Distilling the Evidence to Augment Fact Verification Models

WS 2020 Beatrice PortelliJason ZhaoTal SchusterGiuseppe SerraEnrico Santus

The alarming spread of fake news in social media, together with the impossibility of scaling manual fact verification, motivated the development of natural language processing techniques to automatically verify the veracity of claims. Most approaches perform a claim-evidence classification without providing any insights about why the claim is trustworthy or not... (read more)

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