How can fuzzy matching be used for entity resolution?

Nov 4, 2014 ... Journals. Bäumer F, Dollmann M, Geierhos M. Find a Physician by Matching Medical Needs Described in your Own Words. Feb 10, 2025 ... Nested Ecto Fragments to Generate Fuzzy Match Query · a function that produces the CASE · a greatest function that can take multiple of the CASE ... Sep 26, 2019 ... With advances in machine learning, we've finally reached a point where MT-generated translations are competing with low fuzzy matches. May 2, 2020 ... Re: Fuzzy string match ... You might be able to use Shortest Edit Script to make one. The example in the scripting index assembles a string of the ... Fuzzy matches help your translation team estimate the amount of time they will need to professionally translate your projects. Jan 18, 2023 ... Here is an example of how you could identify duplicates and bring them together without having a 'ground truth'. The workflow will try to determine the groups ... Oct 28, 2022 ... I'm trying to configure Elasticsearch to give me both exact matches and fuzzy matches and also phrase matches. Sep 1, 2015 ... I want to create an algorithm that performs a fuzzy search on a list of names of schools. This is what I have looked at so far. In this tutorial, you will learn how to approximately match strings and determine how similar they are by going over various examples. Jun 11, 2024 ... Fuzzy Matching (FM), also known as fuzzy logic, approximate string matching, fuzzy name matching, or fuzzy string matching is a technique that ...