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Volumn SS-09-08, Issue , 2009, Pages 39-44

Effective extraction of thematically grouped key terms from text

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNITY STRUCTURES; EXPERIMENTAL EVALUATION; HIGH PRECISION; KNOWLEDGE BASE; NOVEL METHODS; SEMANTIC RELATEDNESS; TEXT DOCUMENT; WIKIPEDIA;

EID: 70350610940     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (23)
  • 2
    • 41349117788 scopus 로고    scopus 로고
    • Finding community structure in very large networks
    • Clauset, A.; Newman, M. E. J.; and Moore, C. 2004. Finding community structure in very large networks. Physical Review E 70: 066111.
    • (2004) Physical Review E , vol.70 , pp. 066111
    • Clauset, A.1    Newman, M.E.J.2    Moore, C.3
  • 3
    • 52649152249 scopus 로고    scopus 로고
    • Automatic extraction of useful facet hierarchies from text databases
    • IEEE
    • Dakka, W., and Ipeirotis, P. G. 2008. Automatic extraction of useful facet hierarchies from text databases. In ICDE, 466-475. IEEE.
    • (2008) ICDE , pp. 466-475
    • Dakka, W.1    Ipeirotis, P.G.2
  • 4
    • 0000432228 scopus 로고
    • Networks of scientific papers
    • de Solla Price, D. J. 1965. Networks of scientific papers. Science 169: 510-515.
    • (1965) Science , vol.169 , pp. 510-515
    • De Solla Price, D.J.1
  • 7
    • 0014489272 scopus 로고
    • Metabolic stability and epigen-esis in randomly constructed genetic nets
    • Kauffman, S. A. 1969. Metabolic stability and epigen-esis in randomly constructed genetic nets. J Theor Biol 22(3): 437-467.
    • (1969) J Theor Biol , vol.22 , Issue.3 , pp. 437-467
    • Kauffman, S.A.1
  • 11
    • 78651070344 scopus 로고    scopus 로고
    • Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for se-quence data labeling
    • Morristown, NJ, USA: Association for Computational Linguistics
    • Mihalcea, R. 2005. Unsupervised large-vocabulary word sense disambiguation with graph-based algorithms for sequence data labeling. In HUT '05: Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing, 411-418. Morristown, NJ, USA: Association for Computational Linguistics.
    • (2005) HUT '05: Proceedings of The Conference on Human Language Technology and Empirical Methods In Natural Language Processing , pp. 411-418
    • Mihalcea, R.1
  • 16
    • 37649028224 scopus 로고    scopus 로고
    • Finding and evaluating community structure in networks
    • Newman, M. E. J., and Girvan, M. 2004. Finding and evaluating community structure in networks. Physical Review E 69: 026113.
    • (2004) Physical Review E , vol.69 , pp. 026113
    • Newman, M.E.J.1    Girvan, M.2
  • 17
    • 0031622508 scopus 로고    scopus 로고
    • How popular is your paper? An empirical study of the citation distribution
    • Redner, S. 1998. How popular is your paper? an empirical study of the citation distribution. The European Physical Journal B 4: 131.
    • (1998) The European Physical Journal B , vol.4 , pp. 131
    • Redner, S.1
  • 18
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • Salton, G., and Buckley, C. 1988. Term-weighting approaches in automatic text retrieval. Inf. Process. Manage. 24(5): 513-523.
    • (1988) Inf. Process. Manage. , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 19
    • 47749142466 scopus 로고    scopus 로고
    • Unsupervised graph-basedword sense disambiguation using measures of word semantic similarity
    • Washington, DC, USA: IEEE Computer Society
    • Sinha, R., and Mihalcea, R. 2007. Unsupervised graph-basedword sense disambiguation using measures of word semantic similarity. In ICSC '07: Proceedings of the International Conference on Semantic Computing, 363-369. Washington, DC, USA: IEEE Computer Society.
    • (2007) ICSC '07: Proceedings of the International Conference on Semantic Computing , pp. 363-369
    • Sinha, R.1    Mihalcea, R.2
  • 22
    • 70350606430 scopus 로고    scopus 로고
    • Semantic relatedness metric for wikipedia concepts based on link analysis and its application to word sense disambiguation
    • Turdakov, D., and Velikhov, P. 2008. Semantic relatedness metric for wikipedia concepts based on link analysis and its application to word sense disambiguation. In Colloquium on Databases and Information Systems (SYRCoDIS).
    • (2008) Colloquium on Databases and Information Systems (SYRCoDIS)
    • Turdakov, D.1    Velikhov, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.