Extraction of Legal Definitions and Their Explanations with Accessible Citations

  • Makoto Nakamura
  • Yasuhiro Ogawa
  • Katsuhiko Toyama
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8929)

Abstract

The aim of this paper is to produce a Japanese legal terminology consisting of legal terms and their explanations that includes accessible citations. Although we have succeeded in finding over 14,000 terms with high precision, 23.1 percent of the correct explanations included citations that were inaccessible due to context-dependent format. We propose a method for revising explanatory sentences that takes into account XML-tag annotation for context-independent format for all citations. The effectiveness of this method is confirmed by our experimental results.

Keywords

Japanese statutes Definitions XML Citations 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Toyama, K., Saito, D., Sekine, Y., Ogawa, Y., Kakuta, T., Kimura, T., Matsuura, Y.: Design and Development of Japanese Law Translation Database System. In: Proceedings of Law via the Internet, 12 p. (2011)Google Scholar
  2. 2.
    Sekine, Y., Toyama, K., Ogawa, Y., Matsuura, Y.: The Development of Translation Memory Database System for Law Translation. In: Proceedings of 2012 Law via the Internet Conference, 21 p. (2012)Google Scholar
  3. 3.
    Nakamura, M., Ogawa, Y., Toyama, K.: Extraction of Legal Definitions from a Japanese Statutory Corpus – Toward Construction of a Legal Term Ontology. In: Proceedings of 2013 Law via the Internet Conference, 11 p. (2013)Google Scholar
  4. 4.
    Palmirani, M., Brighi, R., Massini, M.: Automated Extraction of Normative References in Legal Texts. In: Proceedings of International Conference on Artificial Intelligence and Law (ICAIL), pp. 105–106 (2003)Google Scholar
  5. 5.
    Bolioli, A., Dini, L., Mercatali, P., Romano, F.: For the Automated Mark-Up of Italian Legislative Texts in XML. In: Legal Knowledge and Information Systems - JURIX 2002: The Fifteenth Annual Conference, pp. 21–30 (2002)Google Scholar
  6. 6.
    de Maat, E., Winkels, R., van Engers, T.: Automated Detection of Reference Structures in Law. In: Legal Knowledge and Information Systems - JURIX 2006: The Nineteenth Annual Conference, pp. 41–50 (2006)Google Scholar
  7. 7.
    Martínez-González, M., de la Fuente, P., Vicente, D.-J.: Reference extraction and resolution for legal texts. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds.) PReMI 2005. LNCS, vol. 3776, pp. 218–221. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  8. 8.
    Lame, G.: Using NLP techniques to identify legal ontology components: Concepts and relations. In: Benjamins, V.R., Casanovas, P., Breuker, J., Gangemi, A. (eds.) Law and the Semantic Web. LNCS (LNAI), vol. 3369, pp. 169–184. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Höfler, S., Bünzli, A., Sugisaki, K.: Detecting Legal Definitions for Automated Style Checking in Draft Laws. Technical Report CL-2011.01, University of Zurich, Institute of Computational Linguistics (2011)Google Scholar
  10. 10.
    Winkels, R., Hoekstra, R.: Automatic Extraction of Legal Concepts and Definitions. In: Legal Knowledge and Information Systems - JURIX 2012: The Twenty-Fifth Annual Conference, pp. 157–166 (2012)Google Scholar
  11. 11.
    Le, T.T.N., Nguyen, M.L., Shimazu, A.: Unsupervised Keyword Extraction for Japanese Legal Documents. In: Legal Knowledge and Information Systems - JURIX 2013: The Twenty-Sixth Annual Conference on Legal Knowledge and Information Systems, pp. 97–106 (2013)Google Scholar
  12. 12.
    Nakamura, M., Kobayashi, R., Ogawa, Y., Toyama, K.: A Pattern-based Approach to Hyponymy Relation Acquisition for the Agricultural Thesaurus. In: Proceedings of International Symposium on Agricultural Ontology Service 2012 (AOS 2012), pp. 2–9 (2012)Google Scholar
  13. 13.
    Nakamura, M., Ogawa, Y., Toyama, K.: Extraction of Legal Terms and Their Explanations Defined in Parenthesis in Statutes. In: Proceedings of 19th Annual Meeting on Natural Language Processing (NLP 2013), pp. 670–673 (2013) (in Japanese)Google Scholar
  14. 14.
    Ogawa, Y., Inagaki, S., Toyama, K.: Automatic consolidation of japanese statutes based on formalization of amendment sentences. In: Satoh, K., Inokuchi, A., Nagao, K., Kawamura, T. (eds.) JSAI 2007. LNCS (LNAI), vol. 4914, pp. 363–376. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  15. 15.
    Tran, O.T., Ngo, B.X., Nguyen, M.L., Shimazu, A.: Automated Reference Resolution in Legal Texts. Artificial Intelligence and Law, 1–32 (2013)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Makoto Nakamura
    • 1
  • Yasuhiro Ogawa
    • 2
    • 3
  • Katsuhiko Toyama
    • 2
    • 3
  1. 1.Japan Legal Information Institute, Graduate School of LawNagoya UniversityNagoyaJapan
  2. 2.Information Technology CenterNagoya UniversityNagoyaJapan
  3. 3.Graduate School of Information ScienceNagoya UniversityNagoyaJapan

Personalised recommendations