@inproceedings{pannitto-herbelot-2023-calamo,
    title = "{CAL}a{M}o: a Constructionist Assessment of Language Models",
    author = "Pannitto, Ludovica  and
      Herbelot, Aur{\'e}lie",
    editor = "Bonial, Claire  and
      Tayyar Madabushi, Harish",
    booktitle = "Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)",
    month = mar,
    year = "2023",
    address = "Washington, D.C.",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.cxgsnlp-1.3/",
    pages = "21--30",
    abstract = "This paper presents a novel framework for evaluating Neural Language Models' linguistic abilities using a constructionist approach. Not only is the usage-based model in line with the un- derlying stochastic philosophy of neural architectures, but it also allows the linguist to keep meaning as a determinant factor in the analysis. We outline the framework and present two possible scenarios for its application."
}