Papers by Takashi Morita

1 papers
Neural language models as psycholinguistic subjects: Representations of syntactic state (N19-1)

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Challenge: a recent study examines the extent to which neural network language models reflect incremental representations of syntactic state . we examine neural network model behavior on sentences chosen to probe specific aspects of the learned representations .
Approach: They employ experimental methodologies developed in psycholinguistics to study syntactic representation in the human mind.
Outcome: The proposed models are trained on large datasets and only sensitive to subtle cues . the results raise questions about the accuracy of the models and their performance .

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