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Data-driven Dependency Parsing With Empty Heads

机译:空头的数据驱动依赖性解析

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Syntactic dependency structures are based on the assumption that there is exactly one node in the structure for each word in the sentence. However representing elliptical constructions (e.g. missing verbs) is problematic as the question where the dependents of the elided material should be attached to has to be solved. In this paper, we present an in-depth study into the challenges of introducing empty heads into dependency structures during automatic parsing. Structurally, empty heads provide an attachment site for the dependents of the non-overt material and thus preserve the linguistically plausible structure of the sentence. We compare three different (computational) approaches to the introduction of empty heads and evaluate them against German and Hungarian data. We then conduct a fine-grained error analysis on the output of one of the approaches to highlight some of the difficulties of the task. We find that while a clearly defined part of the phenomena can be learned by the parser, more involved elliptical structures are still mostly out of reach of the automatic tools.
机译:句法依存结构是基于这样的假设,即结构中每个句子中的每个单词都只有一个节点。但是,表示椭圆结构(例如,缺少动词)存在问题,因为必须解决被淘汰材料的依存关系应当附加到的问题。在本文中,我们对自动解析过程中将空头引入依赖结构所面临的挑战进行了深入研究。从结构上讲,空头为非公开材料的从属提供了依附位置,因此保留了句子的语言学上合理的结构。我们比较了三种不同的(计算)方法来引入空头,并根据德国和匈牙利的数据对其进行了评估。然后,我们对其中一种方法的输出进行细粒度的错误分析,以突出显示该任务的一些困难。我们发现,虽然解析器可以了解现象的明确定义的部分,但更多涉及的椭圆结构仍然基本上是自动工具无法达到的。

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