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.
Cite
CITATION STYLE
Álvarez, V. P., Vázquez, J. M., Betanzos, J. M. L., & Fernández, J. L. A. (2020). I2C at SemEval-2020 Task 12: Simple but Effective Approaches to Offensive Speech Detection in Twitter. In 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings (pp. 1968–1977). International Committee for Computational Linguistics. https://doi.org/10.18653/v1/2020.semeval-1.259
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