Research Area:  Machine Learning

Abstract:

In this study, we propose a new multi-task learning approach for rumor detection and stance classification tasks. This neural network model has a shared layer and two task specific layers. We incorporate the user credibility information into the rumor detection layer, and we also apply attention mechanism in the rumor detection process. The attended information include not only the hidden states in the rumor detection layer, but also the hidden states from the stance detection layer. The experiments on two datasets show that our proposed model outperforms the state-of-the-art rumor detection approaches.

Keywords:  

Author(s) Name:  Quanzhi Li, Qiong Zhang, Luo Si

Publisher name:  ACL

DOI:  10.18653/v1/P19-1113

Volume Information:  

Paper Link:   https://aclanthology.org/P19-1113/