C02-1136 |
number of studies have been made on
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spoken dialogue systems
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. For the purpose of smooth interaction
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A92-1040 |
addresses two problems facing
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spoken dialogue systems
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. The first is that , for maximum
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C02-1152 |
past years , a great number of
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spoken dialogue systems
|
have been developed . Their modelspeechunderstandingprocessasconvert
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C04-1158 |
confirmation is indispensable in
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spoken dialogue systems
|
to eliminate the misunderstandings
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A00-2028 |
many re - spects . We show how
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spoken dialogue systems
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can learn to support more natural
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A00-2027 |
distinguish MIMIC from other existing
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spoken dialogue systems
|
. First , MIMIC automatically
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A00-2029 |
dialogue manager in most current
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spoken dialogue systems
|
( SDSs ) is error handling .
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C04-1043 |
therefore has the potential to advance
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spoken dialogue systems
|
. 2 Background Categorial Grammars
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C00-1068 |
robustness is one of the reason why
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spoken dialogue systems
|
have not been widely deployed
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C04-1158 |
for keywords is indispensable in
|
spoken dialogue systems
|
to eliminate misunderstandings
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C00-1073 |
language , and expertise with
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spoken dialogue systems
|
. During both training and testing
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D13-1013 |
. Such a parser is useful for
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spoken dialogue systems
|
which typically encounter disfluent
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A00-2027 |
speech technologies have enabled
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spoken dialogue systems
|
to employ mixed initiative dialogue
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A00-1014 |
of experimental prototypes of
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spoken dialogue systems
|
. Acknowledgments The author
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A00-1014 |
general framework for developing
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spoken dialogue systems
|
with different adaptation behavior
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A00-2028 |
Diane Litman Abstract Current
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spoken dialogue systems
|
are deficient in their strategies
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D15-1027 |
Henderson Abstract When building
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spoken dialogue systems
|
for a new domain , a major bottleneck
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A00-2028 |
experience . One way that current
|
spoken dialogue systems
|
are quite limited is in their
|
A00-2028 |
the baseline . 1 Introduction
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Spoken dialogue systems
|
promise efficient and natural
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D11-1054 |
been investigated in the area of
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spoken dialogue systems
|
( Jung et al. , 2009 ) , it is
|