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# Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 2

263 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/missing-2013-richardson-mctest-challenge-dataset-open-domain/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/missing-2013-richardson-mctest-challenge-dataset-open-domain-3/)

1. [Careful Selection of Knowledge to Solve Open Book Question Answering](https://aclanthology.org/P19-1615/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
2. [Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://md.mova.elamur.ai/free/en/docs/papers/huang-2019-cosmos-qa-machine-reading-comprehension/) *— 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)*
3. [Dialog State Tracking: A Neural Reading Comprehension Approach](https://aclanthology.org/W19-5932/) *— 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue*
4. [Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension](https://aclanthology.org/D19-1257/) *— 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)*
5. [Domain-agnostic Question-Answering with Adversarial Training](https://aclanthology.org/D19-5826/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
6. [Episodic Memory Reader: Learning What to Remember for Question Answering from Streaming Data](https://aclanthology.org/P19-1434/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
7. [Evidence Sentence Extraction for Machine Reading Comprehension](https://aclanthology.org/K19-1065/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
8. [FriendsQA: Open-Domain Question Answering on TV Show Transcripts](https://aclanthology.org/W19-5923/) *— 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue*
9. [Improving Human Text Comprehension through Semi-Markov CRF-based Neural Section Title Generation](https://aclanthology.org/N19-1168/) *— 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)*
10. [Improving Machine Reading Comprehension with General Reading Strategies](https://aclanthology.org/N19-1270/) *— 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)*
11. [Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior](https://aclanthology.org/D19-5807/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
12. [Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension](https://arxiv.org/abs/1904.09679) *— 2019 · arXiv:1904.09679*
13. [JEC-QA: A Legal-Domain Question Answering Dataset](https://arxiv.org/abs/1911.12011) *— 2019 · arXiv:1911.12011*
14. [MLQA: Evaluating Cross-lingual Extractive Question Answering](https://arxiv.org/abs/1910.07475) *— 2019 · arXiv:1910.07475*
15. [Measuring text readability with machine comprehension: a pilot study](https://aclanthology.org/W19-4443/) *— 2019 · Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications*
16. [Multi-hop Reading Comprehension through Question Decomposition and Rescoring](https://aclanthology.org/P19-1613/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
17. [MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension](https://aclanthology.org/P19-1485/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
18. [Natural Questions: A Benchmark for Question Answering Research](https://aclanthology.org/Q19-1026/) *— 2019*
19. [Neural Arabic Question Answering](https://aclanthology.org/W19-4612/) *— 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop*
20. [On Making Reading Comprehension More Comprehensive](https://aclanthology.org/D19-5815/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
21. [Question Answering for Privacy Policies: Combining Computational and Legal Perspectives](https://aclanthology.org/D19-1500/) *— 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)*
22. [Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning](https://md.mova.elamur.ai/free/en/docs/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/) *— our card · 2019 · arXiv:1908.05803*
23. [Reasoning Over Paragraph Effects in Situations](https://aclanthology.org/D19-5808/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
24. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
25. [TWEETQA: A Social Media Focused Question Answering Dataset](https://aclanthology.org/P19-1496/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
26. [Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension](https://aclanthology.org/P19-1347/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
27. [Tracking Discrete and Continuous Entity State for Process Understanding](https://aclanthology.org/W19-1502/) *— 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP*
28. [Understanding Dataset Design Choices for Multi-hop Reasoning](https://aclanthology.org/N19-1405/) *— 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)*
29. [Using Natural Language Relations between Answer Choices for Machine Comprehension](https://aclanthology.org/N19-1403/) *— 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)*
30. [What''s Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering](https://aclanthology.org/D19-1281/) *— 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)*
31. [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)](https://aclanthology.org/2019.rocling-1.7/) *— 2019 · Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)*
