Fine-tuning neural LMs on garden-path sentences produces models whose surprisal accounts for human reading times on both garden-path effects and naturalistic sentences.
InProceedings of the 2020 Conference on Em- pirical Methods in Natural Language Processing: System Demonstrations, pages 38–45, Online
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An Existence Proof for Neural Language Models That Can Explain Garden-Path Effects via Surprisal
Fine-tuning neural LMs on garden-path sentences produces models whose surprisal accounts for human reading times on both garden-path effects and naturalistic sentences.