@InProceedings{hohn:2017:W17-55,
  author    = {H\"{o}hn, Sviatlana},
  title     = {A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language},
  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     = {395--405},
  abstract  = {This article describes a model of other-initiated self-repair for a chatbot
	that helps to practice conversation in a foreign language. The model was
	developed using a corpus of instant messaging conversations between German
	native and non-native speakers. Conversation Analysis helped to create
	computational models from a small number of examples. The model has been
	validated in an AIML-based chatbot. Unlike typical retrieval-based dialogue
	systems, the explanations are generated at run-time from a linguistic database.},
  url       = {http://aclweb.org/anthology/W17-5547}
}