Multichannel Variable-Size Convolution for Sentence Classification

CONLL 2015 Wenpeng YinHinrich Schütze

We propose MVCNN, a convolution neural network (CNN) architecture for sentence classification. It (i) combines diverse versions of pretrained word embeddings and (ii) extracts features of multigranular phrases with variable-size convolution filters... (read more)

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