Teaching

Bachelor

1. Derivative-free Optimization for Sequence-to-Sequence Models, 2020
   Supervised by Stefan Riezler and Artem Sokolov
2. Parsing of Open Street queries with the Transformer model, 2019
   Supervised by Stefan Riezler and Artem Sokolov
3. Cold-Start Reinforcement Learning For Neural Machine Translation, 2019
   Supervised by Stefan Riezler and Vivi Nastase
4. Curriculum Learning für Neural Machine Translation, 2019
   Supervised by Stefan Riezler and Anette Frank
5. Dialogue Management: Improving Task-Oriented Conversational Agents with Deep Learning, 2019
   Supervised by Stefan Riezler and Vivi Nastase
6. Parsing NLmaps queries using Adversarial Neural Machine Translation, 2018
   Supervised by Stefan Riezler and Artem Sokolov
7. Low Resource Translation for Middle Egyptian, 2018
   Supervised by Stefan Riezler and Ines Rehbein
8. Anonymization of German Medical Admission Notes, 2018
   Supervised by Stefan Riezler and Vivi Nastase
9. Deterministic Annealing for Minimum Risk Neural Machine Translation, 2018
   Supervised by Stefan Riezler and Vivi Nastase
10. Open-Domain Semantic Parsing for Digital Assistants Using Dynamic Slot Filling, 2017
    Supervised by Stefan Riezler and Vivi Nastase
11. Feedback-based Machine Translation with LinUCB, 2017
    Supervised by Stefan Riezler and Artem Sokolov
12. Estimierung von Alter und Geschlecht auf Basis deutscher Textdaten aus Internetforen, 2016
    Supervised by Stefan Riezler and Anette Frank
13. Ensemble Learning for Machine Translation Quality Estimation, 2016
    Supervised by Stefan Riezler and Artem Sokolov
14. Multimodal Pivots for Statistical Machine Translation, 2015
    Supervised by Stefan Riezler and Artem Sokolov
15. Informationsextraktion aus klinischen Texten, 2015
    Supervised by Stefan Riezler and Petra Knaup-Gregori

Master

1. Improving Date Selection in Timeline Summarization, 2020
   Supervised by Katja Markert and Stefan Riezler
2. Towards Error-Aware Interactive Semantic Parsing, 2020
   Supervised by Stefan Riezler and Artem Sokolov
3. Graph Based Representation and Law Prediction for German Court Decisions, 2020
   Supervised by Stefan Riezler and Michael Gertz
4. Neural Methods for Metaphor and Metonymy Recognition, 2020
   Supervised by Katja Markert and Stefan Riezler
5. Unsupervised Sentence Summarization using Metropolis-Hastings Algorithm, 2019
   Supervised by Katja Markert and Stefan Riezler
6. Automatic Proficiency Scoring for Young Second Language Learners, 2019
   Supervised by Stefan Riezler and Vivi Nastase
7. Zeroth-Order Bandit Learning for Structured Prediction, 2019
   Supervised by Stefan Riezler and Artem Sokolov
8. Learning to Learn Competitive Neural Machine Translation Models using Evolution Strategies, 2018
   Supervised by Stefan Riezler and Katja Markert
9. Automatische Spracherkennung in der logopädischen Diagnostik, 2017
   Supervised by Stefan Riezler and Katja Markert
10. SAGA with Perturbations, 2017
    Supervised by Stefan Riezler and Artem Sokolov
11. Quality Estimation and Automatic Post-Editing in a Multi-Task Learning Framework, 2017
    Supervised by Stefan Riezler and Katja Markert
12. Quality Estimation from Scratch, 2016
    Supervised by Stefan Riezler and Artem Sokolov
13. Statistical Machine Translation for Alignments between Images and Captions, 2016
    Supervised by Stefan Riezler and Yannick Versley
14. Supervised Classification of Painting Descriptions, 2015
    Supervised by Stefan Riezler and Karin Haenelt