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DReSDeN: Towards a Trainable Tutorial Dialogue Manager to Support Negotiation Dialogues for Learning and Reflection

机译:德累斯顿:走向培训教程对话经理,以支持学习和反思的谈判对话

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This paper introduces the DReSDeN tutorial dialogue manager, which adopts a similar Issues Under Negotiation approach to that presented in Larsson [20]. Thus, the information state that is maintained in DReSDeN represents the items that are currently being discussed as well as their inter-relationships. This representation provides a structure for organizing the representation for the interwoven conversational threads [26] out of which the negotiation dialogue is composed. We are developing DReSDeN in the context of the CycleTalk tutorial dialogue system that supports the development of critical thinking and argumentation skills by engaging students in negotiation dialogues. We describe the role of DReSDeN in the CycleTalk tutorial dialogue system, currently under development. We then give a detailed description of DReSDeN's underlying algorithms and data structures, illustrated with a working example. We conclude with some early work in using machine learning techniques to adapt DReSDeNs behavior.
机译:本文介绍了德累斯顿教程对话经理,它采用了在Larsson提供的谈判方法下的类似问题[20]。因此,维持在DRESDON中的信息状态代表当前正在讨论的项目以及它们的相互关系。该表示提供了一种用于组织交织对话线程的表示的结构,其中组合了协商对话。我们正在开发德累斯顿在Cycletalk教程对话系统中,通过从事谈判对话中的学生来支持批判性思维和论证技能的发展。我们描述了德累斯顿在目前正在开发的Cyclatal讲义对话系统中的作用。然后,我们对DRESDON的底层算法和数据结构进行了详细描述,该示例说明了。我们在利用机器学习技术适应DRSDENS行为时结束了一些早期工作。

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