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Dependency Chart Parsing Algorithm Based on Ternary-Span Combination

机译:基于三阶跨度组合的依赖图解析算法

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This paper presents a new span-based dependency chart parsing algorithm that models the relations between the left and right dependents of a head. Such relations cannot be modeled in existing span-based algorithms, despite their popularity in dependency corpora. We address this problem through ternary-span combination during the subtree derivation. By modeling the relations between the left and right dependents of a head, our proposed algorithm provides a better capability of coordination disambiguation when the conjunction is annotated as the head of the left and right conjuncts. This eventually leads to state-of-the-art performance of dependency parsing on the Chinese data of the CoNLL shared task.
机译:本文提出了一种新的基于跨度的依存关系图解析算法,该算法对头部的左右依存关系之间的关系进行建模。尽管这种关系在依赖语料库中很受欢迎,但无法在现有的基于跨度的算法中建模。我们在子树推导过程中通过三进制跨度组合解决了这个问题。通过对一个头部的左右从属关系之间的关系进行建模,当连接被标注为左右合相的头部时,我们提出的算法提供了更好的协调消歧能力。这最终导致对CoNLL共享任务的中文数据进行依赖项解析的最新性能。

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