5 citations · 6 across the 12 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CL2024
Fine-tuning Pre-trained Named Entity Recognition Models For Indian Languages
Sankalp Bahad, Pruthwik Mishra, Karunesh Arora +3
Named Entity Recognition (NER) is a useful component in Natural Language Processing (NLP) applications. It is used in various tasks such as Machine Translation, Summarization, Info…
cs.CL2024
Exploring News Summarization and Enrichment in a Highly Resource-Scarce Indian Language: A Case Study of Mizo
Abhinaba Bala, Ashok Urlana, Rahul Mishra +1
Obtaining sufficient information in one's mother tongue is crucial for satisfying the information needs of the users. While high-resource languages have abundant online resources,…