Translating simple legal text to formal representations

Shruti Gaur, Nguyen H. Vo, Kazuaki Kashihara, Chitta Baral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations


Various logical representations and frameworks have been proposed for reasoning with legal information. These approaches assume that the legal text has already been translated to the desired formal representation. However, the approaches for translating legal text into formal representations have mostly focused on inferring facts from text or translating it to a single representation. In this work, we use the NL2KR system to translate legal text into a wide variety of formal representations. This will enable the use of existing logical reasoning approaches on legal text (English), thus allowing reasoning with text.

Original languageEnglish (US)
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Revised Selected Papers
EditorsTsuyoshi Murata, Koji Mineshima, Daisuke Bekki
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783662481189
StatePublished - 2015
Event6th International Symposium on Artificial Intelligence, JSAI 2014 - Kanagawa, Japan
Duration: Oct 27 2014Oct 28 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th International Symposium on Artificial Intelligence, JSAI 2014


  • Natural language processing
  • Natural language translation
  • Natural language understanding

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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