Overview of content related to 'named entity recognition'
This page provides an overview of 1 article related to 'named entity recognition'. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.
Named entity recognition (NER) (also known as entity identification and entity extraction) is a subtask of information extraction that seeks to locate and classify atomic elements in text into predefined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. State-of-the-art NER systems for English produce near-human performance. (Excerpt from Wikipedia article: Named entity recognition)
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