Publication: Fine-Grained Extraction and Classification of Skill Requirements in German-Speaking Job Ads
Fine-Grained Extraction and Classification of Skill Requirements in German-Speaking Job Ads
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Gnehm, A.-S., Bühlmann, E., Buchs, H., & Clematide, S. (2022). Fine-Grained Extraction and Classification of Skill Requirements in German-Speaking Job Ads. 14–24. https://aclanthology.org/2022.nlpcss-1.2
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Monitoring the development of labor market skill requirements is an information need that is more and more approached by applying text mining methods to job advertisement data. We present an approach for fine-grained extraction and classification of skill requirements from German-speaking job advertisements. We adapt pre-trained transformer-based language models to the domain and task of computing meaningful representations of sentences or spans. By using context from job advertisements and the large ESCO domain ontology we improve ou
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Gnehm, A.-S., Bühlmann, E., Buchs, H., & Clematide, S. (2022). Fine-Grained Extraction and Classification of Skill Requirements in German-Speaking Job Ads. 14–24. https://aclanthology.org/2022.nlpcss-1.2
