How does Russian Named Entity Recognition work?
- Rule-based Systems. These systems employ handcrafted rules and patterns to identify named entities based on linguistic features.
- Statistical Models. Statistical models utilize probabilities derived from large corpora to predict entity boundaries and labels.
- Machine Learning. Machine learning techniques are applied to train models on annotated data to classify and identify entities within text.
- Deep Learning. Deep learning approaches, such as neural networks, analyze text at a deeper level to improve accuracy in recognizing complex entities.
