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?”
- We also offer project modules (Master-level, 10 ECTS) and research modules (Bachelor-level, 6 ECTS) at our chair, as well as opportunities for Master and Bachelor theses.
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
Lea Nora Avelina Tuncer Mata, “tbd”, M.Sc. thesis. (co-advised with Georg Hofmann)
Elias Kohout, “An LLM-Empowered Web-Based Study Advisor: Design, Implementation, and Evaluation”, B.Sc. thesis (ongoing).
Andrea Krestakova, “Annotating and modeling situation entities for Czech”, M.Sc. thesis (ongoing). (co-advised with Hanna Schmück)
Martin Bichlmeier, “Quotation Detection in Fictional and Non-Fictional Texts Using Large Language Models”, B.Sc. thesis, University of Augsburg, 2025. (co-advised with Fabio Mariani)
Georg Hofmann, “Confidence Estimation for Extreme Multi-Label Text Classification using Large Language Models”, M.Sc. thesis, University of Augsburg, 2025.
Benjamin Schüßler, “Analyzing and Improving Readability in German Environmental, Social, and Governance Reporting”, M.Sc. thesis, University of Augsburg, 2025. (co-advised with Jakob Prange)
Leo Pöller: “Dealing with Uncertainties in Corpora Climate Reports: Multidimensional classification and interpretation with LLMs and Contrastive Explanations”, B.Sc. thesis, University of Augsburg, 2025. (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. [ACL Findings 2025]
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]