【論文閱讀ACL2020】Leveraging Graph to Improve Abstractive Multi-Document Summarization
題目：Leveraging Graph to Improve Abstractive Multi-Document Summarization （基於圖表示的生成式多文檔摘要方法 ） 會議：ACL2020 論文地址：https://arxiv.org/abs/2005.10043 其他：出自百度NLP小組工作 這個是百度 NLP 小組在 ACL2020 上面的一篇工作，當前多文檔摘
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相關文章
- 1. [論文閱讀]《A Template-based Abstractive Meeting Summarization》
- 2. 論文閱讀：Keywords-Guided Abstractive Sentence Summarization
- 3. 論文閱讀：Leveraging multimodal information for event summarization and concept-level sentiment analysis
- 4. 【論文】A neural attention model for abstractive sentence summarization 閱讀筆記
- 5. 【論文閱讀】Abstractive Summarization: A Survey of the State of the Art
- 6. 缺陷定位論文閱讀：[Rui Abreu] [IJCAI 2018] Leveraging Qualitative Reasoning to Improve SFL
- 7. 【論文閱讀】Get to the point :summarization with pointer-generator networks
- 8. 閱讀筆記--《Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond》
- 9. 讀論文2018 ACL A unified model for extractive and abstractive summarization using inconsistency loss
- 10. Deep Communicating Agents for Abstractive Summarization論文分享