On Sarcasm Detection with OpenAI GPT-based Models

Autor: Gole, Montgomery, Nwadiugwu, Williams-Paul, Miranskyy, Andriy

Publikováno v: A condensed version is in Proceedings of the 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON 2024)

Sarcasm is a form of irony that requires readers or listeners to interpret its intended meaning by considering context and social cues. Machine learning classification models have long had difficulty detecting sarcasm due to its social complexity and

Externí odkaz: http://arxiv.org/abs/2312.04642