Papers by Frank Wildenburg

1 papers
Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST! (2024.findings-acl)

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Challenge: Existing language models are unable to identify and interpret semantically underspecified sentences when explicitly prompted.
Approach: They propose a Dataset of semantically underspecified Sentences grouped by type to study whether pre-trained language models correctly identify and interpret underspecify sentences.
Outcome: The proposed dataset shows that pre-trained language models are reasonably able to identify and interpret underspecified sentences when explicitly prompted.

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