Sequential Multi-task Learning with Task Dependency for Appeal Judgment Prediction. (arXiv:2204.07046v1 [cs.CL])

Legal Judgment Prediction (LJP) aims to automatically predict judgment
results, such as charges, relevant law articles, and the term of penalty. It
plays a vital role in legal assistant systems and has become a popular research
topic in recent years. This paper concerns a worthwhile but not well-studied
LJP task, Appeal judgment Prediction (AJP), which predicts the judgment of an
appellate court on an appeal case based on the textual description of case
facts and grounds of appeal. There are …

arxiv judgment learning multi-task learning prediction