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Vocabulary of natural language processing

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Concept information

... > NLP methods and tools > artificial intelligence > machine learning > machine learning approach > supervised learning > negative sampling

Terme préférentiel

negative sampling  

Définition

  • A technique used in word embedding models which involves randomly selecting negative examples to train the model to distinguish between positive and negative word pairs.

Concept générique

Exemple

  • Training was done by applying negative sampling with 15 negative samples per target-context pair for 10 iterations over the entire corpus using stochastic gradient descent. (Komninos & Manandhar, 2016)

Traductions

URI

http://data.loterre.fr/ark:/67375/8LP-FJJS0XPD-0

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