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HOW TO ENHANCE GENERICITY IN NATURAL LANGUAGE COMMAND INTERPRETATION USING INTROSPECTION AND ONTOLOGIES?

机译:如何使用内省和本体提高自然语言指挥解释的常见性?

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This paper presents a general architecture towards a more generic approach to command interpretation in conversational agents. Our architecture contains generic (in sense of application independent) natural language (NL) modules that are based on ontologies and agent introspection. We will especially focus on the presentation of the event generator (introspection part) and dialogue manager (application independent part) modules, which rely on a bottom-up approach for matching the user's command with the set of currently possible actions.
机译:本文呈现了一种朝着更广泛的对话代理商解释的普遍架构。我们的架构包含基于本体和代理Introspection的自然语言(NL)的自然语言(NL)模块。我们将特别关注事件生成器(内省)和对话管理器(应用程序独立部分)模块的演示文稿,该模块依赖于将用户命令与当前可能的操作集匹配的自下而上方法。

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