prof. dr. ir. Thomas Demeester
- ORCID iD
- 0000-0002-9901-5768
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- Conference Paper
- open access
Adaptive Second Language Tutoring Using Generative AI and a Social Robot
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- Journal Article
- open access
BioLORD-2023: semantic textual representations fusing large language models and clinical knowledge graph insights
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- Journal Article
- open access
Few-shot out-of-scope intent classification: analyzing the robustness of prompt-based learning
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- Journal Article
- A1
- open access
EmoTwiCS : a corpus for modelling emotion trajectories in Dutch customer service dialogues on Twitter
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- Conference Paper
- open access
Accelerating Hierarchical Associative Memory: A Deep Equilibrium Approach
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- Conference Paper
- C1
- open access
From numbers to words : multi-modal bankruptcy prediction using the ECL dataset
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- Conference Paper
- C1
- open access
Zero-shot cross-lingual sentiment classification under distribution shift : an exploratory study
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- Conference Paper
- C1
- open access
CAW-coref : conjunction-aware word-level coreference resolution
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- Conference Paper
- C1
- open access
BioDEX : large-scale biomedical adverse drug event extraction for real-world pharmacovigilance
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- Conference Paper
- C1
- open access
Synthetic data : can we trust statistical estimators?
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- Conference Paper
- C1
- open access
Career path prediction using resume representation learning and skill-based matching
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Extreme multi-label skill extraction training using large language models
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- Conference Paper
- C1
- open access
IDAS : intent discovery with abstractive summarization
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- Conference Paper
- C1
- open access
Unimodalities count as perspectives in multimodal emotion annotation
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Distractor generation for multiple-choice questions with predictive prompting and large language models