---
title: "Who cites Towards AI-Complete Question Answering: A Set of…"
description: "The papers of the Elamur Research library that cite «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks», found in their…"
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# Who cites «Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks» · page 3

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

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

1. [Comprehensive Multi-Dataset Evaluation of Reading Comprehension](https://aclanthology.org/D19-5820/) *— 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering*
2. [Context Dependent Semantic Parsing over Temporally Structured Data](https://aclanthology.org/N19-1360/) *— 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)*
3. [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)*
4. [Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering](https://arxiv.org/abs/1911.03876) *— 2019 · arXiv:1911.03876*
5. [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*
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. [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)*
8. [Extraction of Message Sequence Charts from Narrative History Text](https://aclanthology.org/W19-2404/) *— 2019 · Proceedings of the First Workshop on Narrative Understanding*
9. [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*
10. [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*
11. [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*
12. [Harry Potter and the Action Prediction Challenge from Natural Language](https://aclanthology.org/N19-1218/) *— 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)*
13. [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*
14. [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)*
15. [Measuring Compositional Generalization: A Comprehensive Method on Realistic Data](https://arxiv.org/abs/1912.09713) *— 2019 · arXiv:1912.09713*
16. [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*
17. [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*
18. [Probing Natural Language Inference Models through Semantic Fragments](https://arxiv.org/abs/1909.07521) *— 2019 · arXiv:1909.07521*
19. [Procedural Reasoning Networks for Understanding Multimodal Procedures](https://aclanthology.org/K19-1041/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
20. [QASC: A Dataset for Question Answering via Sentence Composition](https://arxiv.org/abs/1910.11473) *— 2019 · arXiv:1910.11473*
21. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
22. [Relation Module for Non-Answerable Predictions on Reading Comprehension](https://aclanthology.org/K19-1070/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
23. [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)*
24. [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*
25. [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)*
26. [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)*
27. [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)*
28. [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*
29. [UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference](https://aclanthology.org/W19-5054/) *— 2019 · Proceedings of the 18th BioNLP Workshop and Shared Task*
30. [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)*
31. [Understanding Roles and Entities: Datasets and Models for Natural Language Inference](https://arxiv.org/abs/1904.09720) *— 2019 · arXiv:1904.09720*
32. [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)*
33. [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)*
34. [What Can Neural Networks Reason About?](https://arxiv.org/abs/1905.13211) *— 2019 · arXiv:1905.13211*
35. [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)*
36. [A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension](https://aclanthology.org/W18-2603/) *— 2018 · Proceedings of the Workshop on Machine Reading for Question Answering*
37. [Adversarial Networks for Machine Reading](https://aclanthology.org/2018.tal-2.4/) *— 2018*
38. [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*
39. [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*
40. [Assessing Composition in Sentence Vector Representations](https://aclanthology.org/C18-1152/) *— 2018 · Proceedings of the 27th International Conference on Computational Linguistics*
41. [Automated Evaluation of Out-of-Context Errors](https://aclanthology.org/L18-1318/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
42. [BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning](https://arxiv.org/abs/1810.08272) *— 2018 · arXiv:1810.08272*
43. [CNN for Text-Based Multiple Choice Question Answering](https://aclanthology.org/P18-2044/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
44. [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)*
45. [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*
46. [Constructing Datasets for Multi-hop Reading Comprehension Across Documents](https://aclanthology.org/Q18-1021/) *— 2018 · Transactions of the Association for Computational Linguistics*
47. [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)*
48. [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*
49. [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)*
50. [Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA](https://arxiv.org/abs/1805.07978) *— 2018 · arXiv:1805.07978*
51. [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*
52. [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*
53. [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)*
54. [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*
55. [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*
56. [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)*
