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English(EN) Non-binary bottom-up constituency parsing without arity actions

新的句法分析方法移除歧义动作,减少动作集

研究人员开发了一种新颖的非二元自底向上成分句法分析方法,无需显式的歧义动作。该新方法将成分标签的引入与规约跨度分开,从解析器的状态而非特定的动作标签中推导歧义。在PTB和CTB数据集上的实验表明,这种分隔符引导的解析器在利用显著更小的动作集的同时,实现了与现有歧义特定基线相当的性能。 AI

影响 这项研究通过降低句法分析动作的复杂性,可能带来更高效、更紧凑的自然语言处理模型。

排序理由 该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的自然语言处理方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的句法分析方法移除歧义动作,减少动作集

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该集群包含一篇在arXiv上发表的研究论文,详细介绍了一种新的自然语言处理方法。[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) · Jungyeul Park, Eunkyul Leah Jo, Zihao Huang ·

    无需动作的非二元自下而上成分句法分析

    arXiv:2607.10591v1 Announce Type: new Abstract: Non-binary bottom-up constituency parsing is usually taken to require arity actions: reductions such as \(\textsc{Reduce-}X\#k\) specify both the mother label and the number of children to be composed. We show that this arity parame…