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Volumn , Issue , 2009, Pages 71-79

Disambiguation of Biomedical Abbreviations

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84942676596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (47)

References (28)
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  • 4
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    • Inter-coder agreement for computational linguistics
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  • 6
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    • Acronymesis: The exploding misuse of acronyms
    • H. Fred and T. Cheng. 1999. Acronymesis: The exploding misuse of acronyms. Texas Heart Institute Journal, 30:255-257.
    • (1999) Texas Heart Institute Journal , vol.30 , pp. 255-257
    • Fred, H.1    Cheng, T.2
  • 7
    • 24644505245 scopus 로고    scopus 로고
    • Resolving abbreviations to their senses in Medline
    • S. Gaudan, H. Kirsch, and D. Rebholz-Schuhmann. 2005. Resolving abbreviations to their senses in Medline. Bioinformatics, 21(18):3658-3664.
    • (2005) Bioinformatics , vol.21 , Issue.18 , pp. 3658-3664
    • Gaudan, S.1    Kirsch, H.2    Rebholz-Schuhmann, D.3
  • 10
    • 34248861362 scopus 로고
    • Dictionary word sense distinctions: An enquiry into their nature
    • A. Kilgarriff. 1993. Dictionary word sense distinctions: An enquiry into their nature. Computers and the Humanities, 26:356-387.
    • (1993) Computers and the Humanities , vol.26 , pp. 356-387
    • Kilgarriff, A.1
  • 11
    • 0035564886 scopus 로고    scopus 로고
    • Disambiguating ambiguous biomedical terms in biomedical narrative text: An unsupervised method
    • H. Liu, Y. Lussier, and C. Friedman. 2001. Disambiguating ambiguous biomedical terms in biomedical narrative text: An unsupervised method. Journal of Biomedical Informatics, 34:249-261.
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    • Liu, H.1    Lussier, Y.2    Friedman, C.3
  • 12
    • 0036828375 scopus 로고    scopus 로고
    • Automatic Resolution of Ambiguous Terms Based on Machine Learning and Conceptual Relations in the UMLS
    • H. Liu, S. Johnson, and C. Friedman. 2002. Automatic Resolution of Ambiguous Terms Based on Machine Learning and Conceptual Relations in the UMLS. Journal of the American Medical Informatics Association, 9(6):621-636.
    • (2002) Journal of the American Medical Informatics Association , vol.9 , Issue.6 , pp. 621-636
    • Liu, H.1    Johnson, S.2    Friedman, C.3
  • 16
    • 9344258385 scopus 로고    scopus 로고
    • The Unified Medical Language System (UMLS) Project
    • Allen Kent and Carolyn M. Hall, editors, Marcel Dekker, Inc
    • S. Nelson, T. Powell, and B. Humphreys. 2002. The Unified Medical Language System (UMLS) Project. In Allen Kent and Carolyn M. Hall, editors, Encyclopedia of Library and Information Science. Marcel Dekker, Inc.
    • (2002) Encyclopedia of Library and Information Science
    • Nelson, S.1    Powell, T.2    Humphreys, B.3
  • 19
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    • Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts
    • Philadelphia, PA
    • S. Pakhomov. 2002. Semi-supervised maximum entropy based approach to acronym and abbreviation normalization in medical texts. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, pages 160-167, Philadelphia, PA.
    • (2002) Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics , pp. 160-167
    • Pakhomov, S.1
  • 23
    • 56649093031 scopus 로고    scopus 로고
    • Disambiguation of biomedical text using diverse sources of information
    • (Suppl 11)
    • M. Stevenson, Y. Guo, R. Gaizauskas, and D. Martinez. 2008. Disambiguation of biomedical text using diverse sources of information. BMC Bioinformatics, 9(Suppl 11):S7.
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    • Stevenson, M.1    Guo, Y.2    Gaizauskas, R.3    Martinez, D.4
  • 24
    • 0035752436 scopus 로고    scopus 로고
    • Developing a Test Collection for Biomedical Word Sense Disambiguation
    • Washington, DC
    • M. Weeber, J. Mork, and A. Aronson. 2001. Developing a Test Collection for Biomedical Word Sense Disambiguation. In Proceedings of AMAI Symposium, pages 746-50, Washington, DC.
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    • Weeber, M.1    Mork, J.2    Aronson, A.3
  • 27
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    • A large scale, corpus-based approach for automatically disambigutaing biomedical abbreviations
    • H. Yu, W. Kim, V. Hatzivassiloglou, and J.Wilbur. 2006. A large scale, corpus-based approach for automatically disambigutaing biomedical abbreviations. ACM Transactions on Information Systems, 24(3):380-404.
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    • Yu, H.1    Kim, W.2    Hatzivassiloglou, V.3    Wilbur, J.4
  • 28
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    • ADAM: Another database of abbreviations in MEDLINE
    • W. Zhou, I. Vetle, and N. Smalheiser. 2006. ADAM: Another database of abbreviations in MEDLINE. Bioinformatics, 22(22):2813-2818.
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    • Zhou, W.1    Vetle, I.2    Smalheiser, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.