NITK-IT_NLP@TamilNLP-ACL2022: Transformer based model for Offensive Span Identification in Tamil

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. © 2022 Association for Computational Linguistics.