Altin, Lutfiye Seda MutSaggion, Horacio2022-10-062022-10-062021Altin LSM, Saggion H. Automatic detection of sexism in social media with a multilingual approach. In: Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021); 2021 Sep 21; Málaga, Espanya. [Málaga]: CEUR Workshop Proceedings Series;2021. p. [415-9].http://hdl.handle.net/10230/54285Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2021), celebrat el 21 de setembre de 2021 de manera virtualThis paper describes the participation of the LaSTUS/TALN team in the shared task EXIST: sEXism Identification in Social neTworks at IberLEF 2021. EXIST promotes the development of classification systems able to spot sexism in social media posts in English and Spanish. More specifically a binary classification task is proposed to classify posts in either sexist or not sexist, while a multi-class task challenges systems to identify the type of sexism present in the post. We address the two tasks with a transformers-based system applying a multi-lingual BERT model. The paper reports and discusses the results obtained by our team.application/pdfengCopyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)info:eu-repo/semantics/conferenceObjectNatural Language ProcessingMultilingual-BERTsexism identificationinfo:eu-repo/semantics/openAccess