Paper on Classifying Legal Norms with Active Machine Learning has been accepted at Jurix 2017
Paper on Classifying Legal Norms with Active Machine Learning has been accepted at Jurix 2017
Oct 19, 2017
The team of Florian Matthes, consisting of Bernhard Waltl, Elena Scepankova, Ingo Glaser, and Georg Bonczek, has published their recent results on Active Machine Learning for Classifying Legal Norms at the 30th international conference on Legal Knowledge and Information Systems (JURIX). The paper is going to be presented at the conference from 13-15 December 2017, Luxembourg.
More details can be found here.
No tags assigned