Dealing with Acronyms, Abbreviations, and Typos in Real-World Entity Matching
Summary: Smash: a similarity measure with a dynamic-programming algorithm that jointly handles acronyms, abbreviations, and typos for entity/record matching without needing pre-specified synonym rules. Two optimizations and OpenRefine integration yield large F‑score gains over strong baselines (including GPT‑4). (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Joshua Wu
- 2. Dixin Tang
- 3. Nithin Chalapathi
- 4. Tristan Chambers
- 5. Julie Ciccolini
- 6. Cheryl Phillips
- 7. Lisa Pickoff-White
- 8. Aditya Parameswaran
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