@InProceedings{lloret-EtAl:2017:MultiLing2017,
  author    = {Lloret, Elena  and  Boldrini, Ester  and  Martinez-Barco, Patricio  and  Palomar, Manuel},
  title     = {Ultra-Concise Multi-genre Summarisation of Web2.0: towards Intelligent Content Generation},
  booktitle = {Proceedings of the MultiLing 2017 Workshop on Summarization and Summary Evaluation Across Source Types and Genres},
  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {37--46},
  abstract  = {The electronic Word of Mouth has become the most powerful communication channel
	thanks to the wide usage of the Social Media. Our research proposes an approach
	towards the production of automatic ultra-concise summaries from multiple Web
	2.0
	sources. We exploit user-generated content from reviews and microblogs in dif-
	ferent domains, and compile and analyse four types of ultra-concise summaries:
	a)positive information, b) negative information; c) both or d) objective
	information. The appropriateness and usefulness of our model is demonstrated by
	its successful results and great potential in real-life applications, thus
	meaning a relevant advancement of the state-of-the-art approaches.},
  url       = {http://www.aclweb.org/anthology/W17-1006}
}