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Volumn , Issue , 2012, Pages 1498-1504

A new method for evaluating automatically learned terminological taxonomies

Author keywords

Gold standard evaluation; Hierarchical cluster; Taxonomy learning

Indexed keywords

GOLD; HIERARCHICAL SYSTEMS;

EID: 85021660180     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (17)
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    • Guarino, N.1    Welty, C.2
  • 5
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    • Automatic acquisition of hyponyms from large text corpora
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  • 7
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    • Ontology learning part one: On discovering taxonomic relations from the web
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    • (2002) Proceedings of Web Intelligence , pp. 301-322
    • Maedche, A.1    Pekar, V.2    Staab, S.3
  • 8
    • 84899051163 scopus 로고
    • An adjustment to the rand statistic for chance agreement
    • L. C. Morey and A. Agresti. 1981. An adjustment to the rand statistic for chance agreement. In The Classification Society Bulletin, volume 5, pages 9-10.
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    • Morey, L.C.1    Agresti, A.2
  • 9
    • 80053605999 scopus 로고    scopus 로고
    • Learning word-class lattices for definition and hypernym extraction
    • Uppsala, Sweden
    • R. Navigli and P. Velardi. 2010. Learning Word-Class Lattices for definition and hypernym extraction. In Proceedings of ACL, pages 1318-1327, Uppsala, Sweden.
    • (2010) Proceedings of ACL , pp. 1318-1327
    • Navigli, R.1    Velardi, P.2
  • 11
    • 84950632109 scopus 로고
    • Objective criteria for the evaluation of clustering methods
    • W. M. Rand. 1971. Objective criteria for the evaluation of clustering methods. In Journal of the American Statistical Association, pages 66(336):846-850.
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.336 , pp. 846-850
    • Rand, W.M.1
  • 12
    • 51449115991 scopus 로고    scopus 로고
    • Semantic taxonomy induction from heterogeneous evidence
    • R. Snow, D. Jurafsky, and A. Ng. 2006. Semantic taxonomy induction from heterogeneous evidence. In Proc. of COLING-ACL, pages 801-808.
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    • Snow, R.1    Jurafsky, D.2    Ng, A.3
  • 14
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    • Comparing clusterings-an overview
    • S. Wagner and D. Wagner. 2007. Comparing clusterings-an overview. Analysis, 4769:1-19.
    • (2007) Analysis , vol.4769 , pp. 1-19
    • Wagner, S.1    Wagner, D.2
  • 16
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    • A metric-based framework for automatic taxonomy induction
    • Stroudsburg, USA
    • H. Yang and J. Callan. 2009. A metric-based framework for automatic taxonomy induction. In Proceedings of ACL, pages 271-279, Stroudsburg, USA.
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  • 17
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    • Gold standard evaluation of ontology learning methods through ontology transformation and alignment
    • E. Zavitsanos, G. Paliouras, and G. A. Vouros. 2011. Gold standard evaluation of ontology learning methods through ontology transformation and alignment. In IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 23, pages 1635-1648.
    • (2011) IEEE Transactions on Knowledge and Data Engineering (TKDE) , vol.23 , pp. 1635-1648
    • Zavitsanos, E.1    Paliouras, G.2    Vouros, G.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.