DialPort: Connecting the Spoken Dialog Research Community to Real User Data

June 08, 2016 Β· Declared Dead Β· πŸ› Spoken Language Technology Workshop

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Authors Tiancheng Zhao, Kyusong Lee, Maxine Eskenazi arXiv ID 1606.02562 Category cs.AI: Artificial Intelligence Cross-listed cs.CL Citations 22 Venue Spoken Language Technology Workshop Last Checked 4 months ago
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. 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.
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