@inproceedings{wijnholds-moortgat-2023-structural,
    title = "Structural Ambiguity and its Disambiguation in Language Model Based Parsers: the Case of {D}utch Clause Relativization",
    author = "Wijnholds, Gijs  and
      Moortgat, Michael",
    editor = "Jiang, Jing  and
      Reitter, David  and
      Deng, Shumin",
    booktitle = "Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2023.conll-1.11/",
    doi = "10.18653/v1/2023.conll-1.11",
    pages = "155--164",
    abstract = "This paper addresses structural ambiguity in Dutch relative clauses. By investigating the task of disambiguation by grounding, we study how the presence of a prior sentence can resolve relative clause ambiguities. We apply this method to two parsing architectures in an attempt to demystify the parsing and language model components of two present-day neural parsers. Results show that a neurosymbolic parser, based on proof nets, is more open to data bias correction than an approach based on universal dependencies, although both set-ups suffer from a comparable initial data bias."
}