| Presentation | 2019-12-05 Predicting Connection between Utterances in Multi-Party Conversation Takumi Himeno, Kazutaka Shimada, |
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| PDF Download Page |  PDF download Page Link |
| 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 |
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| 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 |
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| 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) |