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I4E: Interactive Investigation of Iterative Information Extraction

Summary: I4E enables interactive post-extraction investigation of IIE systems, formalizing explain, diagnose, and repair phases with algorithms. Evaluation on a 500M-document web corpus shows effective post-extraction reasoning and repair with strong user gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4295
Venue
SIGMOD
Year
2010
Pagerank
4.7743779e-05
Overall Rank
7,275 | 49.44%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,107 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 7.5549177e-05
6,527 Automatic Rule Refinement for Information Extraction 2010 VLDB 5.0200332e-05
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