Dr. Felix Hamborg
Senior Researcher for Natural Language Processing and Machine Learning
Recipient of the Carl-Zeiss Scholarship
RESEARCH INTERESTS
I love working with news articles and in general text documents. Specifically, my research focuses on the automated identification of media bias in news articles. My research interests are:
- Media bias and content analysis
- Text analysis
- Natural language processing (NLP)
- Information retrieval
I believe in open access and strive to release my research projects as soon as they are ready for the public. You can find them listed on the right or on GitHub.
TEACHING & PROJECTS
Most of the projects and theses that I supervise are concerned with text analysis and natural language processing. For information on possible projects just have a look at the News Analysis section in our list of project topics or drop me an email.
SELECTED PUBLICATIONS
Please click here for a list of my publications published with Prof. Gipp. For a full list of my publications, including patents, please refer to my profile on Google Scholar.
Publications that received an award or were nominated for one are listed below:
- Illegal Aliens or Undocumented Immigrants? Towards the Automated Identification of Bias by Word Choice and Labeling
F. Hamborg, A. Zhukova, and B. Gipp
in Proceedings of the iConference 2019, 2019.
( Best Short Paper Award Finalist PDF ) - Introducing MathQA: a Math-Aware question answering system
M. Schubotz, P. Scharpf, K. Dudhat, Y. Nagar, F. Hamborg, and B. Gipp
Information Discovery and Delivery, 2018.
( Outstanding Paper Award PDF ) - Giveme5W: Main Event Retrieval from News Articles by Extraction of the Five Journalistic W Questions
F. Hamborg, S. Lachnit, M. Schubotz, T. Hepp, and B. Gipp
in Proceedings of the iConference 2018, 2018
( Best Paper Award Finalist PDF ) - Matrix-based News Aggregation: Exploring Different News Perspectives
F. Hamborg, N. Meuschke, and B. Gipp
in Proceedings ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL), 2017
( Best Student Paper Award PDF )
MEDIA COVERAGE
Felix Hamborg defends his PhD Thesis with ‘summa cum laude’
We are delighted to announce that Felix Hamborg has successfully defended his PhD thesis titled “Towards Automated Frame Analysis: Natural Language Processing Techniques to Reveal Media Bias in News Articles” on January 31st. The research objective of this thesis was [...]
Article about Media Bias research in uni’kon
An article about our research on the automated identification of media bias appeared in uni'kon #68. For further information and contact information refer to Felix Hamborg's profile page or see here.
Best Student Paper Award at the JCDL 2017
Felix Hamborg and Norman Meuschke received the Best Student Paper Award for their paper Matrix-based News Aggregation: Exploring different News Perspectives; at the A* ranked Joint Conference on Digital Libraries (JCDL) 2017.
