Lena Hettinger, Dipl.-Math.

Science Manager
Chair of Data Science (Informatik X)
University of Würzburg
Am Hubland
97074 Würzburg
Germany
Email: lena.hettinger[at]uni-wuerzburg.de
Phone: (+49 931) 31 - 89675
Office: Room B113 (Computer Science Building M2)
Office Hours: Monday 9.00 - 11.00, Wednesday 09.00 - 13.00
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 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.
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)
- [ BibTeX ]
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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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Evaluation of post-hoc XAI approaches through synthetic tabular data, International Symposium on Methodologies for Intelligent Systems.(2020)
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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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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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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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Analyzing Features for the Detection of Happy Endings in German Novels, available: http://arxiv.org/abs/1611.09028.(2016)
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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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Significance Testing for the Classification of Literary Subgenres, in DH 2016.(2016)
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Classification of Literary Subgenres, in DHd 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)