Reference : An Automated Framework for Detection and Resolution of Cross References in Legal Texts
Scientific journals : Article
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/22286
An Automated Framework for Detection and Resolution of Cross References in Legal Texts
English
Sannier, Nicolas mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Adedjouma, Morayo mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
Sabetzadeh, Mehrdad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Briand, Lionel mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > > ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)]
2017
Requirements Engineering
Springer
22
2
215-237
Yes (verified by ORBilu)
International
0947-3602
1432-010X
[en] Legal Compliance ; Natural Language Processing ; Cross References ; Conceptual Modeling
[en] When identifying and elaborating compliance requirements, analysts need to follow the cross references in legal texts and consider the additional information in the cited provisions. Enabling easier navigation and handling of cross references requires automated support for the detection of the natural language expressions used in cross references, the interpretation of cross references in their context, and the linkage of cross references to the targeted provisions. In this article, we propose an approach and tool sup- port for automated detection and resolution of cross references. The approach leverages the structure of legal texts, formalized into a schema, and a set of natural language patterns for legal cross reference expressions. These patterns were developed based on an investigation of Luxembourg’s legislation, written in French. To build confidence about their applicability beyond the context where they were observed, these patterns were validated against the Personal Health Information Protection Act (PHIPA) by the Government of Ontario, Canada, written in both French and English. We report on an empirical evaluation where we assess the accuracy and scalability of our framework over several Luxembourgish legislative texts as well as PHIPA.
Researchers
http://hdl.handle.net/10993/22286
FnR ; FNR3949772 > Lionel Briand > VVLAB > Validation and Verification Laboratory > 01/01/2012 > 31/12/2016 > 2010

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