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        <title>TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings</title>
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        <namePart type="given">Rajalakshmi</namePart>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings
%A Sivanaiah, Rajalakshmi
%A Suseelan, Angel
%A Rajendram, S. Milton
%A T.t., Mirnalinee
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F sivanaiah-etal-2020-techssn
%X 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.
%R 10.18653/v1/2020.semeval-1.291
%U https://aclanthology.org/2020.semeval-1.291
%U https://doi.org/10.18653/v1/2020.semeval-1.291
%P 2190-2196

Markdown (Informal)

[TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings](https://aclanthology.org/2020.semeval-1.291) (Sivanaiah et al., SemEval 2020)

• TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings (Sivanaiah et al., SemEval 2020)

ACL

• Rajalakshmi Sivanaiah, Angel Suseelan, S Milton Rajendram, and Mirnalinee T.t.. 2020. TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 2190–2196, Barcelona (online). International Committee for Computational Linguistics.