@prefix ltk: <http://data.loterre.fr/ark:/67375/LTK> .
@prefix skos: <http://www.w3.org/2004/02/skos/core#> .
@prefix ns0: <http://data.loterre.fr/OntoTM#> .
@prefix ns1: <http://www.ebi.ac.uk/swo/> .
@prefix ns2: <http://w3id.org/meta-share/omtd-share/> .
@prefix dc: <http://purl.org/dc/terms/> .

ltk:-SCTX2SHF-V
  skos:prefLabel "plongement lexical"@fr, "word embedding"@en ;
  a skos:Concept ;
  ns0:executes ltk:-Q59K2JK5-2 .

ltk:-C3259FJL-2
  skos:prefLabel "anglais"@fr, "English"@en ;
  a skos:Concept ;
  ns0:isInputLanguageOf ltk:-Q59K2JK5-2 .

ltk:-PFDPNVQ7-3
  skos:prefLabel "transformeur"@fr, "transformer"@en ;
  a skos:Concept ;
  ns1:SWO_0000085 ltk:-Q59K2JK5-2 .

ltk:-WVMJL37J-5
  skos:prefLabel "Python"@fr, "Python"@en ;
  a skos:Concept .

ltk:-Q59K2JK5-2
  skos:definition "\"models the paragraph-level interactions of case documents via BERT and then aggregate these interactions to infer the document relevance via a sequential modeling mechanism.\" (Shao et al., 2020)."@en, "« modélise les interactions au niveau des paragraphes des documents d’affaires juridiques via BERT, puis agrège ces interactions pour inférer la pertinence du document via un mécanisme de modélisation séquentielle. » (Shao et al., 2020)."@fr ;
  ns0:hasApplicationField ltk:-ZFG0L6H3-Q ;
  ns1:has_license ltk:-TSJJ2WD8-T ;
  ns0:hasDesignCountry "Chine"@fr, "Japon"@fr, "Japan"@en, "China"@en ;
  ns0:hasRepository <https://github.com/sophiaalthammer/bert-pli> ;
  skos:prefLabel "BERT-PLI"@en, "BERT-PLI"@fr ;
  ns1:SWO_0040005 ltk:-SCTX2SHF-V ;
  ns1:SWO_0000741 ltk:-WVMJL37J-5 ;
  ns2:documentationUrl <https://github.com/sophiaalthammer/bert-pli> ;
  ns1:SWO_0000740 ltk:-PFDPNVQ7-3 ;
  skos:broader ltk:-SWNPX252-5 ;
  a skos:Concept ;
  ns0:hasInputLanguage ltk:-C3259FJL-2 ;
  skos:inScheme ltk: ;
  dc:bibliographicCitation "• Shao, Y., Mao, J., Liu, Y., Ma, W., Satoh, K., Zhang, M., & Ma, S. (2020). BERT-PLI : Modeling paragraph-level interactions for legal case retrieval. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 3501‑3507.  <a href=\"https://doi.org/10.24963/ijcai.2020/484\">https://doi.org/10.24963/ijcai.2020/484</a>" ;
  ns0:basedOn ltk:-SSWGBD85-7 .

ltk:-SWNPX252-5
  skos:prefLabel "large language model"@en, "grand modèle de langue"@fr ;
  a skos:Concept ;
  skos:narrower ltk:-Q59K2JK5-2 .

ltk:-ZFG0L6H3-Q
  skos:prefLabel "information légale"@fr, "legal information"@en ;
  a skos:Concept ;
  ns0:isApplicationFieldOf ltk:-Q59K2JK5-2 .

ltk:-SSWGBD85-7
  skos:prefLabel "BERT"@fr, "BERT"@en ;
  a skos:Concept ;
  ns0:baseOf ltk:-Q59K2JK5-2 .

ltk:-TSJJ2WD8-T
  skos:prefLabel "MIT License"@en, "licence MIT"@fr ;
  a skos:Concept ;
  ns1:is_license_for ltk:-Q59K2JK5-2 .

ltk: a skos:ConceptScheme .