Neural Nets for NLP 2019 - Models of Dialog

Neural Nets for NLP 2019 - Models of Dialog

Explore models of dialog in this comprehensive lecture from CMU's Neural Networks for NLP course. Delve into chat-based and task-based dialog systems, covering generation-based models, neural approaches for response generation, and techniques to improve global coherence. Examine methods for addressing diversity in evaluation, infusing personality into dialog agents, and implementing retrieval-based chat systems. Learn about traditional task-completion dialog frameworks and how neural networks can be applied to natural language understanding, dialog state tracking, and language generation from dialog states. Gain insights into cutting-edge research and practical applications in the field of conversational AI.