AI RESEARCH
Enhancing Structured Meaning Representations with Aspect Classification
arXiv CS.CL
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ArXi:2603.24797v1 Announce Type: new To fully capture the meaning of a sentence, semantic representations should encode aspect, which describes the internal temporal structure of events. In graph-based meaning representation frameworks such as Uniform Meaning Representations (UMR), aspect lets one know how events unfold over time, including distinctions such as states, activities, and completed events. Despite its importance, aspect remains sparsely annotated across semantic meaning representation frameworks.