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Reasoning with Dependency Structures and Lexicographic Definitions using Unit Graphs

机译:使用单位图的依存关系结构和词典定义推理

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We are interested in a graph-based Knowledge Representation (KR) formalism that would allow for the representation, manipulation, query, and reasoning over dependency structures, and linguistic knowledge of the lexicon in the Meaning-Text Theory framework. Neither the semantic web formalisms nor the conceptual graphs appear to be suitable for this task, and this led to the introduction of the new Unit Graphs (UG) framework. In this paper we will overview the foundational concepts of this framework: the UGs are denned over a UG-support that contains: ⅰ) a hierarchy of unit types which is strongly driven by the actantial structure of unit types, ⅱ) a hierarchy of circumstantial symbols, and ⅲ) a set of unit identifiers. Based on these foundational concepts and on the definition of UGs, this paper justifies the use of a deep semantic representation level to represent meanings of lexical units. Rules over UGs are then introduced, and lexicographic definitions of lexical units are added to the hierarchy of unit types. Finally this paper provides UGs with semantics (in the logical sense), and pose the en-tailment problem, so as to enable the reasoning in the UGs framework.
机译:我们对基于图的知识表示(KR)形式主义感兴趣,该形式主义将允许对依赖结构的表示,操纵,查询和推理,以及意义文本理论框架中的词典的语言知识。语义Web形式主义和概念图都似乎都不适合此任务,这导致引入了新的单元图(UG)框架。在本文中,我们将概述此框架的基本概念:UG在UG支持的基础上进行定义,该UG支持包括:ⅰ)单元类型的层次结构,该层次结构由单元类型的对偶结构强烈驱动,ⅱ)间接情况的层次结构符号,ⅲ)一组单位标识符。基于这些基本概念和UG的定义,本文证明使用深度语义表示级别来表示词汇单元的含义是合理的。然后引入了关于UG的规则,并将词汇单位的词典定义添加到单位类型的层次结构中。最后,本文为UG提供了语义(在逻辑意义上),并提出了附带问题,以便在UGs框架中进行推理。

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