Named Entity Recognition
Named Entity Recognition (NER) is an NLP task that identifies and classifies key elements in text documents into predefined categories (such as names of people, organizations, locations, dates, or product codes).
Frequently Asked Questions
How do models perform NER?▼
By classifying token sequences using BiLSTMs with CRFs, or prompting LLMs to return entities as structured outputs.
What is an out-of-vocabulary entity in NER?▼
A brand name or location not present in the training vocabulary, which is handled using subword tokenization.
Quick Facts
- CategoryNatural Language Processing
- Key ApplicationDocument data extraction, search index tagging, and customer support classification.
Coverage Trend12 Weeks
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Named Entity Recognition Media Coverage & Intelligence
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