ScholarGate
助手
Process / pipeline

结构化文本提取 — 表格与表单提取

结构化文本提取是一种文档处理流水线，可自动识别并提取 PDF、HTML 和扫描文档中的表格、表单字段和结构化数据。它将异构文档布局转换为机器可读、可供分析的记录，并广泛应用于数据收集工作流、文档数字化项目和学术语料库构建。

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Method map

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

结构化文本提取
信息抽取命名实体识别 (NER)

来源

  1. Zhu, J. et al. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content. ACL. link ↗
  2. Zhong, X. et al. (2020). Image-Based Table Recognition. ECCV. link ↗

如何引用本页

ScholarGate. (2026, June 1). Structured Data Extraction (Form & Table Extraction). ScholarGate. https://scholargate.app/zh/text-mining/structured-text-extraction

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.

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ScholarGate — Structured Text Extraction (Structured Data Extraction (Form & Table Extraction)). 于 2026-06-15 检索自 https://scholargate.app/zh/text-mining/structured-text-extraction · 数据集： https://doi.org/10.5281/zenodo.20539026