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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Zhu, J., Uren, V., Motta, E. (2005). ESpotter: Adaptive Named Entity Recognition for Web Browsing. In: Althoff, KD., Dengel, A., Bergmann, R., Nick, M., Roth-Berghofer, T. (eds) Professional Knowledge Management. WM 2005. Lecture Notes in Computer Science(), vol 3782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590019_59
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DOI: https://doi.org/10.1007/11590019_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30465-4
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