Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations. - David Beauchemin; Nicolas Garneau; Eve Gaumond; Pierre-Luc Déziel; Richard Khoury; Luc Lamontagne (INLG, 2020)

A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well. - Nicolas Garneau; Mathieu Godbout; David Beauchemin; Audrey Durand; Luc Lamontagne (LREC, 2020)

Leveraging Subword Embeddings for Multinational Address Parsing. - Marouane Yassine; David Beauchemin; François Laviolette; Luc Lamontagne (CIST, 2021)

Multinational Address Parsing: A Zero-Shot Evaluation. - Marouane Yassine; David Beauchemin; François Laviolette; Luc Lamontagne (CoRR, 2021)

"FIJO": a French Insurance Soft Skill Detection Dataset. - David Beauchemin; Julien Laumonier; Yvan Le Ster; Marouane Yassine (Canadian AI, 2022)

Quantifying French Document Complexity. - Vincent Primpied; David Beauchemin; Richard Khoury (Canadian AI, 2022)

RISC: Generating Realistic Synthetic Bilingual Insurance Contract. - David Beauchemin; Richard Khoury (Canadian AI, 2023)

Deepparse : An Extendable, and Fine-Tunable State-Of-The-Art Library for Parsing Multinational Street Addresses. - David Beauchemin; Marouane Yassine (CoRR, 2023)

MeaningBERT: assessing meaning preservation between sentences. - David Beauchemin; Horacio Saggion; Richard Khoury (Frontiers Artif. Intell., 2023)

Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation. - David Beauchemin; Zachary Gagnon; Richard Khoury (CoRR, 2024)