Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization
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Association for Computational Linguistics
Cited by 26 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Extractive Conversation Summarization Driven by Textual Entailment Prediction;2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT);2023-10-18
2. Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches, and Future Directions;ACM Computing Surveys;2023-10-05
3. DiscSumm: A Discourse Based Saliency Model to Generate Abstract Summaries for Conversation;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01
4. Unsupervised Dialogue Topic Segmentation with Topic-aware Contrastive Learning;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
5. WHORU: Improving Abstractive Dialogue Summarization with Personal Pronoun Resolution;Electronics;2023-07-16
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