@InProceedings{castroferreira-EtAl:2017:INLG2017,
  author    = {Castro Ferreira, Thiago  and  Calixto, Iacer  and  Wubben, Sander  and  Krahmer, Emiel},
  title     = {Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation},
  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     = {1--10},
  abstract  = {In this paper, we study AMR-to-text generation, framing it as a translation
	task and comparing two different MT approaches (Phrase-based and Neural MT). We
	systematically study the effects of 3 AMR preprocessing steps
	(Delexicalisation, Compression, and Linearisation) applied before the MT phase.
	Our results show that preprocessing indeed helps, although the benefits differ
	for the two MT models.},
  url       = {http://www.aclweb.org/anthology/W17-3501}
}