메뉴 건너뛰기




Volumn 1, Issue , 2008, Pages 809-816

Acquiring sense tagged examples using relevance feedback

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA ACQUISITION; SUPERVISED LEARNING;

EID: 78650821533     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1599081.1599183     Document Type: Conference Paper
Times cited : (10)

References (24)
  • 8
    • 0346336042 scopus 로고    scopus 로고
    • Using corpus statistics and WordNet relations for sense identification
    • C. Leacock, M. Chodorow, and G. Miller. 1998. Using corpus statistics and WordNet relations for sense identification. Computational Linguistics, 24(1): 147-165.
    • (1998) Computational Linguistics , vol.24 , Issue.1 , pp. 147-165
    • Leacock, C.1    Chodorow, M.2    Miller, G.3
  • 9
    • 22544444644 scopus 로고    scopus 로고
    • Effects of information and machine learning algorithms on word sense disambiguation with small datasets
    • G. Leroy and T. Rindflesch. 2005. Effects of Information and Machine Learning algorithms on Word Sense Disambiguation with small datasets. International Journal of Medical Informatics, 74(7-8):573-585.
    • (2005) International Journal of Medical Informatics , vol.74 , Issue.7-8 , pp. 573-585
    • Leroy, G.1    Rindflesch, T.2
  • 10
    • 85050285247 scopus 로고
    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone
    • Toronto, Canada
    • M. Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine cone from an ice cream cone. In Proceedings of ACM SIGDOC Conference, pages 24-26, Toronto, Canada.
    • (1986) Proceedings of ACM SIGDOC Conference , pp. 24-26
    • Lesk, M.1
  • 11
    • 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
  • 23
    • 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.
    • (2001) Proceedings of AMAI Symposium , pp. 746-750
    • Weeber, M.1    Mork, J.2    Aronson, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.