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Volumn , Issue , 2010, Pages 129-133

COLEUR and COLSLM: A WSD approach to multilingual lexical substitution, tasks 2 and 3 SemEval 2010

Author keywords

[No Author keywords available]

Indexed keywords

SEMANTICS;

EID: 84996564175     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (25)
  • 6
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    • Guo, W.1    Diab, M.2
  • 7
    • 80053258997 scopus 로고    scopus 로고
    • Combining orthogonal monolingual and multilingual sources of evidence for All Words WSD
    • GUO W. & DIAB M. (2010). "Combining orthogonal monolingual and multilingual sources of evidence for All Words WSD". In ACL 2010.
    • (2010) ACL 2010
    • Guo, W.1    Diab, M.2
  • 9
    • 0002487107 scopus 로고    scopus 로고
    • Word sense disambiguation: The state of the art
    • IDE N. & V RONIS J. (1998). Word sense disambiguation: The state of the art. In Computational Linguistics, p. 1-40.
    • (1998) Computational Linguistics , pp. 1-40
    • Ide, N.1    Ronis, V.J.2
  • 11
    • 0002542095 scopus 로고    scopus 로고
    • Combining local context and wordnet sense similarity for word sense identification
    • The MIT Press
    • LEACOCK C. & CHODOROW M. (1998). Combining local context and wordnet sense similarity for word sense identification. In WordNet, An Electronic Lexical Database: The MIT Press.
    • (1998) WordNet, an Electronic Lexical Database
    • Leacock, C.1    Chodorow, M.2
  • 13
    • 85050285247 scopus 로고
    • Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone
    • Toronto
    • LESK M. (1986). Automatic sense disambiguation using machine readable dictionaries: How to tell a pine cone from an ice cream cone. In In Proceedings of the SIGDOC Conference, Toronto.
    • (1986) Proceedings of the SIGDOC Conference
    • Lesk, M.1
  • 16
    • 78651070344 scopus 로고    scopus 로고
    • Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling
    • Vancouver, British Columbia, Canada: Association for Computational Linguistics
    • MIHALCEA R. (2005). Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling. In Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, p. 411-418, Vancouver, British Columbia, Canada: Association for Computational Linguistics.
    • (2005) Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing , pp. 411-418
    • Mihalcea, R.1
  • 17
    • 84976702763 scopus 로고
    • Wordnet: A lexical database for english
    • MILLER G. A. (1990). Wordnet: a lexical database for english. In Communications of the ACM, p. 39-41.
    • (1990) Communications of the ACM , pp. 39-41
    • Miller, G.A.1
  • 18
    • 61949087310 scopus 로고    scopus 로고
    • Word sense disambiguation: A survey
    • ACM Press
    • NAVIGLI R. (2009). Word sense disambiguation: a survey. In ACM Computing Surveys, p. 1-69: ACM Press.
    • (2009) ACM Computing Surveys , pp. 1-69
    • Navigli, R.1
  • 19
    • 0042879653 scopus 로고    scopus 로고
    • A systematic comparison of various statistical alignment models
    • OCH F. J. & NEY H. (2003). A systematic comparison of various statistical alignment models. Computational Linguistics, 29(1), 19-51.
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    • Och, F.J.1    Ney, H.2


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