Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 論文閱讀筆記
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 原文鏈接：http://cn.arxiv.org/pdf/1805.06145 本文是百度發表於 ACL 2018 的工作，論文利用強化學習的方法對串行的多文檔閱讀理解模塊進行聯合訓練。作者提出了一種新的答案選擇
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相關文章
- 1. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 2. End-to-End Answer Chunk Extraction and Ranking for Reading Comprehension
- 3. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 4. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends
- 5. 1604.Joint Detection and Identification Feature Learning for Person Search論文閱讀筆記
- 6. 【論文閱讀筆記】Span-based Joint Entity and Relation Extraction with Transformer Pre-training
- 7. 【論文筆記】BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis（2019）
- 8. 論文閱讀筆記－CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases
- 9. Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension閱讀筆記
- 10. 論文筆記7：Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale