Papers with FrameNet lexical resource

1 papers
Do LLMs Encode Frame Semantics? Evidence from Frame Identification (2025.emnlp-main)

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Challenge: Using the FrameNet lexical resource, we evaluate large language models under prompt-based inference and observe that they can perform frame identification effectively even without explicit supervision.
Approach: They evaluate large language models under prompt-based inference and observe that they encode latent knowledge of frame semantics.
Outcome: The proposed model can generate coherent frame definitions while generalizing well to out-of-domain benchmarks.

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