Orphée is a senior researcher at the LT3 team with great expertise in readability prediction and text mining of user-generated content. She obtained her PhD in 2015 for which she devised the first state-of-the-art classification-based readability prediction system for Dutch and the first end-to-end system for fine-grained sentiment analysis. For both systems she investigated the added value of incorporating deep semantic knowledge in the form of coreferential relations, semantic roles and linked open data.
During her postdoc, Orphée has been further elaborating her readability research by investigating domain portability and collaborated on papers researching translation quality and post-editing. At the same time, she is exploring new techniques for porting her sentiment analysis pipeline to different domains and languages and has successfully finalized a valorization project with the industry. Currently, she is enthusiastic to undertake the next logical step and employ her expertise on deep semantic processing and readability prediction to the closely related domain of automated writing evaluation.
Orphée is teaching courses on digital communication using blended learning techniques, guides several PhD students and is actively involved in various research projects.