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license: mit
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license: mit
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datasets:
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- nlp-brin-id/unsup-fact
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language:
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- id
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Contrastive embedding trained unsupervisedly on short claim (title) of online public report for fake news detection.
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Model is trained based on contrastive loss and 'Fake news classification' as validation task.
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MLP is used as external classifier for validation task given the resulting embedding from trained model.
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Code implementation will be shared publicly soon.
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