ESpotter: Adaptive Named Entity Recognition for Web Browsing

by: Jianhan Zhu, Victoria Uren, Enrico Motta

Professional Knowledge Management (2005), pp. 518-529.

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DOI, http://eprints.aktors.org/488/

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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.

@incollection{citeulike:1371452, 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.}, author = {Zhu, Jianhan and Uren, Victoria and Motta, Enrico }, citeulike-article-id = {1371452}, doi = {http://dx.doi.org/10.1007/11590019\_59}, journal = {Professional Knowledge Management}, keywords = {active-annotation, adaptive-web, browsing, lexicons, named-entity-recognition, pattern-recognition}, pages = {518--529}, posted-at = {2007-06-07 23:36:28}, priority = {0}, title = {ESpotter: Adaptive Named Entity Recognition for Web Browsing}, url = {http://dx.doi.org/10.1007/11590019\_59}, year = {2005} }

RIS record

TY - CHAP ID - citeulike:1371452 L3 - citeulike-article-id:1371452 TI - ESpotter: Adaptive Named Entity Recognition for Web Browsing JF - Professional Knowledge Management SP - 518 EP - 529 N2 - 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. KW - active-annotation KW - adaptive-web KW - browsing KW - lexicons KW - named-entity-recognition KW - pattern-recognition AU - Zhu, Jianhan AU - Uren, Victoria AU - Motta, Enrico PY - 2005/// UR - http://dx.doi.org/10.1007/11590019_59 ER -

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