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Volumn , Issue , 2013, Pages

Learning new facts from knowledge bases with neural tensor networks and semantic word vectors

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE BASED SYSTEMS; SEMANTICS; TENSORS;

EID: 85083952458     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (15)
  • 4
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    • Improving machine learning approaches to coreference resolution
    • V. Ng and C. Cardie. Improving machine learning approaches to coreference resolution. In ACL, 2002.
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    • Ng, V.1    Cardie, C.2
  • 5
    • 84899013308 scopus 로고    scopus 로고
    • Learning syntactic patterns for automatic hypernym discovery
    • R. Snow, D. Jurafsky, and A. Y. Ng. Learning syntactic patterns for automatic hypernym discovery. In NIPS, 2005.
    • (2005) NIPS
    • Snow, R.1    Jurafsky, D.2    Ng, A.Y.3
  • 6
    • 80053288463 scopus 로고    scopus 로고
    • Identifying relations for open information extraction
    • A. Fader, S. Soderland, and O. Etzioni. Identifying relations for open information extraction. In EMNLP, 2011.
    • (2011) EMNLP
    • Fader, A.1    Soderland, S.2    Etzioni, O.3
  • 7
    • 80053495924 scopus 로고    scopus 로고
    • Word representations: A simple and general method for semi-supervised learning
    • J. Turian, L. Ratinov, and Y. Bengio. Word representations: a simple and general method for semi-supervised learning. In Proceedings of ACL, pages 384–394, 2010.
    • (2010) Proceedings of ACL , pp. 384-394
    • Turian, J.1    Ratinov, L.2    Bengio, Y.3
  • 8
    • 84879866425 scopus 로고    scopus 로고
    • Joint learning of words and meaning representations for open-text semantic parsing
    • A. Bordes, X. Glorot, J. Weston, and Y. Bengio. Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. AISTATS, 2012.
    • (2012) AISTATS
    • Bordes, A.1    Glorot, X.2    Weston, J.3    Bengio, Y.4
  • 9
  • 10
    • 84858720748 scopus 로고    scopus 로고
    • Modelling relational data using bayesian clustered tensor factorization
    • I. Sutskever, R. Salakhutdinov, and J. B. Tenenbaum. Modelling relational data using Bayesian clustered tensor factorization. In NIPS, 2009.
    • (2009) NIPS
    • Sutskever, I.1    Salakhutdinov, R.2    Tenenbaum, J.B.3
  • 11
    • 84870715081 scopus 로고    scopus 로고
    • Semantic compositionality through recursive matrix-vector spaces
    • R. Socher, B. Huval, C. D. Manning, and A. Y. Ng. Semantic Compositionality Through Recursive Matrix-Vector Spaces. In EMNLP, 2012.
    • (2012) EMNLP
    • Socher, R.1    Huval, B.2    Manning, C.D.3    Ng, A.Y.4
  • 12
    • 84879850729 scopus 로고    scopus 로고
    • Factored 3-way restricted boltzmann machines for modeling natural images
    • M. Ranzato and A. Krizhevsky G. E. Hinton. Factored 3-Way Restricted Boltzmann Machines For Modeling Natural Images. AISTATS, 2010.
    • (2010) AISTATS
    • Ranzato, M.1    Krizhevsky, A.2    Hinton, G.E.3
  • 13
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • R. Collobert and J. Weston. A unified architecture for natural language processing: deep neural networks with multitask learning. In ICML, 2008.
    • (2008) ICML
    • Collobert, R.1    Weston, J.2
  • 15
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    • Improving word representations via global context and multiple word prototypes
    • E. H. Huang, R. Socher, C. D. Manning, and A. Y. Ng. Improving Word Representations via Global Context and Multiple Word Prototypes. In ACL, 2012.
    • (2012) ACL
    • Huang, E.H.1    Socher, R.2    Manning, C.D.3    Ng, A.Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.