I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter
| dc.contributor.author | Pachón Álvarez, Victoria | |
| dc.contributor.author | Mata Vázquez, Jacinto | |
| dc.contributor.author | López Betanzos, José Manuel | |
| dc.contributor.author | Arjona Fernández, José Luis | |
| dc.date.accessioned | 2024-12-11T07:52:31Z | |
| dc.date.available | 2024-12-11T07:52:31Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | This paper describes the systems developed for I2C Group to participate on Subtasks A and B in English, and Subtask A in Turkish and Arabic in OffensEval (Task 12 of SemEval 2020). In our experiments we compare three architectures we have developed, two based on Transformer and the other based on classical machine learning algorithms. In this paper, the proposed architectures are described, and the results obtained by our systems are presented. | es_ES |
| dc.description.department | Tecnologías de la Información | es_ES |
| dc.identifier.citation | Pachón Álvarez, V., Mata Vázquez, J., López Betanzos, J. M., & Arjona Fernández, J. L. (2020). I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter. In Proceedings of the Fourteenth Workshop on Semantic Evaluation (pp. 1968–1977). Proceedings of the Fourteenth Workshop on Semantic Evaluation. International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.259 | es_ES |
| dc.identifier.doi | 10.18653/v1/2020.semeval-1.259 | |
| dc.identifier.uri | https://hdl.handle.net/10272/24660 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | International Committee for Computational Linguistics | es_ES |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
| dc.subject.unesco | 3304 Tecnología de Los Ordenadores | es_ES |
| dc.title | I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | 47cb4892-3513-4d33-953c-8521bc9cb187 |
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