Search Results for author:
Found 4 papers, 4 papers with code
ETDPC: A Multimodality Framework for Classifying Pages in Electronic Theses and Dissertations
To overcome the challenge of imbalanced labeled samples, we augmented data for minority categories and employed a hierarchical classifier.
MetaEnhance: Metadata Quality Improvement for Electronic Theses and Dissertations of University Libraries
Metadata quality is crucial for digital objects to be discovered through digital library interfaces.
Automatic Metadata Extraction Incorporating Visual Features from Scanned Electronic Theses and Dissertations
Our experiments show that CRF with visual features outperformed both a heuristic and a CRF model with only text-based features.
Ranked #1 on
Key Information Extraction
on ETD500
Key Information Extraction
Optical Character Recognition (OCR)
ScanBank: A Benchmark Dataset for Figure Extraction from Scanned Electronic Theses and Dissertations
To the best of our knowledge, ScanBank is the first manually annotated dataset for figure and table extraction for scanned ETDs.
