---
title: "Who cites MCTest: A Challenge Dataset for the Open-Domain…"
description: "The papers of the Elamur Research library that cite «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/missing-2013-richardson-mctest-challenge-dataset-open-domain/cited-by/page/2/"
---
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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.research.elamur.ai/free/en/papers/missing-2013-richardson-mctest-challenge-dataset-open-domain/)

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

1. [A Frame-based Sentence Representation for Machine Reading Comprehension](https://aclanthology.org/2020.acl-main.83/) *— 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](https://aclanthology.org/2020.coling-main.457/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
3. [A Vietnamese Dataset for Evaluating Machine Reading Comprehension](https://aclanthology.org/2020.coling-main.233/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
4. [Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension](https://aclanthology.org/2020.tacl-1.43/) *— 2020*
5. [Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access](https://aclanthology.org/2020.sigdial-1.35/) *— 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](https://aclanthology.org/2020.coling-main.235/) *— 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](https://aclanthology.org/2020.lrec-1.852/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
8. [FQuAD: French Question Answering Dataset](https://aclanthology.org/2020.findings-emnlp.107/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
9. [Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension](https://aclanthology.org/2020.coling-main.237/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
10. [LifeQA: A Real-life Dataset for Video Question Answering](https://aclanthology.org/2020.lrec-1.536/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
11. [Linguistic Appropriateness and Pedagogic Usefulness of Reading Comprehension Questions](https://aclanthology.org/2020.lrec-1.217/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
12. [LiveQA: A Question Answering Dataset over Sports Live](https://aclanthology.org/2020.ccl-1.98/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
13. [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://arxiv.org/abs/2007.08124) *— 2020 · arXiv:2007.08124*
14. [MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics](https://aclanthology.org/2020.emnlp-main.528/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
15. [Measuring Massive Multitask Language Understanding](https://arxiv.org/abs/2009.03300) *— 2020 · arXiv:2009.03300*
16. [Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure](https://aclanthology.org/2020.coling-main.238/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
17. [Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering](https://aclanthology.org/2020.acl-main.654/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
18. [NUT-RC: Noisy User-generated Text-oriented Reading Comprehension](https://aclanthology.org/2020.coling-main.242/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
19. [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://arxiv.org/abs/2002.04326) *— 2020 · arXiv:2002.04326*
20. [STARC: Structured Annotations for Reading Comprehension](https://md.research.elamur.ai/free/en/papers/berzak-2020-starc-structured-annotations-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](https://aclanthology.org/2020.emnlp-main.247/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
22. [ScholarlyRead: A New Dataset for Scientific Article Reading Comprehension](https://aclanthology.org/2020.lrec-1.675/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
23. [To Test Machine Comprehension, Start by Defining Comprehension](https://arxiv.org/abs/2005.01525) *— 2020 · arXiv:2005.01525*
24. [UNIFIEDQA: Crossing Format Boundaries with a Single QA System](https://aclanthology.org/2020.findings-emnlp.171/) *— 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](https://aclanthology.org/2020.emnlp-main.660/) *— 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](https://jos.org.cn/jos/article/abstract/6048) *— 2020 · 软件学报 (Journal of Software)*
27. [A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC](https://aclanthology.org/N19-1241/) *— 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](https://aclanthology.org/P19-2014/) *— 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](https://aclanthology.org/D19-1107/) *— 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](https://aclanthology.org/N19-1052/) *— 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](https://arxiv.org/abs/1911.09241) *— 2019 · arXiv:1911.09241*
32. [BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis](https://arxiv.org/abs/1904.02232) *— 2019 · arXiv:1904.02232*
33. [Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian](https://aclanthology.org/R19-1053/) *— 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](https://aclanthology.org/D19-1458/) *— 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](https://aclanthology.org/P19-1615/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
36. [Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning](https://md.research.elamur.ai/free/en/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)*
37. [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*
38. [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)*
39. [Domain-agnostic Question-Answering with Adversarial Training](https://aclanthology.org/D19-5826/) *— 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](https://aclanthology.org/P19-1434/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
41. [Evidence Sentence Extraction for Machine Reading Comprehension](https://aclanthology.org/K19-1065/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
