@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix inist: <http://www.inist.fr/Ontology#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@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-PP7K2BLW-S> .

<http://data.loterre.fr/ark:/67375/8LP-PP7K2BLW-S>
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-K5T7M1ZS-V> ;
  skos:prefLabel "BigARTM"@fr, "BigARTM"@en ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> ;
  skos:definition "Fast topic modeling platform. (Loterre)"@en, "Plateforme de modélisation de topiques rapide. (Loterre)"@fr ;
  skos:hiddenLabel "BigArtm"@fr, "BigArtm"@en, "Big ARTM"@fr, "Big ARTM"@en ;
  skos:exactMatch ltk:-QQR4V0HR-0 ;
  inist:definitionalContext "BigARTM is a tool to infer topic models based on a technique called Additive Regularization of Topic Models. (Yusupov & Kuratov, 2018)"@en, "BigARTM is a fast and flexible library for topic modeling (Frei and Apishev 2016) based on Additive Regularization of Topic Models (ARTM) formalism (Vorontsov 2014). (Bulatov, Alekseev, Vorontsov, Polyudova, Veselova, Goncharov & Egorov, 2020)"@en ;
  skos:example "As an example of dealing with auxiliary information BigARTM makes it very easy to include document metadata (e.g. authors timestamps tags and n-grams) in a single model. (Bulatov, Alekseev, Vorontsov, Polyudova, Veselova, Goncharov & Egorov, 2020)"@en, "BigARTM library adds several other metrics such as sparsity purity and contrast (Vorontsov and Potapenko 2015). (Bulatov, Alekseev, Vorontsov, Polyudova, Veselova, Goncharov & Egorov, 2020)"@en, "Another shortcoming of BigARTM is the difficulty in extending it. (Bulatov, Alekseev, Vorontsov, Polyudova, Veselova, Goncharov & Egorov, 2020)"@en, "Therefore as applications of BigARTM were becoming more diverse and the algorithms were gradually refined the high-level interface of BigARTM was getting less well-suited for \"best practices\". (Bulatov, Alekseev, Vorontsov, Polyudova, Veselova, Goncharov & Egorov, 2020)"@en ;
  a skos:Concept ;
  dc:modified "2024-05-03T09:35:07"^^xsd:dateTime, "2024-05-03T09:25:01"^^xsd:dateTime .

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