Explaining potentially unfair clauses to the consumer with the claudette tool
Contributo in Atti di convegno
Data di Pubblicazione:
2020
Citazione:
Explaining potentially unfair clauses to the consumer with the claudette tool / Liepina, R.; Ruggeri, F.; Lagioia, F.; Lippi, M.; Drazewski, K.; Torroni, P.. - 2645:(2020), pp. 61-64. ( Natural Legal Language Processing Workshop 2020 USA 2020).
Abstract:
This paper presents the latest developments of the use of memory network models in detecting and explaining unfair terms in online consumer contracts. We extend the CLAUDETTE tool for the detection of potentially unfair clauses in online Terms of Service, by providing to the users the explanations of unfairness (legal rationales) for five different categories: Arbitration, unilateral change, content removal, unilateral termination, and limitation of liability.
Tipologia CRIS:
Relazione in Atti di Convegno
Keywords:
Memory networks; Nlp; Terms of service
Elenco autori:
Liepina, R.; Ruggeri, F.; Lagioia, F.; Lippi, M.; Drazewski, K.; Torroni, P.
Link alla scheda completa:
Link al Full Text:
Titolo del libro:
CEUR Workshop Proceedings
Pubblicato in: