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IAMsystem from group fr.erias (version 2.1.0)

A fast dictionary-based approach for semantic annotation / entity linking. IAMsystem is efficient at annotating documents with large dictionaries and approximate string matching algorithms. Description of the system can be found in the following paper : "Cossin S, Jouhet V, Mougin F, Diallo G and Thiessard F. IAM at CLEF eHealth 2018: Concept Annotation and Coding in French Death Certificates. CEUR-WS. September 2018"

Group: fr.erias Artifact: IAMsystem
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Artifact IAMsystem
Group fr.erias
Version 2.1.0
Last update 12. March 2023
Tags: semantic algorithms iamsystem string death documents annotating approximate concept description mougin ehealth approach matching coding ceur found september paper french annotation based large clef efficient linking diallo thiessard cossin with 2018 fast dictionary system jouhet certificates following entity dictionaries
Organization Computer research applied to health ERIAS - Bordeaux Population Health - Research Center U1219
URL https://github.com/scossin/IAMsystem
License MIT License
Dependencies amount 2
Dependencies liblevenshtein, org.apache.commons.codec,
There are maybe transitive dependencies!



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