I2C at SemEval-2022 Task 5: Identification of misogyny in internet memes
Pablo Cordon, Pablo Gonzalez Diaz, 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 Task 5 A in MAMI: Multimedia Automatic Misogyny Identification.In our experiments we compared several architectures based on deep learning algorithms with various other approaches to binary classification using Transformers, combined with a nudity image detection algorithm to provide better results.With this approach, we achieved a test accuracy of 0.665.