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Automated analysis of greek legislative texts for version control: limitations, caveats and challenges

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Published:01 October 2015Publication History

ABSTRACT

Greek legislation is produced in the form of texts often containing amendments and references to precedent laws. This structure imposes an increased cognitive complexity and makes it very difficult for citizens to reconstruct the current version of a law. In this paper we present our ongoing work on the automated analysis of Greek legislative texts, aiming to track the evolution of laws through version control systems. We put emphasis on the challenges, the limitations and the encountered problems of our attempt so far, which are due to the unfriendly - from a technological perspective - legislative procedures that are followed.

References

  1. Millard, J. 2013. ICT-enabled public sector innovation: trends and prospects. In Proceedings of the 7th International Conference on Theory and Practice of Electronic Governance (ICEGOV '13), ACM, New York, 77--86. DOI= http://dx.doi.org/10.1145/2591888.2591901 Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Ogawa, Y., Inagaki, S., and Toyama, K. 2008. Automatic Consolidation of Japanese Statutes Based on Formalization of Amendment Sentences. New Frontiers in Artificial Intelligence. Springer, Heidelberg, 349--362. DOI= http://doi.org/10.1007/978-3-540-78197-4_34 Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Automated analysis of greek legislative texts for version control: limitations, caveats and challenges

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        cover image ACM Other conferences
        PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics
        October 2015
        438 pages
        ISBN:9781450335515
        DOI:10.1145/2801948

        Copyright © 2015 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 1 October 2015

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        Acceptance Rates

        PCI '15 Paper Acceptance Rate64of148submissions,43%Overall Acceptance Rate190of390submissions,49%

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