AKT EPrint Archive

ESpotter: Adaptive Named Entity Recognition for Web Browsing

Zhu, Dr. Jianhan and Uren, Dr. Victoria and Motta, Prof. Enrico (2005) ESpotter: Adaptive Named Entity Recognition for Web Browsing. In Althoff, Klaus-Dieter and Dengel, Andreas and Bergmann, Ralph and Nick, Markus and Roth-Berghofer, Thomas, Eds. Proceedings Professional Knowledge Management Conference (WM2005), pages pp. 518-529, Kaiserslautern, Germany.

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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.

Keywords:named entity recognition, domain adaptation, probabilities, information extraction, hierarchy
Subjects:AKT Challenges > Knowledge retrieval
AKT Challenges > Knowledge acquisition
ID Code:499
Deposited By:Zhu, Dr. Jianhan
Deposited On:04 April 2006
Alternative Locations:http://kmi.open.ac.uk/people/jianhan/zhuetal_WM.pdf

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