---
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 4

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

1. [Learning and Knowledge Transfer with Memory Networks for Machine Comprehension](https://aclanthology.org/E17-1080/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
2. [Learning to Ask: Neural Question Generation for Reading Comprehension](https://arxiv.org/abs/1705.00106) *— 2017 · arXiv:1705.00106*
3. [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)*
4. [Negotiation of Antibiotic Treatment in Medical Consultations: A Corpus Based Study](https://aclanthology.org/P17-3023/) *— 2017 · Proceedings of ACL 2017, Student Research Workshop*
5. [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*
6. [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*
7. [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*
8. [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)*
9. [Towards Harnessing Memory Networks for Coreference Resolution](https://aclanthology.org/W17-2605/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
10. [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*
11. [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*
12. [A Diagram Is Worth A Dozen Images](https://arxiv.org/abs/1603.07396) *— 2016 · arXiv:1603.07396*
13. [A Neural Knowledge Language Model](https://arxiv.org/abs/1608.00318) *— 2016 · arXiv:1608.00318*
14. [A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task](https://arxiv.org/abs/1606.02858) *— 2016 · arXiv:1606.02858*
15. [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*
16. [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*
17. [Attention-Based Convolutional Neural Network for Machine Comprehension](https://aclanthology.org/W16-0103/) *— 2016 · Proceedings of the Workshop on Human-Computer Question Answering*
18. [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)*
19. [CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning](https://arxiv.org/abs/1612.06890) *— 2016 · arXiv:1612.06890*
20. [Concrete Problems in AI Safety](https://arxiv.org/abs/1606.06565) *— 2016 · arXiv:1606.06565*
21. [Deep Learning Architecture for Patient Data De-identification in Clinical Records](https://aclanthology.org/W16-4206/) *— 2016 · Proceedings of the Clinical Natural Language Processing Workshop (ClinicalNLP)*
22. [Dialog-based Language Learning](https://arxiv.org/abs/1604.06045) *— 2016 · arXiv:1604.06045*
23. [Dialogue Learning With Human-In-The-Loop](https://arxiv.org/abs/1611.09823) *— 2016 · arXiv:1611.09823*
24. [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)*
25. [GuessWhat?! Visual object discovery through multi-modal dialogue](https://arxiv.org/abs/1611.08481) *— 2016 · arXiv:1611.08481*
26. [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*
27. [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*
28. [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*
29. [Learning End-to-End Goal-Oriented Dialog](https://arxiv.org/abs/1605.07683) *— 2016 · arXiv:1605.07683*
30. [Learning Text Similarity with Siamese Recurrent Networks](https://aclanthology.org/W16-1617/) *— 2016 · Proceedings of the 1st Workshop on Representation Learning for NLP*
31. [Learning To Use Formulas To Solve Simple Arithmetic Problems](https://md.research.elamur.ai/free/en/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)*
32. [Learning through Dialogue Interactions by Asking Questions](https://arxiv.org/abs/1612.04936) *— 2016 · arXiv:1612.04936*
33. [Learning to Understand Phrases by Embedding the Dictionary](https://aclanthology.org/Q16-1002/) *— 2016 · Transactions of the Association for Computational Linguistics*
34. [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*
35. [MS MARCO: A Human Generated MAchine Reading COmprehension Dataset](https://arxiv.org/abs/1611.09268) *— 2016 · arXiv:1611.09268*
36. [Machine Comprehension Using Match-LSTM and Answer Pointer](https://arxiv.org/abs/1608.07905) *— 2016 · arXiv:1608.07905*
37. [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)*
38. [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*
39. [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*
40. [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*
41. [Simpler Context-Dependent Logical Forms via Model Projections](https://arxiv.org/abs/1606.05378) *— 2016 · arXiv:1606.05378*
42. [Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding](https://aclanthology.org/D16-1052/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
43. [The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages](https://md.research.elamur.ai/free/en/papers/ud-2016-wang-galactic-dependencies-treebanks-getting-more/) *— our card · 2016*
44. [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)*
45. [Tracking the World State with Recurrent Entity Networks](https://arxiv.org/abs/1612.03969) *— 2016 · arXiv:1612.03969 · ICLR 2017*
46. [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*
47. [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)*
48. [A Roadmap towards Machine Intelligence](https://arxiv.org/abs/1511.08130) *— 2015 · arXiv:1511.08130*
49. [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*
50. [Ask Me Anything: Dynamic Memory Networks for Natural Language Processing](https://arxiv.org/abs/1506.07285) *— 2015 · arXiv:1506.07285*
51. [Competence in lexical semantics](https://aclanthology.org/S15-1019/) *— 2015 · Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics*
52. [End-To-End Memory Networks](https://arxiv.org/abs/1503.08895) *— 2015 · arXiv:1503.08895*
53. [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)*
54. [Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems](https://arxiv.org/abs/1511.06931) *— 2015 · arXiv:1511.06931*
55. [Gated Graph Sequence Neural Networks](https://arxiv.org/abs/1511.05493) *— 2015 · arXiv:1511.05493*
56. [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)*
57. [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)*
58. [Neural Module Networks](https://arxiv.org/abs/1511.02799) *— 2015 · arXiv:1511.02799*
59. [Recherche d”information précise dans des sources d”information structurées et non structurées : défis, approches et hybridation Precise information retrieval in structured and non-structured sources: challenges, approaches and hybridation](https://aclanthology.org/2015.tal-3.4/) *— 2015*
60. [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*
61. [The Goldilocks Principle: Reading Children”s Books with Explicit Memory Representations](https://arxiv.org/abs/1511.02301) *— 2015 · arXiv:1511.02301*
62. [Visual7W: Grounded Question Answering in Images](https://arxiv.org/abs/1511.03416) *— 2015 · arXiv:1511.03416*
63. [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*

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