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# Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 2

363 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/weston-2015-towards-ai-complete-question-answering/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering/) · **2** · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/weston-2015-towards-ai-complete-question-answering-4/)

1. [Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning](https://aclanthology.org/2022.emnlp-main.413/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
2. [A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware](https://arxiv.org/abs/2107.03992) *— 2021 · arXiv:2107.03992*
3. [Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems](https://aclanthology.org/2021.naacl-main.239/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
4. [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*
5. [Database reasoning over text](https://aclanthology.org/2021.acl-long.241/) *— 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)*
6. [Decoding Methods for Neural Narrative Generation](https://aclanthology.org/2021.gem-1.16/) *— 2021 · Proceedings of the First Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
7. [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*
8. [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*
9. [GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning](https://md.mova.elamur.ai/free/en/docs/papers/zheng-2021-grice-grammar-based-dataset-recovering/) *— our card · 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
10. [General-Purpose Question-Answering with Macaw](https://arxiv.org/abs/2109.02593) *— 2021 · arXiv:2109.02593*
11. [Knowledge-driven Natural Language Understanding of English Text and its Applications](https://arxiv.org/abs/2101.11707) *— 2021 · arXiv:2101.11707*
12. [PonderNet: Learning to Ponder](https://arxiv.org/abs/2107.05407) *— 2021 · arXiv:2107.05407*
13. [Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting](https://aclanthology.org/2021.naacl-industry.5/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
14. [Probabilistic Graph Reasoning for Natural Proof Generation](https://aclanthology.org/2021.findings-acl.277/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
15. [RuleBERT: Teaching Soft Rules to Pre-Trained Language Models](https://aclanthology.org/2021.emnlp-main.110/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
16. [SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning](https://md.mova.elamur.ai/free/en/docs/papers/mirzaee-2021-spartqa-textual-question-answering-benchmark/) *— our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
17. [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*
18. [Textual Time Travel: A Temporally Informed Approach to Theory of Mind](https://aclanthology.org/2021.findings-emnlp.351/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
19. [Time-Stamped Language Model: Teaching Language Models to Understand The Flow of Events](https://aclanthology.org/2021.naacl-main.362/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
20. [multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning](https://aclanthology.org/2021.naacl-main.287/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
21. [A Dataset for Statutory Reasoning in Tax Law Entailment and Question Answering](https://arxiv.org/abs/2005.05257) *— 2020 · arXiv:2005.05257*
22. [A Dataset for Tracking Entities in Open Domain Procedural Text](https://aclanthology.org/2020.emnlp-main.520/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
23. [Are Pretrained Language Models Symbolic Reasoners over Knowledge?](https://aclanthology.org/2020.conll-1.45/) *— 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning*
24. [Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data](https://aclanthology.org/2020.acl-main.463/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking](https://aclanthology.org/2020.acl-main.761/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
26. [HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data](https://arxiv.org/abs/2004.07347) *— 2020 · arXiv:2004.07347*
27. [INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving](https://arxiv.org/abs/2007.02924) *— 2020 · arXiv:2007.02924*
28. [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*
29. [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*
30. [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*
31. [PRover: Proof Generation for Interpretable Reasoning over Rules](https://aclanthology.org/2020.emnlp-main.9/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
32. [Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems](https://aclanthology.org/2020.findings-emnlp.316/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
33. [Scalable Neural Methods for Reasoning With a Symbolic Knowledge Base](https://arxiv.org/abs/2002.06115) *— 2020 · arXiv:2002.06115*
34. [The Margarita Dialogue Corpus: A Data Set for Time-Offset Interactions and Unstructured Dialogue Systems](https://aclanthology.org/2020.lrec-1.60/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
35. [To Test Machine Comprehension, Start by Defining Comprehension](https://arxiv.org/abs/2005.01525) *— 2020 · arXiv:2005.01525*
36. [Towards Transparent and Explainable Attention Models](https://aclanthology.org/2020.acl-main.387/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
37. [Transformers as Soft Reasoners over Language](https://arxiv.org/abs/2002.05867) *— 2020 · arXiv:2002.05867*
38. [Understanding Procedural Text using Interactive Entity Networks](https://aclanthology.org/2020.emnlp-main.591/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
39. [Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning](https://aclanthology.org/2020.emnlp-main.61/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
40. [Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking](https://aclanthology.org/2020.acl-main.12/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
41. [應用多跳躍注意記憶關聯於記憶網路之研究 (A Research of Applying Multi-hop Attention and Memory Relations on Memory Networks)](https://aclanthology.org/2020.ijclclp-1.5/) *— 2020*
42. [Analysing Mathematical Reasoning Abilities of Neural Models](https://arxiv.org/abs/1904.01557) *— 2019 · arXiv:1904.01557*
43. [Answering Naturally: Factoid to Full length Answer Generation](https://aclanthology.org/D19-5401/) *— 2019 · Proceedings of the 2nd Workshop on New Frontiers in Summarization*
44. [Are Red Roses Red? Evaluating Consistency of Question-Answering Models](https://aclanthology.org/P19-1621/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
45. [Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets](https://arxiv.org/abs/1911.09241) *— 2019 · arXiv:1911.09241*
46. [Attention is not Explanation](https://aclanthology.org/N19-1357/) *— 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)*
47. [Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA](https://aclanthology.org/P19-1262/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
