arXiv — NLP / Computation & Language · · 3 min read

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse

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Computer Science > Computation and Language

arXiv:2608.10810 (cs)
[Submitted on 11 Aug 2026]

Title:Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse

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Abstract:Emotion understanding in discourse requires reasoning beyond surface sentiment because speakers often convey affect through indirect, implicit, polite, ironic, or deliberately mismatched expressions. Existing emotion benchmarks mainly annotate surface polarity or final emotion categories, while lacking a structured account of how explicit expression, implicit affect, pragmatic intent, and fine grained emotion interact. This limitation makes current evaluations insensitive to cases where affective meaning is concealed, weakened, inverted, or pragmatically reshaped, thereby obscuring model failures in deeper emotion understanding. To address this gap, we introduce CUE Bench, a Chinese Unsaid Emotion benchmark that centers on Affective Stance and covers diverse communicative scenarios. CUE Bench constructs nine human interpretable affective stances from explicit implicit polarity interaction and further provides intent and fine grained emotion annotations for structured affective inference. Experiments show that incorporating Affective Stance improves fine grained emotion recognition by 3.5 percentage points and pragmatic intent detection by 7.8 percentage points over strong baselines.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2608.10810 [cs.CL]
  (or arXiv:2608.10810v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.10810
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: YunYao Zhang [view email]
[v1] Tue, 11 Aug 2026 11:29:32 UTC (1,080 KB)
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