ESpotter: Adaptive Named Entity Recognition for Web Browsing

  • Jianhan Zhu
  • Victoria Uren
  • Enrico Motta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3782)


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.


Name Entity Recognition Entity Recognition Text Segment Name Entity Recognition System Lexicon Entry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jianhan Zhu
    • 1
  • Victoria Uren
    • 1
  • Enrico Motta
    • 1
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynesUK

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