Data mining mining for smart legal systems

被引：6

作者：

Sharafat, Shahmin ^{[1
]}

Nasar, Zara ^{[1
]}

Jaffry, Syed Waqar ^{[1
]}

机构：

[1] Univ Punjab, Punjab Univ Coll Informat Technol, Natl Ctr Artificial Intelligence, Artificial Intelligence & Multidisciplinary Res L, Lahore, Pakistan

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2019年 / 78卷

关键词：

Information extraction; Named Entity Recognition; Legal data; Text mining; Civil law proceeding;

D O I：

10.1016/j.compeleceng.2019.07.017

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Smart legal systems carry immense potential to provide legal community and public with valuable insights using legal data. These systems can consequently help in analyzing and mitigating various social issues. In Pakistan, since last couple of years, courts have been reporting judgments online for public consumption. This public data, once processed, can be utilized for betterment of society and policy making in Pakistan. This study takes the first step to realize smart legal system by extracting various entities such as dates, case numbers, reference cases, person names, etc. from legal judgments. To automatically extract these entities, the primary requirement is to construct dataset using legal judgments. Hence, firstly annotation guidelines are prepared followed by preparation of annotated dataset for extraction of various legal entities. Experiments conducted using variety of datasets, multiple algorithms and annotation schemes, resulted into maximum F1-score of 91.51% using Conditional Random Fields. (C) 2019 Elsevier Ltd. All rights reserved.

引用

页码：328 / 342

页数：15

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