A Robust Adversarial Training Approach to Machine Reading Comprehension
A Robust Adversarial Training Approach to Machine Reading Comprehension 2020 AAAI 百度，北大，廈大 動機： 同樣是針對robustness，one of the most promising ways is to augment the training dataset Since the types of adve
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相關文章
- 1. 論文《Adversarial Reading Networks For Machine Comprehension》
- 2. 論文筆記（5.12，文本抗擊，sentence）--Robust Machine Comprehension Models via Adversarial Training
- 3. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)
- 4. 論文閱讀——Robust Unsupervised Neural Machine Translation with Adversarial Training
- 5. 【論文筆記03】ReasoNet: Learning to Stop Reading in Machine Comprehension
- 6. 論文閱讀|Cross-Lingual Machine Reading Comprehension
- 7. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends
- 8. A Thorough Examination of CNN/Daily Mail Reading Comprehension
- 9. ReasoNet: Learning to Stop Reading in Machine Comprehension讀書筆記
- 10. 【論文筆記】Improving Machine Reading Comprehension with General Reading Strategies（2019，NAACL）