Legal text interpretation: Identifying Hohfeldian relations from text

Wim Peters, Adam Wyner

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

7 Citations (Scopus)

Abstract

The paper investigates the extent of the support semi-automatic analysis can provide for the specific task of assigning Hohfeldian relations of Duty, using the General Architecture for Text Engineering tool for the automated extraction of Duty instances and the bearers of associated roles. The outcome of the analysis supports scholars in identifying Hohfeldian structures in legal text when performing close reading of the texts. A cyclic workflow involving automated annotation and expert feedback will incrementally increase the quality and coverage of the automatic extraction process, and increasingly reduce the amount of manual work required of the scholar.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016
PublisherEuropean Language Resources Association (ELRA)
Pages379-384
Number of pages6
ISBN (Electronic)9782951740891
Publication statusPublished - 2016
Event10th International Conference on Language Resources and Evaluation, LREC 2016 - Portoroz, Slovenia
Duration: 23 May 201628 May 2016

Conference

Conference10th International Conference on Language Resources and Evaluation, LREC 2016
CountrySlovenia
CityPortoroz
Period23/05/1628/05/16

Keywords

  • Hohfeld
  • Information extraction
  • Legal relations
  • Text analysis

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  • Cite this

    Peters, W., & Wyner, A. (2016). Legal text interpretation: Identifying Hohfeldian relations from text. In Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016 (pp. 379-384). European Language Resources Association (ELRA). http://www.lrec-conf.org/proceedings/lrec2016/index.html