I am a Post-Doctoral Research Associate in Computational Linguistics, working on the ERC-selected project Computational Corpus Annotation for Quantitative Analysis of Latin Lexical Semantics (COALA) funded by UKRI. In early 2026, I obtained a PhD in computer science from the University of Lille, associated with the Inria Lille lab, after I obtained a master’s degree in data science in 2022 and a bachelor’s degree in mathematics and computer science applied to linguistics in 2020, both from the University of Lille.

Research interests and PhD supervision

My research interests lie at the intersection of Natural Language Processing and Semantics, mostly lexical and/or diachronic semantics. Currently, they include (but are not limited to):

• Computational models of word meaning and interpretability of these models
• Quantitative and computational studies of semantic change
• Automatic sense-annotation methods
• Clustering algorithms and word sense induction methods
• Onomasiological (i.e. meaning-to-word and/or concept-based) approaches to semantic change

Selected publications

• Bastien Liétard, Gabriel Loiseau, 2026. CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026

• Bastien Liétard, Pascal Denis, Mikaela Keller, 2024. To Word Senses and Beyond: Inducing Concepts with Contextualized Language Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 24).

• Bastien Liétard, Mikaela Keller, Pascal Denis, 2024. Towards an Onomasiological Study of Lexical Semantic Change Through the Induction of Concepts. In Proceedings of the 5th Workshop on Computational Approaches to Historical Language Change (LChange 2024).