Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced ...
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. ...
To tackle the problem of presenting a large number of options in spoken dialogue systems, we identify compelling options based on a model of user preferences, and present tradeoff...
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
This paper describes PEGASUS, a spoken language interface for on-line air travel planning that we have recently developed. PEGASUSleverages off our spoken language technology deve...
Victor Zue, Stephanie Seneff, Joseph Polifroni, Mi...