2020
Evaluating Unsupervised Representation Learning for Detecting Stances of Fake News
COLING 2020main
Our goal is to evaluate the usefulness of unsupervised representation learning techniques for detecting stances of Fake News. Therefore we examine several pre-trained language models with respect to their performance on two Fake News related data sets, both consisting of instances with a headline, a…