論文閱讀——Gated-Attention Readers for Machine Reading Comprehension
Inroduction 本文是ACL 2017的一篇文章，用更細粒度的gated-attention對背景文章和問題進行計算。作者是CMU的Graduate Research Assistant: Bhuwan Dhingra。文章的相關工作部分總結的很好，代碼實現可以參考[GitHub]。 Background 本文針對的是MRC任務中的Cloze-Style類型，翻譯過來是叫完形填空，但是與英
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相關文章
- 1. 論文閱讀|Cross-Lingual Machine Reading Comprehension
- 2. 論文《Adversarial Reading Networks For Machine Comprehension》
- 3. Read + Verify: Machine Reading Comprehension with Unanswerable Questions 論文閱讀筆記
- 4. 論文筆記《Gated-Attention Readers for Text Comprehension》
- 5. Gated-Attention Readers for Text Comprehension
- 6. Gated Self-Matching Networks for Reading Comprehension and Question Answering論文閱讀筆記
- 7. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 8. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）
- 9. 論文分享 - Reinforced Mnemonic Reader for Machine Comprehension
- 10. 閱讀論文《Difficulty Controllable Generation of Reading Comprehension Questions》