MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification

NAACL 2016 Ye ZhangStephen RollerByron Wallace

We introduce a novel, simple convolution neural network (CNN) architecture - multi-group norm constraint CNN (MGNC-CNN) that capitalizes on multiple sets of word embeddings for sentence classification. MGNC-CNN extracts features from input embedding sets independently and then joins these at the penultimate layer in the network to form a final feature vector... (read more)

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