Research domains
Connor MacLean works on natural language processing to identify innovative companies and emerging technologies. His publications cover named-entity recognition on French texts to detect new technologies, technological domains and startup names in renewable energy, information extraction for technology trends, and the measurement of transdisciplinarity in startups using TRIZ principles. His thesis work underpins HiveScan, the Chair’s tool that maps the innovative companies of a field.
2025 · Conference paper
Connor Maclean, Denis Cavallucci
20e Conférence en Recherche d’Information et Applications (CORIA) 32ème Conférence sur le Traitement Automatique des Langues Naturelles (TALN) 27ème Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues (RECITAL) Les 18e Rencontres Jeunes Chercheurs en RI (RJCRI)
2024 · Conference paper
Connor Maclean, Denis Cavallucci
World Conference of AI-Powered Innovation and Inventive Design 24th IFIP WG 5.4 International TRIZ Future Conference, TFC 2024,
2024 · Journal article
Connor Maclean, Denis Cavallucci
Machine Learning and Knowledge Extraction
