Multi-turn dialogue comprehension from a topic-aware perspective
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Published:2024-04
Issue:
Volume:578
Page:127385
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ISSN:0925-2312
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Container-title:Neurocomputing
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language:en
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Short-container-title:Neurocomputing
Author:
Ma XinbeiORCID, Xu Yi, Zhao HaiORCID, Zhang ZhuoshengORCID
Reference96 articles.
1. Yi Xu, Hai Zhao, Zhuosheng Zhang, Topic-aware multi-turn dialogue modeling, in: The Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI, 2021. 2. DailyDialog: A manually labelled multi-turn dialogue dataset;Li,2017 3. Chunyuan Yuan, Wei Zhou, Mingming Li, Shangwen Lv, Fuqing Zhu, Jizhong Han, Songlin Hu, Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots, in: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), 2019, pp. 111–120. 4. Advances in multi-turn dialogue comprehension: A survey;Zhang,2021 5. Ryan Lowe, Nissan Pow, Iulian Serban, Joelle Pineau, The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems, in: Proceedings of the 16th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2015, pp. 285–294.
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