Presentation 2005/12/14
Speech Intention Prediction based on Structurally Annotated Spoken Dialogue Corpus
Shingo KATO, Shigeki MATSUBARA, Yukiko YAMAGUCHI, Nobuo KAWAGUCHI,
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Abstract(in English) It is important for a cooperative spoken dialogue system to predict the intention of the next utterance. If a system can predict the intentions of user's utterances, it would contribute to an improvement of accuracy of speech recognition and could be used for the decision of system's utterances. In this paper, we propose a method of speech intention prediction based on structurally annotated spoken dialogue corpus. The method constructs the dialogue structures incrementally, and predicts the intention of the next utterance statistically. As a result of an experiment, 93% was provided as the prediction accuracy.
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Keyword(in English) dialogue model / dialogue understanding / structural analysis / dialogue control / spoken dialogue system
Paper # NLC2005-69,SP2005-102
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Committee NLC
Conference Date 2005/12/14(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Speech Intention Prediction based on Structurally Annotated Spoken Dialogue Corpus
Sub Title (in English)
Keyword(1) dialogue model
Keyword(2) dialogue understanding
Keyword(3) structural analysis
Keyword(4) dialogue control
Keyword(5) spoken dialogue system
1st Author's Name Shingo KATO
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Shigeki MATSUBARA
2nd Author's Affiliation Information Technology Center, Nagoya University
3rd Author's Name Yukiko YAMAGUCHI
3rd Author's Affiliation Information Technology Center, Nagoya University
4th Author's Name Nobuo KAWAGUCHI
4th Author's Affiliation Information Technology Center, Nagoya University
Date 2005/12/14
Paper # NLC2005-69,SP2005-102
Volume (vol) vol.105
Number (no) 493
Page pp.pp.-
#Pages 5
Date of Issue