How does Basque Named Entity Recognition work?
- Rule-Based Approaches. These methods rely on predefined sets of linguistic rules to identify entities. They are easy to implement but may lack flexibility.
- Statistical Methods. Statistical NER techniques use machine learning models trained on annotated datasets to learn patterns and classify entities more effectively.
- Deep Learning Approaches. Deep learning models, particularly those based on recurrent neural networks (RNN) or transformers, offer state-of-the-art performance by learning complex patterns and features in data.
- Hybrid Approaches. Hybrid methods combine rule-based, statistical, and deep learning techniques to leverage the strengths of each, achieving better accuracy and robustness in entity recognition.
