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3 papers
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…
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…
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…