M.Sc. Kathrin Donandt

M.Sc.Wissenschaftlicher Mitarbeiterin

Kontakt

Bundesanstalt für Wasserbau
Abteilung Wasserbau im Binnenbereich
Kußmaulstraße 17
76187 Karlsruhe
Tel.: +49 721 9726-3740
E-Mail: ‌ kathrin.donandt[at]baw.de

Lebenslauf

  • Aktuelle Position
    Wissenschaftliche Mitarbeiterin
     
  • Tätigkeit
    Mitarbeit im Projekt SixDoF+AIS, einem Kooperationsprojekt zwischen der Universität Duisburg-Essen und der Bundesanstalt für Wasserbau
     
  • Vorige Positionen
    2019-2020           Informatikerin
    2017-2019           Wissenschaftliche Mitarbeiterin
     
  • Ausbildung
    2015-2017           M.Sc Informatik
    2012-2015           B.Sc Informatik
    2011-2014           B.A Politikwissenschaft

Publikationen

Conference Papers (peer-review)

  • Chiarcos, C., Donandt, K., Sargsian, H., Ionov, M. and Wichers-Schreur, J.
    Towards LLOD-based Language Contact Studies. A Case Study in Interoperability,
    Proc. of the 6th Workshop on Linked Data in Linguistics (LDL-2018): Towards Linguistic Data Science. European Language Resources Association (ELRA), Paris, France, Miyazaki, Japan, May 2018.
  • Chiarcos, C., Donandt, K., Ionov, M., Rind-Pawlowski, M., Sargsian, H., Wichers-Schreur, J., Abromeit, F. and Fäth, C.
    Universal Morphologies for the Caucasus region“,
    Proc. Of the 11th International Conference on Language Resources and Evaluation (LREC 2018). European Language Resources Association (ELRA), Paris, France, Miyazaki, Japan, May 2018.
  • Donandt, K., Chiarcos C. and Ionov M.
    Using Machine Learning for Translation Inference Across Dictionaries
    In: John P. McCrae, Francis Bond, Paul Buitelaar, Philipp Cimiano, Thierry Declerck, Jorge Gracia, Ilan Kernerman, Elena Montiel Ponsoda, Noam Ordan, and Maciej Piasecki (eds.)
    LDK Workshops 2017. Proceedings of the Shared Task on Translation Inference Across Dictionaries (TIAD 2017), held in conjunction with the First International Conference on Language, Data and Knowledge (LDK-2017). Galway, Ireland, June 2017, 103-112. 
  • Schenk, N., Chiarcos C., Donandt, K., Rönnqvist S., Stepanov, E. and Riccardi, G.
    Do We Really Need All Those Rich Linguistic Features? A Neural Network-Based Approach to Implicit Sense Labeling,
    Proc. of the CoNLL-16 shared task on Multilingual Shallow Discourse Parsing, held in conjunction with ACL-2016. Association for Computational Linguistics, Berlin, Germany, August 2016 (DOI: 10.18653/v1/K16-2005), 41-49. 

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