How does Ukrainian Named Entity Recognition work?
- Rule-based NER. This technique relies on hand-crafted rules and patterns to identify named entities in text based on linguistic features.
- Statistical Models. These models utilize statistical methods to learn from labeled data, allowing the classification of entities based on patterns in the input text.
- Machine Learning. Machine learning approaches train algorithms on annotated datasets to recognize entities in natural language, improving accuracy over time.
- Deep Learning. Deep learning techniques, such as neural networks, are employed to achieve a high level of accuracy in named entity recognition by learning complex features from large datasets.
