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Processing Metonymy: a Domain-Model Heuristic Graph Traversal Approach

机译:处理转喻:域模型启发式图遍历方法

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We address here the treatment of metonymic expressions from a knowledge representation perspective, that is, in the context of a text understanding system which aims to build a conceptual representation from texts according to a domain model expressed in a knowledge representation formalism. We focus in this paper on the part of the semantic analyser which deals with semantic composition. We explain how we use the domain model to handle metonymy dynamically, and more generally, to underlie semantic composition, using the knowledge descriptions attached to each concept of our ontology as a kind of concept-level, multiple-role qualia structure. We rely for this on a heuristic path search algorithm that exploits the graphic aspects of the conceptual graphs formalism. The methods described have been implemented and applied on French texts in the medical domain.
机译:我们在这里从知识表示的角度,即在文本理解系统的背景下处理转喻表达的处理,该系统旨在根据知识表示形式主义中表达的领域模型从文本构建概念表示。在本文中,我们将重点放在语义分析器中处理语义组成的部分。我们解释了如何使用域模型动态地处理转喻,并且更一般地讲,通过将附加到我们本体的每个概念上的知识描述作为一种概念级别的多角色质量结构,来作为语义组成的基础。为此,我们依靠启发式路径搜索算法,该算法利用概念图形式主义的图形方面。所描述的方法已经在医学领域的法语文本中实现和应用。

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