Professor Anna Korhonen

Anna Korhonen

Former position

Turing Fellow

Partner Institution

Bio

Anna Korhonen is a Professor of Natural Language Processing and co-director of the Language Technology Laboratory at the University of Cambridge. Her research is centred around how to develop, adapt and apply fundamental Natural Language Processing techniques to meet the needs of intelligent, real-life applications. She is particularly interested in human-centred NLP that draws on the understanding of human cognitive, social and creative intelligence and in developing applications aimed at social and global good.  

She has published over 180 peer-reviewed papers in these areas, most of them in leading journals and conferences in the areas of Natural Language Processing, Computational Linguistics and Cognitive Sciences. Anna has held several fellowships (e.g. the Royal Society University Research Fellowship) and has led numerous grants, including two European Research Council -funded grants. She has been a Programme Chair for major NLP conferences (e.g., ACL, EMNLP) and is an action editor for Transactions of ACL, the ACL Rolling Review and the Journal of Artificial Intelligence Research. She has served as president of SIGLEX and is a member of the ACL Executive Board. She is a Fellow of the European Lab for Learning and Intelligent Systems (ELLIS).
 

Research interests

Prof Korhonen is interested in natural language understanding and its many applications, ranging from multilingual language technologies to conversational AI and applications of text mining and search (e.g., to areas such as cognitive sciences, biomedicine, healthcare, education and others). Her research focuses on making language technologies more adaptable so that they can be realistically applied across tasks, domains and languages, including those that suffer from data scarcity. She is also working on improving the transparency, explainability and interpretability of methodology and the ways in which we collect and merge data from multiple modalities for improved AI.