@inproceedings{beekhuizen-2025-spatial,
    title = "Spatial relation marking across languages: extraction, evaluation, analysis",
    author = "Beekhuizen, Barend",
    editor = "Boleda, Gemma  and
      Roth, Michael",
    booktitle = "Proceedings of the 29th Conference on Computational Natural Language Learning",
    month = jul,
    year = "2025",
    address = "Vienna, Austria",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/landing_page/2025.conll-1.37/",
    pages = "571--585",
    ISBN = "979-8-89176-271-8",
    abstract = "This paper presents a novel task, detecting Spatial Relation Markers (SRMs, like English {\_}**in** the bag{\_}), across languages, alongside a model for this task, RUIMTE. Using a massively parallel corpus of Bible translations, the model is evaluated against existing and baseline models on the basis of a novel evaluation set. The model presents high quality SRM extraction, and an accurate identification of situations where language have zero-marked SRMs."
}