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Learning multi-domain dialogues

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Even though machine learning has become the major scene in dialogue research community, the real breakthrough has been blocked by the scale of data available. To address this fundamental obstacle, we introduce the Multi-Domain Wizard-of-Oz dataset (MultiWOZ), a fully-labeled collection of human-human written conversations spanning over multiple domains and topics. First results on multi-domain belief tracking and end-to-end modelling will be analysed along with discussing open problems.

This talk is part of the NLIP Seminar Series series.

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