@incollection{LangTuZeidler2023,
  author    = {Lang, Christian and Tu, Ngoc Duyen Tanja and Zeidler, Laura},
  title     = {Making Non-Normalized Content Retrievable - A Tagging Pipeline for a Corpus of Expert-Layperson Texts},
  booktitle = {Language, Data and Knowledge 2023 (LDK 2023): Proceedings of the 4th Conference on Language, Data and Knowledge},
  editor    = {Carvalho, Sara and Khan, Anas Fahad and Anić, Ana Ostroški and Spahiu, Blerina and Gracia, Jorge and McCrae, John P. and Gromann, Dagmar and Heinisch, Barbara and Salgado, Ana},
  isbn      = {978-989-54081-5-3},
  doi       = {https://doi.org/10.34619/srmk-injj},
  publisher      = {Leibniz-Institut f{\"u}r Deutsche Sprache (IDS)},
  pages     = {239 -- 244},
  year      = {2023},
  abstract  = {Conventional terminology resources reach their limits when it comes to automatic content classification of texts in the domain of expertlayperson communication. This can be attributed to the fact that (non-normalized) language usage does not necessarily reflect the terminological elements stored in such resources. We present several strategies to extend a terminological resource with term-related elements in order to optimize automatic content classification of expert-layperson texts.},
  subject      = {Kommunikation},
  language  = {en}
}