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Volumn , Issue , 2010, Pages 155-163

Feature selection for fluency ranking

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINATIVE FEATURES; FEATURE SELECTION METHODS; FEATURE TEMPLATE; FEATURE VALUES; FEATURE-BASED MODEL; FREQUENCY-BASED SELECTION; GENERATION SYSTEMS; MAXIMUM ENTROPY; MAXIMUM ENTROPY MODELS; SELECTION METHODS;

EID: 84858115954     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 7
    • 84950945692 scopus 로고
    • Model selection and accounting for model uncertainty in graphical models using Occam's window
    • D. Madigan and A.E. Raftery. 1994. Model selection and accounting for model uncertainty in graphical models using Occam's window. Journal of the American Statistical Association, 89(428):1535-1546.
    • (1994) Journal of the American Statistical Association , vol.89 , Issue.428 , pp. 1535-1546
    • Madigan, D.1    Raftery, A.E.2
  • 9
    • 85118650171 scopus 로고    scopus 로고
    • Precision and recall of machine translation
    • I. D. Melamed, R. Green, and J. P. Turian. 2003. Precision and recall of machine translation. In HLTNAACL.
    • (2003) HLTNAACL
    • Melamed, I.D.1    Green, R.2    Turian, J.P.3
  • 11
    • 37249087307 scopus 로고    scopus 로고
    • Estimation of stochastic attributevalue grammars using an informative sample
    • Morristown, NJ, USA. Association for Computational Linguistics
    • M. Osborne. 2000. Estimation of stochastic attributevalue grammars using an informative sample. In Proceedings of the 18th conference on Computational linguistics, pages 586-592, Morristown, NJ, USA. Association for Computational Linguistics.
    • (2000) Proceedings of the 18th Conference on Computational Linguistics , pp. 586-592
    • Osborne, M.1
  • 12
    • 1942418470 scopus 로고    scopus 로고
    • Grafting: Fast, incremental feature selection by gradient descent in function space
    • S. Perkins, K. Lacker, and J. Theiler. 2003. Grafting: Fast, incremental feature selection by gradient descent in function space. The Journal of Machine Learning Research, 3:1333-1356.
    • (2003) The Journal of Machine Learning Research , vol.3 , pp. 1333-1356
    • Perkins, S.1    Lacker, K.2    Theiler, J.3
  • 13
    • 0032660854 scopus 로고    scopus 로고
    • Learning to parse natural language with maximum entropy models
    • A. Ratnaparkhi. 1999. Learning to parse natural language with maximum entropy models. Machine Learning, 34(1):151-175.
    • (1999) Machine Learning , vol.34 , Issue.1 , pp. 151-175
    • Ratnaparkhi, A.1
  • 14
    • 85026330931 scopus 로고    scopus 로고
    • Using self-trained bilexical preferences to improve disambiguation accuracy
    • Association for Computational Linguistics
    • G. Van Noord. 2007. Using self-trained bilexical preferences to improve disambiguation accuracy. In Proceedings of the 10th International Conference on Parsing Technologies, pages 1-10. Association for Computational Linguistics.
    • (2007) Proceedings of the 10th International Conference on Parsing Technologies , pp. 1-10
    • Van Noord, G.1
  • 16
    • 77956321239 scopus 로고    scopus 로고
    • Ph.D. thesis, University of Oslo, Department of Informatics
    • E. Velldal. 2008. Empirical Realization Ranking. Ph.D. thesis, University of Oslo, Department of Informatics.
    • (2008) Empirical Realization Ranking
    • Velldal, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.