| Resumen |
In this paper, we participate in the task of Detection of Aggressive and Violent INCIdents from Social Media in Spanish (DA-VINCIS). We apply a multi-task learning network, MT-DNN to train users' tweets on their text embeddings from pre-trained transformer models. In the first subtask, we obtained the best F1 of 74.80%, Precision of 75.52%, and Recall of 74.09%. Meanwhile, F1 of 39.20%, Precision of 37.79%, and Recall of 43.88% are results in the second subtask. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
