메뉴 건너뛰기




Volumn , Issue , 2014, Pages

Can recursive neural tensor networks learn logical reasoning?

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS;

EID: 85083952396     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (5)

References (22)
  • 1
    • 56449095373 scopus 로고    scopus 로고
    • A unified architecture for natural language processing: Deep neural networks with multitask learning
    • Ronan Collobert and Jason Weston. A unified architecture for natural language processing: Deep neural networks with multitask learning. In Proc. ICML. ACM, 2008.
    • (2008) Proc. ICML. ACM
    • Collobert, R.1    Weston, J.2
  • 2
    • 80053261327 scopus 로고    scopus 로고
    • Semi-supervised recursive autoencoders for predicting sentiment distributions
    • Richard Socher, Jeffrey Pennington, Eric H. Huang, Andrew Y. Ng, and Christopher D. Manning. Semi-supervised recursive autoencoders for predicting sentiment distributions. In Proc. EMNLP. ACL, 2011.
    • (2011) Proc. EMNLP. ACL
    • Socher, R.1    Pennington, J.2    Huang, E.H.3    Ng, A.Y.4    Manning, C.D.5
  • 4
    • 85083952458 scopus 로고    scopus 로고
    • Learning new facts from knowledge bases with neural tensor networks and semantic word vectors
    • Danqi Chen, Richard Socher, Christopher D. Manning, and Andrew Y. Ng. Learning new facts from knowledge bases with neural tensor networks and semantic word vectors. In Proc. ICLR, 2013.
    • (2013) Proc. ICLR
    • Chen, D.1    Socher, R.2    Manning, C.D.3    Ng, A.Y.4
  • 7
    • 84935506405 scopus 로고
    • Monotonicity phenomena in natural language
    • Jack Hoeksema. Monotonicity phenomena in natural language. Linguistic Analysis, 16(1–2), 1986.
    • (1986) Linguistic Analysis , vol.16 , Issue.1-2
    • Hoeksema, J.1
  • 9
    • 84926179397 scopus 로고    scopus 로고
    • Linguistic regularities in continuous space word representations
    • Tomas Mikolov, Wen-tau Yih, and Geoffrey Zweig. Linguistic regularities in continuous space word representations. Proceedings of NAACL-HLT, 2013.
    • (2013) Proceedings of NAACL-HLT
    • Mikolov, T.1    Yih, W.-T.2    Zweig, G.3
  • 11
    • 84870715081 scopus 로고    scopus 로고
    • Semantic compositionality through recursive matrix-vector spaces
    • Richard Socher, Brody Huval, Christopher D. Manning, and Andrew Y. Ng. Semantic compositionality through recursive matrix-vector spaces. In Proc. EMNLP, 2012.
    • (2012) Proc. EMNLP
    • Socher, R.1    Huval, B.2    Manning, C.D.3    Ng, A.Y.4
  • 12
    • 84990056270 scopus 로고    scopus 로고
    • Entailment above the word level in distributional semantics
    • Marco Baroni, Raffaella Bernardi, Ngoc-Quynh Do, and Chung-chieh Shan. Entailment above the word level in distributional semantics. In Proc. EACL. ACL, 2012.
    • (2012) Proc. EACL. ACL
    • Baroni, M.1    Bernardi, R.2    Do, N.-Q.3    Shan, C.-C.4
  • 13
    • 85006804799 scopus 로고    scopus 로고
    • A formal approach to linking logical form and vector-space lexical semantics
    • Dan Garrette, Katrin Erk, and Raymond Mooney. A formal approach to linking logical form and vector-space lexical semantics. Computing Meaning, 4, 2013.
    • (2013) Computing Meaning , vol.4
    • Garrette, D.1    Erk, K.2    Mooney, R.3
  • 14
    • 85162476102 scopus 로고    scopus 로고
    • Dynamic pooling and unfolding recursive autoencoders for paraphrase detection
    • Richard Socher, Eric H. Huang, Jeffrey Pennington, Andrew Y. Ng, and Christopher D. Manning. Dynamic pooling and unfolding recursive autoencoders for paraphrase detection. NIPS, 24, 2011.
    • (2011) NIPS , vol.24
    • Socher, R.1    Huang, E.H.2    Pennington, J.3    Ng, A.Y.4    Manning, C.D.5
  • 15
    • 84893676344 scopus 로고    scopus 로고
    • Rectifier nonlinearities improve neural network acoustic models
    • Andrew L. Maas, Awni Y. Hannun, and Andrew Y. Ng. Rectifier nonlinearities improve neural network acoustic models. In Proc. ICML 30, 2013.
    • (2013) Proc. ICML , vol.30
    • Maas, A.L.1    Hannun, A.Y.2    Ng, A.Y.3
  • 16
    • 0029727454 scopus 로고    scopus 로고
    • Learning task-dependent distributed representations by backpropagation through structure
    • IEEE
    • Christoph Goller and Andreas Kuchler. Learning task-dependent distributed representations by backpropagation through structure. In Proc. IEEE International Conference on Neural Networks, volume 1. IEEE, 1996.
    • (1996) Proc. IEEE International Conference on Neural Networks , vol.1
    • Goller, C.1    Kuchler, A.2
  • 18
    • 84966262179 scopus 로고
    • Updating quasi-newton matrices with limited storage
    • Jorge Nocedal. Updating quasi-Newton matrices with limited storage. Mathematics of computation, 35(151), 1980.
    • (1980) Mathematics of Computation , vol.35 , Issue.151
    • Nocedal, J.1
  • 19
    • 84893795422 scopus 로고    scopus 로고
    • Parsing with compositional vector grammars
    • Richard Socher, John Bauer, Christopher D. Manning, and Andrew Y. Ng. Parsing with compositional vector grammars. In Proc. ACL, 2013.
    • (2013) Proc. ACL
    • Socher, R.1    Bauer, J.2    Manning, C.D.3    Ng, A.Y.4
  • 20
    • 84866117923 scopus 로고    scopus 로고
    • Inclusion and exclusion in natural language
    • Thomas F. Icard. Inclusion and exclusion in natural language. Studia Logica, 100(4), 2012.
    • (2012) Studia Logica , vol.100 , Issue.4
    • Icard, T.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.