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Dialog Systems and Machine Learning


The Dialog System and Machine Learning Group conducts fundamental research in natural language processing and related areas of machine learning, with a view towards the development of the next generation of intelligent
conversational agents.  This research is currently centred around the following key problems:

  • 1. Knowledge Extraction
    Traditionally, research into dialogue systems has assumed that the knowledge with which a dialogue system operates is provided a priori.  How can we build systems that harvest their knowledge from non-structured natural language data?
  • 2. Dynamic dialogue policies
    How can we build ever-learning dialogue systems that can converse about dynamically acquired knowledge?
  • 3. User modelling
    How can we increase the  accuracy and coverage of user models in this user-centric technology?
  • 4. Reward modelling
    Can we include more nuanced measures such as intrinsic motivation, curiosity and sentiment to make dialogue systems more human-like?


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Office Adress

Group Dialog Systems and Machine Learning
Building 25.12 Level 01
Universitätsstraße 1
40225 Düsseldorf

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