@InProceedings{galitsky-ilvovsky:2017:EACLDemo,
  author    = {Galitsky, Boris  and  Ilvovsky, Dmitry},
  title     = {Chatbot with a Discourse Structure-Driven Dialogue Management},
  booktitle = {Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {87--90},
  abstract  = {We build a chat bot with iterative content exploration that leads a user
	through a personalized knowledge acquisition session. The chat bot is designed
	as an automated customer support or product recommendation agent assisting a
	user in learning product features, product usability, suitability,
	troubleshooting and other related tasks. To control the user navigation through
	con- tent, we extend the notion of a linguistic discourse tree (DT) towards a
	set of documents with multiple sections covering a topic. For a given
	paragraph, a DT is built by DT parsers. We then combine DTs for the paragraphs
	of documents to form what we call extended DT, which is a basis for interactive
	content exploration facilitated by the chat bot. To provide cohesive answers,
	we use a measure of rhetoric agreement between a question and an answer by tree
	kernel learning of their DTs.},
  url       = {http://aclweb.org/anthology/E17-3022}
}