Summer Semester 2024
Intelligent Systems
- 8 LP
- undergraduate, graduate
Reproducible Machine Learning
- 8 LP
- undergraduate, graduate
Tool-Augmented Large Language Models
- 8 LP
- undergraduate, graduate
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Research Module for MA-Students
- 20 LP
- graduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2023/24
Mathematical Foundations
- 6 LP
- undergraduate
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
Software Project
- 6+4 LP
- undergraduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Summer Semester 2023
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Robust and Parameter-Efficient Finetuning
- 8 LP
- undergraduate, graduate
Software Project
- 6+4 LP
- undergraduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2022/23
Mathematical Foundations
- 6 LP
- undergraduate
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
Interpretable ML
- 8 LP
- undergraduate, graduate
Invariant Learning and Disentanglement for NLP
- 8 LP
- graduate
Research Module for MA-Students
- 20 LP
- graduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Summer Semester 2022
Neural Machine Translation
- 8 LP
- undergraduate, graduate
Empirical Methods for NLP and Data Science
- 8 LP
- undergraduate, graduate
Vision and Language Navigation
- 8 LP
- undergraduate, graduate
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Software Project
- 6+4 LP
- undergraduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2021/22
Introduction to Resources in CL
- (no credit points)
- undergraduate
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
Optimizing Data Usage in Neural Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Research Module for MA-Students
- 20 LP
- graduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Summer Semester 2021
Empirical Methods for NLP and Data Science
- 8 LP
- undergraduate, graduate
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Mathematical Foundations
- 6 LP
- undergraduate
Software Project
- 6+4 LP
- undergraduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2020/21
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
Deep Learning in Speech-to-Text Translation
- 8 LP
- undergraduate, graduate
Imitation and Reinforcement Learning for NLP
- 8 LP
- undergraduate, graduate
Oldies but Goldies
- 8 LP
- undergraduate, graduate
Generalization in Deep Learning
- 8 LP
- undergraduate, graduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Summer Semester 2020
Validity, Reliability, and Confirmation: Elementary Empirical Methods for NLP
- 8 LP
- undergraduate, graduate
Grounded NLP for Spatial Navigation
- 8 LP
- undergraduate, graduate
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Mathematical Foundations
- 6 LP
- undergraduate
Software Project
- 6+4 LP
- undergraduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2019/20
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
Recent Advances in Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
Imitation Learning
- 8 LP
- undergraduate, graduate
Summer Semester 2019
Mathematical Foundations
- 6 LP
- undergraduate
Human Reinforcement Learning
- 8 LP
- undergraduate, graduate
Software Project
- 6+4 LP
- undergraduate
Research Module for MA-Students
- 20 LP
- graduate
StatNLP Colloquium
- (no credit points)
- postgraduate
Bachelor and Master Theses
We offer a broad range of projects and thesis topics in Machine Learning and Natural Language Processing.
