dc.contributor.author | JABŁONOWSKA, Agnieszka | |
dc.contributor.author | LAGIOIA, Francesca | |
dc.contributor.author | LIPPI, Marco | |
dc.contributor.author | MICKLITZ, Hans-Wolfgang | |
dc.contributor.author | SARTOR, Giovanni | |
dc.contributor.author | TAGIURI, Giacomo | |
dc.date.accessioned | 2022-08-24T12:46:04Z | |
dc.date.available | 2022-08-24T12:46:04Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Erich SCHWEIGHOFER (ed.), Legal knowledge and information systems, Amsterdam : IOS Press, 2021, Frontiers in artificial intelligence and applications, pp. 62-67 | en |
dc.identifier.isbn | 9781643682525 | |
dc.identifier.isbn | 9781643682532 | |
dc.identifier.uri | https://hdl.handle.net/1814/74835 | |
dc.description.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. | en |
dc.description.sponsorship | Francesca Lagioia and Giovanni Sartor have been supported by the H2020 ERC Project “CompuLaw” (G.A. 833647). Marco Lippi has been supported by the SCUDO project, within the POR-FESR 2014-2020 programme of Regione Toscana. Giacomo Tagiuri has been supported by the National Science Centre in Poland (G.A. UMO- 2019/35/B/HS5/04444). | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | en | en |
dc.publisher | IOS Press | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
dc.title | Assessing the cross-market generalization capability of the CLAUDETTE system | en |
dc.type | Contribution to book | en |
dc.identifier.doi | 10.3233/FAIA210318 | |
dc.rights.license | Attribution-NonCommercial 4.0 International | * |