Important bug report comments can help developers efficiently fix bugs. This paper proposes a bug report comment ranking model called BRCR based on deep learning models. This paper also proposes a pseudo-labeling approach to address the few-shot problem. In the experiments, bug reports of three GitHub software projects are used to evaluate the proposed BRCR ranking model. The experimental results show that BRCR with LSTM and pseudo-labeled data can effectively outperform other ranking models.