How does Tagalog Named Entity Recognition work?
- Rule-based methods. These methods use a set of handcrafted rules to identify entities based on patterns and keywords in the text.
- Statistical models. Statistical models, such as Conditional Random Fields (CRF), are trained on annotated datasets to learn the likelihood of sequence patterns.
- Deep learning techniques. Deep learning models, like recurrent neural networks (RNNs) and transformers, learn from large datasets to accurately predict entities in text.
- Hybrid approaches. Hybrid approaches combine rule-based and statistical methods to leverage the strengths of both techniques for improved accuracy.
