Towards Semantic Integration of Opinions: Unified Opinion Concepts Ontology and Extraction Task
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Abstract (arXiv)
This paper introduces the Unified Opinion Concepts (UOC) ontology to integrate opinions within their semantic context. The UOC ontology bridges the gap between the semantic representation of opinion across different formulations. It is a unified conceptualisation based on the facets of opinions studied extensively in NLP and semantic structures described through symbolic descriptions. We further propose the Unified Opinion Concept Extraction (UOCE) task of extracting opinions from the text with enhanced expressivity. Additionally, we provide a manually extended and re-annotated evaluation dataset for this task and tailored evaluation metrics to assess the adherence of extracted opinions to UOC semantics. Finally, we establish baseline performance for the UOCE task using state-of-the-art generative models.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 12 of its 49 references that are in the map. First posted on arXiv 24 May 2025.
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12 of 49 references.
References · 12
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.