June 15, 2023
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 lowresource languages.
Written by
Mike Plekhanov
Nora Kassner
Kashyap Popat
Louis Martin
Simone Merello
Borislav Kozlovskii
Frederic Dreyer
Publisher
https://arxiv.org/
Research Topics
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