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Volumn 54, Issue , 2013, Pages 216-229

Semantic smoothing for text clustering

Author keywords

Generalized vector space model kernel; Semantic smoothing kernels; Text clustering; Wikipedia; WordNet

Indexed keywords

CLUSTER ANALYSIS; INFORMATION RETRIEVAL; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY; QUALITY CONTROL; SEMANTICS; TEXT PROCESSING; VECTOR SPACES;

EID: 84901747893     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2013.09.012     Document Type: Article
Times cited : (44)

References (45)
  • 3
    • 84948177273 scopus 로고    scopus 로고
    • Mining the web for synonyms: Pmi-IR versus LSA on TOEFL
    • M. Turney, Mining the web for synonyms: PMI-IR versus LSA on TOEFL, in: Proceedings of the 12th ECML, 2001, pp. 491-502.
    • (2001) Proceedings of the 12th ECML , pp. 491-502
    • Turney, M.1
  • 5
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • G. Salton, A. Wong, C.S. Yang, A vector space model for automatic indexing, Communications of the ACM 18 (11) (1975) 613-620.
    • (1975) Communications of the ACM , vol.18 , Issue.11 , pp. 613-620
    • Salton, G.1    Wong, A.2    Yang, C.S.3
  • 7
    • 80053966832 scopus 로고    scopus 로고
    • A knowledge-based semantic kernel for text classification
    • J.A. Nasir, A. Karim, G. Tsatsaronis, I. Varlamis, A knowledge-based semantic kernel for text classification, in: SPIRE, 2011, pp. 261-266.
    • (2011) SPIRE , pp. 261-266
    • Nasir, J.A.1    Karim, A.2    Tsatsaronis, G.3    Varlamis, I.4
  • 8
    • 77957556167 scopus 로고    scopus 로고
    • Knowledge-based vector space model for text clustering
    • L. Jing, M.K. Ng, J.Z. Huang, Knowledge-based vector space model for text clustering, Knowl. Inf. Syst. 25 (1) (2010) 35-55, http://dx.doi.org/10.1007/ s10115-009-0256-5.
    • (2010) Knowl. Inf. Syst. , vol.25 , Issue.1 , pp. 35-55
    • Jing, L.1    Ng, M.K.2    Huang, J.Z.3
  • 9
    • 33646760990 scopus 로고    scopus 로고
    • Evaluating WordNet-based measures of lexical semantic relatedness
    • A. Budanitsky, G. Hirst, Evaluating WordNet-based measures of lexical semantic relatedness, Comput. Ling. 32 (1) (2006) 13-47.
    • (2006) Comput. Ling. , vol.32 , Issue.1 , pp. 13-47
    • Budanitsky, A.1    Hirst, G.2
  • 10
    • 84871084586 scopus 로고    scopus 로고
    • Recent advances in methods of lexical semantic relatedness - A survey
    • doi
    • Z. Zhang, A. Gentile, F. Ciravegna, Recent advances in methods of lexical semantic relatedness - a survey, Nat. Lang. Eng., doi: http://dx.doi.org/10. 1017/S1351324912000125.
    • Nat. Lang. Eng.
    • Zhang, Z.1    Gentile, A.2    Ciravegna, F.3
  • 13
    • 61949087310 scopus 로고    scopus 로고
    • Word sense disambiguation: A survey
    • R. Navigli, Word sense disambiguation: a survey, ACM Comput. Surv. 41 (2) (2009) 10:1-10:69.
    • (2009) ACM Comput. Surv. , vol.41 , Issue.2 , pp. 101-1069
    • Navigli, R.1
  • 14
    • 0027718887 scopus 로고
    • Using wordnet to disambiguate word sense for text retrieval
    • ACM
    • E. Voorhees, Using wordnet to disambiguate word sense for text retrieval, in: Proceedings of the 16th SIGIR, ACM, 1993, pp. 171-180.
    • (1993) Proceedings of the 16th SIGIR , pp. 171-180
    • Voorhees, E.1
  • 15
    • 80051504927 scopus 로고    scopus 로고
