@inproceedings{verheyen-etal-2025-shall,
    title = "You Shall Know a Construction by the Company it Keeps: Computational Construction Grammar with Embeddings",
    author = "Verheyen, Lara  and
      Doumen, Jonas  and
      Van Eecke, Paul  and
      Beuls, Katrien",
    editor = "Bonial, Claire  and
      Torgbi, Melissa  and
      Weissweiler, Leonie  and
      Blodgett, Austin  and
      Beuls, Katrien  and
      Van Eecke, Paul  and
      Tayyar Madabushi, Harish",
    booktitle = "Proceedings of the Second International Workshop on Construction Grammars and NLP",
    month = sep,
    year = "2025",
    address = {D{\"u}sseldorf, Germany},
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/2025.cxgsnlp-1.8/",
    pages = "75--83",
    ISBN = "979-8-89176-318-0",
    abstract = "Linguistic theories and models of natural language can be divided into two categories, depending on whether they represent and process linguistic information numerically or symbolically. Numerical representations, such as the embeddings that are at the core of today{'}s large language models, have the advantage of being learnable from textual data, and of being robust and highly scalable. Symbolic representations, like the ones that are commonly used to formalise construction grammar theories, have the advantage of being compositional and interpretable, and of supporting sound logic reasoning. While both approaches build on very different mathematical frameworks, there is no reason to believe that they are incompatible. In the present paper, we explore how numerical, in casu distributional, representations of linguistic forms, constructional slots and grammatical categories can be integrated in a computational construction grammar framework, with the goal of reaping the benefits of both symbolic and numerical methods."
}