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    » Learning User Intentions in Spoken Dialogue Systems
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    AIED
    2009
    Springer
    122views Artificial Intelligence» more  AIED 2009»
    Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning
    15 years 4 months ago
    Evidence of Misunderstandings in Tutorial Dialogue and their Impact on Learning
    Download  www.cs.pitt.edu
    We explore the frequency and impact of misunderstandings in an existing corpus of tutorial dialogues in which a student appears to get an interpretation that is not in line with wh...
    Pamela W. Jordan, Diane J. Litman, Michael Lipschu...
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    ICASSP
    2008
    IEEE
    215views Signal Processing» more  ICASSP 2008»
    Bayesian update of dialogue state for robust dialogue systems
    15 years 4 months ago
    Bayesian update of dialogue state for robust dialogue systems
    Download  mi.eng.cam.ac.uk
    This paper presents a new framework for accumulating beliefs in spoken dialogue systems. The technique is based on updating a Bayesian Network that represents the underlying state...
    Blaise Thomson, Jost Schatzmann, Steve Young
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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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    NAACL
    2003
    161views Computational Linguistics» more  NAACL 2003»
    Automatic Acquisition of Names Using Speak and Spell Mode in Spoken Dialogue Systems
    14 years 11 months ago
    Automatic Acquisition of Names Using Speak and Spell Mode in Spoken Dialogue Systems
    Download  people.csail.mit.edu
    This paper describes a novel multi-stage recognition procedure for deducing the spelling and pronunciation of an open set of names. The overall goal is the automatic acquisition o...
    Grace Chung, Stephanie Seneff, Chao Wang
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    ACL
    1998
    135views Computational Linguistics» more  ACL 1998»
    Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
    14 years 11 months ago
    Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
    Download  www.aclweb.org
    Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
    Gina-Anne Levow
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