@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@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-K5T7M1ZS-V>
  skos:prefLabel "logiciel de TAL"@fr, "NLP software"@en ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-BRRPXHL9-7> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-BRRPXHL9-7>
  skos:hiddenLabel "neuroNER"@en, "neuroNER"@fr ;
  skos:definition "NeuroNER est un programme de reconnaissance d'entités nommées basé sur des réseaux neuronaux. (Loterre)"@fr, "NeuroNER is a named-entity recognition program based on neural networks. (Loterre)"@en ;
  skos:example "NeuroNER comprises two main components: an NER engine and an interface with BRAT. (Dernoncourt, Lee & Szolovits, 2017)"@en, "We observed that NeuroNER obtained the best performance on protein and Multi-BioNER achieved the best performance on Chemical (Figure 5c). (Yang, Liu, Zhang & Wang, 2022)"@en, "Unfortunately NeuroNER requires both source and target corpora to have the same label set so we were not able to use it for our experiments. (Rodriguez, Caldwell & Liu, 2018)"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-K5T7M1ZS-V> ;
  dc:modified "2024-05-03T09:25:05"^^xsd:dateTime, "2024-05-03T09:30:08"^^xsd:dateTime ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:exactMatch ltk:-T1RMX4N4-X ;
  a skos:Concept ;
  skos:prefLabel "NeuroNER"@en, "NeuroNER"@fr .