We examined the performance of four families of large language models (LLMs) and a variety of common fuzzy matching algorithms in assessing the similarity of names and addresses in a sanctions ...

In her return at the U.S. Open, Ms. Williams decided to highlight labels based in the United States. Her shearling racket bag was hard to miss. By Yola Mzizi One way to make a statement in the August ...

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In financial compliance, even small mismatches in data can have outsized consequences. Whether it's reviewing sanctions alerts, verifying customer names, or screening payments, organisations rely on ...

P01: syntax error, unexpected identifier, expecting $end near 'idf='plain,tfidf_normalized',2 FROM index WHERE MATCH('(test^50|best^50|west^50)') option idf='plain ...

We independently select these products—if you buy from one of our links, we may earn a commission. All prices were accurate at the time of publishing. The iconic fuzzy toilet seat cover is likely an ...

I have a fairly small corpus of structured records sitting in a database. Given a tiny fraction of the information contained in a single record, submitted via a web form (so structured in the same way ...

Abstract: The aim of this paper is to formally introduce a fuzzy logic based notion of acceptance and similarity among case features, for case matching and retrieval. In particular, we present an ...