Neural Nets for NLP 2018 - Models of Dialogue

Neural Nets for NLP 2018 - Models of Dialogue

Explore models of dialogue in this comprehensive lecture from CMU's Neural Nets for NLP 2018 course. Delve into various types of dialogue, generation-based models, and neural approaches for dialogue response generation. Learn about the importance of global coherence in dialogue and solutions like using standard architectures with more context. Examine discourse-level VAE models, diversity-promoting objectives, and methods for evaluating dialogue systems. Discover techniques for infusing personality into dialogue agents and explore retrieval-based chat systems. Gain insights into neural approaches for natural language understanding, slot filling, dialog state tracking, and language generation from dialog states.