This is the new version of the course for the '19/20 Fall semester.
This course will present advanced problems and current state-of-the-art in the field of dialogue systems, voice assistants, and conversational systems (chatbots). After a brief introduction into the topic, the course will focus mainly on the application of machine learning – especially deep learning/neural networks – in the individual components of the traditional dialogue system architecture as well as in end-to-end approaches (joining multiple components together).
This course is a follow-up to the course NPFL123 Dialogue Systems, but can be taken independently – important basics will be repeated.
The course will be taught in English, but we're happy to explain in Czech as well.
Lectures: Thu 10:40 S1 (room changed!)
Labs: Thu 14:00 SW1
(labs will primarily take place online & in groups, with a few meetings during the semester)
Slides from past lectures will appear here:
Lab assignments appear in the dedicated GitLab repository.
Check out the semester projects, mark your preferences until Oct 24. There will be a discussion lab session with Vojta on Oct 31, then a lab session presenting the project teams & plans with Ondřej on Nov 7.