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English(EN) Reformulation and Equivalence of Bock's Algorithm for Exact Dependency Parsing

Bock算法重构用于精确依存句法分析

一篇新论文重构了Bock算法,这是Chu-Liu/Edmonds算法在精确依存句法分析中的一种替代方案。重构保持了原始节点和弧的身份,并被证明在特定条件下与原始Bock算法和Tarjan算法在操作上等价。这项工作将重构的Bock算法集成到双仿射依存句法分析器中,展示了其在Penn Treebank和Chinese Treebank等标准数据集上的解码和结构化训练的效用。 AI

影响 这项研究为依存句法分析和结构化训练提供了一个新的精确Oracle,可能改进自然语言处理模型的开发。

排序理由 该集群包含一篇研究论文,详细介绍了依存句法分析的新算法重构。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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Bock算法重构用于精确依存句法分析

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该集群包含一篇研究论文,详细介绍了依存句法分析的新算法重构。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Yuxi Wang, Jungyeul Park ·

    Bock算法的重构与等价性用于精确依赖解析

    arXiv:2611.00939v1 Announce Type: new Abstract: Bock's algorithm provides a matrix-based alternative to Chu--Liu/Edmonds (CL/E) for exact dependency parsing. We present a reformulation that retains original node and arc identities through component labels, column adjustments, and…