Chair of Data Science (Informatik X)
University of Würzburg
Phone: (+49 931) 31 - 89675
Office: Room B113 (Computer Science Building M2)
Office Hours: By appointment
Natural Language Processing - Machine Learning - Digital Humanities
I have been part of the DMIR Research Group since I received my diploma degree in Mathematics in 2012 at the University of Würzburg. For the first two years I was mainly teaching, afterwards joining the Kallimachos* group to research genre distributions in German novels. In 2016/17 I was on maternal leave due to having twins.
At the moment I am working on transfer learning in the context of NLP to improve supervised tasks like semantic relation classification. I am interested in processing textual data to extend digital and human knowledge about language.
Since 2019 I am additionally responsible for the administrative and scientific management of the newly established Data Science Chair.
*Kallimachos: Center for digital edition and quantitative analysis at the University Library of Würzburg.
- Local Chair ECMLPKDD 2019
- Women's Representative for the Institute of Computer Science at the University of Würzburg (2013-2015)
“LM4KG: Improving Common Sense Knowledge Graphs with Language Models”, in International Semantic Web Conference, Springer.(2020)
“HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis”, in 5th SwissText & 16th KONVENS Joint Conference.(2020)
“Evaluation of post-hoc XAI approaches through synthetic tabular data”, International Symposium on Methodologies for Intelligent Systems.(2020)
“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.(2019)
“EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification”, in David, K., Geihs, K., Lange, M. and Stumme, G., eds., INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Gesellschaft für Informatik e.V.: Bonn, 191–204.(2019)
“Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks”, in Proceedings of The 13th International Workshop on Semantic Evaluation, Association for Computational Linguistics.(2019)
“ClaiRE at SemEval-2018 Task 7 - Extended Version”, available: http://arxiv.org/abs/1804.05825.(2018)
“ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings”, in Proceedings of International Workshop on Semantic Evaluation (SemEval-2018), New Orleans, LA, USA.(2018)
“Analyzing Features for the Detection of Happy Endings in German Novels”, available: http://arxiv.org/abs/1611.09028.(2016)
“Prediction of Happy Endings in German Novels”, in Cellier, P., Charnois, T., Hotho, A., Matwin, S., Moens, M.-F. and Toussaint, Y., eds., Proceedings of the Workshop on Interactions Between Data Mining and Natural Language Processing 2016, 9–16, available: http://ceur-ws.org/Vol-1646/.(2016)
“Significance Testing for the Classification of Literary Subgenres”, in DH 2016.(2016)
“Classification of Literary Subgenres”, in DHd 2016.(2016)
“Genre classification on German novels”, in Proceedings of the 12th International Workshop on Text-Based Information Retrieval, available: http://www.uni-weimar.de/medien/webis/events/tir-15/tir15-papers-final/Hettinger2015-tir-paper.pdf.(2015)
WS 2018/19: Ausgewählte Themen des Machine Learning (seminar)
SS 2018: Ausgewählte Themen des Machine Learning (seminar)