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Volumn 1, Issue , 2006, Pages 345-352

Automatic classification of verbs in biomedical texts

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 49949116900     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220219     Document Type: Conference Paper
Times cited : (20)

References (21)
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    • Dimitrov, A.G.1    Miller, J.P.2
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    • B. Dorr. 1997. Large-scale dictionary construction for foreign language tutoring and interlingual machine translation. Machine Translation, 12(4):271-325.
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    • Dorr, B.1
  • 6
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    • Two biomedical sublanguages: A description based on the theories of Zellig Harris
    • C. Friedman, P. Kra, and A. Rzhetsky. 2002. Two biomedical sublanguages: a description based on the theories of Zellig Harris. Journal of Biomedical Informatics, 35(4):222-235.
    • (2002) Journal of Biomedical Informatics , vol.35 , Issue.4 , pp. 222-235
    • Friedman, C.1    Kra, P.2    Rzhetsky, A.3
  • 7
    • 0037021407 scopus 로고    scopus 로고
    • Learning anchor verbs for biological interaction patterns from published text articles
    • V. Hatzivassiloglou and W. Weng. 2002. Learning anchor verbs for biological interaction patterns from published text articles. International Journal of Medical Inf., 67:19-32.
    • (2002) International Journal of Medical Inf. , vol.67 , pp. 19-32
    • Hatzivassiloglou, V.1    Weng, W.2
  • 8
    • 3943106585 scopus 로고    scopus 로고
    • Accomplishments and challenges in literature data mining for biology
    • L. Hirschman, J. C. Park, J. Tsujii, L. Wong, and C. H. Wu. 2002. Accomplishments and challenges in literature data mining for biology. Journal of Bioinformatics, 18(12):1553-1561.
    • (2002) Journal of Bioinformatics , vol.18 , Issue.12 , pp. 1553-1561
    • Hirschman, L.1    Park, J.C.2    Tsujii, J.3    Wong, L.4    Wu, C.H.5
  • 9
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hoffman. 2001. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1):177-196.
    • (2001) Machine Learning , vol.42 , Issue.1 , pp. 177-196
    • Hoffman, T.1
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    • 80053433810 scopus 로고
    • 100 million words of English: The British national corpus
    • G. Leech. 1992. 100 million words of English: the British National Corpus. Language Research, 28(1):1-13.
    • (1992) Language Research , vol.28 , Issue.1 , pp. 1-13
    • Leech, G.1
  • 16
    • 0039190150 scopus 로고    scopus 로고
    • Automatic verb classification based on statistical distributions of argument structure
    • P. Merlo and S. Stevenson. 2001. Automatic verb classification based on statistical distributions of argument structure. Computational Linguistics, 27(3):373-408.
    • (2001) Computational Linguistics , vol.27 , Issue.3 , pp. 373-408
    • Merlo, P.1    Stevenson, S.2
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  • 19
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    • Masterclass: A case-based reasoning system for the classification of biomedical terms
    • I. Spasic, S. Ananiadou, and J. Tsujii. 2005. Masterclass: A case-based reasoning system for the classification of biomedical terms. Journal of Bioinformatics, 21(11):2748-2758.
    • (2005) Journal of Bioinformatics , vol.21 , Issue.11 , pp. 2748-2758
    • Spasic, I.1    Ananiadou, S.2    Tsujii, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.