6 citations · 6 across the 4 of their papers we have counts for
4 papers
WorkRB: A Community-Driven Evaluation Framework for AI in the Work Domain
Matthias De Lange, Warre Veys, Federico Retyk +16
Today's evolving labor markets rely increasingly on recommender systems for hiring, talent management, and workforce analytics, with natural language processing (NLP) capabilities…
MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
Federico Retyk, Luis Gasco, Casimiro Pio Carrino +2
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 ESC…
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study
Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru +2
Extracting information from résumés is typically formulated as a two-stage problem, where the document is first segmented into sections and then each section is processed individua…
Learning Job Titles Similarity from Noisy Skill Labels
Rabih Zbib, Lucas Alvarez Lacasa, Federico Retyk +5
Measuring semantic similarity between job titles is an essential functionality for automatic job recommendations. This task is usually approached using supervised learning techniqu…