Punishment provision extraction from Indonesian law texts with knowledge acquisition rules

Budi Hartadi, Indra Budi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

It can be difficult for ordinary people to understand reading the Indonesian Law (Undang-Undang) documents since they are usually extensive and specific language style usage which contains many law terms, especially in finding the punishment provision part. To address this problem, we propose a system to extract punishment provision information from Indonesian Law document. It uses Ripple Down Rule Learner (Ridor) to find articles, verses, or points which have punishment consequences. It may also obtain the punishment provision information and present them in structured format. Experiment shows that the proposed system can reach 93.9% Fl-Score.

Original languageEnglish
Title of host publication2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages204-209
Number of pages6
ISBN (Electronic)9781538631720
DOIs
Publication statusPublished - 4 May 2018
Event9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017 - Jakarta, Indonesia
Duration: 28 Oct 201729 Oct 2017

Publication series

Name2017 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
Volume2018-January

Conference

Conference9th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2017
CountryIndonesia
CityJakarta
Period28/10/1729/10/17

Keywords

  • information extraction
  • law documents
  • punishment provision
  • Ridor
  • Ripple Down Rule Learner

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