no code implementations • 19 Aug 2023 • Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Utkarsh Tyagi, Sakshi Singh, Sanjoy Chowdhury, Dinesh Manocha
This paper presents ASPIRE (Language-guided data Augmentation for SPurIous correlation REmoval), a simple yet effective solution for expanding the training dataset with synthetic images without spurious features.
no code implementations • FinNLP (COLING) 2020 • Vishal Keswani, Sakshi Singh, Ashutosh Modi
We leverage both context-dependent and context-independent word embeddings in our analysis.
1 code implementation • SEMEVAL 2020 • Vishal Keswani, Sakshi Singh, Suryansh Agarwal, Ashutosh Modi
In this paper, we present our approaches for the Memotion Analysis problem as posed in SemEval-2020 Task 8.