Annemarie Friedrich


E-Mail: firstname dot lastname @ informatik dot uni minus augsburg dot de

Photo: © University of Augsburg

About me

I am a University Professor (tenured) for Natural Language Understanding (Computational Linguistics) at the Faculty of Applied Computer Science at the University of Augsburg. Find more about Human Language Technology in Augsburg here.

Before that, I was a Senior Expert working on Natural Language Processing and Computational Linguistics at the Bosch Center for Artificial Intelligence.

I am currently the vice president of the German Society for Computational Linguistics (GSCL), the scientific association in the German-speaking countries and regions for research, teaching and professional work in natural language processing.

Research Interests

  • Computational Syntax and Semantics
  • Discourse Processing
  • Text Mining / Information Extraction
  • Linguistic Annotation
  • Deep Learning

I am interested in understanding and modeling interactions at the syntax-semantics interface, taking into account influences of discourse and pragmatics. Most of my past research is about the computational modeling of aspect and genericity. More details here. I am currently also interested in text mining for scientific text, syntactic and semantic parsing, and uncertainty in the context of deep learning for NLP.


PhD Students

  • Valentin Knappich (2023-), document-level processing of patent text, co-supervised with Simon Razniewski (TU Dresden) and Anna Haetty (Bosch Center for Artificial Intelligence)
  • Timo Schrader (2023-), temporal processing of text, co-supervised with Lukas Lange and Simon Razniewski (Bosch Center for Artificial Intelligence)
  • Wei Zhou (2023-), document-level modeling of text, co-supervised with Heike Adel and Mohsen Mesgar (Bosch Center for Artificial Intelligence)
  • Jennifer Felser (2024-), topic modeling for applications in digital forensics, co-supervised with Michael Spranger (Hochschule Mittweida)

I also work(ed) very closely with the following PhD students:

  • Sophie Henning (2021-), Uncertainty Modeling for Deep Learning in NLP, co-supervised with Alexander Fraser (LMU Munich)
  • Stefan Grünewald (2019-2023), Syntactic Dependencies and Beyond: Robust Neural Architectures and Quality-Enhanced Corpora for Structured Prediction in NLP, co-supervised with Jonas Kuhn (University of Stuttgart)
  • Subhash Pujari Chandra (2019-2023), Neural Patent Classification beyond Title and Abstract: Leveraging Patent Text and Metadata, co-supervised with Michael Gertz (Heidelberg University) and Jannik Strötgen (FH Karlsruhe)