The Naughtyformer: A Transformer Understands Offensive Humor

• URL: http://arxiv.org/abs/2211.14369v1
• Date: Fri, 25 Nov 2022 20:37:58 GMT
• Title: The Naughtyformer: A Transformer Understands Offensive Humor
• Authors: Leonard Tang, Alexander Cai, Steve Li, Jason Wang
• Abstract summary: We introduce a novel jokes dataset filtered from Reddit and solve the subtype classification task using a finetuned Transformer dubbed the Naughtyformer. We show that our model is significantly better at detecting offensiveness in jokes compared to state-of-the-art methods.
• Score: 63.05016513788047
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Jokes are intentionally written to be funny, but not all jokes are created the same. Some jokes may be fit for a classroom of kindergarteners, but others are best reserved for a more mature audience. While recent work has shown impressive results on humor detection in text, here we instead investigate the more nuanced task of detecting humor subtypes, especially of the less innocent variety. To that end, we introduce a novel jokes dataset filtered from Reddit and solve the subtype classification task using a finetuned Transformer dubbed the Naughtyformer. Moreover, we show that our model is significantly better at detecting offensiveness in jokes compared to state-of-the-art methods.

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