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    INTERSPEECH
    2010
    127views Signal Processing» more  INTERSPEECH 2010»
    Combining user intention and error modeling for statistical dialog simulators
    14 years 4 months ago
    Combining user intention and error modeling for statistical dialog simulators
    Download  www.ling.uni-potsdam.de
    Statistical user simulation is an efficient and effective way to train and evaluate the performance of a (spoken) dialog system. In this paper, we design and evaluate a modular da...
    Silvia Quarteroni, Meritxell González, Gius...
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    94
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    EACL
    2009
    ACL Anthology
    123views Natural Language Processing» more  EACL 2009»
    Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
    14 years 7 months ago
    Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
    Download  www.aclweb.org
    like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
    Stephen Wan, Mark Dras, Robert Dale, Cécile...
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    ACL
    2012
    194views Computational Linguistics» more  ACL 2012»
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    12 years 12 months ago
    Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
    Download  www-i6.informatik.rwth-aachen.de
    In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
    Joern Wuebker, Hermann Ney, Richard Zens
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    SIGDIAL
    2010
    110views Natural Language Processing» more  SIGDIAL 2010»
    Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
    14 years 7 months ago
    Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
    Download  www.ling.uni-potsdam.de
    Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
    Silvan Heintze, Timo Baumann, David Schlangen
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    99
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    ICCV
    2011
    IEEE
    187views Computer Vision» more  ICCV 2011»
    Robust Object Pose Estimation via Statistical Manifold Modeling
    13 years 9 months ago
    Robust Object Pose Estimation via Statistical Manifold Modeling
    Download  www.eecs.umich.edu
    We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
    Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
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