@InProceedings{kuptavanich-EtAl:2018:W18-65,
  author    = {Kuptavanich, Kittipitch  and  Reiter, Ehud  and  van Deemter, Kees  and  Siddharthan, Advaith},
  title     = {Generating Summaries of Sets of Consumer Products: Learning from Experiments},
  booktitle = {Proceedings of the 11th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2018},
  address   = {Tilburg University, The Netherlands},
  publisher = {Association for Computational Linguistics},
  pages     = {403--407},
  abstract  = {We explored the task of creating a textual summary describing a large set of objects characterised by a small number of features using an e-commerce dataset. When a set of consumer products is large and varied, it can be difficult for a consumer to understand how the products in the set differ; consequently, it can be challenging to choose the most suitable product from the set. To assist consumers, we generated high-level summaries of product sets. Two generation algorithms are presented, discussed, and evaluated with human users. Our evaluation results suggest a positive contribution to consumers' understanding of the domain.},
  url       = {http://www.aclweb.org/anthology/W18-6548}
}