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Volumn , Issue , 2013, Pages 1372-1376

Simple customization of recursive neural networks for semantic relation classification

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SEMANTICS;

EID: 84926053925     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (111)

References (11)
  • 2
    • 0029727454 scopus 로고    scopus 로고
    • Learning task-dependent distributed representations by backpropagation through structure
    • Christoph Goller and Andreas Küchler. 1996. Learning Task-Dependent Distributed Representations by Backpropagation Through Structure. In ICNN.
    • (1996) ICNN
    • Goller, C.1    Küchler, A.2
  • 4
    • 84906929292 scopus 로고    scopus 로고
    • The role of syntax in vector space models of compositional semantics
    • Karl Moritz Hermann and Phil Blunsom. 2013. The Role of Syntax in Vector Space Models of Compositional Semantics. In ACL.
    • (2013) ACL
    • Hermann, K.M.1    Blunsom, P.2
  • 6
    • 41549159851 scopus 로고    scopus 로고
    • Feature forest models for probabilistic HPSG parsing
    • MIT Press
    • Yusuke Miyao and Jun'ichi Tsujii. 2008. Feature Forest Models for Probabilistic HPSG Parsing. In Computational Linguistics, 34(1):35-80, MIT Press.
    • (2008) Computational Linguistics , vol.34 , Issue.1 , pp. 35-80
    • Miyao, Y.1    Tsujii, J.2
  • 7
    • 84988673432 scopus 로고    scopus 로고
    • UTD: Classifying semantic relations by combining lexical and semantic resources
    • Bryan Rink and Sanda Harabagiu. 2010. UTD: Classifying Semantic Relations by Combining Lexical and Semantic Resources. In SemEval 2010.
    • (2010) SemEval 2010
    • Rink, B.1    Harabagiu, S.2
  • 8
    • 84870715081 scopus 로고    scopus 로고
    • Semantic compositionality through recursive matrix-vector spaces
    • Richard Socher, Brody Huval, Christopher D. Manning and Andrew Y. Ng. 2012. Semantic Compositionality Through Recursive Matrix-Vector Spaces. In EMNLP.
    • (2012) EMNLP
    • Socher, R.1    Huval, B.2    Manning, C.D.3    Ng, A.Y.4
  • 9
    • 84893795422 scopus 로고    scopus 로고
    • Parsing with compositional vector grammars
    • Richard Socher, John Bauer, Christopher D. Manning and Andrew Y. Ng. 2013. Parsing with Compositional Vector Grammars. In ACL.
    • (2013) ACL
    • Socher, R.1    Bauer, J.2    Manning, C.D.3    Ng, A.Y.4
  • 10
    • 77952681438 scopus 로고    scopus 로고
    • A tutorial on stochastic approximation algorithms for training restricted boltzmann machines and deep belief nets
    • Kevin Swersky, Bo Chen, Ben Marlin and Nando de Freitas. 2010. A tutorial on stochastic approximation algorithms for training Restricted Boltzmann Machines and Deep Belief Nets. In ITA workshop.
    • (2010) ITA Workshop
    • Swersky, K.1    Chen, B.2    Marlin, B.3    De Freitas, N.4
  • 11
    • 84860532294 scopus 로고    scopus 로고
    • A composite kernel to extract relations between entities with both flat and structured features
    • Min Zhang, Jie Zhang, Jian Su and Guodong Zhou. 2006. A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features. In COLING/ACL.
    • (2006) COLING/ACL
    • Zhang, M.1    Zhang, J.2    Su, J.3    Zhou, G.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.