20 citations · 35 across the 3 of their papers we have counts for
5 papers
Unified Dual-view Cognitive Model for Interpretable Claim Verification
Lianwei Wu, Yuan Rao, Yuqian Lan +2
Recent studies constructing direct interactions between the claim and each single user response (a comment or a relevant article) to capture evidence have shown remarkable success…
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
Lianwei Wu, Yuan Rao, Yongqiang Zhao +2
Recently, many methods discover effective evidence from reliable sources by appropriate neural networks for explainable claim verification, which has been widely recognized. Howeve…
Adaptive Interaction Fusion Networks for Fake News Detection
Lianwei Wu, Yuan Rao
The majority of existing methods for fake news detection universally focus on learning and fusing various features for detection. However, the learning of various features is indep…
Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation
Lianwei Wu, Yuan Rao, Ambreen Nazir +1
A series of deep learning approaches extract a large number of credibility features to detect fake news on the Internet. However, these extracted features still suffer from many ir…
Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection
Lianwei Wu, Yuan Rao, Haolin Jin +2
Recently, neural networks based on multi-task learning have achieved promising performance on fake news detection, which focus on learning shared features among tasks as complement…