TUG-CIC at SemEval-2021 Task 6: Two-stage Fine-tuning for Intended Sarcasm Detection
Jason Angel, Segun Aroyehun, Alexander F. Gelbukh · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
We present our systems and findings for the iSarcasmEval: Intended Sarcasm Detection In English and Arabic at SEMEVAL 2022.Specifically we take part in the Subtask A for the English language.The task aims to determine whether a text from social media (a tweet) is sarcastic or not.We model the problem using knowledge sources, a pre-trained language model on sentiment/emotion data and a dataset focused on intended sarcasm.Our submission ranked third place among 43 teams.In addition, we show a brief error analysis of our best model to investigate challenging examples for detecting sarcasm.