@InProceedings{benikova-EtAl:2016:COLING,
  author    = {Benikova, Darina  and  Mieskes, Margot  and  Meyer, Christian M.  and  Gurevych, Iryna},
  title     = {Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources},
  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     = {1039--1050},
  abstract  = {Coherent extracts are a novel type of summary combining the advantages of
	manually created abstractive summaries, which are fluent but difficult to
	evaluate, and low-quality automatically created extractive summaries, which
	lack coherence and structure. We use a corpus of heterogeneous documents to
	address the issue that information seekers usually face -- a variety of
	different types of information sources. We directly extract information from
	these, but minimally redact and meaningfully order it to form a coherent text.
	Our qualitative and quantitative evaluations show that quantitative results are
	not sufficient to judge the quality of a summary and that other quality
	criteria, such as coherence, should also be taken into account. We find that
	our manually created corpus is of high quality and that it has the potential to
	bridge the gap between reference corpora of abstracts and automatic methods
	producing extracts. Our corpus is available to the research community for
	further development.},
  url       = {http://aclweb.org/anthology/C16-1099}
}