@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .

<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-F6W3Z1T0-S> .

<http://data.loterre.fr/ark:/67375/8LP-F6W3Z1T0-S>
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:example "In contrast NLP4J and Flair are quite likely to outperform the other taggers and Flair has an 80% chance of outperforming NLP4J. (Szymanski & Gorman, 2020)"@en, "In our case the combination of NLP4J with the BIST dependency parser actually outperforms any MXPOST-based pre-processing pipeline. (Kabbach, Ribeyre & Herbelot, 2018)"@en, "Both NLP4J and Flair are both quite likely to outperform earlier models and Flair is most likely to outperform NLP4J. (Szymanski & Gorman, 2020)"@en, "To break down the episode-level summaries into scene-level they are segmented into sentences by the tokenizer in NLP4J. (Ma, Jurczyk & Choi, 2018)"@en ;
  a skos:Concept ;
  skos:prefLabel "NLP4J"@en, "NLP4J"@fr ;
  skos:hiddenLabel "Nlp4j"@en, "Nlp4j"@fr ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-K5T7M1ZS-V> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .