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Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches, and Future Directions.

, , , and . ACM Comput. Surv., 56 (3): 67:1-67:38 (March 2024)

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In-sample Curriculum Learning by Sequence Completion for Natural Language Generation., , , and . CoRR, (2022)Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries., , and . WWW, page 3042-3054. ACM / IW3C2, (2021)Post-Training Dialogue Summarization using Pseudo-Paraphrasing., , , and . NAACL-HLT (Findings), page 1660-1669. Association for Computational Linguistics, (2022)Opinion Summarization by Weak-Supervision from Mix-structured Data., , and . EMNLP, page 3086-3096. Association for Computational Linguistics, (2022)Intercomparison on Four Irrigated Cropland Maps in Mainland China., , , , , and . Sensors, 18 (4): 1197 (2018)Taxonomy of Abstractive Dialogue Summarization: Scenarios, Approaches and Future Directions., , , and . CoRR, (2022)Controlling Length in Abstractive Summarization Using a Convolutional Neural Network., , and . EMNLP, page 4110-4119. Association for Computational Linguistics, (2018)Multi-turn Response Selection using Dialogue Dependency Relations., , , , and . EMNLP (1), page 1911-1920. Association for Computational Linguistics, (2020)Length Control in Abstractive Summarization by Pretraining Information Selection., , and . ACL (1), page 6885-6895. Association for Computational Linguistics, (2022)In-sample Curriculum Learning by Sequence Completion for Natural Language Generation., , , and . ACL (1), page 11937-11950. Association for Computational Linguistics, (2023)