Relative Counterfactual Contrastive Learning for Mitigating Pretrained Stance Bias in Stance Detection
通过相对反事实对比学习缓解立场检测中的预训练偏差
Stance detection classifies stance relations (namely, Favor, Against, or Neither) between comments and targets. Pretrained language models (PLMs) are widely used to mine the stance relation to improve the performance of stance detection through pretrained knowledge. However, PLMs also embed ``bad'' pretrained knowledge concerning stance into the extracted stance relation semantics, resulting in pretrained stance bias. It is not trivial to measure pretrained stance bias due…