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Volumn , Issue , 2007, Pages 355-362

A graph modeling of semantic similarity between words

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; DECISION SUPPORT SYSTEMS; INFORMATION MANAGEMENT; INFORMATION SERVICES; SEARCH ENGINES; SEMANTICS;

EID: 47749121799     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSC.2007.23     Document Type: Conference Paper
Times cited : (66)

References (22)
  • 1
    • 33646760990 scopus 로고    scopus 로고
    • Evaluating wordnet-based measures of lexical semantic relatedness
    • A. Budanitsky and G. Hirst. Evaluating wordnet-based measures of lexical semantic relatedness. Computational Linguistics, 32(1):13-47, 2006.
    • (2006) Computational Linguistics , vol.32 , Issue.1 , pp. 13-47
    • Budanitsky, A.1    Hirst, G.2
  • 4
    • 33645230706 scopus 로고    scopus 로고
    • Multi-document person name resolution
    • S. Harabagiu and D. Farwell, editors, Barcelona, Spain, July, Association for Computational Linguistics
    • M. Fleischman and E. Hovy. Multi-document person name resolution. In S. Harabagiu and D. Farwell, editors, Proceedings of the Workshop on Reference Resolution and its Applications, pages 1-8, Barcelona, Spain, July 2004. Association for Computational Linguistics.
    • (2004) Proceedings of the Workshop on Reference Resolution and its Applications , pp. 1-8
    • Fleischman, M.1    Hovy, E.2
  • 7
    • 0012992939 scopus 로고    scopus 로고
    • Lexical chains as representations of context for the detection and correction of malapropisms
    • C. Fellbaum, editor, MIT Press
    • G. Hirst and D. S. Onge. Lexical chains as representations of context for the detection and correction of malapropisms. In C. Fellbaum, editor, WordNet: An Electronic Lexical Database, pages 305-332. MIT Press, 1998.
    • (1998) WordNet: An Electronic Lexical Database , pp. 305-332
    • Hirst, G.1    Onge, D.S.2
  • 11
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and wordnet similarity for word sense identification
    • C. Fellbaum, editor, MIT Press
    • C. Leacock and M. Chodorow. Combining local context and wordnet similarity for word sense identification. In C. Fellbaum, editor, WordNet: An Electronic Lexical Database, pages 265-283. MIT Press, 1998.
    • (1998) WordNet: An Electronic Lexical Database , pp. 265-283
    • Leacock, C.1    Chodorow, M.2
  • 12
    • 0042850512 scopus 로고    scopus 로고
    • An approach for measuring semantic similarity between words using multiple information sources
    • Y. Li, Z. Bandar, and D. McLean. An approach for measuring semantic similarity between words using multiple information sources. IEEE Transactions on Knowledge and Data Engineering, 15(4):871-882, 2003.
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.4 , pp. 871-882
    • Li, Y.1    Bandar, Z.2    McLean, D.3
  • 19
    • 0002016474 scopus 로고    scopus 로고
    • Semantic similarity in a taxonomy: An information based measure and its application to problems of ambiguity in natural language
    • P. Resnik. Semantic similarity in a taxonomy: An information based measure and its application to problems of ambiguity in natural language. Journal of Artificial Intelligence Research, 11:95-130, 1999.
    • (1999) Journal of Artificial Intelligence Research , vol.11 , pp. 95-130
    • Resnik, P.1
  • 22
    • 84868695115 scopus 로고    scopus 로고
    • Measuring semantic similarity in the taxonomy of wordnet
    • Newcastle,Australia, Jan/Feb, Australian Computer Society
    • D. Yang and D. M.W. Powers. Measuring semantic similarity in the taxonomy of wordnet. In Proceedings of the 28th Australasian Computer Science Conference, pages 315-322, Newcastle,Australia, Jan/Feb 2005. Australian Computer Society.
    • (2005) Proceedings of the 28th Australasian Computer Science Conference , pp. 315-322
    • Yang, D.1    Powers, D.M.W.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.