NEURAL QUESTION REQUIREMENT INSPECTOR FOR ANSWERABILITY PREDICTION IN MACHINE READING COMPREHENSION
《NEURQURI: NEURAL QUESTION REQUIREMENT INSPECTOR FOR ANSWERABILITY PREDICTION IN MACHINE READING COMPREHENSION》 這篇文章是Samsung research and South Korea發表在2020 ICLR上的。主要是針對機器閱讀理解當中的不可回答問題，提出了一個自己的模塊和一種新的
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相關文章
- 1. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends
- 2. Alibaba AI Model Tops Humans in Reading Comprehension
- 3. 閱讀《Learning to Ask: Neural Question Generation for Reading Comprehension 》
- 4. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 5. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
- 6. 論文閱讀|Cross-Lingual Machine Reading Comprehension
- 7. 【論文筆記03】ReasoNet: Learning to Stop Reading in Machine Comprehension
- 8. Paper reading (三十五)：Neural-symbolic machine learning for retrosynthesis and reaction prediction
- 9. #Paper Reading# DeepFM: a factorization-machine based neural network for CTR prediction
- 10. 論文筆記--From Answer Extraction to Answer Generation for Machine Reading Comprehension (S-Net)