TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings
Rajalakshmi Sivanaiah, Angel Suseelan, S Milton Rajendram, T T Mirnalinee · 2020
This paper describes the work of identifying the presence of offensive language in social media posts and categorizing a post as targeted to a particular person or not.The work developed by team TECHSSN for solving the Multilingual Offensive Language Identification in Social Media (Task 12) in SemEval-2020 involves the use of deep learning models with BERT embeddings.The dataset is preprocessed and given to a Bidirectional Encoder Representations from Transformers (BERT) model with pretrained weight vectors.The model is retrained and the weights are learned for the offensive language dataset.We have developed a system with the English language dataset.The results are better when compared to the model we developed in SemEval-2019 Task6.