A corpus for multilingual analysis of online terms of service

DRAZEWSKI, Kasper; GALASSI, Andrea; JABŁONOWSKA, Agnieszka; LAGIOIA, Francesca; LIPPI, Marco; MICKLITZ, Hans-Wolfgang; SARTOR, Giovanni; TAGIURI, Giacomo; TORRONI, Paolo

doi:10.18653/v1/2021.nllp-1.1

2021

Contribution to book

DRAZEWSKI, Kasper EUI affiliated

; GALASSI, Andrea; JABŁONOWSKA, Agnieszka EUI affiliated

; LAGIOIA, Francesca EUI affiliated

; LIPPI, Marco EUI affiliated

; MICKLITZ, Hans-Wolfgang EUI affiliated

; SARTOR, Giovanni EUI affiliated

; TAGIURI, Giacomo EUI affiliated

; TORRONI, Paolo EUI affiliated

Proceedings of the Natural Legal Language Processing Workshop 2021 [conference proceedings], Stroudsburg : Association for Computational Linguistics, 2021, pp. 1-8

Cite

DRAZEWSKI, Kasper, GALASSI, Andrea, JABŁONOWSKA, Agnieszka, LAGIOIA, Francesca, LIPPI, Marco, MICKLITZ, Hans-Wolfgang, SARTOR, Giovanni, TAGIURI, Giacomo, TORRONI, Paolo, A corpus for multilingual analysis of online terms of service, in Proceedings of the Natural Legal Language Processing Workshop 2021 [conference proceedings], Stroudsburg : Association for Computational Linguistics, 2021, pp. 1-8 - https://hdl.handle.net/1814/74836

Retrieved from Cadmus, EUI Research Repository

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.

Cadmus permanent link: https://hdl.handle.net/1814/74836

Full-text via DOI: 10.18653/v1/2021.nllp-1.1

ISBN: 9781954085985

Publisher: Association for Computational Linguistics

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