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Process / pipeline

组成分析 — 短语结构分析

组成分析是一项自然语言处理任务,它将句子表示为递归嵌套的短语结构组成部分组成的树 — 例如 S → NP + VP。在 Collins (2003) 提出的头驱动统计分析模型以及 Kitaev 及其同事 (2019) 后续的神经网络分析器的基础上,它揭示了句子的分层句法骨架,用于提取语法模式和进行语法研究。

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来源

  1. Collins, M. (2003). Head-Driven Statistical Models for Natural Language Parsing. Computational Linguistics, 29(4), 589-637. DOI: 10.1162/089120103322753356
  2. Kitaev, N., Cao, S. & Klein, D. (2019). Multilingual Constituency Parsing with Self-Attention and Pre-Training. Proceedings of ACL. DOI: 10.18653/v1/P19-1340

如何引用本页

ScholarGate. (2026, June 1). Constituency Parsing (Phrase-Structure Parsing). ScholarGate. https://scholargate.app/zh/text-mining/constituency-parsing

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被引用于

ScholarGateConstituency Parsing (Constituency Parsing (Phrase-Structure Parsing)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/constituency-parsing · 数据集: https://doi.org/10.5281/zenodo.20539026