I2C at SemEval-2022 Task 6: Intended Sarcasm Detection on Social Networks with Deep Learning
Pablo Gonzalez Diaz, Pablo Cordon, Jacinto Mata Vázquez, Victoria Pachón · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
In this paper we present our approach and system description on iSarcasmEval: a SemEval task for intended sarcasm detection on social networks.This derives from our participation in SubTask A: Given a text, determine whether it is sarcastic or non-sarcastic.In our approach to complete the task, a comparison of several machine learning and deep learning algorithms using two datasets was conducted.The model which obtained the highest values of F1-score was a BERT-base-cased model.With this one, an F1-score of 0.2451 for the sarcastic class in the evaluation process was achieved.Finally, our team reached the 30 th position.