How does Latin Named Entity Recognition work?
- Rule-based Methods. These methods rely on predefined grammatical rules and patterns to identify entities in Latin texts.
- Statistical Methods. Statistical methods use machine learning algorithms to learn from examples and predict the entity types based on contextual clues.
- Dictionary-based Approaches. These approaches utilize dictionaries or gazetteers of known entities to match and classify entities found in text.
- Deep Learning Techniques. Deep learning techniques employ neural networks to automatically learn representations of entities and their contexts, enabling effective recognition.
