In auxiliary tasks, since the same reviewer can select the same label multiple times, the personalized word embeddings trained through the multitask learning may implicitly include the selection bias of the output labels depending on the reviewers.
to exclude those irrelevant biases from the personalized embeddings, we introduce personalized bias terms to feed-forward layers of each task.