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Overview of content related to 'natural language processing'

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This page provides an overview of 2 articles related to 'named entity recognition', listing most recently updated content first. 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.

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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)

Key statistics

Metadata related to 'named entity recognition' (as derived from all content tagged with this term):

  • Number of articles referring to 'named entity recognition': 8 (0.5% of published articles)
  • Total references to 'named entity recognition' across all Ariadne articles: 10
  • Average number of references to 'named entity recognition' per Ariadne article: 1.25
  • Earliest Ariadne article referring to 'named entity recognition': 1997-03
  • Trending factor of 'named entity recognition': 0 (see FAQs on monitoring of trends)

See our 'named entity recognition' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'named entity recognition' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'named entity recognition':

  1. sophia ananiadou (see articles on this topic by this author)
  2. john keane (see articles on this topic by this author)
  3. john mcnaught (see articles on this topic by this author)
  4. steve pettifer (see articles on this topic by this author)
  5. dean andrew jackson (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

Towards Interoperabilty of European Language Resources

Sophia Ananiadou and colleagues describe an ambitious new initiative to accelerate Europe-wide language technology research, helped by their work on promoting interoperability of language resources.

July 2011, issue67, feature article

The National Centre for Text Mining: Aims and Objectives

Sophia Ananiadou, Julia Chruszcz, John Keane, John McNaught and Paul Watry describe NaCTeM's plans to provide text mining services for UK academics.

January 2005, issue42, feature article

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by Dr. Radut