Viktor Schlegel

AI Reseacher with ASUS AICS, Honorary Lecturer with University of Manchester

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Hi, I am Viktor, AI researcher. My research interests lie in approaches to natural language understanding, such as Large Language Models, and their application to various specialist domains, such as healthcare.

I am concerned with questions such as

  • How can we adapt generalist open-domain AI solutions to specific domains with their requirements?
  • How can we robustly evaluate the domain adaptation capabilities of those generalist approaches?
  • How representative are NLP benchmarks of real-world application scenarios?

Currently, I am based in Singapore where I work with ASUS AICS on next-generation AI-first hospital information systems. Prior to that, I was a lecturer at the University of Manchester. There, I also obtained my PhD in Computer Science, supervised by Dr Riza-Batista Navarro and Prof. Goran Nenadic. Prior to my PhD, I obtained my B.Sc. and M.Sc. in Computer Science at the University of Passau and I worked at Siemens ProductCERT in Munich.

selected publications

2023

  1. Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
    Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
    In ACL, 2023

2022

  1. WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
    Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
    In ACL, 2022
  2. Can Transformers Reason in Fragments of Natural Language?
    Viktor Schlegel, Kamen V Pavlov, Ian Pratt-Hartmann
    In EMNLP, 2022

2021

  1. Semantics Altering Modifications for Evaluating Comprehension in Machine Reading
    In AAAI, 2021