方法证据记录
Structured Text Extraction
Structured text extraction is a document-processing pipeline that automatically identifies and pulls tables, form fields, and structured data from PDF, HTML, and scanned documents. It converts heterogeneous document layouts into machine-readable, analysis-ready records and is widely used in data collection workflows, document digitisation projects, and academic corpus construction.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Structured Data Extraction (Form & Table Extraction)
分类方法记录 · process-pipeline / text-mining
- Zhu, J. et al. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content. ACL. · URL
- Zhong, X. et al. (2020). Image-Based Table Recognition. ECCV. · URL
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