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A relatedness analysis of government regulations using domain knowledge and structural organization

机译：利用领域知识和结构组织对政府法规的相关性分析

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摘要

The complexity and diversity of government regulations make understanding and retrieval of regulations a non-trivial task. One of the issues is the existence of multiple sources of regulations and interpretive guides with differences in format, terminology and context. This paper describes a comparative analysis scheme developed to help retrieval of related provisions from different regulatory documents. Specifically, the goal is to identify the most strongly related provisions between regulations. The relatedness analysis makes use of not only traditional term match but also a combination of feature matches, and not only content comparison but also structural analysis. Regulations are first compared based on conceptual information as well as domain knowledge through feature matching. Regulations also possess specific organizational structures, such as a tree hierarchy of provisions and heavy referencing between provisions. These structures represent useful information in locating related provisions, and are therefore exploited in the comparison of regulations for completeness. System performance is evaluated by comparing a similarity ranking produced by users with the machine-predicted ranking. Ranking produced by the relatedness analysis system shows a reduction in error compared to that of Latent Semantic Indexing. Various pairs of regulations are compared and the results are analyzed along with observations based on different feature usages. An example of an e-rulemaking scenario is shown to demonstrate capabilities and limitations of the prototype relatedness analysis system.
机译：政府法规的复杂性和多样性使对法规的理解和检索成为一项艰巨的任务。问题之一是存在格式，术语和上下文不同的多种法规和解释性指南。本文介绍了一种比较分析方案，旨在帮助从不同的法规文件中检索相关条款。具体而言，目标是确定法规之间最紧密相关的规定。相关性分析不仅利用传统的术语匹配，而且利用特征匹配的组合，不仅利用内容比较，而且利用结构分析。首先根据概念信息以及通过特征匹配的领域知识来比较法规。法规还具有特定的组织结构，例如条款的树状层次结构以及条款之间的大量引用。这些结构代表了查找相关条款时的有用信息，因此可在比较法规时使用，以确保完整性。通过将用户产生的相似性等级与机器预测的等级进行比较来评估系统性能。与潜在语义索引相比，相关性分析系统产生的排名显示出错误的减少。比较各种规则对，并根据不同的功能用法对结果和观察结果进行分析。展示了一个电子规则制作场景的示例，以演示原型相关性分析系统的功能和局限性。

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