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Volumn , Issue , 2009, Pages 74-82

Unsupervised and Constrained Dirichlet Process Mixture Models for Verb Clustering

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 85188809415     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (59)

References (25)
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    • Daniel D. Lee and Sebastian H. Seung. 1999. Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755):788-791, October.
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, Daniel D.1    Seung, Sebastian H.2
  • 13
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    • Projected gradient methods for nonnegative matrix factorization
    • Chih-Jen Lin. 2007. Projected gradient methods for nonnegative matrix factorization. Neural Compuation, 19(10):2756-2779.
    • (2007) Neural Compuation , vol.19 , Issue.10 , pp. 2756-2779
    • Lin, Chih-Jen1
  • 14
    • 33947156744 scopus 로고    scopus 로고
    • Comparing clusterings-an information based distance
    • Marina Meila. 2007. Comparing clusterings-an information based distance. Journal of Multivariate Analysis, 98(5):873-895.
    • (2007) Journal of Multivariate Analysis , vol.98 , Issue.5 , pp. 873-895
    • Meila, Marina1
  • 16
    • 77950032550 scopus 로고    scopus 로고
    • Markov Chain Sampling Methods for Dirichlet Process Mixture Models
    • June
    • Radford M. Neal. 2000. Markov Chain Sampling Methods for Dirichlet Process Mixture Models. Journal of Computational and Graphical Statistics, 9(2):249-265, June.
    • (2000) Journal of Computational and Graphical Statistics , vol.9 , Issue.2 , pp. 249-265
    • Neal, Radford M.1
  • 17
    • 0033896770 scopus 로고    scopus 로고
    • A theory of proximity based clustering: Structure detection by optimization
    • Jan Puzicha, Thomas Hofmann, and Joachim Buhmann. 2000. A theory of proximity based clustering: Structure detection by optimization. Pattern Recognition, 33(4):617-634.
    • (2000) Pattern Recognition , vol.33 , Issue.4 , pp. 617-634
    • Puzicha, Jan1    Hofmann, Thomas2    Buhmann, Joachim3
  • 18
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • William M. Rand. 1971. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66(336):846-850.
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.336 , pp. 846-850
    • Rand, William M.1
  • 19
    • 80053369934 scopus 로고    scopus 로고
    • V-measure: A conditional entropy-based external cluster evaluation measure
    • Prague, Czech Republic
    • Andrew Rosenberg and Julia Hirschberg. 2007. V-measure: A conditional entropy-based external cluster evaluation measure. In Proceedings of EMNLPCoNLL, pages 410-420, Prague, Czech Republic.
    • (2007) Proceedings of EMNLPCoNLL , pp. 410-420
    • Rosenberg, Andrew1    Hirschberg, Julia2
  • 22
    • 38049151407 scopus 로고    scopus 로고
    • A hierarchical Bayesian language model based on Pitman-Yor processes
    • Sydney, Australia
    • Yee Whye Teh. 2006. A hierarchical Bayesian language model based on Pitman-Yor processes. In Proceedings of COLING-ACL, pages 985-992, Sydney, Australia.
    • (2006) Proceedings of COLING-ACL , pp. 985-992
    • Teh, Yee Whye1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.