This work aims to identify unfair Terms of Service clauses using a two-stage knowledge distillation DL algorithm on devices with minimal resources using state-of-the-art architectures like BERT.
Dataset used for this work: CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service
@article{lippi2019claudette,
title={CLAUDETTE: an automated detector of potentially unfair clauses in online terms of service},
author={Lippi, Marco and Pa{\l}ka, Przemys{\l}aw and Contissa, Giuseppe and Lagioia, Francesca and Micklitz, Hans-Wolfgang and Sartor, Giovanni and Torroni, Paolo},
journal={Artificial Intelligence and Law},
volume={27},
pages={117--139},
year={2019},
publisher={Springer}
}