Orphée is associate professor of language technology for educational applications. She is interested in how Natural Language Processing (NLP) can aid language learning and investigates how deeper linguistic knowledge can - maybe already is - or should be incorporated into the current state of the art. She has great expertise in linguistic text processing at the word, sentence and text level, corpus creation and applying state-of-the-art machine learning methodologies to NLP applications in a variety of domains and languages (though she does have a weak spot for her native language: Dutch). She is an advocate of human-centered AI and interdisciplinary research.
Orphée has been (co-)supervising PhD students and more senior researchers on subjects related to automated writing support and assessment, translatability prediction, transfer learning for emotion detection, cross-lingual projection and coreference resolution. NLP is an inherently interdisciplinary research field and in various projects she has been extensively seeking collaboration with researchers and stakeholders from other domains (such as Education, Communication Science, Computer Science and Psychology).
She is lecturer-in-charge of the course Computer-Assisted Language Learning, teaches two courses on Digital Communication and always eager to supervise Bachelor and Master students to help them take their first steps into the wonderful world of human-centered AI and NLP.
