t
co
n
v
e
n
tio
n
al
m
eth
o
d
s
s
u
c
h
as
m
an
u
al
b
o
o
k
s
,
m
ater
ials
,
an
d
p
h
y
s
ical
in
ter
ac
tio
n
s
an
d
co
m
m
u
n
icatio
n
s
.
C
u
r
r
en
tly
,
au
tis
tic
ed
u
ca
tio
n
teac
h
in
g
to
o
ls
to
ass
is
t
teac
h
er
s
ar
e
s
till
lack
in
g
.
T
h
e
cu
r
r
en
t
ch
atb
o
ts
d
esig
n
ed
f
o
r
au
tis
tic
ed
u
ca
tio
n
m
ai
n
ly
fo
cu
s
o
n
ch
ild
r
en
’
s
u
s
ag
e.
A
ch
atb
o
t
f
o
r
au
tis
tic
k
id
s
’
u
s
ag
e
was
d
esig
n
ed
b
y
[
8
]
.
Par
ticip
an
ts
in
ter
ac
ted
with
th
e
ch
atb
o
ts
f
o
r
2
0
r
o
u
n
d
s
o
f
t
r
ials
in
th
eir
ex
p
er
im
en
t to
c
o
m
p
lete
th
e
ev
alu
atio
n
.
T
h
e
r
es
u
lts
s
h
o
wed
th
at
th
e
ch
atb
o
t
ca
n
s
u
cc
ess
f
u
lly
attr
a
c
t
s
tu
d
en
ts
’
atten
tio
n
t
o
u
n
d
er
s
tan
d
it.
T
h
e
ch
atb
o
t
also
s
h
o
wed
h
o
w
it
c
o
u
ld
b
e
u
s
ed
in
a
co
n
v
er
s
atio
n
-
b
ased
s
o
lu
tio
n
f
o
r
C
h
in
ese
k
id
s
wi
th
ASD.
An
o
th
er
ch
atb
o
t
was
d
ev
elo
p
ed
b
y
[
9
]
wh
ich
is
d
esig
n
ed
to
d
iag
n
o
s
e
ac
h
lu
o
p
h
o
b
ia
an
d
au
tis
m
u
s
in
g
n
atu
r
al
lan
g
u
ag
e
p
r
o
ce
s
s
in
g
(
NL
P)
th
at
im
p
lem
en
ts
d
ec
is
io
n
tr
ee
al
g
o
r
ith
m
s
f
o
r
d
is
ea
s
e
s
ev
er
ity
d
etec
tio
n
.
No
t
o
n
ly
ca
n
th
ey
s
av
e
th
e
tim
e
o
f
an
ex
p
er
t
d
iag
n
o
s
is
s
y
s
tem
,
b
u
t
t
h
ey
also
e
n
s
u
r
e
e
f
f
ec
tiv
en
ess
.
Similar
r
esear
ch
ca
n
b
e
f
o
u
n
d
in
[
1
0
]
wh
e
r
e
th
e
au
th
o
r
s
h
av
e
d
ev
elo
p
e
d
a
“He
ar
to
h
elp
C
h
atb
o
t”
as
an
ass
is
tan
ce
to
o
l
f
o
r
au
tis
tic
k
id
s
to
s
ee
k
h
elp
.
T
h
e
s
p
ec
if
ic
alg
o
r
ith
m
u
s
ed
in
th
ei
r
AI
ch
atb
o
t
h
as n
o
t
b
ee
n
m
e
n
tio
n
ed
.
A
ch
atb
o
t
b
ased
o
n
f
o
r
u
m
d
ata
u
s
ed
b
y
th
e
a
u
tis
m
o
n
lin
e
co
m
m
u
n
ity
was
p
r
o
p
o
s
ed
i
n
[
1
1
]
.
I
t
e
m
b
ed
d
e
d
a
r
an
d
o
m
f
o
r
est
al
g
o
r
ith
m
f
o
r
th
e
class
if
icatio
n
task
an
d
co
n
clu
d
e
d
th
at
th
e
d
ev
elo
p
e
d
ch
atb
o
t
co
u
ld
g
u
ess
an
d
r
e
p
ly
c
o
r
r
ec
tl
y
to
th
e
q
u
er
ies.
I
t
h
elp
s
m
a
n
y
u
s
er
s
in
f
in
d
in
g
in
f
o
r
m
atio
n
ab
o
u
t
a
u
tis
tics
,
at
least
f
o
r
th
e
b
asic
i
n
f
o
r
m
atio
n
.
A
s
h
if
t
f
r
o
m
c
h
atb
o
t
t
o
r
o
b
o
t
was
p
r
esen
ted
in
[
1
2
]
.
T
h
e
r
o
b
o
t
was
in
tr
o
d
u
ce
d
to
h
elp
t
h
e
ch
ild
r
en
c
o
m
p
lete
th
eir
d
aily
task
s
an
d
ass
is
t
th
e
teac
h
er
with
ed
u
ca
tio
n
al
ac
tiv
ities
.
T
h
e
k
id
s
a
n
d
teac
h
er
s
wo
r
k
ed
t
o
g
eth
er
t
o
cr
ea
te
th
e
r
o
b
o
t’
s
ac
tio
n
s
an
d
h
o
w
it f
its
i
n
to
th
e
s
ch
o
o
l.
T
h
e
g
o
al
was to
im
p
r
o
v
e
th
e
k
id
s
’
well
-
b
ein
g
.
T
h
e
y
u
s
ed
a
m
ix
o
f
m
eth
o
d
s
to
l
o
o
k
at
h
o
w
th
e
r
o
b
o
t
was u
s
ed
th
r
o
u
g
h
o
u
t
th
e
s
tu
d
y
a
n
d
h
o
w
its
p
r
esen
ce
af
f
ec
te
d
th
e
k
id
s
’
well
-
b
ein
g
an
d
th
e
s
ch
o
o
l’
s
en
v
ir
o
n
m
en
t
.
I
t
ca
n
b
e
o
b
s
er
v
ed
th
at
th
e
r
o
b
o
t
wo
r
k
ed
well
in
t
h
e
s
ch
o
o
l.
I
t
b
o
o
s
ted
th
e
h
a
p
p
in
ess
o
f
a
s
elec
t
s
et
o
f
k
id
s
b
y
e
n
co
u
r
a
g
in
g
an
d
m
ain
tain
i
n
g
r
eg
u
lar
c
o
n
tact
with
t
h
em
.
