Comparison of Multilingual Entity Linking Approaches

Ivelina Bozhinova, Andrey Tagarev


Abstract
Despite rapid developments in the field of Natural Language Processing (NLP) in the past few years, the task of Multilingual Entity Linking (MEL) and especially its end-to-end formulation remains challenging. In this paper we aim to evaluate solutions for general end-to-end multilingual entity linking by conducting experiments using both existing complete approaches and novel combinations of pipelines for solving the task. The results identify the best performing current solutions and suggest some directions for further research.
Anthology ID:
2023.ranlp-1.25
Volume:
Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing
Month:
September
Year:
2023
Address:
Varna, Bulgaria
Editors:
Ruslan Mitkov, Galia Angelova
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd., Shoumen, Bulgaria
Note:
Pages:
224–233
Language:
URL:
https://aclanthology.org/2023.ranlp-1.25
DOI:
Bibkey:
Cite (ACL):
Ivelina Bozhinova and Andrey Tagarev. 2023. Comparison of Multilingual Entity Linking Approaches. In Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, pages 224–233, Varna, Bulgaria. INCOMA Ltd., Shoumen, Bulgaria.
Cite (Informal):
Comparison of Multilingual Entity Linking Approaches (Bozhinova & Tagarev, RANLP 2023)
Copy Citation:
PDF:
https://aclanthology.org/2023.ranlp-1.25.pdf