Sebastian Arnold

Sebastian Arnold is a Visiting Professor at DATEXIS (Data Science and Text-based Information Systems) at Beuth University of Applied Sciences Berlin. He holds a PhD in Computer Science from Université de Fribourg (2020) and a Master's from Technische Universität Berlin (2014). His research focuses on NLP, machine learning, and healthcare informatics, with contributions to entity linking (TASTY), topic segmentation (SECTOR), and clinical answer retrieval systems.

Education:

• PhD, Computer Science - Université de Fribourg (2020)
• Master's, Computer Science - TU Berlin (2014)
• Bachelor's, Computer Science - TU Berlin (2011)

Research Interests:

• Neural document representations for machine reading
• Contextualized discourse vectors
• Topic classification and segmentation
• Healthcare answer retrieval systems
• Interactive entity linking (TASTY)

Key Projects:

• DATEXIS Lab: NLP and data science research
• TeXoo: Java framework for text analytics
• WikiSection dataset: Topic segmentation benchmark

Awards:

• Winner of the Faculty Prize 2021 in Theoretical Sciences (PhD Thesis)