معرفی
Antoine Doucet is Docent (equivalent to Associate Professor) in the Department of Computer Science at the University of Helsinki and a researcher at the Helsinki Institute for Information Technology. His research record spans from 2005 to 2022, evidencing sustained scholarly activity in computational linguistics and digital humanities.
Research Interests: Doucet's work sits at the intersection of computer science and the humanities. He investigates computational approaches to language, including multi-document summarization, word-association networks, and language-independent methods. A second strand focuses on digital humanities applications, especially large-scale analysis of historical newspapers and creation of open datasets for diachronic linguistics. More recently, he has explored computational humour generation and the semantic mechanisms behind lexical replacement jokes.
Across more than 35 refereed publications (journal articles, conference papers, book chapters, and one doctoral thesis), Doucet demonstrates a clear trend toward interdisciplinary collaboration, combining NLP techniques with historical, literary, and library-science perspectives.
Press & Dissemination:
- Invited talk on Sequential pattern mining for robust event detection, covered by media on 4 Oct 2018.
Collaboration & Networks: Recent external collaborations span multiple countries, reflecting his active participation in European research consortia around language resources and digital infrastructures.
