EUROPA: A Legal Multilingual Keyphrase Generation Dataset
Salaün, Olivier, Piedboeuf, Frédéric, Berre, Guillaume Le, Hermelo, David Alfonso, Langlais, Philippe
–arXiv.org Artificial Intelligence
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 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.
arXiv.org Artificial Intelligence
Jun-14-2024
- Country:
- South America > Chile
- North America
- Dominican Republic (0.04)
- United States
- Washington > King County
- Seattle (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.04)
- Washington > King County
- Canada
- Europe
- Germany (0.04)
- France (0.04)
- Netherlands > North Holland
- Amsterdam (0.04)
- Italy > Tuscany
- Florence (0.04)
- Sweden > Uppsala County
- Uppsala (0.04)
- Spain > Catalonia
- Barcelona Province > Barcelona (0.04)
- Croatia > Dubrovnik-Neretva County
- Dubrovnik (0.04)
- Belgium > Brussels-Capital Region
- Brussels (0.04)
- Portugal
- Asia
- Thailand > Chiang Mai
- Chiang Mai (0.04)
- Middle East > UAE
- Abu Dhabi Emirate > Abu Dhabi (0.04)
- Japan > Honshū
- Kansai > Osaka Prefecture
- Osaka (0.04)
- Chūbu > Aichi Prefecture
- Nagoya (0.04)
- Kansai > Osaka Prefecture
- China
- Heilongjiang Province > Daqing (0.04)
- Hong Kong (0.04)
- Thailand > Chiang Mai
- Genre:
- Research Report (0.84)
- Industry:
- Law (1.00)
- Government > Regional Government
- Europe Government (1.00)
- Technology: