Synthesizing Entity Matching Rules by Examples
Summary: Synthesizes EM rules from pos/neg examples via program synthesis on a GBF grammar. GBF yields concise, interpretable rules (AND/OR/NOT) that handle missing values and are competitive with deep models in effectiveness. (summarized by gpt-5-nano on Feb 09 2026)
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