32. [A Co-Matching Model for Multi-choice Reading Comprehension](https://aclanthology.org/P18-2118/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
33. [A Nil-Aware Answer Extraction Framework for Question Answering](https://aclanthology.org/D18-1456/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
34. [A Span-Extraction Dataset for Chinese Machine Reading Comprehension](https://arxiv.org/abs/1810.07366) *— 2018 · arXiv:1810.07366 · EMNLP 2019 5886-5891*
35. [A Survey on Open Information Extraction](https://aclanthology.org/C18-1326/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
36. [A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset](https://aclanthology.org/W18-2607/) *— 2018 · Proceedings of the Workshop on Machine Reading for Question Answering*
37. [Automatic Article Commenting: the Task and Dataset](https://aclanthology.org/P18-2025/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
38. [Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering](https://aclanthology.org/D18-1260/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
39. [CliCR: a Dataset of Clinical Case Reports for Machine Reading Comprehension](https://aclanthology.org/N18-1140/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
40. [Complex Sequential Question Answering: Towards Learning to Converse Over Linked Question Answer Pairs with a Knowledge Graph](https://arxiv.org/abs/1801.10314) *— 2018 · arXiv:1801.10314*
41. [Crowdsourcing Question-Answer Meaning Representations](https://md.mova.elamur.ai/free/en/docs/papers/michael-2018-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)*
42. [DuoRC: Towards Complex Language Understanding with Paraphrased Reading Comprehension](https://aclanthology.org/P18-1156/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Efficient and Robust Question Answering from Minimal Context over Documents](https://aclanthology.org/P18-1160/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks](https://md.mova.elamur.ai/free/en/docs/papers/kaushik-2018-how-much-reading-does-reading/) *— our card · 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
45. [Know What You Don''t Know: Unanswerable Questions for SQuAD](https://aclanthology.org/P18-2124/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
46. [Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge](https://aclanthology.org/P18-1076/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [Linguistically-Based Deep Unstructured Question Answering](https://aclanthology.org/K18-1042/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
48. [Listening Comprehension over Argumentative Content](https://aclanthology.org/D18-1078/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
49. [Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences](https://md.mova.elamur.ai/free/en/docs/papers/khashabi-2018-looking-beyond-surface-challenge-set/) *— 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)*
50. [MCScript: A Novel Dataset for Assessing Machine Comprehension Using Script Knowledge](https://aclanthology.org/L18-1564/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
51. [Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds](https://md.mova.elamur.ai/free/en/docs/papers/labutov-2018-multi-relational-question-answering-narratives/) *— our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Neural Approaches to Conversational AI](https://arxiv.org/abs/1809.08267) *— 2018 · arXiv:1809.08267*
53. [Reading Comprehension with Graph-based Temporal-Casual Reasoning](https://aclanthology.org/C18-1069/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
54. [Reinforced Extractive Summarization with Question-Focused Rewards](https://aclanthology.org/P18-3015/) *— 2018 · Proceedings of ACL 2018, Student Research Workshop*
55. [Self-Training for Jointly Learning to Ask and Answer Questions](https://aclanthology.org/N18-1058/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
56. [SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
57. [SemEval-2018 Task 5: Counting Events and Participants in the Long Tail](https://aclanthology.org/S18-1009/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
58. [Stochastic Answer Networks for Machine Reading Comprehension](https://aclanthology.org/P18-1157/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
59. [Supervised and Unsupervised Transfer Learning for Question Answering](https://aclanthology.org/N18-1143/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
60. [TVQA: Localized, Compositional Video Question Answering](https://aclanthology.org/D18-1167/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
61. [The NarrativeQA Reading Comprehension Challenge](https://md.mova.elamur.ai/free/en/docs/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) *— our card · 2018*
62. [Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457) *— 2018 · arXiv:1803.05457*
63. [Towards Inference-Oriented Reading Comprehension: ParallelQA](https://aclanthology.org/W18-1001/) *— 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning*
64. [Transforming Question Answering Datasets Into Natural Language Inference Datasets](https://arxiv.org/abs/1809.02922) *— 2018 · arXiv:1809.02922*
