Winter Semester 2020/21
LECTURE
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
MAIN SEMINAR
Deep Learning in Speech-to-Text Translation
- 8 LP
- undergraduate, graduate
MAIN SEMINAR
Imitation and Reinforcement Learning for NLP
- 8 LP
- undergraduate, graduate
MAIN SEMINAR
Oldies but Goldies
- 8 LP
- undergraduate, graduate
MAIN SEMINAR
Generalization in Deep Learning
- 8 LP
- undergraduate, graduate
COLLOQUIUM
StatNLP Colloquium
- (no credit points)
- postgraduate
Summer Semester 2020
MAIN SEMINAR
Validity, Reliability, and Confirmation: Elementary Empirical Methods for NLP
- 8 LP
- undergraduate, graduate
MAIN SEMINAR
Grounded NLP for Spatial Navigation
- 8 LP
- undergraduate, graduate
MAIN SEMINAR
Introduction to Neural Networks and Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
LECTURE
Mathematical Foundations
- 6 LP
- undergraduate
PROJECT
Software Project
- 6+4 LP
- undergraduate
COLLOQUIUM
StatNLP Colloquium
- (no credit points)
- postgraduate
Winter Semester 2019/20
LECTURE
Statistical Methods for Computational Linguistics
- 6 LP
- undergraduate
MAIN SEMINAR
Recent Advances in Sequence-To-Sequence Learning
- 8 LP
- undergraduate, graduate
MAIN SEMINAR (BLOCK)
Imitation Learning
- 8 LP
- undergraduate, graduate
Summer Semester 2019
LECTURE
Mathematical Foundations
- 6 LP
- undergraduate
MAIN SEMINAR
Human Reinforcement Learning
- 8 LP
- undergraduate, graduate
PROJECT
Software Project
- 6+4 LP
- undergraduate
PROJECT
Research Module for MA-Students
- 20 LP
- graduate
COLLOQUIUM
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
- 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
- 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