Comparing UMR and Cross-lingual Adaptations of AMR
Comparing UMR and Cross-lingual Adaptations of AMR
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发表时间：
2023
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通讯作者：
Shira Wein;Julia Bonn
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作者：
Shira Wein;Julia Bonn
抽象意义表示（AMR）是一种流行的语义注释模式，它将句子意义表示为图形，同时抽象出语法。它最初是为英语设计的，但后来扩展到AMR的各种非英语版本。这些跨语言的适应，在不同程度上，纳入语言特定的功能，有效地捕捉被注释的语言的语义。统一意义表示（UMR）是AMR的多语言扩展，专门为跨语言应用程序设计。在这项工作中，我们将讨论这两种方法来扩展AMR超越英语。我们描述了这两种方法，比较他们捕获的情况下的语言（西班牙语）的信息，并概述了对未来工作的影响。
Abstract Meaning Representation (AMR) is a popular semantic annotation schema that presents sentence meaning as a graph while abstracting away from syntax. It was originally designed for English, but has since been extended to a variety of non-English versions of AMR. These cross-lingual adaptations, to varying degrees, incorporate language-specific features necessary to effectively capture the semantics of the language being annotated. Uniform Meaning Representation (UMR) on the other hand, the multilingual extension of AMR, was designed specifically for cross-lingual applications. In this work, we discuss these two approaches to extending AMR beyond English. We describe both approaches, compare the information they capture for a case language (Spanish), and outline implications for future work.