• DocumentCode
    257565
  • Title

    Automated detection and resolution of legal cross references: Approach and a study of Luxembourg´s legislation

  • Author

    Adedjouma, Morayo ; Sabetzadeh, Mehrdad ; Briand, Lionel C.

  • Author_Institution
    SnT Centre for Security, Univ. of Luxembourg, Luxembourg, Luxembourg
  • fYear
    2014
  • fDate
    25-29 Aug. 2014
  • Firstpage
    63
  • Lastpage
    72
  • 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.
  • Keywords
    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; Art; Automation; Law; Natural languages; Navigation; Sections; Cross References; Legal Compliance; Legal Texts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Requirements Engineering Conference (RE), 2014 IEEE 22nd International
  • Conference_Location
    Karlskrona
  • Print_ISBN
    978-1-4799-3031-9
  • Type

    conf

  • DOI
    10.1109/RE.2014.6912248
  • Filename
    6912248