RumourEval
Related Papers
IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
AbstractThis paper describes our system participation in the SemEval-2017 Task 8 ‘RumourEval: Determining rumour veracity and support for rumours’. The objective of this task was to predict the stance and …...
Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM
AbstractThis paper describes team Turing’s submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A). Subtask A addresses the challenge of rumour …...
UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features
AbstractThis paper describes our system for subtask-A: SDQC for RumourEval, task-8 of SemEval 2017. Identifying rumours, especially for breaking news events as they unfold, is a challenging task due to …...
SemEval-2019 Task 7: RumourEval, Determining Rumour Veracity and Support for Rumours
AbstractSince the first RumourEval shared task in 2017, interest in automated claim validation has greatly increased, as the danger of “fake news” has become a mainstream concern. However automated support …...
SINAI-DL at SemEval-2019 Task 7: Data Augmentation and Temporal Expressions
AbstractThis paper describes the participation of the SINAI-DL team at RumourEval (Task 7 in SemEval 2019, subtask A: SDQC). SDQC addresses the challenge of rumour stance classification as an indirect …...
DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification
AbstractRecently, many methods discover effective evidence from reliable sources by appropriate neural networks for explainable claim verification, which has been widely recognized. However, in these methods, the discovery process of …...