Abstract
We present the first annotated corpus for multilingual analysis of potentially unfair clauses in online Terms of Service. The data set comprises a total of 100 contracts, obtained from 25 documents annotated in four different languages: English, German, Italian, and Polish. For each contract, potentially unfair clauses for the consumer are annotated, for nine different unfairness categories. We show how a simple yet efficient annotation projection technique based on sentence embeddings could be used to automatically transfer annotations across languages.
Cite
CITATION STYLE
Drazewski, K., Galassi, A., Jablonowska, A., Lagioia, F., Lippi, M., Micklitz, H. W., … Torroni, P. (2021). A Corpus for Multilingual Analysis of Online Terms of Service. In Natural Legal Language Processing, NLLP 2021 - Proceedings of the 2021 Workshop (pp. 1–8). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2021.nllp-1.1
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
