Stance Detection On Rumoureval
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| Kochkina et al. 2017 | 0.784 | Turing at SemEval-2017 Task 8: Sequential Approach to Rumour Stance Classification with Branch-LSTM | |
| Bahuleyan and Vechtomova 2017 | 0.780 | UWaterloo at SemEval-2017 Task 8: Detecting Stance towards Rumours with Topic Independent Features | - |
| TESTED | - | Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection |
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