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Vocabulary of natural language processing (POC)

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Concept information

NLP methods and tools > model > representation model > hidden representation

Preferred term

hidden representation  

Definition

  • The abstract multidimensional space associated to each layer of a neural network where the representation of the learned data is implicitly built. Latent space contains the meaningful internal features representations of learned data, which makes it not directly interpretable. (Kaadoud et al., Explainable AI: a narrative review at the crossroad of Knowledge Discovery, Knowledge Representation and Representation Learning, 2021)

Broader concept

Entry terms

  • hidden embedding
  • hidden state
  • latent representation
  • latent space

In other languages

URI

http://data.loterre.fr/ark:/67375/8LP-W5408R37-4

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