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home / docs / papers / cited-by / Who cites «MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text» · page 2

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

Pages: 1 · 2 · 3

  1. Careful Selection of Knowledge to Solve Open Book Question Answering — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  2. 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)
  3. Dialog State Tracking: A Neural Reading Comprehension Approach — 2019 · Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue
  4. 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)
  5. Domain-agnostic Question-Answering with Adversarial Training — 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 — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  7. Evidence Sentence Extraction for Machine Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  8. FriendsQA: Open-Domain Question Answering on TV Show Transcripts — 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 — 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 — 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 — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  12. Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension — 2019 · arXiv:1904.09679
  13. JEC-QA: A Legal-Domain Question Answering Dataset — 2019 · arXiv:1911.12011
  14. MLQA: Evaluating Cross-lingual Extractive Question Answering — 2019 · arXiv:1910.07475
  15. Measuring text readability with machine comprehension: a pilot study — 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 — 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 — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  18. Natural Questions: A Benchmark for Question Answering Research — 2019
  19. Neural Arabic Question Answering — 2019 · Proceedings of the Fourth Arabic Natural Language Processing Workshop
  20. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  21. 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)
  22. Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning — our card · 2019 · arXiv:1908.05803
  23. Reasoning Over Paragraph Effects in Situations — 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 — 2019 · arXiv:1904.01172
  25. TWEETQA: A Social Media Focused Question Answering Dataset — 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 — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  27. Tracking Discrete and Continuous Entity State for Process Understanding — 2019 · Proceedings of the Third Workshop on Structured Prediction for NLP
  28. 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)
  29. 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)
  30. 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)
  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) — 2019 · Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)
  32. 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)
  33. A Nil-Aware Answer Extraction Framework for Question Answering — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  34. A Span-Extraction Dataset for Chinese Machine Reading Comprehension — 2018 · arXiv:1810.07366 · EMNLP 2019 5886-5891
  35. A Survey on Open Information Extraction — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  36. A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset — 2018 · Proceedings of the Workshop on Machine Reading for Question Answering
  37. Automatic Article Commenting: the Task and Dataset — 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 — 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 — 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 — 2018 · arXiv:1801.10314
  41. 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 — 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 — 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 — 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 — 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 — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  47. Linguistically-Based Deep Unstructured Question Answering — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  48. Listening Comprehension over Argumentative Content — 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 — 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 — 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 — 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 — 2018 · arXiv:1809.08267
  53. Reading Comprehension with Graph-based Temporal-Casual Reasoning — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  54. Reinforced Extractive Summarization with Question-Focused Rewards — 2018 · Proceedings of ACL 2018, Student Research Workshop
  55. 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)
  56. SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  57. SemEval-2018 Task 5: Counting Events and Participants in the Long Tail — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  58. Stochastic Answer Networks for Machine Reading Comprehension — 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 — 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 — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  61. The NarrativeQA Reading Comprehension Challenge — our card · 2018
  62. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge — 2018 · arXiv:1803.05457
  63. Towards Inference-Oriented Reading Comprehension: ParallelQA — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
  64. Transforming Question Answering Datasets Into Natural Language Inference Datasets — 2018 · arXiv:1809.02922
  65. What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  66. Whodunnit? Crime Drama as a Case for Natural Language Understanding — 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 — 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation
  68. emrQA: A Large Corpus for Question Answering on Electronic Medical Records — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  69. A Constituent-Centric Neural Architecture for Reading Comprehension — 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 — 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
  71. Broad Context Language Modeling as Reading Comprehension — 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 — 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 — 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 — 2017 · arXiv:1711.05073
  75. Emergent Predication Structure in Hidden State Vectors of Neural Readers — 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP
  76. Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability — 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 — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  78. Gated End-to-End Memory Networks — 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 — 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 — 2017 · arXiv:1705.00106
  81. Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks — 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 — 2017 · arXiv:1703.04816
  83. Modelling Protagonist Goals and Desires in First-Person Narrative — 2017 · Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue
  84. RACE: Large-scale ReAding Comprehension Dataset From Examinations — our card · 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  85. Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension — 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
  86. Semi-Supervised QA with Generative Domain-Adaptive Nets — 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 — 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? — 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 — 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 — 2016 · arXiv:1603.07396
  91. A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data — 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 — 2016 · arXiv:1606.02858
  93. An Analysis of Prerequisite Skills for Reading Comprehension — 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 — 2016 · Proceedings of the Workshop on Human-Computer Question Answering
  95. Bidirectional Attention Flow for Machine Comprehension — 2016 · arXiv:1611.01603
  96. Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows — 2016 · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue
  97. Dynamic Coattention Networks For Question Answering — 2016 · arXiv:1611.01604
  98. Dynamic Entity Representation with Max-pooling Improves Machine Reading — 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 — 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 — 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP

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