About me:
I am a Ph.D. student in Computer Science at the University of Vienna, supervised by Prof. Benjamin Roth. My research interests are machine learning (ML) and Natural Language Processing (NLP). I currently work on weak supervision methods for NLP tasks, especcially sequence labeling. I am also interested in multimodal methods combining text and images.
Previously, I was a research assistant in the EXTREMUM Project and member of the Data Science Group at Stockholm University, Sweden. I received my M.Sc. degree in Computer Science from Athens University of Economics and Business in 2019. I am a research assistant and member of the Natural Language Processing Group at Athens University of Economics and Business, Greece.
Email:
vasiliki.kougia [at] univie.ac.at
Education:
- 2018-2019: M.Sc. in Computer Science. Athens University of Economics and Business, Greece. Thesis: Medical image labeling and report generation
- 2012-2018: B.Sc. in Informatics. Athens University of Economics and Business, Greece.
Teaching:
- Teaching assistant, Modern NLP reading group, Stockholm University, Spring 2020.
- Teaching assistant in the Practical Data Science course of M.Sc. in Data Science, Athens University of Economics and Business, Fall 2019 and 2020.
- Teaching assistant in the Natural Language Processing course of M.Sc. in Computer Science, Athens University of Economics and Business, Spring 2020.
- Teaching assistant in the Text Analytics course of M.Sc. in Data Science, Athens University of Economics and Business, Spring 2020.
Publications:
- J. Pavlopoulos, V. Kougia, I. Androutsopoulos and D. Papamichail. Diagnostic Captioning: A Survey. Preprint arXiv:2101.07299, 2021. To be published in KAIS.
- V. Kougia and J. Pavlopoulos. Multimodal or Text? Retrieval or BERT? Benchmarking Classifiers for the Shared Task on Hateful Memes. In Proceedings of the 5th Workshop on Online Abuse and Harms (WOAH 2021), page 220–225, held on-line, 2021.
- V. Kougia, J. Pavlopoulos, P. Papapetrou, and M. Gordon. RTEx: A novel framework for Ranking, Tagging, and Explanatory diagnostic captioning of radiography exams. Journal of the American Medical Informatics Association, 2021.
- V. Kougia, J. Pavlopoulos, and I. Androutsopoulos. Medical image tagging by deep learning and retrieval. In CLEF 2020: Experimental IR Meets Multilinguality, Multimodality, and Interaction, Best of CLEF 2019 labs, part of the Lecture Notes in Computer Science book series, Springer, pages 154–166, held on-line, 2020.
- B. Karatzas, J. Pavlopoulos, V. Kougia, and I. Androutsopoulos. AUEB NLP Group at ImageCLEFmed Caption 2020. In CLEF2020 Working Notes. CEUR Workshop Proceedings, held on-line, 2020.
- V. Kougia, J. Pavlopoulos, and I. Androutsopoulos. AUEB NLP Group at Image-CLEFmed Caption 2019. In CLEF2019 Working Notes. CEUR Workshop Proceedings, Lugano, Switzerland, 2019.
- V. Kougia, J. Pavlopoulos, and I. Androutsopoulos. A Survey on Biomedical Image Captioning. In Workshop on Shortcomings in Vision and Language of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, pages 26–36, Minneapolis, MN, USA, 2019.