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Volumn , Issue , 2012, Pages 688-698

Unified expectation maximization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MAXIMUM PRINCIPLE; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84876790251     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (38)
  • 1
    • 80053165082 scopus 로고    scopus 로고
    • Alternating projections for learning with expectation constraints
    • K. Bellare, G. Druck, and A. McCallum. 2009. Alternating projections for learning with expectation constraints. In UAI.
    • (2009) UAI
    • Bellare, K.1    Druck, G.2    McCallum, A.3
  • 5
    • 57749120009 scopus 로고    scopus 로고
    • Guiding semisupervision with constraint-driven learning
    • M. Chang, L. Ratinov, and D. Roth. 2007. Guiding semisupervision with constraint-driven learning. In ACL.
    • (2007) ACL
    • Chang, M.1    Ratinov, L.2    Roth, D.3
  • 6
    • 84885484971 scopus 로고    scopus 로고
    • Constraint-based sentence compression: An integer programming approach
    • J. Clarke and M. Lapata. 2006. Constraint-based sentence compression: An integer programming approach. In ACL.
    • (2006) ACL
    • Clarke, J.1    Lapata, M.2
  • 8
    • 77958063873 scopus 로고    scopus 로고
    • Better alignments = better translations
    • K. Ganchev, J. Graca, and B. Taskar. 2008. Better alignments = better translations. In ACL.
    • (2008) ACL
    • Ganchev, K.1    Graca, J.2    Taskar, B.3
  • 10
    • 85174479762 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hofmann. 2001. Unsupervised learning by probabilistic latent semantic analysis. MlJ.
    • (2001) MlJ
    • Hofmann, T.1
  • 11
    • 85174481082 scopus 로고    scopus 로고
    • An information-theoretic analysis of hard and soft assignment methods for clustering
    • M. Kearns, Y. Mansour, and A. Y. Ng. 1997. An information-theoretic analysis of hard and soft assignment methods for clustering. In ICML.
    • (1997) ICML
    • Kearns, M.1    Mansour, Y.2    Ng, A.Y.3
  • 12
    • 29344466697 scopus 로고    scopus 로고
    • Corpus-based induction of syntactic structure: Models of dependency and constituency
    • D. Klein and C. D. Manning. 2004. Corpus-based induction of syntactic structure: models of dependency and constituency. In ACL.
    • (2004) ACL
    • Klein, D.1    Manning, C.D.2
  • 14
    • 80053229665 scopus 로고    scopus 로고
    • Dual decomposition for parsing with nonprojective head automata
    • T. Koo, A. M. Rush, M. Collins, T. Jaakkola, and D. Sontag. 2010. Dual decomposition for parsing with nonprojective head automata. In EMNLP.
    • (2010) EMNLP
    • Koo, T.1    Rush, A.M.2    Collins, M.3    Jaakkola, T.4    Sontag, D.5
  • 17
    • 77949506891 scopus 로고    scopus 로고
    • Generalized expectation criteria for semi-supervised learning with weakly labeled data
    • G. S. Mann and A. McCallum. 2010. Generalized expectation criteria for semi-supervised learning with weakly labeled data. JMLR, 11.
    • (2010) JMLR , pp. 11
    • Mann, G.S.1    McCallum, A.2
  • 18
    • 84859887629 scopus 로고    scopus 로고
    • Concise integer linear programming formulations for dependency parsing
    • A. Martins, N. A. Smith, and E. Xing. 2009. Concise integer linear programming formulations for dependency parsing. In ACL.
    • (2009) ACL
    • Martins, A.1    Smith, N.A.2    Xing, E.3
  • 19
    • 0002332781 scopus 로고    scopus 로고
    • Improving text classification by shrinkage in a hierarchy of classes
    • A. K. McCallum, R. Rosenfeld, T. M. Mitchell, and A. Y. Ng. 1998. Improving text classification by shrinkage in a hierarchy of classes. In ICML.
    • (1998) ICML
    • McCallum, A.K.1    Rosenfeld, R.2    Mitchell, T.M.3    Ng, A.Y.4
  • 21
    • 84860516358 scopus 로고    scopus 로고
    • Improved discriminative bilingual word alignment
    • R. C. Moore, W. Yih, and A. Bode. 2006. Improved discriminative bilingual word alignment. In ACL.
