- Machine learning versus knowledge based classification of legal texts
- Frontiers in Artificial Intelligence and Applications
- Pages (from-to)
- Document type
- Faculty of Law (FdR)
- Leibniz Center for Law (FdR)
This paper presents results of an experiment in which we used machine learning (ML) techniques to classify sentences in Dutch legislation. These results are compared to the results of a pattern-based classifier. Overall, the ML classifier performs as accurate (>90%) as the pattern based one, but seems to generalize worse to new laws. Given these results, the pattern based approach is to be preferred since its reasons for classification are clear and can be used for further modelling of the content of the sentences.
- go to publisher's site
- Proceedings title: Legal knowledge and information systems: JURIX 2010, the twenty-third annual conference
Publisher: IOS Press
Place of publication: Amsterdam
Editors: R.G.F. Winkels
If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library, or send a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.