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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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  ---
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+
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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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+
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+ Code implementation will be shared publicly soon.