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Volumn 2003-July, Issue , 2003, Pages

Closing the gap: Learning-based information extraction rivaling knowledge-engineering methods

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; KNOWLEDGE ENGINEERING; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SYNTACTICS;

EID: 26944460092     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (43)

References (17)
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    • Califf, M. E.1    Mooney, R. J.2
  • 3
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    • A maximum entropy approach to information extraction from semi-structured and free text
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    • H. L. Chieu and H. T. Ng. 2002a. A maximum entropy approach to information extraction from semi-structured and free text. In Proceedings of AAAI02, pages 786-791.
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    • Chieu, H. L.1    Ng, H. T.2
  • 4
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    • Named entity recognition: A maximum entropy approach using global information
    • b pages
    • H. L. Chieu and H. T. Ng. 2002b. Named entity recognition: A maximum entropy approach using global information. In Proceedings of COLING02, pages 190-196.
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    • Chieu, H. L.1    Ng, H. T.2
  • 5
    • 84880859303 scopus 로고    scopus 로고
    • Adaptive information extraction from text by rule induction and generalisation
    • F. Ciravegna. 2001. Adaptive information extraction from text by rule induction and generalisation. In Proceedings of IJCAI01, pages 1251-1256.
    • (2001) Proceedings of IJCAI01 , pp. 1251-1256
    • Ciravegna, F.1
  • 9
    • 85149110962 scopus 로고    scopus 로고
    • Automatic labelling of semantic roles
    • D. Gildea and D. Jurafsky. 2000. Automatic labelling of semantic roles. In Proceedings of ACL00, pages 512-520.
    • (2000) Proceedings of ACL00 , pp. 512-520
    • Gildea, D.1    Jurafsky, D.2
  • 10
    • 85120485377 scopus 로고    scopus 로고
    • Algorithms that learn to extract information BBN: Description of the SIFT system as used for MUC-7
    • the Annotation Group
    • S. Miller, M. Crystal, H. Fox, L. Ramshaw, R. Schwartz, R. Stone, R. Weischedel, and the Annotation Group. 1998. Algorithms that learn to extract information BBN: Description of the SIFT system as used for MUC-7. In Proceedings of MUC-7.
    • (1998) Proceedings of MUC-7
    • Miller, S.1    Crystal, M.2    Fox, H.3    Ramshaw, L.4    Schwartz, R.5    Stone, R.6    Weischedel, R.7
  • 13
    • 85119178622 scopus 로고
    • GE NLTOOLSET: MUC-4 test results and analysis
    • L. Rau, G. Krupka, and P. Jacobs. 1992. GE NLTOOLSET: MUC-4 test results and analysis. In Proceedings of MUC-4, pages 94-99.
    • (1992) Proceedings of MUC-4 , pp. 94-99
    • Rau, L.1    Krupka, G.2    Jacobs, P.3
  • 14
    • 84880912564 scopus 로고    scopus 로고
    • Relational learning via propositional algorithms: An information extraction case study
    • D. Roth and W. Yih. 2001. Relational learning via propositional algorithms: An information extraction case study. In Proceedings of IJCAI01, pages 1257-1263.
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    • Roth, D.1    Yih, W.2
  • 15
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    • Learning information extraction rules for semi-structured and free text
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    • S. Soderland. 1999. Learning information extraction rules for semi-structured and free text. Machine Learning, 34(1/2/3):233-272.
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    • Soderland, S.1
  • 16
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    • A machine learning approach to coreference resolution of noun phrases
    • W. M. Soon, H. T. Ng, and D. C. Y. Lim. 2001. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521-544.
    • (2001) Computational Linguistics , vol.27 , Issue.4 , pp. 521-544
    • Soon, W. M.1    Ng, H. T.2    Lim, D. C. Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.