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    PTS
    2010
    175views Hardware» more  PTS 2010»
    Test Data Generation for Programs with Quantified First-Order Logic Specifications
    14 years 9 months ago
    Test Data Generation for Programs with Quantified First-Order Logic Specifications
    Download  www.uni-koblenz.de
    We present a novel algorithm for test data generation that is based on techniques used in formal software verification. Prominent examples of such formal techniques are symbolic ex...
    Christoph Gladisch
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    ACL
    2009
    128views Computational Linguistics» more  ACL 2009»
    Learning to Tell Tales: A Data-driven Approach to Story Generation
    14 years 9 months ago
    Learning to Tell Tales: A Data-driven Approach to Story Generation
    Download  www.aclweb.org
    Computational story telling has sparked great interest in artificial intelligence, partly because of its relevance to educational and gaming applications. Traditionally, story gen...
    Neil McIntyre, Mirella Lapata
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    ICIP
    2009
    IEEE
    183views Image Processing» more  ICIP 2009»
    Face virtual pose generation using aligned locally linear regression for face recognition
    14 years 9 months ago
    Face virtual pose generation using aligned locally linear regression for face recognition
    Download  www.cs.sfu.ca
    In this paper a new solution for the single sample problem in low resolution face recognition is proposed. The proposed solution uses an enhanced virtual pose generation method to...
    Mohammad H. Rohban, Hamid R. Rabiee, Arash Vahdat
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    COLING
    2010
    95views Computational Linguistics» more  COLING 2010»
    Leveraging Multiple MT Engines for Paraphrase Generation
    14 years 6 months ago
    Leveraging Multiple MT Engines for Paraphrase Generation
    Download  www.aclweb.org
    This paper proposes a method that leverages multiple machine translation (MT) engines for paraphrase generation (PG). The method includes two stages. Firstly, we use a multi-pivot...
    Shiqi Zhao, Haifeng Wang, Xiang Lan, Ting Liu
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    COLING
    2010
    122views Computational Linguistics» more  COLING 2010»
    Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
    14 years 6 months ago
    Generative Alignment and Semantic Parsing for Learning from Ambiguous Supervision
    Download  www.cs.utexas.edu
    We present a probabilistic generative model for learning semantic parsers from ambiguous supervision. Our approach learns from natural language sentences paired with world states ...
    Joohyun Kim, Raymond J. Mooney
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