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Modeling Quantification and Scope in Abstract Meaning Representations

机译:建模量化和抽象意义呈现的范围

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In this paper, we propose an extension to Abstract Meaning Representations (AMRs) to encode scope information of quantifiers and negation, in a way that overcomes the semantic gaps of the schema while maintaining its cognitive simplicity. Specifically, we address three phenomena not previously part of the AMR specification: quantification, negation (generally), and modality. The resulting representation, which we call "Uniform Meaning Representation" (UMR), adopts the predicative core of AMR and embeds it under a "scope" graph when appropriate. UMR representations differ from other treatments of quantification and modal scope phenomena in two ways: (a) they are more transparent; and (b) they specify default scope when possible.
机译:在本文中,我们提出了抽象的意义表达(AMRS)来编码量子和否定的范围信息,以克服模式的语义间隙,同时保持其认知简单性。具体而言,我们解决了三个现象,以前不是AMR规范的一部分:量化,否定(一般)和模态。我们称之为“统一含义表示”(UMR)的结果表示,采用AMR的谓词核心,并在适当时将其嵌入“范围”图下。 umr表示与两种方式不同的量化和模态范围现象的不同之处不同:(a)它们更加透明; (b)他们在可能的情况下指定默认范围。

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