Job description parsing with explainable transformer based ensemble models to extract the technical and non-technical skills

Job description parsing with explainable transformer based ensemble models to extract the technical and non-technical skills

The rapid digitization of the economy is transforming the job market, creating new roles and reshaping existing ones. As skill requirements evolve, identifying essential competencies becomes increasingly critical. This paper introduces a novel ensemble model that combines traditional and transformer...

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Bibliographic Details
Main Author:	Abbas Akkasi
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Natural Language Processing Journal
Subjects:	Ensemble learning Convolutional Neural Network (CNN) Bidirectional Long-Short Term Memory (biLSTM) Conditional Random Fields(CRF) Transformer
Online Access:	http://www.sciencedirect.com/science/article/pii/S2949719124000505
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