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2022 ACL ACL 2022

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

Abstract

AbstractToxic 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.

🌉 Interdisciplinary Bridge — Deep Learning and Natural Language Processing
🧭 Keyword Pioneer — toxic span identification
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Hariharan LekshmiAmmal , Manikandan Ravikiran , Anand Kumar Madasamy

Topics

Deep Learning > Architectures > Transformers Natural Language Processing > Applications > Text Classification Natural Language Processing > Resources & Methods > Multilingual NLP Natural Language Processing > Applications > Named Entity Recognition

Keywords

text classification named entity recognition toxic content detection offensive language span identification offensive content detection tamil language span detection transformer model character level toxic span identification character f1-score
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