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cs.LG2024
PORTAL: Scalable Tabular Foundation Models via Content-Specific Tokenization
Marco Spinaci, Marek Polewczyk, Johannes Hoffart +3
Self-supervised learning on tabular data seeks to apply advances from natural language and image domains to the diverse domain of tables. However, current techniques often struggle…
cs.LG2024
ClusterTabNet: Supervised clustering method for table detection and table structure recognition
Marek Polewczyk, Marco Spinaci
We present a novel deep-learning-based method to cluster words in documents which we apply to detect and recognize tables given the OCR output. We interpret table structure bottom-…