CONF Vallejo-Aldana_IBERLEF2022_2022/IDIAP Leveraging Events Sub-Categories for Violent-Events Detection in Social Media Vallejo-Aldana, Daniel López-Monroy, A. Pastor Villatoro-Tello, Esaú EXTERNAL http://publications.idiap.ch/attachments/papers/2022/Vallejo-Aldana_IBERLEF2022_2022.pdf PUBLIC Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) 3202 2022 http://ceur-ws.org/Vol-3202/davincis-paper3.pdf URL This paper describes our participation in the shared evaluation campaign of DA-VINCIS@IberLEF 2022. In this work, we addressed the Violent Event Identification (VEI) task by exploiting Bidirectional Encoder Representations from Transformers (BERT) in combination with Multi-Task learning approaches. Our results indicate that the proposed architecture is able to leverage information about the crime categories for effectively detect the mention of a violent act within a tweet. Our approach obtained the best performance (F1=0.77) among 11 different teams and a total of 32 different submissions.