6 citations · 7 across the 5 of their papers we have counts for
6 papers
TalentCLEF at CLEF2026: Skill and Job Title Intelligence for Human Capital Management
Luis Gasco, Hermenegildo Fabregat, Laura García-Sardiña +5
This paper presents the second edition of the TalentCLEF Challenge, which will run as an evaluation lab as part of CLEF 2026. The aim of TalentCLEF is to promote the development of…
Overview of the TalentCLEF 2026: Skill and Job Title Intelligence for Human Capital Management
Luis Gasco, Hermenegildo Fabregat, Laura García-Sardiña +8
This paper presents an overview of the second edition of the TalentCLEF challenge, organized as a Lab at the Conference and Labs of the Evaluation Forum (CLEF) 2026. TalentCLEF is…
Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages
Laura García-Sardiña, Hermenegildo Fabregat, Daniel Deniz +1
This work sets the ground for studying how explicit grammatical gender assignment in job titles can affect the results of automatic job ranking systems. We propose the usage of met…
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
Luis Gasco, Hermenegildo Fabregat, Laura García-Sardiña +4
Advances in natural language processing and large language models are driving a major transformation in Human Capital Management, with a growing interest in building smart systems…
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…