메뉴 건너뛰기




Volumn , Issue , 2017, Pages

TopicRNN: A recurrent neural network with long-range semantic dependency

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; MODELING LANGUAGES; SEMANTIC WEB; SEMANTICS; SENTIMENT ANALYSIS; STATISTICS; SYNTACTICS;

EID: 85088228479     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (111)

References (35)
  • 1
    • 0028392483 scopus 로고
    • Learning long-term dependencies with gradient descent is difficult
    • Y. Bengio, P. Simard, and P. Frasconi. Learning long-term dependencies with gradient descent is difficult. IEEE transactions on neural networks, 5(2):157-166, 1994.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , Issue.2 , pp. 157-166
    • Bengio, Y.1    Simard, P.2    Frasconi, P.3
  • 15
    • 0033225865 scopus 로고    scopus 로고
    • An introduction to variational methods for graphical models
    • M. I. Jordan, Z. Ghahramani, T. S. Jaakkola, and L. K. Saul. An introduction to variational methods for graphical models. Machine learning, 37(2):183-233, 1999.
    • (1999) Machine Learning , vol.37 , Issue.2 , pp. 183-233
    • Jordan, M.I.1    Ghahramani, Z.2    Jaakkola, T.S.3    Saul, L.K.4
  • 19
    • 84926067654 scopus 로고    scopus 로고
    • Distributed representations of sentences and documents
    • Q. V. Le and T. Mikolov. Distributed representations of sentences and documents. In ICML, volume 14, pages 1188-1196, 2014.
    • (2014) ICML , vol.14 , pp. 1188-1196
    • Le, Q.V.1    Mikolov, T.2
  • 22
    • 34249852033 scopus 로고
    • Building a large annotated corpus of english: The penn treebank
    • M. P. Marcus, M. A. Marcinkiewicz, and B. Santorini. Building a large annotated corpus of english: The penn treebank. Computational linguistics, 19(2):313-330, 1993.
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.P.1    Marcinkiewicz, M.A.2    Santorini, B.3
  • 24
    • 84874235486 scopus 로고    scopus 로고
    • Context dependent recurrent neural network language model
    • T. Mikolov and G. Zweig. Context dependent recurrent neural network language model. In SLT, pages 234-239, 2012.
    • (2012) SLT , pp. 234-239
    • Mikolov, T.1    Zweig, G.2
  • 29
    • 85049078406 scopus 로고    scopus 로고
    • Adversarial training methods for semi-supervised text classification
    • T. Miyato, A. M. Dai, and I. Goodfellow. Adversarial training methods for semi-supervised text classification. stat, 1050:7, 2016.
    • (2016) Stat , vol.1050 , pp. 7
    • Miyato, T.1    Dai, A.M.2    Goodfellow, I.3
  • 30
    • 84897497795 scopus 로고    scopus 로고
    • On the difficulty of training recurrent neural networks
    • R. Pascanu, T. Mikolov, and Y. Bengio. On the difficulty of training recurrent neural networks. ICML (3), 28:1310-1318, 2013.
    • (2013) ICML , vol.28 , Issue.3 , pp. 1310-1318
    • Pascanu, R.1    Mikolov, T.2    Bengio, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.