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.
no code implementations • 23 Nov 2020 • Rutwik Palaskar, Renu Vyas, Vilas Khedekar, Sangeeta Palaskar, Pranjal Sahu
In this work, we present the first results of neural networks for oral cancer detection using microscopic images.