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Volumn , Issue , 2011, Pages 145-153

Using second-order vectors in a knowledge-based method for acronym disambiguation

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL TEXT; CO-OCCURRENCE; DATA SETS; KNOWLEDGE-BASED METHODS; MEDLINE; SECOND ORDERS; SECOND-ORDER FEATURES; UNIFIED MEDICAL LANGUAGE SYSTEMS;

EID: 84857773950     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (26)
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    • N. Ide and J. Véronis. 1998. Introduction to the special issue on word sense disambiguation: the state of the art. Computational Linguistics, 24(1):2-40.
    • (1998) Computational Linguistics , vol.24 , Issue.1 , pp. 2-40
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    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone froman ice creamcone
    • M. Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone froman ice creamcone. Proceedings of the 5th Annual International Conference on Systems Documentation, pages 24-26.
    • (1986) Proceedings of the 5th Annual International Conference On Systems Documentation , pp. 24-26
    • Lesk, M.1
  • 9
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    • Disambiguating ambiguous biomedical terms in biomedical narrative text: An unsupervised method
    • H. Liu, YA. Lussier, and C. Friedman. 2001. Disambiguating ambiguous biomedical terms in biomedical narrative text: an unsupervised method. Journal of Biomedical Informatics, 34(4):249-261.
    • (2001) Journal of Biomedical Informatics , vol.34 , Issue.4 , pp. 249-261
    • Liu, H.1    Lussier, Y.A.2    Friedman, C.3
  • 11
    • 0036828375 scopus 로고    scopus 로고
    • Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS
    • H. Liu, S.B. Johnson, and C. Friedman. 2002b. Automatic resolution of ambiguous terms based on machine learning and conceptual relations in the UMLS. JAMIA, 9(6):621-636.
    • (2002) JAMIA , vol.9 , Issue.6 , pp. 621-636
    • Liu, H.1    Johnson, S.B.2    Friedman, C.3
  • 12
    • 3042723139 scopus 로고    scopus 로고
    • A multiaspect comparison study of supervised word sense disambiguation
    • H. Liu, V. Teller, and C. Friedman. 2004. A multiaspect comparison study of supervised word sense disambiguation. JAMIA, 11(4):320-331.
    • (2004) JAMIA , vol.11 , Issue.4 , pp. 320-331
    • Liu, H.1    Teller, V.2    Friedman, C.3
  • 18
    • 78650949174 scopus 로고    scopus 로고
    • The effect of different context representations on word sense discrimination in biomedical texts
    • T. Pedersen. 2010. The effect of different context representations on word sense discrimination in biomedical texts. In Proceedings of the 1st ACMInternational IHI Symposium, pages 56-65.
    • (2010) Proceedings of the 1st ACMInternational IHI Symposium , pp. 56-65
    • Pedersen, T.1
  • 24
    • 24644501599 scopus 로고    scopus 로고
    • Recognizing acronyms and their definitions
    • K. Taghva and J. Gilbreth. 1999. Recognizing acronyms and their definitions. ISRI UNLV, 1:191-198.
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  • 26
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    • Heuristics for identification of acronym-definition patterns within text: Towards an automated construction of comprehensive acronym-definition dictionaries
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    • (2002) Methods of Information In Medicine , vol.41 , Issue.5 , pp. 426-434
    • Wren, J.D.1    Garner, H.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.