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- Title
Dimensions of Explanatory Value in NLP Models.
- Authors
Deemter, Kees van
- 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.
- Subjects
PHILOSOPHY of science; TRADITION (Philosophy)
- Publication
Computational Linguistics, 2023, Vol 49, Issue 3, p749
- ISSN
0891-2017
- Publication type
Article
- DOI
10.1162/coli_a_00480