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Volumn , Issue , 2010, Pages 209-214

Efficient optimization of an MDL-inspired objective function for unsupervised part-of-speech tagging

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; GENERATIVE MODEL; LOG LIKELIHOOD; MDL PRINCIPLE; MINIMUM DESCRIPTION LENGTH PRINCIPLE; MODEL SELECTION; MODEL SIZE; OBJECTIVE FUNCTIONS; PART OF SPEECH TAGGING; POS TAGGING; SEARCH ALGORITHMS;

EID: 84859998316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 2
    • 0032183995 scopus 로고    scopus 로고
    • The minimum description length principle in coding and modeling
    • A. Barron, J. Rissanen, and B. Yu. 1998. The minimum description length principle in coding and modeling. IEEE Transactions on Information Theory, 44(6):2743-2760.
    • (1998) IEEE Transactions on Information Theory , vol.44 , Issue.6 , pp. 2743-2760
    • Barron, A.1    Rissanen, J.2    Yu, B.3
  • 6
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. Computational Linguistics, 39(4):1-38.
    • (1977) Computational Linguistics , vol.39 , Issue.4 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 7
    • 84859881696 scopus 로고    scopus 로고
    • EM can find pretty good HMM POS-taggers (when given a good start)
    • Y. Goldberg, M. Adler, and M. Elhadad. 2008. EM can find pretty good HMM POS-taggers (when given a good start). In Proceedings of the ACL.
    • (2008) Proceedings of the ACL
    • Goldberg, Y.1    Adler, M.2    Elhadad, M.3
  • 8
    • 84860525845 scopus 로고    scopus 로고
    • A fully Bayesian approach to unsupervised part-of-speech tagging
    • S. Goldwater and T. L. Griffiths. 2007. A fully Bayesian approach to unsupervised part-of-speech tagging. In Proceedings of the ACL.
    • (2007) Proceedings of the ACL
    • Goldwater, S.1    Griffiths, T.L.2
  • 10
    • 84867119745 scopus 로고
    • Tagging English text with a probabilistic model
    • B. Merialdo. 1994. Tagging English text with a probabilistic model. Computational Linguistics, 20(2):155-171.
    • (1994) Computational Linguistics , vol.20 , Issue.2 , pp. 155-171
    • Merialdo, B.1
  • 12
    • 84859916726 scopus 로고    scopus 로고
    • Minimized models for unsupervised part-of-speech tagging
    • S. Ravi and K. Knight. 2009. Minimized models for unsupervised part-of-speech tagging. In Proceedings of ACL-IJCNLP.
    • (2009) Proceedings of ACL-IJCNLP
    • Ravi, S.1    Knight, K.2
  • 13
    • 84859905260 scopus 로고    scopus 로고
    • Contrastive estimation: Training log-linear models on unlabeled data
    • N. Smith. and J. Eisner. 2005. Contrastive estimation: Training log-linear models on unlabeled data. In Proceedings of the ACL.
    • (2005) Proceedings of the ACL
    • Smith, N.1    Eisner, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.