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Pathologies of Neural Models Make Interpretation Difficult., , , , , and . EMNLP, page 3719-3728. Association for Computational Linguistics, (2018)Interpreting Neural Networks with Nearest Neighbors., , and . BlackboxNLP@EMNLP, page 136-144. Association for Computational Linguistics, (2018)Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions., , , and . CoRR, (2018)Universal Adversarial Triggers for NLP., , , , and . CoRR, (2019)Compositional Questions Do Not Necessitate Multi-hop Reasoning., , , , , and . ACL (1), page 4249-4257. Association for Computational Linguistics, (2019)Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5848-5856. PMLR, (2019)AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models., , , , , and . EMNLP/IJCNLP (3), page 7-12. Association for Computational Linguistics, (2019)Do NLP Models Know Numbers? Probing Numeracy in Embeddings., , , , and . EMNLP/IJCNLP (1), page 5306-5314. Association for Computational Linguistics, (2019)Right Answer for the Wrong Reason: Discovery and Mitigation., , , , , and . CoRR, (2018)Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions., and . ACL (3), page 127-133. Association for Computational Linguistics, (2018)