Recursive neural network

Results: 26



#Item
11On the effectiveness and simplicity of linear recursive neural network Ruoxi Wang ICME, Stanford University Stanford, CA 94305

On the effectiveness and simplicity of linear recursive neural network Ruoxi Wang ICME, Stanford University Stanford, CA 94305

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Source URL: cs224d.stanford.edu

Language: English - Date: 2015-06-22 12:46:46
    12The Inside-Outside Recursive Neural Network model for Dependency Parsing Phong Le and Willem Zuidema Institute for Logic, Language, and Computation University of Amsterdam, the Netherlands {p.le,zuidema}@uva.nl

    The Inside-Outside Recursive Neural Network model for Dependency Parsing Phong Le and Willem Zuidema Institute for Logic, Language, and Computation University of Amsterdam, the Netherlands {p.le,zuidema}@uva.nl

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    Source URL: emnlp2014.org

    Language: English - Date: 2014-10-16 05:20:03
      13Transition-based Dependency Parsing Using Recursive Neural Networks Pontus Stenetorp* | National Institute of Informatics, Tokyo, Japan | *

      Transition-based Dependency Parsing Using Recursive Neural Networks Pontus Stenetorp* | National Institute of Informatics, Tokyo, Japan | *

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      Source URL: pontus.stenetorp.se

      Language: English - Date: 2015-12-23 11:28:10
      14Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri¨enboer Caglar Gulcehre Universit´e de Montr´eal

      Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri¨enboer Caglar Gulcehre Universit´e de Montr´eal

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      Source URL: arxiv.org

      Language: English - Date: 2014-09-03 21:21:41
      15Published as a conference paper at ICLRJ OINT RNN-BASED G REEDY PARSING C OMPOSITION AND

      Published as a conference paper at ICLRJ OINT RNN-BASED G REEDY PARSING C OMPOSITION AND

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      Source URL: ronan.collobert.com

      Language: English - Date: 2015-08-30 19:55:58
      16Structural Learning for Web Design Maxine Lim Arvind Satyanarayan Cesar Torres Stanford University, Stanford, CAUSA

      Structural Learning for Web Design Maxine Lim Arvind Satyanarayan Cesar Torres Stanford University, Stanford, CAUSA

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      Source URL: cs229.stanford.edu

      Language: English - Date: 2013-01-09 18:26:12
      17Semantic Compositionality through Recursive Matrix-Vector Spaces Richard Socher Brody Huval Christopher D. Manning Andrew Y. Ng , {brodyh,manning,ang}@stanford.edu Computer Science Department, Stanford

      Semantic Compositionality through Recursive Matrix-Vector Spaces Richard Socher Brody Huval Christopher D. Manning Andrew Y. Ng , {brodyh,manning,ang}@stanford.edu Computer Science Department, Stanford

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      Source URL: nlp.stanford.edu

      Language: English - Date: 2012-06-04 17:13:09
      18Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks Richard Socher, Christopher D. Manning, Andrew Y. Ng Department of Computer Science Stanford University

      Learning Continuous Phrase Representations and Syntactic Parsing with Recursive Neural Networks Richard Socher, Christopher D. Manning, Andrew Y. Ng Department of Computer Science Stanford University

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      Source URL: nlp.stanford.edu

      Language: English - Date: 2011-03-09 16:41:06
      19JOINT SEMANTIC UTTERANCE CLASSIFICATION AND SLOT FILLING WITH RECURSIVE NEURAL NETWORKS Daniel (Zhaohan) Guo, Gokhan Tur, Wen-tau Yih, Geoffrey Zweig Microsoft Research ABSTRACT In recent years, continuous space models h

      JOINT SEMANTIC UTTERANCE CLASSIFICATION AND SLOT FILLING WITH RECURSIVE NEURAL NETWORKS Daniel (Zhaohan) Guo, Gokhan Tur, Wen-tau Yih, Geoffrey Zweig Microsoft Research ABSTRACT In recent years, continuous space models h

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      Source URL: research.microsoft.com

      Language: English - Date: 2014-09-28 12:40:18
      20On dynamic programming-like recursive gradient formula for alleviating MLP hidden-node saturation in the parity problem Eiji Mizutani 1,

      On dynamic programming-like recursive gradient formula for alleviating MLP hidden-node saturation in the parity problem Eiji Mizutani 1,

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      Source URL: www.ieor.berkeley.edu

      Language: English - Date: 2008-07-16 21:59:51