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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 Page: 1 2 Hits 1 – 20 of 35 1 "Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space ... Ghosh, Debanjan; Shrivastava, Ritvik; Muresan, Smaranda. - : arXiv, 2021 BASE Show details 2 Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ... 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; Callejas, Francesca; Eskander, Ramy. - : Underline Science Inc., 2021 BASE Show details 3 Don't Go Far Off: An Empirical Study on Neural Poetry Translation ... Chakrabarty, Tuhin; Saakyan, Arkadiy; Muresan, Smaranda. - : arXiv, 2021 BASE Show details 4 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 5 Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction ... 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; Al-Onaizan, Yaser; Anubhai, Rishita. - : Underline Science Inc., 2021 BASE Show details 6 Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains ... 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; Muresan, Smaranda; Yang, Chenghao. - : Underline Science Inc., 2021 BASE Show details 7 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 8 ENTRUST: Argument Reframing with Language Models and Entailment ... Chakrabarty, Tuhin; Hidey, Christopher; Muresan, Smaranda. - : arXiv, 2021 BASE Show details 9 Metaphor Generation with Conceptual Mappings ... Stowe, Kevin; Chakrabarty, Tuhin; Peng, Nanyun. - : arXiv, 2021 BASE Show details 10 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 11 ENTRUST: Argument Reframing with Language Models and Entailment ... NAACL 2021 2021; Chakrabarty, Tuhin; Hidey, Christopher. - : Underline Science Inc., 2021 BASE Show details 12 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 13 $R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ... Chakrabarty, Tuhin; Ghosh, Debanjan; Muresan, Smaranda. - : arXiv, 2020 BASE Show details 14 Fact vs. Opinion: the Role of Argumentation Features in News Classification ... The 28th International Conference on Computational Linguistics 2020; Alhindi, Tariq; Muresan, Smaranda. - : Underline Science Inc., 2020 BASE Show details 15 DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ... Hidey, Christopher; Chakrabarty, Tuhin; Alhindi, Tariq. - : arXiv, 2020 BASE Show details 16 Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ... Ghosh, Debanjan; Musi, Elena; Upasani, Kartikeya. - : University of Mass Amherst, 2020 BASE Show details 17 Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity Upasani, Kartikeya; Muresan, Smaranda; Ghosh, Debanjan. - 2020 BASE Show details 18 Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity Ghosh, Debanjan; Musi, Elena; Upasani, Kartikeya... In: Proceedings of the Society for Computation in Linguistics (2020) BASE Show details 19 Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ... Ghosh, Debanjan; Musi, Elena; Upasani, Kartikeya. - : arXiv, 2019 BASE Show details 20 Sarcasm Analysis using Conversation Context ... Ghosh, Debanjan; Fabbri, Alexander R.; Muresan, Smaranda. - : arXiv, 2018 Abstract: Computational models for sarcasm detection have often relied on the content of utterances in isolation. However, the speaker's sarcastic intent is not always apparent without additional context. Focusing on social media discussions, we investigate three issues: (1) does modeling conversation context help in sarcasm detection; (2) can we identify what part of conversation context triggered the sarcastic reply; and (3) given a sarcastic post that contains multiple sentences, can we identify the specific sentence that is sarcastic. To address the first issue, we investigate several types of Long Short-Term Memory (LSTM) networks that can model both the conversation context and the current turn. We show that LSTM networks with sentence-level attention on context and current turn, as well as the conditional LSTM network (Rocktaschel et al. 2016), outperform the LSTM model that reads only the current turn. As conversation context, we consider the prior turn, the succeeding turn or both. Our computational models ... : Computational Linguistics (journal) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1808.07531 https://arxiv.org/abs/1808.07531 BASE Hide details Page: 1 2

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