@article{deemter-2023-dimensions,
    title = "Dimensions of Explanatory Value in {NLP} Models",
    author = "van Deemter, Kees",
    journal = "Computational Linguistics",
    month = sep,
    year = "2023",
    address = "Cambridge, MA",
    publisher = "MIT Press",
    url = "https://preview.aclanthology.org/fix-sig-urls/2023.cl-3.6/",
    doi = "10.1162/coli_a_00480",
    pages = "749--761",
    abstract = "Performance on a dataset is often regarded as the key criterion for assessing NLP models. I argue for a broader perspective, which emphasizes scientific explanation. I draw on a long tradition in the philosophy of science, and on the Bayesian approach to assessing scientific theories, to argue for a plurality of criteria for assessing NLP models. To illustrate these ideas, I compare some recent models of language production with each other. I conclude by asking what it would mean for institutional policies if the NLP community took these ideas onboard."
}