@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix dc: <http://purl.org/dc/terms/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<http://data.loterre.fr/ark:/67375/8LP> a owl:Ontology, skos:ConceptScheme .
<http://data.loterre.fr/ark:/67375/8LP-G006D599-R>
  skos:prefLabel "measure"@en, "mesure"@fr ;
  a skos:Concept ;
  skos:narrower <http://data.loterre.fr/ark:/67375/8LP-K2DJ0MHQ-6> .

<http://data.loterre.fr/ark:/67375/8LP-K2DJ0MHQ-6>
  dc:modified "2024-06-26T15:18:45"^^xsd:dateTime ;
  skos:example "En effet, une mesure de similarité répond à un besoin particulier. (Bossard & Rodrigues, 2015)"@fr, "We performed domain adaptation of language data using a combination of similarity metrics. (Wolk & Marasek, 2017)"@en, "For a given set of queries Q the attention uses a similarity function to compare each query with a set of keys K. (Helcl, Libovický & Variš, 2018)"@en, "For calculating the similarity measures we concatenate the essays of the successful applicants and create a corpus which is used for comparison with both training and testing data. (Kanojia, Wani & Bhattacharyya, 2017)"@en, "The similarity measure is computed between vectors encoding not only the words in the window but also the speakers who uttered the words. (Camelin, Damnati, Bouchekif, Landeau, Charlet & Estève, 2018)"@en, "Cet article introduit nouvelle une mesure de similarité document (Chappelier & Eckard, 2009)"@fr, "To make our model robust to alignment noise we use only content words to compute the similarity function. (Padó & Lapata, 2006)"@en ;
  skos:broader <http://data.loterre.fr/ark:/67375/8LP-G006D599-R> ;
  skos:prefLabel "similarity measure"@en, "mesure de similarité"@fr ;
  skos:hiddenLabel "Similarity measure"@en, "Mesure de similarité"@fr ;
  dc:created "2024-06-26T15:15:56"^^xsd:dateTime ;
  skos:altLabel "similarity metric"@en, "measure of similarity"@en, "similarity function"@en ;
  a skos:Concept ;
  skos:inScheme <http://data.loterre.fr/ark:/67375/8LP> .