基于对抗学习的情感引导领域自适应假新闻检测方法
计算与语言
2022-12-01 v1
摘要
近期假新闻检测工作显示了使用情感作为特征以提升性能的有效性。然而，情感引导特征用于假新闻检测的跨领域影响仍是一个开放问题。本工作中，我们提出一种情感引导、领域自适应的多任务方法用于跨领域假新闻检测，证明了情感引导模型在多个数据集跨领域设置中的有效性。
引用
@article{arxiv.2211.17108,
title = {An Emotion-guided Approach to Domain Adaptive Fake News Detection using Adversarial Learning},
author = {Arkajyoti Chakraborty and Inder Khatri and Arjun Choudhry and Pankaj Gupta and Dinesh Kumar Vishwakarma and Mukesh Prasad},
journal= {arXiv preprint arXiv:2211.17108},
year = {2022}
}
备注
Accepted in the Student Abstract & Poster Presentation track at AAAI 2023. arXiv admin note: substantial text overlap with arXiv:2211.13718