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Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
arXiv - CS - Social and Information Networks Pub Date : 2020-07-07 , DOI: arxiv-2007.03225
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal, Saptarshi Ghosh

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.

中文翻译:

Hier-SPCNet:用于计算法律案件文件相似性的基于法律法规层次结构的异构网络

计算两个法律案例文件之间的相似性是法律 IR 中一项重要且具有挑战性的任务,为此文献中已经提出了基于文本和基于网络的措施。所有先前的基于网络的相似性方法都只考虑案例文档中的先例引用网络(PCNet)。然而,这种方法忽略了一个重要的法律知识来源——适用于给定法律管辖区(例如国家)的法律法规的等级。我们建议用法律法规的层次结构来增加 PCNet,形成一个异构网络 Hier-SPCNet,在案例文件和法规之间具有引用链接,以及法规之间的引用和层次链接。对一组印度最高法院案例文件的实验表明,与使用 PCNet 的现有方法相比,我们提出的异构网络能够显着更好地估计文档相似性。我们还表明,所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件的相似性。
更新日期:2020-07-08
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