@InProceedings{krause-EtAl:2017:W17-55,
  author    = {Krause, Sebastian  and  Kozhevnikov, Mikhail  and  Malmi, Eric  and  Pighin, Daniele},
  title     = {Redundancy Localization for the Conversationalization of Unstructured Responses},
  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     = {115--126},
  abstract  = {Conversational agents offer users a natural-language interface to accomplish
	tasks, entertain themselves, or access information. Informational dialogue is
	particularly challenging in that the agent has to hold a conversation on an
	open topic, and to achieve a reasonable coverage it generally needs to digest
	and present unstructured information from textual sources. Making responses
	based on such sources sound natural and fit appropriately into the conversation
	context is a topic of ongoing research, one of the key issues of which is
	preventing the agent's responses from sounding repetitive. Targeting this
	issue, we propose a new task, known as redundancy localization, which aims to
	pinpoint semantic overlap between text passages. To help address it
	systematically, we formalize the task, prepare a public dataset with
	fine-grained redundancy labels, and propose a model utilizing a weak training
	signal defined over the results of a passage-retrieval system on web texts. The
	proposed model demonstrates superior performance compared to a state-of-the-art
	entailment model and yields encouraging results when applied to a real-world
	dialogue.},
  url       = {http://aclweb.org/anthology/W17-5515}
}