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263 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. A Frame-based Sentence Representation for Machine Reading Comprehension — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  2. A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  3. A Vietnamese Dataset for Evaluating Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  4. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
  5. Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access — 2020 · Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  6. Bi-directional CognitiveThinking Network for Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  7. Developing Dataset of Japanese Slot Filling Quizzes Designed for Evaluation of Machine Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  8. FQuAD: French Question Answering Dataset — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  9. Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  10. LifeQA: A Real-life Dataset for Video Question Answering — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  11. Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  12. LiveQA: A Question Answering Dataset over Sports Live — 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics
  13. LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning — 2020 · arXiv:2007.08124
  14. MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  15. Measuring Massive Multitask Language Understanding — 2020 · arXiv:2009.03300
  16. Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  17. Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  18. NUT-RC: Noisy User-generated Text-oriented Reading Comprehension — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  19. ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning — 2020 · arXiv:2002.04326
  20. STARC: Structured Annotations for Reading Comprehension — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
  21. Scene Restoring for Narrative Machine Reading Comprehension — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  22. ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  23. To Test Machine Comprehension, Start by Defining Comprehension — 2020 · arXiv:2005.01525
  24. UNIFIEDQA: Crossing Format Boundaries with a Single QA System — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  25. Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  26. 基于神经网络的机器阅读理解综述 — 2020 · 软件学报 (Journal of Software)
  27. A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  28. Active Reading Comprehension: A Dataset for Learning the Question-Answer Relationship Strategy — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop
  29. Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  30. Asking the Right Question: Inferring Advice-Seeking Intentions from Personal Narratives — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  31. Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets — 2019 · arXiv:1911.09241
  32. BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis — 2019 · arXiv:1904.02232
  33. Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian — 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
  34. CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  35. Careful Selection of Knowledge to Solve Open Book Question Answering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  36. Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning — our card · 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  37. Dialog State Tracking: A Neural Reading Comprehension Approach — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  38. Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  39. Domain-agnostic Question-Answering with Adversarial Training — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  40. Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  41. Evidence Sentence Extraction for Machine Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  42. FriendsQA: Open-Domain Question Answering on TV Show Transcripts — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  43. IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension — 2019 · Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing
  44. Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  45. Improving Machine Reading Comprehension with General Reading Strategies — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  46. Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  47. Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension — 2019 · arXiv:1904.09679
  48. JEC-QA: A Legal-Domain Question Answering Dataset — 2019 · arXiv:1911.12011
  49. MLQA: Evaluating Cross-lingual Extractive Question Answering — 2019 · arXiv:1910.07475
  50. Measuring text readability with machine comprehension: a pilot study — 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications
  51. Multi-hop Reading Comprehension through Question Decomposition and Rescoring — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  52. MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  53. Natural Questions: A Benchmark for Question Answering Research — 2019
  54. Neural Arabic Question Answering — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
  55. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  56. Question Answering for Privacy Policies: Combining Computational and Legal Perspectives — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  57. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning — our card · 2019 · arXiv:1908.05803
  58. Reasoning Over Paragraph Effects in Situations — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  59. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  60. TWEETQA: A Social Media Focused Question Answering Dataset — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  61. Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  62. Tracking Discrete and Continuous Entity State for Process Understanding — 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP
  63. Understanding Dataset Design Choices for Multi-hop Reasoning — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  64. Using Natural Language Relations between Answer Choices for Machine Comprehension — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  65. What''s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering — 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
  66. 基於BERT模型之多國語言機器閱讀理解研究(Multilingual Machine Reading Comprehension based on BERT Model) — 2019 · Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)
  67. A Co-Matching Model for Multi-choice Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  68. A Nil-Aware Answer Extraction Framework for Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  69. A Span-Extraction Dataset for Chinese Machine Reading Comprehension — 2018 · arXiv:1810.07366 · EMNLP 2019 5886-5891
  70. A Survey on Open Information Extraction — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  71. A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset — 2018 · Proceedings of the Workshop on Machine Reading for Question Answering
  72. Adversarial Networks for Machine Reading — 2018
  73. Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  74. Automatic Article Commenting: the Task and Dataset — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  75. CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  76. Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  77. CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  78. Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph — 2018 · arXiv:1801.10314
  79. Crowdsourcing Question-Answer Meaning Representations — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  80. DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  81. Efficient and Robust Question Answering from Minimal Context over Documents — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  82. How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks — our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  83. Know What You Don''t Know: Unanswerable Questions for SQuAD — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  84. Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  85. Linguistically-Based Deep Unstructured Question Answering — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  86. Listening Comprehension over Argumentative Content — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  87. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences — our card · 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  88. MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  89. Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  90. Neural Approaches to Conversational AI — 2018 · arXiv:1809.08267
  91. Reading Comprehension with Graph-based Temporal-Casual Reasoning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  92. Reinforced Extractive Summarization with Question-Focused Rewards — 2018 · Proceedings of ACL 2018, Student Research Workshop
  93. Self-Training for Jointly Learning to Ask and Answer Questions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  94. SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  95. SemEval-2018 Task 5: Counting Events and Participants in the Long Tail — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  96. Stochastic Answer Networks for Machine Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  97. Supervised and Unsupervised Transfer Learning for Question Answering — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  98. TVQA: Localized, Compositional Video Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  99. The NarrativeQA Reading Comprehension Challenge — our card · 2018
  100. Think Visually: Question Answering through Virtual Imagery — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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