Multilingual End to End Entity Linking

• URL: http://arxiv.org/abs/2306.08896v1
• Date: Thu, 15 Jun 2023 07:02:00 GMT
• Title: Multilingual End to End Entity Linking
• Authors: Mikhail Plekhanov, Nora Kassner, Kashyap Popat, Louis Martin, Simone Merello, Borislav Kozlovskii, Fr\'ed\'eric A. Dreyer, Nicola Cancedda
• Abstract summary: We release and open source BELA, the first fully end-to-end multilingual entity linking model. BelA efficiently detects and links entities in texts in any of 97 languages.
• Score: 6.478594417785639
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Entity Linking is one of the most common Natural Language Processing tasks in practical applications, but so far efficient end-to-end solutions with multilingual coverage have been lacking, leading to complex model stacks. To fill this gap, we release and open source BELA, the first fully end-to-end multilingual entity linking model that efficiently detects and links entities in texts in any of 97 languages. We provide here a detailed description of the model and report BELA's performance on four entity linking datasets covering high- and low-resource languages.

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