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Matthew Gardner et al., On Making Reading Comprehension More Comprehensive., aclweb, 2019, paper.
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Xin Zhang et al., Machine Reading Comprehension: a Literature Review, arXiv, 2019, paper.
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Danqi Chen: Neural Reading Comprehension and Beyond. PhD thesis, Stanford University, 2018, paper.
Diana Galvan, Active Reading Comprehension: A dataset for learning the Question-Answer Relationship strategy, ACL 2019, paper.
Divyansh Kaushik and Zachary C. Lipton, How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks, EMNLP 2018, paper.
Saku Sugawara et al., What Makes Reading Comprehension Questions Easier?, EMNLP 2018, paper.
Pramod K. Mudrakarta et al., Did the Model Understand the Question?, ACL 2018, paper.
Robin Jia and Percy Liang, Adversarial Examples for Evaluating Reading Comprehension Systems, EMNLP 2017, paper.
Saku Sugawara et al., Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability, ACL 2017, paper.
Saku Sugawara et al., Prerequisite Skills for Reading Comprehension: Multi-perspective Analysis of MCTest Datasets and Systems, AAAI 2017, paper.
Danqi Chen et al., A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task, ACL 2016, paper.
Minghao Hu, Yuxing Peng, Zhen Huang and Dongsheng Li, A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning, EMNLP 2019, paper.
Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao and Hongning Wang, Adversarial Domain Adaptation for Machine Reading Comprehension, EMNLP 2019, paper.
Yimin Jing, Deyi Xiong and Zhen Yan, BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels, EMNLP 2019, paper.
Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Shijin Wang and Guoping Hu, Cross-Lingual Machine Reading Comprehension, EMNLP 2019, paper.
Todor Mihaylov and Anette Frank, Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension, EMNLP 2019, paper.
Kyungjae Lee, Sunghyun Park, Hojae Han, Jinyoung Yeo, Seung-won Hwang and Juho Lee, Learning with Limited Data for Multilingual Reading Comprehension, EMNLP 2019, paper.
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou and Zhiyuan Liu, NumNet: Machine Reading Comprehension with Numerical Reasoning, EMNLP 2019, paper.
Yiming Cui, Ting Liu, Wanxiang Che, Li Xiao, Zhipeng Chen, Wentao Ma, Shijin Wang and Guoping Hu, A Span-Extraction Dataset for Chinese Machine Reading Comprehension, EMNLP 2019, paper.
Daniel Andor, Luheng He, Kenton Lee and Emily Pitler, Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension, EMNLP 2019, paper.
Tsung-Yuan Hsu, Chi-Liang Liu and Hung-yi Lee, Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model, EMNLP 2019, paper.
Kyosuke Nishida et al., Multi-style Generative Reading Comprehension, ACL 2019, paper.
Alon Talmor and Jonathan Berant, MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension, ACL 2019, paper.
Yi Tay et al., Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives, ACL 2019, paper.
Haichao Zhu et al., Learning to Ask Unanswerable Questions for Machine Reading Comprehension, ACL 2019, paper.
Patrick Lewis et al., Unsupervised Question Answering by Cloze Translation, ACL 2019, paper.
Michael Hahn and Frank Keller, Modeling Human Reading with Neural Attention, EMNLP 2016, paper.
Jianpeng Cheng et al., Long Short-Term Memory-Networks for Machine Reading, EMNLP 2016, paper.