Abstract With a view to inform the design of a mentor-like synthetic agent that is to engage in a coherent and consistent in character conversation with human subjects, we conducted a data-driven analysis of verbal communication between fictional mentor and mentee characters in films. While in our earlier work the focus was on the conversation strategies of mentor characters, here we present the extended model, wherein conversation activity of both mentor and mentee characters is accounted for. To examine and to formalize local communication actions and extended goals that the two characters achieve jointly, categories of intents, projects and relationship phases were introduced. The resulting annotated corpus of mentor and mentee characters’ utterances was analyzed qualitatively and quantitatively. In furtherance of the automated in-character dialogue generation task, a range of the state-of-the-art approaches to automated utterances classification was evaluated.

中文翻译：

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模拟电影中的导师-学员对话

摘要 为了设计一个类似导师的合成代理，以便与人类主体进行连贯一致的角色对话，我们对电影中虚构导师和受训角色之间的口头交流进行了数据驱动分析。虽然在我们早期的工作中重点是导师角色的对话策略，但在这里我们提出了扩展模型，其中考虑了导师和受指导者角色的对话活动。为了检查和规范两个角色共同实现的本地沟通行动和扩展目标，引入了意图、项目和关系阶段的类别。定性和定量地分析了由此产生的导师和受训者角色话语的注释语料库。