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Volumn , Issue , 2006, Pages 48-55

A Hybrid Approach for the Acquisition of Information Extraction Patterns

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; IMAGE SEGMENTATION; INFORMATION RETRIEVAL; MAXIMUM PRINCIPLE; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 52149114532     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (12)
  • 2
    • 18744410770 scopus 로고    scopus 로고
    • Understanding the Yarowsky algorithm
    • S. Abney. 2004. Understanding the Yarowsky algorithm. Computational Linguistics, 30(3).
    • (2004) Computational Linguistics , vol.30 , Issue.3
    • Abney, S.1
  • 4
    • 85119383022 scopus 로고    scopus 로고
    • Unsupervised models for named entity classification
    • M. Collins and Y. Singer. 1999. Unsupervised models for named entity classification. In Proceedings of EMNLP.
    • (1999) Proceedings of EMNLP
    • Collins, M.1    Singer, Y.2
  • 6
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • (/3)
    • K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3).
    • (2000) Machine Learning , vol.39 , Issue.2
    • Nigam, K.1    McCallum, A.2    Thrun, S.3    Mitchell, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.