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 [BibTeX] [Marc21]
Leveraging Events Sub-Categories for Violent-Events Detection in Social Media
Type of publication: Conference paper
Citation: Vallejo-Aldana_IBERLEF2022_2022
Publication status: Published
Booktitle: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022)
Volume: 3202
Year: 2022
Month: September
URL: http://ceur-ws.org/Vol-3202/da...
Abstract: 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.
Projects Idiap
Authors Vallejo-Aldana, Daniel
López-Monroy, A. Pastor
Added by: [UNK]
Total mark: 0
  • Vallejo-Aldana_IBERLEF2022_2022.pdf