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» A Bayesian Approach for User Modeling in Dialogue Systems
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114
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JAIR
2007
118views more  JAIR 2007»
14 years 10 months ago
Individual and Domain Adaptation in Sentence Planning for Dialogue
One of the biggest challenges in the development and deployment of spoken dialogue systems is the design of the spoken language generation module. This challenge arises from the n...
Marilyn A. Walker, Amanda Stent, François M...
ICPR
2006
IEEE
15 years 11 months ago
A Combined Bayesian Markovian Approach for Behaviour Recognition
Numerous techniques exist which can be used for the task of behavioural analysis and recognition. Common amongst these are Bayesian networks and Hidden Markov Models. Although the...
David Paul Young, James M. Ferryman, Nicholas L. C...
ICML
2003
IEEE
15 years 11 months ago
Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
In the task of adaptive information filtering, a system receives a stream of documents but delivers only those that match a person's information need. As the system filters i...
Yi Zhang, Wei Xu, James P. Callan
EWCBR
2006
Springer
15 years 1 months ago
What Evaluation Criteria Are Right for CCBR? Considering Rank Quality
Abstract. Evaluation criteria for conversational CBR (CCBR) systems are important to guide development and tuning of new methods, and to enable practitioners to make informed decis...
Steven Bogaerts, David B. Leake
106
Voted
KI
2009
Springer
15 years 4 months ago
Robust Processing of Situated Spoken Dialogue
Spoken dialogue is notoriously hard to process with standard language processing technologies. Dialogue systems must indeed meet two major challenges. First, natural spoken dialogu...
Pierre Lison, Geert-Jan M. Kruijff