Chair of Computational Linguistics

Prof. Dr. Katja Markert

Contact Details

Institut für Computerlinguistik,
Universität Heidelberg
Im Neuenheimer Feld 325
69120 Heidelberg, Germany

Office hours (currently online, please contact me by email for the link)	Wednesday, 10.00–11.00
Phone	+49 6221 54-3245 (Secretary)
E-mail	markertcl.uni-heidelberg.de

Research Interest

I am working in the areas of discourse, semantics, pragmatics and summarization. In the area of discourse I have long-standing interests in anaphora resolution beyond coreference, such as bridging and comparative anaphora. In semantics and pragmatics I concentrate on sentiment analysis and figurative language. Recent work in summarization focuses on the summarization of large document collections on long-running events, so-called timeline summarization.

I am always looking for new students to work on the above topics. Potential thesis topics for Bachelor and MA theses can be found under Thesis Topics.

Group Members, Collaborators and Projects

My group currently consists of:

• Esther Van den Berg, PhD Student
• Michael Wiegand, PostDoc
• Julius Steen, PhD student
• Philipp Wiesenbach, student assistant

I also work regularly with colleagues at the Natural Language Group at the Heidelberg Institute of Theoretical Studies as well as the L3S Web Science Research Centre at the University of Hanover.

I am co-director of the Leibniz-Science-Campus "Empirical Linguistics and Computational Language Modeling" where we concentrate on NLP models for the German language, in a joint project between Heidelberg University and the Institute for the German Language. I am PI on Area A, together with Prof. Dr Andreas Witt. The area focuses currently on German sentiment analysis and the detection of offensive language.

News and Openings

• New Publications at Coling 2020.
  --- Esther Van den Berg and Katja Markert: Context in Informational Bias Detection. This work has been conducted within the LiMo project.
  --- Arthur Neidlein, Philipp Wiesenbach and Katja Markert: An Analysis of Language Models for Metaphor Recognition.
• New Publication at ACL 2020!
  Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova and Katja Markert: Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction. In: Proceedings of the 58th annual meeting of the Association for Computational linguistics, 2020.