How does Somali Named Entity Recognition work?
- Rule-based methods. These involve using a set of handcrafted rules to identify and classify entities based on patterns in the text.
- Machine learning methods. This approach uses annotated datasets to train models that can recognize entities from context without predefined rules.
- Deep learning methods. Utilizing neural networks, particularly architectures like LSTMs and Transformers, these methods learn complex patterns in large datasets to improve NER accuracy.
- Hybrid methods. Combining various approaches, hybrid methods leverage both rule-based and machine learning techniques to improve performance in diverse scenarios.
