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. Professional Knowledge Management Conference (WM2005), 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
|Deposited By:||Zhu, Dr. Jianhan|
|Deposited On:||31 March 2006|
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