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Volumn , Issue , 2009, Pages 36-43

Optimizing textual entailment recognition using particle swarm optimization

Author keywords

[No Author keywords available]

Indexed keywords

COST BENEFIT ANALYSIS; COST ESTIMATING; FORESTRY; NATURAL LANGUAGE PROCESSING SYSTEMS; PARTICLE SWARM OPTIMIZATION (PSO); TREES (MATHEMATICS);

EID: 77958540485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (20)
  • 2
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    • Bhattacharyya, A.1
  • 9
    • 84898970714 scopus 로고    scopus 로고
    • Fast exact inference with a factored model for natural language parsing
    • Cambridge, MA. MIT Press
    • Dan Klein and Christopher D. Manning. 2003. Fast exact inference with a factored model for natural language parsing. In Advances in Neural Information Processing Systems 15, pages 3-10, Cambridge, MA. MIT Press.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 3-10
    • Klein, Dan1    Manning, Christopher D.2
  • 11
    • 33745847093 scopus 로고    scopus 로고
    • Recognizing textual entailment with tree edit distance algorithms
    • Milen Kouylekov and Bernardo Magnini. 2005. Recognizing textual entailment with tree edit distance algorithms. In PASCAL Challenges on RTE, pages 17-20.
    • (2005) PASCAL Challenges on RTE , pp. 17-20
    • Kouylekov, Milen1    Magnini, Bernardo2
  • 12
    • 37149048515 scopus 로고    scopus 로고
    • Tree edit distance for recognizing textual entailment: Estimating the cost of insertion
    • Milen Kouylekov and Bernardo Magnini. 2006. Tree edit distance for recognizing textual entailment: Estimating the cost of insertion. In PASCAL RTE-2 Challenge.
    • (2006) PASCAL RTE-2 Challenge
    • Kouylekov, Milen1    Magnini, Bernardo2
  • 15
    • 51749123574 scopus 로고    scopus 로고
    • Classification of electrocardiogram signals with support vector machines and particle swarm optimization
    • Farid Melgani and Yakoub Bazi. 2008. Classification of electrocardiogram signals with support vector machines and particle swarm optimization. IEEE Transactions on Information Technology in Biomedicine, 12(5):667-677.
    • (2008) IEEE Transactions on Information Technology in Biomedicine , vol.12 , Issue.5 , pp. 667-677
    • Melgani, Farid1    Bazi, Yakoub2
  • 16
    • 10044252062 scopus 로고    scopus 로고
    • A probabilistic approach to learning costs for graph edit distance
    • Washington, DC, USA. IEEE Computer Society
    • Michel Neuhaus and Horst Bunke. 2004. A probabilistic approach to learning costs for graph edit distance. In ICPR'04, pages 389-393, Washington, DC, USA. IEEE Computer Society.
    • (2004) ICPR'04 , pp. 389-393
    • Neuhaus, Michel1    Bunke, Horst2
  • 17
    • 33244489131 scopus 로고    scopus 로고
    • The bhattacharyya space for feature selection and its application to texture segmentation
    • C. C. Reyes-Aldasoro and A. Bhalerao. 2006. The bhattacharyya space for feature selection and its application to texture segmentation. Pattern Recogn., 39(5):812-826.
    • (2006) Pattern Recogn , vol.39 , Issue.5 , pp. 812-826
    • Reyes-Aldasoro, C. C.1    Bhalerao, A.2
  • 18
    • 0001122858 scopus 로고
    • The tree-to-tree editing problem
    • Stanley M. Selkow. 1977. The tree-to-tree editing problem. Inf. Process. Lett., 6(6):184-186.
    • (1977) Inf. Process. Lett , vol.6 , Issue.6 , pp. 184-186
    • Selkow, Stanley M.1
  • 19
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    • The tree-to-tree correction problem
    • Kuo-Chung Tai. 1979. The tree-to-tree correction problem. J. ACM, 26(3):422-433.
    • (1979) J. ACM , vol.26 , Issue.3 , pp. 422-433
    • Tai, Kuo-Chung1
  • 20
    • 0024889169 scopus 로고
    • Simple fast algorithms for the editing distance between trees and related problems
    • K. Zhang and D. Shasha. 1989. Simple fast algorithms for the editing distance between trees and related problems. SIAM J. Comput., 18(6):1245-1262.
    • (1989) SIAM J. Comput , vol.18 , Issue.6 , pp. 1245-1262
    • Zhang, K.1    Shasha, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.