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Hate-speech-CNERG/malayalam-codemixed-abusive-MuRIL
malayalam-codemixed-abusive-MuRIL is a text classification model from Hate-speech-CNERG. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as afl-3.0.
This model is used to detect abusive speech in Code-Mixed Malayalam. It is finetuned on MuRIL model using Code-Mixed Malayalam abusive speech dataset. The model is trained with learning rates of 2e-5. Training code ca…
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From the Hugging Face model README
This model is used to detect abusive speech in Code-Mixed Malayalam. It is finetuned on MuRIL model using Code-Mixed Malayalam abusive speech dataset. The model is trained with learning rates of 2e-5. Training code can be found at this url
LABEL_0 :-> Normal
LABEL_1 :-> Abusive
Mithun Das, Somnath Banerjee and Animesh Mukherjee. "Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages". Accepted at ACM HT 2022.
Please cite our paper in any published work that uses any of these resources.
@article{das2022data,
title={Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages},
author={Das, Mithun and Banerjee, Somnath and Mukherjee, Animesh},
journal={arXiv preprint arXiv:2204.12543},
year={2022}
}