Paper Info
Title
A language modelling approach for discovering novel labour market occupations from the web
Abstract
This article presents an approach for the identification of potential new occupations, i.e., professions, not yet codified by the international standard taxonomy ISCO. This work is framed within the research activities of the WoLMIS project, developed by the University of Milano-Bicocca for the CEDEFOP European Agency, which classifies on-line job offers according to the ISCO taxonomy by using machine learning techniques. The proposed approach is based on text analysis, in particular on the use of language models, and provides two main contributions in the labour market context. First, it can support labour market experts in identifying new potential occupations and the process of updating the ISCO taxonomy. Second, language models are an effective way to identify the most similar occupations to a given one (either new or already coded in the taxonomy) in terms of skills and competencies. The proposed approach has been tested on a dataset of English job vacancies, obtaining promising results.
Year
DOI
Venue
2017
10.1145/3106426.3109035
WI
Keywords
Field
DocType
Labour Market, Text Analysis, Language Models
Data mining,World Wide Web,Competence (human resources),Computer science,International standard,Language modelling,Language model
Conference
ISBN
Citations 
PageRank 
978-1-4503-4951-2
1
0.35
References 
Authors
15
7
Name
Order
Citations
PageRank
Stefania Marrara117121.05
Gabriella Pasi21673169.31
Marco Viviani314318.95
Mirko Cesarini46212.56
Fabio Mercorio514423.07
Mario Mezzanzanica66418.34
Marco Pappagallo710.68