Assessing the Cross-Market Generalization Capability of the CLAUDETTE System
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Citazione:
Assessing the Cross-Market Generalization Capability of the CLAUDETTE System / Jablonowska, A., Lagioia, F., Lippi, M., Micklitz, H.-W., Sartor, G., Tagiuri, G.. - 346:(2021), pp. 62-67. (34th International Conference on Legal Knowledge and Information Systems, JURIX 2021 ltu 8-10 dicembre 2021) [10.3233/FAIA210318].
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.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Cross-market analysis; Machine learning; Unfair clause detection
Elenco autori:
Jablonowska, A.; Lagioia, F.; Lippi, M.; Micklitz, H. -W.; Sartor, G.; Tagiuri, G.
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Link al Full Text:
Titolo del libro:
Legal Knowledge and Information Systems
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