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Thématiques de recherche : My research lies at the intersection of digital humanities and artificial intelligence, with a focus on information extraction, knowledge graphs, ontology learning, and term extraction. I apply these methods to the analysis of controversy, news archives, and narratives in the fields of economy and finance, aiming to better understand how knowledge, opinion, and discourse evolve over time.
Points forts des activités de recherche : My research combines methodologies from digital humanities and artificial intelligence to investigate how language shapes and reflects knowledge across time. A key strength of my work lies in the integration of discourse analysis with advanced techniques such as event relation extraction, knowledge graph construction, and ontology learning. I explore these approaches in the context of news archives, economic and financial narratives, and the analysis of controversies, with a particular interest in how collective memory and public opinion are formed and evolve. I also contribute to the development of infrastructures for cultural heritage, including semantic enrichment and knowledge organization in the context of the European Cultural Heritage Cloud. By bridging information extraction with humanistic inquiry, my work supports new ways of navigating, interpreting, and preserving complex historical and socio-economic data.
