This master thesis aims at developing neural networks for text-mining in justice decisions. The desired final outcome is a neural network capable of summarizing justice decision's text into a feature-vector. This neural network will enable us to explore the relationships between trademark logos, with the legal aspect of trademark similarity, and ultimately, to propose novel tools for legal offices for their daily operations (trademark similarity assessment, search engines, …).

This subject is interdisciplinary and will require collaborations with two Law Master Thesis students. You will present and explain the different algorithms, and enable them (using, e.g. Explainable AI techniques) to analyse and evaluate the systems for their discipline.

Contact : Thomas Vandamme (thomas.vandamme@ulb.be)

Promoter : Prof. Olivier Debeir