Adversarial Learning for Zero-Shot Stance Detection on Social Media

Emily Allaway; Malavika Srikanth; Kathleen McKeown

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arXiv · 2105.06603

Adversarial Learning for Zero-Shot Stance Detection on Social Media

Emily Allaway·Malavika Srikanth·Kathleen McKeown

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Abstract

Stance detection on social media can help to identify and understand slanted news or commentary in everyday life. In this work, we propose a new model for zero-shot stance detection on Twitter that uses adversarial learning to generalize across topics. Our model achieves state-of-the-art performance on a number of unseen test topics with minimal computational costs. In addition, we extend zero-shot stance detection to new topics, highlighting future directions for zero-shot transfer.

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Emily Allaway, Malavika Srikanth, Kathleen McKeown. 2021-05-14. Adversarial Learning for Zero-Shot Stance Detection on Social Media. https://arxiv.org/abs/2105.06603

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