Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation
Abstract In the real world, stance detection tasks often involve assessing the stance or attitude of a given text toward new, unseen targets, a task known as zero-shot stance detection. However, zero-shot stance detection often suffers from issues such as sparse data annotation and inherent task com...
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Main Authors: | Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang |
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Format: | Article |
Language: | English |
Published: |
Springer
2025-01-01
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Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-024-01767-8 |
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