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ESpotter: Adaptive Named Entity Recognition for Web Browsing

Identifieur interne : 001117 ( Istex/Corpus ); précédent : 001116; suivant : 001118

ESpotter: Adaptive Named Entity Recognition for Web Browsing

Auteurs : Jianhan Zhu ; Victoria Uren ; Enrico Motta

Source :

RBID : ISTEX:63B72C1F323949CB9369C0C7A0CCA26A720AA450

Abstract

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.

Url:
DOI: 10.1007/11590019_59

Links to Exploration step

ISTEX:63B72C1F323949CB9369C0C7A0CCA26A720AA450

Le document en format XML

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<p>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.</p>
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<Para>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.</Para>
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<name type="personal">
<namePart type="given">Andreas</namePart>
<namePart type="family">Dengel</namePart>
<affiliation>Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Kaiserslautern, Germany</affiliation>
<affiliation>E-mail: Andreas.Dengel@dfki.de</affiliation>
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<namePart type="given">Ralph</namePart>
<namePart type="family">Bergmann</namePart>
<affiliation>Department of Business Information Systems II, University of Trier, Trier, Germany</affiliation>
<affiliation>E-mail: bergmann@uni-trier.de</affiliation>
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<name type="personal">
<namePart type="given">Markus</namePart>
<namePart type="family">Nick</namePart>
<affiliation>Department for Experience Management, Fraunhofer Institute for Experimental Software Engineering, Kaiserslautern</affiliation>
<affiliation>E-mail: nick@iese.fraunhofer.de</affiliation>
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<roleTerm type="text">editor</roleTerm>
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<name type="personal">
<namePart type="given">Thomas</namePart>
<namePart type="family">Roth-Berghofer</namePart>
<affiliation>Knowledge Management Department, German Research Center for Artificial Intelligence (DFKI) GmbH, Trippstadter Straße 122, 67663, Kaiserslautern, Germany</affiliation>
<affiliation>E-mail: Thomas.Roth-Berghofer@dfki.de</affiliation>
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<identifier type="ISSN">0302-9743</identifier>
<identifier type="eISSN">1611-3349</identifier>
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<identifier type="DOI">10.1007/11590019_59</identifier>
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