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Sequence-to-sequence deep neural models fine-tuned for abstractive summarization can achieve great performance on datasets with enough human annotations.
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ROUGE: A package for automatic evaluation of summaries
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Analyzing sentence fusion in abstractive summarization
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Improving zero and few-shot abstractive summarization with intermediate fine-tuning and data augmentation
Alexander Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq Joty, Dragomir Radev, and Yashar Mehdad. 2021 · 2021
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RefSum: Refactoring neural summarization
Yixin Liu, Zi-Yi Dou, and Pengfei Liu. 2021 · 2021
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SimCLS: A simple framework for contrastive learning of abstractive summarization
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SummaReranker: A multi-task mixture-of-experts re-ranking framework for abstractive summarization
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