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Crowd-Sourced Collection of Task-Oriented Human-Human Dialogues in a Multi-domain Scenario
[chapter]
2019
Lecture Notes in Computer Science
There is a lack of high-quality corpora for the purposes of training task-oriented, end-to-end dialogue systems. This paper describes a dialogue collection process which used crowd-sourcing and a Wizard-of-Oz set-up to collect written human-human dialogues for a task-oriented, multi-domain scenario. The context is a tourism agency, where users try to select the more desired hotel, restaurant, museum or shop. To respond to users, wizards were assisted by an exploratory system supporting
doi:10.1007/978-3-030-27947-9_34
fatcat:z277rreqprexjggcgxt3pnkqoq