NLP
Multilingual End to End Entity Linking
June 15, 2023
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 lowresource languages.
AUTHORS
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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