How does Swedish Named Entity Recognition work?
- Conditional Random Fields. A statistical modeling method often used for sequence prediction, particularly useful in NER for labeling sequences of words with corresponding entity tags.
- Deep Learning Techniques. Using neural networks to automatically learn representations and patterns from data, deep learning has shown to significantly improve the accuracy of NER tasks.
- Rule-based Methods. These methods use a set of handcrafted rules to identify entities based on linguistic patterns and regular expressions, providing a straightforward way to implement NER.
- Transformer Models. Transformer-based architectures, such as BERT, have revolutionized NER by enabling models to understand context and semantics at an unprecedented level.
