Bitions@DravidianLangTech-EACL2021: Ensemble of Multilingual Language Models with Pseudo Labeling for offence Detection in Dravidian Languages

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).

Offense Detection in Dravidian Languages using Code-Mixing Index based Focal Loss

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.

Two Stage Transformer Model for COVID-19 Fake News Detection and Fact Checking

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.

Fact Checking Fake News Detection +2