How does Vietnamese Named Entity Recognition work?
- Rule-based approaches. These methods rely on predefined rules and patterns to identify named entities in Vietnamese text.
- Statistical models. Statistical models use algorithms and training data to learn how to recognize named entities based on contextual information.
- Machine learning techniques. Machine learning techniques train models on annotated data to improve the accuracy of entity recognition over time.
- Deep learning approaches. Deep learning approaches leverage neural networks to automatically extract features and recognize complex patterns in Vietnamese text.