    • (2006) ACL
    • Moore, R.C.1    Yih, W.2    Bode, A.3
  • 22
    • 0002788893 scopus 로고    scopus 로고
    • A new view of the em algorithm that justifies incremental, sparse and other variants
    • M. I. Jordan, editor
    • R. M. Neal and G. E. Hinton. 1998. A new view of the EM algorithm that justifies incremental, sparse and other variants. In M. I. Jordan, editor, Learning in Graphical Models.
    • (1998) Learning in Graphical Models
    • Neal, R.M.1    Hinton, G.E.2
  • 24
    • 85146428452 scopus 로고    scopus 로고
    • Improved statistical alignment models
    • F. J. Och and H. Ney. 2000. Improved statistical alignment models. In ACL.
    • (2000) ACL
    • Och, F.J.1    Ney, H.2
  • 25
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • F. J. Och and H. Ney. 2003. A systematic comparison of various statistical alignment models. CL, 29.
    • (2003) CL , pp. 29
    • Och, F.J.1    Ney, H.2
  • 26
    • 85174476585 scopus 로고    scopus 로고
    • Minimized models for unsupervised part-of-speech tagging
    • (August)
    • S. Ravi and K. Knight. 2009. Minimized models for unsupervised part-of-speech tagging. ACL, 1(August).
    • (2009) ACL , pp. 1
    • Ravi, S.1    Knight, K.2
  • 27
    • 0032202775 scopus 로고    scopus 로고
    • Deterministic annealing for clustering, compression, classification, regression, and related optimization problems
    • K. Rose. 1998. Deterministic annealing for clustering, compression, classification, regression, and related optimization problems. In IEEE, pages 2210-2239.
    • (1998) IEEE , pp. 2210-2239
    • Rose, K.1
  • 29
    • 85093033694 scopus 로고    scopus 로고
    • A linear programming formulation for global inference in natural language tasks
    • H. T. Ng and E. Riloff, editors
    • D. Roth andW. Yih. 2004. A linear programming formulation for global inference in natural language tasks. In H. T. Ng and E. Riloff, editors, CoNLL.
    • (2004) CoNLL
    • Roth, D.1    Yih, W.2
  • 30
    • 37849051438 scopus 로고    scopus 로고
    • Global inference for entity and relation identification via a linear programming formulation
    • L. Getoor and B. Taskar, editors
    • D. Roth and W. Yih. 2007. Global inference for entity and relation identification via a linear programming formulation. In L. Getoor and B. Taskar, editors, Introduction to Statistical Relational Learning.
    • (2007) Introduction to Statistical Relational Learning
    • Roth, D.1    Yih, W.2
  • 31
    • 80053231397 scopus 로고    scopus 로고
    • Exact decoding of syntactic translation models through lagrangian relaxation
    • A. M. Rush and M. Collins. 2011. Exact decoding of syntactic translation models through lagrangian relaxation. In ACL.
    • (2011) ACL
    • Rush, A.M.1    Collins, M.2
  • 32
    • 80053227279 scopus 로고    scopus 로고
    • On dual decomposition and linear programming relaxations for natural language processing
    • A. M. Rush, D. Sontag, M. Collins, and T. Jaakkola. 2010. On dual decomposition and linear programming relaxations for natural language processing. In EMNLP.
    • (2010) EMNLP
    • Rush, A.M.1    Sontag, D.2    Collins, M.3    Jaakkola, T.4
  • 34
    • 85149124789 scopus 로고    scopus 로고
    • Annealing techniques for unsupervised statistical language learning
    • N. A. Smith and J. Eisner. 2004. Annealing techniques for unsupervised statistical language learning. In ACL.
    • (2004) ACL
    • Smith, N.A.1    Eisner, J.2
  • 36
    • 34547243278 scopus 로고    scopus 로고
    • A discriminative matching approach to word alignment
    • B. Taskar, S. Lacoste-Julien, and D. Klein. 2005. A discriminative matching approach to word alignment. In HLT-EMNLP.
    • (2005) HLT-EMNLP
    • Taskar, B.1    Lacoste-Julien, S.2    Klein, D.3
  • 37
    • 0032029288 scopus 로고    scopus 로고
    • Deterministic annealing em algorithm
    • N. Ueda and R. Nakano. 1998. Deterministic annealing em algorithm. Neural Network.
    • (1998) Neural Network
    • Ueda, N.1    Nakano, R.2
  • 38
    • 0004339720 scopus 로고    scopus 로고
    • Hmm-based word alignment in statistical translation
    • S. Vogel, H. Ney, and C. Tillmann. 1996. Hmm-based word alignment in statistical translation. In COLING.
    • (1996) COLING
    • Vogel, S.1    Ney, H.2    Tillmann, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.