Presentation 2000/3/16
Effectiveness of Spoken Dialogue System using Inductive Learning with Genetic Algorithm
Yasutomo Kimura, Kenji Araki, Yoshio Momouchi, Koji Tochinai,
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Abstract(in English) In this paper, we describe a learning method to perform the response from actual dialogue examples. Our ordinary dialogue has spontaneous dialogue that relates to enjoyment of the topics and the dialogue process. The learning method using templates is very difficult to apply to a chat, which includes many varieties of the topics. To resolve this problem, we propose a method of Spoken Dialogue using Inductive Learning with Genetic Algorithm. Our proposed method generates a suitable response using crossover, mutation, selection, and inductive learning. The total of a correct response rate and a similar correct response rate increased from 66.3% to 76.1% using our proposed method. Therefore, we confirmed that our method is an effective method for a chat.
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Keyword(in English) natural language processing / learning / inductive learning / dialogue processing / genetic algorithm
Paper # TL99-42
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Conference Date 2000/3/16(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Effectiveness of Spoken Dialogue System using Inductive Learning with Genetic Algorithm
Sub Title (in English)
Keyword(1) natural language processing
Keyword(2) learning
Keyword(3) inductive learning
Keyword(4) dialogue processing
Keyword(5) genetic algorithm
1st Author's Name Yasutomo Kimura
1st Author's Affiliation Graduate School of Engineering, Hokkai-Gakuen University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Yoshio Momouchi
3rd Author's Affiliation Graduate School of Engineering, Hokkai-Gakuen University
4th Author's Name Koji Tochinai
4th Author's Affiliation Graduate School of Engineering, Hokkaido University
Date 2000/3/16
Paper # TL99-42
Volume (vol) vol.99
Number (no) 691
Page pp.pp.-
#Pages 8
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