Papers by Stefan Winnige

1 papers
Improving Online Job Advertisement Analysis via Compositional Entity Extraction (2025.emnlp-main)

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Challenge: Existing work on IE in OJAs has focused on skills extraction, but other information is extracted using job tasks, job titles, and work tools.
Approach: They propose a compositional entity modeling framework for requirement extraction from online job advertisements (OJAs) they annotate a manually annotated dataset of 500 German job ads that captures roles, tools, experience levels, attitudes, and their functional context.
Outcome: The proposed framework can extract requirements from a manually annotated dataset of 500 German job ads.

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