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Volumn , Issue , 2007, Pages 280-287

Guiding semi-supervision with constraint-driven learning

Author keywords

[No Author keywords available]

Indexed keywords

DOMAIN KNOWLEDGE; GLOBAL INFORMATIONS; INFORMATION EXTRACTION; LABELED DATA; NATURAL LANGUAGE PROCESSING; RESEARCH DIRECTIONS; SEMI-SUPERVISED LEARNING; STRUCTURED LEARNING; TRAINING DATA;

EID: 57749120009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (185)

References (15)
  • 1
    • 12244290581 scopus 로고    scopus 로고
    • Exploiting dictionaries in named entity extraction: Combining semi-Markov extraction processes and data integration methods
    • W. Cohen and S. Sarawagi. 2004. Exploiting dictionaries in named entity extraction: Combining semi-markov extraction processes and data integration methods. In Proc. of the ACM SIGKDD.
    • (2004) Proc. of the ACM SIGKDD
    • Cohen, W.1    Sarawagi, S.2
  • 2
    • 85119383022 scopus 로고    scopus 로고
    • Unsupervised models for named entity classification
    • M. Collins and Y. Singer. 1999. Unsupervised models for named entity classification. In Proc. of EMNLP.
    • (1999) Proc. of EMNLP
    • Collins, M.1    Singer, Y.2
  • 3
    • 85127836544 scopus 로고    scopus 로고
    • Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms
    • M. Collins. 2002. Discriminative training methods for hidden Markov models: Theory and experiments with perceptron algorithms. In Proc. of EMNLP.
    • (2002) Proc. of EMNLP
    • Collins, M.1
  • 5
    • 70049102734 scopus 로고    scopus 로고
    • Prototype-driven learning for sequence models
    • A. Haghighi and D. Klein. 2006. Prototype-driven learning for sequence models. In Proc. of HTL-NAACL.
    • (2006) Proc. of HTL-NAACL
    • Haghighi, A.1    Klein, D.2
  • 6
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy Markov models for information extraction and segmentation
    • A. McCallum, D. Freitag, and F. Pereira. 2000. Maximum entropy markov models for information extraction and segmentation. In Proc. of ICML.
    • (2000) Proc. of ICML
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 8
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using em
    • K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 103-134
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4
  • 10
    • 31844450331 scopus 로고    scopus 로고
    • Integer linear programming inference for conditional random fields
    • D. Roth and W. Yih. 2005. Integer linear programming inference for conditional random fields. In Proc. of ICML.
    • (2005) Proc. of ICML
    • Roth, D.1    Yih, W.2
  • 11
    • 84880673754 scopus 로고    scopus 로고
    • Learning in natural language
    • D. Roth. 1999. Learning in natural language. In Proc. of IJCAI, pages 898-904.
    • (1999) Proc. of IJCAI , pp. 898-904
    • Roth, D.1
  • 12
  • 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 Proc. of the Annual Meeting of the ACL.
    • (2005) Proc. of the Annual Meeting of the ACL
    • Smith, N.1    Eisner, J.2
  • 14
    • 85037064574 scopus 로고    scopus 로고
    • A bootstrapping method for learning semantic lexicons using extraction pattern contexts
    • M. Thelen and E. Riloff. 2002. A bootstrapping method for learning semantic lexicons using extraction pattern contexts. In Proc. of EMNLP.
    • (2002) Proc. of EMNLP
    • Thelen, M.1    Riloff, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.