Paper Info
Title
Automated detection and resolution of legal cross references: Approach and a study of Luxembourg's legislation
Abstract
When elaborating compliance requirements, analysts need to follow the cross references in the underlying legal texts and consider the additional information in the cited provisions. To enable easier navigation and handling of cross references, automation is necessary for recognizing the natural language patterns used in cross reference expressions (cross reference detection), and for interpreting these expressions and linking them to the target provisions (cross reference resolution). In this paper, we propose a solution for automated detection and resolution of legal cross references. We ground our work on Luxembourg's legislative texts, both for studying the natural language patterns in cross reference expressions and for evaluating the accuracy and scalability of our solution.
Year
DOI
Venue
2014
10.1109/RE.2014.6912248
Requirements Engineering Conference
Keywords
Field
DocType
natural language processing,text analysis,Luxembourg legislation,Luxembourg legislative texts,automated detection,cross reference detection,cross reference expressions,cross reference resolution,legal cross references,natural language patterns,navigation,Cross References,Legal Compliance,Legal Texts
Legislature,Data science,Legal compliance,Expression (mathematics),Computer science,Automation,Natural language,Legislation,Cross-reference,Multimedia,Management science,Scalability
Conference
ISSN
Citations 
PageRank 
2332-6441
8
0.70
References 
Authors
13
3
Name
Order
Citations
PageRank
Morayo Adedjouma1326.16
Mehrdad Sabetzadeh298861.84
Lionel C. Briand38795481.98