Police report linking algorithm based on Named Entity Recognition

cic.institucionOrigenLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloLaboratorio de Investigación y Formación en Informática Avanzada (LIFIA)
cic.parentTypeObjeto de conferencia
cic.versionAceptada
dc.date.accessioned2025-02-20T12:02:55Z
dc.date.available2025-02-20T12:02:55Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12415
dc.titlePolice report linking algorithm based on Named Entity Recognitionen
dc.typeDocumento de conferencia
dcterms.abstractPolice reports include a complaint made by the victim of a crime. This complaint is a story that describes the facts from the victim’s point of view. Most of the time, crimes are perpetrated by unknown authors. This causes cases to be shelved until new evidence arrives. The use of natural language processing allows us to take advantage of non-structured text in victim’s com-plaints by generating links that could lead to the reopening of an archived investigation. Through the use of NER1, it is possible to extract entities of interest from a report of a complaint that arrives and link it with other reports of existing complaints, allowing the generation of a maps of links in order to detect similarities between cases. This idea will increase the possibility that cases in archived status being opened.en
dcterms.creator.authorÁlvarez, Mauro Daniel
dcterms.creator.authorAntonelli, Leandro
dcterms.isPartOf.issueDecisioning 2024
dcterms.isPartOf.seriesDecisioning 2024. Collaboration in knowledge discovery and decision making (Colombia, 4 al 6 de junio de 2024)
dcterms.issued2024-06
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-ShareAlike 4.0 International (BY-NC-SA 4.0)
dcterms.subjectNLPen
dcterms.subjectNERen
dcterms.subjectpolice reportsen
dcterms.subjectcriminal justiceen
dcterms.subjectgraphsen
dcterms.subjectsimilarityen
dcterms.subject.materiaCiencias de la Computación e Información

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