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Vocabulary of natural language processing

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Concept information

... > NLP methods and tools > model > representation model > vector representation > embedding > semantic embedding

Terme préférentiel

semantic embedding  

Concept générique

Exemple

  • Our method repeats this process from the bottom up to get semantic embeddings at all levels. (Zhao, He, Xiao & Xu, 2023)
  • Sem-BERT is intended to handle multiple sequence inputs the words in the input sequence are passed to semantic role labeling to obtain multiple predicate-derived structures to form a semantic embedding. (Galitsky, Ilvovsky & Goncharova, 2021)
  • Two utterances could be labelled as having the same content if their semantic embeddings are close to each other (e.g. when cosine similarity is above a certain threshold). (Wegmann, Schraagen & Nguyen, 2022)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-NZRD3L6P-L

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