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Papers on Survey Papers about Machine Reading Comprehension.

Contributed by Luxi Xing, Yuqiang Xie and Wei Peng.

Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China.

Update on Nov 7, 2021.

Content

  1. MRC
  2. PLM
  3. NLP with CSK
  4. NLP misc

MRC

  1. Neural Approaches to Conversational AI. 2018. [paper]

    Authors: Jianfeng Gao, Michel Galley, Lihong Li

  2. Neural Machine Reading Comprehension: Methods and Trends. 2019. [paper]

    Authors: Shanshan Liu, Xin Zhang, Sheng Zhang, Hui Wang, Weiming Zhang

  3. Machine Reading Comprehension: a Literature Review. 2019. [paper]

    Authors: Xin Zhang, An Yang, Sujian Li, Yizhong Wang

  4. A Study of the Tasks and Models in Machine Reading Comprehension. 2020. [paper]

    Authors: Chao Wang

  5. A Survey on Machine Reading Comprehension Systems. 2020. [paper]

    Authors: Razieh Baradaran, Razieh Ghiasi, Hossein Amirkhani

  6. Natural Language QA Approaches using Reasoning with External Knowledge. 2020. [paper]

    Authors: Chitta Baral, Pratyay Banerjee, Kuntal Pal, Arindam Mitra

  7. Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond. 2020. [paper]

    Authors: Zhuosheng Zhang, Hai Zhao, Rui Wang

  8. A Survey on Machine Reading Comprehension: Tasks, Evaluation Metrics, and Benchmark Datasets. 2020. [paper]

    Authors: Chengchang Zeng, Shaobo Li, Qin Li, Jie Hu, Jianjun Hu

  9. A Survey on Neural Machine Reading Comprehension. 2020. [paper]

    Authors: Boyu Qiu, Xu Chen, Jungang Xu, Yingfei Sun

  10. Conversational Machine Comprehension: a Literature Review. COLING,2020. [paper]

  11. Advances in Multi-turn Dialogue Comprehension: A Survey. 2021. [paper]

  12. Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. 2021. [paper]

  13. More Than Reading Comprehension: A Survey on Datasets and Metrics of Textual Question Answering. 2021. [paper]

PLM

  1. Pre-trained Models for Natural Language Processing: A Survey. 2020. [paper]

    Authors: Xipeng Qiu, Tianxiang Sun, Yige Xu, Yunfan Shao, Ning Dai, Xuanjing Huang

  2. Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. 2021. [paper]

  3. Knowledge Enhanced Pretrained Language Models: A Comprehensive Survey. 2021. [paper]

NLP with CSK

  1. Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches. 2019. [paper / note]

    Authors: Shane Storks, Qianzi Gao, Joyce Y. Chai

NLP misc

  1. Progress in Neural NLP: Modeling, Learning, and Reasoning. 2020. [paper]

    Authors: Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

  2. A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges. 2020. [paper]

    Authors: Bin Fu, Yunqi Qiu, Chengguang Tang, Yang Li, Haiyang Yu, Jian Sun

  3. Recent Advances and Challenges in Task-oriented Dialog System. 2020. [paper]

    Authors: Zheng Zhang, Ryuichi Takanobu, Qi Zhu, Minlie Huang, Xiaoyan Zhu

  4. Challenges in Building Intelligent Open-domain Dialog Systems. 2019. [paper]

    Authors: Minlie Huang, Xiaoyan Zhu, Jianfeng Gao

  5. Paradigm Shift in Natural Language Processing. 2021. [paper]