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2019

Fake News Detection as Natural Language Inference

Yang, Kai-Chou, Niven, Timothy, Kao, Hung-Yu

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This report describes the entry by the Intelligent Knowledge Management (IKM) Lab in the WSDM 2019 Fake News Classification challenge.

We treat the task as natural language inference (NLI).
We individually train a number of the strongest NLI models as well as BERT.
We ensemble these results and retrain with noisy labels in two stages.

Fake News Detection as Natural Language Inference · Around

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A large annotated corpus for learning natural language inference
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Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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