Automatic detection of sexism in social media with a multilingual approach

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• dc.contributor.author Altin, Lutfiye Seda Mut
• dc.contributor.author Saggion, Horacio
• dc.date.accessioned 2022-10-06T05:47:49Z
• dc.date.available 2022-10-06T05:47:49Z
• dc.date.issued 2021
• dc.description Comunicació presentada a: Iberian Languages Evaluation Forum (IberLEF 2021), celebrat el 21 de setembre de 2021 de manera virtual
• dc.description.abstract This 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.
• dc.description.sponsorship Our work is partly supported from the project Context-aware Multilingual Text Simplification (ConMuTeS) PID2019-109066GB-I00/AEI/10.13039/501100011033 awarded by Ministerio de Ciencia, Innovaci´on y Universidades (MCIU) and by Agencia Estatal de Investigaci´on (AEI) of Spain.
• dc.format.mimetype application/pdf
• dc.identifier.citation Altin 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].
• dc.identifier.uri http://hdl.handle.net/10230/54285
• dc.language.iso eng
• dc.publisher CEUR Workshop Proceedings
• dc.relation.ispartof Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021); 2021 Sep 21; Málaga, Espanya. [Málaga]: CEUR Workshop Proceedings Series;2021. p. [415-9].
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2019-109066GB-I00
• dc.rights Copyright © 2021 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri https://creativecommons.org/licenses/by/4.0
• dc.subject.keyword Natural Language Processing
• dc.subject.keyword Multilingual-BERT
• dc.subject.keyword sexism identification
• dc.title Automatic detection of sexism in social media with a multilingual approach
• dc.type info:eu-repo/semantics/conferenceObject
• dc.type.version info:eu-repo/semantics/publishedVersion