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摘要: 现有许多对话系统都是面向任务的,但很少考虑对话过程涉及的多主题、主题切换、主 题间的信息共享,以及不同信息重要程度不同等问题.该文提出基于主题森林结构的对话管理 模型,较好地处理了上述问题,能实现对话过程的混合主导.该模型能保证交互过程中对话内容 的一致性,对上下文的理解、对话控制和应答决策灵活自然.其推理机应用了多种与领域无关的 策略,具有较好的可移植性.Abstract: There are many task oriented dialog systems, but few have taken into account the issues on multiple topics, topic shifts, information sharing among topics, and difference in importance for information items. A dialog management model based on the topic forest structure is presented here, which can well handle those issues with mixed-initiative dialog control. This model is consistent during the dialog transaction, so that it can understand the user according to the context. Its dialog control and response decision are both natural and flexible. With several domain-independent strategies, its reasoning engine is portable too.
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Key words:
- Dialog systems /
- dialog models /
- dialog management /
- topic forest
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