Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
機器閱讀理解（MRC）旨在教機器閱讀和理解人類語言，這是自然語言處理（NLP）的長期目標。隨着深度神經網絡的爆發和上下文語言模型（contextualized language models-CLM）的發展，MRC的研究經歷了兩個重大突破。作爲一種現象，MRC和CLM對NLP社區有很大的影響。在本次調查中，我們提供了有關MRC的全面，比較性綜述，涵蓋了有關以下方面的總體研究主題：1）MRC和CLM
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相關文章
- 1. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 2. 【論文翻譯+筆記】Neural Machine Reading Comprehension: Methods and Trends
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- 4. Alibaba AI Model Tops Humans in Reading Comprehension
- 5. Simple and Effective Multi-Paragraph Reading Comprehension
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- 8. Paper intensive reading (五)：A Review on Role of Microbiome in Obesity and Antiobesity Properties
- 9. The role of Roles
- 10. A Thorough Examination of CNN/Daily Mail Reading Comprehension