language-icon Old Web
English
Sign In

Named-entity recognition

Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.Jim bought 300 shares of Acme Corp. in 2006.Person bought 300 shares of Organization in Time. Named-entity recognition (NER) (also known as entity identification, entity chunking and entity extraction) is a subtask of information extraction that seeks to locate and classify named entity mentions in unstructured text into pre-defined categories such as the person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.

[ "Information retrieval", "Machine learning", "Artificial intelligence", "Natural language processing", "task", "named entity classification", "named entity detection", "Truecasing", "Margin Infused Relaxed Algorithm" ]
Parent Topic
Child Topic
    No Parent Topic