Presentation 2003/10/30
Performance Evaluation by Multi Subjects for Dialogue System by Inductive Learning Using Recursive Chain-link-type Learning(Natural Language Understanding and Models of Communication)
Yoh-ichi NISHIZAWA, Kenji Araki, Hiroshi ECHIZEN-YA, Koji TOCHINAI,
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Abstract(in English) Recently, a question answering system is required in various fields. However an analytical method has difficulty of the rule description and a side effect by the registration of the new rule. Therefore, we tried to resolve these problems by Inductive Learning and Recursive Chain-link-type Learning. However, in our previous system, a correct answer rate was still low. In our new system, rules have the information of the parents rules and are applied in accordance with the information of the parents rules. We did a performance evaluation experiment about this system. A correct answer rate was 79.2%.
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Keyword(in English) Question and answering / Inductive Learning / Recursive Chain-link-type Learning
Paper # NLC2003-27
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Committee NLC
Conference Date 2003/10/30(1days)
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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) Performance Evaluation by Multi Subjects for Dialogue System by Inductive Learning Using Recursive Chain-link-type Learning(Natural Language Understanding and Models of Communication)
Sub Title (in English)
Keyword(1) Question and answering
Keyword(2) Inductive Learning
Keyword(3) Recursive Chain-link-type Learning
1st Author's Name Yoh-ichi NISHIZAWA
1st Author's Affiliation Graduate School of Engineering, Hokkaido University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Graduate School of Engineering, Hokkaido University
3rd Author's Name Hiroshi ECHIZEN-YA
3rd Author's Affiliation Faculty of Engineering, Hokkai-Gakuen University
4th Author's Name Koji TOCHINAI
4th Author's Affiliation Graduate School of Bussiness Administration, Hokkai-Gakuen University
Date 2003/10/30
Paper # NLC2003-27
Volume (vol) vol.103
Number (no) 407
Page pp.pp.-
#Pages 6
Date of Issue