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.
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 or discuss a possibility of working on a student project in the areas of data analysis, feel free to contact me via email.
TEACHING & PROJECTS
I am widely open for student projects in the areas of Natural Language Processing (NLP), especially applied to news analysis, cross-document coreference resolution, information extraction, text semantic similarity, and domain-adaption of language models. On the page with topics for B.Sc./M.Sc. theses, you could find some student projects, which I offer, based on my research. Please contact me if interested and let’s talk!