I
t
also
s
p
ar
k
ed
a
s
o
p
h
is
ticated
d
is
cu
s
s
io
n
am
o
n
g
s
tu
d
en
ts
an
d
f
ac
u
lty
o
n
th
e
b
en
ef
its
an
d
d
r
awb
ac
k
s
o
f
th
is
k
in
d
o
f
s
o
c
ial
tech
n
o
lo
g
y
in
t
h
e
class
r
o
o
m
.
C
h
atb
o
ts
ca
n
b
e
d
ev
elo
p
e
d
u
s
in
g
s
ev
er
al
m
eth
o
d
s
s
u
ch
as
r
u
le
-
b
ased
,
r
etr
iev
al
-
b
ased
,
g
en
er
ativ
e,
AI
-
ass
is
tan
t,
s
o
cial
m
ed
ia,
an
d
h
y
b
r
id
.
R
u
le
-
b
ased
c
h
atb
o
ts
f
o
llo
w
a
p
r
e
d
ef
in
ed
s
et
o
f
r
u
les
an
d
p
atter
n
s
to
r
esp
o
n
d
.
T
h
ey
t
y
p
ically
u
s
e
if
-
th
en
s
tatem
en
ts
o
r
d
ec
is
io
n
t
r
ee
s
to
d
eter
m
in
e
th
e
ap
p
r
o
p
r
i
ate
r
ep
ly
b
ased
o
n
s
p
ec
if
ic
k
ey
wo
r
d
s
o
r
p
atter
n
s
in
th
e
u
s
er
’
s
in
p
u
t
[
1
3
]
.
R
etr
iev
al
-
b
ased
c
h
atb
o
ts
s
to
r
e
an
d
r
etr
iev
e
p
r
ed
ef
i
n
ed
r
esp
o
n
s
es
f
r
o
m
a
d
atab
ase
b
as
ed
o
n
u
s
er
in
p
u
ts
[1
4]
.
T
h
ese
r
esp
o
n
s
es
ar
e
o
f
ten
p
r
ewr
itten
an
d
s
elec
ted
b
ased
o
n
th
e
clo
s
est m
atch
to
th
e
u
s
er
’
s
q
u
er
y
.
Gen
er
ativ
e
c
h
atb
o
ts
em
p
lo
y
m
o
r
e
ad
v
an
ce
d
tech
n
i
q
u
es,
s
u
ch
as NL
P
an
d
m
ac
h
in
e
lear
n
in
g
,
t
o
g
e
n
e
r
ate
r
esp
o
n
s
es
in
r
ea
l
tim
e.
T
h
ey
lear
n
f
r
o
m
v
ast
a
m
o
u
n
ts
o
f
tr
ain
i
n
g
d
ata
a
n
d
ca
n
g
en
er
ate
co
n
tex
t
u
ally
r
el
ev
an
t
an
d
co
h
e
r
en
t
r
esp
o
n
s
es
[
1
5
]
-
[
1
7
]
.
AI
-
ass
is
tan
t
ch
atb
o
ts
,
also
k
n
o
wn
as
v
ir
tu
al
ass
is
tan
ts
,
in
teg
r
ate
v
ar
io
u
s
AI
tech
n
o
lo
g
ies,
in
c
lu
d
in
g
n
atu
r
al
lan
g
u
a
g
e
u
n
d
er
s
tan
d
in
g
,
s
p
ee
c
h
r
ec
o
g
n
itio
n
,
an
d
m
ac
h
in
e
lea
r
n
in
g
.
T
h
ey
aim
to
p
r
o
v
id
e
m
o
r
e
co
m
p
r
eh
en
s
iv
e
ass
is
tan
ce
b
y
u
n
d
er
s
tan
d
in
g
u
s
er
in
ten
t,
r
etr
iev
in
g
in
f
o
r
m
atio
n
f
r
o
m
d
atab
ases
o
r
ap
p
licatio
n
p
r
o
g
r
am
m
in
g
in
t
er
f
ac
e
(
API
s
)
,
an
d
p
er
f
o
r
m
in
g
task
s
s
u
ch
as
s
ettin
g
r
e
m
in
d
er
s
,
m
ak
in
g
r
eser
v
a
tio
n
s
,
o
r
p
r
o
v
id
in
g
r
ec
o
m
m
en
d
atio
n
s
[
1
8
]
.
So
cial
m
ed
ia
ch
atb
o
ts
ar
e
d
esig
n
ed
s
p
ec
if
ically
f
o
r
in
ter
ac
tin
g
with
u
s
er
s
o
n
s
o
cial
m
ed
ia
p
latf
o
r
m
s
.
T
h
e
y
ca
n
h
an
d
le
c
u
s
to
m
er
in
q
u
i
r
ies,
p
r
o
v
id
e
in
f
o
r
m
atio
n
,
d
eliv
er
p
er
s
o
n
alize
d
c
o
n
ten
t,
an
d
ev
e
n
f
ac
ilit
ate
tr
an
s
ac
tio
n
s
,
all
with
in
th
e
s
o
cial
m
ed
ia
m
ess
ag
in
g
in
ter
f
ac
e
[
1
9
]
.
Hy
b
r
i
d
ch
atb
o
ts
co
m
b
i
n
e
d
if
f
er
en
t
ap
p
r
o
ac
h
es,
s
u
ch
as
r
u
le
-
b
ased
s
y
s
tem
s
,
r
etr
iev
al
-
b
ased
m
eth
o
d
s
,
an
d
g
en
er
at
iv
e
m
o
d
els,
to
lev
er
ag
e
th
e
s
tr
en
g
th
s
o
f
ea
ch
tech
n
iq
u
e.
T
h
is
allo
ws f
o
r
m
o
r
e
f
lex
ib
le
an
d
r
o
b
u
s
t
co
n
v
er
s
atio
n
s
b
y
s
witch
in
g
b
etwe
en
p
r
ed
ef
in
ed
r
esp
o
n
s
es
an
d
d
y
n
a
m
ically
g
en
er
ated
o
n
es
[
2
0
]
.
T
h
e
ap
p
licatio
n
o
f
d
ee
p
lear
n
in
g
in
ch
atb
o
t
d
ev
e
lo
p
m
en
t
with
in
th
e
co
r
p
o
r
ate
s
ec
to
r
h
as
s
h
o
wn
a
n
o
tab
le
in
cr
ea
s
e
in
r
ec
e
n
t
tim
es
[
2
1
]
.
T
h
e
ef
f
ec
tiv
e
n
ess
o
f
ch
atb
o
ts
is
co
n
tin
u
o
u
s
ly
en
h
an
ce
d
b
y
t
h
e
ir
ex
p
o
s
u
r
e
to
n
ew
d
is
cu
s
s
io
n
s
an
d
u
s
er
in
ter
ac
tio
n
s
,
wh
ich
th
e
d
ee
p
lear
n
i
n
g
m
o
d
els
lear
n
f
r
o
m
[
2
2
]
,
[
2
3
]
.
