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» Learning User Intentions in Spoken Dialogue Systems
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SIGDIAL
2010
14 years 7 months ago
Learning Dialogue Strategies from Older and Younger Simulated Users
Older adults are a challenging user group because their behaviour can be highly variable. To the best of our knowledge, this is the first study where dialogue strategies are learn...
Kallirroi Georgila, Maria Wolters, Johanna D. Moor...
LREC
2010
160views Education» more  LREC 2010»
14 years 11 months ago
Construction of Back-Channel Utterance Corpus for Responsive Spoken Dialogue System Development
In spoken dialogues, if a spoken dialogue system does not respond at all during user's utterances, the user might feel uneasy because the user does not know whether or not th...
Yuki Kamiya, Tomohiro Ohno, Shigeki Matsubara, Hid...
LREC
2008
120views Education» more  LREC 2008»
14 years 11 months ago
Uncertainty Corpus: Resource to Study User Affect in Complex Spoken Dialogue Systems
We present a corpus of spoken dialogues between students and an adaptive Wizard-of-Oz tutoring system, in which student uncertainty was manually annotated in real-time. We detail ...
Katherine Forbes-Riley, Diane J. Litman, Scott Sil...
EACL
2006
ACL Anthology
14 years 11 months ago
Using Reinforcement Learning to Build a Better Model of Dialogue State
Given the growing complexity of tasks that spoken dialogue systems are trying to handle, Reinforcement Learning (RL) has been increasingly used as a way of automatically learning ...
Joel R. Tetreault, Diane J. Litman
ICASSP
2011
IEEE
14 years 1 months ago
Bayesian reinforcement learning for POMDP-based dialogue systems
Spoken dialogue systems are gaining popularity with improvements in speech recognition technologies. Dialogue systems can be modeled effectively using POMDPs, achieving improvemen...
ShaoWei Png, Joelle Pineau