Chair of Data Science (Informatik X)
University of Würzburg
Phone: (+49 931) 31 - 89363
Office: Room 0.007 (Building M4)
Fingerprint: CBC7 EACE BBF3 8CF8 EB3F 3478 A5FB FAA7 8F34 AD4E
I joined the DMIR group for my PhD studies after receiving my masters degree in Computer Science at the university of Würzburg in early 2019. At first, i was working on click trail analysis and human behavior prediction in the web based on Wikipedia click trails.
Currently i am employed at the REGIO project. My contribution in the project is to analyse locally successful research cooperations based on different properties of the co-author network. For this we leverage the Bayesian approach HypTrails and apply it on graph- structured data. Additionally I am interested in state-of-the-art NLP research.
Winter term 18/19:
Summer term 19:
Summer term 20:
Winter term 20/21:
Kobs, K., Koopmann, T., Zehe, A., Fernes, D., Krop, P., Hotho, A. (2020) “Where to Submit Helping Researchers to Choose the Right Venue”, in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, Association for Computational Linguistics: Online, 878–883, available: https://www.aclweb.org/anthology/2020.findings-emnlp.78.
Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., Hotho, A. (2019) “On the Right Track! Analysing and Predicting Navigation Success in Wikipedia”, in Proceedings of the 30th ACM Conference on Hypertext and Social Media, HT ’19, ACM: Hof, Germany, 143–152, available: http://doi.acm.org/10.1145/3342220.3343650.