MIT Open Access Articles Automatic Fact Checking Using Context and Discourse Information

We study the problem of automatic fact-checking, paying special attention to the impact of contextual and discourse information. We address two related tasks: ( i ) detecting check-worthy claims and ( ii ) fact-checking claims. We develop supervised systems based on neural networks, kernel-based support vector machines

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