@InProceedings{yu-EtAl:2016:COLING,
  author    = {Yu, Naitong  and  Huang, Minlie  and  Shi, Yuanyuan  and  zhu, xiaoyan},
  title     = {Product Review Summarization by Exploiting Phrase Properties},
  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     = {1113--1124},
  abstract  = {We propose a phrase-based approach for generating product review summaries. The
	main idea of our method is to leverage phrase properties to choose a subset of
	optimal phrases for generating the final summary. Specifically, we exploit two
	phrase properties, popularity and specificity. Popularity describes how popular
	the phrase is in the original reviews. Specificity describes how descriptive a
	phrase is in comparison to generic comments. We formalize the phrase selection
	procedure as an optimization problem and solve it using integer linear
	programming (ILP). An aspect-based bigram language model is used for generating
	the final summary with the selected phrases. Experiments show that our
	summarizer outperforms the other baselines.
	Author{4}{Affiliation}},
  url       = {http://aclweb.org/anthology/C16-1106}
}