Presentation 2007/9/28
Comparison of non-task-oriented dialogue systems by HMM
Naoki ISOMURA, Fujio TORIUMI, Kenichiro ISHII,
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Abstract(in English) Recently, computerized dialogue systems are researched and used in various fields. In order to realize a practical system, the performance should be evaluated quantitatively. The objective and quantitative evaluation method for dialogue systems for reservation services has already been established, non-task-oriented dialogue systems, however, have been evaluated only by subjective method, like a questionnaire. In this paper, we propose a new criterion which can evaluate non-task-oriented dialogue systems objectively and quantitatively. We assume a human-human dialogue is an ideal dialogue. We build a HMM by learning a sequence of human-human dialogue utterance tag which is automatically assigned. We apply 2-gram for auto-tagging and evaluate naturality of a dialogue using HMM. In this simulation, a correct rate applying auto-tagging is 71%. If we relax semantic conditions, a correct rate is 87%. It was clarified that a HMM method can evaluate the naturality of dialogue systems.
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Keyword(in English) Dialogue System / HMM / Evaluation Method / DAMSL Tag / non-task-oriented
Paper # NLC2007-29
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Conference Information
Committee NLC
Conference Date 2007/9/28(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison of non-task-oriented dialogue systems by HMM
Sub Title (in English)
Keyword(1) Dialogue System
Keyword(2) HMM
Keyword(3) Evaluation Method
Keyword(4) DAMSL Tag
Keyword(5) non-task-oriented
1st Author's Name Naoki ISOMURA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Fujio TORIUMI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Kenichiro ISHII
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2007/9/28
Paper # NLC2007-29
Volume (vol) vol.107
Number (no) 246
Page pp.pp.-
#Pages 6
Date of Issue