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    » Learning User Intentions in Spoken Dialogue Systems
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    SIGDIAL
    2010
    186views Natural Language Processing» more  SIGDIAL 2010»
    Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
    14 years 7 months ago
    Adaptive Referring Expression Generation in Spoken Dialogue Systems: Evaluation with Real Users
    Download  www.sigdial.org
    We present new results from a real-user evaluation of a data-driven approach to learning user-adaptive referring expression generation (REG) policies for spoken dialogue systems. ...
    Srinivasan Janarthanam, Oliver Lemon
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    ICASSP
    2008
    IEEE
    121views Signal Processing» more  ICASSP 2008»
    Using dialogue acts to learn better repair strategies for spoken dialogue systems
    15 years 4 months ago
    Using dialogue acts to learn better repair strategies for spoken dialogue systems
    Download  www.stanford.edu
    Repair or error-recovery strategies are an important design issue in Spoken Dialogue Systems (SDSs) - how to conduct the dialogue when there is no progress (e.g. due to repeated A...
    Matthew Frampton, Oliver Lemon
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    AAAI
    2000
    121views Intelligent Agents» more  AAAI 2000»
    Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System
    14 years 11 months ago
    Predicting and Adapting to Poor Speech Recognition in a Spoken Dialogue System
    Download  www.aaai.org
    Spoken dialogue system performance can vary widely for different users, as well for the same user during different dialogues. This paper presents the design and evaluation of an a...
    Diane J. Litman, Shimei Pan
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    ACL
    2003
    149views Computational Linguistics» more  ACL 2003»
    Flexible Guidance Generation Using User Model in Spoken Dialogue Systems
    14 years 11 months ago
    Flexible Guidance Generation Using User Model in Spoken Dialogue Systems
    Download  acl.ldc.upenn.edu
    We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on user’s knowledge o...
    Kazunori Komatani, Shinichi Ueno, Tatsuya Kawahara...
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    CSL
    2012
    Springer
    311views Automated Reasoning» more  CSL 2012»
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    13 years 5 months ago
    Reinforcement learning for parameter estimation in statistical spoken dialogue systems
    Download  mi.eng.cam.ac.uk
    Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
    Filip Jurcícek, Blaise Thomson, Steve Young
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