@InProceedings{galitsky-ilvovsky:2017:RANLP,
  author    = {Galitsky, Boris  and  Ilvovsky, Dmitry},
  title     = {On a Chat Bot Finding Answers with Optimal Rhetoric Representation},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {253--259},
  abstract  = {We demo a chat bot with the focus on complex, multi-sentence questions that
	enforce what we call rhetoric agreement of answers with questions. Chat bot
	finds answers which are not only relevant by topic but also match the question
	by style, argumentation patterns, communication means, experience level and
	other attributes. The system achieves rhetoric agreement by learning pairs of
	discourse trees (DTs) for question (Q) and answer (A). We build a library of
	best answer DTs for most types of complex questions. To better recognize a
	valid rhetoric agreement between Q and A, DTs are extended with the labels for
	communicative actions. An algorithm for finding the best DT for an A, given a
	Q, is evaluated.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_035}
}