Legal Judgment Prediction Based on Multiclass Information Fusion

Kongfan Zhu, Rundong Guo, Weifeng Hu, Zeqiang Li, Yujun Li, Shirui Pan
2020 Complexity  
Legal judgment prediction (LJP), as an effective and critical application in legal assistant systems, aims to determine the judgment results according to the information based on the fact determination. In real-world scenarios, to deal with the criminal cases, judges not only take advantage of the fact description, but also consider the external information, such as the basic information of defendant and the court view. However, most existing works take the fact description as the sole input
more » ... LJP and ignore the external information. We propose a Transformer-Hierarchical-Attention-Multi-Extra (THME) Network to make full use of the information based on the fact determination. We conduct experiments on a real-world large-scale dataset of criminal cases in the civil law system. Experimental results show that our method outperforms state-of-the-art LJP methods on all judgment prediction tasks.
doi:10.1155/2020/3089189 fatcat:b5wl5s3t4ff2pc3rbtawxb2pw4