Topic Segmentation for Interview Dialogue System-Reference-Cited by-同舟云学术

Topic Segmentation for Interview Dialogue System

Published:2021-12-17 Issue: Volume: Page:
ISSN:
Container-title:2021 5th International Conference on Natural Language Processing and Information Retrieval (NLPIR)
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Author:

Kirihara Taiga¹,Matsumoto Kazuyuki²,Sasayama Manabu³,Yoshida Minoru²,Kita Kenji²

Affiliation:

1. Graduate Schools of Science and Technology for Innovation Division of Science and Technology, Tokushima University, Japan

2. Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Japan

3. Department of Information, National Institute of Technology, Kagawa College, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3508230.3508237

Reference22 articles.

1. Yuichi Miyamura and Takenobu Tokunaga . Real-time Topic Segmentation of information seeking chat . IPSJ2008. 2008 -NL-187, pp. 71 - 76 . 2008 . Yuichi Miyamura and Takenobu Tokunaga. Real-time Topic Segmentation of information seeking chat. IPSJ2008. 2008-NL-187, pp.71-76. 2008.

2. Ken Tomiyama , Fumio Nihei , Yutaka Takase and Yukiko Nakano . Identifying Discourse Boundaries in Group Discussions using Multimodal Features . In Proceedings of The 33rd JSAI2019. 4F3-OS-11b-02 . 2019 Ken Tomiyama, Fumio Nihei, Yutaka Takase and Yukiko Nakano. Identifying Discourse Boundaries in Group Discussions using Multimodal Features. In Proceedings of The 33rd JSAI2019. 4F3-OS-11b-02. 2019

3. Naomi Tanaka. Classification of discourse signs for starting a topic from the perspective of discourse understanding. Japanese Language Education No. 170. Naomi Tanaka. Classification of discourse signs for starting a topic from the perspective of discourse understanding. Japanese Language Education No. 170.

4. Providing Topic Candidates Based on Picking Up Terms and Retrieving Topics;Kimura Yuri;IPSJ Interaction,2017