    • Concept-based information retrieval using explicit semantic analysis
    • O. Egozi, S. Markovitch, E. Gabrilovich, Concept-based information retrieval using explicit semantic analysis, ACM Trans. Inf. Syst. 29 (2) (2011) 8.
    • (2011) ACM Trans. Inf. Syst. , vol.29 , Issue.2 , pp. 8
    • Egozi, O.1    Markovitch, S.2    Gabrilovich, E.3
  • 16
    • 33847153081 scopus 로고    scopus 로고
    • The phrase-based vector space model for automatic retrieval of free-text medical documents
    • W. Mao, W.W. Chu, The phrase-based vector space model for automatic retrieval of free-text medical documents, Data Knowl. Eng. 61 (1) (2007) 76-92, http://dx.doi.org/10.1016/j.datak.2006.02.008.
    • (2007) Data Knowl. Eng. , vol.61 , Issue.1 , pp. 76-92
    • Mao, W.1    Chu, W.W.2
  • 17
    • 38149036711 scopus 로고    scopus 로고
    • Combining vector space model and multi-word term extraction for semantic query expansion
    • E. SanJuan, F. Ibekwe-Sanjuan, J.M.T. Moreno, P. Velázquez- Morales, Combining vector space model and multi-word term extraction for semantic query expansion, in: NLDB, 2007, pp. 252-263.
    • (2007) NLDB , pp. 252-263
    • SanJuan, E.1    Ibekwe-Sanjuan, F.2    Moreno, J.M.T.3    Velázquez-Morales, P.4
  • 18
    • 56349148703 scopus 로고    scopus 로고
    • Semantic smoothing of document models for agglomerative clustering
    • X. Zhou, X. Zhang, X. Hu, Semantic smoothing of document models for agglomerative clustering, in: IJCAI, 2007, pp. 2928-2933.
    • (2007) IJCAI , pp. 2928-2933
    • Zhou, X.1    Zhang, X.2    Hu, X.3
  • 20
    • 79959506150 scopus 로고    scopus 로고
    • Composite kernels for semi-supervised clustering
    • C. Domeniconi, J. Peng, B. Yan, Composite kernels for semi-supervised clustering, Knowl. Inf. Syst. 28 (1) (2011) 99-116.
    • (2011) Knowl. Inf. Syst. , vol.28 , Issue.1 , pp. 99-116
    • Domeniconi, C.1    Peng, J.2    Yan, B.3
  • 21
    • 81855177430 scopus 로고    scopus 로고
    • Efficient semantic kernel-based text classification using matching pursuit kfda
    • Q. Zhang, J. Li, Z. Zhang, Efficient semantic kernel-based text classification using matching pursuit kfda, in: ICONIP, Vol. 2, 2011, pp. 382-390.
    • (2011) ICONIP , vol.2 , pp. 382-390
    • Zhang, Q.1    Li, J.2    Zhang, Z.3
  • 22
    • 79961208617 scopus 로고    scopus 로고
    • On ontology-driven document clustering using core semantic features
    • S.J. Fodeh, W.F. Punch, P.-N. Tan, On ontology-driven document clustering using core semantic features, Knowl. Inf. Syst. 28 (2) (2011) 395-421.
    • (2011) Knowl. Inf. Syst. , vol.28 , Issue.2 , pp. 395-421
    • Fodeh, S.J.1    Punch, W.F.2    Tan, P.-N.3
  • 23
    • 64549105240 scopus 로고    scopus 로고
    • Exploiting noun phrases and semantic relationships for text document clustering
    • H.-T. Zheng, B.-Y. Kang, H.-G. Kim, Exploiting noun phrases and semantic relationships for text document clustering, Inf. Sci. 179 (13) (2009) 2249-2262, http://dx.doi.org/10.1016/j.ins.2009.02.019.
    • (2009) Inf. Sci. , vol.179 , Issue.13 , pp. 2249-2262
    • Zheng, H.-T.1    Kang, B.-Y.2    Kim, H.-G.3
  • 27
    • 70349962448 scopus 로고    scopus 로고
    • A generalized vector space model for text retrieval based on semantic relatedness
    • EACL '09, Association for Computational Linguistics, Stroudsburg, PA, USA
