持续更新 EMNLP2020 Summarization - 知乎

10/10 09:45
阅读数 333

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  • Learning to Fuse Sentences with Transformers for Summarization.Logan Lebanoff,
  • Factual Error Correction for Abstractive Summarization Models. Meng Cao, Yue Dong, Jiapeng Wu and Jackie Chi Kit Cheung.
  • Franck Dernoncourt, Doo Soon Kim, Lidan Wang, Walter Chang and Fei Liu.
  • Modeling Content Importance for Summarization with Pre-trained Language Models. Liqiang Xiao, Lu Wang, Hao He and Yaohui Jin.
  • Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. Yao Lu, Yue Dong and Laurent Charlin.
  • Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. Bowen Tan, Lianhui Qin, Eric Xing and Zhiting Hu.
  • Understanding Neural Abstractive Summarization Models via Uncertainty. Jiacheng Xu, Shrey Desai and Greg Durrett.

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