I
t
is
n
o
t
d
eb
atab
le
th
at
AI
an
d
m
ac
h
in
e
lear
n
i
n
g
p
la
y
a
lead
in
g
r
o
le
in
au
tis
tic
ed
u
ca
tio
n
.
Ap
ar
t
f
r
o
m
ass
is
tin
g
th
e
ch
ild
r
e
n
a
n
d
m
ed
ical
ex
p
er
ts
,
th
er
e
is
p
len
t
y
o
f
im
p
r
o
v
em
en
t
n
ee
d
ed
f
o
r
teac
h
er
s
an
d
i
n
s
tr
u
cto
r
s
to
h
el
p
g
r
o
w
th
e
a
u
tis
tic
ch
ild
r
en
’
s
f
u
tu
r
e.
T
h
er
ef
o
r
e,
th
is
r
esear
c
h
will
o
p
tim
ize
AI
in
th
e
au
tis
tic
ed
u
ca
tio
n
s
y
s
te
m
in
th
e
h
o
p
e
th
at
it
will
h
elp
all
in
s
tr
u
cto
r
s
an
d
s
ch
o
o
l
m
an
ag
em
en
t
in
th
eir
d
aily
task
s
.
2.
M
E
T
H
O
DO
L
O
G
Y
Fig
u
r
e
1
s
h
o
ws
th
is
r
esear
ch
’
s
o
v
er
all
f
lo
w,
wh
ich
c
o
n
tain
s
r
aw
d
ata
co
llectio
n
,
d
ata
p
r
e
-
p
r
o
ce
s
s
in
g
,
ch
atb
o
t
d
ev
elo
p
m
en
t,
an
d
f
u
n
ctio
n
ality
test
in
g
.
Ov
er
all,
th
e
r
esear
ch
d
iv
id
es
t
h
e
p
h
ases
in
to
th
r
ee
p
h
ases
:
s
y
s
tem
d
esig
n
,
f
r
o
n
t
-
en
d
d
ev
elo
p
m
en
t,
an
d
b
ac
k
-
e
n
d
d
ev
e
lo
p
m
en
t.
T
h
e
d
esig
n
p
r
o
ce
s
s
was
f
ac
ilit
a
ted
b
y
d
ev
elo
p
in
g
d
esig
n
d
iag
r
am
s
a
s
s
h
o
wn
in
th
e
f
o
llo
win
g
s
u
b
s
ec
tio
n
s
.
T
h
e
s
y
s
tem
d
esig
n
i
n
clu
d
es
th
e
s
y
s
tem
f
lo
wch
ar
t a
n
d
u
s
e
ca
s
e
d
iag
r
a
m
.
T
h
e
f
lo
wch
ar
t,
as d
ep
icted
in
Fig
u
r
e
2
,
illu
s
tr
ates th
e
o
v
er
all
f
lo
w
o
f
h
o
w
th
e
ch
atb
o
t o
p
er
ates a
n
d
th
e
s
y
s
tem
ar
ch
itectu
r
e
in
f
u
r
t
h
er
d
e
p
th
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
C
o
n
vo
lu
tio
n
a
l
n
eu
r
a
l n
etw
o
r
k
mo
d
ellin
g
fo
r
a
u
tis
tic
in
d
ivid
u
a
liz
ed
ed
u
ca
tio
n
ch
a
tb
o
t
(
R
a
s
ee
d
a
Ha
mza
h
)
111
Fig
u
r
e
1
.
R
esear
ch
f
lo
w
Fig
u
r
e
2
.
C
h
atb
o
t
f
lo
wch
ar
t
2
.
1
.
Sy
s
t
e
m
des
ig
n
On
e
cr
u
cial
asp
ec
t
i
n
th
e
s
y
s
tem
d
esig
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ase
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ch
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r
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ied
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ty
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ir
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ase
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iate
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in
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ies
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r
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e
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o
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Fig
u
r
e
3
d
is
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lay
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th
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ca
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iag
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atin
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ter
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ile
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2
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2
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Q
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t
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Ed
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c
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t
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l
1.
Th
e
c
h
i
l
d
h
a
s
p
o
o
r
g
r
o
s
s m
o
t
o
r
s
k
i
l
l
2.
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s t
h
e
r
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a
l
e
ss
o
n
p
l
a
n
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o
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?
3.
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o
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?
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2
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c
e
s
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t
e
d
w
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s
A
d
mi
n
i
s
t
r
a
t
i
v
e
1.
H
o
w
a
b
o
u
t
t
e
a
c
h
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n
g
mat
e
r
i
a
l
?
2.
H
o
w
d
o
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k
n
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w
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b
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t
m
y
s
t
a
f
f
p
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3.
C
a
n
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p
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f
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1
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t
e
d
w
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ad
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itio
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t
o
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ac
e
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to
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g
s
,
in
ter
n
et
m
ee
tin
g
s
with
th
e
r
ep
r
esen
tativ
es
wer
e
al
s
o
u
s
ed
to
co
llect
d
ata.
B
ef
o
r
e
th
e
in
ter
v
i
ewin
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s
ess
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s
,
eth
ical
ap
p
r
o
v
al
was
s
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u
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h
t
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d
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.
O
b
s
er
v
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s
o
n
th
e
k
id
s
at
th
e
Natio
n
al
Au
tis
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C
en
ter
wer
e
co
n
d
u
cted
to
f
o
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m
a
d
ataset
th
at
c
o
n
tain
s
th
e
f
r
eq
u
en
tly
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q
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esti
o
n
s
(
FAQ)
.
T
h
e
r
aw
d
a
ta
th
at
wer
e
u
s
ed
in
th
is
r
esear
ch
wen
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th
r
o
u
g
h
a
p
r
e
-
p
r
o
ce
s
s
in
g
s
tag
e
s
u
ch
a
s
to
k
en
izatio
n
,
s
tem
m
in
g
,
an
d
lem
m
atiza
tio
n
.
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n
th
e
to
k
e
n
izatio
n
,
th
e
s
en
ten
ce
s
wer
e
c
h
u
n
k
e
d
in
to
wo
r
d
s
.
T
h
en
,
all
th
e
u
n
n
ec
ess
ar
y
m
ar
k
s
s
u
ch
as
p
u
n
ctu
atio
n
m
a
r
k
s
,
s
to
p
wo
r
d
s
,
an
d
f
iller
s
wer
e
f
ilter
ed
.
