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Volumn 1999-June, Issue , 1999, Pages 246-253

Development and use of a gold-standard data set for subjectivity classifications

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 85130750145     PISSN: 0736587X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (351)

References (34)
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    • Recognizing subjectivity: A case study of manual tagging
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    • Evidentiality in English conversation and academic writing
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    • Bayesian classification (AutoClass): Theory and results
    • Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy, editors, AAAI Press/MIT Press
    • P. Cheeseman and J. Stutz. 1996. Bayesian classification (AutoClass): Theory and results. In Fayyad, Piatetsky-Shapiro, Smyth, and Uthurusamy, editors, Advances in Knowledge Discovery and Data Mining. AAAI Press/MIT Press.
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    • Dawid, A. P.1    Skene, A. M.2
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    • Accurate methods for the statistics of surprise and coincidence
    • T. Dunning. 1993. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1):75-102.
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    • L. Goodman. 1974. Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61:2:215-231.
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    • Madrid, Spain, July
    • V. Hatzivassiloglou and K. McKeown. 1997. Predicting the semantic orientation of adjectives. In ACL-EACL 1997, pages 174-181, Madrid, Spain, July.
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    • Latent structure analysis
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    • P. Lazarsfeld. 1966. Latent structure analysis. In S. A. Stouffer, L. Guttman, E. Such-man, P.Lazarfeld, S. Star, and J. Claussen, editors, Measurement and Prediction. Wiley, New York.
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    • Dialogue act tagging with transformation-based learning
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    • J. Wiebe, K. McKeever, and R. Bruce. 1998. Mapping collocational properties into machine learning features. In Proc. 6th Workshop on Very Large Corpora (WVLC-98), pages 225-233, Montreal, Canada, August. ACL SIGDAT.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.