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IAMsystem

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"
https://github.com/scossin/IAMsystem
MIT License
Computer research applied to health ERIAS - Bordeaux Population Health - Research Center U1219
Sebastien Cossin
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
Files download
File Operation
IAMsystem-2.1.0.jar download
IAMsystem-2.1.0.pom download
IAMsystem-2.1.0-sources.jar download
Apache Maven 
<dependency>
  <groupId>fr.erias</groupId>
  <artifactId>IAMsystem</artifactId>
  <version>2.1.0</version>
</dependency>
Gradle Groovy 
implementation 'fr.erias:IAMsystem:2.1.0'
Gradle Kotlin 
implementation("fr.erias:IAMsystem:2.1.0")
Scala SBT 
libraryDependencies += "fr.erias" % "IAMsystem" % "2.1.0"
Groovy Grape 
@Grapes(
  @Grab(group='fr.erias', module='IAMsystem', version='2.1.0')
)
Apache Ivy 
<dependency org="fr.erias" name="IAMsystem" rev="2.1.0" />
Leiningen 
[fr.erias/IAMsystem "2.1.0"]
Apache Buildr 
'fr.erias:IAMsystem:jar:2.1.0'
Dependencies

compile

|-- com.github.universal-automata:liblevenshtein:3.0.0

|-- org.apache.directory.studio:org.apache.commons.codec:1.8

provided

|-- org.projectlombok:lombok:1.18.26

test

|-- org.junit.jupiter:junit-jupiter-engine

|-- org.slf4j:slf4j-nop:2.0.6