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Annotation of Tutorial Dialogue Goals for Natural Language Generation

机译:自然语言生成教程对话目标的诠释

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摘要

We annotated transcripts of human tutoring dialogue for the purpose of constructing a dialogue-based intelligent tutoring system, CIRCSIM-Tutor. The tutors were professors of physiology who were also expert tutors. The students were 1st year medical students who communicated with the tutors using typed communication from separate rooms. The tutors made use of a rich variety of strategies, some specific to particular content areas and others more general, such as showing that the student holds contradictory beliefs about the domain. In this article, we describe our model of hierarchical goal structure for tutorial dialogues. We catalog each major pedagogical method we found in the dialogues, showing its structure and illustrating the features needed to represent each subgoal in its correct narrative and interpersonal context. We compare our goal structure with other analyses of tutorial dialogues.
机译:我们注释了人类补习对话的笔录,目的是构建基于对话的智能补习系统CIRCSIM-Tutor。导师是生理学教授,他们也是专业导师。这些学生是一年级医学生,他们在不同的房间里使用打字交流与导师进行交流。导师使用了多种策略,其中一些策略特定于特定的内容领域,而另一些策略则更为笼统,例如表明学生对领域抱有矛盾的信念。在本文中,我们描述了用于教程对话的分层目标结构模型。我们对在对话中发现的每种主要教学方法进行分类,显示其结构并说明在正确的叙述和人际关系中代表每个子目标所需的功能。我们将目标结构与其他教程对话分析进行比较。

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