Database Paper Browser

Back to papers

TEGRA: Table Extraction by Global Record Alignment

Summary: TEGRA extracts multi-column relational tables from list-style web content, not only HTML tables. It quantifies column coherence with a 100M-table web corpus and casts extraction as a fixed-column token assignment that maximizes intra-column coherence via a 2-approximation (A*-like) algorithm; achieves 90%+ F-measure on web and enterprise data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4945
Venue
SIGMOD
Year
2015
Pagerank
6.7966898e-05
Overall Rank
3,742 | 73.97%
DOI
10.1145/2723372.2723725

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers