Workshop: Computerized Content Analysis and the Law

研讨会：计算机化内容分析和法律

• 批准号: 0921650
• 负责人: Georg Vanberg
• 金额: $ 1.99万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-04-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0921650&HistoricalAwards=false
• 关键词: Workshop; Computerized; Content; Analysis; Law

At its core, the study of the law -- broadly conceived -- is concerned with texts: statutes, constitutions, judicial opinions, and briefs. These texts contain the rules, judgments, and arguments that make up and shape the law. Ironically, quantitative empirical scholarship on the law has largely ignored these documents, and with good reason. To date, few tools have been available that would allow systematic analysis of a large number of legal texts in a cost-effective manner. In the fields of computational linguistics and computer science, however, there have been important advances in automated content analysis. In these disciplines, tools have been developed that permit the analysis of patterns and interrelationships in a text. Unfortunately, political scientists -- and scholars of judicial politics in particular -- are largely unaware of these methodological tools. The central purpose of the proposed conference is to overcome this gap between the disciplines. The conference will bring together political scientists, legal scholars, computational linguists, and computer scientists to explore how modern automated content analysis tools might be used to analyze complex legal documents.

在其核心，法律的研究-广义上-与文本有关：法规，宪法，司法意见和摘要。这些文本包含了构成和塑造法律的规则、判决和论据。具有讽刺意味的是，关于法律的定量实证研究在很大程度上忽视了这些文献，而且有充分的理由。迄今为止，几乎没有什么工具能够以具有成本效益的方式对大量法律的文本进行系统分析。然而，在计算语言学和计算机科学领域，自动内容分析已经取得了重要进展。在这些学科中，已经开发出允许分析文本中的模式和相互关系的工具。不幸的是，政治科学家，特别是司法政治学的学者，基本上没有意识到这些方法论工具。拟议会议的中心目的是克服学科之间的这一差距。会议将汇集政治科学家、法律的学者、计算语言学家和计算机科学家，探讨如何使用现代自动内容分析工具来分析复杂的法律的文档。