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Hein and J. D\u00f6rpinghaus, \u201cWhat is said about vet on social media\nin germany? trends, demands, and opinions.\u201d in NORDYRK BOOK OF\nABSTRACTS, 2024, p. 109."},{"key":"ref2","unstructured":"J. Binnewitt, \u201cRecognising occupational titles in german parliamentary\ndebates,\u201d in Proceedings of the 8th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities\nand Literature (LaTeCH-CLfL 2024), 2024, pp. 221\u2013230."},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"A. Fischer and J. D\u00f6rpinghaus, \u201cWeb mining of online resources for\ngerman labor market research and education: Finding the ground truth?\u201d\nKnowledge, vol. 4, no. 1, pp. 51\u201367, 2024.","DOI":"10.3390\/knowledge4010003"},{"key":"ref4","unstructured":"N. R. Council, D. of Behavioral, S. Sciences, C. on Occupational Classification, and Analysis, \u201cWork, jobs, and occupations: A critical review\nof the dictionary of occupational titles,\u201d 1980."},{"key":"ref5","unstructured":"F. Javed, M. McNair, F. Jacob, and M. Zhao, \u201cTowards a job title\nclassification system,\u201d arXiv preprint https:\/\/arxiv.org\/abs\/1606.00917, 2016."},{"key":"ref6","unstructured":"Y. Zhu, F. Javed, and O. Ozturk, \u201cDocument embedding strategies for\njob title classification.\u201d in FLAIRS, 2017, pp. 221\u2013226."},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"I. Rahhal, K. M. Carley, I. Kassou, and M. Ghogho, \u201cTwo stage job\ntitle identification system for online job advertisements,\u201d IEEE Access,\nvol. 11, pp. 19 073\u201319 092, 2023.","DOI":"10.1109\/ACCESS.2023.3247866"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"F. Javed, Q. Luo, M. McNair, F. Jacob, M. Zhao, and T. S. Kang,\n\u201cCarotene: A job title classification system for the online recruitment\ndomain,\u201d in 2015 IEEE First International Conference on Big Data\nComputing Service and Applications. IEEE, 2015, pp. 286\u2013293.","DOI":"10.1109\/BigDataService.2015.61"},{"key":"ref9","unstructured":"R. Baskaran and J. M\u00fcller, \u201cClassification of german job titles in online\njob postings using the kldb-2010 taxonomy,\u201d 2023."},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"M. Schierholz, \u201cAn auxiliary classification with work activity descriptions for occupation coding,\u201d AStA Wirtschafts-und Sozialstatistisches\nArchiv, vol. 12, pp. 285\u2013298, 2018.","DOI":"10.1007\/s11943-018-0231-2"},{"key":"ref11","unstructured":"A. M\u00fcller, \u201cThe implementation of the german classification of occupations 2010 in the iab job vacancy survey: documentation of the\nimplementation process,\u201d IAB-Forschungsbericht, Tech. Rep., 2014."},{"key":"ref12","unstructured":"V. P. V. Karanam, \u201cOccupation coding using a pretrained language model\nby integrating domain knowledge,\u201d 2022."},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"P. Safikhani, H. Avetisyan, D. F\u00f6ste-Eggers, and D. Broneske, \u201cAutomated occupation coding with hierarchical features: A data-centric\napproach to classification with pre-trained language models,\u201d Discover\nArtificial Intelligence, vol. 3, no. 1, p. 6, 2023.","DOI":"10.1007\/s44163-023-00050-y"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"R. Fechner, J. D\u00f6rpinghaus, and A. Firll, \u201cClassifying industrial sectors\nfrom german textual data with a domain adapted transformer,\u201d in\n2023 18th Conference on Computer Science and Intelligence Systems\n(FedCSIS). IEEE, 2023, pp. 463\u2013470.","DOI":"10.15439\/2023F6694"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"R. Fechner and J. D\u00f6rpinghaus, \u201cNo train, no pain? assessing the ability\nof llms for text classification with no finetuning,\u201d in Proceedings of\nthe Position Papers of the 19th Conference on Computer Science and\nIntelligence Systems (FedCSIS), Belgrade, Serbia, 2024, pp. 8\u201311.","DOI":"10.15439\/2024F9098"},{"key":"ref16","unstructured":"F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion,\nO. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg et al.,\n\u201cScikit-learn: Machine learning in python,\u201d the Journal of machine\nLearning research, vol. 12, pp. 2825\u20132830, 2011."}],"event":{"name":"20th Conference on Computer Science and Intelligence Systems (FedCSIS)","theme":"Computer Science and Intelligence Systems","location":"Krak\u00f3w, Poland","acronym":"FedCSIS","number":"20","start":{"date-parts":[[2025,9,14]]},"end":{"date-parts":[[2025,9,17]]}},"container-title":["Annals of Computer Science and Information Systems","Proceedings of the 20th Conference on Computer Science and Intelligence Systems (FedCSIS)"],"original-title":[],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T07:50:50Z","timestamp":1761119450000},"score":1,"resource":{"primary":{"URL":"https:\/\/annals-csis.org\/Volume_43\/drp\/4081.html"}},"subtitle":[],"proceedings-subject":"Computer Science and Information Systems","short-title":[],"issued":{"date-parts":[[2025,10,15]]},"references-count":16,"URL":"https:\/\/doi.org\/10.15439\/2025f4081","relation":{},"ISSN":["2300-5963"],"issn-type":[{"value":"2300-5963","type":"print"}],"subject":[],"published":{"date-parts":[[2025,10,15]]}}}