65. [What Makes Reading Comprehension Questions Easier?](https://aclanthology.org/D18-1453/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
66. [Whodunnit? Crime Drama as a Case for Natural Language Understanding](https://aclanthology.org/Q18-1001/) *— 2018 · Transactions of the Association for Computational Linguistics*
67. [Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension](https://aclanthology.org/S18-1120/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
68. [emrQA: A Large Corpus for Question Answering on Electronic Medical Records](https://aclanthology.org/D18-1258/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
69. [A Constituent-Centric Neural Architecture for Reading Comprehension](https://aclanthology.org/P17-1129/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks](https://aclanthology.org/I17-1096/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
71. [Broad Context Language Modeling as Reading Comprehension](https://aclanthology.org/E17-2009/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
72. [Coarse-to-Fine Question Answering for Long Documents](https://aclanthology.org/P17-1020/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
73. [Dialog state tracking, a machine reading approach using Memory Network](https://aclanthology.org/E17-1029/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
74. [DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications](https://arxiv.org/abs/1711.05073) *— 2017 · arXiv:1711.05073*
75. [Emergent Predication Structure in Hidden State Vectors of Neural Readers](https://aclanthology.org/W17-2604/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
76. [Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability](https://aclanthology.org/P17-1075/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems](https://aclanthology.org/D17-1081/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
78. [Gated End-to-End Memory Networks](https://aclanthology.org/E17-1001/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
79. [Gated Self-Matching Networks for Reading Comprehension and Question Answering](https://aclanthology.org/P17-1018/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106) *— 2017 · arXiv:1705.00106*
81. [Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks](https://aclanthology.org/S17-1029/) *— 2017 · Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)*
82. [Making Neural QA as Simple as Possible but not Simpler](https://arxiv.org/abs/1703.04816) *— 2017 · arXiv:1703.04816*
83. [Modelling Protagonist Goals and Desires in First-Person Narrative](https://aclanthology.org/W17-5543/) *— 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue*
84. [RACE: Large-scale ReAding Comprehension Dataset From Examinations](https://md.mova.elamur.ai/free/en/docs/papers/lai-2017-race-large-scale-reading-comprehension/) *— our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
85. [Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension](https://aclanthology.org/D17-1216/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
86. [Semi-Supervised QA with Generative Domain-Adaptive Nets](https://aclanthology.org/P17-1096/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
87. [TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension](https://aclanthology.org/P17-1147/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?](https://aclanthology.org/E17-1011/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
89. [A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories](https://aclanthology.org/N16-1098/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
90. [A Diagram Is Worth A Dozen Images](https://arxiv.org/abs/1603.07396) *— 2016 · arXiv:1603.07396*
91. [A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data](https://aclanthology.org/P16-1041/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://arxiv.org/abs/1606.02858) *— 2016 · arXiv:1606.02858*
93. [An Analysis of Prerequisite Skills for Reading Comprehension](https://aclanthology.org/W16-6001/) *— 2016 · Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods*
94. [Attention-Based Convolutional Neural Network for Machine Comprehension](https://aclanthology.org/W16-0103/) *— 2016 · Proceedings of the Workshop on Human-Computer Question Answering*
95. [Bidirectional Attention Flow for Machine Comprehension](https://arxiv.org/abs/1611.01603) *— 2016 · arXiv:1611.01603*
96. [Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows](https://aclanthology.org/W16-3612/) *— 2016 · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
97. [Dynamic Coattention Networks For Question Answering](https://arxiv.org/abs/1611.01604) *— 2016 · arXiv:1611.01604*
98. [Dynamic Entity Representation with Max-pooling Improves Machine Reading](https://aclanthology.org/N16-1099/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
99. [Easy Questions First? A Case Study on Curriculum Learning for Question Answering](https://aclanthology.org/P16-1043/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Joint Learning of Sentence Embeddings for Relevance and Entailment](https://aclanthology.org/W16-1602/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*

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