The DialRC and DialPort projects have employed unconventional approaches to data gathering and resource sharing. The\u00a0projects started sharing by distributing the speech, transcription and logfile data gathered by the Let\u2019s Go system. That system has\u00a0responded to over 220,000 calls from real users of the Allegheny County Port Authority. The Let\u2019s Go platform proved to be a
\nvery successful way to run studies, with a dataflow of about 1300 dialogs per month. Thus, DialRC built a research platform that\u00a0was used by other researchers, enabling then to run studies with the Let\u2019s Go real users. Challenges were also run on this\u00a0platform. Finally DialPort follows in the footsteps of DialRC by creating a spoken dialog portal with real users that other dialog
\nsystems can be connected to. This paper examines the impact that these activities have had on the spoken dialog research\u00a0community.<\/p>\n","protected":false},"excerpt":{"rendered":"
The DialRC and DialPort projects have employed unconventional approaches to data gathering and resource sharing. The\u00a0projects started sharing by distributing the speech, transcription and logfile data gathered by the Let\u2019s Go system. That system has\u00a0responded to over 220,000 calls from real users of the Allegheny County Port Authority. 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