other,12-3-P03-1031,bq |
</term>
result can be obtained for a
<term>
|
user utterance
|
</term>
due to the
<term>
ambiguity
</term>
of
|
#4167
Since multiple candidates for the understanding result can be obtained for auser utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
other,15-2-P03-1031,bq |
based on the
<term>
context
</term>
of a
<term>
|
dialogue
|
</term>
. Since multiple
<term>
candidates
</term>
|
#4153
This process enables the system to understand user utterances based on the context of adialogue. |
tech,6-7-P03-1031,bq |
Experiment results have shown that a
<term>
|
system
|
</term>
that exploits the proposed
<term>
method
|
#4260
Experiment results have shown that asystem that exploits the proposed method performs sufficiently and that holding multiple candidates for understanding results is effective. |
other,34-3-P03-1031,bq |
understandingresult
</term>
after each
<term>
|
user utterance
|
</term>
. By holding multiple
<term>
candidates
|
#4189
Since multiple candidates for the understanding result can be obtained for a user utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after eachuser utterance. |
tech,20-7-P03-1031,bq |
multiple
<term>
candidates
</term>
for
<term>
|
understanding
|
</term>
results is effective . We address
|
#4274
Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiple candidates forunderstanding results is effective. |
tech,5-4-P03-1031,bq |
multiple
<term>
candidates
</term>
for
<term>
|
understanding
|
</term>
results and resolving the
<term>
ambiguity
|
#4197
By holding multiple candidates forunderstanding results and resolving the ambiguity as the dialogue progresses, the discourse understanding accuracy can be improved. |
lr,15-5-P03-1031,bq |
statistical information
</term>
obtained from
<term>
|
dialogue corpora
|
</term>
. Unlike conventional methods that
|
#4231
This paper proposes a method for resolving this ambiguity based on statistical information obtained fromdialogue corpora. |
tech,8-1-P03-1031,bq |
discourse understanding process
</term>
in
<term>
|
spoken dialogue systems
|
</term>
. This process enables the
<term>
system
|
#4134
This paper concerns the discourse understanding process inspoken dialogue systems. |
other,3-4-P03-1031,bq |
utterance
</term>
. By holding multiple
<term>
|
candidates
|
</term>
for
<term>
understanding
</term>
results
|
#4195
By holding multiplecandidates for understanding results and resolving the ambiguity as the dialogue progresses, the discourse understanding accuracy can be improved. |
other,18-7-P03-1031,bq |
sufficiently and that holding multiple
<term>
|
candidates
|
</term>
for
<term>
understanding
</term>
results
|
#4272
Experiment results have shown that a system that exploits the proposed method performs sufficiently and that holding multiplecandidates for understanding results is effective. |
other,2-3-P03-1031,bq |
<term>
dialogue
</term>
. Since multiple
<term>
|
candidates
|
</term>
for the
<term>
understanding
</term>
|
#4157
Since multiplecandidates for the understanding result can be obtained for a user utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
tech,19-3-P03-1031,bq |
due to the
<term>
ambiguity
</term>
of
<term>
|
speech understanding
|
</term>
, it is not appropriate to decide
|
#4174
Since multiple candidates for the understanding result can be obtained for a user utterance due to the ambiguity ofspeech understanding, it is not appropriate to decide on a single understandingresult after each user utterance. |
other,11-5-P03-1031,bq |
this
<term>
ambiguity
</term>
based on
<term>
|
statistical information
|
</term>
obtained from
<term>
dialogue corpora
|
#4227
This paper proposes a method for resolving this ambiguity based onstatistical information obtained from dialogue corpora. |
tech,10-6-P03-1031,bq |
hand-crafted rules
</term>
, the proposed
<term>
|
method
|
</term>
enables easy design of the
<term>
discourse
|
#4244
Unlike conventional methods that use hand-crafted rules, the proposedmethod enables easy design of the discourse understanding process. |
tech,11-7-P03-1031,bq |
system
</term>
that exploits the proposed
<term>
|
method
|
</term>
performs sufficiently and that holding
|
#4265
Experiment results have shown that a system that exploits the proposedmethod performs sufficiently and that holding multiple candidates for understanding results is effective. |
tech,31-3-P03-1031,bq |
appropriate to decide on a single
<term>
|
understandingresult
|
</term>
after each
<term>
user utterance
</term>
|
#4186
Since multiple candidates for the understanding result can be obtained for a user utterance due to the ambiguity of speech understanding, it is not appropriate to decide on a singleunderstandingresult after each user utterance. |
measure(ment),17-4-P03-1031,bq |
<term>
dialogue
</term>
progresses , the
<term>
|
discourse understanding accuracy
|
</term>
can be improved . This paper proposes
|
#4209
By holding multiple candidates for understanding results and resolving the ambiguity as the dialogue progresses, thediscourse understanding accuracy can be improved. |
other,13-4-P03-1031,bq |
resolving the
<term>
ambiguity
</term>
as the
<term>
|
dialogue
|
</term>
progresses , the
<term>
discourse understanding
|
#4205
By holding multiple candidates for understanding results and resolving the ambiguity as thedialogue progresses, the discourse understanding accuracy can be improved. |
tech,4-1-P03-1031,bq |
hypothesis . This paper concerns the
<term>
|
discourse understanding process
|
</term>
in
<term>
spoken dialogue systems
</term>
|
#4130
This paper concerns thediscourse understanding process in spoken dialogue systems. |
tech,4-2-P03-1031,bq |
systems
</term>
. This process enables the
<term>
|
system
|
</term>
to understand
<term>
user utterances
|
#4142
This process enables thesystem to understand user utterances based on the context of a dialogue. |