论文标题
HIER-SPCNET：一个基于法律法规的法规异构网络，用于计算法律案例文件相似性
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
论文作者
论文摘要
在法律IR中，计算两个法律案件文件之间的相似性是一项重要且具有挑战性的任务，在文献中已经提出了基于文本和网络的措施。所有基于网络的相似性方法仅在案例文档（PCNET）中考虑了先例引用网络。但是，这种方法错过了法律知识的重要来源 - 适用于给定法律管辖区（例如国家）的法律法规的层次结构。我们建议通过法律法规的层次结构来扩大PCNET，以形成异质网络HIER-SPCNET，在案例文档和法规之间具有引文链接，以及法规之间的引文和层次结构链接。与使用PCNET相比，一组印度最高法院案件的实验表明，我们提出的异质网络可以更好地更好地文档相似性估计。我们还表明，提出的基于网络的方法可以补充基于文本的措施，以更好地估计法律文档的相似性。
Computing similarity between two legal case documents is an important and challenging task in Legal IR, for which text-based and network-based measures have been proposed in literature. All prior network-based similarity methods considered a precedent citation network among case documents only (PCNet). However, this approach misses an important source of legal knowledge -- the hierarchy of legal statutes that are applicable in a given legal jurisdiction (e.g., country). We propose to augment the PCNet with the hierarchy of legal statutes, to form a heterogeneous network Hier-SPCNet, having citation links between case documents and statutes, as well as citation and hierarchy links among the statutes. Experiments over a set of Indian Supreme Court case documents show that our proposed heterogeneous network enables significantly better document similarity estimation, as compared to existing approaches using PCNet. We also show that the proposed network-based method can complement text-based measures for better estimation of legal document similarity.
