2019

  1. Can Graph Neural Networks Go “Online”? An Analysis of Pretraining and Inference Galke, Lukas, Vagliano, Iacopo, and Scherp, Ansgar In Representation Learning on Graphs and Manifolds, ICLR Workshop 2019 [Abs] [arXiv] [PDF] [Poster] [Code]
  2. CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model Mai, Florian, Galke, Lukas, and Scherp, Ansgar In International Conference on Learning Representations 2019 [Abs] [arXiv] [PDF] [Code]
  3. Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution Galke, Lukas, Melnychuk, Tetyana, Seidlmayer, Eva, Trog, Steffen, Foerstner, Konrad U., Schultz, Carsten, and Tochtermann, Klaus In INFORMATIK 2019 [Abs] [Code]
  4. What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function? Galke, Lukas, Mai, Florian, and Scherp, Ansgar In INFORMATIK 2019 [Abs]

2018

  1. Performance Comparison of Ad-Hoc Retrieval Models over Full-Text vs. Titles of Documents Saleh, Ahmed, Beck, Tilman, Galke, Lukas, and Scherp, Ansgar In Maturity and Innovation in Digital Libraries 2018 [Abs] [Slides]
  2. Using Adversarial Autoencoders for Multi-Modal Automatic Playlist Continuation Vagliano, Iacopo, Galke, Lukas, Mai, Florian, and Scherp, Ansgar In Proceedings of the ACM Recommender Systems Challenge 2018 [Abs] [Slides] [Code]
  3. A Case Study of Closed-Domain Response Suggestion with Limited Training Data Galke, Lukas, Gerstenkorn, Gunnar, and Scherp, Ansgar In Database and Expert Systems Applications 2018 [Abs] [PDF] [Slides] [Code]
  4. Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels Galke, Lukas, Mai, Florian, Vagliano, Iacopo, and Scherp, Ansgar In Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization 2018 [Abs] [PDF] [Slides] [Code]
  5. Linked Open Citation Database: Enabling Libraries to Contribute to an Open and Interconnected Citation Graph Lauscher, Anne, Eckert, Kai, Galke, Lukas, Scherp, Ansgar, Rizvi, Syed Tahseen Raza, Ahmed, Sheraz, Dengel, Andreas, Zumstein, Philipp, and Klein, Annette In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries 2018 [Abs]
  6. Using Deep Learning for Title-Based Semantic Subject Indexing to Reach Competitive Performance to Full-Text Mai, Florian, Galke, Lukas, and Scherp, Ansgar In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries 2018 [Abs] [Slides] [Code]

2017

  1. Using Titles vs. Full-text As Source for Automated Semantic Document Annotation Galke, Lukas, Mai, Florian, Schelten, Alan, Brunsch, Dennis, and Scherp, Ansgar In Proceedings of the Knowledge Capture Conference 2017 [Abs] [arXiv] [PDF] [Slides] [Code]
  2. Word Embeddings for Practical Information Retrieval Galke, Lukas, Saleh, Ahmed, and Scherp, Ansgar In INFORMATIK 2017 [Abs] [PDF] [Slides] [Code]
  3. Embedded Retrieval – Word Embeddings for Practical Information Retrieval Galke, Lukas 2017 [Abs] [PDF] [Code]