• Corpus ID: 2129889

Learning End-to-End Goal-Oriented Dialog

  title={Learning End-to-End Goal-Oriented Dialog},
  author={Antoine Bordes and Jason Weston},
Traditional dialog systems used in goal-oriented applications require a lot of domain-specific handcrafting, which hinders scaling up to new domains. [] Key Result We confirm those results by comparing our system to a hand-crafted slot-filling baseline on data from the second Dialog State Tracking Challenge (Henderson et al., 2014a). We show similar result patterns on data extracted from an online concierge service.

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