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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| Challenge: | This workshop will present current research on aligning Frame Semantic resources across languages . resources based on FrameNet have been created for roughly a dozen languages based upon Fillmore's Frame Sementics . |
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