BERT-based models vs. large language models for low-resource named entity recognition: a comparative study on Marathi
Read the original at arxiv.org→arXiv:2607.23344v1 Announce Type: new Abstract: Named Entity Recognition (NER) for low-resource languages such as Marathi remains a challenging task due to limited annotated resources and linguistic complexity....
Original headline: "BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi"
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- Jul 28, 04:00 UTC arXiv cs.CL lead source BERT-based Models vs. Large Language Models for Low-Resource Named Entity Recognition: A Comparative Study on Marathi