57. [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)*
58. [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*
59. [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)*
60. [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)*
61. [Neural Arithmetic Logic Units](https://arxiv.org/abs/1808.00508) *— 2018 · arXiv:1808.00508*
62. [Neural Event Extraction from Movies Description](https://aclanthology.org/W18-1507/) *— 2018 · Proceedings of the First Workshop on Storytelling*
63. [Neural Models for Reasoning over Multiple Mentions Using Coreference](https://aclanthology.org/N18-2007/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)*
64. [Object-oriented Neural Programming (OONP) for Document Understanding](https://aclanthology.org/P18-1253/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
65. [Reasoning about Actions and State Changes by Injecting Commonsense Knowledge](https://aclanthology.org/D18-1006/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
66. [Reinforced Extractive Summarization with Question-Focused Rewards](https://aclanthology.org/P18-3015/) *— 2018 · Proceedings of ACL 2018, Student Research Workshop*
67. [Robust and Scalable Differentiable Neural Computer for Question Answering](https://aclanthology.org/W18-2606/) *— 2018 · Proceedings of the Workshop on Machine Reading for Question Answering*
68. [SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
69. [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*
70. [Spotting Spurious Data with Neural Networks](https://aclanthology.org/N18-1182/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
71. [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)*
72. [Synthetic Data Made to Order: The Case of Parsing](https://aclanthology.org/D18-1163/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
73. [TVQA: Localized, Compositional Video Question Answering](https://aclanthology.org/D18-1167/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
74. [The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants](https://aclanthology.org/N18-1175/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
75. [The NarrativeQA Reading Comprehension Challenge](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) *— our card · 2018*
76. [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)*
77. [Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457) *— 2018 · arXiv:1803.05457*
78. [Toward zero-shot Entity Recognition in Task-oriented Conversational Agents](https://aclanthology.org/W18-5036/) *— 2018 · Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue*
79. [Towards Inference-Oriented Reading Comprehension: ParallelQA](https://aclanthology.org/W18-1001/) *— 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning*
80. [Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension](https://aclanthology.org/N18-1144/) *— 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)*
81. [Universal Transformers](https://arxiv.org/abs/1807.03819) *— 2018 · arXiv:1807.03819*
82. [Using Adversarial Examples in Natural Language Processing](https://aclanthology.org/L18-1584/) *— 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)*
83. [Whodunnit? Crime Drama as a Case for Natural Language Understanding](https://aclanthology.org/Q18-1001/) *— 2018 · Transactions of the Association for Computational Linguistics*
84. [A simple neural network module for relational reasoning](https://arxiv.org/abs/1706.01427) *— 2017 · arXiv:1706.01427*
85. [AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks](https://arxiv.org/abs/1705.09786) *— 2017 · arXiv:1705.09786*
86. [Action Languages and Question Answering](https://aclanthology.org/W17-6925/) *— 2017 · Proceedings of the 12th International Conference on Computational Semantics (IWCS) –- Short papers*
87. [Automated Curriculum Learning for Neural Networks](https://arxiv.org/abs/1704.03003) *— 2017 · arXiv:1704.03003*
88. [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)*
89. [CommAI: Evaluating the first steps towards a useful general AI](https://arxiv.org/abs/1701.08954) *— 2017 · arXiv:1701.08954*
90. [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*
91. [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*
92. [End to End Dialog System for Telugu](https://aclanthology.org/W17-7533/) *— 2017 · Proceedings of the 14th International Conference on Natural Language Processing (ICON-2017)*
93. [Extracting Tags from Large Raw Texts Using End-to-End Memory Networks](https://aclanthology.org/W17-7305/) *— 2017 · Proceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2)*
94. [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*
95. [Here”s My Point: Joint Pointer Architecture for Argument Mining](https://aclanthology.org/D17-1143/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
96. [If You Can”t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking](https://aclanthology.org/E17-1012/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
97. [Improving End-to-End Memory Networks with Unified Weight Tying](https://aclanthology.org/U17-1002/) *— 2017 · Proceedings of the Australasian Language Technology Association Workshop 2017*
98. [Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework](https://md.research.elamur.ai/free/en/papers/white-2017-inference-is-everything-recasting-semantic/) *— our card · 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
99. [Integrating Order Information and Event Relation for Script Event Prediction](https://aclanthology.org/D17-1006/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
100. [Learning Word Representations with Regularization from Prior Knowledge](https://aclanthology.org/K17-1016/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*

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