Core Concepts
Entities
In NLP, entities are real-world objects that can be named and categorized: people, organizations, locations, dates, products, and events. Named Entity Recognition (NER) is the task of identifying and classifying these elements within text.
Entities are fundamental to knowledge graphs, search engine understanding, and AI answer generation. A model with strong entity knowledge produces more accurate, attributable responses.
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Related Terms
Techniques & Methods
Named Entity Recognition (NER)
Identifying and classifying named entities in text into predefined categories like people and places.
Techniques & Methods
Entity Extraction
Identifying and classifying named entities—people, places, organizations—within text.
Techniques & Methods
Entity Annotation
Labeling text spans with entity type information to create structured training data.
Core Concepts
Natural Language Processing (NLP)
Field focused on enabling computer-human interaction through natural language.