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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