3 citations · 3 across the 3 of their papers we have counts for
3 papers · 1 filter
On Importance of Pruning and Distillation for Efficient Low Resource NLP
Aishwarya Mirashi, Purva Lingayat, Srushti Sonavane +3
The rise of large transformer models has revolutionized Natural Language Processing, leading to significant advances in tasks like text classification. However, this progress deman…
SenTest: Evaluating Robustness of Sentence Encoders
Tanmay Chavan, Shantanu Patankar, Aditya Kane +3
Contrastive learning has proven to be an effective method for pre-training models using weakly labeled data in the vision domain. Sentence transformers are the NLP counterparts to…
Robust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi
Aabha Pingle, Aditya Vyawahare, Isha Joshi +3
Sentiment analysis plays a crucial role in understanding the sentiment expressed in text data. While sentiment analysis research has been extensively conducted in English and other…