Concept information
Término preferido
DeBERTa
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Definición
- "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).
Concepto genérico
Etiquetas alternativas
- Decoding-enhanced BERT with disentangled attention
En otras lenguas
-
francés
URI
http://data.loterre.fr/ark:/67375/LTK-G64XHKJT-9
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