@InProceedings{wang-EtAl:2016:COLING1,
  author    = {Wang, Xun  and  Nishino, Masaaki  and  Hirao, Tsutomu  and  Sudoh, Katsuhito  and  Nagata, Masaaki},
  title     = {Exploring Text Links for Coherent Multi-Document Summarization},
  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     = {213--223},
  abstract  = {Summarization aims to represent source documents by a shortened passage.
	Existing methods focus on the extraction of key information, but often neglect
	coherence. Hence the generated summaries suffer from a lack of readability. 
	To address this problem, we have developed a graph-based method by exploring
	the links between text to produce coherent summaries.
	Our approach involves finding a sequence of sentences that best represent the
	key information in a coherent way. In contrast to the previous methods that
	focus only on salience, the proposed method addresses both coherence and
	informativeness based on textual linkages. We conduct experiments on the
	DUC2004 summarization task data set. A performance comparison reveals that the
	summaries generated by the proposed system achieve comparable results in terms
	of the ROUGE metric, and show improvements in readability by human evaluation.},
  url       = {http://aclweb.org/anthology/C16-1021}
}