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Volumn , Issue , 2008, Pages 823-824

Measuring concept relatedness using language models

Author keywords

Language models; Semantic relatedness

Indexed keywords

COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; INFORMATION SERVICES; INFORMATION THEORY; ONTOLOGY; RESEARCH AND DEVELOPMENT MANAGEMENT;

EID: 57349185567     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390334.1390523     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 1
    • 2342596419 scopus 로고    scopus 로고
    • Towards the development of a conceptual distance metric for the UMLS
    • April
    • J. E. Caviedes and J. J. Cimino. Towards the development of a conceptual distance metric for the UMLS. Journal of Biomedical Informatics, 37(2):77-85, April 2004.
    • (2004) Journal of Biomedical Informatics , vol.37 , Issue.2 , pp. 77-85
    • Caviedes, J.E.1    Cimino, J.J.2
  • 3
    • 0005180705 scopus 로고    scopus 로고
    • An information-theoretic definition of similarity
    • D. Lin. An information-theoretic definition of similarity. In ICML '98, pages 296-304, 1998.
    • (1998) ICML '98 , pp. 296-304
    • Lin, D.1
  • 5
    • 33751071595 scopus 로고    scopus 로고
    • New ontology-based semantic similarity measure for the biomedical domain
    • H. Nguyen and H. Al-Mubaid. New ontology-based semantic similarity measure for the biomedical domain. In 2006 IEEE Int. Conf. on Granular Computing, pages 623-628, 2006.
    • (2006) 2006 IEEE Int. Conf. on Granular Computing , pp. 623-628
    • Nguyen, H.1    Al-Mubaid, H.2
  • 9
    • 33750448342 scopus 로고    scopus 로고
    • Hierarchical topic detection in large digital news archives: Exploring a sample based approach
    • D. Trieschnigg and W. Kraaij Hierarchical topic detection in large digital news archives: Exploring a sample based approach. Journal of Digital Information Management, 3(1): 21-26, 2005.
    • (2005) Journal of Digital Information Management , vol.3 , Issue.1 , pp. 21-26
    • Trieschnigg, D.1    Kraaij, W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.