Named Entity Recognition
A natural language processing task that automatically identifies and classifies key informational elements in text into predefined structured categories.
Think of It Like This
Like highlighting all the people in blue, locations in green, and organizations in yellow while reading a newspaper.
NER systems extract entities such as person names, organizations, locations, medical codes, and monetary values from unstructured text. Historically performed by Conditional Random Fields (CRFs), modern NER is typically handled by fine-tuned transformer models like BERT. It is a critical preprocessing step for knowledge graph construction.