How does Persian Named Entity Recognition work?
- Rule-based Systems. These systems use predefined rules to identify named entities based on linguistic features.
- Statistical Models. Statistical models rely on probabilities derived from training data to predict the presence of named entities.
- Machine Learning Algorithms. Machine learning algorithms are trained on annotated corpora to learn patterns and accurately identify named entities.
- Deep Learning Approaches. Deep learning approaches leverage neural networks to model complex patterns in language, improving accuracy in entity recognition.
