Detection of Potentially Non-compliant Clauses in Online ToS in Portuguese. Tocchini, M., Rocha, I. M., family=Barros , g. M., family=Silva , g. O., Garcia, A. F., Zular, F., Maranhão, J., & Sichman, J. In Santos, M. F., Machado, J., Novais, P., Cortez, P., & Moreira, P. M., editors, Progress in Artificial Intelligence, pages 284–295. Springer Nature Switzerland.
doi  abstract   bibtex   
There is a discrepancy in the contractual relationship of online terms of use (ToS), as supplier companies impose a series of clauses on their consumers. Some studies have already proven that it is possible to detect potentially non-compliant clauses with European consumer legislation. However, the work carried out to date has largely focused on European legislation and English-language documents. In this work, we present an annotation guideline that maps Brazilian consumer legislation into 10 categories and 3 levels of potential compliance. We also introduced a corpus in Portuguese, with clauses annotated from the guideline. We analyzed the performance of a classifier trained with our corpus and obtained results similar to initial studies in English for the tasks of detecting potentially non-compliant clauses and categorizing potential non-compliant clauses. The results of our work highlight a promising path to developing methods capable of analyzing ToS in Portuguese, and which can be replicated to other fields of Consumer Law.
@inproceedings{Tocchini2025a,
  title = {Detection of~{{Potentially Non-compliant Clauses}} in~{{Online ToS}} in~{{Portuguese}}},
  booktitle = {Progress in {{Artificial Intelligence}}},
  author = {Tocchini, Matheus and Rocha, Igor M. and family=Barros, given=Raphael M., prefix=de, useprefix=true and family=Silva, given=Jéssica O., prefix=e, useprefix=true and Garcia, Ananda F. and Zular, Felipe and Maranhão, Juliano and Sichman, Jaime},
  editor = {Santos, Manuel Filipe and Machado, José and Novais, Paulo and Cortez, Paulo and Moreira, Pedro Miguel},
  date = {2025},
  pages = {284--295},
  publisher = {Springer Nature Switzerland},
  location = {Cham},
  doi = {10.1007/978-3-031-73497-7_23},
  abstract = {There is a discrepancy in the contractual relationship of online terms of use (ToS), as supplier companies impose a series of clauses on their consumers. Some studies have already proven that it is possible to detect potentially non-compliant clauses with European consumer legislation. However, the work carried out to date has largely focused on European legislation and English-language documents. In this work, we present an annotation guideline that maps Brazilian consumer legislation into 10 categories and 3 levels of potential compliance. We also introduced a corpus in Portuguese, with clauses annotated from the guideline. We analyzed the performance of a classifier trained with our corpus and obtained results similar to initial studies in English for the tasks of detecting potentially non-compliant clauses and categorizing potential non-compliant clauses. The results of our work highlight a promising path to developing methods capable of analyzing ToS in Portuguese, and which can be replicated to other fields of Consumer Law.},
  isbn = {978-3-031-73497-7}
}

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