Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Jens-Joris Decorte

No current affiliation with UGent

ORCID iD: 0009-0000-7892-1211

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Efficient text encoders for labor market analysis

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Chris Develder (UGent) and Thomas Demeester (UGent)

(2025) IEEE ACCESS. 13. p.133596-133608
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Career path prediction using resume representation learning and skill-based matching

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2023) RECSYS in HR 2023 : the 3rd Workshop on Recommender Systems for Human Resources (RecSys in HR 2023), Proceedings. In CEUR workshop proceedings 3490.
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Extreme multi-label skill extraction training using large language models

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

(2023) AI4HR & PES 2023 : International Workshop on AI for Human Resources and Public Employment Services, Proceedings. p.1-10
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Design of negative sampling strategies for distantly supervised skill extraction

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Johannes Deleu (UGent) , Chris Develder (UGent) and Thomas Demeester (UGent)

(2022) Proceedings of the 2nd Workshop on Recommender Systems for Human Resources (RecSys-in-HR 2022). In CEUR workshop proceedings 3218.
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JobBERT : understanding job titles through skills

Jens-Joris Decorte (UGent) , Jeroen Van Hautte, Thomas Demeester (UGent) and Chris Develder (UGent)

(2021) FEAST, ECML-PKDD 2021 Workshop, Proceedings.