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Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 6

579 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

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  1. On Making Reading Comprehension More Comprehensive — 2019 · Proceedings of the 2nd Workshop on Machine Reading for Question Answering
  2. On the Robustness of Self-Attentive Models — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  3. One Size Does Not Fit All: Comparing NMT Representations of Different Granularities — 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)
  4. PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification — 2019 · arXiv:1908.11828
  5. PAWS: Paraphrase Adversaries from Word Scrambling — 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)
  6. Posing Fair Generalization Tasks for Natural Language Inference — 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)
  7. Probing Neural Network Comprehension of Natural Language Arguments — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  8. Procedural Reasoning Networks for Understanding Multimodal Procedures — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  9. QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization — 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)
  10. Reading Turn by Turn: Hierarchical Attention Architecture for Spoken Dialogue Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  11. Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
  12. Relation Module for Non-Answerable Predictions on Reading Comprehension — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  13. Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  14. Retrofitting Contextualized Word Embeddings with Paraphrases — 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. Robust Neural Machine Translation with Doubly Adversarial Inputs — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  16. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems — 2019 · arXiv:1905.00537
  17. Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems — 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)
  18. To Annotate or Not? Predicting Performance Drop under Domain Shift — 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)
  19. Towards Debiasing Fact Verification Models — 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)
  20. Understanding the Behaviour of Neural Abstractive Summarizers using Contrastive Examples — 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)
  21. Universal Adversarial Triggers for Attacking and Analyzing NLP — 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)
  22. Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual — 2019 · Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP (DeepLo 2019)
  23. Unsupervised Question Answering by Cloze Translation — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  24. White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks — 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)
  25. pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference — 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)
  26. AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  27. Adversarial Evaluation of Multimodal Machine Translation — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  28. Adversarial Example Generation with Syntactically Controlled Paraphrase Networks — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  29. Adversarial Networks for Machine Reading — 2018
  30. Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  31. Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  32. An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
  33. Analyzing Compositionality-Sensitivity of NLI Models — 2018 · arXiv:1811.07033
  34. Answerable or Not: Devising a Dataset for Extending Machine Reading Comprehension — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  35. Assessing Composition in Sentence Vector Representations — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  36. Breaking NLI Systems with Sentences that Require Simple Lexical Inferences — our card · 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  37. Comparing Attention-Based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension — 2018 · Proceedings of the 22nd Conference on Computational Natural Language Learning
  38. Constructing Datasets for Multi-hop Reading Comprehension Across Documents — 2018 · Transactions of the Association for Computational Linguistics
  39. Deep Learning: A Critical Appraisal — 2018 · arXiv:1801.00631
  40. Deep learning evaluation using deep linguistic processing — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
  41. Did the Model Understand the Question? — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  42. Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System — 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  43. Efficient and Robust Question Answering from Minimal Context over Documents — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  44. Generating Natural Language Adversarial Examples — 2018 · arXiv:1804.07998
  45. HotFlip: White-Box Adversarial Examples for Text Classification — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  46. How much should you ask? On the question structure in QA systems. — 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  47. Know What You Don''t Know: Unanswerable Questions for SQuAD — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  48. LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  49. Learning Visually-Grounded Semantics from Contrastive Adversarial Samples — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  50. Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences — 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)
  51. Mapping to Declarative Knowledge for Word Problem Solving — our card · 2018
  52. Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  53. Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  54. Neural Approaches to Conversational AI — 2018 · arXiv:1809.08267
  55. Nightmare at test time: How punctuation prevents parsers from generalizing — 2018 · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
  56. On Adversarial Examples for Character-Level Neural Machine Translation — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  57. Pathologies of Neural Models Make Interpretations Difficult — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  58. QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension — 2018 · arXiv:1804.09541
  59. ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension — 2018 · arXiv:1810.12885
  60. Robust Multilingual Part-of-Speech Tagging via Adversarial Training — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  61. Semantically Equivalent Adversarial Rules for Debugging NLP models — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  62. Stochastic Answer Networks for Machine Reading Comprehension — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  63. Stress Test Evaluation for Natural Language Inference — 2018 · Proceedings of the 27th International Conference on Computational Linguistics
  64. Structured Neural Summarization — 2018 · arXiv:1811.01824
  65. Systematic Generalization: What Is Required and Can It Be Learned? — 2018 · arXiv:1811.12889
  66. Tackling Adversarial Examples in QA via Answer Sentence Selection — 2018 · Proceedings of the Workshop on Machine Reading for Question Answering
  67. The Importance of Being Recurrent for Modeling Hierarchical Structure — 2018 · arXiv:1803.03585
  68. The Web as a Knowledge-Base for Answering Complex Questions — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
  69. Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge — 2018 · arXiv:1803.05457
  70. Towards Inference-Oriented Reading Comprehension: ParallelQA — 2018 · Proceedings of the Workshop on Generalization in the Age of Deep Learning
  71. Tracking State Changes in Procedural Text: a Challenge Dataset and Models for Process Paragraph Comprehension — 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. Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions — 2018 · Proceedings of ACL 2018, Student Research Workshop
  73. Using Adversarial Examples in Natural Language Processing — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  74. Visual Referring Expression Recognition: What Do Systems Actually Learn? — 2018 · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
  75. What Makes Reading Comprehension Questions Easier? — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  76. Reinforced Mnemonic Reader for Machine Reading Comprehension — 2017 · arXiv:1705.02798
  77. Simple and Effective Multi-Paragraph Reading Comprehension — 2017 · arXiv:1710.10723
  78. Simulating Action Dynamics with Neural Process Networks — 2017 · arXiv:1711.05313
  79. Synthetic and Natural Noise Both Break Neural Machine Translation — 2017 · arXiv:1711.02173

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