Alibaba AI Model Tops Humans in Reading Comprehension
Score one for machines in the battle of man versus machine, with an Alibaba deep-learning model this month topping humans for the first time in one of the world’s most-challenging reading comprehensio
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- 1. A Co-Matching Model for Multi-choice Reading Comprehension（译）
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- 3. NEURAL QUESTION REQUIREMENT INSPECTOR FOR ANSWERABILITY PREDICTION IN MACHINE READING COMPREHENSION
- 4. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 5. 【论文笔记03】ReasoNet: Learning to Stop Reading in Machine Comprehension
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- 7. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
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- 9. 阅读《Learning to Ask: Neural Question Generation for Reading Comprehension 》
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相关文章
- 1. A Co-Matching Model for Multi-choice Reading Comprehension（译）
- 2. Simple and Effective Multi-Paragraph Reading Comprehension
- 3. NEURAL QUESTION REQUIREMENT INSPECTOR FOR ANSWERABILITY PREDICTION IN MACHINE READING COMPREHENSION
- 4. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 5. 【论文笔记03】ReasoNet: Learning to Stop Reading in Machine Comprehension
- 6. 论文笔记--Multi-Style Generative Reading Comprehension (Masque)
- 7. Reading Note: Gated Self-Matching Networks for Reading Comprehension and Question Answering
- 8. ReasoNet: Learning to Stop Reading in Machine Comprehension读书笔记
- 9. 阅读《Learning to Ask: Neural Question Generation for Reading Comprehension 》
- 10. A Deep Cascade Model for Multi-Document Reading Comprehension瀑布模型 阅读理解笔记