The purpose of this workshop is to bring together researchers investigating the application of learning and adaptation to dialogue systems, both speech and text based.
In this workshop we encourage papers on either theoretical or applied research in adaptation for dialogue, that includes learning procedures as well as decision making methods aimed at dynamically reconfiguring dialogue behavior based on the context. We would also like to explore techniques that allow a dialogue system to learn with experience or from data sets gathered from empirical studies. We welcome submissions from researchers supplementing the traditional development of dialogue systems with techniques from machine learning, statistical NLP, and decision theory.
We solicit papers from a number of research areas, including:
A web site that will provide additional information on the
workshop as it becomes available is located at:
For more information:
Please direct questions to Eric Horvitz (firstname.lastname@example.org), Tim Paek (email@example.com), or Cindi Thompson (firstname.lastname@example.org).