Named-entity recognition is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.
This repositary contains codes for different papers for Named-Entity-Recognition on Indian languages. Codes would be uploaded soon.
- Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition.
Click to read the paper - L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models
Click to read the paper, Click to view dataset, Use the model