Joint Extraction and Classification of Danish Competences for Job Matching
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
The matching of competences, such as skills, occupations or knowledges, is a key desiderata for candidates to be fit for jobs. Automatic extraction of competences from CVs and Jobs can greatly promote recruiters’ productivity in locating relevant candidates for job vacancies. This work presents the first model that jointly extracts and classifies competence from Danish job postings. Different from existing works on skill extraction and skill classification, our model is trained on a large volume of annotated Danish corpora and is capable of extracting a wide range of danish competences, including skills, occupations and knowledges of different categories. More importantly, as a single BERT-like architecture for joint extraction and classification, our model is lightweight and efficient at inference. On a real-scenario job matching dataset, our model beats the state-of-the-art models in the overall performance of Danish competence extraction and classification, and saves over 50% time at inference.
Originalsprog | Engelsk |
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Titel | Advances in Information Retrieval : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II |
Redaktører | Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo |
Antal sider | 9 |
Forlag | Springer |
Publikationsdato | 2023 |
Sider | 475-483 |
ISBN (Trykt) | 978-3-031-28237-9 |
ISBN (Elektronisk) | 978-3-031-28238-6 |
DOI | |
Status | Udgivet - 2023 |
Begivenhed | 45th European Conference on Information Retrieval, ECIR 2023 - Dublin, Irland Varighed: 2 apr. 2023 → 6 apr. 2023 |
Konference
Konference | 45th European Conference on Information Retrieval, ECIR 2023 |
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Land | Irland |
By | Dublin |
Periode | 02/04/2023 → 06/04/2023 |
Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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ISSN | 0302-9743 |
Bibliografisk note
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ID: 373676951