How does Uzbek Named Entity Recognition work?
- Tokenization. This method splits the text into individual words or tokens, making it easier to analyze each part of the text for entities.
- Part-of-Speech Tagging. This technique involves labeling words according to their part of speech, helping to identify potential entities based on their grammatical roles.
- Machine Learning Models. Using supervised or unsupervised learning, these models are trained on annotated data to recognize patterns and classify entities accurately.
- Rule-based Approaches. This method applies specific linguistic rules to identify entities based on their structure or context, providing a reliable way to extract information.
