@inproceedings{castro-ferreira-etal-2018-surface,
    title = "Surface Realization Shared Task 2018 ({SR}18): The {T}ilburg {U}niversity Approach",
    author = "Castro Ferreira, Thiago  and
      Wubben, Sander  and
      Krahmer, Emiel",
    editor = "Mille, Simon  and
      Belz, Anja  and
      Bohnet, Bernd  and
      Pitler, Emily  and
      Wanner, Leo",
    booktitle = "Proceedings of the First Workshop on Multilingual Surface Realisation",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W18-3604/",
    doi = "10.18653/v1/W18-3604",
    pages = "35--38",
    abstract = "This study describes the approach developed by the Tilburg University team to the shallow task of the Multilingual Surface Realization Shared Task 2018 (SR18). Based on (Castro Ferreira et al., 2017), the approach works by first preprocessing an input dependency tree into an ordered linearized string, which is then realized using a statistical machine translation model. Our approach shows promising results, with BLEU scores above 50 for 5 different languages (English, French, Italian, Portuguese and Spanish) and above 35 for the Dutch language."
}