W
o
r
d
n
o
r
m
aliza
tio
n
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ex
ec
u
ted
o
n
th
e
f
ilter
ed
to
k
en
ize
d
wo
r
d
b
y
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s
in
g
an
NL
P
ap
p
r
o
ac
h
o
f
s
tem
m
in
g
an
d
lem
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atiza
tio
n
.
I
n
s
tem
m
in
g
,
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e
s
tr
in
g
was
d
iv
i
d
ed
in
t
o
s
u
b
s
tr
in
g
s
b
y
u
tili
zin
g
s
p
ec
if
ic
r
u
les.
Stem
m
in
g
was
d
o
n
e
to
r
em
o
v
e
w
o
r
d
af
f
ix
e
s
an
d
s
u
f
f
ix
es
th
u
s
r
ed
u
cin
g
in
f
lectio
n
in
wo
r
d
s
to
th
eir
r
o
o
t
f
o
r
m
s
,
h
en
ce
ass
is
tin
g
in
tex
t,
wo
r
d
,
an
d
d
o
cu
m
en
t
p
r
ep
a
r
atio
n
f
o
r
tex
t
n
o
r
m
aliza
tio
n
.
On
th
e
o
th
er
h
a
n
d
,
lem
m
atiza
tio
n
is
r
em
o
v
in
g
o
n
ly
in
f
lectio
n
al
en
d
in
g
s
an
d
r
etu
r
n
in
g
th
e
lem
m
a,
wh
ich
is
th
e
b
asic
o
r
d
ictio
n
ar
y
f
o
r
m
o
f
a
wo
r
d
s
u
ch
as
ten
s
e,
ca
s
e,
v
o
ice,
asp
ec
t,
p
er
s
o
n
,
n
u
m
b
er
,
g
e
n
d
er
,
a
n
d
m
o
o
d
.
R
ed
u
cin
g
in
f
lectio
n
al
wo
r
d
s
ca
n
av
o
id
r
ed
u
n
d
an
cy
in
t
h
e
NL
P
p
r
o
ce
s
s
.
Alth
o
u
g
h
lem
m
atiza
tio
n
is
q
u
ite
co
m
p
lex
c
o
m
p
ar
e
d
to
s
tem
m
in
g
,
it
p
r
o
v
id
es
th
e
lex
ical
an
d
m
o
r
p
h
o
lo
g
ical
o
f
th
e
wo
r
d
s
,
wh
ich
f
i
n
ally
p
r
o
d
u
ce
s
th
e
d
ictio
n
ar
y
f
o
r
m
o
f
th
e
wo
r
d
s
.
T
h
e
r
aw
d
ata,
as
s
h
o
w
n
in
in
f
o
r
m
atio
n
g
ath
e
r
in
g
,
wer
e
c
o
n
v
er
ted
in
to
a
J
av
aScr
ip
t
o
b
je
ct
n
o
tatio
n
(
J
SON)
f
ile,
a
f
o
r
m
th
e
alg
o
r
i
th
m
ca
n
r
ea
d
.
J
SON
is
a
lig
h
t
weig
h
t
f
o
r
m
at
f
o
r
s
to
r
in
g
an
d
tr
an
s
p
o
r
tin
g
d
ata.
Fig
u
r
e
4
s
h
o
ws
a
s
n
ap
s
h
o
t
o
f
th
e
J
SON
u
s
ed
f
o
r
th
e
c
h
atb
o
t
.
J
SON
is
a
s
tan
d
ar
d
d
ata
in
ter
ch
an
g
e
f
o
r
m
at
th
at
J
SON
f
il
e
d
ictio
n
ar
y
in
clu
d
in
g
tag
s
,
p
atter
n
s
,
an
d
r
esp
o
n
s
es
[
2
4
]
,
[
2
5
]
.
T
r
a
d
itio
n
ally
,
m
ac
h
i
n
e
lear
n
in
g
m
o
d
elin
g
n
ee
d
s
to
g
o
th
r
o
u
g
h
a
co
m
p
lex
task
s
u
ch
as
d
at
a
p
r
ep
ar
atio
n
an
d
f
ea
tu
r
e
ex
tr
ac
tio
n
b
ef
o
r
e
g
o
in
g
th
r
o
u
g
h
d
if
f
er
en
t
s
u
itab
le
m
o
d
elin
g
p
r
o
ce
s
s
es
o
f
tr
ain
in
g
,
test
in
g
,
an
d
v
alid
ati
o
n
.
B
y
u
s
in
g
J
SON,
all
th
e
h
u
s
tles
ca
n
b
e
s
k
ip
p
ed
.
I
n
th
e
J
SON
d
ictio
n
ar
y
,
th
er
e
will
b
e
o
n
e
u
n
iq
u
e
r
esp
o
n
s
e
f
o
r
ea
ch
tag
,
an
d
th
er
e
m
ay
b
e
m
u
ltip
le
q
u
esti
o
n
s
b
ased
o
n
th
e
tag
s
.
T
h
e
ta
g
s
wer
e
s
ep
ar
ated
in
to
two
s
ec
tio
n
s
,
ea
ch
co
n
t
ain
in
g
a
s
in
g
le
an
s
wer
with
n
u
m
er
o
u
s
i
n
ten
d
ed
u
s
er
in
p
u
ts
.
T
h
e
ta
g
s
also
in
clu
d
e
k
ey
wo
r
d
s
s
u
ch
a
s
ac
q
u
ain
tan
ce
an
d
g
r
ee
tin
g
.
T
h
e
J
SON
f
ile
was tr
ain
ed
u
s
in
g
a
C
NN
th
at
is
ex
p
l
ain
ed
in
th
e
n
ex
t sectio
n
s
.
Fig
u
r
e
4
.
J
SON
f
ile
f
o
r
d
ataset
d
esig
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
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tell
I
SS
N:
2252
-
8
9
3
8
C
o
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eu
r
a
l n
etw
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r
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ivid
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ed
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o
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(
R
a
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d
a
Ha
mza
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)
113
T
r
ad
itio
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ally
,
m
ac
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i
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m
o
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ata
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ep
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er
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itab
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test
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g
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d
v
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.
B
y
u
s
i
n
g
J
SON,
all
th
e
h
u
s
tles
ca
n
b
e
s
k
ip
p
ed
.
I
n
th
e
J
SON
d
icti
o
n
ar
y
,
th
er
e
will
b
e
o
n
e
u
n
iq
u
e
r
esp
o
n
s
e
f
o
r
ea
c
h
tag
,
an
d
th
er
e
m
ay
b
e
m
u
l
tip
le
q
u
esti
o
n
s
b
ased
o
n
th
e
tag
s
.
