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Volumn , Issue , 2006, Pages 1-8

Improving context vector models by feature clustering for automatic thesaurus construction

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 70349455587     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (15)
  • 4
    • 85118725743 scopus 로고    scopus 로고
    • Unsupervised methods for developing taxonomies by combining syntactic and statistical information
    • Dominic Widdows. 2003. Unsupervised methods for developing taxonomies by combining syntactic and statistical information. In Proceeding of HLT-NAACL 2003 Main papers, pp, 197-204.
    • (2003) Proceeding of HLT-NAACL 2003 Main papers , pp. 197-204
    • Widdows, Dominic1
  • 5
    • 0022906994 scopus 로고
    • Implement agglomerative hierarchical clustering algorithm for use in document retrieval
    • E.M. Voorhees, “Implement agglomerative hierarchical clustering algorithm for use in document retrieval”, Information Processing & Management., no. 22 pp.46-476,1986
    • (1986) Information Processing & Management , Issue.22 , pp. 46-476
    • Voorhees, E.M.1
  • 9
    • 0025952277 scopus 로고
    • Divergence measures based on the Shannon Entropy
    • Jiahua Lin. 1991. Divergence measures based on the Shannon Entropy. IEEE transactions on Information Theory, 37(1): 145-151
    • (1991) IEEE transactions on Information Theory , vol.37 , Issue.1 , pp. 145-151
    • Lin, Jiahua1
  • 10
    • 33645994610 scopus 로고    scopus 로고
    • On the effectiveness of the skew divergence for statistical language analysis
    • Lillian Lee. 2001. On the effectiveness of the skew divergence for statistical language analysis. In Artificial Intelligence and Statistics 2001, page 65-72.
    • (2001) Artificial Intelligence and Statistics 2001 , pp. 65-72
    • Lee, Lillian1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.