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Reducing repetition in convolutional abstractive summarization.

, , , and . Nat. Lang. Eng., 29 (1): 81-109 (January 2023)

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Reference-free Summarization Evaluation via Semantic Correlation and Compression Ratio., , and . NAACL-HLT, page 2109-2115. Association for Computational Linguistics, (2022)Post-Training Dialogue Summarization using Pseudo-Paraphrasing., , , and . NAACL-HLT (Findings), page 1660-1669. Association for Computational Linguistics, (2022)Keyword-aware Abstractive Summarization by Extracting Set-level Intermediate Summaries., , and . WWW, page 3042-3054. ACM / IW3C2, (2021)Opinion Summarization by Weak-Supervision from Mix-structured Data., , and . EMNLP, page 3086-3096. Association for Computational Linguistics, (2022)Reducing repetition in convolutional abstractive summarization., , , and . Nat. Lang. Eng., 29 (1): 81-109 (January 2023)Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation., , , and . CoRR, (2024)Controlling Length in Abstractive Summarization Using a Convolutional Neural Network., , and . EMNLP, page 4110-4119. Association for Computational Linguistics, (2018)In-sample Curriculum Learning by Sequence Completion for Natural Language Generation., , , and . ACL (1), page 11937-11950. Association for Computational Linguistics, (2023)Length Control in Abstractive Summarization by Pretraining Information Selection., , and . ACL (1), page 6885-6895. Association for Computational Linguistics, (2022)Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model., , , and . EMNLP, page 11017-11031. Association for Computational Linguistics, (2023)