T
h
e
tag
s
ar
e
s
ep
ar
ated
in
to
two
s
ec
tio
n
s
,
ea
ch
co
n
tain
in
g
a
s
in
g
le
an
s
wer
with
n
u
m
er
o
u
s
in
ten
d
ed
u
s
er
in
p
u
ts
.
T
h
e
tag
s
also
i
n
clu
d
e
k
ey
wo
r
d
s
s
u
ch
as
ac
q
u
ain
tan
ce
an
d
g
r
ee
tin
g
.
T
h
e
J
SON
f
ile
is
tr
ai
n
ed
u
s
in
g
a
C
NN
th
at
is
ex
p
lain
ed
in
th
e
n
e
x
t sectio
n
s
.
2
.
2
.
1
.
User
inte
rf
a
ce
des
ig
n
T
h
e
u
s
er
i
n
ter
f
ac
e
(
UI
)
d
esig
n
is
o
n
e
o
f
t
h
e
m
o
s
t
im
p
o
r
ta
n
t
asp
ec
ts
o
f
a
s
y
s
tem
’
s
d
esig
n
t
o
m
ak
e
i
t
ap
p
ea
lin
g
an
d
u
s
er
-
f
r
ien
d
l
y
.
Hav
in
g
a
u
s
er
in
ter
f
ac
e
d
esig
n
ea
r
ly
in
th
e
p
r
o
ject
d
e
v
elo
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m
en
t
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r
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ce
s
s
m
ig
h
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ass
is
t
in
av
o
id
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m
is
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es
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d
d
em
o
n
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tr
ate
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o
w
th
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y
s
tem
o
p
er
ates
f
r
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m
th
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s
er
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s
p
er
s
p
ec
tiv
e.
T
h
e
u
s
er
in
ter
f
ac
e
d
esig
n
is
p
ar
t
o
f
th
e
f
r
o
n
t
-
e
n
d
p
r
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ce
s
s
th
at
will
h
a
v
e
ch
o
ices
o
f
b
u
tto
n
s
f
o
r
th
e
u
s
er
to
in
ter
ac
t
with
th
e
ch
atb
o
t.
Fig
u
r
e
5
d
e
p
icts
a
g
r
ap
h
ical
u
s
er
in
ter
f
ac
e
(
G
UI
)
th
at
is
o
f
f
er
ed
f
o
r
ae
s
th
et
ic
p
u
r
p
o
s
es
an
d
t
o
m
ak
e
th
e
d
ialo
g
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e
m
o
r
e
u
s
er
-
f
r
ien
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ly
.
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ased
o
n
Fig
u
r
e
5
,
wh
en
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u
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er
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n
p
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ts
a
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er
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click
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en
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h
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o
t
is
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n
n
ec
ted
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e
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ain
ed
d
ataset
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d
ab
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o
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t
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e.
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h
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test
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a
s
u
cc
ess
s
in
ce
th
e
ch
atb
o
t
s
en
t
a
r
ep
ly
.
Fig
u
r
e
5
(
a
)
lets
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o
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s
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t
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h
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o
t,
Fig
u
r
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5
(
b
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lets
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F
ig
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5
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d
Fig
u
r
e
5
(
d
)
lets
th
e
ch
atb
o
t a
n
s
wer
.
(
a)
(
b
)
(
c)
(
d
)
Fig
u
r
e
5
.
Gr
a
p
h
ical
u
s
er
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ter
f
ac
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f
Au
d
iEBOT:
(
a)
s
tar
tin
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th
e
ch
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o
t,
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b
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a
s
im
p
le
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(
c)
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en
d
in
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a
q
u
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d
(
d
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C
h
atb
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t
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ep
lies
2
.
2
.
2
.
Cha
t
bo
t
m
o
dellin
g
us
i
ng
co
nv
o
lutio
na
l neura
l net
wo
rk
a
lg
o
rit
hm
s
T
h
e
C
NN
m
o
d
el
was
ch
o
s
en
to
d
ev
elo
p
th
e
c
h
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t
b
ec
au
s
e
o
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its
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er
f
o
r
m
an
ce
in
p
r
ed
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ctin
g
u
s
er
in
p
u
t
co
m
p
ar
ed
to
o
th
er
co
n
v
en
tio
n
al
m
ac
h
in
e
lear
n
in
g
alg
o
r
ith
m
s
.
T
h
e
C
NN
is
a
wi
d
ely
r
ec
o
g
n
ize
d
ar
ch
itectu
r
e
in
th
e
f
ield
o
f
d
e
ep
lear
n
in
g
.
I
t
h
as
b
ee
n
ex
te
n
s
iv
ely
em
p
lo
y
ed
in
s
ev
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al
d
o
m
ain
s
,
in
clu
d
in
g
im
ag
e
p
r
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ce
s
s
in
g
an
d
n
etwo
r
k
in
tr
u
s
io
n
d
etec
tio
n
[
2
6
]
.
On
e
o
f
th
e
k
ey
ad
v
an
tag
es
o
f
C
NNs
is
th
eir
ab
ilit
y
to
f
ac
ilit
ate
d
ee
p
er
n
eu
r
al
n
etw
o
r
k
s
with
s
ig
n
if
ican
tly
f
ewe
r
p
ar
am
eter
s
.
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o
m
p
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o
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icatio
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eth
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d
s
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C
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ir
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b
s
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tially
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in
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n
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ca
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ig
n
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ica
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tly
lear
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all
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ilter
s
an
d
f
ea
tu
r
es.
C
NNs
ar
e
m
u
ltil
ay
er
p
er
ce
p
tr
o
n
(
ML
P)
v
ar
ian
ts
with
co
n
v
o
l
u
tio
n
al
lay
er
s
.
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h
e
co
n
v
o
l
u
tio
n
al
lay
er
m
in
im
izes
n
etwo
r
k
co
m
p
le
x
ity
b
y
ap
p
ly
in
g
a
co
n
v
o
l
u
tio
n
f
u
n
ctio
n
t
o
th
e
in
p
u
t
an
d
f
o
r
w
ar
d
in
g
th
e
r
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lt
t
o
th
e
n
ex
t
lay
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,
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aly
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g
a
s
en
ten
ce
/im
ag
e
at
a
tim
e.
C
NN
r
ed
u
ce
s
co
m
p
lex
ity
,
allo
win
g
d
ee
p
er
n
etwo
r
k
s
to
h
an
d
le
m
o
r
e
c
o
m
p
licated
in
p
u
t.
