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 • 29 Aug 2023 • Debapriya Tula, Sujoy Paul, Gagan Madan, Peter Garst, Reeve Ingle, Gaurav Aggarwal
While text line recognition models are generally trained on large corpora of real and synthetic data, such models can still make frequent mistakes if the handwriting is inscrutable or the image acquisition process adds corruptions, such as noise, blur, compression, etc.
1 code implementation • 12 May 2022 • S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota, Shiv Ram Dubey
Later, in the second stage, the redundant filters are pruned from the fine-tuned CNN to decrease the network's complexity for the target task while preserving the performance.
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.