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Volumn 1, Issue , 2006, Pages 105-112

Meaningful clustering of senses helps boost Word Sense Disambiguation performance

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MAPPING;

EID: 84860537708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220175.1220189     Document Type: Conference Paper
Times cited : (129)

References (27)
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    • Edmonds, P.1    Kilgariff, A.2
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    • Michael Lesk. 1986. Automatic sense disambiguation using machine readable dictionaries: how to tell a pine code from an ice cream cone. In Proc. of 5th Conf. on Systems Documentation. ACM Press.
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    • Lesk, M.1
  • 13
    • 67149129344 scopus 로고    scopus 로고
    • Senselearner: Minimally supervised word sense disambiguation for all words in open text
    • Barcelona, Spain
    • Rada Mihalcea and Ehsanul Faruque. 2004. Senselearner: Minimally supervised word sense disambiguation for all words in open text. In Proc. of ACL/SIGLEX Senseval-3. Barcelona, Spain.
    • (2004) Proc. of ACL/SIGLEX Senseval-3
    • Mihalcea, R.1    Faruque, E.2
  • 15
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    • Lexical cohesion computed by thesaural relations as an indicator of the structure of text
    • Jane Morris and Graeme Hirst. 1991. Lexical cohesion computed by thesaural relations as an indicator of the structure of text. Computational Linguistics, 17(1).
    • (1991) Computational Linguistics , vol.17 , Issue.1
    • Morris, J.1    Hirst, G.2
  • 16
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    • Roberto Navigli and Paola Velardi. 2004. Learning domain ontologies from document warehouses and dedicated websites. Computational Linguistics, 30(2).
    • (2004) Computational Linguistics , vol.30 , Issue.2
    • Navigli, R.1    Velardi, P.2
  • 18
    • 1542534884 scopus 로고    scopus 로고
    • A case study on the inter-annotator agreement for word sense disambiguation
    • College Park, Maryland
    • Hwee T. Ng, Chung Y. Lim, and Shou K. Foo. 1999. A case study on the inter-annotator agreement for word sense disambiguation. In Proc. of ACL Workshop: Standardizing Lexical Resources. College Park, Maryland.
    • (1999) Proc. of ACL Workshop: Standardizing Lexical Resources
    • Ng, H.T.1    Lim, C.Y.2    Foo, S.K.3
  • 23
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    • Pattern abstraction and term similarity for word sense disambiguation
    • Barcelona, Spain
    • Carlo Strapparava, Alfio Gliozzo, and Claudio Giuliano. 2004. Pattern abstraction and term similarity for word sense disambiguation. In Proc. of ACL/SIGLEX Senseval-3. Barcelona, Spain.
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    • Tree-cut and a lexicon based on systematic polysemy
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    • Noriko Tomuro. 2001. Tree-cut and a lexicon based on systematic polysemy. In Proc. of the Meeting of the NAACL. Pittsburgh, USA.
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    • Tomuro, N.1
  • 26
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    • Some experiments with a naive bayes wsd system
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  • 27
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    • Empirical and theoretical comparisons of selected criterion functions for document clustering
    • Ying Zhao and George Karypis. 2004. Empirical and theoretical comparisons of selected criterion functions for document clustering. Machine Learning, 55(3).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.