How does Tajik Named Entity Recognition work?
- Rule-based NER. This method uses predefined rules and patterns to identify entities based on linguistic features and structures.
- Machine Learning-based NER. This approach uses algorithms and models trained on labeled datasets to classify tokens in text as specific entities.
- Deep Learning-based NER. Leveraging neural networks, this method captures complex patterns in data, allowing for higher accuracy in entity recognition.
- Hybrid NER. A combination of rule-based and machine learning techniques, this approach aims to enhance the recognition capability by leveraging the strengths of both methods.
