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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

URI

http://data.loterre.fr/ark:/67375/LTK-G64XHKJT-9

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