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    » A Linguistic Theory of Robustness
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    IOR
    2006
    59views more  IOR 2006»
    A Robust Optimization Approach to Inventory Theory
    14 years 9 months ago
    A Robust Optimization Approach to Inventory Theory
    Download  web.mit.edu
    Dimitris Bertsimas, Aurélie Thiele
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    88
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    COLING
    1990
    117views Computational Linguistics» more  COLING 1990»
    A Computational Approach to Binding Theory
    14 years 10 months ago
    A Computational Approach to Binding Theory
    Download  acl.ldc.upenn.edu
    This paper is a first step towards a computational account of Binding Theory (BT). Two algorithms that compute, respectively, Principle A and B have been provided. Particular atte...
    Alessandra Giorgi, Fabio Pianesi, Giorgio Satta
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    IUI
    2003
    ACM
    147views Software Engineering» more  IUI 2003»
    A model of textual affect sensing using real-world knowledge
    15 years 2 months ago
    A model of textual affect sensing using real-world knowledge
    Download  www.iuiconf.org
    This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed k...
    Hugo Liu, Henry Lieberman, Ted Selker
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    ACL
    2010
    160views Computational Linguistics» more  ACL 2010»
    A Bayesian Method for Robust Estimation of Distributional Similarities
    14 years 7 months ago
    A Bayesian Method for Robust Estimation of Distributional Similarities
    Download  www.aclweb.org
    Existing word similarity measures are not robust to data sparseness since they rely only on the point estimation of words' context profiles obtained from a limited amount of ...
    Jun'ichi Kazama, Stijn De Saeger, Kow Kuroda, Masa...
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    ACL
    2009
    167views Computational Linguistics» more  ACL 2009»
    Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information
    14 years 7 months ago
    Robust Approach to Abbreviating Terms: A Discriminative Latent Variable Model with Global Information
    Download  www.aclweb.org
    The present paper describes a robust approach for abbreviating terms. First, in order to incorporate non-local information into abbreviation generation tasks, we present both impl...
    Xu Sun, Naoaki Okazaki, Jun-ichi Tsujii
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