@InProceedings{pluss-piwek:2016:COLING,
  author    = {Pl\"{u}ss, Brian  and  Piwek, Paul},
  title     = {Measuring Non-cooperation in Dialogue},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1925--1936},
  abstract  = {This paper introduces a novel method for measuring non-cooperation in dialogue.
	The key idea is that linguistic non-cooperation can be measured in terms of the
	extent to which dialogue participants deviate from conventions regarding the
	proper introduction and discharging of conversational obligations (e.g., the
	obligation to respond to a question). Previous work on non cooperation has
	focused mainly on non-linguistic task-related non-cooperation or modelled
	non-cooperation in terms of special rules describing non-cooperative
	behaviours. In contrast, we start from rules for normal/correct dialogue
	behaviour - i.e., a dialogue game - which in principle can be derived from a
	corpus of cooperative dialogues, and provide a quantitative measure for the
	degree to which participants comply with these rules. We evaluated the model on
	a corpus of political interviews, with encouraging results. The model predicts
	accurately the degree of cooperation for one of the two dialogue game roles
	(interviewer) and also the relative cooperation for both roles (i.e., which
	interlocutor in the conversation was most cooperative). Being able to measure
	cooperation has applications in many areas from the analysis - manual, semi and
	fully automatic - of natural language interactions to human-like virtual
	personal assistants, tutoring agents, sophisticated dialogue systems, and
	role-playing virtual humans.},
  url       = {http://aclweb.org/anthology/C16-1181}
}