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Volumn , Issue , 2010, Pages 82-90

Taxonomy learning using word sense induction

Author keywords

[No Author keywords available]

Indexed keywords

DISTRIBUTIONAL SIMILARITIES; NATURAL LANGUAGE PROCESSING; SINGLE VECTORS; STATE-OF-THE-ART METHODS; UNSUPERVISED METHOD; WORD SENSE;

EID: 84858421418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (25)
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  • 3
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  • 4
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    • A ptotégé plug-in for ontology extraction from text based on linguistic analysis
    • Crete, Greece. CEUR-WS.org
    • P. Buitelaar, D. Olejnik, and M. Sintek. 2004. A Ptotégé Plug-in for Ontology Extraction from Text Based on Linguistic Analysis. In Proceedings of the 1st European Semantic Web Symposium, pages 31-44, Crete, Greece. CEUR-WS.org.
    • (2004) Proceedings of the 1st European Semantic Web Symposium , pp. 31-44
    • Buitelaar, P.1    Olejnik, D.2    Sintek, M.3
  • 5
    • 84880156784 scopus 로고    scopus 로고
    • Automatic construction of a hypernym-labeled noun hierarchy from text
    • College Park, Maryland
    • S. A. Caraballo. 1999. Automatic Construction of a Hypernym-labeled Noun Hierarchy from Text. In Proceedings of the 37th ACL Conference, pages 120-126, College Park, Maryland.
    • (1999) Proceedings of the 37th ACL Conference , pp. 120-126
    • Caraballo, S.A.1
  • 6
    • 85017371958 scopus 로고    scopus 로고
    • Comparing conceptual, divisive and agglomerative clustering for learning taxonomies from text
    • Valencia, Spain
    • P. Cimiano, A. Hotho, and S. Staab. 2004. Comparing Conceptual, Divisive and Agglomerative Clustering for Learning Taxonomies from Text. In Proceedings of the 16th ECAI Conference, pages 435-439, Valencia, Spain.
    • (2004) Proceedings of the 16th ECAI Conference , pp. 435-439
    • Cimiano, P.1    Hotho, A.2    Staab, S.3
  • 7
    • 31144459206 scopus 로고    scopus 로고
    • Learning concept hierarchies from text corpora using formal concept analysis
    • P. Cimiano, A. Hotho, and S. Staab. 2005. Learning Concept Hieararchies from Text Corpora Using Formal Concept Analysis. Journal of Artificial Intelligence Research, 24:305-339. (Pubitemid 43130939)
    • (2005) Journal of Artificial Intelligence Research , vol.24 , pp. 305-339
    • Cimiano, P.1    Hotho, A.2    Staab, S.3
  • 9
    • 85055298348 scopus 로고
    • 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):61-74.
    • (1993) Computational Linguistics , vol.19 , Issue.1 , pp. 61-74
    • Dunning, T.1
  • 14
    • 0012990385 scopus 로고
    • Automatic acquisition of hyponyms from large text corpora
    • Nantes, France
    • M. A. Hearst. 1992. Automatic Acquisition of Hyponyms from Large Text Corpora. In Proceedings of the 14th Coling Conference, pages 539-545, Nantes, France.
    • (1992) Proceedings of the 14th Coling Conference , pp. 539-545
    • Hearst, M.A.1
  • 15
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    • Incompletely and imprecisely speaking: Using dynamic ontologies for representing and retrieving information
    • Linkoping, Sweden. CEUR-WS.org
    • C. H. Hwang. 1999. Incompletely and Imprecisely Speaking: Using Dynamic Ontologies for Representing and Retrieving Information. In Proceedings of the 6th International Workshop on Knowledge Representation Meets Databases, pages 14-20, Linkoping, Sweden. CEUR-WS.org.
    • (1999) Proceedings of the 6th International Workshop on Knowledge Representation Meets Databases , pp. 14-20
    • Hwang, C.H.1
  • 17
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    • Word sense induction using graphs of collocations
    • Patras, Greece. IOS Press
    • I. P. Klapaftis and S. Manandhar. 2008. Word Sense Induction Using Graphs of Collocations. In Proceedings of the 18th ECAI Conference, pages 298-302, Patras, Greece. IOS Press.
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    • Klapaftis, I.P.1    Manandhar, S.2
  • 20
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  • 23
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    • Mining for lexons: Applying unsupervised learning methods to create ontology bases
    • M. L. Reinberger, P. Spyns, W. Daelemans, and R. Meersman. 2003. Mining for Lexons: Applying Unsupervised Learning Methods to create ontology bases. In CoopIS/DOA/ODBASE, pages 803-819.
    • (2003) CoopIS/DOA/ODBASE , pp. 803-819
    • Reinberger, M.L.1    Spyns, P.2    Daelemans, W.3    Meersman, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.