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Volumn 2, Issue , 2012, Pages 1751-1758

A fast and simple algorithm for training neural probabilistic language models

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS DISTRIBUTION; DATA SETS; LANGUAGE MODEL; LOG LIKELIHOOD; MICROSOFT RESEARCHES; N-GRAM MODELS; PROBABILISTIC LANGUAGE; SENTENCE COMPLETIONS; SIMPLE ALGORITHM; TREEBANKS;

EID: 84867118996     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (305)

References (22)
  • 1
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    • Quick training of probabilistic neural nets by importance sampling
    • Bengio, Yoshua and Senécal, Jean-Sébastien. Quick training of probabilistic neural nets by importance sampling. In AISTATS'03, 2003.
    • (2003) AISTATS'03
    • Bengio, Y.1    Senécal, J.-S.2
  • 2
    • 42549142788 scopus 로고    scopus 로고
    • Adaptive importance sampling to accelerate training of a neural probabilistic language model
    • Bengio, Yoshua and Senécal, Jean-Sébastien. Adaptive importance sampling to accelerate training of a neural probabilistic language model. IEEE Transactions on Neural Networks, 19(4):713-722, 2008.
    • (2008) IEEE Transactions on Neural Networks , vol.19 , Issue.4 , pp. 713-722
    • Bengio, Y.1    Senécal, J.-S.2
  • 3
    • 0009577944 scopus 로고    scopus 로고
    • A neural probabilistic language model
    • Bengio, Yoshua, Ducharme, Réjean, and Vincent, Pascal. A neural probabilistic language model. In NIPS, pp. 932-938, 2000.
    • (2000) NIPS , pp. 932-938
    • Bengio, Y.1    Ducharme, R.2    Vincent, P.3
  • 5
    • 0002652285 scopus 로고    scopus 로고
    • A maximum entropy approach to natural language processing
    • Berger, A.L., Pietra, V.J.D., and Pietra, S.A.D. A maximum entropy approach to natural language processing. Computational linguistics, 22(1):39-71, 1996.
    • (1996) Computational Linguistics , vol.22 , Issue.1 , pp. 39-71
    • Berger, A.L.1    Pietra, V.J.D.2    Pietra, S.A.D.3
  • 9
    • 84857892556 scopus 로고    scopus 로고
    • Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
    • Gutmann, M.U. and Hyvärinen, A. Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. Journal of Machine Learning Research, 13:307-361, 2012.
    • (2012) Journal of Machine Learning Research , vol.13 , pp. 307-361
    • Gutmann, M.U.1    Hyvärinen, A.2
  • 14
    • 61849109290 scopus 로고    scopus 로고
    • Improving a statistical language model through non-linear prediction
    • Mnih, A., Yuecheng, Z., and Hinton, G. Improving a statistical language model through non-linear prediction. Neurocomputing, 72(7-9):1414-1418, 2009.
    • (2009) Neurocomputing , vol.72 , Issue.7-9 , pp. 1414-1418
    • Mnih, A.1    Yuecheng, Z.2    Hinton, G.3
  • 16
    • 34547997987 scopus 로고    scopus 로고
    • Hierarchical probabilistic neural network language model
    • Morin, Frederic and Bengio, Yoshua. Hierarchical probabilistic neural network language model. In AISTATS'05, pp. 246-252, 2005.
    • (2005) AISTATS'05 , pp. 246-252
    • Morin, F.1    Bengio, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.