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  1. Pubblicazioni

Automated detection of unfair clauses in online consumer contracts

Contributo in Atti di convegno
Data di Pubblicazione:
2017
Citazione:
Automated detection of unfair clauses in online consumer contracts / Lippi, M., Palka, P., Contissa, G., Lagioia, F., Micklitz, H.-W., Panagis, Y., Sartor, G., Torroni, P.. - 302:(2017), pp. 145-154. (30th International Conference on Legal Knowledge and Information Systems, JURIX 2017 Kirchberg Campus of the University of Luxembourg, lux 2017) [10.3233/978-1-61499-838-9-145].
Abstract:
Consumer contracts too often present clauses that are potentially unfair to the subscriber. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses in online contracts. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Consumer contract; Machine learning; Unfair terms detection
Elenco autori:
Lippi, M.; Palka, P.; Contissa, G.; Lagioia, F.; Micklitz, H. -W.; Panagis, Y.; Sartor, G.; Torroni, P.
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1215127
Link al Full Text:
https://iris.unimore.it//retrieve/handle/11380/1215127/288467/JURIX2017.pdf
Titolo del libro:
Frontiers in Artificial Intelligence and Applications
Pubblicato in:
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Journal
FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS
Series
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