基于深度学习的法律文本处理研究进展

Research advances of deep learning-based legal text processing

随着中国司法信息化建设的不断推进,以各类案件卷宗、裁判文书、法律法规以及司法解释为代表的法律文本数据量迅速增长,基于深度学习的法律文本处理研究已成为法律与人工智能这一交叉领域的热点问题。为了及时跟进该领域的最新研究成果,本文分别从法律文本表示、法律文本分类、法律文本挖掘与应用等3个方面梳理了该领域中的主要研究方向和国内外学者的代表性成果,并对该领域未来的发展趋势进行了分析和展望。

The persistent construction of China's judicial informatization has led to the rapid increase of legal text data represented by various case files,judgment documents,laws and regulations,and judicial interpretations.The research of legal text processing based on deep learning has become a hot issue in the intersection of law and artificial intelligence.In order to follow up the latest research results in this field,this paper compares the main research directions and representative achievements of domestic and foreign scholars from three aspects,including legal text representation,legal text classification,legal text mining and applications,and analyzes and outlooks the future development trend of this field.