How does Hindi Named Entity Recognition work?
- Rule-based systems. Rule-based systems use predefined patterns and rules to identify named entities in text.
- Statistical methods. Statistical methods employ algorithms that learn from data to predict entities, often utilizing models like CRF or HMM.
- Machine learning approaches. Machine learning approaches involve training models on annotated datasets to recognize named entities based on contextual features.
- Deep learning techniques. Deep learning techniques leverage neural networks to achieve higher accuracy in entity recognition through advanced feature extraction.
