Richeek Das

2 accepted papers

2023

Improving Pretraining Techniques for Code-Switched NLP

Richeek Das, Sahasra Ranjan, Shreya Pathak, Preethi Jyothi

ACL 2023long

Pretrained models are a mainstay in modern NLP applications. Pretraining requires access to large volumes of unlabeled text. While monolingual text is readily available for many of the world’s languages, access to large quantities of code-switched text (i.e., text with tokens of multiple languages i…

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2022

Exploring Deeper Graph Convolutions for Semi-Supervised Node Classification

Ashish Tiwari, Richeek Das, Shanmuganathan Raman

ICASSP 2022accepted

Graph convolutional networks (GCNs) have achieved impressive performance in learning from graph-structured data. Although GCN and its variants have shown promising results, they continue to remain shallow as their performance drops with an increasing number of layers - a problem popularly known as o…

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