ESpotter: adaptive named entity recognition for web browsing

Zhu, Jianhan; Uren, Victoria and Motta, Enrico (2005). ESpotter: adaptive named entity recognition for web browsing. In: Professional Knowledge Management, Lecture Notes in Computer Science, Springer, Berlin, pp. 518–529.

DOI: https://doi.org/10.1007/11590019_59

Abstract

Browsing constitutes an important part of the user information searching process on the Web. In this paper, we present a browser plug-in called ESpotter, which recognizes entities of various types on Web pages and highlights them according to their types to assist user browsing. ESpotter uses a range of standard named entity recognition techniques. In addition, a key new feature of ESpotter is that it addresses the problem of multiple domains on the Web by adapting lexicon and patterns to these domains.

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About

  • Item ORO ID
  • 9333
  • Item Type
  • Conference or Workshop Item
  • ISBN
  • 3-540-30465-7, 978-3-540-30465-4
  • ISSN
  • 0302-9743
  • Extra Information
  • Published in 'Professional Knowledge Management', Lecture Notes in Computer Science, sublibrary Lecture Notes in Artificial Intelligence, Volume 3782, 2005, pp. 518-529. ISBN: 3-540-30465-7.

    Prototype demostrated at two earlier conferences:
    Jianhan Zhu, Victoria Uren, and Enrico Motta. ESpotter: A Prototype System for Adaptive Named Entity Recognition Supporting Web Browsing. The Fifteenth ACM Conference on Hypertext and Hypermedia (Hypertext'04), Santa Cruz, USA, August 9-13, 2004.

    Jianhan Zhu, Victoria Uren, and Enrico Motta. ESpotter: A Prototype System for Adaptive Named Entity Recognition Supporting Web Browsing. The Fourteenth International Conference on Knowledge Engineering and Knowledge Management (EKAW'2004), Whittlebury Hall, Northamptonshire, UK, October 5-8, 2004.
  • Academic Unit or School
  • Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
    Faculty of Science, Technology, Engineering and Mathematics (STEM)
  • Research Group
  • Centre for Research in Computing (CRC)
  • Copyright Holders
  • © 2005 Springer-Verlag Berlin Heidelberg
  • Related URLs
  • Depositing User
  • Users 6898 not found.

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