Papers with Open-Target Stance Detection

1 papers
Can Large Language Models Address Open-Target Stance Detection? (2025.findings-acl)

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Challenge: Stance detection (SD) identifies a text’s position towards a target, typically labeled as favor, against, or none.
Approach: They introduce Open-Target Stance Detection (OTSD) which aims to determine the position of a text towards a target, typically labeled as favor, against, or none.
Outcome: The proposed model outperforms the only existing task, Target-Stance Extraction (TSE), which benefits from predefined targets.

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