PhD Job Day

About Hanane KTEICH

  • You are PhD student
  • Year 3th year
  • Master’s year 1first year
  • Current establishment (if doctoral student) UArtois
  • Current institution Master (you are a master) University of Lille
  • establishment in which I obtained the doctorate University of Lille
  • Doctoral school ED A2U STS
  • Laboratory CRIL
  • Discipline Computer science
  • Personal address 20 bis rue jean souvraz
  • Code postal 62300
  • Ville Lens
  • Country France
  • Date of birth (format JJ/MM/AAAA) 27/07/1998
  • I understand and accept the privacy policy I understand and accept the privacy policy

About me


  • 2021 - Present
    Université d'Artois

    PhD université d'Artois - Labo du CRIL

    I am a Ph.D. student at the Université d'Artois, affiliated with the CRIL-CNRS laboratory in Lens, France. My research focuses on developing and utilizing large language models to retrieve common sense knowledge from textual data. My first contribution in this field is the paper titled Distilling Semantic Concept Embeddings from Contrastively Fine-Tuned Language Models, co-authored with Na Li, Zied Bouraoui, and Steven Schockaert. This paper is presented at the SIGIR'23 conference, showcasing of the application of language models for semantic concept extraction. I aim to advance the understanding and retrieval of common sense knowledge through innovative approaches in the field of natural language processing. Currently I am working on enhancing performance of pretrained language models in the task of medical documents classifications, medical entities extraction, medical documents representation, etc.




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