As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
In this paper an automated solution for finding cases for analysing the impact of legal change is proposed and the results are analysed with the help of a legal expert. It focuses on the automatic classification of 15,000 judgments within civil law. We investigated to what extent several machine learning algorithms were able to classify cases ‘correctly’. This was done with accuracies around 0.85. However, the data were scarce and the initial labelling not perfect, so further research should focus on these aspects to improve the analysis of the impact of legal change.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.