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

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

Master

  1. Automatic Proficiency Scoring for Young Second Language Learners, 2019
    Supervised by Stefan Riezler and Vivi Nastase
  2. Zeroth-Order Bandit Learning for Structured Prediction, 2019
    Supervised by Stefan Riezler and Artem Sokolov
  3. Learning to Learn Competitive Neural Machine Translation Models using Evolution Strategies, 2018
    Supervised by Stefan Riezler and Katja Markert
  4. Automatische Spracherkennung in der logopädischen Diagnostik, 2017
    Supervised by Stefan Riezler and Katja Markert
  5. SAGA with Perturbations, 2017
    Supervised by Stefan Riezler and Artem Sokolov
  6. Quality Estimation and Automatic Post-Editing in a Multi-Task Learning Framework, 2017
    Supervised by Stefan Riezler and Katja Markert
  7. Quality Estimation from Scratch, 2016
    Supervised by Stefan Riezler and Artem Sokolov
  8. Statistical Machine Translation for Alignments between Images and Captions, 2016
    Supervised by Stefan Riezler and Yannick Versley
  9. Supervised Classification of Painting Descriptions, 2015
    Supervised by Stefan Riezler and Karin Haenelt