How does Finnish Named Entity Recognition work?
- Statistical Models. Statistical models analyze language patterns and probability distributions to identify named entities based on context.
- Rule-Based Systems. Rule-based systems employ handcrafted rules and heuristics to recognize specific terms and structures common in Finnish.
- Machine Learning. Machine learning techniques leverage large datasets to train models that can recognize and classify entities with high accuracy.
- Deep Learning. Deep learning utilizes neural networks to automatically learn feature representations for improved entity recognition performance.