HD-LJP: A Hierarchical Dependency-based Legal Judgment Prediction Framework for Multi-task Learning

Yunong Zhang, Xiao Wei, Hang Yu

Abstract: Highlights•A hierarchical LJP framework for co-embedding four auxiliary prediction information.•Applying legal provision knowledge with hierarchical dependencies into LJP.•Employing relation distillation to model the label dependence among multiple subtasks.•Adopting case attention mechanism to simulate the task judicial logic of human judges.