@InProceedings{deriu-cieliebak:2018:W18-65,
  author    = {Deriu, Jan Milan  and  Cieliebak, Mark},
  title     = {Syntactic Manipulation for Generating more Diverse and Interesting Texts},
  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     = {22--34},
  abstract  = {Natural Language Generation plays an important role in the domain of dialogue systems as it determines how users perceive the system. Recently, deep-learning based systems have been proposed to tackle this task, as they generalize better and require less amounts of manual effort to implement them for new domains. However, deep learning systems usually adapt a very homogeneous sounding writing style which expresses little variation. \\},
  url       = {http://www.aclweb.org/anthology/W18-6503}
}