论文标题

DRS在MRP 2020:打扮演讲表示形式作为图形

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

论文作者

Abzianidze, Lasha, Bos, Johan, Oepen, Stephan

论文摘要

话语表示理论(DRT)是代表自然语言话语含义的正式说明。 DRT中的含义是通过话语表示结构(DRS)建模的,这是具有模型理论解释的含义表示,通常将其描述为嵌套框。相比之下,有向标记的图是一种通用数据结构,用于编码自然语言文本的语义。本文描述了将DRSS打扮成指示的图形的过程,将DRT作为2020年共享任务的新框架以及跨框架和跨语言含义表示的解析的新框架。由于共享任务的目标之一是鼓励几个语义图框架的统一模型,因此转换过程偏向于使DRT图形框架与其他基于图的含义表示框架有些相似。

Discourse Representation Theory (DRT) is a formal account for representing the meaning of natural language discourse. Meaning in DRT is modeled via a Discourse Representation Structure (DRS), a meaning representation with a model-theoretic interpretation, which is usually depicted as nested boxes. In contrast, a directed labeled graph is a common data structure used to encode semantics of natural language texts. The paper describes the procedure of dressing up DRSs as directed labeled graphs to include DRT as a new framework in the 2020 shared task on Cross-Framework and Cross-Lingual Meaning Representation Parsing. Since one of the goals of the shared task is to encourage unified models for several semantic graph frameworks, the conversion procedure was biased towards making the DRT graph framework somewhat similar to other graph-based meaning representation frameworks.

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