Assessing the Cross-Market Generalization Capability of the CLAUDETTE System

Open Access
Authors
  • A. Jablonowska
  • F. Lagioia
  • M. Lippi
  • H.-W. Micklitz
Publication date 2021
Host editors
  • E. Schweighofer
Book title Legal Knowledge and Information Systems
Book subtitle JURIX 2021: The 34th Annual Conference, Vilnius, Lithuania, 8-10 December 2021
ISBN
  • 9781643682525
ISBN (electronic)
  • 9781643682532
Series Frontiers in Artificial Intelligence
Event 34th International Conference on Legal Knowledge and Information Systems, JURIX 2021
Pages (from-to) 62-67
Publisher Amsterdam: IOS Press
Organisations
  • Faculty of Law (FdR) - Amsterdam Center for European Law and Governance (ACELG)
Abstract We present a study aimed at testing the CLAUDETTE system’s ability to generalise the concept of unfairness in consumer contracts across diverse market sectors. The data set includes 142 terms of services grouped in five sub-sets: travel and accommodation, games and entertainment, finance and payments, health and well-being, and the more general others. Preliminary results show that the classifier has satisfying performance on all the sectors.
Document type Conference contribution
Language English
Published at https://doi.org/10.3233/FAIA210318
Downloads
FAIA-346-FAIA210318 (Final published version)
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