Conversational Agents

Explore the fundamentals of dialogue systems in this comprehensive lecture on conversational agents. Delve into key concepts including intent classification, named entity recognition, and the challenges faced in developing effective dialogue systems. Learn about deep reinforcement learning techniques applied to retrieval-based dialogue and revisit neural text generation principles. Examine crucial aspects such as ease of answering, information flow, and semantic coherence in conversational AI. Gain valuable insights into the complexities of creating intelligent, responsive dialogue systems through this in-depth exploration of the field.

Intro
Outline
What is a dialogue system?
Intent Classification & Named Entity Recognition (NER)
Challenges
DRL in retrieval-based Dialogue (cont'd)
Recall: Neural Text Generation
Ease of Answering
Information Flow
Semantic Coherence