BIOGRAPHY

Anastasia has completed her Engineering degree (Diploma in Information Technology) in Moscow Aviation Institute (National Research University) and proceeded with her Master studies at the University of Konstanz with the 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 are focused around two projects: identification of media bias and developing an AI assistant for plant operations. The first project is an 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 that focuses on domain adaption of language models, information retrieval, information extraction, and summarization in low language resource setup of processing industry.

Anastasia’s prime interest lies in the areas of

• Applied Natural Language Processing
• Framing analysis and media bias
• Cross-document coreference resolution
• Domain adaption of language models
• Information visualization

If you would like to collaborate in the areas of text data analysis, feel free to contact me via email.

SHORT CV

04/2019 – present

Doctoral Researcher
University of Wuppertal and since 2022 at the University of Göttingen

02/2018 – 07/2018

Visiting Researcher
National Institute of Informatics (NII), Tokyo, Japan

10/2015 – 03/2019

Computer and Information Science, M.Sc.
University of Konstanz, Konstanz

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

1. 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
2. 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
3. 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
4. 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
5. 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