Reference : An Automated Framework for Detection and Resolution of Cross References in Legal Texts

	Document type :	Scientific journals : Article
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/22286

Title :	An Automated Framework for Detection and Resolution of Cross References in Legal Texts
Language :	English
Author, co-author :	Sannier, Nicolas [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Adedjouma, Morayo [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
	Sabetzadeh, Mehrdad [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Briand, Lionel [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)]
Publication date :	2017
Journal title :	Requirements Engineering
Publisher :	Springer
Volume :	22
Issue/season :	2
Pages :	215-237
Peer reviewed :	Yes (verified by ORBilu)
Audience :	International
ISSN :	0947-3602
e-ISSN :	1432-010X
Keywords :	[en] Legal Compliance ; Natural Language Processing ; Cross References ; Conceptual Modeling
Abstract :	[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.
Research centres :	Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab)
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/22286
FnR project :	FnR ; FNR3949772 > Lionel Briand > VVLAB > Validation and Verification Laboratory > 01/01/2012 > 31/12/2016 > 2010

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	Fulltext file(s): File Commentary Version Size Access Open access SASB_REJ_authors_preprint.pdf Author preprint 1.27 MB View/Open

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