@InProceedings{barros-gkatzia-lloret:2017:INLG2017,
  author    = {Barros, Cristina  and  Gkatzia, Dimitra  and  Lloret, Elena},
  title     = {Improving the Naturalness and Expressivity of Language Generation for Spanish},
  booktitle = {Proceedings of the 10th International Conference on Natural Language Generation},
  month     = {September},
  year      = {2017},
  address   = {Santiago de Compostela, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {41--50},
  abstract  = {We present a flexible Natural Language Generation approach for Spanish, focused
	on the surface realisation stage, which integrates an inflection module in
	order to improve the naturalness and expressivity of the generated language.
	This inflection module inflects the verbs using an ensemble of trainable
	algorithms 
	whereas the other types of words (e.g. nouns, determiners, etc) are inflected
	using hand-crafted rules. We show that our approach achieves 2% higher accuracy
	than two state-of-art inflection generation approaches. Furthermore, our
	proposed approach also predicts an extra feature: the inflection of the
	imperative mood, which was not taken into account by previous work. We also
	present a user evaluation, where we demonstrate that the proposed method
	significantly improves the perceived naturalness of the generated language.},
  url       = {http://www.aclweb.org/anthology/W17-3505}
}