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

1. [Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds](https://md.mova.elamur.ai/free/en/docs/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)*
2. [Neural Arithmetic Logic Units](https://arxiv.org/abs/1808.00508) *— 2018 · arXiv:1808.00508*
3. [Neural Event Extraction from Movies Description](https://aclanthology.org/W18-1507/) *— 2018 · Proceedings of the First Workshop on Storytelling*
4. [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)*
5. [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)*
6. [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*
7. [Reinforced Extractive Summarization with Question-Focused Rewards](https://aclanthology.org/P18-3015/) *— 2018 · Proceedings of ACL 2018, Student Research Workshop*
8. [SemEval-2018 Task 11: Machine Comprehension Using Commonsense Knowledge](https://aclanthology.org/S18-1119/) *— 2018 · Proceedings of the 12th International Workshop on Semantic Evaluation*
9. [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*
10. [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)*
11. [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)*
12. [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*
13. [TVQA: Localized, Compositional Video Question Answering](https://aclanthology.org/D18-1167/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
14. [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)*
15. [The NarrativeQA Reading Comprehension Challenge](https://md.mova.elamur.ai/free/en/docs/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/) *— our card · 2018*
16. [Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge](https://arxiv.org/abs/1803.05457) *— 2018 · arXiv:1803.05457*
17. [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*
18. [Towards Inference-Oriented Reading Comprehension: ParallelQA](https://aclanthology.org/W18-1001/) *— 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning*
19. [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)*
20. [Universal Transformers](https://arxiv.org/abs/1807.03819) *— 2018 · arXiv:1807.03819*
21. [Whodunnit? Crime Drama as a Case for Natural Language Understanding](https://aclanthology.org/Q18-1001/) *— 2018 · Transactions of the Association for Computational Linguistics*
22. [A simple neural network module for relational reasoning](https://arxiv.org/abs/1706.01427) *— 2017 · arXiv:1706.01427*
23. [AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks](https://arxiv.org/abs/1705.09786) *— 2017 · arXiv:1705.09786*
24. [Automated Curriculum Learning for Neural Networks](https://arxiv.org/abs/1704.03003) *— 2017 · arXiv:1704.03003*
25. [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)*
26. [CommAI: Evaluating the first steps towards a useful general AI](https://arxiv.org/abs/1701.08954) *— 2017 · arXiv:1701.08954*
27. [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*
28. [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*
29. [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*
30. [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*
31. [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*
32. [Inference is Everything: Recasting Semantic Resources into a Unified Evaluation Framework](https://md.mova.elamur.ai/free/en/docs/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)*
33. [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*
34. [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)*
35. [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106) *— 2017 · arXiv:1705.00106*
36. [Learning to Skim Text](https://aclanthology.org/P17-1172/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [ParlAI: A Dialog Research Software Platform](https://aclanthology.org/D17-2014/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
38. [Reasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension](https://aclanthology.org/D17-1216/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
39. [Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks](https://aclanthology.org/D17-1255/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
40. [The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task](https://aclanthology.org/K17-1004/) *— 2017 · Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017)*
41. [Towards Harnessing Memory Networks for Coreference Resolution](https://aclanthology.org/W17-2605/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
42. [Which is the Effective Way for Gaokao: Information Retrieval or Neural Networks?](https://aclanthology.org/E17-1011/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
43. [A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories](https://aclanthology.org/N16-1098/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [A Diagram Is Worth A Dozen Images](https://arxiv.org/abs/1603.07396) *— 2016 · arXiv:1603.07396*
45. [A Neural Knowledge Language Model](https://arxiv.org/abs/1608.00318) *— 2016 · arXiv:1608.00318*
46. [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://arxiv.org/abs/1606.02858) *— 2016 · arXiv:1606.02858*
47. [A critique of word similarity as a method for evaluating distributional semantic models](https://aclanthology.org/W16-2502/) *— 2016 · Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP*
48. [An Analysis of Prerequisite Skills for Reading Comprehension](https://aclanthology.org/W16-6001/) *— 2016 · Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods*
49. [Attention-Based Convolutional Neural Network for Machine Comprehension](https://aclanthology.org/W16-0103/) *— 2016 · Proceedings of the Workshop on Human-Computer Question Answering*
50. [CFO: Conditional Focused Neural Question Answering with Large-scale Knowledge Bases](https://aclanthology.org/P16-1076/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
51. [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://arxiv.org/abs/1612.06890) *— 2016 · arXiv:1612.06890*
52. [Concrete Problems in AI Safety](https://arxiv.org/abs/1606.06565) *— 2016 · arXiv:1606.06565*
53. [Dialog-based Language Learning](https://arxiv.org/abs/1604.06045) *— 2016 · arXiv:1604.06045*
54. [Dialogue Learning With Human-In-The-Loop](https://arxiv.org/abs/1611.09823) *— 2016 · arXiv:1611.09823*
