Word embedding

Results: 101



#Item
41Deep Learning and Structural Kernels for Semantic Inference: Question Answering Applications to Formal Text and Web Forums

Deep Learning and Structural Kernels for Semantic Inference: Question Answering Applications to Formal Text and Web Forums

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Source URL: www.dialog-21.ru

Language: English - Date: 2016-05-25 06:25:56
42ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features Zhihua Zhang, Guoshun Wu, Man Lan∗ Shanghai Key Laboratory of Multidimensional Information Processing De

ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features Zhihua Zhang, Guoshun Wu, Man Lan∗ Shanghai Key Laboratory of Multidimensional Information Processing De

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Source URL: alt.qcri.org

Language: English - Date: 2015-05-06 14:57:42
    43Distributed Representations of Sentences and Documents  Quoc Le Tomas Mikolov Google Inc, 1600 Amphitheatre Parkway, Mountain View, CA 94043

    Distributed Representations of Sentences and Documents Quoc Le Tomas Mikolov Google Inc, 1600 Amphitheatre Parkway, Mountain View, CA 94043

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    Source URL: cs.stanford.edu

    Language: English - Date: 2014-05-22 19:24:47
    44ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation Jiang Zhao, Man Lan∗ , Jun Feng Tian Shanghai Key Laboratory of Multidimensional Information Processing Depa

    ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation Jiang Zhao, Man Lan∗ , Jun Feng Tian Shanghai Key Laboratory of Multidimensional Information Processing Depa

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    Source URL: alt.qcri.org

    Language: English
      45Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University

      Neural Word Embedding as Implicit Matrix Factorization Omer Levy Department of Computer Science Bar-Ilan University

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      Source URL: www.cs.bgu.ac.il

      Language: English - Date: 2015-01-13 09:53:24
        46#TAG S PACE: Semantic Embeddings from Hashtags Jason Weston Facebook AI Research   Sumit Chopra

        #TAG S PACE: Semantic Embeddings from Hashtags Jason Weston Facebook AI Research Sumit Chopra

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        Source URL: www.thespermwhale.com

        Language: English - Date: 2014-09-02 19:51:42
        47Exploiting Similarities among Languages for Machine Translation  arXiv:1309.4168v1 [cs.CL] 17 Sep 2013 Tomas Mikolov Google Inc.

        Exploiting Similarities among Languages for Machine Translation arXiv:1309.4168v1 [cs.CL] 17 Sep 2013 Tomas Mikolov Google Inc.

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        Source URL: arxiv.org

        Language: English - Date: 2013-09-17 20:18:52
        48Rehabilitation of Count-based Models for Word Vector Representations R´ emi Lebret1,2 and Ronan Collobert1 Idiap Research Institute, Martigny, Switzerland

        Rehabilitation of Count-based Models for Word Vector Representations R´ emi Lebret1,2 and Ronan Collobert1 Idiap Research Institute, Martigny, Switzerland

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        Source URL: ronan.collobert.com

        Language: English - Date: 2015-08-30 20:00:03
        49http://arxiv.org/absFrom Machine Learning to Machine Reasoning Léon Bottou

        http://arxiv.org/absFrom Machine Learning to Machine Reasoning Léon Bottou

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        Source URL: arxiv.org

        Language: English - Date: 2011-02-13 20:00:48
        50Linguistic Regularities in Continuous Space Word Representations  Tomas Mikolov∗ , Wen-tau Yih, Geoffrey Zweig Microsoft Research Redmond, WA 98052

        Linguistic Regularities in Continuous Space Word Representations Tomas Mikolov∗ , Wen-tau Yih, Geoffrey Zweig Microsoft Research Redmond, WA 98052

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        Source URL: www.aclweb.org

        Language: English - Date: 2013-05-18 12:41:37