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Found 4 papers, 1 papers with code
Reimplementation of Learning to Reweight Examples for Robust Deep Learning
Deep neural networks (DNNs) have been used to create models for many complex analysis problems like image recognition and medical diagnosis.
Enhancing Low Resource NER Using Assisting Language And Transfer Learning
Named Entity Recognition (NER) is a fundamental task in NLP that is used to locate the key information in text and is primarily applied in conversational and search systems.
L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
Named Entity Recognition (NER) is a basic NLP task and finds major applications in conversational and search systems.
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition
In this work, we consider NER for low-resource Indian languages like Hindi and Marathi.
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