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Evaluation of Transfer Learning and Domain Adaptation for Analyzing German-Speaking Job Advertisements
Our main contribution consists in building language models which are adapted to the domain of job advertisements, and their assessment on a broad range of machine learning problems.
Text Zoning and Classification for Job Advertisements in German, French and English
We present experiments to structure job ads into text zones and classify them into pro- fessions, industries and management functions, thereby facilitating social science analyses on labor marked demand.
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