Concept information
Término preferido
negative sampling
Definición
- 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.
Concepto genérico
Ejemplo
- 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)
En otras lenguas
URI
http://data.loterre.fr/ark:/67375/8LP-FJJS0XPD-0
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