Jeroen Van Hautte

According to our database, Jeroen Van Hautte authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the Biased Assessment of Expert Finding Systems.

Jens-Joris Decorte, Jeroen Van Hautte, Chris Develder, Thomas Demeester

CoRR, 2024

SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness.

Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder

CoRR, 2024

2023

Extreme Multi-Label Skill Extraction Training using Large Language Models.

Jens-Joris Decorte, Severine Verlinden, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester

CoRR, 2023

Career Path Prediction using Resume Representation Learning and Skill-based Matching.

Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester

Proceedings of the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023) co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

2022

Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction.

Jens-Joris Decorte, Jeroen Van Hautte, Johannes Deleu, Chris Develder, Thomas Demeester

Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022) co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022), 2022

2021

JobBERT: Understanding Job Titles through Skills.

Jens-Joris Decorte, Jeroen Van Hautte, Thomas Demeester, Chris Develder

CoRR, 2021

2020

Leveraging the Inherent Hierarchy of Vacancy Titles for Automated Job Ontology Expansion.

Jeroen Van Hautte, Vincent Schelstraete, Mikaël Wornoo

CoRR, 2020

2019

Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models.

Jeroen Van Hautte, Guy Emerson, Marek Rei

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019