Neural language models as psycholinguistic subjects: Representations of syntactic state

We investigate the extent to which the behavior of neural network language models reflects incremental representations of syntactic state. To do so, we employ experimental methodologies which were originally developed in the field of psycholinguistics to study syntactic representation in the human m...

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Bibliographic Details
Main Authors: Qian, Peng (Author), Levy, Roger P (Author)
Other Authors: Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor)
Format: Article
Language:English
Published: Association for Computational Linguistics, 2021-04-28T18:44:27Z.
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