@InProceedings{williams-liden:2017:W17-55,
  author    = {Williams, Jason D  and  Liden, Lars},
  title     = {Demonstration of interactive teaching for end-to-end dialog control with hybrid code networks},
  booktitle = {Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {August},
  year      = {2017},
  address   = {Saarbrücken, Germany},
  publisher = {Association for Computational Linguistics},
  pages     = {82--85},
  abstract  = {This is a demonstration of interactive teaching for practical end-to-end dialog
	systems driven by a recurrent neural network.  In this approach, a developer
	teaches the network by interacting with the system and providing on-the-spot
	corrections.  Once a system is deployed, a developer can also correct mistakes
	in logged dialogs.  This demonstration shows both of these teaching methods
	applied to dialog systems in three domains: pizza ordering, restaurant
	information, and weather forecasts.},
  url       = {http://aclweb.org/anthology/W17-5511}
}