How does Icelandic Named Entity Recognition work?
- Rule-Based Approaches. These methods utilize handcrafted rules to identify named entities based on specific patterns within the text.
- Statistical Models. Statistical models apply machine learning algorithms that learn from annotated datasets to predict and classify entities.
- Deep Learning Techniques. Deep learning methods utilize neural networks, allowing the model to understand complex patterns in large datasets for improved accuracy.
- Hybrid Approaches. Hybrid approaches combine rule-based methods and machine learning to leverage the strengths of both techniques for enhanced entity recognition.
