Presentation 2021-12-13
Development of an Information Presentation Mechanism Based on Clause Structure for the Discussion Support System AIR-VAS
Kazuki Ito, Mamoru Yoshizoe, Hiromitsu Hattori,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The discussion support system, AIR-VAS, features a mechanism to stimulate discussion by exchanging information among multiple discussions in progress, thereby providing new perspectives and insights. In order to improve the effectiveness of this mechanism, it is necessary to improve the extraction and presentation of information that stimulates discussion. In this paper, we attempt to realize a function to generate sentences with less sense of discomfort by handling argumentative utterances by clause using a clause analyzer, and to integrate it into the system.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Agent / Morphological analysis / Dependency structure analysis / GiNZA / Discussion support
Paper # AI2021-7
Date of Issue 2021-12-06 (AI)

Conference Information
Committee AI
Conference Date 2021/12/13(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Aimattain Hakata station
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuichi Sei(Univ. of Electro-Comm.)
Vice Chair Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.)
Assistant Kazutaka Matsuzaki(Chuo Univ.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of an Information Presentation Mechanism Based on Clause Structure for the Discussion Support System AIR-VAS
Sub Title (in English)
Keyword(1) Agent
Keyword(2) Morphological analysis
Keyword(3) Dependency structure analysis
Keyword(4) GiNZA
Keyword(5) Discussion support
1st Author's Name Kazuki Ito
1st Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
2nd Author's Name Mamoru Yoshizoe
2nd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
3rd Author's Name Hiromitsu Hattori
3rd Author's Affiliation Ritsumeikan University(Ritsumeikan Univ.)
Date 2021-12-13
Paper # AI2021-7
Volume (vol) vol.121
Number (no) AI-298
Page pp.pp.35-39(AI),
#Pages 5
Date of Issue 2021-12-06 (AI)