MVE-FLK: A multi-task legal judgment prediction via multi-view encoder fusing legal keywords
作者:
Highlights:
• Taking full advantage of existing law articles is critical to the task of legal judgment prediction.
• A novel multi-task legal judgment prediction framework via multi-view encoder fusing legal (MVE-FLK) is proposed for legal judgment prediction (LJP).
• MVE-FLK is appropriate for the task of multi-class classification with multi-label learning.
• The experimental results verify the effectiveness of MVE-FLK for the task of LJP.
摘要
•Taking full advantage of existing law articles is critical to the task of legal judgment prediction.•A novel multi-task legal judgment prediction framework via multi-view encoder fusing legal (MVE-FLK) is proposed for legal judgment prediction (LJP).•MVE-FLK is appropriate for the task of multi-class classification with multi-label learning.•The experimental results verify the effectiveness of MVE-FLK for the task of LJP.
论文关键词:Legal judgment prediction,Multi-class classification,Multi-label learning,Multi-task learning,Word and sentence encoder
论文评审过程:Received 23 June 2021, Revised 6 December 2021, Accepted 11 December 2021, Available online 17 December 2021, Version of Record 10 January 2022.
论文官网地址:https://doi.org/10.1016/j.knosys.2021.107960