How does Lithuanian Named Entity Recognition work?
- Rule-based systems. This method uses predefined linguistic rules to identify entities based on their structure and context within the text.
- Machine learning models. These models are trained on annotated datasets to learn patterns and features that help in recognizing entities in unseen text.
- Deep learning approaches. Utilizing neural networks, this approach learns complex representations of the data, improving the accuracy of entity recognition.
- Hybrid methods. This approach combines rule-based and machine learning techniques to leverage the strengths of both for better entity recognition performance.
