Presentation 2019-07-22
Predicting Issue Weights and Detecting Breakdowns in Negotiation Dialogue
Atsuki Yamaguchi, Kosui Iwasa, Katsuhide Fujita,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we tackle on two tasks in the research of negotiation dialogue: 1) estimation of issue weights and detection of negotiation breakdown and 2) discuss some machine learning methods to solve these tasks. In addition, we analyze our developed corpus, which focuses on bilateral multi-issue negotiation and where one of the issues has an interdependency with another issue.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) negotiation dialogue / prediction of issue weights / breakdown detection in negotiation dialogue / natural language processing
Paper # AI2019-9
Date of Issue 2019-07-15 (AI)

Conference Information
Committee AI
Conference Date 2019/7/22(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Naoki Fukuta(Shizuoka Univ.)
Vice Chair Yuichi Sei(Univ. of Electro-Comm.) / Yuko Sakurai(AIST)
Secretary Yuichi Sei(Osaka Univ.) / Yuko Sakurai(Tokyo Univ. of Agriculture and Technology)
Assistant

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) Predicting Issue Weights and Detecting Breakdowns in Negotiation Dialogue
Sub Title (in English)
Keyword(1) negotiation dialogue
Keyword(2) prediction of issue weights
Keyword(3) breakdown detection in negotiation dialogue
Keyword(4) natural language processing
1st Author's Name Atsuki Yamaguchi
1st Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
2nd Author's Name Kosui Iwasa
2nd Author's Affiliation DeNA Co., Ltd.(DeNA)
3rd Author's Name Katsuhide Fujita
3rd Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
Date 2019-07-22
Paper # AI2019-9
Volume (vol) vol.119
Number (no) AI-139
Page pp.pp.45-50(AI),
#Pages 6
Date of Issue 2019-07-15 (AI)