Presentation 2019-12-05
Predicting Connection between Utterances in Multi-Party Conversation
Takumi Himeno, Kazutaka Shimada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Conversations are often held in laboratories and companies. To grasp the content of a discussion, a summary is important for people who could not attend the conversation. If the summary is illustrated as an argument structure, it will be helpful to follow the points of the conversation immediately. In this paper, we construct a model that predicts connection between utterances in multi-party conversation. First, we explain the features we design for the task. Next, we report the result of an experiment in which we compared a machine learning method using the feature with one without them. The result showed that time information and distance between utterances were effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Multi-Party Conversation / Argument Mining / Argument Structure
Paper # NLC2019-34
Date of Issue 2019-11-27 (NLC)

Conference Information
Committee NLC / IPSJ-NL / SP / IPSJ-SLP
Conference Date 2019/12/4(3days)
Place (in Japanese) (See Japanese page)
Place (in English) NHK Science & Technology Research Labs.
Topics (in Japanese) (See Japanese page)
Topics (in English) The 6th Natural Language Processing Symposium & The 21th Spoken Language Symposium
Chair Takeshi Sakaki(Hottolink) / / Hisashi Kawai(NICT)
Vice Chair Mitsuo Yoshida(Toyohashi Univ. of Tech.) / Kazutaka Shimada(Kyushu Inst. of Tech.) / / Akinobu Ri(Nagoya Inst. of Tech.)
Secretary Mitsuo Yoshida(Ryukoku Univ.) / Kazutaka Shimada(NTT) / / Akinobu Ri(Kyoto Univ.) / (Waseda Univ.)
Assistant Takeshi Kobayakawa(NHK) / Hiroki Sakaji(Univ. of Tokyo) / / Tomoki Koriyama(Univ. of Tokyo) / Yusuke Ijima(NTT)

Paper Information
Registration To Technical Committee on Natural Language Understanding and Models of Communication / Special Interest Group on Natural Language / Technical Committee on Speech / Special Interest Group on Spoken Language Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Predicting Connection between Utterances in Multi-Party Conversation
Sub Title (in English)
Keyword(1) Multi-Party Conversation
Keyword(2) Argument Mining
Keyword(3) Argument Structure
1st Author's Name Takumi Himeno
1st Author's Affiliation Kyushu Institute of Technology(Kyutech)
2nd Author's Name Kazutaka Shimada
2nd Author's Affiliation Kyushu Institute of Technology(Kyutech)
Date 2019-12-05
Paper # NLC2019-34
Volume (vol) vol.119
Number (no) NLC-320
Page pp.pp.81-86(NLC),
#Pages 6
Date of Issue 2019-11-27 (NLC)