Directly fine-tuning the pre-trained BERT on TABSA does not achieve performance growth.
when we separate the target and the aspect to form an auxiliary sentence and transform the TABSA into a sentence pair classification task, the scenario is similar to QA and NLI, and then the advantage of the pre-trained BERT model can be fully utilized.