How does Catalan Named Entity Recognition work?
- Tokenization. This method segments text into individual tokens or words, making it easier to analyze specific entities.
- Part-of-Speech Tagging. This technique assigns parts of speech to each token, helping to identify the grammatical structure and context of entities.
- Named Entity Chunking. This method groups tokens into larger structures representing named entities, allowing for more precise identification of names and terms.
- Classification Algorithms. These algorithms classify the identified chunks into predefined categories like person, organization, or location, thus providing context to the entities.
