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Extractive Summarization Using Multi-Task Learning with Document Classification.

, , , , and . EMNLP, page 2101-2110. Association for Computational Linguistics, (2017)

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Unlearning Reveals the Influential Training Data of Language Models., and . CoRR, (2024)Extractive Summarization Using Multi-Task Learning with Document Classification., , , , and . EMNLP, page 2101-2110. Association for Computational Linguistics, (2017)Unsupervised Joint Learning for Headline Generation and Discourse Structure of Reviews., , and . JSAI, volume 1128 of Advances in Intelligent Systems and Computing, page 139-149. Springer, (2019)Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance., , , and . CoRR, (2021)Tree-Structured Neural Topic Model., , , and . ACL, page 800-806. Association for Computational Linguistics, (2020)Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking., , and . ACL (1), page 2142-2152. Association for Computational Linguistics, (2019)Discovering Interdisciplinarily Spread Knowledge in the Academic Literature., , , and . IEEE Access, (2021)SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation., , , and . ACL (Findings), page 6695-6715. Association for Computational Linguistics, (2023)Differentiable Instruction Optimization for Cross-Task Generalization., , and . ACL (Findings), page 10502-10517. Association for Computational Linguistics, (2023)Dynamic Structured Neural Topic Model with Self-Attention Mechanism., , , , and . ACL (Findings), page 5916-5930. Association for Computational Linguistics, (2023)