Named Entity Recognition (NER)
An NLP task that identifies and classifies named entities (persons, locations, organizations, etc.) in text.
In more detail
NER extracts specific entities and their types from unstructured text. Used for information extraction, question answering, and knowledge base construction. Approaches include rule-based, statistical, and neural methods.
Examples
- Extracting person names from articles
- Identifying companies in documents
- Location extraction for recommendations
- Medical entity recognition
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