Betty started working at the DATEXIS team as a Research Assistant in 2018.

She graduated with a Master's degree in Media Informatics from the Beuth University of Applied Sciences in Berlin in 2017. During and after her studies she used to work as a Software Engineer. One of her focuses and the research topic of her master's thesis was the development of chatbot applications.

At DATEXIS Betty is currently working on the project NOHATE, funded by the Federal Ministry of Education and Research. The project aims to find solutions for the detection of Hatespeech in online discussions with the help of Deep Learning techniques.

Research Interests

  • Deep Learning
  • Text classification
  • Distributional semantics
  • Chatbots 


  • Sebastian Arnold, Betty van Aken, Paul Grundmann, Felix A. Gers and Alexander Löser. Learning Contextualized Document Representations for Healthcare Answer Retrieval. Accepted to The Web Conference 2020 (WWW'20) [PDF] [code].
  • Betty van Aken, Julian Risch, Ralf Krestel, Alexander Löser, “Challenges for Toxic Comment Classification: An In-Depth Error Analysis” 2nd Workshop on Abusive Language Online @ EMNLP 2018 [arXiv]


E-Mail: bvanaken (at)