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: By appointment
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
2020
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Omeliyanenko, J., Zehe, A., Hettinger, L., Hotho, A. (2020) “LM4KG: Improving Common Sense Knowledge Graphs with Language Models”, in International Semantic Web Conference, Springer.[ BibTeX ]
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Zehe, A., Arns, J., Hettinger, L., Hotho, A. (2020) “HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis”, in 5th SwissText & 16th KONVENS Joint Conference.
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Tritscher, J., Ring, M., Schlör, D., Hettinger, L., Hotho, A. (2020) “Evaluation of post-hoc XAI approaches through synthetic tabular data”, International Symposium on Methodologies for Intelligent Systems.
2019
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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.
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Hettinger, L., Zehe, A., Dallmann, A., Hotho, A. (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.
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Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C., Hotho, A. (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.
2018
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Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A. (2018) “ClaiRE at SemEval-2018 Task 7 - Extended Version”, available: http://arxiv.org/abs/1804.05825.
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Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., Hotho, A. (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.
2016
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Jannidis, F., Reger, I., Zehe, A., Becker, M., Hettinger, L., Hotho, A. (2016) “Analyzing Features for the Detection of Happy Endings in German Novels”, available: http://arxiv.org/abs/1611.09028.
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Zehe, A., Becker, M., Hettinger, L., Hotho, A., Reger, I., Jannidis, F. (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/.
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Hettinger, L., Jannidis, F., Reger, I., Hotho, A. (2016) “Significance Testing for the Classification of Literary Subgenres”, in DH 2016.
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Hettinger, L., Jannidis, F., Reger, I., Hotho, A. (2016) “Classification of Literary Subgenres”, in DHd 2016.
2015
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Hettinger, L., Becker, M., Reger, I., Jannidis, F., Hotho, A. (2015) “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.
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)