How does Kurdish Named Entity Recognition work?
- Rule-based methods. These methods use predefined linguistic rules and dictionaries to identify entities in the text.
- Statistical models. Statistical models apply probabilistic techniques to determine the likelihood of a segment of text being an entity based on learned patterns from annotated corpora.
- Machine learning techniques. Machine learning techniques utilize algorithms that learn from labeled datasets to classify and extract named entities.
- Deep learning approaches. Deep learning approaches leverage neural networks to process and understand the context of entities in texts, typically providing higher accuracy.