48. [Be Consistent! Improving Procedural Text Comprehension using Label Consistency](https://aclanthology.org/N19-1244/) *— 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)*
49. [BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions](https://aclanthology.org/N19-1300/) *— 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)*
50. [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)*
51. [Comprehensive Multi-Dataset Evaluation of Reading Comprehension](https://aclanthology.org/D19-5820/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
52. [DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs](https://aclanthology.org/D19-1194/) *— 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)*
53. [Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering](https://arxiv.org/abs/1911.03876) *— 2019 · arXiv:1911.03876*
54. [End-to-end Deep Reinforcement Learning Based Coreference Resolution](https://aclanthology.org/P19-1064/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
55. [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*
56. [Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text](https://aclanthology.org/D19-1457/) *— 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. [Extraction of Message Sequence Charts from Narrative History Text](https://aclanthology.org/W19-2404/) *— 2019 · Proceedings of the First Workshop on Narrative Understanding*
58. [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*
59. [From ''F'' to ''A'' on the N.Y. Regents Science Exams: An Overview of the Aristo Project](https://arxiv.org/abs/1909.01958) *— 2019 · arXiv:1909.01958*
60. [HEAD-QA: A Healthcare Dataset for Complex Reasoning](https://aclanthology.org/P19-1092/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
61. [Inferential Machine Comprehension: Answering Questions by Recursively Deducing the Evidence Chain from Text](https://aclanthology.org/P19-1217/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
62. [Interactive Language Learning by Question Answering](https://aclanthology.org/D19-1280/) *— 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)*
63. [Measuring Compositional Generalization: A Comprehensive Method on Realistic Data](https://arxiv.org/abs/1912.09713) *— 2019 · arXiv:1912.09713*
64. [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*
65. [On the Importance of the Kullback-Leibler Divergence Term in Variational Autoencoders for Text Generation](https://aclanthology.org/D19-5612/) *— 2019 · Proceedings of the 3rd Workshop on Neural Generation and Translation*
66. [Probing Natural Language Inference Models through Semantic Fragments](https://arxiv.org/abs/1909.07521) *— 2019 · arXiv:1909.07521*
67. [Procedural Reasoning Networks for Understanding Multimodal Procedures](https://aclanthology.org/K19-1041/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
68. [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473) *— 2019 · arXiv:1910.11473*
69. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
70. [Revisiting the Evaluation of Theory of Mind through Question Answering](https://aclanthology.org/D19-1598/) *— 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)*
71. [Rotational Unit of Memory: A Novel Representation Unit for RNNs with Scalable Applications](https://aclanthology.org/Q19-1008/) *— 2019 · Transactions of the Association for Computational Linguistics*
72. [Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning](https://aclanthology.org/D19-1455/) *— 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)*
73. [Term-Based Extraction of Medical Information: Pre-Operative Patient Education Use Case](https://aclanthology.org/R19-1154/) *— 2019 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)*
74. [Towards Debiasing Fact Verification Models](https://aclanthology.org/D19-1341/) *— 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. [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*
76. [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)*
77. [Understanding Roles and Entities: Datasets and Models for Natural Language Inference](https://arxiv.org/abs/1904.09720) *— 2019 · arXiv:1904.09720*
78. [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)*
79. [WIQA: A dataset for ``What if...'''' reasoning over procedural text](https://aclanthology.org/D19-1629/) *— 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)*
80. [What Can Neural Networks Reason About?](https://arxiv.org/abs/1905.13211) *— 2019 · arXiv:1905.13211*
81. [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)*
82. [Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models](https://aclanthology.org/K18-1047/) *— 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning*
83. [Assessing Composition in Sentence Vector Representations](https://aclanthology.org/C18-1152/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
84. [BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning](https://arxiv.org/abs/1810.08272) *— 2018 · arXiv:1810.08272*
85. [Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog](https://aclanthology.org/N18-1185/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
86. [Commonsense for Generative Multi-Hop Question Answering Tasks](https://aclanthology.org/D18-1454/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
87. [Constructing Datasets for Multi-hop Reading Comprehension Across Documents](https://aclanthology.org/Q18-1021/) *— 2018 · Transactions of the Association for Computational Linguistics*
88. [Contextualized Word Representations for Reading Comprehension](https://aclanthology.org/N18-2088/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
89. [Deep learning evaluation using deep linguistic processing](https://aclanthology.org/W18-1003/) *— 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning*
90. [Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings](https://aclanthology.org/N18-2028/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
91. [Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA](https://arxiv.org/abs/1805.07978) *— 2018 · arXiv:1805.07978*
92. [Evaluating Theory of Mind in Question Answering](https://aclanthology.org/D18-1261/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
93. [Exploiting Attention to Reveal Shortcomings in Memory Models](https://aclanthology.org/W18-5454/) *— 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP*
94. [Generating Fine-Grained Open Vocabulary Entity Type Descriptions](https://aclanthology.org/P18-1081/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [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*
96. [ListOps: A Diagnostic Dataset for Latent Tree Learning](https://aclanthology.org/N18-4013/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop*
97. [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)*
98. [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)*
99. [MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller](https://aclanthology.org/D18-1237/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
100. [Modeling Naive Psychology of Characters in Simple Commonsense Stories](https://aclanthology.org/P18-1213/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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