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arXiv · 2410.08319

MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations

Federico Retyk·Luis Gasco·Casimiro Pio Carrino·Daniel Deniz·Rabih Zbib
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Abstract

We present the Multilingual Entity Linking of Occupations (MELO) Benchmark, a new collection of 48 datasets for evaluating the linking of entity mentions in 21 languages to the ESCO Occupations multilingual taxonomy. MELO was built using high-quality, pre-existent human annotations. We conduct experiments with simple lexical models and general-purpose sentence encoders, evaluated as bi-encoders in a zero-shot setup, to establish baselines for future research. The datasets and source code for standardized evaluation are publicly available at https://github.com/Avature/melo-benchmark

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Federico Retyk, Luis Gasco, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib. 2024-10-10. MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations. https://arxiv.org/abs/2410.08319

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