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.
Pannitto, L., Herbelot, A. (2023). CALaMo: a Constructionist Assessment of Language Models. Washington, D.C. : Association for Computational Linguistics.
CALaMo: a Constructionist Assessment of Language Models
Pannitto, Ludovica
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2023
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.File in questo prodotto:
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