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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Figurative Language in Recognizing Textual Entailment ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chakrabarty, Tuhin; Ghosh, Debanjan. - : Underline Science Inc., 2021 BASE Show details 2 Discovering changes in birthing narratives during COVID-19 ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Caitlin; Mayat, Noreen. - : Underline Science Inc., 2021 BASE Show details 3 A Survey on Recognizing Textual Entailment as an NLP Evaluation ... Poliak, Adam. - : arXiv, 2020 BASE Show details 4 Probing Neural Language Models for Human Tacit Assumptions ... Weir, Nathaniel; Poliak, Adam; Van Durme, Benjamin. - : arXiv, 2020 Abstract: Humans carry stereotypic tacit assumptions (STAs) (Prince, 1978), or propositional beliefs about generic concepts. Such associations are crucial for understanding natural language. We construct a diagnostic set of word prediction prompts to evaluate whether recent neural contextualized language models trained on large text corpora capture STAs. Our prompts are based on human responses in a psychological study of conceptual associations. We find models to be profoundly effective at retrieving concepts given associated properties. Our results demonstrate empirical evidence that stereotypic conceptual representations are captured in neural models derived from semi-supervised linguistic exposure. ... : To be published in CogSci 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2004.04877 https://dx.doi.org/10.48550/arxiv.2004.04877 BASE Hide details 5 What do you learn from context? Probing for sentence structure in contextualized word representations ... Tenney, Ian; Xia, Patrick; Chen, Berlin. - : arXiv, 2019 BASE Show details 6 On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference ... Belinkov, Yonatan; Poliak, Adam; Shieber, Stuart M.. - : arXiv, 2019 BASE Show details 7 On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference Belinkov, Yonatan; Poliak, Adam; Shieber, Stuart. - 2019 BASE Show details 8 Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Belinkov, Yonatan; Poliak, Adam; Shieber, Stuart. - : Association of Computational Linguistics, 2019 BASE Show details 9 Efficient, Compositional, Order-Sensitive N-Gram Embeddings ... Poliak, Adam; Rastogi, Pushpendre; Martin, M. Patrick. - : Zenodo, 2017 BASE Show details 10 Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles ... Ferraro, Francis; Poliak, Adam; Cotterell, Ryan. - : arXiv, 2017 BASE Show details

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