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» A Bayesian Approach for User Modeling in Dialogue Systems
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ACL
2010
14 years 8 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon
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
WWW
2004
ACM
15 years 10 months ago
An xpath-based discourse analysis module for spoken dialogue systems
This paper describes an XPath-based discourse analysis module for Spoken Dialogue Systems that allows the dialogue author to easily manipulate and query both the user input's...
Giuseppe Di Fabbrizio, Charles Lewis
AAAI
1990
14 years 11 months ago
Logical Task Modelling for Man-Machine Dialogue
To design a task-independent dialogue system, we present a task-oriented dialogue analysis in terms of finding the referents of definite descriptions and we show how this analysis...
M. David Sadek
ALPIT
2008
IEEE
15 years 4 months ago
A Plan-Based Dialogue Model Using a Discourse Stack for Intelligent Human-Robot Interface Development
The existing studies of a dialogue system can be classified into two major parts. One is a study for a practical system, and the other is a study to understand a principal of dial...
Sangwoo Kang, Youngjoong Ko, Jungyun Seo