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CSL
2012
Springer
12 years 1 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
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
LREC
2010
186views Education» more  LREC 2010»
13 years 7 months ago
WITcHCRafT: A Workbench for Intelligent exploraTion of Human ComputeR conversaTions
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...
INTETAIN
2005
Springer
13 years 11 months ago
Grounding Emotions in Human-Machine Conversational Systems
In this paper we investigate the role of user emotions in human-machine goal-oriented conversations. There has been a growing interest in predicting emotions from acted and non-act...
Giuseppe Riccardi, Dilek Z. Hakkani-Tür
ICCPOL
2009
Springer
14 years 22 days ago
Dialogue Strategies to Overcome Speech Recognition Errors in Form-Filling Dialogue
Abstract. In a spoken dialogue system, the speech recognition performance accounts for the largest part of the overall system performance. Yet spontaneous speech recognition has an...
Sangwoo Kang, Songwook Lee, Jungyun Seo
IUI
2004
ACM
13 years 11 months ago
Exploiting emotions to disambiguate dialogue acts
This paper describes an attempt to reveal the user’s intention from dialogue acts, thereby improving the effectiveness of natural interfaces to pedagogical agents. It focuses o...
Wauter Bosma, Elisabeth André