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Volumn , Issue , 2007, Pages 332-341

Improving text classification by using encyclopedia knowledge

Author keywords

[No Author keywords available]

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; CLASSIFICATION (OF INFORMATION); DATA MINING; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION RETRIEVAL SYSTEMS; MINING; SEARCH ENGINES;

EID: 49749144410     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2007.77     Document Type: Conference Paper
Times cited : (60)

References (17)
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    • E. Gabrilovich and S. Markovitch. Feature Generation for Text Categorization Using World Knowledge. In IJCAI' 05.
  • 3
    • 36348939917 scopus 로고    scopus 로고
    • Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge
    • E. Gabrilovich and S. Markovitch. Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge. In AAAI'06.
    • AAAI'06
    • Gabrilovich, E.1    Markovitch, S.2
  • 4
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    • E. Gabrilovich and S. Markovitch. Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In IJCAI' 07.
    • E. Gabrilovich and S. Markovitch. Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis. In IJCAI' 07.
  • 5
    • 49749083638 scopus 로고    scopus 로고
    • D. Milne, O. Medelyan and I. H. Witten. Mining Domain-Specific Thesauri from Wikipedia: A case study. In WI'06.
    • D. Milne, O. Medelyan and I. H. Witten. Mining Domain-Specific Thesauri from Wikipedia: A case study. In WI'06.
  • 6
    • 84893411649 scopus 로고    scopus 로고
    • R. Bunescu and M. Pasca. 2006. Using encyclopedic knowledge for named entity disambiguation. In EACL-06.
    • R. Bunescu and M. Pasca. 2006. Using encyclopedic knowledge for named entity disambiguation. In EACL-06.
  • 7
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    • WikiRelate! Computing semantic relatedness using Wikipedia
    • AAAI'06
    • M. Strube and S. P. Ponzetto. WikiRelate! Computing semantic relatedness using Wikipedia. In AAAI'06.
    • Strube, M.1    Ponzetto, S.P.2
  • 8
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    • An algorithm for suffix stripping
    • M. F. Porter. An algorithm for suffix stripping. Program, 14(3). 1980. pp. 130-137.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 11
    • 85030313899 scopus 로고    scopus 로고
    • OHSUMED: An interactive retrieval evaluation and new large test collection for research
    • W. Hersh, C. Buckley, T. Leone and D. Hickam. OHSUMED: An interactive retrieval evaluation and new large test collection for research. In SIGIR'94, pp. 192-201.
    • SIGIR'94 , pp. 192-201
    • Hersh, W.1    Buckley, C.2    Leone, T.3    Hickam, D.4
  • 12
    • 85142688646 scopus 로고    scopus 로고
    • Newsweeder: Learning to filter netnews
    • K. Lang. Newsweeder: Learning to filter netnews. In ICML'95, pp. 331-339.
    • ICML'95 , pp. 331-339
    • Lang, K.1
  • 13
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    • T. Joachims. Text categorization with support vector machines: Learning with many relevant features. ECML'98, pp. 137-142.
    • T. Joachims. Text categorization with support vector machines: Learning with many relevant features. ECML'98, pp. 137-142.
  • 14
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    • Machine learning in automated text categorization
    • F. Sebastiani. 2002. Machine learning in automated text categorization. ACM Computing Surveys 34(1). 2002. pp.1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 15
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    • A re-examination of text categorization methods
    • Y. Yang and X. Liu. A re-examination of text categorization methods. In SIGIR'99, pp. 42-49.
    • SIGIR'99 , pp. 42-49
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  • 17
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    • D. M. P. Kushal Dave, Steve Lawrence. Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In WWW'03.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.