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Volumn , Issue , 2015, Pages 73-78

Bidirectional long short-term memory networks for relation classification

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; SYNTACTICS;

EID: 84967321318     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (483)

References (15)
  • 14
    • 0041914606 scopus 로고    scopus 로고
    • Gradient flow in recur-rent nets: The difficulty of learning long-term dependencies
    • Kremer, S. C.and Kolen, J. F., ed-itors, IEEE Press
    • Sepp Hochreiter, Yoshua Bengio, Paolo Frasconi, and Jürgen Schmidhuber. 2001. Gradient Flow in Recur-rent Nets: the Difficulty of Learning Long-Term Dependencies. In Kremer, S. C.and Kolen, J. F., ed-itors, A Field Guide to Dynamical Recurrent Neural Networks. IEEE Press.
    • (2001) A Field Guide to Dynamical Recurrent Neural Networks
    • Hochreiter, S.1    Bengio, Y.2    Frasconi, P.3    Schmidhuber, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.