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Not All or None: Dynamic Construction of Target-aware Memory Graph for Conversational Stance Detection

arXiv · AI, language, vision and robotics · article · Aug 29, 2026 · UTC

Stance detection is crucial for understanding the underlying attitude of an expression towards a target. Conversational stance detection is a more challenging stance detection task in real-world social media scenarios, as it involves detecting the user's stance by leveraging the target-related historical statements across conversational sessions. In this paper, we propose target-aware Memory Graph TamGraph, a novel method that dynamically leverages target-related statements for conversational stance detection. Instead of considering all preceding historical conversations or using no prior conv

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