Stahlhut, Chris

Dr. rer. nat. Chris Stahlhut

Mitglied des Graduiertenkollegs KRITIS von 10/2016 bis 09/2019



FB 20: Informatik
Ubiquitous Knowledge Processing (UKP) Lab

Research interests

  • Argument Mining
  • Interactive Machine Learning
  • Large Scale Dataprocessing

PhD project

Interactive Machine Learning of Arguments and Argumentative Structures

Let’s say we want to see how the nuclear meltdown in Fukushima in 2011 and Chernobyl 1986 affected the political argumentation around nuclear energy and the following decisions. We might start by reading all political debates around the events, but that will only give us the immediate vicinity of the event and not the long term opinions and arguments and it is time and labour intensive. Extracting the arguments automatically seems to be a great idea, but there are no pretrained models for argument extraction on political texts available. This is where my PhD project starts. My goal is to take a machine learning model which has been trained to extract arguments from, say essays to let an exert user interactively improve this model so that it fits the experts purpose. Of course, I cannot assume the expert to have any knowledge about machine learning, hence I need to allow the human to teach in a way that humans find natural and machines can understand.

10/2010 – 03/2015 Master of Science in Informatics, University of Hamburg
10/2006 – 09/2010 Bachelor of Science in Informatics, University of Hamburg
10/2016 – 09/2019 Mitglied des Graduiertenkollegs KRITIS
PhD project in Interactive Argument Mining
12/2015 Research Assitant, UKP-Lab
05/2013 – 12/2013 Software Engineer, BLUEcARAT AG, Hamburg
03/2008 – 05/2013 Freelance Software Engineer
12/2006 – 05/2007 Software Engineer, Agil – mehr Internet K.G. Buchholz in der Nordheide
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