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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.

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Terms of Service Classification

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}
}

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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.

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