Lukas Galke

Open Science
T: +49-431-8814-650
Düsternbrooker Weg 120
24105 Kiel


  • Research assistant

Key activities

  • Text Mining
  • Representation Learning
  • Generative Models

Professional background

  • 2009-2013
    Bachelor of Science, Computer Science, CAU Kiel (B.Sc.)
  • 2013-2017
    Master of Science, Computer Science, CAU Kiel (M.Sc.)
  • since 2017
    Research assistant at the ZBW

Other professional activities

  • 2014 and 2015
    Research assistant, Research Group for Communication Systems, Dept. of Computer Science, CAU Kiel
  • 2014-2016
    Research assistant, Institute of Human Nutrition, CAU Kiel
  • 2016-2017
    Research assistant, Knowledge Discovery, ZBW


Conference Papers (peer reviewed)

Vagliano, Iacopo / Galke, Lukas / Mai, Florian / Scherp, Ansgar
Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation
In: RecSys Challenge '18 Proceedings of the ACM Recommender Systems Challenge 2018, Vancouver, BC, Canada, October 07, 2018 New York, NY: ACM, 2018, pp. (Article no. 5), doi:10.1145/3267471.3267476 Link to fulltext (PDF)
Mai, Florian / Galke, Lukas / Scherp, Ansgar
Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text
In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries New York: ACM Press, 2018, pp. 169-178, doi:10.1145/3197026.3197039 Link to fulltext (PDF)
Lauscher, Anne / Eckert, Kai / Galke, Lukas / Scherp, Ansgar / Rizvi, Syed Tahseen Raza / Ahmed, Sheraz / Dengel, Andreas / Zumstein, Philipp / Klein, Annette
Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph
In: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries New York: ACM Press, 2018, pp. 109-118, doi:10.1145/3197026.3197050 Link to fulltext (PDF)
Galke, Lukas / Mai, Florian / Vagliano, Iacopo / Scherp, Ansgar
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels
In: Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization New York: ACM Press, 2018, pp. 197-205, doi:10.1145/3209219.3209236 Link to fulltext (PDF)
Galke, Lukas / Saleh, Ahmed / Scherp, Ansgar
Evaluating the impact of word embeddings on similarity scoring in practical information retrieval
In: Proceedings of Informatik 2017, 47. Jahrestagung der Gesellschaft für Informatik e.V. (GI) Bonn: Gesellschaft für Informatik e.V. (GI), 2017,, doi:10.18420/in2017_215 Link to fulltext (PDF)
Galke, Lukas / Mai, Florian / Schelten, Alan / Brunsch, Dennis / Scherp, Ansgar
Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
In: K-CAP 2017: Proceedings of the Knowledge Capture Conference, Article No. 20, Austin, TX, USA — December 04 - 06, 2017 New York, NY: ACM, 2017,, doi:10.1145/3148011.3148039 Link to fulltext (PDF)

Further publications

  • Deliverable 3.1: Technologies for MOVING Dataprocessing and Visualisation
    (with T. Blume, F. Böschen, A. Saleh, A. Scherp, M. Schulte-Althoff, C. Collyda, et al. )
    MOVING, 2017.
  • Comparing Titles Vs. Full-Text for Multi-Label Classification of Scientific Papers and News Articles
    (with Florian Mai, Alan Schelten, Dennis Brunsch, und Ansgar Scherp)
    CoRR abs/1705.05311, 2017.