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UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor

Shangqing Tu, Jifan Yu, Fangwei Zhu, Juanzi Li, Lei Hou 0001, Jian-Yun Nie. UPER: Boosting Multi-Document Summarization with an Unsupervised Prompt-based Extractor. In Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, YoungGyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na, editors, Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022. pages 6315-6326, International Committee on Computational Linguistics, 2022. [doi]

Authors

Shangqing Tu

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Jifan Yu

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Fangwei Zhu

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Juanzi Li

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Lei Hou 0001

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Jian-Yun Nie

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