    • G. Tsatsaronis, V. Panagiotopoulou, A generalized vector space model for text retrieval based on semantic relatedness, in: Proceedings of the 12th EACL Conference: Student Research Workshop, EACL '09, Association for Computational Linguistics, Stroudsburg, PA, USA, 2009, pp. 70-78.
    • (2009) Proceedings of the 12th EACL Conference: Student Research Workshop , pp. 70-78
    • Tsatsaronis, G.1    Panagiotopoulou, V.2
  • 29
    • 84859887839 scopus 로고    scopus 로고
    • An extensive empirical study of collocation extraction methods
    • Ann Arbor, MI, USA
    • P. Pecina, An extensive empirical study of collocation extraction methods, in: Proceedings of the ACL Student Research Workshop, Ann Arbor, MI, USA, 2005, pp. 13-18.
    • (2005) Proceedings of the ACL Student Research Workshop , pp. 13-18
    • Pecina, P.1
  • 33
    • 24044537630 scopus 로고    scopus 로고
    • Hierarchical clustering algorithms for document datasets
    • Y. Zhao, G. Karypis, U. Fayyad, Hierarchical clustering algorithms for document datasets, Data Min. Knowl. Discov. 10 (2) (2005) 141-168, http://dx.doi.org/10.1007/s10618-005-0361-3.
    • (2005) Data Min. Knowl. Discov. , vol.10 , Issue.2 , pp. 141-168
    • Zhao, Y.1    Karypis, G.2    Fayyad, U.3
  • 34
    • 25844488029 scopus 로고    scopus 로고
    • Document clustering using nonnegative matrix factorization
    • F. Shahnaz, M.W. Berry, V.P. Pauca, R.J. Plemmons, Document clustering using nonnegative matrix factorization, Inf. Process. Manage. 42 (2) (2006) 373-386, http://dx.doi.org/10.1016/j.ipm.2004.11.005.
    • (2006) Inf. Process. Manage. , vol.42 , Issue.2 , pp. 373-386
    • Shahnaz, F.1    Berry, M.W.2    Pauca, V.P.3    Plemmons, R.J.4
  • 35
    • 0001093042 scopus 로고    scopus 로고
    • Algorithms for non-negative matrix factorization
    • D.D. Lee, H.S. Seung, Algorithms for non-negative matrix factorization, in: Proceedings of NIPS, 2000, pp. 556-562.
    • (2000) Proceedings of NIPS , pp. 556-562
    • Lee, D.D.1    Seung, H.S.2
  • 36
    • 1542347778 scopus 로고    scopus 로고
    • Document clustering based on non-negative matrix factorization
    • X.L. Wei Xu, Y. Gong, Document clustering based on non-negative matrix factorization, in: Proceedings of SIGIR, 2005, pp. 267-273.
    • (2005) Proceedings of SIGIR , pp. 267-273
    • Wei Xu, X.L.1    Gong, Y.2
  • 37
    • 0038163983 scopus 로고    scopus 로고
    • University of Minnesota, Department of Computer Science, November
    • G. Karypis, Cluto: A Clustering Toolkit, University of Minnesota, Department of Computer Science, November 2003.
    • (2003) Cluto: A Clustering Toolkit
    • Karypis, G.1
  • 43
    • 67650932694 scopus 로고    scopus 로고
    • A comparison of extrinsic clustering evaluation metrics based on formal constraints
    • E. Amigó, J. Gonzalo, J. Artiles, F. Verdejo, A comparison of extrinsic clustering evaluation metrics based on formal constraints, Inf. Retr. 12 (4) (2009) 461-486, http://dx.doi.org/10.1007/s10791-008-9066-8.
    • (2009) Inf. Retr. , vol.12 , Issue.4 , pp. 461-486
    • Amigó, E.1    Gonzalo, J.2    Artiles, J.3    Verdejo, F.4
  • 45
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar, Statistical comparisons of classifiers over multiple data sets, J. Mach. Learn. Res. 7 (2006) 1-30.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1-30
    • Demsar, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.