6211 LH Maastricht
There, I mainly study applications of natural language processing on legal use cases. I am particularly interested in information retrieval on legal documents from several sub-fileds of law (e.g., legislation or court cases). Currently, I work on efficient and interpretable dense retrieval models that can assist people in retrieving relevant statutes to their legal questions.
My goal is to help bridge the gap between people and the law to improve access to justice for all.
A collection of my academic publications.
EACLFinding the Law: Enhancing Statutory Article Retrieval via Graph Neural NetworksIn Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, pages 2753–-2768.
ACLA Statutory Article Retrieval Dataset in FrenchIn Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, pages 6789–6803.
UnpublishedNetBERT: A Pre-trained Language Representation Model for Computer NetworkingMaster’s thesis, University of Liège.