@inproceedings{dobnik-kelleher-2023-role,
    title = "On the role of resources in the age of large language models",
    author = "Dobnik, Simon  and
      Kelleher, John",
    editor = "Breitholtz, Ellen  and
      Lappin, Shalom  and
      Loaiciga, Sharid  and
      Ilinykh, Nikolai  and
      Dobnik, Simon",
    booktitle = "Proceedings of the 2023 CLASP Conference on Learning with Small Data (LSD)",
    month = sep,
    year = "2023",
    address = "Gothenburg, Sweden",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.clasp-1.20/",
    pages = "191--197",
    abstract = "We evaluate the role of expert-based domain knowledge and resources in relation to training large language models by referring to our work on training and evaluating neural models, also in under-resourced scenarios which we believe also informs training models for {\textquotedblleft}well-resourced{\textquotedblright} languages and domains. We argue that our community needs both large-scale datasets and small but high-quality data based on expert knowledge and that both activities should work hand-in-hand."
}