How does Khmer Named Entity Recognition work?
- Rule-based Methods. These methods use a set of handcrafted rules and patterns to identify entities in text. They rely on linguistic knowledge and are often domain-specific.
- Machine Learning. Machine learning techniques train models on labeled datasets to recognize entities. They can adapt to different contexts and are more flexible than rule-based methods.
- Deep Learning. Deep learning models, particularly recurrent neural networks (RNNs) and transformers, learn complex patterns in data and can achieve high accuracy in recognizing entities in large datasets.
- Hybrid Approaches. Hybrid approaches combine rule-based methods and machine learning to leverage the strengths of both, often resulting in improved accuracy and robustness in entity recognition.
