mlsanityData to 13 Oct 2026

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

arXiv 1606.02562 ↗First posted 8 Jun 2016cs.AI cs.CLcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 8 Jun 2016.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 0; 2024: 1.

5 papers.