Scholar
Jorge J. Garcia Flores
Google Scholar ID: xAx9DYQAAAAJ
Research Engineer, CNRS/LIPN, Paris Nord University
Citations & Impact
Citations
95
H-index
4
i10-index
1
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Paper 'GeSERA: General-domain Summary Evaluation by Relevance Analysis', presented at RANLP 2021 in September 2021.
- 2. Paper 'Saucissonnage of Long Sequences into a Multi-encoder for Neural Text Summarization with Transformers', presented at EGC 2021 in January 2021.
- 3. Paper 'Apprentissage par renforcement pour la recherche d’experts sur le web', presented at EGC'2020 in January 2020.
- 4. Report 'Recommendations on automatic document analysis: acquisition, management, exploration', published in September 2019.
Research Experience
- 1. Responsible for the LIPN's ChêneTAL platform, providing computing infrastructures such as GPU acceleration for NLP and AI experiments.
- 2. Developing the NLP framework ChêneTAL to facilitate the sharing and reuse of NLP systems, resources, and demos developed by the RCLN research team.
- 3. Managing the LIPN website and co-leading the software development team (#DevTeamLIPN) of the laboratory.
- 4. Advising engineers and PhD students on the development and implementation of NLP systems and scientific or management applications.
Background
- CNRS research engineer focused on developing methods and applications in Natural Language Processing (NLP) and Artificial Intelligence (AI). His research focuses on two main areas: 1) expertise mining using deep reinforcement learning on web data, and 2) generation of literary microfictions based on Transformer (GPT) models.
Co-authors