DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching

5 April 2021

Papers citing "DataOps for Societal Intelligence: a Data Pipeline for Labor Market Skills Extraction and Matching"

7 / 7 papers shown

Title
Deep Learning-based Computational Job Market Analysis: A Survey on Skill Extraction and Classification from Job Postings Elena Senger Mike Zhang Rob van der Goot Barbara Plank 34 7 0 08 Feb 2024
Hierarchical Classification of Transversal Skills in Job Ads Based on Sentence Embeddings Florin Leon M. Gavrilescu S. Floria A. Minea 23 1 0 10 Jan 2024
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain Mike Zhang Rob van der Goot Barbara Plank 24 14 0 20 May 2023
Skill Extraction from Job Postings using Weak Supervision Mike Zhang Kristian Nørgaard Jensen Rob van der Goot Barbara Plank 42 12 0 16 Sep 2022
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction Jens-Joris Decorte Jeroen Van Hautte Johannes Deleu Chris Develder Thomas Demeester 23 13 0 13 Sep 2022
SkillSpan: Hard and Soft Skill Extraction from English Job Postings Mike Zhang Kristian Nørgaard Jensen Sif Dam Sonniks Barbara Plank 28 53 0 27 Apr 2022
"FIJO": a French Insurance Soft Skill Detection Dataset David Beauchemin Julien Laumonier Yvan Le Ster Marouane Yassine 22 7 0 11 Apr 2022