论文标题
可以从AMR预测多少UCCA？
How much of UCCA can be predicted from AMR?
论文作者
论文摘要
在本文中，我们考虑了两个当前流行的语义框架：抽象含义表示（AMR）一个更抽象的框架和通用的概念认知注释（UCCA） - 一个锚定的框架。我们使用基于语料库的方法来构建两种图形重写系统，即确定性和非确定性的方法，从前者到后一个框架。我们提出了他们的评估以及在制定规则时发现的许多歧义。最后，我们提供了与比较不同口味的语义框架有关的讨论和一些未来的工作方向。
In this paper, we consider two of the currently popular semantic frameworks: Abstract Meaning Representation (AMR)a more abstract framework, and Universal Conceptual Cognitive Annotation (UCCA)-an anchored framework. We use a corpus-based approach to build two graph rewriting systems, a deterministic and a non-deterministic one, from the former to the latter framework. We present their evaluation and a number of ambiguities that we discovered while building our rules. Finally, we provide a discussion and some future work directions in relation to comparing semantic frameworks of different flavors.
