1 code implementation • EACL (DravidianLangTech) 2021 • Debapriya Tula, Prathyush Potluri, Shreyas Ms, Sumanth Doddapaneni, Pranjal Sahu, Rohan Sukumaran, Parth Patwa
Our model is able to handle code-mixed data as well as instances where the script used is mixed (for instance, Tamil and Latin).
no code implementations • 12 Nov 2021 • Debapriya Tula, Shreyas Ms, Viswanatha Reddy, Pranjal Sahu, Sumanth Doddapaneni, Prathyush Potluri, Rohan Sukumaran, Parth Patwa
To summarize, our model can handle offensive language detection in a low-resource, class imbalanced, multilingual and code-mixed setting.
1 code implementation • NLP4IF (COLING) 2020 • Rutvik Vijjali, Prathyush Potluri, Siddharth Kumar, Sundeep Teki
We evaluate a series of models based on classical text-based features to more contextual Transformer based models and observe that a model pipeline based on BERT and ALBERT for the two stages respectively yields the best results.