WADER at SemEval-2023 Task 9: A Weak-labelling framework for Data augmentation in tExt Regression Tasks

no code implementations • 5 Mar 2023 • Manan Suri, Aaryak Garg, Divya Chaudhary, Ian Gorton, Bijendra Kumar

WADER uses data augmentation to address the problems of data imbalance and data scarcity and provides a method for data augmentation in cross-lingual, zero-shot tasks.

Data Augmentation regression

Recommending Researchers in Machine Learning based on Author-Topic Model

no code implementations • 5 Sep 2021 • Deepak Sharma, Bijendra Kumar, Satish Chand

The dataset is broken down into 4 intervals to identify the top researchers and find similar researchers using their similarity score.

BIG-bench Machine Learning