How does German Named Entity Recognition work?
- Rule-based NER. This method uses predefined rules and patterns to identify named entities in text. It's effective for structured and predictable language.
- Statistical NER. Statistical methods rely on machine learning algorithms trained on labeled datasets to recognize named entities based on context and features.
- Neural Network-based NER. Utilizing deep learning techniques, this approach models the relationships in text data and identifies entities with high accuracy.
- Transfer Learning. Transfer learning leverages pre-trained models on larger datasets to improve entity recognition performance on specific German language tasks.