I
n
ch
atb
o
t
d
e
v
elo
p
m
e
n
t,
C
NN
tak
es
a
tex
t
as
in
p
u
t
an
d
ass
ig
n
s
im
p
o
r
tan
t
p
ar
am
eter
s
o
f
lear
n
ab
le
weig
h
ts
(
w)
an
d
b
iases
(
b
)
to
v
a
r
io
u
s
f
ea
tu
r
es
a
n
d
o
b
jects
in
th
e
tex
t,
allo
win
g
it
to
d
if
f
er
en
tiate
b
etwe
en
t
h
em
.
T
h
e
C
NN
m
o
d
el
th
at
was
u
s
ed
in
th
is
r
esear
ch
co
n
s
is
ts
o
f
3
h
id
d
en
lay
er
s
,
ea
ch
with
1
0
n
eu
r
o
n
s
as
s
h
o
wn
in
Fig
u
r
e
6
.
T
h
e
b
atch
s
ize
u
s
ed
in
th
e
C
NN
m
o
d
elin
g
is
1
0
with
0
.
0
0
1
lear
n
in
g
r
ate.
T
h
e
h
id
d
e
n
n
e
u
r
o
n
in
ea
ch
h
id
d
en
lay
e
r
ac
ts
th
e
s
am
e
as
o
u
r
b
r
ai
n
wh
ich
is
in
f
lu
en
ce
d
b
y
th
e
o
r
g
an
izatio
n
o
f
th
e
v
is
u
al
co
r
t
ex
.
T
h
e
in
p
u
t
s
ize
is
r
elate
d
to
th
e
h
id
d
en
s
ize,
an
d
th
e
h
id
d
e
n
s
ize
is
co
n
n
ec
ted
to
th
e
n
u
m
b
er
o
f
class
es,
b
ased
o
n
th
e
r
elatio
n
s
h
ip
b
etwe
en
th
e
lay
er
s
.
W
h
en
th
e
u
s
er
p
r
o
v
id
es
in
p
u
t,
th
e
m
o
d
el
i
n
itially
to
k
en
i
ze
s
th
e
in
f
o
r
m
atio
n
b
y
d
iv
id
in
g
it
in
t
o
to
k
en
s
,
wh
ich
a
r
e
s
m
aller
p
ie
ce
s
o
f
tex
t.
T
h
e
to
k
en
s
in
th
i
s
co
n
tex
t
co
n
s
is
t
o
f
ch
a
r
ac
ter
s
,
wo
r
d
s
,
an
d
s
u
b
-
wo
r
d
s
.
T
h
e
to
k
e
n
s
ar
e
s
u
b
s
eq
u
en
tly
s
er
ialized
in
to
a
s
tr
ea
m
o
f
0
s
an
d
1
s
,
a
p
r
o
ce
s
s
k
n
o
wn
as
s
er
ializatio
n
.
T
h
en
,
it
co
m
p
ar
es
th
e
in
p
u
t
wi
th
th
e
d
ata
f
r
o
m
wh
ic
h
th
e
b
o
t
was
tr
ain
ed
an
d
esti
m
ates
th
e
p
r
o
b
a
b
ilit
y
o
f
t
h
at
in
p
u
t
b
ein
g
ass
o
ciate
d
with
ea
ch
tag
.
T
h
e
p
atter
n
with
th
e
h
i
g
h
est
p
r
o
b
ab
ilit
y
tag
is
co
n
s
id
er
ed
an
d
co
m
p
ar
ed
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8
9
3
8
I
n
t J Ar
tif
I
n
tell
,
Vo
l.
14
,
No
.
1
,
Feb
r
u
ar
y
2
0
2
5
:
1
09
-
1
18
114
with
a
p
r
e
d
eter
m
in
ed
co
n
f
id
e
n
ce
th
r
esh
o
l
d
.
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f
t
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tag
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s
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ab
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d
s
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esh
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ld
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r
a
n
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o
m
f
u
n
ctio
n
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s
ed
to
d
is
p
lay
o
n
e
o
f
its
r
e
s
p
o
n
s
es o
n
th
e
u
s
er
i
n
ter
f
ac
e.
T
h
e
p
r
o
ce
s
s
is
s
h
o
wn
in
Fig
u
r
e
7
.
Fig
u
r
e
6
.
C
NN
with
3
h
id
d
en
l
ay
er
s
,
I
in
p
u
t la
y
er
,
h
n
: h
id
d
en
lay
er
s
an
d
o
is
th
e
o
u
tp
u
t la
y
e
r
Fig
u
r
e
7
.
T
h
e
s
y
s
tem
ar
ch
itect
u
r
e
Mu
ltip
le
test
s
wer
e
s
et
u
p
f
o
r
th
e
m
o
d
elin
g
o
f
C
NN
b
y
tes
tin
g
a
r
an
g
e
o
f
5
0
0
to
4
,
5
0
0
ep
o
ch
s
to
ac
h
iev
e
m
in
im
al
lo
s
s
.
T
h
e
e
p
o
ch
s
wer
e
in
itially
s
et
at
5
0
0
.
Ho
wev
er
,
th
e
o
u
tco
m
e
a
p
p
ea
r
ed
less
th
an
p
r
o
m
is
in
g
.
T
h
e
n
u
m
b
er
o
f
ep
o
ch
s
in
cr
ea
s
ed
b
y
5
0
0
u
n
til
it
r
ea
ch
ed
4
,
5
0
0
.
I
t
was
d
is
co
v
er
ed
th
at
ep
o
ch
s
o
f
4
,
0
0
0
ar
e
o
p
tim
al
b
ec
au
s
e
t
h
ey
p
r
o
d
u
ce
d
th
e
l
o
west
er
r
o
r
r
ate.
A
p
r
ed
eter
m
i
n
ed
co
n
f
id
en
ce
th
r
esh
o
l
d
b
etwe
en
0
.
5
0
an
d
0
.
8
5
was
estab
lis
h
ed
to
co
m
p
a
r
e
th
e
i
n
p
u
t
with
th
e
d
ata
th
at
was
tr
ai
n
ed
in
t
h
e
m
o
d
el.
I
t
was
d
is
co
v
er
ed
th
at
wh
en
0
.
7
was
s
elec
ted
,
to
o
m
an
y
in
ap
p
r
o
p
r
iate
r
esp
o
n
s
es
wer
e
d
is
p
lay
ed
,
an
d
wh
en
0
.
8
5
was
s
elec
ted
,
th
e
C
NN
p
r
ed
ict
io
n
was
to
o
s
tr
ict.
C
o
n
s
eq
u
en
t
ly
,
th
e
v
alu
e
o
f
0
.
7
5
was
ch
o
s
en
.