42. [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*
43. [IIT-KGP at COIN 2019: Using pre-trained Language Models for modeling Machine Comprehension](https://aclanthology.org/D19-6009/) *— 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](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)*
45. [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)*
46. [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*
47. [Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension](https://arxiv.org/abs/1904.09679) *— 2019 · arXiv:1904.09679*
48. [JEC-QA: A Legal-Domain Question Answering Dataset](https://arxiv.org/abs/1911.12011) *— 2019 · arXiv:1911.12011*
49. [MLQA: Evaluating Cross-lingual Extractive Question Answering](https://arxiv.org/abs/1910.07475) *— 2019 · arXiv:1910.07475*
50. [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*
51. [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*
52. [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*
53. [Natural Questions: A Benchmark for Question Answering Research](https://aclanthology.org/Q19-1026/) *— 2019*
54. [Neural Arabic Question Answering](https://aclanthology.org/W19-4612/) *— 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop*
55. [On Making Reading Comprehension More Comprehensive](https://aclanthology.org/D19-5815/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
56. [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)*
57. [Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/) *— our card · 2019 · arXiv:1908.05803*
58. [Reasoning Over Paragraph Effects in Situations](https://aclanthology.org/D19-5808/) *— 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](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
60. [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*
61. [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*
62. [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*
63. [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)*
64. [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)*
65. [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)*
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)](https://aclanthology.org/2019.rocling-1.7/) *— 2019 · Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)*
67. [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)*
68. [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*
69. [A Span-Extraction Dataset for Chinese Machine Reading Comprehension](https://arxiv.org/abs/1810.07366) *— 2018 · arXiv:1810.07366 · EMNLP 2019 5886-5891*
70. [A Survey on Open Information Extraction](https://aclanthology.org/C18-1326/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
71. [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*
72. [Adversarial Networks for Machine Reading](https://aclanthology.org/2018.tal-2.4/) *— 2018*
73. [Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension](https://aclanthology.org/C18-1083/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
74. [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)*
75. [CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment](https://aclanthology.org/S18-1176/) *— 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](https://aclanthology.org/D18-1260/) *— 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](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)*
78. [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*
79. [Crowdsourcing Question-Answer Meaning Representations](https://md.research.elamur.ai/free/en/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)*
80. [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)*
81. [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)*
82. [How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks](https://md.research.elamur.ai/free/en/papers/kaushik-2018-how-much-reading-does-reading/) *— 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](https://aclanthology.org/P18-2124/) *— 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](https://aclanthology.org/P18-1076/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
85. [Linguistically-Based Deep Unstructured Question Answering](https://aclanthology.org/K18-1042/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
86. [Listening Comprehension over Argumentative Content](https://aclanthology.org/D18-1078/) *— 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](https://md.research.elamur.ai/free/en/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)*
88. [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)*
89. [Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds](https://md.research.elamur.ai/free/en/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)*
90. [Neural Approaches to Conversational AI](https://arxiv.org/abs/1809.08267) *— 2018 · arXiv:1809.08267*
91. [Reading Comprehension with Graph-based Temporal-Casual Reasoning](https://aclanthology.org/C18-1069/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
92. [Reinforced Extractive Summarization with Question-Focused Rewards](https://aclanthology.org/P18-3015/) *— 2018 · Proceedings of ACL 2018, Student Research Workshop*
93. [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)*
94. [SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
95. [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*
96. [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)*
97. [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)*
98. [TVQA: Localized, Compositional Video Question Answering](https://aclanthology.org/D18-1167/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
99. [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) *— our card · 2018*
100. [Think Visually: Question Answering through Virtual Imagery](https://aclanthology.org/P18-1242/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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