prof. dr. ir. Thomas Demeester
- ORCID iD
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0000-0002-9901-5768
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- Conference Paper
- open access
Distractor generation for multiple-choice questions with predictive prompting and large language models
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- Conference Paper
- open access
Automatic glossary of clinical terminology: a large-scale dictionary of biomedical definitions generated from ontological knowledge
(2023) p.265-272 -
Learning from partially annotated data : example-aware creation of gap-filling exercises for language learning
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Diverse content selection for educational question generation
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Detecting idiomatic multiword expressions in clinical terminology using definition-based representation learning
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- Journal Article
- A1
- open access
EduQG : a multi-format multiple-choice dataset for the educational domain
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- Journal Article
- A1
- open access
Learning to reuse distractors to support multiple choice question generation in education
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- Journal Article
- A1
- open access
CookDial : a dataset for task-oriented dialogs grounded in procedural documents
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DLIME-graphs : a DLIME extension based on triple embedding for graphs
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BioLORD : learning ontological representations from definitions for biomedical concepts and their textual descriptions