Title
DialPort: Connecting the spoken dialog research community to real user data
Abstract
This paper describes a new spoken dialog portal that connects systems produced by the spoken dialog academic research community and gives them access to real users. We introduce a distributed, multi-modal, multi-agent prototype dialog framework that affords easy integration with various remote resources, ranging from end-to-end dialog systems to external knowledge APIs. The portal provides seamless passage from one spoken dialog system to another. To date, the DialPort portal has successfully connected to the multi-domain spoken dialog system at Cambridge University, the NOAA (National Oceanic and Atmospheric Administration) weather API and the Yelp API. We present statistics derived from log data gathered during preliminary tests of the portal on the performance of the portal and on the quality (seamlessness) of the transition from one system to another.
Year
DOI
Venue
2016
10.1109/SLT.2016.7846249
2016 IEEE Spoken Language Technology Workshop (SLT)
Keywords
DocType
Volume
Real user,dialog system,conversational agent,virtual agent
Conference
abs/1606.02562
ISSN
ISBN
Citations 
2639-5479
978-1-5090-4904-2
4
PageRank 
References 
Authors
0.44
13
3
Name
Order
Citations
PageRank
tiancheng zhao113610.62
Kyusong Lee28915.62
Maxine Eskenazi3979127.53