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Neural Probabilistic Language Model

Era: The Revival · 1990s–2010s

Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Jauvin proposed a neural probabilistic language model that jointly learns distributed word representations and word-sequence probabilities to address the curse of dimensionality. The model is feed-forward, not recurrent.

Yoshua Bengio

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  1. A Neural Probabilistic Language Model

    Journal of Machine Learning Research · Source type: paper

    Bengio and colleagues present a neural probabilistic language model.

    Published: ·Accessed: