6 citations · 21 across the 12 of their papers we have counts for
11 papers · 1 filter
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…
Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker
Matthias De Lange, Jens-Joris Decorte, Jeroen Van Hautte
Applications in labor market intelligence demand specialized NLP systems for a wide range of tasks, characterized by extreme multi-label target spaces, strict latency constraints,…
Multilingual JobBERT for Cross-Lingual Job Title Matching
Jens-Joris Decorte, Matthias De Lange, Jeroen Van Hautte
We introduce JobBERT-V3, a contrastive learning-based model for cross-lingual job title matching. Building on the state-of-the-art monolingual JobBERT-V2, our approach extends supp…
Efficient Text Encoders for Labor Market Analysis
Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder +1
Labor market analysis relies on extracting insights from job advertisements, which provide valuable yet unstructured information on job titles and corresponding skill requirements.…
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness
Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester +1
Accurately modeling the relationships between skills is a crucial part of human resources processes such as recruitment and employee development. Yet, no benchmarks exist to evalua…
Career Path Prediction using Resume Representation Learning and Skill-based Matching
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu +2
The impact of person-job fit on job satisfaction and performance is widely acknowledged, which highlights the importance of providing workers with next steps at the right time in t…
Extreme Multi-Label Skill Extraction Training using Large Language Models
Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte +3
Online job ads serve as a valuable source of information for skill requirements, playing a crucial role in labor market analysis and e-recruitment processes. Since such ads are typ…
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu +2
Skills play a central role in the job market and many human resources (HR) processes. In the wake of other digital experiences, today's online job market has candidates expecting t…
JobBERT: Understanding Job Titles through Skills
Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester +1
Job titles form a cornerstone of today's human resources (HR) processes. Within online recruitment, they allow candidates to understand the contents of a vacancy at a glance, while…
Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion
Jeroen Van Hautte, Vincent Schelstraete, Mikaël Wornoo
Machine learning plays an ever-bigger part in online recruitment, powering intelligent matchmaking and job recommendations across many of the world's largest job platforms. However…
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models
Jeroen Van Hautte, Guy Emerson, Marek Rei
Word embeddings are an essential component in a wide range of natural language processing applications. However, distributional semantic models are known to struggle when only a sm…