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    » Learning User Intentions in Spoken Dialogue Systems
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    SIGDIAL
    2010
    138views Natural Language Processing» more  SIGDIAL 2010»
    F2 - New Technique for Recognition of User Emotional States in Spoken Dialogue Systems
    14 years 7 months ago
    F2 - New Technique for Recognition of User Emotional States in Spoken Dialogue Systems
    Download  www.aclweb.org
    In this paper we propose a new technique to enhance emotion recognition by combining in different ways what we call emotion predictions. The technique is called F2 as the combinat...
    Ramón López-Cózar, Jan Silovs...
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    ACL
    2010
    161views Computational Linguistics» more  ACL 2010»
    Importance-Driven Turn-Bidding for Spoken Dialogue Systems
    14 years 8 months ago
    Importance-Driven Turn-Bidding for Spoken Dialogue Systems
    Download  www.cse.ogi.edu
    Current turn-taking approaches for spoken dialogue systems rely on the speaker releasing the turn before the other can take it. This reliance results in restricted interactions th...
    Ethan Selfridge, Peter A. Heeman
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    ACL
    2008
    92views Computational Linguistics» more  ACL 2008»
    Simulating the Behaviour of Older versus Younger Users when Interacting with Spoken Dialogue Systems
    14 years 11 months ago
    Simulating the Behaviour of Older versus Younger Users when Interacting with Spoken Dialogue Systems
    Download  people.ict.usc.edu
    In this paper we build user simulations of older and younger adults using a corpus of interactions with a Wizard-of-Oz appointment scheduling system. We measure the quality of the...
    Kallirroi Georgila, Maria Wolters, Johanna D. Moor...
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    NAACL
    2004
    84views Computational Linguistics» more  NAACL 2004»
    Non-Native Users in the Let's Go!! Spoken Dialogue System: Dealing with Linguistic Mismatch
    14 years 11 months ago
    Non-Native Users in the Let's Go!! Spoken Dialogue System: Dealing with Linguistic Mismatch
    Download  www.cs.cmu.edu
    Antoine Raux, Maxine Eskenazi
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    NAACL
    2001
    84views Computational Linguistics» more  NAACL 2001»
    Identifying User Corrections Automatically in Spoken Dialogue Systems
    14 years 11 months ago
    Identifying User Corrections Automatically in Spoken Dialogue Systems
    Download  www.cs.pitt.edu
    Julia Hirschberg, Diane J. Litman, Marc Swerts
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