Teaching
University Didactics
I am a passionate teacher and completed the certificate in university didactics offered by Saarland University.
Current Teaching (University of Augsburg)
- Introduction to Natural Language Processing (for B.Sc. Computer Science/Data Science).
- Introduction to Python Programming (for B.Sc. Computer Science), co-taught with Jakob Prange and Fabio Mariani.
- Seminar Natural Language Understanding (for B.Sc. Computer Science / M.Sc. Computer Science), co-taught with Jakob Prange.
- Probevorlesung “Wie funktioniert ChatGPT?”
Past Teaching
I have given various lectures and seminars at Saarland University and at Ludwig-Maximilians-Universität Munich.
Einführung in die Computerlinguistik (Introduction to Computational Linguistics, co-taught with Benjamin Roth)
Symbolische Programmiersprache: Einführung in Python und Grundlagen für Sprachtechnologische Anwendungen (Introduction to Python Programming, co-taught with Benjamin Roth)
Introduction to Python Programming (co-taught with Stefan Thater)
Python Programming and Algorithms for NLP (co-taught with Stefan Thater)
Recent Developments in Computational Discourse Processing (Seminar, co-taught with Alexis Palmer)
Recent Developments in Computational Semantics and Discourse Processing (Seminar, co-taught with Lilian Wanzare and Simon Ostermann)
Discourse Coherence Theories and Modeling (Seminar, co-taught with Alexis Palmer)
Theses advised
Martin Bichlmeier, “tbd”, B.Sc. thesis, University of Augsburg, 2025 (ongoing). (co-advised with Fabio Mariani)
Georg Hofmann, “tbd”, M.Sc. thesis, University of Augsburg, 2025 (ongoing).
Benjamin Schüßler, “tbd”, M.Sc. thesis, University of Augsburg, 2025 (ongoing). (co-advised with Jakob Prange)
Leo Pöller: “tbd”, B.Sc. thesis, University of Augsburg, 2025 (ongoing). (co-advised with Jakob Prange)
Christian Jaumann: “Ranking for Abstract Screening in Systematic Literature Reviews using Large Language Models”, B.Sc. thesis, University of Augsburg, 2024.
Thomas Niemeier: “Large Language Model based Information Extraction from Visually Rich Documents”, B.Sc. thesis, University of Augsburg, 2024.
Daniel Neu: “Prompt Ensembles for Annotation Error Detection with Large Language Models in Temporal Reasoning Datasets”, B.Sc. thesis, University of Augsburg, 2024.
Steffen Kleinle: “Multilingual Question Answering in a German Migration Context Using Neural Methods”, M.Sc. thesis, University of Augsburg, 2024. (co-advised with Jakob Prange) [KONVENS 2024][thesis]
Tim Tarsi: “Extracting Text-based Image Features for Scientific Figure Retrieval”, B.Sc. thesis, DHBW Stuttgart, September 2022. (co-advised with Heike Adel) [WACV 2024]
Teresa Bürkle: “Addressing Class Imbalance in Argumentative Zoning: Effectiveness of Oversampling for Pre-trained Transformer Models”, B.Sc. thesis, DHBW Stuttgart, May 2022. (co-advised with Sophie Henning) [CODI 2023]
Fryderyk Mantiuk: “Identifying informative document representations for patent classification”, B.Sc. thesis, DHBW Stuttgart, September 2021. (co-advised with Subhash Pujari) [BIR Workshop]
Elizaveta Sineva: “Negation Resolution as Dependency Parsing”, M.Sc. thesis, IMS Universität Stuttgart, July 2021. (co-advised with Stefan Grünewald and Jonas Kuhn) [CoNLL Main Conference][thesis
Frederik Oertel: “Learning to Lexicalize Enhanced Universal Dependency Relations from Treebank Data”, B.Sc. thesis, DHBW Stuttgart, 2021. (co-advised with Stefan Grünewald) [IWPT Shared Task]]
Timo Schrader: “Concept Detection for User-Guided Information Extraction in the Materials Science Domain”, B.Sc. thesis, DHBW Stuttgart, September 2020.
Hanna Wecker: “Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation”, M.Sc. thesis, LMU München, 2020. (co-advised with Heike Adel) [Eval4NLP Workshop]
Damyana Gateva: “Acquisition of Parallel Corpora for Aspect Classification”, B.Sc. thesis, Saarland University, December 2016. [EMNLP Main Conference]
Kleio-Isidora Mavridou, “Situation Entity Types: a Cross-linguistic Corpus Study and a Comparison of Automatic Classifiers”, M.Sc. thesis, Saarland University, February 2016. [LSDSem Workshop]
Susanne Fertmann, “Using Speaker Identification to Improve Coreference Resolution in Literary Narratives”, M.Sc. thesis, Saarland University. January 2016.
Liesa Heuschkel, “Automatic Classification of Lexical Aspectual Class Using Distributional and Rule-based Methods”, M.Sc. thesis, Saarland University, January 2016.
Jonathan Oberländer, “Automatic Detection of Linguistic Quality Violations”, B.Sc. thesis, Saarland University, August 2014.
Yudong Zhou, “Fine-grained Sentiment Analysis with Discourse Structure”, M.Sc. thesis, Saarland University, October 2013. (co-advised with Alexis Palmer)
Marina Valeeva, “Linguistic Quality Violations in Multi-Document Summarization”, M.Sc. thesis, Saarland University, 2013. (co-advised with Alexis Palmer) [LREC]