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 elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc.Most research on NER systems has been structured as taking an unannotated block of text, such as this one:Jim bought 300 shares of Acme Corp. in 2006.And producing an annotated block of text that highlights the names of entities:[Jim]Person bought 300 shares of [Acme Corp.]Organization in [2006]Time.
Posts about Named Entity Recognition
  • Patterns Among Templates Lead to Clues About Entities

    … the Web. One of the places where Google learns about the Web is by looking at patterns that appear upon it in relation to certain types of content. This goes back to Sergey Brin’s DIPRE algorithm, described in Extracting Patterns and Relations from the World Wide Web So what if Google used templates from sources such as Wikipedia and other websites…

    Bill Slawski/ SEO by the Seain Google- 6 readers -