論文閱讀筆記《Ranking Sentences for Extractive Summarization with Reinforcement Learning》
文章目錄 0 摘要 1 介紹 2 通過句子排序進行自動摘要 2.1 句子編碼器(sentence encoder) 2.2 文檔編碼器(document encoder) 2.3 句子抽取器(sentence extractor) 3 交叉熵損失的陷阱 4 使用強化學習進行句子排序 4.1 策略學習(Policy Learning) 4.2 使用高概率樣本進行訓練 5 實驗 5.1 摘要數據集 5
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相關文章
- 1. Self-Supervised Learning for Contextualized Extractive Summarization
- 2. Machine Learning & Deep Learning 論文閱讀筆記
- 3. FeUdal Networks for Hierarchical Reinforcement Learning 閱讀筆記
- 4. 【論文筆記】Heterogeneous Graph Neural Networks for Extractive Document Summarization
- 5. Deep Reinforcement Learning for Dialogue Generation閱讀筆記
- 6. 讀論文2018 ACL A unified model for extractive and abstractive summarization using inconsistency loss
- 7. 論文筆記 Reinforcement Learning with Derivative-Free Exploration
- 8. 論文筆記——NEURAL ARCHITECTURE SEARCH WITH REINFORCEMENT LEARNING
- 9. 論文筆記《Neural Architecture Search With Reinforcement Learning》
- 10. 【論文筆記】NEURAL COMBINATORIAL OPTIMIZATION WITH REINFORCEMENT LEARNING