@InProceedings{puzikov-gurevych:2018:W18-65,
  author    = {Puzikov, Yevgeniy  and  Gurevych, Iryna},
  title     = {E2E NLG Challenge: Neural Models vs. Templates},
  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     = {463--471},
  abstract  = {E2E NLG Challenge is a shared task on generating restaurant descriptions from sets of key-value pairs. This paper describes the results of our participation in the challenge. We develop a simple, yet effective neural encoder-decoder model which produces fluent restaurant descriptions and outperforms a strong baseline. We further analyze the data provided by the organizers and conclude that the task can also be approached with a template-based model developed in just a few hours.},
  url       = {http://www.aclweb.org/anthology/W18-6557}
}