How does Gujarati Named Entity Recognition work?
- Rule-based Methods. These methods utilize predefined linguistic rules to identify named entities based on their syntactic and semantic patterns.
- Statistical Methods. Statistical approaches analyze large corpuses of annotated texts to learn patterns for entity recognition through probabilistic models.
- Machine Learning. Machine learning techniques, such as decision trees and support vector machines, are trained on labeled datasets to classify named entities in new texts.
- Deep Learning. Deep learning models, particularly recurrent neural networks (RNNs) and transformers, have shown promising results in high-accuracy entity recognition.
