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# Who cites «The NarrativeQA Reading Comprehension Challenge» · page 3

435 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/kocisky-2018-narrativeqa-reading-comprehension-challenge/)

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1. [TRUE: Re-evaluating Factual Consistency Evaluation](https://aclanthology.org/2022.naacl-main.287/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
2. [TVShowGuess: Character Comprehension in Stories as Speaker Guessing](https://aclanthology.org/2022.naacl-main.317/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
3. [TopiOCQA: Open-domain Conversational Question Answering with Topic Switching](https://aclanthology.org/2022.tacl-1.27/) *— 2022 · Transactions of the Association for Computational Linguistics*
4. [Tracing Origins: Coreference-aware Machine Reading Comprehension](https://aclanthology.org/2022.acl-long.91/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [UL2: Unifying Language Learning Paradigms](https://arxiv.org/abs/2205.05131) *— 2022 · arXiv:2205.05131*
6. [What Makes Reading Comprehension Questions Difficult?](https://aclanthology.org/2022.acl-long.479/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://aclanthology.org/2021.naacl-main.365/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
8. [A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering](https://aclanthology.org/2021.acl-long.318/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
9. [Benchmarking Machine Reading Comprehension: A Psychological Perspective](https://aclanthology.org/2021.eacl-main.137/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
10. [Beyond Paragraphs: NLP for Long Sequences](https://aclanthology.org/2021.naacl-tutorials.5/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Tutorials*
11. [English Machine Reading Comprehension Datasets: A Survey](https://md.mova.elamur.ai/free/en/docs/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
12. [Evaluation Paradigms in Question Answering](https://aclanthology.org/2021.emnlp-main.758/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
13. [KPQA: A Metric for Generative Question Answering Using Keyphrase Weights](https://aclanthology.org/2021.naacl-main.170/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
14. [Language Model Augmented Relevance Score](https://aclanthology.org/2021.acl-long.521/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
15. [Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering](https://aclanthology.org/2021.eacl-main.74/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
16. [MIMOQA: Multimodal Input Multimodal Output Question Answering](https://aclanthology.org/2021.naacl-main.418/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [Memory-efficient Transformers via Top-k Attention](https://aclanthology.org/2021.sustainlp-1.5/) *— 2021 · Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing*
18. [MetaICL: Learning to Learn In Context](https://arxiv.org/abs/2110.15943) *— 2021 · arXiv:2110.15943*
19. [NLQuAD: A Non-Factoid Long Question Answering Data Set](https://aclanthology.org/2021.eacl-main.106/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
20. [Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study](https://aclanthology.org/2021.tacl-1.61/) *— 2021 · Transactions of the Association for Computational Linguistics*
21. [PROST: Physical Reasoning about Objects through Space and Time](https://aclanthology.org/2021.findings-acl.404/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
22. [Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://arxiv.org/abs/2107.13586) *— 2021 · arXiv:2107.13586*
23. [ReadTwice: Reading Very Large Documents with Memories](https://aclanthology.org/2021.naacl-main.408/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
24. [Recursively Summarizing Books with Human Feedback](https://arxiv.org/abs/2109.10862) *— 2021 · arXiv:2109.10862*
25. [SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning](https://aclanthology.org/2021.semeval-1.4/) *— 2021 · Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)*
26. [Sorting through the noise: Testing robustness of information processing in pre-trained language models](https://aclanthology.org/2021.emnlp-main.119/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
27. [Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering](https://aclanthology.org/2021.emnlp-main.562/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
28. [TellMeWhy: A Dataset for Answering Why-Questions in Narratives](https://md.mova.elamur.ai/free/en/docs/papers/lal-2021-tellmewhy-dataset-answering-why-questions/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
29. [The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics](https://aclanthology.org/2021.gem-1.10/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
30. [A guide to the dataset explosion in QA, NLI, and commonsense reasoning](https://md.mova.elamur.ai/free/en/docs/papers/rogers-2020-guide-dataset-explosion-qa-nli/) *— our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts*
31. [Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension](https://aclanthology.org/2020.tacl-1.43/) *— 2020*
32. [Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models](https://arxiv.org/abs/2005.14709) *— 2020 · arXiv:2005.14709*
33. [Connecting the Dots: Event Graph Schema Induction with Path Language Modeling](https://aclanthology.org/2020.emnlp-main.50/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
34. [Conversational Question Answering in Low Resource Scenarios: A Dataset and Case Study for Basque](https://aclanthology.org/2020.lrec-1.55/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
35. [Dice Loss for Data-imbalanced NLP Tasks](https://aclanthology.org/2020.acl-main.45/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
36. [DoQA - Accessing Domain-Specific FAQs via Conversational QA](https://aclanthology.org/2020.acl-main.652/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
37. [Dynamic Sampling Strategies for Multi-Task Reading Comprehension](https://aclanthology.org/2020.acl-main.86/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
38. [Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ](https://aclanthology.org/2020.emnlp-demos.17/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
39. [Frustratingly Hard Evidence Retrieval for QA Over Books](https://aclanthology.org/2020.nuse-1.13/) *— 2020 · Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events*
40. [Improving Conversational Question Answering Systems after Deployment using Feedback-Weighted Learning](https://aclanthology.org/2020.coling-main.230/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
41. [Is Killed More Significant than Fled? A Contextual Model for Salient Event Detection](https://aclanthology.org/2020.coling-main.10/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
42. [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*
43. [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*
44. [LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning](https://arxiv.org/abs/2007.08124) *— 2020 · arXiv:2007.08124*
45. [Long Range Arena: A Benchmark for Efficient Transformers](https://arxiv.org/abs/2011.04006) *— 2020 · arXiv:2011.04006*
46. [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*
