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Volumn , Issue , 2015, Pages 805-810

Summarizing topical contents from PubMed documents using a thematic analysis

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84959863229     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/d15-1094     Document Type: Conference Paper
Times cited : (8)

References (21)
  • 10
    • 84942914672 scopus 로고    scopus 로고
    • Thematic clustering of text documents using an EM-based approach
    • S. Kim and W. John Wilbur. 2012. Thematic clustering of text documents using an EM-based approach. Journal of Biomedical Semantics, 3(Suppl 3):S6.
    • (2012) Journal of Biomedical Semantics , vol.3 , pp. S6
    • Kim, S.1    John Wilbur, W.2
  • 12
    • 0028230073 scopus 로고
    • Understanding and using the medical subject headings (MeSH) vocabulary to perform literature searches
    • H. J. Lowe and G. O. Barnett. 1994. Understanding and using the medical subject headings (MeSH) vocabulary to perform literature searches. The Journal of the American Medical Association, 271(14):1103-1108.
    • (1994) The Journal of the American Medical Association , vol.271 , Issue.14 , pp. 1103-1108
    • Lowe, H.J.1    Barnett, G.O.2
  • 19
    • 30044446212 scopus 로고    scopus 로고
    • The synergy between PAV and AdaBoost
    • W. John Wilbur, L. Yeganova, and W. Kim. 2005. The synergy between PAV and AdaBoost. Machine Learning, 61(1-3):71-103.
    • (2005) Machine Learning , vol.61 , Issue.1-3 , pp. 71-103
    • John Wilbur, W.1    Yeganova, L.2    Kim, W.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.