To address the problem of prediction few-shot and confusing charges, we introduce discriminative legal attributes into consideration and propose a novel attribute-based multi-task learning model for charge prediction.
our model learns attribute-free and attribute-aware fact representation jointly by utilizing attribute-based attention mechanism.