Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond
机器阅读理解（MRC）旨在教机器阅读和理解人类语言，这是自然语言处理（NLP）的长期目标。随着深度神经网络的爆发和上下文语言模型（contextualized language models-CLM）的发展，MRC的研究经历了两个重大突破。作为一种现象，MRC和CLM对NLP社区有很大的影响。在本次调查中，我们提供了有关MRC的全面，比较性综述，涵盖了有关以下方面的总体研究主题：1）MRC和CLM
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相关文章
- 1. A Robust Adversarial Training Approach to Machine Reading Comprehension
- 2. 【论文翻译+笔记】Neural Machine Reading Comprehension: Methods and Trends
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- 4. Alibaba AI Model Tops Humans in Reading Comprehension
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- 8. Paper intensive reading (五)：A Review on Role of Microbiome in Obesity and Antiobesity Properties
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- 10. A Thorough Examination of CNN/Daily Mail Reading Comprehension