Treatment of Legal Sentences Including Itemized and Referential Expressions – Towards Translation into Logical Forms

  • Yusuke Kimura
  • Makoto Nakamura
  • Akira Shimazu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5447)


This paper proposes a framework for analyzing legal sentences including itemized or referential expressions. Thus far, we have developed a system for translating legal documents into logical formulae. Although our system basically converts words and phrases in a target sentence into predicates in a logical formula, it generates some useless predicates for itemized and referential expressions. We propose a front end system which substitutes corresponding referent phrases for these expressions. Thus, the proposed system generates a meaningful text with high readability, which can be input into our translation system. We examine our system with actual data of legal documents. As a result, the system was 73.1% accurate in terms of removing itemized expressions in a closed test, and 51.4% accurate in an open test.


Noun Phrase Logical Predicate Logical Formula Target Sentence Legal Document 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yusuke Kimura
    • 1
  • Makoto Nakamura
    • 1
  • Akira Shimazu
    • 1
  1. 1.School of Information ScienceJapan Advanced Institute of Science and TechnologyNomiJapan

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