How does Indonesian Named Entity Recognition work?
- Rule-based Systems. These systems use handcrafted rules and patterns to identify entities based on linguistic structures and context.
- Statistical Models. Statistical models leverage machine learning techniques to learn from labeled datasets, improving entity recognition over time.
- Deep Learning Approaches. Deep learning methods, such as Recurrent Neural Networks (RNNs) and Transformers, are implemented to capture complex patterns and context in text data.
- Hybrid Methods. Hybrid methods combine rule-based and statistical approaches for improved accuracy and flexibility in recognizing entities.
