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Learning String Transformations From Examples

Summary: Learning string transformations from examples to handle synonyms, abbreviations, and aliases in matching. Formulates an NP-hard optimization to learn a concise transformation set; proposes a greedy approximation with real-data experiments. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9860
Venue
VLDB
Year
2009
Pagerank
7.0822216e-05
Overall Rank
3,451 | 76.00%
DOI
-

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