Concept information
Preferred term
DeBERTa
Definition
- "Transformer-based neural language model DeBERTa (Decoding-enhanced BERT with disentangled attention), which improves previous state-of-the-art PLMs [Pre-trained Language Models] using two novel techniques: a disentangled attention mechanism, and an enhanced mask decoder." (He et al., 2020).
Broader concept
Entry terms
- Decoding-enhanced BERT with disentangled attention
Bibliographic citation(s)
- • He, P., Liu, X., Gao, J., & Chen, W. (2020). DeBERTa: Decoding-enhanced BERT with Disentangled Attention. https://arxiv.org/abs/2006.03654v1
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In other languages
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French
URI
http://data.loterre.fr/ark:/67375/LTK-G64XHKJT-9
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