论文标题
需要吗？排名工作标题所需的技能
Is it Required? Ranking the Skills Required for a Job-Title
论文作者
论文摘要
在本文中，我们描述了我们对给定职位标题所需技能进行排名的方法。我们的分析表明，重要/相关的技能在类似的职称中更频繁地出现。我们训练语言不可吻合的伯特句子编码器（LABSE）模型，以使用弱监督来预测技能的重要性。我们表明该模型可以学习技能的重要性，并在其他语言中表现良好。此外，我们展示了技能的逆文档频率因素如何提高专业技能。
In this paper, we describe our method for ranking the skills required for a given job title. Our analysis shows that important/relevant skills appear more frequently in similar job titles. We train a Language-agnostic BERT Sentence Encoder (LaBSE) model to predict the importance of the skills using weak supervision. We show the model can learn the importance of skills and perform well in other languages. Furthermore, we show how the Inverse Document Frequency factor of skill boosts the specialised skills.
