Data Science Chair

    Jan Pfister, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Campus Hubland Nord
    Emil-Fischer-Straße 50
    97074 Würzburg

    Email: pfister[at]

    Phone: (+49 931)  31 - 81934

    Office: Room 50.03.020 (Institutsgebäude Künstliche Intelligenz)

    PGP Fingerprint: 9131 6BAF 85DE CFB3 AF89 86C9 568C 615A F18B C9C0

    Research Interests & Project

    I work in the field of Natural Language Processing (NLP) and in particular, I am interested in developing novel methods for understanding and extracting meaning from text. My work focuses on using large language models also in combination with pointer networks to capture the complexities of human language. I am currently working on applying these techniques to the task of aspect-based sentiment analysis, in order to extract fine-grained sentiment information from text.

    I joined the DMIR group for my PhD studies after receiving my master's degree in Computer Science at the University of Würzburg in 2021. In the MOTIV project, we are working with voice-based digital assistants like Alexa, with the goal of educating users about the potential negative effects of mindless interactions and misconceptions.


    - Seminar: Ausgewählte Themen des Machine Learning (SS + WS '21)

    - Lecture: Information Retrieval (SS '22)

    - Project: Machine Learning in Natural Language Processing (since '22)

    - Lecture: Text Mining (WS '23)


    2024[ to top ]
    • From Chat to Publication ...
      From Chat to Publication Management: Organizing your related work using BibSonomy & LLMs. Völker, Tom; Pfister, Jan; Koopmann, Tobias; Hotho, Andreas. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval, of CHIIR ’24, pp. 386–390. Association for Computing Machinery, <conf-loc>, <city>Sheffield</city>, <country>United Kingdom</country>, </conf-loc>, 2024.
    2023[ to top ]
    • Pointer Networks: A Unifi...
      Pointer Networks: A Unified Approach to Extracting German Opinions. Wunderle, Julia; Pfister, Jan; Hotho, Andreas. In Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), M. Georges, A. Herygers, A. Friedrich, B. Roth (eds.), pp. 127–138. Association for Computational Lingustics, Ingolstadt, Germany, 2023.
    • Zero-Shot Clickbait Spoil...
      Zero-Shot Clickbait Spoiling by Rephrasing Titles as Questions. Wangsadirdja, Dirk; Pfister, Jan; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023), pp. 1090–1095. Association for Computational Linguistics, Toronto, Canada, 2023.
    • Long-Term Effects of Perc...
      Long-Term Effects of Perceived Friendship with Intelligent Voice Assistants on Usage Behavior, User Experience, and Social Perceptions. Wienrich, Carolin; Carolus, Astrid; Markus, André; Augustin, Yannik; Pfister, Jan; Hotho, Andreas. In Computers, 12(4). 2023.
    • Optimizing Medical Servic...
      Optimizing Medical Service Request Processes through Language Modeling and Semantic Search. Schlör, Daniel; Pfister, Jan; Hotho, Andreas. In 2023 the 7th International Conference on Medical and Health Informatics (ICMHI), of ICMHI 2023, pp. 136–141. Association for Computing Machinery, Kyoto, Japan, 2023.
    • Higher-Order DeepTrails: ...
      Higher-Order DeepTrails: Unified Approach to *Trails. Koopmann, Tobias; Pfister, Jan; Markus, André; Carolus, Astrid; Wienrich, Carolin; Hotho, Andreas. In Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023, Vol. 3630 of CEUR Workshop Proceedings, M. Leyer, J. Wichmann (eds.), pp. 372–386., 2023.
    2022[ to top ]
    • Point me to your Opinion,...
      Point me to your Opinion, SenPoi. Pfister, Jan; Wankerl, Sebastian; Hotho, Andreas. In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pp. 1313–1323. Association for Computational Linguistics, Seattle, United States, 2022.
    2021[ to top ]
    • Self-Supervised Multi-Tas...
      Self-Supervised Multi-Task Pretraining Improves Image Aesthetic Assessment. Pfister, Jan; Kobs, Konstantin; Hotho, Andreas. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 816–825. 2021.
    2020[ to top ]
    • Emote-Controlled: Obtaini...
      Emote-Controlled: Obtaining Implicit Viewer Feedback through Emote based Sentiment Analysis on Comments of Popular Channels. Kobs, Konstantin; Zehe, Albin; Bernstetter, Armin; Chibane, Julian; Pfister, Jan; Tritscher, Julian; Hotho, Andreas. In ACM Transactions on Social Computing. 2020.