Research Projects of the Dialog Systems and Machine Learning Working Group
A human can read a book and instantly be able to talk about what he or she has read. Machines, on the other hand, are very good in storing huge amount of information but not so good in sharing this information with humans in a natural and human-like way. The question we try to answer is how we enrich dialogue system knowledge using non-dialogue unstructured data and what is the adequate dialogue system architecture and features which are needed to support that.
- Duration: 01.12.2018 - 29.02.2024
- Value: 1.65M Euro
- People: Prof. Dr Milica Gasic, Dr Michael Heck, Dr Nurul Lubis, Carel van Niekerk and Shutong Feng
The dialogue systems currently deployed both in academia and in industry are typically built for fixed domains, requiring a new data set every time the domain changes. End-to-end methods attempting to solve this problem directly with open-domain chat-bots are far from reaching competitive results on goal-oriented tasks. The aim of this project is to tackle the most substantial obstacles on the way to intelligent conversational systems that can expand dynamically and span the problem of operating with dynamic knowledge, dynamic policies, rich user models and sophisticated measures of quality.
- Duration: 01.09.2019 - 31.05.2025
- Value: 1.5M Euro
- People: Prof. Dr Milica Gasic, Christian Geishauser and Hsien-Chin Lin