most citedRobust Sentiment Analysis for Low Resource languages Using Data Augmentation Approaches: A Case Study in Marathi

3 citations · 3 across the 5 of their papers we have counts for

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5 papers

cs.DC2024

Multi Armed Bandit Algorithms Based Virtual Machine Allocation Policy for Security in Multi-Tenant Distributed Systems

Pravin Patil, Geetanjali Kale, Tanmay Karmarkar +1

This work proposes a secure and dynamic VM allocation strategy for multi-tenant distributed systems using the Thompson sampling approach. The method proves more effective and secur…

cs.AI2024

Automated Assessment of Multimodal Answer Sheets in the STEM domain

Rajlaxmi Patil, Aditya Ashutosh Kulkarni, Ruturaj Ghatage +3

In the domain of education, the integration of,technology has led to a transformative era, reshaping traditional,learning paradigms. Central to this evolution is the automation,of…

cs.CL2024

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…

cs.CL2024

TextGram: Towards a better domain-adaptive pretraining

Sharayu Hiwarkhedkar, Saloni Mittal, Vidula Magdum +4

For green AI, it is crucial to measure and reduce the carbon footprint emitted during the training of large language models. In NLP, performing pre-training on Transformer models r…

cs.CL20233 cited

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…