ModelRefs / Named Entity Recognition (NER) — AI Glossary
Named Entity Recognition (NER) — AI Glossary
Identifying and categorizing named entities (persons, organizations, locations, dates) in text. Traditional: fine-tuned BERT/RoBERTa on CoNLL-2003.
Overview
NER is a foundational NLP task: token-level classification into entity types (PER, ORG, LOC, DATE, PRODUCT). Traditional: fine-tuned BERT/RoBERTa on CoNLL-2003. LLM-based: zero-shot NER via prompting achieves near-SoTA without labeled data. Used in legal document analysis, news extraction, and medical record processing.
Reference details
| Topic | applications |
|---|---|
| Also known as | NER, entity recognition |
| Last reviewed | 2026-06-24 |
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Frequently asked questions
What is Named Entity Recognition (NER)?
Identifying and categorizing named entities (persons, organizations, locations, dates) in text.
Is Named Entity Recognition (NER) the same as NER?
Yes — NER, entity recognition are common aliases for Named Entity Recognition (NER).
What concepts are related to Named Entity Recognition (NER)?
Closely related concepts include information extraction, text classification, pii detection.