Nicolas Gutehrlé

Nicolas Gutehrlé is a Post-doctoral researcher at the ANR InSciM project (2024–Present), focusing on modeling uncertainty in scientific articles across disciplines. He also serves as a Teaching Assistant at Université de Bourgogne and Université de Franche-Comté, instructing courses in Computational Linguistics, Natural Language Processing, and related fields. His research interests include Digital Humanities, Information Extraction, and Knowledge Management, with a focus on semantic annotation and archival document analysis.

**Research Projects**

• ANR InSciM: Developing linguistic models to identify uncertainty expressions in scientific papers (SSH/STM disciplines).
• EMONTAL Project (PhD): Automated processing of heterogeneous archival collections for heritage enhancement via NLP and discourse analysis.

**Teaching**: Delivers courses in Computational Linguistics, Phonetic Modeling, Cognitive Methods, and Software Engineering for NLP across master’s programs. Guides workshops on LaTeX and scientific writing.

**Popularization**: Actively participates in events like European Researchers’ Night and Science Festival, promoting understanding of historical document analysis and semantic technologies through articles and public engagement.