V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》閱讀理解筆記
V-Net 《Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification》 這篇文章是發表在2018年ACL上的，是抽取式的。在微軟發佈的MS MARCO數據集和百度發佈的中文數據集DuReader上得到了SOTA效果。 分以下四部分介紹： Motivation Model Experimen
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- 2. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 論文閱讀筆記
- 3. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 4. 論文閱讀|Cross-Lingual Machine Reading Comprehension
- 5. Match-LSTM閱讀理解論文筆記Machine Comprehension Using Match-LSTM and Answer Pointer
- 6. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 7. 閱讀理解BI-DAF《BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION》筆記
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- 9. 《MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension》閱讀理解
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相關文章
- 1. 論文筆記--Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification (V-Net)
- 2. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 論文閱讀筆記
- 3. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 4. 論文閱讀|Cross-Lingual Machine Reading Comprehension
- 5. Match-LSTM閱讀理解論文筆記Machine Comprehension Using Match-LSTM and Answer Pointer
- 6. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 7. 閱讀理解BI-DAF《BI-DIRECTIONAL ATTENTION FLOW FOR MACHINE COMPREHENSION》筆記
- 8. 機器閱讀理解（machine comprehension）
- 9. 《MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension》閱讀理解
- 10. Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension 論文閱讀筆記