JONAS NOBLET

Encadrement - parcours TransCog, masters de sciences cognitives, Université Grenoble Alpes, France.

EDUCATION

• PHD DEGREE IN NATURAL LANGUAGE PROCESSING
  • 2022 – Present | LIDILEM, Université Grenoble Alpes, and Ixiade, Grenoble
  • Automation of qualitative coding of user feedbacks on innovative products and services. (Currently, user opinions are collected through open questionnaires and analyzed by hand. The objective of the thesis is to develop a decision support tool that would simplify the analysis process.)
• MASTER’S DEGREE IN COGNITIVE SCIENCE Linguistics specialty
  • 2018 – 2020 | École Normale Supérieure – Université Paris Diderot, Paris
• DOUBLE DEGREE, BACHELOR IN COMPUTER SCIENCE - BACHELOR IN LINGUISTICS
  • 2017 – 2018 | Nanyang Technological University, Singapore
  • 2015 – 2017 | Université Paris Sorbonne, Paris

WORK EXPERIENCE

• BUSINESS INTERNSHIP Translation model selection
  • Feb 2021 – Jul 2021 | Systran, Paris
  • Design and development of a selection method for neural translation models. (Each of the translation model we worked with was tailored to a specific domain – news articles, legal texts, dialogues: our goal was to select the most fitting model given an input sentence of unknown origin.)
• RESEARCH INTERNSHIP Anaphora problem resolution
  • Feb 2020 – Jun 2020 | Lattice, UMR CNRS 8094, Paris
  • Development of an automatic system to solve Winograd schemas. (Winograd schemas are anaphora resolution problems designed to require pragmatic knowledge. This aspects makes them difficult to tackle with text processing algorithms and interesting to study.)

Noblet, J. (2025). Le bruit dans la mesure de la composante cognitive de l’émotion pour l’évaluation de l’acceptabilité des innovations. Corpus, (26). ⟨hal-04989549v1⟩

Noblet, J. (2023). Mesurer l’accord inter-juge avec l’Alpha de Krippendorff : une étude des fonctions de différence [Résumé de poster]. Journées Linguistique de Corpus. ⟨hal-04194831⟩