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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.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.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.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.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.uri | https://creativecommons.org/licenses/by/4.0 |
| dc.title | Automatic detection of sexism in social media with a multilingual approach |
| dc.type | info:eu-repo/semantics/conferenceObject |
| dc.subject.keyword | Natural Language Processing |
| dc.subject.keyword | Multilingual-BERT |
| dc.subject.keyword | sexism identification |
| dc.relation.projectID | info:eu-repo/grantAgreement/ES/2PE/PID2019-109066GB-I00 |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess |
| dc.type.version | info:eu-repo/semantics/publishedVersion |
