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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.
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