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Volumn , Issue , 2010, Pages 199-206

Structured output learning with indirect supervision

Author keywords

[No Author keywords available]

Indexed keywords

BINARY DECISION; LEARNING PROBLEM; PART OF SPEECH TAGGING; STRUCTURE PREDICTION; STRUCTURE-LEARNING;

EID: 77956553315     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (47)

References (19)
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  • 2
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    • Chang, M., Goldwasser, D., Roth, D., and Tu, Y. Unsupervised constraint driven learning for transliteration discovery. In NAACL, 2009.
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    • Chang, M.1    Goldwasser, D.2    Roth, D.3    Tu, Y.4
  • 3
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    • Chang, M., Goldwasser, D., Roth, D., and Srikumar, V. Discriminative learning over constrained latent representations. In NAACL, 2010.
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    • Chang, M.1    Goldwasser, D.2    Roth, D.3    Srikumar, V.4
  • 5
    • 84859881704 scopus 로고    scopus 로고
    • Unsupervised learning of field segmentation models for information extraction
    • Grenager, T., Klein, D., and Manning, C. Unsupervised learning of field segmentation models for information extraction. In ACL, 2005.
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    • Grenager, T.1    Klein, D.2    Manning, C.3
  • 7
    • 77956507802 scopus 로고    scopus 로고
    • Named entity transliteration and discovery in multilingual corpora
    • Goutte, Cyril, Cancedda, Nicola, Dymetman, Marc, and Foster, George (eds.)
    • Klementiev, A. and Roth, D. Named entity transliteration and discovery in multilingual corpora. In Goutte, Cyril, Cancedda, Nicola, Dymetman, Marc, and Foster, George (eds.), Learning Machine Translation. 2008.
    • (2008) Learning Machine Translation
    • Klementiev, A.1    Roth, D.2
  • 8
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    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • Lafferty, J., McCallum, A., and Pereira, F. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In ICML, 2001.
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    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 10
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    • Polyhedral outer approximations with application to natural language parsing
    • Martins, A. F. T., Smith, N. A., and Xing, E. P. Polyhedral outer approximations with application to natural language parsing. In ICML, 2009.
    • (2009) ICML
    • Martins, A.F.T.1    Smith, N.A.2    Xing, E.P.3
  • 11
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy markov models for information extraction and segmentation
    • McCallum, A., Freitag, D., and Pereira, F. Maximum entropy markov models for information extraction and segmentation. In ICML, 2000.
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  • 12
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.