@InProceedings{li-he-zhuge:2016:COLING,
  author    = {Li, Wei  and  He, Lei  and  Zhuge, Hai},
  title     = {Abstractive News Summarization based on Event Semantic Link Network},
  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     = {236--246},
  abstract  = {This paper studies the abstractive multi-document summarization for
	event-oriented news texts through event information extraction and abstract
	representation. Fine-grained event mentions and semantic relations between them
	are extracted to build a unified and connected event semantic link network, an
	abstract representation of source texts. A network reduction algorithm is
	proposed to summarize the most salient and coherent event information. New
	sentences with good linguistic quality are automatically generated and selected
	through sentences over-generation and greedy-selection processes. Experimental
	results on DUC 2006 and DUC 2007 datasets show that our system significantly
	outperforms the state-of-the-art extractive and abstractive baselines under
	both pyramid and ROUGE evaluation metrics.},
  url       = {http://aclweb.org/anthology/C16-1023}
}