Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts
<|reference_start|>Annotation and Classification of Relevant Clauses in Terms-and-Conditions Contracts: In this paper, we propose a new annotation scheme to classify different types of clauses in Terms-and-Conditions contracts with the ultimate goal of supporting legal experts to quickly identify and assess problematic issues in this type of legal documents. To this end, we built a small corpus of Terms-and-Conditions contracts and finalized an annotation scheme of 14 categories, eventually reaching an inter-annotator agreement of 0.92. Then, for 11 of them, we experimented with binary classification tasks using few-shot prompting with a multilingual T5 and two fine-tuned versions of two BERT-based LLMs for Italian. Our experiments showed the feasibility of automatic classification of our categories by reaching accuracies ranging from .79 to .95 on validation tasks.<|reference_end|>
@article{bizzaro2024annotation,
    title={Annotation and Classification of Relevant Clauses in
  Terms-and-Conditions Contracts},
    author={Pietro Giovanni Bizzaro, Elena Della Valentina, Maurizio Napolitano,
  Nadia Mana and Massimo Zancanaro},
    journal={arXiv preprint arXiv:2402.14457},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.14457},
    primaryClass={cs.CL}
}