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Volumn 3, Issue , 2015, Pages 2113-2122

Bimodal modelling of source code and natural language

Author keywords

[No Author keywords available]

Indexed keywords


EID: 84969931440     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (193)

References (34)
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    • Sourcerer: An infrastructure for large-scale collection and analysis of open-source code
    • Bajracharya, Sushil, Ossher, Joel, and Lopes, Cristina. Sourcerer: An infrastructure for large-scale collection and analysis of open-source code. Science of Computer Programming, 79:241-259, 2014.
    • (2014) Science of Computer Programming , vol.79 , pp. 241-259
    • Bajracharya, S.1    Ossher, J.2    Lopes, C.3
  • 5
    • 80052250414 scopus 로고    scopus 로고
    • Adaptive subgradient methods for online learning and stochastic optimization
    • Duchi, John, Hazan, Elad, and Singer, Yoram. Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research, 12:2121-2159, 2011.
    • (2011) The Journal of Machine Learning Research , vol.12 , pp. 2121-2159
    • Duchi, J.1    Hazan, E.2    Singer, Y.3
  • 7
    • 84904304215 scopus 로고    scopus 로고
    • Nlyze: Interactive programming by natural language for spreadsheet data analysis and manipulation
    • Gulwani, Sumit and Marron, Mark. Nlyze: Interactive programming by natural language for spreadsheet data analysis and manipulation. SIGMOD, 2014.
    • (2014) SIGMOD
    • Gulwani, S.1    Marron, M.2
  • 8
    • 84857892556 scopus 로고    scopus 로고
    • Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics
    • Gutmann, Michael U and Hyvärinen, Aapo. Noise-contrastive estimation of unnormalized statistical models, with applications to natural image statistics. The Journal of Machine Learning Research, 13(1):307-361, 2012.
    • (2012) The Journal of Machine Learning Research , vol.13 , Issue.1 , pp. 307-361
    • Gutmann, M.U.1    Hyvärinen, A.2
  • 16
    • 84877085938 scopus 로고    scopus 로고
    • Learning dependency-based compositional semantics
    • Liang, Percy, Jordan, Michael I, and Klein, Dan. Learning dependency-based compositional semantics. Computational Linguistics, 39(2):389-446, 2013.
    • (2013) Computational Linguistics , vol.39 , Issue.2 , pp. 389-446
    • Liang, P.1    Jordan, M.I.2    Klein, D.3
  • 19
    • 80053288309 scopus 로고    scopus 로고
    • Composition in distributional models of semantics
    • Mitchell, Jeff and Lapata, Mirella. Composition in distributional models of semantics. Cognitive Science, 34(8): 1388-1439, 2010.
    • (2010) Cognitive Science , vol.34 , Issue.8 , pp. 1388-1439
    • Mitchell, J.1    Lapata, M.2
  • 20
  • 21
    • 84867118996 scopus 로고    scopus 로고
    • A fast and simple algorithm for training neural probabilistic language models
    • Mnih, Andriy and Teh, Yee Whye. A fast and simple algorithm for training neural probabilistic language models. In ICML, 2012.
    • (2012) ICML
    • Mnih, A.1    Teh, Y.W.2
  • 23
    • 84969989021 scopus 로고    scopus 로고
    • URL
    • MSDN. URL https://MSDN.microsoft.com/en-us/library/bb3 97906.aspx.
    • MSDN1
  • 34


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.