@InProceedings{elasri-EtAl:2017:W17-55,
  author    = {El Asri, Layla  and  Schulz, Hannes  and  Sharma, Shikhar  and  Zumer, Jeremie  and  Harris, Justin  and  Fine, Emery  and  Mehrotra, Rahul  and  Suleman, Kaheer},
  title     = {Frames: a corpus for adding memory to goal-oriented dialogue systems},
  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     = {207--219},
  abstract  = {This paper proposes a new dataset, Frames, composed of 1369 human-human
	dialogues with an average of 15 turns per dialogue. This corpus contains
	goal-oriented dialogues between users who are given some constraints to book a
	trip and assistants who search a database to find appropriate trips. The users
	exhibit complex decision-making behaviour which involve comparing trips,
	exploring different options, and selecting among the trips that were discussed
	during the dialogue. To drive research on dialogue systems towards handling
	such behaviour, we have annotated and released the dataset and we propose in
	this paper a task called frame tracking. This task consists of keeping track of
	different semantic frames throughout each dialogue. We propose a rule-based
	baseline and analyse the frame tracking task through this baseline.},
  url       = {http://aclweb.org/anthology/W17-5526}
}