JRC-Names: A freely available, highly multilingual named entity resource
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Abstract (arXiv)
This paper describes a new, freely available, highly multilingual named entity resource for person and organisation names that has been compiled over seven years of large-scale multilingual news analysis combined with Wikipedia mining, resulting in 205,000 per-son and organisation names plus about the same number of spelling variants written in over 20 different scripts and in many more languages. This resource, produced as part of the Europe Media Monitor activity (EMM, http://emm.newsbrief.eu/overview.html), can be used for a number of purposes. These include improving name search in databases or on the internet, seeding machine learning systems to learn named entity recognition rules, improve machine translation results, and more. We describe here how this resource was created; we give statistics on its current size; we address the issue of morphological inflection; and we give details regarding its functionality. Updates to this resource will be made available daily.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Sep 2013.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 0; 2026: 2.
6 papers.
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challengescited by 42
- 2023Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphscited by 6
- 2024ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidatacited by 5
- 2022ParaNames: A Massively Multilingual Entity Name Corpuscited by 3
- 2026Efficient Multilingual Name Type Classification Using Convolutional Networkscited by 0
- 2026Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contextscited by 0
- 2026Structure-Guided Entity Resolution: Fine-Tuning LLMs for Robust Name Matching in Complex Linguistic Contexts22 May 2026
- 2026Efficient Multilingual Name Type Classification Using Convolutional Networks16 Jan 2026
- 2024Natural Language Processing for the Legal Domain: A Survey of Tasks, Datasets, Models, and Challenges25 Oct 2024
- 2024ParaNames 1.0: Creating an Entity Name Corpus for 400+ Languages using Wikidata15 May 2024
- 2023Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs27 Nov 2023
- 2022ParaNames: A Massively Multilingual Entity Name Corpus28 Feb 2022