How does Slovak Named Entity Recognition work?
- Rule-Based NER. This method uses handcrafted rules and patterns to identify and classify entities in text based on linguistic features.
- Machine Learning. Employing algorithms that learn from annotated training data, this approach recognizes entities based on learned patterns and contexts.
- Deep Learning. Utilizing neural networks, deep learning methods provide more accurate recognition by processing text at multiple levels of abstraction.
- Hybrid Approaches. Combining rule-based and statistical methods, hybrid approaches enhance accuracy and robustness in identifying entities.
