How does Azerbaijani Named Entity Recognition work?
- Rule-based recognition. This method relies on handcrafted rules and dictionaries to identify entities based on patterns and specific keywords.
- Machine learning approaches. In this method, algorithms learn from annotated datasets to autonomously identify and classify entities based on contextual features.
- Deep learning techniques. Leveraging neural networks, deep learning models can capture complex patterns in data, significantly boosting the accuracy of entity recognition.
- Hybrid methods. This approach combines rule-based and machine learning techniques to achieve better performance through the strengths of both methods.
