Joint Extraction and Classification of Danish Competences for Job Matching
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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.
Original language | English |
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Title of host publication | Advances in Information Retrieval : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part II |
Editors | Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Udo Kruschwitz, Annalina Caputo |
Number of pages | 9 |
Publisher | Springer |
Publication date | 2023 |
Pages | 475-483 |
ISBN (Print) | 978-3-031-28237-9 |
ISBN (Electronic) | 978-3-031-28238-6 |
DOIs | |
Publication status | Published - 2023 |
Event | 45th European Conference on Information Retrieval, ECIR 2023 - Dublin, Ireland Duration: 2 Apr 2023 → 6 Apr 2023 |
Conference
Conference | 45th European Conference on Information Retrieval, ECIR 2023 |
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Land | Ireland |
By | Dublin |
Periode | 02/04/2023 → 06/04/2023 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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ISSN | 0302-9743 |
Bibliographical note
Funding Information:
Acknowledgement. This research was supported by the Innovation Fund Denmark, grant no. 0175-000005B. We are grateful for Jobindex’s support on providing the data and setting up the experiment.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
- Competence extraction and classification, Danish BERT, Job matching
Research areas
ID: 373676951