Experience

Université Moulay Ismail Meknès

• Higher Education
• 100 - 200 Employee

• Assistant Professor

  • Dec 2022 - Present



Faculté des Sciences de Fès

• Morocco
• Research Services
• 1 - 100 Employee

• PhD Researcher in Natural Language Processing

  • Jan 2018 - Jul 2022

  • Developed a neural joint model, called ADERel, for extracting adverse drug event (ADE) relation. The source code is available at https://github.com/drissiya/ADERel. • Participated in the BioCreative VII Track 1: Text mining drug and chemical-protein interactions (DrugProt). The source code of my participation is available at https://github.com/drissiya/mttl-drugprot. • Proposed an end-to-end system based on multi-task transfer learning for ADE extraction, called MTTLADE. The source code is available at https://github.com/drissiya/MTTLADE. • Proposed a deep neural model for complex adverse drug reaction mentions extraction, called DeepCADRME. The source code is available at https://github.com/drissiya/DeepCADRME. • Designed a weighted online recurrent extreme learning machine based method to identify simple ADE mentions. Show less