#7759Experimental results showed that the proposed method achieves almost 60%accuracy and that there is not a large performance difference between the two models.
other,1-3-I05-5009,ak
variable
</term>
can be inferred . A
<term>
paraphrase
</term>
is evaluated for whether its
<term>
#7734Aparaphrase is evaluated for whether its sentences are used in the same context.
other,19-2-I05-5009,ak
</term>
of the
<term>
model
</term>
as a
<term>
topic
</term>
and that the
<term>
likelihood
</term>
#7721We assume that the context of a sentence is indicated by a latent variable of the model as atopic and that the likelihood of each variable can be inferred.
other,12-2-I05-5009,ak
<term>
sentence
</term>
is indicated by a
<term>
latent variable
</term>
of the
<term>
model
</term>
as a
<term>
#7714We assume that the context of a sentence is indicated by alatent variable of the model as a topic and that the likelihood of each variable can be inferred.
model,8-1-I05-5009,ak
evaluation method
</term>
employing a
<term>
latent variable model
</term>
for
<term>
paraphrases
</term>
with their
#7693This paper presents an evaluation method employing alatent variable model for paraphrases with their contexts.
other,7-2-I05-5009,ak
assume that the
<term>
context
</term>
of a
<term>
sentence
</term>
is indicated by a
<term>
latent variable
#7709We assume that the context of asentence is indicated by a latent variable of the model as a topic and that the likelihood of each variable can be inferred.
tech,4-1-I05-5009,ak
evaluation
</term>
. This paper presents an
<term>
evaluation method
</term>
employing a
<term>
latent variable
#7689This paper presents anevaluation method employing a latent variable model for paraphrases with their contexts.
measure(ment),5-5-I05-5009,ak
</term>
. The results also revealed an
<term>
upper bound
</term>
of
<term>
accuracy
</term>
of 77 % with
#7779The results also revealed anupper bound of accuracy of 77% with the method when using only topic information.
other,26-2-I05-5009,ak
the
<term>
likelihood
</term>
of each
<term>
variable
</term>
can be inferred . A
<term>
paraphrase
#7728We assume that the context of a sentence is indicated by a latent variable of the model as a topic and that the likelihood of eachvariable can be inferred.
other,12-1-I05-5009,ak
<term>
latent variable model
</term>
for
<term>
paraphrases
</term>
with their
<term>
contexts
</term>
.
#7697This paper presents an evaluation method employing a latent variable model forparaphrases with their contexts.
other,7-3-I05-5009,ak
</term>
is evaluated for whether its
<term>
sentences
</term>
are used in the same
<term>
context
#7740A paraphrase is evaluated for whether itssentences are used in the same context.
measure(ment),8-5-I05-5009,ak
revealed an
<term>
upper bound
</term>
of
<term>
accuracy
</term>
of 77 % with the method when using
#7782The results also revealed an upper bound ofaccuracy of 77% with the method when using only topic information.
other,18-5-I05-5009,ak
% with the method when using only
<term>
topic information
</term>
. This article is devoted to the
#7792The results also revealed an upper bound of accuracy of 77% with the method when using onlytopic information.
other,13-3-I05-5009,ak
sentences
</term>
are used in the same
<term>
context
</term>
. Experimental results showed that
#7746A paraphrase is evaluated for whether its sentences are used in the samecontext.
model,16-2-I05-5009,ak
<term>
latent variable
</term>
of the
<term>
model
</term>
as a
<term>
topic
</term>
and that the
#7718We assume that the context of a sentence is indicated by a latent variable of themodel as a topic and that the likelihood of each variable can be inferred.
measure(ment),23-2-I05-5009,ak
as a
<term>
topic
</term>
and that the
<term>
likelihood
</term>
of each
<term>
variable
</term>
can be
#7725We assume that the context of a sentence is indicated by a latent variable of the model as a topic and that thelikelihood of each variable can be inferred.
other,4-2-I05-5009,ak
contexts
</term>
. We assume that the
<term>
context
</term>
of a
<term>
sentence
</term>
is indicated
#7706We assume that thecontext of a sentence is indicated by a latent variable of the model as a topic and that the likelihood of each variable can be inferred.
other,15-1-I05-5009,ak
<term>
paraphrases
</term>
with their
<term>
contexts
</term>
. We assume that the
<term>
context
#7700This paper presents an evaluation method employing a latent variable model for paraphrases with theircontexts.
model,24-4-I05-5009,ak
performance difference between the two
<term>
models
</term>
. The results also revealed an
<term>
#7772Experimental results showed that the proposed method achieves almost 60% accuracy and that there is not a large performance difference between the twomodels.