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    ICDM
    2008
    IEEE
    147views Data Mining» more  ICDM 2008»
    Clustering Documents with Active Learning Using Wikipedia
    14 years 1 months ago
    Clustering Documents with Active Learning Using Wikipedia
    Download  www.cs.waikato.ac.nz
    Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
    Anna Huang, David N. Milne, Eibe Frank, Ian H. Wit...
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    ICDAR
    2011
    IEEE
    177views Document Analysis» more  ICDAR 2011»
    Chinese Keyword Spotting Using Knowledge-Based Clustering
    12 years 6 months ago
    Chinese Keyword Spotting Using Knowledge-Based Clustering
    Download  www.icdar2011.org
    —Content-based document image retrieval is a new and promising research area. Without OCR, document indexing directly based on image content is more general and convenient. Howev...
    Yong Xia, Kuanquan Wang, Mingwei Li
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    SEMCO
    2008
    IEEE
    77views Applied Computing» more  SEMCO 2008»
    Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
    14 years 1 months ago
    Non-parametric Statistical Learning Methods for Inductive Classifiers in Semantic Knowledge Bases
    Download  www.di.uniba.it
    Claudia d'Amato, Nicola Fanizzi, Floriana Esposito
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    NAACL
    2007
    232views Computational Linguistics» more  NAACL 2007»
    Creating a Knowledge Base from a Collaboratively Generated Encyclopedia
    13 years 8 months ago
    Creating a Knowledge Base from a Collaboratively Generated Encyclopedia
    Download  www.aclweb.org
    We present our work on using Wikipedia as a knowledge source for Natural Language Processing. We first describe our previous work on computing semantic relatedness from Wikipedia...
    Simone Paolo Ponzetto
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    KRDB
    1994
    81views Database» more  KRDB 1994»
    Frames, Objects and Relations: Three Semantic Levels for Knowledge Base Systems
    13 years 8 months ago
    Frames, Objects and Relations: Three Semantic Levels for Knowledge Base Systems
    Download  sunsite.informatik.rwth-aachen.de
    We propose an architecture for large-scale knowledge base systems based on database technologies and the three levels of semantic construct - frames, objects and relations. The in...
    Moira C. Norrie, Ulrich Reimer, Peter Lippuner, Mi...
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