Scene Abstraction for Lexical Semantics: Structured Representations of Situated Meaning
Coffee and tea share many properties, yet they evoke strikingly different situations, atmospheres, and affective associations. These situated dimensions of word meaning are real and systematic, but they remain implicit in most computational representations of lexical meaning. We propose Scene Abstraction, a framework for constructing structured representations of the interpretive scenes that words participate in across usage contexts. Each scene consists of a Contextual Scene (Events, Entities, Setting) and an expression-centered Expression Profile (Engaged events, Generalizable properties, Evoked emotions), operationalized through few-shot prompting of a large language model. Our contrib...
| Authors | Yejin Cho, Katrin Erk |
|---|---|
| Primary category | cs.CL |
| Published | 21 May 2026 |
| Last updated at source | 22 May 2026 |
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