How does Croatian Named Entity Recognition work?
- Rule-based methods. These methods use predefined patterns and linguistic rules to identify named entities in text. They rely heavily on dictionaries and grammar.
- Statistical models. Statistical models train on labeled data to learn patterns of named entities in context, making predictions based on probability.
- Machine learning. Machine learning techniques, such as CRF (Conditional Random Fields), are utilized to classify parts of text based on features extracted during training.
- Deep learning. Deep learning approaches, particularly using neural networks, can provide state-of-the-art performance by learning to recognize entities from large datasets.
