Abstract Meaning Representation (AMR) is a graphical meaning representation language designed to represent propositional information about argument structure. However, at present it is unable to satisfyingly represent non-veridical intensional contexts, often licensing inappropriate inferences. In this paper, we show how to resolve the problem of non-veridicality without appealing to layered graphs through a mapping from AMRs into Simply-Typed Lambda Calculus (STLC). At least for some cases, this requires the introduction of a new role :content which functions as an intensional operator. The translation proposed is inspired by the formal linguistics literature on the event semantics of attitude reports. Next, we address the interaction of quantifier scope and intensional operators in so-called de re/de dicto ambiguities. We adopt a scope node from the literature and provide an explicit multidimensional semantics utilizing Cooper storage which allows us to derive the de re and de dicto scope readings as well as intermediate scope readings which prove difficult for accounts without a scope node.
翻译:抽象含义表示(AMR)是一种图形化的表示语言,旨在代表关于争论结构的主张性信息。然而,目前,它无法令人满意地代表非边缘性紧张性背景,常常允许不适当的推断。在本文中,我们展示了如何解决非急性性问题,而无需通过将AMRs绘制成简单Typed Lambda Calculus(STLC)来吸引分层图。至少在某些情况下,这需要引入一种新的角色:作为催化操作者发挥作用的内容。拟议翻译的灵感来自关于态度报告事件语义的正式语言文献。接下来,我们讨论了在所谓的 de re/de de de dedicto 模糊性中修饰性范围和强化性操作者之间的相互作用。我们从文献中采用了一个范围节,并利用Cooper 储存提供明确的多层面语义。 这使得我们可以得出不重复和删除范围读取以及中间范围读法的读法,这些读法证明在没有范围节点的情况下难以进行。