Adversarial Learning for Zero-Shot Stance Detection on Social Media
2021-05-14NAACL 2021Code Available1· sign in to hype
Emily Allaway, Malavika Srikanth, Kathleen McKeown
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/MalavikaSrikanth16/adversarial-learning-for-stanceOfficialIn paperpytorch★ 17
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.