license: mit | |
datasets: | |
- nlp-brin-id/unsup-fact | |
language: | |
- id | |
Contrastive embedding trained unsupervisedly to implicitly contradict factual evidences and claims . The dataset is based on online public report for fake news detection. | |
Model is trained based on contrastive loss and 'Fake news classification' as validation task. | |
MLP is used as external classifier for validation task given the resulting embedding from trained model. | |
Code implementation will be shared publicly soon. |