Papers with structured semantic representation of skills
Retrieving Skills from Job Descriptions: A Language Model Based Extreme Multi-label Classification Framework (2020.coling-main)
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| Challenge: | 65% of job descriptions miss describing a significant number of relevant skills, a problem we address with a deep learning model based on a multi-label classification problem . |
| Approach: | They propose a deep learning model to learn the set of enumerated job skills associated with a job description. |
| Outcome: | The proposed model improves on an existing baseline solution by over 9% and 7% absolute improvements in terms of recall and normalized discounted cumulative gain. |