@inproceedings{drawzeski-etal-2021-corpus,
title = "A Corpus for Multilingual Analysis of Online Terms of Service",
author = "Drawzeski, Kasper and
Galassi, Andrea and
Jablonowska, Agnieszka and
Lagioia, Francesca and
Lippi, Marco and
Micklitz, Hans Wolfgang and
Sartor, Giovanni and
Tagiuri, Giacomo and
Torroni, Paolo",
editor = "Aletras, Nikolaos and
Androutsopoulos, Ion and
Barrett, Leslie and
Goanta, Catalina and
Preotiuc-Pietro, Daniel",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2021",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.nllp-1.1",
doi = "10.18653/v1/2021.nllp-1.1",
pages = "1--8",
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.",
}
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%0 Conference Proceedings
%T A Corpus for Multilingual Analysis of Online Terms of Service
%A Drawzeski, Kasper
%A Galassi, Andrea
%A Jablonowska, Agnieszka
%A Lagioia, Francesca
%A Lippi, Marco
%A Micklitz, Hans Wolfgang
%A Sartor, Giovanni
%A Tagiuri, Giacomo
%A Torroni, Paolo
%Y Aletras, Nikolaos
%Y Androutsopoulos, Ion
%Y Barrett, Leslie
%Y Goanta, Catalina
%Y Preotiuc-Pietro, Daniel
%S Proceedings of the Natural Legal Language Processing Workshop 2021
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F drawzeski-etal-2021-corpus
%X 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.
%R 10.18653/v1/2021.nllp-1.1
%U https://aclanthology.org/2021.nllp-1.1
%U https://doi.org/10.18653/v1/2021.nllp-1.1
%P 1-8
Markdown (Informal)
[A Corpus for Multilingual Analysis of Online Terms of Service](https://aclanthology.org/2021.nllp-1.1) (Drawzeski et al., NLLP 2021)
ACL
- Kasper Drawzeski, Andrea Galassi, Agnieszka Jablonowska, Francesca Lagioia, Marco Lippi, Hans Wolfgang Micklitz, Giovanni Sartor, Giacomo Tagiuri, and Paolo Torroni. 2021. A Corpus for Multilingual Analysis of Online Terms of Service. In Proceedings of the Natural Legal Language Processing Workshop 2021, pages 1–8, Punta Cana, Dominican Republic. Association for Computational Linguistics.