Extreme Multi-Label Skill Extraction Training using Large Language Models

20 July 2023

Papers citing "Extreme Multi-Label Skill Extraction Training using Large Language Models"

8 / 8 papers shown

Title
Semantic Synergy: Unlocking Policy Insights and Learning Pathways Through Advanced Skill Mapping Phoebe Koundouri Conrad Landis Georgios Feretzakis 64 0 0 13 Mar 2025
Natural Language Processing for Human Resources: A Survey Naoki Otani Nikita Bhutani Estevam R. Hruschka VLM 37 0 0 21 Oct 2024
MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations Federico Retyk Luis Gasco Casimiro Pio Carrino Daniel Deniz Rabih Zbib 33 0 0 10 Oct 2024
Comparative Analysis of Encoder-Based NER and Large Language Models for Skill Extraction from Russian Job Vacancies Nikita Matkin Aleksei Smirnov Mikhail Usanin Egor Ivanov Kirill Sobyanin Sofiia Paklina Petr Parshakov 24 0 0 29 Jul 2024
TopoLedgerBERT: Topological Learning of Ledger Description Embeddings using Siamese BERT-Networks Sander Noels Sébastien Viaene T. D. Bie 31 2 0 19 Apr 2024
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 31 7 0 08 Feb 2024
JOBSKAPE: A Framework for Generating Synthetic Job Postings to Enhance Skill Matching Antoine Magron Anna Dai Mike Zhang Syrielle Montariol Antoine Bosselut SyDa 38 7 0 05 Feb 2024
Entity Linking in the Job Market Domain Mike Zhang Rob van der Goot Barbara Plank 34 3 0 31 Jan 2024