Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State

NAACL 2019 Richard FutrellEthan WilcoxTakashi MoritaPeng QianMiguel BallesterosRoger Levy

We deploy the methods of controlled psycholinguistic experimentation to shed light on the extent to which the behavior of neural network language models reflects incremental representations of syntactic state. To do so, we examine model behavior on artificial sentences containing a variety of syntactically complex structures... (read more)

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