How does Corsican Named Entity Recognition work?
- Rule-based methods. These methods rely on predefined sets of linguistic rules and patterns to identify entities in the text.
- Machine learning approaches. Using annotated datasets, these methods train models to recognize entities based on their features and context within the text.
- Deep learning techniques. By utilizing neural networks, these techniques can automatically learn to identify complex entity patterns in the text, improving accuracy.
- Hybrid approaches. These methods combine rule-based and machine learning techniques to leverage the strengths of both, resulting in more robust entity recognition.
