Dr. Simon Werner

research associate

Study Advisor: Sprache, Technologie, Medien (Language, Technology, Media) + focus Artificial Intelligence and Computational Linguistics and Natural Language Processing

Current research:

Research interests:

  • Knowledge Graph Embeddings
  • Temporal Knowledge Graphs
  • Hypergraphs
  • Contextualized Embeddings
  • Natural Language Processing
  • Representation Learning
  • Explainable AI

Publications:

  • Simon Werner:
    Deep Learning for Dynamic Representations of Real-World Entities
    (Dissertation 2024)
    Download: pdf
  • Simon Werner, Katharina Christ, Laura Bernardy, Marion G. Müller, Achim Rettinger:
    POV Learning: Individual Alignment of Multimodal Models using Human Perception
    (Arxiv Preprint 2024)
    Download: via arXiv, Dataset via GitHub
  • Simon Werner, Achim Rettinger, Lavdim Halilaj and Jürgen Lüttin:
    RETRA: Recurrent Transformers for Learning Temporally Contextualized Knowledge Graph Embeddings
    (ESWC 2021)
    Download: PDF, Dataset via Github
  • Simon Werner, Achim Rettinger, Lavdim Halilaj and Jürgen Lüttin:
    Embedding Taxonomical, Situational or Sequential Knowledge Graph Context for Recommendation Tasks
    (Semantics 2021)
    Download: PDF, Dataset via Github