Living the Novel: A System for Generating Self-Training Timeline-Aware Conversational Agents from Novels

This article describes a research paper on creating conversational AI agents that can learn from novels. The system focuses on self-training and understanding the timeline of events within the novel to improve the agent's conversational abilities. The use of novels as a training ground is an interesting approach, potentially allowing for rich and nuanced conversational models.

• •Focuses on self-training conversational agents.
• •Utilizes novels as a training data source.
• •Emphasizes timeline awareness for improved conversation.
• •Represents a novel approach to conversational AI development.