@InProceedings{hirao-nishino-nagata:2017:Short,
  author    = {Hirao, Tsutomu  and  Nishino, Masaaki  and  Nagata, Masaaki},
  title     = {Oracle Summaries of Compressive Summarization},
  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {July},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {275--280},
  abstract  = {This paper derives an Integer Linear Programming (ILP) formulation to obtain an
	oracle summary of the compressive summarization paradigm in terms of ROUGE. The
	oracle summary is essential to reveal the upper bound performance of the
	paradigm. Experimental results on the DUC dataset showed that ROUGE scores of
	compressive oracles are significantly higher than those of extractive oracles
	and state-of-the-art summarization systems. These results reveal that
	compressive summarization is a promising  paradigm and encourage us to continue
	with the research to produce informative summaries.},
  url       = {http://aclweb.org/anthology/P17-2043}
}