How does Dutch Named Entity Recognition work?
- Rule-Based Systems. These systems use predefined rules and lexicons to identify entities, relying heavily on patterns and regular expressions.
- Machine Learning. Machine learning approaches train models on annotated datasets to recognize entities based on context and features extracted from the text.
- Deep Learning. Deep learning utilizes neural networks to automatically learn representations and features for identifying named entities with high accuracy.
- Hybrid Systems. Hybrid systems combine rule-based and machine learning techniques to leverage the strengths of both approaches for better performance.
