A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
Table 11: Stance detection confusion matrix (AtheneMLP)
['model ∖ gold', 'support', 'refute', 'no stance']
An analysis of the misclassified refute ETSs has shown that the contradiction is often expressed in difficult terms, which the model could not detect, e.g. “the myth originated”, “no effect can be observed”, “The short answer is no”.