@InProceedings{falke-gurevych:2017:EMNLP2017,
  author    = {Falke, Tobias  and  Gurevych, Iryna},
  title     = {Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps},
  booktitle = {Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2017},
  address   = {Copenhagen, Denmark},
  publisher = {Association for Computational Linguistics},
  pages     = {2951--2961},
  abstract  = {Concept maps can be used to concisely represent important information and bring
	structure into large document collections. Therefore, we study a variant of
	multi-document summarization that produces summaries in the form of concept
	maps. However, suitable evaluation datasets for this task are currently
	missing. To close this gap, we present a newly created corpus of concept maps
	that summarize heterogeneous collections of web documents on educational
	topics. It was created using a novel crowdsourcing approach that allows us to
	efficiently determine important elements in large document collections. We
	release the corpus along with a baseline system and proposed evaluation
	protocol to enable further research on this variant of summarization.},
  url       = {https://www.aclweb.org/anthology/D17-1320}
}