Lena Hettinger, Dipl.-Math.
Science Manager
Chair of Data Science (Informatik X)
University of Würzburg
Campus Hubland Nord
Emil-Fischer-Straße 50
97074 Würzburg
Germany
Email: lena.hettinger[at]uni-wuerzburg.de
Phone: (+49 931) 31 - 89675
Office: Room 50.03.003 (Zentrum für Künstliche Intelligenz und Data Science (CAIDAS))
Office Hours: Mon - Thu 9.00 - 11.00
About me
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, followed by work 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 responsible for the administrative and scientific management of the newly established Data Science Chair. Since 2021 I am acting as deputy head of the Servicezentrum Informatik/CAIDAS (SIC).
Activities
- Local Chair ECMLPKDD 2019
- Women's Representative for the Institute of Computer Science at the University of Würzburg (2013-2015)
Publications
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“LM4KG: Improving Common Sense Knowledge Graphs with Language Models”, in International Semantic Web Conference, Springer.(2020)
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“Evaluation of post-hoc XAI approaches through synthetic tabular data”, International Symposium on Methodologies for Intelligent Systems.(2020)
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“HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis”, in 5th SwissText & 16th KONVENS Joint Conference.(2020)
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“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, Bonn: Gesellschaft für Informatik e.V., 191–204.(2019)
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“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)
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“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, Hof, Germany: ACM, 143–152, available: https://doi.org/10.1145/3342220.3343650.(2019)
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“ClaiRE at SemEval-2018 Task 7 - Extended Version”, available: http://arxiv.org/abs/1804.05825.(2018)
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“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)
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“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)
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“Classification of Literary Subgenres”, in DHd 2016.(2016)
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“Analyzing Features for the Detection of Happy Endings in German Novels”, available: http://arxiv.org/abs/1611.09028.(2016)
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“Significance Testing for the Classification of Literary Subgenres”, in DH 2016.(2016)
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“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)
Teaching
WS 2018/19: Ausgewählte Themen des Machine Learning (seminar)
SS 2018: Ausgewählte Themen des Machine Learning (seminar)
WS 2015/16: Ausgewählte Themen des Web 2.0 (seminar)
WS 2015/16: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2015: Ausgewählte Themen des Web 2.0 (seminar)
WS 2014/15: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2014: Ausgewählte Themen des Web 2.0 (seminar)
WS 2013/14: Ausgewählte Themen des Web 2.0 (seminar)
WS 2013/14: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)
SS 2013: Ausgewählte Themen des Web 2.0 (seminar)
WS 2012/13: Ausgewählte Themen des Web 2.0 (seminar)
WS 2012/13: Algorithmen und Datenstrukturen für WiInf und MCS (tutorials)