Dialogue Systems - Natural Language Processing with Transformer-based Models II - Day 5 Afternoon

Learn about dialogue systems and natural language processing with transformer-based models in this comprehensive tutorial-lecture delivered by Ondřej Dušek from Charles University in Prague at JSALT 2025. Explore advanced concepts in building conversational AI systems, understanding how transformer architectures can be applied to create effective dialogue systems. Discover the theoretical foundations and practical applications of NLP techniques specifically designed for dialogue generation, response selection, and conversational understanding. Examine state-of-the-art approaches to handling multi-turn conversations, context management, and dialogue state tracking using modern transformer models. Gain insights into the challenges and solutions in developing robust dialogue systems that can maintain coherent and contextually appropriate conversations across various domains and applications.