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Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle

机译:使用静态动态Oracle的Arc-Hybrid非投影相依性解析

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We extend the arc-hybrid transition system for dependency parsing with a SWAP transition that enables reordering of the words and construction of non-projective trees. Although this extension potentially breaks the arc-decomposability of the transition system, we show that the existing dynamic oracle can be modified and combined with a static oracle for the Swap transition. Experiments on five languages with different degrees of non-projectivity show that the new system gives competitive accuracy and is significantly better than a system trained with a purely static oracle.
机译:我们扩展了弧形混合过渡系统,用于通过SWAP过渡进行依赖关系解析,该SWAP过渡支持单词的重新排序和非投影树的构造。尽管此扩展潜在地破坏了过渡系统的弧可分解性,但我们表明可以对现有的动态预言进行修改并将其与静态预言结合用于Swap过渡。对五种具有不同程度的非投影性的语言进行的实验表明,新系统具有竞争优势,并且比使用纯静态预言机训练的系统明显更好。

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