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Volumn , Issue , 2004, Pages 220-228

Supervised learning for the legacy document conversion

Author keywords

Legacy document conversion; Machine learning; XML markup

Indexed keywords

COMPUTER PROGRAMMING LANGUAGES; HEURISTIC PROGRAMMING; HTML; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEGACY SYSTEMS; MULTIMEDIA SYSTEMS; SUPERVISORY AND EXECUTIVE PROGRAMS; XML;

EID: 20344383219     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1030397.1030439     Document Type: Conference Paper
Times cited : (5)

References (24)
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  • 5
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    • Berger, A.L.1    Pietra, S.D.2    Delia Pietra, V.J.3
  • 10
    • 0031643563 scopus 로고    scopus 로고
    • Information extraction from html: Application of a general machine learning approach
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    • (1998) Proc. AAAI/IAAI , pp. 517-523
    • Freitag, D.1
  • 13
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy Markov models for information extraction and segmentation
    • Morgan Kaufmann, San Francisco, CA
    • Andrew McCallum, Dayne Freitag, and Fernando Pereira. Maximum entropy Markov models for information extraction and segmentation. In Proc. 17th International Conf. on Machine Learning, pages 591-598. Morgan Kaufmann, San Francisco, CA, 2000.
    • (2000) Proc. 17th International Conf. on Machine Learning , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 15
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    • Automata theory for XML researchers
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    • Neven, F.1
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    • W2X Convenor
  • 20
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    • Standard generalized markup language: Mathematical and philosophical issues
    • D. Wood. Standard Generalized Markup Language: Mathematical and philosophical issues. Lecture Notes in Computer Science, 1000:344-365, 1995.
    • (1995) Lecture Notes in Computer Science , vol.1000 , pp. 344-365
    • Wood, D.1
  • 22
    • 0031249196 scopus 로고    scopus 로고
    • Recent advances of grammatical inference
    • October
    • Y. Sakakibara. Recent Advances of Grammatical Inference. Theoretical Computer Science, 185(l):15-45, October 1997.
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    • Sakakibara, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.