About
Orphée De Clercq is an Assistant Professor at Ghent University, specializing in language technology for educational applications. Her research focuses on leveraging Natural Language Processing (NLP) and Machine Learning (ML) to enhance computer-assisted language learning, readability prediction, and automated writing evaluation. She also explores sentiment analysis, emotion detection, and event coreference resolution in Dutch and multilingual contexts.
- Education: PhD in 2015 with groundbreaking work in readability prediction and fine-grained sentiment analysis for Dutch.
Research Trends in her recent publications emphasize:
- Readability across domains and languages
- Emotion Detection using transformers and affect lexica
- Event Coreference in cross-document news
- Automated Writing Evaluation through NLP
- Implicit Sentiment Analysis in user-generated content
- Cross-Lingual Transfer with multilingual datasets
She co-supervises four PhD students and contributes to interdisciplinary projects like Steunpunt Toetsen, SentEMO, and NewsDNA. Her teaching includes courses on digital communication and Computer-Assisted Language Learning.
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