Abstract
Offensive Span identification in Tamil is a shared task that focuses on identifying harmful content, contributing to offensiveness. In this work, we have built a model that can efficiently identify the span of text contributing to offensive content. We have used various transformer-based models to develop the system, out of which the fine-tuned MuRIL model was able to achieve the best overall character F1-score of 0.4489.
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CITATION STYLE
LekshmiAmmal, H. R. I., Ravikiran, M., & Madasamy, A. K. (2022). NITK-IT_NLP@TamilNLP-ACL2022: Transformer based model for Offensive Span Identification in Tamil. In DravidianLangTech 2022 - 2nd Workshop on Speech and Language Technologies for Dravidian Languages, Proceedings of the Workshop (pp. 75–78). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2022.dravidianlangtech-1.12
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