Deutsch Intern
    Data Science Chair

    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

    2020[ to top ]
    • Evaluation of post-hoc XA...
      Tritscher, J., Ring, M., Schlör, D., Hettinger, L., and Hotho, A. (2020) Evaluation of post-hoc XAI approaches through synthetic tabular data, International Symposium on Methodologies for Intelligent Systems.
    • Omeliyanenko, J., Zehe, A., Hettinger, L., and Hotho, A. (2020) LM4KG: Improving Common Sense Knowledge Graphs with Language Models, in International Semantic Web Conference, Springer.
    • HarryMotions – Classify...
      Zehe, A., Arns, J., Hettinger, L., and Hotho, A. (2020) HarryMotions – Classifying Relationships in Harry Potter based on Emotion Analysis, in 5th SwissText & 16th KONVENS Joint Conference.
    2019[ to top ]
    • EClaiRE: Context Matters!...
      Hettinger, L., Zehe, A., Dallmann, A., and 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, Bonn: Gesellschaft für Informatik e.V., 191–204.
    • Team Xenophilius Lovegood...
      Zehe, A., Hettinger, L., Ernst, S., Hauptmann, C., and 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.
    • On the Right Track! Analy...
      Koopmann, T., Dallmann, A., Hettinger, L., Niebler, T., and 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, Hof, Germany: ACM, 143–152, available: https://doi.org/10.1145/3342220.3343650.
    2018[ to top ]
    • ClaiRE at SemEval-2018 Ta...
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., and Hotho, A. (2018) ClaiRE at SemEval-2018 Task 7 - Extended Version, available: http://arxiv.org/abs/1804.05825.
    • ClaiRE at SemEval-2018 Ta...
      Hettinger, L., Dallmann, A., Zehe, A., Niebler, T., and 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[ to top ]
    • Prediction of Happy Endin...
      Zehe, A., Becker, M., Hettinger, L., Hotho, A., Reger, I., and 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/.
    • Classification of Literar...
      Hettinger, L., Jannidis, F., Reger, I., and Hotho, A. (2016) Classification of Literary Subgenres, in DHd 2016.
    • Analyzing Features for th...
      Jannidis, F., Reger, I., Zehe, A., Becker, M., Hettinger, L., and Hotho, A. (2016) Analyzing Features for the Detection of Happy Endings in German Novels, available: http://arxiv.org/abs/1611.09028.
    • Significance Testing for ...
      Hettinger, L., Jannidis, F., Reger, I., and Hotho, A. (2016) Significance Testing for the Classification of Literary Subgenres, in DH 2016.
    2015[ to top ]
    • Genre classification on G...
      Hettinger, L., Becker, M., Reger, I., Jannidis, F., and 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.