Title
Opendial: A Toolkit For Developing Spoken Dialogue Systems With Probabilistic Rules
Abstract
We present a new release of OpenDial, an open-source toolkit for building and evaluating spoken dialogue systems. The toolkit relies on an information-state architecture where the dialogue state is represented as a Bayesian network and acts as a shared memory for all system modules. The domain models are specified via probabilistic rules encoded in XML. OpenDial has been deployed in several application domains such as human-robot interaction, intelligent tutoring systems and multi-modal in-car driver assistants.
Year
Venue
DocType
2016
PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS
Conference
Volume
Citations 
PageRank 
P16-4
9
0.61
References 
Authors
7
2
Name
Order
Citations
PageRank
Pierre Lison114612.35
casey kennington2254.58