3 papers
cs.CL2024
Long Range Named Entity Recognition for Marathi Documents
Pranita Deshmukh, Nikita Kulkarni, Sanhita Kulkarni +3
The demand for sophisticated natural language processing (NLP) methods, particularly Named Entity Recognition (NER), has increased due to the exponential growth of Marathi-language…
cs.CL2024
L3Cube-MahaSum: A Comprehensive Dataset and BART Models for Abstractive Text Summarization in Marathi
Pranita Deshmukh, Nikita Kulkarni, Sanhita Kulkarni +2
We present the MahaSUM dataset, a large-scale collection of diverse news articles in Marathi, designed to facilitate the training and evaluation of models for abstractive summariza…
cs.CL2024
Leveraging Parameter Efficient Training Methods for Low Resource Text Classification: A Case Study in Marathi
Pranita Deshmukh, Nikita Kulkarni, Sanhita Kulkarni +2
With the surge in digital content in low-resource languages, there is an escalating demand for advanced Natural Language Processing (NLP) techniques tailored to these languages. BE…