How does Kyrgyz Named Entity Recognition work?
- Rule-Based Systems. This method uses predefined patterns and linguistic rules to identify named entities in text.
- Machine Learning. This technique involves training algorithms on labeled datasets to recognize named entities based on learned features.
- Deep Learning. Utilizing neural networks, deep learning approaches can automatically extract complex patterns in large datasets for more accurate entity recognition.
- Hybrid Models. Hybrid models combine rule-based and machine learning methods to improve the accuracy and reliability of named entity recognition systems.
