How does Spanish Named Entity Recognition work?
- Rule-based Methods. These methods rely on handcrafted rules and linguistic patterns to identify named entities in a text.
- Statistical Models. Statistical approaches use machine learning algorithms trained on labeled data to learn how to identify entities based on their context.
- Deep Learning Techniques. Deep learning approaches leverage neural networks to automatically learn features from the text, often achieving higher accuracy than traditional methods.
- Hybrid Approaches. Hybrid methods combine both rule-based and machine learning techniques to enhance the precision and recall of entity recognition.
