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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
We introduce Chandler, a system that generates sarcastic responses to a given utterance. Previous sarcasm generators assume the intended meaning that sarcasm conceals is the opposite of the literal meaning. We argue that this traditional theory of sarcasm provides a grounding that is neither necessary, nor sufficient, for sarcasm to occur. Instead, we ground our generation process on a formal theory that specifies conditions that unambiguously differentiate sarcasm from non-sarcasm.doi:10.18653/v1/2021.emnlp-demo.38 fatcat:7lcnmhei3zg37lyippdwl4uxha