This is the new version of the course for the '20/21 Fall semester. You can have a look at last year's version for old slides and more information.
This course presents 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. All required deep learning concepts will be explained, but only briefly, so some machine learning background is recommended.
The course will be taught in English, but we're happy to explain in Czech as well.
The course will be taught online over Zoom, given the current pandemic. All lectures will be recorded so you can catch up later.
The preliminary schedule (subject to change) is the following:
Lectures: Tue 10:40
Labs: Tue 9:50 (not every week, starting in the 2nd week)
All enrolled students will get a Zoom link via email. If you want to take part and haven't officialy enrolled
To successfully finish this course, you'll need to:
Slides and videos from past lectures will appear here (if all students agree, otherwise video links will be shared with students privately).
Lab assignmentswill appear in the dedicated GitLab repository (link coming soon).