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| Εξαγωγή Δομημένου Κειμένου× | Εξαγωγή Πληροφορίας× | |
|---|---|---|
| Πεδίο | Εξόρυξη Κειμένου | Εξόρυξη Κειμένου |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης | — | — |
| Δημιουργός | — | — |
| Τύπος≠ | Document-processing pipeline | NLP structured-information task |
| Θεμελιώδης πηγή≠ | Zhu, J. et al. (2021). TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content. ACL. link ↗ | Cowie, J. & Lehnert, W. (1996). Information Extraction. Communications of the ACM. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | form extraction, table extraction, document parsing, Yapılandırılmış Veri Çıkarma (Form & Tablo Çıkarma) | IE, structured information extraction, Bilgi Çıkarma (Information Extraction) |
| Συναφείς≠ | 2 | 4 |
| Σύνοψη≠ | 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. | Information extraction (IE) is a natural-language-processing task that converts unstructured text into structured information — such as events, relations, and attributes — so that facts buried in free-form documents become machine-readable records. The task was consolidated in early surveys by Cowie and Lehnert (1996) and later by Grishman (2012). |
| ScholarGateΣύνολο δεδομένων ↗ |
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