| Resumen |
In this paper, we address Subtask 1 of Detection of Aggressive and Violent INCIdents from Social Media in Spanish (DA-VINCIS). We introduced our method, using text embeddings from pre-trained transformer models for the training process by GAN-BERT, an adversarial learning architecture. Finally, we obtained F1 of 74.43%, Precision of 74.08%, and Recall of 74.79% on Subtask 1. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
