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Artificial intelligence / Statistics / Data mining / Information extraction / Document classification / World Wide Web / Information retrieval / Naive Bayes classifier / Ross Quinlan / Natural language processing / Science / Information science


Fact or ction: Content classication for digital libraries Aidan Finn Nicholas Kushmerick Barry Smyth
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Document Date: 2008-12-08 05:11:33

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City

Ontology / /

Company

Reuters / /

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Facility

University College Dublin / Aidan Finn Nicholas Kushmerick Barry Smyth Smart Media Institute / In building / /

IndustryTerm

project web-page / Web article / particular site / Web articles / search engines / erent web sites / overall solution / Web news articles / text extraction algorithm / extraction algorithm / text classi cation algorithm / /

Organization

Department of Computer Science / University College Dublin / Aidan Finn Nicholas Kushmerick Barry Smyth Smart Media Institute / U.S. Securities and Exchange Commission / /

Person

James Hendler / David Rager / Robert Doorenbos / Jason Rennie / Janyce M. Wiebe / Kristie Seymore / Dayne Freitag / Eric Brill / Oren Etzioni / Sean Luke / K. Nigam / Kamal Nigam / Dan DiPasquo / Daniel S. Weld / Nicholas Kushmerick / Andrew McCallum / Lee Spector / Ross Quinlan / Robwert D. Doorenbos / John M. Pierre / Mark Craven / Aidan Finn Nicholas / /

Position

author / Major / /

ProgrammingLanguage

HTML / /

PublishedMedium

Machine Learning / the Reuters news / /

Technology

1 This algorithm / text extraction algorithm / text classi cation algorithm / perl / machine learning / HTML / extraction algorithm / /

URL

http /

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