A Convolutional Neural Network for Modelling Sentences

The ability to accurately represent sentences is central to language understanding. We describe a convolutional architecture dubbed the Dynamic Convolutional Neural Network (DCNN) that we adopt for the semantic modelling of sentences. The network uses Dynamic k-Max Pooling, a global pooling operatio...

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Detalhes bibliográficos
Principais autores: Kalchbrenner, N, Grefenstette, E, Blunsom, P
Formato: Journal article
Publicado em: 2014

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