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Transportable natural language interfaces for taxonomic knowledge representation systems

机译:用于分类知识表示系统的可移动自然语言界面

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A general approach is presented for building transportable natural language interfaces for question answering systems based on a KL-ONE-like knowledge representation. An example system is described. The YAKS knowledge representation of concepts and relations is annotated with minimal syntactic information to generate a semantic case frame grammar with inheritance of cases. The generated grammar directs a case frame parser, which processes written input into instantiated case frames. These instantiations are easily translated into knowledge base queries. The same method is applicable to other object-oriented knowledge bases and other parsing techniques. The key property aimed for with this approach was cost-effective knowledge acquisition for the natural language interface. This property was achieved by basically exploiting as much as possible the knowledge about syntactic and semantic constraints that is implicit in the knowledge base. The limitations of both the current system and the approach in general are discussed. The approach is compared to related work.
机译:提出了一种基于KL-One的知识表示来构建问题应答系统的可移动自然语言界面的一般方法。描述了示例系统。 yaks知识表示的概念和关系是用最小的句法信息注释,以产生具有案例的继承的语义案例框架语法。生成的语法指示案例帧解析器,该解析器将输入的输入到实例化的案例帧中。这些实例化容易被翻译成知识库查询。相同的方法适用于其他面向对象的知识库和其他解析技术。针对这种方法的关键财产对自然语言界面具有成本效益的知识获取。通过基本上利用了关于知识库中隐含的句法和语义约束的知识来实现​​了这一属性。讨论了当前系统和方法的局限性是讨论的。该方法与相关工作进行比较。

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