@inproceedings{castro-ferreira-etal-2017-linguistic,
    title = "Linguistic realisation as machine translation: Comparing different {MT} models for {AMR}-to-text generation",
    author = "Castro Ferreira, Thiago  and
      Calixto, Iacer  and
      Wubben, Sander  and
      Krahmer, Emiel",
    editor = "Alonso, Jose M.  and
      Bugar{\'\i}n, Alberto  and
      Reiter, Ehud",
    booktitle = "Proceedings of the 10th International Conference on Natural Language Generation",
    month = sep,
    year = "2017",
    address = "Santiago de Compostela, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-3501",
    doi = "10.18653/v1/W17-3501",
    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.",
}