T
o
m
ea
s
u
r
e
t
h
e
ac
cu
r
ac
y
o
f
th
e
c
h
atb
o
t,
th
e
ac
cu
r
ac
y
o
f
th
e
c
h
atb
o
t w
as c
alcu
lated
u
s
in
g
(
1
)
.
=
(
1
)
3.
RE
SU
L
T
AND
DI
SCUS
SI
O
NS
T
h
e
r
esu
lts
p
r
esen
t
tr
ain
in
g
an
d
test
in
g
o
f
th
e
C
NN
m
o
d
el
u
s
in
g
s
p
ec
if
ic
p
r
e
-
d
ef
in
e
d
h
y
p
er
p
ar
am
eter
s
an
d
th
r
esh
o
l
d
s
.
T
h
e
co
r
r
ec
tn
ess
o
f
th
e
c
h
at
b
o
t
is
also
ev
alu
ated
n
u
m
er
o
u
s
tim
es
to
s
elec
t
th
e
m
o
s
t
d
ep
en
d
ab
le
n
u
m
b
er
o
f
cy
cles
o
f
th
e
d
ataset
th
at
m
u
s
t
b
e
tr
ain
ed
to
ac
h
iev
e
th
e
lo
west
er
r
o
r
.
Sev
er
al
test
in
ten
ts
an
d
th
eir
g
r
o
u
n
d
tr
u
th
co
n
f
id
en
ce
p
er
ce
n
tag
es we
r
e
p
r
ep
ar
e
d
.
3
.
1
.
M
o
dellin
g
t
ra
ini
ng
re
s
ult
T
ab
le
2
s
h
o
ws th
e
tr
ain
in
g
r
esu
lt o
f
C
NN
m
o
d
elin
g
d
u
r
in
g
t
h
e
ch
atb
o
t d
ev
elo
p
m
en
t th
at
was d
o
n
e
in
f
o
u
r
f
o
ld
s
.
T
h
e
r
esu
lts
ar
e
also
ar
r
an
g
ed
ac
co
r
d
in
g
t
o
th
e
N
L
P
th
r
esh
o
ld
s
ettin
g
.
E
ac
h
ep
o
ch
r
ep
r
esen
ts
o
n
e
cy
cle
o
f
tr
ain
in
g
,
wh
ile
lo
s
s
i
s
th
e
p
r
o
p
o
r
tio
n
o
f
tr
ain
er
r
o
r
s
.
T
h
e
n
u
m
b
er
o
f
ep
o
ch
s
is
a
lter
ed
to
d
eter
m
in
e
an
d
m
in
im
ize
th
e
n
u
m
b
er
o
f
er
r
o
r
s
.
As
d
escr
ib
ed
in
th
e
p
r
ec
ed
in
g
s
ec
tio
n
,
m
u
ltip
le
ep
o
ch
s
wer
e
u
tili
ze
d
to
tr
ain
C
NN.
On
av
er
ag
e,
f
o
u
r
f
o
ld
s
o
f
tr
ain
in
g
wer
e
d
o
n
e.
T
h
e
s
ec
o
n
d
f
o
l
d
d
e
n
o
ted
th
e
lo
w
e
s
t lo
s
s
o
f
0
.
0
3
1
.
3
.
2
.
Cha
t
bo
t
t
esting
T
o
s
ee
th
e
p
er
f
o
r
m
a
n
ce
o
f
t
h
e
ch
atb
o
t,
two
ty
p
es
o
f
test
in
g
wer
e
d
o
n
e.
T
h
e
f
ir
s
t
was
b
y
u
s
in
g
th
r
esh
o
ld
a
n
d
th
e
n
e
x
t
o
n
e
wa
s
u
s
in
g
u
s
ab
ilit
y
q
u
esti
o
n
n
air
e
s
g
ath
er
ed
f
r
o
m
[
2
6
]
.
A
test
ca
s
e
was
co
n
s
tr
u
cted
to
co
n
f
i
r
m
th
at
th
e
s
y
s
tem
p
r
o
d
u
ce
d
th
e
i
n
ten
d
ed
r
esu
lt.
T
h
e
ch
atb
o
t
was
test
ed
f
o
r
all
p
o
ten
tial
f
laws
to
g
u
ar
an
tee
th
at
t
h
e
ap
p
licatio
n
co
u
ld
h
a
n
d
le
th
e
p
r
o
b
lem
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Ar
tif
I
n
tell
I
SS
N:
2252
-
8
9
3
8
C
o
n
vo
lu
tio
n
a
l
n
eu
r
a
l n
etw
o
r
k
mo
d
ellin
g
fo
r
a
u
tis
tic
in
d
ivid
u
a
liz
ed
ed
u
ca
tio
n
ch
a
tb
o
t
(
R
a
s
ee
d
a
Ha
mza
h
)
115
T
ab
le
2
.
T
r
ai
n
in
g
r
esu
lt o
f
C
NN
m
o
d
elin
g
F
o
l
d
1
F
o
l
d
2
F
o
l
d
3
F
o
l
d
4
N
u
mb
e
r
o
f
e
p
o
c
h
Lo
ss
N
u
mb
e
r
o
f
e
p
o
c
h
Lo
ss
N
u
mb
e
r
o
f
e
p
o
c
h
Lo
ss
N
u
mb
e
r
o
f
e
p
o
c
h
Lo
ss
5
0
0
0
.
0
0
6
9
5
0
0
0
.
0
0
6
9
5
0
0
0
.
0
0
6
9
5
0
0
0
.
0
0
6
9
1
,
0
0
0
0
.
1
7
4
4
1
,
0
0
0
0
.
1
1
,
0
0
0
0
.
2
1
,
0
0
0
0
.
1
9
0
1
1
,
5
0
0
0
.
0
0
0
2
1
,
5
0
0
0
.
0
0
0
2
1
,
5
0
0
0
.
0
0
0
2
1
,
5
0
0
0
.
0
0
0
2
2
,
0
0
0
0
2
,
0
0
0
0
2
,
0
0
0
0
2
,
0
0
0
0
2
,
5
0
0
0
.
0
8
7
6
2
,
5
0
0
0
2
,
5
0
0
0
.
0
8
7
6
2
,
5
0
0
0
.
0
8
7
6
3
,
0
0
0
0
3
,
0
0
0
0
3
,
0
0
0
0
3
,
0
0
0
0
3
,
5
0
0
0
3
,
5
0
0
0
3
,
5
0
0
0
3
,
5
0
0
0
4
,
0
0
0
0
4
,
0
0
0
0
4
,
0
0
0
0
4
,
0
0
0
0
4
,
5
0
0
0
.
1
7
3
3
4
5
0
0
0
.
