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Last update: doc. Mgr. Barbora Vidová Hladká, Ph.D. (25.04.2019)
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Last update: doc. Mgr. Barbora Vidová Hladká, Ph.D. (25.04.2019)
The course aims to give a general overview of dialogue systems and explain the basic principles of their inner workings. |
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Last update: Mgr. et Mgr. Ondřej Dušek, Ph.D. (06.05.2019)
Passing the final exam (written test based on the contents of lectures), finishing lab session homeworks (implementation tasks from the field of dialogue systems). |
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Last update: Mgr. et Mgr. Ondřej Dušek, Ph.D. (10.05.2022)
Basic: Jurafsky & Martin: Speech & Language processing. 3rd ed. draft (chapter 23-26, especially 24). https://web.stanford.edu/~jurafsky/slp3/
Further reading: McTear: Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Morgan & Claypool 2021. Jokinen & McTear: Spoken dialogue systems. Morgan & Claypool 2010. Rieser & Lemon: Reinforcement learning for adaptive dialogue systems. Springer 2011. McTear: Spoken Dialogue Technology. Springer 2004. McTear et al.: The Conversational Interface: Talking to Smart Devices. Springer 2016. Gao et al.: Neural Approaches to Conversational AI: Question Answering, Task-oriented Dialogues and Social Chatbots. now publishers 2019. (arXiv:1809.08267) |
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Last update: Mgr. et Mgr. Ondřej Dušek, Ph.D. (16.03.2024)
1. Dialogue systems and artificial intelligence: introduction
2. Linguistic basics for dialogue processing
3. Data for dialogue systems, dialogue system evaluation
4. Language understanding
5. Dialogue state tracking
6. Dialogue management
7. Language generation
8. Question answering and voice assistants
9. Dialogue toolkits
10. Speech recognition
11. Speech synthesis
12. Chatbots (open-domain dialogue, chitchat)
** This course is also part of the inter-university programme prg.ai Minor. It pools the best of AI education in Prague to provide students with a deeper and broader insight into the field of artificial intelligence. More information is available at prg.ai/minor. |