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dc.contributor.authorJABŁONOWSKA, Agnieszka
dc.contributor.authorLAGIOIA, Francesca
dc.contributor.authorLIPPI, Marco
dc.contributor.authorMICKLITZ, Hans-Wolfgang
dc.contributor.authorSARTOR, Giovanni
dc.contributor.authorTAGIURI, Giacomo
dc.identifier.citationErich SCHWEIGHOFER (ed.), Legal knowledge and information systems, Amsterdam : IOS Press, 2021, Frontiers in artificial intelligence and applications, pp. 62-67en
dc.description.abstractWe 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.sponsorshipFrancesca 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.publisherIOS Pressen
dc.titleAssessing the cross-market generalization capability of the CLAUDETTE systemen
dc.typeContribution to booken
dc.rights.licenseAttribution-NonCommercial 4.0 International*

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Except where otherwise noted, this item's license is described as Attribution-NonCommercial 4.0 International