Johanna Marie Poppek

GB 3/152

Johanna M. Poppek received her Master’s degree in Computational Linguistics from Ruhr-University Bochum in 2017, being a Research Associate at Linguistics Data Science Lab (earlier: Department of Linguistics) since January 2016.


I am currently a PhD Student in Computational Linguistics at the Linguistic Data Science Lab (Ruhr-University Bochum). My research interests include approaching linguistic issues with the help of modern data-driven methods of Machine Leaning and Deep Learning - regarding multi-disciplinary fields of research like countability or the interaction between syntax and semantics as well as classical Natural Language Processing. Since I have a keen interest for all kinds of data science aspects, I also work in experimental linguistics and corpus linguistics.
My teaching focuses on practical lectures for NLP and Machine Learning in both Python and R.

Machine Learning
Deep Learning
Experiencer Object Verbs
Corpus Linguistics
Data Driven Approaches
Experimental Linguistics
Syntax/Semantics Interface
East Asian Languages
Psych Verbs


Past semesters

SS 20

  • PS: Machine Learning in R (Mo 10-12)

WS 19/20

  • PS: Regressionsmodelle für Linguisten (Mo 10-12)

SS 19

  • Machine Learning in R

WS 18/19

  • Natural Language Processing with Python NLTK

SS 18

  • Machine Learning in R

WS 17/18

  • Symbolic and Statistical Approaches (Programming for NLP 2)


Masloch, S., Poppek, J. M. & Kiss, T. (2024). Not so peculiar after all: On the normal position of arguments of German experiencer-object verbs, Glossa: a journal of general linguistics 9(1). DOI:

Masloch, S., Poppek, J. M., & Kiss, T. (2022, January 6). Two misbehaving German dative experiencer-object verbs [Conference presentation]. 15th Forum for Germanic Language Studies conference, Reading, UK.

Poppek, J. M., Masloch, S. & Kiss, T. (2022). GerEO: A large-scale resource on the syntactic distribution of German experiencer-object verbs. Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022), 3391–3397.

Masloch, S., Poppek, J. M., Robrecht, A., & Kiss, T. (2021). Syntactic Pattern Distribution Analysis of
Experiencer-Object Psych Verbs: An Annotation Manual. Studies in Linguistics and Linguistic Data Science, 4, i–51.

Poppek, J. M., Masloch, S., Robrecht, A., & Kiss, T. (2021). A Quantitative Approach towards German Experiencer-Object Verbs. In R. Čech & X. Chen (Eds.), Proceedings of the Second Workshop on Quantitative Syntax (Quasy, SyntaxFest 2021) (pp. 84–94). Association for Computational Linguistics.

Kiss, Tibor, F. Jeffry Pelletier, Halima Husic & Johanna M. Poppek. 2017. Atomicity Revisited. Descrepancies in Logical Analyses of Plural Number. KU Leuven, Brussels. aufrufbar:*

Kiss, T., Pelletier, F.J., Husić, H. & Poppek, J.M. 2017. Issues of Mass and Count: Dealing with "Dual Life" Nouns. In Proceedings of the 6th Joint Conference on Lexical and Computer Semantics (ACL-Sem 2017), Vancouver, Canada, 189-198. aufrufbar: /media/pages/publikationen/Kiss2017Issues/starsem2017published.pdf

Kiss, T., Pelletier, F.J., Husić, H., Poppek, J.M. & Simunic, R.N.. 2016. A Sense-based Lexicon of Count and Mass Expressions: The Bochum English Countability Lexicon. In Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, Portorož, Slovenia, aufrufbar: /media/pages/publikationen/Kiss2016Sense-based/lrec2016.pdf