47. [Multi-hop Inference for Question-driven Summarization](https://aclanthology.org/2020.emnlp-main.547/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
48. [Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering](https://aclanthology.org/2020.acl-main.501/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
49. [Question Answering with Long Multiple-Span Answers](https://aclanthology.org/2020.findings-emnlp.342/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
50. [R4C: A Benchmark for Evaluating RC Systems to Get the Right Answer for the Right Reason](https://aclanthology.org/2020.acl-main.602/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
51. [ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning](https://arxiv.org/abs/2002.04326) *— 2020 · arXiv:2002.04326*
52. [Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension](https://aclanthology.org/2020.acl-main.603/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
53. [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)*
54. [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*
55. [The TechQA Dataset](https://aclanthology.org/2020.acl-main.117/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
56. [To Test Machine Comprehension, Start by Defining Comprehension](https://arxiv.org/abs/2005.01525) *— 2020 · arXiv:2005.01525*
57. [Towards building a Robust Industry-scale Question Answering System](https://aclanthology.org/2020.coling-industry.9/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Industry Track*
58. [Transformers to Learn Hierarchical Contexts in Multiparty Dialogue for Span-based Question Answering](https://aclanthology.org/2020.acl-main.505/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
59. [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*
60. [Unsupervised Commonsense Question Answering with Self-Talk](https://aclanthology.org/2020.emnlp-main.373/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
61. [基于多任务学习的生成式阅读理解(Generative Reading Comprehension via Multi-task Learning)](https://aclanthology.org/2020.ccl-1.29/) *— 2020 · Proceedings of the 19th Chinese National Conference on Computational Linguistics*
62. [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)*
63. [A Discrete Hard EM Approach for Weakly Supervised Question Answering](https://aclanthology.org/D19-1284/) *— 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)*
64. [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)*
65. [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)*
66. [BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering](https://aclanthology.org/N19-1032/) *— 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)*
67. [BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis](https://arxiv.org/abs/1904.02232) *— 2019 · arXiv:1904.02232*
68. [Bend but Don't Break? Multi-Challenge Stress Test for QA Models](https://aclanthology.org/D19-5818/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
69. [BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels](https://aclanthology.org/D19-1249/) *— 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)*
70. [ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters](https://aclanthology.org/N19-1027/) *— 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)*
71. [Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://aclanthology.org/P19-1416/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
72. [Comprehensive Multi-Dataset Evaluation of Reading Comprehension](https://aclanthology.org/D19-5820/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
73. [Compressive Transformers for Long-Range Sequence Modelling](https://arxiv.org/abs/1911.05507) *— 2019 · arXiv:1911.05507*
74. [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)*
75. [DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension](https://aclanthology.org/Q19-1014/) *— 2019 · Transactions of the Association for Computational Linguistics*
76. [DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs](https://md.mova.elamur.ai/free/en/docs/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/) *— our card · 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)*
77. [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*
78. [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)*
79. [ELI5: Long Form Question Answering](https://aclanthology.org/P19-1346/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
80. [Evaluating Question Answering Evaluation](https://aclanthology.org/D19-5817/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
81. [Evidence Sentence Extraction for Machine Reading Comprehension](https://aclanthology.org/K19-1065/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
82. [Extractive NarrativeQA with Heuristic Pre-Training](https://aclanthology.org/D19-5823/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
83. [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)*
84. [Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension](https://arxiv.org/abs/1904.09679) *— 2019 · arXiv:1904.09679*
85. [Learning to Ask Unanswerable Questions for Machine Reading Comprehension](https://aclanthology.org/P19-1415/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
86. [Learning with Limited Data for Multilingual Reading Comprehension](https://aclanthology.org/D19-1283/) *— 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)*
87. [MCScript2.0: A Machine Comprehension Corpus Focused on Script Events and Participants](https://aclanthology.org/S19-1012/) *— 2019 · Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)*
88. [Movie Plot Analysis via Turning Point Identification](https://aclanthology.org/D19-1180/) *— 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)*
89. [Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs](https://aclanthology.org/P19-1260/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
90. [Multi-style Generative Reading Comprehension](https://aclanthology.org/P19-1220/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
91. [On Making Reading Comprehension More Comprehensive](https://aclanthology.org/D19-5815/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
92. [Question Answering by Reasoning Across Documents with Graph Convolutional Networks](https://aclanthology.org/N19-1240/) *— 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)*
93. [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)*
94. [Question Answering in the Biomedical Domain](https://aclanthology.org/P19-2008/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
95. [Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension](https://aclanthology.org/P19-1543/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
96. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
97. [Restoring ancient text using deep learning: a case study on Greek epigraphy](https://aclanthology.org/D19-1668/) *— 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)*
98. [Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives](https://aclanthology.org/P19-1486/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
99. [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*
100. [A Knowledge Hunting Framework for Common Sense Reasoning](https://aclanthology.org/D18-1220/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*

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