Standard models for syntactic dependency parsing take words to be the elementary units that enter into dependency relations. In this paper, we investigate whether there are any benefits from enriching these models with the more abstract notion of nucleus proposed by Tesni\`{e}re. We do this by showing how the concept of nucleus can be defined in the framework of Universal Dependencies and how we can use composition functions to make a transition-based dependency parser aware of this concept. Experiments on 12 languages show that nucleus composition gives small but significant improvements in parsing accuracy. Further analysis reveals that the improvement mainly concerns a small number of dependency relations, including nominal modifiers, relations of coordination, main predicates, and direct objects.
翻译:在本文中,我们调查用Tesni ⁇ e}re提出的更抽象的核心概念来丰富这些模式是否有好处。我们这样做的方法是说明如何在普遍依赖的框架内界定核心概念,以及我们如何利用组成功能使过渡性依赖者了解这一概念。对12种语言的实验表明,核心构成在扭曲准确性方面带来小但显著的改进。进一步的分析显示,改进主要涉及少数依赖关系,包括名义改变者、协调关系、主要前提和直接目标。