This advanced academic course in natural language understanding and dialogue systems is designed to provide a comprehensive overview of the key concepts, methods, and technologies that underpin modern approaches to natural language processing and conversational agents. The goal of the course is to explore and explain how neural language models are used for dialogue systems.
The course covers the subject starting from the structure and function of existing dialogue systems, delving into natural language understanding tasks such as intent recognition and slot filling, followed by exploring conversational applications such as question answering, and finally exploring recent developments – ChatGPT and issues of cross-lingual and multimodal NLU.