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"Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space ...
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Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ...
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Don't Go Far Off: An Empirical Study on Neural Poetry Translation ...
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Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction ...
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Weakly-Supervised Methods for Suicide Risk Assessment: Role of Related Domains ...
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Don't Go Far Off: An Empirical Study on Neural Poetry Translation ...
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ENTRUST: Argument Reframing with Language Models and Entailment ...
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Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.504/ Abstract: Enthymemes are defined as arguments where a premise or conclusion is left implicit. We tackle the task of generating the implicit premise in an enthymeme, which requires not only an understanding of the stated conclusion and premise but also additional inferences that could depend on commonsense knowledge. The largest available dataset for enthymemes (Habernal et al., 2018) consists of 1.7k samples, which is not large enough to train a neural text generation model. To address this issue, we take advantage of a similar task and dataset: Abductive reasoning in narrative text (Bhagavatula et al., 2020). However, we show that simply using a state-of-the-art seq2seq model fine-tuned on this data might not generate meaningful implicit premises associated with the given enthymemes. We demonstrate that encoding discourse-aware commonsense during fine-tuning improves the quality of the generated implicit premises and outperforms all other ...
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Keyword:
Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics
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URL: https://underline.io/lecture/37589-implicit-premise-generation-with-discourse-aware-commonsense-knowledge-models https://dx.doi.org/10.48448/ggg5-ec35
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ENTRUST: Argument Reframing with Language Models and Entailment ...
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$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge ...
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Fact vs. Opinion: the Role of Argumentation Features in News Classification ...
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DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ...
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Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ...
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Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
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Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity
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In: Proceedings of the Society for Computation in Linguistics (2020)
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Interpreting Verbal Irony: Linguistic Strategies and the Connection to the Type of Semantic Incongruity ...
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