Abstract
Browsinfg 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. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Zhu, J., Uren, V., & Motta, E. (2005). ESpotter: Adaptive named entity recognition for web browsing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3782 LNAI, pp. 518–529). Springer Verlag. https://doi.org/10.1007/11590019_59
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