@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix inist: <http://www.inist.fr/Ontology#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-C3FMJCQM-G>
  skos:altLabel "named entity extraction"@en, "named entities recognition"@en, "entity chunking"@en, "entity identification"@en, "entity recognition"@en, "entity extraction"@en, "REN"@fr, "NER"@en, "NER"@fr ;
  inist:definitionalContext "Named Entity Recognition (NER) (also known as Entity Recognition Entity Chunking and Entity Extraction) is a subtask of Information Extraction that aims to locate and classify named entities in text into predefined categories such as people organizations locations etc. (Zhang, Wang & Zhang, 2023)"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-H2B2QFZ3-Q> ;
  skos:example "We introduce a named-entity extraction method to recognize named entities from embedded images in articles eliminating the overhead in manually creating a list of named entities that will appear in the articles. (Zhang, Gu & Plummer, 2023)"@en, "It applies filtering techniques based on intuitive rules as well as the expected answer classes with named-entities recognition defined by regular expressions and a fixed list for some special cases. (Pizzato & Mollá, 2008)"@en, "Named entity recognition (NER) locates units of information such as names of organizations persons and locations and numeric expressions from unstructured text. (Kayal, Afzal, Tsatsaronis, Katrenko, Coupet, Doornenbal & Gregory, 2017)"@en, "Named Entity Extraction is a mature task in the NLP field that has yielded numerous services gaining popularity in the Semantic Web community for extracting knowledge from web documents. (Rizzo & Troncy, 2012)"@en, "Ensuite, nous exposons les problèmes de REN liés aux spécificités de la langue arabe. (Zribi, Hammami & Belguith, 2010)"@fr, "La REN constitue un champ de recherche très actif. (Talha, Boulaknadel & Aboutajdine, 2014)"@fr, "Named Entity Recognition (NER) is one of the most fundamental tasks in natural language processing. (Zhang, Qiao, Zhao, Tao & Yang, 2023)"@en ;
  skos:definition "Sous-tâche de l'extraction d'information qui cherche à localiser et à classer les entités nommées dans le texte dans des catégories prédéfinies telles que les noms de personnes, d'organisations, de lieux, les expressions de temps, les quantités, les valeurs monétaires, les pourcentages, etc. (Loterre)"@fr, "A subtask of information extraction that seeks to locate and classify named entities in text into pre-defined categories such as the names of persons, organizations, locations, expressions of times, quantities, monetary values, percentages, etc. (Loterre)"@en ;
  dc:modified "2024-04-25T12:26:14"^^xsd:dateTime ;
  skos:exactMatch ltk:-D239VQCQ-6, <https://www.wikidata.org/wiki/Q403574> ;
  skos:hiddenLabel "Named entity recognition"@en, "Reconnaissance d'entités nommées"@fr ;
  a skos:Concept ;
  skos:prefLabel "named entity recognition"@en, "reconnaissance d'entités nommées"@fr ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> .

<http://data.loterre.fr/ark:/67375/8LP-H2B2QFZ3-Q>
  skos:prefLabel "information extraction"@en, "extraction d'information"@fr ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-C3FMJCQM-G> .