Anastasia Zhukova
Doctoral Researcher
BIOGRAPHY
Anastasia has completed her Engineering degree (Diploma in Information Technology) at Moscow Aviation Institute (National Research University) and proceeded with her Master’s studies at the University of Konstanz with a focus on Machine Learning and Natural Language Processing. She compiled her master’s thesis on the topic of Automated Identification of Framing by Word Choice and Labeling to Reveal Media Bias in News Articles.
RESEARCH INTERESTS
Anastasia’s research interests focus on two projects: identifying media bias and developing an AI assistant for plant operations. The first project is interdisciplinary research that applies cross-document coreference resolution to resolve mentions with high lexical diversity to automatically identify media bias by word choice and labeling. The second project is an industry project focusing on the domain adaptation of language models, information retrieval and information extraction in the low resource setup.
Anastasia’s prime interest lies in the areas of
- Applied Natural Language Processing
- Framing analysis and media bias
- Cross-document coreference resolution
- Domain adaptation of language models
- NLP for the low-resource languages, e.g., German
- Information visualization
If you would like to collaborate in the areas of text data analysis, feel free to contact me via email.
SHORT CV
07/2023 – present
Doctoral Researcher
Chair for Scientific Information Analytics, University of Göttingen, Germany
04/2019 – 06/2023
Doctoral Researcher
Chair for Data & Knowledge Engineering, University of Wuppertal, Germany
10/2015 – 03/2019
Computer and Information Science, M.Sc.
University of Konstanz, Konstanz, Germany
02/2018 – 07/2018
Visiting Researcher
National Institute of Informatics (NII), Tokyo, Japan
03/2016 – 01/2018
Research Assistant & Working Student
University of Konstanz & KNIME, Konstanz, Germany
07/2014 – 09/2015
Senior Analyst
Renaissance Credit Bank, Moscow, Russia
09/2008 – 03/2014
Information Technology, M.Eng.
Moscow Aviation Institute (National Research University), Moscow, Russia
SELECTED PUBLICATIONS
- 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
PDF - Automated Identification of Media Bias by Word Choice and Labeling in News Articles
F. Hamborg, A. Zhukova, and B. Gipp
in Proceedings of the ACM/IEEE Joint Conference on Digital Libraries (JCDL), 2019.
PDF - Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons
A. Zhukova, F. Hamborg, K. Donnay, and B. Gipp, in Proceedings of the iConference 2021, 2021.
PDF - XCoref: Cross-document Coreference Resolution in the Wild
A. Zhukova, F. Hamborg, K. Donnay, and B. Gipp,
in Proceedings of the iConference 2022, 2022.
PDF - Towards Evaluation of Cross-document Coreference Resolution Models Using Datasets with Diverse Annotation Schemes
A. Zhukova, F. Hamborg, and B. Gipp
in Proceedings of the 13th Language Resources and Evaluation Conference, 2022.
PDF
MEDIA COVERAGE
Federal Funding Approved for AI Research Collaboration with eschbach
We are thrilled to announce that the Federal Ministry for Economic Affairs and Climate Action has approved funding for a 30-month collaborative research project with our longstanding industry partner, eschbach, under the Central Innovation Program for Small and Medium-sized Enterprises [...]
Collaborative AI project with our industry partner eschbach wins Best of Industry Award
The Smart Search functionality our group helped to devise and integrate into the flagship product of our longstanding industry partner eschbach won the Best of Industry Award 2023 in the Artificial Intelligence category. Smart Search is integrated into Shiftconnector—eschbach's enterprise [...]
Anastasia Zhukova wins Women’s STEM Award 2019
Anastasia Zhukova won the international competition for the Women’s STEM Award 2019 (prize money 3,000 EUR) for her master’s thesis compiled in our group.The thesis titled“Automated Identification of Framing by Word Choice and Labeling to Reveal Media Bias in News Articles”is available for download.German [...]