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Named Entity Recognition (NER)
NLP & Language Models
Identification of named entities (person, place, organization).
Named Entity Recognition (NER) identifies and classifies proper names in text, such as people, locations, and companies.
- Use: Structuring unstructured text for search and analytics.
- Methods: Sequence labeling, CRFs, BiLSTM-CRF, transformer-based models.
- Examples: Extracting company names from news articles.