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SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification

1 Feb 2021EACL (DravidianLangTech) 2021 4arXiv:2102.01051archive 2025-07-28

Sai Muralidhar Jayanthi, Akshat Gupta

In this paper we present our submission for the EACL 2021-Shared Task on Offensive Language Identification in Dravidian languages. Our final system is an ensemble of mBERT and XLM-RoBERTa models which leverage task-adaptive pre-training of multilingual BERT models with a masked language modeling objective. Our system was ranked 1st for Kannada, 2nd for Malayalam and 3rd for Tamil.

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murali1996/eacl2021-OffensEval-Dravidian officialmentioned in paperpytorch report

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Language Identification Language Modeling Language Modelling Masked Language Modeling

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Adam Attention Attention Dropout BERT Dense Connections Dropout Layer Normalization Linear Layer Linear Warmup With Linear Decay Multi-Head Attention Residual Connection Softmax Weight Decay WordPiece mBERT

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