CANONICAL HISTORY
A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin published A Neural Probabilistic Language Model in the Journal of Machine Learning Research in February 2003. The paper proposed learning distributed word representations jointly with a neural probability function for word sequences to address generalization limits associated with the curse of dimensionality.
Evidence / resource
This page preserves the public LINEAiGE record and its first-party source relationship.
Record identity
LINEAiGE IDneural-probabilistic-language-model-2003