Detecting Occupations in German Texts : Challenges and Data

Reiser, Thomas [Verfasser]; Dörpinghaus, Jens [Verfasser]; Steiner, Petra [Verfasser]

Detecting Occupations in German Texts : Challenges and Data

bibb.id	784672
bibb.participation	BIBB-Mitarbeiter	de
dc.contributor.author	Reiser, Thomas [Verfasser]	de
dc.contributor.author	Dörpinghaus, Jens [Verfasser]	de
dc.contributor.author	Steiner, Petra [Verfasser]	de
dc.date.accessioned	2026-04-07T15:57:22Z
dc.date.available	2026-04-07T15:57:22Z
dc.date.issued	2025
dc.description.abstract	"This paper is concerned with the detection and classification of occupational titles in German texts, with a focus on the linguistic and structural challenges that are unique to the German language. The study utilizes an extensive dataset on job title variants to assess rule-based and language model-based methodologies across diverse corpora, encompassing historical documents and parliamentary proceedings. The findings indicate that rule-based methods demonstrate robust performance, particularly in structured texts, while large language models exhibit complementary strengths in recognizing complex terms. The work makes a significant contribution to the field by providing valuable annotated data and methodological insights." (Authors' abstract, BIBB-Doku)	de
dc.description.statementofresponsibility	Thomas Reiser, Jens Dörpinghaus, Petra Steiner	de
dc.format.extent	Seite 49-57	de
dc.format.illustration	Illustrationen	de
dc.format.medium	Elektronische Ressource	de
dc.format.medium	Sammelbandbeitrag	de
dc.identifier.uri	https://bibb-dspace.bibb.de/jspui/handle/BIBB/784672
dc.language.iso	en	de
dc.rdacarrier.code	cr	de
dc.rdacarrier.source	rdacontent	de
dc.rdacarrier.term	Online-Ressource	de
dc.rdacontent.code	txt	de
dc.rdacontent.source	rdacontent	de
dc.rdacontent.term	Text	de
dc.rdamedia.code	c	de
dc.rdamedia.source	rdacontent	de
dc.rdamedia.term	Computermedien	de
dc.relation.ispartof	Proceedings of the 2nd International Workshop on AI in Society, Education and Educational Research (AISEER 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), October 25, 2025. Bologna, Italy / Jens Dörpinghaus [Hrsg.] ; Michael Tiemann [Hrsg.] ; Robert Helmrich [Hrsg.]
dc.rights	Namensnennung 4.0 International	*
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	*
dc.subject.classification	T 3 Forschungsmethoden	de
dc.subject.ddc	370	de
dc.subject.ddc	300	de
dc.subject.other	Texterkennung	de
dc.subject.other	Berufsklassifikation	de
dc.subject.other	Large Language Model
dc.title	Detecting Occupations in German Texts : Challenges and Data	de

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Proceedings of the 2nd International Workshop on AI in Society, Education and Educational Research (AISEER 2025) co-located with 28th European Conference on Artificial Intelligence (ECAI 2025), October 25, 2025. Bologna, Italy / Jens Dörpinghaus [Hrsg.] ; Michael Tiemann [Hrsg.] ; Robert Helmrich [Hrsg.]
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