Framing fake news classification as natural language inference and ensembling NLI models with BERT, plus transitivity rules, achieves 88.063% test accuracy in the WSDM 2019 challenge.
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Fake News Detection as Natural Language Inference
Framing fake news classification as natural language inference and ensembling NLI models with BERT, plus transitivity rules, achieves 88.063% test accuracy in the WSDM 2019 challenge.