3260 papers • 126 benchmarks • 313 datasets
Table functional analysis involves recognizing which cells of a table correspond to keys (table headers), which cells correspond to values (table body), and their relationships.
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This work develops a new, more comprehensive dataset for table extraction, called PubTables-1M, and addresses a significant source of ground truth inconsistency observed in prior datasets called oversegmentation, using a novel canonicalization procedure.
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