ScholarGate
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Process / pipeline

语义解析 — 自然语言到形式化表示

语义解析是一项自然语言处理任务,它将自由文本语句转换为可执行的形式化表示,例如 SQL 查询、逻辑形式或抽象意义表示 (AMR)。它由 Zelle 和 Mooney 于 1996 年确立了监督学习形式,并通过 Spider 基准 (Yu et al., 2018) 扩展到跨领域设置,弥合了人类语言与机器可执行结构之间的差距。

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Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Zelle, J.M. & Mooney, R.J. (1996). Learning to Parse Database Queries Using Inductive Logic Programming. AAAI. link
  2. Yu, T. et al. (2018). Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing. EMNLP. link

如何引用本页

ScholarGate. (2026, June 1). Semantic Parsing (Natural Language to Formal Representation). ScholarGate. https://scholargate.app/zh/text-mining/semantic-parsing

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side
ScholarGateSemantic Parsing (Semantic Parsing (Natural Language to Formal Representation)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/semantic-parsing · 数据集: https://doi.org/10.5281/zenodo.20539026