AAAI 2023technical1 citations
The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract)
Leonard Tang, Alexander Cai, Jason Wang
Abstract
Jokes are intentionally written to be funny, but not all jokes are created the same. While recent work has shown impressive results on humor detection in text, we instead investigate the more nuanced task of detecting humor subtypes, especially of the more adult 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.
BibTeX
@article{Tang_Cai_Wang_2024, title={The Naughtyformer: A Transformer Understands and Moderates Adult Humor (Student Abstract)}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/27034}, DOI={10.1609/aaai.v37i13.27034}, abstractNote={Jokes are intentionally written to be funny, but not all jokes are created the same. While recent work has shown impressive results on humor detection in text, we instead investigate the more nuanced task of detecting humor subtypes, especially of the more adult 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.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Tang, Leonard and Cai, Alexander and Wang, Jason}, year={2024}, month={Jul.}, pages={16348-16349} }