ESpotter: adaptive named entity recognition for web browsing

Authors:
Jianhan Zhu;Victoria Uren;Enrico Motta
Affiliations:
Knowledge Media Institute, The Open University, Milton Keynes, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK;Knowledge Media Institute, The Open University, Milton Keynes, UK
Venue:
WM'05 Proceedings of the Third Biennial conference on Professional Knowledge Management
Year:
2005

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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.