MGNC-CNN: A Simple Approach to Exploiting Multiple Word Embeddings for Sentence Classification
HLT-NAACL, pp. 1522-1527, 2016.
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. MGNCCNN extracts features from input embedding sets independently and then joins these at the penultimate layer in the network to form a...More
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