A Corpus for Multilingual Analysis of Online Terms of Service

no code implementations • EMNLP (NLLP) 2021 • Kasper Drawzeski, Andrea Galassi, Agnieszka Jablonowska, Francesca Lagioia, Marco Lippi, Hans Wolfgang Micklitz, Giovanni Sartor, Giacomo Tagiuri, Paolo Torroni

We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service.

Sentence Unfairness Detection

Detecting Arguments in CJEU Decisions on Fiscal State Aid

1 code implementation • ArgMining (ACL) 2022 • Giulia Grundler, Piera Santin, Andrea Galassi, Federico Galli, Francesco Godano, Francesca Lagioia, Elena Palmieri, Federico Ruggeri, Giovanni Sartor, Paolo Torroni

The successful application of argument mining in the legal domain can dramatically impact many disciplines related to law.

Argument Mining

Memory networks for consumer protection:unfairness exposed

no code implementations • 24 Jul 2020 • Federico Ruggeri, Francesca Lagioia, Marco Lippi, Paolo Torroni

Recent work has demonstrated how data-driven AI methods can leverage consumer protection by supporting the automated analysis of legal documents.

CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service

1 code implementation • 3 May 2018 • Marco Lippi, Przemyslaw Palka, Giuseppe Contissa, Francesca Lagioia, Hans-Wolfgang Micklitz, Giovanni Sartor, Paolo Torroni

Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer.

BIG-bench Machine Learning Unfairness Detection