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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 Don't Go Far Off: An Empirical Study on Neural Poetry Translation ... Chakrabarty, Tuhin; Saakyan, Arkadiy; Muresan, Smaranda. - : arXiv, 2021 BASE Show details 2 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; Muresan, Smaranda; Poliak, Adam. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.297 Abstract: We introduce a collection of recognizing textual entailment (RTE) datasets focused on figurative language. We leverage five existing datasets annotated for a variety of figurative language – simile, metaphor, and irony– and frame them into over 12,500 RTE examples. We evaluate how well state-of-the-art models trained on popular RTE datasets capture different aspects of figurative language. Our results and analyses indicate that these models might not sufficiently capture figurative language, struggling to perform pragmatic inference and reasoning about world knowledge. Ultimately, our datasets provide a challenging testbed for evaluating RTE models. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://dx.doi.org/10.48448/tmaj-d538 https://underline.io/lecture/26388-figurative-language-in-recognizing-textual-entailment BASE Hide details 3 Don't Go Far Off: An Empirical Study on Neural Poetry Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chakrabarty, Tuhin; Muresan, Smaranda. - : Underline Science Inc., 2021 BASE Show details 4 ENTRUST: Argument Reframing with Language Models and Entailment ... Chakrabarty, Tuhin; Hidey, Christopher; Muresan, Smaranda. - : arXiv, 2021 BASE Show details 5 Metaphor Generation with Conceptual Mappings ... Stowe, Kevin; Chakrabarty, Tuhin; Peng, Nanyun. - : arXiv, 2021 BASE Show details 6 Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Chakrabarty, Tuhin; Muresan, Smaranda. - : Underline Science Inc., 2021 BASE Show details 7 ENTRUST: Argument Reframing with Language Models and Entailment ... NAACL 2021 2021; Chakrabarty, Tuhin; Hidey, Christopher. - : Underline Science Inc., 2021 BASE Show details 8 Metaphor Generation with Conceptual Mappings ... 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; ., Iryna; Chakrabarty, Tuhin. - : Underline Science Inc., 2021 BASE Show details 9 $R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ... Chakrabarty, Tuhin; Ghosh, Debanjan; Muresan, Smaranda. - : arXiv, 2020 BASE Show details 10 DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ... Hidey, Christopher; Chakrabarty, Tuhin; Alhindi, Tariq. - : arXiv, 2020 BASE Show details

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