"FIJO": a French Insurance Soft Skill Detection Dataset
Beauchemin, David, Laumonier, Julien, Ster, Yvan Le, Yassine, Marouane
–arXiv.org Artificial Intelligence
Manual evaluation is becoming exceedingly complex and time-consuming, justifying the need for an automatic evaluation of these changes [1]. One way to study these changes in job ads is automatic skills recognition [2]. However, job offer data is not easy to access even in job offers web platforms, mainly due to intellectual property issues. Moreover, the annotation needed to achieve good skill recognition performances through supervised machine learning is another complex and costly task. Indeed, many datasets offering job descriptions are accessible online such as the mycareersfuture public dataset [3]. However, as [4] reported in their article, very few public annotated datasets exist, and none are in French. As contributions, in this article, we propose "French Insurance Job Offer (FIJO)", a free and public non-annotated and annotated dataset, to facilitate research in this domain. This dataset focuses on soft skills, which describe the way employees work alone and with others, instead of hard skills, which represent a more formal knowledge used at work [5].
arXiv.org Artificial Intelligence
Jul-28-2022
- Country:
- Asia (0.04)
- North America
- Canada > Quebec (0.04)
- United States (0.04)
- Genre:
- Research Report (1.00)
- Industry:
- Banking & Finance
- Insurance (0.34)
- Risk Management (0.34)
- Health & Medicine > Therapeutic Area (0.46)
- Banking & Finance
- Technology: