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Creators/Authors contains: "Blackmore, John"

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  1. We study resolution of ambiguity in prepositional phrase attachment by Large Language Models in the zero-shot setting. We evaluate a strong “plausibility” baseline derived from token probabilities of descriptions encoding alternative attachments, and explore possible improvements using additional token probabilities that reflect aspects of information structure. Error analysis suggests directions for more sophisticated tools, common-sense reasoning, world knowledge, and additional context to better resolve ambiguity. 
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    Free, publicly-accessible full text available September 8, 2026