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Few-Shot Learning for Opinion Summarization.

, , and . EMNLP (1), page 4119-4135. Association for Computational Linguistics, (2020)

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Learning Opinion Summarizers by Selecting Informative Reviews., , and . EMNLP (1), page 9424-9442. Association for Computational Linguistics, (2021)Beyond Opinion Mining: Summarizing Opinions of Customer Reviews., , , , and . SIGIR, page 3447-3450. ACM, (2022)Few-Shot Learning for Abstractive Multi-Document Opinion Summarization., , and . CoRR, (2020)Unsupervised Opinion Summarization as Copycat-Review Generation., , and . ACL, page 5151-5169. Association for Computational Linguistics, (2020)Small Language Models Improve Giants by Rewriting Their Outputs., , , , , and . EACL (1), page 2703-2718. Association for Computational Linguistics, (2024)Embedding Words as Distributions with a Bayesian Skip-gram Model., , and . COLING, page 1775-1789. Association for Computational Linguistics, (2018)Small Language Models Improve Giants by Rewriting Their Outputs., , , , , and . CoRR, (2023)Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction., , , and . IJCNLP (1), page 455-483. Association for Computational Linguistics, (2023)Efficient Few-Shot Fine-Tuning for Opinion Summarization., , , and . NAACL-HLT (Findings), page 1509-1523. Association for Computational Linguistics, (2022)Few-Shot Learning for Opinion Summarization., , and . EMNLP (1), page 4119-4135. Association for Computational Linguistics, (2020)