55. [Easy Questions First? A Case Study on Curriculum Learning for Question Answering](https://aclanthology.org/P16-1043/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [GuessWhat?! Visual object discovery through multi-modal dialogue](https://arxiv.org/abs/1611.08481) *— 2016 · arXiv:1611.08481*
57. [Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention](https://aclanthology.org/C16-1090/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
58. [Joint Learning of Sentence Embeddings for Relevance and Entailment](https://aclanthology.org/W16-1602/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
59. [Key-Value Memory Networks for Directly Reading Documents](https://aclanthology.org/D16-1147/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
60. [Learning End-to-End Goal-Oriented Dialog](https://arxiv.org/abs/1605.07683) *— 2016 · arXiv:1605.07683*
61. [Learning Text Similarity with Siamese Recurrent Networks](https://aclanthology.org/W16-1617/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
62. [Learning To Use Formulas To Solve Simple Arithmetic Problems](https://md.mova.elamur.ai/free/en/docs/papers/mitra-2016-learning-use-formulas-solve-simple/) *— our card · 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Learning through Dialogue Interactions by Asking Questions](https://arxiv.org/abs/1612.04936) *— 2016 · arXiv:1612.04936*
64. [Learning to Understand Phrases by Embedding the Dictionary](https://aclanthology.org/Q16-1002/) *— 2016 · Transactions of the Association for Computational Linguistics*
65. [MAWPS: A Math Word Problem Repository](https://aclanthology.org/N16-1136/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [MS MARCO: A Human Generated MAchine Reading COmprehension Dataset](https://arxiv.org/abs/1611.09268) *— 2016 · arXiv:1611.09268*
67. [Machine Comprehension Using Match-LSTM and Answer Pointer](https://arxiv.org/abs/1608.07905) *— 2016 · arXiv:1608.07905*
68. [Machine Comprehension using Rich Semantic Representations](https://aclanthology.org/P16-2079/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
69. [Moving away from semantic overfitting in disambiguation datasets](https://aclanthology.org/W16-6004/) *— 2016 · Proceedings of the Workshop on Uphill Battles in Language Processing: Scaling Early Achievements to Robust Methods*
70. [On the Evaluation of Dialogue Systems with Next Utterance Classification](https://aclanthology.org/W16-3634/) *— 2016 · Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
71. [SQuAD: 100,000+ Questions for Machine Comprehension of Text](https://aclanthology.org/D16-1264/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
72. [Simpler Context-Dependent Logical Forms via Model Projections](https://arxiv.org/abs/1606.05378) *— 2016 · arXiv:1606.05378*
73. [The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages](https://md.mova.elamur.ai/free/en/docs/papers/ud-2016-wang-galactic-dependencies-treebanks-getting-more/) *— our card · 2016*
74. [The LAMBADA dataset: Word prediction requiring a broad discourse context](https://aclanthology.org/P16-1144/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
75. [Tracking the World State with Recurrent Entity Networks](https://arxiv.org/abs/1612.03969) *— 2016 · arXiv:1612.03969 · ICLR 2017*
76. [What's in an Explanation? Characterizing Knowledge and Inference Requirements for Elementary Science Exams](https://aclanthology.org/C16-1278/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
77. [WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia](https://aclanthology.org/P16-1145/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [A Roadmap towards Machine Intelligence](https://arxiv.org/abs/1511.08130) *— 2015 · arXiv:1511.08130*
79. [A large annotated corpus for learning natural language inference](https://aclanthology.org/D15-1075/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
80. [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://arxiv.org/abs/1506.07285) *— 2015 · arXiv:1506.07285*
81. [Competence in lexical semantics](https://aclanthology.org/S15-1019/) *— 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics*
82. [End-To-End Memory Networks](https://arxiv.org/abs/1503.08895) *— 2015 · arXiv:1503.08895*
83. [End-to-end learning of semantic role labeling using recurrent neural networks](https://aclanthology.org/P15-1109/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
84. [Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems](https://arxiv.org/abs/1511.06931) *— 2015 · arXiv:1511.06931*
85. [Gated Graph Sequence Neural Networks](https://arxiv.org/abs/1511.05493) *— 2015 · arXiv:1511.05493*
86. [Learning Answer-Entailing Structures for Machine Comprehension](https://aclanthology.org/P15-1024/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
87. [Machine Comprehension with Syntax, Frames, and Semantics](https://aclanthology.org/P15-2115/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
88. [Neural Module Networks](https://arxiv.org/abs/1511.02799) *— 2015 · arXiv:1511.02799*
89. [Sarcastic or Not: Word Embeddings to Predict the Literal or Sarcastic Meaning of Words](https://aclanthology.org/D15-1116/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
90. [The Goldilocks Principle: Reading Children''s Books with Explicit Memory Representations](https://arxiv.org/abs/1511.02301) *— 2015 · arXiv:1511.02301*
91. [Visual7W: Grounded Question Answering in Images](https://arxiv.org/abs/1511.03416) *— 2015 · arXiv:1511.03416*
92. [Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model](https://aclanthology.org/W15-2710/) *— 2015 · Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics*
93. abzianidze-2023-spacenli-evaluating-consistency-predicting-inferences
94. ahmadzadeh-2021-a2p-mann-adaptive-attention-inference
95. ashok-2025-little-human-data-goes-long
96. belohlavek-2018-adversarial-examples-natural-language-processing
97. bhambri-2026-interpretable-traces-unexpected-outcomes-investigating
98. bhatt-2026-rbcorr-response-bias-correction-language
99. bockling-2026-multiglobeqa-multilingual-globally-diverse-benchmark
100. boulanger-2020-evaluation-systematique-d-une-methode

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