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Volumn , Issue , 2006, Pages 89-96

Unsupervised relation disambiguation using spectral clustering

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS;

EID: 80053407636     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (17)
  • 3
    • 0009966131 scopus 로고    scopus 로고
    • Technical Report CS-99-12.. Computer Science Department, Brown University
    • Charniak E.. 1999. A Maximum-entropy-inspired parser. Technical Report CS-99-12.. Computer Science Department, Brown University.
    • (1999) A Maximum-entropy-inspired parser
    • Charniak, E.1
  • 7
    • 85140744814 scopus 로고    scopus 로고
    • Combining lexical, syntactic and semantic features with Maximum Entropy Models for extracting relations
    • 21-26 July 2004. Barcelona, Spain
    • Kambhatla N. 2004. Combining lexical, syntactic and semantic features with Maximum Entropy Models for extracting relations, In proceedings of 42th Annual Meeting of the Association for Computational Linguistics. 21-26 July 2004. Barcelona, Spain.
    • (2004) proceedings of 42th Annual Meeting of the Association for Computational Linguistics
    • Kambhatla, N.1
  • 11
    • 33749060871 scopus 로고    scopus 로고
    • Automatic determination of the number of clusters using spectral algorithms
    • 28-30 Sept 2005, Mystic, Connecticut, USA
    • Sanguinetti G., Laidler J. and Lawrence N.. 2005. Automatic determination of the number of clusters using spectral algorithms.In: IEEE Machine Learning for Signal Processing. 28-30 Sept 2005, Mystic, Connecticut, USA.
    • (2005) IEEE Machine Learning for Signal Processing
    • Sanguinetti, G.1    Laidler, J.2    Lawrence, N.3
  • 13
    • 0033285447 scopus 로고    scopus 로고
    • Segmentation using eigenvectors: A unifying view
    • Weiss Yair. 1999. Segmentation using eigenvectors: A unifying view. ICCV(2). pp.975-982.
    • (1999) ICCV , Issue.2 , pp. 975-982
    • Yair, Weiss1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.