A Convolutional Neural Network for Modelling Sentences
Published: Jan 1, 2014
Abstract
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 operation over linear sequences. The network handles input sentences of varying length and induces a feature graph over the sentence that is capable of...
Paper Details
Title
A Convolutional Neural Network for Modelling Sentences
Published Date
Jan 1, 2014
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