End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques
Geotechnical investigation reports have been generated for infrastructure projects prior to construction, typically in inconsistent and unstructured formats containing engineering properties in figures, tables, and other subcomponents. However, extracting specific information requires manual review,...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-10-01
|
| Series: | Developments in the Built Environment |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666165925001334 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|