1
7
0
2
4
,
5
0
0
0
.
1
7
1
5
4
,
5
0
0
0
.
1
8
0
1
A
v
e
r
a
g
e
l
o
ss
0
.
0
4
9
1
0
.
0
3
0
8
0
.
0
5
1
8
0
.
0
5
1
6
3
.
2
.
1
.
T
esting
ba
s
ed
o
n t
hres
ho
ld
T
h
e
ch
atb
o
t
co
n
s
id
er
ed
a
r
esp
o
n
s
e
v
alid
if
its
co
n
f
i
d
en
ce
s
c
o
r
e
is
eq
u
al
to
o
r
g
r
ea
ter
th
a
n
0
.
7
5
.
T
h
e
co
n
f
id
en
ce
s
co
r
e
r
e
p
r
esen
ts
th
e
m
o
d
el
’
s
esti
m
atio
n
o
f
h
o
w
co
n
f
id
e
n
t
it
is
in
g
en
er
atin
g
t
h
e
r
esp
o
n
s
e.
B
ased
o
n
th
e
test
in
g
,
wh
e
n
th
e
0
.
7
5
th
r
esh
o
ld
was
ch
o
s
en
,
m
o
s
t
te
s
t
in
ten
t
s
co
r
ed
a
co
n
f
id
e
n
ce
o
f
m
o
r
e
t
h
an
9
0
%.
T
o
f
in
d
th
e
o
p
tim
u
m
th
r
esh
o
l
d
v
alu
e
f
o
r
th
e
c
h
atb
o
t,
we
f
ed
th
e
b
o
t
with
th
e
test
th
at
h
as b
ee
n
an
n
o
tated
with
its
co
r
r
ec
t
r
esp
o
n
s
es
o
r
its
c
o
r
r
ec
t
g
r
o
u
n
d
tr
u
t
h
v
al
u
e.
T
h
en
th
e
o
u
t
p
u
t
was
in
s
p
ec
ted
b
ase
d
o
n
th
e
co
n
f
id
en
ce
th
r
esh
o
ld
at
d
if
f
er
e
n
t
lev
els
o
f
0
.
5
0
,
0
.
7
5
,
0
.
8
0
,
a
n
d
0
.
8
5
.
T
h
er
e
wer
e
ab
o
u
t
1
5
0
i
n
ten
ts
test
ed
f
o
r
ea
ch
o
f
th
e
co
n
f
id
en
ce
th
r
esh
o
ld
s
.
R
esu
lts
f
o
r
th
e
av
er
a
g
e
ac
cu
r
ac
y
ag
ain
s
t
co
n
f
id
en
ce
t
h
r
esh
o
ld
s
ar
e
p
r
esen
ted
in
T
ab
le
3
.
I
t c
a
n
b
e
o
b
s
er
v
e
d
th
at
th
e
h
ig
h
est ac
cu
r
ac
y
is
at
a
co
n
f
id
en
ce
th
r
esh
o
ld
o
f
0
.
8
0
wh
ich
is
ab
o
u
t 8
5
%.
T
ab
le
3
.
T
est ca
s
es o
f
co
n
f
id
e
n
ce
th
r
esh
o
ld
s
C
o
n
f
i
d
e
n
c
e
t
h
r
e
s
h
o
l
d
A
v
e
r
a
g
e
c
o
n
f
i
d
e
n
c
e
s
c
o
r
e
(
%)
0
.
5
0
47
0
.
6
0
66
0
.
7
0
75
0
.
7
5
88
0
.
8
0
85
0
.
8
5
80
3
.
2
.
2
.
Cha
t
bo
t
us
a
bil
it
y
qu
es
t
io
nn
a
ires
A
ch
atb
o
t
u
s
ab
ilit
y
q
u
esti
o
n
n
air
e
is
a
s
et
o
f
q
u
esti
o
n
s
d
esig
n
ed
to
ass
ess
th
e
u
s
er
ex
p
er
ien
ce
an
d
u
s
ab
ilit
y
o
f
a
ch
at
b
o
t.
I
t
h
elp
s
g
ath
er
f
ee
d
b
ac
k
f
r
o
m
u
s
er
s
to
u
n
d
er
s
tan
d
t
h
eir
s
atis
f
ac
tio
n
,
ea
s
e
o
f
u
s
e,
an
d
o
v
er
all
im
p
r
ess
io
n
o
f
in
ter
ac
tin
g
with
th
e
ch
a
tb
o
t.
T
h
e
elem
en
ts
th
at
ar
e
i
n
clu
d
ed
in
a
ch
atb
o
t
u
s
ab
ilit
y
q
u
esti
o
n
n
air
e
as
s
h
o
wn
in
T
a
b
le
4
.
T
h
e
q
u
esti
o
n
n
air
es
wer
e
r
an
k
ed
f
r
o
m
s
tr
o
n
g
l
y
d
is
ag
r
ee
to
s
tr
o
n
g
ly
ag
r
ee
,
with
in
ter
m
ed
iate
ch
o
ices in
b
etwe
en
.
T
ab
le
4
.
C
h
atb
o
t
u
s
ab
ilit
y
q
u
e
s
tio
n
n
air
e
Q
u
e
st
i
o
ns
S
t
r
o
n
g
l
y
d
i
s
a
g
r
e
e
D
i
sag
r
e
e
N
e
u
t
r
a
l
A
g
r
e
e
S
t
r
o
n
g
l
y
a
g
r
e
e
Q
1
T
h
e
c
h
a
t
b
o
t
’
s
p
e
r
so
n
a
l
i
t
y
w
a
s re
a
l
i
st
i
c
a
n
d
e
n
g
a
g
i
n
g
Q
2
T
h
e
c
h
a
t
b
o
t
see
me
d
t
o
o
r
o
b
o
t
i
c
Q
3
T
h
e
c
h
a
t
b
o
t
w
a
s w
e
l
c
o
m
i
n
g
d
u
r
i
n
g
t
h
e
i
n
i
t
i
a
l
se
t
u
p
Q
4
T
h
e
c
h
a
t
b
o
t
see
me
d
v
e
r
y
u
n
f
r
i
e
n
d
l
y
Q
5
T
h
e
c
h
a
t
b
o
t
e
x
p
l
a
i
n
e
d
i
t
s s
c
o
p
e
a
n
d
p
u
r
p
o
se
w
e
l
l
Q
6
T
h
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
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117
(
C
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Un
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T
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Sh
ah
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RE
F
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R
E
NC
E
S
[
1
]
E.
L
o
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g
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S
.
V
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mar,
S
.
G
y
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2
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s
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rre
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ro
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z
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h
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.
m
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.
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