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Guess What: A Question Answering Game via On-demand Knowledge Validation

机译:猜猜有什么:通过按需知识验证来回答游戏

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In this demo, we propose an idea of on-demand knowledge validation and fulfill the idea through an interactive Question-Answering (QA) game system, which is named Guess What. An object (e.g. dog) is first randomly chosen by the system, and then a user can repeatedly ask the system questions in natural language to guess what the object is. The system would respond with yes/no along with a confidence score. Some useful hints can also be given if needed. The proposed framework provides a pioneering example of on-demand knowledge validation in dialog environment to address such needs in AI agents/chatbots. Moreover, the released log data that the system gathered can be used to identify the most critical concepts/attributes of an existing knowledge base, which reflects human's cognition about the world.
机译:在这个演示中,我们提出了一种通过互动问答(QA)游戏系统的按需知识验证,并满足了这个想法,这些游戏系统被命名为猜测。一个物体(例如Dog)是系统中的第一个随机选择,然后用户可以重复询问自然语言中的系统问题以猜测对象是什么。该系统将以是/否响应的信心评​​分。如果需要,也可以给出一些有用的提示。建议的框架在对话环境中提供了一个开创性的对话环境,以解决AI代理/ Chatbots中的此类需求。此外,系统收集的发布日志数据可用于识别现有知识库的最关键的概念/属性,这反映了人类对世界的认知。

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