V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》阅读理解笔记

时间 2021-01-02

标签 MRC 繁體版

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V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》这篇文章是发表在2018年ACL上的，是抽取式的。在微软发布的MS MARCO数据集和百度发布的中文数据集DuReader上得到了SOTA效果。分以下四部分介绍： Motivation Model Experimen

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1. 论文笔记--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
2. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 论文阅读笔记
3. 论文笔记--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
4. 论文阅读|Cross-Lingual Machine Reading Comprehension
5. Match-LSTM阅读理解论文笔记Machine Comprehension Using Match-LSTM and Answer Pointer
6. 【论文笔记】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
7. 阅读理解BI-DAF《BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION》笔记
8. 机器阅读理解（machine comprehension）
9. 《MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension》阅读理解
10. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记
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1. 论文笔记--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
2. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 论文阅读笔记
3. 论文笔记--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
4. 论文阅读|Cross-Lingual Machine Reading Comprehension
5. Match-LSTM阅读理解论文笔记Machine Comprehension Using Match-LSTM and Answer Pointer
6. 【论文笔记】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
7. 阅读理解BI-DAF《BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION》笔记
8. 机器阅读理解（machine comprehension）
9. 《MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension》阅读理解
10. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 论文阅读笔记

>>更多相关文章<<