Steffen Remus

Teaching Experience

Courses @ University of Hamburg, Hamburg, Germany

SS '26 Lecturer, Web Interfaces for Language Processing Systems
WS '25/26 Parental leave
SS '25 Lecturer, Web Interfaces for Language Processing Systems
WS '24/25 Lecturer, Applications with Aspects of Language Technology
WS '24/25 Teaching Assistant, Python for Computational Science
WS '24/25 Teaching Assistant, Software Engineering I
SS '24 Co-Lecturer, Research Software Engineering
SS '24 Lecturer, Web Interfaces for Language Processing Systems
WS '23/24 Lecturer, Applications with Aspects of Language Technology
WS '23/24 Lecturer, Deep Learing for Natural Language Processing
WS '23/24 Teaching Assistant, Software Engineering I
SS '23 Lecturer, Web Interfaces for Language Processing Systems
SS '23 Teaching Assistant, Statistical Methods of Language Technology
WS '22/23 Lecturer, Applications with Aspects of Language Technology
WS '22/23 Lecturer, Deep Learing for Unstructured Data
WS '22/23 Teaching Assistant, Software Engineering I
SS '22 Lecturer, Web Interfaces for Language Processing Systems
SS '22 Teaching Assistant, Machine Learning
WS '17/18 Teaching Assistant, Software Engineering I
WS '16/17 Lecturer, Practical Applications in NLP
WS '16/17 Teaching Assistant, Software Engineering I

Courses @ Technical University of Darmstadt, Darmstadt, Germany

SS '16 Teaching Assistant, Algorithms of Language Technology
SS '16 Lecturer, Q,&,A Technologies behind IBM Watson
SS '15 Teaching Assistant, Algorithms of Language Technology
SS '15 Lecturer, Q,&,A Technologies behind IBM Watson
SS '14 Teaching Assistant, Algorithms of Language Technology
WS '11/12 Tutor, General Computer Science I
WS '10/11 Tutor, General Computer Science I
WS '09/10 Tutor, General Computer Science I

Supervised Theses

  1. Philip Heider. 2025. The EU AI Acts Risk Management in Practice. BA. Hamburg, Germany: Universität Hamburg & Bucerius Law School.

  2. Robert Günzler. 2024. Exploring Large Language Models in Argument Retrieval for Content- and Demographic-Relevance. BA. Hamburg, Germany: Universität Hamburg.

  3. Neil Hinrichs. 2024. Combined Generation of Images and Texts for MEMEs. BA. Hamburg, Germany: Universität Hamburg.

  4. Lennart Roth. 2024. A Comparison of Selective State Space Models and Transformers for Single-Step Retrosynthetic Reaction Prediction. BA. Hamburg, Germany: Universität Hamburg.

  5. Mengy Li. 2022. Knowledge-infused Approaches to Abstractive Text Summarization. MA. Hamburg, Germany: Universität Hamburg.

  6. Teresa Lübeck. 2022. Clustering of BERT-based Subject-Verb-Object Embeddings. BA. Hamburg, Germany: Universität Hamburg.

  7. Fabian Rausch. 2022. Transformer-encoder-based financial entity and value extraction with distant supervision. MA. Hamburg, Germany: Universität Hamburg.

  8. Jan Stenzel. 2022. Zero-Shot Entity Disambiguation by Clustering Unambiguous Contextualized Mentions. MA. Hamburg, Germany: Universität Hamburg.

  9. Frederik Wille. 2022. Unsupervised Entity Disambiguation Using Pretrained Contextualized Word Embeddings. MA. Hamburg, Germany: Universität Hamburg.

  10. Maximilian Fischer. 2021. Matching Bottom-Up Sense Inventories to Top-Down Ontology Concepts. BA. Hamburg, Germany: Universität Hamburg.

  11. Tim Fischer. 2021. Finding Factual Inconsistencies in Abstractive Summaries. MA. Hamburg, Germany: Universität Hamburg.

  12. Gopalakrishnan Venkatesh. 2021. Enriching Word Representations Using Distributional Thesaurus. MA. Hamburg, Germany & Bangalore, India: Universität Hamburg & IIIT, Bangalore.

  13. Hans Ole Hatz. 2020. Using Neural Language Models to Detect Spoilers. MA. Hamburg, Germany: Universität Hamburg.

  14. Ching Nok Au. 2019. Question Answering for Machine Comprehension: A unified approach. Independent Study. Hamburg, Germany: Technische Universität Hamburg.

  15. Tim Dobert. 2019. Sentiment Analysis of Informal Online Texts with Neural Networks. MA. Hamburg, Germany: Universität Hamburg.

  16. Jingyuan Feng. 2019. Pun Detection and Location. Independent Study. Hamburg, Germany: Technische Universität Hamburg.

  17. Rami Aly. 2018. Hierarchical writing genre classification with neural networks. BA. Hamburg, Germany: Universität Hamburg.

  18. Kai Brusch. 2018. Variational Inference for Scalable Probabilistic Topic Modelling. MA. Hamburg, Germany: Universität Hamburg & AirBnb.

  19. Alvin Rindra Fazrie. 2018. Visual Information Management with Compound Graphs. MA. Hamburg, Germany: Universität Hamburg.

  20. Tim Fischer. 2018. Expert Retrieval using weighted query-based Expertise Graphs on Citation Networks. BA. Hamburg, Germany: Universität Hamburg.

  21. Joël Harms. 2018. Evaluation of Argumentation Schemas for the Identification of Software-Architecture Knowledge in Developer Communities. BA. Hamburg, Germany: Universität Hamburg.

  22. Relation Extraction Using Sense Embeddings. 2018. Independent Study. Hamburg, Germany: Universität Hamburg.

  23. Dominik Sobania. 2015. Focused crawling with self-learning features. MA. Darmstadt, Germany: Technische Universität Darmstadt.

  24. Dennis Werner. 2015. Focused crawling for parallel corpora. BA. Darmstadt, Germany: Technische Universität Darmstadt.