EUROPA: A Legal Multilingual Keyphrase Generation Dataset
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866910486885302272 |
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| author | Salaün, Olivier Piedboeuf, Frédéric Berre, Guillaume Le Hermelo, David Alfonso Langlais, Philippe |
| author_facet | Salaün, Olivier Piedboeuf, Frédéric Berre, Guillaume Le Hermelo, David Alfonso Langlais, Philippe |
| contents | 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. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2403_00252 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | EUROPA: A Legal Multilingual Keyphrase Generation Dataset Salaün, Olivier Piedboeuf, Frédéric Berre, Guillaume Le Hermelo, David Alfonso Langlais, Philippe Computation and Language Artificial Intelligence Machine Learning 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. |
| title | EUROPA: A Legal Multilingual Keyphrase Generation Dataset |
| topic | Computation and Language Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2403.00252 |