Selected Theses (2015 ~)
Bachelor
- One More Bridge to Cross. Bridging Natural Language to Overpass, 2022Supervised by Stefan Riezler and Artem Sokolov
- Mitigating gender bias in machine translation, 2021Supervised by Stefan Riezler and Michael Herweg
- Developing a Speech-to-Text Model that Specialises in Filler Word Detection, 2021Supervised by Stefan Riezler and Katja Markert
- Medication Extraction from Cardiology Discharge Letter, 2021Supervised by Stefan Riezler and Katja Markert
- Investigation of different Topic Modeling Frameworks and Identification of Topics and Trends in a Collection of Funding Proposals of German Federal Ministries, 2021Supervised by Stefan Riezler and Michael Herweg
- Personalized German ASR for dysarthric speech with limited data, 2021Supervised by Stefan Riezler and Michael Herweg
- Investigating the Effects of Reinforcement Learning in Neural Machine Translation, 2021Supervised by Stefan Riezler and Michael Herweg
- Quantized Neural Networks for Keyword Spotting on Neuromorphic Hardware, 2020Supervised by Stefan Riezler and Holger Fröning
- Derivative-free Optimization for Sequence-to-Sequence Models, 2020Supervised by Stefan Riezler and Artem Sokolov
- Parsing of Open Street queries with the Transformer model, 2019Supervised by Stefan Riezler and Artem Sokolov
- Cold-Start Reinforcement Learning For Neural Machine Translation, 2019Supervised by Stefan Riezler and Vivi Nastase
- Curriculum Learning für Neural Machine Translation, 2019Supervised by Stefan Riezler and Anette Frank
- Dialogue Management: Improving Task-Oriented Conversational Agents with Deep Learning, 2019Supervised by Stefan Riezler and Vivi Nastase
- Parsing NLmaps queries using Adversarial Neural Machine Translation, 2018Supervised by Stefan Riezler and Artem Sokolov
- Low Resource Translation for Middle Egyptian, 2018Supervised by Stefan Riezler and Ines Rehbein
- Anonymization of German Medical Admission Notes, 2018Supervised by Stefan Riezler and Vivi Nastase
- Deterministic Annealing for Minimum Risk Neural Machine Translation, 2018Supervised by Stefan Riezler and Vivi Nastase
- Open-Domain Semantic Parsing for Digital Assistants Using Dynamic Slot Filling, 2017Supervised by Stefan Riezler and Vivi Nastase
- Feedback-based Machine Translation with LinUCB, 2017Supervised by Stefan Riezler and Artem Sokolov
- Estimierung von Alter und Geschlecht auf Basis deutscher Textdaten aus Internetforen, 2016Supervised by Stefan Riezler and Anette Frank
- Ensemble Learning for Machine Translation Quality Estimation, 2016Supervised by Stefan Riezler and Artem Sokolov
- Multimodal Pivots for Statistical Machine Translation, 2015Supervised by Stefan Riezler and Artem Sokolov
- Informationsextraktion aus klinischen Texten, 2015Supervised by Stefan Riezler and Petra Knaup-Gregori
Master
- Chinese Shouxian Dialect to English Speech-to-Text Translation, 2022Supervised by Stefan Riezler and Katja Markert
- BERT for semantic search in customer support tickets, 2021Supervised by Stefan Riezler
- An Online Learning System for Parsing and Answering Geographical Queries in Natural Language, 2021Supervised by Stefan Riezler and Katja Markert
- Zeroth Order Optimization for Textual Adversaries, 2021Supervised by Stefan Riezler and Artem Sokolov
- Improving Date Selection in Timeline Summarization, 2020Supervised by Katja Markert and Stefan Riezler
- Towards Error-Aware Interactive Semantic Parsing, 2020Supervised by Stefan Riezler and Artem Sokolov
- Graph Based Representation and Law Prediction for German Court Decisions, 2020Supervised by Stefan Riezler and Michael Gertz
- Neural Methods for Metaphor and Metonymy Recognition, 2020Supervised by Katja Markert and Stefan Riezler
- Unsupervised Sentence Summarization using Metropolis-Hastings Algorithm, 2019Supervised by Katja Markert and Stefan Riezler
- Automatic Proficiency Scoring for Young Second Language Learners, 2019Supervised by Stefan Riezler and Vivi Nastase
- Zeroth-Order Bandit Learning for Structured Prediction, 2019Supervised by Stefan Riezler and Artem Sokolov
- Learning to Learn Competitive Neural Machine Translation Models using Evolution Strategies, 2018Supervised by Stefan Riezler and Katja Markert
- Automatische Spracherkennung in der logopädischen Diagnostik, 2017Supervised by Stefan Riezler and Katja Markert
- SAGA with Perturbations, 2017Supervised by Stefan Riezler and Artem Sokolov
- Quality Estimation and Automatic Post-Editing in a Multi-Task Learning Framework, 2017Supervised by Stefan Riezler and Katja Markert
- Quality Estimation from Scratch, 2016Supervised by Stefan Riezler and Artem Sokolov
- Statistical Machine Translation for Alignments between Images and Captions, 2016Supervised by Stefan Riezler and Yannick Versley
- Supervised Classification of Painting Descriptions, 2015Supervised by Stefan Riezler and Karin Haenelt