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InProceedings of the 2025 Conference on Empirical Methods in Natural Lan- guage Processing, pages 580–595, Suzhou, China

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cs.CL 1

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2026 1

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SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)

cs.CL · 2026-04-08 · unverdicted · novelty 6.0

The paper introduces the DimABSA shared task for SemEval-2026 that reformulates aspect-based sentiment analysis and stance detection as valence-arousal regression problems with subtasks for regression, triplet, and quadruplet extraction plus a new continuous F1 metric.

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  • SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA) cs.CL · 2026-04-08 · unverdicted · none · ref 13

    The paper introduces the DimABSA shared task for SemEval-2026 that reformulates aspect-based sentiment analysis and stance detection as valence-arousal regression problems with subtasks for regression, triplet, and quadruplet extraction plus a new continuous F1 metric.