Authors:Stephen Meisenbacher, Technical University of MunichSvetlozar Nestorov, Loyola University ChicagoPeter Norlander, Loyola University Chicago Abstract: Data from online job postings are difficult to access and are not built in a standard or transparent manner. Data included in the standard taxonomy and occupational information database (O*NET) are updated infrequently and based on small survey samples. We […] The post Extracting O*NET Features from the NLx Corpus to Build Public Use A...
