ACL 2024long3 citations
EUROPA: A Legal Multilingual Keyphrase Generation Dataset
Olivier Salaün, Frédéric Piedboeuf, Guillaume Le Berre, David Alfonso-Hermelo, Philippe Langlais
Abstract
Keyphrase generation has primarily been explored within the context of academic research articles, with a particular focus on scientific domains and the English language. In this work, we present EUROPA, a novel dataset for multilingual keyphrase generation in the legal domain. It is derived from legal judgments from the Court of Justice of the European Union (EU), and contains instances in all 24 EU official languages. We run multilingual models on our corpus and analyze the results, showing room for improvement on a domain-specific multilingual corpus such as the one we present.
BibTeX
@inproceedings{salaun-etal-2024-europa,
title = "{EUROPA}: A Legal Multilingual Keyphrase Generation Dataset",
author = {Sala{\"u}n, Olivier and
Piedboeuf, Fr{\'e}d{\'e}ric and
Le Berre, Guillaume and
Alfonso-Hermelo, David and
Langlais, Philippe},
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-long.687/",
doi = "10.18653/v1/2024.acl-long.687",
pages = "12718--12736"
}